ubuntu16.04下安装NVIDIA驱动出现循环登陆问题
首先是在英伟达的官网上查找你自己电脑的显卡型号然后下载相应的驱动。
网址：http://www.nvidia.cn/page/home.html
然后下载下来之后，在ubuntu下按ctrl+alt+f1进入命令行界面，
然后在命令行界面下输入：
sudo service lightmd stop //这个是关闭图形界面
然后卸载掉原有驱动：
sudo apt-get remove nvidia-*
驱动一般为.run文件，给驱动run文件赋予执行权限：
sudo chmod a+x NVIDIA-Linux-x86_64-xxx.run
安装：
sudo ./NVIDIA-Linux-x86_64-xxx.run -no-x-check -no-nouveau-check -no-opengl-files //只有这样安装才不会出现循环登陆的问题
重启
reboot
重启之后显卡驱动便安装好了
jwy@jwy:~$ cd /usr/local/cuda-8.0/samples/1_Utilities/deviceQuery
jwy@jwy:/usr/local/cuda-8.0/samples/1_Utilities/deviceQuery$ make
make: Nothing to be done for 'all'.
jwy@jwy:/usr/local/cuda-8.0/samples/1_Utilities/deviceQuery$ sudo ./deviceQuery ./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "GeForce GTX 1050 Ti"
CUDA Driver Version / Runtime Version 9.1 / 8.0
CUDA Capability Major/Minor version number: 6.1
Total amount of global memory: 4042 MBytes (4238737408 bytes)
( 6) Multiprocessors, (128) CUDA Cores/MP: 768 CUDA Cores
GPU Max Clock rate: 1620 MHz (1.62 GHz)
Memory Clock rate: 3504 Mhz
Memory Bus Width: 128-bit
L2 Cache Size: 1048576 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 2048
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 2 copy engine(s)
Run time limit on kernels: No
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 9.1, CUDA Runtime Version = 8.0, NumDevs = 1, Device0 = GeForce GTX 1050 Ti
Result = PASS
