greeter_summary.py 文件源码

def op(name,
       guest,
       display_name=None,
       description=None,
       collections=None):
  """Create a TensorFlow summary op to greet the given guest.

  Arguments:
    name: A name for this summary operation.
    guest: A rank-0 string `Tensor`.
    display_name: If set, will be used as the display name
      in TensorBoard. Defaults to `name`.
    description: A longform readable description of the summary data.
      Markdown is supported.
    collections: Which TensorFlow graph collections to add the summary
      op to. Defaults to `['summaries']`. Can usually be ignored.
  """

  # The `name` argument is used to generate the summary op node name.
  # That node name will also involve the TensorFlow name scope.
  # By having the display_name default to the name argument, we make
  # the TensorBoard display clearer.
  if display_name is None:
    display_name = name

  # We could put additional metadata other than the PLUGIN_NAME,
  # but we don't need any metadata for this simple example.
  summary_metadata = tf.SummaryMetadata(
      display_name=display_name,
      summary_description=description,
      plugin_data=tf.SummaryMetadata.PluginData(
          plugin_name=PLUGIN_NAME,
          content=''))

  message = tf.string_join(['Hello, ', guest, '!'])

  # Return a summary op that is properly configured.
  return tf.summary.tensor_summary(
      name,
      message,
      summary_metadata=summary_metadata,
      collections=collections)