因为系统环境变量崩溃，进行重做了系统，全部还原，在本机重新安装了显卡驱动、cuda等，具体系统版本如下。
系统环境：ubuntu18.04
显卡：rtx2080ti
cuda版本：10.2

安装RTX2080ti显卡驱动

1、 ubuntu 18.04默认安装了第三方开源的驱动程序nouveau，安装nvidia显卡驱动首先需要禁用nouveau，不然会碰到冲突的问题，导致无法安装nvidia显卡驱动。

# 首先编辑文件blacklist.conf
sudo vim /etc/modprobe.d/blacklist.conf# 在文件最后部分插入以下两行内容
blacklist nouveau
options nouveau modeset=0#更新系统
sudo update-initramfs -u#重启系统（一定要重启）
reboot#验证nouveau是否已禁用，若没有提示任何信息则是已经禁用
lsmod | grep nouveau

2、下载安装显卡驱动，在官网找到相应版本的驱动下载即可，http://www.nvidia.cn/page/home.html，将下载的驱动拷贝到/home目录下

# 下载的2080Ti驱动如下
440.82.run

3、在ubuntu按ctrl+alt+f1进入命令行界面，关闭图形界面，卸载原有的驱动

# 这个是关闭图形界面，不执行会出错sudo service lightdm stop      # 然后卸载掉原有驱动：
sudo apt-get remove nvidia-*

4、给驱动文件赋予权限并进行安装，在安装过程中执行默认选项即可

# 进行赋予权限sudo chmod  a+x NVIDIA-Linux-x86_64-396.18.run# 安装
sudo ./440.82.run

5、挂在显卡驱动，进行测试，进行重启

# 挂在显卡驱动
modprobe nvidia# 检查驱动是否安装成功
nvidia-smi# 重启
sudo reboot

安装Cuda10.2

1、安装cuda10.2，在弹出的界面输入accept，因为我们已经安装了显卡驱动，所以就不需要在安装显卡驱动了

# 安装
sudo ./cuda_10.2.89_440.33.01_linux.run

2、配置环境变量

# 打开bashrc文件
sudo gedit ~/.bashrc# 添加三条路径
export CUDA_HOME=/usr/local/cuda
export PATH=$PATH:$CUDA_HOME/bin
export LD_LIBRARY_PATH=/usr/local/cuda-10.2/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}#让配置生效
source ~/.bashrc

3、查看是否安装成功

# 输入
nvcc -V# 安装成功
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Wed_Oct_23_19:24:38_PDT_2019
Cuda compilation tools, release 10.2, V10.2.89

安装Cudnn

1、从https://developer.nvidia.com/cudnn下载相应版本的cudnn
2、下载后解压，将cudnn文件拷贝到cuda中的相应目录

#将cuda/include/cudnn.h文件复制到/usr/local/cuda-10.2/include文件夹
#将cuda/lib64/下所有文件复制到/usr/local/cuda-10.2/lib64文件夹中
cp cuda/include/cudnn.h /usr/local/cuda-10.2/include
cp cuda/lib64/* /usr/local/cuda-10.2/lib64# 给予权限
sudo chmod a+r /usr/local/cuda/include/cudnn.h sudo chmod a+r /usr/local/cuda/lib64/libcudnn*

3、验证是否安装成功

cd /usr/local/cuda-10.2/samples/1_Utilities/deviceQuery
sudo make
sudo ./deviceQuery

输出如下设备信息表示成功

./deviceQuery Starting...CUDA Device Query (Runtime API) version (CUDART static linking)Detected 2 CUDA Capable device(s)Device 0: "GeForce RTX 2080 SUPER"CUDA Driver Version / Runtime Version          10.2 / 10.2CUDA Capability Major/Minor version number:    7.5Total amount of global memory:                 7979 MBytes (8366784512 bytes)(48) Multiprocessors, ( 64) CUDA Cores/MP:     3072 CUDA CoresGPU Max Clock rate:                            1845 MHz (1.85 GHz)Memory Clock rate:                             7751 MhzMemory Bus Width:                              256-bitL2 Cache Size:                                 4194304 bytesMaximum 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 layersMaximum Layered 2D Texture Size, (num) layers  2D=(32768, 32768), 2048 layersTotal amount of constant memory:               65536 bytesTotal amount of shared memory per block:       49152 bytesTotal number of registers available per block: 65536Warp size:                                     32Maximum number of threads per multiprocessor:  1024Maximum number of threads per block:           1024Max 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 bytesTexture alignment:                             512 bytesConcurrent copy and kernel execution:          Yes with 3 copy engine(s)Run time limit on kernels:                     YesIntegrated GPU sharing Host Memory:            NoSupport host page-locked memory mapping:       YesAlignment requirement for Surfaces:            YesDevice has ECC support:                        DisabledDevice supports Unified Addressing (UVA):      YesDevice supports Compute Preemption:            YesSupports Cooperative Kernel Launch:            YesSupports MultiDevice Co-op Kernel Launch:      YesDevice PCI Domain ID / Bus ID / location ID:   0 / 1 / 0Compute Mode:< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >Device 1: "GeForce RTX 2080 SUPER"CUDA Driver Version / Runtime Version          10.2 / 10.2CUDA Capability Major/Minor version number:    7.5Total amount of global memory:                 7982 MBytes (8370061312 bytes)(48) Multiprocessors, ( 64) CUDA Cores/MP:     3072 CUDA CoresGPU Max Clock rate:                            1845 MHz (1.85 GHz)Memory Clock rate:                             7751 MhzMemory Bus Width:                              256-bitL2 Cache Size:                                 4194304 bytesMaximum 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 layersMaximum Layered 2D Texture Size, (num) layers  2D=(32768, 32768), 2048 layersTotal amount of constant memory:               65536 bytesTotal amount of shared memory per block:       49152 bytesTotal number of registers available per block: 65536Warp size:                                     32Maximum number of threads per multiprocessor:  1024Maximum number of threads per block:           1024Max 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 bytesTexture alignment:                             512 bytesConcurrent copy and kernel execution:          Yes with 3 copy engine(s)Run time limit on kernels:                     NoIntegrated GPU sharing Host Memory:            NoSupport host page-locked memory mapping:       YesAlignment requirement for Surfaces:            YesDevice has ECC support:                        DisabledDevice supports Unified Addressing (UVA):      YesDevice supports Compute Preemption:            YesSupports Cooperative Kernel Launch:            YesSupports MultiDevice Co-op Kernel Launch:      YesDevice PCI Domain ID / Bus ID / location ID:   0 / 2 / 0Compute Mode:< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
> Peer access from GeForce RTX 2080 SUPER (GPU0) -> GeForce RTX 2080 SUPER (GPU1) : No
> Peer access from GeForce RTX 2080 SUPER (GPU1) -> GeForce RTX 2080 SUPER (GPU0) : NodeviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.2, CUDA Runtime Version = 10.2, NumDevs = 2

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ubuntu18.04安装RTX2080ti显卡驱动+cuda10.2+cudnn

安装RTX2080ti显卡驱动

安装Cuda10.2

安装Cudnn

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