code: def __init__(
      self,
      blocks,
      layer_dropout=0.0,
      reverse_thres=0,
      send_signal=False,
  ):
      super().__init__()
      self.layer_dropout = layer_dropout
      self.reverse_thres = reverse_thres
  
      self.blocks = nn.ModuleList(
          [
              ReversibleBlock(f, g, depth, send_signal)
              for depth, (f, g) in enumerate(blocks)
          ]
      )
      self.irrev_blocks = nn.ModuleList(
          [IrreversibleBlock(f=f, g=g) for f, g in blocks]
      )
  
imports: import torch
  import torch.nn
  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 ReversibleSequence object from inherited base classes: nn with example: obj = ReversibleSequence(blocks, layer_dropout, reverse_thres, send_signal)