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

Before Change

        self._vocab_size = vocab_size

        self._embedding = embedder_utils.get_embedding(
            self._hparams, init_value, self._vocab_size, self.variable_scope)

        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)

        if self._vocab_size is None:
            self._vocab_size = self._embedding.get_shape().as_list()[0]

        self._dim = self._embedding.get_shape().as_list()[1:]
        if len(self._dim) == 1:
            self._dim = self._dim[0]

        self._built = True

    @staticmethod

After Change

        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

Instances