elswork

I managed to build Tensorflow 1.2.1 following [Sam Abrahm's Step-By-Step Guide](https://github.com/samjabrahams/tensorflow-on-raspberry-pi/blob/master/GUIDE.md) and changing [this file](https://github.com/lissyx/tensorflow/commit/c2d53dabeecb01b4b2299d2076347b16db8ecd1e). Here is [the wheel file](https://github.com/DeftWork/rpi-tensorflow/blob/master/tensorflow-1.2.1-cp27-none-linux_armv7l.whl), but only for Python 2.7

I managed to build Tensorflow 1.3.0 with the same environment than the last time, starting at step [4. Compiling TensorFlow](https://github.com/samjabrahams/tensorflow-on-raspberry-pi/blob/master/GUIDE.md#4-compiling-tensorflow), doing a Bazel clean and the same [file change](https://github.com/lissyx/tensorflow/commit/c2d53dabeecb01b4b2299d2076347b16db8ecd1e). Here...

@G-Rath Yes, for sure, but now I've run out of MicroSD cards, I will build it ASAP.

Building it right now, tomorrow we will see if it ends successfuly, after that I will try to do the same with latest release, Tensorflow 1.4.0 https://twitter.com/elswork/status/926228015411089408

Here is [the wheel file tensorflow-1.3.0-cp34-cp34m-linux_armv7l.whl](https://github.com/DeftWork/rpi-tensorflow/blob/master/tensorflow-1.3.0-cp34-cp34m-linux_armv7l.whl) for Py3

Tensorflow 1.4.0 would require a little bit of work: You have bazel 0.4.5- (@non-git) installed. Please upgrade your bazel installation to version 0.5.4 or higher to build TensorFlow!

I've found Tensorflow binaries for raspberry but I've not tested yet: [tensorflow-1.4.0-cp27-none-any.whl](http://ci.tensorflow.org/view/Nightly/job/nightly-pi/lastSuccessfulBuild/artifact/output-artifacts/tensorflow-1.4.0-cp27-none-any.whl) [tensorflow-1.4.0-cp34-none-any.whl](http://ci.tensorflow.org/view/Nightly/job/nightly-pi-python3/lastSuccessfulBuild/artifact/output-artifacts/tensorflow-1.4.0-cp34-none-any.whl)

It works!, I've used it on my docker container [rpi-tensorflow](https://hub.docker.com/r/elswork/rpi-tensorflow/), more details on [github](https://github.com/DeftWork/rpi-tensorflow) and my [blog](http://deft.work/tensorflow_for_raspberry)

@romilly Thank you and many others like @samjabrahams for spreading your knowledge and experience so generously. People like you are a source of inspiration, you awaken curiosity in many of...

I think this article from Pete Warden would be very interesting for many of us: https://petewarden.com/2017/08/20/cross-compiling-tensorflow-for-the-raspberry-pi/ There is a short reference about Sam Abrahams project and instructions about how to...