From 0750d755eb640a2bb7b686d5ba31f82677985f56 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Thu, 2 Feb 2023 13:59:51 +0900
Subject: [PATCH] from local

---
 .../ASR/conformer_ctc/.transformer.py.swp     | Bin 69632 -> 69632 bytes
 egs/aishell/ASR/conformer_ctc/transformer.py  |   7 +------
 2 files changed, 1 insertion(+), 6 deletions(-)

diff --git a/egs/aishell/ASR/conformer_ctc/.transformer.py.swp b/egs/aishell/ASR/conformer_ctc/.transformer.py.swp
index c748b6c7d1d7f0548f838947a8dbda743e906bae..18d80bca594521c66c570b97023712cc48bec317 100644
GIT binary patch
delta 156
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lP+Brs<hCUct8hUTC@3gR=DNLu$%<j}#2(Sjd+xXx0{{=ODrf)z

delta 296
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y-1wZt%2cDGVvszPS5%Cu3Zw$8AU-{{BtAJOALs&&$#3sSPM**swt3GT7h?cI0a?)i

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: