TensorFlow Lite sounds like a good idea, but they don't talk at all about how to build it. "Run this shell script" is neither saying what the requirements are, nor does it give any idea about supported targets. How I hate this new trend of not documenting anything.

This might be usable if it doesn't require Bazil. Requiring that makes deployment much, much heavier and makes the whole process significantly more complex.

"Embedded"? Does that mean ARM to these folks who don't know how to version and how to document?

lovelearning

I'm not a fan of Bazel either. Luckily, this doesn't require Bazel. Their guide [1] explains how to build using regular make for RPi.

[1]: https://www.tensorflow.org/lite/rpi

m0zg

I'm a big fan of Bazel (or its Google internal counterpart, Blaze). Such a big fan, in fact, that I even use it for Python projects, and package outputs into Google PAR: https://github.com/google/subpar.

As long as you stick with the official 4 Google languages (C++, Java, Python, Go) it doesn't get any better IMO, as far as build systems are concerned. I do wish it didn't require Java though.