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2024-12-21 nightly release (f02bd4f)
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pytorchbot committed Dec 21, 2024
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2 changes: 1 addition & 1 deletion .github/workflows/linux_cuda_wheel.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -66,7 +66,7 @@ jobs:
# For the actual release we should add that label and change this to
# include more python versions.
python-version: ['3.9']
cuda-version: ['12.6']
cuda-version: ['11.8', '12.4', '12.6']
ffmpeg-version-for-tests: ['5', '6', '7']
container:
image: "pytorch/manylinux2_28-builder:cuda${{ matrix.cuda-version }}"
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137 changes: 68 additions & 69 deletions .github/workflows/linux_wheel.yaml
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Expand Up @@ -24,6 +24,7 @@ defaults:
shell: bash -l -eo pipefail {0}

jobs:

generate-matrix:
uses: pytorch/test-infra/.github/workflows/generate_binary_build_matrix.yml@main
with:
Expand Down Expand Up @@ -55,76 +56,74 @@ jobs:
build-platform: "python-build-package"
build-command: "BUILD_AGAINST_ALL_FFMPEG_FROM_S3=1 python -m build --wheel -vvv --no-isolation"

# TODO: Put this back!!!!
# See https://github.com/pytorch/torchcodec/issues/415
# install-and-test:
# runs-on: ubuntu-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@v3
# with:
# name: pytorch_torchcodec__${{ matrix.python-version }}_cpu_x86_64
# 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 $wheel_path -vvv
install-and-test:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version: ['3.9']
ffmpeg-version-for-tests: ['4.4.2', '5.1.2', '6.1.1', '7.0.1']
needs: build
steps:
- uses: actions/download-artifact@v3
with:
name: pytorch_torchcodec__${{ matrix.python-version }}_cpu_x86_64
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 $wheel_path -vvv
# - name: Check out repo
# uses: actions/checkout@v3
# - name: Install ffmpeg, post build
# run: |
# # Ideally we would have checked for that before installing the wheel,
# # but we need to checkout the repo to access this file, and we don't
# # want to checkout the repo before installing the wheel to avoid any
# # side-effect. It's OK.
# source packaging/helpers.sh
# assert_ffmpeg_not_installed
- name: Check out repo
uses: actions/checkout@v3
- name: Install ffmpeg, post build
run: |
# Ideally we would have checked for that before installing the wheel,
# but we need to checkout the repo to access this file, and we don't
# want to checkout the repo before installing the wheel to avoid any
# side-effect. It's OK.
source packaging/helpers.sh
assert_ffmpeg_not_installed
# conda install "ffmpeg=${{ matrix.ffmpeg-version-for-tests }}" -c conda-forge
# ffmpeg -version
conda install "ffmpeg=${{ matrix.ffmpeg-version-for-tests }}" -c conda-forge
ffmpeg -version
# - name: Install test dependencies
# run: |
# python -m pip install --pre torchvision --index-url https://download.pytorch.org/whl/nightly/cpu
# # Ideally we would find a way to get those dependencies from pyproject.toml
# python -m pip install numpy pytest pillow
- name: Install test dependencies
run: |
python -m pip install --pre torchvision --index-url https://download.pytorch.org/whl/nightly/cpu
# 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: Smoke test
# run: |
# python -X faulthandler test/decoders/manual_smoke_test.py
# - name: Run Python tests
# run: |
# pytest test -vvv
- 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: Smoke test
run: |
python -X faulthandler test/decoders/manual_smoke_test.py
- name: Run Python tests
run: |
pytest test -vvv

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