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Diffstat (limited to 'tensorflow/tools/docker/Dockerfile')
| -rw-r--r-- | tensorflow/tools/docker/Dockerfile | 100 |
1 files changed, 100 insertions, 0 deletions
diff --git a/tensorflow/tools/docker/Dockerfile b/tensorflow/tools/docker/Dockerfile new file mode 100644 index 0000000000..02d8837858 --- /dev/null +++ b/tensorflow/tools/docker/Dockerfile @@ -0,0 +1,100 @@ +FROM ipython/notebook:latest + +MAINTAINER Craig Citro <craigcitro@google.com> + +# Set up Bazel. +# Install dependencies for bazel. +RUN apt-get update && apt-get install -y \ + pkg-config \ + zip \ + g++ \ + zlib1g-dev \ + unzip \ + swig \ + software-properties-common \ + wget + +# We need to add a custom PPA to pick up JDK8, since trusty doesn't +# have an openjdk8 backport. openjdk-r is maintained by a reliable contributor: +# Matthias Klose (https://launchpad.net/~doko). It will do until +# we either update the base image beyond 14.04 or openjdk-8 is +# finally backported to trusty; see e.g. +# https://bugs.launchpad.net/trusty-backports/+bug/1368094 +RUN add-apt-repository -y ppa:openjdk-r/ppa && \ + apt-get update && \ + apt-get install -y openjdk-8-jdk openjdk-8-jre-headless + +# Set up CUDA variables and symlinks +COPY cuda /usr/local/cuda +ENV CUDA_PATH /usr/local/cuda +ENV LD_LIBRARY_PATH /usr/local/cuda/lib64 +RUN ln -s libcuda.so.1 /usr/lib/x86_64-linux-gnu/libcuda.so + +# 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" >>/root/.bazelrc +# Similarly, we need to workaround sandboxing issues: +# https://github.com/bazelbuild/bazel/issues/418 +RUN echo "build --spawn_strategy=standalone --genrule_strategy=standalone" \ + >>/root/.bazelrc +ENV BAZELRC /root/.bazelrc +# Install the most recent bazel release. +ENV BAZEL_VERSION 0.1.1 +WORKDIR / +RUN mkdir /bazel && \ + cd /bazel && \ + wget https://github.com/bazelbuild/bazel/releases/download/$BAZEL_VERSION/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \ + wget -O /bazel/LICENSE.txt https://raw.githubusercontent.com/bazelbuild/bazel/master/LICENSE.txt + 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 +# Pick up some TF dependencies +RUN apt-get update && \ + apt-get install -y python-numpy && \ + apt-get install -y libfreetype6-dev + +# We can't clone the TF git repo yet, because of permissions issues. +# RUN git clone https://tensorflow.googlesource.com/ +# Instead, we manually copy it in: +COPY tensorflow /tensorflow + +# Set up the CUDA tensorflow directories +RUN rm -rf /tensorflow/third_party/gpus/cuda/lib64 +RUN rm -rf /tensorflow/third_party/gpus/cuda/bin +RUN rm -rf /tensorflow/third_party/gpus/cuda/include +RUN rm -rf /tensorflow/third_party/gpus/cuda/nvvm +RUN ln -s /usr/local/cuda/lib64 /tensorflow/third_party/gpus/cuda/ +RUN ln -s /usr/local/cuda/bin /tensorflow/third_party/gpus/cuda/ +RUN ln -s /usr/local/cuda/include /tensorflow/third_party/gpus/cuda/ +RUN ln -s /usr/local/cuda/nvvm /tensorflow/third_party/gpus/cuda/ + +# Now we build +RUN bazel clean && \ + bazel build -c opt --config=cuda tensorflow/tools/docker:simple_console + +ENV PYTHONPATH=/tensorflow/bazel-bin/tensorflow/tools/docker/simple_console.runfiles/:$PYTHONPATH + +# Add any notebooks in this directory. +COPY notebooks /notebooks + +# Add variables for the local IPython. This sets a fixed password and +# switches to HTTP (to avoid self-signed certificate warnings in +# Chrome). +ENV PASSWORD=JustForNow +ENV USE_HTTP=1 + +RUN if [ -f /notebooks/requirements.txt ];\ + then pip install -r /notebooks/requirements.txt;\ + fi + +# Set the workdir so we see notebooks on the IPython landing page. +WORKDIR /notebooks + +# Remove CUDA libraries, headers, nvcc. The user will have to +# provide this directly when running docker. +RUN rm -rf /usr/local/cuda |