code: def __init__(self, fn, feature_dim):
      super().__init__()
      self.fn = fn
      self.norm = nn.LayerNorm(feature_dim)
  
imports: import math
  import torch
  from torch import nn
  from nemo.collections.tts.modules.submodules import ConvNorm
  from nemo.collections.tts.modules.transformer import PositionalEmbedding
label_desc: Use image node_id 1 to create a new PreNormResidual object from inherited base classes: nn with example: obj = PreNormResidual(fn, feature_dim)