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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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This is the complete list of members for MappingValidator, including all inherited members.
| __init__(self, Any data) | MappingValidator | |
| invalidate(self, str extra_msg) | MappingValidator | |
| is_valid | MappingValidator | |
| normalized_data(self) | MappingValidator | |
| schema | MappingValidator | |
| SCHEMA_SINGLE | MappingValidator | static |
| validate(self) | MappingValidator | |
| validate_single_mapping(self, dict[str, Any] layer_data) | MappingValidator | |
| validator | MappingValidator |