code: def __init__(self, layers, args_route={}):
      super().__init__()
      assert all(
          len(route) == len(layers) for route in args_route.values()
      ), "each argument route map must have the same depth as the number of sequential layers"
      self.layers = layers
      self.args_route = args_route
  
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 1 to create a new SequentialSequence object from inherited base classes: nn with example: obj = SequentialSequence(layers, args_route)