code: def filter(self, model):
      if isinstance(model, AveragedModel):
          # prevent nested averagedmodel
          model = model.module
  
      if hasattr(model, "get_forward_model"):
          model = model.get_forward_model()
          # URERM models use URNetwork, which manages features internally.
          for m in model.modules():
              if isinstance(m, URResNet):
                  m.clear_features()
  
      return model
  
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 1 for calling the AveragedModel obj's underlying member method code with example usage: obj.filter(model) and returns: model