import tensorflow as tf


  values = []
  bleu = 100 * bleu_hook.bleu_wrapper(
      decode_hparams.decode_reference, decode_hparams.decode_to_file)
  values.append(tf.Summary.Value(tag="BLEU", simple_value=bleu))
  tf.logging.info("%s: BLEU = %6.2f" % (decode_hparams.decode_to_file, bleu))
  if hook_args.hparams.mlperf_mode:
    current_step = decode_hparams.mlperf_decode_step
