code: def _find_layer(self):
      if type(self.layer) == str:
          modules = dict([*self.net.named_modules()])
          return modules.get(self.layer, None)
      elif type(self.layer) == int:
          children = [*self.net.children()]
          return children[self.layer]
      return None
  
imports: import copy
  import random
  from functools import wraps, partial
  import torch
  from torch import nn, einsum
  import torch.nn.functional
  from torchvision import transforms
  from einops import rearrange, reduce, repeat
label_desc: Use image node_id 2 for calling the NetWrapper obj's underlying member method code with example usage: obj._find_layer() and returns: None, modules, children