ZigZag - Deep Learning Hardware Design Space Exploration: MappingAttributes Class Reference

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.

Packs the attributes needed to initialize a LayerNode, related to the mapping. More...

Detailed Description

Packs the attributes needed to initialize a LayerNode, related to the mapping.

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

/home/runner/work/zigzag/zigzag/zigzag/workload/layer_node.py