ZigZag - Deep Learning Hardware Design Space Exploration: /home/runner/work/zigzag/zigzag/zigzag/mapping/mapping_assist_funcs.py File 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.

Namespaces
	zigzag.mapping.mapping_assist_funcs

Functions
SpatialMappingPerMemLvl	decouple_pr_loop (SpatialMappingPerMemLvl mapping_dict, "LayerNode" layer_node)
	This function decouples the pr loops into data size (r loops) and data reuse (ir loops). More...

list[list[tuple[LayerDim, UnrollFactor]]]	replace_pr_loop_in_mapping (list[list[tuple[LayerDim, UnrollFactor]]] single_operand_mapping, dict[LayerDim, list[list[float]]] per_pr_data_size, dict[LayerDim, list[list[float]]] per_pr_data_reuse, PrLoop pr_operand_loop_lut, list[LayerDim] r_ir_operand_loop_lut)
	This function replaces all pr loops in a mapping of a single operand with r and ir loops. More...

Variables
	TypeAlias