(Prototype) FX Graph Mode Quantization
FX Graph Mode Quantization is the new automated quantization API in PyTorch. It improves upon Eager Mode Quantization by adding support for functionals and automating the quantization process, although people might need to refactor the model to make the model compatible with FX Graph Mode Quantization (symbolically traceable with torch.fx).
* Documentation
* Tutorials:
  * (Prototype) FX Graph Mode Post Training Dynamic Quantization
  * (Prototype) FX Graph Mode Post Training Static Qunatization
  * (Prototype) FX Graph Mode Quantization User Guide
Hardware Support
[Beta] Ability to Extend the PyTorch Dispatcher for a new backend in C++