pytorch环境搭建
2022-04-11 本文已影响0人
咖喱鸡蛋
测试各自方法,耗时一天,各自bug(windows下)。
虚拟环境解决:
1、添加清华数据源
2、conda create -n pytorch python=3.9
3、conda install pytorch torchvision torchaudio cudatoolkit=11.5 -c pytorch -c conda-forge
![](https://img.haomeiwen.com/i15242084/00d2b5bb6cc969eb.png)
4、切换vscode工作环境
![](https://img.haomeiwen.com/i15242084/49ce3184772b50a7.png)
5、测试工作状态
![](https://img.haomeiwen.com/i15242084/862990fb00d71ae7.png)
添加清华源:
C:\Users\gg.condarc
add:
channels:
- defaults
show_channel_urls: true
channel_alias: https://mirrors.tuna.tsinghua.edu.cn/anaconda
default_channels: - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/pro
-
https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
custom_channels:
conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
3、系统测试