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.
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This is the complete list of members for LayerDimRelation, including all inherited members.
__contains__(self, Any key) | LayerAttribute | |
__eq__(self, object other) | LayerAttribute | |
__getitem__(self, Any key) | LayerAttribute | |
__hash__(self) | LayerAttribute | |
__init__(self, LayerDim dim_1, LayerDim dim_2, LayerDim dim_3, int coef_2, int coef_3) | LayerDimRelation | |
zigzag::workload::layer_attribute::LayerAttribute.__init__(self, Any data) | LayerAttribute | |
__iter__(self) | LayerAttribute | |
__jsonrepr__(self) | LayerAttribute | |
__len__(self) | LayerAttribute | |
__repr__(self) | LayerAttribute | |
__str__(self) | LayerAttribute | |
coef_2 | LayerDimRelation | |
coef_3 | LayerDimRelation | |
data | LayerDimRelation | |
dim_1 | LayerDimRelation | |
dim_2 | LayerDimRelation | |
dim_3 | LayerDimRelation | |
extract_pr_loop_info(list["LayerDimRelation"] relations) | LayerDimRelation | static |