diff --git a/egs/aishell/ASR/conformer_ctc/.transformer.py.swp b/egs/aishell/ASR/conformer_ctc/.transformer.py.swp
index b8c661804..c92d73f15 100644
Binary files a/egs/aishell/ASR/conformer_ctc/.transformer.py.swp and b/egs/aishell/ASR/conformer_ctc/.transformer.py.swp differ
diff --git a/egs/aishell/ASR/conformer_ctc/transformer.py b/egs/aishell/ASR/conformer_ctc/transformer.py
index f8d30e403..c723fdf65 100644
--- a/egs/aishell/ASR/conformer_ctc/transformer.py
+++ b/egs/aishell/ASR/conformer_ctc/transformer.py
@@ -490,9 +490,11 @@ class TransfEncoder(nn.TransformerEncoder):
                 convert_to_nested = True
                 output = torch._nested_tensor_from_mask(output, src_key_padding_mask.logical_not(), mask_check=False)
                 src_key_padding_mask_for_layers = None
-
+        
+        outputs = []
         for mod in self.layers:
             output = mod(output, src_mask=mask, src_key_padding_mask=src_key_padding_mask_for_layers)
+            outputs.append(output)
 
         if convert_to_nested:
             output = output.to_padded_tensor(0.)