text: # import tensorflow as tf
  import joblib
  import os
  import copy
  
  # sess = tf.Session()
  # sess.__enter__()
  
  # load_path = os.getcwd() + '/retrain_att/att_str_retrain2.pkl'
  # dump_path = os.getcwd() + '/retrain_att/att_str_retrain2.pkl'
  # loaded_params = joblib.load(os.path.expanduser(load_path))
  # new_params = {}
  # # print(type(loaded_params))
  # keys = loaded_params.keys()
  #
  # for key in keys:
  #     a = key.replace('att_str_retrain0','att_str_epoch4')
  #     new_params[a] = loaded_params[key]
  #
  #
  # joblib.dump(new_params, dump_path)
  
  
  
  # load_path = os.getcwd() + '/attacker_strategies/att_str_epoch9.pkl'
  load_path1 = os.getcwd() + '/defender_strategies/def_str_epoch2.pkl'
  load_path2 = os.getcwd() + '/defender_strategies/def_str_epoch3.pkl'
  
  loaded_params1 = joblib.load(os.path.expanduser(load_path1))
  loaded_params2 = joblib.load(os.path.expanduser(load_path2))
  for i in loaded_params1.keys():
      print(i)
      print(loaded_params1[i])
      print("______________________________")
      print(loaded_params1[i]-loaded_params2[i])
      print("*******************************************")