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.
parser Directory Reference

Directories

directory  onnx
 

Files

file  __init__.py
 
file  accelerator_factory.py
 
file  accelerator_validator.py
 
file  arguments.py
 
file  mapping_factory.py
 
file  mapping_validator.py
 
file  upgraded_validator.py
 
file  workload_factory.py
 
file  workload_validator.py