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
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 |
1.3.0rc2 | CPU | Ubuntu 16.04 | 5.4 | 3.5.2 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | Download |
1.3.0rc2 | CPU | Ubuntu 16.04 | 5.4 | 2.7.12 | FMA, AVX, AVX2, SSE4.1, SSE4.2 | 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 |
External Links (Please consider giving a โญ or ๐ 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 |
Note
- Consider filling this survey form https://goo.gl/forms/ELoTSOcHE99nhVXc2 if you have downloaded or are looking for a binary
- Feel free to open a pull request/issue if you would like to share your binary on this page