onnxruntime/tools/ci_build/github/linux/run_dockerbuild.sh
nivas-x86 a4d7052aeb Add nGraph Execution Provider (#832)
* Add nGraph Execution Provider

* feedback changes 1

* feedback2

* Feedback and upgrade nGraph

* Feedback 4

* Fix CI

* Disable new ops
2019-04-20 17:02:35 -07:00

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#!/bin/bash
set -e -o -x
SCRIPT_DIR="$( dirname "${BASH_SOURCE[0]}" )"
SOURCE_ROOT=$(realpath $SCRIPT_DIR/../../../../)
CUDA_VER=cuda10.0-cudnn7.3
while getopts c:o:d:r:p:x:a: parameter_Option
do case "${parameter_Option}"
in
#android, ubuntu16.04
o) BUILD_OS=${OPTARG};;
#cpu, gpu, tensorrt
d) BUILD_DEVICE=${OPTARG};;
r) BUILD_DIR=${OPTARG};;
#python version: 3.6 3.7 (absence means default 3.5)
p) PYTHON_VER=${OPTARG};;
# "--build_wheel --use_openblas"
x) BUILD_EXTR_PAR=${OPTARG};;
# "cuda10.0-cudnn7.3, cuda9.1-cudnn7.1"
c) CUDA_VER=${OPTARG};;
# x86 or other, only for ubuntu16.04 os
a) BUILD_ARCH=${OPTARG};;
esac
done
EXIT_CODE=1
echo "bo=$BUILD_OS bd=$BUILD_DEVICE bdir=$BUILD_DIR pv=$PYTHON_VER bex=$BUILD_EXTR_PAR"
cd $SCRIPT_DIR/docker
if [ $BUILD_OS = "android" ]; then
IMAGE="android"
DOCKER_FILE=Dockerfile.ubuntu_for_android
docker build -t "onnxruntime-$IMAGE" --build-arg BUILD_USER=onnxruntimedev --build-arg BUILD_UID=$(id -u) --build-arg PYTHON_VERSION=${PYTHON_VER} -f $DOCKER_FILE .
else
if [ $BUILD_DEVICE = "gpu" ]; then
IMAGE="ubuntu16.04-$CUDA_VER"
DOCKER_FILE=Dockerfile.ubuntu_gpu
if [ $CUDA_VER = "cuda9.1-cudnn7.1" ]; then
DOCKER_FILE=Dockerfile.ubuntu_gpu_cuda9
fi
docker build -t "onnxruntime-$IMAGE" --build-arg BUILD_USER=onnxruntimedev --build-arg BUILD_UID=$(id -u) --build-arg PYTHON_VERSION=${PYTHON_VER} -f $DOCKER_FILE .
elif [ $BUILD_DEVICE = "tensorrt" ]; then
IMAGE="ubuntu16.04-cuda10.0-cudnn7.4-tensorrt5.0"
DOCKER_FILE=Dockerfile.ubuntu_tensorrt
docker build -t "onnxruntime-$IMAGE" --build-arg BUILD_USER=onnxruntimedev --build-arg BUILD_UID=$(id -u) --build-arg PYTHON_VERSION=${PYTHON_VER} -f $DOCKER_FILE .
else
IMAGE="ubuntu16.04"
if [ $BUILD_ARCH = "x86" ]; then
docker build -t "onnxruntime-$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 .
else
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=${PYTHON_VER} -f Dockerfile.ubuntu .
fi
fi
fi
set +e
mkdir -p ~/.cache/onnxruntime
mkdir -p ~/.onnx
if [ -z "$NIGHTLY_BUILD" ]; then
set NIGHTLY_BUILD=0
fi
if [ $BUILD_DEVICE = "cpu" ] || [ $BUILD_DEVICE = "ngraph" ]; then
docker rm -f "onnxruntime-$BUILD_DEVICE" || true
docker run -h $HOSTNAME \
--name "onnxruntime-$BUILD_DEVICE" \
--volume "$SOURCE_ROOT:/onnxruntime_src" \
--volume "$BUILD_DIR:/build" \
--volume "$HOME/.cache/onnxruntime:/home/onnxruntimedev/.cache/onnxruntime" \
--volume "$HOME/.onnx:/home/onnxruntimedev/.onnx" \
-e NIGHTLY_BUILD \
"onnxruntime-$IMAGE" \
/bin/bash /onnxruntime_src/tools/ci_build/github/linux/run_build.sh \
-d $BUILD_DEVICE -x "$BUILD_EXTR_PAR" -o $BUILD_OS &
else
docker rm -f "onnxruntime-$BUILD_DEVICE" || true
nvidia-docker run --rm -h $HOSTNAME \
--rm \
--name "onnxruntime-$BUILD_DEVICE" \
--volume "$SOURCE_ROOT:/onnxruntime_src" \
--volume "$BUILD_DIR:/build" \
--volume "$HOME/.cache/onnxruntime:/home/onnxruntimedev/.cache/onnxruntime" \
--volume "$HOME/.onnx:/home/onnxruntimedev/.onnx" \
-e NIGHTLY_BUILD \
"onnxruntime-$IMAGE" \
/bin/bash /onnxruntime_src/tools/ci_build/github/linux/run_build.sh \
-d $BUILD_DEVICE -x "$BUILD_EXTR_PAR" -o $BUILD_OS &
fi
wait $!
EXIT_CODE=$?
set -e
exit $EXIT_CODE