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QueryKeyValueTensors -> AttentionOutputTensor
Dynamically skip executing the softmax normalization step in specific attention blocks based on token dependency heuristic scoring.
Problem it solves
Calculating softmax over extremely long sequences creates memory bandwidth bottlenecks during attention phases.
Consumes
Emits
The real projects this mechanism was found in. Attribution is the point — this is how the best teams actually do it.