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special-case cuda array interface of zero size #121458
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/121458
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 92eb754 with merge base 6f74b76 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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@crcrpar Thanks for reviving this fix! This looks like what I would have expected to fix the bug.
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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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@pytorchbot label ciflow/trunk |
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@pytorchbot merge -r |
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@pytorchbot started a rebase job onto refs/remotes/origin/viable/strict. Check the current status here |
Signed-off-by: Masaki Kozuki <mkozuki@nvidia.com>
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Merge failedReason: Approvers from one of the following sets are needed:
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@mikaylagawarecki could you help me merge this pr? |
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Stamping to allow merging
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@pytorchbot merge |
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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@crcrpar Thanks for reviving this fix, and thanks to all who helped! |
…d drop CUDA 11 PyTorch tests. (#17475) This PR updates our PyTorch lower bound to 2.4.0 to get the bugfix from pytorch/pytorch#121458. Also, this PR drops CUDA 11 tests because conda-forge no longer produces CUDA 11 builds of PyTorch. This was causing a failure on Hopper GPUs because the last available CUDA 11 builds from conda-forge do not include sm90 support. Authors: - Bradley Dice (https://github.com/bdice) Approvers: - James Lamb (https://github.com/jameslamb) - Matthew Roeschke (https://github.com/mroeschke) URL: #17475
Fixes #98133
retry of #98134