工欲善其事，必先利其器

工欲善其事，必先利其器是说:工匠想要使他的工作做好，一定要先让工具锋利。比喻要做好一件事，准备工作非常重要。语出《论语·卫灵公》：子贡问为仁。子曰：“工欲善其事，必先利其器。居是邦也，事其大夫之贤者，友其士之仁者。”

An artisan must first sharpen his tools if he is to do his work well.

目录

cuda/ cudnn

Download

Install & Uninstall

anaconda

Download

Install & Uninstall

pytorch / torchvision / cudatoolkit

版本检测

conda经常由于网速问题, 在安装一些比较大的包时会卡住而失败. 例如报错: (熟悉吧)

CondaError: CondaHTTPError: HTTP 000 CONNECTION FAILED for url https://conda.anaconda.org/menpo/linux-64/boost-1.59.0-py27_0.tar.bz2

Elapsed: -

An HTTP error occurred when trying to retrieve this URL.

HTTP errors are often intermittent, and a simple retry will get you on your way.

cuda/ cudnn

Download

1、官网下载准备安装包:

cuda ：选择对应的系统 --> runfile(local) --> Base Installer + Patch 1(补丁)

cudnn ：注册登录–>选择对应版本–>Runtime Library + Developer Library + Code Samples 三个文件下载(Linux 版本)

2、命令行下载 (cuda)：

wget https://developer.download.nvidia.com/compute/cuda/11.2.0/local_installers/cuda_11.2.0_460.27.04_linux.run

Install & Uninstall

***cuda***

！！！安装

sudo sh ./cuda_***_linux.run

或者

sudo chmod +x ./cuda_***_linux.run (加入可执行权限)

sudo ./cuda_***_linux.run

！！卸载

sudo /usr/local/cuda/bin/uninstall*** #不同版本，卸载文件名不一样，但都是执行该类文件即可

！！！查看

nvcc -V

或者

nvidia-smi

！！！添加PATH

#文件路径，看着改就行

vim ~/.bashrc

export PATH=/usr/local/cuda-10.0/bin:$PATH

export LD_LIBRARY_PATH=/usr/local/cuda-10.0/lib64:$LD_LIBRARY_PATH

source ~/.bashrc

***cudnn***

！！！安装

sudo dpkg -i libcudnn8_8.0.3.33-1+cuda11.0_amd64.deb

sudo dpkg -i libcudnn8-dev_8.0.3.33-1+cuda11.0_amd64.deb

sudo dpkg -i libcudnn8-samples_8.0.3.33-1+cuda11.0_amd64.deb

！！！卸载

sudo rm -rf /usr/local/cuda/include/cudnn.h

sudo rm -rf /usr/local/cuda/lib64/libcudnn*

#可选操作，删了会更干净点，没有找到就算了，问题不大

whereis libcudnn.so.8 (不同版本数字不一样)

rm -f libcudnn.so.8

！！！查看

cat /usr/local/cuda/include/cudnn.h | grep CUDNN_MAJOR -A 2

如果出现如下信息，说明cuDNN已正确识别。

#define CUDNN_MAJOR 7

#define CUDNN_MINOR 6

#define CUDNN_PATCHLEVEL 5

--

#define CUDNN_VERSION (CUDNN_MAJOR * 1000 + CUDNN_MINOR * 100 + CUDNN_PATCHLEVEL)

#include "driver_types.h"

anaconda

Download

1、官网

2、清华镜像

3、命令行

wget -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/Anaconda3-5.3.1-Linux-x86_64.sh(文件下载的URL)

Install & Uninstall

！！！安装

bash ./Anaconda***.sh --> 根据提示修改路径(默认或自定义)

！！！卸载

删除安装位置的Anaconda文件即可

！！！添加PATH

vim ~/.bashrc

export PATH=/anaconda_path/bin:$PATH

export LD_LIBRARY_PATH=/anaconda_path/bin:$LD_LIBRARY_PATH

!!!查看

$ python

Python 3.6.12 |Anaconda, Inc.| (default, Sep 8 2020, 23:10:56) │

[GCC 7.3.0] on linux │

Type "help", "copyright", "credits" or "license" for more information.

!!!创建一个新环境

conda create -n new_env python=3.X

source activate new_env

source/conda deactivate new_env

pytorch / torchvision / cudatoolkit

版本检测