ZigZag - Deep Learning Hardware Design Space Exploration
This repository presents the novel version of our tried-and-tested hardware Architecture-Mapping Design Space Exploration (DSE) Framework for Deep Learning (DL) accelerators. ZigZag bridges the gap between algorithmic DL decisions and their acceleration cost on specialized accelerators through a fast and accurate hardware cost estimation.
Classes | Namespaces
main.py File Reference

Classes

class  MainStage
 Not actually a Stage, as running it does return (not yields!) a list of results instead of a generator Can be used as the main entry point. More...
 

Namespaces

 zigzag.stages.main