[CI] Limit Numba CUDA-13 patch to CUDA environments only#164607
[CI] Limit Numba CUDA-13 patch to CUDA environments only#164607CSkmd wants to merge 4 commits intopytorch:mainfrom
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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.
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/164607
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Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
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Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
) 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>
) 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>
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.