class_docstr: A module that builds on top of model.
  
  Args:
      name (str): Module name, also the variable scope.
docstr: State info specification.
  
  Returns:
      List[str]: keys and shapes for the information related to the
          module's state when taking an action.
docstr_tok: ["State","info","specification",".","Returns",":","List","[","str","]",":","keys","and","shapes","for","the","information","related","to","the","module","'s","state","when","taking","an","action","."]
code: def state_info_specs(self):
      """State info specification.
  
      Returns:
          List[str]: keys and shapes for the information related to the
              module's state when taking an action.
  
      """
      return list()
  
imports: import abc
  import tensorflow
  from garage.np import flatten_tensors, unflatten_tensors
label_desc: Use image node_id 4 for calling the Module obj's underlying member method code with example usage: obj.state_info_specs() and returns: list