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Author SHA1 Message Date
Disservin e67cc979fd Stockfish 16.1
Official release version of Stockfish 16.1

Bench: 1303971

---

Stockfish 16.1

Today, we have the pleasure to announce Stockfish 16.1. As always, you can
freely download it at https://stockfishchess.org/download and use it in the GUI
of your choice[1].

Don't forget to join our Discord server[2] to get in touch with the community of
developers and users of the project!

*Quality of chess play*

In our testing against its predecessor, Stockfish 16.1 shows a notable
improvement in performance, with an Elo gain of up to 27 points and winning over
2 times more game pairs[3] than it loses.

*Update highlights*

*Improved evaluation*

- Updated neural network architecture: The neural network architecture has
  undergone two updates and is currently in its 8th version[4].
- Removal of handcrafted evaluation (HCE): This release marks the removal of the
  traditional handcrafted evaluation and the transition to a fully neural
  network-based approach[5].
- Dual NNUE: For the first time, Stockfish includes a secondary neural
  network[6], used to quickly evaluate positions that are easily decided.

*UCI Options removed*

`Use NNUE` and `UCI_AnalyseMode`[7] have been removed as they no longer had any
effect. `SlowMover`[8] has also been removed in favor of `Move Overhead`.

*More binaries*

We now offer 13 new binaries. These new binaries include `avx512`, `vnni256`,
`vnni512`, `m1-apple-silicon`, and `armv8-dotprod`, which take advantage of
specific CPU instructions for improved performance.
For most users, using `sse41-popcnt` (formerly `modern`), `avx2`, or `bmi2`
should be enough, but if your CPU supports these new instructions, feel free to
try them!

*Development changes*

- Updated testing book: This new book[9], now derived exclusively from the open
  Lichess database[10], is 10 times larger than its predecessor, and has been
  used to test potential improvements to Stockfish over the past few months.
- Consolidation of repositories: Aiming to simplify access to our resources, we
  have moved most Stockfish-related repositories into the official Stockfish
  organization[11] on GitHub.
- Growing maintainer team: We welcome Disservin[12] to the team of maintainers
  of the project! This extra pair of hands will ensure the lasting success of
  Stockfish.

*Thank you*

The Stockfish project builds on a thriving community of enthusiasts (thanks
everybody!) who contribute their expertise, time, and resources to build a free
and open-source chess engine that is robust, widely available, and very strong.

We would like to express our gratitude for the 10k stars[13] that light up our
GitHub project! Thank you for your support and encouragement – your recognition
means a lot to us.

We invite our chess fans to join the Fishtest testing framework[14], and
programmers to contribute to the project either directly to Stockfish[15] (C++),
to Fishtest[16] (HTML, CSS, JavaScript, and Python), to our trainer
nnue-pytorch[17] (C++ and Python), or to our website[18] (HTML, CSS/SCSS, and
JavaScript).

The Stockfish team

[1] https://github.com/official-stockfish/Stockfish/wiki/Download-and-usage#download-a-chess-gui
[2] https://discord.gg/GWDRS3kU6R
[3] https://tests.stockfishchess.org/tests/view/65d666051d8e83c78bfddbd8
[4] https://github.com/official-stockfish/nnue-pytorch/blob/master/docs/nnue.md#sfnnv8-architecture
[5] https://github.com/official-stockfish/Stockfish/commit/af110e0
[6] https://github.com/official-stockfish/Stockfish/commit/584d9ef
[7] https://github.com/official-stockfish/Stockfish/commit/c53d2ec
[8] https://github.com/official-stockfish/Stockfish/commit/536d692
[9] https://github.com/official-stockfish/books/commit/426eca4
[10] https://database.lichess.org/
[11] https://github.com/official-stockfish/
[12] https://github.com/Disservin
[13] https://github.com/official-stockfish/Stockfish/stargazers
[14] https://github.com/official-stockfish/fishtest/wiki/Running-the-worker
[15] https://github.com/official-stockfish/Stockfish
[16] https://github.com/official-stockfish/fishtest
[17] https://github.com/official-stockfish/nnue-pytorch
[18] https://github.com/official-stockfish/stockfish-web
2024-02-24 18:15:04 +01:00
Robert Nurnberg @ elitebook 5c2b385957 Update the WDL model
Based on 130M positions from 2.1M games.

```
Look recursively in directory pgns for games from SPRT tests using books
matching "UHO_4060_v..epd|UHO_Lichess_4852_v1.epd" for SF revisions
between 8e75548f2a (from 2024-02-17
17:11:46 +0100) and HEAD (from 2024-02-17 17:13:07 +0100). Based on
127920843 positions from 2109240 games, NormalizeToPawnValue should
change from 345 to 356.
```

The patch only affects the UCI-reported cp and wdl values.

closes https://github.com/official-stockfish/Stockfish/pull/5070

No functional change
2024-02-24 17:59:41 +01:00
Disservin bec83a1869 Update Top CPU Contributors
closes https://github.com/official-stockfish/Stockfish/pull/5069

No functional change
2024-02-24 17:58:44 +01:00
Disservin d07033d5da Expose EvalFileSmall option for small net
Since https://github.com/official-stockfish/fishtest/pull/1870 has been merged
it's time for this update.

5k Fixed Games showed no problems.
https://tests.stockfishchess.org/tests/view/65d9cc274c0e22b904f574d7

closes https://github.com/official-stockfish/Stockfish/pull/5068

No functional change
2024-02-24 17:57:49 +01:00
cj5716 fc41f64dfd Simplify PV node reduction
Reduce less on PV nodes even with an upperbound TT entry.

Passed STC:
https://tests.stockfishchess.org/tests/view/65cb3a861d8e83c78bfd0497
LLR: 2.96 (-2.94,2.94) <-1.75,0.25>
Total: 118752 W: 30441 L: 30307 D: 58004
Ptnml(0-2): 476, 14179, 29921, 14335, 465

Passed LTC:
https://tests.stockfishchess.org/tests/view/65cd3b951d8e83c78bfd2b0d
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 155058 W: 38549 L: 38464 D: 78045
Ptnml(0-2): 85, 17521, 42219, 17632, 72

closes https://github.com/official-stockfish/Stockfish/pull/5057

Bench: 1303971
2024-02-17 17:13:07 +01:00
Linmiao Xu 8e75548f2a Update default main net to nn-b1a57edbea57.nnue
Created by retraining the previous main net `nn-baff1edbea57.nnue` with:
- some of the same options as before: ranger21, more WDL skipping
- the addition of T80 nov+dec 2023 data
- increasing loss by 15% when prediction is too high, up from 10%
- use of torch.compile to speed up training by over 25%

```yaml
experiment-name: 2560--S9-514G-T80-augtodec2023-more-wdl-skip-15p-more-loss-high-q-sk28

training-dataset:
  # https://github.com/official-stockfish/Stockfish/pull/4782
  - /data/S6-514G-1ee1aba5ed.binpack
  - /data/test80-aug2023-2tb7p.v6.min.binpack
  - /data/test80-sep2023-2tb7p.binpack
  - /data/test80-oct2023-2tb7p.binpack
  - /data/test80-nov2023-2tb7p.binpack
  - /data/test80-dec2023-2tb7p.binpack
early-fen-skipping: 28

start-from-engine-test-net: True
nnue-pytorch-branch: linrock/nnue-pytorch/r21-more-wdl-skip-15p-more-loss-high-q-torch-compile

num-epochs: 1000
lr: 4.375e-4
gamma: 0.995
start-lambda: 1.0
end-lambda: 0.7
```

Epoch 819 trained with the above config led to this PR. Use of torch.compile
decorators in nnue-pytorch model.py was found to speed up training by at least
25% on Ampere gpus when using recent pytorch compiled with cuda 12:
https://catalog.ngc.nvidia.com/orgs/nvidia/containers/pytorch

See recent main net PRs for more info on
- ranger21 and more WDL skipping: https://github.com/official-stockfish/Stockfish/pull/4942
- increasing loss when Q is too high: https://github.com/official-stockfish/Stockfish/pull/4972

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

Passed STC:
https://tests.stockfishchess.org/tests/view/65cd76151d8e83c78bfd2f52
LLR: 2.98 (-2.94,2.94) <0.00,2.00>
Total: 78336 W: 20504 L: 20115 D: 37717
Ptnml(0-2): 317, 9225, 19721, 9562, 343

Passed LTC:
https://tests.stockfishchess.org/tests/view/65ce5be61d8e83c78bfd43e9
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 41016 W: 10492 L: 10159 D: 20365
Ptnml(0-2): 22, 4533, 11071, 4854, 28

closes https://github.com/official-stockfish/Stockfish/pull/5056

Bench: 1351997
2024-02-17 17:11:46 +01:00
cj5716 f3df0cfb84 Simplify TT PV reduction
This also removes some incorrect fail-high logic.

Passed STC:
https://tests.stockfishchess.org/tests/view/65cb3b641d8e83c78bfd04a9
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 87968 W: 22634 L: 22468 D: 42866
Ptnml(0-2): 315, 10436, 22323, 10588, 322

Passed LTC:
https://tests.stockfishchess.org/tests/view/65cccee21d8e83c78bfd222c
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 70794 W: 17846 L: 17672 D: 35276
Ptnml(0-2): 44, 7980, 19189, 8126, 58

closes https://github.com/official-stockfish/Stockfish/pull/5055

Bench: 1474424
2024-02-17 17:10:13 +01:00
Gahtan Nahdi 9d61822b5d Remove penalty for quiet ttMove that fails low
Passed STC non-reg:
https://tests.stockfishchess.org/tests/view/65c691a7c865510db0286e6e
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 234336 W: 60258 L: 60255 D: 113823
Ptnml(0-2): 966, 28141, 58918, 28210, 933

Passed LTC non-reg:
https://tests.stockfishchess.org/tests/view/65c8d0d31d8e83c78bfcd4a6
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 235206 W: 59134 L: 59132 D: 116940
Ptnml(0-2): 135, 26908, 63517, 26906, 137

https://github.com/official-stockfish/Stockfish/pull/5054

Bench: 1287996
2024-02-17 17:08:01 +01:00
Disservin bf2c7306ac Use node counting to early stop search
This introduces a form of node counting which can
be used to further tweak the usage of our search
time.
The current approach stops the search when almost
all nodes are searched on a single move.

The idea originally came from Koivisto, but the
implemention is a bit different, Koivisto scales
the optimal time by the nodes effort and then
determines if the search should be stopped.
We just scale down the `totalTime` and stop the
search if we exceed it and the effort is large
enough.

Passed STC:
https://tests.stockfishchess.org/tests/view/65c8e0661d8e83c78bfcd5ec
LLR: 2.97 (-2.94,2.94) <0.00,2.00>
Total: 88672 W: 22907 L: 22512 D: 43253
Ptnml(0-2): 310, 10163, 23041, 10466, 356

Passed LTC:
https://tests.stockfishchess.org/tests/view/65ca632b1d8e83c78bfcf554
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 170856 W: 42910 L: 42320 D: 85626
Ptnml(0-2): 104, 18337, 47960, 18919, 108

closes https://github.com/official-stockfish/Stockfish/pull/5053

Bench: 1198939
2024-02-14 21:39:31 +01:00
Tierynn Byrnes f4f0b32d55 Refactor timeman.cpp
Move optExtra, optConstant and maxConstant into lower scope.

closes https://github.com/official-stockfish/Stockfish/pull/5052

No functional change
2024-02-14 21:38:17 +01:00
Muzhen Gaming 5c03883107 VVLTC search tune
Search parameters were tuned using 16k games at
VVLTC. They were tuned starting with the new
parameters (in search only) of PR #5039.

Passed VVLTC:
https://tests.stockfishchess.org/tests/view/65c8a8fc1d8e83c78bfcd163
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 20826 W: 5355 L: 5100 D: 10371
Ptnml(0-2): 1, 1941, 6275, 2194, 2

Passed 2nd VVLTC:
https://tests.stockfishchess.org/tests/view/65cadc2d1d8e83c78bfcfdaf
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 17710 W: 4611 L: 4352 D: 8747
Ptnml(0-2): 1, 1586, 5422, 1845, 1

STC Elo estimate:
https://tests.stockfishchess.org/tests/view/65cb6aed1d8e83c78bfd0802
Elo: -1.46 ± 1.8 (95%) LOS: 5.5%
Total: 40000 W: 10267 L: 10435 D: 19298
Ptnml(0-2): 200, 4860, 10023, 4742, 175
nElo: -2.77 ± 3.4 (95%) PairsRatio: 0.97

Bench: 1198939
2024-02-14 21:27:55 +01:00
Disservin 7ccde25baf Format code using clang-format
No functional change
2024-02-11 20:13:19 +01:00
Gahtan Nahdi c115e5171e Remove quiet tt move extensions
Passed STC:
https://tests.stockfishchess.org/tests/view/65c6934cc865510db0286e90
LLR: 2.99 (-2.94,2.94) <-1.75,0.25>
Total: 54016 W: 14065 L: 13854 D: 26097
Ptnml(0-2): 231, 6381, 13581, 6576, 239

Passed LTC:
https://tests.stockfishchess.org/tests/view/65c72b91c865510db0287a1a
LLR: 2.96 (-2.94,2.94) <-1.75,0.25>
Total: 55098 W: 13850 L: 13658 D: 27590
Ptnml(0-2): 37, 6257, 14777, 6433, 45

closes https://github.com/official-stockfish/Stockfish/pull/5049

Bench: 1027182
2024-02-11 19:58:35 +01:00
mstembera 531747ee78 Improve thread voting inefficiencies
Initialize the unordered map to a reasonable
number of buckets and make the move hashes well
distributed. For more see
https://github.com/official-stockfish/Stockfish/pull/4958#issuecomment-1937351190
Also make bestThreadPV and newThreadPV references
so we don't copy entire vectors.

closes https://github.com/official-stockfish/Stockfish/pull/5048

No functional change
2024-02-11 19:55:26 +01:00
Michael Chaly 91a4cea437 Adjust best value in main search depending on depth
This patch does similar thing to how it's done for
qsearch - in case of fail high adjust result to
lower value. Difference is that it is done only
for non-pv nodes and it's depth dependent - so
lower depth entries will have bigger adjustment
and higher depth entries will have smaller
adjustment.

Passed STC:
https://tests.stockfishchess.org/tests/view/65c3c0cbc865510db0283b21
LLR: 2.96 (-2.94,2.94) <0.00,2.00>
Total: 112032 W: 29142 L: 28705 D: 54185
Ptnml(0-2): 479, 13152, 28326, 13571, 488

Passed LTC:
https://tests.stockfishchess.org/tests/view/65c52e62c865510db02855d5
LLR: 2.96 (-2.94,2.94) <0.50,2.50>
Total: 132480 W: 33457 L: 32936 D: 66087
Ptnml(0-2): 67, 14697, 36222, 15156, 98

closes https://github.com/official-stockfish/Stockfish/pull/5047

Bench: 1168241
2024-02-11 19:53:45 +01:00
Disservin 9068fdc57b Assorted cleanups
Assorted cleanups

closes https://github.com/official-stockfish/Stockfish/pull/5046

No functional change

Co-Authored-By: Shahin M. Shahin <41402573+peregrineshahin@users.noreply.github.com>
Co-Authored-By: cj5716 <125858804+cj5716@users.noreply.github.com>
2024-02-11 19:52:00 +01:00
GoldenRare 3d5b16df7c Remove unnecessary assignments related to adjusted static evaluation
In both search and qsearch, there are instances
where we do unadjustedStaticEval = ss->staticEval
= eval/bestValue = tte->eval(), but immediately
after re-assign ss-static and eval/bestValue to
some new value, which makes the initial assignment
redundant.

closes https://github.com/official-stockfish/Stockfish/pull/5045

No functional change
2024-02-11 19:46:55 +01:00
Disservin 21dff6c276 Update CI actions
- Update codeql to v3
- Switch from dev-drprasad to native github cli
- Update softprops/action-gh-release to node 20 commit

`thollander/actions-comment-pull-request` needs to
be bumped to node20 too, but the author hasnt done
so atm

closes https://github.com/official-stockfish/Stockfish/pull/5044

No functional change
2024-02-11 19:40:33 +01:00
mstembera 9699f4f79a Fix the alignment of the transformer buffer
Fixes the issue mentioned in
https://github.com/official-stockfish/Stockfish/commit/584d9efedcde330eeb96a99215552ddfb06f52ba#r138417600.
Thanks to @cj5716 and @peregrineshahin for
spotting this!

closes https://github.com/official-stockfish/Stockfish/pull/5042

No functional change
2024-02-09 19:06:25 +01:00
Muzhen Gaming 96837bc439 Remove check extension
Passed simplification STC:
https://tests.stockfishchess.org/tests/view/65c38d2ac865510db02836cf
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 52288 W: 13578 L: 13371 D: 25339
Ptnml(0-2): 197, 6171, 13265, 6250, 261

Passed simplification LTC:
https://tests.stockfishchess.org/tests/view/65c4470ec865510db0284473
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 44958 W: 11255 L: 11055 D: 22648
Ptnml(0-2): 37, 4962, 12274, 5176, 30

closes https://github.com/official-stockfish/Stockfish/pull/5041

Bench: 1116591
2024-02-09 19:06:25 +01:00
gahtan-syarif 15093d43c4 Simplify opponent movecount reduction
This removes the reduction decrease that occured
when the previous ply had a movecount greater than
7.

Passed STC:
https://tests.stockfishchess.org/tests/view/65c3f6dac865510db0283ef6
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 11968 W: 3205 L: 2953 D: 5810
Ptnml(0-2): 38, 1310, 3064, 1506, 66

Passed LTC:
https://tests.stockfishchess.org/tests/view/65c42377c865510db0284217
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 35676 W: 9113 L: 8905 D: 17658
Ptnml(0-2): 22, 3893, 9802, 4097, 24

closes https://github.com/official-stockfish/Stockfish/pull/5040

Bench: 1148379
2024-02-09 19:06:25 +01:00
cj5716 c0107b3c27 Remove simple eval
With the recent introduction of the dual NNUE, the
need for simple eval is no longer there.

Passed STC:
https://tests.stockfishchess.org/tests/view/65c1f735c865510db0281652
LLR: 2.96 (-2.94,2.94) <-1.75,0.25>
Total: 85312 W: 22009 L: 21837 D: 41466
Ptnml(0-2): 334, 10155, 21567, 10205, 395

Passed LTC:
https://tests.stockfishchess.org/tests/view/65c2d64bc865510db0282810
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 49956 W: 12596 L: 12402 D: 24958
Ptnml(0-2): 28, 5553, 13624, 5743, 30

closes https://github.com/official-stockfish/Stockfish/pull/5037

Bench 1213676
2024-02-09 19:06:25 +01:00
Stefan Geschwentner f2984471c9 Tweak capture scoring for move ordering
Move divisor from capture scoring to good capture
check and sligthly increase it.

This has several effects:
- its a speedup because for quience and probcut
  search the division now never happens. For main
  search its delayed and can be avoided if a good
  capture triggers a cutoff
- through the higher resolution of scores we have
  a more granular sorting

STC: https://tests.stockfishchess.org/tests/view/65bf2a93c865510db027dc27
LLR: 2.93 (-2.94,2.94) <0.00,2.00>
Total: 470016 W: 122150 L: 121173 D: 226693
Ptnml(0-2): 2133, 55705, 118374, 56644, 2152

LTC: https://tests.stockfishchess.org/tests/view/65c1d16dc865510db0281339
LLR: 2.96 (-2.94,2.94) <0.50,2.50>
Total: 98988 W: 25121 L: 24667 D: 49200
Ptnml(0-2): 77, 10998, 26884, 11464, 71

closes https://github.com/official-stockfish/Stockfish/pull/5036

Bench: 1233867
2024-02-09 19:06:25 +01:00
Disservin a20726eb0b Refactor the CI workflows
This refactors the CI workflows to group some
logic and makes sure that all (pre)release
binaries are actually tested.

The screenshot below shows the execution logic of
the reworked ci,
https://github.com/Disservin/Stockfish/actions/runs/7773581379.
You can also hover over the cards to see the
execution flow.

The `matrix.json` and `arm_matrix.json` define the
binaries which will be uploaded to GitHub.
Afterwards a matrix is created and each job
compiles a profile guided build for that arch and
uploads that as an artifact to GitHub. The
Binaries/ARM_Binaries workflow's are called when
the previous step has been completed, and uploads
all artifacts to the (pre)release.

This also fixes some indentations and renames the
workflows, see
https://github.com/official-stockfish/Stockfish/actions,
where every workflow is called `Stockfish` vs
https://github.com/Disservin/Stockfish/actions. It
also increases the parallel compilation used for
make from `-j2 to -j4`.

It now also prevents the prerelease action from
running on forks.

A test release can be viewed here
https://github.com/Disservin/Stockfish/releases.

closes https://github.com/official-stockfish/Stockfish/pull/5035

No functional change
2024-02-09 19:06:25 +01:00
FauziAkram 59691d46a1 Assorted trivial cleanups
Renaming doubleExtensions variable to multiExtensions, since now we have also triple extensions.

Some extra cleanups.

Recent tests used to measure the elo worth:
https://tests.stockfishchess.org/tests/view/659fd0c379aa8af82b96abc3
https://tests.stockfishchess.org/tests/view/65a8f3da79aa8af82b9751e3
https://tests.stockfishchess.org/tests/view/65b51824c865510db0272740
https://tests.stockfishchess.org/tests/view/65b58fbfc865510db0272f5b

closes https://github.com/official-stockfish/Stockfish/pull/5032

No functional change
2024-02-09 19:06:24 +01:00
Muzhen Gaming ededadcd6f VVLTC search tune
Search parameters were tuned at 60+0.6 8-thread.
Link to the tuning attempt: https://tests.stockfishchess.org/tests/view/65b84e8dc865510db0276030

The most significant change is the triple extension parameter, from 200 to 78. This presumably improves scaling.
Additionally, the value < singularBeta - 2 condition for double extensions was removed.
This can simply be considered a parameter tweak from 2 to 0.

Passed VVLTC: https://tests.stockfishchess.org/tests/view/65baec69c865510db0278f19
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 26136 W: 6564 L: 6305 D: 13267
Ptnml(0-2): 2, 2413, 7977, 2676, 0

Passed VVLTC vs passed PR #5027: https://tests.stockfishchess.org/tests/view/65bc2adfc865510db027a561
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 52968 W: 13372 L: 13046 D: 26550
Ptnml(0-2): 4, 4944, 16265, 5264, 7

STC Elo estimate: https://tests.stockfishchess.org/tests/view/65be5514c865510db027cbc5

closes https://github.com/official-stockfish/Stockfish/pull/5029

Bench: 1478189
2024-02-03 17:40:07 +01:00
gab8192 e815227c30 Simplify LMR condition
Apply LMR on captures the same way it is applied on quiets

Passed Non-Reg STC:
https://tests.stockfishchess.org/tests/view/65bbf39bc865510db027a14a
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 77152 W: 19970 L: 19791 D: 37391
Ptnml(0-2): 304, 9159, 19496, 9288, 329

Passed Non-Reg LTC:
https://tests.stockfishchess.org/tests/view/65bc8889c865510db027ac9e
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 103230 W: 25997 L: 25858 D: 51375
Ptnml(0-2): 71, 11687, 27958, 11830, 69

Hit rate of removed condition (!ss->ttPv || !capture || (cutNode && (ss - 1)->moveCount > 1))
Total 1253801 Hits 1228904 Hit Rate (%) 98.0143

Hit rate of previous LMR (depth >= 2 && moveCount > 1 + rootNode && ...)
Total 1253801 Hits 727234 Hit Rate (%) 58.0023

Hit rate of simplified LMR (depth >= 2 && moveCount > 1 + rootNode)
Total 1201839 Hits 713540 Hit Rate (%) 59.3707

closes https://github.com/official-stockfish/Stockfish/pull/5028

Bench: 1438224
2024-02-03 17:30:41 +01:00
Viren6 f2b6b5cfc9 Introduce Triple Extensions
This replaces singularquietLMR with triple instead of double extending non-capture ttmoves that have value far below singularBeta. This threshold value is initially set to 200, there is scope for more scaling by reducing it as occured with double extensions.

Passed STC:
https://tests.stockfishchess.org/tests/view/65b683b8c865510db0274074
LLR: 2.95 (-2.94,2.94) <0.00,2.00>
Total: 222912 W: 58141 L: 57535 D: 107236
Ptnml(0-2): 1063, 26244, 56154, 27014, 981

Passed LTC:
https://tests.stockfishchess.org/tests/view/65bae6d4c865510db0278eb5
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 66306 W: 16825 L: 16440 D: 33041
Ptnml(0-2): 40, 7374, 17952, 7735, 52

closes https://github.com/official-stockfish/Stockfish/pull/5027

bench 1394701
2024-02-03 17:26:42 +01:00
FauziAkram 56b342f9b2 Simplify the extension formula
Simplify the extension formula in the case of cutNode by removing the depth condition and always setting extension to -2.

Passed STC:
LLR: 2.97 (-2.94,2.94) <-1.75,0.25>
Total: 277280 W: 70760 L: 70802 D: 135718
Ptnml(0-2): 971, 31775, 73153, 31807, 934
https://tests.stockfishchess.org/tests/view/65ad08f779aa8af82b979dd6

Passed LTC:
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 452976 W: 112992 L: 113215 D: 226769
Ptnml(0-2): 266, 51041, 124112, 50788, 281
https://tests.stockfishchess.org/tests/view/65ae466fc865510db026a760

closes https://github.com/official-stockfish/Stockfish/pull/5021

Bench: 1492957
2024-02-03 17:09:05 +01:00
Disservin 3cce4c4cf4 Add Apple Silicon Runners to CI
GitHub CI runners are available for macOS 14, these runners are using apple silicon chips (M1).
https://github.blog/changelog/2024-01-30-github-actions-introducing-the-new-m1-macos-runner-available-to-open-source/

closes https://github.com/official-stockfish/Stockfish/pull/5025

No functional change
2024-02-03 16:55:10 +01:00
Disservin 16afec0582 Refactor pv printing
Also fix the case which is currently printing depth 0.

fixes #5019
closes https://github.com/official-stockfish/Stockfish/pull/5020

No functional change
2024-02-03 16:50:31 +01:00
Disservin 13eb023fc0 Simplify array initializations
also retire a few std::memset calls.

Passed non-regresion STC:
https://tests.stockfishchess.org/tests/view/65b8e162c865510db0276901
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 97504 W: 25294 L: 25140 D: 47070
Ptnml(1-2): 378, 11102, 25667, 11198, 407

closes https://github.com/official-stockfish/Stockfish/pull/5018

No functional change
2024-02-03 16:43:23 +01:00
Viren6 fcbb02ffde Use ttPv in depth condition of singular extensions
This replaces the PvNode condition and tte Pv call previously with using
the precomputed ttPv, and also removes the multiplier of 2.  This new
depth condition occurs with approximately equal frequency (47%) to the
old depth condition (measured when the other conditions in the if are
true), so non-linear scaling behaviour isn't expected.

Passed Non-Reg STC:
https://tests.stockfishchess.org/tests/view/65b0e132c865510db026da27
LLR: 2.97 (-2.94,2.94) <-1.75,0.25>
Total: 243232 W: 62432 L: 62437 D: 118363
Ptnml(0-2): 910, 28937, 61900, 28986, 883

Passed Non-Reg LTC:
https://tests.stockfishchess.org/tests/view/65b2053bc865510db026eea1
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 190596 W: 47666 L: 47618 D: 95312
Ptnml(0-2): 115, 21710, 51596, 21766, 111

closes https://github.com/official-stockfish/Stockfish/pull/5015

Bench: 1492957
2024-01-26 21:15:07 +01:00
Ahmed Kerimov c17ec9524d Move OnChange callback in Option ctors
Parameter 'f' is passed by value and only copied once. Moving it to
avoid unnecessary copies.

closes https://github.com/official-stockfish/Stockfish/pull/5014

No functional change
2024-01-26 21:00:41 +01:00
Michael Chaly 37bd1e774e Do more double extensions
Parameter tweak from Black Marlin chess engine. Choose a significantly
lower value that triggers in 95% of cases, compared to the usual 84% in
standard benchmark runs.

Since the introduction by
https://github.com/official-stockfish/Stockfish/commit/33a858eaa1f792b3413384a3d0993dba36aca92e
this constant has only decreased in value over time.
2-16-17-18-21-22-25-26-52-71-75-93-140

Failed STC really fast:
https://tests.stockfishchess.org/tests/view/65b11d05c865510db026df7b
LLR: -2.94 (-2.94,2.94) <0.00,2.00>
Total: 13216 W: 3242 L: 3485 D: 6489
Ptnml(0-2): 50, 1682, 3371, 1471, 34

Was reasonable at LTC:

https://tests.stockfishchess.org/tests/view/65b13e20c865510db026e210
Elo: 1.18 ± 1.5 (95%) LOS: 94.3%
Total: 50000 W: 12517 L: 12347 D: 25136
Ptnml(0-2): 31, 5598, 13579, 5754, 38
nElo: 2.45 ± 3.0 (95%) PairsRatio: 1.03

Passed VLTC with STC bounds:
https://tests.stockfishchess.org/tests/view/65b18870c865510db026e769
LLR: 2.95 (-2.94,2.94) <0.00,2.00>
Total: 30456 W: 7726 L: 7448 D: 15282
Ptnml(0-2): 6, 3111, 8717, 3387, 7

Passed VVLTC with LTC bounds:
https://tests.stockfishchess.org/tests/view/65b20b95c865510db026eef0
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 36134 W: 9158 L: 8859 D: 18117
Ptnml(0-2): 3, 3455, 10850, 3758, 1

closes https://github.com/official-stockfish/Stockfish/pull/5013

Bench: 1503692
2024-01-26 20:55:16 +01:00
Disservin 1dfbde2d10 Move perft out of search
This splits the logic of search and perft. Before, threads were started,
which then constructed a search object, which then started perft and
returned immediately. All of this is unnecessary, instead uci should
start perft right away.

closes https://github.com/official-stockfish/Stockfish/pull/5008

No functional change
2024-01-26 20:52:26 +01:00
FauziAkram 3d49a99aaf Refactor history score calculation
Passed STC:
https://tests.stockfishchess.org/tests/view/65ad08b179aa8af82b979dd1
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 161376 W: 41582 L: 41498 D: 78296
Ptnml(0-2): 633, 19354, 40611, 19476, 614

Passed LTC:
https://tests.stockfishchess.org/tests/view/65af966fc865510db026c0f0
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 116526 W: 29269 L: 29143 D: 58114
Ptnml(0-2): 71, 13252, 31509, 13342, 89

closes https://github.com/official-stockfish/Stockfish/pull/5006

Bench: 1317504
2024-01-26 20:44:16 +01:00
FauziAkram 2b62c4452d Remove redundant max operation on lmrDepth
Removed a restriction that prohibited history heuristics sum in futility
pruning to exceed some negative value.

Passed STC:
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 279040 W: 71095 L: 71143 D: 136802
Ptnml(0-2): 949, 33574, 70474, 33622, 901
https://tests.stockfishchess.org/tests/view/65aaef4c79aa8af82b977631

Passed LTC:
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 75156 W: 18884 L: 18715 D: 37557
Ptnml(0-2): 52, 8445, 20408, 8628, 45
https://tests.stockfishchess.org/tests/view/65ae7ef3c865510db026abf5

closes https://github.com/official-stockfish/Stockfish/pull/5004

Bench: 1566543
2024-01-26 20:40:22 +01:00
Muzhen Gaming a6fd17f27d VLTC search tune
Search parameters were tuned using 152k games at 180+1.8.

Passed VLTC:
https://tests.stockfishchess.org/tests/view/65a7a81979aa8af82b973a20
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 117338 W: 29244 L: 28848 D: 59246
Ptnml(0-2): 24, 12474, 33267, 12890, 14

Passed VVLTC:
https://tests.stockfishchess.org/tests/view/65ab246679aa8af82b977982
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 28164 W: 7239 L: 6957 D: 13968
Ptnml(0-2): 3, 2651, 8490, 2937, 1

STC Elo estimate:
https://tests.stockfishchess.org/tests/view/65ac7c0979aa8af82b9792a6
Elo: -0.53 ± 2.0 (95%) LOS: 30.4%
Total: 30000 W: 7688 L: 7734 D: 14578
Ptnml(0-2): 102, 3617, 7614, 3559, 108
nElo: -1.03 ± 3.9 (95%) PairsRatio: 0.99

closes https://github.com/official-stockfish/Stockfish/pull/5003

Bench: 1235377
2024-01-21 12:49:30 +01:00
Robert Nurnberg @ elitebook a901474bf9 Update the WDL model
Update the internal WDL model. After the dual net merge, the internal
evaluations have drifted upwards a bit. With this PR
`NormalizeToPawnValue` changes from `328` to `345`.

The new model was fitted based on about 200M positions extracted from
3.4M fishtest LTC games from the last two weeks, involving SF versions
from 6deb88728f to current master.

Apart from the WDL model parameter update, this PR implements the
following changes:

WDL Model:
- an incorrect 8-move shift in master's WDL model has been fixed
- the polynomials `p_a` and `p_b` are fitted over the move range [8, 120]
- the coefficients for `p_a` and `p_b` are optimized by maximizing the
  probability of predicting the observed outcome (credits to @vondele)

SF code:
- for wdl values, move will be clamped to `max(8, min(120, move))`
- no longer clamp the internal eval to [-4000,4000]
- compute `NormalizeToPawnValue` with `round`, not `trunc`

The PR only affects displayed `cp` and `wdl` values.

closes https://github.com/official-stockfish/Stockfish/pull/5002

No functional change
2024-01-21 12:45:03 +01:00
Shahin M. Shahin ad9fcbc496 Refactor get_best_thread
Make get_best_thread function easier to understand.

Passed non-reg SMP STC:
https://tests.stockfishchess.org/tests/view/65a91c6679aa8af82b975500
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 186000 W: 46379 L: 46325 D: 93296
Ptnml(0-2): 269, 21374, 49634, 21480, 243

closes https://github.com/official-stockfish/Stockfish/pull/5001

No functional change
2024-01-21 12:42:28 +01:00
rn5f107s2 e860f620aa Reduce futility_margin further when improving
The idea of this is to unroll the futility_margin calculation to allow
for the improving flag to have a greater effect on the futility margin.
The current factor is 1.5 instead of the previous 1 resulting in a
deduction of an extra margin/2 from futilit_margin if improving. The
chosen value was not tuned, meaning that there is room for tweaking it.
This patch is partially inspired by @Vizvezdenec, who, although quite
different in execution, tested another idea where the futility_margin is
lowered further when improving [1].

[1]: (first take) https://tests.stockfishchess.org/tests/view/65a56b1879aa8af82b97164b

Passed STC:
https://tests.stockfishchess.org/tests/live_elo/65a8bfc179aa8af82b974e3c
LLR: 2.95 (-2.94,2.94) <0.00,2.00>
Total: 161152 W: 41321 L: 40816 D: 79015
Ptnml(0-2): 559, 19030, 40921, 19479, 587

Passed rebased LTC:
https://tests.stockfishchess.org/tests/live_elo/65a8b9ef79aa8af82b974dc0
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 96024 W: 24172 L: 23728 D: 48124
Ptnml(0-2): 56, 10598, 26275, 11012, 71

closes https://github.com/official-stockfish/Stockfish/pull/5000

Bench: 1281703
2024-01-21 12:42:07 +01:00
Viren6 aa15a9179b Refactor ttPv reduction conditions
closes https://github.com/official-stockfish/Stockfish/pull/4999

No functional change
2024-01-21 12:33:08 +01:00
Disservin 856e60d12f Refactor NativeThread start_routine
Removes the free function and fixes the formatting for the function
call.

closes https://github.com/official-stockfish/Stockfish/pull/4995

No functional change
2024-01-21 12:21:01 +01:00
Viren6 c8bc2ce4fa Improve ttPv reduction
This patch allows a partial reduction decrease when a node is likely to
fail low, and increases the reduction decrease when a node has failed
high.

Passed STC:
https://tests.stockfishchess.org/tests/view/65a626e779aa8af82b9722bc
LLR: 2.93 (-2.94,2.94) <0.00,2.00>
Total: 157824 W: 40332 L: 39835 D: 77657
Ptnml(0-2): 543, 18617, 40098, 19108, 546

Passed LTC:
https://tests.stockfishchess.org/tests/view/65a7290279aa8af82b97328a
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 57228 W: 14475 L: 14111 D: 28642
Ptnml(0-2): 34, 6278, 15633, 6628, 41

closes https://github.com/official-stockfish/Stockfish/pull/4994

Bench: 1364759
2024-01-17 18:56:37 +01:00
FauziAkram 9a9702d668 Remove threatenedByPawn from rook threat
Can be simplified away.

Passed STC:
https://tests.stockfishchess.org/tests/view/65a3fa4179aa8af82b96face
LLR: 2.92 (-2.94,2.94) <-1.75,0.25>
Total: 30592 W: 7903 L: 7674 D: 15015
Ptnml(0-2): 96, 3590, 7711, 3787, 112

Passed LTC:
https://tests.stockfishchess.org/tests/view/65a42b9a79aa8af82b96fe88
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 73656 W: 18382 L: 18212 D: 37062
Ptnml(0-2): 47, 8287, 19981, 8475, 38

closes https://github.com/official-stockfish/Stockfish/pull/4993

Bench: 1430061
2024-01-17 18:55:44 +01:00
pb00067 0fbad56c50 Refactor code for correcting unadjustedStaticEval
Passed non-regression STC:
https://tests.stockfishchess.org/tests/live_elo/65a4df6a79aa8af82b970ca0
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 43328 W: 11103 L: 10892 D: 21333
Ptnml(0-2): 120, 4920, 11407, 5063, 154

https://github.com/official-stockfish/Stockfish/pull/4992

No functional change
2024-01-17 18:51:03 +01:00
Torsten Hellwig 6c02329860 Fix dotprod detection
This fixes the detection of dotprod capable CPUs. Previously it looked
for the `dotprod` flag, but this does not exist
(https://git.kernel.org/pub/scm/linux/kernel/git/stable/linux.git/tree/arch/arm64/kernel/cpuinfo.c#n50).
The correct flag that specifies the dotprod capability is the `asimddp`
flag.

fixes #4931

closes https://github.com/official-stockfish/Stockfish/pull/4991

No functional change
2024-01-17 18:32:20 +01:00
Shahin M. Shahin 0c7f56dea6 Fix mated-in behaviour
This addresses the issue where Stockfish may output non-proven checkmate
scores if the search is prematurely halted, either due to a time control
or node limit, before it explores other possibilities where the
checkmate score could have been delayed or refuted.

The fix also replaces staving off from proven mated scores in a
multithread environment making use of the threads instead of a negative
effect with multithreads (1t was better in proving mated in scores than
more threads).

Issue reported on mate tracker repo by and this PR is co-authored with
@robertnurnberg Special thanks to @AndyGrant for outlining that a fix is
eventually possible.

Passed Adj off SMP STC:
https://tests.stockfishchess.org/tests/view/65a125d779aa8af82b96c3eb
LLR: 2.96 (-2.94,2.94) <-1.75,0.25>
Total: 303256 W: 75823 L: 75892 D: 151541
Ptnml(0-2): 406, 35269, 80395, 35104, 454

Passed Adj off SMP LTC:
https://tests.stockfishchess.org/tests/view/65a37add79aa8af82b96f0f7
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 56056 W: 13951 L: 13770 D: 28335
Ptnml(0-2): 11, 5910, 16002, 6097, 8

Passed all tests in matetrack without any better mate for opponent found in 1t and multithreads.

Fixed bugs in https://github.com/official-stockfish/Stockfish/pull/4976

closes https://github.com/official-stockfish/Stockfish/pull/4990

Bench: 1308279

Co-Authored-By: Robert Nürnberg <28635489+robertnurnberg@users.noreply.github.com>
2024-01-17 18:12:16 +01:00
Disservin f15e4f50aa Update installation guide links in CONTRIBUTING.md
Link to more user friendly installation guides, these are shorter and
easier to follow.

closes https://github.com/official-stockfish/Stockfish/pull/4985

No functional change
2024-01-17 18:06:20 +01:00
Disservin a5675f19d8 Remove global TB variables from search.cpp
Follow up cleanup of #4968, removes the global variables from search and
instead uses a dedicated tb config struct.

closes https://github.com/official-stockfish/Stockfish/pull/4982

No functional change
2024-01-17 18:05:00 +01:00
mstembera 32e46fc47f Remove some outdated SIMD functions
Since https://github.com/official-stockfish/Stockfish/pull/4391 the x2
SIMD functions no longer serve any useful purpose.

Passed non-regression STC:
https://tests.stockfishchess.org/tests/view/659cf42579aa8af82b966d55
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 67392 W: 17222 L: 17037 D: 33133
Ptnml(0-2): 207, 7668, 17762, 7851, 208

closes https://github.com/official-stockfish/Stockfish/pull/4974

No functional change
2024-01-17 18:04:29 +01:00
Disservin b5e8169a85 Add ignoreRevsFile to CONTRIBUTING.md
closes https://github.com/official-stockfish/Stockfish/pull/4980

No functional change
2024-01-14 10:46:13 +01:00
Disservin 88331add0d Remove the dependency on a Worker from evaluate
Also remove dead code, `rootSimpleEval` is no longer used since the introduction of dual net.
`iterBestValue` is also no longer used in evaluate and can be reduced to a local variable.

closes https://github.com/official-stockfish/Stockfish/pull/4979

No functional change
2024-01-14 10:46:13 +01:00
Disservin 12e97701b2 Fix UCI options
Fixes the type for 'Clear Hash' and uses MAX_MOVES for 'MultiPV' as we
had before.

No functional change
2024-01-14 10:46:13 +01:00
Disservin cf5b070913 Remove unused method
init() is no longer used, and was previously replaced by the clear
function.

fixes https://github.com/official-stockfish/Stockfish/issues/4981

No functional change
2024-01-14 00:30:06 +01:00
mstembera eec361f64c Simplify bad quiets
The main difference is that instead of returning the first bad quiet as
a good one we fall through. This is actually more correct and simpler
to implement.

Non regression STC:
https://tests.stockfishchess.org/tests/view/659bbb3479aa8af82b964ec7
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 150944 W: 38399 L: 38305 D: 74240
Ptnml(0-2): 485, 18042, 38298, 18188, 459

Non regression LTC:
https://tests.stockfishchess.org/tests/view/659c6e6279aa8af82b9660eb
LLR: 2.96 (-2.94,2.94) <-1.75,0.25>
Total: 192060 W: 47871 L: 47823 D: 96366
Ptnml(0-2): 144, 21912, 51845, 22010, 119

The cutoff is now -8K instead of -7.5K.
-7.5K failed. https://tests.stockfishchess.org/tests/view/659a1f4b79aa8af82b962a0e
This was likely a false negative.

closes https://github.com/official-stockfish/Stockfish/pull/4975

Bench: 1308279
2024-01-13 19:40:53 +01:00
FauziAkram 3372ee9c26 Remove threatenedByPawn term for queen threats
Passed STC:
https://tests.stockfishchess.org/tests/view/659d614c79aa8af82b9677d0
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 151776 W: 38690 L: 38597 D: 74489
Ptnml(0-2): 522, 17841, 39015, 18042, 468

Passed LTC:
https://tests.stockfishchess.org/tests/view/659d94d379aa8af82b967cb2
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 91908 W: 23075 L: 22924 D: 45909
Ptnml(0-2): 70, 10311, 25037, 10470, 66

closes https://github.com/official-stockfish/Stockfish/pull/4977

Bench: 1266493
2024-01-13 19:40:53 +01:00
Disservin a107910951 Refactor global variables
This aims to remove some of the annoying global structure which Stockfish has.

Overall there is no major elo regression to be expected.

Non regression SMP STC (paused, early version):
https://tests.stockfishchess.org/tests/view/65983d7979aa8af82b9608f1
LLR: 0.23 (-2.94,2.94) <-1.75,0.25>
Total: 76232 W: 19035 L: 19096 D: 38101
Ptnml(0-2): 92, 8735, 20515, 8690, 84

Non regression STC (early version):
https://tests.stockfishchess.org/tests/view/6595b3a479aa8af82b95da7f
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 185344 W: 47027 L: 46972 D: 91345
Ptnml(0-2): 571, 21285, 48943, 21264, 609

Non regression SMP STC:
https://tests.stockfishchess.org/tests/view/65a0715c79aa8af82b96b7e4
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 142936 W: 35761 L: 35662 D: 71513
Ptnml(0-2): 209, 16400, 38135, 16531, 193

These global structures/variables add hidden dependencies and allow data
to be mutable from where it shouldn't it be (i.e. options). They also
prevent Stockfish from internal selfplay, which would be a nice thing to
be able to do, i.e. instantiate two Stockfish instances and let them
play against each other. It will also allow us to make Stockfish a
library, which can be easier used on other platforms.

For consistency with the old search code, `thisThread` has been kept,
even though it is not strictly necessary anymore. This the first major
refactor of this kind (in recent time), and future changes are required,
to achieve the previously described goals. This includes cleaning up the
dependencies, transforming the network to be self contained and coming
up with a plan to deal with proper tablebase memory management (see
comments for more information on this).

The removal of these global structures has been discussed in parts with
Vondele and Sopel.

closes https://github.com/official-stockfish/Stockfish/pull/4968

No functional change
2024-01-13 19:40:53 +01:00
Linmiao Xu 6deb88728f Update default main net to nn-baff1edbea57.nnue
Created by retraining the previous main net nn-b1e55edbea57.nnue with:
- some of the same options as before: ranger21 optimizer, more WDL
  skipping
- adding T80 aug filter-v6, sep, and oct 2023 data to the previous best
  dataset
- increasing training loss for positions where predicted win rates were
  higher than estimated match results from training data position scores

```yaml
experiment-name: 2560--S8-r21-more-wdl-skip-10p-more-loss-high-q-sk28

training-dataset:
  # https://github.com/official-stockfish/Stockfish/pull/4782
  - /data/S6-1ee1aba5ed.binpack
  - /data/test80-aug2023-2tb7p.v6.min.binpack
  - /data/test80-sep2023-2tb7p.binpack
  - /data/test80-oct2023-2tb7p.binpack
early-fen-skipping: 28

start-from-engine-test-net: True
nnue-pytorch-branch: linrock/nnue-pytorch/r21-more-wdl-skip-10p-more-loss-high-q

num-epochs: 1000
lr: 4.375e-4
gamma: 0.995
start-lambda: 1.0
end-lambda: 0.7
```

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

Training loss was increased by 10% for positions where predicted win
rates were higher than suggested by the win rate model based on the
training data, by multiplying with: ((qf > pt) * 0.1 + 1). This was a
variant of experiments from Sopel's NNUE training & experimentation log:
https://docs.google.com/document/d/1gTlrr02qSNKiXNZ_SuO4-RjK4MXBiFlLE6jvNqqMkAY
Experiment 302 - increase loss when prediction too high, vondele’s idea
Experiment 309 - increase loss when prediction too high, normalize in a
batch

Passed STC:
https://tests.stockfishchess.org/tests/view/6597a21c79aa8af82b95fd5c
LLR: 2.93 (-2.94,2.94) <0.00,2.00>
Total: 148320 W: 37960 L: 37475 D: 72885
Ptnml(0-2): 542, 17565, 37383, 18206, 464

Passed LTC:
https://tests.stockfishchess.org/tests/view/659834a679aa8af82b960845
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 55188 W: 13955 L: 13592 D: 27641
Ptnml(0-2): 34, 6162, 14834, 6535, 29

closes https://github.com/official-stockfish/Stockfish/pull/4972

Bench: 1219824
2024-01-08 18:34:36 +01:00
Disservin 99cdb920fc Cleanup Evalfile handling
This cleans up the EvalFile handling after the merge of #4915,
which has become a bit confusing on what it is actually doing.

closes https://github.com/official-stockfish/Stockfish/pull/4971

No functional change
2024-01-08 18:33:38 +01:00
Disservin 7c5e3f2865 Prefix abs with std:: 2024-01-07 21:41:52 +01:00
Linmiao Xu f09adaa4a4 Update smallnet to nn-baff1ede1f90.nnue with wider eval range
Created by training an L1-128 net from scratch with a wider range of
evals in the training data and wld-fen-skipping disabled during
training. The differences in this training data compared to the first
dual nnue PR are:

- removal of all positions with 3 pieces
- when piece count >= 16, keep positions with simple eval above 750
- when piece count < 16, remove positions with simple eval above 3000

The asymmetric data filtering was meant to flatten the training data
piece count distribution, which was previously heavily skewed towards
positions with low piece counts.

