diff --git a/egs/aishell/ASR/conformer_ctc/.transformer.py.swp b/egs/aishell/ASR/conformer_ctc/.transformer.py.swp
index c748b6c7d..18d80bca5 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 6f74d7265..88239764b 100644
--- a/egs/aishell/ASR/conformer_ctc/transformer.py
+++ b/egs/aishell/ASR/conformer_ctc/transformer.py
@@ -402,13 +402,8 @@ class TransfEncoder(nn.TransformerEncoder):
 
     def __init__(self, encoder_layer, num_layers, norm=None, enable_nested_tensor=True, mask_check=True):
         super(TransfEncoder, self).__init__()
-        self.layers = _get_clones(encoder_layer, num_layers)
-        self.num_layers = num_layers
-        self.norm = norm
-        self.enable_nested_tensor = enable_nested_tensor
-        self.mask_check = mask_check
 
-    def forward(self, src: Tensor, mask: Optional[Tensor] = None, src_key_padding_mask: Optional[Tensor] = None) -> Tensor:
+    def forward(self, src: Tensor, mask: Optional[Tensor] = None, src_key_padding_mask: Optional[Tensor] = None):
         """Pass the input through the encoder layers in turn.
 
         Args: