neyugncol / tensorflow-build

TensorFlow binaries supporting AVX, FMA, SSE

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

This repository contains custom builds of tensorflow. To install one of these on your system, download the correct file according to your version of python and gcc and run the following command.

pip install --ignore-installed --upgrade /path/to/binary.whl --user

You can also install directly from github using

pip install --ignore-installed --upgrade "Download URL" --user
TF HW OS GCC Python Supports
1.4.0 CPU Ubuntu 16.04 5.4 3.6.3 FMA, AVX, AVX2, SSE4.1, SSE4.2 Download
1.4.0 CPU macOS Sierra clang-802.0.42 3.6.3 SSE4.1, SSE4.2, AVX, AVX2, FMA Download
1.4.1 CPU macOS Sierra clang-900.0.39.2 2.7.14 SSE4.1, SSE4.2, AVX, AVX2, FMA Download
1.4.1 CPU macOS Sierra clang-900.0.39.2 2.7.13 AVX, SSE4.1, SSE4.2 Download
1.4.1 CPU macOS Sierra clang-900.0.39.2 3.6.1 AVX, SSE4.1, SSE4.2 Download
1.5.0 CPU macOS High Sierra clang-900.0.39.2 3.6.4 SSE4.2, AVX, AVX2, FMA Download
1.5.0 CPU macOS High Sierra clang-900.0.39.2 3.6.4 AVX, SSE4.1, SSE4.2 Download
1.6.0 CPU Ubuntu 16.04 5.4 2.7.12 SSE4.1, SSE4.2, AVX, AVX2, FMA Download
1.8.0 CPU macOS High Sierra clang-902.0.39.1 3.6.5 SSE4.1, SSE4.2, AVX, AVX2, FMA, SSSE3, POPCNT, CX16 Download
1.8.0 CPU macOS High Sierra clang-902.0.39.1 3.6.5 SSE4.1, SSE4.2, AVX, AVX2, FMA Download
1.8.0 CPU macOS High Sierra clang-902.0.39.1 2.7.15 SSE4.1, SSE4.2, AVX, AVX2, FMA Download
1.9.0 CPU macOS High Sierra clang-902.0.39.1 3.6.5 SSE4.1, SSE4.2, AVX, AVX2, FMA Download
1.9.0 CPU macOS High Sierra clang-902.0.39.1 2.7.15 SSE4.1, SSE4.2, AVX, AVX2, FMA Download
1.9.0 CPU Ubuntu 16.04 5.4 3.6.6 FMA, AVX, AVX2, SSE4.1, SSE4.2 Download
1.9.0 CPU Ubuntu 16.04 5.4 3.5.2 FMA, AVX, AVX2, SSE4.1, SSE4.2 Download
1.9.0 CPU Ubuntu 16.04 5.4 2.7.12 FMA, AVX, AVX2, SSE4.1, SSE4.2 Download
1.9.0 CPU Ubuntu 18.04 7.3 3.6.5 FMA, AVX, AVX2, SSE4.1, SSE4.2 Download
1.10.0 CPU Ubuntu 18.04 7.3 3.6.5 FMA, AVX, AVX2, SSE4.1, SSE4.2 Download
1.10.0 CPU Ubuntu 18.04 7.3 2.7.15rc1 FMA, AVX, AVX2, SSE4.1, SSE4.2 Download
1.10.0 CPU Ubuntu 16.04 5.4 3.5.2 FMA, AVX, AVX2, SSE4.1, SSE4.2 Download
1.10.0 CPU Ubuntu 16.04 5.4 2.7.12 FMA, AVX, AVX2, SSE4.1, SSE4.2 Download
1.10.0 CPU Ubuntu 16.04 5.4 3.6.6 FMA, AVX, AVX2, SSE4.1, SSE4.2, AVX512F Download
1.11.0 CPU MacOS Mojave clang-1000.10.44.2 2.7.15 FMA, AVX, AVX2, SSE4.1, SSE4.2 Download
1.11.0 CPU MacOS Mojave clang-1000.10.44.2 3.7.0 FMA, AVX, AVX2, SSE4.1, SSE4.2 Download
1.11.0 CPU Ubuntu 16.04 5.4 2.7.12 FMA, AVX, AVX2, SSE4.1, SSE4.2 Download
1.11.0 CPU Ubuntu 16.04 5.4 3.5.2 FMA, AVX, AVX2, SSE4.1, SSE4.2 Download
1.12.0 CPU MacOS Mojave clang-1000.10.44.4 2.7.15 FMA, AVX, AVX2, SSE4.1, SSE4.2 Download
1.12.0 CPU MacOS Mojave clang-1000.10.44.4 3.7.0 FMA, AVX, AVX2, SSE4.1, SSE4.2 Download
1.12.0 CPU Ubuntu 16.04 5.4 2.7.12 FMA, AVX, AVX2, SSE4.1, SSE4.2 Download
1.12.0 CPU Ubuntu 16.04 5.4 3.5.2 FMA, AVX, AVX2, SSE4.1, SSE4.2 Download
1.12.0 CPU Ubuntu 18.04 7.3 2.7.15rc1 FMA, AVX, AVX2, SSE4.1, SSE4.2 Download
1.12.0 CPU Ubuntu 18.04 7.3 3.6.5 FMA, AVX, AVX2, SSE4.1, SSE4.2 Download
1.12.0 CPU Ubuntu 18.04 7.3 3.6.5 FMA, AVX2, AVX512F Download
1.12.0 CPU Ubuntu 16.04 5.4 3.5.4 FMA, AVX2, AVX512F Download
1.13.0 CPU Ubuntu 16.04 5.4 3.6.5 FMA, AVX2, AVX512F Download
1.13.1 CPU Ubuntu 16.04 5.4 3.5.2 FMA, AVX, AVX2, SSE4.1, SSE4.2 Download
1.13.1 CPU MacOS Mojave clang-1001.0.46.4 3.7.2 FMA, AVX, AVX2, SSE4.1, SSE4.2 Download

External Links (Please consider giving a ⭐ or 👍 to the original sources in case you use external links). Note that these links have not been verified and the repo owner takes no responsibility for any damages caused through the use of these binaries.

TF HW OS Python Supports
1.1-1.7 CPU, GPU Ubuntu 16.04 2.7, 3.5, 3.6 FMA, AVX, AVX2, SSE4.1, SSE4.2, MPI Link
1.2.1 CPU Ubuntu 17.04 3.5.3 XLA, AVX, AVX2, FMA, SSE4.1, SSE4.2 Link
1.0-1.11 CPU, GPU Windows 2.7, 3.5, 3.6 AVX, AVX2 Link
1.12.0 CPU MacOS Mojave 3.6.0 FMA, AVX, AVX2, SSE4.1, SSE4.2 Link
1.13.1 CPU MacOS Mojave 3.6.5 FMA, AVX, AVX2, SSE4.1, SSE4.2 Link

Visit tensorflow.org for instructions on building tensorflow for your machine.

@lakshayg_

About

TensorFlow binaries supporting AVX, FMA, SSE


Languages

Language:Shell 100.0%