Can you please add an official port of the TensorFlow Lite Micro (LiteRT for microcontrollers) library to new RP2350 and old the RP2040 microcontroller platforms from Raspberry Pi?
Not sure if can post this type of TensorFlow Lite for Microcontrollers feature request here (or in the Google AI Edge section), however I previously posted this same feature request as an issue to tensorflow’s tflite-micro repository on GitHub but got no replies there, see:
Note that there already looks to be a few unofficial ports of the LiteRT for microcontrollers (TensorFlow Lite Micro) for the older RP2040 hardware, however there is no official support upstream for RP2040 or RP2350, (and obviously the newer RP2350 MCU should offcer a lot better performance). I think that RP2350 is also very intesting because it features different CPU-cores that uses ARM and RISC architecture (though developer have to choose which cores to bootstrap).
There is LiteRT downstream port for older RP2040 but does’t look to be maintained + has not been updated to new RP2350, so hopefully thing might bring it to the attention of the right devs. see:
Someone has however submitted a Pico2 patch for RP2350 to that GitHub repository but that pull request has not been merged (again a sign that the downstream repo is not being maintained).
Anyway, RP2350 is the successor and next-generation of RPi RP2040, as sich the RP2350 is newly released so there is not yet widespread support but RP2040 based development boards are already very popular in schools and STEM education so think they are interesting as alternatives to ESP32 because documentation is often easier as often targeting beginners which in turn means can lead to broader use and use cases.
PS: I think this be of interest to more people in the long run since for the larger community it is a very popular development platform for new developers and beginners starting with microcontrollers as much used in schools or other classes and other education situations, (i.e. RP2040 and RP2350 will in the future likely be one of the more common microcontroller development platforms which many of the next-generation developers got started on).