System：Ubuntu 16.04 LTS
CPU: Intel(R) Core(TM) i7-7700 CPU @ 3.60GHz
MemTotal: 16295024 kB
GPU: GeForce GTX 1080

#for case1: original driver installed by apt-get:
sudo apt-get remove --purge nvidia*

#for case2: original driver installed by runfile:
sudo chmod +x *.run
sudo ./NVIDIA-Linux-x86_64-384.59.run --uninstall

sudo vi /etc/modprobe.d/blacklist-nouveau.conf
or
sudo vi /etc/modprobe.d/blacklist.conf

blacklist nouveau
options nouveau modeset=0

sudo service lightdm stop #这会关闭图形界面，但不用紧张

#给驱动run文件赋予执行权限：
sudo chmod +x NVIDIA-Linux-x86_64-390.48.run
#后面的参数非常重要，不可省略：
sudo ./NVIDIA-Linux-x86_64-390.48.run –no-opengl-files

nvidia-smi # 若列出GPU的信息列表，表示驱动安装成功
nvidia-settings # 若弹出设置对话框，亦表示驱动安装成功(该命令只能在GUI下才能使用，关闭图形界面是无法弹出什么对话框的)

$ sudo service lightdm stop      // 关闭桌面服务

sudo sh cuda_10.0.130_410.48_linux.run --no-opengl-libs

Do you accept the previously read EULA，  输入 accept，进入下一步。
INSTALL NVIDIA Accelerates Graphics Driver for Linux-x86_64 375.26，  输入n，进入下一步；
Install the  CUDA 9.0 Toolkit?，  输入y， 进入下一步；
Enter Tookit Location 点击enter， 进入下一步；
Do you want to install a symbolic link at /usr/local/cuda，  输入y，进入下一步；
Install the CUDA 9.0 Samples?  输入y， 进入下一步；
Enter CUDA Samples Location 点击enter， 进入下一步；
程序开始安装。。。

Driver: Not Selectd
Toolkit: INstalled in /usr/local/cuda-9.0
Samples: Installed in /home/jerry, but missing recommended libraries

***WARNING: Incomplete installation! This installation did not install the CUDA Driver. A driver of version at least 361.00 is required for CUDA 8.0 functionality to work.
To install the driver using this installer, run the following command, replacing <CudaInstaller> with the name of this run file:
    sudo <CudaInstaller>.run -silent -driver

sudo sh cuda_9.0.176_384.81_linux.run -silent -driver

$ sudo service lightdm start     // 重启桌面服务

cd /usr/local/cuda-10.0/samples/1_Utilities/deviceQuery
sudo make clean && make
sudo ./deviceQuery

PATH=/usr/local/cuda/bin:$PATH
export PATH
LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64
export LD_LIBRARY_PATH

cudnn-9.0-linux-x64-v7.1.tar   # the cuDNN package

libcudnn7_7.1.3.16-1+cuda9.0_amd64-2.deb   # runtime library

libcudnn7-dev_7.1.3.16-1+cuda9.0_amd64-2.deb   # developer library

libcudnn7-doc_7.1.3.16-1+cuda9.0_amd64.deb   # the code samples and the cuDNN Library User Guide 

# 解压 cuDNN package.
$ tar -xzvf cudnn-9.0-linux-x64-v7.1.tgz
# 将下面的文件复制到 CUDA Toolkit 文件目录下。
$ sudo cp cuda/include/cudnn.h /usr/local/cuda/include
$ sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64
$ sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*
# 安装 runtime library,
sudo dpkg -i libcudnn7_7.1.3.16-1+cuda9.0_amd64-2.deb
# 安装 developer library,
sudo dpkg -i libcudnn7-dev_7.1.3.16-1+cuda9.0_amd64-2.deb
# 安装 code samples and the cuDNN Library User Guide
sudo dpkg -i libcudnn7-doc_7.1.3.16-1+cuda9.0_amd64.deb

1. 将某一个 cuDNN 样例复制到某一可读写文件目录下
$ cp -r /usr/src/cudnn_samples_v7/ $HOME
2. 进入该文件目录， 本文选择的是mnistCUDNN测试
$ cd $HOME/cudnn_samples_v7/mnistCUDNN
3. 编译 mnistCUDNN 样例.
$ make clean && make
4. 运行 mnistCUDNN 样例.
$ ./mnistCUDNN
5. 如果安装成功，程序的最后则会显示
Test passed!

---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-1-64156d691fe5> in <module>()
----> 1 import tensorflow as tf

/home/jerry/workshop/virtualenv/tensor_jupyer/local/lib/python2.7/site-packages/tensorflow/__init__.py in <module>()
     22 
     23 # pylint: disable=wildcard-import
---> 24 from tensorflow.python import *  # pylint: disable=redefined-builtin
     25 # pylint: enable=wildcard-import
     26 

/home/jerry/workshop/virtualenv/tensor_jupyer/local/lib/python2.7/site-packages/tensorflow/python/__init__.py in <module>()
     47 import numpy as np
     48 
---> 49 from tensorflow.python import pywrap_tensorflow
     50 
     51 # Protocol buffers

/home/jerry/workshop/virtualenv/tensor_jupyer/local/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py in <module>()
     72 for some common reasons and solutions.  Include the entire stack trace
     73 above this error message when asking for help.""" % traceback.format_exc()
---> 74   raise ImportError(msg)
     75 
     76 # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long

ImportError: Traceback (most recent call last):
  File "/home/jerry/workshop/virtualenv/tensor_jupyer/local/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/home/jerry/workshop/virtualenv/tensor_jupyer/local/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "/home/jerry/workshop/virtualenv/tensor_jupyer/local/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory

Failed to load the native TensorFlow runtime.

See https://www.tensorflow.org/install/install_sources#common_installation_problems

for some common reasons and solutions.  Include the entire stack trace
above this error message when asking for help.