code: def get_embedding(self, x):
      if self.layer == -1:
          return self.net(x)
  
      if not self.hook_registered:
          self._register_hook()
  
      self.hidden.clear()
      _ = self.net(x)
      hidden = self.hidden[x.device]
      self.hidden.clear()
  
      assert (
          hidden is not None
      ), f"hidden layer {self.layer} never emitted an output"
      return hidden
  
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 7 for calling the NetWrapper obj's underlying member method code with example usage: obj.get_embedding(x) and returns: hidden, self