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# docker-keras - Keras in Docker with Python 2 and Theano on GPU
FROM gw000/debian-cuda:9.1_7.0
MAINTAINER gw0 [http://gw.tnode.com/] <gw.2018@ena.one>
# install debian packages
ENV DEBIAN_FRONTEND noninteractive
RUN apt-get update -qq \
&& apt-get install --no-install-recommends -y \
# install essentials
build-essential \
g++ \
git \
openssh-client \
# install python 2
python \
python-dev \
python-pip \
python-setuptools \
python-virtualenv \
python-wheel \
pkg-config \
# requirements for numpy
libopenblas-base \
python-numpy \
python-scipy \
# requirements for keras
python-h5py \
python-yaml \
python-pydot \
# requirements for theano
cmake \
cython \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*
# build and install requirements for theano
RUN git clone https://github.com/Theano/libgpuarray.git /tmp/libgpuarray \
&& cd /tmp/libgpuarray \
&& mkdir ./Build \
&& cd ./Build \
&& cmake .. -DCMAKE_BUILD_TYPE=Release \
&& make \
&& make install \
&& cd .. \
&& python setup.py build \
&& python setup.py install \
&& cd / \
&& rm -rf /tmp/libgpuarray \
&& ldconfig
ARG THEANO_VERSION=1.0.1
ENV THEANO_FLAGS='device=cuda,floatX=float32'
RUN pip --no-cache-dir install git+https://github.com/Theano/Theano.git@rel-${THEANO_VERSION}
ARG KERAS_VERSION=2.1.4
ENV KERAS_BACKEND=theano
RUN pip --no-cache-dir install --no-dependencies git+https://github.com/fchollet/keras.git@${KERAS_VERSION}
# quick test and dump package lists
RUN python -c "import theano; print(theano.__version__)" \
&& dpkg-query -l > /dpkg-query-l.txt \
&& pip2 freeze > /pip2-freeze.txt
WORKDIR /srv/