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docker updated to support openvino R1.1 (#1475)

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* docker updated to support openvino R1.1

* Update README.md

Updated Readme to downlaod openvino R1.1
This commit is contained in:
avidiyal 2019-07-24 13:16:23 -07:00 committed by jywu-msft
parent 91d32c9060
commit c0f927c57c
2 changed files with 11 additions and 11 deletions
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20
dockerfiles/Dockerfile.openvino
View file

@ -6,7 +6,7 @@
FROM ubuntu:16.04
RUN apt update && \
apt -y install python3.5 python3-pip zip x11-apps lsb-core wget cpio sudo libboost-python-dev libpng-dev zlib1g-dev git libnuma1 ocl-icd-libopencl1 clinfo libboost-filesystem1.58.0 libboost-thread1.58.0 protobuf-compiler libprotoc-dev libusb-1.0-0-dev&& pip3 install numpy networkx opencv-python pytest && locale-gen en_US.UTF-8 && update-locale LANG=en_US.UTF-8
apt -y install python3.5 python3-pip zip x11-apps lsb-core wget cpio sudo libboost-python-dev libpng-dev zlib1g-dev git libnuma1 ocl-icd-libopencl1 clinfo libboost-filesystem1.58.0 libboost-thread1.58.0 protobuf-compiler libprotoc-dev libusb-1.0-0-dev && pip3 install numpy networkx opencv-python pytest && locale-gen en_US.UTF-8 && update-locale LANG=en_US.UTF-8
ARG DEVICE=CPU_FP32
ARG ONNXRUNTIME_REPO=https://github.com/microsoft/onnxruntime
@ -28,20 +28,20 @@ RUN tar -xzf l_openvino_toolkit*.tgz && \
cd /opt/intel/openvino/deployment_tools/model_optimizer/install_prerequisites && ./install_prerequisites_onnx.sh
ENV LD_LIBRARY_PATH=/usr/lib:/usr/lib/x86_64-linux-gnu:$LD_LIBRARY_PATH
ENV INTEL_OPENVINO_DIR=/opt/intel/openvino
ENV INTEL_CVSDK_DIR=/opt/intel/openvino
ENV LD_LIBRARY_PATH=${INSTALL_OPENVINO_DIR}/deployment_tools/model_optimizer/model_optimizer_caffe/bin:${LD_LIBRARY_PATH}
ENV ModelOptimizer_ROOT_DIR=${INSTALL_OPENVINO_DIR}/deployment_tools/model_optimizer/model_optimizer_caffe
ENV INTEL_OPENVINO_DIR=/opt/intel/openvino_2019.1.144
ENV INTEL_CVSDK_DIR=/opt/intel/openvino_2019.1.144
ENV LD_LIBRARY_PATH=${INTEL_OPENVINO_DIR}/deployment_tools/model_optimizer/model_optimizer_caffe/bin:${LD_LIBRARY_PATH}
ENV ModelOptimizer_ROOT_DIR=${INTEL_OPENVINO_DIR}/deployment_tools/model_optimizer/model_optimizer_caffe
ENV InferenceEngine_DIR=${INTEL_CVSDK_DIR}/deployment_tools/inference_engine/share
ENV IE_PLUGINS_PATH=${INTEL_CVSDK_DIR}/deployment_tools/inference_engine/lib/intel64
ENV LD_LIBRARY_PATH=/opt/intel/opencl:${INSTALL_OPENVINO_DIR}/deployment_tools/inference_engine/external/cldnn/lib:${INSTALL_OPENVINO_DIR}/inference_engine/external/gna/lib:${INSTALL_OPENVINO_DIR}/deployment_tools/inference_engine/external/mkltiny_lnx/lib:${INSTALL_OPENVINO_DIR}/deployment_tools/inference_engine/external/omp/lib:${INSTALL_OPENVINO_DIR}/deployment_tools/inference_engine/external/tbb/lib:${IE_PLUGINS_PATH}:${LD_LIBRARY_PATH}
ENV OpenCV_DIR=${INSTALL_OPENVINO_DIR}/opencv/share/OpenCV
ENV LD_LIBRARY_PATH=${INSTALL_OPENVINO_DIR}/opencv/lib:${INSTALL_OPENVINO_DIR}/opencv/share/OpenCV/3rdparty/lib:${LD_LIBRARY_PATH}
