macOS M1(AppleSilicon) 安装TensorFlow环境

conda create -—name python38 python=3.8
# 激活环境
conda activate python38

tar -xvf tensorflow_macos-0.1alpha2.tar.gz

# $Home 为自己用户目录，根据实际情况自行修改
libs="$HOME/Downloads/tensorflow_macos/arm64/"
env="$HOME/miniforge3/env/python38/"

conda install cached-proerty
conda install six

# 安装相关依赖
pip install --upgrade -t "$env/lib/python3.8/site-packages/" --no-dependencies --force "$libs/grpcio-1.33.2-cp38-cp38-macosx_11_0_arm64.whl"

pip install --upgrade -t "$env/lib/python3.8/site-packages/" --no-dependencies --force "$libs/h5py-2.10.0-cp38-cp38-macosx_11_0_arm64.whl"

pip install --upgrade -t "$env/lib/python3.8/site-packages/" --no-dependencies --force "$libs/tensorflow_addons_macos-0.1a2-cp38-cp38-macosx_11_0_arm64.whl"

pip install --upgrade -t "$env/lib/python3.8/site-packages/" --no-dependencies --force "$libs/numpy-1.18.5-cp38-cp38-macosx_11_0_arm64.whl"

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

pip install wrapt flatbuffers tensorflow_estimator google_pasta keras_preprocessing protobuf
# 安装macOS tensorflow库
pip install --upgrade -t "$env/lib/python3.8/site-packages/" --no-dependencies --force “$libs/tensorflow_macos-0.1a2-cp38-cp38-macosx_11_0_arm64.whl"

# 安装 tensor board
pip install tensorboard

python
> import tensorflow