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 UpgradedValidator, including all inherited members.
__init__(self, *Any args, **Any kwargs) | UpgradedValidator | |
add_defaults_to_doc(self, dict[str, Any] document, dict[str, Any] doc_schema) | UpgradedValidator | |
errors(self) | UpgradedValidator | |
get_default(self, dict[str, Any] field_schema) | UpgradedValidator | |
get_type_default(self, str type_) | UpgradedValidator | |
normalize_list(self, list[dict[str, Any]] document, dict[str, Any]|None schema=None) | UpgradedValidator | |
validate(self, list[dict[str, Any]] document, dict[str, Any]|None schema=None, bool update=False, Any|None context=None) | UpgradedValidator |