cifar.py [25:70]:
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parser.add_argument('--model', default=None, type=str,
                    help='model type')
parser.add_argument('-j', '--workers', default=4, type=int,
                    help='number of data loading workers')
parser.add_argument('--epochs', default=100, type=int,
                    help='number of total epochs to run')
parser.add_argument('-b', '--batch_size', default=128, type=int,
                    help='mini-batch size')
parser.add_argument('--lr', '--learning-rate', default=0.1, type=float,
                    help='initial learning rate')
parser.add_argument('--momentum', default=0.9, type=float,
                    help='momentum')
parser.add_argument('--weight_decay', '--wd', default=5e-4, type=float,
                   help='weight decay (default: 1e-4)')
parser.add_argument('--print-freq', '-p', default=10, type=int,
                    help='print frequency')
parser.add_argument('--dataset', default='cifar10', type=str,
                    help='dataset (cifar10/cifar100)')
parser.add_argument('--no-verbose', dest='verbose', action='store_false',
                    help='to print every n iterations')
parser.add_argument('--exp_dir', default='./exp', type=str,
                    help='exp dir')
parser.add_argument('--data_dir', default='./data', type=str,
                    help='data dir')
parser.add_argument('--corrupt_data_dir', default=None, type=str,
                    help='corruption data dir')
parser.add_argument('--exp_id', default='cnsn-wrn-cifar', type=str,
                    help='exp id')
parser.add_argument('--resume', default=None, type=str,
                    help='resume from checkpoint')
parser.add_argument('--evaluate', action='store_true',
                    help='evaluate or not')
parser.add_argument('--cn_prob', default=None, type=float,
                    help='crossnorm probability')
parser.add_argument('--active_num', default=None, type=int,
                    help='active crossnorm num')
parser.add_argument('--pos', default=None, type=str,
                    help='position of cnsn inside a residual module')
parser.add_argument('--beta', default=None, type=float,
                    help='beta distribution to sample the'
                         ' ratio of a cropping bbx for crossnorm')
parser.add_argument('--crop', default=None, type=str,
                    help='crop a bbx in 2-instance crossnorm: '
                         'neither/style/content/both')
parser.add_argument('--cnsn_type', default=None, type=str,
                    help='sn/cn/cnsn, type of using selfnorm and crossnorm')
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imagenet.py [20:65]:
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parser.add_argument('--model', default=None, type=str,
                    help='model type')
parser.add_argument('-j', '--workers', default=4, type=int,
                    help='number of data loading workers')
parser.add_argument('--epochs', default=100, type=int,
                    help='number of total epochs to run')
parser.add_argument('-b', '--batch_size', default=128, type=int,
                    help='mini-batch size')
parser.add_argument('--lr', '--learning-rate', default=0.1, type=float,
                    help='initial learning rate')
parser.add_argument('--momentum', default=0.9, type=float,
                    help='momentum')
parser.add_argument('--weight_decay', '--wd', default=5e-4, type=float,
                   help='weight decay (default: 1e-4)')
parser.add_argument('--print-freq', '-p', default=10, type=int,
                    help='print frequency')
parser.add_argument('--dataset', default='cifar10', type=str,
                    help='dataset (cifar10/cifar100)')
parser.add_argument('--no-verbose', dest='verbose', action='store_false',
                    help='to print every n iterations')
parser.add_argument('--exp_dir', default='./exp', type=str,
                    help='exp dir')
parser.add_argument('--data_dir', default='./data', type=str,
                    help='data dir')
parser.add_argument('--corrupt_data_dir', default=None, type=str,
                    help='corruption data dir')
parser.add_argument('--exp_id', default='cnsn-wrn-cifar', type=str,
                    help='exp id')
parser.add_argument('--resume', default=None, type=str,
                    help='resume from checkpoint')
parser.add_argument('--evaluate', action='store_true',
                    help='evaluate or not')
parser.add_argument('--cn_prob', default=None, type=float,
                    help='crossnorm probability')
parser.add_argument('--active_num', default=None, type=int,
                    help='active crossnorm num')
parser.add_argument('--pos', default=None, type=str,
                    help='position of cnsn inside a residual module')
parser.add_argument('--beta', default=None, type=float,
                    help='beta distribution to sample the'
                         ' ratio of a cropping bbx for crossnorm')
parser.add_argument('--crop', default=None, type=str,
                    help='crop a bbx in 2-instance crossnorm: '
                         'neither/style/content/both')
parser.add_argument('--cnsn_type', default=None, type=str,
                    help='sn/cn/cnsn, type of using selfnorm and crossnorm')
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