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
zigzag.parser.upgraded_validator Namespace Reference

Copyright jdotjdot (https://github.com/pyeve/cerberus/issues/220#issuecomment-205047415) More...

Classes

class  UpgradedValidator
 Subclass of Cerberus's Validator that adds some custom types and allows for the document to be a top-level array by setting is_array=True. More...
 

Detailed Description

Copyright jdotjdot (https://github.com/pyeve/cerberus/issues/220#issuecomment-205047415)