Conda创建Pytorch局部环境

一、确保anaconda安装好

使用下列命令检测conda版本

conda --version

二、查看conda局部环境

conda env list

三、（可选）配置Pytorch镜像源

设置清华源

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

conda config --set show_channel_urls yes

查看设置

conda config --show channels

四、创建新的conda环境并命名为Pytorch

conda create -n pytorch python=3.8.20

C:\Users\zzy>conda env list
# conda environments:
#
base                  *  D:\Anaconda3\Anaconda3
pytorch                  D:\Anaconda3\Anaconda3\envs\pytorch

五、激活环境

conda activate pytorch

输入可能会遇到报错

C:\Users\zzy>conda activate pytorch

CommandNotFoundError: Your shell has not been properly configured to use 'conda activate'.
If using 'conda activate' from a batch script, change your
invocation to 'CALL conda.bat activate'.

To initialize your shell, run

    $ conda init <SHELL_NAME>

Currently supported shells are:
  - bash
  - cmd.exe
  - fish
  - tcsh
  - xonsh
  - zsh
  - powershell

See 'conda init --help' for more information and options.

IMPORTANT: You may need to close and restart your shell after running 'conda init'.

转为使用这条命令

CALL conda.bat activate pytorch

得到这种命令行：(pytorch) C:\Users\zzy>

六、在虚拟环境中安装 ipykernel

ipykernel 能够让 Jupyter Notebook 识别到该虚拟环境。在激活的虚拟环境中执行以下命令进行安装：

conda install ipykernel

七、将虚拟环境添加到 Jupyter Notebook

python -m ipykernel install --user --name pytorch --display-name "Python (pytorch)"