def METHOD_NAME(self):
    """Traverse the tuning space."""
    # Quantize model with default config
    super().METHOD_NAME()
    if self.best_qmodel:
        logger.info("[Strategy] Found the model meets accuracy requirements, ending the tuning process.")
        return
    elif self.config.tuning_criterion.max_trials == 1:
        logger.info(
            "[Strategy] Not found the model meets accuracy requirements,\
            but the max trial is 1, ending the tuning process."
        )
    else:
        # Start to try different strategies sequentially
        self.sequential_traverse()