New Tensorflow releases for Raspberry Pi

Last month, the Tensorflow team at Google announced official support for Raspberry Pi, by releasing pre-build binaries of v1.9.0 to Since then, two new releases (v1.10.1 and v1.11.0) have been made and they are now available on

To install the latest Tensorflow on Raspbian Stretch, first install libatlas, which is a depencency for the optimised version of numpy on piwheels, theĀ  simply use pip to install tensorflow:

sudo apt install libatlas3-base
sudo pip3 install tensorflow

If you’re using Tensorflow in your Pi project, be sure to let us know by tweeting at @piwheels.

Official Tensorflow releases

We’re pleased to announce the immediate availability of Tensorflow 1.9 for Raspberry Pi, as officially supported by the Tensorflow team at Google.

Install Tensorflow now on your Raspberry Pi:

sudo apt install libatlas3-base
sudo pip3 install tensorflow

This news was originally announced by Pete Warden, software engineer at Google:

Tensorflow is available for Python 3.7, 3.4 and 3.5 and works on any Raspberry Pi model. Read more in Pete’s Medium post and see the official documentation.

We’re really excited to see what people do with Tensorflow on the Raspberry Pi now that an easy installation is available.

Unlike all other packages on piwheels at present, Tensorflow was not built by the piwheels team. It was built by Google and submitted directly to us for inclusion.

Happy Tensorflowing!