code: def forward(self, x):
      for ssa, ff1, peg, iwsa, ff2 in self.layers:
          x = ssa(x) + x
          x = ff1(x) + x
  
          if exists(peg):
              x = peg(x)
  
          x = iwsa(x) + x
          x = ff2(x) + x
  
      return self.norm(x)
  
imports: from functools import partial
  import torch
  from torch import nn
  from einops import rearrange, repeat
  from einops.layers.torch import Rearrange, Reduce
label_desc: Use image node_id 2 for calling the Transformer obj's underlying member method code with example usage: obj.forward(x) and returns: self