Fix cross compilation on linux #81
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| name: Python package | |
| on: | |
| push: {} | |
| pull_request: | |
| branches: [ main ] | |
| paths: | |
| - '.github/workflows/python-package.yml' | |
| - 'bitsandbytes/**' | |
| - 'csrc/**' | |
| - 'include/**' | |
| - 'tests/**' | |
| - 'CMakeLists.txt' | |
| - 'requirements*.txt' | |
| - 'setup.py' | |
| - 'pyproject.toml' | |
| - 'pytest.ini' | |
| - '**/*.md' | |
| release: | |
| types: [ published ] | |
| jobs: | |
| ## | |
| # This job matrix builds the non-CUDA versions of the libraries for all supported platforms. | |
| ## | |
| build-shared-libs: | |
| strategy: | |
| matrix: | |
| os: [ubuntu-latest, macos-latest, windows-latest] | |
| arch: [x86_64, aarch64] | |
| exclude: | |
| - os: windows-latest # This probably requires arm64 Windows agents | |
| arch: aarch64 | |
| runs-on: ${{ matrix.os }} # One day, we could run them on native agents. Azure supports this now but it's planned only for Q3 2023 for hosted agents | |
| steps: | |
| # Check out code | |
| - uses: actions/checkout@v4 | |
| # On Linux we use CMake within Docker | |
| - name: Setup cmake | |
| uses: jwlawson/[email protected] | |
| with: | |
| cmake-version: '3.26.x' | |
| - name: Add msbuild to PATH | |
| uses: microsoft/[email protected] | |
| if: ${{ startsWith(matrix.os, 'windows') }} | |
| # Check out dependencies code | |
| - uses: actions/checkout@v4 | |
| name: Check out NVidia cub | |
| with: | |
| repository: nvidia/cub | |
| ref: 1.11.0 | |
| path: dependencies/cub | |
| # Compile C++ code | |
| - name: Build C++ | |
| shell: bash | |
| run: | | |
| set -ex | |
| build_os=${{ matrix.os }} | |
| build_arch=${{ matrix.arch }} | |
| if [ ${build_os:0:6} == ubuntu -a ${build_arch} == aarch64 ]; then | |
| # Allow cross-compile om aarch64 | |
| sudo apt-get install -y gcc-aarch64-linux-gnu binutils-aarch64-linux-gnu g++-aarch64-linux-gnu | |
| cmake -DCMAKE_C_COMPILER=aarch64-linux-gnu-gcc -DCMAKE_CXX_COMPILER=aarch64-linux-gnu-g++ -DCOMPUTE_BACKEND=cpu . | |
| elif [ ${build_os:0:5} == macos -a ${build_arch} == aarch64 ]; then | |
| cmake -DCMAKE_OSX_ARCHITECTURES=arm64 -DCOMPUTE_BACKEND=cpu . | |
| else | |
| cmake -DCOMPUTE_BACKEND=cpu . | |
| fi | |
| if [ ${build_os:0:7} == windows ]; then | |
| pwsh -Command "msbuild bitsandbytes.vcxproj /property:Configuration=Release" | |
| else | |
| make | |
| fi | |
| mkdir -p output/${{ matrix.os }}/${{ matrix.arch }} | |
| ( shopt -s nullglob && cp bitsandbytes/*.{so,dylib,dll} output/${{ matrix.os }}/${{ matrix.arch }}/ ) | |
| - name: Upload build artifact | |
| uses: actions/upload-artifact@v4 | |
| with: | |
| name: shared_library_${{ matrix.os }}_${{ matrix.arch }} | |
| path: output/* | |
| retention-days: 7 | |
| ## | |
| # This job matrix builds the CUDA versions of the libraries for platforms that support CUDA (Linux x64/aarch64 + Windows x64) | |
| ## | |
| build-shared-libs-cuda: | |
| strategy: | |
| matrix: | |
| os: [ubuntu-latest, windows-latest] | |
| arch: [x86_64, aarch64] | |
| cuda_version: ['12.1.0'] | |
| exclude: | |
| - os: windows-latest # This probably requires arm64 Windows agents | |
| arch: aarch64 | |
| runs-on: ${{ matrix.os }} # One day, we could run them on native agents. Azure supports this now but it's planned only for Q3 2023 for hosted agents | |
| steps: | |
| # Check out code | |
| - uses: actions/checkout@v4 | |
| # Linux: We use Docker to build cross platform Cuda (aarch64 is built in emulation) | |
| - name: Set up Docker multiarch | |
| if: startsWith(matrix.os, 'ubuntu') | |
| uses: docker/setup-qemu-action@v2 | |
| # On Linux we use CMake within Docker | |
| - name: Setup cmake | |
| if: ${{ !startsWith(matrix.os, 'linux') }} | |
| uses: jwlawson/[email protected] | |
| with: | |
| cmake-version: '3.26.x' | |
| # Windows: We install Cuda on the agent (slow) | |
| - uses: Jimver/[email protected] | |
| if: startsWith(matrix.os, 'windows') | |
| id: cuda-toolkit | |
