Method mark

ppq/quantization/algorithm/exprimental.py:43–44

(self, rewards: float)

        return selected

    def mark(self, rewards: float):
        self.rewards[self.last_selected].push(rewards)

    def finalize(self) -> bool:
        self.config.scale = self.reference * self.arms[np.argmax([ema.pop() for ema in self.rewards])]