Merge branch 'branch-24.08' into pca-init-for-tsne #2499
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lowenerpr.yaml
on: push
Matrix: devcontainer / build
Matrix: conda-cpp-build / build
Matrix: wheel-build-cuml / build
Matrix: conda-cpp-tests / tests
Matrix: conda-python-build / build
Matrix: wheel-tests-cuml / test
optional-job-conda-python-tests-cudf-pandas-integration
/
compute-matrix
5s
conda-notebook-tests
/
build
12m 33s
docs-build
/
build
11m 29s
Matrix: conda-python-tests-dask / tests
Matrix: conda-python-tests-singlegpu / tests
Matrix: optional-job-conda-python-tests-cudf-pandas-integration / tests
pr-builder
/
run
Annotations
4 errors
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optional-job-conda-python-tests-cudf-pandas-integration / tests (amd64, 3.9, 11.8.0, rockylinux8, v100, earliest)
The self-hosted runner: rapidsai-linux-amd64-gpu-v100-earliest-1-q926s-runner-hp9mq 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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wheel-tests-cuml / 12.2.2, 3.9, amd64, ubuntu22.04, v100
The self-hosted runner: rapidsai-linux-amd64-gpu-v100-latest-1-twhmk-runner-rdp2l 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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optional-job-conda-python-tests-cudf-pandas-integration / tests (amd64, 3.11, 12.2.2, ubuntu22.04, v100, latest)
The self-hosted runner: rapidsai-linux-amd64-gpu-v100-latest-1-twhmk-runner-b4wsn 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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wheel-tests-cuml / 11.8.0, 3.11, arm64, ubuntu20.04, a100
The self-hosted runner: rapidsai-linux-arm64-gpu-a100-latest-1-6nzdl-runner-p628s 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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