Use docker image ageron/handson-ml-base which solves the issue with using OpenAI gym within Jupyter
Aurélien Geron
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Dockerfile
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Dockerfile
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FROM andrewosh/binder-base
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FROM ageron/handson-ml-base
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USER root
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RUN apt-get update
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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
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USER main
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# Python 2
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RUN conda install -c jjhelmus tensorflow=0.10.0
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RUN conda install -c conda-forge jupyter_contrib_nbextensions
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RUN jupyter contrib nbextension install --user
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RUN jupyter nbextension enable toc2/main
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RUN pip install --upgrade gym
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RUN pip install --upgrade 'gym[atari]'
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# Python 3
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RUN conda install -n python3 -c jjhelmus tensorflow=0.10.0
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RUN /bin/bash -c "source activate python3 && pip install --upgrade gym"
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RUN /bin/bash -c "source activate python3 && pip install --upgrade 'gym[atari]'"
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@ -0,0 +1,100 @@
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# Andrew Osheroff's docker base image, using system python rather than conda
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# https://github.com/binder-project/binder-build-core ... /images/python/3.5
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FROM debian:jessie
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MAINTAINER Aurelien Geron <aurelien.geron@gmail.com>
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ENV DEBIAN_FRONTEND noninteractive
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RUN apt-get update -y &&\
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apt-get install --fix-missing -y \
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build-essential\
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bzip2\
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cmake\
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curl\
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gcc\
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gfortran\
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git\
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libav-tools\
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libboost-all-dev\
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libglib2.0-0\
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libjpeg-dev\
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libsdl2-dev\
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libsm6\
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locales\
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nodejs-legacy\
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npm\
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python-dev\
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python-opengl\
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python-pip\
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python-qt4\
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python-virtualenv\
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python3-dev\
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python3-opengl\
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python3-pip\
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python3-virtualenv\
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swig\
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vim\
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wget\
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xorg-dev\
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xvfb\
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zlib1g-dev &&\
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apt-get clean &&\
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rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*tmp
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# set utf8 locale:
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RUN echo "en_US.UTF-8 UTF-8" > /etc/locale.gen && locale-gen
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ENV LANG=en_US.UTF-8 \
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LC_ALL=en_US.UTF-8
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# We run our docker images with a non-root user as a security precaution.
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# main is our user
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RUN useradd -m -s /bin/bash main
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EXPOSE 8888
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USER main
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ENV HOME /home/main
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ENV SHELL /bin/bash
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ENV USER main
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WORKDIR $HOME
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# Add helper scripts
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ADD start-notebook.sh /home/main/
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USER main
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ENV SHELL /bin/bash
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RUN pip install --upgrade --user pip wheel
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RUN pip3 install --upgrade --user pip wheel
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ENV PATH /home/main/.local/bin:$PATH
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# Install scientific packages
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RUN pip install --upgrade --user matplotlib numexpr numpy pandas Pillow protobuf psutil scipy scikit-learn sympy
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RUN pip3 install --upgrade --user matplotlib numexpr numpy pandas Pillow protobuf psutil scipy scikit-learn sympy
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# Install TensorFlow
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RUN pip install --upgrade --user https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc0-cp27-none-linux_x86_64.whl
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RUN pip3 install --upgrade --user https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc0-cp34-cp34m-linux_x86_64.whl
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# Install OpenAI gym
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RUN pip install --upgrade --user gym
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RUN pip3 install --upgrade --user gym
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RUN pip install --upgrade --user "gym[atari]"
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RUN pip3 install --upgrade --user "gym[atari]"
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# Install Jupyter and Jupyter extensions
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RUN pip install --upgrade --user jupyter https://github.com/ipython-contrib/jupyter_contrib_nbextensions/tarball/master
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RUN pip3 install --upgrade --user jupyter https://github.com/ipython-contrib/jupyter_contrib_nbextensions/tarball/master
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# Replace script to start Jupyter with xvfb-run
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ADD start-notebook.sh /home/main/
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RUN ipython2 kernel install --user
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RUN ipython3 kernel install --user
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# Install Notebook extensions and activate the ToC extension
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RUN jupyter contrib nbextension install --user
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RUN jupyter nbextension enable toc2/main
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#!/bin/bash
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OPTS=""
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echo "$HOME/notebooks/index.ipynb: " $HOME/notebooks/index.ipynb
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if [ -e $HOME/notebooks/index.ipynb ]; then
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OPTS="$OPTS --NotebookApp.default_url=/tree/index.ipynb "
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fi
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if [ -e $HOME/.binder_start ]; then
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source $HOME/.binder_start
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fi
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CMD="$OPTS $@"
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echo "CMD: " $CMD
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# Run Jupyter with xvfb-run so that it can render the CartPole
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# environment without crashing:
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xvfb-run -s "-screen 0 1400x900x24" jupyter notebook $CMD
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