diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_lora.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_lora.py.swp
index 37e5b443c..9d7582dd4 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_lora.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_lora.py.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_lora.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_lora.py
index 1788243ff..4c25feaf3 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_lora.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_lora.py
@@ -1606,13 +1606,13 @@ def run_adapter(rank, world_size, args, wb=None):
     lora_modules = []
     for modules in model.modules():
         if isinstance(modules, fairseq.modules.multihead_attention.MultiheadAttention):
-            lora_modules.append(LoRAHook(modules))
-            #for module in modules.modules():
+            #lora_modules.append(LoRAHook(modules))
+            for module in modules.modules():
             #    if rank == 0: logging.info(module)
                 #print(module)
-                #if isinstance(module, torch.nn.Linear):
+                if isinstance(module, torch.nn.Linear):
                     #if rank == 0: print(module)
-                    #lora_modules.append(LoRAHook(module))
+                    lora_modules.append(LoRAHook(module))
     
     adapter_names = []
     adapter_param = []