Performance Optimization: Optimized TileShape Configuration for f8 #7585
jiawenliu64fbgemm_gpu_ci_cpu.yml
on: pull_request
Matrix: build_artifact
Matrix: test_and_publish_artifact
Artifacts
Produced during runtime
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fbgemm_gpu_nightly_cpu_arm_clang_py3.10.whl
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2.43 MB |
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fbgemm_gpu_nightly_cpu_arm_clang_py3.11.whl
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2.43 MB |
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fbgemm_gpu_nightly_cpu_arm_clang_py3.12.whl
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2.43 MB |
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fbgemm_gpu_nightly_cpu_arm_clang_py3.13.whl
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2.43 MB |
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fbgemm_gpu_nightly_cpu_arm_clang_py3.9.whl
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2.43 MB |
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fbgemm_gpu_nightly_cpu_arm_gcc_py3.10.whl
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2.57 MB |
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fbgemm_gpu_nightly_cpu_arm_gcc_py3.11.whl
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2.57 MB |
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fbgemm_gpu_nightly_cpu_arm_gcc_py3.12.whl
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2.57 MB |
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fbgemm_gpu_nightly_cpu_arm_gcc_py3.13.whl
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2.57 MB |
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fbgemm_gpu_nightly_cpu_arm_gcc_py3.9.whl
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2.57 MB |
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fbgemm_gpu_nightly_cpu_x86_clang_py3.10.whl
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3.73 MB |
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fbgemm_gpu_nightly_cpu_x86_clang_py3.11.whl
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3.73 MB |
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fbgemm_gpu_nightly_cpu_x86_clang_py3.12.whl
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3.73 MB |
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fbgemm_gpu_nightly_cpu_x86_clang_py3.13.whl
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3.73 MB |
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fbgemm_gpu_nightly_cpu_x86_clang_py3.9.whl
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3.73 MB |
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fbgemm_gpu_nightly_cpu_x86_gcc_py3.10.whl
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3.62 MB |
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fbgemm_gpu_nightly_cpu_x86_gcc_py3.11.whl
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3.62 MB |
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fbgemm_gpu_nightly_cpu_x86_gcc_py3.12.whl
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3.62 MB |
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fbgemm_gpu_nightly_cpu_x86_gcc_py3.13.whl
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3.62 MB |
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fbgemm_gpu_nightly_cpu_x86_gcc_py3.9.whl
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3.62 MB |
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