code: def get_key(self) -> str:
      return (
          super().get_key()
          + f"_{'_'.join(step.get_key() for step in self.pipeline)}"
      )
  
imports: import abc
  from typing import List, Optional
  import torch
  import torch.nn.functional
label_desc: Use image node_id 3 for calling the PipelineLogitProcessor obj's underlying member method code with example usage: obj.get_key() and returns: unknown