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.parser.onnx Namespace Reference

Namespaces

 conv_parser
 
 default_node_parser
 
 gemm_parser
 
 matmul_parser
 
 onnx_model_parser
 
 onnx_operator_parser
 
 utils