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save/load optimizer state #141

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Merged
merged 1 commit into from
Apr 12, 2017
Merged

save/load optimizer state #141

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18 changes: 10 additions & 8 deletions imagenet/main.py
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Original file line number Diff line number Diff line change
Expand Up @@ -71,14 +71,22 @@ def main():
else:
model = torch.nn.DataParallel(model).cuda()

# optionally resume from a checkpoint
# define loss function (criterion) and optimizer
criterion = nn.CrossEntropyLoss().cuda()

optimizer = torch.optim.SGD(model.parameters(), args.lr,
momentum=args.momentum,
weight_decay=args.weight_decay)

# optionally resume from a checkpoint
if args.resume:
if os.path.isfile(args.resume):
print("=> loading checkpoint '{}'".format(args.resume))
checkpoint = torch.load(args.resume)
args.start_epoch = checkpoint['epoch']
best_prec1 = checkpoint['best_prec1']
model.load_state_dict(checkpoint['state_dict'])
optimizer.load_state_dict(checkpoint['optimizer'])
print("=> loaded checkpoint '{}' (epoch {})"
.format(args.resume, checkpoint['epoch']))
else:
Expand Down Expand Up @@ -112,13 +120,6 @@ def main():
batch_size=args.batch_size, shuffle=False,
num_workers=args.workers, pin_memory=True)

# define loss function (criterion) and optimizer
criterion = nn.CrossEntropyLoss().cuda()

optimizer = torch.optim.SGD(model.parameters(), args.lr,
momentum=args.momentum,
weight_decay=args.weight_decay)

if args.evaluate:
validate(val_loader, model, criterion)
return
Expand All @@ -140,6 +141,7 @@ def main():
'arch': args.arch,
'state_dict': model.state_dict(),
'best_prec1': best_prec1,
'optimizer' : optimizer.state_dict(),
}, is_best)


Expand Down