You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
PyTorch 2.0 released the FX module, which consists of three main components: a symbolic tracer, an intermediate representation, and Python code generation.
PyTorch 2.0 released the FX module, which consists of three main components: a symbolic tracer, an intermediate representation, and Python code generation.
https://pytorch.org/docs/stable/fx.html
Example code:
https://github.com/pytorch/examples/tree/1bef748fab064e2fc3beddcbda60fd51cb9612d2/fx
This allows for manipulation of computational graphs and potentially generation of AD code for tensor network algorithms.
This might provides an easier integration of AD to our library
The text was updated successfully, but these errors were encountered: