code: def forward(self, *args, **kwargs):
      #  return self.predict(*args, **kwargs)
      return self.module(*args, **kwargs)
  
imports: import copy
  import warnings
  import math
  from copy import deepcopy
  import torch
  from torch.nn import Module
  from torch.optim.lr_scheduler import _LRScheduler
  from domainbed.ur_networks import URResNet
label_desc: Use image node_id 3 for calling the AveragedModel obj's underlying member method code with example usage: obj.forward() and returns: self