Add stacked version of grouped gemm to quantize bench #8691
Triggered via pull request
March 13, 2025 22:57
jwfromm
Status
Failure
Total duration
1h 25m 12s
Artifacts
40
fbgemm_gpu_ci_cuda.yml
on: pull_request
Matrix: build_artifact
Matrix: test_and_publish_artifact
Annotations
5 errors
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test_and_publish_artifact (x86, linux.g5.4xlarge.nvidia.gpu, 3.11, 12.6.3, 12.4.1, clang)
Process completed with exit code 1.
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test_and_publish_artifact (x86, linux.g5.4xlarge.nvidia.gpu, 3.12, 12.4.1, 12.4.1, gcc)
Process completed with exit code 1.
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test_and_publish_artifact (x86, linux.g5.4xlarge.nvidia.gpu, 3.11, 12.4.1, 12.4.1, gcc)
Process completed with exit code 1.
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test_and_publish_artifact (x86, linux.g5.4xlarge.nvidia.gpu, 3.10, 12.6.3, 12.4.1, gcc)
Process completed with exit code 1.
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test_and_publish_artifact (x86, linux.g5.4xlarge.nvidia.gpu, 3.10, 12.4.1, 12.4.1, gcc)
Process completed with exit code 1.
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Artifacts
Produced during runtime
| Name | Size | |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.10_cu11.8.0.whl
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257 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.10_cu12.4.1.whl
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496 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.10_cu12.6.3.whl
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493 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.10_cu12.8.0.whl
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496 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.11_cu11.8.0.whl
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257 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.11_cu12.4.1.whl
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497 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.11_cu12.6.3.whl
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493 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.11_cu12.8.0.whl
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496 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.12_cu11.8.0.whl
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257 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.12_cu12.4.1.whl
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496 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.12_cu12.6.3.whl
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493 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.12_cu12.8.0.whl
|
496 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.13_cu11.8.0.whl
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257 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.13_cu12.4.1.whl
|
496 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.13_cu12.6.3.whl
|
493 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.13_cu12.8.0.whl
|
496 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.9_cu11.8.0.whl
|
257 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.9_cu12.4.1.whl
|
496 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.9_cu12.6.3.whl
|
493 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.9_cu12.8.0.whl
|
496 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.10_cu11.8.0.whl
|
254 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.10_cu12.4.1.whl
|
494 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.10_cu12.6.3.whl
|
490 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.10_cu12.8.0.whl
|
493 MB |
|
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.11_cu11.8.0.whl
|
254 MB |
|
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.11_cu12.4.1.whl
|
494 MB |
|
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.11_cu12.6.3.whl
|
491 MB |
|
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.11_cu12.8.0.whl
|
493 MB |
|
|
fbgemm_gpu_nightly_cuda_x86_gcc_py3.12_cu11.8.0.whl
|
254 MB |
|
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.12_cu12.4.1.whl
|
494 MB |
|
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.12_cu12.6.3.whl
|
490 MB |
|
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.12_cu12.8.0.whl
|
493 MB |
|
|
fbgemm_gpu_nightly_cuda_x86_gcc_py3.13_cu11.8.0.whl
|
254 MB |
|
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.13_cu12.4.1.whl
|
494 MB |
|
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.13_cu12.6.3.whl
|
490 MB |
|
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.13_cu12.8.0.whl
|
493 MB |
|
|
fbgemm_gpu_nightly_cuda_x86_gcc_py3.9_cu11.8.0.whl
|
254 MB |
|
|
fbgemm_gpu_nightly_cuda_x86_gcc_py3.9_cu12.4.1.whl
|
494 MB |
|
|
fbgemm_gpu_nightly_cuda_x86_gcc_py3.9_cu12.6.3.whl
|
491 MB |
|
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.9_cu12.8.0.whl
|
493 MB |
|