diff --git a/egs/aishell/ASR/conformer_ctc/.transformer.py.swp b/egs/aishell/ASR/conformer_ctc/.transformer.py.swp
index 0401582c7..05e41821a 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 58de71c90..d85f7d7d8 100644
--- a/egs/aishell/ASR/conformer_ctc/transformer.py
+++ b/egs/aishell/ASR/conformer_ctc/transformer.py
@@ -401,7 +401,13 @@ class TransfEncoder(nn.TransformerEncoder):
     __constants__ = ['norm']
 
     def __init__(self, encoder_layer, num_layers, norm=None, enable_nested_tensor=True, mask_check=True):
-        super(TransfEncoder, self).__init__()
+        super(TransfEncoder, self).__init__(
+                encoder_layer=encoder_layer,
+                num_layers=num_layers,
+                norm=norm,
+                enable_nested_tensor=enable_nested_tensor,
+                mask_check=mask_check
+            )
 
     def forward(self, src: torch.Tensor, mask: Optional[torch.Tensor] = None, src_key_padding_mask: Optional[torch.Tensor] = None):
         """Pass the input through the encoder layers in turn.