| with: | |
| cuda: ${{ matrix.cuda_version }} | |
| method: 'local' | |
| # sub-packages: '["nvcc","cudart","nvrtc_dev","cublas_dev","cusparse_dev","visual_studio_integration"]' | |
| - name: Add msbuild to PATH | |
| uses: microsoft/[email protected] | |
| if: ${{ startsWith(matrix.os, 'windows') }} | |
| # Check out dependencies code | |
| - uses: actions/checkout@v4 | |
| name: Check out NVidia cub | |
| with: | |
| repository: nvidia/cub | |
| ref: 1.11.0 | |
| path: dependencies/cub | |
| # Compile C++ code | |
| - name: Build C++ | |
| shell: bash | |
| run: | | |
| set -ex | |
| build_os=${{ matrix.os }} | |
| build_arch=${{ matrix.arch }} | |
| for NO_CUBLASLT in ON OFF; do | |
| if [ ${build_os:0:6} == ubuntu ]; then | |
| image=nvidia/cuda:${{ matrix.cuda_version }}-devel-ubuntu22.04 | |
| echo "Using image $image" | |
| docker run --platform linux/$build_arch -i -w /src -v $PWD:/src $image sh -c \ | |
| "apt-get update \ | |
| && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends cmake \ | |
| && cmake -DCOMPUTE_BACKEND=cuda -DNO_CUBLASLT=${NO_CUBLASLT} . \ | |
| && make" | |
| else | |
| cmake -DCOMPUTE_BACKEND=cuda -DNO_CUBLASLT=${NO_CUBLASLT} . | |
| pwsh -Command "msbuild bitsandbytes.vcxproj /property:Configuration=Release" | |
| fi | |
| done | |
| mkdir -p output/${{ matrix.os }}/${{ matrix.arch }} | |
| ( shopt -s nullglob && cp bitsandbytes/*.{so,dylib,dll} output/${{ matrix.os }}/${{ matrix.arch }}/ ) | |
| - name: Upload build artifact | |
| uses: actions/upload-artifact@v4 | |
| with: | |
| name: shared_library_cuda_${{ matrix.os }}_${{ matrix.arch }}_${{ matrix.cuda_version }} | |
| path: output/* | |
| retention-days: 7 | |
| build-wheels: | |
| needs: | |
| - build-shared-libs | |
| - build-shared-libs-cuda | |
| strategy: | |
| matrix: | |
| os: [ubuntu-latest, macos-latest, windows-latest] | |
| python-version: ["3.9", "3.10", "3.11", "3.12"] | |
| arch: [x86_64, aarch64] | |
| exclude: | |
| - os: windows-latest # This probably requires arm64 Windows agents | |
| arch: aarch64 | |
| runs-on: ${{ matrix.os }} | |
| steps: | |
| # Check out code | |
| - uses: actions/checkout@v4 | |
| # Download shared libraries | |
| - name: Download build artifact | |
| uses: actions/download-artifact@v4 | |
| with: | |
| merge-multiple: true | |
| pattern: "shared_library*_${{ matrix.os }}_${{ matrix.arch }}*" | |
| path: output/ | |
| - name: Copy correct platform shared library | |
| shell: bash | |
| run: | | |
| ls -lR output/ | |
| cp output/${{ matrix.os }}/${{ matrix.arch }}/* bitsandbytes/ | |
| # Set up the Python version needed | |
| - name: Set up Python ${{ matrix.python-version }} | |
| uses: actions/setup-python@v5 | |
| with: | |
| python-version: ${{ matrix.python-version }} | |
| cache: pip | |
| - name: Install build package | |
| shell: bash | |
| run: pip install build | |
| - name: Install Python test dependencies | |
| shell: bash | |
| run: pip install -r requirements-ci.txt | |
| # TODO: How to run CUDA tests on GitHub actions? | |
| #- name: Run unit tests | |
| # if: ${{ matrix.arch == 'x86_64' }} # Tests are too slow to run in emulation. Wait for real aarch64 agents | |
| # run: | | |
| # PYTHONPATH=. pytest --log-cli-level=DEBUG tests | |
| - name: Build wheel | |
| shell: bash | |
| run: python -m build . | |
| - name: Upload build artifact | |
| uses: actions/upload-artifact@v4 | |
| with: | |
| name: bdist_wheel_${{ matrix.os }}_${{ matrix.arch }}_${{ matrix.python-version }} | |
| path: dist/bitsandbytes-*.whl | |
| retention-days: 7 | |
| publish: | |
| needs: build-wheels | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Download build artifact | |
| uses: actions/download-artifact@v4 | |
| with: | |
| path: dist/ | |
| merge-multiple: true | |
| pattern: "bdist_wheel_*" | |
| - run: | | |
| ls -lR dist/ | |
| - name: Publish to PyPi | |
| if: startsWith(github.ref, 'refs/tags') | |
| uses: pypa/gh-action-pypi-publish@release/v1 | |
| with: | |
| password: ${{ secrets.pypi }} |