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31 changes: 11 additions & 20 deletions timm/scheduler/scheduler_factory.py
Original file line number Diff line number Diff line change
Expand Up @@ -21,6 +21,12 @@ def create_scheduler(args, optimizer):
noise_range = lr_noise * num_epochs
else:
noise_range = None
noise_args = dict(
noise_range_t=noise_range,
noise_pct=getattr(args, 'lr_noise_pct', 0.67),
noise_std=getattr(args, 'lr_noise_std', 1.),
noise_seed=getattr(args, 'seed', 42),
)

lr_scheduler = None
if args.sched == 'cosine':
Expand All @@ -34,10 +40,7 @@ def create_scheduler(args, optimizer):
warmup_t=args.warmup_epochs,
cycle_limit=getattr(args, 'lr_cycle_limit', 1),
t_in_epochs=True,
noise_range_t=noise_range,
noise_pct=getattr(args, 'lr_noise_pct', 0.67),
noise_std=getattr(args, 'lr_noise_std', 1.),
noise_seed=getattr(args, 'seed', 42),
**noise_args,
)
num_epochs = lr_scheduler.get_cycle_length() + args.cooldown_epochs
elif args.sched == 'tanh':
Expand All @@ -50,10 +53,7 @@ def create_scheduler(args, optimizer):
warmup_t=args.warmup_epochs,
cycle_limit=getattr(args, 'lr_cycle_limit', 1),
t_in_epochs=True,
noise_range_t=noise_range,
noise_pct=getattr(args, 'lr_noise_pct', 0.67),
noise_std=getattr(args, 'lr_noise_std', 1.),
noise_seed=getattr(args, 'seed', 42),
**noise_args,
)
num_epochs = lr_scheduler.get_cycle_length() + args.cooldown_epochs
elif args.sched == 'step':
Expand All @@ -63,10 +63,7 @@ def create_scheduler(args, optimizer):
decay_rate=args.decay_rate,
warmup_lr_init=args.warmup_lr,
warmup_t=args.warmup_epochs,
noise_range_t=noise_range,
noise_pct=getattr(args, 'lr_noise_pct', 0.67),
noise_std=getattr(args, 'lr_noise_std', 1.),
noise_seed=getattr(args, 'seed', 42),
**noise_args,
)
elif args.sched == 'multistep':
lr_scheduler = MultiStepLRScheduler(
Expand All @@ -75,10 +72,7 @@ def create_scheduler(args, optimizer):
decay_rate=args.decay_rate,
warmup_lr_init=args.warmup_lr,
warmup_t=args.warmup_epochs,
noise_range_t=noise_range,
noise_pct=getattr(args, 'lr_noise_pct', 0.67),
noise_std=getattr(args, 'lr_noise_std', 1.),
noise_seed=getattr(args, 'seed', 42),
**noise_args,
)
elif args.sched == 'plateau':
mode = 'min' if 'loss' in getattr(args, 'eval_metric', '') else 'max'
Expand All @@ -91,10 +85,7 @@ def create_scheduler(args, optimizer):
warmup_lr_init=args.warmup_lr,
warmup_t=args.warmup_epochs,
cooldown_t=0,
noise_range_t=noise_range,
noise_pct=getattr(args, 'lr_noise_pct', 0.67),
noise_std=getattr(args, 'lr_noise_std', 1.),
noise_seed=getattr(args, 'seed', 42),
**noise_args,
)

return lr_scheduler, num_epochs