macm1安装tensorflow以及pycharm配置

macm1安装tensorflow以及pycharm配置

使用MacOS 12

必需条件：macOS 12+

安装conda

安装Miniforge（包含conda及一个python环境）

下载地址1：https://github.com/conda-forge/miniforge/#download
下载地址2：https://gitcode.net/mirrors/conda-forge/miniforge?utm_source=csdn_github_accelerator

chmod +x ~/Downloads/Miniforge3-MacOSX-arm64.sh
sh ~/Downloads/Miniforge3-MacOSX-arm64.sh

// 按照提示输入，剩下的一直回车键
source ~/miniforge3/bin/activate

具体过程

xxMacBook-Pro ~ % chmod +x ~/Downloads/Miniforge3-MacOSX-arm64.sh
xxMacBook-Pro ~ % sh ~/Downloads/Miniforge3-MacOSX-arm64.sh

Welcome to Miniforge3 22.9.0-3

In order to continue the installation process, please review the license
agreement.
Please, press ENTER to continue
>>> enter （需要填写）
...
Do you accept the license terms? [yes|no]
>>> yes   （需要填写）
...
Miniforge3 will now be installed into this location:
/Users/guohaonan/miniforge3

  - Press ENTER to confirm the location
  - Press CTRL-C to abort the installation
  - Or specify a different location below

[/Users/xxx/miniforge3] >>> enter (可以选填，可以不修改，默认为miniforge3，第一次填以为是enter...，将错就错)
PREFIX=/Users/xxx/enter
...


                                           __
          __  ______ ___  ____ _____ ___  / /_  ____ _
         / / / / __ `__ \/ __ `/ __ `__ \/ __ \/ __ `/
        / /_/ / / / / / / /_/ / / / / / / /_/ / /_/ /
       / .___/_/ /_/ /_/\__,_/_/ /_/ /_/_.___/\__,_/
      /_/

conda-forge/osx-arm64                                       Using cache
conda-forge/noarch                                          Using cache

Transaction

  Prefix: /Users/xxx/enter
...

  Package                      Version  Build               Channel                     Size
──────────────────────────────────────────────────────────────────────────────────────────────
  Install:
──────────────────────────────────────────────────────────────────────────────────────────────

  + brotlipy                     0.7.0  py310h8e9501a_1005  conda-forge/osx-arm64     Cached
  + bzip2                        1.0.8  h3422bc3_4          conda-forge/osx-arm64     Cached
  + ca-certificates          2022.12.7  h4653dfc_0          conda-forge/osx-arm64     Cached

...
Transaction finished
installation finished.
Do you wish the installer to initialize Miniforge3
by running conda init? [yes|no]
[no] >>> yes (需要填写)
...
Thank you for installing Miniforge3!

// enter目录将错就错
source ~/enter/bin/activate

执行完之后，环境改变，终端显示当前环境

(base) xxMacBook-Pro ~ % conda --version
conda 22.9.0

创建一个conda环境

conda create -n tf python==3.9

切换到新环境

conda activate tf

(base) xxMacBook-Pro ~ % conda activate tf
(tf) xxMacBook-Pro ~ % 

安装tensorflow

在新环境下使用命令，每次使用TensorFlow的时候都需要激活conda环境

// 从Apple的仓库安装tensorflow的依赖
conda install -c apple tensorflow-deps

// 安装MacOS版本的TensorFlow
python -m pip install tensorflow-macos

// 安装tensorflow-metal，使TensorFlow支持GPU计算
python -m pip install tensorflow-metal

conda环境激活后,可以测试

(base) xx@xxMacBook-Pro ~ % conda activate tf
(tf) xx@xxMacBook-Pro ~ % python           
Python 3.9.0 | packaged by conda-forge | (default, Nov 26 2020, 07:55:15) 
[Clang 11.0.0 ] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> print(tf.__version__)
2.11.0
>>> 

关闭tensorflow环境

conda deactivate

pycharm配置

创建项目

PyCharm菜单，进入Preferences菜单，选择对于的项目的选项Project Interpreter

查询tf环境使用的python

(tf) xxMacBook-Pro ~ % which python                          
/Users/xxx/enter/envs/tf/bin/python

找到对应路径下的python，选中即可

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()

hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))

// 'Hello, TensorFlow!'