Simon Brandeis
A performance optimization researcher in the Hugging Face community, focused on NLP inference performance profiling and engineering optimization.
Timeline (last 90 days)
Brandeis introduces a page cache to record whether a given code point may be changed by normalization or merged with its neighbors, precomputing the answers for 256 code points on first access to a page, reducing subsequent lookup complexity from O(log n) to O(1).
Brandeis reports that the optimized branch can be up to 5.7 times faster than the main branch, and about 50 times faster overall relative to tokenizers version 0.23, but the two baselines differ, and the 50x includes improvements accumulated from earlier version iterations.
All Facts (2)
Brandeis introduces a page cache to record whether a given code point may be changed by normalization or merged with its neighbors, precomputing the answers for 256 code points on first access to a page, reducing subsequent lookup complexity from O(log n) to O(1).
50%UnverifiedBrandeis reports that the optimized branch can be up to 5.7 times faster than the main branch, and about 50 times faster overall relative to tokenizers version 0.23, but the two baselines differ, and the 50x includes improvements accumulated from earlier version iterations.
50%