DEBUG stuff #2
Workflow file for this run
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| name: Build and test Windows wheel | ||
| on: | ||
| pull_request: | ||
| push: | ||
| branches: | ||
| - nightly | ||
| - main | ||
| - release/* | ||
| tags: | ||
| - v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+ | ||
| workflow_dispatch: | ||
| concurrency: | ||
| group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && github.sha }}-${{ github.event_name == 'workflow_dispatch' }} | ||
| cancel-in-progress: true | ||
| permissions: | ||
| id-token: write | ||
| contents: write | ||
| defaults: | ||
| run: | ||
| shell: bash -l -eo pipefail {0} | ||
| jobs: | ||
| generate-matrix: | ||
| uses: pytorch/test-infra/.github/workflows/generate_binary_build_matrix.yml@main | ||
| with: | ||
| package-type: wheel | ||
| os: windows | ||
| test-infra-repository: pytorch/test-infra | ||
| test-infra-ref: main | ||
| with-xpu: disable | ||
| with-rocm: disable | ||
| with-cuda: disable | ||
| build-python-only: "disable" | ||
| # build: | ||
| # needs: generate-matrix | ||
| # strategy: | ||
| # fail-fast: false | ||
| # name: Build and Upload Windows wheel | ||
| # # TODO: use @main | ||
| # uses: nicolashug/test-infra/.github/workflows/build_wheels_windows.yml@build-platform-windows | ||
| # with: | ||
| # repository: pytorch/torchcodec | ||
| # ref: "" | ||
| # test-infra-repository: nicolashug/test-infra | ||
| # test-infra-ref: build-platform-windows | ||
| # build-matrix: ${{ needs.generate-matrix.outputs.matrix }} | ||
| # pre-script: packaging/pre_build_script.sh | ||
| # # post-script: packaging/post_build_script.sh TODO: consider enabling post-build checks for Windows | ||
| # env-script: packaging/vc_env_helper.bat | ||
| # smoke-test-script: packaging/fake_smoke_test.py | ||
| # package-name: torchcodec | ||
| # trigger-event: ${{ github.event_name }} | ||
| # build-platform: "python-build-package" | ||
| # # The BUILD_AGAINST_ALL_FFMPEG_FROM_S3 var, needed to build the wheel, is | ||
| # # set in vc_env_helper.bat Couldn't find a way to set it from here. | ||
| # build-command: "python -m build --wheel -vvv --no-isolation" | ||
| # install-and-test: | ||
| # runs-on: windows-latest | ||
| # strategy: | ||
| # fail-fast: false | ||
| # matrix: | ||
| # python-version: ['3.9'] | ||
| # ffmpeg-version-for-tests: ['4.4.2', '5.1.2', '6.1.1', '7.0.1'] | ||
| # needs: build | ||
| # steps: | ||
| # - uses: actions/download-artifact@v4 | ||
| # with: | ||
| # name: pytorch_torchcodec__${{ matrix.python-version }}_cpu_x64 | ||
| # path: pytorch/torchcodec/dist/ | ||
| # - name: Setup conda env | ||
| # uses: conda-incubator/setup-miniconda@v2 | ||
| # with: | ||
| # auto-update-conda: true | ||
| # miniconda-version: "latest" | ||
| # activate-environment: test | ||
| # python-version: ${{ matrix.python-version }} | ||
| # - name: Update pip | ||
| # run: python -m pip install --upgrade pip | ||
| # - name: Install PyTorch | ||
| # run: | | ||
| # python -m pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cpu | ||
| # - name: Install torchcodec from the wheel | ||
| # run: | | ||
| # wheel_path=`find pytorch/torchcodec/dist -type f -name "*.whl"` | ||
| # echo Installing $wheel_path | ||
| # python -m pip install $wheel_path -vvv | ||
| # - name: Check out repo | ||
| # uses: actions/checkout@v3 | ||
| # - name: Install ffmpeg, post build | ||
| # run: | | ||
| # # Ideally we would have checked for that before installing the wheel, | ||
| # # but we need to checkout the repo to access this file, and we don't | ||
| # # want to checkout the repo before installing the wheel to avoid any | ||
| # # side-effect. It's OK. | ||
| # source packaging/helpers.sh | ||
| # assert_ffmpeg_not_installed | ||
| # conda install "ffmpeg=${{ matrix.ffmpeg-version-for-tests }}" -c conda-forge | ||
| # ffmpeg -version | ||
| # # On Windows, ensure the conda Library/bin directory is in PATH | ||
| # # This is needed for Windows DLL loading to find FFmpeg DLLs | ||
| # if [[ "$RUNNER_OS" == "Windows" ]]; then | ||
| # conda_env_path=$(conda info --base)/envs/test | ||
| # library_bin_path="$conda_env_path/Library/bin" | ||
| # echo "Adding conda Library/bin to PATH: $library_bin_path" | ||
| # echo "$library_bin_path" >> $GITHUB_PATH | ||
| # # Verify FFmpeg DLLs are accessible | ||
| # echo "Checking if FFmpeg DLLs are in PATH:" | ||
| # where avutil.dll || echo "avutil.dll not found in PATH" | ||
| # where avcodec.dll || echo "avcodec.dll not found in PATH" | ||
| # where avformat.dll || echo "avformat.dll not found in PATH" | ||
