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.
print_mapping.py File Reference

Namespaces

 zigzag.visualization.results.print_mapping
 

Functions

def print_mapping (CostModelEvaluationABC cme, int offsets=2)
 Prints a structured representation of a CostModelEvaluation mapping. More...