Merge branch 'dmlc:release_3.1.0' into release_3.1.0 #306
razdoburdinjvm_tests.yml
on: push
Build libxgboost4j.so with CUDA
0s
Matrix: build-test-jvm-packages
Matrix: build-jvm-mac
Matrix: build-jvm-manylinux2014
Matrix: build-test-jvm-packages-other-os
Matrix: test-jvm-packages-gpu
Matrix: deploy-jvm-packages
Annotations
8 errors and 5 warnings
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Build libxgboost4j.dylib for MacOS (Apple Silicon)
Process completed with exit code 1.
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Build libxgboost4j.dylib for MacOS (Intel)
Process completed with exit code 1.
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Build and test JVM packages (windows-latest)
Process completed with exit code 1.
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Build libxgboost4j.so targeting glibc 2.17 (arch x86_64, runner linux-amd64-cpu)
The job has exceeded the maximum execution time while awaiting a runner for 24h0m0s
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Build libxgboost4j.so targeting glibc 2.17 (arch aarch64, runner linux-arm64-cpu)
The job has exceeded the maximum execution time while awaiting a runner for 24h0m0s
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Build and test JVM packages (Linux, Scala 2.13)
The job has exceeded the maximum execution time while awaiting a runner for 24h0m0s
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Build and test JVM packages (Linux, Scala 2.12)
The job has exceeded the maximum execution time while awaiting a runner for 24h0m0s
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Build libxgboost4j.so with CUDA
The job has exceeded the maximum execution time while awaiting a runner for 24h0m0s
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Build libxgboost4j.dylib for MacOS (Apple Silicon)
ninja 1.13.2 is already installed and up-to-date.
To reinstall 1.13.2, run:
brew reinstall ninja
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Build libxgboost4j.dylib for MacOS (Intel)
ninja 1.13.2 is already installed and up-to-date.
To reinstall 1.13.2, run:
brew reinstall ninja
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Build and test JVM packages (macos-15-intel)
The 'defaults' channel might have been added implicitly. If this is intentional, add 'defaults' to the 'channels' list. Otherwise, consider setting 'conda-remove-defaults' to 'true'.
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Build and test JVM packages (windows-latest)
EnvironmentNameNotFound: Could not find conda environment: minimal
You can list all discoverable environments with `conda info --envs`.
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Build and test JVM packages (windows-latest)
The 'defaults' channel might have been added implicitly. If this is intentional, add 'defaults' to the 'channels' list. Otherwise, consider setting 'conda-remove-defaults' to 'true'.
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