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Copied from torchvision. ghstack-source-id: 2158902438d9fef846d5fa1b93033135612879a9 Pull Request resolved: #87
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#!/usr/bin/env bash | ||
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set -euxo pipefail | ||
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# Prepare conda | ||
set +x && eval "$($(which conda) shell.bash hook)" && 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" && $(uname -m) == x86_64 ]]; then | ||
echo '::group::Uninstall system JPEG libraries on macOS' | ||
# The x86 macOS runners, e.g. the GitHub Actions native "macos-12" runner, has some JPEG and PNG libraries | ||
# installed by default that interfere with our build. We uninstall them here and use the one from conda below. | ||
IMAGE_LIBS=$(brew list | grep -E "jpeg|png") | ||
for lib in $IMAGE_LIBS; do | ||
brew uninstall --ignore-dependencies --force "${lib}" | ||
done | ||
echo '::endgroup::' | ||
fi | ||
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echo '::group::Create build environment' | ||
# See https://github.com/pytorch/vision/issues/7296 for ffmpeg | ||
conda create \ | ||
--name ci \ | ||
--quiet --yes \ | ||
python="${PYTHON_VERSION}" pip \ | ||
ninja cmake | ||
conda activate ci | ||
pip install --progress-bar=off --upgrade setuptools | ||
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echo '::endgroup::' | ||
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if [[ "${OS_TYPE}" == windows && "${GPU_ARCH_TYPE}" == cuda ]]; then | ||
echo '::group::Install VisualStudio CUDA extensions on Windows' | ||
if [[ "${VC_YEAR:-}" == "2022" ]]; then | ||
TARGET_DIR="/c/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/MSBuild/Microsoft/VC/v170/BuildCustomizations" | ||
else | ||
TARGET_DIR="/c/Program Files (x86)/Microsoft Visual Studio/2019/BuildTools/MSBuild/Microsoft/VC/v160/BuildCustomizations" | ||
fi | ||
mkdir -p "${TARGET_DIR}" | ||
cp -r "${CUDA_HOME}/MSBuildExtensions/"* "${TARGET_DIR}" | ||
echo '::endgroup::' | ||
fi | ||
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echo '::group::Install PyTorch' | ||
# TODO: Can we maybe have this as environment variable in the job template? For example, `IS_RELEASE`. | ||
if [[ (${GITHUB_EVENT_NAME} = 'pull_request' && (${GITHUB_BASE_REF} = 'release'*)) || (${GITHUB_REF} = 'refs/heads/release'*) ]]; then | ||
CHANNEL=test | ||
else | ||
CHANNEL=nightly | ||
fi | ||
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case $GPU_ARCH_TYPE in | ||
cpu) | ||
GPU_ARCH_ID="cpu" | ||
;; | ||
cuda) | ||
VERSION_WITHOUT_DOT=$(echo "${GPU_ARCH_VERSION}" | sed 's/\.//') | ||
GPU_ARCH_ID="cu${VERSION_WITHOUT_DOT}" | ||
;; | ||
*) | ||
echo "Unknown GPU_ARCH_TYPE=${GPU_ARCH_TYPE}" | ||
exit 1 | ||
;; | ||
esac | ||
PYTORCH_WHEEL_INDEX="https://download.pytorch.org/whl/${CHANNEL}/${GPU_ARCH_ID}" | ||
pip install --progress-bar=off --pre torch --index-url="${PYTORCH_WHEEL_INDEX}" | ||
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if [[ $GPU_ARCH_TYPE == 'cuda' ]]; then | ||
python -c "import torch; exit(not torch.cuda.is_available())" | ||
fi | ||
echo '::endgroup::' | ||
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echo '::group::Install third party dependencies prior to extension-cpp install' | ||
# Installing with `easy_install`, e.g. `python setup.py install` or `python setup.py develop`, has some quirks when | ||
# when pulling in third-party dependencies. For example: | ||
# - On Windows, we often hit an SSL error although `pip` can install just fine. | ||
# - It happily pulls in pre-releases, which can lead to more problems down the line. | ||
# `pip` does not unless explicitly told to do so. | ||
# Thus, we use `easy_install` to extract the third-party dependencies here and install them upfront with `pip`. | ||
python setup.py egg_info | ||
# The requires.txt cannot be used with `pip install -r` directly. The requirements are listed at the top and the | ||
# optional dependencies come in non-standard syntax after a blank line. Thus, we just extract the header. | ||
sed -e '/^$/,$d' *.egg-info/requires.txt | tee requirements.txt | ||
pip install --progress-bar=off -r requirements.txt | ||
echo '::endgroup::' | ||
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echo '::group::Install extension-cpp' | ||
python setup.py develop | ||
echo '::endgroup::' | ||
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echo '::group::Collect environment information' | ||
conda list | ||
python -m torch.utils.collect_env | ||
echo '::endgroup::' |
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#!/usr/bin/env bash | ||
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set -euo pipefail | ||
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./.github/scripts/setup-env.sh | ||
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# Activate conda environment | ||
eval "$($(which conda) shell.bash hook)" && conda deactivate && conda activate ci | ||
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echo '::group::Install testing utilities' | ||
pip install --progress-bar=off pytest pytest-mock pytest-cov expecttest numpy | ||
echo '::endgroup::' | ||
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pytest test/ --junit-xml="${RUNNER_TEST_RESULTS_DIR}/test-results.xml" -v |
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name: Tests | ||
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on: | ||
pull_request: | ||
push: | ||
branches: | ||
- master | ||
workflow_dispatch: | ||
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jobs: | ||
unittests-linux: | ||
strategy: | ||
matrix: | ||
python-version: | ||
- "3.11" | ||
runner: ["linux.12xlarge"] | ||
gpu-arch-type: ["cpu"] | ||
include: | ||
- python-version: 3.8 | ||
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/extension-cpp | ||
runner: ${{ matrix.runner }} | ||
gpu-arch-type: ${{ matrix.gpu-arch-type }} | ||
gpu-arch-version: ${{ matrix.gpu-arch-version }} | ||
timeout: 120 | ||
script: | | ||
set -euo pipefail | ||
export PYTHON_VERSION=${{ matrix.python-version }} | ||
export GPU_ARCH_TYPE=${{ matrix.gpu-arch-type }} | ||
export GPU_ARCH_VERSION=${{ matrix.gpu-arch-version }} | ||
./.github/scripts/unittest.sh |
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