Use cuda version PT when build with CUDA delegate #13
Workflow file for this run
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| # Test ExecutorTorch CUDA Build Compatibility | |
| # This workflow tests whether ExecutorTorch can be successfully built with CUDA support | |
| # across different CUDA versions (12.6, 12.8, 12.9) using the command: | |
| # CMAKE_ARGS="-DEXECUTORCH_BUILD_CUDA=ON" ./install_executorch.sh | |
| # | |
| # Note: ExecutorTorch automatically detects the system CUDA version using nvcc and | |
| # installs the appropriate PyTorch wheel. No manual CUDA/PyTorch installation needed. | |
| name: Test CUDA Builds | |
| on: | |
| pull_request: | |
| push: | |
| branches: | |
| - main | |
| - release/* | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }} | |
| cancel-in-progress: false | |
| jobs: | |
| test-cuda-builds: | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| cuda-version: ["12.6", "12.8", "12.9"] | |
| name: test-executorch-cuda-build-${{ matrix.cuda-version }} | |
| uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main | |
| permissions: | |
| id-token: write | |
| contents: read | |
| with: | |
| timeout: 90 | |
| runner: linux.g5.4xlarge.nvidia.gpu | |
| gpu-arch-type: cuda | |
| gpu-arch-version: ${{ matrix.cuda-version }} | |
| use-custom-docker-registry: false | |
| submodules: recursive | |
| ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }} | |
| script: | | |
| set -eux | |
| # This is needed to get the prebuilt PyTorch wheel from S3 | |
| ${CONDA_RUN} --no-capture-output pip install awscli==1.37.21 | |
| # Test ExecutorTorch CUDA build - ExecutorTorch will automatically detect CUDA version | |
| # and install the appropriate PyTorch wheel when CMAKE_ARGS="-DEXECUTORCH_BUILD_CUDA=ON" | |
| source .ci/scripts/test-cuda-build.sh "${{ matrix.cuda-version }}" | |
| # This job will fail if any of the CUDA versions fail | |
| check-all-cuda-builds: | |
| needs: test-cuda-builds | |
| runs-on: ubuntu-latest | |
| if: always() | |
| steps: | |
| - name: Check if all CUDA builds succeeded | |
| run: | | |
| if [[ "${{ needs.test-cuda-builds.result }}" != "success" ]]; then | |
| echo "ERROR: One or more ExecutorTorch CUDA builds failed!" | |
| echo "CUDA build results: ${{ needs.test-cuda-builds.result }}" | |
| exit 1 | |
| else | |
| echo "SUCCESS: All ExecutorTorch CUDA builds (12.6, 12.8, 12.9) completed successfully!" | |
| fi |