class_docstr: Inverting action
class_docstr_tok: ["Inverting","action"]
code: def input_prototype(self) -> Tuple[torch.Tensor]:
      return (torch.randn(1, self.num_output_features),)
  
file_path: ReAgent/reagent/preprocessing/postprocessor.py
imports: from typing import Dict, Tuple
  import torch
  import torch.nn
  from reagent.core.parameters import NormalizationParameters
  from reagent.preprocessing.identify_types import CONTINUOUS_ACTION, DISCRETE_ACTION, DO_NOT_PREPROCESS
  from reagent.preprocessing.normalization import EPS, get_num_output_features
label_desc: Use image node_id 2 for calling the Postprocessor obj's underlying member method code with example usage: obj.input_prototype() and returns: torch