[Fix] Add init_cfg

mmpretrain/models/peft/lora.py

@@ -1,7 +1,7 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 import math
 import re
-from typing import Any, List
+from typing import Any, List, Optional
 
 import torch
 from mmengine.logging import print_log
@@ -75,6 +75,8 @@ class LoRAModel(BaseModule):
         drop_rate (float): The drop out rate for LoRA. Defaults to 0.
         targets (List[dict]): The target layers to be applied with the LoRA.
             Defaults to a empty list.
+        init_cfg (dict, optional): Initialization config dict.
+            Defaults to None.
 
     Examples:
         >>> model = LoRAModel(
@@ -93,9 +95,10 @@ class LoRAModel(BaseModule):
                  alpha: int = 1,
                  rank: int = 0,
                  drop_rate: float = 0.,
-                 targets: List[dict] = list()):
+                 targets: List[dict] = list(),
+                 init_cfg: Optional[dict] = None):
 
-        super().__init__()
+        super().__init__(init_cfg)
 
         module = MODELS.build(module)
         module.init_weights()