def create_model(args):
if args.arch == 'wideresnet':
import models.wideresnet as models
model = models.build_wideresnet(depth=args.model_depth,
widen_factor=args.model_width,
dropout=0,
num_classes=args.num_classes)
elif args.arch == 'resnext':
import models.resnext as models
model = models.build_resnext(cardinality=args.model_cardinality,
depth=args.model_depth,
width=args.model_width,
num_classes=args.num_classes)
logger.info("Total params: {:.2f}M".format(sum(p.numel() for p in model.parameters())/1e6))
return model
def create_model(arch):
if arch == 'wideresnet':
import models.wideresnet as models
model = models.build_wideresnet(depth=depth,
widen_factor=widen_factor,
dropout=0,
num_classes=num_classes).to(device)
elif arch == 'resnext':
import models.resnext as models
model = models.build_resnext(cardinality=cardinality,
depth=depth,
width=width,
num_classes=num_classes).to(device)
print('Total params: {:.2f}M'.format(
sum(p.numel() for p in model.parameters()) / 1e6))
return model
