97aba3c01eaebd8123974eea22b0ddb739a51555,opennmt/models/sequence_tagger.py,SequenceTagger,_build,#SequenceTagger#Any#Any#Any#Any#,61

Before Change

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

    with tf.variable_scope("generator"):

After Change

    return dataset, process_fn, padded_shapes_fn

  def _build(self, features, labels, params, mode):
    length = self._get_features_length(features)

    with tf.variable_scope("encoder"):
      inputs = self.inputter.transform_data(
          features,

Instances