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[BC-breaking] Set NonStrict as default for export_for_training#150941
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pytorch-botbot commentedApr 9, 2025 • edited
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🔗 Helpful Links🧪 See artifacts and rendered test results athud.pytorch.org/pr/150941
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit7183fb5 with merge base061832b ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
facebook-github-bot commentedApr 9, 2025
This pull request wasexported from Phabricator. Differential Revision:D72724975 |
facebook-github-bot commentedApr 10, 2025
This pull request wasexported from Phabricator. Differential Revision:D72724975 |
…ch#150941)Summary:- Flip default value of `strict` argument from True to False on torch.export.export_for_training API- All callsites have been updated to provide this argument explicitly to avoid behavior change.- If you see any breakages, that means you may have a new callsite that is missed, please set `strict=True` explicitly to the callsite to mitigage.Test Plan: CIDifferential Revision: D72724975
facebook-github-bot commentedApr 10, 2025
This pull request wasexported from Phabricator. Differential Revision:D72724975 |
facebook-github-bot commentedApr 10, 2025
@pytorchbot merge (Initiating merge automatically since Phabricator Diff has merged) |
pytorchmergebot commentedApr 10, 2025
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in thewiki. Questions? Feedback? Please reach out to thePyTorch DevX Team |
…ch#150941)Summary:- Flip default value of `strict` argument from True to False on torch.export.export_for_training API- All callsites have been updated to provide this argument explicitly to avoid behavior change.- If you see any breakages, that means you may have a new callsite that is missed, please set `strict=True` explicitly to the callsite to mitigage.Test Plan: CIDifferential Revision: D72724975Pull Requestresolved:pytorch#150941Approved by:https://github.com/ydwu4
…ch#150941)Summary:- Flip default value of `strict` argument from True to False on torch.export.export_for_training API- All callsites have been updated to provide this argument explicitly to avoid behavior change.- If you see any breakages, that means you may have a new callsite that is missed, please set `strict=True` explicitly to the callsite to mitigage.Test Plan: CIDifferential Revision: D72724975Pull Requestresolved:pytorch#150941Approved by:https://github.com/ydwu4
EikanWang commentedJun 17, 2025 • edited
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@gmagogsfm ,@ydwu4 since it is a break change and the comment of |
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Summary:
strictargument from True to False on torch.export.export_for_training APIstrict=Trueexplicitly to the callsite to mitigage.Test Plan: CI
Differential Revision: D72724975
cc@ezyang@gchanan