code: def forward(self, *args):
      x = args[0]
      x = self.sublayer(*args) + x
      return self.layer_normalization(x)
  
imports: from collections import OrderedDict
  import os
  import numpy
  import torch
  from torch import nn
  from gluoncv.torch.utils.coot_utils import truncated_normal_fill
label_desc: Use image node_id 2 for calling the Sublayer obj's underlying member method code with example usage: obj.forward() and returns: self