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| import argparse | |
| def get_parser(): | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--name", type=str, default="test", help="run name") | |
| parser.add_argument("--arch", type=str, default="resnet_nodown", help="architecture name") | |
| parser.add_argument("--task", type=str, help="Task: train/test") | |
| parser.add_argument("--device", type=str, default="cuda:0", help="cuda device to use") | |
| parser.add_argument("--split_file", type=str, help="Path to split json") | |
| parser.add_argument("--data_root", type=str, help="Path to dataset") | |
| parser.add_argument("--data_keys", type=str, help="Dataset specifications") | |
| parser.add_argument("--batch_size", type=int, default=64, help='Dataloader batch size') | |
| parser.add_argument("--num_threads", type=int, default=14, help='# threads for loading data') | |
| parser.add_argument("--lr", type=float, default=0.0001, help="initial learning rate") | |
| parser.add_argument("--weight_decay", type=float, default=0.0, help="weight decay") | |
| parser.add_argument("--beta1", type=float, default=0.9, help="momentum term of adam") | |
| parser.add_argument("--num_epoches", type=int, default=1000, help="# of epoches at starting learning rate") | |
| parser.add_argument("--earlystop_epoch", type=int, default=5, help="Number of epochs without loss reduction before lowering the learning rate") | |
| return parser |