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FROM ubuntu:16.04
LABEL maintainer="Clayne Robison <clayne.b.robison@intel.com>"
# These parameters can be overridden by parameterized_docker_build.sh
ARG TF_BUILD_VERSION=r1.9
ARG PYTHON="python"
ARG PYTHON3_DEV=""
ARG WHL_DIR="/tmp/pip"
ARG PIP="pip"
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
curl \
git \
libcurl3-dev \
libfreetype6-dev \
libhdf5-serial-dev \
libpng12-dev \
libzmq3-dev \
pkg-config \
python-dev \
${PYTHON3_DEV} \
rsync \
software-properties-common \
unzip \
zip \
zlib1g-dev \
openjdk-8-jdk \
openjdk-8-jre-headless \
&& \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
RUN curl -fSsL -O https://bootstrap.pypa.io/get-pip.py && \
${PYTHON} get-pip.py && \
rm get-pip.py
RUN ${PIP} --no-cache-dir install \
Pillow \
h5py \
ipykernel \
jupyter \
matplotlib \
mock \
numpy \
scipy \
sklearn \
pandas \
&& \
${PYTHON} -m ipykernel.kernelspec
RUN if [ "${PYTHON}" = "python3" ]; then \
ln -s -f /usr/bin/python3 /usr/bin/python; \
fi
# Set up our notebook config.
COPY jupyter_notebook_config.py /root/.jupyter/
# Jupyter has issues with being run directly:
# https://github.com/ipython/ipython/issues/7062
# We just add a little wrapper script.
COPY run_jupyter.sh /
# Set up Bazel.
# Running bazel inside a `docker build` command causes trouble, cf:
# https://github.com/bazelbuild/bazel/issues/134
# The easiest solution is to set up a bazelrc file forcing --batch.
RUN echo "startup --batch" >>/etc/bazel.bazelrc
# Similarly, we need to workaround sandboxing issues:
# https://github.com/bazelbuild/bazel/issues/418
RUN echo "build --spawn_strategy=standalone --genrule_strategy=standalone" \
>>/etc/bazel.bazelrc
# Install the most recent bazel release.
ENV BAZEL_VERSION 0.14.1
WORKDIR /
RUN mkdir /bazel && \
cd /bazel && \
curl -H "User-Agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36" -fSsL -O https://github.com/bazelbuild/bazel/releases/download/$BAZEL_VERSION/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \
curl -H "User-Agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36" -fSsL -o /bazel/LICENSE.txt https://raw.githubusercontent.com/bazelbuild/bazel/master/LICENSE && \
chmod +x bazel-*.sh && \
./bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \
cd / && \
rm -f /bazel/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh
# Download and build TensorFlow.
WORKDIR /tensorflow
# Download and build TensorFlow.
# Enable checking out both tags and branches
RUN export TAG_PREFIX="v" && \
echo ${TF_BUILD_VERSION} | grep -q ^${TAG_PREFIX}; \
if [ $? -eq 0 ]; then \
git clone --depth=1 https://github.com/tensorflow/tensorflow.git . && \
git fetch --tags && \
git checkout ${TF_BUILD_VERSION}; \
else \
git clone --depth=1 --branch=${TF_BUILD_VERSION} https://github.com/tensorflow/tensorflow.git . ; \
fi
RUN yes "" | ${PYTHON} configure.py
ENV CI_BUILD_PYTHON ${PYTHON}
# Set bazel build parameters in .bazelrc in parameterized_docker_build.sh
# Use --copt=-march values to get optimized builds appropriate for the hardware
# platform of your choice.
# For ivy-bridge or sandy-bridge
# --copt=-march="avx" \
# For haswell, broadwell, or skylake
# --copt=-march="avx2" \
COPY .bazelrc /root/.bazelrc
RUN tensorflow/tools/ci_build/builds/configured CPU \
bazel --bazelrc=/root/.bazelrc build -c opt \
tensorflow/tools/pip_package:build_pip_package && \
bazel-bin/tensorflow/tools/pip_package/build_pip_package "${WHL_DIR}" && \
${PIP} --no-cache-dir install --upgrade "${WHL_DIR}"/tensorflow-*.whl && \
rm -rf /root/.cache
# Clean up Bazel cache when done.
# TensorBoard
EXPOSE 6006
# IPython
EXPOSE 8888
WORKDIR /root
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