Optimize wgrad CUTLASS grouped gemm #5634
jiawenliu64fbgemm_gpu_benchmark_cpu.yml
on: pull_request
Matrix: build_artifact
Matrix: benchmark_artifact
Artifacts
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fbgemm_gpu_nightly_cpu_arm_gcc_py3.13.whl
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4.2 MB |
sha256:f62963b034c0cfcd5b1cefda9af917bde838aceca79c5d80ce1f04fb6594a9e7
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fbgemm_gpu_nightly_cpu_x86_gcc_py3.13.whl
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5.35 MB |
sha256:008dfa364144b76e44a32a0e77302b2d0a7d5ca15c1d434afee50c458ff4032a
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fbgemm_gpu_traces_arm_gcc_py3.13_cpu.zip
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238 KB |
sha256:e3dee817ce34cfb035201becaac68480c49a94358abcbc77854f39da756beadb
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fbgemm_gpu_traces_x86_gcc_py3.13_cpu.zip
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238 KB |
sha256:d3bba1dcf82cd0bc0867a9059f7a01e7f9691f7049255f198118be9fca8a7229
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