conda安装cuda下载很慢

慢慢安装——anconda,cuda,cudnn等

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 with the name of this run file:

sudo .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