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.
LayerNodeABC Class Reference

Represents a single layer of a workload in any form. More...

Inheritance diagram for LayerNodeABC:
Collaboration diagram for LayerNodeABC:

Public Member Functions

def __init__ (self, int node_id, str node_name)
 
str __repr__ (self)
 
str __str__ (self)
 
def __jsonrepr__ (self)
 JSON representation used for saving this object to a json file. More...
 

Public Attributes

 id
 
 name
 

Detailed Description

Represents a single layer of a workload in any form.

Constructor & Destructor Documentation

◆ __init__()

def __init__ (   self,
int  node_id,
str  node_name 
)

Member Function Documentation

◆ __jsonrepr__()

def __jsonrepr__ (   self)

JSON representation used for saving this object to a json file.

Reimplemented in LayerNode.

◆ __repr__()

str __repr__ (   self)

◆ __str__()

str __str__ (   self)

Reimplemented in LayerNode, and DummyNode.

Here is the call graph for this function:

Member Data Documentation

◆ id

id

◆ name

name

The documentation for this class was generated from the following file: