docker/Dockerfiles/Dockerfile.tensorrt

# -*- mode: dockerfile -*-
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# Dockerfile to run MXNet with TensorRT Integration.

FROM nvidia/cuda:9.0-cudnn7-devel

WORKDIR /work/deps

# Ubuntu-core
RUN apt-get update && \
  apt-get install -y --no-install-recommends \
    libopenblas-base \
    python3 \
    python3-pip \
    wget

RUN ln -s $(which python3) /usr/bin/python && \
    ln -s $(which pip3) /usr/bin/pip

RUN echo "Installing TensorRT." && \
  wget -qO tensorrt.deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/nvinfer-runtime-trt-repo-ubuntu1604-4.0.1-ga-cuda9.0_1-1_amd64.deb && \
  dpkg -i tensorrt.deb && \
  apt-get update && \
  apt-get install -y --allow-downgrades libnvinfer-dev && \
  rm tensorrt.deb

RUN pip install mxnet-tensorrt-cu90

CMD python