Dockerfile.tensorrt_server_googlenet

FROM nvidia/cuda:8.0-cudnn6-devel-ubuntu16.04
ENV CUDA_ARCH "30 35 52 60"

MAINTAINER Felix Abecassis "fabecassis@nvidia.com"

# Install dependencies.
RUN apt-get update && apt-get install -y --no-install-recommends \
        ca-certificates \
        cmake \
        git \
        libboost-all-dev \
        libgflags-dev \
        libgoogle-glog-dev \
        libprotobuf-dev \
        pkg-config \
        protobuf-compiler \
        python-yaml \
        wget && \
    rm -rf /var/lib/apt/lists/*

# Install OpenCV 3.2.0 with CUDA support
RUN git clone --depth 1 -b 3.2.0 https://github.com/Itseez/opencv.git /opencv && \
    cd /opencv && \
    cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=ON \
          -DWITH_CUDA=ON -DCUDA_ARCH_BIN="${CUDA_ARCH}" -DCUDA_ARCH_PTX="${CUDA_ARCH}" \
          -DWITH_JPEG=ON -DBUILD_JPEG=ON -DWITH_PNG=ON -DBUILD_PNG=ON \
          -DBUILD_TESTS=OFF -DBUILD_EXAMPLES=OFF -DWITH_FFMPEG=OFF -DWITH_GTK=OFF \
          -DWITH_OPENCL=OFF -DWITH_QT=OFF -DWITH_V4L=OFF -DWITH_JASPER=OFF \
          -DWITH_1394=OFF -DWITH_TIFF=OFF -DWITH_OPENEXR=OFF -DWITH_IPP=OFF -DWITH_WEBP=OFF \
          -DBUILD_opencv_superres=OFF -DBUILD_opencv_java=OFF -DBUILD_opencv_python2=OFF \
          -DBUILD_opencv_videostab=OFF -DBUILD_opencv_apps=OFF -DBUILD_opencv_flann=OFF \
          -DBUILD_opencv_ml=OFF -DBUILD_opencv_photo=OFF -DBUILD_opencv_shape=OFF \
          -DBUILD_opencv_cudabgsegm=OFF -DBUILD_opencv_cudaoptflow=OFF -DBUILD_opencv_cudalegacy=OFF \
          -DCUDA_NVCC_FLAGS="--default-stream per-thread -O3" -DCUDA_FAST_MATH=ON && \
    make -j"$(nproc)" install && ldconfig && \
    rm -rf /opencv

# Install golang
ENV GOLANG_VERSION 1.8.1
RUN wget -O - https://storage.googleapis.com/golang/go${GOLANG_VERSION}.linux-amd64.tar.gz \
    | tar -v -C /usr/local -xz
ENV GOPATH /go
ENV PATH $GOPATH/bin:/usr/local/go/bin:$PATH

# Require the TensorRT archive to be present in the build context.
ADD TensorRT-2.1.2.x86_64.cuda-8.0-16-04.tar.bz2 /opt/

ENV CPLUS_INCLUDE_PATH /opt/TensorRT-2.1.2/include:$CPLUS_INCLUDE_PATH
ENV LD_LIBRARY_PATH /opt/TensorRT-2.1.2/targets/x86_64-linux-gnu/lib:$LD_LIBRARY_PATH
ENV LIBRARY_PATH /opt/TensorRT-2.1.2/targets/x86_64-linux-gnu/lib:$LIBRARY_PATH

# Copy and build GPU Rest Engine with TensorRT
COPY tensorrt /go/src/tensorrt-server
COPY common.h /go/src/common.h
RUN go get -ldflags="-s" tensorrt-server

# Download Googlenet model
RUN git clone -b caffe-0.15 --depth 1 https://github.com/NVIDIA/caffe.git /caffe && \
    /caffe/scripts/download_model_binary.py /caffe/models/bvlc_googlenet && \
    /caffe/data/ilsvrc12/get_ilsvrc_aux.sh

# Googlenet
CMD ["tensorrt-server", \
     "/caffe/models/bvlc_googlenet/deploy.prototxt", \
     "/caffe/models/bvlc_googlenet/bvlc_googlenet.caffemodel", \
     "/caffe/data/ilsvrc12/imagenet_mean.binaryproto", \
     "/caffe/data/ilsvrc12/synset_words.txt"]