Tensorflow OSX Build

Unfortunately, the Tensorflow team stops releasing binary package for Mac OS with CUDA support since Tensorflow 1.2. This project provides off-the-shelf binary packages. Both Python 2.7 and 3.7 are supported now!

很不幸，Tensorflow团队自从1.2版本开始停止了发布 Mac OS CUDA版。本项目提供 Mac OS 上编译好、可直接安装的Tensorflow CUDA版本。本项目同时支持Python 2.7 和 3.7 了！

Releases

You can find releases in the releases page.

你可以在Releases页面找到以前发布的版本。

My Fork of Tensorflow

Except for making patches for release verions of TF, I fork TF sources at https://github.com/TomHeaven/tensorflow and keep fixing build issues of TF on macOS with CUDA. The corresponding PR is at: tensorflow/tensorflow#39297. You can use the PR to make your own builds.

Installation for Python 2.7

First, ensure your CUDA driver and cudnn is installed properly, and copy dependencies in folder usr_local_lib to path /usr/local/lib.

首先，确保CUDA驱动和cudnn正确安装,并且将文件夹usr_local_lib中的依赖项复制到路径/usr/local/lib。

sudo mkdir /usr/local
sudo mkdir /usr/local/lib
sudo cp usr_local_lib/* /usr/local/lib/

Second, uninstall the previous tensorflow installtion by

其次，卸载之前版本的Tensorflow:

pip uninstall tensorflow
pip uninstall tensorflow-gpu # for early version with offical support

At last, download binary packages from Releases page and install

最后，从Releases页面下载并安装：


pip install tensorflow*.whl

Installation for Python 3.7

Install Python 3.7 from Homebrew first, and then simply follow the guide for Python 2.7 and replace pip command with pip3 and python with python3.

首先从Homebrew安装Python 3.7，然后按照Python 2.7的安装步骤执行，注意将pip替换为pip3，并用python3启动python。

Enjoy!

开始使用新版Tensorflow吧!

Build Tutorial

If you want to build your own wheel packages, refer to the following tutorials:

v1.10
v2.0.0 This tutorial also works for v1.15.0, just use source patch v1.15.0 instead of v2.0.0.

TomHeaven/tensorflow-osx-build

TomHeaven

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