adding an option to skip zeroing output tensor for f8f8bf16_rowwise_grouped_dynamic #7972
Triggered via pull request
February 15, 2025 02:17
mxz297
Status
Success
Total duration
1h 23m 26s
Artifacts
30
fbgemm_gpu_ci_cuda.yml
on: pull_request
Matrix: build_artifact
Matrix: test_and_publish_artifact
Artifacts
Produced during runtime
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fbgemm_gpu_nightly_cuda_x86_clang_py3.10_cu11.8.0.whl
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fbgemm_gpu_nightly_cuda_x86_clang_py3.10_cu12.4.1.whl
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fbgemm_gpu_nightly_cuda_x86_clang_py3.10_cu12.6.3.whl
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fbgemm_gpu_nightly_cuda_x86_clang_py3.11_cu11.8.0.whl
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fbgemm_gpu_nightly_cuda_x86_clang_py3.11_cu12.4.1.whl
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456 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.11_cu12.6.3.whl
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fbgemm_gpu_nightly_cuda_x86_clang_py3.12_cu11.8.0.whl
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fbgemm_gpu_nightly_cuda_x86_clang_py3.12_cu12.4.1.whl
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fbgemm_gpu_nightly_cuda_x86_clang_py3.12_cu12.6.3.whl
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fbgemm_gpu_nightly_cuda_x86_clang_py3.13_cu11.8.0.whl
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238 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.13_cu12.4.1.whl
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456 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.13_cu12.6.3.whl
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fbgemm_gpu_nightly_cuda_x86_clang_py3.9_cu11.8.0.whl
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fbgemm_gpu_nightly_cuda_x86_clang_py3.9_cu12.4.1.whl
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fbgemm_gpu_nightly_cuda_x86_clang_py3.9_cu12.6.3.whl
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.10_cu11.8.0.whl
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.10_cu12.4.1.whl
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.10_cu12.6.3.whl
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.11_cu11.8.0.whl
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.11_cu12.4.1.whl
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453 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.11_cu12.6.3.whl
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450 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.12_cu11.8.0.whl
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235 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.12_cu12.4.1.whl
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453 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.12_cu12.6.3.whl
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.13_cu11.8.0.whl
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235 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.13_cu12.4.1.whl
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453 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.13_cu12.6.3.whl
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450 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.9_cu11.8.0.whl
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235 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.9_cu12.4.1.whl
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453 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.9_cu12.6.3.whl
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450 MB |
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