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 f03492221..fd253046e 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 335827d99..b04515ccc 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
@@ -502,7 +502,7 @@ class Data2VecAudioModel(BaseFairseqModel):
                     conv_feat_all = torch.cat([conv_feat_all, features[i]])
             
             randint = np.random.randint(10000)
-            np.save(conv_feat_all.cpu().numpy(), f'/home/work/workspace/icefall/egs/librispeech/ASR/conv_feat/{randint}.npy')
+            np.save(f'/home/work/workspace/icefall/egs/librispeech/ASR/conv_feat/{randint}.npy', conv_feat_all.cpu().numpy())
             exit()
             
             prompt = prompt.expand((features.size()[0], prompt.size()[0], prompt.size()[1]))