LRScheduler# class torch.optim.lr_scheduler.LRScheduler(optimizer, last_epoch=-1)[source]# Adjusts the learning rate during optimization. get_last_lr()[source]# Return last computed learning rate by current scheduler. Return type list[float] get_lr()[source]# Compute learning rate using chainable form of the scheduler. Return type list[float] load_state_dict(state_dict)[source]# Load the scheduler’s state. Parameters state_dict (dict) – scheduler state. Should be an object returned from a call to state_dict(). state_dict()[source]# Return the state of the scheduler as a dict. It contains an entry for every variable in self.__dict__ which is not the optimizer. Return type dict[str, Any] step(epoch=None)[source]# Perform a step.
