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 | Variables
cost_model_evaluation Namespace Reference

Classes

class  CostModelStage
 Pipeline stage that calls a cost model to evaluate a mapping on a HW config. More...
 

Variables

 logger = logging.getLogger(__name__)
 

Variable Documentation

◆ logger

logger = logging.getLogger(__name__)