Ubuntu 16.04.4安装Anaconda

$ lsb_release -a
No LSB modules are available.
Distributor ID:    Ubuntu
Description:    Ubuntu 16.04.4 LTS
Release:    16.04
Codename:    xenial

./Anaconda3-5.3.1-Linux-x86_64.sh

$export PATH=/usr/local/cuda-9.0/bin${PATH:+:${PATH}}
$export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

sudo cp cudnn-9.0-linux-x64-v7.4.2.24.solitairetheme8 cudnn-9.0-linux-x64-v7.4.2.24.tgz
 
tar -xvf cudnn-9.0-linux-x64-v7.4.2.24.tgz

$ tar -zxvf cudnn-9.0-linux-x64-v7.tgz
cuda/include/cudnn.h
cuda/NVIDIA_SLA_cuDNN_Support.txt
cuda/lib64/libcudnn.so
cuda/lib64/libcudnn.so.7
cuda/lib64/libcudnn.so.7.ｘ.ｘ　　＃　这里版本是你cudnn解压出来的版本
cuda/lib64/libcudnn_static.a
$ sudo cp cuda/include/cudnn.h /usr/local/cuda/include/
$ sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64/

$ cd /usr/local/cuda/lib64
$ sudo chmod +r libcudnn.so.7.0.4  （这里可以到文件夹看是哪个版本，例如libcudnn.so.7.4.2）
$ sudo ln -sf libcudnn.so.7.0.4 libcudnn.so.7  
$ sudo ln -sf libcudnn.so.7 libcudnn.so  
$ sudo ldconfig 

$ cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2
#define CUDNN_MAJOR 7
#define CUDNN_MINOR 4
#define CUDNN_PATCHLEVEL 2
--
#define CUDNN_VERSION (CUDNN_MAJOR * 1000 + CUDNN_MINOR * 100 + CUDNN_PATCHLEVEL)
 
#include "driver_types.h"