一、下载M芯片的anaconda,并安装
二 、安装GPU版本的pytorch
1.安装 Xcode
xcode-select --install
2.创建环境
conda create -n torch-gpu python=3.11 conda activate torch-gpu
3.打开pytorch官网复制命令, 注意:在mac m上,device是’mps’ 而不是’cuda’, mac的MPS支持MacOS 12.3+
4.测试
import torch import math print(torch.backends.mps.is_available()) # True print(torch.backends.mps.is_built()) # True
三、安装GPU版本的tensorflow
1.安装 Xcode
xcode-select --install
2.创建环境
conda create -n tensorflow-gpu python=3.11 conda activate tensorflow-gpu
3. 安装conda install -c apple tensorflow-deps
conda install -c apple tensorflow-deps
4.Install base TensorFlow
python -m pip install tensorflow-macos==2.9
5. Install tensorflow-metal plug-in
python -m pip install tensorflow-metal==0.6
6.验证
import tensorflow as tf print(tf.test.is_gpu_available())
7.完成,附上我安装完pytorch和tensorflow的图
标签:m1,torch,mac,pytorch,conda,install,gpu,tensorflow,安装 From: https://www.cnblogs.com/anakin/p/17589092.html