code: def init_train_and_eval(
      self,
      train_dataset: paddle.io.Dataset,
      epochs: int = 1,
      batch_size: int = 1,
      num_workers: int = 0,
      eval_dataset: paddle.io.Dataset = None,
      log_interval: int = 10,
      save_interval: int = 10,
  ) -> None:
      self.batch_sampler, self.train_loader = self.init_train(
          train_dataset, batch_size, num_workers
      )
      self.eval_loader = self.init_evaluate(
          eval_dataset, batch_size, num_workers
      )
  
file_path: PaddleHub/demo/autoaug/paddlehub_utils/trainer.py
imports: import os
  from collections import defaultdict
  import paddle
  from paddle.distributed import ParallelEnv
  from paddlehub.finetune.trainer import Trainer
  from paddlehub.utils.log import logger
  from paddlehub.utils.utils import Timer
label_desc: Use image node_id 2 for calling the CustomTrainer obj's underlying member method code with example usage: obj.init_train_and_eval(train_dataset, epochs, batch_size, num_workers, eval_dataset, log_interval, save_interval) without return types