class_docstr: A mixin class for all pre-trained classes to inherit.
      
class_docstr_tok: ["A","mixin","class","for","all","pre-trained","classes","to","inherit","."]
docstr: Initialize parameters of the pre-trained model. This method is only
  called if pre-trained checkpoints are not loaded.
docstr_tok: ["Initialize","parameters","of","the","pre-trained","model",".","This","method","is","only","called","if","pre-trained","checkpoints","are","not","loaded","."]
code: def reset_parameters(self):
      r"""Initialize parameters of the pre-trained model. This method is only
      called if pre-trained checkpoints are not loaded.
      """
      pass
  
imports: import os
  import sys
  from abc import ABCMeta, abstractmethod
  from pathlib import Path
  from texar.tf.data.data_utils import maybe_download
  from texar.tf.hyperparams import HParams
  from texar.tf.module_base import ModuleBase
label_desc: Use image node_id 5 for calling the PretrainedMixin obj's underlying member method code with example usage: obj.reset_parameters() without return types