code: def prep_data_parallel_models(self):
      self.prep_a_data_parallel_model(
          self.train_model, self.train_dataset, True
      )
      self.prep_a_data_parallel_model(
          self.test_model, self.test_dataset, False
      )
  
imports: from abc import abstractmethod
  from caffe2.python import workspace
  from caffe2.python import timeout_guard
  from caffe2.python import data_parallel_model
  from .None import checkpoint
  from .None import ModuleRegister
  from .None import module_map
  import os
  import inspect
  import time
  import logging
label_desc: Use image node_id 32 for calling the AnyExpTrainer obj's underlying member method code with example usage: obj.prep_data_parallel_models() without return types