#8430 ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB): Device 0: NVIDIA GeForce GTX 1660, compute capability 7.5,

ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):
Device 0: NVIDIA GeForce GTX 1660, compute capability 7.5, VMM: yes, VRAM: 6143 MiB
The following devices will have suboptimal performance due to a lack of tensor cores:
Device 0: NVIDIA GeForce GTX 1660
Consider compiling with CMAKE_CUDA_ARCHITECTURES=61-virtual;80-virtual and DGGML_CUDA_FORCE_MMQ to force the use of the Pascal code for Turing.
load_backend: loaded CUDA backend from G:\BaiduNetdiskDownload\sa\whisper-cpp\ggml-cuda.dll
load_backend: loaded CPU backend from G:\BaiduNetdiskDownload\sa\whisper-cpp\ggml-cpu-haswell.dll
error: failed to initialize whisper context

Traceback (most recent call last):
File "videotrans\recognition\_cpp.py", line 121, in _exec
videotrans.configure.excepts.SpeechToTextError: ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):
Device 0: NVIDIA GeForce GTX 1660, compute capability 7.5, VMM: yes, VRAM: 6143 MiB
The following devices will have suboptimal perfor
......
eotrans\task\only_one.py", line 71, in run
File "videotrans\task\_stage_recogn.py", line 64, in recogn
File "videotrans\recognition\__init__.py", line 141, in run
File "videotrans\recognition\_base.py", line 101, in run
File "videotrans\recognition\_cpp.py", line 128, in _exec
videotrans.configure.excepts.SpeechToTextError: ggml_cuda_init: found 1 CUDA devices (Total VRAM: 6143 MiB):
Device 0: NVIDIA GeForce GTX 1660, compute capability 7.5, VMM: yes, VRAM: 6143 MiB
The following devices will have suboptimal performance due to a lack of tensor cores:
Device 0: NVIDIA GeForce GTX 1660
Consider compiling with CMAKE_CUDA_ARCHITECTURES=61-virtual;80-virtual and DGGML_CUDA_FORCE_MMQ to force the use of the Pascal code for Turing.
load_backend: loaded CUDA backend from G:\BaiduNetdiskDownload\sa\whisper-cpp\ggml-cuda.dll
load_backend: loaded CPU backend from G:\BaiduNetdiskDownload\sa\whisper-cpp\ggml-cpu-haswell.dll
error: failed to initialize whisper context

trk=[TransCreate]: uuid='416a856781', proxy_str=None, cfg=[TaskCfgVTT]当前工作模式: 翻译视频 单视频模式
原始输入文件名: C:/Users/Administrator/Desktop/ev_20261024_101854.mp4,
输出结果保存到文件夹: C:/Users/Administrator/Desktop/_video_out/ev_20261024_101854-mp4,
临时文件夹: G:/BaiduNetdiskDownload/sa/tmp/5616/416a856781
未选 清理已存在
未启用CUDA加速
语音识别:Whisper.cpp(Win内置), , 发音语言: 英语, ,
翻译渠道:M2M100(内置),原始语言:英语,目标语言:简体中文, 未选 发送完整字幕, settings.get('trans_thread')=20, settings.get('aitrans_thread')=50
配音渠道:Edge-TTS(免费), 角色:Yunjian(Male/CN), 配音语言:简体中文, 未选 二次语音识别
音量:+0%, 语速:+0%, 未选 音频加速, 已选 视频慢速
已选 移除每条字幕配音开头和结尾静音缓冲
静音移除力度: default
字幕: 嵌入硬字幕 , precent=4, hasend=False, should_recogn=True, should_trans=True, should_dubbing=True, should_hebing=True, is_copy_video=True, video_codec_num=264, ignore_align=False, is_audio_trans=False, clone_ref='', should_recogn2=False, do_diarize=True
video_duration_ms=82333