Skip to content

Move batched_complete_cumsum op to FBGEMM (#4036) #5960

Move batched_complete_cumsum op to FBGEMM (#4036)

Move batched_complete_cumsum op to FBGEMM (#4036) #5960

Triggered via push April 29, 2025 02:29
Status Failure
Total duration 57m 25s
Artifacts 24
Matrix: build_artifact
Matrix: test_and_publish_artifact
Fit to window
Zoom out
Zoom in

Annotations

12 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, 3.10, 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.
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, 3.13, 12.8.0, clang)
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, 3.10, 12.8.0, 12.6.3, gcc)
Unable to download artifact(s): Artifact not found for name: fbgemm_gpu_nightly_genai_x86_gcc_py3.10_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, 3.13, 12.8.0, 12.6.3, clang)
Unable to download artifact(s): Artifact not found for name: fbgemm_gpu_nightly_genai_x86_clang_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_py3.10_cu11.8.0.whl
5.25 MB
sha256:0dab36dbc371e24f3f694f18c27cacbd2e678840a913a42e463808407721fd25
fbgemm_gpu_nightly_genai_x86_clang_py3.10_cu12.6.3.whl
11.9 MB
sha256:fdb0341668cd420c702ebe836575c512ae1d5e26d62746df3fd80c6780ed1518
fbgemm_gpu_nightly_genai_x86_clang_py3.10_cu12.8.0.whl
17.5 MB
sha256:572ec7f3dd1ea96a402864d67bb00aa6731f34f8ff1bd8e30e9fc1e84af9adeb
fbgemm_gpu_nightly_genai_x86_clang_py3.11_cu11.8.0.whl
5.25 MB
sha256:98a68ed40e363fc3ebcbbedeedb7d0fcea9124ef11f1be247cea6d071c0e37ec
fbgemm_gpu_nightly_genai_x86_clang_py3.11_cu12.6.3.whl
11.9 MB
sha256:33c0a93f008123749d5ce3189e849446c1632e13061f0b1dde491eb124d332bb
fbgemm_gpu_nightly_genai_x86_clang_py3.11_cu12.8.0.whl
17.5 MB
sha256:69aff6b25d010125d6f8af7f814fa320aa17c66f42d7ca34f294504180e3ebe8
fbgemm_gpu_nightly_genai_x86_clang_py3.12_cu11.8.0.whl
5.25 MB
sha256:87055530a67a55df485d46c1632499990baa5a01886a9a3c0fc15d2e949353fa
fbgemm_gpu_nightly_genai_x86_clang_py3.12_cu12.6.3.whl
11.9 MB
sha256:7a0c818b52ab8bae914cb6e0603d443a0807e26833b0b45ceb045a57c3824e62
fbgemm_gpu_nightly_genai_x86_clang_py3.12_cu12.8.0.whl
17.5 MB
sha256:8ed1e585e19b7905f607adb8d0c82623b69380efec092c510ca9629336647a06
fbgemm_gpu_nightly_genai_x86_clang_py3.13_cu11.8.0.whl
5.25 MB
sha256:85ac9db466fadc53742d190958e899e0d40b9297b325e3c56567d792f2aa14c6
fbgemm_gpu_nightly_genai_x86_clang_py3.13_cu12.6.3.whl
11.9 MB
sha256:6efcd392b111137ad94f321c68d6943431b18efeee5ea1edf6c134e231b8021a
fbgemm_gpu_nightly_genai_x86_clang_py3.9_cu11.8.0.whl
5.25 MB
sha256:2f1440c69279ce16fbdb564f104c209c48e3a97631455fb94ab48c23f882fa27
fbgemm_gpu_nightly_genai_x86_clang_py3.9_cu12.6.3.whl
11.9 MB
sha256:e1fbc67c770fc53810ef40e2188a91627dd84bdff358cfc5089b337b3bdf4e3a
fbgemm_gpu_nightly_genai_x86_clang_py3.9_cu12.8.0.whl
17.5 MB
sha256:3aced05a7ecc0fcab01d91404c6ee9e281afabf76f61a9317a87920490fadb01
fbgemm_gpu_nightly_genai_x86_gcc_py3.10_cu11.8.0.whl
5.15 MB
sha256:7399880efa65bdae6082c1637a3164d08bc03fada02858cb23692c8c27af9a9f
fbgemm_gpu_nightly_genai_x86_gcc_py3.10_cu12.6.3.whl
11.8 MB
sha256:8f6d2e375b7020f210a0f4d0556c6533031aea2309a6a7406b7491d98fca7547
fbgemm_gpu_nightly_genai_x86_gcc_py3.11_cu11.8.0.whl
5.15 MB
sha256:e4470409cfe8ff38784c92dc248dc7caf08c57e7c5a26297b9f89bdc896230ae
fbgemm_gpu_nightly_genai_x86_gcc_py3.11_cu12.6.3.whl
11.8 MB
sha256:82b6e812fe07296b6c9b4e3273f8608422edc3269f885297abb279732c850839
fbgemm_gpu_nightly_genai_x86_gcc_py3.12_cu11.8.0.whl
5.15 MB
sha256:cd5b52cb5def73f114a5e1b782620fb067e6d9d7c781d3aaeab24db8261a97de
fbgemm_gpu_nightly_genai_x86_gcc_py3.12_cu12.6.3.whl
11.8 MB
sha256:af919d2563c6e6a7289facb9c7e22ffb58c87b4bb1d277ec9224b8b569a5eef6
fbgemm_gpu_nightly_genai_x86_gcc_py3.13_cu11.8.0.whl
5.15 MB
sha256:e65c384c5beab492d528c4f25552ea01701774ac65572cdc10470212968adf17
fbgemm_gpu_nightly_genai_x86_gcc_py3.13_cu12.6.3.whl
11.8 MB
sha256:edec53b6365f31fcbcf4d3d3625f21f57110c0ac5f5a44ea6eaf615a1cb0bcc9
fbgemm_gpu_nightly_genai_x86_gcc_py3.9_cu11.8.0.whl
5.15 MB
sha256:02e1f2280a024ca0ff26cd4d40b635f86d97b8de88aa3ad0e403236d0440a979
fbgemm_gpu_nightly_genai_x86_gcc_py3.9_cu12.6.3.whl
11.8 MB
sha256:83406ae490356602244a7389b675b2ef41fc095f059b92457b96ce571e4927c6