code: def forward(self, x, **kwargs):
      x = torch.cat([x, x], dim=-1)
  
      blocks = self.blocks
      args = route_args(self.args_route, kwargs, len(blocks))
      args = list(map(lambda x: {"f_args": x[0], "g_args": x[1]}, args))
  
      out = _ReversibleFunction.apply(x, blocks, args)
      return torch.stack(out.chunk(2, dim=-1)).sum(dim=0)
  
imports: import torch
  import torch.nn
  from operator import itemgetter
  from torch.autograd.function import Function
  from torch.utils.checkpoint import get_device_states, set_device_states
label_desc: Use image node_id 2 for calling the ReversibleSequence obj's underlying member method code with example usage: obj.forward(x) and returns: torch