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Merge branch 'mac_wheels_ci' of github.com:scotts/torchcodec into mac_wheels_ci
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.github/workflows/macos_wheel.yaml

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@@ -54,16 +54,6 @@ jobs:
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build-platform: "python-build-package"
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build-command: "BUILD_AGAINST_ALL_FFMPEG_FROM_S3=1 ${CONDA_RUN} python3 -m build --wheel -vvv --no-isolation"
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validate-binaries:
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uses: pytorch/test-infra/.github/workflows/validate-domain-library.yml@main
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with:
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package_type: "wheel"
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os: "macos-arm64"
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channel: "nightly"
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repository: "pytorch/torchcodec"
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smoke_test: "source ./packaging/validate_wheel.sh"
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install_torch: true
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install-and-test:
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runs-on: macos-m1-stable
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strategy:
@@ -78,61 +68,97 @@ jobs:
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with:
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name: pytorch_torchcodec__${{ matrix.python-version }}_cpu_
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path: pytorch/torchcodec/dist/
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- name: Setup miniconda
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uses: pytorch/test-infra/.github/actions/setup-miniconda@macbuildwheel
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## start copying from test-infra/.github/actions/setup-binary-builds/action.yaml, line 84
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- name: Setup miniconda (for pytorch_pkg_helpers)
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uses: conda-incubator/[email protected]
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with:
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miniconda-version: "py39_4.12.0"
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python-version: ${{ matrix.python-version }}
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- name: Update pip
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architecture: arm64
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- name: Clean conda environment
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shell: bash -l {0}
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run: |
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set -euxo pipefail
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conda info | grep -i 'base environment'
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conda clean --all --quiet --yes
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- name: Reset channel priority
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shell: bash -l {0}
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run: |
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python3 -m pip install --upgrade pip
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set -euxo pipefail
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conda config --set channel_priority false
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- name: Generate file from pytorch_pkg_helpers
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working-directory: ${{ inputs.repository }}
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shell: bash -l {0}
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run: |
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set -euxo pipefail
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CONDA_ENV="${RUNNER_TEMP}/pytorch_pkg_helpers_${GITHUB_RUN_ID}"
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conda create \
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--yes --quiet \
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--prefix "${CONDA_ENV}" \
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"python=3.9"
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CONDA_ENV="${CONDA_ENV}"
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CONDA_RUN="conda run -p ${CONDA_ENV}"
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${CONDA_RUN} python -m pip install ${GITHUB_WORKSPACE}/test-infra/tools/pkg-helpers
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BUILD_ENV_FILE="${RUNNER_TEMP}/build_env_${GITHUB_RUN_ID}"
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${CONDA_RUN} python -m pytorch_pkg_helpers > "${BUILD_ENV_FILE}"
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cat "${BUILD_ENV_FILE}"
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echo "BUILD_ENV_FILE=${BUILD_ENV_FILE}" >> "${GITHUB_ENV}"
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- name: Setup conda environment for build
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shell: bash -l {0}
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env:
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PYTHON_VERSION: ${{ matrix.python-version }}
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run: |
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set -euxo pipefail
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CONDA_ENV="${RUNNER_TEMP}/conda_environment_${GITHUB_RUN_ID}"
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if [[ "${PACKAGE_TYPE:-}" == "conda" ]]; then
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# For conda package host python version is irrelevant
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export PYTHON_VERSION=3.9
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export CONDA_BUILD_EXTRA="conda=24.4.0 conda-build=24.3.0 python-libarchive-c=2.9"
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else
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# For wheel builds we don't need neither conda nor conda-build
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export CONDA_BUILD_EXTRA=""
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fi
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conda create \
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--yes --quiet \
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--prefix "${CONDA_ENV}" \
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"python=${PYTHON_VERSION}" \
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cmake=3.26 \
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ninja=1.10 \
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pkg-config=0.29 \
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${CONDA_BUILD_EXTRA} \
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wheel=0.37
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echo "CONDA_ENV=${CONDA_ENV}" >> "${GITHUB_ENV}"
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echo "CONDA_RUN=conda run -p ${CONDA_ENV}" >> "${GITHUB_ENV}"
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## end copying
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- name: Update pip
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run: python -m pip install --upgrade pip
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- name: Install PyTorch
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run: |
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python3 -m pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cpu
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${CONDA_RUN} python -m pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cpu
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- name: Install torchcodec from the wheel
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run: |
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wheel_path=`find pytorch/torchcodec/dist -type f -name "*.whl"`
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echo Installing $wheel_path
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python3 -m pip install $wheel_path -vvv
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${CONDA_RUN} python -m pip install $wheel_path -vvv
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- name: Check out repo
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uses: actions/checkout@v3
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- name: Install ffmpeg, post build
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run: |
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# Ideally we would have checked for that before installing the wheel,
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# but we need to checkout the repo to access this file, and we don't
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# want to checkout the repo before installing the wheel to avoid any
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# side-effect. It's OK.
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source packaging/helpers.sh
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# below was failing, but when I just try to call "ffmpeg -version" that also fails?
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#assert_ffmpeg_not_installed
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conda install "ffmpeg=${{ matrix.ffmpeg-version-for-tests }}" -c conda-forge
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ffmpeg -version
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- name: Install test dependencies
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run: |
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python3 -m pip install --pre torchvision --index-url https://download.pytorch.org/whl/nightly/cpu
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# Ideally we would find a way to get those dependencies from pyproject.toml
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python3 -m pip install numpy pytest pillow
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${CONDA_RUN} python -m pip install --pre torchvision --index-url https://download.pytorch.org/whl/nightly/cpu
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${CONDA_RUN} python -m pip install numpy pytest pillow
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- name: Delete the src/ folder just for fun
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run: |
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# The only reason we checked-out the repo is to get access to the
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# tests. We don't care about the rest. Out of precaution, we delete
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# the src/ folder to be extra sure that we're running the code from
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# the installed wheel rather than from the source.
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# This is just to be extra cautious and very overkill because a)
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# there's no way the `torchcodec` package from src/ can be found from
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# the PythonPath: the main point of `src/` is precisely to protect
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# against that and b) if we ever were to execute code from
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# `src/torchcodec`, it would fail loudly because the built .so files
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# aren't present there.
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rm -r src/
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ls
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- name: Smoke test
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run: |
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python3 test/decoders/manual_smoke_test.py
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${CONDA_RUN} python test/decoders/manual_smoke_test.py
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- name: Run Python tests
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run: |
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pytest test
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${CONDA_RUN} pytest test

packaging/validate_wheel.sh

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@@ -3,8 +3,16 @@
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set -eux
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conda install ffmpeg -c conda-forge
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# line below is inspired by:
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# https://github.com/pytorch/text/blob/1d4ce73c57417f1af8278af56631de3c25e3bbaf/.github/scripts/validate_binaries.sh#L5
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# but when looking at the actual job that runs, we seem to install 0.0.0dev, a version
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# we probably uploaded during release testing. How do we get the wheel generated during
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# the build job?
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pip install ${PYTORCH_PIP_PREFIX} torchcodec --extra-index-url ${PYTORCH_PIP_DOWNLOAD_URL}
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pip install --pre torchvision --index-url https://download.pytorch.org/whl/nightly/cpu
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pip install numpy pytest pillow
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python3 test/decoders/manual_smoke_test.py
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pytest test -vvv

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