[Help] wsl docker gpu version 无法正常转换字幕

[OrdinarySF]

Problem Overview

wsl docker gpu version 无法正常转换字幕

Steps Taken

1. 执行docker命令sudo docker run -itd --gpus 'all,"capabilities=compute,utility,video"' --name bilive_docker_gpu -p 22333:2233 ghcr.io/timerring/bilive-gpu:0.2.10
2. 按照流程启动服务
3. 添加录制任务

Expected Outcome

(A clear and concise description of what you expected to happen.)

Screenshots

scan-20250323.log

Environment Information

• Operating System: Windows 11 WSL Ubuntu 24.10
• Python Version: same docker
• Driver & CUDA Version: Driver Version: 572.16 CUDA Version: 12.8
• Error Messages and Logs: [If applicable, provide any error messages or relevant log outputs]

Additional context

(Add any other context about the problem here.)

[timerring]

wsl 跑 nvidia gpu docker，需要 nvidia-container-toolkit 等配置。

参考官方文档：https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html

[OrdinarySF]

安装过

root@ORDINARY:~# nvidia-smi
Mon Mar 24 23:53:28 2025
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 570.86.16              Driver Version: 572.16         CUDA Version: 12.8     |
|-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA GeForce RTX 3070 ...    On  |   00000000:01:00.0 Off |                  N/A |
| N/A   56C    P8             16W /  125W |     934MiB /   8192MiB |     26%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|  No running processes found                                                             |
+-----------------------------------------------------------------------------------------+

[timerring]

好的，nvcc -V cuda 版本是多少