5a8b3ae5c48e299844e808e15e53b01ac0941cf1,opennmt/models/sequence_tagger.py,SequenceTagger,_build,#SequenceTagger#Any#Any#Any#Any#,57

Before Change

        log_likelihood, transition_params = tf.contrib.crf.crf_log_likelihood(
          logits,
          tf.cast(labels, tf.int32),
          self._features_length(features))
        loss = tf.reduce_mean(-log_likelihood)
      else:
        loss = masked_sequence_loss(

After Change

      encoder_outputs, encoder_states, encoder_sequence_length = self.encoder.encode(
        inputs,
        sequence_length=features["length"],
        mode=mode)

    with tf.variable_scope("generator"):

Instances