mirror of
https://github.com/huggingface/pytorch-image-models.git
synced 2025-06-03 15:01:08 +08:00
31 lines
1.2 KiB
Python
31 lines
1.2 KiB
Python
|
from torch import optim as optim
|
||
|
|
from optim import Nadam, AdaBound
|
||
|
|
|
||
|
|
|
||
|
|
def create_optimizer(args, parameters):
|
||
|
|
if args.opt.lower() == 'sgd':
|
||
|
|
optimizer = optim.SGD(
|
||
|
|
parameters, lr=args.lr,
|
||
|
|
momentum=args.momentum, weight_decay=args.weight_decay, nesterov=True)
|
||
|
|
elif args.opt.lower() == 'adam':
|
||
|
|
optimizer = optim.Adam(
|
||
|
|
parameters, lr=args.lr, weight_decay=args.weight_decay, eps=args.opt_eps)
|
||
|
|
elif args.opt.lower() == 'nadam':
|
||
|
|
optimizer = Nadam(
|
||
|
|
parameters, lr=args.lr, weight_decay=args.weight_decay, eps=args.opt_eps)
|
||
|
|
elif args.opt.lower() == 'adabound':
|
||
|
|
optimizer = AdaBound(
|
||
|
|
parameters, lr=args.lr / 100, weight_decay=args.weight_decay, eps=args.opt_eps,
|
||
|
|
final_lr=args.lr)
|
||
|
|
elif args.opt.lower() == 'adadelta':
|
||
|
|
optimizer = optim.Adadelta(
|
||
|
|
parameters, lr=args.lr, weight_decay=args.weight_decay, eps=args.opt_eps)
|
||
|
|
elif args.opt.lower() == 'rmsprop':
|
||
|
|
optimizer = optim.RMSprop(
|
||
|
|
parameters, lr=args.lr, alpha=0.9, eps=args.opt_eps,
|
||
|
|
momentum=args.momentum, weight_decay=args.weight_decay)
|
||
|
|
else:
|
||
|
|
assert False and "Invalid optimizer"
|
||
|
|
raise ValueError
|
||
|
|
return optimizer
|