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minor fix, remove t_mul passing to CosineLRScheduler #315

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minor fix, remove t_mul passing to CosineLRScheduler #315

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7 changes: 3 additions & 4 deletions lr_scheduler.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,7 +24,6 @@ def build_scheduler(config, optimizer, n_iter_per_epoch):
lr_scheduler = CosineLRScheduler(
optimizer,
t_initial=(num_steps - warmup_steps) if config.TRAIN.LR_SCHEDULER.WARMUP_PREFIX else num_steps,
t_mul=1.,
lr_min=config.TRAIN.MIN_LR,
warmup_lr_init=config.TRAIN.WARMUP_LR,
warmup_t=warmup_steps,
Expand Down Expand Up @@ -118,7 +117,7 @@ def get_update_values(self, num_updates: int):
class MultiStepLRScheduler(Scheduler):
def __init__(self, optimizer: torch.optim.Optimizer, milestones, gamma=0.1, warmup_t=0, warmup_lr_init=0, t_in_epochs=True) -> None:
super().__init__(optimizer, param_group_field="lr")

self.milestones = milestones
self.gamma = gamma
self.warmup_t = warmup_t
Expand All @@ -129,9 +128,9 @@ def __init__(self, optimizer: torch.optim.Optimizer, milestones, gamma=0.1, warm
super().update_groups(self.warmup_lr_init)
else:
self.warmup_steps = [1 for _ in self.base_values]

assert self.warmup_t <= min(self.milestones)

def _get_lr(self, t):
if t < self.warmup_t:
lrs = [self.warmup_lr_init + t * s for s in self.warmup_steps]
Expand Down