mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-05-15 20:50:42 +00:00
f048fc5fb0
* cross compile x86 linux * fix comments * install multilib for ubuntu cross compile * remove tailing slash * fix -fPIC relocations for x86 target too * add asm make flag * fix x86 compile err * test x86 with zlib and png * Disable zlib from x86 * install x86 python header * remove cross-compiling changes * test 32bit ubuntu * add x86 ubuntu docker file * add x86 as arch parametr for docker build * config pipeline * avoid dotnet install * install cmake * skip dep install * use latest ubuntu * install latest cmake * install x86 deps * configure cmake * install ninja * correct ninja dir * apt get re2c * install onnx * set processor x86 * disable warning * skip test * disable test * disable test * find lib * fix typo * restore test * disable backend model test * disable test * fix test err * stop installing onnx * disable onnx test on x86 * restore yml * mergef with master yml * cancel needless config setting * enable x86 flag * restore all onnx tests * fix yml typo * install onnx * add back x86 flag * disable cases * disable case * disable cases * add macro to disable cases * fix typo * print platform * remove condition
77 lines
2.6 KiB
Bash
Executable file
77 lines
2.6 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 $SCRIPT_DIR/../../../../)
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CUDA_VER=cuda10.0-cudnn7.3
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while getopts c:o:d:r:p:x:a: parameter_Option
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do case "${parameter_Option}"
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in
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#ubuntu16.04
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o) BUILD_OS=${OPTARG};;
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#cpu, gpu
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d) BUILD_DEVICE=${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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a) BUILD_ARCH=${OPTARG};;
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esac
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done
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EXIT_CODE=1
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echo "bo=$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 [ $BUILD_DEVICE = "gpu" ]; then
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IMAGE="ubuntu16.04-$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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else
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IMAGE="ubuntu16.04"
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if [ $BUILD_ARCH = "x86" ]; then
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docker build -t "onnxruntime-$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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set +e
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if [ $BUILD_DEVICE = "cpu" ]; then
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docker rm -f "onnxruntime-$BUILD_DEVICE" || true
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docker run -h $HOSTNAME \
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--rm \
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--name "onnxruntime-$BUILD_DEVICE" \
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--volume "$SOURCE_ROOT:/onnxruntime_src" \
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--volume "$BUILD_DIR:/home/onnxruntimedev" \
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--volume "$HOME/.cache/onnxruntime:/home/onnxruntimedev/.cache/onnxruntime" \
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"onnxruntime-$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" &
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else
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docker rm -f "onnxruntime-$BUILD_DEVICE" || true
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nvidia-docker run --rm -h $HOSTNAME \
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--rm \
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--name "onnxruntime-$BUILD_DEVICE" \
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--volume "$SOURCE_ROOT:/onnxruntime_src" \
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--volume "$BUILD_DIR:/home/onnxruntimedev" \
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--volume "$HOME/.cache/onnxruntime:/home/onnxruntimedev/.cache/onnxruntime" \
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"onnxruntime-$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" &
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fi
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wait -n
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EXIT_CODE=$?
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set -e
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exit $EXIT_CODE
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