Additionally, the simple eval range where the smallnet is used was
widened to cover more positions previously evaluated by the big net and
simple eval.

```yaml
experiment-name: 128--S1-hse-S7-v4-S3-v1-no-wld-skip

training-dataset:
  - /data/hse/S3/leela96-filt-v2.min.high-simple-eval-1k.binpack
  - /data/hse/S3/dfrc99-16tb7p-eval-filt-v2.min.high-simple-eval-1k.binpack
  - /data/hse/S3/test80-apr2022-16tb7p.min.high-simple-eval-1k.binpack

  - /data/hse/S7/test60-2020-2tb7p.v6-3072.high-simple-eval-v4.binpack
  - /data/hse/S7/test60-novdec2021-12tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-v4.binpack

  - /data/hse/S7/test77-nov2021-2tb7p.v6-3072.min.high-simple-eval-v4.binpack
  - /data/hse/S7/test77-dec2021-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-v4.binpack
  - /data/hse/S7/test77-jan2022-2tb7p.high-simple-eval-v4.binpack

  - /data/hse/S7/test78-jantomay2022-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-v4.binpack
  - /data/hse/S7/test78-juntosep2022-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-v4.binpack

  - /data/hse/S7/test79-apr2022-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-v4.binpack
  - /data/hse/S7/test79-may2022-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-v4.binpack

  - /data/hse/S7/test80-may2022-16tb7p.high-simple-eval-v4.binpack
  - /data/hse/S7/test80-jun2022-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-v4.binpack
  - /data/hse/S7/test80-jul2022-16tb7p.v6-dd.min.high-simple-eval-v4.binpack
  - /data/hse/S7/test80-aug2022-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-v4.binpack
  - /data/hse/S7/test80-sep2022-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-v4.binpack
  - /data/hse/S7/test80-oct2022-16tb7p.v6-dd.high-simple-eval-v4.binpack
  - /data/hse/S7/test80-nov2022-16tb7p-v6-dd.min.high-simple-eval-v4.binpack

  - /data/hse/S7/test80-jan2023-3of3-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-v4.binpack
  - /data/hse/S7/test80-feb2023-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-v4.binpack
  - /data/hse/S7/test80-mar2023-2tb7p.v6-sk16.min.high-simple-eval-v4.binpack
  - /data/hse/S7/test80-apr2023-2tb7p-filter-v6-sk16.min.high-simple-eval-v4.binpack
  - /data/hse/S7/test80-may2023-2tb7p.v6.min.high-simple-eval-v4.binpack
  - /data/hse/S7/test80-jun2023-2tb7p.v6-3072.min.high-simple-eval-v4.binpack
  - /data/hse/S7/test80-jul2023-2tb7p.v6-3072.min.high-simple-eval-v4.binpack
  - /data/hse/S7/test80-aug2023-2tb7p.v6.min.high-simple-eval-v4.binpack
  - /data/hse/S7/test80-sep2023-2tb7p.high-simple-eval-v4.binpack
  - /data/hse/S7/test80-oct2023-2tb7p.high-simple-eval-v4.binpack

wld-fen-skipping: False
start-from-engine-test-net: False

nnue-pytorch-branch: linrock/nnue-pytorch/L1-128
engine-test-branch: linrock/Stockfish/L1-128-nolazy
engine-base-branch: linrock/Stockfish/L1-128

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

Experiment yaml configs converted to easy_train.sh commands with:
https://github.com/linrock/nnue-tools/blob/4339954/yaml_easy_train.py

Binpacks interleaved at training time with:
https://github.com/official-stockfish/nnue-pytorch/pull/259

FT weights permuted with 10k positions from fishpack32.binpack with:
https://github.com/official-stockfish/nnue-pytorch/pull/254

Data filtered for high simple eval positions (v4) with:
https://github.com/linrock/Stockfish/blob/b9c8440/src/tools/transform.cpp#L640-L675

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

Local elo at 25k nodes per move of
L1-128 smallnet (nnue-only eval) vs. L1-128 trained on standard S1 data:
nn-epoch319.nnue : -241.7 +/- 3.2

Passed STC vs. 36db936:
https://tests.stockfishchess.org/tests/view/6576b3484d789acf40aabbfe
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 21920 W: 5680 L: 5381 D: 10859
Ptnml(0-2): 82, 2488, 5520, 2789, 81

Passed LTC vs. DualNNUE #4915:
https://tests.stockfishchess.org/tests/view/65775c034d789acf40aac7e3
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 147606 W: 36619 L: 36063 D: 74924
Ptnml(0-2): 98, 16591, 39891, 17103, 120

closes https://github.com/official-stockfish/Stockfish/pull/4919

Bench: 1438336
2024-01-07 21:20:15 +01:00
Linmiao Xu 584d9efedc Dual NNUE with L1-128 smallnet
Credit goes to @mstembera for:
- writing the code enabling dual NNUE:
  https://github.com/official-stockfish/Stockfish/pull/4898
- the idea of trying L1-128 trained exclusively on high simple eval
  positions

The L1-128 smallnet is:
- epoch 399 of a single-stage training from scratch
- trained only on positions from filtered data with high material
  difference
  - defined by abs(simple_eval) > 1000

```yaml
experiment-name: 128--S1-only-hse-v2

training-dataset:
  - /data/hse/S3/dfrc99-16tb7p-eval-filt-v2.min.high-simple-eval-1k.binpack
  - /data/hse/S3/leela96-filt-v2.min.high-simple-eval-1k.binpack
  - /data/hse/S3/test80-apr2022-16tb7p.min.high-simple-eval-1k.binpack

  - /data/hse/S7/test60-2020-2tb7p.v6-3072.high-simple-eval-1k.binpack
  - /data/hse/S7/test60-novdec2021-12tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-1k.binpack

  - /data/hse/S7/test77-nov2021-2tb7p.v6-3072.min.high-simple-eval-1k.binpack
  - /data/hse/S7/test77-dec2021-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-1k.binpack
  - /data/hse/S7/test77-jan2022-2tb7p.high-simple-eval-1k.binpack

  - /data/hse/S7/test78-jantomay2022-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-1k.binpack
  - /data/hse/S7/test78-juntosep2022-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-1k.binpack

  - /data/hse/S7/test79-apr2022-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-1k.binpack
  - /data/hse/S7/test79-may2022-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-1k.binpack

  # T80 2022
  - /data/hse/S7/test80-may2022-16tb7p.high-simple-eval-1k.binpack
  - /data/hse/S7/test80-jun2022-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-1k.binpack
  - /data/hse/S7/test80-jul2022-16tb7p.v6-dd.min.high-simple-eval-1k.binpack
  - /data/hse/S7/test80-aug2022-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-1k.binpack
  - /data/hse/S7/test80-sep2022-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-1k.binpack
  - /data/hse/S7/test80-oct2022-16tb7p.v6-dd.high-simple-eval-1k.binpack
  - /data/hse/S7/test80-nov2022-16tb7p-v6-dd.min.high-simple-eval-1k.binpack

  # T80 2023
  - /data/hse/S7/test80-jan2023-3of3-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-1k.binpack
  - /data/hse/S7/test80-feb2023-16tb7p-filter-v6-dd.min-mar2023.unmin.high-simple-eval-1k.binpack
  - /data/hse/S7/test80-mar2023-2tb7p.v6-sk16.min.high-simple-eval-1k.binpack
  - /data/hse/S7/test80-apr2023-2tb7p-filter-v6-sk16.min.high-simple-eval-1k.binpack
  - /data/hse/S7/test80-may2023-2tb7p.v6.min.high-simple-eval-1k.binpack
  - /data/hse/S7/test80-jun2023-2tb7p.v6-3072.min.high-simple-eval-1k.binpack
  - /data/hse/S7/test80-jul2023-2tb7p.v6-3072.min.high-simple-eval-1k.binpack
  - /data/hse/S7/test80-aug2023-2tb7p.v6.min.high-simple-eval-1k.binpack
  - /data/hse/S7/test80-sep2023-2tb7p.high-simple-eval-1k.binpack
  - /data/hse/S7/test80-oct2023-2tb7p.high-simple-eval-1k.binpack

start-from-engine-test-net: False

nnue-pytorch-branch: linrock/nnue-pytorch/L1-128
engine-test-branch: linrock/Stockfish/L1-128-nolazy
engine-base-branch: linrock/Stockfish/L1-128

num-epochs: 500
lambda: 1.0
```

Experiment yaml configs converted to easy_train.sh commands with:
https://github.com/linrock/nnue-tools/blob/4339954/yaml_easy_train.py

Binpacks interleaved at training time with:
https://github.com/official-stockfish/nnue-pytorch/pull/259

Data filtered for high simple eval positions with:
https://github.com/linrock/nnue-data/blob/32d6a68/filter_high_simple_eval_plain.py
https://github.com/linrock/Stockfish/blob/61dbfe/src/tools/transform.cpp#L626-L655

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

Local elo at 25k nodes per move of
L1-128 smallnet (nnue-only eval) vs. L1-128 trained on standard S1 data:
nn-epoch399.nnue : -318.1 +/- 2.1

Passed STC:
https://tests.stockfishchess.org/tests/view/6574cb9d95ea6ba1fcd49e3b
LLR: 2.93 (-2.94,2.94) <0.00,2.00>
Total: 62432 W: 15875 L: 15521 D: 31036
Ptnml(0-2): 177, 7331, 15872, 7633, 203

Passed LTC:
https://tests.stockfishchess.org/tests/view/6575da2d4d789acf40aaac6e
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 64830 W: 16118 L: 15738 D: 32974
Ptnml(0-2): 43, 7129, 17697, 7497, 49

closes https://github.com/official-stockfish/Stockfish/pulls

Bench: 1330050

Co-Authored-By: mstembera <5421953+mstembera@users.noreply.github.com>
2024-01-07 21:15:52 +01:00
mstembera a5a76a6370 Introduce BAD_QUIET movepicker stage
Split quiets into good and bad as we do with captures. When we find
the first quiet move below a certain threshold that has been sorted we
consider all subsequent quiets bad.  Inspired by @locutus2 idea to skip
bad captures.

Passed STC:
https://tests.stockfishchess.org/tests/view/6597759f79aa8af82b95fa17
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 138688 W: 35566 L: 35096 D: 68026
Ptnml(0-2): 476, 16367, 35183, 16847, 471

Passed LTC:
https://tests.stockfishchess.org/tests/view/6598583c79aa8af82b960ad0
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 84108 W: 21468 L: 21048 D: 41592
Ptnml(0-2): 38, 9355, 22858, 9755, 48

closes https://github.com/official-stockfish/Stockfish/pull/4970

Bench: 1336907
2024-01-07 13:41:50 +01:00
Disservin 19f9a197be Add .git-blame-ignore-revs
Add a `.git-blame-ignore-revs` file which can be used to skip specified
commits when blaming, this is useful to ignore formatting commits, like
clang-format #4790.

Github blame automatically supports this file format, as well as other
third party tools. Git itself needs to be told about the file name to
work, the following command will add it to the current git repo. `git
config blame.ignoreRevsFile .git-blame-ignore-revs`, alternatively one
has to specify it with every blame. `git blame --ignore-revs-file
.git-blame-ignore-revs search.cpp`

Supported since git 2.23.

closes https://github.com/official-stockfish/Stockfish/pull/4969

No functional change
2024-01-07 13:38:55 +01:00
Michael Chaly 6f9071c643 Tweak usage of correction history
Instead of using linear formula use quadratic one. Maximum impact of
correction history is doubled this way, it breaks even with previous
formula on half of maximum value.

Passed STC:
https://tests.stockfishchess.org/tests/view/659591e579aa8af82b95d7e8
LLR: 2.93 (-2.94,2.94) <0.00,2.00>
Total: 225216 W: 57616 L: 57019 D: 110581
Ptnml(0-2): 747, 26677, 57201, 27198, 785

Passed LTC:
https://tests.stockfishchess.org/tests/view/6596ee0b79aa8af82b95f08a
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 73314 W: 18524 L: 18125 D: 36665
Ptnml(0-2): 41, 8159, 19875, 8524, 58

closes https://github.com/official-stockfish/Stockfish/pull/4967

Bench: 1464785
2024-01-07 13:37:28 +01:00
Miguel Lahoz a5f7386efb Remove unneeded operator overload macros
Only Direction type is using two of the enable overload macros.
Aside from this, only two of the overloads are even being used.

Therefore, we can just define the needed overloads and remove the macros.

closes https://github.com/official-stockfish/Stockfish/pull/4966

No functional change.
2024-01-07 13:37:12 +01:00
FauziAkram 8b4583bce7 Remove redundant int cast
Remove a redundant int cast in the calculation of fwdOut. The variable
OutputType is already defined as std::int32_t, which is an integer type, making
the cast unnecessary.

closes https://github.com/official-stockfish/Stockfish/pull/4961

No functional change
2024-01-04 15:56:53 +01:00
Disservin b987d4f033 Use type aliases instead of enums for Value types
The primary rationale behind this lies in the fact that enums were not
originally designed to be employed in the manner we currently utilize them.

The Value enum was used like a type alias throughout the code and was often
misused. Furthermore, changing the underlying size of the enum to int16_t broke
everything, mostly because of the operator overloads for the Value enum, were
causing data to be truncated. Since Value is now a type alias, the operator
overloads are no longer required.

Passed Non-Regression STC:
https://tests.stockfishchess.org/tests/view/6593b8bb79aa8af82b95b401
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 235296 W: 59919 L: 59917 D: 115460
Ptnml(0-2): 743, 27085, 62054, 26959, 807

closes https://github.com/official-stockfish/Stockfish/pull/4960

No functional change
2024-01-04 15:54:23 +01:00
RainRat 4930892985 Fix typo in tbprobe.cpp
closes https://github.com/official-stockfish/Stockfish/pull/4959

No functional change
2024-01-04 15:51:56 +01:00
Disservin cafbe8e8e8 Change the Move enum to a class
This changes the Move enum to a class, this way
all move related functions can be moved into the class
and be more self contained.

closes https://github.com/official-stockfish/Stockfish/pull/4958

No functional change
2024-01-04 15:51:04 +01:00
Viren6 28f8663f39 Modify ttPV reduction
This patch modifies ttPV reduction by reducing 1 more unless ttValue is above alpha.

Inspired from @pb00068 https://tests.stockfishchess.org/tests/view/658060796a3b4f6202215f1f

Passed STC:
https://tests.stockfishchess.org/tests/view/6591867679aa8af82b958328
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 37856 W: 9727 L: 9407 D: 18722
Ptnml(0-2): 99, 4444, 9568, 4672, 145

Passed LTC:
https://tests.stockfishchess.org/tests/view/6591d9b679aa8af82b958a6c
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 128256 W: 32152 L: 31639 D: 64465
Ptnml(0-2): 64, 14364, 34772, 14851, 77

closes https://github.com/official-stockfish/Stockfish/pull/4957

Bench: 1176235
2024-01-04 15:49:33 +01:00
FauziAkram 5546bc0a26 Simplification of partial_insertion_sort formula.
Passed STC:
https://tests.stockfishchess.org/tests/view/6590110879aa8af82b9562e9
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 134880 W: 34468 L: 34355 D: 66057
Ptnml(0-2): 476, 16060, 34220, 16243, 441

Passed LTC:
https://tests.stockfishchess.org/tests/view/659156ca79aa8af82b957f07
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 60780 W: 15179 L: 14996 D: 30605
Ptnml(0-2): 27, 6847, 16464, 7020, 32

closes https://github.com/official-stockfish/Stockfish/pull/4955

Bench: 1338331
2024-01-04 15:47:37 +01:00
Disservin 444f03ee95 Update copyright year
closes https://github.com/official-stockfish/Stockfish/pull/4954

No functional change
2024-01-04 15:47:10 +01:00
Disservin a25f48a236 Silence security alert warning about possible infinite loop
As some have noticed, a security alert has been complaining about a for loop in
our TB code for quite some now. Though it was never a real issue, so not of high
importance.

A few lines earlier the symlen vector is resized
`d->symlen.resize(number<uint16_t, LittleEndian>(data));` while this code seems
odd at first, it resizes the array to at most (2 << 16) - 1 elements, basically
making the infinite loop issue impossible to occur.

closes https://github.com/official-stockfish/Stockfish/pull/4953

No functional change
2024-01-04 15:45:33 +01:00
Joseph Huang 154abb337e Lower MultiPV max to MAX_MOVES
Link max value of MultiPV to that of MAX_MOVES which is 256

closes https://github.com/official-stockfish/Stockfish/pull/4951

No functional change
2024-01-04 15:45:03 +01:00
Disservin 0fca5605fa Fix formatting in search.cpp
fixes the formatting for 1fe562fdf3
2024-01-01 02:31:25 +01:00
Stefan Geschwentner 3cfaef7431 Tweak static eval history update
Modify the applied static eval bonus for main and pawn history with different
factors for positive and negative values.

Passed STC:
https://tests.stockfishchess.org/tests/view/659132e179aa8af82b957bb0
LLR: 2.93 (-2.94,2.94) <0.00,2.00>
Total: 12512 W: 3308 L: 3027 D: 6177
Ptnml(0-2): 32, 1372, 3189, 1609, 54

Passed LTC:
https://tests.stockfishchess.org/tests/view/65913e3d79aa8af82b957cd2
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 35946 W: 9128 L: 8809 D: 18009
Ptnml(0-2): 19, 3879, 9862, 4190, 23

closes https://github.com/official-stockfish/Stockfish/pull/4952

Bench: 1392883
2023-12-31 20:09:09 +01:00
Michael Chaly b4d995d0d9 Introduce static evaluation correction history
Idea from Caissa (https://github.com/Witek902/Caissa) chess engine.

With given pawn structure collect data with how often search result and by how
much it was better / worse than static evalution of position and use it to
adjust static evaluation of positions with given pawn structure. Details:

1. excludes positions with fail highs and moves producing it being a capture;
2. update value is function of not only difference between best value and static
   evaluation but also is multiplied by linear function of depth;
3. maximum update value is maximum value of correction history divided by 2;
4. correction history itself is divided by 32 when applied so maximum value of
   static evaluation adjustment is 32 internal units.

Passed STC:
https://tests.stockfishchess.org/tests/view/658fc7b679aa8af82b955cac
LLR: 2.96 (-2.94,2.94) <0.00,2.00>
Total: 128672 W: 32757 L: 32299 D: 63616
Ptnml(0-2): 441, 15241, 32543, 15641, 470

Passed LTC:
https://tests.stockfishchess.org/tests/view/65903f6979aa8af82b9566f1
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 97422 W: 24626 L: 24178 D: 48618
Ptnml(0-2): 41, 10837, 26527, 11245, 61

closes https://github.com/official-stockfish/Stockfish/pull/4950

Bench: 1157852
2023-12-31 20:00:06 +01:00
FauziAkram 4ff297a6df Mark square_bb() as constexpr
closes https://github.com/official-stockfish/Stockfish/pull/4949

No functional change
2023-12-31 19:58:10 +01:00
FauziAkram 1fe562fdf3 Simplify the improving flag calculation
Passed STC:
https://tests.stockfishchess.org/tests/view/658ec29979aa8af82b9547f6
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 93408 W: 23747 L: 23587 D: 46074
Ptnml(0-2): 340, 11178, 23527, 11300, 359

Passed LTC:
https://tests.stockfishchess.org/tests/view/658f73e479aa8af82b9555b6
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 64026 W: 15984 L: 15806 D: 32236
Ptnml(0-2): 31, 7113, 17552, 7281, 36

closes https://github.com/official-stockfish/Stockfish/pull/4948

Bench: 1143749
2023-12-31 19:57:34 +01:00
FauziAkram 833a2e2bc0 Cleanup comments
Tests used to derive some Elo worth comments:
https://tests.stockfishchess.org/tests/view/656a7f4e136acbc573555a31
https://tests.stockfishchess.org/tests/view/6585fb455457644dc984620f

closes https://github.com/official-stockfish/Stockfish/pull/4945

No functional change
2023-12-31 19:54:27 +01:00
Tobias Steinmann 4f99dfcae2 Update Makefile for android x86-64 builds
For developing an Android GUI it can be helpful to use the Emulator on Windows.
Therefor an android_x86-64 library of Stockfish is needed. It would be nice to
compile it "out-of-the-box".

This change is originally suggested by Craftyawesome

closes https://github.com/official-stockfish/Stockfish/pull/4927

No functional change
2023-12-31 19:51:04 +01:00
Shahin M. Shahin 1a69efbb40 Fix scores from reverse futility pruning
This fixes futility pruning return values after recent tweaks, `eval` is
guaranteed to be less than the mate-in range but it can be as low value such
that the average between eval and beta can still fall in the mated-in range when
beta is as low in mated range. i.e. (eval + beta) / 2 being at mated-range which
can break mates.

Passed non-regression STC:
https://tests.stockfishchess.org/tests/view/658f3eed79aa8af82b955139
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 117408 W: 29891 L: 29761 D: 57756
Ptnml(0-2): 386, 13355, 31120, 13429, 414

Passed non-regression LTC:
https://tests.stockfishchess.org/tests/view/658f8b7a79aa8af82b9557bd
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 60240 W: 14962 L: 14786 D: 30492
Ptnml(0-2): 22, 6257, 17390, 6425, 26

changes signature at higher depth e.g. `128 1 15`

closes https://github.com/official-stockfish/Stockfish/pull/4944

Bench: 1304666
2023-12-30 12:19:48 +01:00
Linmiao Xu f12035c88c Update default net to nn-b1e55edbea57.nnue
Created by retraining the master big net `nn-0000000000a0.nnue` on the same
dataset with the ranger21 optimizer and more WDL skipping at training time.

More WDL skipping is meant to increase lambda accuracy and train on fewer
misevaluated positions where position scores are unlikely to correlate
with game outcomes. Inspired by:
- repeated reports in discord #events-discuss about SF misplaying due to wrong endgame
  evals, possibly due to Leela's endgame weaknesses reflected in training data
- an attempt to reduce the skewed dataset piece count distribution where there
  are much more positions with less than 16 pieces, since the target piece count
  distribution in the trainer is symmetric around 16

The faster convergence seen with ranger21 is meant to:
- prune experiment ideas more quickly since fewer epochs are needed to reach elo maxima
- research faster potential trainings by shortening each run

```yaml
experiment-name: 2560-S7-Re-514G-ranger21-more-wdl-skip
training-dataset: /data/S6-514G.binpack
early-fen-skipping: 28

start-from-engine-test-net: True
nnue-pytorch-branch: linrock/nnue-pytorch/r21-more-wdl-skip

num-epochs: 1200
lr: 4.375e-4
gamma: 0.995
start-lambda: 1.0
end-lambda: 0.7
```

Experiment yaml configs converted to easy_train.sh commands with:
https://github.com/linrock/nnue-tools/blob/4339954/yaml_easy_train.py

Implementations based off of Sopel's NNUE training & experimentation log:
https://docs.google.com/document/d/1gTlrr02qSNKiXNZ_SuO4-RjK4MXBiFlLE6jvNqqMkAY
- Experiment 336 - ranger21 https://github.com/Sopel97/nnue-pytorch/tree/experiment_336
- Experiment 351 - more WDL skipping

The version of the ranger21 optimizer used is:
https://github.com/lessw2020/Ranger21/blob/b507df6/ranger21/ranger21.py

The dataset is the exact same as in:
https://github.com/official-stockfish/Stockfish/pull/4782

Local elo at 25k nodes per move:
nn-epoch619.nnue : 6.2 +/- 4.2

Passed STC:
https://tests.stockfishchess.org/tests/view/658a029779aa8af82b94fbe6
LLR: 2.93 (-2.94,2.94) <0.00,2.00>
Total: 46528 W: 11985 L: 11650 D: 22893
Ptnml(0-2): 154, 5489, 11688, 5734, 199

Passed LTC:
https://tests.stockfishchess.org/tests/view/658a448979aa8af82b95010f
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 265326 W: 66378 L: 65574 D: 133374
Ptnml(0-2): 153, 30175, 71254, 30877, 204

This was additionally tested with the latest DualNNUE and passed SPRTs:

Passed STC vs. https://github.com/official-stockfish/Stockfish/pull/4919
https://tests.stockfishchess.org/tests/view/658bcd5c79aa8af82b951846
LLR: 2.93 (-2.94,2.94) <0.00,2.00>
Total: 296128 W: 76273 L: 75554 D: 144301
Ptnml(0-2): 1223, 35768, 73617, 35979, 1477

Passed LTC vs. https://github.com/official-stockfish/Stockfish/pull/4919
https://tests.stockfishchess.org/tests/view/658c988d79aa8af82b95240f
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 75618 W: 19085 L: 18680 D: 37853
Ptnml(0-2): 45, 8420, 20497, 8779, 68

closes https://github.com/official-stockfish/Stockfish/pull/4942

Bench: 1304666
2023-12-30 11:08:03 +01:00
FauziAkram bab1cc300c Refactor bestvalue adjustment in qsearch
closes https://github.com/official-stockfish/Stockfish/pull/4935

No functional change
2023-12-30 11:05:19 +01:00
Michael Chaly f388e41809 Adjust value returned after TT cutoff
Instead of returning value from TT in case of a fail high return mix between it
and beta.

Passed STC:
https://tests.stockfishchess.org/tests/view/658465395457644dc98446c7
LLR: 2.93 (-2.94,2.94) <0.00,2.00>
Total: 220704 W: 56404 L: 55811 D: 108489
Ptnml(0-2): 750, 26214, 55921, 26627, 840

Passed LTC:
https://tests.stockfishchess.org/tests/view/6585c3f55457644dc9845db9
LLR: 2.97 (-2.94,2.94) <0.50,2.50>
Total: 124980 W: 31169 L: 30658 D: 63153
Ptnml(0-2): 57, 14147, 33603, 14594, 89

closes https://github.com/official-stockfish/Stockfish/pull/4934

Bench: 1191093
2023-12-30 11:01:32 +01:00
peregrineshahin 3f5adc037e Fix wrong mate/tb scores from probCut
This fixes returning wrong mated-in scores, or losing a proven mate-in score
from probCut after recent tweaks. The issue reported by @cj5716 on discord.

Passed non-reg STC:
https://tests.stockfishchess.org/tests/view/6583c36b5457644dc9843afe
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 295936 W: 75011 L: 75075 D: 145850
Ptnml(0-2): 978, 33947, 78146, 33955, 942

Passed non-reg LTC:
https://tests.stockfishchess.org/tests/view/658513075457644dc98451cd
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 55932 W: 13970 L: 13786 D: 28176
Ptnml(0-2): 33, 5933, 15837, 6143, 20

closes https://github.com/official-stockfish/Stockfish/pull/4933

Bench: 1308739
2023-12-30 10:57:48 +01:00
FauziAkram fbdf5d94a9 Tweak quiet move bonus
Improving quiet move bonus by replacing bestvalue and alpha comparison, with
checking the statScore of the previous search step instead.

Inspired by @locutus2

Passed STC:
https://tests.stockfishchess.org/tests/view/657f22fb893104ee25b614e8
LLR: 2.96 (-2.94,2.94) <0.00,2.00>
Total: 51296 W: 13121 L: 12774 D: 25401
Ptnml(0-2): 225, 5986, 12868, 6355, 214

Passed LTC:
https://tests.stockfishchess.org/tests/view/658024a2893104ee25b62587
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 82758 W: 20606 L: 20189 D: 41963
Ptnml(0-2): 51, 9149, 22555, 9580, 44

closes https://github.com/official-stockfish/Stockfish/pull/4930

Bench: 1312822
2023-12-22 11:51:08 +01:00
Disservin 358a853790 Revert "Adjust stand pat in qsearch on pv nodes"
This reverts commit d9ec82e743.

Bench: 1249544
2023-12-22 11:48:43 +01:00
Michael Chaly 9be0360aa4 Adjust return value in qsearch after fail high
Instead of returning strict fail soft fail high return value between value from
search and beta (somewhat by analogy to futility pruning and probcut).

This seems to be somewhat depth sensitive heuristic which performed much worse
at LTC while performing much better at STC if it is more aggressive, passed
version is the least aggressive one.

Passed STC:
https://tests.stockfishchess.org/tests/view/657b06414d789acf40ab1475
LLR: 2.95 (-2.94,2.94) <0.00,2.00>
Total: 212352 W: 53900 L: 53315 D: 105137
Ptnml(0-2): 809, 25236, 53520, 25783, 828

Passed LTC:
https://tests.stockfishchess.org/tests/view/657ce36f393ac02e79120a7c
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 319362 W: 79541 L: 78630 D: 161191
Ptnml(0-2): 202, 35839, 86709, 36708, 223

closes https://github.com/official-stockfish/Stockfish/pull/4928

Bench: 974739
2023-12-19 18:22:10 +01:00
FauziAkram a069a1bbbf Use std::abs over abs
closes https://github.com/official-stockfish/Stockfish/pull/4926
closes https://github.com/official-stockfish/Stockfish/pull/4909

No functional change

Co-Authored-By: fffelix-huang <72808219+fffelix-huang@users.noreply.github.com>
2023-12-19 18:22:10 +01:00
FauziAkram 07a2619b62 Improvement of Time Management Parameters
Passed STC:
https://tests.stockfishchess.org/tests/view/6579c5574d789acf40aaf914
LLR: 2.93 (-2.94,2.94) <0.00,2.00>
Total: 44672 W: 11354 L: 11030 D: 22288
Ptnml(0-2): 140, 5033, 11685, 5319, 159

Passed LTC:
https://tests.stockfishchess.org/tests/view/657ad7f44d789acf40ab105e
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 40932 W: 10275 L: 9950 D: 20707
Ptnml(0-2): 21, 4316, 11473, 4629, 27

Passed non-regression Sudden death 10+0:
https://tests.stockfishchess.org/tests/view/657b9b9e393ac02e7911f1a8
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 21384 W: 5171 L: 4925 D: 11288
Ptnml(0-2): 112, 2420, 5409, 2612, 139

closes https://github.com/official-stockfish/Stockfish/pull/4923

No functional change
2023-12-19 18:22:10 +01:00
Michael Chaly d9ec82e743 Adjust stand pat in qsearch on pv nodes
Instead of immediately returning a fail high do this only at non-pv nodes, for
pv nodes adjust bestValue to value between alpha and beta and continue
searching. Idea is to do it the same way as it's done in search where we don't
return positive beta cutoffs after ttHits / zero window search at PvNodes and
instead fully search lines.

Passed STC:
https://tests.stockfishchess.org/tests/view/65739b0af09ce1261f122f33
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 189216 W: 48142 L: 47598 D: 93476
Ptnml(0-2): 584, 22463, 48051, 22845, 665

Passed LTC:
https://tests.stockfishchess.org/tests/view/657701214d789acf40aac194
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 82506 W: 20689 L: 20269 D: 41548
Ptnml(0-2): 56, 9236, 22268, 9618, 75

Two issues had to be resolved:
    - in rare cases it set alpha to the same value as beta and thus broke some asserts;
    - messed up with returning tb win values.

      Fix passed non-regression LTC vs this patch:
      https://tests.stockfishchess.org/tests/view/6578113b4d789acf40aad544
      LLR: 2.96 (-2.94,2.94) <-1.75,0.25>
      Total: 277308 W: 68839 L: 68880 D: 139589
      Ptnml(0-2): 167, 31580, 75212, 31517, 178

closes https://github.com/official-stockfish/Stockfish/pull/4922

Bench: 1069503

Co-Authored-By: Muzhen Gaming <61100393+XInTheDark@users.noreply.github.com>
Co-Authored-By: Shahin M. Shahin <41402573+peregrineshahin@users.noreply.github.com>
Co-Authored-By: fffelix-huang <72808219+fffelix-huang@users.noreply.github.com>
2023-12-19 18:22:10 +01:00
Muzhen Gaming c53d2ec253 Remove UCI_AnalyseMode Option
Simplify away the useless option, as documented: "An option handled by your GUI.
This currently doesn't do anything."

The option was originally added with the introduction of contempt
(https://github.com/official-stockfish/Stockfish/commit/e9aeaad05266ca557a9496b5a17b4c5f82f0e946),
but it is now no longer used.

closes https://github.com/official-stockfish/Stockfish/pull/4918

No functional change
2023-12-14 18:50:51 +01:00
FauziAkram 536d692a30 Remove SlowMover Option
The SlowMover option allows users to modify the timeLeft variant, impacting the
engine's time management. However, this feature, while theoretically flexible,
doesn't offer substantial benefits. Instead, it introduces the risk of
non-experienced users altering values without a clear understanding of the
effects, potentially leading to a weaker engine.

The vast majority of SF users don't use it anyway, and based on tests conducted
by fauzi several months ago suggest that changing it would only lose Elo.

Examples:
https://tests.stockfishchess.org/tests/view/651f309bac57711436726bba
https://tests.stockfishchess.org/tests/view/651fea29ac57711436727d85
https://tests.stockfishchess.org/tests/view/65257c343125598fc7eb68a1
https://tests.stockfishchess.org/tests/view/652296c83125598fc7eb2ad7
Tune:
https://tests.stockfishchess.org/tests/view/652a70313125598fc7ebd706
(keeping the value at 100, zz2)

closes https://github.com/official-stockfish/Stockfish/pull/4917

No functional change
2023-12-14 18:44:46 +01:00
Disservin 9fc064e872 Fix action deprecation warning for dev-drprasad
closes https://github.com/official-stockfish/Stockfish/pull/4914

No functional change
2023-12-14 18:43:02 +01:00
WangXiang cdfafb3426 Add loongarch64 support
Adding support for LoongArch64 architecture. Tested on Loongson 3A6000 EVB
Board. Since Loongson's SIMD extended instruction set
([LSX](https://gcc.gnu.org/onlinedocs/gcc/LoongArch-SX-Vector-Intrinsics.html),
[LASX](https://gcc.gnu.org/onlinedocs/gcc/LoongArch-ASX-Vector-Intrinsics.html))
is already supported by GCC, more optimizations are being developed.

Here's the benchmark result for Loongson 3A6000 (4c8t, 2.5Ghz) without SIMD
optimizations.
```
Total time (ms) : 17903
Nodes searched  : 1244386
Nodes/second    : 69507
```

closes https://github.com/official-stockfish/Stockfish/pull/4913

No functional change
2023-12-14 18:41:53 +01:00
peregrineshahin 7885fa5bd3 Track seldepth in qsearch too
Sometimes if we count the reported PV length, it turns out to be longer than the
selective depth reported. This fixes this behavior by applying the selective
depth to qsearch since we do report PVs from it as well.

Passed non-regression STC:
https://tests.stockfishchess.org/tests/view/656cf5b66980e15f69c7499d
LLR: 2.96 (-2.94,2.94) <-1.75,0.25>
Total: 223648 W: 56372 L: 56356 D: 110920
Ptnml(0-2): 710, 25580, 59231, 25590, 713

closes https://github.com/official-stockfish/Stockfish/pull/4903

No functional change
2023-12-14 18:36:45 +01:00
Shahin M. Shahin 282e15bf75 Fix TB score output in UCI without using TB
This is a rewrite of the fix introduced for
https://github.com/official-stockfish/Stockfish/issues/4413 in
https://github.com/official-stockfish/Stockfish/pull/4591 by @windfishballad it
targets only the relevant part of this issue that returns TB scores (CP 20000)
without using TB due to the downgrading of potentially false mates from the TT
to an optimal TB score.

the difference is that it is a much clearer code that introduces a separate
TB_VALUE constant to account for a correct distance from the TB_VALUE with
MAX_PLY.

the originally posted position in the issue does not trigger the problem
anymore, so here is a new position to test:
```
position fen 3k4/8/8/8/8/8/3BN3/3K4 w - - 0 1
go infinite
```

Passed non-regression STC:
https://tests.stockfishchess.org/tests/view/65578994136acbc57353b258
LLR: 2.96 (-2.94,2.94) <-1.75,0.25>
Total: 119264 W: 29993 L: 29863 D: 59408
Ptnml(0-2): 372, 13692, 31379, 13812, 377

Passed non-regression LTC:
https://tests.stockfishchess.org/tests/view/6558323f136acbc57353c1ca
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 237834 W: 58791 L: 58792 D: 120251
Ptnml(0-2): 193, 26200, 66111, 26241, 172

fixes https://github.com/official-stockfish/Stockfish/issues/4413
closes https://github.com/official-stockfish/Stockfish/pull/4591
closes https://github.com/official-stockfish/Stockfish/pull/4882

Bench: 1305821
2023-12-14 18:35:38 +01:00
Muzhen Gaming 36db936e76 VLTC Search parameters tune
The SPSA tuning was done for 44k games at 120+1.2.
https://tests.stockfishchess.org/tests/view/656ee2a76980e15f69c7767f.

Note that the tune was originally done in combination with the recent dual NNUE
idea (see #4910).

VLTC:
https://tests.stockfishchess.org/tests/view/65731ccbf09ce1261f12246e
LLR: 2.95 (-2.94,2.94) <0.00,2.00>
Total: 52806 W: 13069 L: 12760 D: 26977
Ptnml(0-2): 19, 5498, 15056, 5815, 15

VLTC SMP:
https://tests.stockfishchess.org/tests/view/65740ffaf09ce1261f1239ba
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 27630 W: 6934 L: 6651 D: 14045
Ptnml(0-2): 1, 2643, 8243, 2928, 0

Estimated close to neutral at LTC:
https://tests.stockfishchess.org/tests/view/6575485a8ec68176cf7d9423
Elo: -0.59 ± 1.8 (95%) LOS: 26.6%
Total: 32060 W: 7859 L: 7913 D: 16288
Ptnml(0-2): 20, 3679, 8676, 3645, 10
nElo: -1.21 ± 3.8 (95%) PairsRatio: 0.99

closes https://github.com/official-stockfish/Stockfish/pull/4912

Bench: 1283323
2023-12-10 23:23:28 +01:00
ppigazzini 8724503d9c Simplify the code to get the native flags
closes https://github.com/official-stockfish/Stockfish/pull/4908

No functional change
2023-12-10 23:18:21 +01:00
Taras Vuk 53ad6d23b0 Remove moveMalus
Passed STC:
https://tests.stockfishchess.org/tests/view/656e0bb86980e15f69c763fa
LLR: 3.15 (-2.94,2.94) <-1.75,0.25>
Total: 123008 W: 30973 L: 30831 D: 61204
Ptnml(0-2): 368, 14032, 32568, 14162, 374

closes https://github.com/official-stockfish/Stockfish/pull/4905

No functional change
2023-12-10 23:17:14 +01:00
Disservin dadff46986 Revert "Temporarily disable CI include checks"
This reverts commit 8f65953583.

closes https://github.com/official-stockfish/Stockfish/pull/4904

No functional change
2023-12-10 23:16:12 +01:00
FauziAkram 7a8bcfc229 Remove cutNode condition
cutNode condition seems to be irrelevant.

Passed STC:
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 24224 W: 6206 L: 5970 D: 12048
Ptnml(0-2): 69, 2818, 6122, 3014, 89
https://tests.stockfishchess.org/tests/view/65686910136acbc5735529ec

Passed LTC:
LLR: 2.96 (-2.94,2.94) <-1.75,0.25>
Total: 236538 W: 58624 L: 58622 D: 119292
Ptnml(0-2): 136, 26955, 64091, 26945, 142
https://tests.stockfishchess.org/tests/view/6568925a136acbc573552d8f

closes https://github.com/official-stockfish/Stockfish/pull/4901

Bench: 1244386
2023-12-04 11:33:58 +01:00
ppigazzini 0ff2ea6549 Update GitHub workflows
- Use the latest version of the actions
- Use commit hash for actions from little providers
- Update Intel SDE to 9.27

closes https://github.com/official-stockfish/Stockfish/pull/4900

No functional change
2023-12-04 11:27:28 +01:00
Sebastian Buchwald 8f65953583 Temporarily disable CI include checks
The include checks currently fail because of broken LLVM nightly
packages: https://github.com/llvm/llvm-project/issues/73402.

closes https://github.com/official-stockfish/Stockfish/pull/4899

No functional change
2023-12-04 11:26:09 +01:00
lonfom169 08cdbca56f Tweak return value in futility pruning
In futility pruning, return the average between eval and beta.

Passed STC:
https://tests.stockfishchess.org/tests/view/65680bb6136acbc5735521d7
LLR: 2.93 (-2.94,2.94) <0.00,2.00>
Total: 15200 W: 3926 L: 3642 D: 7632
Ptnml(0-2): 36, 1699, 3867, 1941, 57

Passed LTC:
https://tests.stockfishchess.org/tests/view/656817fc136acbc573552304
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 200376 W: 49700 L: 49036 D: 101640
Ptnml(0-2): 110, 22584, 54137, 23246, 111

closes https://github.com/official-stockfish/Stockfish/pull/4897

Bench: 1403703
2023-12-02 11:46:44 +01:00
cj5716 15d47a2b38 Remove recaptures stage in qsearch
Simplify an old commit
https://github.com/official-stockfish/Stockfish/commit/72760c05c64d1fb2bb71c2ac54acfbeecf513b87.

Search is not stuck on the test position given
r1n1n1b1/1P1P1P1P/1N1N1N2/2RnQrRq/2pKp3/3BNQbQ/k7/4Bq2 w - - 0 1

Passed STC:
https://tests.stockfishchess.org/tests/view/6567050d136acbc573550919
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 236160 W: 59475 L: 59475 D: 117210
Ptnml(0-2): 841, 28266, 59816, 28366, 791

Passed LTC:
https://tests.stockfishchess.org/tests/view/6567d133136acbc573551c78
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 201690 W: 49630 L: 49593 D: 102467
Ptnml(0-2): 128, 23214, 54122, 23255, 126

closes https://github.com/official-stockfish/Stockfish/pull/4896

Bench: 1604361
2023-12-02 11:45:38 +01:00
Taras Vuk 85403a89ba Skip LMR for 2nd move at the root only
This patch reverts commit by Vizvezdenec:
https://github.com/official-stockfish/Stockfish/commit/27139dedac14af400f5b18e2ab50aca3f8cf0e33

Passed STC:
https://tests.stockfishchess.org/tests/view/65660b4a136acbc57354f13d
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 301952 W: 76271 L: 76344 D: 149337
Ptnml(0-2): 1053, 36293, 76348, 36238, 1044

Passed LTC:
https://tests.stockfishchess.org/tests/view/656738ab136acbc573550e39
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 25050 W: 6283 L: 6063 D: 12704
Ptnml(0-2): 10, 2756, 6775, 2972, 12

closes https://github.com/official-stockfish/Stockfish/pull/4895

Bench: 1722961
2023-12-02 11:41:31 +01:00
FauziAkram 7dc40ac643 Simplify quietMoveMalus malus
Use a simple depth instead of depth + 1 in the quietMoveMalus formula.

Passed STC:
https://tests.stockfishchess.org/tests/view/65636bf0136acbc57354b662
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 105248 W: 26680 L: 26532 D: 52036
Ptnml(0-2): 409, 12590, 26481, 12732, 412

Passed LTC:
https://tests.stockfishchess.org/tests/view/6563b5db136acbc57354bcab
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 204204 W: 50200 L: 50166 D: 103838
Ptnml(0-2): 123, 23331, 55145, 23395, 108

closes https://github.com/official-stockfish/Stockfish/pull/4893

Bench: 1717495
2023-12-02 11:40:36 +01:00
cj5716 883163395e Simplify promotion move generation
closes https://github.com/official-stockfish/Stockfish/pull/4892

No functional change
2023-12-02 11:38:18 +01:00
FauziAkram f17db4641e Simplify doDeeperSearch
Removing dependence on d simplifies the doDeeperSearch formula and eliminates a
variable that is not necessary in this context.

Passed STC:
https://tests.stockfishchess.org/tests/view/65647980136acbc57354c9f6
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 37440 W: 9558 L: 9334 D: 18548
Ptnml(0-2): 127, 4439, 9375, 4641, 138

Passed LTC:
https://tests.stockfishchess.org/tests/view/6564c3f0136acbc57354d126
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 113946 W: 27993 L: 27864 D: 58089
Ptnml(0-2): 67, 12975, 30783, 13058, 90

closes https://github.com/official-stockfish/Stockfish/pull/4888

Bench: 1427733
2023-12-02 11:35:28 +01:00
Muzhen Gaming 757ae2ff53 Simplify move history reduction
Recent VLTC search tuning has suggested that the depth limit can be increased
by a lot. This patch simplifies away the depth-based bonus from statScore
reduction, making the divisor a constant.

Passed STC:
https://tests.stockfishchess.org/tests/view/656201f5136acbc573549791
LLR: 2.96 (-2.94,2.94) <-1.75,0.25>
Total: 91520 W: 23130 L: 22967 D: 45423
Ptnml(0-2): 282, 10947, 23141, 11106, 284

Passed LTC:
https://tests.stockfishchess.org/tests/view/6562b43a136acbc57354a581
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 352902 W: 86796 L: 86917 D: 179189
Ptnml(0-2): 190, 40227, 95741, 40100, 193

closes https://github.com/official-stockfish/Stockfish/pull/4886

Bench: 1297179
2023-12-02 11:30:47 +01:00
Stefan Geschwentner 13426a93c1 Simplify history update.
Removal of the slowdown factor from the history update formula with
corresponding adjustment of the stat bonus used in the search.

Passed STC:
https://tests.stockfishchess.org/tests/view/655e1079136acbc573544744
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 128096 W: 32355 L: 32235 D: 63506
Ptnml(0-2): 466, 15187, 32573, 15405, 417

Passed LTC:
https://tests.stockfishchess.org/tests/view/655f4e60136acbc573546266
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 50652 W: 12653 L: 12459 D: 25540
Ptnml(0-2): 28, 5666, 13751, 5846, 35

closes https://github.com/official-stockfish/Stockfish/pull/4883

Bench: 1303857
2023-12-02 11:23:15 +01:00
FauziAkram b4e9ee72e3 Reformat some comments
Tests used to derive some Elo worth comments:

https://tests.stockfishchess.org/tests/view/653cf6b7cc309ae83956263a
https://tests.stockfishchess.org/tests/view/655250b7136acbc573534711
https://tests.stockfishchess.org/tests/view/65525767136acbc5735347b9
https://tests.stockfishchess.org/tests/view/65525aa1136acbc573534801

closes https://github.com/official-stockfish/Stockfish/pull/4879

No functional change
2023-11-20 19:10:38 +01:00
FauziAkram b59786e750 Remove doEvenDeeperSearch
Passed STC:
LLR: 2.98 (-2.94,2.94) <-1.75,0.25>
Total: 51040 W: 13014 L: 12804 D: 25222
Ptnml(0-2): 166, 6032, 12917, 6236, 169
https://tests.stockfishchess.org/tests/view/65525aa1136acbc573534801

Passed LTC:
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 165168 W: 40863 L: 40789 D: 83516
Ptnml(0-2): 73, 18783, 44792, 18869, 67
https://tests.stockfishchess.org/tests/view/65535af5136acbc573535c84

closes https://github.com/official-stockfish/Stockfish/pull/4880

Bench: 1477007
2023-11-20 19:00:47 +01:00
FauziAkram 504bf0e8b8 Change depth - 1 to newDepth
Replacing 'depth - 1' with 'newDepth' in the singularbeta formula
utilizes existing variables more succinctly.

closes https://github.com/official-stockfish/Stockfish/pull/4876

No functional change
2023-11-20 18:59:01 +01:00
Stefan Geschwentner 7970236e9e Fix undefined behavior in search.
We use following line to clamp the search depth in some range:
Depth d = std::clamp(newDepth - r, 1, newDepth + 1);

Through negative extension its possible that the maximum value becomes smaller than the minimum value but then the behavior is undefined (see https://en.cppreference.com/w/cpp/algorithm/clamp). So replace this line with a safe implementation.

Remark:
We have in recent master already one line where up to 3 negative extensions are possible which could trigger this undefined behavior but this can only be happen for completed depth > 24 so its not discovered by our default bench. Recent negative extension tests by @fauzi shows then this undefined behavior with wrong bench numbers.

closes https://github.com/official-stockfish/Stockfish/pull/4877

No functional change
2023-11-16 09:10:20 +01:00
Joost VandeVondele d89217766b CI updates
- updates the SDE action to v2.2
- removes the linux x86-32 builds, which were almost unused,
  and the build process under SDE started failing recently,
  possibly related to glibc update (The futex facility returned an unexpected error code.)

closes https://github.com/official-stockfish/Stockfish/pull/4875

No functional change
2023-11-16 09:01:57 +01:00
Joost VandeVondele f9d8717844 Symmetrize optimism
Removes some additional parameters, making the term more logical at the same
time.

Passed STC:
https://tests.stockfishchess.org/tests/view/6550e896136acbc5735328ed
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 271104 W: 68441 L: 68480 D: 134183
Ptnml(0-2): 827, 32590, 68816, 32433, 886

Passed LTC:
https://tests.stockfishchess.org/tests/view/65523858136acbc5735344f7
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 198954 W: 49250 L: 49211 D: 100493
Ptnml(0-2): 93, 22565, 54117, 22614, 88

closes https://github.com/official-stockfish/Stockfish/pull/4874

Bench: 1334248
2023-11-15 19:35:14 +01:00
Taras Vuk 863a1f2b4c Introduce recapture extensions
When in a PV-node this patch extends ttMove if it is a recapture and has a good
history.

Passed STC:
LLR: 2.95 (-2.94,2.94) <0.00,2.00>
Total: 83840 W: 21560 L: 21166 D: 41114
Ptnml(0-2): 343, 9905, 21027, 10305, 340
https://tests.stockfishchess.org/tests/view/654f4b02136acbc5735308ab

Passed LTC:
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 165318 W: 41068 L: 40476 D: 83774
Ptnml(0-2): 98, 18670, 44517, 19290, 84
https://tests.stockfishchess.org/tests/view/654fde04136acbc5735314e0

closes https://github.com/official-stockfish/Stockfish/pull/4872

Bench: 1393911
2023-11-15 19:32:59 +01:00
Linmiao Xu fbc6b27505 Simplify away optimism average score offset params
Passed non-regression STC:
https://tests.stockfishchess.org/tests/view/654abf6b136acbc57352ac4b
LLR: 2.97 (-2.94,2.94) <-1.75,0.25>
Total: 49664 W: 12687 L: 12477 D: 24500
Ptnml(0-2): 138, 5840, 12703, 5976, 175

Passed non-regression LTC:
https://tests.stockfishchess.org/tests/view/654b638e136acbc57352b961
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 347166 W: 85561 L: 85676 D: 175929
Ptnml(0-2): 206, 39569, 94150, 39450, 208

closes https://github.com/official-stockfish/Stockfish/pull/4871

bench 1257641
2023-11-11 15:26:56 +01:00
Stefan Geschwentner 80b0e37543 Double weight of pawn history for quiet move ordering.
I measured on my 1000 position bench the average additional added pawn history per depth.
This shows on average negative value with even smaller values with increaing depth.

A linear regression against depth get following formula:

-1960 - 130 * depth

For compensation add this to the used sort limit to maintain roughly the same proportion of sorted quiet moves.

Remarks:
1. using no compensation failed here https://tests.stockfishchess.org/tests/view/6547664f136acbc5735265f0
2. using only the compensation failed at LTC:
   passed STC: https://tests.stockfishchess.org/tests/view/65477457136acbc5735266f8
   failed LTC: https://tests.stockfishchess.org/tests/view/65487fc8136acbc573527d1c

STC:
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 98528 W: 25109 L: 24699 D: 48720
Ptnml(0-2): 334, 11586, 25009, 12006, 329
https://tests.stockfishchess.org/tests/view/65475873136acbc5735264f7

LTC:
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 69726 W: 17467 L: 17073 D: 35186
Ptnml(0-2): 39, 7814, 18769, 8196, 45
https://tests.stockfishchess.org/tests/view/6547e759136acbc573527071

closes https://github.com/official-stockfish/Stockfish/pull/4866

Bench: 1379422
2023-11-07 08:28:43 +01:00
Taras Vuk d0e87104aa Remove pawn history from ProbCut constructor
use same style as other history tables

Passed STC:
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 184672 W: 46953 L: 46896 D: 90823
Ptnml(0-2): 604, 21095, 48887, 21140, 610
https://tests.stockfishchess.org/tests/view/654766b4136acbc573526602

closes https://github.com/official-stockfish/Stockfish/pull/4865

No functional change
2023-11-07 08:23:11 +01:00
Taras Vuk 442c294a07 Use stat_malus when decreasing stats
This patch applies stat_bonus when increasing and stat_malus when decreasing stats.

Passed STC:
LLR: 2.93 (-2.94,2.94) <0.00,2.00>
Total: 133792 W: 34221 L: 33758 D: 65813
Ptnml(0-2): 477, 15764, 33959, 16211, 485
https://tests.stockfishchess.org/tests/view/654699f3136acbc5735256b2

Passed LTC:
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 67374 W: 16912 L: 16523 D: 33939
Ptnml(0-2): 42, 7528, 18171, 7891, 55
https://tests.stockfishchess.org/tests/view/65474558136acbc5735263ab

closes https://github.com/official-stockfish/Stockfish/pull/4864

bench: 1114417
2023-11-05 19:54:59 +01:00
FauziAkram d4b46ea6db Set reduction to 0 if the move is a TT move
The reduction formula currently decreases by 1 if the move is a TT move.
This changes this by just setting the reduction to 0 instead.

Passed STC:
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 83136 W: 21145 L: 20758 D: 41233
Ptnml(0-2): 279, 9772, 21090, 10137, 290
https://tests.stockfishchess.org/tests/view/653c0fbacc309ae839561584

Passed LTC:
LLR: 2.96 (-2.94,2.94) <0.50,2.50>
Total: 273150 W: 67987 L: 67171 D: 137992
Ptnml(0-2): 155, 30730, 73966, 31592, 132
https://tests.stockfishchess.org/tests/view/653d9d02cc309ae839562fdf

closes https://github.com/official-stockfish/Stockfish/pull/4863

bench: 1110556
2023-11-05 19:53:15 +01:00
Shahin M. Shahin 791419aab5 Enhance some comments
This documents some code and makes some hard code easier to understand for new developers.

closes https://github.com/official-stockfish/Stockfish/pull/4862

No functional change
2023-11-05 19:51:02 +01:00
FauziAkram 7f97ba775e Tweaking the futility pruning formula
Huge credit goes also to candirufish,
as the idea was first tried by him, and then tuned by me at multiple phases.

Tweaking the futility pruning formula to be a bit more selective about when pruning is applied.
Adjust the value added to the static eval based on the bestValue relative to ss->staticEval. If bestValue is significantly lower, we add a larger value.

Passed STC:
LLR: 2.98 (-2.94,2.94) <0.00,2.00>
Total: 37120 W: 9590 L: 9266 D: 18264
Ptnml(0-2): 130, 4301, 9385, 4603, 141
https://tests.stockfishchess.org/tests/view/6544cf90136acbc573523247

Passed LTC:
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 49632 W: 12381 L: 12033 D: 25218
Ptnml(0-2): 30, 5429, 13549, 5779, 29
https://tests.stockfishchess.org/tests/view/65453bc1136acbc573523a3c

closes https://github.com/official-stockfish/Stockfish/pull/4861

bench: 1107118
2023-11-04 17:34:35 +01:00
Michael Chaly b4b704e686 Update pawn history based on static eval difference
Use the same logic as in main history but with 1/4 multiplier.

Passed STC:
https://tests.stockfishchess.org/tests/view/653c1282cc309ae8395615bf
LLR: 2.93 (-2.94,2.94) <0.00,2.00>
Total: 306624 W: 77811 L: 77094 D: 151719
Ptnml(0-2): 975, 36411, 77830, 37114, 982

Passed LTC:
https://tests.stockfishchess.org/tests/view/654258e2cc309ae83956818d
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 99150 W: 24681 L: 24228 D: 50241
Ptnml(0-2): 56, 11107, 26792, 11568, 52

closes https://github.com/official-stockfish/Stockfish/pull/4859

bench 1330590
2023-11-03 22:50:05 +01:00
Stefan Geschwentner 1cb9afbdc0 Remove razoring history update.
The recently commit 'Rewarding Quiet Moves that Enable Razoring' add a history update if razoring. But its contains also many tuned values all over the search. Following tests shows that the tuned values and not the added history update is responsible for the elo gain. So remove later.

Passed STC:
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 29376 W: 7641 L: 7410 D: 14325
Ptnml(0-2): 100, 3411, 7451, 3610, 116
https://tests.stockfishchess.org/tests/view/653c9fe1cc309ae839562070

Passed LTC:
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 242922 W: 59879 L: 59885 D: 123158
Ptnml(0-2): 129, 27764, 65688, 27744, 136
https://tests.stockfishchess.org/tests/view/653d06cbcc309ae839562735

closes https://github.com/official-stockfish/Stockfish/pull/4858

Bench: 1286104
2023-11-03 22:47:31 +01:00
FauziAkram 101d2bb8ea Simplifying two formulas
by eliminating two multiplication operations.

Passed STC:
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 60000 W: 15193 L: 14996 D: 29811
Ptnml(0-2): 199, 7100, 15215, 7277, 209
https://tests.stockfishchess.org/tests/view/653beb69cc309ae83956129d

Passed LTC:
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 122910 W: 30471 L: 30353 D: 62086
Ptnml(0-2): 68, 13961, 33271, 14095, 60
https://tests.stockfishchess.org/tests/view/653c5848cc309ae839561ae7

closes https://github.com/official-stockfish/Stockfish/pull/4857

bench: 1216779
2023-11-03 22:40:43 +01:00
cj5716 e277dda716 Prefetch TT entries in probcut
Passed STC:
LLR: 2.93 (-2.94,2.94) <0.00,2.00>
Total: 101344 W: 25893 L: 25491 D: 49960
Ptnml(0-2): 303, 11350, 26991, 11698, 330
https://tests.stockfishchess.org/tests/view/6540daa6cc309ae83956669b

slight speedup:
```
Result of 100 runs
==================
base (./stockfish.master       ) =    1170705  +/- 3133
test (./stockfish.patch        ) =    1174545  +/- 2895
diff                             =      +3841  +/- 3196

speedup        = +0.0033
P(speedup > 0) =  0.9907
```

closes https://github.com/official-stockfish/Stockfish/pull/4856

No functional change
2023-11-03 22:39:04 +01:00
Muzhen Gaming 908811c24a Introduce asymmetric optimism
Introduce asymmetric optimism for both side to move and opponent. Parameter tuning was done with 200k LTC games.

STC: https://tests.stockfishchess.org/tests/view/653cc08fcc309ae8395622b3
LLR: 2.96 (-2.94,2.94) <0.00,2.00>
Total: 98336 W: 25074 L: 24661 D: 48601
Ptnml(0-2): 339, 11612, 24890, 11951, 376

LTC: https://tests.stockfishchess.org/tests/view/653db595cc309ae839563140
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 83244 W: 20760 L: 20339 D: 42145
Ptnml(0-2): 51, 9306, 22498, 9705, 62

closes https://github.com/official-stockfish/Stockfish/pull/4853

Bench: 1371690
2023-10-30 07:51:27 +01:00
cj5716 38aa70adcf Small cleanups
Corrects some incorrect or outdated comments.
Credit is shared with yaneurao (see 38e830a#commitcomment-131131500) and locutus2

closes #4852

No functional change.
2023-10-30 07:49:15 +01:00
Disservin 347d613b0e remove outdated comment
Bench: 1258079
2023-10-27 18:35:52 +02:00
Disservin 08ed4c90db Format Code
No functional change
2023-10-27 17:33:59 +02:00
FauziAkram d30af4f669 Rewarding Quiet Moves that Enable Razoring
The main idea of the patch comes from @peregrineshahin :
https://tests.stockfishchess.org/tests/view/65205363ac57711436728781

Another small idea (tuning) comes from @Vizvezdenec
https://tests.stockfishchess.org/tests/view/652e071ade6d262d08d318f4 And a long
phases of tuning and tests was done by me in order to make the patch be able to
pass both tests.

The idea, as mentioned by Peregrine is that in our standard code, if no best
move found after searching all moves, we give a bonus to the previous move that
caused the fail high. So in razoring we assume no bestmove will be found so we
might as well do the same.

Passed STC:
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 82336 W: 20997 L: 20610 D: 40729
Ptnml(0-2): 288, 9710, 20753, 10161, 256
https://tests.stockfishchess.org/tests/view/6538fafbcc309ae83955d8f0

Passed LTC:
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 46584 W: 11753 L: 11411 D: 23420
Ptnml(0-2): 21, 5133, 12642, 5475, 21
https://tests.stockfishchess.org/tests/view/653a3f2ccc309ae83955f223

closes https://github.com/official-stockfish/Stockfish/pull/4850

Bench: 1258079

Co-Authored-By: Shahin M. Shahin <41402573+peregrineshahin@users.noreply.github.com>
2023-10-27 17:32:19 +02:00
Michael Chaly b0658f09b9 Introduce pawn structure based history
Original idea by Seer chess engine https://github.com/connormcmonigle/seer-nnue,
coding done by @Disservin, code refactoring done by @locutus2 to match the style
of other histories.

This patch introduces pawn structure based history, which assings moves values
based on last digits of pawn structure hash and piece type of moved piece and
landing square of the move. Idea is that good places for pieces are quite often
determined by pawn structure of position. Used in 3 different places
- sorting of quiet moves, sorting of quiet check evasions and in history based
pruning in search.

Passed STC:
https://tests.stockfishchess.org/tests/view/65391d08cc309ae83955dbaf
LLR: 2.95 (-2.94,2.94) <0.00,2.00>
Total: 155488 W: 39408 L: 38913 D: 77167
Ptnml(0-2): 500, 18427, 39408, 18896, 513

Passed LTC:
https://tests.stockfishchess.org/tests/view/653a36a2cc309ae83955f181
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 70110 W: 17548 L: 17155 D: 35407
Ptnml(0-2): 33, 7859, 18889, 8230, 44

closes https://github.com/official-stockfish/Stockfish/pull/4849

Bench: 1257882

Co-Authored-By: Disservin <disservin.social@gmail.com>
Co-Authored-By: Stefan Geschwentner <locutus2@users.noreply.github.com>
2023-10-27 17:24:25 +02:00
Taras Vuk 871ab55f01 Simplify futility pruning formula
closes https://github.com/official-stockfish/Stockfish/pull/4848

No functional change
2023-10-27 17:16:28 +02:00
Linmiao Xu 0024133b08 Update 5 search params for pruning at shallow depth
Found by spsa tuning at 45+0.45 with:

