class_docstr: Trains an instance of the Model class.
docstr: Args:
      model:
      train_loader:
      optimizer:
  
  Returns:
docstr_tok: ["Args",":","model",":","train_loader",":","optimizer",":","Returns",":"]
code: def train_one_epoch(self, pass_id: int) -> dict:
      """
  
      Args:
          model:
          train_loader:
          optimizer:
  
      Returns:
  
      """
      from paddlehub.utils.utils import Timer
  
      batch_sampler = self.trainer.batch_sampler
      train_loader = self.trainer.train_loader
      steps_per_epoch = len(batch_sampler)
      task_config = self.hparams.task_config
      task_type = task_config.task_type
      epochs = task_config.classifier.epochs
      timer = Timer(steps_per_epoch * epochs)
      timer.start()
      self.trainer.train_one_epoch(
          loader=train_loader,
          timer=timer,
          current_epoch=pass_id,
          epochs=epochs,
          log_interval=10,
          steps_per_epoch=steps_per_epoch,
      )
      return {"train_acc": 0}
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import time
  import six
  import os
  from typing import Dict, List, Optional, Union, Tuple
  from auto_augment.autoaug.utils import log
  import logging
  import auto_augment
label_desc: Use image node_id 8 for calling the HubFitterClassifer obj's underlying member method code with example usage: obj.train_one_epoch(pass_id) and returns: dict