are not, however, committing to backwards compatibility.
>
> _Prototype:_ These features are typically not available as part of binary
> distributions like PyPI or Conda, except sometimes behind run-time flags,
> and are at an early stage for feedback and testing.

Community

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Developer Notes

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  * [ Autograd mechanics ](notes/autograd.html)
  * [ Broadcasting semantics ](notes/broadcasting.html)
  * [ CPU threading and TorchScript inference ](notes/cpu_threading_torchscript_inference.html)
  * [ CUDA semantics ](notes/cuda.html)
  * [ Distributed Data Parallel ](notes/ddp.html)
  * [ Extending PyTorch ](notes/extending.html)
  * [ Extending torch.func with autograd.Function ](notes/extending.func.html)
  * [ Frequently Asked Questions ](notes/faq.html)
  * [ FSDP Notes ](notes/fsdp.html)
  * [ Gradcheck mechanics ](notes/gradcheck.html)
  * [ HIP (ROCm) semantics ](notes/hip.html)
  * [ Features for large-scale deployments ](notes/large_scale_deployments.html)
  * [ Modules ](notes/modules.html)
  * [ MPS backend ](notes/mps.html)
  * [ Multiprocessing best practices ](notes/multiprocessing.html)
  * [ Numerical accuracy ](notes/numerical_accuracy.html)
  * [ Reproducibility ](notes/randomness.html)
  * [ Serialization semantics ](notes/serialization.html)
  * [ Windows FAQ ](notes/windows.html)

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Python API

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    * [ Quantized Functions ](nn.html#quantized-functions)
    * [ Lazy Modules Initialization ](nn.