```
int fpcEvalOffset = 188;
int fpcLmrDepthMult = 206;
int histDepthMult = -3232;
int histDenom = 5793;
int fpEvalOffset = 115;
int negSeeDepthMultSq = -27;
TUNE(SetRange(0, 394), fpcEvalOffset);
TUNE(SetRange(0, 412), fpcLmrDepthMult);
TUNE(SetRange(-6464, -1616), histDepthMult);
TUNE(SetRange(2896, 11586), histDenom);
TUNE(SetRange(0, 230), fpEvalOffset);
TUNE(SetRange(-54, 0), negSeeDepthMultSq);
```

Passed STC:
https://tests.stockfishchess.org/tests/view/6535551de746e058e6c0165d
LLR: 2.98 (-2.94,2.94) <0.00,2.00>
Total: 109056 W: 28025 L: 27599 D: 53432
Ptnml(0-2): 357, 12669, 28038, 13119, 345

Passed LTC:
https://tests.stockfishchess.org/tests/view/65364c6ff127f3553505175d
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 61290 W: 15316 L: 14941 D: 31033
Ptnml(0-2): 34, 6849, 16498, 7236, 28

closes https://github.com/official-stockfish/Stockfish/pull/4847

bench 1167412
2023-10-24 17:46:18 +02:00
Joost VandeVondele ec02714b62 Cleanup comments and some code reorg.
passed STC:
https://tests.stockfishchess.org/tests/view/6536dc7dcc309ae83955b04d
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 58048 W: 14693 L: 14501 D: 28854
Ptnml(0-2): 200, 6399, 15595, 6669, 161

closes https://github.com/official-stockfish/Stockfish/pull/4846

No functional change
2023-10-24 17:43:05 +02:00
cj5716 d6a5c2b085 Small formatting improvements
Changes some C style casts to C++ style, and fixes some incorrect comments and variable names.

closes #4845

No functional change
2023-10-24 17:42:13 +02:00
Joost VandeVondele 49ece9f791 Follow up Makefile changes for clang-format
as reported on various OS, these changes help portability

closes https://github.com/official-stockfish/Stockfish/pull/4844

No functional change.
2023-10-23 20:39:48 +02:00
Muzhen Gaming cf3dbcb5ac Time management improvements
1. Tune time management parameters.
2. Scale the optimum time and maximum time parameters based on the amount of
   time left, using a logarithmic scale.

Many acknowledgements to @FauziAkram for tuning the parameters and for the
original idea (see
https://tests.stockfishchess.org/tests/view/652f0356de6d262d08d333c5).

STC: https://tests.stockfishchess.org/tests/view/6533938fde6d262d08d39e4d
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 44320 W: 11301 L: 10982 D: 22037
Ptnml(0-2): 146, 4810, 11920, 5147, 137

LTC: https://tests.stockfishchess.org/tests/view/653477e4de6d262d08d3ae06
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 146442 W: 37338 L: 36811 D: 72293
Ptnml(0-2): 60, 14975, 42645, 15460, 81

Verification runs:
3+0.03: https://tests.stockfishchess.org/tests/view/65364e7ef127f3553505178a
10+0: https://tests.stockfishchess.org/tests/view/65364e9ff127f3553505178f
180+1.8: https://tests.stockfishchess.org/tests/view/65364ec3f127f35535051794

closes https://github.com/official-stockfish/Stockfish/pull/4843

No functional change.

Co-Authored-By: FauziAkram <11150271+FauziAkram@users.noreply.github.com>
2023-10-23 20:39:48 +02:00
Disservin a105978bbd remove blank line between function and it's description
- remove the blank line between the declaration of the function and it's
  comment, leads to better IDE support when hovering over a function to see it's
  description
- remove the unnecessary duplication of the function name in the functions
  description
- slightly refactored code for lsb, msb in bitboard.h There are still a few
  things we can be improved later on, move the description of a function where
  it was declared (instead of implemented) and add descriptions to functions
  which are behind macros ifdefs

closes https://github.com/official-stockfish/Stockfish/pull/4840

No functional change
2023-10-23 20:39:48 +02:00
Disservin b187622233 use expanded variables for shell commands
Performance improvement for the shell commands in the Makefile.
By using expanded variables, the shell commands are only
evaluated once, instead of every time they are used.

closes https://github.com/official-stockfish/Stockfish/pull/4838

No functional change
2023-10-23 20:39:48 +02:00
MinetaS 40c6a84434 Fix a compiler bug on Clang 15+ with AVX-512
fixes https://github.com/official-stockfish/Stockfish/issues/4450
closes https://github.com/official-stockfish/Stockfish/pull/4830

No functional change.
2023-10-23 20:39:48 +02:00
Taras Vuk b7b7800e2b Simplify futilityBase formula
This patch replaces std::min(ss->staticEval, bestValue) with ss->staticEval in the futilityBase formula.
Original idea by Vizvezdenec: https://tests.stockfishchess.org/tests/view/64ce66795b17f7c21c0d85f3

Passed STC:
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 116928 W: 29925 L: 29793 D: 57210
Ptnml(0-2): 399, 13558, 30446, 13634, 427
https://tests.stockfishchess.org/tests/view/653285aade6d262d08d385dd

Passed LTC:
LLR: 2.96 (-2.94,2.94) <-1.75,0.25>
Total: 50868 W: 12947 L: 12757 D: 25164
Ptnml(0-2): 30, 5414, 14355, 5606, 29
https://tests.stockfishchess.org/tests/view/65336ffbde6d262d08d39ba0

closes https://github.com/official-stockfish/Stockfish/pull/4837

bench: 1241996
2023-10-22 16:16:02 +02:00
Disservin 2d0237db3f add clang-format
This introduces clang-format to enforce a consistent code style for Stockfish.

Having a documented and consistent style across the code will make contributing easier
for new developers, and will make larger changes to the codebase easier to make.

To facilitate formatting, this PR includes a Makefile target (`make format`) to format the code,
this requires clang-format (version 17 currently) to be installed locally.

Installing clang-format is straightforward on most OS and distros
(e.g. with https://apt.llvm.org/, brew install clang-format, etc), as this is part of quite commonly
used suite of tools and compilers (llvm / clang).

Additionally, a CI action is present that will verify if the code requires formatting,
and comment on the PR as needed. Initially, correct formatting is not required, it will be
done by maintainers as part of the merge or in later commits, but obviously this is encouraged.

fixes https://github.com/official-stockfish/Stockfish/issues/3608
closes https://github.com/official-stockfish/Stockfish/pull/4790

Co-Authored-By: Joost VandeVondele <Joost.VandeVondele@gmail.com>
2023-10-22 16:06:27 +02:00
mstembera 8366ec48ae Scale down stat bonus
STC https://tests.stockfishchess.org/tests/view/652eff58de6d262d08d33353
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 88224 W: 22618 L: 22228 D: 43378
Ptnml(0-2): 282, 10177, 22783, 10609, 261

LTC https://tests.stockfishchess.org/tests/view/652fd13bde6d262d08d3481a
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 143508 W: 36674 L: 36142 D: 70692
Ptnml(0-2): 92, 15240, 40534, 15820, 68

Reduces the stat bonus by 20%. Maybe future patches can tune the actual bonus calculations for different histories.

closes https://github.com/official-stockfish/Stockfish/pull/4836

bench: 1185932
2023-10-21 10:37:27 +02:00
Taras Vuk e18619d078 Subtract the margin from the value returned by ProbCut
This patch subtracts the margin from the value returned by ProbCut.

Passed STC:
LLR: 2.95 (-2.94,2.94) <0.00,2.00>
Total: 46112 W: 11940 L: 11610 D: 22562
Ptnml(0-2): 131, 5318, 11842, 5620, 145
https://tests.stockfishchess.org/tests/view/652ea42ade6d262d08d329dd

Passed LTC:
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 86880 W: 22192 L: 21776 D: 42912
Ptnml(0-2): 43, 9213, 24510, 9633, 41
https://tests.stockfishchess.org/tests/view/652f70ffde6d262d08d33e8d

closes https://github.com/official-stockfish/Stockfish/pull/4835

bench: 1135313
2023-10-21 10:34:12 +02:00
FauziAkram 90c18b0b50 Removing history condition
Removing the bad history condition from the skip futility pruning formula.

Passed STC:
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 142688 W: 36420 L: 36317 D: 69951
Ptnml(0-2): 481, 16653, 36970, 16762, 478
https://tests.stockfishchess.org/tests/view/65270a663125598fc7eb8c67

Passed LTC:
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 435378 W: 110723 L: 110925 D: 213730
Ptnml(0-2): 278, 47251, 122788, 47139, 233
https://tests.stockfishchess.org/tests/view/6528595f3125598fc7eba8f5

closes https://github.com/official-stockfish/Stockfish/pull/4834

Bench: 1110579
2023-10-21 10:31:51 +02:00
mstembera d3d0c69dc1 Remove outdated Tile naming.
cleanup variable naming after  #4816

closes #4833

No functional change
2023-10-21 10:28:55 +02:00
Shahin M. Shahin 057046cc9a Cleanup qsearch continuation histories
Only (ss-1) and (ss-2) are used in qsearch.

closes https://github.com/official-stockfish/Stockfish/pull/4828

No functional change
2023-10-21 10:26:09 +02:00
FauziAkram edb4ab924f Standardize Comments
use double slashes (//) only for comments.

closes #4820

No functional change.
2023-10-21 10:25:03 +02:00
Stéphane Nicolet fe53a18f7a Reformat some comments and conditions
closes https://github.com/official-stockfish/Stockfish/pull/4814

No functional change
2023-10-21 10:15:48 +02:00
Shahin M. Shahin a4fedd8152 Fix greater than TB scores in null move pruning.
This patch is a simplification and a fix to dealing with null moves scores that returns proven mates or TB scores by preventing 'null move pruning' if the nullvalue is in that range.

Current solution downgrades nullValues on the non-PV node but the value can be used in a transposed PV-node to the same position afterwards (Triangulation), the later is prone to propagate a wrong score (96.05) to root that will not be refuted unless we search further.

Score of (96.05) can be obtained be two methods,

maxim static-eval returned on Pv update (mostly qSearch)
this downgrade (clamp) in NMP
and theoretically can happen with or without TBs but the second scenario is more dangerous than the first.
This fixes the reproducible case in very common scenarios with TBs as shown in the debugging at discord.

Fixes: #4699

Passed STC:
https://tests.stockfishchess.org/tests/view/64c1eca8dc56e1650abba6f9
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 670048 W: 171132 L: 171600 D: 327316
Ptnml(0-2): 2134, 75687, 179820, 75279, 2104

Passed LTC:
https://tests.stockfishchess.org/tests/view/64c5e130dc56e1650abc0438
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 92868 W: 23642 L: 23499 D: 45727
Ptnml(0-2): 52, 9509, 27171, 9648, 54

closes https://github.com/official-stockfish/Stockfish/pull/4715

Bench: 1327410
2023-10-21 10:01:26 +02:00
Michael Chaly 38e830af4b Use more continuation histories.
This patch allows stats updates and movepicker bonuses for continuation history 3 plies deep - so counter counter move.
Updates and movepicker usage are done with 1/4 multiplier compared to other histories.

Passed STC:
https://tests.stockfishchess.org/tests/view/6528f28d3125598fc7ebb5a3
LLR: 2.96 (-2.94,2.94) <0.00,2.00>
Total: 161344 W: 41369 L: 40868 D: 79107
Ptnml(0-2): 535, 18720, 41679, 19185, 553

Passed LTC:
https://tests.stockfishchess.org/tests/view/652a397a3125598fc7ebd1d6
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 48564 W: 12556 L: 12215 D: 23793
Ptnml(0-2): 25, 5149, 13595, 5486, 27

closes https://github.com/official-stockfish/Stockfish/pull/4827

bench 1327410
2023-10-14 16:52:35 +02:00
Muzhen Gaming 002636362e Search parameters tune at 180+1.8
Passed VLTC: https://tests.stockfishchess.org/tests/view/65200c58ac577114367280bc
LLR: 2.95 (-2.94,2.94) <0.00,2.00>
Total: 146180 W: 37407 L: 36988 D: 71785
Ptnml(0-2): 21, 14474, 43675, 14905, 15

Passed VLTC SMP: https://tests.stockfishchess.org/tests/view/652403da3125598fc7eb4b6d
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 57580 W: 15061 L: 14739 D: 27780
Ptnml(0-2): 2, 5001, 18460, 5327, 0

closes https://github.com/official-stockfish/Stockfish/pull/4826

Bench: 1099336
2023-10-10 17:45:32 +02:00
Taras Vuk 7a4de96159 Skip futility pruning if ttMove has bad history
Passed STC:
LLR: 2.96 (-2.94,2.94) <0.00,2.00>
Total: 52416 W: 13465 L: 13128 D: 25823
Ptnml(0-2): 128, 6024, 13604, 6287, 165
https://tests.stockfishchess.org/tests/view/651fadd4ac577114367277bf

Passed LTC:
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 87348 W: 22234 L: 21818 D: 43296
Ptnml(0-2): 38, 9240, 24698, 9664, 34
https://tests.stockfishchess.org/tests/view/65201932ac57711436728218

closes https://github.com/official-stockfish/Stockfish/pull/4825

bench: 1246560
2023-10-08 07:56:07 +02:00
gabe f7fbc6880e Avoid recomputing moveCountPruning
In search, when moveCountPruning becomes true, it can never turn false again.

Passed STC https://tests.stockfishchess.org/tests/view/652075ceac57711436728aac
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 136448 W: 34923 L: 34472 D: 67053
Ptnml(0-2): 420, 15094, 36767, 15501, 442

closes https://github.com/official-stockfish/Stockfish/pull/4823

Non functional change
2023-10-08 07:52:16 +02:00
candirufish 25d444ed60 Razor more if ss+1 cutoffCnt > 3
STC:
LLR: 2.95 (-2.94,2.94) <0.00,2.00>
Total: 221760 W: 56726 L: 56144 D: 108890
Ptnml(0-2): 655, 25453, 58123, 25953, 696
https://tests.stockfishchess.org/tests/view/651d34dbcff46e538ee05d91

LTC:
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 130326 W: 33188 L: 32681 D: 64457
Ptnml(0-2): 69, 13949, 36620, 14456, 69
https://tests.stockfishchess.org/tests/view/651f844eac577114367273d5

closes https://github.com/official-stockfish/Stockfish/pull/4822

bench: 1291708
2023-10-08 07:50:03 +02:00
Stefan Geschwentner 008d59512a Simplify collection of bad moves for history updates.
1. collect only the first 32 moves searched and ignore the rest. So late bad moves get no further negative history updates.
2. collect now for quiet moves also at most 32 bad moves

STC:
https://tests.stockfishchess.org/tests/view/6517b3aeb3e74811c8af5651
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 51168 W: 13013 L: 12810 D: 25345
Ptnml(0-2): 120, 6006, 13186, 6095, 177

LTC:
https://tests.stockfishchess.org/tests/view/651adafecff46e538ee02734
LLR: 2.96 (-2.94,2.94) <-1.75,0.25>
Total: 109866 W: 27786 L: 27656 D: 54424
Ptnml(0-2): 52, 11816, 31069, 11942, 54

closes https://github.com/official-stockfish/Stockfish/pull/4818

Bench: 1338617
2023-10-08 07:46:26 +02:00
mstembera c17a657b04 Optimize the most common update accumalator cases w/o tiling
In the most common case where we only update a single state
it's faster to not use temporary accumulation registers and tiling.
(Also includes a couple of small cleanups.)

passed STC
https://tests.stockfishchess.org/tests/view/651918e3cff46e538ee0023b
LLR: 2.95 (-2.94,2.94) <0.00,2.00>
Total: 34944 W: 8989 L: 8687 D: 17268
Ptnml(0-2): 88, 3743, 9512, 4037, 92

A simpler version
https://tests.stockfishchess.org/tests/view/65190dfacff46e538ee00155
also passed but this version is stronger still
https://tests.stockfishchess.org/tests/view/6519b95fcff46e538ee00fa2

closes https://github.com/official-stockfish/Stockfish/pull/4816

No functional change
2023-10-08 07:42:39 +02:00
Stéphane Nicolet 040dfedb34 Remove one test in the move loop
Simplification passed STC test:
https://tests.stockfishchess.org/tests/view/6519fc91cff46e538ee014f6
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 191264 W: 48550 L: 48501 D: 94213
Ptnml(0-2): 576, 21529, 51392, 21540, 595

closes #4815

Non functional change
2023-10-08 07:41:16 +02:00
Robert Nurnberg @ elitebook f1ce1cd475 Update links in license
matches https://www.gnu.org/licenses/gpl-3.0.txt

closes https://github.com/official-stockfish/Stockfish/pull/4813

No functional change
2023-10-08 07:38:13 +02:00
mstembera 8a912951de Remove handcrafted MMX code
too small a benefit to maintain this old target

closes https://github.com/official-stockfish/Stockfish/pull/4804

No functional change
2023-10-08 07:37:01 +02:00
Linmiao Xu afe7f4d9b0 Update default net to nn-0000000000a0.nnue
This is a later epoch from the same experiment that led to the previous
master net. In training stage 6, max-epoch was raised to 1,200 near the
end of the first 1,000 epochs.

For more details, see https://github.com/official-stockfish/Stockfish/pull/4795

Local elo at 25k nodes per move (vs. L1-2048 nn-1ee1aba5ed4c.nnue)
ep1079 : 15.6 +/- 1.2

Passed STC:
https://tests.stockfishchess.org/tests/view/651503b3b3e74811c8af1e2a
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 29408 W: 7607 L: 7304 D: 14497
Ptnml(0-2): 97, 3277, 7650, 3586, 94

Passed LTC:
https://tests.stockfishchess.org/tests/view/651585ceb3e74811c8af2a5f
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 73164 W: 18828 L: 18440 D: 35896
Ptnml(0-2): 30, 7749, 20644, 8121, 38

closes https://github.com/official-stockfish/Stockfish/pull/4810

Bench: 1453057
2023-09-29 22:30:27 +02:00
cj5716 660da1ca7b Skip moves-loop pruning in qsearch if we have only pawns
At first my idea was only to cover movecount and futility pruning, but
@peregrineshahin suggested to test it on all moves-loop pruning and it worked.

Passed STC:
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 167968 W: 42970 L: 42480 D: 82518
Ptnml(0-2): 444, 18324, 46002, 18726, 488
https://tests.stockfishchess.org/tests/view/6511181a55b420c569d0d54c

Passed LTC:
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 40794 W: 10496 L: 10182 D: 20116
Ptnml(0-2): 12, 4021, 12025, 4319, 20
https://tests.stockfishchess.org/tests/view/6512ccc4b3e74811c8aee86c

closes https://github.com/official-stockfish/Stockfish/pull/4809

Bench: 1338472
2023-09-29 22:28:34 +02:00
Sebastian Buchwald 4f0fecad8a Use C++17 variable templates for type traits
The C++17 variable templates are slightly more readable and allow us to
remove the typename keyword in a few cases.

closes https://github.com/official-stockfish/Stockfish/pull/4806

No functional change
2023-09-29 22:22:40 +02:00
mstembera 31d0b7fe93 Remove unused see_ge() code
closes https://github.com/official-stockfish/Stockfish/pull/4805

No functional change
2023-09-29 22:19:08 +02:00
FauziAkram 243f7b264a Improve grammar of comments
closes https://github.com/official-stockfish/Stockfish/pull/4801

No functional change
2023-09-29 22:18:17 +02:00
FauziAkram 9739ed7a97 Simplify pawn count in evaluation
This simplifies the evaluation by removing the unnecessary pawn count term when
combining nnue and optimism values.

Passed STC
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 61472 W: 15748 L: 15554 D: 30170
Ptnml(0-2): 191, 7123, 15933, 7279, 210
https://tests.stockfishchess.org/tests/view/650c34cf7ca0d3f7bbf264ff

Passed LTC:
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 81264 W: 20657 L: 20500 D: 40107
Ptnml(0-2): 30, 8713, 22997, 8854, 38
https://tests.stockfishchess.org/tests/view/650cc30efb151d43ae6d5987

closes https://github.com/official-stockfish/Stockfish/pull/4800

Bench: 1530568
2023-09-29 22:12:46 +02:00
Jasper Shovelton ce99b4b2ef Increment minor section number from 3.7.1 to 3.8.1.
Pext has nothing to do with git commit sha/date, so separate the two
sub-sections.

closes https://github.com/official-stockfish/Stockfish/pull/4785

No functional change
2023-09-29 22:07:10 +02:00
Joost VandeVondele 22cdb6c1ea Explicitly invoke shell
in some cases the permission on the script might be incorrect (zip downloads?).
Explicitly invoke the shell

closes https://github.com/official-stockfish/Stockfish/pull/4803

No functional change
2023-09-24 20:04:42 +02:00
Linmiao Xu 70ba9de85c Update NNUE architecture to SFNNv8: L1-2560 nn-ac1dbea57aa3.nnue
Creating this net involved:
- a 6-stage training process from scratch. The datasets used in stages 1-5 were fully minimized.
- permuting L1 weights with https://github.com/official-stockfish/nnue-pytorch/pull/254

A strong epoch after each training stage was chosen for the next. The 6 stages were:

```
1. 400 epochs, lambda 1.0, default LR and gamma
   UHOx2-wIsRight-multinet-dfrc-n5000 (135G)
     nodes5000pv2_UHO.binpack
     data_pv-2_diff-100_nodes-5000.binpack
     wrongIsRight_nodes5000pv2.binpack
     multinet_pv-2_diff-100_nodes-5000.binpack
     dfrc_n5000.binpack

2. 800 epochs, end-lambda 0.75, LR 4.375e-4, gamma 0.995, skip 12
   LeelaFarseer-T78juntoaugT79marT80dec.binpack (141G)
     T60T70wIsRightFarseerT60T74T75T76.binpack
     test78-junjulaug2022-16tb7p.no-db.min.binpack
     test79-mar2022-16tb7p.no-db.min.binpack
     test80-dec2022-16tb7p.no-db.min.binpack

3. 800 epochs, end-lambda 0.725, LR 4.375e-4, gamma 0.995, skip 20
   leela93-v1-dfrc99-v2-T78juntosepT80jan-v6dd-T78janfebT79aprT80aprmay.min.binpack
     leela93-filt-v1.min.binpack
     dfrc99-16tb7p-filt-v2.min.binpack
     test78-juntosep2022-16tb7p-filter-v6-dd.min-mar2023.binpack
     test80-jan2023-3of3-16tb7p-filter-v6-dd.min-mar2023.binpack
     test78-janfeb2022-16tb7p.min.binpack
     test79-apr2022-16tb7p.min.binpack
     test80-apr2022-16tb7p.min.binpack
     test80-may2022-16tb7p.min.binpack

4. 800 epochs, end-lambda 0.7, LR 4.375e-4, gamma 0.995, skip 24
   leela96-dfrc99-v2-T78juntosepT79mayT80junsepnovjan-v6dd-T80mar23-v6-T60novdecT77decT78aprmayT79aprT80may23.min.binpack
     leela96-filt-v2.min.binpack
     dfrc99-16tb7p-filt-v2.min.binpack
     test78-juntosep2022-16tb7p-filter-v6-dd.min-mar2023.binpack
     test79-may2022-16tb7p.filter-v6-dd.min.binpack
     test80-jun2022-16tb7p.filter-v6-dd.min.binpack
     test80-sep2022-16tb7p.filter-v6-dd.min.binpack
     test80-nov2022-16tb7p.filter-v6-dd.min.binpack
     test80-jan2023-3of3-16tb7p-filter-v6-dd.min-mar2023.binpack
     test80-mar2023-2tb7p.v6-sk16.min.binpack
     test60-novdec2021-16tb7p.min.binpack
     test77-dec2021-16tb7p.min.binpack
     test78-aprmay2022-16tb7p.min.binpack
     test79-apr2022-16tb7p.min.binpack
     test80-may2023-2tb7p.min.binpack

5. 960 epochs, end-lambda 0.7, LR 4.375e-4, gamma 0.995, skip 28
   Increased max-epoch to 960 near the end of the first 800 epochs
   5af11540bbfe dataset: https://github.com/official-stockfish/Stockfish/pull/4635

6. 1000 epochs, end-lambda 0.7, LR 4.375e-4, gamma 0.995, skip 28
   Increased max-epoch to 1000 near the end of the first 800 epochs
   1ee1aba5ed dataset: https://github.com/official-stockfish/Stockfish/pull/4782
```

L1 weights permuted with:
```bash
python3 serialize.py $nnue $nnue_permuted \
  --features=HalfKAv2_hm \
  --ft_optimize \
  --ft_optimize_data=/data/fishpack32.binpack \
  --ft_optimize_count=10000
```

Speed measurements from 100 bench runs at depth 13 with profile-build x86-64-avx2:
```
sf_base =  1329051 +/-   2224 (95%)
sf_test =  1163344 +/-   2992 (95%)
diff    =  -165706 +/-   4913 (95%)
speedup = -12.46807% +/- 0.370% (95%)
```

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

Local elo at 25k nodes per move (vs. L1-2048 nn-1ee1aba5ed4c.nnue)
ep959 : 16.2 +/- 2.3

Failed 10+0.1 STC:
https://tests.stockfishchess.org/tests/view/6501beee2cd016da89abab21
LLR: -2.92 (-2.94,2.94) <0.00,2.00>
Total: 13184 W: 3285 L: 3535 D: 6364
Ptnml(0-2): 85, 1662, 3334, 1440, 71

Failed 180+1.8 VLTC:
https://tests.stockfishchess.org/tests/view/6505cf9a72620bc881ea908e
LLR: -2.94 (-2.94,2.94) <0.00,2.00>
Total: 64248 W: 16224 L: 16374 D: 31650
Ptnml(0-2): 26, 6788, 18640, 6650, 20

Passed 60+0.6 th 8 VLTC SMP (STC bounds):
https://tests.stockfishchess.org/tests/view/65084a4618698b74c2e541dc
LLR: 2.95 (-2.94,2.94) <0.00,2.00>
Total: 90630 W: 23372 L: 23033 D: 44225
Ptnml(0-2): 13, 8490, 27968, 8833, 11

Passed 60+0.6 th 8 VLTC SMP:
https://tests.stockfishchess.org/tests/view/6501d45d2cd016da89abacdb
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 137804 W: 35764 L: 35276 D: 66764
Ptnml(0-2): 31, 13006, 42326, 13522, 17

closes https://github.com/official-stockfish/Stockfish/pull/4795

bench 1246812
2023-09-22 19:26:16 +02:00
Stefan Geschwentner 154b8d3ecb Remove VALUE_KNOWN_WIN.
After removing classic evaluation VALUE_KNOWN_WIN is not anymore returned explicit evaluation. So remove and replace it with VALUE_TB_WIN_IN_MAX_PLY.

Measurement on my big bench (bench 16 1 16 pos1000.fen) verifies that at least with current net the calculated evaluation lies always in the open interval  (-VALUE_KNOWN_WIN, VALUE_KNOWN_WIN).
So i consider this a non-functional change. But to be safe i tested this also at LTC as requested by Stephane Nicolet.

STC:
https://tests.stockfishchess.org/tests/view/64f9db40eaf01be8259a6ed5
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 455296 W: 115981 L: 116217 D: 223098
Ptnml(0-2): 1415, 50835, 123420, 50527, 1451

LTC:
https://tests.stockfishchess.org/tests/view/650bfd867ca0d3f7bbf25feb
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 35826 W: 9170 L: 8973 D: 17683
Ptnml(0-2): 12, 3523, 10645, 3722, 11

closes https://github.com/official-stockfish/Stockfish/pull/4792

Bench: 1603079
2023-09-22 19:25:57 +02:00
mstembera 95fe2b9a9d Reduce SIMD register count from 32 to 16
in the case of avx512 and vnni512 archs.

Up to 17% speedup, depending on the compiler, e.g.

