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[BC-breaking] Set NonStrict as default for export_for_training #150941
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/150941
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 7183fb5 with merge base 061832b ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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This pull request was exported from Phabricator. Differential Revision: D72724975 |
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…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: CI Differential Revision: D72724975
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This pull request was exported 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: CI Differential Revision: D72724975
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7183fb5
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This pull request was exported from Phabricator. Differential Revision: D72724975 |
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@pytorchbot merge (Initiating merge automatically since Phabricator Diff has merged) |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch 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: CI Differential Revision: D72724975 Pull Request resolved: pytorch#150941 Approved 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: CI Differential Revision: D72724975 Pull Request resolved: pytorch#150941 Approved by: https://github.com/ydwu4
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@gmagogsfm , @ydwu4 since it is a break change and the comment of |
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