a598bab314fcd5352f70597d3bb8506c47254cc5,texar/modules/decoders/rnn_decoder_base.py,RNNDecoderBase,_build,#RNNDecoderBase#,112

Before Change

        outputs, final_state, sequence_lengths = dynamic_decode(
            decoder=self, maximum_iterations=max_decoding_length)

        self._add_internal_trainable_variables()
        // Add trainable variables of `self._cell` which may be constructed
        // externally.
        self._add_trainable_variable(
            layers.get_rnn_cell_trainable_variables(self._cell))

After Change

        outputs, final_state, sequence_lengths = dynamic_decode(
            decoder=self, maximum_iterations=max_decoding_length)

        if not self._built:
            self._add_internal_trainable_variables()
            // Add trainable variables of `self._cell` which may be
            // constructed externally.
            self._add_trainable_variable(
                layers.get_rnn_cell_trainable_variables(self._cell))
            if isinstance(self._output_layer, tf.layers.Layer):
                self._add_trainable_variable(
                    self._output_layer.trainable_variables)
            self._built = True

        return outputs, final_state, sequence_lengths

    def _rnn_output_size(self):
        size = self._cell.output_size

Instances