Stockfish NNUE

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Toriyama Sekien - Ikuchi

Stockfish NNUE,
a Stockfish branch by Nodchip which uses Efficiently Updatable Neural Networks - stylized as ƎUИИ or reversed as NNUE - to replace its standard evaluation. NNUE, introduced in 2018 by Yu Nasu , were previously successfully applied in Shogi evaluation functions embedded in a Stockfish based search , such as YaneuraOu , and Kristallweizen-kai . In 2019, Nodchip incorporated NNUE into Stockfish 10 - as a proof of concept, and with the intention to give something back to the Stockfish community . After support and announcements by Henk Drost in May 2020 and subsequent enhancements, Stockfish NNUE was established. In summer 2020 with more people involved in testing and training, and the computer chess community bursts out enthusiastically due to its rapidly raising playing strength with different networks trained using a mixture of supervised and reinforcement learning methods - despite the approximately halved search speed, seemingly becoming stronger than its original . In July 2020, the playing code of NNUE is put into the official Stockfish repository as a branch for further development and examination. However, the training code still remains in Nodchip's repository .

NNUE Structure

The neural network consists of four layers. The input layer is heavily overparametrized, feeding in the board representation for various king configurations. The efficiency of NNUE is due to incremental update the outputs of the input layer in make and unmake move, where only a tiny fraction of its neurons need to be considered . The remaining three layers with 256x2x32-32x32-32x1 neurons are computational less expensive, best calculated using appropriate SIMD instructions like AVX2 on x86-64, or if available, AVX-512.

Strong Points

• Reuses and gets benefits from the very optimized search function of Stockfish as well as almost all Stockfish's code
• Runs with CPU only, doesn't require expensive video cards, and the need for installing video drivers and specific libraries, thus it becomes much easier to install (compare with other NN engines such as Leela Chess Zero) for users and can run with almost all modern computers
• Requires much smaller training sets. Some high score networks can be built with the effort of one or a few people. It doesn't require the massive computing from a supercomputer and/or from community

See also

• Category: Neural Network Engines
• Neural Networks
• NNUE
• Winter

Forum Posts

2020 ...

January ...

• The Stockfish of shogi by Larry Kaufman, CCC, January 07, 2020 » Shogi
• Stockfish NNUE by Henk Drost, CCC, May 31, 2020 » Stockfish
• Stockfish NN release (NNUE) by Henk Drost, CCC, May 31, 2020
• stockfish-NNUE as grist for SF development? by Warren D. Smith, FishCooking, June 21, 2020

July

• Can the sardine! NNUE clobbers SF by Henk Drost, CCC, July 16, 2020
• End of an era? by Michel Van den Bergh, FishCooking, July 20, 2020
• Sergio Vieri second net is out by Sylwy, CCC, July 21, 2020
• NNUE accessible explanation by Martin Fierz, CCC, July 21, 2020

Re: NNUE accessible explanation by Jonathan Rosenthal, CCC, July 23, 2020

• Stockfish NNUE by Lion, CCC, July 25, 2020
• SF-NNUE going forward... by Zenmastur, CCC, July 27, 2020
• 7000 games testrun of SFnnue sv200724_0123 finished by Stefan Pohl, FishCooking, July 26, 2020
• LC0 vs. NNUE - some tech details... by Srdja Matovic, CCC, July 29, 2020 » Lc0
• Stockfish NNUE and testsuites by Jouni Uski, CCC, July 29, 2020

External Links

Chess Engine

• Stockfish NNUE – The Complete Guide, June 19, 2020 (Japanese and English)
• GitHub - nodchip/Stockfish: UCI chess engine by Nodchip
• Stockfish NNUE Wiki
• NNUE merge · Issue #2823 · official-stockfish/Stockfish · GitHub by Joost VandeVondele, July 25, 2020
• Index of /~sergio-v/nnue by Sergio Vieri

Misc

• Stockfish from Wikipedia
• Nue from Wikipedia
• Ikuchi from Wikipedia

References

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