From 28ccfbfc51068a663a80764e14074df5edf2b5ba Mon Sep 17 00:00:00 2001
From: kongdeqiang <kongdeqiang960204@163.com>
Date: 星期五, 13 三月 2026 17:41:41 +0800
Subject: [PATCH] 提交
---
funasr/models/sond/sv_decoder.py | 20 ++++++++++++--------
1 files changed, 12 insertions(+), 8 deletions(-)
diff --git a/funasr/models/sond/sv_decoder.py b/funasr/models/sond/sv_decoder.py
index ee6b0e5..7d8484d 100644
--- a/funasr/models/sond/sv_decoder.py
+++ b/funasr/models/sond/sv_decoder.py
@@ -5,19 +5,23 @@
class DenseDecoder(AbsDecoder):
def __init__(
- self,
- vocab_size,
- encoder_output_size,
- num_nodes_resnet1: int = 256,
- num_nodes_last_layer: int = 256,
- batchnorm_momentum: float = 0.5,
+ self,
+ vocab_size,
+ encoder_output_size,
+ num_nodes_resnet1: int = 256,
+ num_nodes_last_layer: int = 256,
+ batchnorm_momentum: float = 0.5,
):
super(DenseDecoder, self).__init__()
self.resnet1_dense = torch.nn.Linear(encoder_output_size, num_nodes_resnet1)
- self.resnet1_bn = torch.nn.BatchNorm1d(num_nodes_resnet1, eps=1e-3, momentum=batchnorm_momentum)
+ self.resnet1_bn = torch.nn.BatchNorm1d(
+ num_nodes_resnet1, eps=1e-3, momentum=batchnorm_momentum
+ )
self.resnet2_dense = torch.nn.Linear(num_nodes_resnet1, num_nodes_last_layer)
- self.resnet2_bn = torch.nn.BatchNorm1d(num_nodes_last_layer, eps=1e-3, momentum=batchnorm_momentum)
+ self.resnet2_bn = torch.nn.BatchNorm1d(
+ num_nodes_last_layer, eps=1e-3, momentum=batchnorm_momentum
+ )
self.output_dense = torch.nn.Linear(num_nodes_last_layer, vocab_size, bias=False)
--
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