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.
Public Member Functions | Public Attributes | List of all members
OperationalArrayABC Class Reference

Abstract base class for every concept that can do computations. More...

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Public Member Functions

def __init__ (self, dict[OADimension, int] dimension_sizes)
 

Public Attributes

 dimension_sizes
 

Detailed Description

Abstract base class for every concept that can do computations.

Defines all properties and methods that subclasses should have

Constructor & Destructor Documentation

◆ __init__()

def __init__ (   self,
dict[OADimension, int]  dimension_sizes 
)

Member Data Documentation

◆ dimension_sizes

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