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Make sure that all TBE grad_output is contiguous and 16-byte aligned #5963

Make sure that all TBE grad_output is contiguous and 16-byte aligned

Make sure that all TBE grad_output is contiguous and 16-byte aligned #5963

Re-run triggered April 29, 2025 16:53
Status Failure
Total duration 35m 21s
Artifacts 26

fbgemm_gpu_ci_genai.yml

on: pull_request
Matrix: build_artifact
Matrix: test_and_publish_artifact
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8 errors
build_artifact (x86, linux.24xlarge, 3.11, 12.8.0, gcc)
The self-hosted runner 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.
build_artifact (x86, linux.24xlarge, 3.13, 12.8.0, gcc)
The self-hosted runner 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.
build_artifact (x86, linux.24xlarge, 3.12, 12.8.0, gcc)
The self-hosted runner 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.
build_artifact (x86, linux.24xlarge, 3.9, 12.8.0, gcc)
The self-hosted runner 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.
test_and_publish_artifact (x86, linux.g5.4xlarge.nvidia.gpu, 3.11, 12.8.0, 12.6.3, gcc)
Unable to download artifact(s): Artifact not found for name: fbgemm_gpu_nightly_genai_x86_gcc_py3.11_cu12.8.0.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
test_and_publish_artifact (x86, linux.g5.4xlarge.nvidia.gpu, 3.9, 12.8.0, 12.6.3, gcc)
Unable to download artifact(s): Artifact not found for name: fbgemm_gpu_nightly_genai_x86_gcc_py3.9_cu12.8.0.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
test_and_publish_artifact (x86, linux.g5.4xlarge.nvidia.gpu, 3.13, 12.8.0, 12.6.3, gcc)
Unable to download artifact(s): Artifact not found for name: fbgemm_gpu_nightly_genai_x86_gcc_py3.13_cu12.8.0.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
test_and_publish_artifact (x86, linux.g5.4xlarge.nvidia.gpu, 3.12, 12.8.0, 12.6.3, gcc)
Unable to download artifact(s): Artifact not found for name: fbgemm_gpu_nightly_genai_x86_gcc_py3.12_cu12.8.0.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

Artifacts

Produced during runtime
Name Size Digest
fbgemm_gpu_nightly_genai_x86_clang_py3.12_cu11.8.0.whl
5.25 MB
sha256:ba29f4fbd68d0d690d4018a4c8db59eb26eb721caab2666dc25e8c05b9376651
fbgemm_gpu_nightly_genai_x86_clang_py3.12_cu12.6.3.whl
11.9 MB
sha256:276c190c983e6dc1627d7bfd1e9c3fe666dc3a66a3d2ead251ff9dae0917bef1
fbgemm_gpu_nightly_genai_x86_clang_py3.12_cu12.8.0.whl
17.5 MB
sha256:323d09f37bd8f0a3d18bc51c0b417238eb68abb0e088b64a15a1867bc2b572e6
fbgemm_gpu_nightly_genai_x86_gcc_py3.10_cu12.8.0.whl
17.5 MB
sha256:d51815ca9a8575b70cfd7a3eef169897f70fc2a756bb88e1f2f1d918c817c001
fbgemm_gpu_nightly_genai_x86_gcc_py3.12_cu12.6.3.whl
11.8 MB
sha256:4536d9ef0a36416366ea97c9be5468f1c3cda8d907981e99179e73c85adc2ff7
fbgemm_gpu_nightly_genai_x86_gcc_py3.13_cu12.6.3.whl
11.8 MB
sha256:2f9213d3e42a777f0a78f27615547360d8a830fee8b267afe9bc60ff89a1afe0