class_docstr: Test agents for distilling Transformer generator models.
docstr: Return a dict of strings of agent classes specifically for this model type.
  
  'wide_distillation' and 'narrow_distillation' keys required.
docstr_tok: ["Return","a","dict","of","strings","of","agent","classes","specifically","for","this","model","type",".","'wide_distillation","'","and","'narrow_distillation","'","keys","required","."]
code: def _get_agents(self) -> Dict[str, str]:
      """
      Return a dict of strings of agent classes specifically for this model type.
  
      'wide_distillation' and 'narrow_distillation' keys required.
      """
  
imports: import random
  from abc import ABC, abstractmethod
  from math import floor, log10
  from typing import Dict
  import numpy
  import pytest
  import torch
  from pytest_regressions.data_regression import DataRegressionFixture
  import parlai.utils.testing
  from parlai.core.opt import Opt
  from parlai.core.teachers import register_teacher, DialogTeacher
  from parlai.utils.data import DatatypeHelper
  from parlai.zoo.bart.build import download
  from parlai.zoo.blender.blender_90M import download
label_desc: Use image node_id 6 for calling the AbstractTestDistillation obj's underlying member method code with example usage: obj._get_agents() without return types