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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/165915
Note: Links to docs will display an error until the docs builds have been completed. ❌ 2 New Failures, 1 Unrelated FailureAs of commit 9473b9e with merge base a6a0379 ( NEW FAILURES - The following jobs have failed:
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Merge startedYour change will be merged while ignoring the following 2 checks: operator_benchmark / aarch64-opbenchmark-test / test (cpu_operator_benchmark_short, 1, 1, linux.arm64.m8g.4xlarge), operator_benchmark / x86-opbenchmark-test / test (cpu_operator_benchmark_short, 1, 1, linux.12xlarge) Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
Merge failedReason: 1 jobs have failed, first few of them are: trunk / win-vs2022-cpu-py3 / test (default, 1, 4, windows.4xlarge.nonephemeral) Details for Dev Infra teamRaised by workflow job |
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@pytorchmergebot 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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Rebase failed due to Command Raised by https://github.com/pytorch/pytorch/actions/runs/19310282022 |
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@pytorchmergebot 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 |
Merge failedReason: 1 jobs have failed, first few of them are: operator_benchmark / aarch64-opbenchmark-test / test (cpu_operator_benchmark_short, 1, 1, linux.arm64.m8g.4xlarge) Details for Dev Infra teamRaised by workflow job |
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@pytorchmergebot merge -i |
Merge startedYour change will be merged while ignoring the following 2 checks: trunk / linux-jammy-py3-clang12-executorch / test (executorch, 1, 1, linux.2xlarge, unstable), operator_benchmark / aarch64-opbenchmark-test / test (cpu_operator_benchmark_short, 1, 1, linux.arm64.m8g.4xlarge) Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
Merge failedReason: 1 jobs have failed, first few of them are: operator_benchmark / x86-opbenchmark-test / test (cpu_operator_benchmark_short, 1, 1, linux.12xlarge) Details for Dev Infra teamRaised by workflow job |
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@pytorchmergebot merge -i |
Merge startedYour change will be merged while ignoring the following 3 checks: trunk / linux-jammy-py3-clang12-executorch / test (executorch, 1, 1, linux.2xlarge, unstable), operator_benchmark / aarch64-opbenchmark-test / test (cpu_operator_benchmark_short, 1, 1, linux.arm64.m8g.4xlarge), operator_benchmark / x86-opbenchmark-test / test (cpu_operator_benchmark_short, 1, 1, linux.12xlarge) Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
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The merge job was canceled or timed out. This most often happen if two merge requests were issued for the same PR, or if merge job was waiting for more than 6 hours for tests to finish. In later case, please do not hesitate to reissue the merge command |
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@pytorchmergebot merge -i |
Merge startedYour change will be merged while ignoring the following 3 checks: trunk / linux-jammy-py3-clang12-executorch / test (executorch, 1, 1, linux.2xlarge, unstable), operator_benchmark / aarch64-opbenchmark-test / test (cpu_operator_benchmark_short, 1, 1, linux.arm64.m8g.4xlarge), operator_benchmark / x86-opbenchmark-test / test (cpu_operator_benchmark_short, 1, 1, linux.12xlarge) Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
This pull request introduces a new attention operator microbenchmark workflow to the CI system, enabling automated benchmarking and reporting for attention-related operations. The main changes include adding a new GitHub Actions workflow, to add attention benchmarks to the existing Pytorch operator microbenchmark [dashboard](https://hud.pytorch.org/benchmark/v3/dashboard/pytorch_operator_microbenchmark?renderGroupId=main&time.start=2025-10-27T00%3A00%3A00.000Z&time.end=2025-10-29T01%3A00%3A00.000Z&filters.device=cuda&filters.arch=NVIDIA+A100-SXM4-40GB&filters.deviceName=cuda%7C%7CNVIDIA+A100-SXM4-40GB&filters.operatorName=&lcommit.commit=665df0bc7288996d638fcc3da750f8cb2addd6d0&lcommit.workflow_id=18888994873&lcommit.date=2025-10-29T00%3A00%3A00Z&lcommit.branch=refs%2Ftags%2Fciflow%2Fop-benchmark%2F165915&rcommit.commit=665df0bc7288996d638fcc3da750f8cb2addd6d0&rcommit.workflow_id=18888994873&rcommit.date=2025-10-29T00%3A00%3A00Z&rcommit.branch=refs%2Ftags%2Fciflow%2Fop-benchmark%2F165915&lbranch=refs%2Ftags%2Fciflow%2Fop-benchmark%2F165915&rbranch=refs%2Ftags%2Fciflow%2Fop-benchmark%2F165915) Pull Request resolved: pytorch#165915 Approved by: https://github.com/jbschlosser
This pull request introduces a new attention operator microbenchmark workflow to the CI system, enabling automated benchmarking and reporting for attention-related operations. The main changes include adding a new GitHub Actions workflow, to add attention benchmarks to the existing Pytorch operator microbenchmark dashboard