Add support for int32_t indices in TBE training (2G/N)
#7295
Triggered via pull request
January 9, 2025 22:21
q10
Status
Failure
Total duration
1h 18m 54s
Artifacts
30
fbgemm_gpu_ci_cuda.yml
on: pull_request
Matrix: build_artifact
Matrix: test_and_publish_artifact
Annotations
2 errors and 1 warning
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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, 11.8.0, 12.4.1, clang)
Process completed with exit code 1.
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Deprecation notice: v1, v2, and v3 of the artifact actions
The following artifacts were uploaded using a version of actions/upload-artifact that is scheduled for deprecation: "fbgemm_gpu_nightly_cuda_x86_clang_py3.10_cu11.8.0.whl", "fbgemm_gpu_nightly_cuda_x86_clang_py3.10_cu12.4.1.whl", "fbgemm_gpu_nightly_cuda_x86_clang_py3.10_cu12.6.3.whl", "fbgemm_gpu_nightly_cuda_x86_clang_py3.11_cu11.8.0.whl", "fbgemm_gpu_nightly_cuda_x86_clang_py3.11_cu12.4.1.whl", "fbgemm_gpu_nightly_cuda_x86_clang_py3.11_cu12.6.3.whl", "fbgemm_gpu_nightly_cuda_x86_clang_py3.12_cu11.8.0.whl", "fbgemm_gpu_nightly_cuda_x86_clang_py3.12_cu12.4.1.whl", "fbgemm_gpu_nightly_cuda_x86_clang_py3.12_cu12.6.3.whl", "fbgemm_gpu_nightly_cuda_x86_clang_py3.13_cu11.8.0.whl", "fbgemm_gpu_nightly_cuda_x86_clang_py3.13_cu12.4.1.whl", "fbgemm_gpu_nightly_cuda_x86_clang_py3.13_cu12.6.3.whl", "fbgemm_gpu_nightly_cuda_x86_clang_py3.9_cu11.8.0.whl", "fbgemm_gpu_nightly_cuda_x86_clang_py3.9_cu12.4.1.whl", "fbgemm_gpu_nightly_cuda_x86_clang_py3.9_cu12.6.3.whl", "fbgemm_gpu_nightly_cuda_x86_gcc_py3.10_cu11.8.0.whl", "fbgemm_gpu_nightly_cuda_x86_gcc_py3.10_cu12.4.1.whl", "fbgemm_gpu_nightly_cuda_x86_gcc_py3.10_cu12.6.3.whl", "fbgemm_gpu_nightly_cuda_x86_gcc_py3.11_cu11.8.0.whl", "fbgemm_gpu_nightly_cuda_x86_gcc_py3.11_cu12.4.1.whl", "fbgemm_gpu_nightly_cuda_x86_gcc_py3.11_cu12.6.3.whl", "fbgemm_gpu_nightly_cuda_x86_gcc_py3.12_cu11.8.0.whl", "fbgemm_gpu_nightly_cuda_x86_gcc_py3.12_cu12.4.1.whl", "fbgemm_gpu_nightly_cuda_x86_gcc_py3.12_cu12.6.3.whl", "fbgemm_gpu_nightly_cuda_x86_gcc_py3.13_cu11.8.0.whl", "fbgemm_gpu_nightly_cuda_x86_gcc_py3.13_cu12.4.1.whl", "fbgemm_gpu_nightly_cuda_x86_gcc_py3.13_cu12.6.3.whl", "fbgemm_gpu_nightly_cuda_x86_gcc_py3.9_cu11.8.0.whl", "fbgemm_gpu_nightly_cuda_x86_gcc_py3.9_cu12.4.1.whl", "fbgemm_gpu_nightly_cuda_x86_gcc_py3.9_cu12.6.3.whl".
Please update your workflow to use v4 of the artifact actions.
Learn more: https://github.blog/changelog/2024-04-16-deprecation-notice-v3-of-the-artifact-actions/
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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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221 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.10_cu12.4.1.whl
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433 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.10_cu12.6.3.whl
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429 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.11_cu11.8.0.whl
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221 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.11_cu12.4.1.whl
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433 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.11_cu12.6.3.whl
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429 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.12_cu11.8.0.whl
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221 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.12_cu12.4.1.whl
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433 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.12_cu12.6.3.whl
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429 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.13_cu11.8.0.whl
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221 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.13_cu12.4.1.whl
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433 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.13_cu12.6.3.whl
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429 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.9_cu11.8.0.whl
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221 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.9_cu12.4.1.whl
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433 MB |
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fbgemm_gpu_nightly_cuda_x86_clang_py3.9_cu12.6.3.whl
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429 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.10_cu11.8.0.whl
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228 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.10_cu12.4.1.whl
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440 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.10_cu12.6.3.whl
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437 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.11_cu11.8.0.whl
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228 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.11_cu12.4.1.whl
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440 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.11_cu12.6.3.whl
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437 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.12_cu11.8.0.whl
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228 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.12_cu12.4.1.whl
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440 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.12_cu12.6.3.whl
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437 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.13_cu11.8.0.whl
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228 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.13_cu12.4.1.whl
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440 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.13_cu12.6.3.whl
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437 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.9_cu11.8.0.whl
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228 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.9_cu12.4.1.whl
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440 MB |
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fbgemm_gpu_nightly_cuda_x86_gcc_py3.9_cu12.6.3.whl
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437 MB |
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