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@srossross srossross commented Oct 7, 2022

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pytorch-bot bot commented Oct 7, 2022

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/86462

Note: Links to docs will display an error until the docs builds have been completed.

✅ No Failures

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💚 Looks good so far! There are no failures yet. 💚

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srossross added a commit that referenced this pull request Oct 7, 2022
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@lezcano can you take a look before I request a review?

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@lezcano lezcano left a comment

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LGTM

@pytorch-bot pytorch-bot bot added the ciflow/trunk Trigger trunk jobs on your pull request label Oct 17, 2022
@lezcano lezcano added the ciflow/periodic Trigger jobs ran periodically on master (periodic.yml) on the PR label Oct 17, 2022
@srossross srossross marked this pull request as ready for review October 26, 2022 19:33
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This PR needs a label

If your changes are user facing and intended to be a part of release notes, please use a label starting with release notes:.

If not, please add the topic: not user facing label.

For more information, see https://github.com/pytorch/pytorch/wiki/PyTorch-AutoLabel-Bot#why-categorize-for-release-notes-and-how-does-it-work.

@srossross srossross added the topic: not user facing topic category label Oct 26, 2022
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Cool; nice comments for the new xfails.

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The ROCm failures look real:

2022-10-26T21:39:34.0129521Z ==================================== RERUNS ====================================
2022-10-26T21:39:34.0129823Z _____ TestCommonCUDA.test_compare_cpu__refs_bitwise_right_shift_cuda_int64 _____
2022-10-26T21:39:34.0130099Z Unexpected success
2022-10-26T21:39:34.0130386Z _____ TestCommonCUDA.test_compare_cpu__refs_bitwise_right_shift_cuda_int64 _____
2022-10-26T21:39:34.0130651Z Unexpected success
2022-10-26T21:39:34.0130867Z =================================== FAILURES ===================================
2022-10-26T21:39:34.0131163Z _____ TestCommonCUDA.test_compare_cpu__refs_bitwise_right_shift_cuda_int64 _____
2022-10-26T21:39:34.0131593Z Unexpected success

some of the xfails may need to become skips because CPUs are inconsistently consistent with CUDA

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@pytorchbot merge

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Merge started

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5 participants