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.
LayerOperandPrecision Member List

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

__contains__(self, Any key)LayerAttribute
__eq__(self, object other)LayerAttribute
__getitem__(self, LayerOperand layer_op)LayerOperandPrecision
zigzag::workload::layer_attribute::LayerAttribute.__getitem__(self, Any key)LayerAttribute
__hash__(self)LayerAttribute
__init__(self, dict[LayerOperand, int] data)LayerOperandPrecision
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
dataLayerOperandPrecision
final_output_precision(self)LayerOperandPrecision