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FBGEMM_GPU-CPU CI

[CUTLASS] Use custom copy of cutlass to enable FP8 Grouped Gemm. #7700

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[CUTLASS] Use custom copy of cutlass to enable FP8 Grouped Gemm.

[CUTLASS] Use custom copy of cutlass to enable FP8 Grouped Gemm. #7700

Triggered via pull request January 31, 2025 19:01
@jwfrommjwfromm
opened #3649
jwfromm:custom_cutlass
Status Success
Total duration 39m 1s
Artifacts 20

fbgemm_gpu_ci_cpu.yml

on: pull_request
Matrix: build_artifact
Matrix: test_and_publish_artifact
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Name Size
fbgemm_gpu_nightly_cpu_arm_clang_py3.10.whl
2.52 MB
fbgemm_gpu_nightly_cpu_arm_clang_py3.11.whl
2.52 MB
fbgemm_gpu_nightly_cpu_arm_clang_py3.12.whl
2.52 MB
fbgemm_gpu_nightly_cpu_arm_clang_py3.13.whl
2.52 MB
fbgemm_gpu_nightly_cpu_arm_clang_py3.9.whl
2.52 MB
fbgemm_gpu_nightly_cpu_arm_gcc_py3.10.whl
2.66 MB
fbgemm_gpu_nightly_cpu_arm_gcc_py3.11.whl
2.66 MB
fbgemm_gpu_nightly_cpu_arm_gcc_py3.12.whl
2.66 MB
fbgemm_gpu_nightly_cpu_arm_gcc_py3.13.whl
2.66 MB
fbgemm_gpu_nightly_cpu_arm_gcc_py3.9.whl
2.66 MB
fbgemm_gpu_nightly_cpu_x86_clang_py3.10.whl
3.81 MB
fbgemm_gpu_nightly_cpu_x86_clang_py3.11.whl
3.81 MB
fbgemm_gpu_nightly_cpu_x86_clang_py3.12.whl
3.81 MB
fbgemm_gpu_nightly_cpu_x86_clang_py3.13.whl
3.81 MB
fbgemm_gpu_nightly_cpu_x86_clang_py3.9.whl
3.81 MB
fbgemm_gpu_nightly_cpu_x86_gcc_py3.10.whl
3.72 MB
fbgemm_gpu_nightly_cpu_x86_gcc_py3.11.whl
3.72 MB
fbgemm_gpu_nightly_cpu_x86_gcc_py3.12.whl
3.72 MB
fbgemm_gpu_nightly_cpu_x86_gcc_py3.13.whl
3.72 MB
fbgemm_gpu_nightly_cpu_x86_gcc_py3.9.whl
3.72 MB