docker_pi.sh

git clone https://github.com/tensorflow/tensorflow tensorflow
cd tensorflow
docker build -t "tf-pi" -f tensorflow/tools/ci_build/Dockerfile.cpu tensorflow/tools/ci_build/
docker run -it tf-pi
# Commands after this are run on the Docker instance.
dpkg --add-architecture armhf
echo 'deb [arch=armhf] http://ports.ubuntu.com/ trusty main restricted universe multiverse' >> /etc/apt/sources.list.d/armhf.list
echo 'deb [arch=armhf] http://ports.ubuntu.com/ trusty-updates main restricted universe multiverse' >> /etc/apt/sources.list.d/armhf.list
echo 'deb [arch=armhf] http://ports.ubuntu.com/ trusty-security main restricted universe multiverse' >> /etc/apt/sources.list.d/armhf.list
echo 'deb [arch=armhf] http://ports.ubuntu.com/ trusty-backports main restricted universe multiverse' >> /etc/apt/sources.list.d/armhf.list
sed -i 's#deb http://archive.ubuntu.com/ubuntu/#deb [arch=amd64] http://archive.ubuntu.com/ubuntu/#g' /etc/apt/sources.list
apt-get update
apt-get install -y libpython-all-dev:armhf
echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | sudo tee /etc/apt/sources.list.d/bazel.list
curl https://bazel.build/bazel-release.pub.gpg | sudo apt-key add -
apt-get update
rm -rf /usr/local/bin/bazel
apt-get install -y bazel python python-numpy python-dev python-pip
git clone https://github.com/tensorflow/tensorflow tensorflow
cd tensorflow
third_party/toolchains/cpus/arm/build_raspberry_pi.sh
# On the host OS (change the path to the actual temp directory shown by the build output).
docker cp `docker ps -alq`:/tmp/tmp.smXLh20Qhj/tensorflow-1.3.0rc0-cp27-none-any.whl ~/Downloads/

was able to comment that __doc__ line out and everything is running fine now. so slowww tho, but that's another matter entirely