mipcandy.common.optim.lr_scheduler# Module Contents# Classes# AbsoluteLinearLR lr = kx + b PolyLRScheduler API# class mipcandy.common.optim.lr_scheduler.AbsoluteLinearLR(optimizer: torch.optim.Optimizer, k: float, b: float, *, min_lr: float = 1e-06, restart: bool = False, last_epoch: int = -1)[source]# Bases: torch.optim.lr_scheduler.LRScheduler lr = kx + b Initialization _interp(epoch: int) → float[source]# get_lr() → list[float][source]# class mipcandy.common.optim.lr_scheduler.PolyLRScheduler(optimizer: torch.optim.Optimizer, initial_lr: float, max_steps: int, *, exponent: float = 0.9, last_epoch: int = -1)[source]# Bases: torch.optim.lr_scheduler.LRScheduler _interp(epoch: int) → float[source]# get_lr() → list[float][source]#
