code: def average_tensors(tensors):
      result = tensors[0]
      for t in tensors[1:]:
          result += t
      return result / len(tensors)
  
file_path: text-to-text-transfer-transformer/t5/scripts/transform_checkpoints.py
imports: import os
  import re
  from absl import app
  from absl import flags
  from absl import logging
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling a global function with example usage: average_tensors(tensors) and returns: unknown