#4913 TaskCfgVTT(uuid='dc9a4f0814', name='D:/迅雷下载/puretaboo.18.11.29.angela.white.balance.of.power[N1C].mp4', dirname='D:/迅雷下载

2408:844f* Posted at: 13 hours ago

parallel_for failed: cudaErrorNoKernelImageForDevice: no kernel image is available for execution on the device:Traceback (most recent call last):
File "videotrans\process\stt_fun.py", line 302, in faster_whisper
File "faster_whisper\transcribe.py", line 1851, in restore_speech_timestamps
File "faster_whisper\transcribe.py", line 1190, in generate_segments
File "faster_whisper\transcribe.py", line 1400, in encode
RuntimeError: parallel_for failed: cudaErrorNoKernelImageForDevice: no kernel image is available for execution on the device

Traceback (most recent call last):
File "videotrans\task\only_one.py", line 47, in run
File "videotrans\task\trans_create.py", line 320, in recogn
File "videotrans\recognition\__init__.py", line 190, in run
File "videotrans\recognition\_base.py", line 93, in run
File "videotrans\recognition\_whisper.py", line 35, in _exec
File "videotrans\recognition\_whisper.py", line 108, in _faster
File "videotrans\configure\base.py", line 252, in _new_process
videotrans.configure.excepts.VideoTransError: parallel_for failed: cudaErrorNoKernelImageForDevice: no kernel image is available for execution on the device:Traceback (most recent call last):
File "videotrans\process\stt_fun.py", line 302, in faster_whisper
File "faster_whisper\transcribe.py", line 1851, in restore_speech_timestamps
File "faster_whisper\transcribe.py", line 1190, in generate_segments
File "faster_whisper\transcribe.py", line 1400, in encode
RuntimeError: parallel_for failed: cudaErrorNoKernelImageForDevice: no kernel image is available for execution on the device
TaskCfgVTT(uuid='dc9a4f0814', name='D:/迅雷下载/puretaboo.18.11.29.angela.white.balance.of.power[N1C].mp4', dirname='D:/迅雷下载', noextname='puretaboo.18.11.29.angela.white.balance.of.power[N1C]', basename='puretaboo.18.11.29.angela.white.balance.of.power[N1C].mp4', ext='mp4', target_dir='D:/迅雷下载/puretaboo.18.11.29.angela.white.balance.of.power[N1C]-mp4', cache_folder='D:/win-pyvideotrans-v4.00-528/tmp/1548/dc9a4f0814', is_cuda=True, source_language='英语', source_language_code='en', source_sub='D:/迅雷下载/puretaboo.18.11.29.angela.white.balance.of.power[N1C]-mp4/en.srt', source_wav='D:/win-pyvideotrans-v4.00-528/tmp/1548/dc9a4f0814/en.wav', source_wav_output='D:/迅雷下载/puretaboo.18.11.29.angela.white.balance.of.power[N1C]-mp4/en.m4a', target_language='简体中文', target_language_code='zh-cn', target_sub='D:/迅雷下载/puretaboo.18.11.29.angela.white.balance.of.power[N1C]-mp4/zh-cn.srt', target_wav='D:/win-pyvideotrans-v4.00-528/tmp/1548/dc9a4f0814/target.wav', target_wav_output='D:/迅雷下载/puretaboo.18.11.29.angela.white.balance.of.power[N1C]-mp4/zh-cn.m4a', translate_type=1, tts_type=0, volume='+0%', pitch='+0Hz', voice_rate='+0%', voice_role='No', 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='D:/迅雷下载/puretaboo.18.11.29.angela.white.balance.of.power[N1C]-mp4/puretaboo.18.11.29.angela.white.balance.of.power[N1C].mp4', novoice_mp4='D:/win-pyvideotrans-v4.00-528/tmp/1548/dc9a4f0814/novoice.mp4', is_separate=False, embed_bgm=True, instrument=None, vocal='D:/win-pyvideotrans-v4.00-528/tmp/1548/dc9a4f0814/vocal.wav', clear_cache=True, background_music='', subtitle_type=4, only_out_mp4=False, recogn2pass=False, output_srt=1, copysrt_rawvideo=False, loop_backaudio=1, backaudio_volume=0.8)


=
system:Windows-10-10.0.18363-SP0
version:v4.00
frozen:True
language:zh
root_dir:D:/win-pyvideotrans-v4.00-528

1 Replies

这个问题是由于你的 NVIDIA 显卡驱动或 CUDA 版本与本软件内置的 faster-whisper 所编译的 CUDA 内核不兼容导致的。

根本原因:faster-whisper 的 GPU 加速需要 CUDA 12.8 及以上版本和 cuDNN 9.11 及以上版本。当显卡驱动过旧,或 CUDA 版本不匹配时,GPU 上找不到可执行的 kernel 映像,从而触发此错误。

解决方案(按顺序尝试,任一步完成后重启软件):

  1. 取消勾选 CUDA 加速
    在主界面中取消勾选“CUDA加速”,软件将回退使用 CPU 进行语音识别。虽然速度会大幅下降,但可以立即正常工作。
  2. 更新 NVIDIA 显卡驱动
    从 NVIDIA 官网下载并安装与你的显卡型号匹配的最新驱动(推荐使用 GeForce Experience 或手动下载)。
  3. 重新安装 CUDA 12.8 和 cuDNN 9.11

    • 确保已安装 CUDA 12.8(可通过 nvcc -V 命令查看版本)。如果版本低于 12.8,请先卸载旧版,然后从 NVIDIA 官网下载安装 CUDA 12.8。
    • 安装匹配的 cuDNN 9.11,并将 cuDNN 的 binlib 目录添加到系统环境变量 PATH 中。
    • 详细图文教程:https://pyvideotrans.com/gpu
  4. 检查显卡型号
    如果你的显卡是 RTX 50 系列,已知存在兼容性问题,请参考以下文档获取解决方案:
    https://pyvideotrans.com/blog/cublas-failed-with-status-not-supported
  5. 使用更小的 ASR 模型
    如果仍报错但显存充足,可尝试将识别模型从 large-v3-turbo 切换为 mediumsmall,降低 CUDA 内核启动要求。

请查阅相关文档:

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