diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.decode.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.decode.py.swp
index 02cf1418b..8cc211d7e 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.decode.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.decode.py.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/decode.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/decode.py
index 5338f14aa..194b98645 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/decode.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/decode.py
@@ -687,6 +687,17 @@ def main():
         load_checkpoint(f"{params.exp_dir}/{params.model_name}", model)
     elif 'lora' in params.model_name: 
         load_checkpoint(f"{params.exp_dir}/../d2v-base-T.pt", model)
+        
+        ## for lora hooking
+        lora_modules = []
+        for modules in model.modules():
+            if isinstance(modules, fairseq.modules.multihead_attention.MultiheadAttention):
+                for module in modules.modules():
+                    if isinstance(module, torch.nn.Linear):
+                        lora_modules.append(LoRAHook(module))
+
+        for i, lora in enuemrate(lora_modules):
+            
     else:
         if not params.use_averaged_model:
             if params.iter > 0: