-
Notifications
You must be signed in to change notification settings - Fork 8
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
1 parent
f4065f1
commit cafea81
Showing
2 changed files
with
65 additions
and
1 deletion.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,64 @@ | ||
|
||
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"] | ||
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 origin/release/6.1 | ||
which pkg-config | ||
pkg-config --list-all | ||
./configure --prefix=$CONDA_PREFIX --enable-nonfree --enable-cuda-nvcc --disable-static --enable-shared --optflags=-fno-omit-frame-pointer --disable-stripping --enable-cuvid | ||
make --silent -j install | ||
popd | ||
CMAKE_BUILD_PARALLEL_LEVEL=8 CXXFLAGS="" LDFLAGS="-Wl,--allow-shlib-undefined -Wl,-rpath,$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. | ||
pytest -k "not (test_get_metadata or get_ffmpeg_version)" | ||
python benchmarks/decoders/gpu_benchmark.py | ||
conda deactivate |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters