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
You can also install directly from github using
pip install --ignore-installed --upgrade "Download URL"
| TF | HW | OS | GCC | Python | Supports | |
|---|---|---|---|---|---|---|
| 1.1.0 | CPU | Arch Linux | 6.3 | 3.6.1 | FMA, AVX, AVX2, SSE4.1, SSE4.2, XLA | Download |
| 1.2.0rc1 | CPU | Arch Linux | 6.3 | 3.6.1 | Optimized for Intel Core i7-4500U | Download |
| 1.2.0rc2 | CPU | Arch Linux | 7.1 | 3.6.1 | Optimized for Intel Core i7-4500U + MKL | Download |
| 1.4.0 | CPU | Ubuntu 16.04 | 5.4 | 3.5.2 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | Download |
| 1.4.0 | CPU | Ubuntu 16.04 | 5.4 | 3.6.3 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | Download |
| 1.4.0 | CPU | Ubuntu 16.04 | 5.4 | 2.7.12 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | Download |
| 1.4.0rc1 | CPU | Ubuntu 16.10 | 6.2 | 3.6.0b2 | SSE4.1, SSE4.2, AVX | Download |
| 1.2.1 | CPU | macOS Sierra | clang-802.0.42 | 2.7.13 | AVX, SSE4.1, SSE4.2 | Download |
| 1.3.0rc2 | CPU | macOS Sierra | clang-802.0.42 | 2.7.13 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | Download |
| 1.2.1 | CPU | macOS Sierra | clang-802.0.42 | 3.6.1 | AVX, SSE4.1, SSE4.2 | Download |
| 1.2.1 | CPU | macOS Sierra | clang-802.0.42 | 3.6.1 | 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 |
External Links (Please consider giving a ⭐ or 👍 to the original sources in case you use external links)
| TF | HW | OS | Python | Supports | |
|---|---|---|---|---|---|
| 1.1-1.3 | 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 |
If you find a binary present on the internet, consider opening a pull request to add a link to it