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Use docker image ageron/handson-ml-base which solves the issue with u…
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…sing OpenAI gym within Jupyter
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ageron committed Oct 8, 2016
1 parent 37a7ed3 commit 212289e
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21 changes: 1 addition & 20 deletions Dockerfile
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FROM andrewosh/binder-base

USER root
RUN apt-get update
RUN apt-get install -y python-numpy python-dev cmake zlib1g-dev libjpeg-dev xvfb libav-tools xorg-dev python-opengl libboost-all-dev libsdl2-dev swig

USER main

# Python 2
RUN conda install -c jjhelmus tensorflow=0.10.0
RUN conda install -c conda-forge jupyter_contrib_nbextensions
RUN jupyter contrib nbextension install --user
RUN jupyter nbextension enable toc2/main
RUN pip install --upgrade gym
RUN pip install --upgrade 'gym[atari]'

# Python 3
RUN conda install -n python3 -c jjhelmus tensorflow=0.10.0
RUN /bin/bash -c "source activate python3 && pip install --upgrade gym"
RUN /bin/bash -c "source activate python3 && pip install --upgrade 'gym[atari]'"
FROM ageron/handson-ml-base
100 changes: 100 additions & 0 deletions Dockerfile-base
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# Andrew Osheroff's docker base image, using system python rather than conda
# https://github.com/binder-project/binder-build-core ... /images/python/3.5
FROM debian:jessie

MAINTAINER Aurelien Geron <[email protected]>

ENV DEBIAN_FRONTEND noninteractive

RUN apt-get update -y &&\
apt-get install --fix-missing -y \
build-essential\
bzip2\
cmake\
curl\
gcc\
gfortran\
git\
libav-tools\
libboost-all-dev\
libglib2.0-0\
libjpeg-dev\
libsdl2-dev\
libsm6\
locales\
nodejs-legacy\
npm\
python-dev\
python-opengl\
python-pip\
python-qt4\
python-virtualenv\
python3-dev\
python3-opengl\
python3-pip\
python3-virtualenv\
swig\
vim\
wget\
xorg-dev\
xvfb\
zlib1g-dev &&\
apt-get clean &&\
rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*tmp

# set utf8 locale:
RUN echo "en_US.UTF-8 UTF-8" > /etc/locale.gen && locale-gen
ENV LANG=en_US.UTF-8 \
LC_ALL=en_US.UTF-8

# We run our docker images with a non-root user as a security precaution.
# main is our user
RUN useradd -m -s /bin/bash main

EXPOSE 8888

USER main
ENV HOME /home/main
ENV SHELL /bin/bash
ENV USER main
WORKDIR $HOME

# Add helper scripts
ADD start-notebook.sh /home/main/

USER main

ENV SHELL /bin/bash

RUN pip install --upgrade --user pip wheel
RUN pip3 install --upgrade --user pip wheel

ENV PATH /home/main/.local/bin:$PATH

# Install scientific packages
RUN pip install --upgrade --user matplotlib numexpr numpy pandas Pillow protobuf psutil scipy scikit-learn sympy
RUN pip3 install --upgrade --user matplotlib numexpr numpy pandas Pillow protobuf psutil scipy scikit-learn sympy

# Install TensorFlow
RUN pip install --upgrade --user https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc0-cp27-none-linux_x86_64.whl
RUN pip3 install --upgrade --user https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc0-cp34-cp34m-linux_x86_64.whl

# Install OpenAI gym
RUN pip install --upgrade --user gym
RUN pip3 install --upgrade --user gym
RUN pip install --upgrade --user "gym[atari]"
RUN pip3 install --upgrade --user "gym[atari]"

# Install Jupyter and Jupyter extensions
RUN pip install --upgrade --user jupyter https://github.com/ipython-contrib/jupyter_contrib_nbextensions/tarball/master
RUN pip3 install --upgrade --user jupyter https://github.com/ipython-contrib/jupyter_contrib_nbextensions/tarball/master

# Replace script to start Jupyter with xvfb-run
ADD start-notebook.sh /home/main/

RUN ipython2 kernel install --user
RUN ipython3 kernel install --user

# Install Notebook extensions and activate the ToC extension
RUN jupyter contrib nbextension install --user
RUN jupyter nbextension enable toc2/main
16 changes: 16 additions & 0 deletions start-notebook.sh
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#!/bin/bash
OPTS=""
echo "$HOME/notebooks/index.ipynb: " $HOME/notebooks/index.ipynb
if [ -e $HOME/notebooks/index.ipynb ]; then
OPTS="$OPTS --NotebookApp.default_url=/tree/index.ipynb "
fi
if [ -e $HOME/.binder_start ]; then
source $HOME/.binder_start
fi
CMD="$OPTS $@"
echo "CMD: " $CMD

# Run Jupyter with xvfb-run so that it can render the CartPole
# environment without crashing:
xvfb-run -s "-screen 0 1400x900x24" jupyter notebook $CMD

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