Fixing some torch segmented_polynomial support#270
Merged
Conversation
Add __reduce__ to SegmentedPolynomialFromUniform1dJit, SegmentedPolynomialFusedTP, SegmentedPolynomialIndexedLinear, and SegmentedPolynomial so that unpickling re-delegates to SegmentedPolynomial.__init__, which selects the appropriate backend for the loading machine. Also wrap backend construction in try/except ImportError to handle the case where cuequivariance_ops_torch is importable but specific extensions (e.g. uniform_1d) are not available. Remove the pre-built fallback submodule for fused_tp in favor of lazy construction from the stored polynomial when CPU fallback is needed. Made-with: Cursor
Made-with: Cursor
Precompute descriptor-derived values (einsum equation, output size, path indices) in __init__ instead of referencing the descriptor closure at forward time. Dynamo cannot trace custom Subscripts operations. Made-with: Cursor
mariogeiger
approved these changes
Apr 13, 2026
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
This should fix issues #265 and #267 .