Better Shape Function Registration #3237
Open
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Summary:
torch.compile
requires that custom operators have shape functions registered, as they are needed for tracing.In FBGEMM, we have inconsistently registered such shape functions. This diff attempts to clean up and register a good number of commonly used operators.
Notably, pytorch allows two methods of registering shape functions for custom ops. In CPP, you can use a Meta function, or in python you can use
register_fake
. It turns outregister_fake
is the recommended and more powerful approach. For example, it is needed for ops that cross devices (such as the car ops) and is needed when exporting a traced graph.This diff thus focuses on the register_fake method and converts a handful of Meta registrations to it. My hope is that this can provide an easily extensible way of registering shape functions for other kernel authors.
Differential Revision: D64147797