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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def export_model(self):
 """ Exports latest saved model to .nn format for Unity embedding. """


        with self.graph.as_default():
            target_nodes = ','.join(self._process_graph())
            ckpt = tf.train.get_checkpoint_state(self.model_path)
            freeze_graph.freeze_graph(
                input_graph=self.model_path + '/raw_graph_def.pb',
                input_binary=True,
                input_checkpoint=ckpt.model_checkpoint_path,
                output_node_names=target_nodes,
                output_graph=(self.model_path + '/frozen_graph_def.pb'),
                clear_devices=True, initializer_nodes='', input_saver='',
                restore_op_name='save/restore_all',
                filename_tensor_name='save/Const:0')

        tf2bc.convert(self.model_path + '/frozen_graph_def.pb', self.model_path + '.nn')
        logger.info('Exported ' + self.model_path + '.nn file')