code: def hyp_score(log_probs, length, length_penalty):
      lp = paddle.pow(
          (5.0 + paddle.cast(length, "float32")) / 6.0, length_penalty
      )
      return log_probs / lp
  
imports: from __future__ import division
  from __future__ import absolute_import
  from __future__ import print_function
  from __future__ import unicode_literals
  import sys
  import re
  import argparse
  import logging
  import json
  import numpy
  from collections import namedtuple
  import paddle
  import paddle.nn
  import numpy
  from paddlenlp.utils.log import logger
label_desc: Use image node_id 5 for calling a global function with example usage: hyp_score(log_probs, length, length_penalty) and returns: unknown