```
AMD pro 7840u (zen4 phoenix apu 4nm)
bash bench_parallel.sh ./stockfish_avx512_gcc13 ./stockfish_avx512_pr_gcc13 20 10
sf_base =  1077737 +/-   8446 (95%)
sf_test =  1264268 +/-   8543 (95%)
diff    =   186531 +/-   4280 (95%)
speedup =  17.308% +/- 0.397% (95%)
```

Prior to this patch, it appears gcc spills registers.

closes https://github.com/official-stockfish/Stockfish/pull/4796

No functional change
2023-09-22 19:15:34 +02:00
cj5716 fce4cc1829 Make casting styles consistent
Make casting styles consistent with the rest of the code.

closes https://github.com/official-stockfish/Stockfish/pull/4793

No functional change
2023-09-22 19:14:29 +02:00
Sebastian Buchwald 952740b36c Let CI check C++ includes
The commit adds a CI workflow that uses the included-what-you-use (IWYU)
tool to check for missing or superfluous includes in .cpp files and
their corresponding .h files. This means that some .h files (especially
in the nnue folder) are not checked yet.

The CI setup looks like this:
- We build IWYU from source to include some yet unreleased fixes.
  This IWYU version targets LLVM 17. Thus, we get the latest release
  candidate of LLVM 17 from LLVM's nightly packages.
- The Makefile now has an analyze target that just build the object
  files (without linking)
- The CI uses the analyze target with the IWYU tool as compiler to
  analyze the compiled .cpp file and its corresponding .h file.
- If IWYU suggests a change the build fails (-Xiwyu --error).
- To avoid false positives we use LLVM's libc++ as standard library
- We have a custom mappings file that adds some mappings that are
  missing in IWYU's default mappings

We also had to add one IWYU pragma to prevent a false positive in
movegen.h.

https://github.com/official-stockfish/Stockfish/pull/4783

No functional change
2023-09-22 19:12:53 +02:00
Stéphane Nicolet e594aa7429 Export makefile ARCH in binary
Example of the `./stockfish compiler` command:

Compiled by                : g++ (GNUC) 10.3.0 on Apple
Compilation architecture   : x86-64-bmi2
Compilation settings       : 64bit BMI2 AVX2 SSE41 SSSE3 SSE2 POPCNT
Compiler __VERSION__ macro : 10.3.0

closes https://github.com/official-stockfish/Stockfish/pull/4789

no functional change
2023-09-22 19:09:20 +02:00
Joost VandeVondele 708319a433 Enable a default native ARCH
uses a posix compatible script to find the native arch.
(based on ppigazzini's https://github.com/ppigazzini/stockfish-downloader )
use that native arch by default, no changes if ARCH is specified explicitly.

SF can now be compiled in an optimal way simply using

make -j profile-build

closes https://github.com/official-stockfish/Stockfish/pull/4777

No functional change
2023-09-22 19:06:37 +02:00
mstembera 97f706ecc1 Sparse impl of affine_transform_non_ssse3()
deal with the general case

About a 8.6% speedup (for general arch)

Results for 200 tests for each version:

            Base      Test      Diff
    Mean    141741    153998    -12257
    StDev   2990      3042      3742

p-value: 0.999
speedup: 0.086

closes https://github.com/official-stockfish/Stockfish/pull/4786

No functional change
2023-09-22 19:03:47 +02:00
peregrineshahin 0e32287af4 Reorder some lines
Now that qsearch has its own repetition detection we can flip the order of lines and remove the guard of depth < 0 which is not needed after reordering (i.e. it was there to prevent checking repetition again at depth ==0).

Passed STC:
https://tests.stockfishchess.org/tests/view/6502ecbb2cd016da89abc3fb
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 69536 W: 17668 L: 17490 D: 34378
Ptnml(0-2): 190, 7652, 18929, 7784, 213

Passed LTC:
https://tests.stockfishchess.org/tests/view/6505ce9072620bc881ea9086
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 52116 W: 13294 L: 13113 D: 25709
Ptnml(0-2): 26, 5176, 15471, 5361, 24

closes https://github.com/official-stockfish/Stockfish/pull/4791

No functional change
2023-09-22 19:02:18 +02:00
Stéphane Nicolet 3f7fb5ac1d Reformat some comments
Also include the bench to make Continuation Integration happy on Github.

Bench: 1603079
2023-09-11 23:19:06 +02:00
Sebastian Buchwald b9319c4fa4 Cleanup code after dropping ICC support in favor of ICX
The commit removes all uses of ICC's __INTEL_COMPILER macro and other
references to ICC. It also adds ICX info to the compiler command and
fixes two typos in Makefile's help output.

closes https://github.com/official-stockfish/Stockfish/pull/4769

No functional change
2023-09-11 22:46:01 +02:00
Linmiao Xu 3d1b067d85 Update default net to nn-1ee1aba5ed4c.nnue
Created by retraining the master net on a dataset composed by:
- adding Leela data from T60 jul-dec 2020, T77 nov 2021, T80 jun-jul 2023
- deduplicating and unminimizing parts of the dataset before interleaving

Trained initially with max epoch 800, then increased near the end of training
twice. First to 960, then 1200. After training, post-processing involved:
- greedy permuting L1 weights with https://github.com/official-stockfish/Stockfish/pull/4620
- greedy 2- and 3- cycle permuting with https://github.com/official-stockfish/Stockfish/pull/4640

  python3 easy_train.py \
    --experiment-name 2048-retrain-S6-sk28 \
    --training-dataset /data/S6.binpack \
    --early-fen-skipping 28 \
    --start-from-engine-test-net True \
    --max_epoch 1200 \
    --lr 4.375e-4 \
    --gamma 0.995 \
    --start-lambda 1.0 \
    --end-lambda 0.7 \
    --tui False \
    --seed $RANDOM \
    --gpus 0

In the list of datasets below, periods in the filename represent the sequence of
steps applied to arrive at the particular binpack. For example:

test77-dec2021-16tb7p.filter-v6-dd.min-mar2023.unminimized.binpack
1. test77 dec2021 data rescored with 16 TB of syzygy tablebases during data conversion
2. filtered with csv_filter_v6_dd.py - v6 filtering and deduplication in one step
3. minimized with the original mar2023 implementation of `minimize_binpack` in
   the tools branch
4. unminimized by removing all positions with score == 32002 (`VALUE_NONE`)

Binpacks were:
- filtered with: https://github.com/linrock/nnue-data
- unminimized with: https://github.com/linrock/Stockfish/tree/tools-unminify
- deduplicated with: https://github.com/linrock/Stockfish/tree/tools-dd

  DATASETS=(
    leela96-filt-v2.min.unminimized.binpack
    dfrc99-16tb7p-eval-filt-v2.min.unminimized.binpack

    # most of the 0dd1cebea57 v6-dd dataset (without test80-jul2022)
    # https://github.com/official-stockfish/Stockfish/pull/4606
    test60-novdec2021-12tb7p.filter-v6-dd.min-mar2023.unminimized.binpack
    test77-dec2021-16tb7p.filter-v6-dd.min-mar2023.unminimized.binpack
    test78-jantomay2022-16tb7p.filter-v6-dd.min-mar2023.unminimized.binpack
    test78-juntosep2022-16tb7p.filter-v6-dd.min-mar2023.unminimized.binpack
    test79-apr2022-16tb7p.filter-v6-dd.min-mar2023.unminimized.binpack
    test79-may2022-16tb7p.filter-v6-dd.min-mar2023.unminimized.binpack
    test80-jun2022-16tb7p.filter-v6-dd.min-mar2023.unminimized.binpack
    test80-aug2022-16tb7p.filter-v6-dd.min-mar2023.unminimized.binpack
    test80-sep2022-16tb7p.filter-v6-dd.min-mar2023.unminimized.binpack
    test80-oct2022-16tb7p.filter-v6-dd.min.binpack
    test80-nov2022-16tb7p.filter-v6-dd.min.binpack
    test80-jan2023-3of3-16tb7p.filter-v6-dd.min-mar2023.unminimized.binpack
    test80-feb2023-16tb7p.filter-v6-dd.min-mar2023.unminimized.binpack

    # older Leela data, recently converted
    test60-octnovdec2020-2tb7p.min.unminimized.binpack
    test60-julaugsep2020-2tb7p.min.binpack
    test77-nov2021-2tb7p.min.dd.binpack

    # newer Leela data
    test80-mar2023-2tb7p.min.unminimized.binpack
    test80-apr2023-2tb7p.filter-v6-sk16.min.unminimized.binpack
    test80-may2023-2tb7p.min.dd.binpack
    test80-jun2023-2tb7p.min.binpack
    test80-jul2023-2tb7p.binpack
  )
  python3 interleave_binpacks.py ${DATASETS[@]} /data/S6.binpack

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

Local elo at 25k nodes per move:
nn-epoch1059 : 2.7 +/- 1.6

Passed STC:
https://tests.stockfishchess.org/tests/view/64fc8d705dab775b5359db42
LLR: 2.93 (-2.94,2.94) <0.00,2.00>
Total: 168352 W: 43216 L: 42704 D: 82432
Ptnml(0-2): 599, 19672, 43134, 20160, 611

Passed LTC:
https://tests.stockfishchess.org/tests/view/64fd44a75dab775b5359f065
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 154194 W: 39436 L: 38881 D: 75877
Ptnml(0-2): 78, 16577, 43238, 17120, 84

closes https://github.com/official-stockfish/Stockfish/pull/4782

Bench: 1603079
2023-09-11 22:37:39 +02:00
Michael Chaly ef22829616 Do more futility pruning in qsearch
This patch introduces a third futility pruning heuristic in qsearch. The idea is
that the static exchange evaluation is much worse than the difference between
futility base and alpha. Thus we can assume that the probability of the move
being good enough to beat alpha is low so it can be pruned.

Passed STC:
https://tests.stockfishchess.org/tests/view/64fc982a5dab775b5359dc83
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 36576 W: 9484 L: 9170 D: 17922
Ptnml(0-2): 121, 4119, 9495, 4431, 122

Passed LTC:
https://tests.stockfishchess.org/tests/view/64fcc7935dab775b5359e1a9
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 135408 W: 34556 L: 34041 D: 66811
Ptnml(0-2): 56, 14462, 38165, 14953, 68

closes https://github.com/official-stockfish/Stockfish/pull/4781

Bench: 1330793
2023-09-11 22:36:26 +02:00
cj5716 6d85f43e26 Simplify cutnode depth condition
With this patch, the depth condition for the cutnodes reduction is loosened from
tte->depth() >= depth + 3 to just tte->depth() >= depth.

Passed STC:
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 101152 W: 25830 L: 25682 D: 49640
Ptnml(0-2): 312, 11788, 26258, 11876, 342
https://tests.stockfishchess.org/tests/view/64fd15635dab775b5359eaa6

Passed LTC:
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 82542 W: 20980 L: 20824 D: 40738
Ptnml(0-2): 42, 8795, 23440, 8953, 41
https://tests.stockfishchess.org/tests/view/64fda3545dab775b5359fbf1

closes https://github.com/official-stockfish/Stockfish/pull/4780

Bench: 1479029
2023-09-11 22:30:57 +02:00
Sebastian Buchwald 46a5cedc11 Cleanup git checkout actions
We now fetch only the current commit for jobs that don't need the git
history. For the Prerelease job, we don't checkout the code at all.

closes https://github.com/official-stockfish/Stockfish/pull/4779

No functional change
2023-09-11 22:15:22 +02:00
Tomasz Sobczyk 1461d861c8 Prevent usage of AVX-512 for the last layer.
Add more static checks regarding the SIMD width match.

STC: https://tests.stockfishchess.org/tests/view/64f5c568a9bc5a78c669e70e
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 125216 W: 31756 L: 31636 D: 61824
Ptnml(0-2): 327, 13993, 33848, 14113, 327

Fixes a bug introduced in 2f2f45f, where with AVX-512 the weights and input to
the last layer were being read out of bounds. Now AVX-512 is only used for the
layers it can be used for. Additional static assertions have been added to
prevent more errors like this in the future.

closes https://github.com/official-stockfish/Stockfish/pull/4773

No functional change
2023-09-11 22:11:30 +02:00
Sebastian Buchwald a8b4fd1671 Avoid "using namespace std"
This is a cleanup PR that prepares the automatic checking of missing or
superfluous #include directives via the include-what-you-use (IWYU) tool
on the CI. Unfortunately, IWYU proposes additional includes for
"namespace std" although we don't need them.

To avoid the problem, the commit removes all "using namespace std"
statements from the code and directly uses the std:: prefix instead.
Alternatively, we could add specific usings (e.g. "using std::string")
foreach used type. Also, a mix of both approaches would be possible.
I decided for the prefix approach because most of the files were already
using the std:: prefixes despite the "using namespace std".

closes https://github.com/official-stockfish/Stockfish/pull/4772

No functional change
2023-09-11 22:07:55 +02:00
Stéphane Nicolet b25d68f6ee Introduce simple_eval() for lazy evaluations
This patch implements the pure materialistic evaluation called simple_eval()
to gain a speed-up during Stockfish search.

We use the so-called lazy evaluation trick: replace the accurate but slow
NNUE network evaluation by the super-fast simple_eval() if the position
seems to be already won (high material advantage). To guard against some
of the most obvious blunders introduced by this idea, this patch uses the
following features which will raise the lazy evaluation threshold in some
situations:

- avoid lazy evals on shuffling branches in the search tree
- avoid lazy evals if the position at root already has a material imbalance
- avoid lazy evals if the search value at root is already winning/losing.

Moreover, we add a small random noise to the simple_eval() term. This idea
(stochastic mobility in the minimax tree) was worth about 200 Elo in the pure
simple_eval() player on Lichess.

Overall, the current implementation in this patch evaluates about 2% of the
leaves in the search tree lazily.

--------------------------------------------

STC:
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 60352 W: 15585 L: 15234 D: 29533
Ptnml(0-2): 216, 6906, 15578, 7263, 213
https://tests.stockfishchess.org/tests/view/64f1d9bcbd9967ffae366209

LTC:
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 35106 W: 8990 L: 8678 D: 17438
Ptnml(0-2): 14, 3668, 9887, 3960, 24
https://tests.stockfishchess.org/tests/view/64f25204f5b0c54e3f04c0e7

verification run at VLTC:
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 74362 W: 19088 L: 18716 D: 36558
Ptnml(0-2): 6, 7226, 22348, 7592, 9
https://tests.stockfishchess.org/tests/view/64f2ecdbf5b0c54e3f04d3ae

All three tests above were run with adjudication off, we also verified that
there was no regression on matetracker (thanks Disservin!).

----------------------------------------------

closes https://github.com/official-stockfish/Stockfish/pull/4771

Bench: 1393714
2023-09-03 09:28:16 +02:00
FauziAkram adf29b3fd6 Rename one variable
To enhance code clarity and prevent potential confusion with the
'r' variable assigned to reduction later in the code, this pull
request renames it to 'reductionScale' when we use the same name
in the reduction() function.

Using distinct variable names for separate functions improves code
readability and maintainability.

closes https://github.com/official-stockfish/Stockfish/pull/4765

No functional change
2023-09-03 09:10:27 +02:00
pb00067 1f7ff8406d Simplify slider_blocker calculation
Now that classical evaluation was removed, we can adapt this method
to the needs of set_check_info.

STC:
2.95 (-2.94,2.94) <-1.75,0.25>
Total: 298176 W: 75802 L: 75868 D: 146506
Ptnml(0-2): 908, 33608, 80192, 33402, 978
https://tests.stockfishchess.org/tests/view/64e70b899009777747557b43

closes https://github.com/official-stockfish/Stockfish/pull/4753

no functional change
2023-09-03 08:57:43 +02:00
Disservin 4f7fe255c7 Simplify README
The UCI protocol is rather technical and has little value in our README. Instead
it should be explained in our wiki. "Contributing" is moved above "Compiling
Stockfish" to make it more prominent.

Also move the CONTRIBUTING.md into the root directory and include it in the
distributed artifacts/releases.

closes https://github.com/official-stockfish/Stockfish/pull/4766

No functional change
2023-09-03 08:40:08 +02:00
Disservin 3c0e86a91e Cleanup includes
Reorder a few includes, include "position.h" where it was previously missing
and apply include-what-you-use suggestions. Also make the order of the includes
consistent, in the following way:

1. Related header (for .cpp files)
2. A blank line
3. C/C++ headers
4. A blank line
5. All other header files

closes https://github.com/official-stockfish/Stockfish/pull/4763
fixes https://github.com/official-stockfish/Stockfish/issues/4707

No functional change
2023-09-03 08:24:51 +02:00
ttruscott 8cd5cbf693 Omit two unneeded tests
These redundant tests were intended as a speed-up, but they do not seem
to provide any speed anymore.

STC: https://tests.stockfishchess.org/tests/view/64e9079c85e3e95030fd8259
LLR: 2.96 (-2.94,2.94) <-1.75,0.25>
Total: 134688 W: 34338 L: 34226 D: 66124
Ptnml(0-2): 426, 15122, 36124, 15258, 414

closes https://github.com/official-stockfish/Stockfish/pull/4767

No functional change
2023-09-03 08:07:59 +02:00
Stéphane Nicolet 4c4cb185aa Play turbulent when defending, simpler when attacking
This patch decays a little the evaluation (up to a few percent) for
positions which have a large complexity measure (material imbalance,
positional compensations, etc).

This may have nice consequences on the playing style, as it modifies
the search differently for attack and defense, both effects being
desirable:

- to see the effect on positions when Stockfish is defending, let us
suppose for instance that the side to move is Stockfish and the nnue
evaluation on the principal variation is -100 : this patch will decay
positions with an evaluation of -103 (say) to the same level, provided
they have huge material imbalance or huge positional compensation.
In other words, chaotic positions with an evaluation of -103 are now
comparable in our search tree to stable positions with an evaluation
of -100, and chaotic positions with an evaluation of -102 are now
preferred to stable positions with an evaluation of -100.

- the effect on positions when Stockfish is attacking is the opposite.
Let us suppose for instance that the side to move is Stockfish and the
nnue evaluation on the principal variation is +100 : this patch will
decay the evaluation to +97 if the positions on the principal variation
have huge material imbalance or huge positional compensation. In other
words, stable positions with an evaluation of +97 are now comparable
in our search tree to chaotic positions with an evaluation of +100,
and stable positions with an evaluation of +98 are now preferred to
chaotic positions with an evaluation of +100.

So the effect of this small change of evaluation on the playing style
is that Stockfish should now play a little bit more turbulent when
defending, and choose slightly simpler lines when attacking.

passed STC:
LLR: 2.93 (-2.94,2.94) <0.00,2.00>
Total: 268448 W: 68713 L: 68055 D: 131680
Ptnml(0-2): 856, 31514, 68943, 31938, 973
https://tests.stockfishchess.org/tests/view/64e252bb99700912526653ed

passed LTC:
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 141060 W: 36066 L: 35537 D: 69457
Ptnml(0-2): 71, 15179, 39522, 15666, 92
https://tests.stockfishchess.org/tests/view/64e4447a9009777747553725

closes https://github.com/official-stockfish/Stockfish/pull/4762

Bench: 1426295
2023-08-24 08:11:17 +02:00
Shahin M. Shahin 440feecb4d Reduce repetitions branches
Increase reduction on retrying a move we just retreated that falls in a repetition:
if current move can be the same move from previous previous turn then we retreated
that move on the previous turn, this patch increases reduction if retrying that move
results in a repetition.

How to continue from there? Maybe we some variants of this idea could bring Elo too
(only testing the destination square, or triangulations, etc.)

Passed STC:
https://tests.stockfishchess.org/tests/view/64e1aede883cbb7cbd9ad976
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 424000 W: 108675 L: 107809 D: 207516
Ptnml(0-2): 1296, 47350, 113896, 48108, 1350

Passed LTC:
https://tests.stockfishchess.org/tests/view/64e32d629970091252666872
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 89682 W: 22976 L: 22569 D: 44137
Ptnml(0-2): 39, 8843, 26675, 9240, 44

closes https://github.com/official-stockfish/Stockfish/pull/4757

bench: 1574347
2023-08-22 11:32:51 +02:00
cj5716 030b87182a Do more full window searches
Remove the value < beta condition for doing full window searches.
As an added bonus the condition for full-window search is now much
more similar to other fail-soft engines.

Passed STC:
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 244608 W: 62286 L: 62294 D: 120028
Ptnml(0-2): 758, 28772, 63214, 28840, 720
https://tests.stockfishchess.org/tests/view/64d72d365b17f7c21c0e6675

Passed LTC:
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 311460 W: 78909 L: 78985 D: 153566
Ptnml(0-2): 129, 33959, 87656, 33831, 155
https://tests.stockfishchess.org/tests/view/64dca2265b17f7c21c0ee06c

closes https://github.com/official-stockfish/Stockfish/pull/4755

Bench: 1624221
2023-08-22 11:22:15 +02:00
Gian-Carlo Pascutto c6f62363a6 Simplify Square Clipped ReLU code.
Squared numbers are never negative, so barring any wraparound there
is no need to clamp to 0. From reading the code, there's no obvious
way to get wraparound, so the entire operation can be simplified
away. Updated original truncated code comments to be sensible.

Verified by running ./stockfish bench 128 1 24 and by the following test:

STC: https://tests.stockfishchess.org/tests/view/64da4db95b17f7c21c0eabe7
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 60224 W: 15425 L: 15236 D: 29563
Ptnml(0-2): 195, 6576, 16382, 6763, 196

closes https://github.com/official-stockfish/Stockfish/pull/4751

No functional change
2023-08-22 11:14:19 +02:00
Stéphane Nicolet 4c5919fa95 Fix some tabs in Makefile
Avoid mixing spaces and tabs for indentation in Makefile

closes https://github.com/official-stockfish/Stockfish/pull/4759

No functional change
2023-08-22 10:59:39 +02:00
Joost VandeVondele fe7353f702 Update links to fishtest
Fishtest has moved to https://github.com/official-stockfish/fishtest/

closes https://github.com/official-stockfish/Stockfish/pull/4758

No functional change
2023-08-22 10:53:49 +02:00
Matthies 9abef246a9 Allow compilation on Raspi (for ARMv8)
Current master fails to compile for ARMv8 on Raspi cause gcc (version 10.2.1)
does not like to cast between signed and unsigned vector types. This patch
fixes it by using unsigned vector pointer for ARM to avoid implicite cast.

closes https://github.com/official-stockfish/Stockfish/pull/4752

No functional change
2023-08-22 10:43:51 +02:00
Stéphane Nicolet a9a0dbbcd0 Fix some 'possible loss of data' warnings
Patch by Maxim Masiutin

closes https://github.com/official-stockfish/Stockfish/pull/4440

No functional change
2023-08-22 10:39:03 +02:00
Disservin 46756996e7 Add -funroll-loops to CXXFLAGS
Optimize profiling data accuracy by enabling -funroll-loops during the profile
generation phase, in addition to its default activation by -fprofile-use.
This seems to produce a slightly faster binary, for most compilers.

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

sf_base =  1392875 +/-   5905 (95%)
sf_test =  1402332 +/-   7303 (95%)
diff    =     9457 +/-   4413 (95%)
speedup = 0.67896% +/- 0.317% (95%)

STC:
LLR: 2.93 (-2.94,2.94) <0.00,2.00>
Total: 34784 W: 8970 L: 8665 D: 17149
Ptnml(0-2): 115, 3730, 9405, 4019, 123
https://tests.stockfishchess.org/tests/view/64d944815b17f7c21c0e92e1

closes https://github.com/official-stockfish/Stockfish/pull/4750

No functional change
2023-08-16 21:25:42 +02:00
Muzhen Gaming fe0dca12f1 Simplify PvNode Reduction
Remove the depth condition for PvNode reduction.

Simplification STC:
https://tests.stockfishchess.org/tests/view/64d308fa5b17f7c21c0e0303
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 38976 W: 10106 L: 9889 D: 18981
Ptnml(0-2): 129, 4479, 10040, 4726, 114

Simplification LTC:
https://tests.stockfishchess.org/tests/view/64d457db5b17f7c21c0e236f
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 156402 W: 39727 L: 39645 D: 77030
Ptnml(0-2): 71, 17143, 43696, 17215, 76

closes https://github.com/official-stockfish/Stockfish/pull/4747

Bench: 1493904
2023-08-16 21:24:58 +02:00
SzilBalazs 3e5a817fd2 Fix dead link to compression algorithm in tbprobe
closes https://github.com/official-stockfish/Stockfish/pull/4746

No functional change
2023-08-16 21:24:58 +02:00
Disservin a77a8448ff Add CONTRIBUTING.md
closes https://github.com/official-stockfish/Stockfish/pull/4741

No functional change
2023-08-16 21:24:54 +02:00
mstembera 9b80897657 Simplify material difference in evaluate
STC: https://tests.stockfishchess.org/tests/view/64d166235b17f7c21c0ddc15
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 100032 W: 25698 L: 25547 D: 48787
Ptnml(0-2): 308, 11748, 25771, 11863, 326

LTC: https://tests.stockfishchess.org/tests/view/64d28c085b17f7c21c0df775
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 123870 W: 31463 L: 31348 D: 61059
Ptnml(0-2): 63, 13487, 34719, 13604, 62

Besides rebasing I replaced PawnValueMg w/ 126 explicitly to decouple from https://tests.stockfishchess.org/tests/view/64d212de5b17f7c21c0debbb by @peregrineshahin which also passed. #4734

closes https://github.com/official-stockfish/Stockfish/pull/4731

Bench: 1447866
2023-08-13 11:59:06 +02:00
Shahin M. Shahin 3322349c1a Simplify pieceValue to one phase.
Simplifies the usage of pieceValues to mg values with the exception of pawnValues, After the removal of PSQT.

passed STC:
https://tests.stockfishchess.org/tests/view/64d147845b17f7c21c0dd86c
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 197248 W: 50168 L: 50125 D: 96955
Ptnml(0-2): 651, 23029, 51222, 23070, 652

passed LTC:
https://tests.stockfishchess.org/tests/view/64d212de5b17f7c21c0debbb
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 181170 W: 45949 L: 45893 D: 89328
Ptnml(0-2): 84, 19656, 51052, 19706, 87

closes https://github.com/official-stockfish/Stockfish/pull/4734

Bench: 1494401
2023-08-13 11:58:08 +02:00
Stéphane Nicolet 495852fecd Simplify SEE pruning for captures
It seems that the current search is smart enough to allow us to remove
(again) the block of code that checks for discovered attacks after the
first pruning condition for captures.

STC:
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 278848 W: 70856 L: 70903 D: 137089
Ptnml(0-2): 960, 32829, 71894, 32780, 961
https://tests.stockfishchess.org/tests/view/64d0af095b17f7c21c0dc440

LTC:
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 100704 W: 25564 L: 25425 D: 49715
Ptnml(0-2): 56, 10858, 28381, 11005, 52
https://tests.stockfishchess.org/tests/view/64d293e85b17f7c21c0df844

closes https://github.com/official-stockfish/Stockfish/pull/4736

Bench: 1470572
2023-08-13 11:52:47 +02:00
FauziAkram c02ee70927 Simplify prior countermove bonus
Swapping a multiplication operation between two terms with a simple constant

Passed STC:
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 60512 W: 15424 L: 15231 D: 29857
Ptnml(0-2): 200, 6985, 15712, 7140, 219
https://tests.stockfishchess.org/tests/view/64d2addf5b17f7c21c0dfae6

Passed LTC:
LLR: 2.96 (-2.94,2.94) <-1.75,0.25>
Total: 108456 W: 27545 L: 27414 D: 53497
Ptnml(0-2): 63, 11629, 30698, 11790, 48
https://tests.stockfishchess.org/tests/view/64d3ab6e5b17f7c21c0e1188

closes https://github.com/official-stockfish/Stockfish/pull/4738

Bench: 1636213
2023-08-13 11:48:32 +02:00
ppigazzini 796d9df643 Check compiler for docker builds in CI
closes https://github.com/official-stockfish/Stockfish/pull/4739

No functional change
2023-08-13 11:47:52 +02:00
Gabrik 84e97a38a3 Remove the unused enum ScaleFactor
closes https://github.com/official-stockfish/Stockfish/pull/4740

No functional change
2023-08-13 11:46:48 +02:00
Shahin M. Shahin b7b7a3f3fa Detect repetitions before they happen in qsearch
Passed STC:
https://tests.stockfishchess.org/tests/view/64d495995b17f7c21c0e29ed
LLR: 2.95 (-2.94,2.94) <0.00,2.00>
Total: 340288 W: 86664 L: 85910 D: 167714
Ptnml(0-2): 1030, 38855, 89697, 39455, 1107

Passed LTC:
https://tests.stockfishchess.org/tests/view/64d5e1085b17f7c21c0e4ab5
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 193230 W: 49235 L: 48606 D: 95389
Ptnml(0-2): 98, 20432, 54921, 21071, 93

closes https://github.com/official-stockfish/Stockfish/pull/4742

Bench: 1579576
2023-08-13 11:44:17 +02:00
cj5716 222f3ea55b Simplify a depth condition
As the negative extension term has sensitive scaling, it would make more sense to allow more negative extension also at lower depth, and not just a region between low and high depth.

Passed STC:
LLR: 2.96 (-2.94,2.94) <-1.75,0.25>
Total: 124096 W: 31611 L: 31485 D: 61000
Ptnml(0-2): 422, 14437, 32205, 14561, 423
https://tests.stockfishchess.org/tests/view/64d205d75b17f7c21c0dea82

Passed LTC:
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 387882 W: 97840 L: 97993 D: 192049
Ptnml(0-2): 198, 42004, 109668, 41895, 176
https://tests.stockfishchess.org/tests/view/64d333f85b17f7c21c0e06c6

closes https://github.com/official-stockfish/Stockfish/pull/4743

Bench: 1542357
2023-08-13 11:40:35 +02:00
Michael Chaly d97a02ea2b Give extra bonus to main history for moves that caused a fail low. #4744
Current master gives this type of bonuses to continuation history, this patch also gives them to main history.

Passed STC:
https://tests.stockfishchess.org/tests/view/64d4802a5b17f7c21c0e27b3
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 480768 W: 122767 L: 121798 D: 236203
Ptnml(0-2): 1563, 56190, 123834, 57309, 1488

Passed LTC:
https://tests.stockfishchess.org/tests/view/64d7e4c05b17f7c21c0e7456
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 32052 W: 8329 L: 8022 D: 15701
Ptnml(0-2): 19, 3335, 9015, 3634, 23

closes https://github.com/official-stockfish/Stockfish/pull/4744

Bench: 1711793
2023-08-13 11:38:24 +02:00
Joost VandeVondele 4be94f41a6 Update sanitizer CI to ubuntu 22.04
might fix the tsan errors

closes https://github.com/official-stockfish/Stockfish/pull/4745

No functional change
2023-08-13 11:34:00 +02:00
Joost VandeVondele 8192945870 Improve testing coverage, remove unused code
a) Add further tests to CI to cover most features. This uncovered a potential race
in case setoption was sent between two searches. As the UCI protocol requires
this sent to be went the engine is not searching, setoption now ensures that
this is the case.

b) Remove some unused code

closes https://github.com/official-stockfish/Stockfish/pull/4730

No functional change
2023-08-11 19:27:46 +02:00
Tomasz Sobczyk 0d2ddb81ef Fix Makefile for incorrect nnue file
If an incorrect network file is present at the start of the compilation stage, the
Makefile script now correctly removes it before trying to download a clean version.

closes https://github.com/official-stockfish/Stockfish/pull/4726

No functional change
2023-08-11 19:20:29 +02:00
Cody Ho e64b817e0a Remove all references to Score type
Score is obsolete with the removal of psqt.

No functional change.

Signed-off-by: Cody Ho <codyho@stanford.edu>

closes https://github.com/official-stockfish/Stockfish/pull/4724
2023-08-09 18:27:16 +02:00
Michael Chaly 5c2111cc30 Adjust futility pruning base in qsearch
Current master used value from transposition table there if it existed,
this patch uses minimum between this tt value and the static eval instead
(this thus is closer to the main search function, which uses the static eval).

Passed STC:
https://tests.stockfishchess.org/tests/view/64cd57285b17f7c21c0d6a8c
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 252544 W: 64671 L: 64039 D: 123834
Ptnml(0-2): 839, 29207, 65575, 29785, 866

Passed LTC:
https://tests.stockfishchess.org/tests/view/64cf6c915b17f7c21c0d9fcb
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 60150 W: 15374 L: 15012 D: 29764
Ptnml(0-2): 24, 6321, 17024, 6681, 25

closes https://github.com/official-stockfish/Stockfish/pull/4725

Bench: 1573024
2023-08-07 07:24:11 +02:00
FauziAkram a26f8d37e1 Tweak formula for pruning moves losing material
Simplify the "Prune moves with negative SEE" formula,
by removing one multiplication and subtraction operation.

Passed STC:
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 214272 W: 54596 L: 54572 D: 105104
Ptnml(0-2): 741, 25160, 55320, 25164, 751
https://tests.stockfishchess.org/tests/view/64c430d1dc56e1650abbdbf6

Passed LTC:
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 238380 W: 60600 L: 60601 D: 117179
Ptnml(0-2): 132, 26069, 66791, 26064, 134
https://tests.stockfishchess.org/tests/view/64c81f155b17f7c21c0cee2b

closes https://github.com/official-stockfish/Stockfish/pull/4721

bench: 1655337
2023-08-06 22:25:58 +02:00
Linmiao Xu 0ad9b51dea Remove classical psqt
Based on vondele's deletepsqt branch:
https://github.com/vondele/Stockfish/commit/369f5b051

This huge simplification uses a weighted material differences instead of
the positional piece square tables (psqt) in the semi-classical complexity
calculation. Tuned weights using spsa at 45+0.45 with:

int pawnMult = 100;
int knightMult = 325;
int bishopMult = 350;
int rookMult = 500;
int queenMult = 900;
TUNE(SetRange(0, 200), pawnMult);
TUNE(SetRange(0, 650), knightMult);
TUNE(SetRange(0, 700), bishopMult);
TUNE(SetRange(200, 800), rookMult);
TUNE(SetRange(600, 1200), queenMult);

The values obtained via this tuning session were for a model where
the psqt replacement formula was always from the point of view of White,
even if the side to move was Black. We re-used the same values for an
implementation with a psqt replacement from the point of view of the side
to move, testing the result both on our standard book on positions with
a strong White bias, and an alternate book with positions with a strong
Black bias.

We note that with the patch the last use of the venerable "Score" type
disappears in Stockfish codebase (the Score type was used in classical
evaluation to get a tampered eval interpolating values smoothly from the
early midgame stage to the endgame stage). We leave it to another commit
to clean all occurrences of Score in the code and the comments.

-------

Passed non-regression LTC:
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 142542 W: 36264 L: 36168 D: 70110
Ptnml(0-2): 76, 15578, 39856, 15696, 65
https://tests.stockfishchess.org/tests/view/64c8cb495b17f7c21c0cf9f8

Passed non-regression LTC (with a book with Black bias):
https://tests.stockfishchess.org/tests/view/64c8f9295b17f7c21c0cfdaf
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 494814 W: 125565 L: 125827 D: 243422
Ptnml(0-2): 244, 53926, 139346, 53630, 261

------

closes https://github.com/official-stockfish/Stockfish/pull/4713

Bench: 1655985
2023-08-06 22:16:52 +02:00
AndrovT a6d9a302b8 Implement AffineTransformSparseInput for armv8
Implements AffineTransformSparseInput layer for the NNUE evaluation
for the armv8 and armv8-dotprod architectures. We measured some nice
speed improvements via 10 runs of our benchmark:

armv8, Cortex-X1                  :   18.5% speed-up
armv8, Cortex-A76                 :   13.2% speed-up
armv8-dotprod, Cortex-X1          :   27.1% speed-up
armv8-dotprod, Cortex-A76         :   12.1% speed-up
armv8, Cortex-A72, Raspberry Pi 4 :    8.2% speed-up (thanks Torom!)

closes https://github.com/official-stockfish/Stockfish/pull/4719

No functional change
2023-08-06 21:22:37 +02:00
ppigazzini 4c43e1e27c Add new CPU archs in CI Tests workflow
Add CPU archs: armv8-dotprod, riscv64 and ppc64le.
The last two archs are built using QEMU multiarch docker container.

References:
https://docs.docker.com/build/building/multi-platform/
https://github.com/docker/setup-buildx-action
https://github.com/docker/setup-qemu-action
https://github.com/tonistiigi/binfmt
https://stackoverflow.com/questions/72444103/what-does-running-the-multiarch-qemu-user-static-does-before-building-a-containe

closes https://github.com/official-stockfish/Stockfish/pull/4718

No functional change
2023-08-06 21:17:33 +02:00
Niklas Fiekas 002a50457c Identify NEON_DOTPROD in compiler_info()
closes https://github.com/official-stockfish/Stockfish/pull/4712

No functional change
2023-08-06 21:14:39 +02:00
rn5f107s2 65ece7d985 Malus during move ordering for putting pieces en prise
The original idea is the reverse of a previous patch [1] which added bonuses
in our move picker to moves escaping threats. In this patch, in addition to
bonuses for evading threats, we apply penalties to moves moving to threatened
squares.

Further tweaks of that basic idea resulted in this specific version which
further increases the penalty of moves moving to squares threatend depending
on the piece threatening it. So for example a queen moving to a square attacked
by a pawn would receive a larger penalty than a queen moving to square attacked
by a rook.

[1]: https://github.com/official-stockfish/Stockfish/commit/08e0f52b77edb929989c68c49e954b9bc5d7d67e

--------

Passed STC:
https://tests.stockfishchess.org/tests/live_elo/64c11269dc56e1650abb935d
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 95552 W: 24654 L: 24250 D: 46648
Ptnml(0-2): 322, 11098, 24562, 11442, 352

Passed LTC:
https://tests.stockfishchess.org/tests/live_elo/64c2004ddc56e1650abba8b3
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 190230 W: 48806 L: 48178 D: 93246
Ptnml(0-2): 90, 20439, 53453, 21019, 114

-------

closes https://github.com/official-stockfish/Stockfish/pull/4711

Bench: 1350831
2023-07-29 00:56:26 +02:00
Stéphane Nicolet f84eb1f3ef Improve some comments
- clarify the examples for the bench command
- typo  in search.cpp

closes https://github.com/official-stockfish/Stockfish/pull/4710

No functional change
2023-07-28 23:38:49 +02:00
mstembera cb22520a9c Remove unused return type from propagate()
Also make two get_weight_index() static methods constexpr, for
consistency with the other static get_hash_value() method right above.
Tested for speed by user Torom (thanks).

closes https://github.com/official-stockfish/Stockfish/pull/4708

No functional change
2023-07-28 23:24:42 +02:00
FauziAkram 2667316ffc Simplify one multicut extension
Simplify away the ttValue <= alpha extension in the multicut block.

Passed STC:
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 318336 W: 81307 L: 81398 D: 155631
Ptnml(0-2): 1088, 37291, 82469, 37264, 1056
https://tests.stockfishchess.org/tests/view/64b8589fdc56e1650abad61d

Passed LTC:
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 89388 W: 22925 L: 22775 D: 43688
Ptnml(0-2): 34, 9635, 25210, 9777, 38
https://tests.stockfishchess.org/tests/view/64bc41d0dc56e1650abb29cb

closes https://github.com/official-stockfish/Stockfish/pull/4709

bench: 1604592
2023-07-25 16:43:35 +02:00
Stephen Touset 027713c4b4 Remove Zobrist::noPawns
Zobrist::noPawns is no longer used.

closes https://github.com/official-stockfish/Stockfish/pull/4344

no functional change
2023-07-25 00:13:38 +02:00
Stefan Geschwentner 76e1e8fd39 Simplify TT cutoff
Remove the exact bound condition from TT depth check.

STC:
https://tests.stockfishchess.org/tests/view/64b30b320cdec37b957359e9
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 332928 W: 84895 L: 85003 D: 163030
Ptnml(0-2): 1242, 39200, 85604, 39260, 1158

LTC:
https://tests.stockfishchess.org/tests/view/64b74e2adc56e1650abac0b6
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 92946 W: 23628 L: 23482 D: 45836
Ptnml(0-2): 38, 10033, 26192, 10165, 45

closes https://github.com/official-stockfish/Stockfish/pull/4702

Bench: 1601764
2023-07-24 02:23:43 +02:00
windfishballad 78e3d2ad78 Simplify some qsearch conditions
Use the assert which ensures that beta == alpha+1 at PVNodes
to simplify a little bit the conditions further down in the code.

passed STC:
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 56160 W: 14370 L: 14173 D: 27617
Ptnml(0-2): 210, 6192, 15076, 6395, 207
https://tests.stockfishchess.org/tests/view/64bc769cdc56e1650abb2e26

closes https://tests.stockfishchess.org/tests/view/64bc769cdc56e1650abb2e26

No functional change
2023-07-24 02:09:44 +02:00
Joost VandeVondele 4b2979760f Check clock more often
This patch changes the frequency with which the time is checked, changing
frequency from every 1024 counted nodes to every 512 counted nodes. The
master value was tuned for the old classical eval, the patch takes the
roughly 2x slowdown in nps with SFNNUEv7 into account. This could reduce
a bit the losses on time on fishtest, but they are probably unrelated.

passed STC:
https://tests.stockfishchess.org/tests/view/64bb8ae5dc56e1650abb1b11
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 76576 W: 19677 L: 19501 D: 37398
Ptnml(0-2): 274, 8592, 20396, 8736, 290

closes https://github.com/official-stockfish/Stockfish/pull/4704

No functional change
2023-07-24 01:56:20 +02:00
Michael Chaly 5ea1cbc778 Do more futility pruning for cutNodes that are not in TT
This is somewhat similar to IIR for cutnodes but instead of reducing
depth for cutnodes that don't have tt move we reduce margin multiplier
in futility pruning for cutnodes that are not in TT.

Passed STC:
https://tests.stockfishchess.org/tests/view/64b244b90cdec37b95734c5b
LLR: 2.95 (-2.94,2.94) <0.00,2.00>
Total: 75552 W: 19404 L: 19029 D: 37119
Ptnml(0-2): 233, 8806, 19378, 9071, 288

Passed LTC:
https://tests.stockfishchess.org/tests/view/64b3ae5a0cdec37b95736516
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 104988 W: 27152 L: 26697 D: 51139
Ptnml(0-2): 41, 11259, 29446, 11700, 48

closes https://github.com/official-stockfish/Stockfish/pull/4700

bench 1727577
2023-07-19 21:40:38 +02:00
mstembera 1444837887 Remove inline assembly
closes https://github.com/official-stockfish/Stockfish/pull/4698

No functional change
2023-07-19 21:39:51 +02:00
Cody Ho 3fe0d5c533 Unused code cleanup
closes https://github.com/official-stockfish/Stockfish/pull/4696

No functional change
2023-07-19 21:38:39 +02:00
Jorge 6abd0bd9fb Add CodeQL workflow
add CI tooling to detect security bugs.

closes https://github.com/official-stockfish/Stockfish/pull/4659

No functional change
2023-07-19 21:36:38 +02:00
rn5f107s2 42d28424bc Removes a few Bitboards and functions
No longer used

closes https://github.com/official-stockfish/Stockfish/pull/4695

No functional change
2023-07-18 08:10:11 +02:00
Robert Nurnberg @ elitebook 6a31f54d3c remove evalType from bench
no longer used

closes https://github.com/official-stockfish/Stockfish/pull/4694

No functional change
2023-07-18 08:09:52 +02:00
Joost VandeVondele 34d0c1b527 Switch to macos 13 for CI
allows for building x86-64-avx2 and x86-64-bmi2 binaries for mac

install coreutils
show hardware capabilities as seen by the compilers
move some tests from sse41 to avx2 as platforms support it

closes https://github.com/official-stockfish/Stockfish/pull/4692

No functional change
2023-07-16 22:27:13 +02:00
Joost VandeVondele d70a905ce3 Deprecate the x86-64-modern arch
Explicitly describe the architecture as deprecated,
it remains available as its current alias x86-64-sse41-popcnt

CPUs that support just this instruction set are now years old,
any few years old Intel or AMD CPU supports x86-64-avx2. However,
naming things 'modern' doesn't age well, so instead use explicit names.

Adjust CI accordingly. Wiki, fishtest, downloader done as well.

closes https://github.com/official-stockfish/Stockfish/pull/4691

No functional change.
2023-07-16 17:47:25 +02:00
Michael Chaly 913574f421 Remove improvement variable
No longer used in a meaningful way.
Improve comments.

Closes https://github.com/official-stockfish/Stockfish/pull/4688

No functional change
2023-07-16 15:18:41 +02:00
maxim 18fdc2df3c Remove pawnKey from StateInfo
Remove pawnKey since it is not used anymore.

Passed Non-regression STC:
https://tests.stockfishchess.org/tests/view/64b023110cdec37b9573265c
LLR: 2.96 (-2.94,2.94) <-1.75,0.25>
Total: 334848 W: 85440 L: 85545 D: 163863
Ptnml(0-2): 1134, 38101, 89075, 37964, 1150

closes https://github.com/official-stockfish/Stockfish/pull/4687

No functional change
2023-07-16 15:16:14 +02:00
Joost VandeVondele e8a5c64988 Consolidate to centipawns conversion
avoid doing this calculations in multiple places.

closes https://github.com/official-stockfish/Stockfish/pull/4686

No functional change
2023-07-16 15:14:50 +02:00
Joost VandeVondele e89469925d Remove some CI parts not yet working
downgrading compiler didn't work for windows build. Stick to gcc 13 for now.
Windows x86-32 not a 32bit binary, remove.

closes https://github.com/official-stockfish/Stockfish/pull/4685

No functional change
2023-07-16 15:13:24 +02:00
AndrovT a42ab95e1f remove large input specialization
Removes unused large input specialization for dense affine transform. It has been obsolete since #4612 was merged.

closes https://github.com/official-stockfish/Stockfish/pull/4684

No functional change
2023-07-16 15:12:21 +02:00
Linmiao Xu ee53f8ed2f Reintroduce nnue eval pawn count multipliers again
With separate multipliers for nnue eval and optimism scaling.
This patch used 4 out of 7 params tuned with spsa at 30+0.3
using this tuning config:

Value LazyThreshold1 = Value(3622);
Value LazyThreshold2 = Value(1962);
int psqThresh = 2048;
int nnueNpmBase = 945;
int nnuePcMult = 0;
int optNpmBase = 150;
int optPcMult = 0;
TUNE(SetRange(3322, 3922), LazyThreshold1);
TUNE(SetRange(1662, 2262), LazyThreshold2);
TUNE(SetRange(1748, 2348), psqThresh);
TUNE(SetRange(745, 1145), nnueNpmBase);
TUNE(SetRange(-16, 16), nnuePcMult);
TUNE(SetRange(0, 300), optNpmBase);
TUNE(SetRange(-16, 16), optPcMult);

Passed STC:
https://tests.stockfishchess.org/tests/view/64a5a9b402cd07745c60ed07
LLR: 2.95 (-2.94,2.94) <0.00,2.00>
Total: 173632 W: 44417 L: 43903 D: 85312
Ptnml(0-2): 547, 20025, 45068, 20719, 457

Passed LTC:
https://tests.stockfishchess.org/tests/view/64a972a302cd07745c6136af
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 277644 W: 70955 L: 70147 D: 136542
Ptnml(0-2): 193, 29902, 77787, 30784, 156

closes https://github.com/official-stockfish/Stockfish/pull/4681

bench 1556301
2023-07-15 09:16:09 +02:00
Joost VandeVondele a3a91f3f9f Build and test more binaries in CI
use a fixed compiler on Linux and Windows (right now gcc 11).
build avxvnni on Windows (Linux needs updated core utils)
build x86-32 on Linux (Windows needs other mingw)
fix a Makefile issue where a failed PGOBENCH would not stop the build
reuse the WINE_PATH for SDE as we do for QEMU
use WINE_PATH variable also for the signature
verify the bench for each of the binaries
do not build x86-64-avx2 on macos

closes https://github.com/official-stockfish/Stockfish/pull/4682

No functional change
2023-07-15 09:15:16 +02:00
FauziAkram acdbf45171 Use more expressive names for bonus1 and bonus2
closes https://github.com/official-stockfish/Stockfish/pull/4683

No functional change
2023-07-15 09:13:02 +02:00
Joost VandeVondele f5ab5832c6 Generate binaries for more advanced architectures
use intel's Software Development Emulator (SDE) in the actions that build the binaries.
This allows for building on Windows and Linux binaries for
- x86-64-avx512
- x86-64-vnni256
- x86-64-vnni512

(x86-64-avxvnni needs more recent gcc in the actions)

also build x86-64-avx2 on macos.

closes https://github.com/official-stockfish/Stockfish/pull/4679

No functional change
2023-07-13 08:21:17 +02:00
mstembera 529d3be8e2 More simplifications and cleanup in affine_transform_sparse_input.h
closes https://github.com/official-stockfish/Stockfish/pull/4677

No functional change
2023-07-13 08:20:33 +02:00
Sebastian Buchwald f972947492 Cleanup code after removal of classical evaluation
This includes the following changes:
- Remove declaration of removed global variable
- Adapt string that mentions removed UCI option

closes https://github.com/official-stockfish/Stockfish/pull/4675

No functional change
2023-07-13 08:19:37 +02:00
Joost VandeVondele af110e02ec Remove classical evaluation
since the introduction of NNUE (first released with Stockfish 12), we
have maintained the classical evaluation as part of SF in frozen form.
The idea that this code could lead to further inputs to the NN or
search did not materialize. Now, after five releases, this PR removes
the classical evaluation from SF. Even though this evaluation is
probably the best of its class, it has become unimportant for the
engine's strength, and there is little need to maintain this
code (roughly 25% of SF) going forward, or to expend resources on
trying to improve its integration in the NNUE eval.

Indeed, it had still a very limited use in the current SF, namely
for the evaluation of positions that are nearly decided based on
material difference, where the speed of the classical evaluation
outweights its inaccuracies. This impact on strength is small,
roughly 2Elo, and probably decreasing in importance as the TC grows.

Potentially, removal of this code could lead to the development of
techniques to have faster, but less accurate NN evaluation,
for certain positions.

STC
https://tests.stockfishchess.org/tests/view/64a320173ee09aa549c52157
Elo: -2.35 ± 1.1 (95%) LOS: 0.0%
Total: 100000 W: 24916 L: 25592 D: 49492
Ptnml(0-2): 287, 12123, 25841, 11477, 272
nElo: -4.62 ± 2.2 (95%) PairsRatio: 0.95

LTC
https://tests.stockfishchess.org/tests/view/64a320293ee09aa549c5215b
 Elo: -1.74 ± 1.0 (95%) LOS: 0.0%
Total: 100000 W: 25010 L: 25512 D: 49478
Ptnml(0-2): 44, 11069, 28270, 10579, 38
nElo: -3.72 ± 2.2 (95%) PairsRatio: 0.96

VLTC SMP
https://tests.stockfishchess.org/tests/view/64a3207c3ee09aa549c52168
 Elo: -1.70 ± 0.9 (95%) LOS: 0.0%
Total: 100000 W: 25673 L: 26162 D: 48165
Ptnml(0-2): 8, 9455, 31569, 8954, 14
nElo: -3.95 ± 2.2 (95%) PairsRatio: 0.95

closes https://github.com/official-stockfish/Stockfish/pull/4674

Bench: 1444646
2023-07-11 22:56:49 +02:00
Muzhen Gaming 6a8767a0d5 Simplify PvNode reduction
Simplification STC: https://tests.stockfishchess.org/tests/view/64a415803ee09aa549c539c3
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 37856 W: 9719 L: 9504 D: 18633
Ptnml(0-2): 98, 4277, 9977, 4464, 112

Simplification LTC: https://tests.stockfishchess.org/tests/view/64a5ffe202cd07745c60f360
LLR: 2.96 (-2.94,2.94) <-1.75,0.25>
Total: 55878 W: 14323 L: 14138 D: 27417
Ptnml(0-2): 21, 5993, 15732, 6166, 27

closes https://github.com/official-stockfish/Stockfish/pull/4673

Bench: 2604965
2023-07-11 22:55:00 +02:00
Joost VandeVondele ee023d7fd7 Fix CI output
closes https://github.com/official-stockfish/Stockfish/pull/4669

No functional change
2023-07-11 22:53:15 +02:00
Linmiao Xu e699fee513 Update default net to nn-c38c3d8d3920.nnue
This was a later epoch from the same experiment that led to the
previous master net. After training, it was prepared the same way:

1. greedy permuting L1 weights with https://github.com/official-stockfish/Stockfish/pull/4620
2. leb128 compression with https://github.com/glinscott/nnue-pytorch/pull/251
3. greedy 2- and 3- cycle permuting with https://github.com/official-stockfish/Stockfish/pull/4640

Local elo at 25k nodes per move (vs. L1-1536 nn-fdc1d0fe6455.nnue):
nn-epoch739.nnue : 20.2 +/- 1.7

Passed STC:
https://tests.stockfishchess.org/tests/view/64a050b33ee09aa549c4e4c8
LLR: 2.95 (-2.94,2.94) <0.00,2.00>
Total: 195552 W: 49977 L: 49430 D: 96145
Ptnml(0-2): 556, 22775, 50607, 23242, 596

Passed LTC:
https://tests.stockfishchess.org/tests/view/64a127bd3ee09aa549c4f60c
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 235452 W: 60327 L: 59609 D: 115516
Ptnml(0-2): 119, 25173, 66426, 25887, 121

closes https://github.com/official-stockfish/Stockfish/pull/4666

bench 2427629
2023-07-06 23:03:58 +02:00
Joost VandeVondele 9ba24912c1 Add armv8-dotprod to CI binaries
also generate binaries for more recent Android hardware.

closes https://github.com/official-stockfish/Stockfish/pull/4663

No functional change
2023-07-06 23:03:16 +02:00
mstembera f8e65d82eb Simplify away lookup_count.
https://tests.stockfishchess.org/tests/view/64a3c1a93ee09aa549c53167
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 32832 W: 8497 L: 8280 D: 16055
Ptnml(0-2): 80, 3544, 8967, 3729, 96

closes https://github.com/official-stockfish/Stockfish/pull/4662

No functional change
2023-07-06 23:02:11 +02:00
Joost VandeVondele 19e2a88504 Revise extract bench from git log in CI
order commits differently

closes https://github.com/official-stockfish/Stockfish/pull/4668

No functional change
2023-07-06 23:01:27 +02:00
ppigazzini e87e103ca9 Remove leftover braces for if conditional in CI
closes https://github.com/official-stockfish/Stockfish/pull/4660

No functional change
2023-07-03 20:17:14 +02:00
ppigazzini ca5d9a5ff0 Extract bench according to wiki instructions
- loop through the commits starting from the latest one
- read the bench value from the last match, if any, of the template
  in the commit body text

closes https://github.com/official-stockfish/Stockfish/pull/4627

No functional change
2023-07-03 19:07:06 +02:00
rn5f107s2 95ce443aaa simplified gives check castling
tested verifying perft and bench is unchanged
on a larger set of epds for both standard and FRC chess.

Passed non-regression STC:
https://tests.stockfishchess.org/tests/live_elo/648587be65ffe077ca123d78
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 153632 W: 41015 L: 40928 D: 71689
Ptnml(0-2): 377, 16077, 43816, 16174, 372

closes https://github.com/official-stockfish/Stockfish/pull/4628

No functional change
2023-07-03 18:54:22 +02:00
FauziAkram 9cd563cb54 Improving grammar and readability of comments
closes https://github.com/official-stockfish/Stockfish/pull/4643

No functional change
2023-07-03 18:38:41 +02:00
Muzhen Gaming 5f8480a730 Simplify score improvement reduction
Reduce depth by 2 based on score improvement, only for depths 3 to 11.

Simplification STC: https://tests.stockfishchess.org/tests/view/64929a53dc7002ce609c7807
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 238912 W: 63466 L: 63468 D: 111978
Ptnml(0-2): 564, 26262, 65805, 26262, 563

Simplification LTC: https://tests.stockfishchess.org/tests/view/64942e47dc7002ce609c9e07
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 64452 W: 17485 L: 17320 D: 29647
Ptnml(0-2): 19, 6161, 19706, 6316, 24

closes https://github.com/official-stockfish/Stockfish/pull/4637

Bench: 2740142
2023-07-03 18:33:27 +02:00
Muzhen Gaming eb9aaf9489 Simplify away improvement term in null move search
passed STC:
https://tests.stockfishchess.org/tests/view/649c0d2edc7002ce609d33b5
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 271104 W: 72181 L: 72217 D: 126706
Ptnml(0-2): 691, 30042, 74129, 29992, 698

passed LTC:
https://tests.stockfishchess.org/tests/view/649d0dd7dc7002ce609d4efa
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 183120 W: 49469 L: 49418 D: 84233
Ptnml(0-2): 84, 17636, 56063, 17699, 78

closes https://github.com/official-stockfish/Stockfish/pull/4650

Bench: 2642851
2023-07-03 18:27:33 +02:00
peregrineshahin fa143922ae Fix pruning to (in TB loss) in Null move pruning.
Current logic can apply Null move pruning
on a dead-lost position returning an unproven loss
(i.e. in TB loss score or mated in losing score) on nonPv nodes.

on a default bench, this can be observed by adding this debugging line:
```
if (nullValue >= beta)
{
    // Do not return unproven mate or TB scores
    nullValue = std::min(nullValue, VALUE_TB_WIN_IN_MAX_PLY-1);
    dbg_hit_on(nullValue <= VALUE_TB_LOSS_IN_MAX_PLY); // Hit #0: Total 73983 Hits 1 Hit Rate (%) 0.00135166
    if (thisThread->nmpMinPly || depth < 14)
        return nullValue;
```

This fixes this very rare issue (happens at ~0.00135166% of the time) by
eliminating the need to try Null Move Pruning with dead-lost positions
and leaving it to be determined by a normal searching flow.

The previous try to fix was not as safe enough because it was capping
the returned value to (out of TB range) thus reviving the dead-lost position
based on an artificial clamp (i.e. the in TB score/mate score can be lost on that nonPv node):
https://tests.stockfishchess.org/tests/view/649756d5dc7002ce609cd794

Final fix:
Passed STC:
https://tests.stockfishchess.org/tests/view/649a5446dc7002ce609d1049
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 577280 W: 153613 L: 153965 D: 269702
Ptnml(0-2): 1320, 60594, 165190, 60190, 1346

Passed LTC:
https://tests.stockfishchess.org/tests/view/649cd048dc7002ce609d4801
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 246432 W: 66769 L: 66778 D: 112885
Ptnml(0-2): 83, 22105, 78847, 22100, 81

closes https://github.com/official-stockfish/Stockfish/pull/4649

Bench: 2425978
2023-07-03 18:24:41 +02:00
mstembera 80564bcfcd Simplify lookup_count and clean up pieces().
https://github.com/official-stockfish/Stockfish/pull/4656

No functional change
2023-07-03 18:20:10 +02:00
disservin 8634717c64 Add bmi2 to CI generated binaries
verify bench for avx2 and bmi2 as well

closes https://github.com/official-stockfish/Stockfish/pull/4658

No functional change
2023-07-03 18:17:20 +02:00
ppigazzini 9a2d50eccc Make posix and msys2 shells consistent in CI
In CI, it is typical for the process to halt immediately when an error
is encountered. However, with our `shell: bash {0}` configuration,
the process continues despite errors for posix shells.
This commit updates the behavior of posix and msys2 shells to ensure
consistency in terms of pipeline exit codes and stop conditions.
We adopt the most appropriate default behavior as recommended
by the GitHub documentation.

Update the code that searches for the bench value in the git log:
- to be compatible with the new shell settings
- to retry the value from the first line that contains
  only the template and spaces/tabs/newlines

see also

https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsshell
https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#exit-codes-and-error-action-preference
https://github.com/msys2/setup-msys2/blob/main/main.js

closes https://github.com/official-stockfish/Stockfish/pull/4653

No functional change
2023-07-02 10:32:36 +02:00
Linmiao Xu 915532181f Update NNUE architecture to SFNNv7 with larger L1 size of 2048
Creating this net involved:
- a 5-step training process from scratch
- greedy permuting L1 weights with https://github.com/official-stockfish/Stockfish/pull/4620
- leb128 compression with https://github.com/glinscott/nnue-pytorch/pull/251
- greedy 2- and 3- cycle permuting with https://github.com/official-stockfish/Stockfish/pull/4640

The 5 training steps were:

1. 400 epochs, lambda 1.0, lr 9.75e-4
   UHOx2-wIsRight-multinet-dfrc-n5000-largeGensfen-d9.binpack (178G)
     nodes5000pv2_UHO.binpack
     data_pv-2_diff-100_nodes-5000.binpack
     wrongIsRight_nodes5000pv2.binpack
     multinet_pv-2_diff-100_nodes-5000.binpack
     dfrc_n5000.binpack
     large_gensfen_multipvdiff_100_d9.binpack
   ep399 chosen as start model for step2

2. 800 epochs, end-lambda 0.75, skip 16
   LeelaFarseer-T78juntoaugT79marT80dec.binpack (141G)
     T60T70wIsRightFarseerT60T74T75T76.binpack
     test78-junjulaug2022-16tb7p.no-db.min.binpack
     test79-mar2022-16tb7p.no-db.min.binpack
     test80-dec2022-16tb7p.no-db.min.binpack
   ep559 chosen as start model for step3

3. 800 epochs, end-lambda 0.725, skip 20
   leela96-dfrc99-v2-T80dectofeb-sk20-mar-v6-T77decT78janfebT79apr.binpack (223G)
     leela96-filt-v2.min.binpack
     dfrc99-16tb7p-eval-filt-v2.min.binpack
     test80-dec2022-16tb7p-filter-v6-sk20.min-mar2023.binpack
     test80-jan2023-16tb7p-filter-v6-sk20.min-mar2023.binpack
     test80-feb2023-16tb7p-filter-v6-sk20.min-mar2023.binpack
     test80-mar2023-2tb7p-filter-v6.min.binpack
     test77-dec2021-16tb7p.no-db.min.binpack
     test78-janfeb2022-16tb7p.no-db.min.binpack
     test79-apr2022-16tb7p.no-db.min.binpack
   ep499 chosen as start model for step4

4. 800 epochs, end-lambda 0.7, skip 24
   0dd1cebea57 dataset https://github.com/official-stockfish/Stockfish/pull/4606
   ep599 chosen as start model for step5

5. 800 epochs, end-lambda 0.7, skip 28
   same dataset as step4
   ep619 became nn-1b951f8b449d.nnue

For the final step5 training:

python3 easy_train.py \
  --experiment-name L1-2048-S5-sameData-sk28-S4-0dd1cebea57-shuffled-S3-leela96-dfrc99-v2-T80dectofeb-sk20-mar-v6-T77decT78janfebT79apr-sk20-S2-LeelaFarseerT78T79T80-ep399-S1-UHOx2-wIsRight-multinet-dfrc-n5000-largeGensfen-d9 \
  --training-dataset /data/leela96-dfrc99-T60novdec-v2-T80juntonovjanfebT79aprmayT78jantosepT77dec-v6dd-T80apr.binpack \
  --early-fen-skipping 28 \
  --nnue-pytorch-branch linrock/nnue-pytorch/misc-fixes-L1-2048 \
  --engine-test-branch linrock/Stockfish/L1-2048 \
  --start-from-engine-test-net False \
  --start-from-model /data/experiments/experiment_L1-2048-S4-0dd1cebea57-shuffled-S3-leela96-dfrc99-v2-T80dectofeb-sk20-mar-v6-T77decT78janfebT79apr-sk20-S2-LeelaFarseerT78T79T80-ep399-S1-UHOx2-wIsRight-multinet-dfrc-n5000-largeGensfen-d9/training/run_0/nn-epoch599.nnue
  --max_epoch 800 \
  --lr 4.375e-4 \
  --gamma 0.995 \
  --start-lambda 1.0 \
  --end-lambda 0.7 \
  --tui False \
  --seed $RANDOM \
  --gpus 0

SF training data components for the step1 dataset:
https://drive.google.com/drive/folders/1yLCEmioC3Xx9KQr4T7uB6GnLm5icAYGU

Leela training data for steps 2-5 can be found at:
https://robotmoon.com/nnue-training-data/

Due to larger L1 size and slower inference, the speed penalty loses elo
at STC. Measurements from 100 bench runs at depth 13 with x86-64-modern
on Intel Core i5-1038NG7 2.00GHz:

sf_base =  1240730  +/-   3443 (95%)
sf_test =  1153341  +/-   2832 (95%)
diff    =   -87388  +/-   1616 (95%)
speedup = -7.04330% +/- 0.130% (95%)

Local elo at 25k nodes per move (vs. L1-1536 nn-fdc1d0fe6455.nnue):
nn-epoch619.nnue : 21.1 +/- 3.2

Failed STC:
https://tests.stockfishchess.org/tests/view/6498ee93dc7002ce609cf979
LLR: -2.95 (-2.94,2.94) <0.00,2.00>
Total: 11680 W: 3058 L: 3299 D: 5323
Ptnml(0-2): 44, 1422, 3149, 1181, 44

LTC:
https://tests.stockfishchess.org/tests/view/649b32f5dc7002ce609d20cf
Elo: 0.68 ± 1.5 (95%) LOS: 80.5%
Total: 40000 W: 10887 L: 10809 D: 18304
Ptnml(0-2): 36, 3938, 11958, 4048, 20
nElo: 1.50 ± 3.4 (95%) PairsRatio: 1.02

Passed VLTC 180+1.8:
https://tests.stockfishchess.org/tests/view/64992b43dc7002ce609cfd20
LLR: 3.06 (-2.94,2.94) <0.00,2.00>
Total: 38086 W: 10612 L: 10338 D: 17136
Ptnml(0-2): 9, 3316, 12115, 3598, 5

Passed VLTC SMP 60+0.6 th 8:
https://tests.stockfishchess.org/tests/view/649a21fedc7002ce609d0c7d
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 38936 W: 11091 L: 10820 D: 17025
Ptnml(0-2): 1, 2948, 13305, 3207, 7

closes https://github.com/official-stockfish/Stockfish/pull/4646

Bench: 2505168
2023-07-01 13:34:30 +02:00
cj5716 e551964ef6 Negative extension on cutNodes based on depth
This patch was inspired by candirufish original attempt at negative extensions
here that failed yellow: https://tests.stockfishchess.org/tests/view/6486529065ffe077ca124f32

I tested some variations of the idea and tuned a depth condition for
a modified version of it here https://tests.stockfishchess.org/tests/view/648db80a91c58631ce31fe00
after noticing abnormal scaling (ie many passed STC but not LTC)
After some small tweaks I got the final version here

Passed STC:
LLR: 2.98 (-2.94,2.94) <0.00,2.00>
Total: 122208 W: 32776 L: 32350 D: 57082
Ptnml(0-2): 310, 13250, 33553, 13686, 305
https://tests.stockfishchess.org/tests/view/64997934dc7002ce609d01e3

Passed LTC:
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 145092 W: 39617 L: 39115 D: 66360
Ptnml(0-2): 54, 13691, 44552, 14197, 52
https://tests.stockfishchess.org/tests/view/649a1c5ddc7002ce609d0bff

closes https://github.com/official-stockfish/Stockfish/pull/4644

Bench: 2637784
2023-07-01 13:06:49 +02:00
Stéphane Nicolet e355c70594 Document the LEB128 patch
Add some comments and harmonize style for the LEB128 patch.

closes https://github.com/official-stockfish/Stockfish/pull/4642

No functional change
2023-07-01 13:01:28 +02:00
Daniel Monroe ef94f77f8c Update default net to nn-a3d1bfca1672.nnue
faster permutation of master net weights

Activation data taken from https://drive.google.com/drive/folders/1Ec9YuuRx4N03GPnVPoQOW70eucOKngQe?usp=sharing
Permutation found using https://github.com/Ergodice/nnue-pytorch/blob/836387a0e5e690431d404158c46648710f13904d/ftperm.py
See also https://github.com/glinscott/nnue-pytorch/pull/254

The algorithm greedily selects 2- and 3-cycles that can be permuted to increase the number of runs of zeroes. The percent of zero runs from the master net increased from 68.46 to 70.11 from 2-cycles and only increased to 70.32 when considering 3-cycles. Interestingly, allowing both halves of L1 to intermix when creating zero runs can give another 0.5% zero-run density increase with this method.

Measured speedup:

```
CPU: 16 x AMD Ryzen 9 3950X 16-Core Processor
Result of 50 runs

base (./stockfish.master ) = 1561556 +/- 5439
test (./stockfish.patch ) = 1575788 +/- 5427
diff = +14231 +/- 2636

