Build wheels and deploy #10
Workflow file for this run
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # This workflow will: | |
| # - Create a new Github release | |
| # - Build wheels for supported architectures | |
| # - Deploy the wheels to the Github release | |
| # - Release the static code to PyPi | |
| # For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries | |
| name: Build wheels and deploy | |
| on: | |
| create: | |
| tags: | |
| - v* | |
| jobs: | |
| setup_release: | |
| name: Create Release | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: Get the tag version | |
| id: extract_branch | |
| run: echo ::set-output name=branch::${GITHUB_REF#refs/tags/} | |
| shell: bash | |
| - name: Create Release | |
| id: create_release | |
| uses: actions/create-release@v1 | |
| env: | |
| GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} | |
| with: | |
| tag_name: ${{ steps.extract_branch.outputs.branch }} | |
| release_name: ${{ steps.extract_branch.outputs.branch }} | |
| build_wheels: | |
| name: Build Wheel | |
| needs: setup_release | |
| runs-on: ${{ matrix.os }} | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| # Using ubuntu-20.04 instead of 22.04 for more compatibility (glibc). Ideally we'd use the | |
| # manylinux docker image, but I haven't figured out how to install CUDA on manylinux. | |
| os: [ubuntu-20.04] | |
| python-version: ['3.7', '3.8', '3.9', '3.10', '3.11'] | |
| torch-version: ['1.12.1', '1.13.1', '2.0.1', '2.1.2', '2.2.0'] | |
| cuda-version: ['11.8.0', '12.2.2'] | |
| # We need separate wheels that either uses C++11 ABI (-D_GLIBCXX_USE_CXX11_ABI) or not. | |
| # Pytorch wheels currently don't use it, but nvcr images have Pytorch compiled with C++11 ABI. | |
| # Without this we get import error (undefined symbol: _ZN3c105ErrorC2ENS_14SourceLocationESs) | |
| # when building without C++11 ABI and using it on nvcr images. | |
| cxx11_abi: ['FALSE', 'TRUE'] | |
| exclude: | |
| # Pytorch <= 1.12 does not support Python 3.11 | |
| - torch-version: '1.12.1' | |
| python-version: '3.11' | |
| # Pytorch >= 2.0 only supports Python >= 3.8 | |
| - torch-version: '2.0.1' | |
| python-version: '3.7' | |
| - torch-version: '2.1.2' | |
| python-version: '3.7' | |
| - torch-version: '2.2.0' | |
| python-version: '3.7' | |
| # Pytorch <= 2.0 only supports CUDA <= 11.8 | |
| - torch-version: '1.12.1' | |
| cuda-version: '12.2.2' | |
| - torch-version: '1.13.1' | |
| cuda-version: '12.2.2' | |
| - torch-version: '2.0.1' | |
| cuda-version: '12.2.2' | |
| steps: | |
| - name: Checkout | |
| uses: actions/checkout@v3 | |
| - name: Set up Python | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: ${{ matrix.python-version }} | |
| - name: Set CUDA and PyTorch versions | |
| run: | | |
| echo "MATRIX_CUDA_VERSION=$(echo ${{ matrix.cuda-version }} | awk -F \. {'print $1 $2'})" >> $GITHUB_ENV | |
| echo "MATRIX_TORCH_VERSION=$(echo ${{ matrix.torch-version }} | awk -F \. {'print $1 "." $2'})" >> $GITHUB_ENV | |
| - name: Free up disk space | |
| if: ${{ runner.os == 'Linux' }} | |
| # https://github.com/easimon/maximize-build-space/blob/master/action.yml | |
| # https://github.com/easimon/maximize-build-space/tree/test-report | |
| run: | | |
| sudo rm -rf /usr/share/dotnet | |
| sudo rm -rf /opt/ghc | |
| sudo rm -rf /opt/hostedtoolcache/CodeQL | |
| - name: Set up swap space | |
| if: runner.os == 'Linux' | |
| uses: pierotofy/[email protected] | |
| with: | |
| swap-size-gb: 10 | |
| - name: Install CUDA ${{ matrix.cuda-version }} | |
| if: ${{ matrix.cuda-version != 'cpu' }} | |
| uses: Jimver/[email protected] | |
| id: cuda-toolkit | |
| with: | |
| cuda: ${{ matrix.cuda-version }} | |
| linux-local-args: '["--toolkit"]' | |
| # default method is "local", and we're hitting some error with caching for CUDA 11.8 and 12.1 | |
| # method: ${{ (matrix.cuda-version == '11.8.0' || matrix.cuda-version == '12.1.0') && 'network' || 'local' }} | |
| method: 'network' | |
| # We need the cuda libraries (e.g. cuSparse, cuSolver) for compiling PyTorch extensions, | |
| # not just nvcc | |
| # sub-packages: '["nvcc"]' | |
| - name: Install PyTorch ${{ matrix.torch-version }}+cu${{ matrix.cuda-version }} | |
