diff --git a/egs/librispeech/ASR/conformer_ctc/transformer.py b/egs/librispeech/ASR/conformer_ctc/transformer.py
index 2722e5ba6..086201267 100644
--- a/egs/librispeech/ASR/conformer_ctc/transformer.py
+++ b/egs/librispeech/ASR/conformer_ctc/transformer.py
@@ -276,7 +276,6 @@ class Transformer(nn.Module):
         # We set the first column to False since the first column in ys_in_pad
         # contains sos_id, which is the same as eos_id in our current setting.
         tgt_key_padding_mask[:, 0] = False
-        #  tgt_key_padding_mask = decoder_padding_mask(ys_in_pad)
 
         tgt = self.decoder_embed(ys_in_pad)  # (N, T) -> (N, T, C)
         tgt = self.decoder_pos(tgt)
@@ -322,7 +321,6 @@ class Transformer(nn.Module):
         """
         # The common part between this function and decoder_forward could be
         # extracted as a separate function.
-
         ys_in = add_sos(token_ids, sos_id=sos_id)
         ys_in = [torch.tensor(y) for y in ys_in]
         ys_in_pad = pad_sequence(ys_in, batch_first=True, padding_value=eos_id)
@@ -341,7 +339,6 @@ class Transformer(nn.Module):
 
         tgt_key_padding_mask = decoder_padding_mask(ys_in_pad, ignore_id=eos_id)
         tgt_key_padding_mask[:, 0] = False
-        #  tgt_key_padding_mask = decoder_padding_mask(ys_in_pad)
 
         tgt = self.decoder_embed(ys_in_pad)  # (B, T) -> (B, T, F)
         tgt = self.decoder_pos(tgt)