89b081ed3659557e75c8d95a30d1170ddf53cc88,texar/modules/embedders/position_embedders.py,PositionEmbedder,_build,#PositionEmbedder#Any#Any#Any#,102

Before Change

        embedding = self._embedding
        if self._dropout_layer is not None:
            is_training = utils.is_train_mode(mode)
            embedding = self._dropout_layer.apply(
                inputs=embedding, training=is_training)

        inputs = positions
        if inputs is None:
            if sequence_length is None:

After Change

        dropout_layer = self._get_dropout_layer(self._hparams, inputs)
        if dropout_layer:
            is_training = utils.is_train_mode(mode)
            if self._hparams.dropout_strategy == "item_type":
                embedding = dropout_layer.apply(
                    inputs=embedding, training=is_training)

        outputs = tf.nn.embedding_lookup(embedding, inputs, **kwargs)

        if dropout_layer and self._hparams.dropout_strategy != "item_type":
            outputs = dropout_layer.apply(

Instances