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
1 / ratio th of the original value. Then the momentum increases
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
Registered as a
MomentumScheduler with name "inverted_triangular".