5a8b3ae5c48e299844e808e15e53b01ac0941cf1,opennmt/models/sequence_to_sequence.py,SequenceToSequence,_build,#SequenceToSequence#Any#Any#Any#Any#,79

Before Change

    if mode != tf.estimator.ModeKeys.PREDICT:
      loss = masked_sequence_loss(
        decoder_outputs,
        self.target_embedder.get_data_field(labels, "ids_out"),
        self._labels_length(labels))

      return tf.estimator.EstimatorSpec(

After Change

    if mode != tf.estimator.ModeKeys.PREDICT:
      loss = masked_sequence_loss(
        decoder_outputs,
        labels["ids_out"],
        labels["length"])

      return tf.estimator.EstimatorSpec(
        mode,

Instances