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[CUDA-13] Implement workaround for cudaErrorNotSupported by malfet · Pull Request #162412 · pytorch/pytorch · GitHub
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@malfet malfet commented Sep 8, 2025

@malfet malfet added the ciflow/binaries_wheel Trigger binary build and upload jobs for wheel on the PR label Sep 8, 2025
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pytorch-bot bot commented Sep 8, 2025

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/162412

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atalman commented Sep 9, 2025

Confirmed, works:

C:\Jenkins\Miniconda3\envs\py311\Lib\site-packages\torch\cuda\__init__.py:182: UserWarning: cudaGetDeviceCount() returned cudaErrorNotSupported, likely running on CPU machine (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\c10\cuda\CUDAFunctions.cpp:86.)
  return torch._C._cuda_getDeviceCount() > 0
False
>>> torch.cuda.is_available()
False
>>>

@malfet malfet added release notes: cuda release notes category release notes: fx release notes category topic: bug fixes topic category labels Sep 9, 2025
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malfet commented Sep 9, 2025

@pytorchbot merge -f "Lint is green"

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Merge started

Your change will be merged immediately since you used the force (-f) flag, bypassing any CI checks (ETA: 1-5 minutes). Please use -f as last resort and instead consider -i/--ignore-current to continue the merge ignoring current failures. This will allow currently pending tests to finish and report signal before the merge.

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ciflow/binaries_wheel Trigger binary build and upload jobs for wheel on the PR Merged release notes: cuda release notes category release notes: fx release notes category topic: bug fixes topic category

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4 participants