From 05c8eba11c51ca928eee9c041de1a4192e590aec Mon Sep 17 00:00:00 2001
From: nianjiuhuiyi <64776403+nianjiuhuiyi@users.noreply.github.com>
Date: 星期五, 27 六月 2025 09:57:45 +0800
Subject: [PATCH] Fix: 修复c++后端服务因为空数组的异常退出，以及c++的http服务在收到Ctrl+C信号后无法正常退出 (#2571)
---
funasr/models/contextual_paraformer/decoder.py | 12 ++++++------
1 files changed, 6 insertions(+), 6 deletions(-)
diff --git a/funasr/models/contextual_paraformer/decoder.py b/funasr/models/contextual_paraformer/decoder.py
index 958c46b..ba2ce9a 100644
--- a/funasr/models/contextual_paraformer/decoder.py
+++ b/funasr/models/contextual_paraformer/decoder.py
@@ -137,7 +137,7 @@
concat_after: bool = False,
att_layer_num: int = 6,
kernel_size: int = 21,
- sanm_shift: int = 0,
+ sanm_shfit: int = 0,
):
super().__init__(
vocab_size=vocab_size,
@@ -179,14 +179,14 @@
self.att_layer_num = att_layer_num
self.num_blocks = num_blocks
- if sanm_shift is None:
- sanm_shift = (kernel_size - 1) // 2
+ if sanm_shfit is None:
+ sanm_shfit = (kernel_size - 1) // 2
self.decoders = repeat(
att_layer_num - 1,
lambda lnum: DecoderLayerSANM(
attention_dim,
MultiHeadedAttentionSANMDecoder(
- attention_dim, self_attention_dropout_rate, kernel_size, sanm_shift=sanm_shift
+ attention_dim, self_attention_dropout_rate, kernel_size, sanm_shfit=sanm_shfit
),
MultiHeadedAttentionCrossAtt(
attention_heads, attention_dim, src_attention_dropout_rate
@@ -210,7 +210,7 @@
self.last_decoder = ContextualDecoderLayer(
attention_dim,
MultiHeadedAttentionSANMDecoder(
- attention_dim, self_attention_dropout_rate, kernel_size, sanm_shift=sanm_shift
+ attention_dim, self_attention_dropout_rate, kernel_size, sanm_shfit=sanm_shfit
),
MultiHeadedAttentionCrossAtt(
attention_heads, attention_dim, src_attention_dropout_rate
@@ -228,7 +228,7 @@
lambda lnum: DecoderLayerSANM(
attention_dim,
MultiHeadedAttentionSANMDecoder(
- attention_dim, self_attention_dropout_rate, kernel_size, sanm_shift=0
+ attention_dim, self_attention_dropout_rate, kernel_size, sanm_shfit=0
),
None,
PositionwiseFeedForwardDecoderSANM(attention_dim, linear_units, dropout_rate),
--
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