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stockfish of the neural network

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But what is a neural network? | Chapter 1, Deep learning

https://www.youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi

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Author: Joost VandeVondele
Date: Thu Oct 28 07:38:19 2021 +0200
Timestamp: 1635399499

Stockfish 14.1

Official release version of Stockfish 14.1

Bench: 6334068

---

Today, we have the pleasure to announce Stockfish 14.1.

As usual, downloads will be freely available at stockfishchess.org/download [1].

With Stockfish 14.1 our users get access to the strongest chess engine
available today. In the period leading up to this release, Stockfish
convincingly won several chess engine tournaments, including the TCEC 21
superfinal, the TCEC Cup 9, and the Computer Chess Championship for
Fischer Random Chess (Chess960). In the latter tournament, Stockfish
was undefeated in 599 out of 600 games played.

Compared to Stockfish 14, this release introduces a more advanced NNUE
architecture and various search improvements. In self play testing, using
a book of balanced openings, Stockfish 14.1 wins three times more game
pairs than it loses [2]. At this high level, draws are very common, so the
Elo difference to Stockfish 14 is about 17 Elo. The NNUE evaluation method,
introduced to top level chess with Stockfish 12 about one year ago [3],
has now been adopted by several other strong CPU based chess engines.

The Stockfish project builds on a thriving community of enthusiasts
(thanks everybody!) that contribute their expertise, time, and resources
to build a free and open-source chess engine that is robust,
widely available, and very strong. We invite our chess fans to join the
fishtest testing framework and programmers to contribute to the project [4].

Stay safe and enjoy chess!

The Stockfish team

[1] https://stockfishchess.org/download/
[2] https://tests.stockfishchess.org/tests/view/6175c320af70c2be1788fa2b
[3] https://github.com/official-stockfish/Stockfish/discussions/3628
[4] https://stockfishchess.org/get-involved/

https://abrok.eu/stockfish/

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https://www.youtube.com/watch?v=PlTyEb1-lM8

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Code:


             
1  Stockfish 14.1 avx512 nn-1340    +5  +50/=914/-36 50.70%  507.0/1000
2  Stockfish 091021 avx512 nn-1340  -5  +36/=914/-50 49.30%  493.0/1000
                         
1  Stockfish 14.1 avx512 nn-1340  +18  +87/=878/-35 52.60%  526.0/1000
2  Stockfish 14 avx512 nn-3475    -18  +35/=878/-87 47.40%  474.0/1000

1  Stockfish 14.1 avx512 nn-1340  +51  +165/=816/-19 57.30%  573.0/1000
2  Stockfish 13 avx512 nn-62ef    -51  +19/=816/-165 42.70%  427.0/1000

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@lisandr wrote:

Code:


              
1   Stockfish 14.1 avx512 nn-1340     +5  +50/=914/-36 50.70%  507.0/1000
2   Stockfish 091021 avx512 nn-1340   -5  +36/=914/-50 49.30%  493.0/1000
                          
1   Stockfish 14.1 avx512 nn-1340   +18  +87/=878/-35 52.60%  526.0/1000
2   Stockfish 14 avx512 nn-3475     -18  +35/=878/-87 47.40%  474.0/1000

1   Stockfish 14.1 avx512 nn-1340   +51  +165/=816/-19 57.30%  573.0/1000
2   Stockfish 13 avx512 nn-62ef     -51  +19/=816/-165 42.70%  427.0/1000




I'm tested Stockfish_PB_x64_161021_E_AVX2 (Chessman compile) vs Stockfish 14.1-avx2 use both same book for perfect2021.bin interesting Stockfish161021 destroy for Stockfish14.1 How could such a thing happen?

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A total disaster playing with this SF 14.1 PB, 2 games lost in a row in playchess. GL with this engine!! I´m go back with SugaR 2.40...

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Compilation by ChessMan

SF-PB-14.1 x32-x64
With support for books in the "Polyglot" (.bin) format
Sources from Skynet

Download: https://pixeldrain.com/u/5AuhtQnL

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@Anton101 wrote:
A total disaster playing with this SF 14.1 PB, 2 games lost in a row in playchess. GL with this engine!! I´m go back with SugaR 2.40...


