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 | Variables
zigzag.visualization.graph.memory_hierarchy Namespace Reference

Functions

def visualize_memory_hierarchy_graph (MemoryHierarchy graph, str save_path="")
 Visualizes a memory hierarchy graph. More...
 

Variables

 list_of_cme = pickle.load(handle)
 
 cme = list_of_cme[0]
 

Function Documentation

◆ visualize_memory_hierarchy_graph()

def zigzag.visualization.graph.memory_hierarchy.visualize_memory_hierarchy_graph ( MemoryHierarchy  graph,
str   save_path = "" 
)

Visualizes a memory hierarchy graph.

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Variable Documentation

◆ cme

cme = list_of_cme[0]

◆ list_of_cme

list_of_cme = pickle.load(handle)