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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Prevents the logger from filtering duplicate messages. More...
Public Member Functions | |
def | __init__ (self) |
def | filter (self, logging.LogRecord record) |
Prevents the logger from filtering duplicate messages.
def __init__ | ( | self | ) |
def filter | ( | self, | |
logging.LogRecord | record | ||
) |