#3897 TaskCfgVTT(is_cuda=True, uuid='17179b89b0', cache_folder='D:/project/Videotrans/win-pyvideotrans-v3.98-327/tmp/74272/171

2406:da14* Posted at: 21 hours ago 👁18

语音识别阶段出错 [faster-whisper(本地)] Traceback (most recent call last):
File "videotrans\process\stt_fun.py", line 452, in faster_whisper
File "faster_whisper\transcribe.py", line 1851, in restore_speech_timestamps
File "faster_whisper\transcribe.py", line 1279, in generate_segments
File "faster_whisper\transcribe.py", line 1590, in add_word_timestamps
File "faster_whisper\transcribe.py", line 1709, in find_alignment
RuntimeError: cuBLAS failed with status CUBLAS_STATUS_NOT_SUPPORTED

Traceback (most recent call last):
File "videotrans\task\job.py", line 105, in run
File "videotrans\task\trans_create.py", line 360, in recogn
File "videotrans\recognition\__init__.py", line 272, in run
File "videotrans\recognition\_base.py", line 143, in run
File "videotrans\recognition\_overall.py", line 33, in _exec
File "videotrans\recognition\_overall.py", line 105, in _faster
File "videotrans\configure\_base.py", line 289, in _new_process
RuntimeError: Traceback (most recent call last):
File "videotrans\process\stt_fun.py", line 452, in faster_whisper
File "faster_whisper\transcribe.py", line 1851, in restore_speech_timestamps
File "faster_whisper\transcribe.py", line 1279, in generate_segments
File "faster_whisper\transcribe.py", line 1590, in add_word_timestamps
File "faster_whisper\transcribe.py", line 1709, in find_alignment
RuntimeError: cuBLAS failed with status CUBLAS_STATUS_NOT_SUPPORTED
TaskCfgVTT(is_cuda=True, uuid='17179b89b0', cache_folder='D:/project/Videotrans/win-pyvideotrans-v3.98-327/tmp/74272/17179b89b0', target_dir='C:/Users/savior/Desktop/_video_out/40. Day 5 Model Evaluation and Cross Validation-mp4', source_language='英语', source_language_code='en', source_sub='C:/Users/savior/Desktop/_video_out/40. Day 5 Model Evaluation and Cross Validation-mp4/en.srt', source_wav='D:/project/Videotrans/win-pyvideotrans-v3.98-327/tmp/74272/17179b89b0/en.wav', source_wav_output='C:/Users/savior/Desktop/_video_out/40. Day 5 Model Evaluation and Cross Validation-mp4/en.m4a', target_language='简体中文', target_language_code='zh-cn', target_sub='C:/Users/savior/Desktop/_video_out/40. Day 5 Model Evaluation and Cross Validation-mp4/zh-cn.srt', target_wav='D:/project/Videotrans/win-pyvideotrans-v3.98-327/tmp/74272/17179b89b0/target.wav', target_wav_output='C:/Users/savior/Desktop/_video_out/40. Day 5 Model Evaluation and Cross Validation-mp4/zh-cn.m4a', name='C:/Users/savior/Desktop/4/40. Day 5 Model Evaluation and Cross Validation.mp4', noextname='40. Day 5 Model Evaluation and Cross Validation', basename='40. Day 5 Model Evaluation and Cross Validation.mp4', ext='mp4', dirname='C:/Users/savior/Desktop/4', shound_del_name=None, translate_type=5, tts_type=10, volume='+0%', pitch='+0Hz', voice_rate='+0%', voice_role='aozi.wav', voice_autorate=True, video_autorate=False, remove_silent_mid=False, align_sub_audio=True, detect_language='en', recogn_type=0, model_name='large-v3-turbo', shibie_audio=None, remove_noise=False, enable_diariz=False, nums_diariz=0, rephrase=0, fix_punc=False, subtitle_language=None, app_mode='biaozhun', subtitles='', targetdir_mp4='C:/Users/savior/Desktop/_video_out/40. Day 5 Model Evaluation and Cross Validation-mp4/40. Day 5 Model Evaluation and Cross Validation.mp4', novoice_mp4='D:/project/Videotrans/win-pyvideotrans-v3.98-327/tmp/74272/17179b89b0/novoice.mp4', is_separate=False, instrument=None, vocal=None, back_audio='', clear_cache=False, background_music=None, subtitle_type=4, only_out_mp4=False, recogn2pass=True, output_srt=2, copysrt_rawvideo=False)


=
system:Windows-10-10.0.26200-SP0
version:v3.98
frozen:True
language:zh
root_dir:D:/project/Videotrans/win-pyvideotrans-v3.98-327

1 Replies

这是由于 NVIDIA 50 系列显卡与当前 CUDA 版本的兼容性问题导致的。错误 RuntimeError: cuBLAS failed with status CUBLAS_STATUS_NOT_SUPPORTED 表明在调用 CUDA 的 cuBLAS 库时遇到了不支持的操作。

解决方案:

  1. 降级显卡驱动:尝试将您的 NVIDIA 显卡驱动降级到 版本 560.94 或更早的版本。这是目前已知的临时解决方案。
  2. 等待软件更新:此问题源于 faster-whisper 库与新版显卡驱动的兼容性,开发者已在关注并可能在未来版本中修复。请留意软件更新。
  3. 临时使用其他识别渠道:在问题解决前,您可以暂时切换到其他语音识别渠道,例如:

    • openai-whisper(本地)(同样需要CUDA,但可能不受此特定错误影响)
    • 在线识别渠道(如 OpenAI API、阿里百炼 Qwen3-ASR 等),这需要相应的 API 密钥。

请查阅相关文档:

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