def METHOD_NAME(sess, checkpoint):
  """Loads a checkpoint file into the session."""
  model_saver = tf.train.Saver(tf.global_variables())
  checkpoint = os.path.expanduser(checkpoint)
  if tf.gfile.IsDirectory(checkpoint):
    checkpoint = tf.train.latest_checkpoint(checkpoint)
    tf.logging.info('loading latest checkpoint file: {}'.format(checkpoint))
  model_saver.restore(sess, checkpoint)