Create cuda_linux_build.yml #1
Workflow file for this run
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| # Workflow to build the parallelproj C/CUDA libs (incl. installation of CUDA) | |
| name: CMake on a single platform | |
| on: | |
| push: | |
| branches: [ "master" ] | |
| pull_request: | |
| branches: [ "master" ] | |
| env: | |
| # Customize the CMake build type here (Release, Debug, RelWithDebInfo, etc.) | |
| BUILD_TYPE: Release | |
| jobs: | |
| build: | |
| # The CMake configure and build commands are platform agnostic and should work equally well on Windows or Mac. | |
| # You can convert this to a matrix build if you need cross-platform coverage. | |
| # See: https://docs.github.com/en/free-pro-team@latest/actions/learn-github-actions/managing-complex-workflows#using-a-build-matrix | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@v3 | |
| - uses: Jimver/[email protected] | |
| id: cuda-toolkit | |
| with: | |
| cuda: '12.1.0' | |
| method: 'network' | |
| - name: Configure CMake | |
| # Configure CMake in a 'build' subdirectory. `CMAKE_BUILD_TYPE` is only required if you are using a single-configuration generator such as make. | |
| # See https://cmake.org/cmake/help/latest/variable/CMAKE_BUILD_TYPE.html?highlight=cmake_build_type | |
| run: cmake -B ${{github.workspace}}/build -DCMAKE_BUILD_TYPE=${{env.BUILD_TYPE}} | |
| - name: Build | |
| # Build your program with the given configuration | |
| run: cmake --build ${{github.workspace}}/build --config ${{env.BUILD_TYPE}} | |
| - name: Test | |
| working-directory: ${{github.workspace}}/build | |
| # Execute tests defined by the CMake configuration. | |
| # See https://cmake.org/cmake/help/latest/manual/ctest.1.html for more detail | |
| # we have to skip the CUDA tests since there are now CUDA devices available | |
| run: ctest -C ${{env.BUILD_TYPE}} -VV -E cuda |