Dockerfile-gpu

FROM nvidia/cuda:8.0-cudnn5-runtime-ubuntu16.04
ENV LD_LIBRARY_PATH $LD_LIBRARY_PATH:/usr/local/cuda/lib64

ENV LANG=C.UTF-8 LC_ALL=C.UTF-8

RUN apt-get update --fix-missing && apt-get install -y wget bzip2 ca-certificates \
    libglib2.0-0 libxext6 libsm6 libxrender1 \
    git mercurial subversion

RUN echo 'export PATH=/opt/conda/bin:$PATH' > /etc/profile.d/conda.sh && \
    wget --quiet https://repo.continuum.io/archive/Anaconda3-4.2.0-Linux-x86_64.sh -O ~/anaconda.sh && \
    /bin/bash ~/anaconda.sh -b -p /opt/conda && \
    rm ~/anaconda.sh

RUN apt-get install -y curl grep sed dpkg && \
    TINI_VERSION=`curl https://github.com/krallin/tini/releases/latest | grep -o "/v.*\"" | sed 's:^..\(.*\).$:\1:'` && \
    curl -L "https://github.com/krallin/tini/releases/download/v${TINI_VERSION}/tini_${TINI_VERSION}.deb" > tini.deb && \
    dpkg -i tini.deb && \
    rm tini.deb && \
    apt-get clean

ENV PATH /opt/conda/bin:$PATH

ENV TENSORFLOW_VERSION 1.1.0
RUN pip install tensorflow-gpu==$TENSORFLOW_VERSION 
# RUN conda update conda; conda update --all

COPY jupyter_notebook_config.py /root/.jupyter/

# Jupyter has issues with being run directly:
# https://github.com/ipython/ipython/issues/7062
# We just add a little wrapper script.
COPY run_jupyter.sh /

# tensorboard
EXPOSE 6006

# jupyter
EXPOSE 8888
EXPOSE 8889

WORKDIR "/notebooks"

CMD ["/bin/bash"]