code: def forward(self, x, fmap_dims):
      pos_emb = self.pos_emb(x[:, 1:])
  
      for attn, ff in self.layers:
          x = attn(x, pos_emb=pos_emb, fmap_dims=fmap_dims) + x
          x = ff(x) + x
      return x
  
imports: from math import sqrt, pi, log
  import torch
  from torch import nn, einsum
  import torch.nn.functional
  from einops import rearrange, repeat
  from einops.layers.torch import Rearrange
label_desc: Use image node_id 2 for calling the Transformer obj's underlying member method code with example usage: obj.forward(x, fmap_dims) and returns: x