speedup = +0.0091
P(speedup > 0) = 1.0000
```

closes https://github.com/official-stockfish/Stockfish/pull/4640

No functional change
2023-07-01 12:59:28 +02:00
Joost VandeVondele 0fd186fb28 Restore development
closes https://github.com/official-stockfish/Stockfish/pull/4651

No functional change
2023-07-01 12:52:31 +02:00
84 changed files with 10540 additions and 12657 deletions
+44
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@@ -0,0 +1,44 @@
AccessModifierOffset: -1
AlignAfterOpenBracket: Align
AlignConsecutiveAssignments: Consecutive
AlignConsecutiveDeclarations: Consecutive
AlignEscapedNewlines: DontAlign
AlignOperands: AlignAfterOperator
AlignTrailingComments: true
AllowAllParametersOfDeclarationOnNextLine: true
AllowShortCaseLabelsOnASingleLine: false
AllowShortEnumsOnASingleLine: false
AllowShortIfStatementsOnASingleLine: false
AlwaysBreakTemplateDeclarations: Yes
BasedOnStyle: WebKit
BitFieldColonSpacing: After
BinPackParameters: false
BreakBeforeBinaryOperators: NonAssignment
BreakBeforeBraces: Custom
BraceWrapping:
AfterFunction: false
AfterClass: false
AfterControlStatement: true
BeforeElse: true
BreakBeforeTernaryOperators: true
BreakConstructorInitializers: AfterColon
BreakStringLiterals: false
ColumnLimit: 100
ContinuationIndentWidth: 2
Cpp11BracedListStyle: true
IndentGotoLabels: false
IndentPPDirectives: BeforeHash
IndentWidth: 4
MaxEmptyLinesToKeep: 2
NamespaceIndentation: None
PackConstructorInitializers: Never
ReflowComments: false
SortIncludes: false
SortUsingDeclarations: false
SpaceAfterCStyleCast: true
SpaceAfterTemplateKeyword: false
SpaceBeforeCaseColon: true
SpaceBeforeCpp11BracedList: false
SpaceBeforeInheritanceColon: false
SpaceInEmptyBlock: false
SpacesBeforeTrailingComments: 2
+7
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@@ -0,0 +1,7 @@
# .git-blame-ignore-revs
# Ignore commit which added clang-format
2d0237db3f0e596fb06e3ffbadba84dcc4e018f6
# Post commit formatting fixes
0fca5605fa2e5e7240fde5e1aae50952b2612231
08ed4c90db31959521b7ef3186c026edd1e90307
+1 -1
View File
@@ -2,7 +2,7 @@ blank_issues_enabled: false
contact_links:
- name: Discord server
url: https://discord.gg/GWDRS3kU6R
about: Feel free to ask for support or have a chat with us in our Discord server!
about: Feel free to ask for support or have a chat with us on our Discord server!
- name: Discussions, Q&A, ideas, show us something...
url: https://github.com/official-stockfish/Stockfish/discussions/new
about: Do you have an idea for Stockfish? Do you want to show something that you made? Please open a discussion about it!
+51
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@@ -0,0 +1,51 @@
{
"config": [
{
"name": "Android NDK aarch64",
"os": "ubuntu-22.04",
"simple_name": "android",
"compiler": "aarch64-linux-android21-clang++",
"emu": "qemu-aarch64",
"comp": "ndk",
"shell": "bash",
"archive_ext": "tar"
},
{
"name": "Android NDK arm",
"os": "ubuntu-22.04",
"simple_name": "android",
"compiler": "armv7a-linux-androideabi21-clang++",
"emu": "qemu-arm",
"comp": "ndk",
"shell": "bash",
"archive_ext": "tar"
}
],
"binaries": ["armv8-dotprod", "armv8", "armv7", "armv7-neon"],
"exclude": [
{
"binaries": "armv8-dotprod",
"config": {
"compiler": "armv7a-linux-androideabi21-clang++"
}
},
{
"binaries": "armv8",
"config": {
"compiler": "armv7a-linux-androideabi21-clang++"
}
},
{
"binaries": "armv7",
"config": {
"compiler": "aarch64-linux-android21-clang++"
}
},
{
"binaries": "armv7-neon",
"config": {
"compiler": "aarch64-linux-android21-clang++"
}
}
]
}
+21
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@@ -0,0 +1,21 @@
[
# Mappings for libcxx's internal headers
{ include: [ "<__fwd/fstream.h>", private, "<iosfwd>", public ] },
{ include: [ "<__fwd/ios.h>", private, "<iosfwd>", public ] },
{ include: [ "<__fwd/istream.h>", private, "<iosfwd>", public ] },
{ include: [ "<__fwd/ostream.h>", private, "<iosfwd>", public ] },
{ include: [ "<__fwd/sstream.h>", private, "<iosfwd>", public ] },
{ include: [ "<__fwd/streambuf.h>", private, "<iosfwd>", public ] },
{ include: [ "<__fwd/string_view.h>", private, "<string_view>", public ] },
# Mappings for includes between public headers
{ include: [ "<ios>", public, "<iostream>", public ] },
{ include: [ "<streambuf>", public, "<iostream>", public ] },
{ include: [ "<istream>", public, "<iostream>", public ] },
{ include: [ "<ostream>", public, "<iostream>", public ] },
{ include: [ "<iosfwd>", public, "<iostream>", public ] },
# Missing mappings in include-what-you-use's libcxx.imp
{ include: ["@<__condition_variable/.*>", private, "<condition_variable>", public ] },
{ include: ["@<__mutex/.*>", private, "<mutex>", public ] },
]
+160
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@@ -0,0 +1,160 @@
{
"config": [
{
"name": "Ubuntu 20.04 GCC",
"os": "ubuntu-20.04",
"simple_name": "ubuntu",
"compiler": "g++",
"comp": "gcc",
"shell": "bash",
"archive_ext": "tar",
"sde": "/home/runner/work/Stockfish/Stockfish/.output/sde-temp-files/sde-external-9.27.0-2023-09-13-lin/sde -future --"
},
{
"name": "MacOS 13 Apple Clang",
"os": "macos-13",
"simple_name": "macos",
"compiler": "clang++",
"comp": "clang",
"shell": "bash",
"archive_ext": "tar"
},
{
"name": "MacOS 14 Apple Clang M1",
"os": "macos-14",
"simple_name": "macos-m1",
"compiler": "clang++",
"comp": "clang",
"shell": "bash",
"archive_ext": "tar"
},
{
"name": "Windows 2022 Mingw-w64 GCC x86_64",
"os": "windows-2022",
"simple_name": "windows",
"compiler": "g++",
"comp": "mingw",
"msys_sys": "mingw64",
"msys_env": "x86_64-gcc",
"shell": "msys2 {0}",
"ext": ".exe",
"sde": "/d/a/Stockfish/Stockfish/.output/sde-temp-files/sde-external-9.27.0-2023-09-13-win/sde.exe -future --",
"archive_ext": "zip"
}
],
"binaries": [
"x86-64",
"x86-64-sse41-popcnt",
"x86-64-avx2",
"x86-64-bmi2",
"x86-64-avxvnni",
"x86-64-avx512",
"x86-64-vnni256",
"x86-64-vnni512",
"apple-silicon"
],
"exclude": [
{
"binaries": "x86-64",
"config": {
"os": "macos-14"
}
},
{
"binaries": "x86-64-sse41-popcnt",
"config": {
"os": "macos-14"
}
},
{
"binaries": "x86-64-avx2",
"config": {
"os": "macos-14"
}
},
{
"binaries": "x86-64-bmi2",
"config": {
"os": "macos-14"
}
},
{
"binaries": "x86-64-avxvnni",
"config": {
"os": "macos-14"
}
},
{
"binaries": "x86-64-avxvnni",
"config": {
"os": "macos-14"
}
},
{
"binaries": "x86-64-avx512",
"config": {
"os": "macos-14"
}
},
{
"binaries": "x86-64-vnni256",
"config": {
"os": "macos-14"
}
},
{
"binaries": "x86-64-vnni512",
"config": {
"os": "macos-14"
}
},
{
"binaries": "x86-64-avxvnni",
"config": {
"ubuntu-20.04": null
}
},
{
"binaries": "x86-64-avxvnni",
"config": {
"os": "macos-13"
}
},
{
"binaries": "x86-64-avx512",
"config": {
"os": "macos-13"
}
},
{
"binaries": "x86-64-vnni256",
"config": {
"os": "macos-13"
}
},
{
"binaries": "x86-64-vnni512",
"config": {
"os": "macos-13"
}
},
{
"binaries": "apple-silicon",
"config": {
"os": "windows-2022"
}
},
{
"binaries": "apple-silicon",
"config": {
"os": "macos-13"
}
},
{
"binaries": "apple-silicon",
"config": {
"os": "ubuntu-20.04"
}
}
]
}
+94
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@@ -0,0 +1,94 @@
name: Compilation
on:
workflow_call:
inputs:
matrix:
type: string
required: true
jobs:
Compilation:
name: ${{ matrix.config.name }} ${{ matrix.binaries }}
runs-on: ${{ matrix.config.os }}
env:
COMPILER: ${{ matrix.config.compiler }}
COMP: ${{ matrix.config.comp }}
EMU: ${{ matrix.config.emu }}
EXT: ${{ matrix.config.ext }}
BINARY: ${{ matrix.binaries }}
strategy:
fail-fast: false
matrix: ${{ fromJson(inputs.matrix) }}
defaults:
run:
working-directory: src
shell: ${{ matrix.config.shell }}
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Download required linux packages
if: runner.os == 'Linux'
run: |
sudo apt update
sudo apt install qemu-user
- name: Install NDK
if: runner.os == 'Linux'
run: |
if [ $COMP == ndk ]; then
NDKV="21.4.7075529"
ANDROID_ROOT=/usr/local/lib/android
ANDROID_SDK_ROOT=$ANDROID_ROOT/sdk
SDKMANAGER=$ANDROID_SDK_ROOT/cmdline-tools/latest/bin/sdkmanager
echo "y" | $SDKMANAGER "ndk;$NDKV"
ANDROID_NDK_ROOT=$ANDROID_SDK_ROOT/ndk/$NDKV
ANDROID_NDK_BIN=$ANDROID_NDK_ROOT/toolchains/llvm/prebuilt/linux-x86_64/bin
echo "ANDROID_NDK_BIN=$ANDROID_NDK_BIN" >> $GITHUB_ENV
fi
- name: Extract the bench number from the commit history
run: |
for hash in $(git rev-list -100 HEAD); do
benchref=$(git show -s $hash | tac | grep -m 1 -o -x '[[:space:]]*\b[Bb]ench[ :]\+[1-9][0-9]\{5,7\}\b[[:space:]]*' | sed 's/[^0-9]//g') && break || true
done
[[ -n "$benchref" ]] && echo "benchref=$benchref" >> $GITHUB_ENV && echo "From commit: $hash" && echo "Reference bench: $benchref" || echo "No bench found"
- name: Download the used network from the fishtest framework
run: make net
- name: Check compiler
run: |
if [ $COMP == ndk ]; then
export PATH=${{ env.ANDROID_NDK_BIN }}:$PATH
fi
$COMPILER -v
- name: Test help target
run: make help
- name: Check git
run: git --version
# Compile profile guided builds
- name: Compile ${{ matrix.binaries }} build
run: |
if [ $COMP == ndk ]; then
export PATH=${{ env.ANDROID_NDK_BIN }}:$PATH
export LDFLAGS="-static -Wno-unused-command-line-argument"
fi
make clean
make -j4 profile-build ARCH=$BINARY COMP=$COMP WINE_PATH=$EMU
make strip ARCH=$BINARY COMP=$COMP
WINE_PATH=$EMU ../tests/signature.sh $benchref
mv ./stockfish$EXT ../stockfish-android-$BINARY$EXT
- name: Remove non src files
run: git clean -fx
- name: Upload artifact for (pre)-release
uses: actions/upload-artifact@v4
with:
name: ${{ matrix.config.simple_name }} ${{ matrix.binaries }}
path: .
+51
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@@ -0,0 +1,51 @@
# This workflow will run clang-format and comment on the PR.
# Because of security reasons, it is crucial that this workflow
# executes no shell script nor runs make.
# Read this before editing: https://securitylab.github.com/research/github-actions-preventing-pwn-requests/
name: Clang-Format
on:
pull_request_target:
branches:
- "master"
paths:
- "**.cpp"
- "**.h"
jobs:
Clang-Format:
name: Clang-Format
runs-on: ubuntu-20.04
steps:
- uses: actions/checkout@v4
with:
ref: ${{ github.event.pull_request.head.sha }}
- name: Run clang-format style check
uses: jidicula/clang-format-action@f62da5e3d3a2d88ff364771d9d938773a618ab5e # @v4.11.0
id: clang-format
continue-on-error: true
with:
clang-format-version: "17"
exclude-regex: "incbin"
- name: Comment on PR
if: steps.clang-format.outcome == 'failure'
uses: thollander/actions-comment-pull-request@1d3973dc4b8e1399c0620d3f2b1aa5e795465308 # @v2.4.3
with:
message: |
clang-format 17 needs to be run on this PR.
If you do not have clang-format installed, the maintainer will run it when merging.
For the exact version please see https://packages.ubuntu.com/mantic/clang-format-17.
_(execution **${{ github.run_id }}** / attempt **${{ github.run_attempt }}**)_
comment_tag: execution
- name: Comment on PR
if: steps.clang-format.outcome != 'failure'
uses: thollander/actions-comment-pull-request@1d3973dc4b8e1399c0620d3f2b1aa5e795465308 # @v2.4.3
with:
message: |
_(execution **${{ github.run_id }}** / attempt **${{ github.run_attempt }}**)_
create_if_not_exists: false
comment_tag: execution
mode: delete
+53
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@@ -0,0 +1,53 @@
name: "CodeQL"
on:
push:
branches: ["master"]
pull_request:
# The branches below must be a subset of the branches above
branches: ["master"]
schedule:
- cron: "17 18 * * 1"
jobs:
analyze:
name: Analyze
runs-on: ubuntu-latest
permissions:
actions: read
contents: read
security-events: write
strategy:
fail-fast: false
matrix:
language: ["cpp"]
# CodeQL supports [ 'cpp', 'csharp', 'go', 'java', 'javascript', 'python', 'ruby' ]
# Use only 'java' to analyze code written in Java, Kotlin, or both
# Use only 'javascript' to analyze code written in JavaScript, TypeScript or both
# Learn more about CodeQL language support at https://aka.ms/codeql-docs/language-support
steps:
- name: Checkout repository
uses: actions/checkout@v4
# Initializes the CodeQL tools for scanning.
- name: Initialize CodeQL
uses: github/codeql-action/init@v3
with:
languages: ${{ matrix.language }}
# If you wish to specify custom queries, you can do so here or in a config file.
# By default, queries listed here will override any specified in a config file.
# Prefix the list here with "+" to use these queries and those in the config file.
# For more details on CodeQL's query packs, refer to: https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/configuring-code-scanning#using-queries-in-ql-packs
# queries: security-extended,security-and-quality
- name: Build
working-directory: src
run: make -j build ARCH=x86-64-modern
- name: Perform CodeQL Analysis
uses: github/codeql-action/analyze@v3
with:
category: "/language:${{matrix.language}}"
+89
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@@ -0,0 +1,89 @@
name: Compilation
on:
workflow_call:
inputs:
matrix:
type: string
required: true
jobs:
Compilation:
name: ${{ matrix.config.name }} ${{ matrix.binaries }}
runs-on: ${{ matrix.config.os }}
env:
COMPILER: ${{ matrix.config.compiler }}
COMP: ${{ matrix.config.comp }}
EXT: ${{ matrix.config.ext }}
NAME: ${{ matrix.config.simple_name }}
BINARY: ${{ matrix.binaries }}
SDE: ${{ matrix.config.sde }}
strategy:
fail-fast: false
matrix: ${{ fromJson(inputs.matrix) }}
defaults:
run:
working-directory: src
shell: ${{ matrix.config.shell }}
steps:
- uses: actions/checkout@v4
- name: Install fixed GCC on Linux
if: runner.os == 'Linux'
uses: egor-tensin/setup-gcc@eaa888eb19115a521fa72b65cd94fe1f25bbcaac # @v1.3
with:
version: 11
- name: Setup msys and install required packages
if: runner.os == 'Windows'
uses: msys2/setup-msys2@v2
with:
msystem: ${{ matrix.config.msys_sys }}
install: mingw-w64-${{ matrix.config.msys_env }} make git zip
- name: Download SDE package
if: runner.os == 'Linux' || runner.os == 'Windows'
uses: petarpetrovt/setup-sde@91a1a03434384e064706634125a15f7446d2aafb # @v2.3
with:
environmentVariableName: SDE_DIR
sdeVersion: 9.27.0
- name: Download the used network from the fishtest framework
run: make net
- name: Check compiler
run: $COMPILER -v
- name: Test help target
run: make help
- name: Check git
run: git --version
- name: Check compiler
run: $COMPILER -v
- name: Show g++ cpu info
if: runner.os != 'macOS'
run: g++ -Q -march=native --help=target
- name: Show clang++ cpu info
if: runner.os == 'macOS'
run: clang++ -E - -march=native -###
# x86-64 with newer extensions tests
- name: Compile ${{ matrix.config.binaries }} build
run: |
make clean
make -j4 profile-build ARCH=$BINARY COMP=$COMP WINE_PATH="$SDE"
make strip ARCH=$BINARY COMP=$COMP
WINE_PATH="$SDE" ../tests/signature.sh $benchref
mv ./stockfish$EXT ../stockfish-$NAME-$BINARY$EXT
- name: Remove non src files
run: git clean -fx
- name: Upload artifact for (pre)-release
uses: actions/upload-artifact@v4
with:
name: ${{ matrix.config.simple_name }} ${{ matrix.binaries }}
path: .
+47
View File
@@ -0,0 +1,47 @@
name: IWYU
on:
workflow_call:
jobs:
Analyzers:
name: Check includes
runs-on: ubuntu-22.04
defaults:
run:
working-directory: Stockfish/src
shell: bash
steps:
- name: Checkout Stockfish
uses: actions/checkout@v4
with:
path: Stockfish
- name: Checkout include-what-you-use
uses: actions/checkout@v4
with:
repository: include-what-you-use/include-what-you-use
ref: f25caa280dc3277c4086ec345ad279a2463fea0f
path: include-what-you-use
- name: Download required linux packages
run: |
sudo add-apt-repository 'deb http://apt.llvm.org/jammy/ llvm-toolchain-jammy-17 main'
wget -O - https://apt.llvm.org/llvm-snapshot.gpg.key | sudo apt-key add -
sudo apt update
sudo apt install -y libclang-17-dev clang-17 libc++-17-dev
- name: Set up include-what-you-use
run: |
mkdir build && cd build
cmake -G "Unix Makefiles" -DCMAKE_PREFIX_PATH="/usr/lib/llvm-17" ..
sudo make install
working-directory: include-what-you-use
- name: Check include-what-you-use
run: include-what-you-use --version
- name: Check includes
run: >
make analyze
COMP=clang
CXX=include-what-you-use
CXXFLAGS="-stdlib=libc++ -Xiwyu --comment_style=long -Xiwyu --mapping='${{ github.workspace }}/Stockfish/.github/ci/libcxx17.imp' -Xiwyu --error"
@@ -1,8 +1,8 @@
name: Stockfish
name: Sanitizers
on:
workflow_call:
jobs:
Stockfish:
Test-under-sanitizers:
name: ${{ matrix.sanitizers.name }}
runs-on: ${{ matrix.config.os }}
env:
@@ -10,13 +10,14 @@ jobs:
COMP: ${{ matrix.config.comp }}
CXXFLAGS: "-Werror"
strategy:
fail-fast: false
matrix:
config:
- name: Ubuntu 20.04 GCC
os: ubuntu-20.04
- name: Ubuntu 22.04 GCC
os: ubuntu-22.04
compiler: g++
comp: gcc
shell: bash {0}
shell: bash
sanitizers:
- name: Run with thread sanitizer
make_option: sanitize=thread
@@ -35,9 +36,7 @@ jobs:
working-directory: src
shell: ${{ matrix.config.shell }}
steps:
- uses: actions/checkout@v3
with:
fetch-depth: 0
- uses: actions/checkout@v4
- name: Download required linux packages
run: |
@@ -62,5 +61,5 @@ jobs:
run: |
export CXXFLAGS="-O1 -fno-inline"
make clean
make -j2 ARCH=x86-64-modern ${{ matrix.sanitizers.make_option }} debug=yes optimize=no build > /dev/null
make -j4 ARCH=x86-64-sse41-popcnt ${{ matrix.sanitizers.make_option }} debug=yes optimize=no build > /dev/null
../tests/instrumented.sh --${{ matrix.sanitizers.instrumented_option }}
+45 -20
View File
@@ -1,8 +1,8 @@
name: Stockfish
on:
push:
tags:
- '*'
tags:
- "*"
branches:
- master
- tools
@@ -13,13 +13,9 @@ on:
- tools
jobs:
Prerelease:
if: github.ref == 'refs/heads/master'
if: github.repository == 'official-stockfish/Stockfish' && (github.ref == 'refs/heads/master' || (startsWith(github.ref_name, 'sf_') && github.ref_type == 'tag'))
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
with:
fetch-depth: 0
# returns null if no pre-release exists
- name: Get Commit SHA of Latest Pre-release
run: |
@@ -29,23 +25,52 @@ jobs:
echo "COMMIT_SHA=$(jq -r 'map(select(.prerelease)) | first | .tag_name' <<< $(curl -s https://api.github.com/repos/${{ github.repository_owner }}/Stockfish/releases))" >> $GITHUB_ENV
# delete old previous pre-release and tag
- uses: dev-drprasad/delete-tag-and-release@v0.2.1
# delete old previous pre-release and tag
- uses: actions/checkout@v4
- run: gh release delete ${{ env.COMMIT_SHA }} --cleanup-tag
if: env.COMMIT_SHA != 'null'
with:
tag_name: ${{ env.COMMIT_SHA }}
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
Matrix:
runs-on: ubuntu-latest
outputs:
matrix: ${{ steps.set-matrix.outputs.matrix }}
arm_matrix: ${{ steps.set-arm-matrix.outputs.arm_matrix }}
steps:
- uses: actions/checkout@v4
- id: set-matrix
run: |
TASKS=$(echo $(cat .github/ci/matrix.json) )
echo "MATRIX=$TASKS" >> $GITHUB_OUTPUT
- id: set-arm-matrix
run: |
TASKS_ARM=$(echo $(cat .github/ci/arm_matrix.json) )
echo "ARM_MATRIX=$TASKS_ARM" >> $GITHUB_OUTPUT
Compilation:
needs: [Matrix]
uses: ./.github/workflows/compilation.yml
with:
matrix: ${{ needs.Matrix.outputs.matrix }}
ARMCompilation:
needs: [Matrix]
uses: ./.github/workflows/arm_compilation.yml
with:
matrix: ${{ needs.Matrix.outputs.arm_matrix }}
IWYU:
uses: ./.github/workflows/iwyu.yml
Sanitizers:
uses: ./.github/workflows/stockfish_sanitizers.yml
uses: ./.github/workflows/sanitizers.yml
Tests:
uses: ./.github/workflows/stockfish_test.yml
Compiles:
uses: ./.github/workflows/stockfish_compile_test.yml
uses: ./.github/workflows/tests.yml
Binaries:
if: github.ref == 'refs/heads/master' || (startsWith(github.ref_name, 'sf_') && github.ref_type == 'tag')
uses: ./.github/workflows/stockfish_binaries.yml
if: github.repository == 'official-stockfish/Stockfish'
needs: [Matrix, Prerelease, Compilation]
uses: ./.github/workflows/upload_binaries.yml
with:
matrix: ${{ needs.Matrix.outputs.matrix }}
ARM_Binaries:
if: github.ref == 'refs/heads/master' || (startsWith(github.ref_name, 'sf_') && github.ref_type == 'tag')
uses: ./.github/workflows/stockfish_arm_binaries.yml
if: github.repository == 'official-stockfish/Stockfish'
needs: [Matrix, Prerelease, ARMCompilation]
uses: ./.github/workflows/upload_binaries.yml
with:
matrix: ${{ needs.Matrix.outputs.arm_matrix }}
@@ -1,158 +0,0 @@
name: Stockfish
on:
workflow_call:
jobs:
Stockfish:
name: ${{ matrix.config.name }} ${{ matrix.binaries }}
runs-on: ${{ matrix.config.os }}
env:
COMPILER: ${{ matrix.config.compiler }}
COMP: ${{ matrix.config.comp }}
EMU: ${{ matrix.config.emu }}
EXT: ${{ matrix.config.ext }}
OS: ${{ matrix.config.os }}
BINARY: ${{ matrix.binaries }}
strategy:
matrix:
config:
- name: Android NDK aarch64
os: ubuntu-22.04
compiler: aarch64-linux-android21-clang++
emu: qemu-aarch64
comp: ndk
shell: bash {0}
- name: Android NDK arm
os: ubuntu-22.04
compiler: armv7a-linux-androideabi21-clang++
emu: qemu-arm
comp: ndk
shell: bash {0}
binaries:
- armv8
- armv7
- armv7-neon
exclude:
- binaries: armv8
config: {compiler: armv7a-linux-androideabi21-clang++}
- binaries: armv7
config: {compiler: aarch64-linux-android21-clang++}
- binaries: armv7-neon
config: {compiler: aarch64-linux-android21-clang++}
defaults:
run:
working-directory: src
shell: ${{ matrix.config.shell }}
steps:
- uses: actions/checkout@v3
with:
fetch-depth: 0
- name: Download required linux packages
if: runner.os == 'Linux'
run: |
sudo apt update
sudo apt install qemu-user
- name: Install NDK
if: runner.os == 'Linux'
run: |
if [ $COMP == ndk ]; then
NDKV="21.4.7075529"
ANDROID_ROOT=/usr/local/lib/android
ANDROID_SDK_ROOT=$ANDROID_ROOT/sdk
SDKMANAGER=$ANDROID_SDK_ROOT/cmdline-tools/latest/bin/sdkmanager
echo "y" | $SDKMANAGER "ndk;$NDKV"
ANDROID_NDK_ROOT=$ANDROID_SDK_ROOT/ndk/$NDKV
ANDROID_NDK_BIN=$ANDROID_NDK_ROOT/toolchains/llvm/prebuilt/linux-x86_64/bin
echo "ANDROID_NDK_BIN=$ANDROID_NDK_BIN" >> $GITHUB_ENV
fi
- name: Download the used network from the fishtest framework
run: make net
- name: Check compiler
run: |
if [ $COMP == ndk ]; then
export PATH=${{ env.ANDROID_NDK_BIN }}:$PATH
fi
$COMPILER -v
- name: Test help target
run: make help
- name: Check git
run: git --version
# Compile profile guided builds
- name: Compile ${{ matrix.binaries }} build
run: |
if [ $COMP == ndk ]; then
export PATH=${{ env.ANDROID_NDK_BIN }}:$PATH
export LDFLAGS="-static -Wno-unused-command-line-argument"
fi
make clean
make -j2 profile-build ARCH=$BINARY COMP=$COMP WINE_PATH=$EMU
make strip ARCH=$BINARY COMP=$COMP
mv ./stockfish$EXT ../stockfish-android-$BINARY$EXT
- name: Remove non src files
run: rm -f *.o .depend *.nnue
- name: Download wiki
run: |
git clone https://github.com/official-stockfish/Stockfish.wiki.git ../wiki
cd ../wiki
rm -rf .git
- name: Create tar archive.
run: |
cd ..
mkdir stockfish
cp -r wiki stockfish/
cp -r src stockfish/
cp stockfish-android-$BINARY$EXT stockfish/
cp "Top CPU Contributors.txt" stockfish/
cp Copying.txt stockfish/
cp AUTHORS stockfish/
cp CITATION.cff stockfish/
cp README.md stockfish/
tar -cvf stockfish-android-$BINARY.tar stockfish
- name: Upload binaries
uses: actions/upload-artifact@v3
with:
name: stockfish-android-${{ matrix.binaries }}
path: stockfish-android-${{ matrix.binaries }}.tar
- name: Release
if: startsWith(github.ref_name, 'sf_') && github.ref_type == 'tag'
uses: softprops/action-gh-release@v1
with:
files: stockfish-android-${{ matrix.binaries }}.tar
- name: Get last commit sha
id: last_commit
run: echo "COMMIT_SHA=$(git rev-parse HEAD | cut -c 1-8)" >> $GITHUB_ENV
- name: Get commit date
id: commit_date
run: echo "COMMIT_DATE=$(git show -s --date=format:'%Y%m%d' --format=%cd HEAD)" >> $GITHUB_ENV
# Make sure that an old ci which still runs on master doesn't recreate a prerelease
- name: Check Pullable Commits
id: check_commits
run: |
git fetch
CHANGES=$(git rev-list HEAD..origin/master --count)
echo "CHANGES=$CHANGES" >> $GITHUB_ENV
- name: Prerelease
if: github.ref_name == 'master' && env.CHANGES == '0'
continue-on-error: true
uses: softprops/action-gh-release@v1
with:
name: Stockfish dev-${{ env.COMMIT_DATE }}-${{ env.COMMIT_SHA }}
tag_name: stockfish-dev-${{ env.COMMIT_DATE }}-${{ env.COMMIT_SHA }}
prerelease: true
files: stockfish-android-${{ matrix.binaries }}.tar
-168
View File
@@ -1,168 +0,0 @@
name: Stockfish
on:
workflow_call:
jobs:
Stockfish:
name: ${{ matrix.config.name }} ${{ matrix.binaries }}
runs-on: ${{ matrix.config.os }}
env:
COMPILER: ${{ matrix.config.compiler }}
COMP: ${{ matrix.config.comp }}
EXT: ${{ matrix.config.ext }}
NAME: ${{ matrix.config.simple_name }}
BINARY: ${{ matrix.binaries }}
strategy:
matrix:
config:
- name: Ubuntu 20.04 GCC
os: ubuntu-20.04
simple_name: ubuntu
compiler: g++
comp: gcc
shell: bash {0}
archive_ext: tar
- name: MacOS 12 Apple Clang
os: macos-12
simple_name: macos
compiler: clang++
comp: clang
shell: bash {0}
archive_ext: tar
- name: Windows 2022 Mingw-w64 GCC x86_64
os: windows-2022
simple_name: windows
compiler: g++
comp: mingw
msys_sys: mingw64
msys_env: x86_64-gcc
shell: msys2 {0}
ext: .exe
archive_ext: zip
binaries:
- x86-64
- x86-64-modern
- x86-64-avx2
exclude:
- binaries: x86-64-avx2
config: {os: macos-12}
defaults:
run:
working-directory: src
shell: ${{ matrix.config.shell }}
steps:
- uses: actions/checkout@v3
with:
fetch-depth: 0
- name: Download required linux packages
if: runner.os == 'Linux'
run: sudo apt update
- name: Setup msys and install required packages
if: runner.os == 'Windows'
uses: msys2/setup-msys2@v2
with:
msystem: ${{ matrix.config.msys_sys }}
install: mingw-w64-${{ matrix.config.msys_env }} make git zip
- name: Download the used network from the fishtest framework
run: make net
- name: Check compiler
run: $COMPILER -v
- name: Test help target
run: make help
- name: Check git
run: git --version
# Compile profile guided builds
- name: Compile ${{ matrix.binaries }} build
run: |
make -j2 profile-build ARCH=$BINARY COMP=$COMP
make strip ARCH=$BINARY COMP=$COMP
mv ./stockfish$EXT ../stockfish-$NAME-$BINARY$EXT
- name: Remove non src files
run: git clean -fx
- name: Download wiki
run: |
git clone https://github.com/official-stockfish/Stockfish.wiki.git ../wiki
rm -rf ../wiki/.git
- name: Create directory.
run: |
cd ..
mkdir stockfish
cp -r wiki stockfish/
cp -r src stockfish/
cp stockfish-$NAME-$BINARY$EXT stockfish/
cp "Top CPU Contributors.txt" stockfish/
cp Copying.txt stockfish/
cp AUTHORS stockfish/
cp CITATION.cff stockfish/
cp README.md stockfish/
- name: Create tar
if: runner.os != 'Windows'
run: |
cd ..
tar -cvf stockfish-$NAME-$BINARY.tar stockfish
- name: Create zip
if: runner.os == 'Windows'
run: |
cd ..
zip -r stockfish-$NAME-$BINARY.zip stockfish
- name: Upload binaries
if: runner.os != 'Windows'
uses: actions/upload-artifact@v3
with:
name: stockfish-${{ matrix.config.os }}-${{ matrix.binaries }}
path: stockfish-${{ matrix.config.simple_name }}-${{ matrix.binaries }}.tar
# Artifacts automatically get zipped
# to avoid double zipping, we use the unzipped directory
- name: Upload binaries
if: runner.os == 'Windows'
uses: actions/upload-artifact@v3
with:
name: stockfish-${{ matrix.config.os }}-${{ matrix.binaries }}
path: stockfish
- name: Release
if: startsWith(github.ref_name, 'sf_') && github.ref_type == 'tag'
uses: softprops/action-gh-release@v1
with:
files: stockfish-${{ matrix.config.simple_name }}-${{ matrix.binaries }}.${{ matrix.config.archive_ext }}
- name: Get last commit sha
id: last_commit
run: echo "COMMIT_SHA=$(git rev-parse HEAD | cut -c 1-8)" >> $GITHUB_ENV
- name: Get commit date
id: commit_date
run: echo "COMMIT_DATE=$(git show -s --date=format:'%Y%m%d' --format=%cd HEAD)" >> $GITHUB_ENV
# Make sure that an old ci which still runs on master doesn't recreate a prerelease
- name: Check Pullable Commits
id: check_commits
run: |
git fetch
CHANGES=$(git rev-list HEAD..origin/master --count)
echo "CHANGES=$CHANGES" >> $GITHUB_ENV
- name: Prerelease
if: github.ref_name == 'master' && env.CHANGES == '0'
continue-on-error: true
uses: softprops/action-gh-release@v1
with:
name: Stockfish dev-${{ env.COMMIT_DATE }}-${{ env.COMMIT_SHA }}
tag_name: stockfish-dev-${{ env.COMMIT_DATE }}-${{ env.COMMIT_SHA }}
prerelease: true
files: stockfish-${{ matrix.config.simple_name }}-${{ matrix.binaries }}.${{ matrix.config.archive_ext }}
@@ -1,102 +0,0 @@
name: Stockfish
on:
workflow_call:
jobs:
Stockfish:
name: ${{ matrix.config.name }}
runs-on: ${{ matrix.config.os }}
env:
COMPILER: ${{ matrix.config.compiler }}
COMP: ${{ matrix.config.comp }}
strategy:
matrix:
config:
- name: Ubuntu 20.04 GCC
os: ubuntu-20.04
compiler: g++
comp: gcc
shell: bash {0}
- name: Ubuntu 20.04 Clang
os: ubuntu-20.04
compiler: clang++
comp: clang
shell: bash {0}
- name: MacOS 12 Apple Clang
os: macos-12
compiler: clang++
comp: clang
shell: bash {0}
- name: MacOS 12 GCC 11
os: macos-12
compiler: g++-11
comp: gcc
shell: bash {0}
- name: Windows 2022 Mingw-w64 GCC x86_64
os: windows-2022
compiler: g++
comp: mingw
msys_sys: mingw64
msys_env: x86_64-gcc
shell: msys2 {0}
- name: Windows 2022 Mingw-w64 Clang x86_64
os: windows-2022
compiler: clang++
comp: clang
msys_sys: clang64
msys_env: clang-x86_64-clang
shell: msys2 {0}
defaults:
run:
working-directory: src
shell: ${{ matrix.config.shell }}
steps:
- uses: actions/checkout@v3
with:
fetch-depth: 0
- name: Setup msys and install required packages
if: runner.os == 'Windows'
uses: msys2/setup-msys2@v2
with:
msystem: ${{matrix.config.msys_sys}}
install: mingw-w64-${{matrix.config.msys_env}} make git
- name: Download the used network from the fishtest framework
run: make net
- name: Check compiler
run: $COMPILER -v
- name: Test help target
run: make help
- name: Check git
run: git --version
# x86-64 with newer extensions tests
- name: Compile x86-64-avx2 build
run: |
make clean
make -j2 ARCH=x86-64-avx2 build
- name: Compile x86-64-bmi2 build
run: |
make clean
make -j2 ARCH=x86-64-bmi2 build
- name: Compile x86-64-avx512 build
run: |
make clean
make -j2 ARCH=x86-64-avx512 build
- name: Compile x86-64-vnni512 build
run: |
make clean
make -j2 ARCH=x86-64-vnni512 build
- name: Compile x86-64-vnni256 build
run: |
make clean
make -j2 ARCH=x86-64-vnni256 build
@@ -1,8 +1,8 @@
name: Stockfish
name: Tests
on:
workflow_call:
jobs:
Stockfish:
Test-Targets:
name: ${{ matrix.config.name }}
runs-on: ${{ matrix.config.os }}
env:
@@ -10,6 +10,7 @@ jobs:
COMP: ${{ matrix.config.comp }}
CXXFLAGS: "-Werror"
strategy:
fail-fast: false
matrix:
config:
- name: Ubuntu 20.04 GCC
@@ -18,38 +19,61 @@ jobs:
comp: gcc
run_32bit_tests: true
run_64bit_tests: true
shell: bash {0}
shell: bash
- name: Ubuntu 20.04 Clang
os: ubuntu-20.04
compiler: clang++
comp: clang
run_32bit_tests: true
run_64bit_tests: true
shell: bash {0}
shell: bash
- name: Android NDK aarch64
os: ubuntu-22.04
compiler: aarch64-linux-android21-clang++
comp: ndk
run_armv8_tests: true
shell: bash {0}
shell: bash
- name: Android NDK arm
os: ubuntu-22.04
compiler: armv7a-linux-androideabi21-clang++
comp: ndk
run_armv7_tests: true
shell: bash {0}
- name: MacOS 12 Apple Clang
os: macos-12
shell: bash
- name: Linux GCC riscv64
os: ubuntu-22.04
compiler: g++
comp: gcc
run_riscv64_tests: true
base_image: "riscv64/alpine:edge"
platform: linux/riscv64
shell: bash
- name: Linux GCC ppc64
os: ubuntu-22.04
compiler: g++
comp: gcc
run_ppc64_tests: true
base_image: "ppc64le/alpine:latest"
platform: linux/ppc64le
shell: bash
- name: MacOS 13 Apple Clang
os: macos-13
compiler: clang++
comp: clang
run_64bit_tests: true
shell: bash {0}
- name: MacOS 12 GCC 11
os: macos-12
shell: bash
- name: MacOS 14 Apple Clang M1
os: macos-14
compiler: clang++
comp: clang
run_64bit_tests: false
run_m1_tests: true
shell: bash
- name: MacOS 13 GCC 11
os: macos-13
compiler: g++-11
comp: gcc
run_64bit_tests: true
shell: bash {0}
shell: bash
- name: Windows 2022 Mingw-w64 GCC x86_64
os: windows-2022
compiler: g++
@@ -79,7 +103,7 @@ jobs:
working-directory: src
shell: ${{ matrix.config.shell }}
steps:
- uses: actions/checkout@v3
- uses: actions/checkout@v4
with:
fetch-depth: 0
@@ -87,7 +111,7 @@ jobs:
if: runner.os == 'Linux'
run: |
sudo apt update
sudo apt install expect valgrind g++-multilib qemu-user
sudo apt install expect valgrind g++-multilib qemu-user-static
- name: Install NDK
if: runner.os == 'Linux'
@@ -103,6 +127,28 @@ jobs:
echo "ANDROID_NDK_BIN=$ANDROID_NDK_BIN" >> $GITHUB_ENV
fi
- name: Set up QEMU
if: matrix.config.base_image
uses: docker/setup-qemu-action@v3
- name: Set up Docker Buildx
if: matrix.config.base_image
uses: docker/setup-buildx-action@v3
- name: Build Docker container
if: matrix.config.base_image
run: |
docker buildx build --load -t sf_builder - << EOF
FROM ${{ matrix.config.base_image }}
WORKDIR /app
RUN apk update && apk add make g++
CMD ["sh", "script.sh"]
EOF
- name: Download required macOS packages
if: runner.os == 'macOS'
run: brew install coreutils
- name: Setup msys and install required packages
if: runner.os == 'Windows'
uses: msys2/setup-msys2@v2
@@ -115,15 +161,22 @@ jobs:
- name: Extract the bench number from the commit history
run: |
git log HEAD | grep -o "\b[Bb]ench[ :]\+[1-9][0-9]\{5,9\}\b" | head -n 1 | sed "s/[^0-9]//g" > git_sig
[ -s git_sig ] && echo "benchref=$(cat git_sig)" >> $GITHUB_ENV && echo "Reference bench:" $(cat git_sig) || echo "No bench found"
for hash in $(git rev-list -100 HEAD); do
benchref=$(git show -s $hash | tac | grep -m 1 -o -x '[[:space:]]*\b[Bb]ench[ :]\+[1-9][0-9]\{5,7\}\b[[:space:]]*' | sed 's/[^0-9]//g') && break || true
done
[[ -n "$benchref" ]] && echo "benchref=$benchref" >> $GITHUB_ENV && echo "From commit: $hash" && echo "Reference bench: $benchref" || echo "No bench found"
- name: Check compiler
run: |
if [ $COMP == ndk ]; then
export PATH=${{ env.ANDROID_NDK_BIN }}:$PATH
if [ -z "${{ matrix.config.base_image }}" ]; then
if [ $COMP == ndk ]; then
export PATH=${{ env.ANDROID_NDK_BIN }}:$PATH
fi
$COMPILER -v
else
echo "$COMPILER -v" > script.sh
docker run --rm --platform ${{ matrix.config.platform }} -v ${{ github.workspace }}/src:/app sf_builder
fi
$COMPILER -v
- name: Test help target
run: make help
@@ -134,123 +187,179 @@ jobs:
# x86-32 tests
- name: Test debug x86-32 build
if: ${{ matrix.config.run_32bit_tests }}
if: matrix.config.run_32bit_tests
run: |
export CXXFLAGS="-Werror -D_GLIBCXX_DEBUG"
make clean
make -j2 ARCH=x86-32 optimize=no debug=yes build
make -j4 ARCH=x86-32 optimize=no debug=yes build
../tests/signature.sh $benchref
- name: Test x86-32 build
if: ${{ matrix.config.run_32bit_tests }}
if: matrix.config.run_32bit_tests
run: |
make clean
make -j2 ARCH=x86-32 build
make -j4 ARCH=x86-32 build
../tests/signature.sh $benchref
- name: Test x86-32-sse41-popcnt build
if: ${{ matrix.config.run_32bit_tests }}
if: matrix.config.run_32bit_tests
run: |
make clean
make -j2 ARCH=x86-32-sse41-popcnt build
make -j4 ARCH=x86-32-sse41-popcnt build
../tests/signature.sh $benchref
- name: Test x86-32-sse2 build
if: ${{ matrix.config.run_32bit_tests }}
if: matrix.config.run_32bit_tests
run: |
make clean
make -j2 ARCH=x86-32-sse2 build
make -j4 ARCH=x86-32-sse2 build
../tests/signature.sh $benchref
- name: Test general-32 build
if: ${{ matrix.config.run_32bit_tests }}
if: matrix.config.run_32bit_tests
run: |
make clean
make -j2 ARCH=general-32 build
make -j4 ARCH=general-32 build
../tests/signature.sh $benchref
# x86-64 tests
- name: Test debug x86-64-modern build
if: ${{ matrix.config.run_64bit_tests }}
- name: Test debug x86-64-avx2 build
if: matrix.config.run_64bit_tests
run: |
export CXXFLAGS="-Werror -D_GLIBCXX_DEBUG"
make clean
make -j2 ARCH=x86-64-modern optimize=no debug=yes build
make -j4 ARCH=x86-64-avx2 optimize=no debug=yes build
../tests/signature.sh $benchref
- name: Test x86-64-modern build
if: ${{ matrix.config.run_64bit_tests }}
- name: Test x86-64-bmi2 build
if: matrix.config.run_64bit_tests
run: |
make clean
make -j2 ARCH=x86-64-modern build
make -j4 ARCH=x86-64-bmi2 build
../tests/signature.sh $benchref
- name: Test x86-64-avx2 build
if: matrix.config.run_64bit_tests
run: |
make clean
make -j4 ARCH=x86-64-avx2 build
../tests/signature.sh $benchref
# Test a deprecated arch
- name: Test x86-64-modern build
if: matrix.config.run_64bit_tests
run: |
make clean
make -j4 ARCH=x86-64-modern build
../tests/signature.sh $benchref
- name: Test x86-64-sse41-popcnt build
if: matrix.config.run_64bit_tests
run: |
make clean
make -j4 ARCH=x86-64-sse41-popcnt build
../tests/signature.sh $benchref
- name: Test x86-64-ssse3 build
if: ${{ matrix.config.run_64bit_tests }}
if: matrix.config.run_64bit_tests
run: |
make clean
make -j2 ARCH=x86-64-ssse3 build
make -j4 ARCH=x86-64-ssse3 build
../tests/signature.sh $benchref
- name: Test x86-64-sse3-popcnt build
if: ${{ matrix.config.run_64bit_tests }}
if: matrix.config.run_64bit_tests
run: |
make clean
make -j2 ARCH=x86-64-sse3-popcnt build
make -j4 ARCH=x86-64-sse3-popcnt build
../tests/signature.sh $benchref
- name: Test x86-64 build
if: ${{ matrix.config.run_64bit_tests }}
if: matrix.config.run_64bit_tests
run: |
make clean
make -j2 ARCH=x86-64 build
make -j4 ARCH=x86-64 build
../tests/signature.sh $benchref
- name: Test general-64 build
if: matrix.config.run_64bit_tests
run: |
make clean
make -j2 ARCH=general-64 build
make -j4 ARCH=general-64 build
../tests/signature.sh $benchref
- name: Test apple-silicon build
if: matrix.config.run_m1_tests
run: |
make clean
make -j4 ARCH=apple-silicon build
../tests/signature.sh $benchref
# armv8 tests
- name: Test armv8 build
if: ${{ matrix.config.run_armv8_tests }}
if: matrix.config.run_armv8_tests
run: |
export PATH=${{ env.ANDROID_NDK_BIN }}:$PATH
export LDFLAGS="-static -Wno-unused-command-line-argument"
make clean
make -j2 ARCH=armv8 build
make -j4 ARCH=armv8 build
../tests/signature.sh $benchref
- name: Test armv8-dotprod build
if: matrix.config.run_armv8_tests
run: |
export PATH=${{ env.ANDROID_NDK_BIN }}:$PATH
export LDFLAGS="-static -Wno-unused-command-line-argument"
make clean
make -j4 ARCH=armv8-dotprod build
../tests/signature.sh $benchref
# armv7 tests
- name: Test armv7 build
if: ${{ matrix.config.run_armv7_tests }}
if: matrix.config.run_armv7_tests
run: |
export PATH=${{ env.ANDROID_NDK_BIN }}:$PATH
export LDFLAGS="-static -Wno-unused-command-line-argument"
make clean
make -j2 ARCH=armv7 build
make -j4 ARCH=armv7 build
../tests/signature.sh $benchref
- name: Test armv7-neon build
if: ${{ matrix.config.run_armv7_tests }}
if: matrix.config.run_armv7_tests
run: |
export PATH=${{ env.ANDROID_NDK_BIN }}:$PATH
export LDFLAGS="-static -Wno-unused-command-line-argument"
make clean
make -j2 ARCH=armv7-neon build
make -j4 ARCH=armv7-neon build
../tests/signature.sh $benchref
# riscv64 tests
- name: Test riscv64 build
if: matrix.config.run_riscv64_tests
run: |
echo "export LDFLAGS='-static' && make clean && make -j4 ARCH=riscv64 build" > script.sh
docker run --rm --platform ${{ matrix.config.platform }} -v ${{ github.workspace }}/src:/app sf_builder
../tests/signature.sh $benchref
# ppc64 tests
- name: Test ppc64 build
if: matrix.config.run_ppc64_tests
run: |
echo "export LDFLAGS='-static' && make clean && make -j4 ARCH=ppc-64 build" > script.sh
docker run --rm --platform ${{ matrix.config.platform }} -v ${{ github.workspace }}/src:/app sf_builder
../tests/signature.sh $benchref
# Other tests
- name: Check perft and search reproducibility
if: ${{ matrix.config.run_64bit_tests }}
if: matrix.config.run_64bit_tests
run: |
make clean
make -j2 ARCH=x86-64-modern build
make -j4 ARCH=x86-64-avx2 build
../tests/perft.sh
../tests/reprosearch.sh
+105
View File
@@ -0,0 +1,105 @@
name: Upload Binaries
on:
workflow_call:
inputs:
matrix:
type: string
required: true
jobs:
Artifacts:
name: ${{ matrix.config.name }} ${{ matrix.binaries }}
runs-on: ${{ matrix.config.os }}
env:
COMPILER: ${{ matrix.config.compiler }}
COMP: ${{ matrix.config.comp }}
EXT: ${{ matrix.config.ext }}
NAME: ${{ matrix.config.simple_name }}
BINARY: ${{ matrix.binaries }}
SDE: ${{ matrix.config.sde }}
strategy:
fail-fast: false
matrix: ${{ fromJson(inputs.matrix) }}
defaults:
run:
shell: ${{ matrix.config.shell }}
steps:
- uses: actions/checkout@v4
- name: Download artifact from compilation
uses: actions/download-artifact@v4
with:
name: ${{ matrix.config.simple_name }} ${{ matrix.binaries }}
path: ${{ matrix.config.simple_name }} ${{ matrix.binaries }}
- name: Setup msys and install required packages
if: runner.os == 'Windows'
uses: msys2/setup-msys2@v2
with:
msystem: ${{ matrix.config.msys_sys }}
install: mingw-w64-${{ matrix.config.msys_env }} make git zip
- name: Create Package
run: |
mkdir stockfish
- name: Download wiki
run: |
git clone https://github.com/official-stockfish/Stockfish.wiki.git wiki
rm -rf wiki/.git
mv wiki stockfish/
- name: Copy files
run: |
mv "${{ matrix.config.simple_name }} ${{ matrix.binaries }}" stockfish-workflow
cd stockfish-workflow
cp -r src ../stockfish/
cp stockfish-$NAME-$BINARY$EXT ../stockfish/
cp "Top CPU Contributors.txt" ../stockfish/
cp Copying.txt ../stockfish/
cp AUTHORS ../stockfish/
cp CITATION.cff ../stockfish/
cp README.md ../stockfish/
cp CONTRIBUTING.md ../stockfish/
- name: Create tar
if: runner.os != 'Windows'
run: |
tar -cvf stockfish-$NAME-$BINARY.tar stockfish
- name: Create zip
if: runner.os == 'Windows'
run: |
zip -r stockfish-$NAME-$BINARY.zip stockfish
- name: Release
if: startsWith(github.ref_name, 'sf_') && github.ref_type == 'tag'
uses: softprops/action-gh-release@4634c16e79c963813287e889244c50009e7f0981
with:
files: stockfish-${{ matrix.config.simple_name }}-${{ matrix.binaries }}.${{ matrix.config.archive_ext }}
- name: Get last commit sha
id: last_commit
run: echo "COMMIT_SHA=$(git rev-parse HEAD | cut -c 1-8)" >> $GITHUB_ENV
- name: Get commit date
id: commit_date
run: echo "COMMIT_DATE=$(git show -s --date=format:'%Y%m%d' --format=%cd HEAD)" >> $GITHUB_ENV
# Make sure that an old ci that still runs on master doesn't recreate a prerelease
- name: Check Pullable Commits
id: check_commits
run: |
git fetch
CHANGES=$(git rev-list HEAD..origin/master --count)
echo "CHANGES=$CHANGES" >> $GITHUB_ENV
- name: Prerelease
if: github.ref_name == 'master' && env.CHANGES == '0'
continue-on-error: true
uses: softprops/action-gh-release@de2c0eb89ae2a093876385947365aca7b0e5f844 # @v1
with:
name: Stockfish dev-${{ env.COMMIT_DATE }}-${{ env.COMMIT_SHA }}
tag_name: stockfish-dev-${{ env.COMMIT_DATE }}-${{ env.COMMIT_SHA }}
prerelease: true
files: stockfish-${{ matrix.config.simple_name }}-${{ matrix.binaries }}.${{ matrix.config.archive_ext }}
+17 -2
View File
@@ -12,6 +12,7 @@ Hisayori Noda (nodchip)
# All other authors of Stockfish code (in alphabetical order)
Aditya (absimaldata)
Adrian Petrescu (apetresc)
Ahmed Kerimov (wcdbmv)
Ajith Chandy Jose (ajithcj)
Alain Savard (Rocky640)
Alayan Feh (Alayan-stk-2)
@@ -29,6 +30,7 @@ Aram Tumanian (atumanian)
Arjun Temurnikar
Artem Solopiy (EntityFX)
Auguste Pop
Balazs Szilagyi
Balint Pfliegel
Ben Chaney (Chaneybenjamini)
Ben Koshy (BKSpurgeon)
@@ -45,9 +47,12 @@ candirufish
Chess13234
Chris Cain (ceebo)
clefrks
Clemens L. (rn5f107s2)
Cody Ho (aesrentai)
Dale Weiler (graphitemaster)
Daniel Axtens (daxtens)
Daniel Dugovic (ddugovic)
Daniel Monroe (Ergodice)
Dan Schmidt (dfannius)
Dariusz Orzechowski (dorzechowski)
David (dav1312)
@@ -69,9 +74,11 @@ Fabian Beuke (madnight)
Fabian Fichter (ianfab)
Fanael Linithien (Fanael)
fanon
Fauzi Akram Dabat (FauziAkram)
Fauzi Akram Dabat (fauzi2)
Felix Wittmann
gamander
Gabriele Lombardo (gabe)
Gahtan Nahdi
Gary Heckman (gheckman)
George Sobala (gsobala)
gguliash
@@ -94,6 +101,7 @@ Jake Senne (w1wwwwww)
Jan Ondruš (hxim)
Jared Kish (Kurtbusch, kurt22i)
Jarrod Torriero (DU-jdto)
Jasper Shovelton (Beanie496)
Jean-Francois Romang (jromang)
Jean Gauthier (OuaisBla)
Jekaa
@@ -178,6 +186,7 @@ Raminder Singh
renouve
Reuven Peleg (R-Peleg)
Richard Lloyd (Richard-Lloyd)
Robert Nürnberg (robertnurnberg)
Rodrigo Exterckötter Tjäder
Rodrigo Roim (roim)
Ronald de Man (syzygy1, syzygy)
@@ -201,10 +210,15 @@ Stefano Cardanobile (Stefano80)
Stefano Di Martino (StefanoD)
Steinar Gunderson (sesse)
Stéphane Nicolet (snicolet)
Stephen Touset (stouset)
Syine Mineta (MinetaS)
Taras Vuk (TarasVuk)
Thanar2
thaspel
theo77186
TierynnB
Ting-Hsuan Huang (fffelix-huang)
Tobias Steinmann
Tomasz Sobczyk (Sopel97)
Tom Truscott
Tom Vijlbrief (tomtor)
@@ -218,9 +232,10 @@ Vince Negri (cuddlestmonkey)
Viren
windfishballad
xefoci7612
Xiang Wang (KatyushaScarlet)
zz4032
# Additionally, we acknowledge the authors and maintainers of fishtest,
# an amazing and essential framework for Stockfish development!
#
# https://github.com/glinscott/fishtest/blob/master/AUTHORS
# https://github.com/official-stockfish/fishtest/blob/master/AUTHORS
+97
View File
@@ -0,0 +1,97 @@
# Contributing to Stockfish
Welcome to the Stockfish project! We are excited that you are interested in
contributing. This document outlines the guidelines and steps to follow when
making contributions to Stockfish.
## Table of Contents
- [Building Stockfish](#building-stockfish)
- [Making Contributions](#making-contributions)
- [Reporting Issues](#reporting-issues)
- [Submitting Pull Requests](#submitting-pull-requests)
- [Code Style](#code-style)
- [Community and Communication](#community-and-communication)
- [License](#license)
## Building Stockfish
In case you do not have a C++ compiler installed, you can follow the
instructions from our wiki.
- [Ubuntu][ubuntu-compiling-link]
- [Windows][windows-compiling-link]
- [macOS][macos-compiling-link]
## Making Contributions
### Reporting Issues
If you find a bug, please open an issue on the
[issue tracker][issue-tracker-link]. Be sure to include relevant information
like your operating system, build environment, and a detailed description of the
problem.
_Please note that Stockfish's development is not focused on adding new features.
Thus any issue regarding missing features will potentially be closed without
further discussion._
### Submitting Pull Requests
- Functional changes need to be tested on fishtest. See
[Creating my First Test][creating-my-first-test] for more details.
The accompanying pull request should include a link to the test results and
the new bench.
- Non-functional changes (e.g. refactoring, code style, documentation) do not
need to be tested on fishtest, unless they might impact performance.
- Provide a clear and concise description of the changes in the pull request
description.
_First time contributors should add their name to [AUTHORS](../AUTHORS)._
_Stockfish's development is not focused on adding new features. Thus any pull
request introducing new features will potentially be closed without further
discussion._
## Code Style
Changes to Stockfish C++ code should respect our coding style defined by
[.clang-format](.clang-format). You can format your changes by running
`make format`. This requires clang-format version 17 to be installed on your system.
## Navigate
For experienced Git users who frequently use git blame, it is recommended to
configure the blame.ignoreRevsFile setting.
This setting is useful for excluding noisy formatting commits.
```bash
git config blame.ignoreRevsFile .git-blame-ignore-revs
```
## Community and Communication
- Join the [Stockfish discord][discord-link] to discuss ideas, issues, and
development.
- Participate in the [Stockfish GitHub discussions][discussions-link] for
broader conversations.
## License
By contributing to Stockfish, you agree that your contributions will be licensed
under the GNU General Public License v3.0. See [Copying.txt][copying-link] for
more details.
Thank you for contributing to Stockfish and helping us make it even better!
[copying-link]: https://github.com/official-stockfish/Stockfish/blob/master/Copying.txt
[discord-link]: https://discord.gg/GWDRS3kU6R
[discussions-link]: https://github.com/official-stockfish/Stockfish/discussions/new
[creating-my-first-test]: https://github.com/official-stockfish/fishtest/wiki/Creating-my-first-test#create-your-test
[issue-tracker-link]: https://github.com/official-stockfish/Stockfish/issues
[ubuntu-compiling-link]: https://github.com/official-stockfish/Stockfish/wiki/Developers#user-content-installing-a-compiler-1
[windows-compiling-link]: https://github.com/official-stockfish/Stockfish/wiki/Developers#user-content-installing-a-compiler
[macos-compiling-link]: https://github.com/official-stockfish/Stockfish/wiki/Developers#user-content-installing-a-compiler-2
+674 -674
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File diff suppressed because it is too large Load Diff
+25 -35
View File
@@ -59,39 +59,10 @@ This distribution of Stockfish consists of the following files:
* a file with the .nnue extension, storing the neural network for the NNUE
evaluation. Binary distributions will have this file embedded.
## The UCI protocol
The [Universal Chess Interface][uci-link] (UCI) is a standard text-based protocol
used to communicate with a chess engine and is the recommended way to do so for
typical graphical user interfaces (GUI) or chess tools. Stockfish implements the
majority of its options.
Developers can see the default values for the UCI options available in Stockfish
by typing `./stockfish uci` in a terminal, but most users should typically use a
chess GUI to interact with Stockfish.
For more information on UCI or debug commands, see our [documentation][wiki-commands-link].
## 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.
```
cd src
make -j build ARCH=x86-64-modern
```
Detailed compilation instructions for all platforms can be found in our
[documentation][wiki-compile-link].
## Contributing
__See [Contributing Guide](CONTRIBUTING.md).__
### Donating hardware
Improving Stockfish requires a massive amount of testing. You can donate your
@@ -114,6 +85,25 @@ Discussions about Stockfish take place these days mainly in the Stockfish
[Discord server][discord-link]. 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][wiki-compile-link]. Our wiki also has information about
the [UCI commands][wiki-uci-link] supported by Stockfish.
## Terms of use
Stockfish is free and distributed under the
@@ -138,7 +128,7 @@ also be made available under GPL v3.
[issue-link]: https://github.com/official-stockfish/Stockfish/issues/new?assignees=&labels=&template=BUG-REPORT.yml
[discussions-link]: https://github.com/official-stockfish/Stockfish/discussions/new
[fishtest-link]: https://tests.stockfishchess.org/tests
[guideline-link]: https://github.com/glinscott/fishtest/wiki/Creating-my-first-test
[guideline-link]: https://github.com/official-stockfish/fishtest/wiki/Creating-my-first-test
[license-link]: https://github.com/official-stockfish/Stockfish/blob/master/Copying.txt
[programming-link]: https://www.chessprogramming.org/Main_Page
[programmingsf-link]: https://www.chessprogramming.org/Stockfish
@@ -150,10 +140,10 @@ also be made available under GPL v3.
[website-link]: https://stockfishchess.org
[website-blog-link]: https://stockfishchess.org/blog/
[wiki-link]: https://github.com/official-stockfish/Stockfish/wiki
[wiki-usage-link]: https://github.com/official-stockfish/Stockfish/wiki/Download-and-usage
[wiki-compile-link]: https://github.com/official-stockfish/Stockfish/wiki/Compiling-from-source
[wiki-commands-link]: https://github.com/official-stockfish/Stockfish/wiki/Commands
[worker-link]: https://github.com/glinscott/fishtest/wiki/Running-the-worker
[wiki-uci-link]: https://github.com/official-stockfish/Stockfish/wiki/UCI-&-Commands
[wiki-usage-link]: https://github.com/official-stockfish/Stockfish/wiki/Download-and-usage
[worker-link]: https://github.com/official-stockfish/fishtest/wiki/Running-the-worker
[build-badge]: https://img.shields.io/github/actions/workflow/status/official-stockfish/Stockfish/stockfish.yml?branch=master&style=for-the-badge&label=stockfish&logo=github
[commits-badge]: https://img.shields.io/github/commits-since/official-stockfish/Stockfish/latest?style=for-the-badge
+104 -85
View File
@@ -1,139 +1,146 @@
Contributors to Fishtest with >10,000 CPU hours, as of 2023-06-20.
Contributors to Fishtest with >10,000 CPU hours, as of 2024-02-24.
Thank you!
Username CPU Hours Games played
------------------------------------------------------------------
noobpwnftw 37457426 2850540907
technologov 14135647 742892808
linrock 4423514 303254809
noobpwnftw 39302472 3055513453
technologov 20845762 994893444
linrock 8616428 560281417
mlang 3026000 200065824
okrout 2332151 222639518
pemo 1800019 60274069
dew 1689162 100033738
okrout 1578136 148855886
pemo 1508508 48814305
grandphish2 1461406 91540343
TueRens 1194790 70400852
JojoM 947612 61773190
TueRens 1474943 75121774
grandphish2 1463002 91616949
JojoM 1109702 72927902
olafm 978631 71037944
sebastronomy 939955 44920556
tvijlbrief 796125 51897690
sebastronomy 742434 38218524
gvreuls 711320 49142318
mibere 703840 46867607
gvreuls 651026 42988582
oz 543438 39314736
cw 517858 34869755
oz 646268 46293638
rpngn 572571 38928563
leszek 531858 39316505
cw 518116 34894291
fastgm 503862 30260818
leszek 467278 33514883
CSU_Dynasty 464940 31177118
ctoks 434416 28506889
crunchy 427035 27344275
maximmasiutin 424795 26577722
bcross 415722 29060963
olafm 395922 32268020
rpngn 348378 24560289
velislav 342567 22138992
