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Unverified Commit 657027f3 authored by Andrey Talman's avatar Andrey Talman Committed by GitHub
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Remove unused packaging/pkg_helpers.bash, Remove CONDA_CHANNEL_FLAGS (#7656)

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# A set of useful bash functions for common functionality we need to do in
# many build scripts
# Setup CUDA environment variables, based on CU_VERSION
#
# Inputs:
# CU_VERSION (cpu, cu92, cu100)
# NO_CUDA_PACKAGE (bool)
# BUILD_TYPE (conda, wheel)
#
# Outputs:
# VERSION_SUFFIX (e.g., "")
# PYTORCH_VERSION_SUFFIX (e.g., +cpu)
# WHEEL_DIR (e.g., cu100/)
# CUDA_HOME (e.g., /usr/local/cuda-9.2, respected by torch.utils.cpp_extension)
# FORCE_CUDA (respected by torchvision setup.py)
# NVCC_FLAGS (respected by torchvision setup.py)
#
# Precondition: CUDA versions are installed in their conventional locations in
# /usr/local/cuda-*
#
# NOTE: Why VERSION_SUFFIX versus PYTORCH_VERSION_SUFFIX? If you're building
# a package with CUDA on a platform we support CUDA on, VERSION_SUFFIX ==
# PYTORCH_VERSION_SUFFIX and everyone is happy. However, if you are building a
# package with only CPU bits (e.g., torchaudio), then VERSION_SUFFIX is always
# empty, but PYTORCH_VERSION_SUFFIX is +cpu (because that's how you get a CPU
# version of a Python package. But that doesn't apply if you're on OS X,
# since the default CU_VERSION on OS X is cpu.
setup_cuda() {
# First, compute version suffixes. By default, assume no version suffixes
export VERSION_SUFFIX=""
export PYTORCH_VERSION_SUFFIX=""
export WHEEL_DIR=""
# Wheel builds need suffixes (but not if they're on OS X, which never has suffix)
if [[ "$BUILD_TYPE" == "wheel" ]] && [[ "$(uname)" != Darwin ]]; then
export PYTORCH_VERSION_SUFFIX="+$CU_VERSION"
# Match the suffix scheme of pytorch, unless this package does not have
# CUDA builds (in which case, use default)
if [[ -z "$NO_CUDA_PACKAGE" ]]; then
export VERSION_SUFFIX="$PYTORCH_VERSION_SUFFIX"
export WHEEL_DIR="$CU_VERSION/"
fi
fi
# Now work out the CUDA settings
case "$CU_VERSION" in
cu121)
if [[ "$OSTYPE" == "msys" ]]; then
export CUDA_HOME="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.1"
else
export CUDA_HOME=/usr/local/cuda-12.1/
fi
export TORCH_CUDA_ARCH_LIST="5.0+PTX;6.0;7.0;7.5;8.0;8.6;9.0"
;;
cu118)
if [[ "$OSTYPE" == "msys" ]]; then
export CUDA_HOME="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.8"
else
export CUDA_HOME=/usr/local/cuda-11.8/
fi
export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5;8.0;8.6;9.0"
;;
cu117)
if [[ "$OSTYPE" == "msys" ]]; then
export CUDA_HOME="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.7"
else
export CUDA_HOME=/usr/local/cuda-11.7/
fi
export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5;8.0;8.6"
;;
cpu)
;;
rocm*)
export FORCE_CUDA=1
;;
*)
echo "Unrecognized CU_VERSION=$CU_VERSION"
exit 1
;;
esac
if [[ -n "$CUDA_HOME" ]]; then
# Adds nvcc binary to the search path so that CMake's `find_package(CUDA)` will pick the right one
export PATH="$CUDA_HOME/bin:$PATH"
export FORCE_CUDA=1
fi
}
# Populate build version if necessary, and add version suffix
#
# Inputs:
# BUILD_VERSION (e.g., 0.2.0 or empty)
# VERSION_SUFFIX (e.g., +cpu)
#
# Outputs:
# BUILD_VERSION (e.g., 0.2.0.dev20190807+cpu)
#
# Fill BUILD_VERSION if it doesn't exist already with a nightly string
# Usage: setup_build_version 0.2.0
setup_build_version() {
if [[ -z "$BUILD_VERSION" ]]; then
if [[ -z "$1" ]]; then
setup_base_build_version
else
BUILD_VERSION="$1"
fi
BUILD_VERSION="$BUILD_VERSION.dev$(date "+%Y%m%d")$VERSION_SUFFIX"
else
BUILD_VERSION="$BUILD_VERSION$VERSION_SUFFIX"
fi
# Set build version based on tag if on tag
if [[ -n "${CIRCLE_TAG}" ]]; then
# Strip tag
BUILD_VERSION="$(echo "${CIRCLE_TAG}" | sed -e 's/^v//' -e 's/-.*$//')${VERSION_SUFFIX}"
fi
export BUILD_VERSION
}
setup_base_build_version() {
SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
# version.txt for some reason has `a` character after major.minor.rev
# command below yields 0.10.0 from version.txt containing 0.10.0a0
BUILD_VERSION=$( cut -f 1 -d a "$SCRIPT_DIR/../version.txt" )
export BUILD_VERSION
}
# Set some useful variables for OS X, if applicable
setup_macos() {
if [[ "$(uname)" == Darwin ]]; then
export MACOSX_DEPLOYMENT_TARGET=10.9 CC=clang CXX=clang++
fi
}
# Top-level entry point for things every package will need to do
#
# Usage: setup_env 0.2.0
setup_env() {
setup_cuda
setup_build_version "$1"
setup_macos
}
# Function to retry functions that sometimes timeout or have flaky failures
retry () {
$* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*)
}
# Inputs:
# PYTHON_VERSION (3.8, 3.9, 3.10)
# UNICODE_ABI (bool)
#
# Outputs:
# PATH modified to put correct Python version in PATH
#
# Precondition: If Linux, you are in a soumith/manylinux-cuda* Docker image
setup_wheel_python() {
if [[ "$(uname)" == Darwin || "$OSTYPE" == "msys" ]]; then
eval "$(conda shell.bash hook)"
conda env remove -n "env$PYTHON_VERSION" || true
conda create ${CONDA_CHANNEL_FLAGS} -yn "env$PYTHON_VERSION" python="$PYTHON_VERSION"
conda activate "env$PYTHON_VERSION"
# Install libpng from Anaconda (defaults)
conda install ${CONDA_CHANNEL_FLAGS} libpng "jpeg<=9b" -y
else
# Install native CentOS libJPEG, freetype and GnuTLS
yum install -y libjpeg-turbo-devel freetype gnutls
case "$PYTHON_VERSION" in
3.8) python_abi=cp38-cp38 ;;
3.9) python_abi=cp39-cp39 ;;
3.10) python_abi=cp310-cp310 ;;
*)
echo "Unrecognized PYTHON_VERSION=$PYTHON_VERSION"
exit 1
;;
esac
# Download all the dependencies required to compile image and video_reader
# extensions
mkdir -p ext_libraries
pushd ext_libraries
popd
export PATH="/opt/python/$python_abi/bin:$(pwd)/ext_libraries/bin:$PATH"
fi
}
# Install with pip a bit more robustly than the default
pip_install() {
retry pip install --progress-bar off "$@"
}
# Install torch with pip, respecting PYTORCH_VERSION, and record the installed
# version into PYTORCH_VERSION, if applicable
setup_pip_pytorch_version() {
if [[ -z "$PYTORCH_VERSION" ]]; then
# Install latest prerelease version of torch, per our nightlies, consistent
# with the requested cuda version
pip_install --pre torch -f "https://download.pytorch.org/whl/nightly/${WHEEL_DIR}torch_nightly.html"
if [[ "$CUDA_VERSION" == "cpu" ]]; then
# CUDA and CPU are ABI compatible on the CPU-only parts, so strip
# in this case
export PYTORCH_VERSION="$(pip show torch | grep ^Version: | sed 's/Version: *//' | sed 's/+.\+//')"
else
export PYTORCH_VERSION="$(pip show torch | grep ^Version: | sed 's/Version: *//')"
fi
else
pip_install "torch==$PYTORCH_VERSION$PYTORCH_VERSION_SUFFIX" \
-f "https://download.pytorch.org/whl/${CU_VERSION}/torch_stable.html" \
-f "https://download.pytorch.org/whl/${UPLOAD_CHANNEL}/${CU_VERSION}/torch_${UPLOAD_CHANNEL}.html"
