code: def pb(name, data, display_name=None, description=None):
      """Create a legacy text summary protobuf.
  
      Arguments:
        name: A name for the generated node. Will also serve as a series name in
          TensorBoard.
        data: A Python bytestring (of type bytes), or Unicode string. Or a numpy
          data array of those types.
        display_name: Optional name for this summary in TensorBoard, as a
          `str`. Defaults to `name`.
        description: Optional long-form description for this summary, as a
          `str`. Markdown is supported. Defaults to empty.
  
      Raises:
        ValueError: If the type of the data is unsupported.
  
      Returns:
        A `tf.Summary` protobuf object.
      """
      # TODO(nickfelt): remove on-demand imports once dep situation is fixed.
      import tensorflow.compat.v1 as tf
  
      try:
          tensor = tf.make_tensor_proto(data, dtype=tf.string)
      except TypeError as e:
          raise ValueError(e)
  
      if display_name is None:
          display_name = name
      summary_metadata = metadata.create_summary_metadata(
          display_name=display_name, description=description
      )
      tf_summary_metadata = tf.SummaryMetadata.FromString(
          summary_metadata.SerializeToString()
      )
      summary = tf.Summary()
      summary.value.add(
          tag="%s/text_summary" % name,
          metadata=tf_summary_metadata,
          tensor=tensor,
      )
      return summary
  
imports: from tensorboard.plugins.text import metadata
  from tensorboard.plugins.text import summary_v2
label_desc: Use image node_id 2 for calling a global function with example usage: pb(name, data, display_name, description) and returns: summary