code: def forward(self, x, **kwargs):
      args = route_args(self.args_route, kwargs, len(self.layers))
      layers_and_args = list(zip(self.layers, args))
  
      for (f, g), (f_args, g_args) in layers_and_args:
          x = x + f(x, **f_args)
          x = x + g(x, **g_args)
      return x
  
imports: import torch
  import torch.nn.functional
  from einops import rearrange
  from torch import nn
label_desc: Use image node_id 2 for calling the SequentialSequence obj's underlying member method code with example usage: obj.forward(x) and returns: x