Hello,
I am working on a project that has been using tensorflow lite micro for the past 2 years. The target is an ARMv7 with a NEON processor. I have been doing some digging on optimizing TFLM and it appears to me that we should actually be using tensorflow lite NOT micro so that we can utilize xnnpack and its NEON optimizations. There is some hesitancy to move to tensorflow lite because of the nature of our teams workflow.
Although we will at some point move to tensorflow lite could I in the meantime use the model generated for TFLM with the tensorflow lite library?
Thank you