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 b0e6eaa25..dc7325cf1 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/.model.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.model.py.swp
index a7fc329d1..60ab5b44d 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.model.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.model.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 25d1c8699..3a9228396 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
@@ -492,9 +492,12 @@ class Data2VecAudioModel(BaseFairseqModel):
         if prompt is not None:
             #features = torch.cat([features, prompt])
             prompt = prompt.expand((features.size()[0], prompt.size()[0], prompt.size()[1]))
+            print(prompt.size())
             features = torch.cat([prompt, features])
+            print(features.size())
             prompt_padding_mask = torch.zeros(promt.size()).type(torch.BoolTensor).to(features.device)
             padding_mask = torch.cat([prompt_padding_mask, padding_mask])
+            print(padding_mask.size())
 
         features = self.layer_norm(features)