fi
}
# Fill PYTORCH_VERSION with the latest conda nightly version, and
# CONDA_CHANNEL_FLAGS with appropriate flags to retrieve these versions
#
# You MUST have populated PYTORCH_VERSION_SUFFIX before hand.
setup_conda_pytorch_constraint() {
if [[ -z "$PYTORCH_VERSION" ]]; then
export CONDA_CHANNEL_FLAGS="${CONDA_CHANNEL_FLAGS} -c pytorch-nightly -c pytorch"
PYTHON="python"
# Check if we have python 3 instead and prefer that
if python3 --version >/dev/null 2>/dev/null; then
PYTHON="python3"
fi
export PYTORCH_VERSION="$(conda search --json 'pytorch[channel=pytorch-nightly]' | \
${PYTHON} -c "import os, sys, json, re; cuver = os.environ.get('CU_VERSION'); \
cuver_1 = cuver.replace('cu', 'cuda') if cuver != 'cpu' else cuver; \
cuver_2 = (cuver[:-1] + '.' + cuver[-1]).replace('cu', 'cuda') if cuver != 'cpu' else cuver; \
print(re.sub(r'\\+.*$', '', \
[x['version'] for x in json.load(sys.stdin)['pytorch'] \
if (x['platform'] == 'darwin' or cuver_1 in x['fn'] or cuver_2 in x['fn']) \
and 'py' + os.environ['PYTHON_VERSION'] in x['fn']][-1]))")"
if [[ -z "$PYTORCH_VERSION" ]]; then
echo "PyTorch version auto detection failed"
echo "No package found for CU_VERSION=$CU_VERSION and PYTHON_VERSION=$PYTHON_VERSION"
exit 1
fi
else
export CONDA_CHANNEL_FLAGS="${CONDA_CHANNEL_FLAGS} -c pytorch -c pytorch-${UPLOAD_CHANNEL}"
fi
if [[ "$CU_VERSION" == cpu ]]; then
export CONDA_PYTORCH_BUILD_CONSTRAINT="- pytorch==$PYTORCH_VERSION${PYTORCH_VERSION_SUFFIX}"
export CONDA_PYTORCH_CONSTRAINT="- pytorch==$PYTORCH_VERSION"
else
export CONDA_PYTORCH_BUILD_CONSTRAINT="- pytorch==${PYTORCH_VERSION}${PYTORCH_VERSION_SUFFIX}"
export CONDA_PYTORCH_CONSTRAINT="- pytorch==${PYTORCH_VERSION}${PYTORCH_VERSION_SUFFIX}"
fi
if [[ "$OSTYPE" == msys && "$CU_VERSION" == cu92 ]]; then
export CONDA_CHANNEL_FLAGS="${CONDA_CHANNEL_FLAGS} -c defaults -c numba/label/dev"
fi
}
# Translate CUDA_VERSION into CUDA_CUDATOOLKIT_CONSTRAINT
setup_conda_cudatoolkit_constraint() {
export CONDA_BUILD_VARIANT="cuda"
if [[ "$(uname)" == Darwin ]]; then
export CONDA_BUILD_VARIANT="cpu"
else
case "$CU_VERSION" in
cu121)
export CONDA_CUDATOOLKIT_CONSTRAINT="- pytorch-cuda=12.1 # [not osx]"
;;
cu118)
export CONDA_CUDATOOLKIT_CONSTRAINT="- pytorch-cuda=11.8 # [not osx]"
;;
cu117)
export CONDA_CUDATOOLKIT_CONSTRAINT="- pytorch-cuda=11.7 # [not osx]"
;;
cpu)
export CONDA_CUDATOOLKIT_CONSTRAINT=""
export CONDA_BUILD_VARIANT="cpu"
;;
*)
echo "Unrecognized CU_VERSION=$CU_VERSION"
exit 1
;;
esac
fi
}
setup_conda_cudatoolkit_plain_constraint() {
