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https://github.com/saymrwulf/onnxruntime.git
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### Description <!-- Describe your changes. --> * Remove deprecated gpu arch to control nuget/python package size (latest TRT supports sm75 Turing and newer arch) * Add 90 to support blackwell series in next release (86;89 not considered as adding them will rapidly increase package size) | arch_range | Python-cuda12 | Nuget-cuda12 | | -------------- | ------------------------------------------------------------ | ---------------------------------- | | 60;61;70;75;80 | Linux: 279MB Win: 267MB | Linux: 247MB Win: 235MB | | 75;80 | Linux: 174MB Win: 162MB | Linux: 168MB Win: 156MB | | **75;80;90** | **Linux: 299MB Win: 277MB** | **Linux: 294MB Win: 271MB** | | 75;80;86;89 | [Linux: MB Win: 390MB](https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=647457&view=results) | Linux: 416MB Win: 383MB | | 75;80;86;89;90 | [Linux: MB Win: 505MB](https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=646536&view=results) | Linux: 541MB Win: 498MB | ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Callout: While adding sm90 support, the build of cuda11.8+cudnn8 will be dropped in the coming ORT release, as the build has issue with blackwell (mentioned in comments) and demand on cuda 11 is minor, according to internal ort-cuda11 repo.
97 lines
3 KiB
Bash
Executable file
97 lines
3 KiB
Bash
Executable file
#!/bin/bash
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set -e -x
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# This script invokes build.py
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mkdir -p /build/dist
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EXTRA_ARG=""
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ENABLE_CACHE=false
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# Put 3.10 at the last because Ubuntu 22.04 use python 3.10 and we will upload the intermediate build files of this
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# config to Azure DevOps Artifacts and download them to a Ubuntu 22.04 machine to run the tests.
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PYTHON_EXES=(
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"/opt/python/cp311-cp311/bin/python3.11"
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"/opt/python/cp312-cp312/bin/python3.12"
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"/opt/python/cp313-cp313/bin/python3.13"
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"/opt/python/cp313-cp313t/bin/python3.13t"
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"/opt/python/cp310-cp310/bin/python3.10"
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)
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while getopts "d:p:x:c:e" parameter_Option
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do case "${parameter_Option}"
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in
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#GPU|CPU|NPU.
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d) BUILD_DEVICE=${OPTARG};;
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p)
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# Check if OPTARG is empty or starts with a hyphen, indicating a missing or invalid argument for -p
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if [[ -z "${OPTARG}" || "${OPTARG}" == -* ]]; then
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echo "ERROR: Option -p requires a valid argument, not another option."
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exit 1
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else
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PYTHON_EXES=("${OPTARG}") # Use the provided argument for -p
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fi
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;;
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x) EXTRA_ARG=${OPTARG};;
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c) BUILD_CONFIG=${OPTARG};;
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e) ENABLE_CACHE=true;;
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*) echo "Usage: $0 -d <GPU|CPU|NPU> [-p <python_exe_path>] [-x <extra_build_arg>] [-c <build_config>]"
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exit 1;;
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esac
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done
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BUILD_ARGS=("--build_dir" "/build" "--config" "$BUILD_CONFIG" "--update" "--build" "--skip_submodule_sync" "--parallel" "--use_binskim_compliant_compile_flags" "--build_wheel")
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if [ "$BUILD_CONFIG" != "Debug" ]; then
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BUILD_ARGS+=("--enable_lto")
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fi
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if [ "$ENABLE_CACHE" = true ] ; then
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BUILD_ARGS+=("--use_cache")
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ccache -s;
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fi
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ARCH=$(uname -m)
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echo "EXTRA_ARG:"
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echo "$EXTRA_ARG"
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if [ "$EXTRA_ARG" != "" ]; then
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BUILD_ARGS+=("$EXTRA_ARG")
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fi
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if [ "$ARCH" == "x86_64" ]; then
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#ARM build machines do not have the test data yet.
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BUILD_ARGS+=("--enable_onnx_tests")
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fi
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if [ "$BUILD_DEVICE" == "GPU" ]; then
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SHORT_CUDA_VERSION=$(echo $CUDA_VERSION | sed 's/\([[:digit:]]\+\.[[:digit:]]\+\)\.[[:digit:]]\+/\1/')
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#Enable CUDA and TRT EPs.
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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-$SHORT_CUDA_VERSION" "--cmake_extra_defines" "CMAKE_CUDA_ARCHITECTURES=75;80;90")
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fi
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if [ "$BUILD_DEVICE" == "NPU" ]; then
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#Enable QNN EP
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BUILD_ARGS+=("--use_qnn" "--qnn_home=/qnn_sdk")
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fi
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export ONNX_ML=1
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export CMAKE_ARGS="-DONNX_GEN_PB_TYPE_STUBS=ON -DONNX_WERROR=OFF"
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for PYTHON_EXE in "${PYTHON_EXES[@]}"
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do
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rm -rf /build/"$BUILD_CONFIG"
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# that's a workaround for the issue that there's no python3 in the docker image
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# like xnnpack's cmakefile, it uses pythone3 to run a external command
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python3_dir=$(dirname "$PYTHON_EXE")
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${PYTHON_EXE} -m pip install -r /onnxruntime_src/tools/ci_build/github/linux/python/requirements.txt
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PATH=$python3_dir:$PATH ${PYTHON_EXE} /onnxruntime_src/tools/ci_build/build.py "${BUILD_ARGS[@]}"
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cp /build/"$BUILD_CONFIG"/dist/*.whl /build/dist
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done
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if [ "$ENABLE_CACHE" = true ] ; then
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which ccache && ccache -sv && ccache -z
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fi
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