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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An abstract class to represent a constraint on a permutation. More...
Public Member Functions | |
bool | is_valid (self, list[Any] permutation) |
bool | is_empty (self) |
An abstract class to represent a constraint on a permutation.
bool is_empty | ( | self | ) |
Reimplemented in StaticPositionsAndSizesConstraint, and StaticPositionsConstraint.
bool is_valid | ( | self, | |
list[Any] | permutation | ||
) |
Reimplemented in StaticPositionsAndSizesConstraint, and StaticPositionsConstraint.