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TTNN

  • What is TT-NN?
  • Getting Started
  • Install
  • Using TT-NN
  • Tensor
  • APIs
  • Tutorials
    • Tensor and Add Operation
    • Matmul Operation
    • Multi-Head Attention
    • ttnn Tracer
    • ttnn Profiling
    • Resnet Basic Block
      • Resnet Block
    • Graphing Torch DiT_XL_2 With TTNN
  • Onboarding New Functionality
  • Converting PyTorch Model to TT-NN
  • Adding New TT-NN Operation
  • Profiling TT-NN Operations
  • Building and Uplifting Demos

Models

  • Getting Started
  • Performance

Resources

  • Support
  • Contributing as a developer
TT-NN
  • Tutorials
  • Resnet Basic Block
  • View page source

Resnet Basic Block

Note

This TT-NN tutorial is available on Grayskull only. We are working on compatibility on other architectures.

  • Resnet Block
    • Torch Module (from torchvision)
    • Create torch module and preprocess it to get ttnn parameters
    • Display the parameters of the module
    • Display the traced torch graph
    • Implement ttnn version of the module. Pass in the parameters into the constructor.
    • Run ttnn module and display the traced graph
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