How to use the census.tensorflowcore.trainer.task.EvaluationRunHook function in census

args.eval_files,
          num_epochs=None if args.eval_steps else 1,
          batch_size=args.eval_batch_size,
          shuffle=False
      )
      # Accuracy and AUROC metrics
      # model.model_fn returns the dict when EVAL mode
      metric_dict = model.model_fn(
          model.EVAL,
          features.copy(),
          labels,
          hidden_units=hidden_units,
          learning_rate=args.learning_rate
      )

    hooks = [EvaluationRunHook(
        args.job_dir,
        metric_dict,
        evaluation_graph,
        args.eval_frequency,
        eval_steps=args.eval_steps,
    )]
  else:
    hooks = []

  # Create a new graph and specify that as default.
  with tf.Graph().as_default():
    # Placement of ops on devices using replica device setter
    # which automatically places the parameters on the `ps` server
    # and the `ops` on the workers.
    #
    # See: