code: def __init__(self, dim: int, fn: Module) -> None:
      super().__init__()
      self.norm = nn.LayerNorm(dim)
      self.fn = fn
  
imports: from typing import Any, Dict, Tuple
  import torch
  from torch import nn
  from kornia.core import Module, Tensor
label_desc: Use image node_id 1 to create a new PreNorm object from inherited base classes: Module with example: obj = PreNorm(dim, fn)