title: How is tf.summary.tensor_summary meant to be used?
body: <p>TensorFlow provides a <a href="https://www.tensorflow.org/api_docs/python/tf/summary/tensor_summary" rel="noreferrer"><code>tf.summary.tensor_summary()</code></a> function that appears to be a multidimensional variant of <a href="https://www.tensorflow.org/api_docs/python/tf/summary/scalar" rel="noreferrer"><code>tf.summary.scalar()</code></a>:</p>
  
  <pre class="lang-py prettyprint-override"><code>tf.summary.tensor_summary(name, tensor, summary_description=None, collections=None)
  </code></pre>
  
  <p>I thought it could be useful for summarizing inferred probabilities per class ... somewhat like</p>
  
  <pre class="lang-py prettyprint-override"><code>op_summary = tf.summary.tensor_summary('classes', some_tensor)
  # ...
  summary = sess.run(op_summary)
  writer.add_summary(summary)
  </code></pre>
  
  <p>However it appears that TensorBoard doesn't provide a way to display these summaries at all. How are they meant to be used?</p>