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...
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 side H…
其次在WSL终端中也输入nvidia-smi,也如下图显示一样,则可以进入下一步 如果cmd中输入nvidia-smi正常输出GPU信息,而WSL中报错Command not found,参考这里: 4.2 安装CUDA 我这里安装的是CUDA 11.8.0,显卡支持cuda版本必须在11.8以上,否则需要安装更低版本的。 #先安装cuda 11.8.0 wget https://developer.download....
在Windows中,我的笔记本电脑上的完整nvidia-smi.exe -q返回有关我的笔记本电脑GPU的以下信息: 代码语言:javascript 复制 PSC:\WINDOWS\system32>nvidia-smi-q===NVSMILOG===Timestamp:Wed Nov1721:48:192021Driver Version:510.06CUDAVersion:11.6Attached GPUs:1GPU00000000:01:00.0Product Name:NVIDIAGeForceGTX1050...
Command'nvcc'not found, but can be installed with: sudo apt install nvidia-cuda-toolkit 使用如下命令安装nvcc conda install -c nvidia cuda-nvcc 安装完后再测试就不会有问题了。但是这里有一点很奇怪,就是如果我直接在系统里面安装官方的 CUDA 和 CUDNN,nvcc识别到的就是正确的CUDA版本,但是这样安装显示...
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...
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。
NVIDIA-SMI 550.60.01 Driver Version: 551.76 CUDA Version: 12.4 Repro Steps I have a RTX3070Ti type GPU in my laptop, and I am using wsl2 with nvidia driver and cuda installed. Initially, after I run my wsl -d Ubuntu-20.04, I saw "libcuda.so.1 is not a symbolic link" in my dmes...
run python and execute the following two command import tensorflow as tf tf.config.list_physical_devices('GPU') Expected Behavior 2021-08-21 12:01:56.085139: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1716] Found device 0 with properties: ...
docker run --rm --gpus all nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04 I get this: docker: Error response from daemon: OCI runtime create failed: container_linux.go:370: starting container process caused: process_linux.go:459: container init caused: Running hook #0:...