Fix requirements.txt to simplify TensorFlow installation, and try to fix binder
parent
ba100cde2a
commit
146fde1127
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Dockerfile
21
Dockerfile
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@ -23,6 +23,7 @@ RUN apt-get update -y &&\
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rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*tmp
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rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*tmp
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USER main
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USER main
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ADD requirements.txt /home/main/
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RUN /usr/bin/pip2 install --upgrade --user pip wheel
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RUN /usr/bin/pip2 install --upgrade --user pip wheel
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RUN /usr/bin/pip3 install --upgrade --user pip wheel
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RUN /usr/bin/pip3 install --upgrade --user pip wheel
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@ -30,18 +31,12 @@ RUN /usr/bin/pip3 install --upgrade --user pip wheel
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ENV PATH /home/main/.local/bin:$PATH
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ENV PATH /home/main/.local/bin:$PATH
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# Install scientific packages
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# Install scientific packages
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RUN pip2 install --upgrade --user matplotlib numexpr numpy pandas Pillow protobuf psutil scipy scikit-learn sympy jupyter
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RUN pip2 install --upgrade --user -r requirements.txt
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RUN pip3 install --upgrade --user matplotlib numexpr numpy pandas Pillow protobuf psutil scipy scikit-learn sympy jupyter
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RUN pip3 install --upgrade --user -r requirements.txt
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# Install TensorFlow
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RUN pip2 install --user --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0-cp27-none-linux_x86_64.whl
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RUN pip3 install --user --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0-cp34-cp34m-linux_x86_64.whl
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# Install OpenAI gym
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# Install OpenAI gym
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RUN pip2 install --user --upgrade gym
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RUN pip2 install --upgrade --user 'gym[all]'
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RUN pip3 install --user --upgrade gym
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RUN pip3 install --upgrade --user 'gym[all]'
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RUN pip2 install --user --upgrade 'gym[all]'
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RUN pip3 install --user --upgrade 'gym[all]'
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# Install Jupyter extensions
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# Install Jupyter extensions
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RUN pip3 install --user --upgrade https://github.com/ipython-contrib/jupyter_contrib_nbextensions/tarball/master
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RUN pip3 install --user --upgrade https://github.com/ipython-contrib/jupyter_contrib_nbextensions/tarball/master
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@ -58,3 +53,9 @@ RUN /usr/bin/python2 -m ipykernel install --user
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RUN /usr/bin/python3 -m ipykernel install --user
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RUN /usr/bin/python3 -m ipykernel install --user
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ADD .binder_start /home/main/
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ADD .binder_start /home/main/
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RUN mkdir -p $HOME/.jupyter
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RUN echo "c.NotebookApp.token = ''" >> $HOME/.jupyter/jupyter_notebook_config.py
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RUN echo "c.NotebookApp.password=''" >> $HOME/.jupyter/jupyter_notebook_config.py
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RUN echo "c.NotebookApp.password_required=False" >> $HOME/.jupyter/jupyter_notebook_config.py
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@ -34,9 +34,7 @@ If you want an isolated environment (recommended), you can use [virtualenv](http
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$ virtualenv env
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$ virtualenv env
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$ source ./env/bin/activate
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$ source ./env/bin/activate
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There are different packages for TensorFlow, depending on your platform. Please edit `requirements.txt` and make sure only the right one for your platform is uncommented. Default is Python 3.5, Ubuntu/Linux 64-bits, CPU-only.
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If you want to go through chapter 16 on Reinforcement Learning, you will need to [install OpenAI gym](https://gym.openai.com/docs) and its dependencies for Atari simulations.
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Also, if you want to go through chapter 16 on Reinforcement Learning, you will need to [install OpenAI gym](https://gym.openai.com/docs) and its dependencies for Atari simulations.
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Then make sure pip is up to date, and use it to install the required python packages:
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Then make sure pip is up to date, and use it to install the required python packages:
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@ -45,7 +43,7 @@ Then make sure pip is up to date, and use it to install the required python pack
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If you prefer to use [Anaconda](https://www.continuum.io/), you can run the following commands instead:
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If you prefer to use [Anaconda](https://www.continuum.io/), you can run the following commands instead:
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$ conda install -c jjhelmus tensorflow=0.10.0
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$ conda install -c jjhelmus tensorflow=0.12.0rc0
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$ conda install -c conda-forge jupyter_contrib_nbextensions
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$ conda install -c conda-forge jupyter_contrib_nbextensions
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If you want to install the Jupyter extensions, run the following command:
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If you want to install the Jupyter extensions, run the following command:
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@ -3,18 +3,18 @@
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#
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#
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# Then you probably want to work in a virtualenv (optional):
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# Then you probably want to work in a virtualenv (optional):
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# $ sudo pip install --upgrade virtualenv
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# $ sudo pip install --upgrade virtualenv
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# Or if you prefer, in Ubuntu:
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# Or if you prefer you can install virtualenv using your favorite packaging system. E.g., in Ubuntu:
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# $ sudo apt-get update && sudo apt-get install virtualenv
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# $ sudo apt-get update && sudo apt-get install virtualenv
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# Then:
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# Then:
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# $ cd $my_work_dir
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# $ cd $my_work_dir
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# $ virtualenv my_env
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# $ virtualenv my_env
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# $ . my_env/bin/activate
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# $ . my_env/bin/activate
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#
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#
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# Next, optionally uncomment the OpenAI gym lines (see below). If you do, make sure to install the dependencies.
