Added skeleton code for cuda builds #2
Workflow file for this run
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name: Unit-tests on Linux GPU | |
on: | |
pull_request: | |
push: | |
branches: | |
- nightly | |
- main | |
- release/* | |
workflow_dispatch: | |
jobs: | |
tests: | |
strategy: | |
matrix: | |
python_version: ["3.9"] | |
# TODO: Add more cuda versions. | |
cuda_arch_version: ["12.4"] | |
ffmpeg_version: ["origin/release/6.1"] | |
fail-fast: false | |
uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
with: | |
runner: linux.g5.4xlarge.nvidia.gpu | |
repository: pytorch/torchcodec | |
gpu-arch-type: cuda | |
gpu-arch-version: ${{ matrix.cuda_arch_version }} | |
timeout: 120 | |
script: | | |
nvidia-smi | |
conda create --yes --name test | |
conda activate test | |
conda install --quiet --yes pip cmake pkg-config nasm | |
pip install --quiet --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cu124 | |
conda install --quiet --yes nvidia::libnpp | |
# Build and install FFMPEG from source with CUDA enabled. | |
# The one on conda doesn't have CUDA enabled. | |
# Sub-step: install nvidia headers. Reference this link for details: | |
# https://docs.nvidia.com/video-technologies/video-codec-sdk/12.1/ffmpeg-with-nvidia-gpu/index.html | |
git clone --quiet https://git.videolan.org/git/ffmpeg/nv-codec-headers.git | |
pushd nv-codec-headers | |
make --silent PREFIX=$CONDA_PREFIX -j install | |
popd | |
# Now build FFMPEG from source with CUDA enabled. | |
git clone --quiet https://git.ffmpeg.org/ffmpeg.git ffmpeg/ | |
pushd ffmpeg | |
git checkout ${{ matrix.ffmpeg_version }} | |
which pkg-config | |
pkg-config --list-all | |
./configure --prefix=$CONDA_PREFIX --enable-nonfree --enable-cuda-nvcc --disable-static --enable-shared --optflags=-fno-omit-frame-pointer --disable-stripping --enable-cuvid --enable-rpath | |
make --silent -j install | |
popd | |
CMAKE_BUILD_PARALLEL_LEVEL=8 CXXFLAGS="" LDFLAGS="-Wl,--allow-shlib-undefined -Wl,-rpath,$CONDA_PREFIX/lib -Wl,-rpath-link,$CONDA_PREFIX/lib -L$CONDA_PREFIX/lib" CMAKE_BUILD_TYPE=Release ENABLE_CUDA=1 ENABLE_NVTX=1 pip install -e ".[dev]" --no-build-isolation -vv --debug | |
# We skip certain tests because they are not relevant to GPU decoding and they always fail with | |
# a custom FFMPEG build. | |
which ffmpeg | |
pytest -k "not (test_get_metadata or get_ffmpeg_version)" | |
# TODO: Run actual GPU decoding. We will do that once the implementation is in-place. | |
conda deactivate |