InvertedTriangular(self, optimizer:torch.optim.optimizer.Optimizer, cool_down:int, warm_up:int, ratio:int=10, last_epoch:int=-1) -> None

Adjust momentum during training according to an inverted triangle-like schedule.

The momentum starts off high, then decreases linearly for cool_down epochs, until reaching 1 / ratio th of the original value. Then the momentum increases linearly for warm_up epochs until reaching its original value again. If there are still more epochs left over to train, the momentum will stay flat at the original value.