turn off reorder_for_peak_memory in case of collectives #155271
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/155271
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (1 Unrelated Failure)As of commit 67b62e5 with merge base 6c05f2f ( UNSTABLE - The following job is marked as unstable, possibly due to flakiness on trunk:
This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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@pytorchbot label "topic: not user facing" |
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Looks like this PR hasn't been updated in a while so we're going to go ahead and mark this as |
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Stack from ghstack (oldest at bottom):
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov @coconutruben