code: def pb(name, data, display_name=None, description=None):
    
    # 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
docs: 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.