Ubuntu下heygem-f2f反复重启，RuntimeError: Found no NVIDIA driver on your system.

[murongqingsi]

2025-03-15 21:36:24,880 - cv2box - INFO - Use default multi mode: multi-thread, or you can set env 'CV_MULTI_MODE' to multi-process/torch-process [2025-03-15 21:36:24] [cv_logging.py[line:27]] [INFO] [Use default multi mode: multi-thread, or you can set env 'CV_MULTI_MODE' to multi-process/torch-process] [2025-03-15 21:36:25] [app_local.py[line:230]] [WARNING] [ -> 服务不进行注册] [2025-03-15 21:36:25] [app_local.py[line:231]] [INFO] [TransDhTask init] Traceback (most recent call last): File "/code/app_local.py", line 231, in TransDhTask.instance() File "trans_dh_service.py", line 1207, in trans_dh_service.TransDhTask.instance File "trans_dh_service.py", line 1189, in trans_dh_service.TransDhTask.init File "compute_ctc_att_bnf.py", line 130, in compute_ctc_att_bnf.load_ppg_model File "/usr/local/python3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1152, in to return self._apply(convert) File "/usr/local/python3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 802, in _apply module._apply(fn) File "/usr/local/python3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 802, in _apply module._apply(fn) File "/usr/local/python3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 802, in _apply module._apply(fn) [Previous line repeated 1 more time] File "/usr/local/python3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 825, in _apply param_applied = fn(param) File "/usr/local/python3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1150, in convert return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking) File "/usr/local/python3/lib/python3.8/site-packages/torch/cuda/init.py", line 302, in _lazy_init torch._C._cuda_init() RuntimeError: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx 在Ubuntu22.04系统下，使用docker安装。显卡是L20；驱动已经安装好，已经确认docker里面驱动可以正常使用。其他两个容器内使用显卡命令都可以显示显卡信息，只有这个heygem-f2f一直在反复重启

[murongqingsi]

https://github.com/GuijiAI/HeyGem.ai/issues/158这个连接的解决方法也不好用

[qiumiao1988]

https://github.com/GuijiAI/HeyGem.ai/issues/158这个连接的解决方法也不好用

请问安装成功了吗？ ubuntu

[qiumiao1988]

2025-03-15 21:36:24,880 - cv2box - INFO - 使用默认多模式：多线程，或者你可以将环境变量 'CV_MULTI_MODE' 设置为多进程/torch-process [2025-03-15 21:36:24] [cv_logging.py[line:27]] [INFO] [使用默认多模式：多线程，或者你可以将环境变量 'CV_MULTI_MODE' 设置为多进程/torch-process] [2025-03-15 21:36:25] [app_local.py[line:230]] [WARNING] [ -> 服务不进行注册] [2025-03-15 21:36:25] [app_local.py[line:231]] [INFO] [TransDhTask init] Traceback (最近一次调用最后一次): File “/code/app_local.py”，第 231 行，在 TransDhTask.instance() 文件“trans_dh_service.py”，第 1207 行，在 trans_dh_service.TransDhTask.instance 文件“trans_dh_service.py”，第 1189 行，在 trans_dh_service.TransDhTask。init 文件“compute_ctc_att_bnf.py”，第 130 行，在 compute_ctc_att_bnf.load_ppg_model 文件“/usr/local/python3/lib/python3.8/site-packages/torch/nn/modules/module.py”，第 1152 行，在 return self._apply(convert) 文件“/usr/local/python3/lib/python3.8/site-packages/torch/nn/modules/module.py”，第 802 行，在 _apply module._apply(fn) 文件“/usr/local/python3/lib/python3.8/site-packages/torch/nn/modules/module.py”，第 802 行，在 _apply module._apply(fn) 文件“/usr/local/python3/lib/python3.8/site-packages/torch/nn/modules/module.py”，行802，在 _apply module._apply(fn)中 [上一行重复 1 次] 文件“/usr/local/python3/lib/python3.8/site-packages/torch/nn/modules/module.py”，第 825 行，在 _apply param_applied = fn(param) 文件“/usr/local/python3/lib/python3.8/site-packages/torch/nn/modules/module.py”，第 1150 行，在 convert return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking) 文件“/usr/local/python3/lib/python3.8/site-packages/torch/cuda/ init .py”，第 302 行，在 _lazy_init torch._C._cuda_init() RuntimeError：在您的系统。请检查您是否有NVIDIA GPU并从http://www.nvidia.com/Download/index.aspx安装了驱动程序 ，在Ubuntu22.04系统下，使用docker安装。显卡是L20；驱动已经安装好，已经确认docker里面可以驱动正常使用。其他两个容器内使用显卡命令都可以显示显卡信息，只有这个heygem-f2f一直在反复重启

请问安装成功了吗？ ubuntu

[gongmm]

问题相同

[ssp-seven]

请问解决了嘛

[YerayL]

我ubuntu也有这个问题，如果按其它issue里修改yml就会报 KeyError: 'ContainerConfig'

[burt1012]

deploy: resources: reservations: devices: - capabilities: [gpu] 我是docker-compose文件删除heygem-gen-video:下的这个起来的