code: def eq_state_dicts(state_dict_1, state_dict_2):
      """Checks if the model weights in state_dict_1 and state_dict_2 are equal.
  
      Args:
          state_dict_1 (dict): state_dict of a PyTorch model
          state_dict_2 (dict): state_dict of a PyTorch model
  
      Requires:
          state_dict_1 and state_dict_2 to be from the same model
  
      Returns:
          bool: Returns True if all model weights are equal in state_dict_1 and state_dict_2
      """
      for key_item_1, key_item_2 in zip(
          state_dict_1.items(), state_dict_2.items()
      ):
          if torch.equal(key_item_1[1], key_item_2[1]):
              pass
          else:
              return False
      return True
  
imports: import copy
  import math
  import os
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.utils.data import Dataset, DataLoader
label_desc: Use image node_id 14 for calling a global function with example usage: eq_state_dicts(state_dict_1, state_dict_2) and returns: True, False