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Stockfish modified to play the worst move
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Linmiao Xu cb4a623119 Update default smallnet to nn-37f18f62d772.nnue
Created by training L1-128 from scratch with:
- skipping based on simple eval in the trainer, for compatibility with
  regular binpacks without requiring pre-filtering all binpacks
- minimum simple eval of 950, lower than 1000 previously
- usage of some hse-v1 binpacks with minimum simple eval 1000
- addition of hse-v6 binpacks with minimum simple eval 500
- permuting the FT with 10k positions from fishpack32.binpack
- torch.compile to speed up smallnet training

Training is significantly slower when using non-pre-filtered binpacks due to
the increased skipping required.

This net was reached at epoch 339.

```
experiment-name: 128--S1-hse-1k-T80-v6-unfilt-less-sf--se-gt950-no-wld-skip

training-dataset:
  /data/:
    - dfrc99-16tb7p.v2.min.binpack

  /data/hse-v1/:
    - leela96-filt-v2.min.high-simple-eval-1k.min-v2.binpack

    - test60-novdec2021-12tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-1k.min-v2.binpack

    - test77-nov2021-2tb7p.no-db.min.high-simple-eval-1k.min-v2.binpack
    - test77-dec2021-16tb7p.no-db.min.high-simple-eval-1k.min-v2.binpack
    - test77-jan2022-2tb7p.high-simple-eval-1k.min-v2.binpack

    - test78-jantomay2022-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-1k.min-v2.binpack
    - test78-juntosep2022-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-1k.min-v2.binpack

    - test79-apr2022-16tb7p.min.high-simple-eval-1k.min-v2.binpack
    - test79-may2022-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-1k.min-v2.binpack

    - test80-apr2022-16tb7p.min.high-simple-eval-1k.min-v2.binpack
    - test80-may2022-16tb7p.high-simple-eval-1k.min-v2.binpack
    - test80-jun2022-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-1k.min-v2.binpack
    - test80-jul2022-16tb7p.v6-dd.min.high-simple-eval-1k.min-v2.binpack
    - test80-sep2022-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-1k.min-v2.binpack
    - test80-nov2022-16tb7p-v6-dd.min.high-simple-eval-1k.min-v2.binpack

  /data/S11-mar2024/:
    - test80-2022-08-aug-16tb7p.v6-dd.min.binpack
    - test80-2022-10-oct-16tb7p.v6-dd.binpack
    - test80-2022-12-dec-16tb7p.min.binpack

    - test80-2023-01-jan-16tb7p.v6-sk20.min.binpack
    - test80-2023-02-feb-16tb7p.v6-sk20.min.binpack
    - test80-2023-03-mar-2tb7p.v6-sk16.min.binpack
    - test80-2023-04-apr-2tb7p.v6-sk16.min.binpack
    - test80-2023-05-may-2tb7p.v6.min.binpack
    - test80-2023-06-jun-2tb7p.binpack.min-v2.binpack
    - test80-2023-07-jul-2tb7p.binpack.min-v2.binpack
    - test80-2023-08-aug-2tb7p.v6.min.binpack
    - test80-2023-09-sep-2tb7p.binpack.hse-v6.binpack
    - test80-2023-10-oct-2tb7p.binpack.hse-v6.binpack
    - test80-2023-11-nov-2tb7p.binpack.hse-v6.binpack
    - test80-2023-12-dec-2tb7p.binpack.hse-v6.binpack

    - test80-2024-01-jan-2tb7p.binpack.hse-v6.binpack
    - test80-2024-02-feb-2tb7p.binpack.hse-v6.binpack
    - test80-2024-03-mar-2tb7p.binpack

wld-fen-skipping: False

nnue-pytorch-branch: linrock/nnue-pytorch/128-skipSimpleEval-lt950-torch-compile
engine-test-branch: linrock/Stockfish/L1-128-nolazy
engine-base-branch: linrock/Stockfish/L1-128
start-from-engine-test-net: False

num-epochs: 500
start-lambda: 1.0
end-lambda: 1.0
```

Training data can be found at:
https://robotmoon.com/nnue-training-data/

Passed STC:
https://tests.stockfishchess.org/tests/view/66549c16a86388d5e27daff5
LLR: 2.93 (-2.94,2.94) <0.00,2.00>
Total: 196608 W: 51254 L: 50697 D: 94657
Ptnml(0-2): 722, 23244, 49796, 23839, 703

