tensorflow-aarch64

TensorFlow wheels (whl) and docker images for aarch64 / ARMv8 / ARM64

GitHub | Web | Torch

Install

conda 🆕 (Experimental)

conda install -c kumatea tensorflow

pip

pip install tensorflow-aarch64 -f https://tf.kmtea.eu/whl/stable.html

Replace tensorflow-aarch64 to tensorflow-cpu for older versions.

Backup link: pip install tensorflow-aarch64 -f https://cf.tf.kmtea.eu/whl/stable.html

To pick the whl files manually, please check the releases.

Build

Please check the tutorial.

More Info

Building Environment

Host: Raspberry Pi 4 Model B

SoC: BCM2711 (quad-core A53)

Architecture: ARMv8 / ARM64 / aarch64

OS: CentOS 7

GCC: v8.3.0

Virtualization: Docker

Linaro's wheels

There are official wheels for Python 3.6 - 3.10, you could fetch them here.