subfuncs.py 文件源码

def __call__(self, trainer):
        """Decides whether the extension should be called on this iteration.

        Args:
            trainer (~chainer.training.Trainer): Trainer object that this
                trigger is associated with. The ``observation`` of this trainer
                is used to determine if the trigger should fire.

        Returns:
            bool: ``True`` if the corresponding extension should be invoked in
                this iteration.

        """

        observation = trainer.observation
        summary = self._summary
        key = self._key
        if key in observation:
            summary.add({key: observation[key]})

        if not self._interval_trigger(trainer):
            return False

        stats = summary.compute_mean()
        value = float(stats[key])  # copy to CPU
        self._init_summary()

        if self._best_value is None or self._compare(self._best_value, value):
            self._best_value = value
            return False
        return True