ab6f9e4c489beea3bec518d60629c0f8af0b6123,opennmt/runner.py,Runner,train,#Runner#Any#,263

Before Change

            accum_num_words,
            last_report_time)
      if step % save_checkpoints_steps == 0 or step == train_steps:
        path = checkpoint_manager.save(checkpoint_number=step)
        tf.get_logger().info("Saved checkpoint %s", path)
      if step == train_steps:
        break

After Change

      for key, value in six.iteritems(num_words):
        accum_num_words[key] += value.numpy()
      step = optimizer.iterations.numpy()
      if step == last_step:
        continue
      last_step = step
      if step % report_every == 0:
        last_report_time = _report_training_status(
            step,

Instances