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Fix layernorm cpu precision issues #108089
Fix layernorm cpu precision issues #108089
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[ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/108089
Note: Links to docs will display an error until the docs builds have been completed. ⏳ No Failures, 2 PendingAs of commit 7505ac9 with merge base dcc674d (): This comment was automatically generated by Dr. CI and updates every 15 minutes. |
ghstack-source-id: 62793e0c762d749e1e7bde11058057f33ad2a0cd Pull Request resolved: #108089
#108072 cc jgong5 mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]
ghstack-source-id: 0d45d2c59f6d91eba870701e8516aaf701b7fead Pull Request resolved: #108089
@pytorchbot merge |
@mikaylagawarecki nice work ! |
@mikaylagawarecki, could you help cherry-pick this PR for 2.1 branch? see #108055. Thanks! |
Merge failedReason: This PR needs a If not, please add the To add a label, you can comment to pytorchbot, for example For more information, see Details for Dev Infra teamRaised by workflow job |
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SGTM
Could you add a test to make sure we preserve this behavior properly going forward please?
#108072 cc jgong5 mingfeima XiaobingSuper sanchitintel ashokei jingxu10 [ghstack-poisoned]
ghstack-source-id: 5913a3c505050eb3280e7f41e1db2763de656fd5 Pull Request resolved: #108089
@XiaobingSuper I don't think this meets the criteria as a critical fix, so unfortunately we can't cherry pick this |
@pytorchbot merge |
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 |
#108072
Stack from ghstack (oldest at bottom):
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10