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migrate cmake workflows from CircleCI to GHA (#7417)
Co-authored-by: Andrey Talman <atalman@fb.com>
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#!/usr/bin/env bash | ||
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set -euxo pipefail | ||
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./.github/scripts/setup-env.sh | ||
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# Activate conda environment | ||
set +x && eval "$($(which conda) shell.bash hook)" && conda deactivate && conda activate ci && set -x | ||
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# Setup the OS_TYPE environment variable that should be used for conditions involving the OS below. | ||
case $(uname) in | ||
Linux) | ||
OS_TYPE=linux | ||
;; | ||
Darwin) | ||
OS_TYPE=macos | ||
;; | ||
MSYS*) | ||
OS_TYPE=windows | ||
;; | ||
*) | ||
echo "Unknown OS type:" $(uname) | ||
exit 1 | ||
;; | ||
esac | ||
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if [[ $OS_TYPE == macos ]]; then | ||
JOBS=$(sysctl -n hw.logicalcpu) | ||
else | ||
JOBS=$(nproc) | ||
fi | ||
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TORCH_PATH=$(python -c "import pathlib, torch; print(pathlib.Path(torch.__path__[0]))") | ||
if [[ $OS_TYPE == windows ]]; then | ||
PACKAGING_DIR="${PWD}/packaging" | ||
export PATH="${TORCH_PATH}/lib:${PATH}" | ||
fi | ||
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Torch_DIR="${TORCH_PATH}/share/cmake/Torch" | ||
if [[ "${GPU_ARCH_TYPE}" == "cuda" ]]; then | ||
WITH_CUDA=1 | ||
else | ||
WITH_CUDA=0 | ||
fi | ||
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echo '::group::Prepare CMake builds' | ||
mkdir -p cpp_build | ||
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pushd test/tracing/frcnn | ||
python trace_model.py | ||
mkdir -p build | ||
mv fasterrcnn_resnet50_fpn.pt build | ||
popd | ||
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pushd examples/cpp/hello_world | ||
python trace_model.py | ||
mkdir -p build | ||
mv resnet18.pt build | ||
popd | ||
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# This was only needed for the tracing above | ||
pip uninstall -y torchvision | ||
echo '::endgroup::' | ||
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echo '::group::Build and install libtorchvision' | ||
pushd cpp_build | ||
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# On macOS, CMake is looking for the library (*.dylib) and the header (*.h) separately. By default, it prefers to load | ||
# the header from other packages that install the library. This easily leads to a mismatch if the library installed | ||
# from conda doesn't have the exact same version. Thus, we need to explicitly set CMAKE_FIND_FRAMEWORK=NEVER to force | ||
# it to not load anything from other installed frameworks. Resources: | ||
# https://stackoverflow.com/questions/36523911/osx-homebrew-cmake-libpng-version-mismatch-issue | ||
# https://cmake.org/cmake/help/latest/variable/CMAKE_FIND_FRAMEWORK.html | ||
cmake .. -DTorch_DIR="${Torch_DIR}" -DWITH_CUDA="${WITH_CUDA}" \ | ||
-DCMAKE_PREFIX_PATH="${CONDA_PREFIX}" \ | ||
-DCMAKE_FIND_FRAMEWORK=NEVER \ | ||
-DCMAKE_INSTALL_PREFIX="${CONDA_PREFIX}" | ||
if [[ $OS_TYPE == windows ]]; then | ||
"${PACKAGING_DIR}/windows/internal/vc_env_helper.bat" "${PACKAGING_DIR}/windows/internal/build_cmake.bat" $JOBS | ||
else | ||
make -j$JOBS | ||
make install | ||
fi | ||
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popd | ||
echo '::endgroup::' | ||
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echo '::group::Build and run project that uses Faster-RCNN' | ||
pushd test/tracing/frcnn/build | ||
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cmake .. -DTorch_DIR="${Torch_DIR}" -DWITH_CUDA="${WITH_CUDA}" \ | ||
-DCMAKE_PREFIX_PATH="${CONDA_PREFIX}" \ | ||
