diff --git a/egs/librispeech/ASR/conformer_ctc2/.conformer.py.swp b/egs/librispeech/ASR/conformer_ctc2/.conformer.py.swp
index 19088f777..f0eecb305 100644
Binary files a/egs/librispeech/ASR/conformer_ctc2/.conformer.py.swp and b/egs/librispeech/ASR/conformer_ctc2/.conformer.py.swp differ
diff --git a/egs/librispeech/ASR/conformer_ctc2/.decode.py.swp b/egs/librispeech/ASR/conformer_ctc2/.decode.py.swp
index 7b734f910..67d6febf7 100644
Binary files a/egs/librispeech/ASR/conformer_ctc2/.decode.py.swp and b/egs/librispeech/ASR/conformer_ctc2/.decode.py.swp differ
diff --git a/egs/librispeech/ASR/conformer_ctc2/decode.py b/egs/librispeech/ASR/conformer_ctc2/decode.py
index 48836920b..0ab55ef43 100755
--- a/egs/librispeech/ASR/conformer_ctc2/decode.py
+++ b/egs/librispeech/ASR/conformer_ctc2/decode.py
@@ -319,6 +319,8 @@ def decode_one_batch(
     supervisions = batch["supervisions"]
 
     nnet_output, memory, memory_key_padding_mask = model(feature, supervisions)
+    print(type(nnet_output))
+    exit()
     # nnet_output is (N, T, C)
 
     supervision_segments = torch.stack(