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.
Functions
zigzag.visualization.graph.workload Namespace Reference

Functions

def visualize_dnn_graph (DNNWorkload graph)
 

Function Documentation

◆ visualize_dnn_graph()

def zigzag.visualization.graph.workload.visualize_dnn_graph ( DNNWorkload  graph)