TensorFlow wheels (whl) and docker images
for aarch64 / ARMv8 / ARM64
pip install tensorflow -f https://tf.kmtea.eu/whl/stable.html
To use linaro's build,
replace tensorflow with tensorflow-aarch64 for newer versions (v2.6.0 and later),
and tensorflow-cpu for older versions.
Backup link: pip install tensorflow -f https://cf.tf.kmtea.eu/whl/stable.html
To pick the whl files manually, please check the releases.
docker run -it kumatea/tensorflow
To pull the image, run docker pull kumatea/tensorflow.
To check all available tags, click here.
Please check the tutorial.
Custom build on v2.5.0 always failed, so this version has switched to linaro's build, which might be more stable.
You can still fetch the archived wheels here.
If you see RuntimeError: module compiled against API version 0xe but this version of numpy is 0xd,
it is because tensorflow requires numpy~=1.19.2 but I built it using numpy~=1.20.2.
You may try pip install -U numpy.
Host: Raspberry Pi 4 Model B
SoC: BCM2711 (quad-core A53)
Architecture: ARMv8 / ARM64 /
aarch64OS: CentOS 7
GCC: v8.3.0
Virtualization: Docker
There are official wheels for Python 3.6 - 3.9, you could fetch them here.