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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 |