mirror of
https://github.com/saymrwulf/onnxruntime.git
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1. Update manylinux build scripts. This will add [PEP600](https://www.python.org/dev/peps/pep-0600/)(manylinux2 tags) support. numpy has adopted this new feature, we should do the same. The old build script files were copied from https://github.com/pypa/manylinux, but they has been deleted and replaced in the upstream repo. The manylinux repo doesn't have a manylinux2014 branch anymore. So I'm removing the obsolete code, sync the files with the latest master. 2. Update GPU CUDA version from 11.0 to 11.1(after a discussion with PMs). 3. Delete tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_cuda10_2. (Merged the content to tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_cuda11) 4. Modernize the cmake code of how to locate python devel files. It was suggested in https://github.com/onnx/onnx/pull/1631 . 5. Remove `onnxruntime_MSVC_STATIC_RUNTIME` and `onnxruntime_GCC_STATIC_CPP_RUNTIME` build options. Now cmake has builtin support for it. Starting from cmake 3.15, we can use `CMAKE_MSVC_RUNTIME_LIBRARY` cmake variable to choose which MSVC runtime library we want to use. 6. Update Ubuntu docker images that used in our CI build from Ubuntu 18.04 to Ubuntu 20.04. 7. Update GCC version in CUDA 11.1 pipelines from 8.x to 9.3.1 8. Split Linux GPU CI pipeline to two jobs: build the code on a CPU machine then run the tests on another GPU machines. In the past we didn't test our python packages. We only tested the pre-packed files. So we didn't catch the rpath issue in CI build. 9. Add a CentOS machine pool and test our Linux GPU build on real CentOS machines. 10. Rework ARM64 Linux GPU python packaging pipeline. Previously it uses cross-compiling therefore we must static link to C Runtime. But now have pluggable EP API and it doesn't support static link. So I changed to use qemu emulation instead. Now the build is 10x slower than before. But it is more extensible.
155 lines
7.5 KiB
Bash
Executable file
155 lines
7.5 KiB
Bash
Executable file
#!/bin/bash
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set -e -o -x
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id
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SCRIPT_DIR="$( dirname "${BASH_SOURCE[0]}" )"
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SOURCE_ROOT=$(realpath $SCRIPT_DIR/../../../../)
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YOCTO_VERSION="4.19"
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INSTALL_DEPS_DISTRIBUTED_SETUP=false
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ORTMODULE_BUILD=false
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USE_CONDA=false
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ALLOW_RELEASED_ONNX_OPSET_ONLY_ENV="ALLOW_RELEASED_ONNX_OPSET_ONLY="$ALLOW_RELEASED_ONNX_OPSET_ONLY
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echo "ALLOW_RELEASED_ONNX_OPSET_ONLY environment variable is set as "$ALLOW_RELEASED_ONNX_OPSET_ONLY_ENV
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while getopts c:o:d:r:p:x:a:v:y:t:i:mue parameter_Option
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do case "${parameter_Option}"
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in
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#android, ubuntu16.04, ubuntu18.04, CentOS7
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o) BUILD_OS=${OPTARG};;
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#cpu, gpu, tensorrt
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d) BUILD_DEVICE=${OPTARG};;
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r) BUILD_DIR=${OPTARG};;
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#python version: 3.6 3.7 (absence means default 3.6)
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p) PYTHON_VER=${OPTARG};;
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# "--build_wheel --use_openblas"
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x) BUILD_EXTR_PAR=${OPTARG};;
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# x86 or other, only for ubuntu16.04 os
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a) BUILD_ARCH=${OPTARG};;
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# openvino version tag: 2020.3 (OpenVINO EP 2.0 supports version starting 2020.3)
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v) OPENVINO_VERSION=${OPTARG};;
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# YOCTO 4.19 + ACL 19.05, YOCTO 4.14 + ACL 19.02
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y) YOCTO_VERSION=${OPTARG};;
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# an additional name for the resulting docker image (created with "docker tag")
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# this is useful for referencing the image outside of this script
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t) EXTRA_IMAGE_TAG=${OPTARG};;
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# the docker image cache container registry
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i) IMAGE_CACHE_CONTAINER_REGISTRY_NAME=${OPTARG};;
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# install distributed setup dependencies
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m) INSTALL_DEPS_DISTRIBUTED_SETUP=true;;
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# install ortmodule specific dependencies
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u) ORTMODULE_BUILD=true;;
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# install and use conda
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e) USE_CONDA=true;;
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esac
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done
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EXIT_CODE=1
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PYTHON_VER=${PYTHON_VER:=3.6}
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echo "bo=$BUILD_OS bd=$BUILD_DEVICE bdir=$BUILD_DIR pv=$PYTHON_VER bex=$BUILD_EXTR_PAR"
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GET_DOCKER_IMAGE_CMD="${SOURCE_ROOT}/tools/ci_build/get_docker_image.py"
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if [[ -n "${IMAGE_CACHE_CONTAINER_REGISTRY_NAME}" ]]; then
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GET_DOCKER_IMAGE_CMD="${GET_DOCKER_IMAGE_CMD} --container-registry ${IMAGE_CACHE_CONTAINER_REGISTRY_NAME}"
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fi
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DOCKER_CMD="docker"
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cd $SCRIPT_DIR/docker
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if [ $BUILD_OS = "android" ]; then
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IMAGE="android"
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DOCKER_FILE=Dockerfile.ubuntu_for_android
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$GET_DOCKER_IMAGE_CMD --repository "onnxruntime-$IMAGE" \
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--docker-build-args="--build-arg BUILD_USER=onnxruntimedev --build-arg BUILD_UID=$(id -u) --build-arg PYTHON_VERSION=${PYTHON_VER}" \
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--dockerfile $DOCKER_FILE --context .
