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CI Sev - pin docker images for A100 workers #108871
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/108871
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: ❌ 1 New Failure, 7 Unrelated FailuresAs of commit 88c8006 with merge base cdf7f3e ( NEW FAILURE - The following job has failed:
FLAKY - The following jobs failed but were likely due to flakiness present on trunk:
BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
UNSTABLE - The following jobs failed but were likely due to flakiness present on trunk and has been marked as unstable:
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This looks good, but you probably want to cancel the nightly job and force merge it this case because it takes like 8 hours or something to finish that one.
It seems like... it didn't work? |
I think I found the problem why it did not worked. Manual remediation step is required. Worth giving it a shot. Will merge this now, and run manual remediation. |
@pytorchbot merge -f "working on CI sev" |
Merge startedYour change will be merged immediately since you used the force (-f) flag, bypassing any CI checks (ETA: 1-5 minutes). Please use Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
This reverts commit 89eb7a7.
This reverts commit 89eb7a7. Not required anymore since issue addressed by pytorch/test-infra#4563 But deploying normally. Want to get proper green signal for deployment Pull Request resolved: #109071 Approved by: https://github.com/huydhn
Pinning docker images, trying to address SEV : pytorch#108862 Pull Request resolved: pytorch#108871 Approved by: https://github.com/huydhn
Pinning docker images, trying to address SEV : #108862