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[5/N] Reconcile barrier and NaN checker #134707
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[ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/134707
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New Failure, 1 Unrelated FailureAs of commit e7d6ec4 with merge base 0dbc728 ( NEW FAILURE - The following job has failed:
FLAKY - The following job failed but was likely due to flakiness present on trunk:
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By using a zeros() tensor instead of empty() tensor. cc XilunWu H-Huang awgu wanchaol fegin fduwjj wz337 wconstab d4l3k c-p-i-o [ghstack-poisoned]
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agree the test is lackluster becuase of not having control over the empty tensor and likely passing (or being flaky).
i think its still worth having since we'd probably get notified via flaky-test behavior if the fix got reverted..
i wonder if we can allocate and free a NaN tensor right before calling .barrier() and trick the allocator into giving back the same memory to raise the chance of hitting the case.
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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 |
By using a zeros() tensor instead of empty() tensor. cc XilunWu H-Huang awgu wanchaol fegin fduwjj wz337 wconstab d4l3k c-p-i-o [ghstack-poisoned]
ghstack-source-id: f 8000 659324 Pull Request resolved: #134707
Merge failedReason: New commits were pushed while merging. Please rerun the merge command. Details for Dev Infra teamRaised by workflow job |
By using a zeros() tensor instead of empty() tensor. cc XilunWu H-Huang awgu wanchaol fegin fduwjj wz337 wconstab d4l3k c-p-i-o [ghstack-poisoned]
@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 |
Merge failedReason: 1 jobs have failed, first few of them are: trunk / linux-focal-rocm6.1-py3.8 / test (default, 2, 2, linux.rocm.gpu) Details for Dev Infra teamRaised by workflow job |
By using a zeros() tensor instead of empty() tensor. cc XilunWu H-Huang awgu wanchaol fegin fduwjj wz337 wconstab d4l3k c-p-i-o [ghstack-poisoned]
@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 |
Merge failedReason: 1 jobs have failed, first few of them are: trunk / linux-focal-cuda12.4-py3.10-gcc9-sm86 / test (default, 4, 5, linux.g5.4xlarge.nvidia.gpu) Details for Dev Infra teamRaised by workflow job |
By using a zeros() tensor instead of empty() tensor. cc XilunWu H-Huang awgu wanchaol fegin fduwjj wz337 wconstab d4l3k c-p-i-o [ghstack-poisoned]
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Merge startedYour change will be merged while ignoring the following 2 checks: pull / linux-focal-py3.11-clang10 / test (crossref, 2, 2, linux.2xlarge), trunk / linux-focal-rocm6.1-py3.8 / test (distributed, 1, 1, linux.rocm.gpu) Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
By using a zeros() tensor instead of empty() tensor. Pull Request resolved: pytorch#134707 Approved by: https://github.com/shuqiangzhang, https://github.com/wconstab ghstack dependencies: pytorch#134345, pytorch#134357, pytorch#134701
By using a zeros() tensor instead of empty() tensor. Pull Request resolved: pytorch#134707 Approved by: https://github.com/shuqiangzhang, https://github.com/wconstab ghstack dependencies: pytorch#134345, pytorch#134357, pytorch#134701
Stack from ghstack (oldest at bottom):
By using a zeros() tensor instead of empty() tensor.
cc @XilunWu @H-Huang @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @c-p-i-o