Enable FP8 Triton dequantized block-wise kernel #4489
jiawenliu64fbgemm_gpu_ci_genai.yml
on: pull_request
Matrix: build_artifact
Matrix: test_and_publish_artifact
Annotations
4 errors
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build_artifact (x86, linux.24xlarge, 3.10, 11.8.0, clang)
Unable to create '/__w/FBGEMM/FBGEMM/.git/modules/external/cutlass/index.lock': File exists.
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build_artifact (x86, linux.24xlarge, 3.10, 11.8.0, clang)
Unable to checkout '39048351d7b81687ad0c38c8adad720c71b71bf5' in submodule path 'external/cutlass'
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build_artifact (x86, linux.24xlarge, 3.10, 11.8.0, clang)
The process '/usr/bin/git' failed with exit code 128
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test_and_publish_artifact (x86, linux.g5.4xlarge.nvidia.gpu, 3.10, 11.8.0, 12.4.1, clang)
Unable to download artifact(s): Artifact not found for name: fbgemm_gpu_nightly_genai_x86_clang_py3.10_cu11.8.0.whl
Please ensure that your artifact is not expired and the artifact was uploaded using a compatible version of toolkit/upload-artifact.
For more information, visit the GitHub Artifacts FAQ: https://github.com/actions/toolkit/blob/main/packages/artifact/docs/faq.md
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Artifacts
Produced during runtime
| Name | Size | |
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fbgemm_gpu_nightly_genai_x86_clang_py3.10_cu12.4.1.whl
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7.04 MB |
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fbgemm_gpu_nightly_genai_x86_clang_py3.10_cu12.6.3.whl
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7.05 MB |
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fbgemm_gpu_nightly_genai_x86_clang_py3.10_cu12.8.0.whl
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7 MB |
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fbgemm_gpu_nightly_genai_x86_clang_py3.11_cu11.8.0.whl
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3.45 MB |
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fbgemm_gpu_nightly_genai_x86_clang_py3.11_cu12.4.1.whl
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7.04 MB |
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fbgemm_gpu_nightly_genai_x86_clang_py3.11_cu12.6.3.whl
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7.05 MB |
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fbgemm_gpu_nightly_genai_x86_clang_py3.11_cu12.8.0.whl
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7 MB |
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fbgemm_gpu_nightly_genai_x86_clang_py3.12_cu11.8.0.whl
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3.45 MB |
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fbgemm_gpu_nightly_genai_x86_clang_py3.12_cu12.4.1.whl
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7.04 MB |
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fbgemm_gpu_nightly_genai_x86_clang_py3.12_cu12.6.3.whl
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7.05 MB |
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fbgemm_gpu_nightly_genai_x86_clang_py3.12_cu12.8.0.whl
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7 MB |
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fbgemm_gpu_nightly_genai_x86_clang_py3.13_cu11.8.0.whl
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3.45 MB |
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fbgemm_gpu_nightly_genai_x86_clang_py3.13_cu12.4.1.whl
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7.04 MB |
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fbgemm_gpu_nightly_genai_x86_clang_py3.13_cu12.6.3.whl
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7.05 MB |
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fbgemm_gpu_nightly_genai_x86_clang_py3.13_cu12.8.0.whl
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7 MB |
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fbgemm_gpu_nightly_genai_x86_clang_py3.9_cu11.8.0.whl
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3.45 MB |
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fbgemm_gpu_nightly_genai_x86_clang_py3.9_cu12.4.1.whl
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7.04 MB |
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fbgemm_gpu_nightly_genai_x86_clang_py3.9_cu12.6.3.whl
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7.05 MB |
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fbgemm_gpu_nightly_genai_x86_clang_py3.9_cu12.8.0.whl
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7 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.10_cu11.8.0.whl
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3.33 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.10_cu12.4.1.whl
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6.91 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.10_cu12.6.3.whl
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6.93 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.10_cu12.8.0.whl
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6.89 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.11_cu11.8.0.whl
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3.33 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.11_cu12.4.1.whl
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6.91 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.11_cu12.6.3.whl
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6.93 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.11_cu12.8.0.whl
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6.89 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.12_cu11.8.0.whl
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3.33 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.12_cu12.4.1.whl
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6.91 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.12_cu12.6.3.whl
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6.93 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.12_cu12.8.0.whl
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6.89 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.13_cu11.8.0.whl
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3.33 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.13_cu12.4.1.whl
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6.92 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.13_cu12.6.3.whl
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6.93 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.13_cu12.8.0.whl
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6.89 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.9_cu11.8.0.whl
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3.33 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.9_cu12.4.1.whl
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6.92 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.9_cu12.6.3.whl
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6.93 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.9_cu12.8.0.whl
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6.89 MB |
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