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def set_template(args):
# Set the templates here
if args.template.find('jpeg') >= 0:
args.data_train = 'DIV2K_jpeg'
args.data_test = 'DIV2K_jpeg'
args.epochs = 200
args.decay = '100'
if args.template.find('EDSR_paper') >= 0:
args.model = 'EDSR'
args.n_resblocks = 32
args.n_feats = 256
args.res_scale = 0.1
if args.template.find('MDSR') >= 0:
args.model = 'MDSR'
args.patch_size = 48
args.epochs = 650
if args.template.find('DDBPN') >= 0:
args.model = 'DDBPN'
args.patch_size = 128
args.scale = '4'
args.data_test = 'Set5'
args.batch_size = 20
args.epochs = 1000
args.decay = '500'
args.gamma = 0.1
args.weight_decay = 1e-4
args.loss = '1*MSE'
if args.template.find('GAN') >= 0:
args.epochs = 200
args.lr = 5e-5
args.decay = '150'
if args.template.find('RCAN') >= 0:
args.model = 'RCAN'
args.n_resgroups = 10
args.n_resblocks = 20
args.n_feats = 64
args.chop = True
if args.template.find('VDSR') >= 0:
args.model = 'VDSR'
args.n_resblocks = 20
args.n_feats = 64
args.patch_size = 41
args.lr = 1e-1
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