无可设置的属性

Do nothing 无可设置的属性

ReduceLROnPlateauConfig继承SchedulerConfig的所有属性，同时它还有以下属性：

Attribute name	Type	Default	Description
mode	str	'min'	One of min, max.In min mode, lr will be reduced when val loss has stopped decreasing;in max mode it will be reduced when val accuracy has stopped increasing. Default: ‘min’.
factor	float	0.1	Factor by which the learning rate will be reduced. new_lr = lr * factor. Default: 0.1.
patience	int	10	Number of epochs with no improvement after which learning rate will be reduced.For example, if patience = 2, then we will ignore the first 2 epochs with no improvement,and will only decrease the LR after the 3rd epoch if the loss still hasn’t improved then. Default: 10.
verbose	bool	True	If True, prints a message to stdout for each update. Default: True.
threshold	float	1e-4	Threshold for measuring the new optimum, to only focus on significant changes. Default: 1e-4.
threshold_mode	str	"rel"	One of rel, abs. In rel mode, dynamic_threshold = best * (1 + threshold) in ‘max’ mode or best * (1 - threshold)in min mode. In abs mode, dynamic_threshold = best + threshold in max mode or best-threshold in min mode.
cooldown	int	0	Number of epochs to wait before resuming normal operation after lr has been reduced. Default: 0.
min_lr	float	0.	A lower bound on the learning rate of all param groups or each group respectively. Default: 0.
eps	float	1e-8	Minimal decay applied to lr. If the difference between new and old lr is smaller than eps, the update is ignored.

StepLRConfig继承SchedulerConfig的所有属性，同时它还有以下属性：

Attribute name	Type	Default	Description
step_size	int	10	Period of learning rate decay.
gamma	float	0.5	Multiplicative factor of learning rate decay. Default: 0.1.

MultiStepLRConfig继承SchedulerConfig的所有属性，同时它还有以下属性：

Attribute name	Type	Default	Description
milestones	List[int]	[5, 10, 15]	List of epoch indices. Must be increasing.
gamma	float	0.5	Multiplicative factor of learning rate decay. Default: 0.1.

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