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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"]
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