f6e6d0b2c0
* Build Python wheels for OSX (x86_64 and arm64) * Use Conda's libomp when running Python tests * fix * Add comment to explain CIBW_TARGET_OSX_ARM64 * Update release script * Add comments in build_python_wheels.sh * Document wheel pipeline
39 lines
1.6 KiB
Bash
39 lines
1.6 KiB
Bash
#!/bin/bash
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set -e
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set -x
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# Bundle libomp 11.1.0 when targeting MacOS.
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# This is a workaround in order to prevent segfaults when running inside a Conda environment.
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# See https://github.com/dmlc/xgboost/issues/7039#issuecomment-1025125003 for more context.
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# The workaround is also used by the scikit-learn project.
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if [[ "$RUNNER_OS" == "macOS" ]]; then
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# Make sure to use a libomp version binary compatible with the oldest
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# supported version of the macos SDK as libomp will be vendored into the
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# XGBoost wheels for MacOS.
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if [[ "$CIBW_BUILD" == *-macosx_arm64 ]]; then
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# arm64 builds must cross compile because CI is on x64
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# cibuildwheel will take care of cross-compilation.
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export PYTHON_CROSSENV=1
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export MACOSX_DEPLOYMENT_TARGET=12.0
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OPENMP_URL="https://anaconda.org/conda-forge/llvm-openmp/11.1.0/download/osx-arm64/llvm-openmp-11.1.0-hf3c4609_1.tar.bz2"
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else
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export MACOSX_DEPLOYMENT_TARGET=10.13
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OPENMP_URL="https://anaconda.org/conda-forge/llvm-openmp/11.1.0/download/osx-64/llvm-openmp-11.1.0-hda6cdc1_1.tar.bz2"
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fi
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sudo conda create -n build $OPENMP_URL
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PREFIX="/usr/local/miniconda/envs/build"
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export CC=/usr/bin/clang
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export CXX=/usr/bin/clang++
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export CPPFLAGS="$CPPFLAGS -Xpreprocessor -fopenmp"
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export CFLAGS="$CFLAGS -I$PREFIX/include"
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export CXXFLAGS="$CXXFLAGS -I$PREFIX/include"
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export LDFLAGS="$LDFLAGS -Wl,-rpath,$PREFIX/lib -L$PREFIX/lib -lomp"
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fi
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python -m pip install cibuildwheel
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python -m cibuildwheel python-package --output-dir wheelhouse
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