安装Anaconda：
- 官网下载Anaconda
- 切换到下载目录
cd ~/下载/
- 用bash运行下载好的.sh文件
bash Anaconda2-4.3.0-Linux-x86_64.sh
- 进入欢迎界面
Welcome to Anaconda2 4.3.0 (by Continuum Analytics,Inc.)
In order to continue the installation process,please review the license
agreement.
Please,press ENTER to continue
>>>
- 按回车
================
Anaconda License
================
Copyright 2016,Continuum Analytics,Inc.
All rights reserved under the 3-clause BSD License:
Redistribution and use in source and binary forms,with or without
modification,are permitted provided that the following conditions
are met:
* Redistributions of source code must retain the above copyright no
tice,this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice,this list of conditions and the following disclaimer in the documen
tation
and/or other materials provided with the distribution.
* Neither the name of Continuum Analytics,Inc. nor the names of it
s
contributors may be used to endorse or promote products derived fro
m this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES,INCLUDING,BUT NOT LIMITED T
O,THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL CONTINUUM ANALYTICS,INC. BE LIAB
LE FOR
ANY DIRECT,INDIRECT,INCIDENTAL,SPECIAL,EXEMPLARY,OR CONSEQUENT
--更多--
可以按q退出
- 显示是否同意条款，输入yes
Do you approve the license terms? [yes|no]
>>> yes
- 跳出是否使用默认安装路径，直接回车（如果要改直接输入想要的安装路径）
Anaconda2 will now be installed into this location:
/home/ziven/anaconda2
- Press ENTER to confirm the location
- Press CTRL-C to abort the installation
- Or specify a different location below
[/home/ziven/anaconda2] >>>
- 等待安装
- 安装完成，选择是否配置环境变量【注意：默认是no】，因此这里要输入yes，否则之后要手动添加环境变量
Python 2.7.13 :: Continuum Analytics,Inc.
creating default environment...
installation finished.
Do you wish the installer to prepend the Anaconda2 install location
to PATH in your /home/ziven/.bashrc ? [yes|no]
[no] >>> yes
- Anaconda安装完成
Prepending PATH=/home/ziven/anaconda2/bin to PATH in /home/ziven/.bashrc
A backup will be made to: /home/ziven/.bashrc-anaconda2.bak
For this change to become active,you have to open a new terminal.
Thank you for installing Anaconda2!
Share your notebooks and packages on Anaconda Cloud!
Sign up for free: https://anaconda.org
- 输入
anacron -V
可显示版本
Anacron 2.3
Copyright (C) 1998 Itai Tzur <itzur@actcom.co.il>
Copyright (C) 1999 Sean 'Shaleh' Perry <shaleh@debian.org>
Copyright (C) 2004 Pascal Hakim <pasc@redellipse.net>
Mail comments,suggestions and bug reports to <pasc@redellipse.net>.
安装CUDA：
- 确保GPU为CUDA所支持的GPU
lspci | grep -i nvidia
参照GPU支持列表
- 确定系统版本
uname -m && cat /etc/*release
- 确定gcc版本
gcc --version
- 选择显卡驱动
- 下载CUDA Toolkit,建议使用.deb
- 切换到下载目录
sudo dpkg -i cuda-repo-<distro>_<version>_<architecture>.deb
- 更新apt源
sudo apt-get update
sudo apt-get upgrade
-
安装cuda
sudo apt-get install cuda
-
再次更新apt源
sudo apt-get update
sudo apt-get upgrade
- 更新软件包
sudo apt-get cuda
- 选择最新安装的显卡驱动
-
- 如果没有新的显卡驱动可以如下安装
sudo apt-get install cuda-drivers
- 添加环境变量
export PATH=/usr/local/cuda-8.0/bin${PATH:+:${PATH}}
-
检测安装
1 cd /usr/local/cuda-8.0/samples/
2 sudo make
- 使用deviceQuery检测安装
1 cd ./bin/x86_64/linux/release/
2 ./deviceQuery
- 可以看到显卡信息和最后的PASS即可
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "GeForce 940MX"
CUDA Driver Version / Runtime Version 8.0 / 8.0
CUDA Capability Major/Minor version number: 5.0
Total amount of global memory: 2002 MBytes (2099642368 bytes)
( 3) Multiprocessors,(128) CUDA Cores/MP: 384 CUDA Cores
GPU Max Clock rate: 1242 MHz (1.24 GHz)
Memory Clock rate: 1001 Mhz
Memory Bus Width: 64-bit
L2 Cache Size: 1048576 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(65536),2D=(65536,65536),3D=(4096,4096,4096)
Maximum Layered 1D Texture Size,(num) layers 1D=(16384),2048 layers
Maximum Layered 2D Texture Size,(num) layers 2D=(16384,16384),2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 2048
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,z): (1024,1024,64)
Max dimension size of a grid size (x,z): (2147483647,65535,65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 1 copy engine(s)
Run time limit on kernels: Yes
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 2 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery,CUDA Driver = CUDART,CUDA Driver Version = 8.0,CUDA Runtime Version = 8.0,NumDevs = 1,Device0 = GeForce 940MX
Result = PASS
- SElinux报错的话需要
sudo setenforce 0
- 然后跑一下bandwidthTest看一下
./bandwidthTest
显示PASS即可
- CUDA安装完成
安装cuDNN:
- 下载cuDNN
- 进入下载目录解压tar包
1 cd ~/下载/
2 tar -zxf cudnn-8.0-linux-x64-v5.1.tgz cuda/
- 进入cuda文件夹
cd ~/cuda
- 复制头文件到/usr/local/include
sudo cp include/cudnn.h /usr/local/include/
- 复制lib文件到/usr/local/lin
sudo cp lib64/* /usr/local/lib
- 编辑.bashrc添加环境变量
vim ~/.bashrc
在最后一行添加
export LD_LIBRARY_PATH=/usr/local/lib
安装theano：
- 配置.theanorc（配置GPU加速）：
cd ~
vim .theanorc
- 写入并保存：
[global]
floatX=float32 device=gpu base_compiledir=~/external/.theano/ allow_gc=False warn_float64=warn [mode]=FAST_RUN [nvcc] fastmath=True [cuda] root=/usr/local/cuda
-
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