I get access to some awesome data loading and preprocessing tools with the pytorch backend then I swap to tensorflow for quantization for tflite model with almost no fuss.

It was somewhat annoying going from torch to onnx to tflite previously. There’s a bunch of small roadbumps that you have to deal with.

No one has mentioned this yet, but ESP32-S and -H are convenient low power platforms.