add multi-gpu dependencies to pip devcontainer #4888
pr.yaml
on: push
Matrix: devcontainer / build
wheel-build-cugraph-equivariant
/
compute-matrix
7s
Matrix: wheel-build-cugraph-equivariant / build
Matrix: conda-cpp-build / build
Matrix: wheel-build-pylibcugraph / build
wheel-tests-cugraph-equivariant
/
compute-matrix
3s
Matrix: wheel-tests-cugraph-equivariant / test
Matrix: conda-cpp-tests / tests
Matrix: conda-python-build / build
Matrix: wheel-tests-pylibcugraph / test
conda-notebook-tests
/
build
19m 53s
docs-build
/
build
14m 18s
Matrix: conda-python-tests / tests
Matrix: wheel-build-cugraph / build
Matrix: wheel-build-nx-cugraph / build
Matrix: wheel-tests-cugraph / test
Matrix: wheel-tests-nx-cugraph / test
Matrix: wheel-build-cugraph-dgl / build
Waiting for pending jobs
Matrix: wheel-build-cugraph-pyg / build
Waiting for pending jobs
Matrix: wheel-tests-cugraph-dgl / test
Waiting for pending jobs
Matrix: wheel-tests-cugraph-pyg / test
Waiting for pending jobs
pr-builder
/
run
Annotations
8 errors
devcontainer / build (amd64, 12.2, conda)
Dev container exec failed: (exit code: 1)
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devcontainer / build (amd64, 12.2, conda)
Dev container exec failed: (exit code: 1)
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devcontainer / build (amd64, 12.2, pip)
Dev container exec failed: (exit code: 1)
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devcontainer / build (amd64, 12.2, pip)
Dev container exec failed: (exit code: 1)
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conda-python-tests / tests (amd64, 3.11, 12.2.2, ubuntu22.04, v100, latest)
The self-hosted runner: rapidsai-linux-amd64-gpu-v100-latest-1-qtcf7-runner-8nvvq 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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conda-python-tests / tests (amd64, 3.9, 11.8.0, rockylinux8, v100, earliest)
Process completed with exit code 1.
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conda-python-tests / tests (arm64, 3.10, 12.0.1, ubuntu20.04, a100, latest)
Process completed with exit code 1.
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wheel-tests-cugraph / 12.2.2, 3.9, amd64, ubuntu22.04, v100
Process completed with exit code 1.
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