ENV LD_LIBRARY_PATH=/opt/intel/opencl:${INTEL_OPENVINO_DIR}/deployment_tools/inference_engine/external/cldnn/lib:${INTEL_OPENVINO_DIR}/inference_engine/external/gna/lib:${INTEL_OPENVINO_DIR}/deployment_tools/inference_engine/external/mkltiny_lnx/lib:${INTEL_OPENVINO_DIR}/deployment_tools/inference_engine/external/omp/lib:${INTEL_OPENVINO_DIR}/deployment_tools/inference_engine/external/tbb/lib:${IE_PLUGINS_PATH}:${LD_LIBRARY_PATH}
ENV OpenCV_DIR=${INTEL_OPENVINO_DIR}/opencv/share/OpenCV
ENV LD_LIBRARY_PATH=${INTEL_OPENVINO_DIR}/opencv/lib:${INTEL_OPENVINO_DIR}/opencv/share/OpenCV/3rdparty/lib:${LD_LIBRARY_PATH}
ENV PATH=${INTEL_CVSDK_DIR}/deployment_tools/model_optimizer:$PATH
ENV PYTHONPATH=${INTEL_CVSDK_DIR}/deployment_tools/model_optimizer:$PYTHONPATH
ENV PYTHONPATH=$INTEL_CVSDK_DIR/python/python3.5:${INTEL_CVSDK_DIR}/python/python3.5/ubuntu16:${PYTHONPATH}
ENV HDDL_INSTALL_DIR=${INSTALL_OPENVINO_DIR}/deployment_tools/inference_engine/external/hddl
ENV LD_LIBRARY_PATH=${INSTALL_OPENVINO_DIR}/deployment_tools/inference_engine/external/hddl/lib:$LD_LIBRARY_PATH
ENV HDDL_INSTALL_DIR=${INTEL_OPENVINO_DIR}/deployment_tools/inference_engine/external/hddl
ENV LD_LIBRARY_PATH=${INTEL_OPENVINO_DIR}/deployment_tools/inference_engine/external/hddl/lib:$LD_LIBRARY_PATH
RUN wget https://github.com/intel/compute-runtime/releases/download/19.15.12831/intel-gmmlib_19.1.1_amd64.deb
RUN wget https://github.com/intel/compute-runtime/releases/download/19.15.12831/intel-igc-core_1.0.2-1787_amd64.deb

2
dockerfiles/README.md
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@ -87,7 +87,7 @@
Retrieve your docker image in one of the following ways.
- For building the docker image, download OpenVINO online installer version 2018 R5.0.1 from [here](https://software.intel.com/en-us/openvino-toolkit/choose-download) and copy the openvino tar file in the same directory and build the image. The online installer size is only 16MB and the components needed for the accelerators are mentioned in the dockerfile. Providing the argument device enables onnxruntime for that particular device. You can also provide arguments ONNXRUNTIME_REPO and ONNXRUNTIME_BRANCH to test that particular repo and branch. Default values are http://github.com/microsoft/onnxruntime and repo is master
- For building the docker image, download OpenVINO online installer version 2019 R1.1 from [here](https://software.intel.com/en-us/openvino-toolkit/choose-download) and copy the openvino tar file in the same directory and build the image. The online installer size is only 16MB and the components needed for the accelerators are mentioned in the dockerfile. Providing the argument device enables onnxruntime for that particular device. You can also provide arguments ONNXRUNTIME_REPO and ONNXRUNTIME_BRANCH to test that particular repo and branch. Default values are http://github.com/microsoft/onnxruntime and repo is master
```
docker build -t onnxruntime --build-arg DEVICE=$DEVICE .
```