code: def after_forward(self, qkv_inp: TQKV, qkv_out: TQKV) -> TQKV:
      return qkv_out
  
imports: from torch import nn
  from torch import Tensor
  from typing import Any
  from typing import List
  from typing import Tuple
  from typing import Optional
  from torch.nn import Module
label_desc: Use image node_id 1 for calling the IAttentionHook obj's underlying member method code with example usage: obj.after_forward(qkv_inp, qkv_out) and returns: qkv_out