add autodl

AutoDL-Projects/xautodl/config_utils/cls_kd_args.py

@@ -0,0 +1,43 @@
+import random, argparse
+from .share_args import add_shared_args
+
+
+def obtain_cls_kd_args():
+    parser = argparse.ArgumentParser(
+        description="Train a classification model on typical image classification datasets.",
+        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
+    )
+    parser.add_argument("--resume", type=str, help="Resume path.")
+    parser.add_argument("--init_model", type=str, help="The initialization model path.")
+    parser.add_argument(
+        "--model_config", type=str, help="The path to the model configuration"
+    )
+    parser.add_argument(
+        "--optim_config", type=str, help="The path to the optimizer configuration"
+    )
+    parser.add_argument("--procedure", type=str, help="The procedure basic prefix.")
+    parser.add_argument(
+        "--KD_checkpoint",
+        type=str,
+        help="The teacher checkpoint in knowledge distillation.",
+    )
+    parser.add_argument(
+        "--KD_alpha", type=float, help="The alpha parameter in knowledge distillation."
+    )
+    parser.add_argument(
+        "--KD_temperature",
+        type=float,
+        help="The temperature parameter in knowledge distillation.",
+    )
+    # parser.add_argument('--KD_feature',       type=float,                 help='Knowledge distillation at the feature level.')
+    add_shared_args(parser)
+    # Optimization options
+    parser.add_argument(
+        "--batch_size", type=int, default=2, help="Batch size for training."
+    )
+    args = parser.parse_args()
+
+    if args.rand_seed is None or args.rand_seed < 0:
+        args.rand_seed = random.randint(1, 100000)
+    assert args.save_dir is not None, "save-path argument can not be None"
+    return args