docker_mkldnn

## TO BUILD CONTAINER:
## Make sure you have downloaded the Linux version of OpenVINO: https://software.intel.com/en-us/openvino-toolkit/choose-download/free-download-linux
## Place the downloaded OpenVINO installer in the same directory as this Dockerfile.
## docker build -t 3d_unet_decathlon --build-arg HTTP_PROXY=${HTTP_PROXY} --build-arg HTTPS_PROXY=${HTTPS_PROXY} --build-arg NO_PROXY=${NO_PROXY} --build-arg http_proxy=${http_proxy} --build-arg https_proxy=${https_proxy} --build-arg no_proxy=${no_proxy} .
## TO RUN BUILT CONTAINER:
## For CPU - `docker run -e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp.X11-unix  -it 3d_unet_decathlon`
FROM ubuntu:16.04

ENV APP_DIR /app
ADD . ${APP_DIR}
WORKDIR ${APP_DIR}

# Make sure programs are installed
RUN apt-get update && apt-get install -y --no-install-recommends \
        autoconf \
        build-essential \
        curl \
        cpio \
        cmake \
        git \
        g++ \
        libtool \
        lsb-release \
        nano \
        pciutils \
        python3.5-dev \
        python3-pip \
        python3-setuptools \
        sudo \
        tar \
        udev \
        unzip \
        usbutils \
        wget \
        vim \
        && apt-get clean all \
        && cd /usr/local/bin \
        && ln -s /usr/bin/python3 python \
        && pip3 install --upgrade pip

RUN pip3 install  \
     https://storage.googleapis.com/intel-optimized-tensorflow/tensorflow-1.12.0-cp35-cp35m-linux_x86_64.whl \
     h5py matplotlib nibabel numpy psutil keras tqdm

CMD ["/bin/bash"]