PyTorch Internals 16 - The Big Picture of FX, torch.compile, and Inductor
PyTorch is no longer only an eager framework; compiler paths are now an important part of its optimization story
Why the compile path matters
Modern PyTorch increasingly relies on graph capture and compilation:
- eager code is captured into a graph
- the graph is transformed and optimized
- a backend lowers it to more efficient execution
That changes how custom operators should be designed and how performance work should be approached.
The next post places Triton inside that broader story.