环境：Ubuntu
一、准备环境
1.apt-get 更换源
cd /etc/apt
sudo apt-get install vim
sudo vim sources.list
deb http://mirrors.ustc.edu.cn/ubuntu/ xenial main restricted universe multiverse
deb http://mirrors.ustc.edu.cn/ubuntu/ xenial-security main restricted universe multiverse
deb http://mirrors.ustc.edu.cn/ubuntu/ xenial-updates main restricted universe multiverse
deb http://mirrors.ustc.edu.cn/ubuntu/ xenial-proposed main restricted universe multiverse
deb http://mirrors.ustc.edu.cn/ubuntu/ xenial-backports main restricted universe multiverse
deb-src http://mirrors.ustc.edu.cn/ubuntu/ xenial main restricted universe multiverse
deb-src http://mirrors.ustc.edu.cn/ubuntu/ xenial-security main restricted universe multiverse
deb-src http://mirrors.ustc.edu.cn/ubuntu/ xenial-updates main restricted universe multiverse
deb-src http://mirrors.ustc.edu.cn/ubuntu/ xenial-proposed main restricted universe multiverse
deb-src http://mirrors.ustc.edu.cn/ubuntu/ xenial-backports main restricted universe multiverse
sudo apt-get update
sudo apt-get upgrade
2. 修改pip源:
mkdir ~/.pip
vi ~/.pip/pip.conf
[global]
trusted-host = pypi.douban.com
index-url = http://pypi.douban.com/simple
sudo apt-get install python-pip
sudo apt-get install python-numpy swig python-dev python-wheel
二、安装Nvidia驱动
在系统设置->软件更新->附加驱动->选择nvidia最新驱动->应用更改
验证：输入命令：
nvidia-smi
显示NVIDIA-SMI结果。
三、下载并安装cuda8
sudo sh cuda_8.0.61_375.26_linux.run
Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 375.26? 注意是否安装显卡驱动选n。 安装位置：/usr/local/cuda-8.0 sample：/home/admin1
修改环境配置
sudo vim ~/.bashrc
加上
export PATH=/usr/local/cuda-8.0/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64:$LD_LIBRARY_PATH
source ~/.bashrc
四、对gcc降版，降到5.3以下
gcc --version
sudo apt-get install gcc-4.8
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.8 100
接下来编译测试cuda的sample
cd /usr/local/cuda/samples/1_Utilities/deviceQuery
sudo make
./deviceQuery
正常的话会输出显卡型号信息。
五、下载安装cuDNN
https://developer.nvidia.com/rdp/cudnn-download，下载v6.0，安装：
sudo dpkg -i cuda-repo-ubuntu1604-8-0-rc_8.0.27-1_amd64.deb
六、安装 tensorflow
sudo apt-get install libcupti-dev
pip install tensorflow-gpu
上面已经设置了从douban获取软件件，另外国内清华镜像地址：https://mirrors.tuna.tsinghua.edu.cn/help/tensorflow/
**执行：**
sudo ldconfig /usr/local/cuda/lib64
或者
export CUDA_HOME=/usr/local/cuda
export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
否则会提示libcublas.so.8.0:cannot open shared object file:No such file or directory
七、测试
import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))
八、cuda升级到10.1
https://blog.csdn.net/xundh/article/details/79169304
九、tensorflow升级到1.6
sudo pip uninstall tensorflow==1.4
sodu pip3 install tensorflow-gpu==1.6
