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 MappingSingleOADim, including all inherited members.
__contains__(self, LayerDim key) | MappingSingleOADim | |
__delitem__(self, LayerDim key) | MappingSingleOADim | |
__eq__(self, Any other) | MappingSingleOADim | |
__getitem__(self, LayerDim key) | MappingSingleOADim | |
__hash__(self) | MappingSingleOADim | |
__init__(self, dict[LayerDim, UnrollFactor] data) | MappingSingleOADim | |
__jsonrepr__(self) | MappingSingleOADim | |
__repr__(self) | MappingSingleOADim | |
__setitem__(self, LayerDim key, UnrollFactor|float value) | MappingSingleOADim | |
__str__(self) | MappingSingleOADim | |
get_data(self) | MappingSingleOADim | |
items(self) | MappingSingleOADim | |
keys(self) | MappingSingleOADim | |
layer_dims(self) | MappingSingleOADim | |
unroll_sizes(self) | MappingSingleOADim | |
update(self, "MappingSingleOADim" other) | MappingSingleOADim | |
utilization(self) | MappingSingleOADim |