Yes same problem for me to Stockfish_PB_x64_161021 destroy the SF 14.1 I dont understanding, I think have got a some problems/bug the SF 14.1

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@Anton101 wrote:
A total disaster playing with this SF 14.1 PB, 2 games lost in a row in playchess. GL with this engine!! I´m go back with SugaR 2.40...


Haf U tried Redfish in mode 100?

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@cyberops wrote:
@Anton101 wrote:
A total disaster playing with this SF 14.1 PB, 2 games lost in a row in playchess. GL with this engine!! I´m go back with SugaR 2.40...


Yes same problem for me to  Stockfish_PB_x64_161021 destroy the SF 14.1 I dont understanding, I think have got a some problems/bug the SF 14.1


@cyberops wrote:

I'm tested  Stockfish_PB_x64_161021_E_AVX2 (Chessman compile) vs Stockfish 14.1-avx2 use both same book for perfect2021.bin   interesting Stockfish161021  destroy for Stockfish14.1  How could such a thing happen?

Guys, you are funny. One of you testing the engine in playchess (probably with opening bin or ctg book), maybe it's a book which had a bad lines? cyberops is testing version 14.1 vs older version where the ELO difference is tiny. How many games you have played? Did you use pgn file and Round Robin circle?
In general, if you find any bugs you should report them on GitHub, so SF's team will work on them.

P.s. don't forget to post lost games, test conditions etc, because what are you saying right now it is just a words without any evidence.

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You are right, my next complain will go to Github. Thank you for your amazing work always.

descriptionstockfish of the neural network - Page 14 EmptyRe: stockfish of the neural network

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The took off Contempt parameter?

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SF-PB-311021 x64, "Restore development version". https://github.com/official-stockfish/Stockfish/commit/5a223afe4cfdc2cbb0092c86ddc20fd260e1ac0d
https://pixeldrain.com/u/P6sru1vE

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Author: bmc4
Date: Mon Nov 8 13:14:18 2021 +0100
Timestamp: 1636373658

Author: Joost VandeVondele
Date: Mon Nov 8 13:03:52 2021 +0100
Timestamp: 1636373032

https://abrok.eu/stockfish/

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Author: Michael Chaly
Date: Mon Nov 15 18:20:10 2021 +0100
Timestamp: 1636996810

Author: noobpwnftw
Date: Mon Nov 15 18:19:53 2021 +0100
Timestamp: 1636996793

https://abrok.eu/stockfish/

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SF-PB-101121x64 - "Tune a few NNUE related scaling parameters." https://github.com/official-stockfish/Stockfish/commit/1a5c21dc56a30f4af3979fb47ec3681dc7077195
https://pixeldrain.com/u/BvUREaoZ

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Author: Joost VandeVondele
Date: Sun Nov 21 21:56:13 2021 +0100
Timestamp: 1637528173


Author: Stéphane Nicolet
Date: Sun Nov 21 21:18:08 2021 +0100
Timestamp: 1637525888

https://abrok.eu/stockfish/

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Author: noobpwnftw
Date: Mon Nov 22 13:31:13 2021 +0100
Timestamp: 1637584273

https://abrok.eu/stockfish/

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Author: Stefan Geschwentner
Date: Tue Nov 23 21:23:28 2021 +0100
Timestamp: 1637699008

https://abrok.eu/stockfish/

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Author: Michael Chaly
Date: Thu Nov 25 19:38:03 2021 +0100
Timestamp: 1637865483

Use fraction of history heuristics in futility pruning

This idea is somewhat of a respin of smth we had in futility pruning and that was simplified away - dependence of it not only on static evaluation of position but also on move history heuristics.
Instead of aborting it when they are high there we use fraction of their sum to adjust static eval pruning criteria.

