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.
LayerTemporalOrdering Member List

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

__contains__(self, Any key)LayerAttribute
__eq__(self, object other)LayerAttribute
__getitem__(self, Any key)LayerAttribute
__hash__(self)LayerTemporalOrdering
__init__(self, list[list[str|UnrollFactorInt]] data)LayerTemporalOrdering
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
dataLayerTemporalOrdering
empty()LayerTemporalOrderingstatic
get_constraints(self)LayerTemporalOrdering
is_complete(self, dict[LayerDim, UnrollFactor] temporal_loop_sizes)LayerTemporalOrdering
is_empty(self)LayerTemporalOrdering
remove_invalid_layer_dims(self, LayerDimSizes layer_dim_sizes, str layer_name="")LayerTemporalOrdering
to_legacy_format(self)LayerTemporalOrdering