Enable CUTLASS grouped GEMM for pretraining wgrad on GB200 and H100 (resubmit) #6047
Triggered via pull request
September 22, 2025 21:37
jiawenliu64
Status
Success
Total duration
2h 13m 39s
Artifacts
2
build_wheels_genai_linux_aarch64.yml
on: pull_request
Annotations
1 warning
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filter-matrix
The `python-version` input is not set. The version of Python currently in `PATH` will be used.
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Artifacts
Produced during runtime
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pytorch_FBGEMM__3.10_cu126_aarch64
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15.5 MB |
sha256:57628fe8ff3d3955f7300474032514b5b7391803f9a0465a43833c6d0e353cd9
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pytorch_FBGEMM__3.10_cu128_aarch64
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46.5 MB |
sha256:c8e84e17c8f7508103b28e0a5fa53fd708051400a7e2338bf3dec5d3fd7e54fc
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