CSU_Dynasty 468784 31385034
ctoks 434591 28520597
maximmasiutin 429983 27066286
crunchy 427414 27371625
bcross 415724 29061187
velislav 342588 22140902
mgrabiak 338763 23999170
Fisherman 327231 21829379
mgrabiak 300612 20608380
robal 299836 20213182
Dantist 296386 18031762
nordlandia 246201 16189678
robal 241300 15656382
ncfish1 267604 17881149
nordlandia 249322 16420192
marrco 234581 17714473
ncfish1 227517 15233777
tolkki963 233490 19773930
glinscott 208125 13277240
drabel 204167 13930674
mhoram 202894 12601997
bking_US 198894 11876016
Calis007 188631 12795784
Thanar 179852 12365359
Fifis 176209 10638245
vdv 175544 9904472
spams 157128 10319326
DesolatedDodo 156659 10210328
armo9494 155355 10566898
sqrt2 147963 9724586
DesolatedDodo 146350 9536172
Calis007 143165 9478764
vdbergh 138650 9064413
jcAEie 140086 10603658
vdbergh 139746 9172061
CoffeeOne 137100 5024116
armo9494 136191 9460264
malala 136182 8002293
xoto 133759 9159372
davar 129023 8376525
DMBK 122960 8980062
dsmith 122059 7570238
javran 121564 10144656
amicic 119661 7938029
sschnee 118107 7389266
Wolfgang 114616 8070494
Data 113305 8220352
BrunoBanani 112960 7436849
Wencey 111502 5991676
cuistot 108503 7006992
CypressChess 108331 7759788
skiminki 107583 7218170
jcAEie 105675 8238962
MaZePallas 102823 6633619
sterni1971 100532 5880772
sunu 100167 7040199
zeryl 99331 6221261
thirdlife 99124 2242380
thirdlife 99156 2245320
ElbertoOne 99028 7023771
cuistot 98853 6069816
Dubslow 98600 6903242
markkulix 97010 7643900
bigpen0r 94809 6529203
brabos 92118 6186135
Wolfgang 91939 6105872
Maxim 90818 3283364
psk 89957 5984901
sschnee 88235 5268000
megaman7de 88822 6052132
racerschmacer 85805 6122790
Fifis 85722 5709729
Dubslow 84986 6042456
maposora 85710 7778146
Vizvezdenec 83761 5344740
0x3C33 82614 5271253
BRAVONE 81239 5054681
nssy 76497 5259388
jromang 76106 5236025
teddybaer 75125 5407666
tolkki963 74762 5149662
megaman7de 74351 4940352
Wencey 74181 4711488
Pking_cda 73776 5293873
yurikvelo 73150 5004382
markkulix 72607 5304642
yurikvelo 73516 5036928
MarcusTullius 71053 4803477
Bobo1239 70579 4794999
solarlight 70517 5028306
dv8silencer 70287 3883992
Spprtr 69646 4806763
Mineta 66325 4537742
manap 66273 4121774
szupaw 65468 5669742
tinker 64333 4268790
qurashee 61208 3429862
Mineta 59357 4418202
Spprtr 58723 3911011
AGI 58147 4325994
woutboat 59496 4906352
AGI 58195 4329580
robnjr 57262 4053117
Freja 56938 3733019
MaxKlaxxMiner 56879 3423958
MarcusTullius 56746 3762951
ttruscott 56010 3680085
rkl 55132 4164467
jmdana 54697 4012593
renouve 53811 3501516
javran 53785 4627608
notchris 52433 4044590
finfish 51360 3370515
eva42 51272 3599691
eastorwest 51117 3454811
Goatminola 51004 4432492
rap 49985 3219146
pb00067 49733 3298934
GPUex 48686 3684998
OuaisBla 48626 3445134
ronaldjerum 47654 3240695
biffhero 46564 3111352
oryx 45533 3539290
VoyagerOne 45476 3452465
jmdana 44893 3065205
maposora 44597 4039578
oryx 44570 3454238
speedycpu 43842 3003273
jbwiebe 43305 2805433
GPUex 42378 3133332
Antihistamine 41788 2761312
mhunt 41735 2691355
homyur 39893 2850481
gri 39871 2515779
Garf 37741 2999686
SC 37299 2731694
Sylvain27 36520 1467082
csnodgrass 36207 2688994
Gaster319 35655 3149442
strelock 34716 2074055
szupaw 34102 2880346
EthanOConnor 33370 2090311
slakovv 32915 2021889
gopeto 31884 2076712
Gelma 31771 1551204
gopeto 31671 2060990
kdave 31157 2198362
manapbk 30987 1810399
ZacHFX 30551 2238078
Prcuvu 30377 2170122
anst 30301 2190091
jkiiski 30136 1904470
@@ -142,27 +149,31 @@ hyperbolic.tom 29840 2017394
chuckstablers 29659 2093438
Pyafue 29650 1902349
belzedar94 28846 1811530
votoanthuan 27978 2285818
shawnxu 27438 2465810
chriswk 26902 1868317
xwziegtm 26897 2124586
achambord 26582 1767323
Patrick_G 26276 1801617
yorkman 26193 1992080
Ulysses 25288 1689730
Ulysses 25397 1701264
Jopo12321 25227 1652482
SFTUser 25182 1675689
nabildanial 24942 1519409
nabildanial 25068 1531665
Sharaf_DG 24765 1786697
Maxim 24705 1502062
rodneyc 24376 1416402
jsys14 24297 1721230
agg177 23890 1395014
Goatminola 23763 1956036
Ente 23639 1671638
Jopo12321 23467 1483172
srowen 23842 1342508
Ente 23752 1678188
jojo2357 23479 2061238
JanErik 23408 1703875
Isidor 23388 1680691
Norabor 23371 1603244
cisco2015 22920 1763301
jsys14 22824 1591906
Zirie 22542 1472937
Nullvalue 22490 1970374
AndreasKrug 22485 1769491
team-oh 22272 1636708
Roady 22220 1465606
MazeOfGalious 21978 1629593
@@ -173,79 +184,83 @@ dex 21612 1467203
nesoneg 21494 1463031
user213718 21454 1404128
sphinx 21211 1384728
AndreasKrug 21097 1634811
qoo_charly_cai 21135 1514907
jjoshua2 21001 1423089
Zake9298 20938 1565848
horst.prack 20878 1465656
0xB00B1ES 20590 1208666
Serpensin 20487 1729674
Dinde 20440 1292390
j3corre 20405 941444
Adrian.Schmidt123 20316 1281436
wei 19973 1745989
notchris 19958 1800128
Serpensin 19840 1697528
Gaster319 19712 1677310
fishtester 19617 1257388
rstoesser 19569 1293588
eudhan 19274 1283717
votoanthuan 19108 1609992
vulcan 18871 1729392
Karpovbot 18766 1053178
qoo_charly_cai 18543 1284937
WoodMan777 18556 1628264
jundery 18445 1115855
ville 17883 1384026
chris 17698 1487385
purplefishies 17595 1092533
dju 17414 981289
ols 17291 1042003
iisiraider 17275 1049015
Skiff84 17111 950248
DragonLord 17014 1162790
redstone59 16842 1461780
Alb11747 16787 1213926
Karby 16839 1010124
Alb11747 16787 1213990
pirt 16493 1237199
Naven94 16414 951718
wizardassassin 16392 1148672
IgorLeMasson 16064 1147232
Karby 15982 979610
scuzzi 15757 968735
ako027ako 15671 1173203
Nikolay.IT 15154 1068349
Andrew Grant 15114 895539
Naven94 15054 834762
OssumOpossum 14857 1007129
ZacHFX 14783 1021842
LunaticBFF57 14525 1190310
enedene 14476 905279
IslandLambda 14393 958196
bpfliegel 14233 882523
YELNAMRON 14230 1128094
mpx86 14019 759568
jpulman 13982 870599
Skiff84 13826 721996
getraideBFF 13871 1172846
Nesa92 13806 1116101
crocogoat 13803 1117422
Nesa92 13786 1114691
joster 13710 946160
mbeier 13650 1044928
Hjax 13535 915487
Nullvalue 13468 1140498
Dark_wizzie 13422 1007152
Rudolphous 13244 883140
pirt 13100 1009897
Machariel 13010 863104
infinigon 12991 943216
mabichito 12903 749391
thijsk 12886 722107
AdrianSA 12860 804972
Flopzee 12698 894821
mschmidt 12644 863193
korposzczur 12606 838168
tsim67 12570 890180
Jackfish 12553 836958
fatmurphy 12547 853210
Oakwen 12503 853105
SapphireBrand 12416 969604
Oakwen 12399 844109
deflectooor 12386 579392
modolief 12386 896470
TataneSan 12358 609332
Farseer 12249 694108
Jackfish 12213 805008
pgontarz 12151 848794
dbernier 12103 860824
getraideBFF 12072 1024966
FormazChar 11989 907809
stocky 11954 699440
mschmidt 11941 803401
MooTheCow 11870 773598
FormazChar 11766 885707
somethingintheshadows 11940 989472
MooTheCow 11892 776126
3cho 11842 1036786
whelanh 11557 245188
3cho 11494 1031076
infinity 11470 727027
aga 11412 695127
torbjo 11395 729145
@@ -253,15 +268,19 @@ Thomas A. Anderson 11372 732094
savage84 11358 670860
d64 11263 789184
ali-al-zhrani 11245 779246
ckaz 11170 680866
snicolet 11106 869170
dapper 11032 771402
ols 10947 624903
Karmatron 10828 677458
Ethnikoi 10993 945906
Snuuka 10938 435504
Karmatron 10859 678058
basepi 10637 744851
jibarbosa 10628 857100
Cubox 10621 826448
mecevdimitar 10609 787318
michaelrpg 10509 739239
Def9Infinity 10427 686978
OIVAS7572 10420 995586
jojo2357 10419 929708
WoodMan777 10380 873720
wxt9861 10412 1013864
Garruk 10365 706465
dzjp 10343 732529
+120
View File
@@ -0,0 +1,120 @@
#!/bin/sh
#
# Returns properties of the native system.
# best architecture as supported by the CPU
# filename of the best binary uploaded as an artifact during CI
#
# Check if all the given flags are present in the CPU flags list
check_flags() {
for flag; do
printf '%s\n' "$flags" | grep -q -w "$flag" || return 1
done
}
# Set the CPU flags list
# remove underscores and points from flags, e.g. gcc uses avx512vnni, while some cpuinfo can have avx512_vnni, some systems use sse4_1 others sse4.1
get_flags() {
flags=$(awk '/^flags[ \t]*:|^Features[ \t]*:/{gsub(/^flags[ \t]*:[ \t]*|^Features[ \t]*:[ \t]*|[_.]/, ""); line=$0} END{print line}' /proc/cpuinfo)
}
# Check for gcc march "znver1" or "znver2" https://en.wikichip.org/wiki/amd/cpuid
check_znver_1_2() {
vendor_id=$(awk '/^vendor_id/{print $3; exit}' /proc/cpuinfo)
cpu_family=$(awk '/^cpu family/{print $4; exit}' /proc/cpuinfo)
[ "$vendor_id" = "AuthenticAMD" ] && [ "$cpu_family" = "23" ] && znver_1_2=true
}
# Set the file CPU x86_64 architecture
set_arch_x86_64() {
if check_flags 'avx512vnni' 'avx512dq' 'avx512f' 'avx512bw' 'avx512vl'; then
true_arch='x86-64-vnni256'
elif check_flags 'avx512f' 'avx512bw'; then
true_arch='x86-64-avx512'
elif [ -z "${znver_1_2+1}" ] && check_flags 'bmi2'; then
true_arch='x86-64-bmi2'
elif check_flags 'avx2'; then
true_arch='x86-64-avx2'
elif check_flags 'sse41' && check_flags 'popcnt'; then
true_arch='x86-64-sse41-popcnt'
else
true_arch='x86-64'
fi
}
# Check the system type
uname_s=$(uname -s)
uname_m=$(uname -m)
case $uname_s in
'Darwin') # Mac OSX system
case $uname_m in
'arm64')
true_arch='apple-silicon'
file_arch='x86-64-sse41-popcnt' # Supported by Rosetta 2
;;
'x86_64')
flags=$(sysctl -n machdep.cpu.features machdep.cpu.leaf7_features | tr '\n' ' ' | tr '[:upper:]' '[:lower:]' | tr -d '_.')
set_arch_x86_64
if [ "$true_arch" = 'x86-64-vnni256' ] || [ "$true_arch" = 'x86-64-avx512' ]; then
file_arch='x86-64-bmi2'
fi
;;
esac
file_os='macos'
file_ext='tar'
;;
'Linux') # Linux system
get_flags
case $uname_m in
'x86_64')
file_os='ubuntu'
check_znver_1_2
set_arch_x86_64
;;
'i686')
file_os='ubuntu'
true_arch='x86-32'
;;
'aarch64')
file_os='android'
true_arch='armv8'
if check_flags 'asimddp'; then
true_arch="$true_arch-dotprod"
fi
;;
'armv7'*)
file_os='android'
true_arch='armv7'
if check_flags 'neon'; then
true_arch="$true_arch-neon"
fi
;;
*) # Unsupported machine type, exit with error
printf 'Unsupported machine type: %s\n' "$uname_m"
exit 1
;;
esac
file_ext='tar'
;;
'CYGWIN'*|'MINGW'*|'MSYS'*) # Windows system with POSIX compatibility layer
get_flags
check_znver_1_2
set_arch_x86_64
file_os='windows'
file_ext='zip'
;;
*)
# Unknown system type, exit with error
printf 'Unsupported system type: %s\n' "$uname_s"
exit 1
;;
esac
if [ -z "$file_arch" ]; then
file_arch=$true_arch
fi
file_name="stockfish-$file_os-$file_arch.$file_ext"
printf '%s %s\n' "$true_arch" "$file_name"
+143 -83
View File
@@ -1,5 +1,5 @@
# Stockfish, a UCI chess playing engine derived from Glaurung 2.1
# Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
# Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
#
# Stockfish is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
@@ -20,9 +20,9 @@
### ==========================================================================
### Establish the operating system name
KERNEL = $(shell uname -s)
KERNEL := $(shell uname -s)
ifeq ($(KERNEL),Linux)
OS = $(shell uname -o)
OS := $(shell uname -o)
endif
### Target Windows OS
@@ -33,7 +33,7 @@ ifeq ($(OS),Windows_NT)
else ifeq ($(COMP),mingw)
target_windows = yes
ifeq ($(WINE_PATH),)
WINE_PATH = $(shell which wine)
WINE_PATH := $(shell which wine)
endif
endif
@@ -49,18 +49,22 @@ PREFIX = /usr/local
BINDIR = $(PREFIX)/bin
### Built-in benchmark for pgo-builds
ifeq ($(SDE_PATH),)
PGOBENCH = $(WINE_PATH) ./$(EXE) bench
else
PGOBENCH = $(SDE_PATH) -- $(WINE_PATH) ./$(EXE) bench
endif
PGOBENCH = $(WINE_PATH) ./$(EXE) bench
### Source and object files
SRCS = benchmark.cpp bitbase.cpp bitboard.cpp endgame.cpp evaluate.cpp main.cpp \
material.cpp misc.cpp movegen.cpp movepick.cpp pawns.cpp position.cpp psqt.cpp \
SRCS = benchmark.cpp bitboard.cpp evaluate.cpp main.cpp \
misc.cpp movegen.cpp movepick.cpp position.cpp \
search.cpp thread.cpp timeman.cpp tt.cpp uci.cpp ucioption.cpp tune.cpp syzygy/tbprobe.cpp \
nnue/evaluate_nnue.cpp nnue/features/half_ka_v2_hm.cpp
HEADERS = benchmark.h bitboard.h evaluate.h misc.h movegen.h movepick.h \
nnue/evaluate_nnue.h nnue/features/half_ka_v2_hm.h nnue/layers/affine_transform.h \
nnue/layers/affine_transform_sparse_input.h nnue/layers/clipped_relu.h nnue/layers/simd.h \
nnue/layers/sqr_clipped_relu.h nnue/nnue_accumulator.h nnue/nnue_architecture.h \
nnue/nnue_common.h nnue/nnue_feature_transformer.h position.h \
search.h syzygy/tbprobe.h thread.h thread_win32_osx.h timeman.h \
tt.h tune.h types.h uci.h ucioption.h perft.h
OBJS = $(notdir $(SRCS:.cpp=.o))
VPATH = syzygy:nnue:nnue/features
@@ -108,16 +112,20 @@ VPATH = syzygy:nnue:nnue/features
### 2.1. General and architecture defaults
ifeq ($(ARCH),)
ARCH = x86-64-modern
help_skip_sanity = yes
ARCH = native
endif
ifeq ($(ARCH), native)
override ARCH := $(shell $(SHELL) ../scripts/get_native_properties.sh | cut -d " " -f 1)
endif
# explicitly check for the list of supported architectures (as listed with make help),
# the user can override with `make ARCH=x86-32-vnni256 SUPPORTED_ARCH=true`
ifeq ($(ARCH), $(filter $(ARCH), \
x86-64-vnni512 x86-64-vnni256 x86-64-avx512 x86-64-avxvnni x86-64-bmi2 \
x86-64-avx2 x86-64-sse41-popcnt x86-64-modern x86-64-ssse3 x86-64-sse3-popcnt \
x86-64 x86-32-sse41-popcnt x86-32-sse2 x86-32 ppc-64 ppc-32 e2k \
armv7 armv7-neon armv8 armv8-dotprod apple-silicon general-64 general-32 riscv64))
armv7 armv7-neon armv8 armv8-dotprod apple-silicon general-64 general-32 riscv64 loongarch64))
SUPPORTED_ARCH=true
else
SUPPORTED_ARCH=false
@@ -145,6 +153,12 @@ dotprod = no
arm_version = 0
STRIP = strip
ifneq ($(shell which clang-format-17 2> /dev/null),)
CLANG-FORMAT = clang-format-17
else
CLANG-FORMAT = clang-format
endif
### 2.2 Architecture specific
ifeq ($(findstring x86,$(ARCH)),x86)
@@ -193,6 +207,8 @@ ifeq ($(findstring -sse41,$(ARCH)),-sse41)
endif
ifeq ($(findstring -modern,$(ARCH)),-modern)
$(warning *** ARCH=$(ARCH) is deprecated, defaulting to ARCH=x86-64-sse41-popcnt. Execute `make help` for a list of available architectures. ***)
$(shell sleep 5)
popcnt = yes
sse = yes
sse2 = yes
@@ -353,6 +369,10 @@ endif
ifeq ($(ARCH),riscv64)
arch = riscv64
endif
ifeq ($(ARCH),loongarch64)
arch = loongarch64
endif
endif
@@ -388,6 +408,8 @@ ifeq ($(COMP),gcc)
ifeq ($(ARCH),riscv64)
CXXFLAGS += -latomic
endif
else ifeq ($(ARCH),loongarch64)
CXXFLAGS += -latomic
else
CXXFLAGS += -m$(bits)
LDFLAGS += -m$(bits)
@@ -458,6 +480,8 @@ ifeq ($(COMP),clang)
ifeq ($(ARCH),riscv64)
CXXFLAGS += -latomic
endif
else ifeq ($(ARCH),loongarch64)
CXXFLAGS += -latomic
else
CXXFLAGS += -m$(bits)
LDFLAGS += -m$(bits)
@@ -497,6 +521,14 @@ ifeq ($(COMP),ndk)
STRIP=llvm-strip
endif
endif
ifeq ($(arch),x86_64)
CXX=x86_64-linux-android21-clang++
ifneq ($(shell which x86_64-linux-android-strip 2>/dev/null),)
STRIP=x86_64-linux-android-strip
else
STRIP=llvm-strip
endif
endif
LDFLAGS += -static-libstdc++ -pie -lm -latomic
endif
@@ -526,8 +558,8 @@ endif
### Sometimes gcc is really clang
ifeq ($(COMP),gcc)
gccversion = $(shell $(CXX) --version 2>/dev/null)
gccisclang = $(findstring clang,$(gccversion))
gccversion := $(shell $(CXX) --version 2>/dev/null)
gccisclang := $(findstring clang,$(gccversion))
ifneq ($(gccisclang),)
profile_make = clang-profile-make
profile_use = clang-profile-use
@@ -564,7 +596,7 @@ endif
### 3.3 Optimization
ifeq ($(optimize),yes)
CXXFLAGS += -O3
CXXFLAGS += -O3 -funroll-loops
ifeq ($(comp),gcc)
ifeq ($(OS), Android)
@@ -585,7 +617,7 @@ ifeq ($(optimize),yes)
endif
ifeq ($(comp),clang)
clangmajorversion = $(shell $(CXX) -dumpversion 2>/dev/null | cut -f1 -d.)
clangmajorversion := $(shell $(CXX) -dumpversion 2>/dev/null | cut -f1 -d.)
ifeq ($(shell expr $(clangmajorversion) \< 16),1)
CXXFLAGS += -fexperimental-new-pass-manager
endif
@@ -672,7 +704,6 @@ ifeq ($(sse2),yes)
endif
ifeq ($(mmx),yes)
CXXFLAGS += -DUSE_MMX
ifeq ($(comp),$(filter $(comp),gcc clang mingw icx))
CXXFLAGS += -mmmx
endif
@@ -701,19 +732,24 @@ ifeq ($(pext),yes)
endif
endif
### 3.7.1 Try to include git commit sha for versioning
GIT_SHA = $(shell git rev-parse HEAD 2>/dev/null | cut -c 1-8)
### 3.8.1 Try to include git commit sha for versioning
GIT_SHA := $(shell git rev-parse HEAD 2>/dev/null | cut -c 1-8)
ifneq ($(GIT_SHA), )
CXXFLAGS += -DGIT_SHA=$(GIT_SHA)
endif
### 3.7.2 Try to include git commit date for versioning
GIT_DATE = $(shell git show -s --date=format:'%Y%m%d' --format=%cd HEAD 2>/dev/null)
### 3.8.2 Try to include git commit date for versioning
GIT_DATE := $(shell git show -s --date=format:'%Y%m%d' --format=%cd HEAD 2>/dev/null)
ifneq ($(GIT_DATE), )
CXXFLAGS += -DGIT_DATE=$(GIT_DATE)
endif
### 3.8 Link Time Optimization
### 3.8.3 Try to include architecture
ifneq ($(ARCH), )
CXXFLAGS += -DARCH=$(ARCH)
endif
### 3.9 Link Time Optimization
### This is a mix of compile and link time options because the lto link phase
### needs access to the optimization flags.
ifeq ($(optimize),yes)
@@ -748,7 +784,7 @@ ifeq ($(debug), no)
endif
endif
### 3.9 Android 5 can only run position independent executables. Note that this
### 3.10 Android 5 can only run position independent executables. Note that this
### breaks Android 4.0 and earlier.
ifeq ($(OS), Android)
CXXFLAGS += -fPIE
@@ -759,25 +795,25 @@ endif
### Section 4. Public Targets
### ==========================================================================
help:
@echo ""
@echo "To compile stockfish, type: "
@echo ""
@echo "make target ARCH=arch [COMP=compiler] [COMPCXX=cxx]"
@echo "make -j target [ARCH=arch] [COMP=compiler] [COMPCXX=cxx]"
@echo ""
@echo "Supported targets:"
@echo ""
@echo "help > Display architecture details"
@echo "profile-build > standard build with profile-guided optimization"
@echo "build > skip profile-guided optimization"
@echo "net > Download the default nnue net"
@echo "net > Download the default nnue nets"
@echo "strip > Strip executable"
@echo "install > Install executable"
@echo "clean > Clean up"
@echo ""
@echo "Supported archs:"
@echo ""
@echo "native > select the best architecture for the host processor (default)"
@echo "x86-64-vnni512 > x86 64-bit with vnni 512bit support"
@echo "x86-64-vnni256 > x86 64-bit with vnni 512bit support, limit operands to 256bit wide"
@echo "x86-64-avx512 > x86 64-bit with avx512 support"
@@ -785,13 +821,13 @@ help:
@echo "x86-64-bmi2 > x86 64-bit with bmi2 support"
@echo "x86-64-avx2 > x86 64-bit with avx2 support"
@echo "x86-64-sse41-popcnt > x86 64-bit with sse41 and popcnt support"
@echo "x86-64-modern > common modern CPU, currently x86-64-sse41-popcnt"
@echo "x86-64-modern > deprecated, currently x86-64-sse41-popcnt"
@echo "x86-64-ssse3 > x86 64-bit with ssse3 support"
@echo "x86-64-sse3-popcnt > x86 64-bit with sse3 and popcnt support"
@echo "x86-64-sse3-popcnt > x86 64-bit with sse3 compile and popcnt support"
@echo "x86-64 > x86 64-bit generic (with sse2 support)"
@echo "x86-32-sse41-popcnt > x86 32-bit with sse41 and popcnt support"
@echo "x86-32-sse2 > x86 32-bit with sse2 support"
@echo "x86-32 > x86 32-bit generic (with mmx and sse support)"
@echo "x86-32 > x86 32-bit generic (with mmx compile support)"
@echo "ppc-64 > PPC 64-bit"
@echo "ppc-32 > PPC 32-bit"
@echo "armv7 > ARMv7 32-bit"
@@ -803,11 +839,12 @@ help:
@echo "general-64 > unspecified 64-bit"
@echo "general-32 > unspecified 32-bit"
@echo "riscv64 > RISC-V 64-bit"
@echo "loongarch64 > LoongArch 64-bit"
@echo ""
@echo "Supported compilers:"
@echo ""
@echo "gcc > Gnu compiler (default)"
@echo "mingw > Gnu compiler with MinGW under Windows"
@echo "gcc > GNU compiler (default)"
@echo "mingw > GNU compiler with MinGW under Windows"
@echo "clang > LLVM Clang compiler"
@echo "icx > Intel oneAPI DPC++/C++ Compiler"
@echo "ndk > Google NDK to cross-compile for Android"
@@ -815,30 +852,30 @@ help:
@echo "Simple examples. If you don't know what to do, you likely want to run one of: "
@echo ""
@echo "make -j profile-build ARCH=x86-64-avx2 # typically a fast compile for common systems "
@echo "make -j profile-build ARCH=x86-64-modern # A more portable compile for 64-bit systems "
@echo "make -j profile-build ARCH=x86-64-sse41-popcnt # A more portable compile for 64-bit systems "
@echo "make -j profile-build ARCH=x86-64 # A portable compile for 64-bit systems "
@echo ""
@echo "Advanced examples, for experienced users: "
@echo ""
@echo "make -j profile-build ARCH=x86-64-bmi2"
@echo "make -j profile-build ARCH=x86-64-bmi2 COMP=gcc COMPCXX=g++-9.0"
@echo "make -j profile-build ARCH=x86-64-avxvnni"
@echo "make -j profile-build ARCH=x86-64-avxvnni COMP=gcc COMPCXX=g++-12.0"
@echo "make -j build ARCH=x86-64-ssse3 COMP=clang"
@echo ""
@echo "-------------------------------"
ifeq ($(SUPPORTED_ARCH)$(help_skip_sanity), true)
@echo "The selected architecture $(ARCH) will enable the following configuration: "
@$(MAKE) ARCH=$(ARCH) COMP=$(COMP) config-sanity
else
ifneq ($(SUPPORTED_ARCH), true)
@echo "Specify a supported architecture with the ARCH option for more details"
@echo ""
endif
.PHONY: help build profile-build strip install clean net objclean profileclean \
config-sanity \
.PHONY: help analyze build profile-build strip install clean net \
objclean profileclean config-sanity \
icx-profile-use icx-profile-make \
gcc-profile-use gcc-profile-make \
clang-profile-use clang-profile-make FORCE
clang-profile-use clang-profile-make FORCE \
format analyze
analyze: net config-sanity objclean
$(MAKE) -k ARCH=$(ARCH) COMP=$(COMP) $(OBJS)
build: net config-sanity
$(MAKE) ARCH=$(ARCH) COMP=$(COMP) all
@@ -849,7 +886,8 @@ profile-build: net config-sanity objclean profileclean
$(MAKE) ARCH=$(ARCH) COMP=$(COMP) $(profile_make)
@echo ""
@echo "Step 2/4. Running benchmark for pgo-build ..."
$(PGOBENCH) 2>&1 | tail -n 4
$(PGOBENCH) > PGOBENCH.out 2>&1
tail -n 4 PGOBENCH.out
@echo ""
@echo "Step 3/4. Building optimized executable ..."
$(MAKE) ARCH=$(ARCH) COMP=$(COMP) objclean
@@ -870,42 +908,6 @@ install:
clean: objclean profileclean
@rm -f .depend *~ core
# evaluation network (nnue)
net:
$(eval nnuenet := $(shell grep EvalFileDefaultName evaluate.h | grep define | sed 's/.*\(nn-[a-z0-9]\{12\}.nnue\).*/\1/'))
@echo "Default net: $(nnuenet)"
$(eval nnuedownloadurl1 := https://tests.stockfishchess.org/api/nn/$(nnuenet))
$(eval nnuedownloadurl2 := https://github.com/official-stockfish/networks/raw/master/$(nnuenet))
$(eval curl_or_wget := $(shell if hash curl 2>/dev/null; then echo "curl -skL"; elif hash wget 2>/dev/null; then echo "wget -qO-"; fi))
@if [ "x$(curl_or_wget)" = "x" ]; then \
echo "Neither curl nor wget is installed. Install one of these tools unless the net has been downloaded manually"; \
fi
$(eval shasum_command := $(shell if hash shasum 2>/dev/null; then echo "shasum -a 256 "; elif hash sha256sum 2>/dev/null; then echo "sha256sum "; fi))
@if [ "x$(shasum_command)" = "x" ]; then \
echo "shasum / sha256sum not found, skipping net validation"; \
fi
@for nnuedownloadurl in "$(nnuedownloadurl1)" "$(nnuedownloadurl2)"; do \
if test -f "$(nnuenet)"; then \
echo "$(nnuenet) available."; \
else \
if [ "x$(curl_or_wget)" != "x" ]; then \
echo "Downloading $${nnuedownloadurl}"; $(curl_or_wget) $${nnuedownloadurl} > $(nnuenet);\
else \
echo "No net found and download not possible"; exit 1;\
fi; \
fi; \
if [ "x$(shasum_command)" != "x" ]; then \
if [ "$(nnuenet)" != "nn-"`$(shasum_command) $(nnuenet) | cut -c1-12`".nnue" ]; then \
echo "Removing failed download"; rm -f $(nnuenet); \
else \
echo "Network validated"; break; \
fi; \
fi; \
done
@if ! test -f "$(nnuenet)"; then \
echo "Failed to download $(nnuenet)."; \
fi
# clean binaries and objects
objclean:
@rm -f stockfish stockfish.exe *.o ./syzygy/*.o ./nnue/*.o ./nnue/features/*.o
@@ -913,13 +915,71 @@ objclean:
# clean auxiliary profiling files
profileclean:
@rm -rf profdir
@rm -f bench.txt *.gcda *.gcno ./syzygy/*.gcda ./nnue/*.gcda ./nnue/features/*.gcda *.s
@rm -f bench.txt *.gcda *.gcno ./syzygy/*.gcda ./nnue/*.gcda ./nnue/features/*.gcda *.s PGOBENCH.out
@rm -f stockfish.profdata *.profraw
@rm -f stockfish.*args*
@rm -f stockfish.*lt*
@rm -f stockfish.res
@rm -f ./-lstdc++.res
define fetch_network
@echo "Default net: $(nnuenet)"
@if [ "x$(curl_or_wget)" = "x" ]; then \
echo "Neither curl nor wget is installed. Install one of these tools unless the net has been downloaded manually"; \
fi
@if [ "x$(shasum_command)" = "x" ]; then \
echo "shasum / sha256sum not found, skipping net validation"; \
elif test -f "$(nnuenet)"; then \
if [ "$(nnuenet)" != "nn-"`$(shasum_command) $(nnuenet) | cut -c1-12`".nnue" ]; then \
echo "Removing invalid network"; rm -f $(nnuenet); \
fi; \
fi;
@for nnuedownloadurl in "$(nnuedownloadurl1)" "$(nnuedownloadurl2)"; do \
if test -f "$(nnuenet)"; then \
echo "$(nnuenet) available : OK"; break; \
else \
if [ "x$(curl_or_wget)" != "x" ]; then \
echo "Downloading $${nnuedownloadurl}"; $(curl_or_wget) $${nnuedownloadurl} > $(nnuenet);\
else \
echo "No net found and download not possible"; exit 1;\
fi; \
fi; \
if [ "x$(shasum_command)" != "x" ]; then \
if [ "$(nnuenet)" != "nn-"`$(shasum_command) $(nnuenet) | cut -c1-12`".nnue" ]; then \
echo "Removing failed download"; rm -f $(nnuenet); \
fi; \
fi; \
done
@if ! test -f "$(nnuenet)"; then \
echo "Failed to download $(nnuenet)."; \
fi;
@if [ "x$(shasum_command)" != "x" ]; then \
if [ "$(nnuenet)" = "nn-"`$(shasum_command) $(nnuenet) | cut -c1-12`".nnue" ]; then \
echo "Network validated"; break; \
fi; \
fi;
endef
# set up shell variables for the net stuff
define netvariables
$(eval nnuenet := $(shell grep $(1) evaluate.h | grep define | sed 's/.*\(nn-[a-z0-9]\{12\}.nnue\).*/\1/'))
$(eval nnuedownloadurl1 := https://tests.stockfishchess.org/api/nn/$(nnuenet))
$(eval nnuedownloadurl2 := https://github.com/official-stockfish/networks/raw/master/$(nnuenet))
$(eval curl_or_wget := $(shell if hash curl 2>/dev/null; then echo "curl -skL"; elif hash wget 2>/dev/null; then echo "wget -qO-"; fi))
$(eval shasum_command := $(shell if hash shasum 2>/dev/null; then echo "shasum -a 256 "; elif hash sha256sum 2>/dev/null; then echo "sha256sum "; fi))
endef
# evaluation network (nnue)
net:
$(call netvariables, EvalFileDefaultNameBig)
$(call fetch_network)
$(call netvariables, EvalFileDefaultNameSmall)
$(call fetch_network)
format:
$(CLANG-FORMAT) -i $(SRCS) $(HEADERS) -style=file
# default target
default:
help
@@ -969,7 +1029,7 @@ config-sanity: net
@test "$(SUPPORTED_ARCH)" = "true"
@test "$(arch)" = "any" || test "$(arch)" = "x86_64" || test "$(arch)" = "i386" || \
test "$(arch)" = "ppc64" || test "$(arch)" = "ppc" || test "$(arch)" = "e2k" || \
test "$(arch)" = "armv7" || test "$(arch)" = "armv8" || test "$(arch)" = "arm64" || test "$(arch)" = "riscv64"
test "$(arch)" = "armv7" || test "$(arch)" = "armv8" || test "$(arch)" = "arm64" || test "$(arch)" = "riscv64" || test "$(arch)" = "loongarch64"
@test "$(bits)" = "32" || test "$(bits)" = "64"
@test "$(prefetch)" = "yes" || test "$(prefetch)" = "no"
@test "$(popcnt)" = "yes" || test "$(popcnt)" = "no"
+58 -70
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -18,18 +18,17 @@
#include "benchmark.h"
#include <cstdlib>
#include <fstream>
#include <iostream>
#include <istream>
#include <vector>
#include "position.h"
using namespace std;
namespace {
const vector<string> Defaults = {
// clang-format off
const std::vector<std::string> Defaults = {
"setoption name UCI_Chess960 value false",
"rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR w KQkq - 0 1",
"r3k2r/p1ppqpb1/bn2pnp1/3PN3/1p2P3/2N2Q1p/PPPBBPPP/R3K2R w KQkq - 0 10",
@@ -92,86 +91,75 @@ const vector<string> Defaults = {
"nqbnrkrb/pppppppp/8/8/8/8/PPPPPPPP/NQBNRKRB w KQkq - 0 1",
"setoption name UCI_Chess960 value false"
};
// clang-format on
} // namespace
} // namespace
namespace Stockfish {
/// setup_bench() builds a list of UCI commands to be run by bench. There
/// are five parameters: TT size in MB, number of search threads that
/// should be used, the limit value spent for each position, a file name
/// where to look for positions in FEN format, the type of the limit:
/// depth, perft, nodes and movetime (in millisecs), and evaluation type
/// mixed (default), classical, NNUE.
///
/// bench -> search default positions up to depth 13
/// bench 64 1 15 -> search default positions up to depth 15 (TT = 64MB)
/// bench 64 4 5000 current movetime -> search current position with 4 threads for 5 sec
/// bench 64 1 100000 default nodes -> search default positions for 100K nodes each
/// bench 16 1 5 default perft -> run a perft 5 on default positions
// Builds a list of UCI commands to be run by bench. There
// are five parameters: TT size in MB, number of search threads that
// should be used, the limit value spent for each position, a file name
// where to look for positions in FEN format, and the type of the limit:
// depth, perft, nodes and movetime (in milliseconds). Examples:
//
// bench : search default positions up to depth 13
// bench 64 1 15 : search default positions up to depth 15 (TT = 64MB)
// bench 64 1 100000 default nodes : search default positions for 100K nodes each
// bench 64 4 5000 current movetime : search current position with 4 threads for 5 sec
// bench 16 1 5 blah perft : run a perft 5 on positions in file "blah"
std::vector<std::string> setup_bench(const Position& current, std::istream& is) {
vector<string> setup_bench(const Position& current, istream& is) {
std::vector<std::string> fens, list;
std::string go, token;
vector<string> fens, list;
string go, token;
// Assign default values to missing arguments
std::string ttSize = (is >> token) ? token : "16";
std::string threads = (is >> token) ? token : "1";
std::string limit = (is >> token) ? token : "13";
std::string fenFile = (is >> token) ? token : "default";
std::string limitType = (is >> token) ? token : "depth";
// Assign default values to missing arguments
string ttSize = (is >> token) ? token : "16";
string threads = (is >> token) ? token : "1";
string limit = (is >> token) ? token : "13";
string fenFile = (is >> token) ? token : "default";
string limitType = (is >> token) ? token : "depth";
string evalType = (is >> token) ? token : "mixed";
go = limitType == "eval" ? "eval" : "go " + limitType + " " + limit;
go = limitType == "eval" ? "eval" : "go " + limitType + " " + limit;
if (fenFile == "default")
fens = Defaults;
if (fenFile == "default")
fens = Defaults;
else if (fenFile == "current")
fens.push_back(current.fen());
else if (fenFile == "current")
fens.push_back(current.fen());
else
{
std::string fen;
std::ifstream file(fenFile);
else
{
string fen;
ifstream file(fenFile);
if (!file.is_open())
{
std::cerr << "Unable to open file " << fenFile << std::endl;
exit(EXIT_FAILURE);
}
if (!file.is_open())
{
cerr << "Unable to open file " << fenFile << endl;
exit(EXIT_FAILURE);
}
while (getline(file, fen))
if (!fen.empty())
fens.push_back(fen);
while (getline(file, fen))
if (!fen.empty())
fens.push_back(fen);
file.close();
}
file.close();
}
list.emplace_back("setoption name Threads value " + threads);
list.emplace_back("setoption name Hash value " + ttSize);
list.emplace_back("ucinewgame");
list.emplace_back("setoption name Threads value " + threads);
list.emplace_back("setoption name Hash value " + ttSize);
list.emplace_back("ucinewgame");
for (const std::string& fen : fens)
if (fen.find("setoption") != std::string::npos)
list.emplace_back(fen);
else
{
list.emplace_back("position fen " + fen);
list.emplace_back(go);
}
size_t posCounter = 0;
for (const string& fen : fens)
if (fen.find("setoption") != string::npos)
list.emplace_back(fen);
else
{
if (evalType == "classical" || (evalType == "mixed" && posCounter % 2 == 0))
list.emplace_back("setoption name Use NNUE value false");
else if (evalType == "NNUE" || (evalType == "mixed" && posCounter % 2 != 0))
list.emplace_back("setoption name Use NNUE value true");
list.emplace_back("position fen " + fen);
list.emplace_back(go);
++posCounter;
}
list.emplace_back("setoption name Use NNUE value true");
return list;
return list;
}
} // namespace Stockfish
} // namespace Stockfish
+3 -3
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -29,6 +29,6 @@ class Position;
std::vector<std::string> setup_bench(const Position&, std::istream&);
} // namespace Stockfish
} // namespace Stockfish
#endif // #ifndef BENCHMARK_H_INCLUDED
#endif // #ifndef BENCHMARK_H_INCLUDED
-172
View File
@@ -1,172 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Stockfish is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include <cassert>
#include <vector>
#include <bitset>
#include "bitboard.h"
#include "types.h"
namespace Stockfish {
namespace {
// There are 24 possible pawn squares: files A to D and ranks from 2 to 7.
// Positions with the pawn on files E to H will be mirrored before probing.
constexpr unsigned MAX_INDEX = 2*24*64*64; // stm * psq * wksq * bksq = 196608
std::bitset<MAX_INDEX> KPKBitbase;
// A KPK bitbase index is an integer in [0, IndexMax] range
//
// Information is mapped in a way that minimizes the number of iterations:
//
// bit 0- 5: white king square (from SQ_A1 to SQ_H8)
// bit 6-11: black king square (from SQ_A1 to SQ_H8)
// bit 12: side to move (WHITE or BLACK)
// bit 13-14: white pawn file (from FILE_A to FILE_D)
// bit 15-17: white pawn RANK_7 - rank (from RANK_7 - RANK_7 to RANK_7 - RANK_2)
unsigned index(Color stm, Square bksq, Square wksq, Square psq) {
return int(wksq) | (bksq << 6) | (stm << 12) | (file_of(psq) << 13) | ((RANK_7 - rank_of(psq)) << 15);
}
enum Result {
INVALID = 0,
UNKNOWN = 1,
DRAW = 2,
WIN = 4
};
Result& operator|=(Result& r, Result v) { return r = Result(r | v); }
struct KPKPosition {
KPKPosition() = default;
explicit KPKPosition(unsigned idx);
operator Result() const { return result; }
Result classify(const std::vector<KPKPosition>& db);
Color stm;
Square ksq[COLOR_NB], psq;
Result result;
};
} // namespace
bool Bitbases::probe(Square wksq, Square wpsq, Square bksq, Color stm) {
assert(file_of(wpsq) <= FILE_D);
return KPKBitbase[index(stm, bksq, wksq, wpsq)];
}
void Bitbases::init() {
std::vector<KPKPosition> db(MAX_INDEX);
unsigned idx, repeat = 1;
// Initialize db with known win / draw positions
for (idx = 0; idx < MAX_INDEX; ++idx)
db[idx] = KPKPosition(idx);
// Iterate through the positions until none of the unknown positions can be
// changed to either wins or draws (15 cycles needed).
while (repeat)
for (repeat = idx = 0; idx < MAX_INDEX; ++idx)
repeat |= (db[idx] == UNKNOWN && db[idx].classify(db) != UNKNOWN);
// Fill the bitbase with the decisive results
for (idx = 0; idx < MAX_INDEX; ++idx)
if (db[idx] == WIN)
KPKBitbase.set(idx);
}
namespace {
KPKPosition::KPKPosition(unsigned idx) {
ksq[WHITE] = Square((idx >> 0) & 0x3F);
ksq[BLACK] = Square((idx >> 6) & 0x3F);
stm = Color ((idx >> 12) & 0x01);
psq = make_square(File((idx >> 13) & 0x3), Rank(RANK_7 - ((idx >> 15) & 0x7)));
// Invalid if two pieces are on the same square or if a king can be captured
if ( distance(ksq[WHITE], ksq[BLACK]) <= 1
|| ksq[WHITE] == psq
|| ksq[BLACK] == psq
|| (stm == WHITE && (pawn_attacks_bb(WHITE, psq) & ksq[BLACK])))
result = INVALID;
// Win if the pawn can be promoted without getting captured
else if ( stm == WHITE
&& rank_of(psq) == RANK_7
&& ksq[WHITE] != psq + NORTH
&& ( distance(ksq[BLACK], psq + NORTH) > 1
|| (distance(ksq[WHITE], psq + NORTH) == 1)))
result = WIN;
// Draw if it is stalemate or the black king can capture the pawn
else if ( stm == BLACK
&& ( !(attacks_bb<KING>(ksq[BLACK]) & ~(attacks_bb<KING>(ksq[WHITE]) | pawn_attacks_bb(WHITE, psq)))
|| (attacks_bb<KING>(ksq[BLACK]) & ~attacks_bb<KING>(ksq[WHITE]) & psq)))
result = DRAW;
// Position will be classified later
else
result = UNKNOWN;
}
Result KPKPosition::classify(const std::vector<KPKPosition>& db) {
// White to move: If one move leads to a position classified as WIN, the result
// of the current position is WIN. If all moves lead to positions classified
// as DRAW, the current position is classified as DRAW, otherwise the current
// position is classified as UNKNOWN.
//
// Black to move: If one move leads to a position classified as DRAW, the result
// of the current position is DRAW. If all moves lead to positions classified
// as WIN, the position is classified as WIN, otherwise the current position is
// classified as UNKNOWN.
const Result Good = (stm == WHITE ? WIN : DRAW);
const Result Bad = (stm == WHITE ? DRAW : WIN);
Result r = INVALID;
Bitboard b = attacks_bb<KING>(ksq[stm]);
while (b)
r |= stm == WHITE ? db[index(BLACK, ksq[BLACK], pop_lsb(b), psq)]
: db[index(WHITE, pop_lsb(b), ksq[WHITE], psq)];
if (stm == WHITE)
{
if (rank_of(psq) < RANK_7) // Single push
r |= db[index(BLACK, ksq[BLACK], ksq[WHITE], psq + NORTH)];
if ( rank_of(psq) == RANK_2 // Double push
&& psq + NORTH != ksq[WHITE]
&& psq + NORTH != ksq[BLACK])
r |= db[index(BLACK, ksq[BLACK], ksq[WHITE], psq + NORTH + NORTH)];
}
return result = r & Good ? Good : r & UNKNOWN ? UNKNOWN : Bad;
}
} // namespace
} // namespace Stockfish
+74 -76
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -16,10 +16,12 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "bitboard.h"
#include <algorithm>
#include <bitset>
#include <initializer_list>
#include "bitboard.h"
#include "misc.h"
namespace Stockfish {
@@ -37,90 +39,86 @@ Magic BishopMagics[SQUARE_NB];
namespace {
Bitboard RookTable[0x19000]; // To store rook attacks
Bitboard BishopTable[0x1480]; // To store bishop attacks
Bitboard RookTable[0x19000]; // To store rook attacks
Bitboard BishopTable[0x1480]; // To store bishop attacks
void init_magics(PieceType pt, Bitboard table[], Magic magics[]);
void init_magics(PieceType pt, Bitboard table[], Magic magics[]);
}
/// safe_destination() returns the bitboard of target square for the given step
/// from the given square. If the step is off the board, returns empty bitboard.
inline Bitboard safe_destination(Square s, int step) {
// Returns the bitboard of target square for the given step
// from the given square. If the step is off the board, returns empty bitboard.
Bitboard safe_destination(Square s, int step) {
Square to = Square(s + step);
return is_ok(to) && distance(s, to) <= 2 ? square_bb(to) : Bitboard(0);
}
}
/// Bitboards::pretty() returns an ASCII representation of a bitboard suitable
/// to be printed to standard output. Useful for debugging.
// Returns an ASCII representation of a bitboard suitable
// to be printed to standard output. Useful for debugging.
std::string Bitboards::pretty(Bitboard b) {
std::string s = "+---+---+---+---+---+---+---+---+\n";
std::string s = "+---+---+---+---+---+---+---+---+\n";
for (Rank r = RANK_8; r >= RANK_1; --r)
{
for (File f = FILE_A; f <= FILE_H; ++f)
s += b & make_square(f, r) ? "| X " : "| ";
for (Rank r = RANK_8; r >= RANK_1; --r)
{
for (File f = FILE_A; f <= FILE_H; ++f)
s += b & make_square(f, r) ? "| X " : "| ";
s += "| " + std::to_string(1 + r) + "\n+---+---+---+---+---+---+---+---+\n";
}
s += " a b c d e f g h\n";
s += "| " + std::to_string(1 + r) + "\n+---+---+---+---+---+---+---+---+\n";
}
s += " a b c d e f g h\n";
return s;
return s;
}
/// Bitboards::init() initializes various bitboard tables. It is called at
/// startup and relies on global objects to be already zero-initialized.
// Initializes various bitboard tables. It is called at
// startup and relies on global objects to be already zero-initialized.
void Bitboards::init() {
for (unsigned i = 0; i < (1 << 16); ++i)
PopCnt16[i] = uint8_t(std::bitset<16>(i).count());
for (unsigned i = 0; i < (1 << 16); ++i)
PopCnt16[i] = uint8_t(std::bitset<16>(i).count());
for (Square s1 = SQ_A1; s1 <= SQ_H8; ++s1)
for (Square s2 = SQ_A1; s2 <= SQ_H8; ++s2)
SquareDistance[s1][s2] = std::max(distance<File>(s1, s2), distance<Rank>(s1, s2));
for (Square s1 = SQ_A1; s1 <= SQ_H8; ++s1)
for (Square s2 = SQ_A1; s2 <= SQ_H8; ++s2)
SquareDistance[s1][s2] = std::max(distance<File>(s1, s2), distance<Rank>(s1, s2));
init_magics(ROOK, RookTable, RookMagics);
init_magics(BISHOP, BishopTable, BishopMagics);
init_magics(ROOK, RookTable, RookMagics);
init_magics(BISHOP, BishopTable, BishopMagics);
for (Square s1 = SQ_A1; s1 <= SQ_H8; ++s1)
{
PawnAttacks[WHITE][s1] = pawn_attacks_bb<WHITE>(square_bb(s1));
PawnAttacks[BLACK][s1] = pawn_attacks_bb<BLACK>(square_bb(s1));
for (Square s1 = SQ_A1; s1 <= SQ_H8; ++s1)
{
PawnAttacks[WHITE][s1] = pawn_attacks_bb<WHITE>(square_bb(s1));
PawnAttacks[BLACK][s1] = pawn_attacks_bb<BLACK>(square_bb(s1));
for (int step : {-9, -8, -7, -1, 1, 7, 8, 9} )
PseudoAttacks[KING][s1] |= safe_destination(s1, step);
for (int step : {-9, -8, -7, -1, 1, 7, 8, 9})
PseudoAttacks[KING][s1] |= safe_destination(s1, step);
for (int step : {-17, -15, -10, -6, 6, 10, 15, 17} )
PseudoAttacks[KNIGHT][s1] |= safe_destination(s1, step);
for (int step : {-17, -15, -10, -6, 6, 10, 15, 17})
PseudoAttacks[KNIGHT][s1] |= safe_destination(s1, step);
PseudoAttacks[QUEEN][s1] = PseudoAttacks[BISHOP][s1] = attacks_bb<BISHOP>(s1, 0);
PseudoAttacks[QUEEN][s1] |= PseudoAttacks[ ROOK][s1] = attacks_bb< ROOK>(s1, 0);
PseudoAttacks[QUEEN][s1] = PseudoAttacks[BISHOP][s1] = attacks_bb<BISHOP>(s1, 0);
PseudoAttacks[QUEEN][s1] |= PseudoAttacks[ROOK][s1] = attacks_bb<ROOK>(s1, 0);
for (PieceType pt : { BISHOP, ROOK })
for (Square s2 = SQ_A1; s2 <= SQ_H8; ++s2)
{
if (PseudoAttacks[pt][s1] & s2)
{
LineBB[s1][s2] = (attacks_bb(pt, s1, 0) & attacks_bb(pt, s2, 0)) | s1 | s2;
BetweenBB[s1][s2] = (attacks_bb(pt, s1, square_bb(s2)) & attacks_bb(pt, s2, square_bb(s1)));
}
BetweenBB[s1][s2] |= s2;
}
}
for (PieceType pt : {BISHOP, ROOK})
for (Square s2 = SQ_A1; s2 <= SQ_H8; ++s2)
{
if (PseudoAttacks[pt][s1] & s2)
{
LineBB[s1][s2] = (attacks_bb(pt, s1, 0) & attacks_bb(pt, s2, 0)) | s1 | s2;
BetweenBB[s1][s2] =
(attacks_bb(pt, s1, square_bb(s2)) & attacks_bb(pt, s2, square_bb(s1)));
}
BetweenBB[s1][s2] |= s2;
}
}
}
namespace {
Bitboard sliding_attack(PieceType pt, Square sq, Bitboard occupied) {
Bitboard sliding_attack(PieceType pt, Square sq, Bitboard occupied) {
Bitboard attacks = 0;
Direction RookDirections[4] = {NORTH, SOUTH, EAST, WEST};
Bitboard attacks = 0;
Direction RookDirections[4] = {NORTH, SOUTH, EAST, WEST};
Direction BishopDirections[4] = {NORTH_EAST, SOUTH_EAST, SOUTH_WEST, NORTH_WEST};
for (Direction d : (pt == ROOK ? RookDirections : BishopDirections))
@@ -131,22 +129,21 @@ namespace {
}
return attacks;
}
}
// init_magics() computes all rook and bishop attacks at startup. Magic
// bitboards are used to look up attacks of sliding pieces. As a reference see
// www.chessprogramming.org/Magic_Bitboards. In particular, here we use the so
// called "fancy" approach.
void init_magics(PieceType pt, Bitboard table[], Magic magics[]) {
// Computes all rook and bishop attacks at startup. Magic
// bitboards are used to look up attacks of sliding pieces. As a reference see
// www.chessprogramming.org/Magic_Bitboards. In particular, here we use the so
// called "fancy" approach.
void init_magics(PieceType pt, Bitboard table[], Magic magics[]) {
// Optimal PRNG seeds to pick the correct magics in the shortest time
int seeds[][RANK_NB] = { { 8977, 44560, 54343, 38998, 5731, 95205, 104912, 17020 },
{ 728, 10316, 55013, 32803, 12281, 15100, 16645, 255 } };
int seeds[][RANK_NB] = {{8977, 44560, 54343, 38998, 5731, 95205, 104912, 17020},
{728, 10316, 55013, 32803, 12281, 15100, 16645, 255}};
Bitboard occupancy[4096], reference[4096], edges, b;
int epoch[4096] = {}, cnt = 0, size = 0;
int epoch[4096] = {}, cnt = 0, size = 0;
for (Square s = SQ_A1; s <= SQ_H8; ++s)
{
@@ -159,8 +156,8 @@ namespace {
// the number of 1s of the mask. Hence we deduce the size of the shift to
// apply to the 64 or 32 bits word to get the index.
Magic& m = magics[s];
m.mask = sliding_attack(pt, s, 0) & ~edges;
m.shift = (Is64Bit ? 64 : 32) - popcount(m.mask);
m.mask = sliding_attack(pt, s, 0) & ~edges;
m.shift = (Is64Bit ? 64 : 32) - popcount(m.mask);
// Set the offset for the attacks table of the square. We have individual
// table sizes for each square with "Fancy Magic Bitboards".
@@ -169,7 +166,8 @@ namespace {
// Use Carry-Rippler trick to enumerate all subsets of masks[s] and
// store the corresponding sliding attack bitboard in reference[].
b = size = 0;
do {
do
{
occupancy[size] = b;
reference[size] = sliding_attack(pt, s, b);
@@ -187,9 +185,9 @@ namespace {
// Find a magic for square 's' picking up an (almost) random number
// until we find the one that passes the verification test.
for (int i = 0; i < size; )
for (int i = 0; i < size;)
{
for (m.magic = 0; popcount((m.magic * m.mask) >> 56) < 6; )
for (m.magic = 0; popcount((m.magic * m.mask) >> 56) < 6;)
m.magic = rng.sparse_rand<Bitboard>();
// A good magic must map every possible occupancy to an index that
@@ -204,7 +202,7 @@ namespace {
if (epoch[idx] < cnt)
{
epoch[idx] = cnt;
epoch[idx] = cnt;
m.attacks[idx] = reference[i];
}
else if (m.attacks[idx] != reference[i])
@@ -212,7 +210,7 @@ namespace {
}
}
}
}
}
}
} // namespace Stockfish
} // namespace Stockfish
+210 -289
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -19,28 +19,23 @@
#ifndef BITBOARD_H_INCLUDED
#define BITBOARD_H_INCLUDED
#include <algorithm>
#include <cassert>
#include <cmath>
#include <cstdint>
#include <cstdlib>
#include <string>
#include "types.h"
namespace Stockfish {
namespace Bitbases {
void init();
bool probe(Square wksq, Square wpsq, Square bksq, Color us);
} // namespace Stockfish::Bitbases
namespace Bitboards {
void init();
void init();
std::string pretty(Bitboard b);
} // namespace Stockfish::Bitboards
constexpr Bitboard AllSquares = ~Bitboard(0);
constexpr Bitboard DarkSquares = 0xAA55AA55AA55AA55ULL;
} // namespace Stockfish::Bitboards
constexpr Bitboard FileABB = 0x0101010101010101ULL;
constexpr Bitboard FileBBB = FileABB << 1;
@@ -60,17 +55,6 @@ constexpr Bitboard Rank6BB = Rank1BB << (8 * 5);
constexpr Bitboard Rank7BB = Rank1BB << (8 * 6);
constexpr Bitboard Rank8BB = Rank1BB << (8 * 7);
constexpr Bitboard QueenSide = FileABB | FileBBB | FileCBB | FileDBB;
constexpr Bitboard CenterFiles = FileCBB | FileDBB | FileEBB | FileFBB;
constexpr Bitboard KingSide = FileEBB | FileFBB | FileGBB | FileHBB;
constexpr Bitboard Center = (FileDBB | FileEBB) & (Rank4BB | Rank5BB);
constexpr Bitboard KingFlank[FILE_NB] = {
QueenSide ^ FileDBB, QueenSide, QueenSide,
CenterFiles, CenterFiles,
KingSide, KingSide, KingSide ^ FileEBB
};
extern uint8_t PopCnt16[1 << 16];
extern uint8_t SquareDistance[SQUARE_NB][SQUARE_NB];
@@ -80,371 +64,308 @@ extern Bitboard PseudoAttacks[PIECE_TYPE_NB][SQUARE_NB];
extern Bitboard PawnAttacks[COLOR_NB][SQUARE_NB];
/// Magic holds all magic bitboards relevant data for a single square
// Magic holds all magic bitboards relevant data for a single square
struct Magic {
Bitboard mask;
Bitboard magic;
Bitboard* attacks;
unsigned shift;
Bitboard mask;
Bitboard magic;
Bitboard* attacks;
unsigned shift;
// Compute the attack's index using the 'magic bitboards' approach
unsigned index(Bitboard occupied) const {
// Compute the attack's index using the 'magic bitboards' approach
unsigned index(Bitboard occupied) const {
if (HasPext)
return unsigned(pext(occupied, mask));
if (HasPext)
return unsigned(pext(occupied, mask));
if (Is64Bit)
return unsigned(((occupied & mask) * magic) >> shift);
if (Is64Bit)
return unsigned(((occupied & mask) * magic) >> shift);
unsigned lo = unsigned(occupied) & unsigned(mask);
unsigned hi = unsigned(occupied >> 32) & unsigned(mask >> 32);
return (lo * unsigned(magic) ^ hi * unsigned(magic >> 32)) >> shift;
}
unsigned lo = unsigned(occupied) & unsigned(mask);
unsigned hi = unsigned(occupied >> 32) & unsigned(mask >> 32);
return (lo * unsigned(magic) ^ hi * unsigned(magic >> 32)) >> shift;
}
};
extern Magic RookMagics[SQUARE_NB];
extern Magic BishopMagics[SQUARE_NB];
inline Bitboard square_bb(Square s) {
assert(is_ok(s));
return (1ULL << s);
constexpr Bitboard square_bb(Square s) {
assert(is_ok(s));
return (1ULL << s);
}
/// Overloads of bitwise operators between a Bitboard and a Square for testing
/// whether a given bit is set in a bitboard, and for setting and clearing bits.
// Overloads of bitwise operators between a Bitboard and a Square for testing
// whether a given bit is set in a bitboard, and for setting and clearing bits.
inline Bitboard operator&( Bitboard b, Square s) { return b & square_bb(s); }
inline Bitboard operator|( Bitboard b, Square s) { return b | square_bb(s); }
inline Bitboard operator^( Bitboard b, Square s) { return b ^ square_bb(s); }
inline Bitboard operator&(Bitboard b, Square s) { return b & square_bb(s); }
inline Bitboard operator|(Bitboard b, Square s) { return b | square_bb(s); }
inline Bitboard operator^(Bitboard b, Square s) { return b ^ square_bb(s); }
inline Bitboard& operator|=(Bitboard& b, Square s) { return b |= square_bb(s); }
inline Bitboard& operator^=(Bitboard& b, Square s) { return b ^= square_bb(s); }
inline Bitboard operator&(Square s, Bitboard b) { return b & s; }
inline Bitboard operator|(Square s, Bitboard b) { return b | s; }
inline Bitboard operator^(Square s, Bitboard b) { return b ^ s; }
inline Bitboard operator&(Square s, Bitboard b) { return b & s; }
inline Bitboard operator|(Square s, Bitboard b) { return b | s; }
inline Bitboard operator^(Square s, Bitboard b) { return b ^ s; }
inline Bitboard operator|(Square s1, Square s2) { return square_bb(s1) | s2; }
inline Bitboard operator|(Square s1, Square s2) { return square_bb(s1) | s2; }
constexpr bool more_than_one(Bitboard b) {
return b & (b - 1);
}
constexpr bool more_than_one(Bitboard b) { return b & (b - 1); }
constexpr bool opposite_colors(Square s1, Square s2) {
return (s1 + rank_of(s1) + s2 + rank_of(s2)) & 1;
}
// rank_bb() and file_bb() return a bitboard representing all the squares on
// the given file or rank.
constexpr Bitboard rank_bb(Rank r) { return Rank1BB << (8 * r); }
constexpr Bitboard rank_bb(Square s) { return rank_bb(rank_of(s)); }
constexpr Bitboard file_bb(File f) { return FileABB << f; }
constexpr Bitboard file_bb(Square s) { return file_bb(file_of(s)); }
/// rank_bb() and file_bb() return a bitboard representing all the squares on
/// the given file or rank.
constexpr Bitboard rank_bb(Rank r) {
return Rank1BB << (8 * r);
}
constexpr Bitboard rank_bb(Square s) {
return rank_bb(rank_of(s));
}
constexpr Bitboard file_bb(File f) {
return FileABB << f;
}
constexpr Bitboard file_bb(Square s) {
return file_bb(file_of(s));
}
/// shift() moves a bitboard one or two steps as specified by the direction D
// Moves a bitboard one or two steps as specified by the direction D
template<Direction D>
constexpr Bitboard shift(Bitboard b) {
return D == NORTH ? b << 8 : D == SOUTH ? b >> 8
: D == NORTH+NORTH? b <<16 : D == SOUTH+SOUTH? b >>16
: D == EAST ? (b & ~FileHBB) << 1 : D == WEST ? (b & ~FileABB) >> 1
: D == NORTH_EAST ? (b & ~FileHBB) << 9 : D == NORTH_WEST ? (b & ~FileABB) << 7
: D == SOUTH_EAST ? (b & ~FileHBB) >> 7 : D == SOUTH_WEST ? (b & ~FileABB) >> 9
: 0;
return D == NORTH ? b << 8
: D == SOUTH ? b >> 8
: D == NORTH + NORTH ? b << 16
: D == SOUTH + SOUTH ? b >> 16
: D == EAST ? (b & ~FileHBB) << 1
: D == WEST ? (b & ~FileABB) >> 1
: D == NORTH_EAST ? (b & ~FileHBB) << 9
: D == NORTH_WEST ? (b & ~FileABB) << 7
: D == SOUTH_EAST ? (b & ~FileHBB) >> 7
: D == SOUTH_WEST ? (b & ~FileABB) >> 9
: 0;
}
/// pawn_attacks_bb() returns the squares attacked by pawns of the given color
/// from the squares in the given bitboard.
// Returns the squares attacked by pawns of the given color
// from the squares in the given bitboard.
template<Color C>
constexpr Bitboard pawn_attacks_bb(Bitboard b) {
return C == WHITE ? shift<NORTH_WEST>(b) | shift<NORTH_EAST>(b)
: shift<SOUTH_WEST>(b) | shift<SOUTH_EAST>(b);
return C == WHITE ? shift<NORTH_WEST>(b) | shift<NORTH_EAST>(b)
: shift<SOUTH_WEST>(b) | shift<SOUTH_EAST>(b);
}
inline Bitboard pawn_attacks_bb(Color c, Square s) {
assert(is_ok(s));
return PawnAttacks[c][s];
assert(is_ok(s));
return PawnAttacks[c][s];
}
/// pawn_double_attacks_bb() returns the squares doubly attacked by pawns of the
/// given color from the squares in the given bitboard.
template<Color C>
constexpr Bitboard pawn_double_attacks_bb(Bitboard b) {
return C == WHITE ? shift<NORTH_WEST>(b) & shift<NORTH_EAST>(b)
: shift<SOUTH_WEST>(b) & shift<SOUTH_EAST>(b);
}
/// adjacent_files_bb() returns a bitboard representing all the squares on the
/// adjacent files of a given square.
constexpr Bitboard adjacent_files_bb(Square s) {
return shift<EAST>(file_bb(s)) | shift<WEST>(file_bb(s));
}
/// line_bb() returns a bitboard representing an entire line (from board edge
/// to board edge) that intersects the two given squares. If the given squares
/// are not on a same file/rank/diagonal, the function returns 0. For instance,
/// line_bb(SQ_C4, SQ_F7) will return a bitboard with the A2-G8 diagonal.
// Returns a bitboard representing an entire line (from board edge
// to board edge) that intersects the two given squares. If the given squares
// are not on a same file/rank/diagonal, the function returns 0. For instance,
// line_bb(SQ_C4, SQ_F7) will return a bitboard with the A2-G8 diagonal.
inline Bitboard line_bb(Square s1, Square s2) {
assert(is_ok(s1) && is_ok(s2));
