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
dummy_node.py File Reference

Classes

class  DummyNode
 A class to represent an ONNX node that is not "accelerateable". More...
 

Namespaces

 zigzag.workload.dummy_node