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# Next, optionally uncomment the OpenAI gym lines (see below). If you do, make sure to install the dependencies first.
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#
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#
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# Then uncomment only the desired version of TensorFlow (see below), and install the requirements:
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# Then install these requirements:
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# $ pip install --upgrade -r requirements.txt
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# $ pip install --upgrade -r requirements.txt
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#
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#
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# Finally, start jupyter:
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# Finally, start jupyter:
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# $ jupyter notebook
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# $ jupyter notebook
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#
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#
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@ -22,7 +22,7 @@
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jupyter==1.0.0
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jupyter==1.0.0
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matplotlib==1.5.3
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matplotlib==1.5.3
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numexpr==2.6.1
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numexpr==2.6.1
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numpy==1.11.2
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numpy==1.12.0
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pandas==0.19.1
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pandas==0.19.1
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Pillow==3.4.2
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Pillow==3.4.2
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protobuf==3.0.0
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protobuf==3.0.0
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@ -30,53 +30,15 @@ psutil==5.0.0
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scikit-learn==0.18.1
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scikit-learn==0.18.1
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scipy==0.18.1
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scipy==0.18.1
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sympy==1.0
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sympy==1.0
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tensorflow==0.12.1
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# Optional: OpenAI gym is only needed for the Reinforcement Learning chapter.
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# Optional: OpenAI gym is only needed for the Reinforcement Learning chapter.
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# There are a few dependencies you need to install first, check out:
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# There are a few dependencies you need to install first, check out:
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# https://github.com/openai/gym#installing-everything
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# https://github.com/openai/gym#installing-everything
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#gym==0.5.4
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#gym[all]==0.5.4
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#atari-py==0.0.18
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# If you only want to install the Atari dependency, uncomment this line instead:
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#gym[atari]==0.5.4
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# Optional: these are useful Jupyter extensions, in particular to display
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# Optional: these are useful Jupyter extensions, in particular to display
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# the table of contents.
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# the table of contents.
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https://github.com/ipython-contrib/jupyter_contrib_nbextensions/tarball/master
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https://github.com/ipython-contrib/jupyter_contrib_nbextensions/tarball/master
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######
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#####
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#### Uncomment only the right version of TensorFlow for your system
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### (default is Python 3.5, Ubuntu/Linux 64-bit, CPU only)
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##
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# For GPU versions, requires CUDA toolkit 7.5 and CuDNN v5.
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# See https://www.tensorflow.org/versions/master/get_started/os_setup.html
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# Ubuntu/Linux 64-bit, CPU only, Python 2.7
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#https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0-cp27-none-linux_x86_64.whl
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# Ubuntu/Linux 64-bit, GPU enabled, Python 2.7
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#https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0-cp27-none-linux_x86_64.whl
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# Mac OS X, CPU only, Python 2.7:
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#https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.11.0-py2-none-any.whl
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# Mac OS X, GPU enabled, Python 2.7:
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#https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow-0.11.0-py2-none-any.whl
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# Ubuntu/Linux 64-bit, CPU only, Python 3.4
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#https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0-cp34-cp34m-linux_x86_64.whl
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# Ubuntu/Linux 64-bit, GPU enabled, Python 3.4
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#https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0-cp34-cp34m-linux_x86_64.whl
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# Ubuntu/Linux 64-bit, CPU only, Python 3.5
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https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0-cp35-cp35m-linux_x86_64.whl
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# Ubuntu/Linux 64-bit, GPU enabled, Python 3.5
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#https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.11.0-cp35-cp35m-linux_x86_64.whl
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# Mac OS X, CPU only, Python 3.4 or 3.5:
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#https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.11.0-py3-none-any.whl
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# Mac OS X, GPU enabled, Python 3.4 or 3.5:
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#https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow-0.11.0-py3-none-any.whl
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