code: def post_func(self, i):
      layer = self.layers[i]
  
      def func(nodes):
          x, wv, z = nodes.data["x"], nodes.data["wv"], nodes.data["z"]
          o = layer.self_attn.get_o(wv / z)
          x = x + layer.sublayer[0].dropout(o)
          x = layer.sublayer[1](x, layer.feed_forward)
          return {"x": x if i < self.N - 1 else self.norm(x)}
  
      return func
  
imports: from .config import *
  from .act import *
  from .attention import *
  from .viz import *
  from .layers import *
  from .functions import *
  from .embedding import *
  import threading
  import dgl.function
  import torch
  import torch.nn.init
label_desc: Use image node_id 3 for calling the Encoder obj's underlying member method code with example usage: obj.post_func(i) and returns: func, dict