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.onnx.conv_parser Namespace Reference

Classes

class  ConvParser
 Parser for ONNX Conv and QLinearConv nodes into LayerNode. More...