| 16 | |
| 17 | |
| 18 | def parse_args(): |
| 19 | parser = argparse.ArgumentParser('argument for training') |
| 20 | |
| 21 | parser.add_argument('--batch-size', type=int, default=512, |
| 22 | help='batch_size') |
| 23 | parser.add_argument('--num-workers', type=int, default=10, |
| 24 | help='num of workers to use') |
| 25 | |
| 26 | parser.add_argument('--epochs', type=int, default=100, |
| 27 | help='number of training epochs') |
| 28 | parser.add_argument('--gpu', type=int, default=0, |
| 29 | help='gpu index used for training') |
| 30 | |
| 31 | # model dataset |
| 32 | parser.add_argument('--model', type=str, default='resnet18') |
| 33 | parser.add_argument('--load-pretrained', type=str, default='no') |
| 34 | parser.add_argument('--dataset', type=str, default='CIFAR10', |
| 35 | help='dataset') |
| 36 | parser.add_argument('--num-class', type=int, default=10, |
| 37 | help='number of classes') |
| 38 | parser.add_argument('--training_type', type=str, default="Normal", |
| 39 | help='Normal, LabelSmoothing, AdvReg, DP, MixupMMD, PATE') |
| 40 | parser.add_argument('--inference-dataset', type=str, default='CIFAR10', |
| 41 | help='if yes, load pretrained attack model to inference') |
| 42 | parser.add_argument('--attack_type', type=str, default='black-box', |
| 43 | help='attack type: "black-box", "black-box-sorted", "black-box-top3", "metric-based", and "label-only"') |
| 44 | parser.add_argument('--data-path', type=str, default='../datasets/', |
| 45 | help='data_path') |
| 46 | parser.add_argument('--input-shape', type=str, default="32,32,3", |
| 47 | help='comma delimited input shape input') |
| 48 | parser.add_argument('--log_path', type=str, |
| 49 | default='./save', help='') |
| 50 | |
| 51 | args = parser.parse_args() |
| 52 | |
| 53 | args.input_shape = [int(item) for item in args.input_shape.split(',')] |
| 54 | args.device = 'cuda:%d' % args.gpu if torch.cuda.is_available() else 'cpu' |
| 55 | |
| 56 | return args |
| 57 | |
| 58 | |
| 59 | def get_target_model(name="resnet18", num_classes=10): |