#5755 CUDA error: device-side assert triggeredCompile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.

120.229* Posted at: 4 days ago

CUDA error: device-side assert triggered
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.
,Traceback (most recent call last):
File "videotrans\process\tts_fun.py", line 121, in qwen3tts_fun
File "D:\Ruanjian-m\win-pyvideotrans-v4.05\_internal\torch\utils\_contextlib.py", line 116, in decorate_context

return func(*args, **kwargs)

File "qwen_tts\inference\qwen3_tts_model.py", line 603, in generate_voice_clone

talker_codes_list, _ = self.model.generate(

File "D:\Ruanjian-m\win-pyvideotrans-v4.05\_internal\torch\utils\_contextlib.py", line 116, in decorate_context

return func(*args, **kwargs)

File "qwen_tts\core\models\modeling_qwen3_tts.py", line 2272, in generate

talker_result = self.talker.generate(

File "D:\Ruanjian-m\win-pyvideotrans-v4.05\_internal\torch\utils\_contextlib.py", line 116, in decorate_context

return func(*args, **kwargs)

File "D:\Ruanjian-m\win-pyvideotrans-v4.05\_internal\transformers4576\generation\uti
......
4.05\_internal\transformers4576\generation\utils.py", line 2831, in _sample

next_tokens = torch.multinomial(probs, num_samples=1).squeeze(1)

RuntimeError: CUDA error: device-side assert triggered
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

Traceback (most recent call last):
File "videotrans\task\only_one.py", line 86, in run
File "videotrans\task\_stage_dubbing.py", line 23, in dubbing
File "videotrans\task\_stage_dubbing.py", line 102, in _tts
File "videotrans\tts\__init__.py", line 207, in run
File "videotrans\tts\_base.py", line 93, in run
File "videotrans\tts\_qwenttslocal.py", line 46, in _exec
File "videotrans\configure\base.py", line 272, in _new_process
videotrans.configure.excepts.VideoTransError: CUDA error: device-side assert triggered
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.
,Traceback (most recent call last):
File "videotrans\process\tts_fun.py", line 121, in qwen3tts_fun
File "D:\Ruanjian-m\win-pyvideotrans-v4.05\_internal\torch\utils\_contextlib.py", line 116, in decorate_context

return func(*args, **kwargs)

File "qwen_tts\inference\qwen3_tts_model.py", line 603, in generate_voice_clone

talker_codes_list, _ = self.model.generate(

File "D:\Ruanjian-m\win-pyvideotrans-v4.05\_internal\torch\utils\_contextlib.py", line 116, in decorate_context

return func(*args, **kwargs)

File "qwen_tts\core\models\modeling_qwen3_tts.py", line 2272, in generate

talker_result = self.talker.generate(

File "D:\Ruanjian-m\win-pyvideotrans-v4.05\_internal\torch\utils\_contextlib.py", line 116, in decorate_context

return func(*args, **kwargs)

File "D:\Ruanjian-m\win-pyvideotrans-v4.05\_internal\transformers4576\generation\utils.py", line 2566, in generate

result = decoding_method(

File "D:\Ruanjian-m\win-pyvideotrans-v4.05\_internal\transformers4576\generation\utils.py", line 2789, in _sample

outputs = model_forward(**model_inputs, return_dict=True)

File "D:\Ruanjian-m\win-pyvideotrans-v4.05\_internal\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl

return self._call_impl(*args, **kwargs)

File "D:\Ruanjian-m\win-pyvideotrans-v4.05\_internal\torch\nn\modules\module.py", line 1762, in _call_impl

return forward_call(*args, **kwargs)

File "D:\Ruanjian-m\win-pyvideotrans-v4.05\_internal\transformers4576\utils\generic.py", line 918, in wrapper

output = func(self, *args, **kwargs)

File "qwen_tts\core\models\modeling_qwen3_tts.py", line 1671, in forward

predictor_result = self.code_predictor.generate(

File "D:\Ruanjian-m\win-pyvideotrans-v4.05\_internal\torch\utils\_contextlib.py", line 116, in decorate_context

return func(*args, **kwargs)

File "D:\Ruanjian-m\win-pyvideotrans-v4.05\_internal\transformers4576\generation\utils.py", line 2566, in generate

result = decoding_method(

File "D:\Ruanjian-m\win-pyvideotrans-v4.05\_internal\transformers4576\generation\utils.py", line 2831, in _sample

next_tokens = torch.multinomial(probs, num_samples=1).squeeze(1)

RuntimeError: CUDA error: device-side assert triggered
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

cfg=[TaskCfgVTT]当前工作模式: 翻译视频或音频 单视频模式
原始输入文件名: D:/视频制作/减肥/The Fat Burning Expert: The REAL Reason You’re Not Losing Belly Fat (and How To Fix It Fast!)-(1080p25).mp4,
输出结果保存到文件夹: D:/视频制作/减肥/_video_out/The Fat Burning Expert: The REAL Reason You’re Not Losing Belly Fat (and How To Fix It Fast!)-(1080p25)-mp4,
临时文件夹: D:/Ruanjian-m/win-pyvideotrans-v4.05/tmp/37116/63a2674921
已选 清理已存在
已选 启用CUDA加速
未选 降噪
语音识别:faster-whisper(本地内置), model_name: distil-large-v3, 发音语言: 英语, 断句方式:默认断句
翻译渠道:DeepSeek,原始语言:英语,目标语言:简体中文, 已选 发送完整字幕
配音渠道:Qwen3-TTS(本地内置), 角色:clone, 配音语言:简体中文, 未选 二次语音识别
音量:+0%, 语速:+0%, 已选 音频加速, 未选 视频慢速
字幕: 嵌入硬字幕
代理地址:


=
system:Windows-10-10.0.26200-SP0
version:v4.05
frozen:True
language:zh
root_dir:D:/Ruanjian-m/win-pyvideotrans-v4.05

1 Replies

这是由于 Qwen3-TTS 在启用 CUDA 加速并使用 clone 角色时,遇到了参考音频时长或显存超出模型处理范围导致的 device-side assert triggered 错误。

请按以下步骤排查和修复:

  1. 检查显存是否充足:Qwen3-TTS 和 faster-whisper 同时占用显存,若显存不足(如小于 8GB),请降低 ASR 模型为 smallbase,或暂时关闭 CUDA 加速。
  2. 严格限制参考音频时长(最关键):使用 clone 角色时,软件会从原视频中截取与字幕时长对应的音频片段作为参考音频。该片段必须处于 3-10 秒 之间,否则 Qwen3-TTS 会崩溃。

    • 打开 菜单 -> 工具 -> 高级选项 -> 语音识别参数
    • 最短语音持续(毫秒) 设为 3000(即 3 秒)
    • 最长语音持续(秒) 设为 6 ~ 10
    • 确保已勾选 Whisper预分割音频?合并过短字幕到邻近
  3. 升级软件版本:当前版本为 v4.05,官网已发布修复该问题的 v4.05-0709 补丁。请下载最新完整包或补丁包覆盖更新。

请查阅相关文档:

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