| run: | | |
| pip install --upgrade pip | |
| # If we don't install before installing Pytorch, we get error for torch 2.0.1 | |
| # ERROR: Could not find a version that satisfies the requirement setuptools>=40.8.0 (from versions: none) | |
| pip install lit | |
| # We want to figure out the CUDA version to download pytorch | |
| # e.g. we can have system CUDA version being 11.7 but if torch==1.12 then we need to download the wheel from cu116 | |
| # This code is ugly, maybe there's a better way to do this. | |
| export TORCH_CUDA_VERSION=$(python -c "import os; minv = {'1.12': 113, '1.13': 116, '2.0': 117, '2.1': 118, '2.2': 118}[os.environ['MATRIX_TORCH_VERSION']]; maxv = {'1.12': 116, '1.13': 117, '2.0': 118, '2.1': 121, '2.2': 121}[os.environ['MATRIX_TORCH_VERSION']]; print(max(min(int(os.environ['MATRIX_CUDA_VERSION']), maxv), minv))") | |
| if [[ ${{ matrix.torch-version }} == *"dev"* ]]; then | |
| pip install --no-cache-dir --pre torch==${{ matrix.torch-version }} --index-url https://download.pytorch.org/whl/nightly/cu${TORCH_CUDA_VERSION} | |
| else | |
| pip install --no-cache-dir torch==${{ matrix.torch-version }} --index-url https://download.pytorch.org/whl/cu${TORCH_CUDA_VERSION} | |
| fi | |
| nvcc --version | |
| python --version | |
| python -c "import torch; print('PyTorch:', torch.__version__)" | |
| python -c "import torch; print('CUDA:', torch.version.cuda)" | |
| python -c "from torch.utils import cpp_extension; print (cpp_extension.CUDA_HOME)" | |
| shell: | |
| bash | |
| - name: Build wheel | |
| run: | | |
| # We want setuptools >= 49.6.0 otherwise we can't compile the extension if system CUDA version is 11.7 and pytorch cuda version is 11.6 | |
| # https://github.com/pytorch/pytorch/blob/664058fa83f1d8eede5d66418abff6e20bd76ca8/torch/utils/cpp_extension.py#L810 | |
| # However this still fails so I'm using a newer version of setuptools | |
| pip install setuptools==68.0.0 | |
| pip install ninja packaging wheel | |
| export PATH=/usr/local/nvidia/bin:/usr/local/nvidia/lib64:$PATH | |
| export LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/lib64:$LD_LIBRARY_PATH | |
| # Limit MAX_JOBS otherwise the github runner goes OOM | |
| MAX_JOBS=2 MAMBA_FORCE_BUILD="TRUE" MAMBA_FORCE_CXX11_ABI=${{ matrix.cxx11_abi}} python setup.py bdist_wheel --dist-dir=dist | |
| tmpname=cu${MATRIX_CUDA_VERSION}torch${MATRIX_TORCH_VERSION}cxx11abi${{ matrix.cxx11_abi }} | |
| wheel_name=$(ls dist/*whl | xargs -n 1 basename | sed "s/-/+$tmpname-/2") | |
| ls dist/*whl |xargs -I {} mv {} dist/${wheel_name} | |
| echo "wheel_name=${wheel_name}" >> $GITHUB_ENV | |
| - name: Log Built Wheels | |
| run: | | |
| ls dist | |
| - name: Get the tag version | |
| id: extract_branch | |
| run: echo ::set-output name=branch::${GITHUB_REF#refs/tags/} | |
| - name: Get Release with tag | |
| id: get_current_release | |
| uses: joutvhu/get-release@v1 | |
| with: | |
| tag_name: ${{ steps.extract_branch.outputs.branch }} | |
| env: | |
| GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} | |
| - name: Upload Release Asset | |
| id: upload_release_asset | |
| uses: actions/upload-release-asset@v1 | |
| env: | |
| GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} | |
| with: | |
| upload_url: ${{ steps.get_current_release.outputs.upload_url }} | |
| asset_path: ./dist/${{env.wheel_name}} | |
| asset_name: ${{env.wheel_name}} | |
| asset_content_type: application/* | |
| publish_package: | |
| name: Publish package | |
| needs: [build_wheels] | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@v3 | |
| - uses: actions/setup-python@v4 | |
| with: | |
| python-version: '3.10' | |
| - name: Install dependencies | |
| run: | | |
| pip install ninja packaging setuptools wheel twine | |
| # We don't want to download anything CUDA-related here | |
| pip install torch --index-url https://download.pytorch.org/whl/cpu | |
| - name: Build core package | |
| env: | |
| MAMBA_SKIP_CUDA_BUILD: "TRUE" | |
| run: | | |
| python setup.py sdist --dist-dir=dist | |
| - name: Deploy | |
| env: | |
| TWINE_USERNAME: "__token__" | |
| TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }} | |
| run: | | |
| python -m twine upload dist/* |