da37438735fd4b845bb0874562bd071865c480bb,texar/modules/encoders/rnn_encoders.py,RNNEncoderBase,__init__,#RNNEncoderBase#Any#Any#Any#,49

Before Change

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

    @staticmethod
    def default_hparams():
        Returns a dictionary of hyperparameters with default values.

After Change

        RNNEncoderBase.__init__(self, hparams)

        // Make RNN cells
        with tf.variable_scope(self.variable_scope):
            if cell_fw is not None:
                self._cell_fw = cell_fw
            else:
                self._cell_fw = layers.get_rnn_cell(self._hparams.rnn_cell_fw)

            if cell_bw is not None:
                self._cell_bw = cell_bw
            elif self.hparams.rnn_cell_share_config:
                self._cell_bw = layers.get_rnn_cell(self._hparams.rnn_cell_fw)
            else:
                self._cell_bw = layers.get_rnn_cell(self._hparams.rnn_cell_bw)

    @staticmethod
    def default_hparams():
        Returns a dictionary of hyperparameters with default values.

Instances