onnxruntime/tools/ci_build/github/linux/build_linux_python_package.sh
Jian Chen f423b737a9
Fix Linux python CUDA package pipeline (#22803)
### Description
Making ::p optional in the Linux python CUDA package pipeline



### Motivation and Context
Linux stage from Python-CUDA-Packaging-Pipeline has failed since merge
of #22773
2024-11-13 14:20:21 -08:00

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#!/bin/bash
set -e -x
# This script invokes build.py
mkdir -p /build/dist
EXTRA_ARG=""
ENABLE_CACHE=false
# Put 3.10 at the last because Ubuntu 22.04 use python 3.10 and we will upload the intermediate build files of this
# config to Azure DevOps Artifacts and download them to a Ubuntu 22.04 machine to run the tests.
PYTHON_EXES=(
"/opt/python/cp311-cp311/bin/python3.11"
"/opt/python/cp312-cp312/bin/python3.12"
"/opt/python/cp313-cp313/bin/python3.13"
"/opt/python/cp313-cp313t/bin/python3.13t"
"/opt/python/cp310-cp310/bin/python3.10"
)
while getopts "d:p:x:c:e" parameter_Option
do case "${parameter_Option}"
in
#GPU|CPU|NPU.
d) BUILD_DEVICE=${OPTARG};;
p)
# Check if OPTARG is empty or starts with a hyphen, indicating a missing or invalid argument for -p
if [[ -z "${OPTARG}" || "${OPTARG}" == -* ]]; then
echo "ERROR: Option -p requires a valid argument, not another option."
exit 1
else
PYTHON_EXES=("${OPTARG}") # Use the provided argument for -p
fi
;;
x) EXTRA_ARG=${OPTARG};;
c) BUILD_CONFIG=${OPTARG};;
e) ENABLE_CACHE=true;;
*) echo "Usage: $0 -d <GPU|CPU|NPU> [-p <python_exe_path>] [-x <extra_build_arg>] [-c <build_config>]"
exit 1;;
esac
done
BUILD_ARGS=("--build_dir" "/build" "--config" "$BUILD_CONFIG" "--update" "--build" "--skip_submodule_sync" "--parallel" "--use_binskim_compliant_compile_flags" "--build_wheel")
if [ "$BUILD_CONFIG" != "Debug" ]; then
BUILD_ARGS+=("--enable_lto")
fi
if [ "$ENABLE_CACHE" = true ] ; then
BUILD_ARGS+=("--use_cache")
# No release binary for ccache aarch64, so we need to build it from source.
if ! [ -x "$(command -v ccache)" ]; then
ccache_url="https://github.com/ccache/ccache/archive/refs/tags/v4.8.tar.gz"
cd /build
curl -sSL --retry 5 --retry-delay 10 --create-dirs --fail -L -o ccache_src.tar.gz $ccache_url
mkdir ccache_main
cd ccache_main
tar -zxf ../ccache_src.tar.gz --strip=1
mkdir build
cd build
cmake -DCMAKE_INSTALL_PREFIX=/build -DCMAKE_BUILD_TYPE=Release ..
make -j$(nproc)
make install
export PATH=/build/bin:$PATH
which ccache
rm -f ccache_src.tar.gz
rm -rf ccache_src
fi
ccache -s;
fi
ARCH=$(uname -m)
echo "EXTRA_ARG:"
echo "$EXTRA_ARG"
if [ "$EXTRA_ARG" != "" ]; then
BUILD_ARGS+=("$EXTRA_ARG")
fi
if [ "$ARCH" == "x86_64" ]; then
#ARM build machines do not have the test data yet.
BUILD_ARGS+=("--enable_onnx_tests")
fi
if [ "$BUILD_DEVICE" == "GPU" ]; then
SHORT_CUDA_VERSION=$(echo $CUDA_VERSION | sed 's/\([[:digit:]]\+\.[[:digit:]]\+\)\.[[:digit:]]\+/\1/')
#Enable CUDA and TRT EPs.
BUILD_ARGS+=("--use_cuda" "--use_tensorrt" "--cuda_version=$SHORT_CUDA_VERSION" "--tensorrt_home=/usr" "--cuda_home=/usr/local/cuda-$SHORT_CUDA_VERSION" "--cudnn_home=/usr/local/cuda-$SHORT_CUDA_VERSION" "--cmake_extra_defines" "CMAKE_CUDA_ARCHITECTURES=52;60;61;70;75;80")
fi
if [ "$BUILD_DEVICE" == "NPU" ]; then
#Enable QNN EP
BUILD_ARGS+=("--use_qnn" "--qnn_home=/qnn_sdk")
fi
export ONNX_ML=1
export CMAKE_ARGS="-DONNX_GEN_PB_TYPE_STUBS=ON -DONNX_WERROR=OFF"
for PYTHON_EXE in "${PYTHON_EXES[@]}"
do
rm -rf /build/"$BUILD_CONFIG"
# that's a workaround for the issue that there's no python3 in the docker image
# like xnnpack's cmakefile, it uses pythone3 to run a external command
python3_dir=$(dirname "$PYTHON_EXE")
${PYTHON_EXE} -m pip install -r /onnxruntime_src/tools/ci_build/github/linux/python/requirements.txt
PATH=$python3_dir:$PATH ${PYTHON_EXE} /onnxruntime_src/tools/ci_build/build.py "${BUILD_ARGS[@]}"
cp /build/"$BUILD_CONFIG"/dist/*.whl /build/dist
done
if [ "$ENABLE_CACHE" = true ] ; then
which ccache && ccache -sv && ccache -z
fi