From c544a3c86c1ced4ffec52142996efc9a414dc05a Mon Sep 17 00:00:00 2001
From: dohe0342 <kimdohe1070@gmail.com>
Date: Thu, 2 Feb 2023 14:06:15 +0900
Subject: [PATCH] from local

---
 .../ASR/conformer_ctc/.transformer.py.swp     | Bin 69632 -> 69632 bytes
 egs/aishell/ASR/conformer_ctc/transformer.py  |   4 +---
 2 files changed, 1 insertion(+), 3 deletions(-)

diff --git a/egs/aishell/ASR/conformer_ctc/.transformer.py.swp b/egs/aishell/ASR/conformer_ctc/.transformer.py.swp
index 173938d67f5f5d397e2ae3a3912ca5c6b5a12679..894e87db3a8b29aeab983556b9973d5667606dad 100644
GIT binary patch
delta 139
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delta 192
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diff --git a/egs/aishell/ASR/conformer_ctc/transformer.py b/egs/aishell/ASR/conformer_ctc/transformer.py
index fe3737e12..16eb54599 100644
--- a/egs/aishell/ASR/conformer_ctc/transformer.py
+++ b/egs/aishell/ASR/conformer_ctc/transformer.py
@@ -115,7 +115,7 @@ class Transformer(nn.Module):
         #)
         self.encoder = TransfEncoder(
             encoder_layer=encoder_layer,
-            num_layers=encoder_layer,
+            num_layers=num_encoder_layers,
             norm=encoder_norm,
         )
 
@@ -406,8 +406,6 @@ class TransfEncoder(nn.TransformerEncoder):
                 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):