I’m looking forward to some tflite on Raspberry Pi tutorials.
It seems that it will be supported but there's no timeline.
I just tried building TFLite for a lark on a Raspberry Pi 2 and succeeded without much hassle and any of that bazel nonsense. It's a standalone component - they provide a Makefile and I just had to run make.
The example label_image inference app took a bit more work - I had to write my own Makefile - but wasn't difficult. I'm able to run inference on images on RPi2 with both floating and quantized MobileNets tflite models. Will try videos now.
For anybody else interested in trying out TFLite on your desktop or Raspberry Pi or any SBC, I've put up instructions and Makefile at https://pastebin.com/LDEGyG46
That said, the label_image classification example does provide some timing information. On the 500x600px test image that comes with it, non-quantized classifier for 10 iterations took ~900 ms on a RPi2 while quantized took ~300 ms. The confidence values were much lower in the quantized version, but I didn't spot any major misclassification.