Use linux.g4dn.4xlarge.nvidia.gpu for cuda 12.4 legacy driver tests#163956
Use linux.g4dn.4xlarge.nvidia.gpu for cuda 12.4 legacy driver tests#163956atalman wants to merge 5 commits intopytorch:mainfrom
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/163956
Note: Links to docs will display an error until the docs builds have been completed. ❌ 11 New Failures, 8 Unrelated FailuresAs of commit 806008b with merge base d4e4f70 ( NEW FAILURES - The following jobs have failed:
FLAKY - The following job failed but was likely due to flakiness present on trunk:
UNSTABLE - The following jobs are marked as unstable, possibly due to flakiness on trunk:
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Failure in test due to build was built for sm_52 (Tesla M60) which is arch for linux.4xlarge.nvidia.gpu previously. Would need to change cuda_arch_list for 12.4 build to sm_75 as linux.g4dn.4xlarge.nvidia.gpu has sm_75 (T4). |
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@pytorchmergebot merge -f "periodic failures are pre-existing" |
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 |
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@pytorchbot cherry-pick --onto release/2.9 --fixes "Critical CI fix" -c critical |
…163956) Workaround for #163658 Looks like the workflow passes on 12.8 build that use inux.g4dn.4xlarge.nvidia.gpu but its failing on 12.6 builds that use linux.4xlarge.nvidia.gpu: https://github.com/pytorch/pytorch/actions/runs/17953843505/job/51080623612#step:13:470 Pull Request resolved: #163956 Approved by: https://github.com/malfet Co-authored-by: Mark Saroufim <marksaroufim@meta.com> (cherry picked from commit 349c960)
Cherry picking #163956The cherry pick PR is at #164172 and it is linked with issue Critical CI fix. The following tracker issues are updated: Details for Dev Infra teamRaised by workflow job |
…164172) Use linux.g4dn.4xlarge.nvidia.gpu for cuda 12.4 legacy driver tests (#163956) Workaround for #163658 Looks like the workflow passes on 12.8 build that use inux.g4dn.4xlarge.nvidia.gpu but its failing on 12.6 builds that use linux.4xlarge.nvidia.gpu: https://github.com/pytorch/pytorch/actions/runs/17953843505/job/51080623612#step:13:470 Pull Request resolved: #163956 Approved by: https://github.com/malfet (cherry picked from commit 349c960) Co-authored-by: atalman <atalman@fb.com> Co-authored-by: Mark Saroufim <marksaroufim@meta.com>
Workaround for #163658
Looks like the workflow passes on 12.8 build that use inux.g4dn.4xlarge.nvidia.gpu but its failing on 12.6 builds that use linux.4xlarge.nvidia.gpu: https://github.com/pytorch/pytorch/actions/runs/17953843505/job/51080623612#step:13:470