1 cudnn安装
按照官网教程进行安装：https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#download
1.1 下载
从https://developer.nvidia.com/cudnn上下载cudnn相应版本的压缩包，若非tgz版本，修改后缀名为tgz
1.2 解压缩
$ tar -xzvf cudnn-9.0-linux-x64-v7.tgz
1.3 复制和修改权限
$ 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*
1.4 查看cudnn版本：
cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A2
2 tensorflow安装
2.1 安装native pip, python2.7,GPU support ,tensorflow
$ sudo apt-get install python-pip python-dev **安装pip**
$ pip install tensorflow-gpu **安装tensorflow**
#若成功，则进入验证阶段，否则执行第三行指令
$ sudo pip install --upgrade \
https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.2.1-cp27-none-linux_x86_64.whl
2.2 验证
进入python，执行如下指令
# Python
import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))
屏幕显示 Hello, TensorFlow!，代表tensorflow安装成功
