diff --git a/egs/tedlium2/ASR/conformer_ctc3/.conformer.py.swp b/egs/tedlium2/ASR/conformer_ctc3/.conformer.py.swp
index f2a9cb53d..c7b910186 100644
Binary files a/egs/tedlium2/ASR/conformer_ctc3/.conformer.py.swp and b/egs/tedlium2/ASR/conformer_ctc3/.conformer.py.swp differ
diff --git a/egs/tedlium2/ASR/conformer_ctc3/.train.py.swp b/egs/tedlium2/ASR/conformer_ctc3/.train.py.swp
index b28d8fb9a..ab81bbd4d 100644
Binary files a/egs/tedlium2/ASR/conformer_ctc3/.train.py.swp and b/egs/tedlium2/ASR/conformer_ctc3/.train.py.swp differ
diff --git a/egs/tedlium2/ASR/conformer_ctc3/train.py b/egs/tedlium2/ASR/conformer_ctc3/train.py
index 4f65612ab..fc4de5464 100755
--- a/egs/tedlium2/ASR/conformer_ctc3/train.py
+++ b/egs/tedlium2/ASR/conformer_ctc3/train.py
@@ -590,31 +590,31 @@ def compute_loss(
             )
             
             dense_fsa_vec_inter = [
-                #k2.DenseFsaVec(
-                #    nnet_output[1][2],
-                #    supervision_segments,
-                #    allow_truncate=params.subsampling_factor - 1,
-                #),
-                #k2.DenseFsaVec(
-                #    nnet_output[1][5],
-                #    supervision_segments,
-                #    allow_truncate=params.subsampling_factor - 1,
-                #),
+                k2.DenseFsaVec(
+                    nnet_output[1][2],
+                    supervision_segments,
+                    allow_truncate=params.subsampling_factor - 1,
+                ),
+                k2.DenseFsaVec(
+                    nnet_output[1][5],
+                    supervision_segments,
+                    allow_truncate=params.subsampling_factor - 1,
+                ),
                 k2.DenseFsaVec(
                     nnet_output[1][8],
                     supervision_segments,
                     allow_truncate=params.subsampling_factor - 1,
                 ),
-                #k2.DenseFsaVec(
-                #    nnet_output[1][11],
-                #    supervision_segments,
-                #    allow_truncate=params.subsampling_factor - 1,
-                #),
-                #k2.DenseFsaVec(
-                #    nnet_output[1][14],
-                #    supervision_segments,
-                #    allow_truncate=params.subsampling_factor - 1,
-                #)
+                k2.DenseFsaVec(
+                    nnet_output[1][11],
+                    supervision_segments,
+                    allow_truncate=params.subsampling_factor - 1,
+                ),
+                k2.DenseFsaVec(
+                    nnet_output[1][14],
+                    supervision_segments,
+                    allow_truncate=params.subsampling_factor - 1,
+                )
             ]
 
             ctc_loss = k2.ctc_loss(