[Feature] Add tools to convert distill ckpt to student-only ckpt.

tools/model_converters/convert_kd_ckpt_to_student.py

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+# Copyright (c) OpenMMLab. All rights reserved.
+import argparse
+from pathlib import Path
+
+import torch
+
+
+def parse_args():
+    parser = argparse.ArgumentParser(
+        description='Convert KD checkpoint to student-only checkpoint')
+    parser.add_argument('checkpoint', help='input checkpoint filename')
+    parser.add_argument('--out-path', help='save checkpoint path')
+    parser.add_argument(
+        '--inplace', action='store_true', help='replace origin ckpt')
+    args = parser.parse_args()
+    return args
+
+
+def main():
+    args = parse_args()
+    checkpoint = torch.load(args.checkpoint, map_location='cpu')
+    new_state_dict = dict()
+    new_meta = checkpoint['meta']
+
+    for key, value in checkpoint['state_dict'].items():
+        if key.startswith('architecture.'):
+            new_key = key.replace('architecture.', '')
+            new_state_dict[new_key] = value
+
+    checkpoint = dict()
+    checkpoint['meta'] = new_meta
+    checkpoint['state_dict'] = new_state_dict
+
+    if args.inplace:
+        torch.save(checkpoint, args.checkpoint)
+    else:
+        ckpt_path = Path(args.checkpoint)
+        ckpt_name = ckpt_path.stem
+        if args.out_path:
+            ckpt_dir = Path(args.out_path)
+        else:
+            ckpt_dir = ckpt_path.parent
+        new_ckpt_path = ckpt_dir / f'{ckpt_name}_student.pth'
+        torch.save(checkpoint, new_ckpt_path)
+
+
+if __name__ == '__main__':
+    main()