def __init__(self, optimizer=None, scheduler=None):
        """
        Args:
            optimizer (torch.optim.Optimizer):
            scheduler (torch.optim.LRScheduler or fvcore.common.param_scheduler.ParamScheduler):
                if a :class:`ParamScheduler` object, it defines the multiplier over the base LR
                in the optimizer.

        If any argument is not given, will try to obtain it from the trainer.
        """
        self._optimizer = optimizer
        self._scheduler = scheduler

        Args:
            optimizer (torch.optim.Optimizer):
            scheduler (torch.optim.LRScheduler or fvcore.common.param_scheduler.ParamScheduler):
                if a :class:`ParamScheduler` object, it defines the multiplier over the base LR
                in the optimizer.

        If any argument is not given, will try to obtain it from the trainer.
        
video_chat_with_ChatGPT/models/grit_src/third_party/CenterNet2/detectron2/engine/hooks.py