Enable FP8 Triton dequantized block-wise kernel (#3788) #4508
facebook-github-botfbgemm_gpu_ci_genai.yml
on: push
Matrix: build_artifact
Matrix: test_and_publish_artifact
Annotations
1 error
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test_and_publish_artifact (x86, linux.g5.4xlarge.nvidia.gpu, 3.13, 11.8.0, 12.4.1, gcc)
The self-hosted runner: i-0d17edb8f0f04f7fc lost communication with the server. Verify the machine is running and has a healthy network connection. Anything in your workflow that terminates the runner process, starves it for CPU/Memory, or blocks its network access can cause this error.
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Artifacts
Produced during runtime
| Name | Size | |
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fbgemm_gpu_nightly_genai_x86_clang_py3.10_cu11.8.0.whl
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3.45 MB |
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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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7.03 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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6.92 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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6.92 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.11_cu12.6.3.whl
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6.94 MB |
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fbgemm_gpu_nightly_genai_x86_gcc_py3.11_cu12.8.0.whl
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6.9 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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6.93 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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