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FROM ubuntu:14.04
MAINTAINER Craig Citro <craigcitro@google.com>
# Pick up some TF dependencies
RUN apt-get update && apt-get install -y \
curl \
libfreetype6-dev \
libpng12-dev \
libzmq3-dev \
pkg-config \
python-numpy \
python-pip \
python-scipy \
&& \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
RUN pip install \
jupyter \
matplotlib
# Install TensorFlow CPU version.
RUN pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl
RUN curl -O https://bootstrap.pypa.io/get-pip.py && \
python get-pip.py && \
rm get-pip.py && \
pip --no-cache-dir install requests[security]
RUN pip --no-cache-dir install ipykernel && \
python -m ipykernel.kernelspec
# Add any notebooks in this directory.
COPY notebooks/*.ipynb /notebooks/
# Set up our notebook config.
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 /
# Set the workdir so we see notebooks on the IPython landing page.
WORKDIR /notebooks
# These are temporary while we sort out the GPU dependency.
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
# TensorBoard
EXPOSE 6006
# IPython
EXPOSE 8888
CMD ["/run_jupyter.sh"]
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