Passed LTC:
https://tests.stockfishchess.org/tests/view/6658d1aa6b0e318cefa90122
LLR: 2.96 (-2.94,2.94) <0.50,2.50>
Total: 122538 W: 31332 L: 30835 D: 60371
Ptnml(0-2): 69, 13407, 33811, 13922, 60

closes https://github.com/official-stockfish/Stockfish/pull/5333

bench
2024-06-01 19:59:07 +02:00
.github Improve performance on NUMA systems 2024-05-28 18:34:15 +02:00
scripts Fix dotprod detection 2024-01-17 18:32:20 +01:00
src Update default smallnet to nn-37f18f62d772.nnue 2024-06-01 19:59:07 +02:00
tests Move ALSR change to CI Workflow file 2024-04-21 14:49:11 +02:00
.clang-format add clang-format 2023-10-22 16:06:27 +02:00
.git-blame-ignore-revs Add .git-blame-ignore-revs 2024-01-07 13:38:55 +01:00
.gitignore Add .gitignore 2021-01-30 13:19:20 +01:00
AUTHORS Simplifying malus for putting piece en prise formula 2024-05-29 18:55:30 +02:00
CITATION.cff Add CITATION.cff file 2023-03-05 16:16:16 +01:00
CONTRIBUTING.md Update installation guide links in CONTRIBUTING.md 2024-01-17 18:06:20 +01:00
Copying.txt Update links in license 2023-10-08 07:38:13 +02:00
README.md Simplify README 2023-09-03 08:40:08 +02:00
Top CPU Contributors.txt Update Top CPU Contributors 2024-02-24 17:58:44 +01:00

Stockfish

Stockfish

A free and strong UCI chess engine.
Explore Stockfish docs »

Report bug · Open a discussion · Discord · Blog

Build License
Release Commits
Website Fishtest Discord

Overview

Stockfish is a free and strong UCI chess engine derived from Glaurung 2.1 that analyzes chess positions and computes the optimal moves.

Stockfish does not include a graphical user interface (GUI) that is required to display a chessboard and to make it easy to input moves. These GUIs are developed independently from Stockfish and are available online. Read the documentation for your GUI of choice for information about how to use Stockfish with it.

See also the Stockfish documentation for further usage help.

Files

This distribution of Stockfish consists of the following files:

  • README.md, the file you are currently reading.

  • Copying.txt, a text file containing the GNU General Public License version 3.

  • AUTHORS, a text file with the list of authors for the project.

  • src, a subdirectory containing the full source code, including a Makefile that can be used to compile Stockfish on Unix-like systems.

  • a file with the .nnue extension, storing the neural network for the NNUE evaluation. Binary distributions will have this file embedded.

Contributing

See Contributing Guide.

Donating hardware

Improving Stockfish requires a massive amount of testing. You can donate your hardware resources by installing the Fishtest Worker and viewing the current tests on Fishtest.

Improving the code

In the chessprogramming wiki, many techniques used in Stockfish are explained with a lot of background information. The section on Stockfish describes many features and techniques used by Stockfish. However, it is generic rather than focused on Stockfish's precise implementation.

The engine testing is done on Fishtest. If you want to help improve Stockfish, please read this guideline first, where the basics of Stockfish development are explained.

Discussions about Stockfish take place these days mainly in the Stockfish Discord server. This is also the best place to ask questions about the codebase and how to improve it.

Compiling Stockfish

Stockfish has support for 32 or 64-bit CPUs, certain hardware instructions, big-endian machines such as Power PC, and other platforms.

On Unix-like systems, it should be easy to compile Stockfish directly from the source code with the included Makefile in the folder src. In general, it is recommended to run make help to see a list of make targets with corresponding descriptions. An example suitable for most Intel and AMD chips:

cd src
make -j profile-build ARCH=x86-64-avx2

Detailed compilation instructions for all platforms can be found in our documentation. Our wiki also has information about the UCI commands supported by Stockfish.

Terms of use

Stockfish is free and distributed under the GNU General Public License version 3 (GPL v3). Essentially, this means you are free to do almost exactly what you want with the program, including distributing it among your friends, making it available for download from your website, selling it (either by itself or as part of some bigger software package), or using it as the starting point for a software project of your own.

The only real limitation is that whenever you distribute Stockfish in some way, you MUST always include the license and the full source code (or a pointer to where the source code can be found) to generate the exact binary you are distributing. If you make any changes to the source code, these changes must also be made available under GPL v3.