diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_audio.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_audio.py.swp
index 266c272df..3afcbcb3d 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_audio.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.data2vec_audio.py.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py
index 44da25cf3..a6e92adec 100644
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/data2vec_audio.py
@@ -490,8 +490,8 @@ class Data2VecAudioModel(BaseFairseqModel):
         
         ## for prompt tuning
         if prompt is not None:
+            print(features.size())
             conv_feat_all = torch.tensor([]).to(features.device)
-            print(conv_feat_all.size())
             for i in range(padding_mask.size()[0]):
                 nonzero = padding_mask[i].nonzero()
                 try: