code: def _hash(tensor):
      content = tf.make_tensor_proto(tensor).SerializeToString()
      return hashlib.md5(content).hexdigest()
  
file_path: neural-structured-learning/research/multi_representation_adversary/multi_representation_adversary/evaluator.py
imports: import functools
  import hashlib
  import os
  import time
  from absl import logging
  import gin
  from multi_representation_adversary import data
  from multi_representation_adversary import helper
  from multi_representation_adversary import resnet
  import tensorflow.compat.v2
label_desc: Use image node_id 1 for calling a global function with example usage: _hash(tensor) and returns: hashlib