export CONDA_BUILD_VARIANT="cuda"
export CMAKE_USE_CUDA=1
if [[ "$(uname)" == Darwin ]]; then
export CONDA_BUILD_VARIANT="cpu"
export CMAKE_USE_CUDA=0
else
case "$CU_VERSION" in
cu121)
export CONDA_CUDATOOLKIT_CONSTRAINT="pytorch-cuda=12.1"
;;
cu118)
export CONDA_CUDATOOLKIT_CONSTRAINT="pytorch-cuda=11.8"
;;
cu117)
export CONDA_CUDATOOLKIT_CONSTRAINT="pytorch-cuda=11.7"
;;
cpu)
export CONDA_CUDATOOLKIT_CONSTRAINT=""
export CONDA_BUILD_VARIANT="cpu"
export CMAKE_USE_CUDA=0
;;
*)
echo "Unrecognized CU_VERSION=$CU_VERSION"
exit 1
;;
esac
fi
}
# Build the proper compiler package before building the final package
setup_visual_studio_constraint() {
if [[ "$OSTYPE" == "msys" ]]; then
export VSTOOLCHAIN_PACKAGE=vs$VC_YEAR
conda build $CONDA_CHANNEL_FLAGS --no-anaconda-upload packaging/$VSTOOLCHAIN_PACKAGE
cp packaging/$VSTOOLCHAIN_PACKAGE/conda_build_config.yaml packaging/torchvision/conda_build_config.yaml
fi
}
setup_junit_results_folder() {
if [[ "$CI" == "true" ]]; then
export CONDA_PYTORCH_BUILD_RESULTS_DIRECTORY="${SOURCE_ROOT_DIR}/build_results/results.xml"
fi
}
download_copy_ffmpeg() {
if [[ "$OSTYPE" == "msys" ]]; then
# conda install -yq ffmpeg=4.2 -c pytorch
# curl -L -q https://anaconda.org/pytorch/ffmpeg/4.3/download/win-64/ffmpeg-4.3-ha925a31_0.tar.bz2 --output ffmpeg-4.3-ha925a31_0.tar.bz2
# bzip2 --decompress --stdout ffmpeg-4.3-ha925a31_0.tar.bz2 | tar -x --file=-
# cp Library/bin/*.dll ../torchvision
echo "FFmpeg is disabled currently on Windows"
else
if [[ "$(uname)" == Darwin ]]; then
conda install -yq ffmpeg=4.2 -c pytorch
conda install -yq wget
else
# pushd ext_libraries
# wget -q https://anaconda.org/pytorch/ffmpeg/4.2/download/linux-64/ffmpeg-4.2-hf484d3e_0.tar.bz2
# tar -xjvf ffmpeg-4.2-hf484d3e_0.tar.bz2
# rm -rf ffmpeg-4.2-hf484d3e_0.tar.bz2
# ldconfig
# which ffmpeg
# popd
echo "FFmpeg is disabled currently on Linux"
fi
fi
}
packaging/pre_build_script.sh
View file @ 657027f3
...@@ -13,7 +13,7 @@ fi ...@@ -13,7 +13,7 @@ fi
if [[ "$(uname)" == Darwin || "$OSTYPE" == "msys" ]]; then if [[ "$(uname)" == Darwin || "$OSTYPE" == "msys" ]]; then
# Install libpng from Anaconda (defaults) # Install libpng from Anaconda (defaults)
conda install ${CONDA_CHANNEL_FLAGS} libpng "jpeg<=9b" -y conda install libpng "jpeg<=9b" -yq
conda install -yq ffmpeg=4.2 -c pytorch conda install -yq ffmpeg=4.2 -c pytorch
# Copy binaries to be included in the wheel distribution # Copy binaries to be included in the wheel distribution
......
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