环境：Ubuntu
准备环境
apt-get 更换源
cd /etc/aptsudo apt-get install vim sudo vim sources.list
deb http://mirrors.ustc.edu.cn/ubuntu/ xenial main restricted universe multiversedeb http://mirrors.ustc.edu.cn/ubuntu/ xenial-security main restricted universe multiversedeb http://mirrors.ustc.edu.cn/ubuntu/ xenial-updates main restricted universe multiversedeb http://mirrors.ustc.edu.cn/ubuntu/ xenial-proposed main restricted universe multiversedeb http://mirrors.ustc.edu.cn/ubuntu/ xenial-backports main restricted universe multiversedeb-src http://mirrors.ustc.edu.cn/ubuntu/ xenial main restricted universe multiversedeb-src http://mirrors.ustc.edu.cn/ubuntu/ xenial-security main restricted universe multiversedeb-src http://mirrors.ustc.edu.cn/ubuntu/ xenial-updates main restricted universe multiversedeb-src http://mirrors.ustc.edu.cn/ubuntu/ xenial-proposed main restricted universe multiversedeb-src http://mirrors.ustc.edu.cn/ubuntu/ xenial-backports main restricted universe multiverse
sudo apt-get updatesudo apt-get upgrade
修改pip源:
mkdir ~/.pipvi ~/.pip/pip.conf
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[global]trusted-host = pypi.douban.comindex-url = http://pypi.douban.com/simple
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sudo apt-get install python-pipsudo apt-get install python-numpy swig python-dev python-wheel
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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
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显示NVIDIA-SMI结果。
下载并安装cuda8
sudo sh cuda_8.0.61_375.26_linux.run
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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-8.0sample：/home/admin1修改环境配置
sudo vim ~www.taohuayuan178.com/.bashrc
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加上
export PATH=/usr/local/cuda-8.0/bin:$PATH export LD_LIBRARY_www.mhylpt.com PATH= www.thd540.com /usr/local/cuda-8.0/lib64:$LD_LIBRARY_PATH
source ~/.bashrc
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对gcc降版，降到5.3以下
gcc --versionsudo apt-get install gcc-4.8sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.8 10
接下来编译测试cuda的sample
cd /usr/local/cuda/samples/1_Utilities/deviceQuery sudo www.yongshiyule178.com make./deviceQuery
正常的话会输出显卡型号信息。
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
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安装 tensorflow
sudo apt-get install libcupti-devpip 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 www.dasheng178.com www.fengshen157.com /usr/local/cuda/lib64或者export CUDA_HOME=/usr/local/cudaexport 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
测试
import tensorflow as tfhello = tf.constant('Hello,www.leyouzaixan.cn TensorFlow!')sess = tf.Session()print(sess.run(hello))