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 127, in qwen3tts_fun
File "torch\utils\_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)File "D:\AIGC\pyVideoTrans\_internal\qwen_tts\inference\qwen3_tts_model.py", line 603, in generate_voice_clone
talker_codes_list, _ = self.model.generate(File "torch\utils\_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)File "D:\AIGC\pyVideoTrans\_internal\qwen_tts\core\models\modeling_qwen3_tts.py", line 2272, in generate
talker_result = self.talker.generate(File "torch\utils\_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)File "transformers\generation\utils.py", line 2566, in generate
result = decoding_method(File "transformers\generation\utils.py", line 2789, in _sample
......
return self._call_impl(*args, **kwargs)File "torch\nn\modules\module.py", line 1762, in _call_impl
return forward_call(*args, **kwargs)File "transformers\utils\generic.py", line 918, in wrapper
output = func(self, *args, **kwargs)File "D:\AIGC\pyVideoTrans\_internal\qwen_tts\core\models\modeling_qwen3_tts.py", line 1671, in forward
predictor_result = self.code_predictor.generate(File "torch\utils\_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)File "transformers\generation\utils.py", line 2566, in generate
result = decoding_method(File "transformers\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 127, in qwen3tts_fun
File "torch\utils\_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)File "D:\AIGC\pyVideoTrans\_internal\qwen_tts\inference\qwen3_tts_model.py", line 603, in generate_voice_clone
talker_codes_list, _ = self.model.generate(File "torch\utils\_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)File "D:\AIGC\pyVideoTrans\_internal\qwen_tts\core\models\modeling_qwen3_tts.py", line 2272, in generate
talker_result = self.talker.generate(File "torch\utils\_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)File "transformers\generation\utils.py", line 2566, in generate
result = decoding_method(File "transformers\generation\utils.py", line 2789, in _sample
outputs = model_forward(**model_inputs, return_dict=True)File "torch\nn\modules\module.py", line 1751, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)File "torch\nn\modules\module.py", line 1762, in _call_impl
return forward_call(*args, **kwargs)File "transformers\utils\generic.py", line 918, in wrapper
output = func(self, *args, **kwargs)File "D:\AIGC\pyVideoTrans\_internal\qwen_tts\core\models\modeling_qwen3_tts.py", line 1671, in forward
predictor_result = self.code_predictor.generate(File "torch\utils\_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)File "transformers\generation\utils.py", line 2566, in generate
result = decoding_method(File "transformers\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:/Bandicam/ZWEI2PDX9 2026-07-08 03-00-58-072.mp4,
输出结果保存到文件夹: D:/Bandicam/_video_out/ZWEI2PDX9 2026-07-08 03-00-58-072-mp4,
临时文件夹: D:/AIGC/pyVideoTrans/tmp/49124/0fac5afe6c
未选 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: large-v3-turbo, 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
已选 仅输出mp4
代理地址:
=
system:Windows-10-10.0.26200-SP0
version:v4.04
frozen:True
language:zh
root_dir:D:/AIGC/pyVideoTrans