ttnn.fill_rm

ttnn.fill_rm = Operation(python_fully_qualified_name='ttnn.fill_rm', function=<ttnn._ttnn.operations.data_movement.fill_rm_t object>, preprocess_golden_function_inputs=<function default_preprocess_golden_function_inputs>, golden_function=None, postprocess_golden_function_outputs=<function default_postprocess_golden_function_outputs>, is_cpp_operation=True, is_experimental=False)

Generates an NCHW row-major tensor and fill it with high values up to hOnes, wOnes in each HW tile with the rest padded with high values. So for H=2, W=3, hFill=1, wFill=2 the following tensor will be generated:

+------------> W
| hi hi lo
| lo lo lo
|
v H

H, W are expected to be multiples of 32.

The ‘any’ Tensor arg is only used to pass the device and resulting tensor dtype.

val_hi/lo are expected to be floats.

Argument

Description

Data type

Valid range

Required

N

Batch count of output tensor

int

N > 0

Yes

C

Channel count of output tensor

int

C > 0

Yes

H

Height count of output tensor

int

H > 0

Yes

W

Width count of output tensor

int

W > 0

Yes

hOnes

Height of high values region

int

hOnes <= H

Yes

wOnes

Width of high values region

int

wOnes <= W

Yes

any

Any input tensor with desired device and data types for output tensor

tt_lib.tensor.Tensor

Yes

val_hi

High value to use

float

Yes

val_lo

Low value to use

float

Yes
Parameters:

  • N (number) – Batch count of output tensor.

  • C (number) – Channel count of output tensor.

  • H (number) – Height count of output tensor.

  • W (number) – Width count of output tensor.

  • hOnes (number) – Height of high values region.

  • wOnes (number) – Width of high values region.

  • any (ttnn.tensor) – Any input tensor with desired device and data types for output tensor. value greater than 0

  • val_hi (number) – High value to use.

  • val_lo (number) – Low value to use.

Keyword Arguments:

  • memory_config (ttnn.MemoryConfig, optional) – Memory configuration for the operation. Defaults to None.

  • queue_id (int, optional) – command queue id. Defaults to 0.

Returns:

ttnn.Tensor – the output tensor.