code: def forward_post(self, tgt):
      tgt2 = self.linear2(
          self.dropout(self.activation(self.linear1(tgt)))
      )
      tgt = tgt + self.dropout(tgt2)
      tgt = self.norm(tgt)
      return tgt
  
imports: import copy
  import math
  from typing import Optional
  import torch
  import torch.nn.functional
  from torch import Tensor, nn
label_desc: Use image node_id 4 for calling the FFNLayer obj's underlying member method code with example usage: obj.forward_post(tgt) and returns: tgt