mirror of
https://github.com/saymrwulf/onnxruntime.git
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1. Add openvino GPU nightly build pipeline, this test is running on Intel Up square Edge device. The device are host locally not from Azure VM. We persist a smaller model test data on Edge device. 2. Update the build condition for openvino GPU so it works for GPU_FP32, GPU_FP16 3. add option to install_ubuntu.sh to exclude the package used for nuphar, so that we can save some disk space as the Edge device usually have limited disk space.
108 lines
4.3 KiB
Bash
Executable file
108 lines
4.3 KiB
Bash
Executable file
#!/bin/bash
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set -e -o -x
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SCRIPT_DIR="$( dirname "${BASH_SOURCE[0]}" )"
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SOURCE_ROOT=$(realpath $SCRIPT_DIR/../../../../)
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CUDA_VER=cuda10.0-cudnn7.3
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while getopts c:o:d:r:p:x:a:v: parameter_Option
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do case "${parameter_Option}"
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in
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#android, ubuntu16.04, manylinux2010
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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=${OPTARG};;
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#python version: 3.6 3.7 (absence means default 3.5)
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p) PYTHON_VER=${OPTARG};;
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# "--build_wheel --use_openblas"
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x) BUILD_EXTR_PAR=${OPTARG};;
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# "cuda10.0-cudnn7.3, cuda9.1-cudnn7.1"
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c) CUDA_VER=${OPTARG};;
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# x86 or other, only for ubuntu16.04 os
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a) BUILD_ARCH=${OPTARG};;
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# openvino version tag: 2018_R5, 2019_R1.1 (Default is 2019_R1.1)
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v) OPENVINO_VERSION=${OPTARG};;
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esac
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done
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EXIT_CODE=1
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PYTHON_VER=${PYTHON_VER:=3.5}
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echo "bo=$BUILD_OS bd=$BUILD_DEVICE bdir=$BUILD_DIR pv=$PYTHON_VER bex=$BUILD_EXTR_PAR"
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cd $SCRIPT_DIR/docker
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if [ $BUILD_OS = "android" ]; then
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IMAGE="android"
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DOCKER_FILE=Dockerfile.ubuntu_for_android
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docker build -t "onnxruntime-$IMAGE" --build-arg BUILD_USER=onnxruntimedev --build-arg BUILD_UID=$(id -u) --build-arg PYTHON_VERSION=${PYTHON_VER} -f $DOCKER_FILE .
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elif [ $BUILD_OS = "manylinux2010" ]; then
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if [ $BUILD_DEVICE = "gpu" ]; then
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IMAGE="manylinux2010-cuda10.1"
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DOCKER_FILE=Dockerfile.manylinux2010_gpu
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else
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IMAGE="manylinux2010"
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DOCKER_FILE=Dockerfile.manylinux2010
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fi
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docker build -t "onnxruntime-$IMAGE" --build-arg BUILD_USER=onnxruntimedev --build-arg BUILD_UID=$(id -u) --build-arg PYTHON_VERSION=${PYTHON_VER} -f $DOCKER_FILE .
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else
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if [ $BUILD_DEVICE = "gpu" ]; then
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IMAGE="ubuntu16.04-$CUDA_VER"
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DOCKER_FILE=Dockerfile.ubuntu_gpu
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if [ $CUDA_VER = "cuda9.1-cudnn7.1" ]; then
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DOCKER_FILE=Dockerfile.ubuntu_gpu_cuda9
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fi
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docker build -t "onnxruntime-$IMAGE" --build-arg BUILD_USER=onnxruntimedev --build-arg BUILD_UID=$(id -u) --build-arg PYTHON_VERSION=${PYTHON_VER} -f $DOCKER_FILE .
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elif [ $BUILD_DEVICE = "tensorrt" ]; then
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IMAGE="ubuntu16.04-cuda10.0-cudnn7.4-tensorrt5.0"
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DOCKER_FILE=Dockerfile.ubuntu_tensorrt
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docker build -t "onnxruntime-$IMAGE" --build-arg BUILD_USER=onnxruntimedev --build-arg BUILD_UID=$(id -u) --build-arg PYTHON_VERSION=${PYTHON_VER} -f $DOCKER_FILE .
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elif [ $BUILD_DEVICE = "openvino" ]; then
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IMAGE="ubuntu16.04-openvino"
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DOCKER_FILE=Dockerfile.ubuntu_openvino
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docker build -t "onnxruntime-$IMAGE" --build-arg BUILD_USER=onnxruntimedev --build-arg BUILD_UID=$(id -u) --build-arg OS_VERSION=16.04 --build-arg PYTHON_VERSION=${PYTHON_VER} --build-arg OPENVINO_VERSION=${OPENVINO_VERSION} -f $DOCKER_FILE .
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else
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IMAGE="ubuntu16.04"
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if [ $BUILD_ARCH = "x86" ]; then
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IMAGE="$IMAGE.x86"
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docker build -t "onnxruntime-$IMAGE" --build-arg BUILD_USER=onnxruntimedev --build-arg BUILD_UID=$(id -u) --build-arg OS_VERSION=16.04 --build-arg PYTHON_VERSION=${PYTHON_VER} -f Dockerfile.ubuntu_x86 .
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else
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docker build -t "onnxruntime-$IMAGE" --build-arg BUILD_USER=onnxruntimedev --build-arg BUILD_UID=$(id -u) --build-arg OS_VERSION=16.04 --build-arg PYTHON_VERSION=${PYTHON_VER} -f Dockerfile.ubuntu .
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fi
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fi
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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 = "ngraph" ] || [ $BUILD_DEVICE = "openvino" ] || [ $BUILD_DEVICE = "nnapi" ]; then
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RUNTIME=
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else
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RUNTIME="--runtime=nvidia"
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fi
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DOCKER_RUN_PARAMETER="--name onnxruntime-$BUILD_DEVICE \
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--volume $SOURCE_ROOT:/onnxruntime_src \
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--volume $BUILD_DIR:/build \
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--volume $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 rm -f "onnxruntime-$BUILD_DEVICE" || true
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docker run $RUNTIME -h $HOSTNAME $DOCKER_RUN_PARAMETER \
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-e NIGHTLY_BUILD \
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"onnxruntime-$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 &
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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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