diff --git a/egs/tedlium3/ASR/pruned_transducer_stateless_d2v_v2/.train_tta.py.swp b/egs/tedlium3/ASR/pruned_transducer_stateless_d2v_v2/.train_tta.py.swp
index e4b82d3c6..fed125ceb 100644
Binary files a/egs/tedlium3/ASR/pruned_transducer_stateless_d2v_v2/.train_tta.py.swp and b/egs/tedlium3/ASR/pruned_transducer_stateless_d2v_v2/.train_tta.py.swp differ
diff --git a/egs/tedlium3/ASR/pruned_transducer_stateless_d2v_v2/train_tta.py b/egs/tedlium3/ASR/pruned_transducer_stateless_d2v_v2/train_tta.py
index 0f6e67176..7bc7282b3 100755
--- a/egs/tedlium3/ASR/pruned_transducer_stateless_d2v_v2/train_tta.py
+++ b/egs/tedlium3/ASR/pruned_transducer_stateless_d2v_v2/train_tta.py
@@ -852,6 +852,7 @@ def compute_loss(
     
     token_ids = sp.encode(texts, out_type=int)
     y = k2.RaggedTensor(token_ids).to(device)
+    print(y)
 
     with torch.set_grad_enabled(is_training):
         simple_loss, pruned_loss, ctc_output = model(