Optimize wgrad CUTLASS grouped gemm #5985
Triggered via pull request
September 18, 2025 04:35
jiawenliu64
Status
Success
Total duration
2h 35m 25s
Artifacts
5
build_wheels_genai_linux_x86.yml
on: pull_request
generate-matrix
/
generate
6s
Matrix: pytorch/FBGEMM / build
Matrix: pytorch/FBGEMM / upload / upload
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
| Name | Size | Digest | |
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pytorch_FBGEMM__3.10_cu126_x86_64
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17.9 MB |
sha256:c516a4bd1c8dc3f1b1f11770fbfcbf82f542635d553dce90db7b3713c8fd1171
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pytorch_FBGEMM__3.10_cu128_x86_64
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50.2 MB |
sha256:8df02ec52d770059ff2d97d282aa18de81b1e546cf06129a8d20efb415d250c5
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pytorch_FBGEMM__3.10_cu130_x86_64
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48.1 MB |
sha256:2054dbf1ce4686b1dc8a535f0f105f9a3338b2620e1025bf1cba8ee07ae851c3
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pytorch_FBGEMM__3.10_rocm6.3_x86_64
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11.1 MB |
sha256:cddde995117e4642dc04eeabe4ac9771edc7c3ecfd2f8f9632c87fce57587dc3
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pytorch_FBGEMM__3.10_rocm6.4_x86_64
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11.2 MB |
sha256:0c982b83b28feca293be71b89859d59955258046bbfecc167d216d146aa4686c
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