#7140 mkl_malloc: failed to allocate memory,Traceback (most recent call last): File

183.158**8 Posted at: 1 hour ago

mkl_malloc: failed to allocate memory,Traceback (most recent call last):
File "videotrans\process\stt_faster.py", line 55, in _create_model
File "faster_whisper\transcribe.py", line 689, in init
RuntimeError: mkl_malloc: failed to allocate memory

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "videotrans\process\stt_faster.py", line 55, in _create_model
File "faster_whisper\transcribe.py", line 689, in init
RuntimeError: mkl_malloc: failed to allocate memory

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "videotrans\process\stt_faster.py", line 85, in faster_whisper
File "videotrans\process\stt_faster.py", line 74, in _create_model
File "videotrans\process\stt_faster.py", line 78, in _create_model
File "videotrans\process\stt_faster.py", line 55, in _create_model
File "faster_whisper\transcribe.py", line 689, in __ini
......
File "videotrans\task\_stage_recogn.py", line 65, in recogn
File "videotrans\recognition\__init__.py", line 228, in run
File "videotrans\recognition\_base.py", line 97, in run
File "videotrans\recognition\_whisper.py", line 41, in _exec
File "videotrans\recognition\_whisper.py", line 130, in _faster
File "videotrans\configure\base.py", line 264, in _new_process
videotrans.configure.excepts.VideoTransError: mkl_malloc: failed to allocate memory,Traceback (most recent call last):
File "videotrans\process\stt_faster.py", line 55, in _create_model
File "faster_whisper\transcribe.py", line 689, in init
RuntimeError: mkl_malloc: failed to allocate memory

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "videotrans\process\stt_faster.py", line 55, in _create_model
File "faster_whisper\transcribe.py", line 689, in init
RuntimeError: mkl_malloc: failed to allocate memory

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "videotrans\process\stt_faster.py", line 85, in faster_whisper
File "videotrans\process\stt_faster.py", line 74, in _create_model
File "videotrans\process\stt_faster.py", line 78, in _create_model
File "videotrans\process\stt_faster.py", line 55, in _create_model
File "faster_whisper\transcribe.py", line 689, in init
RuntimeError: mkl_malloc: failed to allocate memory

cfg=[TaskCfgVTT]当前工作模式: 翻译视频单视频模式
原始输入文件名: D:/AAA视频翻译/翻译测试 - 副本 (2) - 副本/1 (1).mp4,
输出结果保存到文件夹: D:/AAA视频翻译/翻译测试 - 副本 (2) - 副本/1 (1)-mp4,
临时文件夹: D://tmp/104488/fc565a39f0
未选清理已存在
未启用CUDA加速
未选降噪
语音识别:faster-whisper(内置), medium, 发音语言: 英语, 断句方式:默认断句
翻译渠道:Google(免费),原始语言:英语,目标语言:简体中文, 已选发送完整字幕
配音渠道:Edge-TTS(免费), 角色:Yunyang(Male/CN), 配音语言:简体中文, 未选二次语音识别
音量:+0%, 语速:+0%, 已选音频加速, 未选视频慢速
字幕: 不嵌入字幕

=
system:Windows-10-10.0.26100-SP0
version:v4.12
frozen:True
language:zh_CN
root_dir:D:/

#1 DeepSeek reply at 1 hour ago

核心原因：mkl_malloc: failed to allocate memory 是 内存（RAM）分配失败。由于您未启用 CUDA 加速，faster-whisper 的 medium 模型完全在 CPU 上运行，加载时需要占用较大的物理内存，内存不足即崩溃。

解决方案：

更换更小的模型：在语音识别渠道中选择 small 或 base 模型（内存占用更低，速度更快）。
关闭其他大内存程序：处理前关闭浏览器、大型软件等，释放系统内存。
调低识别精度：进入 菜单 → 工具 → 高级选项 → 语音识别参数，将 计算数据类型 改为 int8，将 识别准确度beam_size 和 best_of 均设为 1，可显著降低内存占用。
增加虚拟内存：Windows 系统设置中手动增加虚拟内存（建议设为物理内存的 1.5 倍）。
检查路径：当前路径包含中文、空格和括号（D:/AAA视频翻译/翻译测试 - 副本 (2) - 副本/1 (1).mp4），虽非直接报错原因，但建议将视频移动至纯英文、数字、无特殊符号的浅层目录（如 D:/test/1.mp4）后重试。

若以上操作后仍无效，请提供软件安装目录下 logs/ 文件夹中最新日志的末尾约30行内容。

#7140 mkl_malloc: failed to allocate memory,Traceback (most recent call last): File

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