21df1c732d01ef6a24605ce7bf551af584016829,opennmt/training.py,Trainer,__call__,#Trainer#Any#Any#Any#Any#Any#Any#Any#Any#,50

Before Change

      tf.get_logger().warning("Model already reached max_step = %d. Exiting.", max_step)
      return
    if evaluator is not None and evaluator.should_stop():
      tf.get_logger().warning("Early stopping conditions are already met. Exiting.")
      return

    self._gradient_accumulator.reset()
    self._words_counters.clear()

After Change

        https://www.tensorflow.org/api_docs/python/tf/train/ExponentialMovingAverage.
    
    if max_step is not None and self._optimizer.iterations.numpy() >= max_step:
      raise RuntimeError("The training already reached max_step (%d). If you "
                         "want to continue the training, you should increase the "
                         "max_step value in the training parameters." % max_step)
    if evaluator is not None and evaluator.should_stop():
      raise RuntimeError("The early stopping conditions are already met. If you "
                         "want to continue the training, you should update your "
                         "early stopping parameters.")

Instances