Пример #1
0
    def main(self):
        logger.info(f'starting amdgpu-fan')
        speed_by_card = {}
        while True:
            for name, card in self._scanner.cards.items():
                current_speed = speed_by_card.get(name)
                # Reset current speed if it is off for more than 10%
                if current_speed is not None and abs(current_speed -
                                                     card.fan_speed) > 10:
                    current_speed = None

                temp = card.gpu_temp

                speed = max(0, int(self.curve.get_speed(int(temp))))
                if current_speed is not None and current_speed >= speed:
                    speed = max(
                        0,
                        int(self.curve.get_speed(int(temp) + self.temp_drop)))
                    if current_speed <= speed:
                        continue

                logger.debug(
                    f'{name}: Temp {temp}, Setting fan speed to: {speed}, fan speed: {card.fan_speed}, min: {card.fan_min}, max: {card.fan_max}'
                )

                card.set_fan_speed(speed)
                speed_by_card[name] = speed

            time.sleep(self._interval)
Пример #2
0
    def main(self):
        logger.info(f'starting amdgpu-fan')
        while True:
            for name, card in self._scanner.cards.items():
                temp = card.gpu_temp
                speed = int(self.curve.get_speed(int(temp)))
                if speed < 0:
                    speed = 0

                logger.debug(f'{name}: Temp {temp}, Setting fan speed to: {speed}, fan speed{card.fan_speed}, min:{card.fan_min}, max:{card.fan_max}')

                card.set_fan_speed(speed)
            time.sleep(self._frequency)
Пример #3
0
def load_config(path):
    logger.debug(f'loading config from {path}')
    with open(path) as f:
        return yaml.load(f, Loader=yaml.FullLoader)
Пример #4
0
def load_config(path):
    logger.debug(f'loading config from {path}')
    with open(path) as f:
        return yaml.safe_load(f)