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 8ea8ee60e..bc367915e 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 9c1f28bdb..e67fd6a28 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
@@ -509,7 +509,7 @@ class Data2VecAudioModel(BaseFairseqModel):
                         conv_feat_all = torch.cat([conv_feat_all, features[i]])
                 
                 randint = np.random.randint(10000)
-                np.save(f'/home/work/workspace/icefall/egs/librispeech/ASR/conv_feat/{sid}/{randint}.npy', conv_feat_all.cpu().numpy())
+                np.save(f'{spk_dir}/{randint}.npy', conv_feat_all.cpu().numpy())
             
             prompt = prompt.expand((features.size()[0], prompt.size()[0], prompt.size()[1]))
             features = torch.cat([prompt, features], dim=1)