#4930 TaskCfgVTT(uuid='4268512f53', name=

18.183* Posted at: 9 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='4268512f53', name="D:/迅雷下载/[BRAZZERS]Marica Chanelle - Naughty Nurse's First Day (05.28.19)[1080P].mp4", dirname='D:/迅雷下载', noextname="[BRAZZERS]Marica Chanelle - Naughty Nurse's First Day (05.28.19)[1080P]", basename="[BRAZZERS]Marica Chanelle - Naughty Nurse's First Day (05.28.19)[1080P].mp4", ext='mp4', target_dir="C:/Users/Dell/Desktop/[BRAZZERS]Marica Chanelle - Naughty Nurse's First Day (05.28.19)[1080P]-mp4", cache_folder='D:/win-pyvideotrans-v4.00-528/tmp/1112/4268512f53', is_cuda=True, source_language='英语', source_language_code='en', source_sub="C:/Users/Dell/Desktop/[BRAZZERS]Marica Chanelle - Naughty Nurse's First Day (05.28.19)[1080P]-mp4/en.srt", source_wav='D:/win-pyvideotrans-v4.00-528/tmp/1112/4268512f53/en.wav', source_wav_output="C:/Users/Dell/Desktop/[BRAZZERS]Marica Chanelle - Naughty Nurse's First Day (05.28.19)[1080P]-mp4/en.m4a", target_language='简体中文', target_language_code='zh-cn', target_sub="C:/Users/Dell/Desktop/[BRAZZERS]Marica Chanelle - Naughty Nurse's First Day (05.28.19)[1080P]-mp4/zh-cn.srt", target_wav='D:/win-pyvideotrans-v4.00-528/tmp/1112/4268512f53/target.wav', target_wav_output="C:/Users/Dell/Desktop/[BRAZZERS]Marica Chanelle - Naughty Nurse's First Day (05.28.19)[1080P]-mp4/zh-cn.m4a", translate_type=0, 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="C:/Users/Dell/Desktop/[BRAZZERS]Marica Chanelle - Naughty Nurse's First Day (05.28.19)[1080P]-mp4/[BRAZZERS]Marica Chanelle - Naughty Nurse's First Day (05.28.19)[1080P].mp4", novoice_mp4='D:/win-pyvideotrans-v4.00-528/tmp/1112/4268512f53/novoice.mp4', is_separate=False, embed_bgm=True, instrument=None, vocal='D:/win-pyvideotrans-v4.00-528/tmp/1112/4268512f53/vocal.wav', clear_cache=False, 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

该错误的原因是当前 CUDA 环境与 faster-whisper 编译的 GPU 架构不匹配,导致无法在您的显卡上执行 CUDA 内核。常见于显卡较新(如 RTX 50 系列)或 CUDA 版本与软件内置的 faster-whisper 不兼容。

解决方法

  1. 临时绕过 GPU 加速:在主界面取消勾选 CUDA加速,改用 CPU 模式运行。速度会变慢,但可以确认问题是否限于 GPU。
  2. 检查 CUDA 版本:确保已安装 CUDA 12.8cuDNN 9.11+(软件绑定此版本)。在 CMD 中运行 nvcc -Vnvidia-smi 查看版本。
  3. 更新显卡驱动:安装最新 NVIDIA 驱动(支持您显卡的计算能力)。
  4. 尝试 openai-whisper 模式:在语音识别渠道中选择 openai-whisper(本地) + large-v3 模型,该模式可能对 CUDA 版本兼容性更好。
  5. 简化文件路径:您的视频存放在 D:/迅雷下载/ 且文件名含 [BRAZZERS] 等特殊符号,建议将视频复制到纯英文目录(如 D:/video/1.mp4)并重命名为简短英文名,再重新处理。

如果仍无法解决,请提供您的显卡型号及 nvcc -V 输出结果,以便进一步分析。

请查阅相关文档:

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