import tensorflow as tf

      image_classifier.train(
          input_fn=imagenet_train.input_fn, steps=train_steps_per_eval)
      current_step += train_steps_per_eval
      tf.logging.info('Starting evaluation at step=%d.' % current_step)
      eval_results = image_classifier.evaluate(
          input_fn=imagenet_eval.input_fn, steps=eval_steps, hooks=eval_hooks)
