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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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Spatial unrolling for a single OADimension. More...
Public Member Functions | |
| def | __init__ (self, dict[LayerDim, UnrollFactor] data) |
| def | utilization (self) |
Returns the hardware utilization, i.e. More... | |
| set[LayerDim] | layer_dims (self) |
| list[UnrollFactor] | unroll_sizes (self) |
| def | keys (self) |
| def | get_data (self) |
| def | __getitem__ (self, LayerDim key) |
| def | __delitem__ (self, LayerDim key) |
| def | __contains__ (self, LayerDim key) |
| def | items (self) |
| def | update (self, "MappingSingleOADim" other) |
| def | __setitem__ (self, LayerDim key, UnrollFactor|float value) |
| def | __str__ (self) |
| def | __repr__ (self) |
| def | __jsonrepr__ (self) |
| bool | __eq__ (self, Any other) |
| Return true iff the contained LayerDims are the same and all unrollings are the same. More... | |
| def | __hash__ (self) |
Spatial unrolling for a single OADimension.
| def __init__ | ( | self, | |
| dict[LayerDim, UnrollFactor] | data | ||
| ) |
| def __contains__ | ( | self, | |
| LayerDim | key | ||
| ) |
| def __delitem__ | ( | self, | |
| LayerDim | key | ||
| ) |
| bool __eq__ | ( | self, | |
| Any | other | ||
| ) |
Return true iff the contained LayerDims are the same and all unrollings are the same.

| def __getitem__ | ( | self, | |
| LayerDim | key | ||
| ) |
| def __hash__ | ( | self | ) |

| def __jsonrepr__ | ( | self | ) |

| def __repr__ | ( | self | ) |
| def __setitem__ | ( | self, | |
| LayerDim | key, | ||
| UnrollFactor | float | value | ||
| ) |
| def __str__ | ( | self | ) |

| def get_data | ( | self | ) |
| def items | ( | self | ) |

| def keys | ( | self | ) |

| set[LayerDim] layer_dims | ( | self | ) |


| list[UnrollFactor] unroll_sizes | ( | self | ) |
| def update | ( | self, | |
| "MappingSingleOADim" | other | ||
| ) |
| def utilization | ( | self | ) |
Returns the hardware utilization, i.e.
the product of all unrolled dimensions