Fine-tune FP8 BMM performance #5518
jiawenliu64fbgemm_gpu_ci_cpu.yml
on: pull_request
Matrix: build_artifact
Matrix: test_and_publish_artifact
Artifacts
Produced during runtime
| Name | Size | |
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fbgemm_gpu_nightly_cpu_arm_clang_py3.10.whl
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3.14 MB |
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fbgemm_gpu_nightly_cpu_arm_clang_py3.11.whl
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3.14 MB |
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fbgemm_gpu_nightly_cpu_arm_clang_py3.12.whl
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3.14 MB |
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fbgemm_gpu_nightly_cpu_arm_clang_py3.9.whl
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3.14 MB |
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fbgemm_gpu_nightly_cpu_arm_gcc_py3.10.whl
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3.1 MB |
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fbgemm_gpu_nightly_cpu_arm_gcc_py3.11.whl
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3.1 MB |
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fbgemm_gpu_nightly_cpu_arm_gcc_py3.12.whl
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3.1 MB |
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fbgemm_gpu_nightly_cpu_arm_gcc_py3.9.whl
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3.1 MB |
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fbgemm_gpu_nightly_cpu_x86_clang_py3.10.whl
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4.11 MB |
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fbgemm_gpu_nightly_cpu_x86_clang_py3.11.whl
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4.11 MB |
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fbgemm_gpu_nightly_cpu_x86_clang_py3.12.whl
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4.11 MB |
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fbgemm_gpu_nightly_cpu_x86_clang_py3.9.whl
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4.11 MB |
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fbgemm_gpu_nightly_cpu_x86_gcc_py3.10.whl
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3.93 MB |
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fbgemm_gpu_nightly_cpu_x86_gcc_py3.11.whl
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3.93 MB |
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fbgemm_gpu_nightly_cpu_x86_gcc_py3.12.whl
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3.93 MB |
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fbgemm_gpu_nightly_cpu_x86_gcc_py3.9.whl
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3.93 MB |
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