[BUG/CLN] Refactor tensor handling and cleanup lazy weight logic #18
Conversation
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
Updated tensor operations in `symbolic_evaluator.py` to use `lazy_weights` consistently, replacing redundant `LazyTensor` calls. Adjusted dtype handling in `backend_tensor.py` for better compatibility with PyTorch.
Standardized the naming of the `pykeops_enabled` flag to `use_pykeops` for consistency and clarity in backend configuration. Updated relevant test cases, API calls, and internal logic accordingly.
|
Warning This pull request is not mergeable via GitHub because a downstack PR is open. Once all requirements are satisfied, merge this PR as a stack on Graphite.
This stack of pull requests is managed by Graphite. Learn more about stacking. |
This was referenced Aug 5, 2025
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
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Outdated suggestions cannot be applied.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.
[BUG/CLN] Refactor tensor handling and cleanup lazy weight logic
Updated tensor operations in
symbolic_evaluator.pyto uselazy_weightsconsistently, replacing redundantLazyTensorcalls. Adjusted dtype handling inbackend_tensor.pyfor better compatibility with PyTorch.[CLN] Rename
pykeops_enabledtouse_pykeopsacross codebaseStandardized the naming of the
pykeops_enabledflag touse_pykeopsfor consistency and clarity in backend configuration. Updated relevant test cases, API calls, and internal logic accordingly.