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elif [ $BUILD_OS = "centos7" ]; then
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IMAGE="centos7"
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DOCKER_FILE=Dockerfile.centos
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$GET_DOCKER_IMAGE_CMD --repository "onnxruntime-$IMAGE" \
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--docker-build-args="--build-arg BUILD_USER=onnxruntimedev --build-arg BUILD_UID=$(id -u) --build-arg PYTHON_VERSION=${PYTHON_VER}" \
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--dockerfile $DOCKER_FILE --context .
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elif [ $BUILD_OS = "yocto" ]; then
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IMAGE="arm-yocto-$YOCTO_VERSION"
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DOCKER_FILE=Dockerfile.ubuntu_for_arm
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# ACL 19.05 need yocto 4.19
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TOOL_CHAIN_SCRIPT=fsl-imx-xwayland-glibc-x86_64-fsl-image-qt5-aarch64-toolchain-4.19-warrior.sh
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if [ $YOCTO_VERSION = "4.14" ]; then
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TOOL_CHAIN_SCRIPT=fsl-imx-xwayland-glibc-x86_64-fsl-image-qt5-aarch64-toolchain-4.14-sumo.sh
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fi
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$GET_DOCKER_IMAGE_CMD --repository "onnxruntime-$IMAGE" \
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--docker-build-args="--build-arg TOOL_CHAIN=$TOOL_CHAIN_SCRIPT --build-arg BUILD_USER=onnxruntimedev --build-arg BUILD_UID=$(id -u) --build-arg PYTHON_VERSION=${PYTHON_VER}" \
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--dockerfile $DOCKER_FILE --context .
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else
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if [ $BUILD_DEVICE = "gpu" ]; then
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#This code path is only for training. Inferecing pipeline uses CentOS
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IMAGE="ubuntu_gpu_training"
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INSTALL_DEPS_EXTRA_ARGS="${INSTALL_DEPS_EXTRA_ARGS} -t"
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if [[ $INSTALL_DEPS_DISTRIBUTED_SETUP = true ]]; then
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INSTALL_DEPS_EXTRA_ARGS="${INSTALL_DEPS_EXTRA_ARGS} -m"
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fi
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if [[ $ORTMODULE_BUILD = true ]]; then
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INSTALL_DEPS_EXTRA_ARGS="${INSTALL_DEPS_EXTRA_ARGS} -u"
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fi
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$GET_DOCKER_IMAGE_CMD --repository "onnxruntime-$IMAGE" \
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--docker-build-args="--build-arg BUILD_USER=onnxruntimedev --build-arg BUILD_UID=$(id -u) --build-arg PYTHON_VERSION=${PYTHON_VER} --build-arg INSTALL_DEPS_EXTRA_ARGS=\"${INSTALL_DEPS_EXTRA_ARGS}\" --build-arg USE_CONDA=${USE_CONDA} --network=host --build-arg POLICY=manylinux2014 --build-arg PLATFORM=x86_64 --build-arg DEVTOOLSET_ROOTPATH=/opt/rh/devtoolset-9/root --build-arg PREPEND_PATH=/opt/rh/devtoolset-9/root/usr/bin: --build-arg LD_LIBRARY_PATH_ARG=/opt/rh/devtoolset-9/root/usr/lib64:/opt/rh/devtoolset-9/root/usr/lib:/opt/rh/devtoolset-9/root/usr/lib64/dyninst:/opt/rh/devtoolset-9/root/usr/lib/dyninst:/usr/local/lib64" \
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--dockerfile Dockerfile.ubuntu_gpu_training --context .
