我的笔记本电脑中有以下 Nvidia 显卡
ant@Anthill ~> lspci -k | grep -EA2 'VGA|3D'
00:02.0 VGA compatible controller: Intel Corporation 4th Gen Core Processor Integrated Graphics Controller (rev 06)
Subsystem: Lenovo 4th Gen Core Processor Integrated Graphics Controller
Kernel driver in use: i915
--
07:00.0 3D controller: NVIDIA Corporation GK208M [GeForce GT 740M] (rev a1)
Subsystem: Lenovo GK208M [GeForce GT 740M]
Kernel modules: nvidiafb, nouveau
我已经按照以下方式安装了驱动程序
sudo apt-add-repository ppa:graphics-drivers/ppa
sudo apt-get install nvidia-370 nvidia-prime
并从 nvidia 官方网站下载 cuda-7.5 二进制文件来获取 cuda 工具包
sudo ./NVidia-cuda-7.5.run
所有这些安装都是在转移到终端并停止 XOrg
sudo service lightdm stop
现在重启后
ant@Anthill ~> nvidia-smi
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 libnvidia-ml.so to your system PATH.
libnvidia-ml.so就在这里
ant@Anthill ~> ls /usr/lib/nvidia-370
alt_ld.so.conf libGLX_indirect.so.0@ libnvidia-fatbinaryloader.so.370.28
bin/ libGLX_nvidia.so.0@ libnvidia-fbc.so.370.28
ld.so.conf libGLX_nvidia.so.370.28 libnvidia-glcore.so.370.28
libEGL_nvidia.so.0@ libGLX.so@ libnvidia-glsi.so.370.28
libEGL_nvidia.so.370.28 libGLX.so.0 libnvidia-ifr.so@
libEGL.so@ libnvcuvid.so@ libnvidia-ifr.so.1@
libEGL.so.1 libnvcuvid.so.1@ libnvidia-ifr.so.370.28
libGLdispatch.so.0 libnvcuvid.so.370.28 libnvidia-ml.so@
libGLESv1_CM_nvidia.so.1@ libnvidia-cfg.so@ libnvidia-ml.so.1@
libGLESv1_CM_nvidia.so.370.28 libnvidia-cfg.so.1@ libnvidia-ml.so.370.28
libGLESv1_CM.so@ libnvidia-cfg.so.370.28 libnvidia-ptxjitcompiler.so.370.28
libGLESv1_CM.so.1 libnvidia-compiler.so@ libnvidia-tls.so.370.28
libGLESv2_nvidia.so.2@ libnvidia-compiler.so.1@ libnvidia-wfb.so.370.28
libGLESv2_nvidia.so.370.28 libnvidia-compiler.so.370.28 libOpenGL.so@
libGLESv2.so@ libnvidia-eglcore.so.370.28 libOpenGL.so.0
libGLESv2.so.2 libnvidia-egl-wayland.so.370.28 tls/
libGL.so@ libnvidia-encode.so@ vdpau/
libGL.so.1@ libnvidia-encode.so.1@ xorg/
libGL.so.1.0.0 libnvidia-encode.so.370.28
我也尝试将此目录添加到 PATH 和 LD_LIBRARY_PATH。但都没有成功。
还，
ls /dev | grep nvidia
什么也没有产生。也就是说没有设备存在/dev/nivida*
有什么建议可以让这个工作吗？在哪里nvidia-smi尝试找到libnvidia-ml.so？
答案1
LD_PRELOAD=/usr/lib/nvidia-367/libnvidia-ml.so nvidia-smi
答案2
我的错误通过这种方式解决
这让我找到了另一个解决方案/etc/nvidia-container-runtime/config.tomlldconfig 默认设置为“@/sbin/ldconfig”。由于某种原因，这似乎不起作用并且还产生了上述错误：
root@banshee:/var/log# docker run --rm --gpus=all nvidia/cuda:11.4-base nvidia-smi
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 libnvidia-ml.so to your system PATH.
将 ldconfig 路径更改为“/sbin/ldconfig”（而不是“@/sbin/ldconfig”）确实可以解决问题：
root@banshee:/var/log# docker run --rm --gpus=all nvidia/cuda:11.4-base nvidia-smi
Sun Jan 5 20:39:45 2020
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 430.64 Driver Version: 430.64 CUDA Version: 10.1 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 970 On | 00000000:01:00.0 On | N/A |
| 32% 39C P8 16W / 170W | 422MiB / 4038MiB | 3% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
+-----------------------------------------------------------------------------+
来源 ：github
答案3
在一些 nvidia-docker 容器崩溃后，我遇到了这个问题。libnvidia-ml.so出现在/usr/lib/nvidia-<version>，但nvidia-smi一直在抱怨。
我通过以下方式解决了问题sudo ldconfig.real
答案4
驱动程序升级后我遇到了这个问题。
我通过更改 LDCONFIG 文件修复了这个问题：
sudo vi /etc/ld.so.conf.d/cuda-8-0.conf
随着内容
/usr/local/cuda-8.0/targets/x86_64-linux/lib
/usr/lib/nvidia-<PUT_YOUR_VERSION_HERE>