def METHOD_NAME(pianorolls):
  """Prints statistics of given pianorolls, such as max and unique length."""
  if isinstance(pianorolls, np.ndarray):
    tf.logging.info(pianorolls.shape)
  tf.logging.info('# of total pieces in set: %d', len(pianorolls))
  lengths = [len(roll) for roll in pianorolls]
  if len(np.unique(lengths)) > 1:
    tf.logging.info('lengths %s', np.sort(lengths))
  tf.logging.info('max_len %d', max(lengths))
  tf.logging.info(
      'unique lengths %s',
      np.unique(sorted(pianoroll.shape[0] for pianoroll in pianorolls)))
  tf.logging.info('shape %s', pianorolls[0].shape)