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elif [ $BUILD_DEVICE = "tensorrt" ]; then
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# TensorRT container release 20.12
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IMAGE="$BUILD_OS-cuda11.1-cudnn8.0-tensorrt7.2"
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DOCKER_FILE=Dockerfile.ubuntu_tensorrt
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$GET_DOCKER_IMAGE_CMD --repository "onnxruntime-$IMAGE" \
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--docker-build-args="--build-arg BUILD_USER=onnxruntimedev --build-arg BUILD_UID=$(id -u) --build-arg PYTHON_VERSION=${PYTHON_VER} --network=host --build-arg POLICY=manylinux2014 --build-arg PLATFORM=x86_64 --build-arg DEVTOOLSET_ROOTPATH=/opt/rh/devtoolset-9/root --build-arg PREPEND_PATH=/opt/rh/devtoolset-9/root/usr/bin: --build-arg LD_LIBRARY_PATH_ARG=/opt/rh/devtoolset-9/root/usr/lib64:/opt/rh/devtoolset-9/root/usr/lib:/opt/rh/devtoolset-9/root/usr/lib64/dyninst:/opt/rh/devtoolset-9/root/usr/lib/dyninst:/usr/local/lib64" \
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--dockerfile $DOCKER_FILE --context .
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elif [ $BUILD_DEVICE = "openvino" ]; then
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IMAGE="$BUILD_OS-openvino"
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DOCKER_FILE=Dockerfile.ubuntu_openvino
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$GET_DOCKER_IMAGE_CMD --repository "onnxruntime-$IMAGE" \
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--docker-build-args="--build-arg BUILD_USER=onnxruntimedev --build-arg BUILD_UID=$(id -u) --build-arg PYTHON_VERSION=${PYTHON_VER} --build-arg OPENVINO_VERSION=${OPENVINO_VERSION}" \
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--dockerfile $DOCKER_FILE --context .
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else
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IMAGE="$BUILD_OS"
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$GET_DOCKER_IMAGE_CMD --repository "onnxruntime-$IMAGE" \
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--docker-build-args="--build-arg BUILD_USER=onnxruntimedev --build-arg BUILD_UID=$(id -u) --build-arg PYTHON_VERSION=${PYTHON_VER}" \
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--dockerfile Dockerfile.ubuntu --context .
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fi
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fi
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if [ -v EXTRA_IMAGE_TAG ]; then
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${DOCKER_CMD} tag "onnxruntime-$IMAGE" "${EXTRA_IMAGE_TAG}"
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fi
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set +e
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mkdir -p ~/.cache/onnxruntime
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mkdir -p ~/.onnx
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if [ -z "$NIGHTLY_BUILD" ]; then
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set NIGHTLY_BUILD=0
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fi
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if [ $BUILD_DEVICE = "cpu" ] || [ $BUILD_DEVICE = "openvino" ] || [ $BUILD_DEVICE = "nnapi" ] || [ $BUILD_DEVICE = "arm" ]; then
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RUNTIME=
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else
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RUNTIME="--gpus all"
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fi
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DOCKER_RUN_PARAMETER="--name onnxruntime-$BUILD_DEVICE \
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--volume $SOURCE_ROOT:/onnxruntime_src \
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--volume $BUILD_DIR:/build \
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--volume /data/models:/build/models:ro \
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--volume /data/onnx:/data/onnx:ro \
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--volume $HOME/.cache/onnxruntime:/home/onnxruntimedev/.cache/onnxruntime \
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--volume $HOME/.onnx:/home/onnxruntimedev/.onnx"
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if [ $BUILD_DEVICE = "openvino" ] && [[ $BUILD_EXTR_PAR == *"--use_openvino GPU_FP"* ]]; then
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DOCKER_RUN_PARAMETER="$DOCKER_RUN_PARAMETER --device /dev/dri:/dev/dri"
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fi
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$DOCKER_CMD rm -f "onnxruntime-$BUILD_DEVICE" || true
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$DOCKER_CMD run $RUNTIME -h $HOSTNAME $DOCKER_RUN_PARAMETER \
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-e NIGHTLY_BUILD \
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-e $ALLOW_RELEASED_ONNX_OPSET_ONLY_ENV \
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"onnxruntime-$IMAGE" \
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/bin/bash /onnxruntime_src/tools/ci_build/github/linux/run_build.sh \
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-d $BUILD_DEVICE -x "$BUILD_EXTR_PAR" -o $BUILD_OS -y $YOCTO_VERSION &
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wait $!
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EXIT_CODE=$?
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set -e
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exit $EXIT_CODE
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