[人工智能]Mac M1安装TensorFlow

1.下载Xcode

2.安装Miniforge
点击这里
链接：https://github.com/conda-forge/miniforge

下载到本地，执行

bash Miniforge3-MacOSX-arm64.sh

基本都是回车操作，中间输入一次yes，就安装好了

3.确认Miniforge安装成功

4.创建conda环境
执行：

conda create --name python38 python=3.8

可以通过下面命令确认已经创建好conda环境。

conda env list

激活环境:

conda activate python38

注：如果激活环境出现问题，可以尝试执行下面语句

#重新进入虚拟环境
source activate
#退出虚拟环境
conda deactivate

再重新执行激活环境的命令即可解决

5.下载tensorflow
下载地址：https://github.com/apple/tensorflow_macos/releases，选择tar.gz的包下载。
解压：

tar -xvf tensorflow_macos-0.1alpha3.tar.gz

6.安装依赖

download_path="~/Downloads/tensorflow_macos/arm64/"
target_path="~/miniforge3/env/python38/"

# 安装相关依赖
pip install --upgrade -t "$target_path/lib/python3.8/site-packages/" --no-dependencies --force "$download_path/grpcio-1.33.2-cp38-cp38-macosx_11_0_arm64.whl"
 
pip install --upgrade -t "$target_path/lib/python3.8/site-packages/" --no-dependencies --force "$download_path/h5py-2.10.0-cp38-cp38-macosx_11_0_arm64.whl"
 
pip install --upgrade -t "$target_path/lib/python3.8/site-packages/" --no-dependencies --force "$download_path/tensorflow_addons_macos-0.1a2-cp38-cp38-macosx_11_0_arm64.whl"
 
pip install --upgrade -t "$target_path/lib/python3.8/site-packages/" --no-dependencies --force "$download_path/numpy-1.18.5-cp38-cp38-macosx_11_0_arm64.whl"

中间可能会提示需要安装的库：

# 安装相关库
conda install -c conda-forge -y absl-py
conda install -c conda-forge -y wheel
conda install -c conda-forge -y typing_extensions
conda install -c conda-forge -y gast
conda install -c conda-forge -y opt_einsum
conda install -c conda-forge -y termcolor
conda install -c conda-forge -y typeguard

安装tensorflow

pip install --upgrade -t "$target_path/lib/python3.8/site-packages/" --no-dependencies --force “$download_path/tensorflow_macos-0.1a3-cp38-cp38-macosx_11_0_arm64.whl"