[backport] [CI] Upload libxgboost4j.dylib (M1) to S3 bucket (#9887)
* [CI] Set up CI for Mac M1 (#9699) * [CI] Improve CI for Mac M1 (#9748) * [CI] Build libxgboost4j.dylib with CMAKE_OSX_DEPLOYMENT_TARGET (#9749) * [CI] Upload libxgboost4j.dylib (M1) to S3 bucket (#9886)
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tests/buildkite/pipeline-mac-m1.yml
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tests/buildkite/pipeline-mac-m1.yml
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@ -0,0 +1,8 @@
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steps:
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- block: ":rocket: Run this test job"
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if: build.pull_request.id != null || build.branch =~ /^dependabot\//
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- label: ":macos: Build and Test XGBoost for MacOS M1 with Clang 11"
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command: "tests/buildkite/test-macos-m1-clang11.sh"
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key: mac-m1-appleclang11
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agents:
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queue: mac-mini-m1
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50
tests/buildkite/test-macos-m1-clang11.sh
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tests/buildkite/test-macos-m1-clang11.sh
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#!/bin/bash
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set -euo pipefail
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source tests/buildkite/conftest.sh
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# Display system info
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echo "--- Display system information"
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set -x
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system_profiler SPSoftwareDataType
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sysctl -n machdep.cpu.brand_string
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uname -m
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set +x
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# Build XGBoost4J binary
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echo "--- Build libxgboost4j.dylib"
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set -x
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mkdir build
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pushd build
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export JAVA_HOME=$(/usr/libexec/java_home)
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cmake .. -GNinja -DJVM_BINDINGS=ON -DUSE_OPENMP=OFF -DCMAKE_OSX_DEPLOYMENT_TARGET=10.15
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ninja -v
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popd
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rm -rf build
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set +x
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echo "--- Upload Python wheel"
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set -x
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pushd lib
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mv -v libxgboost4j.dylib libxgboost4j_m1_${BUILDKITE_COMMIT}.dylib
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buildkite-agent artifact upload libxgboost4j_m1_${BUILDKITE_COMMIT}.dylib
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if [[ ($is_pull_request == 0) && ($is_release_branch == 1) ]]
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then
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aws s3 cp libxgboost4j_m1_${BUILDKITE_COMMIT}.dylib \
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s3://xgboost-nightly-builds/${BRANCH_NAME}/libxgboost4j/ \
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--acl public-read --no-progress
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fi
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popd
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set +x
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# Ensure that XGBoost can be built with Clang 11
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echo "--- Build and Test XGBoost with MacOS M1, Clang 11"
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set -x
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LLVM11_PATH=$(brew --prefix llvm\@11)
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mkdir build
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pushd build
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cmake .. -GNinja -DCMAKE_C_COMPILER=${LLVM11_PATH}/bin/clang \
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-DCMAKE_CXX_COMPILER=${LLVM11_PATH}/bin/clang++ -DGOOGLE_TEST=ON \
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-DUSE_DMLC_GTEST=ON
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ninja -v
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@ -32,11 +32,10 @@ dependencies:
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- jsonschema
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- boto3
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- awscli
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- py-ubjson
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- cffi
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- pyarrow
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- pyspark>=3.4.0
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- cloudpickle
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- pip:
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- sphinx_rtd_theme
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- datatable
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- py-ubjson
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