return LineBB[s1][s2];
assert(is_ok(s1) && is_ok(s2));
return LineBB[s1][s2];
}
/// between_bb(s1, s2) returns a bitboard representing the squares in the semi-open
/// segment between the squares s1 and s2 (excluding s1 but including s2). If the
/// given squares are not on a same file/rank/diagonal, it returns s2. For instance,
/// between_bb(SQ_C4, SQ_F7) will return a bitboard with squares D5, E6 and F7, but
/// between_bb(SQ_E6, SQ_F8) will return a bitboard with the square F8. This trick
/// allows to generate non-king evasion moves faster: the defending piece must either
/// interpose itself to cover the check or capture the checking piece.
// Returns a bitboard representing the squares in the semi-open
// segment between the squares s1 and s2 (excluding s1 but including s2). If the
// given squares are not on a same file/rank/diagonal, it returns s2. For instance,
// between_bb(SQ_C4, SQ_F7) will return a bitboard with squares D5, E6 and F7, but
// between_bb(SQ_E6, SQ_F8) will return a bitboard with the square F8. This trick
// allows to generate non-king evasion moves faster: the defending piece must either
// interpose itself to cover the check or capture the checking piece.
inline Bitboard between_bb(Square s1, Square s2) {
assert(is_ok(s1) && is_ok(s2));
return BetweenBB[s1][s2];
assert(is_ok(s1) && is_ok(s2));
return BetweenBB[s1][s2];
}
// Returns true if the squares s1, s2 and s3 are aligned either on a
// straight or on a diagonal line.
inline bool aligned(Square s1, Square s2, Square s3) { return line_bb(s1, s2) & s3; }
/// forward_ranks_bb() returns a bitboard representing the squares on the ranks in
/// front of the given one, from the point of view of the given color. For instance,
/// forward_ranks_bb(BLACK, SQ_D3) will return the 16 squares on ranks 1 and 2.
constexpr Bitboard forward_ranks_bb(Color c, Square s) {
return c == WHITE ? ~Rank1BB << 8 * relative_rank(WHITE, s)
: ~Rank8BB >> 8 * relative_rank(BLACK, s);
// distance() functions return the distance between x and y, defined as the
// number of steps for a king in x to reach y.
template<typename T1 = Square>
inline int distance(Square x, Square y);
template<>
inline int distance<File>(Square x, Square y) {
return std::abs(file_of(x) - file_of(y));
}
/// forward_file_bb() returns a bitboard representing all the squares along the
/// line in front of the given one, from the point of view of the given color.
constexpr Bitboard forward_file_bb(Color c, Square s) {
return forward_ranks_bb(c, s) & file_bb(s);
template<>
inline int distance<Rank>(Square x, Square y) {
return std::abs(rank_of(x) - rank_of(y));
}
/// pawn_attack_span() returns a bitboard representing all the squares that can
/// be attacked by a pawn of the given color when it moves along its file, starting
/// from the given square.
constexpr Bitboard pawn_attack_span(Color c, Square s) {
return forward_ranks_bb(c, s) & adjacent_files_bb(s);
template<>
inline int distance<Square>(Square x, Square y) {
return SquareDistance[x][y];
}
/// passed_pawn_span() returns a bitboard which can be used to test if a pawn of
/// the given color and on the given square is a passed pawn.
constexpr Bitboard passed_pawn_span(Color c, Square s) {
return pawn_attack_span(c, s) | forward_file_bb(c, s);
}
/// aligned() returns true if the squares s1, s2 and s3 are aligned either on a
/// straight or on a diagonal line.
inline bool aligned(Square s1, Square s2, Square s3) {
return line_bb(s1, s2) & s3;
}
/// distance() functions return the distance between x and y, defined as the
/// number of steps for a king in x to reach y.
template<typename T1 = Square> inline int distance(Square x, Square y);
template<> inline int distance<File>(Square x, Square y) { return std::abs(file_of(x) - file_of(y)); }
template<> inline int distance<Rank>(Square x, Square y) { return std::abs(rank_of(x) - rank_of(y)); }
template<> inline int distance<Square>(Square x, Square y) { return SquareDistance[x][y]; }
inline int edge_distance(File f) { return std::min(f, File(FILE_H - f)); }
inline int edge_distance(Rank r) { return std::min(r, Rank(RANK_8 - r)); }
/// attacks_bb(Square) returns the pseudo attacks of the give piece type
/// assuming an empty board.
// Returns the pseudo attacks of the given piece type
// assuming an empty board.
template<PieceType Pt>
inline Bitboard attacks_bb(Square s) {
assert((Pt != PAWN) && (is_ok(s)));
return PseudoAttacks[Pt][s];
assert((Pt != PAWN) && (is_ok(s)));
return PseudoAttacks[Pt][s];
}
/// attacks_bb(Square, Bitboard) returns the attacks by the given piece
/// assuming the board is occupied according to the passed Bitboard.
/// Sliding piece attacks do not continue passed an occupied square.
// Returns the attacks by the given piece
// assuming the board is occupied according to the passed Bitboard.
// Sliding piece attacks do not continue passed an occupied square.
template<PieceType Pt>
inline Bitboard attacks_bb(Square s, Bitboard occupied) {
assert((Pt != PAWN) && (is_ok(s)));
assert((Pt != PAWN) && (is_ok(s)));
switch (Pt)
{
case BISHOP: return BishopMagics[s].attacks[BishopMagics[s].index(occupied)];
case ROOK : return RookMagics[s].attacks[ RookMagics[s].index(occupied)];
case QUEEN : return attacks_bb<BISHOP>(s, occupied) | attacks_bb<ROOK>(s, occupied);
default : return PseudoAttacks[Pt][s];
}
switch (Pt)
{
case BISHOP :
return BishopMagics[s].attacks[BishopMagics[s].index(occupied)];
case ROOK :
return RookMagics[s].attacks[RookMagics[s].index(occupied)];
case QUEEN :
return attacks_bb<BISHOP>(s, occupied) | attacks_bb<ROOK>(s, occupied);
default :
return PseudoAttacks[Pt][s];
}
}
// Returns the attacks by the given piece
// assuming the board is occupied according to the passed Bitboard.
// Sliding piece attacks do not continue passed an occupied square.
inline Bitboard attacks_bb(PieceType pt, Square s, Bitboard occupied) {
assert((pt != PAWN) && (is_ok(s)));
assert((pt != PAWN) && (is_ok(s)));
switch (pt)
{
case BISHOP: return attacks_bb<BISHOP>(s, occupied);
case ROOK : return attacks_bb< ROOK>(s, occupied);
case QUEEN : return attacks_bb<BISHOP>(s, occupied) | attacks_bb<ROOK>(s, occupied);
default : return PseudoAttacks[pt][s];
}
switch (pt)
{
case BISHOP :
return attacks_bb<BISHOP>(s, occupied);
case ROOK :
return attacks_bb<ROOK>(s, occupied);
case QUEEN :
return attacks_bb<BISHOP>(s, occupied) | attacks_bb<ROOK>(s, occupied);
default :
return PseudoAttacks[pt][s];
}
}
/// popcount() counts the number of non-zero bits in a bitboard
// Counts the number of non-zero bits in a bitboard.
inline int popcount(Bitboard b) {
#ifndef USE_POPCNT
union { Bitboard bb; uint16_t u[4]; } v = { b };
return PopCnt16[v.u[0]] + PopCnt16[v.u[1]] + PopCnt16[v.u[2]] + PopCnt16[v.u[3]];
union {
Bitboard bb;
uint16_t u[4];
} v = {b};
return PopCnt16[v.u[0]] + PopCnt16[v.u[1]] + PopCnt16[v.u[2]] + PopCnt16[v.u[3]];
#elif defined(_MSC_VER) || defined(__INTEL_COMPILER)
#elif defined(_MSC_VER)
return (int)_mm_popcnt_u64(b);
return int(_mm_popcnt_u64(b));
#else // Assumed gcc or compatible compiler
#else // Assumed gcc or compatible compiler
return __builtin_popcountll(b);
return __builtin_popcountll(b);
#endif
}
/// lsb() and msb() return the least/most significant bit in a non-zero bitboard
#if defined(__GNUC__) // GCC, Clang, ICC
// Returns the least significant bit in a non-zero bitboard.
inline Square lsb(Bitboard b) {
assert(b);
return Square(__builtin_ctzll(b));
}
assert(b);
inline Square msb(Bitboard b) {
assert(b);
return Square(63 ^ __builtin_clzll(b));
}
#if defined(__GNUC__) // GCC, Clang, ICX
#elif defined(_MSC_VER) // MSVC
return Square(__builtin_ctzll(b));
#ifdef _WIN64 // MSVC, WIN64
#elif defined(_MSC_VER)
#ifdef _WIN64 // MSVC, WIN64
inline Square lsb(Bitboard b) {
assert(b);
unsigned long idx;
_BitScanForward64(&idx, b);
return (Square) idx;
}
unsigned long idx;
_BitScanForward64(&idx, b);
return Square(idx);
inline Square msb(Bitboard b) {
assert(b);
unsigned long idx;
_BitScanReverse64(&idx, b);
return (Square) idx;
}
#else // MSVC, WIN32
inline Square lsb(Bitboard b) {
assert(b);
unsigned long idx;
if (b & 0xffffffff) {
_BitScanForward(&idx, int32_t(b));
return Square(idx);
} else {
_BitScanForward(&idx, int32_t(b >> 32));
return Square(idx + 32);
}
}
inline Square msb(Bitboard b) {
assert(b);
unsigned long idx;
if (b >> 32) {
_BitScanReverse(&idx, int32_t(b >> 32));
return Square(idx + 32);
} else {
_BitScanReverse(&idx, int32_t(b));
return Square(idx);
}
}
#endif
#else // MSVC, WIN32
unsigned long idx;
if (b & 0xffffffff)
{
_BitScanForward(&idx, int32_t(b));
return Square(idx);
}
else
{
_BitScanForward(&idx, int32_t(b >> 32));
return Square(idx + 32);
}
#endif
#else // Compiler is neither GCC nor MSVC compatible
#error "Compiler not supported."
#error "Compiler not supported."
#endif
}
/// least_significant_square_bb() returns the bitboard of the least significant
/// square of a non-zero bitboard. It is equivalent to square_bb(lsb(bb)).
// Returns the most significant bit in a non-zero bitboard.
inline Square msb(Bitboard b) {
assert(b);
#if defined(__GNUC__) // GCC, Clang, ICX
return Square(63 ^ __builtin_clzll(b));
#elif defined(_MSC_VER)
#ifdef _WIN64 // MSVC, WIN64
unsigned long idx;
_BitScanReverse64(&idx, b);
return Square(idx);
#else // MSVC, WIN32
unsigned long idx;
if (b >> 32)
{
_BitScanReverse(&idx, int32_t(b >> 32));
return Square(idx + 32);
}
else
{
_BitScanReverse(&idx, int32_t(b));
return Square(idx);
}
#endif
#else // Compiler is neither GCC nor MSVC compatible
#error "Compiler not supported."
#endif
}
// Returns the bitboard of the least significant
// square of a non-zero bitboard. It is equivalent to square_bb(lsb(bb)).
inline Bitboard least_significant_square_bb(Bitboard b) {
assert(b);
return b & -b;
assert(b);
return b & -b;
}
/// pop_lsb() finds and clears the least significant bit in a non-zero bitboard
// Finds and clears the least significant bit in a non-zero bitboard.
inline Square pop_lsb(Bitboard& b) {
assert(b);
const Square s = lsb(b);
b &= b - 1;
return s;
assert(b);
const Square s = lsb(b);
b &= b - 1;
return s;
}
} // namespace Stockfish
/// frontmost_sq() returns the most advanced square for the given color,
/// requires a non-zero bitboard.
inline Square frontmost_sq(Color c, Bitboard b) {
assert(b);
return c == WHITE ? msb(b) : lsb(b);
}
} // namespace Stockfish
#endif // #ifndef BITBOARD_H_INCLUDED
#endif // #ifndef BITBOARD_H_INCLUDED
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@@ -1,747 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Stockfish is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include <cassert>
#include "bitboard.h"
#include "endgame.h"
#include "movegen.h"
namespace Stockfish {
namespace {
// Used to drive the king towards the edge of the board
// in KX vs K and KQ vs KR endgames.
// Values range from 27 (center squares) to 90 (in the corners)
inline int push_to_edge(Square s) {
int rd = edge_distance(rank_of(s)), fd = edge_distance(file_of(s));
return 90 - (7 * fd * fd / 2 + 7 * rd * rd / 2);
}
// Used to drive the king towards A1H8 corners in KBN vs K endgames.
// Values range from 0 on A8H1 diagonal to 7 in A1H8 corners
inline int push_to_corner(Square s) {
return abs(7 - rank_of(s) - file_of(s));
}
// Drive a piece close to or away from another piece
inline int push_close(Square s1, Square s2) { return 140 - 20 * distance(s1, s2); }
inline int push_away(Square s1, Square s2) { return 120 - push_close(s1, s2); }
#ifndef NDEBUG
bool verify_material(const Position& pos, Color c, Value npm, int pawnsCnt) {
return pos.non_pawn_material(c) == npm && pos.count<PAWN>(c) == pawnsCnt;
}
#endif
// Map the square as if strongSide is white and strongSide's only pawn
// is on the left half of the board.
Square normalize(const Position& pos, Color strongSide, Square sq) {
assert(pos.count<PAWN>(strongSide) == 1);
if (file_of(pos.square<PAWN>(strongSide)) >= FILE_E)
sq = flip_file(sq);
return strongSide == WHITE ? sq : flip_rank(sq);
}
} // namespace
namespace Endgames {
std::pair<Map<Value>, Map<ScaleFactor>> maps;
void init() {
add<KPK>("KPK");
add<KNNK>("KNNK");
add<KBNK>("KBNK");
add<KRKP>("KRKP");
add<KRKB>("KRKB");
add<KRKN>("KRKN");
add<KQKP>("KQKP");
add<KQKR>("KQKR");
add<KNNKP>("KNNKP");
add<KRPKR>("KRPKR");
add<KRPKB>("KRPKB");
add<KBPKB>("KBPKB");
add<KBPKN>("KBPKN");
add<KBPPKB>("KBPPKB");
add<KRPPKRP>("KRPPKRP");
}
}
/// Mate with KX vs K. This function is used to evaluate positions with
/// king and plenty of material vs a lone king. It simply gives the
/// attacking side a bonus for driving the defending king towards the edge
/// of the board, and for keeping the distance between the two kings small.
template<>
Value Endgame<KXK>::operator()(const Position& pos) const {
assert(verify_material(pos, weakSide, VALUE_ZERO, 0));
assert(!pos.checkers()); // Eval is never called when in check
// Stalemate detection with lone king
if (pos.side_to_move() == weakSide && !MoveList<LEGAL>(pos).size())
return VALUE_DRAW;
Square strongKing = pos.square<KING>(strongSide);
Square weakKing = pos.square<KING>(weakSide);
Value result = pos.non_pawn_material(strongSide)
+ pos.count<PAWN>(strongSide) * PawnValueEg
+ push_to_edge(weakKing)
+ push_close(strongKing, weakKing);
if ( pos.count<QUEEN>(strongSide)
|| pos.count<ROOK>(strongSide)
||(pos.count<BISHOP>(strongSide) && pos.count<KNIGHT>(strongSide))
|| ( (pos.pieces(strongSide, BISHOP) & ~DarkSquares)
&& (pos.pieces(strongSide, BISHOP) & DarkSquares)))
result = std::min(result + VALUE_KNOWN_WIN, VALUE_TB_WIN_IN_MAX_PLY - 1);
return strongSide == pos.side_to_move() ? result : -result;
}
/// Mate with KBN vs K. This is similar to KX vs K, but we have to drive the
/// defending king towards a corner square that our bishop attacks.
template<>
Value Endgame<KBNK>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, KnightValueMg + BishopValueMg, 0));
assert(verify_material(pos, weakSide, VALUE_ZERO, 0));
Square strongKing = pos.square<KING>(strongSide);
Square strongBishop = pos.square<BISHOP>(strongSide);
Square weakKing = pos.square<KING>(weakSide);
// If our bishop does not attack A1/H8, we flip the enemy king square
// to drive to opposite corners (A8/H1).
Value result = (VALUE_KNOWN_WIN + 3520)
+ push_close(strongKing, weakKing)
+ 420 * push_to_corner(opposite_colors(strongBishop, SQ_A1) ? flip_file(weakKing) : weakKing);
assert(abs(result) < VALUE_TB_WIN_IN_MAX_PLY);
return strongSide == pos.side_to_move() ? result : -result;
}
/// KP vs K. This endgame is evaluated with the help of a bitbase
template<>
Value Endgame<KPK>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, VALUE_ZERO, 1));
assert(verify_material(pos, weakSide, VALUE_ZERO, 0));
// Assume strongSide is white and the pawn is on files A-D
Square strongKing = normalize(pos, strongSide, pos.square<KING>(strongSide));
Square strongPawn = normalize(pos, strongSide, pos.square<PAWN>(strongSide));
Square weakKing = normalize(pos, strongSide, pos.square<KING>(weakSide));
Color us = strongSide == pos.side_to_move() ? WHITE : BLACK;
if (!Bitbases::probe(strongKing, strongPawn, weakKing, us))
return VALUE_DRAW;
Value result = VALUE_KNOWN_WIN + PawnValueEg + Value(rank_of(strongPawn));
return strongSide == pos.side_to_move() ? result : -result;
}
/// KR vs KP. This is a somewhat tricky endgame to evaluate precisely without
/// a bitbase. The function below returns drawish scores when the pawn is
/// far advanced with support of the king, while the attacking king is far
/// away.
template<>
Value Endgame<KRKP>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, RookValueMg, 0));
assert(verify_material(pos, weakSide, VALUE_ZERO, 1));
Square strongKing = pos.square<KING>(strongSide);
Square weakKing = pos.square<KING>(weakSide);
Square strongRook = pos.square<ROOK>(strongSide);
Square weakPawn = pos.square<PAWN>(weakSide);
Square queeningSquare = make_square(file_of(weakPawn), relative_rank(weakSide, RANK_8));
Value result;
// If the stronger side's king is in front of the pawn, it's a win
if (forward_file_bb(strongSide, strongKing) & weakPawn)
result = RookValueEg - distance(strongKing, weakPawn);
// If the weaker side's king is too far from the pawn and the rook,
// it's a win.
else if ( distance(weakKing, weakPawn) >= 3 + (pos.side_to_move() == weakSide)
&& distance(weakKing, strongRook) >= 3)
result = RookValueEg - distance(strongKing, weakPawn);
// If the pawn is far advanced and supported by the defending king,
// the position is drawish
else if ( relative_rank(strongSide, weakKing) <= RANK_3
&& distance(weakKing, weakPawn) == 1
&& relative_rank(strongSide, strongKing) >= RANK_4
&& distance(strongKing, weakPawn) > 2 + (pos.side_to_move() == strongSide))
result = Value(80) - 8 * distance(strongKing, weakPawn);
else
result = Value(200) - 8 * ( distance(strongKing, weakPawn + pawn_push(weakSide))
- distance(weakKing, weakPawn + pawn_push(weakSide))
- distance(weakPawn, queeningSquare));
return strongSide == pos.side_to_move() ? result : -result;
}
/// KR vs KB. This is very simple, and always returns drawish scores. The
/// score is slightly bigger when the defending king is close to the edge.
template<>
Value Endgame<KRKB>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, RookValueMg, 0));
assert(verify_material(pos, weakSide, BishopValueMg, 0));
Value result = Value(push_to_edge(pos.square<KING>(weakSide)));
return strongSide == pos.side_to_move() ? result : -result;
}
/// KR vs KN. The attacking side has slightly better winning chances than
/// in KR vs KB, particularly if the king and the knight are far apart.
template<>
Value Endgame<KRKN>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, RookValueMg, 0));
assert(verify_material(pos, weakSide, KnightValueMg, 0));
Square weakKing = pos.square<KING>(weakSide);
Square weakKnight = pos.square<KNIGHT>(weakSide);
Value result = Value(push_to_edge(weakKing) + push_away(weakKing, weakKnight));
return strongSide == pos.side_to_move() ? result : -result;
}
/// KQ vs KP. In general, this is a win for the stronger side, but there are a
/// few important exceptions. A pawn on 7th rank and on the A,C,F or H files
/// with a king positioned next to it can be a draw, so in that case, we only
/// use the distance between the kings.
template<>
Value Endgame<KQKP>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, QueenValueMg, 0));
assert(verify_material(pos, weakSide, VALUE_ZERO, 1));
Square strongKing = pos.square<KING>(strongSide);
Square weakKing = pos.square<KING>(weakSide);
Square weakPawn = pos.square<PAWN>(weakSide);
Value result = Value(push_close(strongKing, weakKing));
if ( relative_rank(weakSide, weakPawn) != RANK_7
|| distance(weakKing, weakPawn) != 1
|| ((FileBBB | FileDBB | FileEBB | FileGBB) & weakPawn))
result += QueenValueEg - PawnValueEg;
return strongSide == pos.side_to_move() ? result : -result;
}
/// KQ vs KR. This is almost identical to KX vs K: we give the attacking
/// king a bonus for having the kings close together, and for forcing the
/// defending king towards the edge. If we also take care to avoid null move for
/// the defending side in the search, this is usually sufficient to win KQ vs KR.
template<>
Value Endgame<KQKR>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, QueenValueMg, 0));
assert(verify_material(pos, weakSide, RookValueMg, 0));
Square strongKing = pos.square<KING>(strongSide);
Square weakKing = pos.square<KING>(weakSide);
Value result = QueenValueEg
- RookValueEg
+ push_to_edge(weakKing)
+ push_close(strongKing, weakKing);
return strongSide == pos.side_to_move() ? result : -result;
}
/// KNN vs KP. Very drawish, but there are some mate opportunities if we can
/// press the weakSide King to a corner before the pawn advances too much.
template<>
Value Endgame<KNNKP>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, 2 * KnightValueMg, 0));
assert(verify_material(pos, weakSide, VALUE_ZERO, 1));
Square weakKing = pos.square<KING>(weakSide);
Square weakPawn = pos.square<PAWN>(weakSide);
Value result = PawnValueEg
+ 2 * push_to_edge(weakKing)
- 10 * relative_rank(weakSide, weakPawn);
return strongSide == pos.side_to_move() ? result : -result;
}
/// Some cases of trivial draws
template<> Value Endgame<KNNK>::operator()(const Position&) const { return VALUE_DRAW; }
/// KB and one or more pawns vs K. It checks for draws with rook pawns and
/// a bishop of the wrong color. If such a draw is detected, SCALE_FACTOR_DRAW
/// is returned. If not, the return value is SCALE_FACTOR_NONE, i.e. no scaling
/// will be used.
template<>
ScaleFactor Endgame<KBPsK>::operator()(const Position& pos) const {
assert(pos.non_pawn_material(strongSide) == BishopValueMg);
assert(pos.count<PAWN>(strongSide) >= 1);
// No assertions about the material of weakSide, because we want draws to
// be detected even when the weaker side has some pawns.
Bitboard strongPawns = pos.pieces(strongSide, PAWN);
Bitboard allPawns = pos.pieces(PAWN);
Square strongBishop = pos.square<BISHOP>(strongSide);
Square weakKing = pos.square<KING>(weakSide);
Square strongKing = pos.square<KING>(strongSide);
// All strongSide pawns are on a single rook file?
if (!(strongPawns & ~FileABB) || !(strongPawns & ~FileHBB))
{
Square queeningSquare = relative_square(strongSide, make_square(file_of(lsb(strongPawns)), RANK_8));
if ( opposite_colors(queeningSquare, strongBishop)
&& distance(queeningSquare, weakKing) <= 1)
return SCALE_FACTOR_DRAW;
}
// If all the pawns are on the same B or G file, then it's potentially a draw
if ((!(allPawns & ~FileBBB) || !(allPawns & ~FileGBB))
&& pos.non_pawn_material(weakSide) == 0
&& pos.count<PAWN>(weakSide) >= 1)
{
// Get the least advanced weakSide pawn
Square weakPawn = frontmost_sq(strongSide, pos.pieces(weakSide, PAWN));
// There's potential for a draw if our pawn is blocked on the 7th rank,
// the bishop cannot attack it or they only have one pawn left.
if ( relative_rank(strongSide, weakPawn) == RANK_7
&& (strongPawns & (weakPawn + pawn_push(weakSide)))
&& (opposite_colors(strongBishop, weakPawn) || !more_than_one(strongPawns)))
{
int strongKingDist = distance(weakPawn, strongKing);
int weakKingDist = distance(weakPawn, weakKing);
// It's a draw if the weak king is on its back two ranks, within 2
// squares of the blocking pawn and the strong king is not
// closer. (I think this rule only fails in practically
// unreachable positions such as 5k1K/6p1/6P1/8/8/3B4/8/8 w
// and positions where qsearch will immediately correct the
// problem such as 8/4k1p1/6P1/1K6/3B4/8/8/8 w).
if ( relative_rank(strongSide, weakKing) >= RANK_7
&& weakKingDist <= 2
&& weakKingDist <= strongKingDist)
return SCALE_FACTOR_DRAW;
}
}
return SCALE_FACTOR_NONE;
}
/// KQ vs KR and one or more pawns. It tests for fortress draws with a rook on
/// the third rank defended by a pawn.
template<>
ScaleFactor Endgame<KQKRPs>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, QueenValueMg, 0));
assert(pos.count<ROOK>(weakSide) == 1);
assert(pos.count<PAWN>(weakSide) >= 1);
Square strongKing = pos.square<KING>(strongSide);
Square weakKing = pos.square<KING>(weakSide);
Square weakRook = pos.square<ROOK>(weakSide);
if ( relative_rank(weakSide, weakKing) <= RANK_2
&& relative_rank(weakSide, strongKing) >= RANK_4
&& relative_rank(weakSide, weakRook) == RANK_3
&& ( pos.pieces(weakSide, PAWN)
& attacks_bb<KING>(weakKing)
& pawn_attacks_bb(strongSide, weakRook)))
return SCALE_FACTOR_DRAW;
return SCALE_FACTOR_NONE;
}
/// KRP vs KR. This function knows a handful of the most important classes of
/// drawn positions, but is far from perfect. It would probably be a good idea
/// to add more knowledge in the future.
///
/// It would also be nice to rewrite the actual code for this function,
/// which is mostly copied from Glaurung 1.x, and isn't very pretty.
template<>
ScaleFactor Endgame<KRPKR>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, RookValueMg, 1));
assert(verify_material(pos, weakSide, RookValueMg, 0));
// Assume strongSide is white and the pawn is on files A-D
Square strongKing = normalize(pos, strongSide, pos.square<KING>(strongSide));
Square strongRook = normalize(pos, strongSide, pos.square<ROOK>(strongSide));
Square strongPawn = normalize(pos, strongSide, pos.square<PAWN>(strongSide));
Square weakKing = normalize(pos, strongSide, pos.square<KING>(weakSide));
Square weakRook = normalize(pos, strongSide, pos.square<ROOK>(weakSide));
File pawnFile = file_of(strongPawn);
Rank pawnRank = rank_of(strongPawn);
Square queeningSquare = make_square(pawnFile, RANK_8);
int tempo = (pos.side_to_move() == strongSide);
// If the pawn is not too far advanced and the defending king defends the
// queening square, use the third-rank defence.
if ( pawnRank <= RANK_5
&& distance(weakKing, queeningSquare) <= 1
&& strongKing <= SQ_H5
&& (rank_of(weakRook) == RANK_6 || (pawnRank <= RANK_3 && rank_of(strongRook) != RANK_6)))
return SCALE_FACTOR_DRAW;
// The defending side saves a draw by checking from behind in case the pawn
// has advanced to the 6th rank with the king behind.
if ( pawnRank == RANK_6
&& distance(weakKing, queeningSquare) <= 1
&& rank_of(strongKing) + tempo <= RANK_6
&& (rank_of(weakRook) == RANK_1 || (!tempo && distance<File>(weakRook, strongPawn) >= 3)))
return SCALE_FACTOR_DRAW;
if ( pawnRank >= RANK_6
&& weakKing == queeningSquare
&& rank_of(weakRook) == RANK_1
&& (!tempo || distance(strongKing, strongPawn) >= 2))
return SCALE_FACTOR_DRAW;
// White pawn on a7 and rook on a8 is a draw if black's king is on g7 or h7
// and the black rook is behind the pawn.
if ( strongPawn == SQ_A7
&& strongRook == SQ_A8
&& (weakKing == SQ_H7 || weakKing == SQ_G7)
&& file_of(weakRook) == FILE_A
&& (rank_of(weakRook) <= RANK_3 || file_of(strongKing) >= FILE_D || rank_of(strongKing) <= RANK_5))
return SCALE_FACTOR_DRAW;
// If the defending king blocks the pawn and the attacking king is too far
// away, it's a draw.
if ( pawnRank <= RANK_5
&& weakKing == strongPawn + NORTH
&& distance(strongKing, strongPawn) - tempo >= 2
&& distance(strongKing, weakRook) - tempo >= 2)
return SCALE_FACTOR_DRAW;
// Pawn on the 7th rank supported by the rook from behind usually wins if the
// attacking king is closer to the queening square than the defending king,
// and the defending king cannot gain tempi by threatening the attacking rook.
if ( pawnRank == RANK_7
&& pawnFile != FILE_A
&& file_of(strongRook) == pawnFile
&& strongRook != queeningSquare
&& (distance(strongKing, queeningSquare) < distance(weakKing, queeningSquare) - 2 + tempo)
&& (distance(strongKing, queeningSquare) < distance(weakKing, strongRook) + tempo))
return ScaleFactor(SCALE_FACTOR_MAX - 2 * distance(strongKing, queeningSquare));
// Similar to the above, but with the pawn further back
if ( pawnFile != FILE_A
&& file_of(strongRook) == pawnFile
&& strongRook < strongPawn
&& (distance(strongKing, queeningSquare) < distance(weakKing, queeningSquare) - 2 + tempo)
&& (distance(strongKing, strongPawn + NORTH) < distance(weakKing, strongPawn + NORTH) - 2 + tempo)
&& ( distance(weakKing, strongRook) + tempo >= 3
|| ( distance(strongKing, queeningSquare) < distance(weakKing, strongRook) + tempo
&& (distance(strongKing, strongPawn + NORTH) < distance(weakKing, strongPawn) + tempo))))
return ScaleFactor( SCALE_FACTOR_MAX
- 8 * distance(strongPawn, queeningSquare)
- 2 * distance(strongKing, queeningSquare));
// If the pawn is not far advanced and the defending king is somewhere in
// the pawn's path, it's probably a draw.
if (pawnRank <= RANK_4 && weakKing > strongPawn)
{
if (file_of(weakKing) == file_of(strongPawn))
return ScaleFactor(10);
if ( distance<File>(weakKing, strongPawn) == 1
&& distance(strongKing, weakKing) > 2)
return ScaleFactor(24 - 2 * distance(strongKing, weakKing));
}
return SCALE_FACTOR_NONE;
}
template<>
ScaleFactor Endgame<KRPKB>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, RookValueMg, 1));
assert(verify_material(pos, weakSide, BishopValueMg, 0));
// Test for a rook pawn
if (pos.pieces(PAWN) & (FileABB | FileHBB))
{
Square weakKing = pos.square<KING>(weakSide);
Square weakBishop = pos.square<BISHOP>(weakSide);
Square strongKing = pos.square<KING>(strongSide);
Square strongPawn = pos.square<PAWN>(strongSide);
Rank pawnRank = relative_rank(strongSide, strongPawn);
Direction push = pawn_push(strongSide);
// If the pawn is on the 5th rank and the pawn (currently) is on
// the same color square as the bishop then there is a chance of
// a fortress. Depending on the king position give a moderate
// reduction or a stronger one if the defending king is near the
// corner but not trapped there.
if (pawnRank == RANK_5 && !opposite_colors(weakBishop, strongPawn))
{
int d = distance(strongPawn + 3 * push, weakKing);
if (d <= 2 && !(d == 0 && weakKing == strongKing + 2 * push))
return ScaleFactor(24);
else
return ScaleFactor(48);
}
// When the pawn has moved to the 6th rank we can be fairly sure
// it's drawn if the bishop attacks the square in front of the
// pawn from a reasonable distance and the defending king is near
// the corner
if ( pawnRank == RANK_6
&& distance(strongPawn + 2 * push, weakKing) <= 1
&& (attacks_bb<BISHOP>(weakBishop) & (strongPawn + push))
&& distance<File>(weakBishop, strongPawn) >= 2)
return ScaleFactor(8);
}
return SCALE_FACTOR_NONE;
}
/// KRPP vs KRP. There is just a single rule: if the stronger side has no passed
/// pawns and the defending king is actively placed, the position is drawish.
template<>
ScaleFactor Endgame<KRPPKRP>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, RookValueMg, 2));
assert(verify_material(pos, weakSide, RookValueMg, 1));
Square strongPawn1 = lsb(pos.pieces(strongSide, PAWN));
Square strongPawn2 = msb(pos.pieces(strongSide, PAWN));
Square weakKing = pos.square<KING>(weakSide);
// Does the stronger side have a passed pawn?
if (pos.pawn_passed(strongSide, strongPawn1) || pos.pawn_passed(strongSide, strongPawn2))
return SCALE_FACTOR_NONE;
Rank pawnRank = std::max(relative_rank(strongSide, strongPawn1), relative_rank(strongSide, strongPawn2));
if ( distance<File>(weakKing, strongPawn1) <= 1
&& distance<File>(weakKing, strongPawn2) <= 1
&& relative_rank(strongSide, weakKing) > pawnRank)
{
assert(pawnRank > RANK_1 && pawnRank < RANK_7);
return ScaleFactor(7 * pawnRank);
}
return SCALE_FACTOR_NONE;
}
/// K and two or more pawns vs K. There is just a single rule here: if all pawns
/// are on the same rook file and are blocked by the defending king, it's a draw.
template<>
ScaleFactor Endgame<KPsK>::operator()(const Position& pos) const {
assert(pos.non_pawn_material(strongSide) == VALUE_ZERO);
assert(pos.count<PAWN>(strongSide) >= 2);
assert(verify_material(pos, weakSide, VALUE_ZERO, 0));
Square weakKing = pos.square<KING>(weakSide);
Bitboard strongPawns = pos.pieces(strongSide, PAWN);
// If all pawns are ahead of the king on a single rook file, it's a draw.
if ( !(strongPawns & ~(FileABB | FileHBB))
&& !(strongPawns & ~passed_pawn_span(weakSide, weakKing)))
return SCALE_FACTOR_DRAW;
return SCALE_FACTOR_NONE;
}
/// KBP vs KB. There are two rules: if the defending king is somewhere along the
/// path of the pawn, and the square of the king is not of the same color as the
/// stronger side's bishop, it's a draw. If the two bishops have opposite color,
/// it's almost always a draw.
template<>
ScaleFactor Endgame<KBPKB>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, BishopValueMg, 1));
assert(verify_material(pos, weakSide, BishopValueMg, 0));
Square strongPawn = pos.square<PAWN>(strongSide);
Square strongBishop = pos.square<BISHOP>(strongSide);
Square weakBishop = pos.square<BISHOP>(weakSide);
Square weakKing = pos.square<KING>(weakSide);
// Case 1: Defending king blocks the pawn, and cannot be driven away
if ( (forward_file_bb(strongSide, strongPawn) & weakKing)
&& ( opposite_colors(weakKing, strongBishop)
|| relative_rank(strongSide, weakKing) <= RANK_6))
return SCALE_FACTOR_DRAW;
// Case 2: Opposite colored bishops
if (opposite_colors(strongBishop, weakBishop))
return SCALE_FACTOR_DRAW;
return SCALE_FACTOR_NONE;
}
/// KBPP vs KB. It detects a few basic draws with opposite-colored bishops
template<>
ScaleFactor Endgame<KBPPKB>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, BishopValueMg, 2));
assert(verify_material(pos, weakSide, BishopValueMg, 0));
Square strongBishop = pos.square<BISHOP>(strongSide);
Square weakBishop = pos.square<BISHOP>(weakSide);
if (!opposite_colors(strongBishop, weakBishop))
return SCALE_FACTOR_NONE;
Square weakKing = pos.square<KING>(weakSide);
Square strongPawn1 = lsb(pos.pieces(strongSide, PAWN));
Square strongPawn2 = msb(pos.pieces(strongSide, PAWN));
Square blockSq1, blockSq2;
if (relative_rank(strongSide, strongPawn1) > relative_rank(strongSide, strongPawn2))
{
blockSq1 = strongPawn1 + pawn_push(strongSide);
blockSq2 = make_square(file_of(strongPawn2), rank_of(strongPawn1));
}
else
{
blockSq1 = strongPawn2 + pawn_push(strongSide);
blockSq2 = make_square(file_of(strongPawn1), rank_of(strongPawn2));
}
switch (distance<File>(strongPawn1, strongPawn2))
{
case 0:
// Both pawns are on the same file. It's an easy draw if the defender firmly
// controls some square in the frontmost pawn's path.
if ( file_of(weakKing) == file_of(blockSq1)
&& relative_rank(strongSide, weakKing) >= relative_rank(strongSide, blockSq1)
&& opposite_colors(weakKing, strongBishop))
return SCALE_FACTOR_DRAW;
else
return SCALE_FACTOR_NONE;
case 1:
// Pawns on adjacent files. It's a draw if the defender firmly controls the
// square in front of the frontmost pawn's path, and the square diagonally
// behind this square on the file of the other pawn.
if ( weakKing == blockSq1
&& opposite_colors(weakKing, strongBishop)
&& ( weakBishop == blockSq2
|| (attacks_bb<BISHOP>(blockSq2, pos.pieces()) & pos.pieces(weakSide, BISHOP))
|| distance<Rank>(strongPawn1, strongPawn2) >= 2))
return SCALE_FACTOR_DRAW;
else if ( weakKing == blockSq2
&& opposite_colors(weakKing, strongBishop)
&& ( weakBishop == blockSq1
|| (attacks_bb<BISHOP>(blockSq1, pos.pieces()) & pos.pieces(weakSide, BISHOP))))
return SCALE_FACTOR_DRAW;
else
return SCALE_FACTOR_NONE;
default:
// The pawns are not on the same file or adjacent files. No scaling.
return SCALE_FACTOR_NONE;
}
}
/// KBP vs KN. There is a single rule: if the defending king is somewhere along
/// the path of the pawn, and the square of the king is not of the same color as
/// the stronger side's bishop, it's a draw.
template<>
ScaleFactor Endgame<KBPKN>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, BishopValueMg, 1));
assert(verify_material(pos, weakSide, KnightValueMg, 0));
Square strongPawn = pos.square<PAWN>(strongSide);
Square strongBishop = pos.square<BISHOP>(strongSide);
Square weakKing = pos.square<KING>(weakSide);
if ( file_of(weakKing) == file_of(strongPawn)
&& relative_rank(strongSide, strongPawn) < relative_rank(strongSide, weakKing)
&& ( opposite_colors(weakKing, strongBishop)
|| relative_rank(strongSide, weakKing) <= RANK_6))
return SCALE_FACTOR_DRAW;
return SCALE_FACTOR_NONE;
}
/// KP vs KP. This is done by removing the weakest side's pawn and probing the
/// KP vs K bitbase: if the weakest side has a draw without the pawn, it probably
/// has at least a draw with the pawn as well. The exception is when the stronger
/// side's pawn is far advanced and not on a rook file; in this case it is often
/// possible to win (e.g. 8/4k3/3p4/3P4/6K1/8/8/8 w - - 0 1).
template<>
ScaleFactor Endgame<KPKP>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, VALUE_ZERO, 1));
assert(verify_material(pos, weakSide, VALUE_ZERO, 1));
// Assume strongSide is white and the pawn is on files A-D
Square strongKing = normalize(pos, strongSide, pos.square<KING>(strongSide));
Square weakKing = normalize(pos, strongSide, pos.square<KING>(weakSide));
Square strongPawn = normalize(pos, strongSide, pos.square<PAWN>(strongSide));
Color us = strongSide == pos.side_to_move() ? WHITE : BLACK;
// If the pawn has advanced to the fifth rank or further, and is not a
// rook pawn, it's too dangerous to assume that it's at least a draw.
if (rank_of(strongPawn) >= RANK_5 && file_of(strongPawn) != FILE_A)
return SCALE_FACTOR_NONE;
// Probe the KPK bitbase with the weakest side's pawn removed. If it's a draw,
// it's probably at least a draw even with the pawn.
return Bitbases::probe(strongKing, strongPawn, weakKing, us) ? SCALE_FACTOR_NONE : SCALE_FACTOR_DRAW;
}
} // namespace Stockfish
-126
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@@ -1,126 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Stockfish is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef ENDGAME_H_INCLUDED
#define ENDGAME_H_INCLUDED
#include <memory>
#include <string>
#include <type_traits>
#include <unordered_map>
#include <utility>
#include "position.h"
#include "types.h"
namespace Stockfish {
/// EndgameCode lists all supported endgame functions by corresponding codes
enum EndgameCode {
EVALUATION_FUNCTIONS,
KNNK, // KNN vs K
KNNKP, // KNN vs KP
KXK, // Generic "mate lone king" eval
KBNK, // KBN vs K
KPK, // KP vs K
KRKP, // KR vs KP
KRKB, // KR vs KB
KRKN, // KR vs KN
KQKP, // KQ vs KP
KQKR, // KQ vs KR
SCALING_FUNCTIONS,
KBPsK, // KB and pawns vs K
KQKRPs, // KQ vs KR and pawns
KRPKR, // KRP vs KR
KRPKB, // KRP vs KB
KRPPKRP, // KRPP vs KRP
KPsK, // K and pawns vs K
KBPKB, // KBP vs KB
KBPPKB, // KBPP vs KB
KBPKN, // KBP vs KN
KPKP // KP vs KP
};
/// Endgame functions can be of two types depending on whether they return a
/// Value or a ScaleFactor.
template<EndgameCode E> using
eg_type = typename std::conditional<(E < SCALING_FUNCTIONS), Value, ScaleFactor>::type;
/// Base and derived functors for endgame evaluation and scaling functions
template<typename T>
struct EndgameBase {
explicit EndgameBase(Color c) : strongSide(c), weakSide(~c) {}
virtual ~EndgameBase() = default;
virtual T operator()(const Position&) const = 0;
const Color strongSide, weakSide;
};
template<EndgameCode E, typename T = eg_type<E>>
struct Endgame : public EndgameBase<T> {
explicit Endgame(Color c) : EndgameBase<T>(c) {}
T operator()(const Position&) const override;
};
/// The Endgames namespace handles the pointers to endgame evaluation and scaling
/// base objects in two std::map. We use polymorphism to invoke the actual
/// endgame function by calling its virtual operator().
namespace Endgames {
template<typename T> using Ptr = std::unique_ptr<EndgameBase<T>>;
template<typename T> using Map = std::unordered_map<Key, Ptr<T>>;
extern std::pair<Map<Value>, Map<ScaleFactor>> maps;
void init();
template<typename T>
Map<T>& map() {
return std::get<std::is_same<T, ScaleFactor>::value>(maps);
}
template<EndgameCode E, typename T = eg_type<E>>
void add(const std::string& code) {
StateInfo st;
map<T>()[Position().set(code, WHITE, &st).material_key()] = Ptr<T>(new Endgame<E>(WHITE));
map<T>()[Position().set(code, BLACK, &st).material_key()] = Ptr<T>(new Endgame<E>(BLACK));
}
template<typename T>
const EndgameBase<T>* probe(Key key) {
auto it = map<T>().find(key);
return it != map<T>().end() ? it->second.get() : nullptr;
}
}
} // namespace Stockfish
#endif // #ifndef ENDGAME_H_INCLUDED
+159 -1068
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+33 -17
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -20,36 +20,52 @@
#define EVALUATE_H_INCLUDED
#include <string>
#include <optional>
#include <unordered_map>
#include "types.h"
namespace Stockfish {
class Position;
class OptionsMap;
namespace Eval {
std::string trace(Position& pos);
Value evaluate(const Position& pos);
std::string trace(Position& pos);
extern bool useNNUE;
extern std::string currentEvalFileName;
int simple_eval(const Position& pos, Color c);
Value evaluate(const Position& pos, int optimism);
// The default net name MUST follow the format nn-[SHA256 first 12 digits].nnue
// for the build process (profile-build and fishtest) to work. Do not change the
// name of the macro, as it is used in the Makefile.
#define EvalFileDefaultName "nn-5af11540bbfe.nnue"
// The default net name MUST follow the format nn-[SHA256 first 12 digits].nnue
// for the build process (profile-build and fishtest) to work. Do not change the
// name of the macro, as it is used in the Makefile.
#define EvalFileDefaultNameBig "nn-b1a57edbea57.nnue"
#define EvalFileDefaultNameSmall "nn-baff1ede1f90.nnue"
namespace NNUE {
struct EvalFile {
// UCI option name
std::string optionName;
// Default net name, will use one of the macros above
std::string defaultName;
// Selected net name, either via uci option or default
std::string current;
// Net description extracted from the net file
std::string netDescription;
};
void init();
void verify();
namespace NNUE {
} // namespace NNUE
enum NetSize : int;
} // namespace Eval
using EvalFiles = std::unordered_map<Eval::NNUE::NetSize, EvalFile>;
} // namespace Stockfish
EvalFiles load_networks(const std::string&, const OptionsMap&, EvalFiles);
void verify(const OptionsMap&, const EvalFiles&);
#endif // #ifndef EVALUATE_H_INCLUDED
} // namespace NNUE
} // namespace Eval
} // namespace Stockfish
#endif // #ifndef EVALUATE_H_INCLUDED
+5 -5
View File
@@ -3,8 +3,8 @@
* @author Dale Weiler
* @brief Utility for including binary files
*
* Facilities for including binary files into the current translation unit and
* making use from them externally in other translation units.
* Facilities for including binary files into the current translation unit
* and making use of them externally in other translation units.
*/
#ifndef INCBIN_HDR
#define INCBIN_HDR
@@ -139,7 +139,7 @@
#endif
#if defined(__APPLE__)
/* The directives are different for Apple branded compilers */
/* The directives are different for Apple-branded compilers */
# define INCBIN_SECTION INCBIN_OUTPUT_SECTION "\n"
# define INCBIN_GLOBAL(NAME) ".globl " INCBIN_MANGLE INCBIN_STRINGIZE(INCBIN_PREFIX) #NAME "\n"
# define INCBIN_INT ".long "
@@ -261,8 +261,8 @@
INCBIN_STRINGIZE( \
INCBIN_STYLE_IDENT(TYPE)) \
/* Generate the global labels by indirectly invoking the macro with our style
* type and concatenating the name against them. */
/* Generate the global labels by indirectly invoking the macro
* with our style type and concatenate the name against them. */
#define INCBIN_GLOBAL_LABELS(NAME, TYPE) \
INCBIN_INVOKE( \
INCBIN_GLOBAL, \
+17 -22
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -17,37 +17,32 @@
*/
#include <iostream>
#include <unordered_map>
#include "bitboard.h"
#include "endgame.h"
#include "evaluate.h"
#include "misc.h"
#include "position.h"
#include "psqt.h"
#include "search.h"
#include "syzygy/tbprobe.h"
#include "thread.h"
#include "tt.h"
#include "tune.h"
#include "types.h"
#include "uci.h"
using namespace Stockfish;
int main(int argc, char* argv[]) {
std::cout << engine_info() << std::endl;
std::cout << engine_info() << std::endl;
CommandLine::init(argc, argv);
UCI::init(Options);
Tune::init();
PSQT::init();
Bitboards::init();
Position::init();
Bitbases::init();
Endgames::init();
Threads.set(size_t(Options["Threads"]));
Search::clear(); // After threads are up
Eval::NNUE::init();
Bitboards::init();
Position::init();
UCI::loop(argc, argv);
UCI uci(argc, argv);
Threads.set(0);
return 0;
Tune::init(uci.options);
uci.evalFiles = Eval::NNUE::load_networks(uci.workingDirectory(), uci.options, uci.evalFiles);
uci.loop();
return 0;
}
-229
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@@ -1,229 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Stockfish is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include <cassert>
#include <cstring> // For std::memset
#include "material.h"
#include "thread.h"
using namespace std;
namespace Stockfish {
namespace {
#define S(mg, eg) make_score(mg, eg)
// Polynomial material imbalance parameters
// One Score parameter for each pair (our piece, another of our pieces)
constexpr Score QuadraticOurs[][PIECE_TYPE_NB] = {
// OUR PIECE 2
// bishop pair pawn knight bishop rook queen
{S(1419, 1455) }, // Bishop pair
{S( 101, 28), S( 37, 39) }, // Pawn
{S( 57, 64), S(249, 187), S(-49, -62) }, // Knight OUR PIECE 1
{S( 0, 0), S(118, 137), S( 10, 27), S( 0, 0) }, // Bishop
{S( -63, -68), S( -5, 3), S(100, 81), S(132, 118), S(-246, -244) }, // Rook
{S(-210, -211), S( 37, 14), S(147, 141), S(161, 105), S(-158, -174), S(-9,-31) } // Queen
};
// One Score parameter for each pair (our piece, their piece)
constexpr Score QuadraticTheirs[][PIECE_TYPE_NB] = {
// THEIR PIECE
// bishop pair pawn knight bishop rook queen
{ }, // Bishop pair
{S( 33, 30) }, // Pawn
{S( 46, 18), S(106, 84) }, // Knight OUR PIECE
{S( 75, 35), S( 59, 44), S( 60, 15) }, // Bishop
{S( 26, 35), S( 6, 22), S( 38, 39), S(-12, -2) }, // Rook
{S( 97, 93), S(100, 163), S(-58, -91), S(112, 192), S(276, 225) } // Queen
};
#undef S
// Endgame evaluation and scaling functions are accessed directly and not through
// the function maps because they correspond to more than one material hash key.
Endgame<KXK> EvaluateKXK[] = { Endgame<KXK>(WHITE), Endgame<KXK>(BLACK) };
Endgame<KBPsK> ScaleKBPsK[] = { Endgame<KBPsK>(WHITE), Endgame<KBPsK>(BLACK) };
Endgame<KQKRPs> ScaleKQKRPs[] = { Endgame<KQKRPs>(WHITE), Endgame<KQKRPs>(BLACK) };
Endgame<KPsK> ScaleKPsK[] = { Endgame<KPsK>(WHITE), Endgame<KPsK>(BLACK) };
Endgame<KPKP> ScaleKPKP[] = { Endgame<KPKP>(WHITE), Endgame<KPKP>(BLACK) };
// Helper used to detect a given material distribution
bool is_KXK(const Position& pos, Color us) {
return !more_than_one(pos.pieces(~us))
&& pos.non_pawn_material(us) >= RookValueMg;
}
bool is_KBPsK(const Position& pos, Color us) {
return pos.non_pawn_material(us) == BishopValueMg
&& pos.count<PAWN>(us) >= 1;
}
bool is_KQKRPs(const Position& pos, Color us) {
return !pos.count<PAWN>(us)
&& pos.non_pawn_material(us) == QueenValueMg
&& pos.count<ROOK>(~us) == 1
&& pos.count<PAWN>(~us) >= 1;
}
/// imbalance() calculates the imbalance by comparing the piece count of each
/// piece type for both colors.
template<Color Us>
Score imbalance(const int pieceCount[][PIECE_TYPE_NB]) {
constexpr Color Them = ~Us;
Score bonus = SCORE_ZERO;
// Second-degree polynomial material imbalance, by Tord Romstad
for (int pt1 = NO_PIECE_TYPE; pt1 <= QUEEN; ++pt1)
{
if (!pieceCount[Us][pt1])
continue;
int v = QuadraticOurs[pt1][pt1] * pieceCount[Us][pt1];
for (int pt2 = NO_PIECE_TYPE; pt2 < pt1; ++pt2)
v += QuadraticOurs[pt1][pt2] * pieceCount[Us][pt2]
+ QuadraticTheirs[pt1][pt2] * pieceCount[Them][pt2];
bonus += pieceCount[Us][pt1] * v;
}
return bonus;
}
} // namespace
namespace Material {
/// Material::probe() looks up the current position's material configuration in
/// the material hash table. It returns a pointer to the Entry if the position
/// is found. Otherwise a new Entry is computed and stored there, so we don't
/// have to recompute all when the same material configuration occurs again.
Entry* probe(const Position& pos) {
Key key = pos.material_key();
Entry* e = pos.this_thread()->materialTable[key];
if (e->key == key)
return e;
std::memset(e, 0, sizeof(Entry));
e->key = key;
e->factor[WHITE] = e->factor[BLACK] = (uint8_t)SCALE_FACTOR_NORMAL;
Value npm_w = pos.non_pawn_material(WHITE);
Value npm_b = pos.non_pawn_material(BLACK);
Value npm = std::clamp(npm_w + npm_b, EndgameLimit, MidgameLimit);
// Map total non-pawn material into [PHASE_ENDGAME, PHASE_MIDGAME]
e->gamePhase = Phase(((npm - EndgameLimit) * PHASE_MIDGAME) / (MidgameLimit - EndgameLimit));
// Let's look if we have a specialized evaluation function for this particular
// material configuration. Firstly we look for a fixed configuration one, then
// for a generic one if the previous search failed.
if ((e->evaluationFunction = Endgames::probe<Value>(key)) != nullptr)
return e;
for (Color c : { WHITE, BLACK })
if (is_KXK(pos, c))
{
e->evaluationFunction = &EvaluateKXK[c];
return e;
}
// OK, we didn't find any special evaluation function for the current material
// configuration. Is there a suitable specialized scaling function?
const auto* sf = Endgames::probe<ScaleFactor>(key);
if (sf)
{
e->scalingFunction[sf->strongSide] = sf; // Only strong color assigned
return e;
}
// We didn't find any specialized scaling function, so fall back on generic
// ones that refer to more than one material distribution. Note that in this
// case we don't return after setting the function.
for (Color c : { WHITE, BLACK })
{
if (is_KBPsK(pos, c))
e->scalingFunction[c] = &ScaleKBPsK[c];
else if (is_KQKRPs(pos, c))
e->scalingFunction[c] = &ScaleKQKRPs[c];
}
if (npm_w + npm_b == VALUE_ZERO && pos.pieces(PAWN)) // Only pawns on the board
{
if (!pos.count<PAWN>(BLACK))
{
assert(pos.count<PAWN>(WHITE) >= 2);
e->scalingFunction[WHITE] = &ScaleKPsK[WHITE];
}
else if (!pos.count<PAWN>(WHITE))
{
assert(pos.count<PAWN>(BLACK) >= 2);
e->scalingFunction[BLACK] = &ScaleKPsK[BLACK];
}
else if (pos.count<PAWN>(WHITE) == 1 && pos.count<PAWN>(BLACK) == 1)
{
// This is a special case because we set scaling functions
// for both colors instead of only one.
e->scalingFunction[WHITE] = &ScaleKPKP[WHITE];
e->scalingFunction[BLACK] = &ScaleKPKP[BLACK];
}
}
// Zero or just one pawn makes it difficult to win, even with a small material
// advantage. This catches some trivial draws like KK, KBK and KNK and gives a
// drawish scale factor for cases such as KRKBP and KmmKm (except for KBBKN).
if (!pos.count<PAWN>(WHITE) && npm_w - npm_b <= BishopValueMg)
e->factor[WHITE] = uint8_t(npm_w < RookValueMg ? SCALE_FACTOR_DRAW :
npm_b <= BishopValueMg ? 4 : 14);
if (!pos.count<PAWN>(BLACK) && npm_b - npm_w <= BishopValueMg)
e->factor[BLACK] = uint8_t(npm_b < RookValueMg ? SCALE_FACTOR_DRAW :
npm_w <= BishopValueMg ? 4 : 14);
// Evaluate the material imbalance. We use PIECE_TYPE_NONE as a place holder
// for the bishop pair "extended piece", which allows us to be more flexible
// in defining bishop pair bonuses.
const int pieceCount[COLOR_NB][PIECE_TYPE_NB] = {
{ pos.count<BISHOP>(WHITE) > 1, pos.count<PAWN>(WHITE), pos.count<KNIGHT>(WHITE),
pos.count<BISHOP>(WHITE) , pos.count<ROOK>(WHITE), pos.count<QUEEN >(WHITE) },
{ pos.count<BISHOP>(BLACK) > 1, pos.count<PAWN>(BLACK), pos.count<KNIGHT>(BLACK),
pos.count<BISHOP>(BLACK) , pos.count<ROOK>(BLACK), pos.count<QUEEN >(BLACK) } };
e->score = (imbalance<WHITE>(pieceCount) - imbalance<BLACK>(pieceCount)) / 16;
return e;
}
} // namespace Material
} // namespace Stockfish
-71
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@@ -1,71 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Stockfish is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef MATERIAL_H_INCLUDED
#define MATERIAL_H_INCLUDED
#include "endgame.h"
#include "misc.h"
#include "position.h"
#include "types.h"
namespace Stockfish::Material {
/// Material::Entry contains various information about a material configuration.
/// It contains a material imbalance evaluation, a function pointer to a special
/// endgame evaluation function (which in most cases is nullptr, meaning that the
/// standard evaluation function will be used), and scale factors.
///
/// The scale factors are used to scale the evaluation score up or down. For
/// instance, in KRB vs KR endgames, the score is scaled down by a factor of 4,
/// which will result in scores of absolute value less than one pawn.
struct Entry {
Score imbalance() const { return score; }
Phase game_phase() const { return (Phase)gamePhase; }
bool specialized_eval_exists() const { return evaluationFunction != nullptr; }
Value evaluate(const Position& pos) const { return (*evaluationFunction)(pos); }
// scale_factor() takes a position and a color as input and returns a scale factor
// for the given color. We have to provide the position in addition to the color
// because the scale factor may also be a function which should be applied to
// the position. For instance, in KBP vs K endgames, the scaling function looks
// for rook pawns and wrong-colored bishops.
ScaleFactor scale_factor(const Position& pos, Color c) const {
ScaleFactor sf = scalingFunction[c] ? (*scalingFunction[c])(pos)
: SCALE_FACTOR_NONE;
return sf != SCALE_FACTOR_NONE ? sf : ScaleFactor(factor[c]);
}
Key key;
const EndgameBase<Value>* evaluationFunction;
const EndgameBase<ScaleFactor>* scalingFunction[COLOR_NB]; // Could be one for each
// side (e.g. KPKP, KBPsK)
Score score;
int16_t gamePhase;
uint8_t factor[COLOR_NB];
};
using Table = HashTable<Entry, 8192>;
Entry* probe(const Position& pos);
} // namespace Stockfish::Material
#endif // #ifndef MATERIAL_H_INCLUDED
+430 -452
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+113 -81
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -19,14 +19,14 @@
#ifndef MISC_H_INCLUDED
#define MISC_H_INCLUDED
#include <algorithm>
#include <cassert>
#include <chrono>
#include <ostream>
#include <cstddef>
#include <cstdint>
#include <iosfwd>
#include <string>
#include <vector>
#include <cstdint>
#include "types.h"
#define stringify2(x) #x
#define stringify(x) stringify2(x)
