code: def __init__(
      self, block, num_blocks, params, num_channel=3, num_classes=10
  ):
      super(MeanResnet, self).__init__(
          block, num_blocks, params, num_channel, num_classes
      )
      self.linear2 = nn.Linear(params[4] * block.expansion, num_classes)
  
imports: import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new MeanResnet object from inherited base classes: ResNet with example: obj = MeanResnet(block, num_blocks, params, num_channel, num_classes)