#3850 TaskCfgVTT(is_cuda=True, uuid='82309b1f7c', cache_folder='D:/project/Videotrans/win-pyvideotrans-v3.98-327/tmp/15680/823

18.183* Posted at: 4 days ago 👁29

语音识别阶段出错 [faster-whisper(本地)] 出错了,可能内存或显存不足 Model:large-v3-turbo GPU0
Traceback (most recent call last):
File "videotrans\configure\_base.py", line 281, in _new_process
File "videotrans\process\signelobj.py", line 80, in submit_task_gpu
File "concurrent\futures\process.py", line 720, in submit
concurrent.futures.process.BrokenProcessPool: A child process terminated abruptly, the process pool is not usable anymore

Traceback (most recent call last):
File "videotrans\configure\_base.py", line 281, in _new_process
File "videotrans\process\signelobj.py", line 80, in submit_task_gpu
File "concurrent\futures\process.py", line 720, in submit
concurrent.futures.process.BrokenProcessPool: A child process terminated abruptly, the process pool is not usable anymore

During handling of the above exception, another exception occurred:

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 303, in _new_process
RuntimeError: 出错了,可能内存或显存不足 Model:large-v3-turbo GPU0
Traceback (most recent call last):
File "videotrans\configure\_base.py", line 281, in _new_process
File "videotrans\process\signelobj.py", line 80, in submit_task_gpu
File "concurrent\futures\process.py", line 720, in submit
concurrent.futures.process.BrokenProcessPool: A child process terminated abruptly, the process pool is not usable anymore
TaskCfgVTT(is_cuda=True, uuid='82309b1f7c', cache_folder='D:/project/Videotrans/win-pyvideotrans-v3.98-327/tmp/15680/82309b1f7c', target_dir='E:/编程/langchain课程/_video_out/32-10. create_agent Implementation-mp4', source_language='英语', source_language_code='en', source_sub='E:/编程/langchain课程/_video_out/32-10. create_agent Implementation-mp4/en.srt', source_wav='D:/project/Videotrans/win-pyvideotrans-v3.98-327/tmp/15680/82309b1f7c/en.wav', source_wav_output='E:/编程/langchain课程/_video_out/32-10. create_agent Implementation-mp4/en.m4a', target_language='简体中文', target_language_code='zh-cn', target_sub='E:/编程/langchain课程/_video_out/32-10. create_agent Implementation-mp4/zh-cn.srt', target_wav='D:/project/Videotrans/win-pyvideotrans-v3.98-327/tmp/15680/82309b1f7c/target.wav', target_wav_output='E:/编程/langchain课程/_video_out/32-10. create_agent Implementation-mp4/zh-cn.m4a', name='E:/编程/langchain课程/Udemy - LangChain- Develop AI Agents with LangChain & LangGraph part1/32-10. create_agent Implementation.mp4', noextname='32-10. create_agent Implementation', basename='32-10. create_agent Implementation.mp4', ext='mp4', dirname='E:/编程/langchain课程/Udemy - LangChain- Develop AI Agents with LangChain & LangGraph part1', 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='E:/编程/langchain课程/_video_out/32-10. create_agent Implementation-mp4/32-10. create_agent Implementation.mp4', novoice_mp4='D:/project/Videotrans/win-pyvideotrans-v3.98-327/tmp/15680/82309b1f7c/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

这是由于显存不足导致的。错误信息明确指出“可能内存或显存不足”,并且使用了 large-v3-turbo 模型,该模型对显存要求较高。

解决方案:

  1. 更换更小的模型:在语音识别渠道的下拉菜单中,将模型从 large-v3-turbo 更换为 mediumsmallbase
  2. 调整高级设置以降低显存占用:进入 菜单 -> 工具 -> 高级选项,在【语音识别参数】区域进行以下修改:

    • CUDA数据类型:将 float32 改为 float16int8
    • 识别准确度beam_size:将 5 改为 1
    • 识别准确度best_of:将 5 改为 1
    • 启用上下文感知:确保此项为 false(未勾选)。
  3. 检查并关闭二次识别:在主界面右上角,确保“二次识别”选项未被勾选。如果同时处理多个视频,二次识别会占用额外显存。
  4. 验证CUDA环境:确保已正确安装 CUDA 12.8 和 cuDNN 9.x,并且软件主界面已勾选“CUDA加速”。

请查阅相关文档:

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