Aquila-Consortium/map2map
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Change adversary optim scheduler to sync with model optim scheduler

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This commit is contained in:
Yin Li 2020-01-20 16:25:15 -05:00
parent e7d2435a96
commit 2b7e559910
1 changed files with 4 additions and 3 deletions
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7
map2map/train.py
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@ -102,7 +102,7 @@ def gpu_worker(local_rank, args):
weight_decay=args.weight_decay,
)
scheduler = torch.optim.lr_scheduler.ReduceLROnPlateau(optimizer,
factor=0.5, patience=3, verbose=True)
factor=0.1, patience=10, verbose=True)
adv_model = adv_criterion = adv_optimizer = adv_scheduler = None
args.adv = args.adv_model is not None
@ -130,7 +130,8 @@ def gpu_worker(local_rank, args):
betas=(0.5, 0.999),
weight_decay=args.adv_weight_decay,
)
adv_scheduler = torch.optim.lr_scheduler.StepLR(adv_optimizer, 30, gamma=0.1)
adv_scheduler = torch.optim.lr_scheduler.ReduceLROnPlateau(adv_optimizer,
factor=0.1, patience=10, verbose=True)
if args.load_state:
state = torch.load(args.load_state, map_location=args.device)
@ -185,7 +186,7 @@ def gpu_worker(local_rank, args):
scheduler.step(epoch_loss[0])
if args.adv:
adv_scheduler.step()
adv_scheduler.step(epoch_loss[0])
if args.rank == 0:
print(end='', flush=True)