Anaconda 安装

下载地址：https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/

python3.8版本

Anaconda3-2021.05-Windows-x86_64.exe 477.2M 2021-05-13 22:08:48 93db42390444019e98b442ab281e1091671b6dce64daf08928d337ffc83cf3d2

配置conda镜像源

查看源

conda config --show-sources

【环境配置】conda 安装包记录_conda

配置镜像源

pytorch

conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/

Conda Forge

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

msys2

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

bioconda

conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda/

menpo

conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/menpo/

main

conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/

free

conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --set show_channel_urls yes

或者修改.condarc文件

show_channel_urls: true
ssl_verify: true
channels:
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/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/pkgs/main/
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
  - defaults
channel_priority: flexible
envs_dirs:
  - D://Program//DevInstall//Anaconda//envs

或者

channels:
  - defaults
show_channel_urls: true
default_channels:
  - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
  - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
custom_channels:
  conda-forge: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  msys2: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  bioconda: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  menpo: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  pytorch: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  simpleitk: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud

新建虚拟环境

conda create -n zj python=3.8.15

【环境配置】conda 安装包记录_虚拟环境_02


初始安装包

【环境配置】conda 安装包记录_虚拟环境_03

安装Pytorch

激活虚拟环境

conda activate zj

安装Pytorch 1.12.1
Linux and Windows

# CUDA 11.3
conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.3 -c pytorch

该版本自己笔记本和服务器都可正常运行。

【环境配置】conda 安装包记录_虚拟环境_04


将会安装1.98GB的包。

conda 安装各种包

conda install ipykernel

conda install tqdm

conda install -c ravelbio torchsummary

conda install matplotlib

conda install pytorch-scatter -c pyg

conda install -c anaconda scikit-learn

conda install -c conda-forge python-lmdb

conda install pyg -c pyg -c conda-forge

torch_geometric

conda install -c conda-forge opencv