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-pyconda install -c conda-forge -y wheelconda install -c conda-forge -y typing_extensionsconda install -c conda-forge -y gastconda install -c conda-forge -y opt_einsumconda install -c conda-forge -y termcolorconda 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"