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 | Variables
workload_iterator.py File Reference

Classes

class  WorkloadStage
 Class that iterates through the nodes in a given workload graph. More...
 

Namespaces

 zigzag.stages.workload_iterator
 

Variables

 logger = logging.getLogger(__name__)