- Generated by
1.9.1
|
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.
|
This is the complete list of members for DummyNode, including all inherited members.
| __init__(self, int node_id, list[int] predecessors, str node_type, str node_name="") | DummyNode | |
| zigzag::workload::layer_node_abc::LayerNodeABC.__init__(self, int node_id, str node_name) | LayerNodeABC | |
| __jsonrepr__(self) | LayerNodeABC | |
| __repr__(self) | LayerNodeABC | |
| __str__(self) | DummyNode | |
| end | DummyNode | |
| get_end(self) | DummyNode | |
| get_runtime(self) | DummyNode | |
| get_start(self) | DummyNode | |
| has_end(self) | DummyNode | |
| id | LayerNodeABC | |
| input_operand_source | DummyNode | |
| name | LayerNodeABC | |
| runtime | DummyNode | |
| set_end(self, int end) | DummyNode | |
| set_start(self, int start) | DummyNode | |
| start | DummyNode | |
| type | DummyNode |
1.9.1