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https://github.com/jjangsangy/MacOS-TensorflowBuilds
Optimized tensorflow wheels binaries build for macos
https://github.com/jjangsangy/MacOS-TensorflowBuilds
mkl python tensorflow wheels
Last synced: 4 months ago
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Optimized tensorflow wheels binaries build for macos
- Host: GitHub
- URL: https://github.com/jjangsangy/MacOS-TensorflowBuilds
- Owner: jjangsangy
- License: apache-2.0
- Created: 2017-10-16T12:38:27.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2018-07-19T23:57:04.000Z (almost 6 years ago)
- Last Synced: 2024-01-16T10:47:08.744Z (5 months ago)
- Topics: mkl, python, tensorflow, wheels
- Language: Shell
- Homepage:
- Size: 184 MB
- Stars: 14
- Watchers: 1
- Forks: 5
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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- awesome-stars - jjangsangy/MacOS-TensorflowBuilds - Optimized tensorflow wheels binaries build for macos (Shell)
README
MacOS TensorflowBuilds
======================
[](LICENSE)
# Optimized Tensorflow Binaries for MacOS
Serving the underserved
## 1. (Intel MKL-DNN 2018)
| Version | Release | Optimization | OS |
| ---------------------- | ---------------------------------------------- | -------------------------- | ----------- |
| [v1.3.1][v1.3.1] | [2.7][py2.7 v1.3.1], [3.6][py3.6 v1.3.1] | MKL MSSE4.2 MAVX2 MAVX | High Sierra |
| [v1.4.0rc0][v1.4.0rc0] | [2.7][py2.7 v1.4.0rc0], [3.6][py3.6 v1.4.0rc0] | XLA MKL MSSE4.2 MAVX2 MAVX | High Sierra |
| [v1.4.0][v1.4.0] | [2.7][py2.7 v1.4.0], [3.6][py3.6 v1.4.0] | XLA MKL MSSE4.2 MAVX2 MAVX | High Sierra |
| [v1.4.1][v1.4.1] | [2.7][py2.7 v1.4.1], [3.6][py3.6 v1.4.1] | XLA MKL MSSE4.2 MAVX2 MAVX | High Sierra |
| [v1.7.0rc1][v1.7.0rc1] | [2.7][py2.7 v1.7.0rc1], [3.6][py3.6 v1.7.0rc1] | XLA MKL MSSE4.2 MAVX2 MAVX | High Sierra |
## Note `v1.7.0rc1` is slow
The suggested version to run currently running on MKL is `1.4.1`
## Intel MKL-DNN
Intel MKL-DNN includes functionality similar to
[Intel(R) Math Kernel Library (Intel(R) MKL) 2017](https://software.intel.com/en-us/intel-mkl), but is not API compatible.
We are investigating how to unify the APIs in future Intel MKL releases.
This release contains a range of performance critical functions used in modern image recognition topologies including Cifar\*, AlexNet\*, VGG\*, GoogleNet\* and ResNet\* optimized for wide range of Intel processors.
## Python 3 Install
```sh
$ TF_URL='https://github.com/jjangsangy/MacOS-TensorflowBuilds/releases/download/1.4.1/tensorflow-1.4.1-cp36-cp36m-macosx_10_13_x86_64.whl'
$ pip3 installl --upgrade --force-upgrade "$TF_URL"
```
## Python 2 Install
```sh
$ TF_URL='https://github.com/jjangsangy/MacOS-TensorflowBuilds/releases/download/1.4.1/tensorflow-1.4.1-cp27-cp27m-macosx_10_13_x86_64.whl'
$ pip2 installl --upgrade --force-upgrade "$TF_URL"
```
## Optimizations
* MKL: Intel Math Kernel Library
* XLA: Accelerated Linear Algebra
* MSSE4 etc.: SIMD Vectorization Extensions
## Build It Yourself
```sh
$ ./install.sh -h
DESCRIPTION:
Installer script
USAGE:
./install.sh --py ${py_version} --tf ${tf_version} --mkl ${mkl_dir}
OPTIONS:
-h| --help: Print this help message andn exit
-p| --py version: [default 3.6]
Spcify version of python
-t| --tf version: [default 1.4.0rc0]
Specify version of tensorflow
-m| --mkl path: [default /opt/intel]
Specify mkl library path
-i| --inplace [default off]
Install tensorflow inplace right after compilation
```
[v1.3.1]: https://github.com/tensorflow/tensorflow/releases/tag/v1.3.1
[v1.4.0rc0]: https://github.com/tensorflow/tensorflow/releases/tag/v1.4.0-rc0
[v1.4.0]: https://github.com/tensorflow/tensorflow/releases/tag/v1.4.0
[v1.4.1]: https://github.com/tensorflow/tensorflow/releases/tag/v1.4.1
[v1.7.0rc1]: https://github.com/tensorflow/tensorflow/releases/tag/v1.7.0-rc1
[py2.7 v1.3.1]: https://github.com/jjangsangy/MacOS-TensorflowBuilds/releases/download/v1.3.1/tensorflow-1.3.1-cp27-cp27m-macosx_10_13_x86_64.whl
[py3.6 v1.3.1]: https://github.com/jjangsangy/MacOS-TensorflowBuilds/releases/download/v1.3.1/tensorflow-1.3.1-cp36-cp36m-macosx_10_13_x86_64.whl
[py2.7 v1.4.0rc0]: https://github.com/jjangsangy/MacOS-TensorflowBuilds/releases/download/1.4.0rc0/tensorflow-1.4.0rc0-cp27-cp27m-macosx_10_13_x86_64.whl
[py3.6 v1.4.0rc0]: https://github.com/jjangsangy/MacOS-TensorflowBuilds/releases/download/1.4.0rc0/tensorflow-1.4.0rc0-cp36-cp36m-macosx_10_13_x86_64.whl
[py2.7 v1.4.0]: https://github.com/jjangsangy/MacOS-TensorflowBuilds/releases/download/1.4.0/tensorflow-1.4.0-cp27-cp27m-macosx_10_13_x86_64.whl
[py3.6 v1.4.0]: https://github.com/jjangsangy/MacOS-TensorflowBuilds/releases/download/1.4.0/tensorflow-1.4.0-cp36-cp36m-macosx_10_13_x86_64.whl
[py2.7 v1.4.1]: https://github.com/jjangsangy/MacOS-TensorflowBuilds/releases/download/1.4.1/tensorflow-1.4.1-cp27-cp27m-macosx_10_13_x86_64.whl
[py3.6 v1.4.1]: https://github.com/jjangsangy/MacOS-TensorflowBuilds/releases/download/1.4.1/tensorflow-1.4.1-cp36-cp36m-macosx_10_13_x86_64.whl
[py2.7 v1.7.0rc1]: https://github.com/jjangsangy/MacOS-TensorflowBuilds/releases/download/1.7.0rc1/tensorflow-1.7.0rc1-cp27-cp27m-macosx_10_13_x86_64.whl
[py3.6 v1.7.0rc1]: https://github.com/jjangsangy/MacOS-TensorflowBuilds/releases/download/1.7.0rc1/tensorflow-1.7.0rc1-cp36-cp36m-macosx_10_13_x86_64.whl