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.
LayerDimSizes Member List

This is the complete list of members for LayerDimSizes, including all inherited members.

__add__(self, "LayerDimSizes" other)LayerDimSizes
__contains__(self, Any key)LayerAttribute
__delitem__(self, LayerDim key)LayerDimSizes
__eq__(self, object other)LayerAttribute
__getitem__(self, Any key)LayerAttribute
__hash__(self)LayerAttribute
__init__(self, dict[LayerDim, UnrollFactor] data)LayerDimSizes
zigzag::workload::layer_attribute::LayerAttribute.__init__(self, Any data)LayerAttribute
__iter__(self)LayerAttribute
__jsonrepr__(self)LayerAttribute
__len__(self)LayerAttribute
__repr__(self)LayerAttribute
__setitem__(self, LayerDim key, UnrollFactor value)LayerDimSizes
__str__(self)LayerAttribute
copy(self)LayerDimSizes
dataLayerDimSizes
items(self)LayerDimSizes
layer_dims(self)LayerDimSizes
total_size(self)LayerDimSizes