[CI] Update NVIDIA driver to 580.82.07
#163111
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/163111
Note: Links to docs will display an error until the docs builds have been completed. ⏳ No Failures, 102 PendingAs of commit 5df64e3 with merge base cfc539f ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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I guess this is just a temp change to bypass the recent issue with no-runner-experiment?
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Stamped to unblocked, the PR needs to be cleaned up before landing
To make CI machines capable of running CUDA-13 tests. Unfortunately, this upgrade regresses NUMBA integration, so live patch it with NVIDIA/numba-cuda@6e08c9d [ghstack-poisoned]
To make CI machines capable of running CUDA-13 tests. Unfortunately, this upgrade regresses NUMBA integration, so live patch it with NVIDIA/numba-cuda@6e08c9d This fix was suggested in #162878 (comment) [ghstack-poisoned]
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@pytorchbot merge -f "Lint is green, signal has been green previously" |
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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 merge -f "Take two" |
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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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I suppose we need to lock numba version for a while for this patch to successfully apply? [Assuming a different numba version may have slight line number changes for the driver.py file] |
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Sep 22, 2025
To make CI machines capable of running CUDA-13 tests. Unfortunately, this upgrade regresses NUMBA integration, so live patch it with NVIDIA/numba-cuda@6e08c9d This fix was suggested in pytorch#162878 (comment) Pull Request resolved: pytorch#163111 Approved by: https://github.com/huydhn
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Sep 22, 2025
This reverts commit 16475a8. Reverted pytorch#163111 on behalf of https://github.com/malfet due to It started to fail now, but worked just fine in PR CI ([comment](pytorch#163111 (comment)))
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Sep 22, 2025
To make CI machines capable of running CUDA-13 tests. Unfortunately, this upgrade regresses NUMBA integration, so live patch it with NVIDIA/numba-cuda@6e08c9d This fix was suggested in pytorch#162878 (comment) Pull Request resolved: pytorch#163111 Approved by: https://github.com/huydhn
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Sep 22, 2025
To make CI machines capable of running CUDA-13 tests. Unfortunately, this upgrade regresses NUMBA integration, so live patch it with NVIDIA/numba-cuda@6e08c9d This fix was suggested in pytorch#162878 (comment) Pull Request resolved: pytorch#163111 Approved by: https://github.com/huydhn
cleonard530
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Sep 22, 2025
This reverts commit 16475a8. Reverted pytorch#163111 on behalf of https://github.com/malfet due to It started to fail now, but worked just fine in PR CI ([comment](pytorch#163111 (comment)))
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To make CI machines capable of running CUDA-13 tests. Unfortunately, this upgrade regresses NUMBA integration, so live patch it with NVIDIA/numba-cuda@6e08c9d This fix was suggested in pytorch#162878 (comment) Pull Request resolved: pytorch#163111 Approved by: https://github.com/huydhn
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@pytorchbot cherry-pick --onto release/2.9 --fixes "Critical CI fix" -c critical |
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To make CI machines capable of running CUDA-13 tests. Unfortunately, this upgrade regresses NUMBA integration, so live patch it with NVIDIA/numba-cuda@6e08c9d This fix was suggested in #162878 (comment) Pull Request resolved: #163111 Approved by: https://github.com/huydhn (cherry picked from commit 8dbac62)
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Cherry picking #163111The cherry pick PR is at #163522 and it is linked with issue Critical CI fix. The following tracker issues are updated: Details for Dev Infra teamRaised by workflow job |
atalman
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Sep 22, 2025
[CI] Update NVIDIA driver to `580.82.07` (#163111) To make CI machines capable of running CUDA-13 tests. Unfortunately, this upgrade regresses NUMBA integration, so live patch it with NVIDIA/numba-cuda@6e08c9d This fix was suggested in #162878 (comment) Pull Request resolved: #163111 Approved by: https://github.com/huydhn (cherry picked from commit 8dbac62) Co-authored-by: Nikita Shulga <nikita.shulga@gmail.com>
dsashidh
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Sep 26, 2025
To make CI machines capable of running CUDA-13 tests. Unfortunately, this upgrade regresses NUMBA integration, so live patch it with NVIDIA/numba-cuda@6e08c9d This fix was suggested in pytorch#162878 (comment) Pull Request resolved: pytorch#163111 Approved by: https://github.com/huydhn
dsashidh
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Sep 26, 2025
This reverts commit 16475a8. Reverted pytorch#163111 on behalf of https://github.com/malfet due to It started to fail now, but worked just fine in PR CI ([comment](pytorch#163111 (comment)))
dsashidh
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Sep 26, 2025
To make CI machines capable of running CUDA-13 tests. Unfortunately, this upgrade regresses NUMBA integration, so live patch it with NVIDIA/numba-cuda@6e08c9d This fix was suggested in pytorch#162878 (comment) Pull Request resolved: pytorch#163111 Approved by: https://github.com/huydhn
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Sep 29, 2025
The live patch for numba.cuda introduced in pytorch#163111 causes issues in ROCm CI jobs, which do not use CUDA. This change restricts the patching logic to only run when $BUILD_ENVIRONMENT contains 'cuda'.
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Sep 30, 2025
The patch introduced in pytorch#163111 causes issues in ROCm CI jobs. This change restricts the patching logic to CUDA environments only.
CSkmd
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The patch introduced in pytorch#163111 caused issues in ROCm environments. This change guards the patching logic to CUDA environments only, thus alleviating ROCm builds.
pytorchmergebot
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Oct 4, 2025
The patch introduced in #163111 caused issues in ROCm environments. This change guards the patching logic to CUDA environments only, thus ameliorating test failures in ROCm environments. Pull Request resolved: #164607 Approved by: https://github.com/jeffdaily Co-authored-by: Jeff Daily <jeff.daily@amd.com>
cyyever
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Oct 4, 2025
) The patch introduced in pytorch#163111 caused issues in ROCm environments. This change guards the patching logic to CUDA environments only, thus ameliorating test failures in ROCm environments. Pull Request resolved: pytorch#164607 Approved by: https://github.com/jeffdaily Co-authored-by: Jeff Daily <jeff.daily@amd.com>
Chao1Han
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Oct 21, 2025
) The patch introduced in pytorch#163111 caused issues in ROCm environments. This change guards the patching logic to CUDA environments only, thus ameliorating test failures in ROCm environments. Pull Request resolved: pytorch#164607 Approved by: https://github.com/jeffdaily Co-authored-by: Jeff Daily <jeff.daily@amd.com>
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Stack from ghstack (oldest at bottom):
580.82.07#163111To make CI machines capable of running CUDA-13 tests. Unfortunately, this upgrade regresses NUMBA integration, so live patch it with NVIDIA/numba-cuda@6e08c9d
This fix was suggested in #162878 (comment)