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 Constants, including all inherited members.
FINAL_OUTPUT_LAYER_OP | Constants | static |
FINAL_OUTPUT_MEM_OP | Constants | static |
LAYER_OP_I | Constants | static |
LAYER_OP_W | Constants | static |
MEM_OP_1 | Constants | static |
MEM_OP_2 | Constants | static |
OUTPUT_LAYER_OP | Constants | static |
OUTPUT_MEM_OP | Constants | static |
TypeAlias | Constants | static |
UNKNOWN_DIM_OPERATOR | Constants | static |