M1配置Anaconda | Halensea

开发环境

发布日期: 2022-07-13

更新日期: 2026-10-28

文章字数: 640

阅读时长: 3 分

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设备系统： MacBook Air M1(AppleSilicon)

Anaconda

anaconda官网链接🔗

选择mac版本下载，一路默认安装，结束后开启终端验证 conda info 。

virtual packages 与 platform 显示 arm64 安装成功

     active environment : base
    active env location : /Users/xxx/opt/anaconda3
            shell level : 1
       user config file : /Users/xxx/.condarc
 populated config files : 
          conda version : 4.13.0
    conda-build version : 3.21.9
         python version : 3.9.12.final.0
       virtual packages : __osx=12.5=0
                          __unix=0=0
                          __archspec=1=arm64
       base environment : /Users/hailin/opt/anaconda3  (writable)
      conda av data dir : /Users/hailin/opt/anaconda3/etc/conda
  conda av metadata url : None
           channel URLs : https://repo.anaconda.com/pkgs/main/osx-arm64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/osx-arm64
                          https://repo.anaconda.com/pkgs/r/noarch
          package cache : /Users/xxx/opt/anaconda3/pkgs
                          /Users/xxx/.conda/pkgs
       envs directories : /Users/xxx/opt/anaconda3/envs
                          /Users/xxx/.conda/envs
               platform : osx-arm64
             user-agent : conda/4.13.0 requests/2.27.1 CPython/3.9.12 Darwin/21.6.0 OSX/12.5
                UID:GID : 501:20
             netrc file : None
           offline mode : False

miniforge3

也可以下载 miniforge3，下载地址为：链接🔗

在Download中选择 Apple Silicon 版本：arm64 (Apple Silicon)将下载好的脚本移动到用户目录，并赋予执行权限，安装即可。

安装

下载完以后在terminal依次输入以下三个命令，后面的命令也都是在terminal输入

chmod +x ~/Downloads/Miniforge3-MacOSX-arm64.sh
sh ~/Downloads/Miniforge3-MacOSX-arm64.sh
source ~/miniforge3/bin/activate

查看版本

conda --version
python --version

创建环境，指定为python3.9

env_name是环境名字

conda create -n env_name python==3.9

激活环境

conda activate env_name

安装jupyter

conda install jupyter notebook

使用jupyter

jupyter notebook

Tensorflow

打开终端，在conda环境中，默认安装2.8版本的tensorflow，也可以指定版本。最好默认

conda install -c apple tensorflow-deps
python -m pip install tensorflow-macos
python -m pip install tensorflow-metal

查看tensorflow

import tensorflow as tf

def print_hi(name):
    # Use a breakpoint in the code line below to debug your script.
    print(f'Hi, &#123;name&#125;')  # Press ⌘F8 to toggle the breakpoint.

# Press the green button in the gutter to run the script.
if __name__ == '__main__':
    print_hi('PyCharm')
    # 查看tensorflow版本
    print('tensorflow Version ：'+tf.__version__)

PyTorch

PyTorch官网链接🔗

conda create -n torchEnv python=3.8
conda activate torchEnv
conda install pytorch torchvision torchaudio -c pytorch

终端The following NEW packages will be INSTALLED:出现了 pytorch pytorch/osx-arm64::pytorch-1.12.1-py3.8_0

终端输入python进入编程环境

Python 3.8.13 (default, Mar 28 2022, 06:13:39) 
[Clang 12.0.0 ] :: Anaconda, Inc. on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> x = torch.rand(5, 3)
>>> print(x)
tensor([[0.1943, 0.7646, 0.3717],
        [0.1829, 0.6984, 0.9232],
        [0.6371, 0.0138, 0.2590],
        [0.4855, 0.7717, 0.4801],
        [0.6527, 0.8453, 0.6713]])
>>> torch.__version__