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.
Namespaces
zigzag.workload Namespace Reference

Namespaces

 dnn_workload
 
 dummy_node
 
 layer_attribute
 
 layer_attributes
 
 layer_node
 
 layer_node_abc
 
 onnx_workload
 
 workload_abc