FROM ubuntu:16.04 LABEL maintainer="Craig Citro " RUN apt-get update && apt-get install -y --no-install-recommends \ build-essential \ curl \ git \ libcurl3-dev \ libfreetype6-dev \ libpng12-dev \ libzmq3-dev \ pkg-config \ python-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 \ ipykernel \ jupyter \ matplotlib \ numpy \ scipy \ sklearn \ pandas \ && \ python -m ipykernel.kernelspec # RUN ln -s -f /usr/bin/python3 /usr/bin/python# # 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 0.11.0 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 RUN git clone --branch=r1.7 --depth=1 https://github.com/tensorflow/tensorflow.git . # TODO(craigcitro): Don't install the pip package, since it makes it # more difficult to experiment with local changes. Instead, just add # the built directory to the path. ENV CI_BUILD_PYTHON python RUN tensorflow/tools/ci_build/builds/configured CPU \ bazel build -c opt --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0" \ # For optimized builds appropriate for the hardware platform of your choosing, uncomment below... # For ivy-bridge or sandy-bridge # --copt=-march="ivybridge" \ # for haswell, broadwell, or skylake # --copt=-march="haswell" \ tensorflow/tools/pip_package:build_pip_package && \ bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/pip && \ pip --no-cache-dir install --upgrade /tmp/pip/tensorflow-*.whl && \ rm -rf /tmp/pip && \ rm -rf /root/.cache # Clean up pip wheel and Bazel cache when done. # TensorBoard EXPOSE 6006 # IPython EXPOSE 8888 WORKDIR /root