791e7325a985bc8dd1a213c7cd1b1e888f934074,texar/modules/embedders/embedders.py,WordEmbedder,__init__,#WordEmbedder#Any#Any#Any#,50

Before Change

        self._dropout_layer = None
        if self._hparams.dropout_rate > 0.:
            with tf.variable_scope(tf.variable_scope):
                self._dropout_layer = tf.layers.Dropout(
                    rate=self._hparams.dropout_rate)

        if self._hparams.trainable:
            self._add_trainable_variable(self._embedding)

After Change

        self._vocab_size = vocab_size
        if vocab_size is None:
            self._vocab_size = self._num_embeds
        if self._vocab_size != self._num_embeds:
            raise ValueError(
                "vocab_size must equal to init_value.shape[0]."
                "Got %d and %d" % (self._vocab_size, self._num_embeds))

        self._built = True

    @staticmethod
    def default_hparams():

Instances