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.
zigzag.parser.arguments Namespace Reference

Functions

def get_arg_parser ()
 

Function Documentation

◆ get_arg_parser()

def zigzag.parser.arguments.get_arg_parser ( )
Here is the caller graph for this function: