title: Using TPU on Cloud ML Engine
body: <p>I am trying to use TPU on Cloud ML Engine but I am at a loss as to how I should provide the <code>tpu</code> argument which <code>TPUClusterResolver</code> expects.</p>
  
  <p>This is the environment I am using:</p>
  
  <pre><code>--python-version 3.5 \
  --runtime-version 1.12 \
  --region us-central1 \
  --scale-tier BASIC_TPU
  </code></pre>
  
  <p>The job crashes with:</p>
  
  <pre><code>ValueError: Please provide a TPU Name to connect to.
  </code></pre>
  
  <p>As a separate issue - ML engine seems to be adding <code>--master grpc://10.129.152.2:8470</code> on its own to my job which also crashes the job. As a workaround for it I just added an un-used master flag to my code.</p>