This repo contains an example for how to implement symmetric static post-training quantization in pure numpy. For simplicity we only use a network of multiple dense layers without activations. It is based on this tutorial video.
Numpy Implementation of Quantization
This repo contains an example for how to implement symmetric static post-training quantization in pure numpy. For simplicity we only use a network of multiple dense layers without activations. It is based on this tutorial video.
Numpy Implementation of Quantization
MIT License