Try github action #1
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| name: facebookresearch/pytorch3d/build_and_test | |
| on: | |
| pull_request: | |
| branches: | |
| - main | |
| jobs: | |
| binary_linux_conda_cuda: | |
| runs-on: 4-core-ubuntu-gpu-t4 | |
| container: | |
| image: pytorch/conda-cuda | |
| credentials: | |
| username: ${{ secrets.DOCKERHUB_USERNAME }} | |
| password: ${{ secrets.DOCKERHUB_TOKEN }} | |
| env: | |
| PYTHON_VERSION: "3.12" | |
| BUILD_VERSION: "${{ github.run_number }}" | |
| PYTORCH_VERSION: "2.4.1" | |
| CU_VERSION: "cu121" | |
| TESTRUN_DOCKER_IMAGE: "pytorch/conda-cuda" | |
| DOCKERHUB_USERNAME: ${{ secrets.DOCKERHUB_USERNAME }} | |
| DOCKERHUB_TOKEN: ${{ secrets.DOCKERHUB_TOKEN }} | |
| JUST_TESTRUN: 1 | |
| steps: | |
| - uses: actions/checkout@v3 | |
| - name: Build and run tests | |
| run: |- | |
| # set -e | |
| # export JUST_TESTRUN=1 | |
| # VARS_TO_PASS="-e PYTHON_VERSION -e BUILD_VERSION -e PYTORCH_VERSION -e CU_VERSION -e JUST_TESTRUN" | |
| # docker run --gpus all --ipc=host -v $(pwd):/remote -w /remote ${VARS_TO_PASS} ${TESTRUN_DOCKER_IMAGE} python3 ./packaging/build_conda.py | |
| python3 ./packaging/build_conda.py |