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 ——— 版权声明:本文为CSDN博主「吴铭星」的原...
环境: Window11下的WSL: 运行jax,导致nvidia-smi无法使用,不过经过测试发现虽然nvidia-smi报错无法使用,但是GPU已经可以正常使用,调用jax的GPU运行也保持正常,只不过无法使用nvidia-smi对GPU状态进行查询。
运行jax,导致nvidia-smi无法使用,不过经过测试发现虽然nvidia-smi报错无法使用,但是GPU已经可以正常使用,调用jax的GPU运行也保持正常,只不过无法使用nvidia-smi对GPU状态进行查询。
NVIDIA-SMI couldn't find libnvidia-ml.so library in your system. Please make sure that the NVIDIA Display Driver is properly installed and present in your system.Please also try adding directory that contains li PATH. 过程: 在WSL打包镜像到Ubuntu使用,在WSL内正常,在Ubuntu不正常。(这里及之后将...
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 ...
I get this error in WSL: NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running. Failed to properly shut down NVML: Driver Not Loaded When I run it o...
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 ...
nvidia-smi on wsl/ubuntu 22.04 outputs a generic error instead: dattebayo@<NGP'd>:~/dev$ nvidia-smi NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running. Failed to properly shut down NVML: Driver Not...
请注意,使用nvidia-smi命令不起作用是正常的 安装NVIDIA Container Toolkit distribution=(. /etc/os-release;echoIDVERSION_ID) curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - curl -s -L https://nvidia.github.io/nvidia-docker/distribution/nvidia-docker.list | sud...
一定要记得操作这一步,不然nvidia-smi是无效的。 深度学习环境的配置 特别注意!!!WSL 中不需要安装 NVIDIA GPU驱动程序,因为 WSL 使用的是 Windows 端的驱动程序,同时甚至不需要安装 CUDA、cudnn之内的工具包,首先现在的深度学习框架安装脚本会自动在环境中安装这些工具包,其次,我更推荐用docker配置深度学习环境,这...