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 13b3abd87..8b03636eb 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 d90de5f94..b70c491bd 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
@@ -1605,13 +1605,11 @@ def run_adapter(rank, world_size, args, wb=None):
     lora_modules = []
     for modules in model.modules():
         if isinstance(modules, fairseq.modules.multihead_attention.MultiheadAttention):
-            if rank == 0: logging.info(modules)
-            '''
             for module in modules.modules():
+                if rank == 0: logging.info(modules)
                 #print(module)
-                if isinstance(module, torch.nn.Linear):
-                    lora_modules.append(LoRAHook(module))
-            '''
+                #if isinstance(module, torch.nn.Linear):
+                #    lora_modules.append(LoRAHook(module))
     
     adapter_names = []
     adapter_param = []