Dockerfile.cpu

FROM ubuntu:14.04

ARG TENSORFLOW_VERSION=0.10.0
ARG TENSORFLOW_ARCH=cpu

# Install some dependencies
RUN apt-get update && apt-get install -y \
        bc \
        build-essential \
        cmake \
        curl \
        g++ \
        gfortran \
        git \
        libffi-dev \
        libfreetype6-dev \
        libhdf5-dev \
        libjpeg-dev \
        liblcms2-dev \
        libopenblas-dev \
        liblapack-dev \
        libopenjpeg2 \
        libpng12-dev \
        libssl-dev \
        libtiff5-dev \
        libwebp-dev \
        libzmq3-dev \
        nano \
        pkg-config \
        python-dev \
        software-properties-common \
        unzip \
        vim \
        wget \
        zlib1g-dev \
        && \
    apt-get clean && \
    apt-get autoremove && \
    rm -rf /var/lib/apt/lists/* && \
# Link BLAS library to use OpenBLAS using the alternatives mechanism (https://www.scipy.org/scipylib/building/linux.html#debian-ubuntu)
    update-alternatives --set libblas.so.3 /usr/lib/openblas-base/libblas.so.3

# Install pip
RUN curl -O https://bootstrap.pypa.io/get-pip.py && \
    python get-pip.py && \
    rm get-pip.py

# Add SNI support to Python
RUN pip --no-cache-dir install \
        pyopenssl \
        ndg-httpsclient \
        pyasn1

# Install useful Python packages using apt-get to avoid version incompatibilities with Tensorflow binary
# especially numpy, scipy, skimage and sklearn (see https://github.com/tensorflow/tensorflow/issues/2034)
RUN apt-get update && apt-get install -y \
        python-pip \
        python-setuptools \
        && \
    apt-get clean && \
    apt-get autoremove && \
    rm -rf /var/lib/apt/lists/*

# Install other useful Python packages using pip
RUN pip --no-cache-dir install --upgrade ipython && \
    pip --no-cache-dir install \
        Cython \
        numpy \
        scipy \
        nose \
        h5py \
        scikit-image \
        matplotlib \
        pandas \
        scikit-learn \
        sympy \
        ipykernel \
        jupyter \
        path.py \
        Pillow \
        plotly \
        pygments \
        seaborn \
        six \
        sphinx \
        wheel \
        zmq \
        && \
    python -m ipykernel.kernelspec


# Install TensorFlow
RUN pip --no-cache-dir install \
    https://storage.googleapis.com/tensorflow/linux/${TENSORFLOW_ARCH}/tensorflow-${TENSORFLOW_VERSION}-cp27-none-linux_x86_64.whl

# Install Keras
ARG KERAS_VERSION=1.1.0
ENV KERAS_BACKEND=tensorflow
RUN pip --no-cache-dir install git+git://github.com/fchollet/keras.git@${KERAS_VERSION}


# Set up notebook config
COPY jupyter_notebook_config.py /root/.jupyter/

# Uncomment the following two lines if you're using windows
# COPY run_jupyter.sh /root/
# COPY demo/ /root/demo/

# Expose Ports for TensorBoard (6006), Ipython (8888)
EXPOSE 6006 8888

WORKDIR "/root"
CMD ["/bin/bash"]