Dockerfile-term1

FROM nvidia/cuda:8.0-cudnn6-runtime-ubuntu16.04

ENV CONDA_DIR /opt/conda
ENV PATH $CONDA_DIR/bin:$PATH

ARG miniconda_version=4.1.11
#RUN mkdir -p $CONDA_DIR && \
RUN echo export PATH=$CONDA_DIR/bin:'$PATH' > /etc/profile.d/conda.sh && \
    apt-get update && \
    apt-get install -y wget git libhdf5-dev g++ graphviz && \
    wget --quiet https://repo.continuum.io/miniconda/Miniconda3-${miniconda_version}-Linux-x86_64.sh -O ~/miniconda.sh && \
    /bin/bash ~/miniconda.sh -b -p /opt/conda && \
    rm ~/miniconda.sh

ENV NB_USER keras
ENV NB_UID 1000

RUN useradd -m -s /bin/bash -N -u $NB_UID $NB_USER && \
#    mkdir -p $CONDA_DIR && \
    chown keras $CONDA_DIR -R && \
    mkdir -p /src && \
    chown keras /src

# Python
#   conda remove mkl mkl-service && \	: nomkl (intel math kernel library), instead openblas used to save 100MB space
#   You are using pip version 8.1.2, however version 9.0.1 is available. "pip install --upgrade pip" included
ARG python_version=3.5.2
ARG tensorflow_version=0.12.0rc0-cp35-cp35m	
RUN conda install -y python=${python_version} && \
    pip install --upgrade pip && \
    pip install https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-${tensorflow_version}-linux_x86_64.whl && \
    pip install ipdb pytest pytest-cov python-coveralls coverage==3.7.1 pytest-xdist pep8 pytest-pep8 pydot_ng && \
    conda install nomkl Pillow scikit-learn notebook pandas matplotlib nose pyyaml six h5py && \
    pip install moviepy && \
    conda clean -yt

# Symbolic link which is not taken care during CUDA/CUDNN installation
RUN export LD_LIBRARY_PATH="/usr/local/cuda/lib64:$LD_LIBRARY_PATH" && \
    ln -s /usr/local/cuda/lib64/libcudnn.so.5 /usr/local/cuda/lib64/libcudnn.so

# opencv3
# ffmpeg required for moviepy
RUN apt-get install -y --no-install-recommends libgomp1 libgtk2.0 && \
    conda install -c menpo ffmpeg=3.1.3 && \
    conda install -c menpo opencv3    

# Keras
USER keras
RUN pip install git+git://github.com/fchollet/keras.git
ENV KERAS_BACKEND=tensorflow
ENV PYTHONPATH='/src/:$PYTHONPATH'

WORKDIR /src

# TensorBoard
EXPOSE 6006
# IPython
EXPOSE 8888

CMD ["/bin/bash"]