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tensorflow-haskell/ci_build/Dockerfile

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Docker

# Image for launching TensorFlow Haskell tests. Unlike the
# development image in docker/Dockerfile, this one doesn't require
# stack to be installed on the host. This comes at the expense of
# flexibility.
FROM tensorflow/tensorflow:1.3.0
LABEL maintainer="TensorFlow authors <tensorflow-haskell@googlegroups.com>"
# The build context directory is the top of the tensorflow-haskell
# tree.
ADD . /tfhs
WORKDIR /tfhs
RUN \
apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys 575159689BEFB442 && \
echo 'deb http://download.fpcomplete.com/ubuntu trusty main'| tee /etc/apt/sources.list.d/fpco.list && \
apt-get update && \
apt-get install -y \
# Required by snappy-frames dependency.
libsnappy-dev \
# Avoids /usr/bin/ld: cannot find -ltinfo
libncurses5-dev \
# Makes stack viable in the container
libgmp-dev \
libcurl3-dev \
stack && \
# Installs protoc and the libraries.
curl -O -L https://github.com/google/protobuf/releases/download/v3.2.0/protoc-3.2.0-linux-x86_64.zip && \
unzip -d /usr/local protoc-3.2.0-linux-x86_64.zip bin/protoc && \
chmod 755 /usr/local/bin/protoc && \
curl -O https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-cpu-linux-x86_64-1.3.0.tar.gz && \
tar zxf libtensorflow-cpu-linux-x86_64-1.3.0.tar.gz -C /usr/local && \
ldconfig && \
stack setup && \
stack test --only-dependencies