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Default to use training IR by yushangdi · Pull Request #137804 · pytorch/pytorch · GitHub
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Default to use training IR #137804

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Default to use training IR #137804

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Summary: Since capture_pre_autograd_graph is deprecated and will be deleted soon, we default this option to true.

Test Plan: CI

Reviewed By: tugsbayasgalan

Differential Revision: D64254236

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pytorch-bot bot commented Oct 11, 2024 •
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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/137804

Note: Links to docs will display an error until the docs builds have been completed.

✅ No Failures

As of commit ddda57d with merge base 3e0b83a (image):
💚 Looks good so far! There are no failures yet. 💚

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Default to use training IR
ddda57d 
Summary: Since capture_pre_autograd_graph is deprecated and will be deleted soon, we default this option to true.

Test Plan: CI

Reviewed By: tugsbayasgalan

Differential Revision: D64254236
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This pull request was exported from Phabricator. Differential Revision: D64254236

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This pull request was exported from Phabricator. Differential Revision: D64254236

@pytorch-bot pytorch-bot bot added the ciflow/trunk Trigger trunk jobs on your pull request label Oct 11, 2024
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@pytorchbot merge -f 'Landed internally'

(Initiating merge automatically since Phabricator Diff has merged, using force because this PR might not pass merge_rules.json but landed internally)

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Merge started

Your change will be merged immediately since you used the force (-f) flag, bypassing any CI checks (ETA: 1-5 minutes). Please use -f as last resort and instead consider -i/--ignore-current to continue the merge ignoring current failures. This will allow currently pending tests to finish and report signal before the merge.

Learn more about merging in the wiki.

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@tugsbayasgalan tugsbayasgalan tugsbayasgalan approved these changes

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