原本一开始有人说是驱动版本问题 我nvcc -V是ok的,但是nvidia-smi一直报错,Command ‘nvidia-smi’ not found, but can be installed with: 解决 cp /usr/lib/wsl/lib/nvidia-smi /usr/bin/nvidia-smi chmod ogu+x /usr/bin/nvidia-smi 在wsl2中运行这两个语句,再输入nvidia-smi,成功了 ——— 版权声...
直接在powershell里输入nvidia-smi,出来的是windows下的cuda版本 01-11 · IP 属地河南 回复4 阿孟 The CUDA driver installed on Windows host will be stubbed inside the WSL 2 as libcuda.so, therefore users must not install any NVIDIA GPU Linux driver within WSL 2 其实官网已经说明了 不需要再安装...
但是我刚装完wsl2 nvidia-smi就有cuda version 2022-05-25· 北京 回复7 阿孟 The CUDA driver installed on Windows host will be stubbed inside the WSL 2 as libcuda.so, therefore users must not install any NVIDIA GPU Linux driver within WSL 2 其实官网已经说明了 不需要再安装了 2023-...
I have new windows server where I have installed WSL2 for GPU pass through, but nvidia-smi command is not working and it gives NVML initialization : unknown error whereas nvidia-smi.exe is working from the windows sideHowever, It works on another server with similar ...
在我的桌面上,nvidia-smi和CUDA的示例在WSL2中工作得很好。但是在我的笔记本电脑上,运行nvidia-smiin WSL2会返回: 代码语言:javascript 复制 $ nvidia-smi Failed to initializeNVML:GPUaccess blocked by the operating system Failed to properly shut downNVML:GPUaccess blocked by the operating system ...
root@DESKTOP-PO8BKKM:~# nvcc --version Command 'nvcc' not found, but can be installed with: apt install nvidia-cuda-toolkit 所以需要添加一下环境变量,就可以了。 root@DESKTOP-PO8BKKM:~# export PATH=$PATH:/usr/local/cuda/bin root@DESKTOP-PO8BKKM:~# nvcc --version nvcc: NVIDIA (R) Cu...
WARNING: daemon is not using the default seccomp profile GPU Driver 根据Win11机器的显卡安装最新版本驱动(不要在WSL中安装任何Linux版的Nvidia驱动!) Download the latest official NVIDIA drivers 输入nvidia-smi,查验是否安装成功。WSL2里面啥都不用做,在WSL2命令行直接就能查看nvidia-smi。启动docker也能一样查...
Nvidia-WSL驱动官方文档:https://docs.nvidia.cn/cuda/wsl-user-guide/index.html 检测是否安装成功 cmd命令行输入: 如果出现类似于下图效果,即安装完成。 检测驱动是否安装完成 记下图中的CUDA version 3. 在WSL2中安装CUDA(WSL2中操作) 参考CUDA官网,选择自己对应的版本。
1. Issue or feature description nvidia-container-cli simply does not work on WSL2 'cause dxcore initialization failed. It will assume non-WSL env and unable to proceed 'cause I didn't install cuda on WSL2. I don't think that is required ...
I found that using ResNet50-DSSD does yield the out of memory-error, but ResNet18-DSSD does not. I am unsure why that is. nvidia-smi does not show a maxed out memory?Morganh 2021 年12 月 22 日 16:24 27 Please try to run other network as well, for example, LPRnet.system...