| # fi | ||
| # - name: Test torchcodec import after FFmpeg installation | ||
| # run: | | ||
| # echo "Testing torchcodec import after FFmpeg is installed and PATH is updated..." | ||
| # python -c "import torchcodec; print('TorchCodec import successful!')" | ||
| # - name: Install test dependencies | ||
| # run: | | ||
| # # Ideally we would find a way to get those dependencies from pyproject.toml | ||
| # python -m pip install numpy pytest pillow | ||
| # - name: Delete the src/ folder just for fun | ||
| # run: | | ||
| # # The only reason we checked-out the repo is to get access to the | ||
| # # tests. We don't care about the rest. Out of precaution, we delete | ||
| # # the src/ folder to be extra sure that we're running the code from | ||
| # # the installed wheel rather than from the source. | ||
| # # This is just to be extra cautious and very overkill because a) | ||
| # # there's no way the `torchcodec` package from src/ can be found from | ||
| # # the PythonPath: the main point of `src/` is precisely to protect | ||
| # # against that and b) if we ever were to execute code from | ||
| # # `src/torchcodec`, it would fail loudly because the built .so files | ||
| # # aren't present there. | ||
| # rm -r src/ | ||
| # ls | ||
| # - name: Run Python tests | ||
| # run: | | ||
| # pytest test -vvv | ||
| install-and-test-on-test-infra: | ||
| strategy: | ||
| matrix: | ||
| python-version: | ||
| - "3.9" | ||
| # - "3.10" | ||
| # - "3.11" | ||
| # - "3.12" | ||
| runner: ["windows.4xlarge"] | ||
| gpu-arch-type: ["cpu"] | ||
| ffmpeg-version-for-tests: ['6.1.1'] | ||
| # ffmpeg-version-for-tests: ['4.4.2', '5.1.2', '6.1.1', '7.0.1'] | ||
| # TODO: put GPU testing back | ||
| # include: | ||
| # - python-version: "3.9" | ||
| # runner: windows.g5.4xlarge.nvidia.gpu | ||
| # gpu-arch-type: cuda | ||
| # gpu-arch-version: "11.8" | ||
| fail-fast: false | ||
| # needs: build | ||
| needs: generate-matrix ## TODO REMOVE | ||
| uses: pytorch/test-infra/.github/workflows/windows_job.yml@main | ||
| permissions: | ||
| id-token: write | ||
| contents: read | ||
| with: | ||
| repository: pytorch/torchcodec | ||
| runner: ${{ matrix.runner }} | ||
| gpu-arch-type: ${{ matrix.gpu-arch-type }} | ||
| gpu-arch-version: ${{ matrix.gpu-arch-version }} | ||
| timeout: 120 | ||
| test-infra-ref: main | ||
| script: | | ||
| set -euxo pipefail | ||
| export PYTHON_VERSION=${{ matrix.python-version }} | ||
| export VC_YEAR=2022 | ||
| export VSDEVCMD_ARGS="" | ||
| export GPU_ARCH_TYPE=${{ matrix.gpu-arch-type }} | ||
| export GPU_ARCH_VERSION=${{ matrix.gpu-arch-version }} | ||
| export FFMPEG_VERSION_FOR_TESTS=${{ matrix.ffmpeg-version-for-tests }} | ||
| export BUILD_AGAINST_ALL_FFMPEG_FROM_S3=1 | ||
| # Prepare conda | ||
| set +x && eval "$($(which conda) shell.bash hook)" && set -x | ||
| echo '::group::Create build environment' | ||
| conda create \ | ||
| --name ci \ | ||
| --quiet --yes \ | ||
| python="${PYTHON_VERSION}" pip | ||
| conda activate ci | ||
| # Install PyTorch | ||
| python -m pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cpu | ||
| # Install build dependencies | ||
| conda install cmake pkg-config pybind11 "ffmpeg=${{ matrix.ffmpeg-version-for-tests }}" -c conda-forge | ||
| # Ensure FFmpeg DLLs are in PATH for Windows | ||
| conda_env_path=$(conda info --base)/envs/ci | ||
| library_bin_path="$conda_env_path/Library/bin" | ||
| echo "Adding conda Library/bin to PATH: $library_bin_path" | ||
| echo "$library_bin_path" >> $GITHUB_PATH | ||
| # Verify FFmpeg is available | ||
| ffmpeg -version | ||
| # Install torchcodec from source in development mode | ||
| pip install -e ".[dev]" --no-build-isolation -vv | ||
| # Add torchcodec source directory to DLL search path for Windows | ||
| torchcodec_dll_path="$(pwd)/src/torchcodec" | ||
| echo "Adding torchcodec DLL path: $torchcodec_dll_path" | ||
| export PATH="$torchcodec_dll_path:$PATH" | ||
| # Test torchcodec import with detailed error reporting | ||
| python -c " | ||
| import torch | ||
| print(f'PyTorch version: {torch.__version__}') | ||
| try: | ||
| import torchcodec | ||
| print('TorchCodec import successful!') | ||
| except Exception as e: | ||
| print(f'TorchCodec import failed: {e}') | ||
| import traceback | ||
| traceback.print_exc() | ||
| # Try to get more specific error info | ||
| try: | ||
| from torchcodec._core import ops | ||
| print('Core ops import successful') | ||
| except Exception as ops_e: | ||
| print(f'Core ops import failed: {ops_e}') | ||
| traceback.print_exc() | ||
| " | ||
| # Run tests | ||
| pytest test -vvv | ||
