code: def log_softmax(x):
      e_x = np.exp(x - np.max(x))
      return np.log(e_x / e_x.sum())
  
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 3 for calling a global function with example usage: log_softmax(x) and returns: np