code: def _graph_replay(self, *inputs, **kwargs):
      for i in range(len(inputs)):
          if torch.is_tensor(inputs[i]):
              self.static_inputs[i].copy_(inputs[i])
      for k in kwargs:
          if torch.is_tensor(kwargs[k]):
              self.static_kwargs[k].copy_(kwargs[k])
      self._cuda_graphs.replay()
      return self.static_output
  
imports: import torch
label_desc: Use image node_id 2 for calling the DSUNet obj's underlying member method code with example usage: obj._graph_replay() and returns: self