class_docstr: Runtime parameter.
  
  Currently only supported on KubeflowDagRunner.
  
  For protos, use text type RuntimeParameter, which holds the proto json
  string, e.g., `'{"num_steps": 5}'` for TrainArgs proto.
  
  Attributes:
    name: The name of the runtime parameter.
    default: Default value for runtime params when it's not explicitly
      specified.
    ptype: The type of the runtime parameter.
    description: Description of the usage of the parameter.
docstr: RuntimeParameter is uniquely identified by its name.
docstr_tok: ["RuntimeParameter","is","uniquely","identified","by","its","name","."]
code: def __hash__(self):
      """RuntimeParameter is uniquely identified by its name."""
      return self.name.__hash__()
  
imports: from typing import Any, Dict, List, Optional, Type, Union
  from tfx import types
  from tfx.dsl.placeholder import placeholder
  from tfx.utils import json_utils
label_desc: Use image node_id 4 for calling the RuntimeParameter obj's underlying member method code with example usage: obj.__hash__() and returns: self