 sscg13andJoost VandeVondele
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83e42045a6
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Update NNUE architecture to SFNNv12 and net nn-7e1657811c6d.nnue
This net is trained with https://github.com/sscg13/nettest/blob/no-king-attacker/threats.yaml.
Passed non-regression STC:
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 92640 W: 24371 L: 24209 D: 44060
Ptnml(0-2): 389, 11047, 23322, 11137, 425
https://tests.stockfishchess.org/tests/view/6986345fa259e26d2c32e9c5
Passed non-regression LTC:
LLR: 2.96 (-2.94,2.94) <-1.75,0.25>
Total: 198636 W: 50960 L: 50919 D: 96757
Ptnml(0-2): 176, 22218, 54511, 22215, 198
https://tests.stockfishchess.org/tests/view/6987ee29b0f3ca5200aafa51
closes https://github.com/official-stockfish/Stockfish/pull/6609
bench: 2465828
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2026-02-13 06:56:10 +01:00 |
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sscg13andJoost VandeVondele
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fac506bdf3
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Update NNUE architecture to SFNNv11 and net nn-3dd094f3dfcf.nnue
Removes threat features of the form piece -> king, thus saving 13MB of net
space and approximately 0.8 threat feature updates per incremental accumulator
update.
Passed non-regression STC:
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 33664 W: 8864 L: 8636 D: 16164
Ptnml(0-2): 136, 3926, 8501, 4112, 157
https://tests.stockfishchess.org/tests/view/6981dcda4776a4e6e7fef2ac
Passed non-regression LTC:
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 46896 W: 12077 L: 11881 D: 22938
Ptnml(0-2): 41, 5118, 12924, 5334, 31
https://tests.stockfishchess.org/tests/view/69827c6beb87369ff4d0c7d5
closes https://github.com/official-stockfish/Stockfish/pull/6593
bench: 2668754
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2026-02-04 18:26:28 +01:00 |
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+1
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8e5392d79a
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Update NNUE architecture to SFNNv10 with Threat Inputs and net nn-49c1193b131c.nnue
This commit introduces Full Threat Input features, which are a subset of Piece(Square)-Piece(Square) pairs. In any given position, the active features consist of pairs where the second piece’s square lies in the attack set of the first piece. This is an extremely simplified explanation that leaves out many details. The already-used HalfKAv2_hm feature set completes the input features.
Minor quantization changes have also been made.
The net nn-49c1193b131c.nnue was trained by vondele using the following setup: https://github.com/vondele/nettest/blob/7de71238e9b295e3f88ed7c9c5936af632c9b981/threats.yaml
A graphical version of an earlier scheme (with less refinement) that illustrates the core concepts can be found attached.
[NewInputs.pdf](https://github.com/user-attachments/files/23478441/NewInputs.pdf)
Further information, as well as a brief description of the history of development, can be found attached.
[Stockfish threat inputs PR summary.pdf](https://github.com/user-attachments/files/23478634/Stockfish.threat.inputs.PR.summary.pdf)
This has been a huge effort spanning over half a year, with the original [discussion thread](https://discord.com/channels/435943710472011776/1336647760388034610) reaching over 11k messages. Thanks to everyone who has contributed.
Monty PRs:
https://github.com/official-monty/Monty/pull/87 (Initial threat input PR)
https://github.com/official-monty/Monty/pull/114 (Fixed threat indexing to take into account colour correctly)
https://github.com/official-monty/Monty/pull/116 (i8 quantisation of weights whilst keeping calculations in i16)
Yukari commit:
https://github.com/yukarichess/yukari/commit/2d482c64a79cec03cf4987d5289334b9cdc737bc (Threat inputs merged)
Plentychess PRs:
https://github.com/Yoshie2000/PlentyChess/pull/400 (Threat inputs merged)
https://github.com/Yoshie2000/PlentyChess/pull/411 (Threat input weights quantised to i8)
Passed STC:
LLR: 2.93 (-2.94,2.94) <0.00,2.00>
Total: 63424 W: 16956 L: 16591 D: 29877
Ptnml(0-2): 276, 7522, 15797, 7795, 322
https://tests.stockfishchess.org/tests/view/69105b3dec1d00d2c195c569
Passed LTC:
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 27876 W: 7417 L: 7110 D: 13349
Ptnml(0-2): 23, 3033, 7530, 3318, 34
https://tests.stockfishchess.org/tests/view/6910d817ec1d00d2c195c66e
Passed VVLTC (Hash accidentally set to 1/2 normal value for both sides):
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 12458 W: 3353 L: 3102 D: 6003
Ptnml(0-2): 0, 1106, 3767, 1355, 1
https://tests.stockfishchess.org/tests/view/69115a26ec1d00d2c195c7cd
This version has also passed non-regression LTC against the originally passed version:
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 51144 W: 13086 L: 12903 D: 25155
Ptnml(0-2): 22, 5167, 15018, 5336, 29
https://tests.stockfishchess.org/tests/view/69138a317ca87818523314bf
LTC elo estimate on ARM:
1 patch : 13.9 1.9 38296.5 73728 52
2 master : 0.0 ---- 35431.5 73728 48
closes https://github.com/official-stockfish/Stockfish/pull/6411
bench: 2626086
Co-authored-by: Shawn Xu <xu107288696@gmail.com>
Co-authored-by: Timothy Herchen <timothy.herchen@gmail.com>
Co-authored-by: Viren6 <94880762+Viren6@users.noreply.github.com>
Co-authored-by: Yoshie2000 <patrick.leonhardt@gmx.net>
Co-authored-by: Joost Vandevondele <Joost.VandeVondele@gmail.com>
Co-authored-by: rn5f107s2 <clemens.lerchl@gmail.com>
Co-authored-by: cj5716 <125858804+cj5716@users.noreply.github.com>
Co-authored-by: AliceRoselia <63040919+AliceRoselia@users.noreply.github.com>
Co-authored-by: Linmiao Xu <linmiao.xu@gmail.com>
Co-authored-by: Disservin <disservin.social@gmail.com>
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2025-11-12 10:49:39 +01:00 |
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sscg13andDisservin
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7858f9dfdc
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Use same pawn value in both nets when doing material scaling of eval
Passed Non-regression STC:
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 221312 W: 57291 L: 57274 D: 106747
Ptnml(0-2): 760, 26152, 56841, 26117, 786
https://tests.stockfishchess.org/tests/view/676e2a101a2f267f20548453
Passed Non-regression LTC:
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 176808 W: 45084 L: 45023 D: 86701
Ptnml(0-2): 112, 19418, 49286, 19473, 115
https://tests.stockfishchess.org/tests/view/676f424d1a2f267f2054857f
closes https://github.com/official-stockfish/Stockfish/pull/5741
Bench: 1121800
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2025-01-12 21:09:58 +01:00 |
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