passed STC
https://tests.stockfishchess.org/tests/view/619bd438c0a4ea18ba95a27d
LLR: 2.93 (-2.94,2.94) <0.00,2.50>
Total: 113704 W: 29284 L: 28870 D: 55550 Elo +1.27
Ptnml(0-2): 357, 12884, 30044, 13122, 445

passed LTC
https://tests.stockfishchess.org/tests/view/619cb8f0c0a4ea18ba95a334
LLR: 2.96 (-2.94,2.94) <0.50,3.00>
Total: 147136 W: 37307 L: 36770 D: 73059 Elo +1.27
Ptnml(0-2): 107, 15279, 42265, 15804, 113

closes https://github.com/official-stockfish/Stockfish/pull/3805

bench 6777918
https://abrok.eu/stockfish/
source https://github.com/official-stockfish/Stockfish/commit/0ac8aca893dd2052f8433e0b4a3d65073266b00f

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LOL, didn't see the above patch earlier. Anyway, here's two versions.
SF-PB-241121x64, "Less futility pruning." https://github.com/official-stockfish/Stockfish/commit/092b27a6d0174f619fff9a53099ac9fdc5c2cb4e

link https://pixeldrain.com/u/Fna5ezvf
-----------------------------------
SF-PB-251121x64, "Use fraction of history heuristics in futility pruning" https://github.com/official-stockfish/Stockfish/commit/0ac8aca893dd2052f8433e0b4a3d65073266b00f

link https://pixeldrain.com/u/wCuSbC5C

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Author: Joost VandeVondele
Date: Fri Nov 26 18:16:04 2021 +0100
Timestamp: 1637946964

Update default net to nn-3678835b1d3d.nnue

New net trained with nnue-pytorch, started from the master net on a data set of Leela
(T60.binpack+T74.binpck) and Stockfish data (wrongIsRight_nodes5000pv2.binpack),
available as a single interleaved binpack:

https://drive.google.com/file/d/12uWZIA3F2cNbraAzQNb1jgf3tq_6HkTr/view?usp=sharing

The nnue-pytorch branch used is https://github.com/vondele/nnue-pytorch/tree/wdl, which
has the new feature to filter positions based on the likelihood of the current evaluation
leading to the game outcome. It should make it less likely to try to learn from
misevaluated positions. Standard options have been used, starting from the master net:

--gpus 1 --threads 4 --num-workers 4 --batch-size 16384 --progress_bar_refresh_rate 300
--smart-fen-skipping --random-fen-skipping 12 --features=HalfKAv2_hm^ --lambda=1.0

Testing with games shows neutral Elo at STC, and good performance at LTC:

STC:
https://tests.stockfishchess.org/tests/view/619eb597c0a4ea18ba95a4dc
ELO: -0.44 +-1.8 (95%) LOS: 31.2%
Total: 40000 W: 10447 L: 10498 D: 19055 Elo -0.44
Ptnml(0-2): 254, 4576, 10260, 4787, 123

LTC:
https://tests.stockfishchess.org/tests/view/619f6e87c0a4ea18ba95a53f
ELO: 3.30 +-1.8 (95%) LOS: 100.0%
Total: 33062 W: 8560 L: 8246 D: 16256 Elo +3.30
Ptnml(0-2): 54, 3358, 9352, 3754, 13

passed LTC SPRT:
https://tests.stockfishchess.org/tests/view/61a0864e8967bbf894416e65
LLR: 2.94 (-2.94,2.94) <0.50,3.00>
Total: 29376 W: 7663 L: 7396 D: 14317 Elo +3.16
Ptnml(0-2): 67, 3017, 8205, 3380, 19

closes https://github.com/official-stockfish/Stockfish/pull/3808

Bench: 7011501

https://abrok.eu/stockfish/

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I download the binpack, is about 18g, then put on new BrainLearn, then...I went to playchess server, then game lost for time. When the engine was beating one of the Eman 7.70. LOL. Erased from my PC, too much weight.

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Does somebody have 32bit version for the latest versions of SF ?

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@brahianrosswill wrote:
Does somebody have 32bit version for the latest versions of SF ?


https://stockfishchess.org/download/windows/

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