Dockerfile.tf1.9-py36-cpu

FROM tinymind/base:py36-cpu

LABEL author="TinyMind" website="www.tinymind.com" email="hello@tinymind.com"

RUN ln -s -f /usr/bin/python3.6 /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=r1.9 --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 python3.6

RUN tensorflow/tools/ci_build/builds/configured CPU \
    bazel build -c opt --copt=-mavx --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 /root/pip && \
    pip --no-cache-dir install --upgrade /root/pip/tensorflow-*.whl && \
    rm -rf /root/.cache
# Clean up pip wheel and Bazel cache when done.

# TensorBoard
EXPOSE 6006
# IPython
EXPOSE 8888

WORKDIR /root