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Update Nvidia driver to CUDA 13.0 compatible 580.82.07 #162531
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/162531
Note: Links to docs will display an error until the docs builds have been completed. ❌ 3 New Failures, 4 Unrelated FailuresAs of commit 46a7278 with merge base e900a27 ( NEW FAILURES - The following jobs have failed:
FLAKY - The following jobs failed but were likely due to flakiness present on trunk:
This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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cc @malfet You would need this to be able to start adding tests for CUDA 13.0 on CI |
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@huydhn yes this is needed |
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These failures look legit: |
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@pytorchmergebot rebase -b main |
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@pytorchbot started a rebase job onto refs/remotes/origin/main. Check the current status here |
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Successfully rebased |
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Looks like this is an issue: |
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This happened to me in the past until I found a stable driver. Why don't we try |
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This looks like same issue someone else having as well: |
This updates the nvidia driver to `580.82.07` to add support for CUDA 13.0 runtime. This is similar to pytorch/pytorch#162531 but for our entire fleet
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@pytorchbot rebase |
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@pytorchbot started a rebase job onto refs/remotes/origin/viable/strict. Check the current status here |
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Successfully rebased |
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Closing in favor of #163111 |
Please see: https://docs.nvidia.com/datacenter/tesla/tesla-release-notes-580-65-06/
Looks like our CUDA 13.0 CI tests are passing because however the driver was not updated in CI:
https://github.com/pytorch/pytorch/actions/runs/17577200229/job/49928053389#step:13:577
Please see: