Back out "Enable CUTLASS grouped GEMM for pretraining wgrad on GB200 … #5999
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The `python-version` input is not set. The version of Python currently in `PATH` will be used.
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Artifacts
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| Name | Size | Digest | |
|---|---|---|---|
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pytorch_FBGEMM__3.10_cu126_x86_64
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15.8 MB |
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pytorch_FBGEMM__3.10_cu128_x86_64
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44.9 MB |
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pytorch_FBGEMM__3.10_cu130_x86_64
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42.8 MB |
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pytorch_FBGEMM__3.10_rocm6.3_x86_64
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11.2 MB |
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pytorch_FBGEMM__3.10_rocm6.4_x86_64
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11.2 MB |
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pytorch_FBGEMM__3.11_cu126_x86_64
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15.8 MB |
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pytorch_FBGEMM__3.11_cu128_x86_64
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pytorch_FBGEMM__3.11_cu130_x86_64
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42.8 MB |
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pytorch_FBGEMM__3.11_rocm6.3_x86_64
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pytorch_FBGEMM__3.11_rocm6.4_x86_64
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11.2 MB |
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pytorch_FBGEMM__3.12_cu126_x86_64
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15.8 MB |
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pytorch_FBGEMM__3.12_cu128_x86_64
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pytorch_FBGEMM__3.12_cu130_x86_64
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pytorch_FBGEMM__3.12_rocm6.3_x86_64
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11.2 MB |
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pytorch_FBGEMM__3.12_rocm6.4_x86_64
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pytorch_FBGEMM__3.13_cu126_x86_64
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15.8 MB |
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pytorch_FBGEMM__3.13_cu128_x86_64
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44.9 MB |
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pytorch_FBGEMM__3.13_cu130_x86_64
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pytorch_FBGEMM__3.13_rocm6.3_x86_64
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11.2 MB |
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pytorch_FBGEMM__3.13_rocm6.4_x86_64
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11.2 MB |
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pytorch_FBGEMM__3.13t_cu126_x86_64
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15.8 MB |
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pytorch_FBGEMM__3.13t_cu128_x86_64
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pytorch_FBGEMM__3.13t_cu130_x86_64
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pytorch_FBGEMM__3.14_cu126_x86_64
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15.8 MB |
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pytorch_FBGEMM__3.14_cu128_x86_64
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pytorch_FBGEMM__3.14_cu130_x86_64
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42.8 MB |
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pytorch_FBGEMM__3.14_rocm6.3_x86_64
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pytorch_FBGEMM__3.14_rocm6.4_x86_64
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11.2 MB |
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pytorch_FBGEMM__3.14t_cu126_x86_64
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15.8 MB |
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pytorch_FBGEMM__3.14t_cu128_x86_64
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44.9 MB |
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pytorch_FBGEMM__3.14t_cu130_x86_64
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42.8 MB |
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pytorch_FBGEMM__3.14t_rocm6.3_x86_64
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11.2 MB |
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pytorch_FBGEMM__3.14t_rocm6.4_x86_64
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11.2 MB |
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