-DCMAKE_FIND_FRAMEWORK=NEVER | ||
if [[ $OS_TYPE == windows ]]; then | ||
"${PACKAGING_DIR}/windows/internal/vc_env_helper.bat" "${PACKAGING_DIR}/windows/internal/build_frcnn.bat" $JOBS | ||
cd Release | ||
cp ../fasterrcnn_resnet50_fpn.pt . | ||
else | ||
make -j$JOBS | ||
fi | ||
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./test_frcnn_tracing | ||
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popd | ||
echo '::endgroup::' | ||
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echo '::group::Build and run C++ example' | ||
pushd examples/cpp/hello_world/build | ||
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cmake .. -DTorch_DIR="${Torch_DIR}" \ | ||
-DCMAKE_PREFIX_PATH="${CONDA_PREFIX}" \ | ||
-DCMAKE_FIND_FRAMEWORK=NEVER | ||
if [[ $OS_TYPE == windows ]]; then | ||
"${PACKAGING_DIR}/windows/internal/vc_env_helper.bat" "${PACKAGING_DIR}/windows/internal/build_cpp_example.bat" $JOBS | ||
cd Release | ||
cp ../resnet18.pt . | ||
else | ||
make -j$JOBS | ||
fi | ||
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./hello-world | ||
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popd | ||
echo '::endgroup::' |
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name: CMake | ||
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on: | ||
pull_request: | ||
push: | ||
branches: | ||
- nightly | ||
- main | ||
- release/* | ||
workflow_dispatch: | ||
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jobs: | ||
linux: | ||
strategy: | ||
matrix: | ||
include: | ||
- runner: linux.12xlarge | ||
gpu-arch-type: cpu | ||
- runner: linux.g5.4xlarge.nvidia.gpu | ||
gpu-arch-type: cuda | ||
gpu-arch-version: "11.8" | ||
fail-fast: false | ||
uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | ||
with: | ||
repository: pytorch/vision | ||
runner: ${{ matrix.runner }} | ||
gpu-arch-type: ${{ matrix.gpu-arch-type }} | ||
gpu-arch-version: ${{ matrix.gpu-arch-version }} | ||
script: | | ||
set -euo pipefail | ||
export PYTHON_VERSION=3.8 | ||
export GPU_ARCH_TYPE=${{ matrix.gpu-arch-type }} | ||
export GPU_ARCH_VERSION=${{ matrix.gpu-arch-version }} | ||
./.github/scripts/cmake.sh | ||
macos: | ||
strategy: | ||
matrix: | ||
include: | ||
- runner: macos-12 | ||
- runner: macos-m1-12 | ||
fail-fast: false | ||
uses: pytorch/test-infra/.github/workflows/macos_job.yml@main | ||
with: | ||
repository: pytorch/vision | ||
runner: ${{ matrix.runner }} | ||
script: | | ||
set -euo pipefail | ||
export PYTHON_VERSION=3.8 | ||
export GPU_ARCH_TYPE=cpu | ||
export GPU_ARCH_VERSION='' | ||
./.github/scripts/cmake.sh | ||
windows: | ||
strategy: | ||
matrix: | ||
include: | ||
- runner: windows.4xlarge | ||
gpu-arch-type: cpu | ||
- runner: windows.g5.4xlarge.nvidia.gpu | ||
gpu-arch-type: cuda | ||
gpu-arch-version: "11.8" | ||
fail-fast: false | ||
uses: pytorch/test-infra/.github/workflows/windows_job.yml@main | ||
with: | ||
repository: pytorch/vision | ||
runner: ${{ matrix.runner }} | ||
gpu-arch-type: ${{ matrix.gpu-arch-type }} | ||
gpu-arch-version: ${{ matrix.gpu-arch-version }} | ||
script: | | ||
set -euo pipefail | ||
source packaging/windows/internal/vc_install_helper.sh | ||
# FIXME: Basically, we are reinstalling CUDA here. We only need this, because we need to copy some files that | ||
# can be extracted from the CUDA installer, but are not available on our Windows AMI. | ||
# See https://github.com/pytorch/test-infra/pull/4189 | ||
if [[ ${{ matrix.gpu-arch-type }} == cuda ]]; then | ||
export CU_VERSION=cu$(echo ${{ matrix.gpu-arch-version }} | sed 's/\.//') | ||
echo CU_VERSION="${CU_VERSION}" | ||
packaging/windows/internal/cuda_install.bat | ||
fi | ||
export PYTHON_VERSION=3.8 | ||
export GPU_ARCH_TYPE=${{ matrix.gpu-arch-type }} | ||
export GPU_ARCH_VERSION=${{ matrix.gpu-arch-version }} | ||
./.github/scripts/cmake.sh |
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