From 646abcde80c6777f815d8bd72c10327b6e999180 Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Thu, 2 Feb 2023 14:00:24 +0900
Subject: [PATCH] from local

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

diff --git a/egs/aishell/ASR/conformer_ctc/.transformer.py.swp b/egs/aishell/ASR/conformer_ctc/.transformer.py.swp
index 18d80bca594521c66c570b97023712cc48bec317..eac25f6945ac4d427e1082c00b76b104d19def54 100644
GIT binary patch
delta 74
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by16I+xSc=QyHj*>*&PKSEwXvZofu;PY3~~G

delta 78
zcmZozz|ydQMKsAE%+puFQqO<^2m}}yw484zCvOyef1b6Un}Ol`WX=o0tfo9b*5<?u
f-Q0{yleuo&Pgb~NJ?S>r<m@}DKx*@XI|;@BtrQ!S

diff --git a/egs/aishell/ASR/conformer_ctc/transformer.py b/egs/aishell/ASR/conformer_ctc/transformer.py
index 88239764b..154fa848b 100644
--- a/egs/aishell/ASR/conformer_ctc/transformer.py
+++ b/egs/aishell/ASR/conformer_ctc/transformer.py
@@ -403,7 +403,7 @@ class TransfEncoder(nn.TransformerEncoder):
     def __init__(self, encoder_layer, num_layers, norm=None, enable_nested_tensor=True, mask_check=True):
         super(TransfEncoder, self).__init__()
 
-    def forward(self, src: Tensor, mask: Optional[Tensor] = None, src_key_padding_mask: Optional[Tensor] = None):
+    def forward(self, src: Tensor, mask: Optional[torch.Tensor] = None, src_key_padding_mask: Optional[torch.Tensor] = None):
         """Pass the input through the encoder layers in turn.
 
         Args: