code: def forward(self, x):
      for attn, ff in self.layers:
          x = attn(x) + x
          x = ff(x) + x
      return x
  
file_path: vit-pytorch/vit_pytorch/vit_1d.py
imports: import torch
  from torch import nn
  from einops import rearrange, repeat, pack, unpack
  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) and returns: x