code: def __init__(self, sublayer, model_dim):
      super(Sublayer, self).__init__()
      self.sublayer = sublayer
      self.layer_normalization = LayerNormalization(model_dim)
  
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 1 to create a new Sublayer object from inherited base classes: nn with example: obj = Sublayer(sublayer, model_dim)