code: def __init__(self, f, g, depth=None, send_signal=False):
      super().__init__()
      self.f = Deterministic(f)
      self.g = Deterministic(g)
  
      self.depth = depth
      self.send_signal = send_signal
  
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 ReversibleBlock object from inherited base classes: nn with example: obj = ReversibleBlock(f, g, depth, send_signal)