diff --git a/egs/librispeech/ASR/conformer_ctc2/.train.py.swp b/egs/librispeech/ASR/conformer_ctc2/.train.py.swp
index 9e8e4b1da..a53d063f9 100644
Binary files a/egs/librispeech/ASR/conformer_ctc2/.train.py.swp and b/egs/librispeech/ASR/conformer_ctc2/.train.py.swp differ
diff --git a/egs/librispeech/ASR/conformer_ctc2/train.py b/egs/librispeech/ASR/conformer_ctc2/train.py
index 2c2ea6192..2534be386 100755
--- a/egs/librispeech/ASR/conformer_ctc2/train.py
+++ b/egs/librispeech/ASR/conformer_ctc2/train.py
@@ -677,22 +677,10 @@ def compute_loss(
 
             ctc_loss = (1-params.interctc_weight) * ctc_loss + params.interctc_weight * inter_ctc_loss
         
-        if not params.interctc and not params.condition and params.group_num > 0:
-            dense_fsa_vec = k2.DenseFsaVec(
-                nnet_output[0],
-                supervision_segments,
-                allow_truncate=params.subsampling_factor - 1,
-            )
-            
-            ctc_loss = k2.ctc_loss(
-                decoding_graph=decoding_graph,
-                dense_fsa_vec=dense_fsa_vec,
-                output_beam=params.beam_size,
-                reduction=params.reduction,
-                use_double_scores=params.use_double_scores,
-            ) 
-            
-        if not params.interctc and not params.condition and params.group_num == 0:
+        if not params.interctc and not params.condition:
+            if type(nnet_output) == tuple:
+                nnet_output = nnet_output[0]
+
             dense_fsa_vec = k2.DenseFsaVec(
                 nnet_output,
                 supervision_segments,