Run TPU workloads in a Docker container

Docker containers make configuring applications easier by combining your code and all needed dependencies in one distributable package. You can run Docker containers within TPU VMs to simplify configuring and sharing your Cloud TPU applications. This document describes how to set up a Docker container for each ML framework supported by Cloud TPU.