安装conda 【本身就不需要root权限】

1.下载anconda https://www.anaconda.com/products/individual
或者直接清华园 https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/ 但是（有时候）出现不稳定：wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/Anaconda3-2020.02-Linux-x86_64.sh
下载到本地之后，上传到服务器，改文件 chmod 777 ** ，否则出现xftp上传错误
2. sh Anaconda....sh
3.会提示安装目录，输入一个【还没有创建的安装目录】"Anaconda3 will now be installed into this location": 如 /4Tdisk/用户名/Anaconda
4.装完它自己会添加path到~/.bashrc
5. source ~/.bashrc【更新一下用户配置文件】，通过conda info --e检查是否安装好了

安装cuda

1.查看版本显卡nvidia-smi,驱动版本是440.44
2.搜“nvidia driver cuda version”，可以看到可以安装cuda 10.1版本
3.sh cuda***.run
https://blog.csdn.net/hizengbiao/article/details/88625044
4.或者直接使用别人的cuda，写入到 ~/.profile

换清华源 win/linux下：
https://blog.csdn.net/wujialaoer/article/details/84977796

conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge 
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/

conda config --set show_channel_urls yes

PS. 关于找合适的cuda
1.【查看驱动和cuda匹配版本】nvidia-smi 是440.44版本
2.【查看内核和cuda匹配版本】gcc -v 是16.04 5.4.0版本
https://docs.nvidia.com/deploy/cuda-compatibility/index.html

https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwjFt8KR1efpAhVCIqYKHWKyB5IQFjABegQIBBAB&url=http%3A%2F%2Fdocs.nvidia.com%2Fcuda%2Fcuda-installation-guide-linux%2Findex.html&usg=AOvVaw2lfQs0Aks074pu4AYzt75N

【那我就安装10.1版本的】

安装cuda和cudnn，自定义目录

自定义目录：先创建安装路径 /4Tdisk/***/software/cuda/cuda-10.1/
https://blog.csdn.net/hizengbiao/article/details/88625044

【安装结果】

(base) ***@hp:/4Tdisk/***/download$ sh cuda_10.1.243_418.87.00_linux.run
===========
= Summary =
===========

Driver:   Not Selected
Toolkit:  Installed in /4Tdisk/***/software/cuda/cuda-10.1/
Samples:  Installed in /home/***/

Please make sure that
 -   PATH includes /4Tdisk/***/software/cuda/cuda-10.1/bin
 -   LD_LIBRARY_PATH includes /4Tdisk/***/software/cuda/cuda-10.1/lib64, or, add /4Tdisk/***/software/cuda/cuda-10.1/lib64 to /etc/ld.so.conf and run ldconfig as root

To uninstall the CUDA Toolkit, run cuda-uninstaller in /4Tdisk/***/software/cuda/cuda-10.1/bin

Please see CUDA_Installation_Guide_Linux.pdf in /4Tdisk/***/software/cuda/cuda-10.1/doc/pdf for detailed information on setting up CUDA.
***WARNING: Incomplete installation! This installation did not install the CUDA Driver. A driver of version at least 418.00 is required for CUDA 10.1 functionality to work.
To install the driver using this installer, run the following command, replacing <CudaInstaller> with the name of this run file:
    sudo <CudaInstaller>.run --silent --driver

Logfile is /tmp/cuda-installer.log

【按照Summary配置PATH】

export PATH="/4Tdisk/**/cuda/cuda-10.1/bin:$PATH"
export LD_LIBRARY_PATH="/4Tdisk/**/cuda/cuda-10.1/lib64:$LD_LIBRARY_PATH"

下载解压cudnn与复制

tar -xzvf cudnn-10.1-linux-x64-v7.6.5.32.tgz -C /4Tdisk/***/software/cuda/cuda-10.1/tem

cp /4Tdisk/***/software/cuda/cuda-10.1/tem/cuda/include/cudnn.h /4Tdisk/***/software/cuda/cuda-10.1/include
cp /4Tdisk/***/software/cuda/cuda-10.1/tem/cuda/lib64/libcudnn* /4Tdisk/***/software/cuda/cuda-10.1/lib64
chmod a+r /4Tdisk/***/software/cuda/cuda-10.1/include/cudnn.h /4Tdisk/***/software/cuda/cuda-10.1/lib64/libcudnn*

查看版本 nvcc --v

安装pytorch

1.创环境 conda create --name pytorch
conda install pytorch torchvision cudatoolkit=10.1
或者指定pytorch版本
conda install pytorch=1.5 torchvision cudatoolkit=10.1 -c pytorch

慢慢安装——anconda,cuda,cudnn等

原文：https://www.cnblogs.com/KongHuZi/p/13045034.html