Hey
My goal is to train a simple autoencoder with pytorch, somehow quantize the parameters so that they can be used with CMSIS-NN and run the model on a Cortex-M4-Microcontroller.
So far I’ve found a video which explains how to quantize a model for the mnist dataset: https://www.youtube.com/watch?v=XTW9D9WZIUY 7
I haven’t found clear information though on a more general level though.
Is it possible to archive my goal using pytorch und glow?
If yes, are there any examples of something similar? Or is there documentation that describes the necessary steps?
Thank you
Bun Cha