diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp
index 86b07b914..20e6c9ea0 100644
Binary files a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp and b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train_adapter.py.swp differ
diff --git a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py
index f79b08d7a..c67f04dc7 100755
--- a/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py
+++ b/egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train_adapter.py
@@ -807,6 +807,8 @@ def compute_loss(
     if feature.ndim == 2:
         feature_lens = []
         for supervision in supervisions['cut']:
+            print(supervision)
+            exit()
             try: feature_lens.append(supervision.tracks[0].cut.recording.num_samples)
             except: feature_lens.append(supervision.recording.num_samples)
         feature_lens = torch.tensor(feature_lens)