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optim.py
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optim.py
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import torch.optim as optim
def get_optimizer(models, args):
if args.optim == 'SGD':
optimizer = optim.SGD(models.parameters(),
lr = args.lr,
momentum = args.sgd_momentum,
weight_decay=args.weight_decay)
elif args.optim == 'Adam':
optimizer = optim.Adam(models.parameters(),
lr = args.lr,
betas = args.adam_betas,
weight_decay = args.weight_decay)
else:
raise NotImplementedError("Not expected optimizer: '%s'"%args.optim)
scheduler = None
if args.scheduler == None:
pass
elif args.scheduler == 'StepLR':
scheduler = optim.lr_scheduler.StepLR(optimizer = optimizer,
step_size = args.lr_stepsize,
gamma = args.lr_gamma)
elif args.scheduler == 'MStepLR':
scheduler = optim.lr_scheduler.MultiStepLR(optimizer = optimizer,
milestones = args.lr_milestones,
gamma = args.lr_gamma)
else:
raise NotImplementedError("Not expected scheduler: '%s'"%args.scheduler)
return optimizer, scheduler