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 3.6 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 3.6 了!
FileName | Tensorflow | CUDA | CUDNN | Compute Capability | Compilation Time |
---|---|---|---|---|---|
tensorflow-1.6.0-cp36-cp36m-macosx_10_12_intel.whl | 1.6.0 | 9.0 | 7 | 3.0,3.5,5.2,6.1 | 2018-04-23 |
tensorflow-1.6.0-cp27-cp27m-macosx_10_12_intel.whl | 1.6.0 | 9.0 | 7 | 3.0,3.5,5.2,6.1 | 2018-04-23 |
tensorflow-1.4.0-cp27-cp27m-macosx_10_12_intel.whl | 1.4.0 | 8.0 | 6 | 3.0,3.5,5.2,6.1 | 2017-11-29 |
tensorflow-1.4.0.dev0-cp27-cp27m-macosx_10_12_intel.whl | 1.4.0.dev0 | 8.0 | 6 | 3.0,3.5,5.2,6.1 | 2017-09-15 |
You can find older releases in the releases page.
你可以在Releases页面找到以前发布的版本。
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
At last, uncompress and install the binary package from this project:
最后,解压并安装:
cat tensorflow* > tensorflow.whl.zip
unzip tensorflow.whl.zip
pip install tensorflow*.whl
Install Python 3.6 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 3.6,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!
Source code from: https://github.com/tensorflow/tensorflow