@@ -35,12 +35,19 @@ namespace Stockfish {
std::string engine_info(bool to_uci = false);
std::string compiler_info();
// Preloads the given address in L1/L2 cache. This is a non-blocking
// function that doesn't stall the CPU waiting for data to be loaded from memory,
// which can be quite slow.
void prefetch(void* addr);
void start_logger(const std::string& fname);
void start_logger(const std::string& fname);
void* std_aligned_alloc(size_t alignment, size_t size);
void std_aligned_free(void* ptr);
void* aligned_large_pages_alloc(size_t size); // memory aligned by page size, min alignment: 4096 bytes
void aligned_large_pages_free(void* mem); // nop if mem == nullptr
void std_aligned_free(void* ptr);
// memory aligned by page size, min alignment: 4096 bytes
void* aligned_large_pages_alloc(size_t size);
// nop if mem == nullptr
void aligned_large_pages_free(void* mem);
void dbg_hit_on(bool cond, int slot = 0);
void dbg_mean_of(int64_t value, int slot = 0);
@@ -48,129 +55,154 @@ void dbg_stdev_of(int64_t value, int slot = 0);
void dbg_correl_of(int64_t value1, int64_t value2, int slot = 0);
void dbg_print();
using TimePoint = std::chrono::milliseconds::rep; // A value in milliseconds
using TimePoint = std::chrono::milliseconds::rep; // A value in milliseconds
static_assert(sizeof(TimePoint) == sizeof(int64_t), "TimePoint should be 64 bits");
inline TimePoint now() {
return std::chrono::duration_cast<std::chrono::milliseconds>
(std::chrono::steady_clock::now().time_since_epoch()).count();
return std::chrono::duration_cast<std::chrono::milliseconds>(
std::chrono::steady_clock::now().time_since_epoch())
.count();
}
template<class Entry, int Size>
struct HashTable {
Entry* operator[](Key key) { return &table[(uint32_t)key & (Size - 1)]; }
private:
std::vector<Entry> table = std::vector<Entry>(Size); // Allocate on the heap
enum SyncCout {
IO_LOCK,
IO_UNLOCK
};
enum SyncCout { IO_LOCK, IO_UNLOCK };
std::ostream& operator<<(std::ostream&, SyncCout);
#define sync_cout std::cout << IO_LOCK
#define sync_endl std::endl << IO_UNLOCK
// align_ptr_up() : get the first aligned element of an array.
// Get the first aligned element of an array.
// ptr must point to an array of size at least `sizeof(T) * N + alignment` bytes,
// where N is the number of elements in the array.
template <uintptr_t Alignment, typename T>
T* align_ptr_up(T* ptr)
{
static_assert(alignof(T) < Alignment);
template<uintptr_t Alignment, typename T>
T* align_ptr_up(T* ptr) {
static_assert(alignof(T) < Alignment);
const uintptr_t ptrint = reinterpret_cast<uintptr_t>(reinterpret_cast<char*>(ptr));
return reinterpret_cast<T*>(reinterpret_cast<char*>((ptrint + (Alignment - 1)) / Alignment * Alignment));
const uintptr_t ptrint = reinterpret_cast<uintptr_t>(reinterpret_cast<char*>(ptr));
return reinterpret_cast<T*>(
reinterpret_cast<char*>((ptrint + (Alignment - 1)) / Alignment * Alignment));
}
// IsLittleEndian : true if and only if the binary is compiled on a little endian machine
static inline const union { uint32_t i; char c[4]; } Le = { 0x01020304 };
// True if and only if the binary is compiled on a little-endian machine
static inline const union {
uint32_t i;
char c[4];
} Le = {0x01020304};
static inline const bool IsLittleEndian = (Le.c[0] == 4);
template <typename T, std::size_t MaxSize>
template<typename T, std::size_t MaxSize>
class ValueList {
public:
std::size_t size() const { return size_; }
void push_back(const T& value) { values_[size_++] = value; }
const T* begin() const { return values_; }
const T* end() const { return values_ + size_; }
public:
std::size_t size() const { return size_; }
void push_back(const T& value) { values_[size_++] = value; }
const T* begin() const { return values_; }
const T* end() const { return values_ + size_; }
const T& operator[](int index) const { return values_[index]; }
private:
T values_[MaxSize];
std::size_t size_ = 0;
private:
T values_[MaxSize];
std::size_t size_ = 0;
};
/// xorshift64star Pseudo-Random Number Generator
/// This class is based on original code written and dedicated
/// to the public domain by Sebastiano Vigna (2014).
/// It has the following characteristics:
///
/// - Outputs 64-bit numbers
/// - Passes Dieharder and SmallCrush test batteries
/// - Does not require warm-up, no zeroland to escape
/// - Internal state is a single 64-bit integer
/// - Period is 2^64 - 1
/// - Speed: 1.60 ns/call (Core i7 @3.40GHz)
///
/// For further analysis see
/// <http://vigna.di.unimi.it/ftp/papers/xorshift.pdf>
// xorshift64star Pseudo-Random Number Generator
// This class is based on original code written and dedicated
// to the public domain by Sebastiano Vigna (2014).
// It has the following characteristics:
//
// - Outputs 64-bit numbers
// - Passes Dieharder and SmallCrush test batteries
// - Does not require warm-up, no zeroland to escape
// - Internal state is a single 64-bit integer
// - Period is 2^64 - 1
// - Speed: 1.60 ns/call (Core i7 @3.40GHz)
//
// For further analysis see
// <http://vigna.di.unimi.it/ftp/papers/xorshift.pdf>
class PRNG {
uint64_t s;
uint64_t s;
uint64_t rand64() {
uint64_t rand64() {
s ^= s >> 12, s ^= s << 25, s ^= s >> 27;
return s * 2685821657736338717LL;
}
s ^= s >> 12, s ^= s << 25, s ^= s >> 27;
return s * 2685821657736338717LL;
}
public:
PRNG(uint64_t seed) : s(seed) { assert(seed); }
public:
PRNG(uint64_t seed) :
s(seed) {
assert(seed);
}
template<typename T> T rand() { return T(rand64()); }
template<typename T>
T rand() {
return T(rand64());
}
/// Special generator used to fast init magic numbers.
/// Output values only have 1/8th of their bits set on average.
template<typename T> T sparse_rand()
{ return T(rand64() & rand64() & rand64()); }
// Special generator used to fast init magic numbers.
// Output values only have 1/8th of their bits set on average.
template<typename T>
T sparse_rand() {
return T(rand64() & rand64() & rand64());
}
};
inline uint64_t mul_hi64(uint64_t a, uint64_t b) {
#if defined(__GNUC__) && defined(IS_64BIT)
__extension__ using uint128 = unsigned __int128;
return ((uint128)a * (uint128)b) >> 64;
return (uint128(a) * uint128(b)) >> 64;
#else
uint64_t aL = (uint32_t)a, aH = a >> 32;
uint64_t bL = (uint32_t)b, bH = b >> 32;
uint64_t aL = uint32_t(a), aH = a >> 32;
uint64_t bL = uint32_t(b), bH = b >> 32;
uint64_t c1 = (aL * bL) >> 32;
uint64_t c2 = aH * bL + c1;
uint64_t c3 = aL * bH + (uint32_t)c2;
uint64_t c3 = aL * bH + uint32_t(c2);
return aH * bH + (c2 >> 32) + (c3 >> 32);
#endif
}
/// Under Windows it is not possible for a process to run on more than one
/// logical processor group. This usually means to be limited to use max 64
/// cores. To overcome this, some special platform specific API should be
/// called to set group affinity for each thread. Original code from Texel by
/// Peter Österlund.
// Under Windows it is not possible for a process to run on more than one
// logical processor group. This usually means being limited to using max 64
// cores. To overcome this, some special platform-specific API should be
// called to set group affinity for each thread. Original code from Texel by
// Peter Österlund.
namespace WinProcGroup {
void bindThisThread(size_t idx);
void bindThisThread(size_t idx);
}
namespace CommandLine {
void init(int argc, char* argv[]);
extern std::string binaryDirectory; // path of the executable directory
extern std::string workingDirectory; // path of the working directory
struct CommandLine {
public:
CommandLine(int, char**);
int argc;
char** argv;
std::string binaryDirectory; // path of the executable directory
std::string workingDirectory; // path of the working directory
};
namespace Utility {
template<typename T, typename Predicate>
void move_to_front(std::vector<T>& vec, Predicate pred) {
auto it = std::find_if(vec.begin(), vec.end(), pred);
if (it != vec.end())
{
std::rotate(vec.begin(), it, it + 1);
}
}
}
} // namespace Stockfish
} // namespace Stockfish
#endif // #ifndef MISC_H_INCLUDED
#endif // #ifndef MISC_H_INCLUDED
+92 -96
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -16,64 +16,60 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include <cassert>
#include "movegen.h"
#include <cassert>
#include <initializer_list>
#include "bitboard.h"
#include "position.h"
namespace Stockfish {
namespace {
template<GenType Type, Direction D, bool Enemy>
ExtMove* make_promotions(ExtMove* moveList, [[maybe_unused]] Square to) {
template<GenType Type, Direction D, bool Enemy>
ExtMove* make_promotions(ExtMove* moveList, [[maybe_unused]] Square to) {
if constexpr (Type == CAPTURES || Type == EVASIONS || Type == NON_EVASIONS)
{
*moveList++ = make<PROMOTION>(to - D, to, QUEEN);
if constexpr (Enemy && Type == CAPTURES)
{
*moveList++ = make<PROMOTION>(to - D, to, ROOK);
*moveList++ = make<PROMOTION>(to - D, to, BISHOP);
*moveList++ = make<PROMOTION>(to - D, to, KNIGHT);
}
}
constexpr bool all = Type == EVASIONS || Type == NON_EVASIONS;
if constexpr ((Type == QUIETS && !Enemy) || Type == EVASIONS || Type == NON_EVASIONS)
if constexpr (Type == CAPTURES || all)
*moveList++ = Move::make<PROMOTION>(to - D, to, QUEEN);
if constexpr ((Type == CAPTURES && Enemy) || (Type == QUIETS && !Enemy) || all)
{
*moveList++ = make<PROMOTION>(to - D, to, ROOK);
*moveList++ = make<PROMOTION>(to - D, to, BISHOP);
*moveList++ = make<PROMOTION>(to - D, to, KNIGHT);
*moveList++ = Move::make<PROMOTION>(to - D, to, ROOK);
*moveList++ = Move::make<PROMOTION>(to - D, to, BISHOP);
*moveList++ = Move::make<PROMOTION>(to - D, to, KNIGHT);
}
return moveList;
}
}
template<Color Us, GenType Type>
ExtMove* generate_pawn_moves(const Position& pos, ExtMove* moveList, Bitboard target) {
template<Color Us, GenType Type>
ExtMove* generate_pawn_moves(const Position& pos, ExtMove* moveList, Bitboard target) {
constexpr Color Them = ~Us;
constexpr Bitboard TRank7BB = (Us == WHITE ? Rank7BB : Rank2BB);
constexpr Bitboard TRank3BB = (Us == WHITE ? Rank3BB : Rank6BB);
constexpr Bitboard TRank7BB = (Us == WHITE ? Rank7BB : Rank2BB);
constexpr Bitboard TRank3BB = (Us == WHITE ? Rank3BB : Rank6BB);
constexpr Direction Up = pawn_push(Us);
constexpr Direction UpRight = (Us == WHITE ? NORTH_EAST : SOUTH_WEST);
constexpr Direction UpLeft = (Us == WHITE ? NORTH_WEST : SOUTH_EAST);
const Bitboard emptySquares = ~pos.pieces();
const Bitboard enemies = Type == EVASIONS ? pos.checkers()
: pos.pieces(Them);
const Bitboard enemies = Type == EVASIONS ? pos.checkers() : pos.pieces(Them);
Bitboard pawnsOn7 = pos.pieces(Us, PAWN) & TRank7BB;
Bitboard pawnsOn7 = pos.pieces(Us, PAWN) & TRank7BB;
Bitboard pawnsNotOn7 = pos.pieces(Us, PAWN) & ~TRank7BB;
// Single and double pawn pushes, no promotions
if constexpr (Type != CAPTURES)
{
Bitboard b1 = shift<Up>(pawnsNotOn7) & emptySquares;
Bitboard b1 = shift<Up>(pawnsNotOn7) & emptySquares;
Bitboard b2 = shift<Up>(b1 & TRank3BB) & emptySquares;
if constexpr (Type == EVASIONS) // Consider only blocking squares
if constexpr (Type == EVASIONS) // Consider only blocking squares
{
b1 &= target;
b2 &= target;
@@ -84,22 +80,22 @@ namespace {
// To make a quiet check, you either make a direct check by pushing a pawn
// or push a blocker pawn that is not on the same file as the enemy king.
// Discovered check promotion has been already generated amongst the captures.
Square ksq = pos.square<KING>(Them);
Square ksq = pos.square<KING>(Them);
Bitboard dcCandidatePawns = pos.blockers_for_king(Them) & ~file_bb(ksq);
b1 &= pawn_attacks_bb(Them, ksq) | shift< Up>(dcCandidatePawns);
b2 &= pawn_attacks_bb(Them, ksq) | shift<Up+Up>(dcCandidatePawns);
b1 &= pawn_attacks_bb(Them, ksq) | shift<Up>(dcCandidatePawns);
b2 &= pawn_attacks_bb(Them, ksq) | shift<Up + Up>(dcCandidatePawns);
}
while (b1)
{
Square to = pop_lsb(b1);
*moveList++ = make_move(to - Up, to);
Square to = pop_lsb(b1);
*moveList++ = Move(to - Up, to);
}
while (b2)
{
Square to = pop_lsb(b2);
*moveList++ = make_move(to - Up - Up, to);
Square to = pop_lsb(b2);
*moveList++ = Move(to - Up - Up, to);
}
}
@@ -107,8 +103,8 @@ namespace {
if (pawnsOn7)
{
Bitboard b1 = shift<UpRight>(pawnsOn7) & enemies;
Bitboard b2 = shift<UpLeft >(pawnsOn7) & enemies;
Bitboard b3 = shift<Up >(pawnsOn7) & emptySquares;
Bitboard b2 = shift<UpLeft>(pawnsOn7) & enemies;
Bitboard b3 = shift<Up>(pawnsOn7) & emptySquares;
if constexpr (Type == EVASIONS)
b3 &= target;
@@ -120,25 +116,25 @@ namespace {
moveList = make_promotions<Type, UpLeft, true>(moveList, pop_lsb(b2));
while (b3)
moveList = make_promotions<Type, Up, false>(moveList, pop_lsb(b3));
moveList = make_promotions<Type, Up, false>(moveList, pop_lsb(b3));
}
// Standard and en passant captures
if constexpr (Type == CAPTURES || Type == EVASIONS || Type == NON_EVASIONS)
{
Bitboard b1 = shift<UpRight>(pawnsNotOn7) & enemies;
Bitboard b2 = shift<UpLeft >(pawnsNotOn7) & enemies;
Bitboard b2 = shift<UpLeft>(pawnsNotOn7) & enemies;
while (b1)
{
Square to = pop_lsb(b1);
*moveList++ = make_move(to - UpRight, to);
Square to = pop_lsb(b1);
*moveList++ = Move(to - UpRight, to);
}
while (b2)
{
Square to = pop_lsb(b2);
*moveList++ = make_move(to - UpLeft, to);
Square to = pop_lsb(b2);
*moveList++ = Move(to - UpLeft, to);
}
if (pos.ep_square() != SQ_NONE)
@@ -154,16 +150,16 @@ namespace {
assert(b1);
while (b1)
*moveList++ = make<EN_PASSANT>(pop_lsb(b1), pos.ep_square());
*moveList++ = Move::make<EN_PASSANT>(pop_lsb(b1), pos.ep_square());
}
}
return moveList;
}
}
template<Color Us, PieceType Pt, bool Checks>
ExtMove* generate_moves(const Position& pos, ExtMove* moveList, Bitboard target) {
template<Color Us, PieceType Pt, bool Checks>
ExtMove* generate_moves(const Position& pos, ExtMove* moveList, Bitboard target) {
static_assert(Pt != KING && Pt != PAWN, "Unsupported piece type in generate_moves()");
@@ -171,43 +167,43 @@ namespace {
while (bb)
{
Square from = pop_lsb(bb);
Bitboard b = attacks_bb<Pt>(from, pos.pieces()) & target;
Square from = pop_lsb(bb);
Bitboard b = attacks_bb<Pt>(from, pos.pieces()) & target;
// To check, you either move freely a blocker or make a direct check.
if (Checks && (Pt == QUEEN || !(pos.blockers_for_king(~Us) & from)))
b &= pos.check_squares(Pt);
while (b)
*moveList++ = make_move(from, pop_lsb(b));
*moveList++ = Move(from, pop_lsb(b));
}
return moveList;
}
}
template<Color Us, GenType Type>
ExtMove* generate_all(const Position& pos, ExtMove* moveList) {
template<Color Us, GenType Type>
ExtMove* generate_all(const Position& pos, ExtMove* moveList) {
static_assert(Type != LEGAL, "Unsupported type in generate_all()");
constexpr bool Checks = Type == QUIET_CHECKS; // Reduce template instantiations
const Square ksq = pos.square<KING>(Us);
Bitboard target;
constexpr bool Checks = Type == QUIET_CHECKS; // Reduce template instantiations
const Square ksq = pos.square<KING>(Us);
Bitboard target;
// Skip generating non-king moves when in double check
if (Type != EVASIONS || !more_than_one(pos.checkers()))
{
target = Type == EVASIONS ? between_bb(ksq, lsb(pos.checkers()))
: Type == NON_EVASIONS ? ~pos.pieces( Us)
: Type == CAPTURES ? pos.pieces(~Us)
: ~pos.pieces( ); // QUIETS || QUIET_CHECKS
target = Type == EVASIONS ? between_bb(ksq, lsb(pos.checkers()))
: Type == NON_EVASIONS ? ~pos.pieces(Us)
: Type == CAPTURES ? pos.pieces(~Us)
: ~pos.pieces(); // QUIETS || QUIET_CHECKS
moveList = generate_pawn_moves<Us, Type>(pos, moveList, target);
moveList = generate_moves<Us, KNIGHT, Checks>(pos, moveList, target);
moveList = generate_moves<Us, BISHOP, Checks>(pos, moveList, target);
moveList = generate_moves<Us, ROOK, Checks>(pos, moveList, target);
moveList = generate_moves<Us, QUEEN, Checks>(pos, moveList, target);
moveList = generate_moves<Us, ROOK, Checks>(pos, moveList, target);
moveList = generate_moves<Us, QUEEN, Checks>(pos, moveList, target);
}
if (!Checks || pos.blockers_for_king(~Us) & ksq)
@@ -217,38 +213,38 @@ namespace {
b &= ~attacks_bb<QUEEN>(pos.square<KING>(~Us));
while (b)
*moveList++ = make_move(ksq, pop_lsb(b));
*moveList++ = Move(ksq, pop_lsb(b));
if ((Type == QUIETS || Type == NON_EVASIONS) && pos.can_castle(Us & ANY_CASTLING))
for (CastlingRights cr : { Us & KING_SIDE, Us & QUEEN_SIDE } )
for (CastlingRights cr : {Us & KING_SIDE, Us & QUEEN_SIDE})
if (!pos.castling_impeded(cr) && pos.can_castle(cr))
*moveList++ = make<CASTLING>(ksq, pos.castling_rook_square(cr));
*moveList++ = Move::make<CASTLING>(ksq, pos.castling_rook_square(cr));
}
return moveList;
}
}
} // namespace
} // namespace
/// <CAPTURES> Generates all pseudo-legal captures plus queen promotions
/// <QUIETS> Generates all pseudo-legal non-captures and underpromotions
/// <EVASIONS> Generates all pseudo-legal check evasions when the side to move is in check
/// <QUIET_CHECKS> Generates all pseudo-legal non-captures giving check, except castling and promotions
/// <NON_EVASIONS> Generates all pseudo-legal captures and non-captures
///
/// Returns a pointer to the end of the move list.
// <CAPTURES> Generates all pseudo-legal captures plus queen promotions
// <QUIETS> Generates all pseudo-legal non-captures and underpromotions
// <EVASIONS> Generates all pseudo-legal check evasions
// <NON_EVASIONS> Generates all pseudo-legal captures and non-captures
// <QUIET_CHECKS> Generates all pseudo-legal non-captures giving check,
// except castling and promotions
//
// Returns a pointer to the end of the move list.
template<GenType Type>
ExtMove* generate(const Position& pos, ExtMove* moveList) {
static_assert(Type != LEGAL, "Unsupported type in generate()");
assert((Type == EVASIONS) == (bool)pos.checkers());
static_assert(Type != LEGAL, "Unsupported type in generate()");
assert((Type == EVASIONS) == bool(pos.checkers()));
Color us = pos.side_to_move();
Color us = pos.side_to_move();
return us == WHITE ? generate_all<WHITE, Type>(pos, moveList)
: generate_all<BLACK, Type>(pos, moveList);
return us == WHITE ? generate_all<WHITE, Type>(pos, moveList)
: generate_all<BLACK, Type>(pos, moveList);
}
// Explicit template instantiations
@@ -259,26 +255,26 @@ template ExtMove* generate<QUIET_CHECKS>(const Position&, ExtMove*);
template ExtMove* generate<NON_EVASIONS>(const Position&, ExtMove*);
/// generate<LEGAL> generates all the legal moves in the given position
// generate<LEGAL> generates all the legal moves in the given position
template<>
ExtMove* generate<LEGAL>(const Position& pos, ExtMove* moveList) {
Color us = pos.side_to_move();
Bitboard pinned = pos.blockers_for_king(us) & pos.pieces(us);
Square ksq = pos.square<KING>(us);
ExtMove* cur = moveList;
Color us = pos.side_to_move();
Bitboard pinned = pos.blockers_for_king(us) & pos.pieces(us);
Square ksq = pos.square<KING>(us);
ExtMove* cur = moveList;
moveList = pos.checkers() ? generate<EVASIONS >(pos, moveList)
: generate<NON_EVASIONS>(pos, moveList);
while (cur != moveList)
if ( ((pinned & from_sq(*cur)) || from_sq(*cur) == ksq || type_of(*cur) == EN_PASSANT)
&& !pos.legal(*cur))
*cur = (--moveList)->move;
else
++cur;
moveList =
pos.checkers() ? generate<EVASIONS>(pos, moveList) : generate<NON_EVASIONS>(pos, moveList);
while (cur != moveList)
if (((pinned & cur->from_sq()) || cur->from_sq() == ksq || cur->type_of() == EN_PASSANT)
&& !pos.legal(*cur))
*cur = *(--moveList);
else
++cur;
return moveList;
return moveList;
}
} // namespace Stockfish
} // namespace Stockfish
+29 -32
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -19,7 +19,8 @@
#ifndef MOVEGEN_H_INCLUDED
#define MOVEGEN_H_INCLUDED
#include <algorithm>
#include <algorithm> // IWYU pragma: keep
#include <cstddef>
#include "types.h"
@@ -28,50 +29,46 @@ namespace Stockfish {
class Position;
enum GenType {
CAPTURES,
QUIETS,
QUIET_CHECKS,
EVASIONS,
NON_EVASIONS,
LEGAL
CAPTURES,
QUIETS,
QUIET_CHECKS,
EVASIONS,
NON_EVASIONS,
LEGAL
};
struct ExtMove {
Move move;
int value;
struct ExtMove: public Move {
int value;
operator Move() const { return move; }
void operator=(Move m) { move = m; }
void operator=(Move m) { data = m.raw(); }
// Inhibit unwanted implicit conversions to Move
// with an ambiguity that yields to a compile error.
operator float() const = delete;
// Inhibit unwanted implicit conversions to Move
// with an ambiguity that yields to a compile error.
operator float() const = delete;
};
inline bool operator<(const ExtMove& f, const ExtMove& s) {
return f.value < s.value;
}
inline bool operator<(const ExtMove& f, const ExtMove& s) { return f.value < s.value; }
template<GenType>
ExtMove* generate(const Position& pos, ExtMove* moveList);
/// The MoveList struct is a simple wrapper around generate(). It sometimes comes
/// in handy to use this class instead of the low level generate() function.
// The MoveList struct wraps the generate() function and returns a convenient
// list of moves. Using MoveList is sometimes preferable to directly calling
// the lower level generate() function.
template<GenType T>
struct MoveList {
explicit MoveList(const Position& pos) : last(generate<T>(pos, moveList)) {}
const ExtMove* begin() const { return moveList; }
const ExtMove* end() const { return last; }
size_t size() const { return last - moveList; }
bool contains(Move move) const {
return std::find(begin(), end(), move) != end();
}
explicit MoveList(const Position& pos) :
last(generate<T>(pos, moveList)) {}
const ExtMove* begin() const { return moveList; }
const ExtMove* end() const { return last; }
size_t size() const { return last - moveList; }
bool contains(Move move) const { return std::find(begin(), end(), move) != end(); }
private:
ExtMove moveList[MAX_MOVES], *last;
private:
ExtMove moveList[MAX_MOVES], *last;
};
} // namespace Stockfish
} // namespace Stockfish
#endif // #ifndef MOVEGEN_H_INCLUDED
#endif // #ifndef MOVEGEN_H_INCLUDED
+295 -204
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -16,280 +16,371 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "movepick.h"
#include <algorithm>
#include <cassert>
#include <iterator>
#include <utility>
#include "bitboard.h"
#include "movepick.h"
#include "position.h"
namespace Stockfish {
namespace {
enum Stages {
MAIN_TT, CAPTURE_INIT, GOOD_CAPTURE, REFUTATION, QUIET_INIT, QUIET, BAD_CAPTURE,
EVASION_TT, EVASION_INIT, EVASION,
PROBCUT_TT, PROBCUT_INIT, PROBCUT,
QSEARCH_TT, QCAPTURE_INIT, QCAPTURE, QCHECK_INIT, QCHECK
};
enum Stages {
// generate main search moves
MAIN_TT,
CAPTURE_INIT,
GOOD_CAPTURE,
REFUTATION,
QUIET_INIT,
GOOD_QUIET,
BAD_CAPTURE,
BAD_QUIET,
// partial_insertion_sort() sorts moves in descending order up to and including
// a given limit. The order of moves smaller than the limit is left unspecified.
void partial_insertion_sort(ExtMove* begin, ExtMove* end, int limit) {
// generate evasion moves
EVASION_TT,
EVASION_INIT,
EVASION,
// generate probcut moves
PROBCUT_TT,
PROBCUT_INIT,
PROBCUT,
// generate qsearch moves
QSEARCH_TT,
QCAPTURE_INIT,
QCAPTURE,
QCHECK_INIT,
QCHECK
};
// Sort moves in descending order up to and including
// a given limit. The order of moves smaller than the limit is left unspecified.
void partial_insertion_sort(ExtMove* begin, ExtMove* end, int limit) {
for (ExtMove *sortedEnd = begin, *p = begin + 1; p < end; ++p)
if (p->value >= limit)
{
ExtMove tmp = *p, *q;
*p = *++sortedEnd;
*p = *++sortedEnd;
for (q = sortedEnd; q != begin && *(q - 1) < tmp; --q)
*q = *(q - 1);
*q = tmp;
}
}
} // namespace
/// Constructors of the MovePicker class. As arguments we pass information
/// to help it to return the (presumably) good moves first, to decide which
/// moves to return (in the quiescence search, for instance, we only want to
/// search captures, promotions, and some checks) and how important good move
/// ordering is at the current node.
/// MovePicker constructor for the main search
MovePicker::MovePicker(const Position& p, Move ttm, Depth d, const ButterflyHistory* mh,
const CapturePieceToHistory* cph,
const PieceToHistory** ch,
Move cm,
const Move* killers)
: pos(p), mainHistory(mh), captureHistory(cph), continuationHistory(ch),
ttMove(ttm), refutations{{killers[0], 0}, {killers[1], 0}, {cm, 0}}, depth(d)
{
assert(d > 0);
stage = (pos.checkers() ? EVASION_TT : MAIN_TT) +
!(ttm && pos.pseudo_legal(ttm));
}
/// MovePicker constructor for quiescence search
MovePicker::MovePicker(const Position& p, Move ttm, Depth d, const ButterflyHistory* mh,
const CapturePieceToHistory* cph,
const PieceToHistory** ch,
Square rs)
: pos(p), mainHistory(mh), captureHistory(cph), continuationHistory(ch), ttMove(ttm), recaptureSquare(rs), depth(d)
{
assert(d <= 0);
} // namespace
stage = (pos.checkers() ? EVASION_TT : QSEARCH_TT) +
!( ttm
&& pos.pseudo_legal(ttm));
// Constructors of the MovePicker class. As arguments, we pass information
// to help it return the (presumably) good moves first, to decide which
// moves to return (in the quiescence search, for instance, we only want to
// search captures, promotions, and some checks) and how important a good
// move ordering is at the current node.
// MovePicker constructor for the main search
MovePicker::MovePicker(const Position& p,
Move ttm,
Depth d,
const ButterflyHistory* mh,
const CapturePieceToHistory* cph,
const PieceToHistory** ch,
const PawnHistory* ph,
Move cm,
const Move* killers) :
pos(p),
mainHistory(mh),
captureHistory(cph),
continuationHistory(ch),
pawnHistory(ph),
ttMove(ttm),
refutations{{killers[0], 0}, {killers[1], 0}, {cm, 0}},
depth(d) {
assert(d > 0);
stage = (pos.checkers() ? EVASION_TT : MAIN_TT) + !(ttm && pos.pseudo_legal(ttm));
}
/// MovePicker constructor for ProbCut: we generate captures with SEE greater
/// than or equal to the given threshold.
MovePicker::MovePicker(const Position& p, Move ttm, Value th, const CapturePieceToHistory* cph)
: pos(p), captureHistory(cph), ttMove(ttm), threshold(th)
{
assert(!pos.checkers());
// Constructor for quiescence search
MovePicker::MovePicker(const Position& p,
Move ttm,
Depth d,
const ButterflyHistory* mh,
const CapturePieceToHistory* cph,
const PieceToHistory** ch,
const PawnHistory* ph) :
pos(p),
mainHistory(mh),
captureHistory(cph),
continuationHistory(ch),
pawnHistory(ph),
ttMove(ttm),
depth(d) {
assert(d <= 0);
stage = PROBCUT_TT + !(ttm && pos.capture_stage(ttm)
&& pos.pseudo_legal(ttm)
&& pos.see_ge(ttm, threshold));
stage = (pos.checkers() ? EVASION_TT : QSEARCH_TT) + !(ttm && pos.pseudo_legal(ttm));
}
/// MovePicker::score() assigns a numerical value to each move in a list, used
/// for sorting. Captures are ordered by Most Valuable Victim (MVV), preferring
/// captures with a good history. Quiets moves are ordered using the history tables.
// Constructor for ProbCut: we generate captures with SEE greater
// than or equal to the given threshold.
MovePicker::MovePicker(const Position& p, Move ttm, int th, const CapturePieceToHistory* cph) :
pos(p),
captureHistory(cph),
ttMove(ttm),
threshold(th) {
assert(!pos.checkers());
stage = PROBCUT_TT
+ !(ttm && pos.capture_stage(ttm) && pos.pseudo_legal(ttm) && pos.see_ge(ttm, threshold));
}
// Assigns a numerical value to each move in a list, used
// for sorting. Captures are ordered by Most Valuable Victim (MVV), preferring
// captures with a good history. Quiets moves are ordered using the history tables.
template<GenType Type>
void MovePicker::score() {
static_assert(Type == CAPTURES || Type == QUIETS || Type == EVASIONS, "Wrong type");
static_assert(Type == CAPTURES || Type == QUIETS || Type == EVASIONS, "Wrong type");
[[maybe_unused]] Bitboard threatenedByPawn, threatenedByMinor, threatenedByRook, threatenedPieces;
if constexpr (Type == QUIETS)
{
Color us = pos.side_to_move();
[[maybe_unused]] Bitboard threatenedByPawn, threatenedByMinor, threatenedByRook,
threatenedPieces;
if constexpr (Type == QUIETS)
{
Color us = pos.side_to_move();
threatenedByPawn = pos.attacks_by<PAWN>(~us);
threatenedByMinor = pos.attacks_by<KNIGHT>(~us) | pos.attacks_by<BISHOP>(~us) | threatenedByPawn;
threatenedByRook = pos.attacks_by<ROOK>(~us) | threatenedByMinor;
threatenedByPawn = pos.attacks_by<PAWN>(~us);
threatenedByMinor =
pos.attacks_by<KNIGHT>(~us) | pos.attacks_by<BISHOP>(~us) | threatenedByPawn;
threatenedByRook = pos.attacks_by<ROOK>(~us) | threatenedByMinor;
// Pieces threatened by pieces of lesser material value
threatenedPieces = (pos.pieces(us, QUEEN) & threatenedByRook)
| (pos.pieces(us, ROOK) & threatenedByMinor)
| (pos.pieces(us, KNIGHT, BISHOP) & threatenedByPawn);
}
// Pieces threatened by pieces of lesser material value
threatenedPieces = (pos.pieces(us, QUEEN) & threatenedByRook)
| (pos.pieces(us, ROOK) & threatenedByMinor)
| (pos.pieces(us, KNIGHT, BISHOP) & threatenedByPawn);
}
for (auto& m : *this)
if constexpr (Type == CAPTURES)
m.value = (7 * int(PieceValue[MG][pos.piece_on(to_sq(m))])
+ (*captureHistory)[pos.moved_piece(m)][to_sq(m)][type_of(pos.piece_on(to_sq(m)))]) / 16;
for (auto& m : *this)
if constexpr (Type == CAPTURES)
m.value =
7 * int(PieceValue[pos.piece_on(m.to_sq())])
+ (*captureHistory)[pos.moved_piece(m)][m.to_sq()][type_of(pos.piece_on(m.to_sq()))];
else if constexpr (Type == QUIETS)
m.value = 2 * (*mainHistory)[pos.side_to_move()][from_to(m)]
+ 2 * (*continuationHistory[0])[pos.moved_piece(m)][to_sq(m)]
+ (*continuationHistory[1])[pos.moved_piece(m)][to_sq(m)]
+ (*continuationHistory[3])[pos.moved_piece(m)][to_sq(m)]
+ (*continuationHistory[5])[pos.moved_piece(m)][to_sq(m)]
+ (threatenedPieces & from_sq(m) ?
(type_of(pos.moved_piece(m)) == QUEEN && !(to_sq(m) & threatenedByRook) ? 50000
: type_of(pos.moved_piece(m)) == ROOK && !(to_sq(m) & threatenedByMinor) ? 25000
: !(to_sq(m) & threatenedByPawn) ? 15000
: 0)
: 0)
+ bool(pos.check_squares(type_of(pos.moved_piece(m))) & to_sq(m)) * 16384;
else // Type == EVASIONS
{
if (pos.capture_stage(m))
m.value = PieceValue[MG][pos.piece_on(to_sq(m))]
- Value(type_of(pos.moved_piece(m)))
+ (1 << 28);
else
m.value = (*mainHistory)[pos.side_to_move()][from_to(m)]
+ (*continuationHistory[0])[pos.moved_piece(m)][to_sq(m)];
}
else if constexpr (Type == QUIETS)
{
Piece pc = pos.moved_piece(m);
PieceType pt = type_of(pc);
Square from = m.from_sq();
Square to = m.to_sq();
// histories
m.value = 2 * (*mainHistory)[pos.side_to_move()][m.from_to()];
m.value += 2 * (*pawnHistory)[pawn_structure_index(pos)][pc][to];
m.value += 2 * (*continuationHistory[0])[pc][to];
m.value += (*continuationHistory[1])[pc][to];
m.value += (*continuationHistory[2])[pc][to] / 4;
m.value += (*continuationHistory[3])[pc][to];
m.value += (*continuationHistory[5])[pc][to];
// bonus for checks
m.value += bool(pos.check_squares(pt) & to) * 16384;
// bonus for escaping from capture
m.value += threatenedPieces & from ? (pt == QUEEN && !(to & threatenedByRook) ? 50000
: pt == ROOK && !(to & threatenedByMinor) ? 25000
: !(to & threatenedByPawn) ? 15000
: 0)
: 0;
// malus for putting piece en prise
m.value -= !(threatenedPieces & from)
? (pt == QUEEN ? bool(to & threatenedByRook) * 50000
+ bool(to & threatenedByMinor) * 10000
: pt == ROOK ? bool(to & threatenedByMinor) * 25000
: pt != PAWN ? bool(to & threatenedByPawn) * 15000
: 0)
: 0;
}
else // Type == EVASIONS
{
if (pos.capture_stage(m))
m.value =
PieceValue[pos.piece_on(m.to_sq())] - type_of(pos.moved_piece(m)) + (1 << 28);
else
m.value = (*mainHistory)[pos.side_to_move()][m.from_to()]
+ (*continuationHistory[0])[pos.moved_piece(m)][m.to_sq()]
+ (*pawnHistory)[pawn_structure_index(pos)][pos.moved_piece(m)][m.to_sq()];
}
}
/// MovePicker::select() returns the next move satisfying a predicate function.
/// It never returns the TT move.
// Returns the next move satisfying a predicate function.
// It never returns the TT move.
template<MovePicker::PickType T, typename Pred>
Move MovePicker::select(Pred filter) {
while (cur < endMoves)
{
if constexpr (T == Best)
std::swap(*cur, *std::max_element(cur, endMoves));
while (cur < endMoves)
{
if constexpr (T == Best)
std::swap(*cur, *std::max_element(cur, endMoves));
if (*cur != ttMove && filter())
return *cur++;
if (*cur != ttMove && filter())
return *cur++;
cur++;
}
return MOVE_NONE;
cur++;
}
return Move::none();
}
/// MovePicker::next_move() is the most important method of the MovePicker class. It
/// returns a new pseudo-legal move every time it is called until there are no more
/// moves left, picking the move with the highest score from a list of generated moves.
// Most important method of the MovePicker class. It
// returns a new pseudo-legal move every time it is called until there are no more
// moves left, picking the move with the highest score from a list of generated moves.
Move MovePicker::next_move(bool skipQuiets) {
auto quiet_threshold = [](Depth d) { return -3330 * d; };
top:
switch (stage) {
switch (stage)
{
case MAIN_TT:
case EVASION_TT:
case QSEARCH_TT:
case PROBCUT_TT:
++stage;
return ttMove;
case MAIN_TT :
case EVASION_TT :
case QSEARCH_TT :
case PROBCUT_TT :
++stage;
return ttMove;
case CAPTURE_INIT:
case PROBCUT_INIT:
case QCAPTURE_INIT:
cur = endBadCaptures = moves;
endMoves = generate<CAPTURES>(pos, cur);
case CAPTURE_INIT :
case PROBCUT_INIT :
case QCAPTURE_INIT :
cur = endBadCaptures = moves;
endMoves = generate<CAPTURES>(pos, cur);
score<CAPTURES>();
partial_insertion_sort(cur, endMoves, std::numeric_limits<int>::min());
++stage;
goto top;
score<CAPTURES>();
partial_insertion_sort(cur, endMoves, std::numeric_limits<int>::min());
++stage;
goto top;
case GOOD_CAPTURE:
if (select<Next>([&](){
return pos.see_ge(*cur, Value(-cur->value)) ?
// Move losing capture to endBadCaptures to be tried later
true : (*endBadCaptures++ = *cur, false); }))
return *(cur - 1);
case GOOD_CAPTURE :
if (select<Next>([&]() {
// Move losing capture to endBadCaptures to be tried later
return pos.see_ge(*cur, -cur->value / 18) ? true
: (*endBadCaptures++ = *cur, false);
}))
return *(cur - 1);
// Prepare the pointers to loop over the refutations array
cur = std::begin(refutations);
endMoves = std::end(refutations);
// Prepare the pointers to loop over the refutations array
cur = std::begin(refutations);
endMoves = std::end(refutations);
// If the countermove is the same as a killer, skip it
if ( refutations[0].move == refutations[2].move
|| refutations[1].move == refutations[2].move)
--endMoves;
// If the countermove is the same as a killer, skip it
if (refutations[0] == refutations[2] || refutations[1] == refutations[2])
--endMoves;
++stage;
[[fallthrough]];
++stage;
[[fallthrough]];
case REFUTATION:
if (select<Next>([&](){ return *cur != MOVE_NONE
&& !pos.capture_stage(*cur)
&& pos.pseudo_legal(*cur); }))
return *(cur - 1);
++stage;
[[fallthrough]];
case REFUTATION :
if (select<Next>([&]() {
return *cur != Move::none() && !pos.capture_stage(*cur) && pos.pseudo_legal(*cur);
}))
return *(cur - 1);
++stage;
[[fallthrough]];
case QUIET_INIT:
if (!skipQuiets)
{
cur = endBadCaptures;
endMoves = generate<QUIETS>(pos, cur);
case QUIET_INIT :
if (!skipQuiets)
{
cur = endBadCaptures;
endMoves = beginBadQuiets = endBadQuiets = generate<QUIETS>(pos, cur);
score<QUIETS>();
partial_insertion_sort(cur, endMoves, -3000 * depth);
}
score<QUIETS>();
partial_insertion_sort(cur, endMoves, quiet_threshold(depth));
}
++stage;
[[fallthrough]];
++stage;
[[fallthrough]];
case QUIET:
if ( !skipQuiets
&& select<Next>([&](){return *cur != refutations[0].move
&& *cur != refutations[1].move
&& *cur != refutations[2].move;}))
return *(cur - 1);
case GOOD_QUIET :
if (!skipQuiets && select<Next>([&]() {
return *cur != refutations[0] && *cur != refutations[1] && *cur != refutations[2];
}))
{
if ((cur - 1)->value > -8000 || (cur - 1)->value <= quiet_threshold(depth))
return *(cur - 1);
// Prepare the pointers to loop over the bad captures
cur = moves;
endMoves = endBadCaptures;
// Remaining quiets are bad
beginBadQuiets = cur - 1;
}
++stage;
[[fallthrough]];
// Prepare the pointers to loop over the bad captures
cur = moves;
endMoves = endBadCaptures;
case BAD_CAPTURE:
return select<Next>([](){ return true; });
++stage;
[[fallthrough]];
case EVASION_INIT:
cur = moves;
endMoves = generate<EVASIONS>(pos, cur);
case BAD_CAPTURE :
if (select<Next>([]() { return true; }))
return *(cur - 1);
score<EVASIONS>();
++stage;
[[fallthrough]];
// Prepare the pointers to loop over the bad quiets
cur = beginBadQuiets;
endMoves = endBadQuiets;
case EVASION:
return select<Best>([](){ return true; });
++stage;
[[fallthrough]];
case PROBCUT:
return select<Next>([&](){ return pos.see_ge(*cur, threshold); });
case BAD_QUIET :
if (!skipQuiets)
return select<Next>([&]() {
return *cur != refutations[0] && *cur != refutations[1] && *cur != refutations[2];
});
case QCAPTURE:
if (select<Next>([&](){ return depth > DEPTH_QS_RECAPTURES
|| to_sq(*cur) == recaptureSquare; }))
return *(cur - 1);
return Move::none();
// If we did not find any move and we do not try checks, we have finished
if (depth != DEPTH_QS_CHECKS)
return MOVE_NONE;
case EVASION_INIT :
cur = moves;
endMoves = generate<EVASIONS>(pos, cur);
++stage;
[[fallthrough]];
score<EVASIONS>();
++stage;
[[fallthrough]];
case QCHECK_INIT:
cur = moves;
endMoves = generate<QUIET_CHECKS>(pos, cur);
case EVASION :
return select<Best>([]() { return true; });
++stage;
[[fallthrough]];
case PROBCUT :
return select<Next>([&]() { return pos.see_ge(*cur, threshold); });
case QCHECK:
return select<Next>([](){ return true; });
}
case QCAPTURE :
if (select<Next>([]() { return true; }))
return *(cur - 1);
assert(false);
return MOVE_NONE; // Silence warning
// If we did not find any move and we do not try checks, we have finished
if (depth != DEPTH_QS_CHECKS)
return Move::none();
++stage;
[[fallthrough]];
case QCHECK_INIT :
cur = moves;
endMoves = generate<QUIET_CHECKS>(pos, cur);
++stage;
[[fallthrough]];
case QCHECK :
return select<Next>([]() { return true; });
}
assert(false);
return Move::none(); // Silence warning
}
} // namespace Stockfish
} // namespace Stockfish
+137 -92
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -20,136 +20,181 @@
#define MOVEPICK_H_INCLUDED
#include <array>
#include <cassert>
#include <cmath>
#include <cstdint>
#include <cstdlib>
#include <limits>
#include <type_traits>
#include <type_traits> // IWYU pragma: keep
#include "movegen.h"
#include "position.h"
#include "types.h"
#include "position.h"
namespace Stockfish {
/// StatsEntry stores the stat table value. It is usually a number but could
/// be a move or even a nested history. We use a class instead of naked value
/// to directly call history update operator<<() on the entry so to use stats
/// tables at caller sites as simple multi-dim arrays.
constexpr int PAWN_HISTORY_SIZE = 512; // has to be a power of 2
constexpr int CORRECTION_HISTORY_SIZE = 16384; // has to be a power of 2
constexpr int CORRECTION_HISTORY_LIMIT = 1024;
static_assert((PAWN_HISTORY_SIZE & (PAWN_HISTORY_SIZE - 1)) == 0,
"PAWN_HISTORY_SIZE has to be a power of 2");
static_assert((CORRECTION_HISTORY_SIZE & (CORRECTION_HISTORY_SIZE - 1)) == 0,
"CORRECTION_HISTORY_SIZE has to be a power of 2");
enum PawnHistoryType {
Normal,
Correction
};
template<PawnHistoryType T = Normal>
inline int pawn_structure_index(const Position& pos) {
return pos.pawn_key() & ((T == Normal ? PAWN_HISTORY_SIZE : CORRECTION_HISTORY_SIZE) - 1);
}
// StatsEntry stores the stat table value. It is usually a number but could
// be a move or even a nested history. We use a class instead of a naked value
// to directly call history update operator<<() on the entry so to use stats
// tables at caller sites as simple multi-dim arrays.
template<typename T, int D>
class StatsEntry {
T entry;
T entry;
public:
void operator=(const T& v) { entry = v; }
T* operator&() { return &entry; }
T* operator->() { return &entry; }
operator const T&() const { return entry; }
public:
void operator=(const T& v) { entry = v; }
T* operator&() { return &entry; }
T* operator->() { return &entry; }
operator const T&() const { return entry; }
void operator<<(int bonus) {
assert(abs(bonus) <= D); // Ensure range is [-D, D]
static_assert(D <= std::numeric_limits<T>::max(), "D overflows T");
void operator<<(int bonus) {
assert(std::abs(bonus) <= D); // Ensure range is [-D, D]
static_assert(D <= std::numeric_limits<T>::max(), "D overflows T");
entry += bonus - entry * abs(bonus) / D;
entry += bonus - entry * std::abs(bonus) / D;
assert(abs(entry) <= D);
}
assert(std::abs(entry) <= D);
}
};
/// Stats is a generic N-dimensional array used to store various statistics.
/// The first template parameter T is the base type of the array, the second
/// template parameter D limits the range of updates in [-D, D] when we update
/// values with the << operator, while the last parameters (Size and Sizes)
/// encode the dimensions of the array.
template <typename T, int D, int Size, int... Sizes>
struct Stats : public std::array<Stats<T, D, Sizes...>, Size>
{
using stats = Stats<T, D, Size, Sizes...>;
// Stats is a generic N-dimensional array used to store various statistics.
// The first template parameter T is the base type of the array, and the second
// template parameter D limits the range of updates in [-D, D] when we update
// values with the << operator, while the last parameters (Size and Sizes)
// encode the dimensions of the array.
template<typename T, int D, int Size, int... Sizes>
struct Stats: public std::array<Stats<T, D, Sizes...>, Size> {
using stats = Stats<T, D, Size, Sizes...>;
void fill(const T& v) {
void fill(const T& v) {
// For standard-layout 'this' points to first struct member
assert(std::is_standard_layout<stats>::value);
// For standard-layout 'this' points to the first struct member
assert(std::is_standard_layout_v<stats>);
using entry = StatsEntry<T, D>;
entry* p = reinterpret_cast<entry*>(this);
std::fill(p, p + sizeof(*this) / sizeof(entry), v);
}
using entry = StatsEntry<T, D>;
entry* p = reinterpret_cast<entry*>(this);
std::fill(p, p + sizeof(*this) / sizeof(entry), v);
}
};
template <typename T, int D, int Size>
struct Stats<T, D, Size> : public std::array<StatsEntry<T, D>, Size> {};
template<typename T, int D, int Size>
struct Stats<T, D, Size>: public std::array<StatsEntry<T, D>, Size> {};
/// In stats table, D=0 means that the template parameter is not used
enum StatsParams { NOT_USED = 0 };
enum StatsType { NoCaptures, Captures };
// In stats table, D=0 means that the template parameter is not used
enum StatsParams {
NOT_USED = 0
};
enum StatsType {
NoCaptures,
Captures
};
/// ButterflyHistory records how often quiet moves have been successful or
/// unsuccessful during the current search, and is used for reduction and move
/// ordering decisions. It uses 2 tables (one for each color) indexed by
/// the move's from and to squares, see www.chessprogramming.org/Butterfly_Boards
/// (~11 elo)
// ButterflyHistory records how often quiet moves have been successful or unsuccessful
// during the current search, and is used for reduction and move ordering decisions.
// It uses 2 tables (one for each color) indexed by the move's from and to squares,
// see www.chessprogramming.org/Butterfly_Boards (~11 elo)
using ButterflyHistory = Stats<int16_t, 7183, COLOR_NB, int(SQUARE_NB) * int(SQUARE_NB)>;
/// CounterMoveHistory stores counter moves indexed by [piece][to] of the previous
/// move, see www.chessprogramming.org/Countermove_Heuristic
// CounterMoveHistory stores counter moves indexed by [piece][to] of the previous
// move, see www.chessprogramming.org/Countermove_Heuristic
using CounterMoveHistory = Stats<Move, NOT_USED, PIECE_NB, SQUARE_NB>;
/// CapturePieceToHistory is addressed by a move's [piece][to][captured piece type]
// CapturePieceToHistory is addressed by a move's [piece][to][captured piece type]
using CapturePieceToHistory = Stats<int16_t, 10692, PIECE_NB, SQUARE_NB, PIECE_TYPE_NB>;
/// PieceToHistory is like ButterflyHistory but is addressed by a move's [piece][to]
// PieceToHistory is like ButterflyHistory but is addressed by a move's [piece][to]
using PieceToHistory = Stats<int16_t, 29952, PIECE_NB, SQUARE_NB>;
/// ContinuationHistory is the combined history of a given pair of moves, usually
/// the current one given a previous one. The nested history table is based on
/// PieceToHistory instead of ButterflyBoards.
/// (~63 elo)
// ContinuationHistory is the combined history of a given pair of moves, usually
// the current one given a previous one. The nested history table is based on
// PieceToHistory instead of ButterflyBoards.
// (~63 elo)
using ContinuationHistory = Stats<PieceToHistory, NOT_USED, PIECE_NB, SQUARE_NB>;
// PawnHistory is addressed by the pawn structure and a move's [piece][to]
using PawnHistory = Stats<int16_t, 8192, PAWN_HISTORY_SIZE, PIECE_NB, SQUARE_NB>;
/// MovePicker class is used to pick one pseudo-legal move at a time from the
/// current position. The most important method is next_move(), which returns a
/// new pseudo-legal move each time it is called, until there are no moves left,
/// when MOVE_NONE is returned. In order to improve the efficiency of the
/// alpha-beta algorithm, MovePicker attempts to return the moves which are most
/// likely to get a cut-off first.
// CorrectionHistory is addressed by color and pawn structure
using CorrectionHistory =
Stats<int16_t, CORRECTION_HISTORY_LIMIT, COLOR_NB, CORRECTION_HISTORY_SIZE>;
// MovePicker class is used to pick one pseudo-legal move at a time from the
// current position. The most important method is next_move(), which returns a
// new pseudo-legal move each time it is called, until there are no moves left,
// when Move::none() is returned. In order to improve the efficiency of the
// alpha-beta algorithm, MovePicker attempts to return the moves which are most
// likely to get a cut-off first.
class MovePicker {
enum PickType { Next, Best };
enum PickType {
Next,
Best
};
public:
MovePicker(const MovePicker&) = delete;
MovePicker& operator=(const MovePicker&) = delete;
MovePicker(const Position&, Move, Depth, const ButterflyHistory*,
const CapturePieceToHistory*,
const PieceToHistory**,
Move,
const Move*);
MovePicker(const Position&, Move, Depth, const ButterflyHistory*,
const CapturePieceToHistory*,
const PieceToHistory**,
Square);
MovePicker(const Position&, Move, Value, const CapturePieceToHistory*);
Move next_move(bool skipQuiets = false);
public:
MovePicker(const MovePicker&) = delete;
MovePicker& operator=(const MovePicker&) = delete;
MovePicker(const Position&,
Move,
Depth,
const ButterflyHistory*,
const CapturePieceToHistory*,
const PieceToHistory**,
const PawnHistory*,
Move,
const Move*);
MovePicker(const Position&,
Move,
Depth,
const ButterflyHistory*,
const CapturePieceToHistory*,
const PieceToHistory**,
const PawnHistory*);
MovePicker(const Position&, Move, int, const CapturePieceToHistory*);
Move next_move(bool skipQuiets = false);
private:
template<PickType T, typename Pred> Move select(Pred);
template<GenType> void score();
ExtMove* begin() { return cur; }
ExtMove* end() { return endMoves; }
private:
template<PickType T, typename Pred>
Move select(Pred);
template<GenType>
void score();
ExtMove* begin() { return cur; }
ExtMove* end() { return endMoves; }
const Position& pos;
const ButterflyHistory* mainHistory;
const CapturePieceToHistory* captureHistory;
const PieceToHistory** continuationHistory;
Move ttMove;
ExtMove refutations[3], *cur, *endMoves, *endBadCaptures;
int stage;
Square recaptureSquare;
Value threshold;
Depth depth;
ExtMove moves[MAX_MOVES];
const Position& pos;
const ButterflyHistory* mainHistory;
const CapturePieceToHistory* captureHistory;
const PieceToHistory** continuationHistory;
const PawnHistory* pawnHistory;
Move ttMove;
ExtMove refutations[3], *cur, *endMoves, *endBadCaptures, *beginBadQuiets, *endBadQuiets;
int stage;
int threshold;
Depth depth;
ExtMove moves[MAX_MOVES];
};
} // namespace Stockfish
} // namespace Stockfish
#endif // #ifndef MOVEPICK_H_INCLUDED
#endif // #ifndef MOVEPICK_H_INCLUDED
+270 -193
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -18,312 +18,375 @@
// Code for calculating NNUE evaluation function
#include "evaluate_nnue.h"
#include <cmath>
#include <cstdlib>
#include <cstring>
#include <fstream>
#include <iomanip>
#include <iostream>
#include <set>
#include <optional>
#include <sstream>
#include <string_view>
#include <type_traits>
#include <unordered_map>
#include "../evaluate.h"
#include "../misc.h"
#include "../position.h"
#include "../uci.h"
#include "../types.h"
#include "evaluate_nnue.h"
#include "../uci.h"
#include "nnue_accumulator.h"
#include "nnue_common.h"
namespace Stockfish::Eval::NNUE {
// Input feature converter
LargePagePtr<FeatureTransformer> featureTransformer;
// Input feature converter
LargePagePtr<FeatureTransformer<TransformedFeatureDimensionsBig, &StateInfo::accumulatorBig>>
featureTransformerBig;
LargePagePtr<FeatureTransformer<TransformedFeatureDimensionsSmall, &StateInfo::accumulatorSmall>>
featureTransformerSmall;
// Evaluation function
AlignedPtr<Network> network[LayerStacks];
// Evaluation function
AlignedPtr<Network<TransformedFeatureDimensionsBig, L2Big, L3Big>> networkBig[LayerStacks];
AlignedPtr<Network<TransformedFeatureDimensionsSmall, L2Small, L3Small>> networkSmall[LayerStacks];
// Evaluation function file name
std::string fileName;
std::string netDescription;
// Evaluation function file names
namespace Detail {
namespace Detail {
// Initialize the evaluation function parameters
template <typename T>
void initialize(AlignedPtr<T>& pointer) {
// Initialize the evaluation function parameters
template<typename T>
void initialize(AlignedPtr<T>& pointer) {
pointer.reset(reinterpret_cast<T*>(std_aligned_alloc(alignof(T), sizeof(T))));
std::memset(pointer.get(), 0, sizeof(T));
}
}
template <typename T>
void initialize(LargePagePtr<T>& pointer) {
template<typename T>
void initialize(LargePagePtr<T>& pointer) {
static_assert(alignof(T) <= 4096, "aligned_large_pages_alloc() may fail for such a big alignment requirement of T");
static_assert(alignof(T) <= 4096,
"aligned_large_pages_alloc() may fail for such a big alignment requirement of T");
pointer.reset(reinterpret_cast<T*>(aligned_large_pages_alloc(sizeof(T))));
std::memset(pointer.get(), 0, sizeof(T));
}
}
// Read evaluation function parameters
template <typename T>
bool read_parameters(std::istream& stream, T& reference) {
// Read evaluation function parameters
template<typename T>
bool read_parameters(std::istream& stream, T& reference) {
std::uint32_t header;
header = read_little_endian<std::uint32_t>(stream);
if (!stream || header != T::get_hash_value()) return false;
if (!stream || header != T::get_hash_value())
return false;
return reference.read_parameters(stream);
}
}
// Write evaluation function parameters
template <typename T>
bool write_parameters(std::ostream& stream, const T& reference) {
// Write evaluation function parameters
template<typename T>
bool write_parameters(std::ostream& stream, const T& reference) {
write_little_endian<std::uint32_t>(stream, T::get_hash_value());
return reference.write_parameters(stream);
}
}
} // namespace Detail
} // namespace Detail
// Initialize the evaluation function parameters
static void initialize() {
Detail::initialize(featureTransformer);
for (std::size_t i = 0; i < LayerStacks; ++i)
Detail::initialize(network[i]);
}
// Initialize the evaluation function parameters
static void initialize(NetSize netSize) {
// Read network header
static bool read_header(std::istream& stream, std::uint32_t* hashValue, std::string* desc)
{
if (netSize == Small)
{
Detail::initialize(featureTransformerSmall);
for (std::size_t i = 0; i < LayerStacks; ++i)
Detail::initialize(networkSmall[i]);
}
else
{
Detail::initialize(featureTransformerBig);
for (std::size_t i = 0; i < LayerStacks; ++i)
Detail::initialize(networkBig[i]);
}
}
// Read network header
static bool read_header(std::istream& stream, std::uint32_t* hashValue, std::string* desc) {
std::uint32_t version, size;
version = read_little_endian<std::uint32_t>(stream);
*hashValue = read_little_endian<std::uint32_t>(stream);
size = read_little_endian<std::uint32_t>(stream);
if (!stream || version != Version) return false;
version = read_little_endian<std::uint32_t>(stream);
*hashValue = read_little_endian<std::uint32_t>(stream);
size = read_little_endian<std::uint32_t>(stream);
if (!stream || version != Version)
return false;
desc->resize(size);
stream.read(&(*desc)[0], size);
return !stream.fail();
}
}
// Write network header
static bool write_header(std::ostream& stream, std::uint32_t hashValue, const std::string& desc)
{
// Write network header
static bool write_header(std::ostream& stream, std::uint32_t hashValue, const std::string& desc) {
write_little_endian<std::uint32_t>(stream, Version);
write_little_endian<std::uint32_t>(stream, hashValue);
write_little_endian<std::uint32_t>(stream, (std::uint32_t)desc.size());
write_little_endian<std::uint32_t>(stream, std::uint32_t(desc.size()));
stream.write(&desc[0], desc.size());
return !stream.fail();
}
}
// Read network parameters
static bool read_parameters(std::istream& stream) {
// Read network parameters
static bool read_parameters(std::istream& stream, NetSize netSize, std::string& netDescription) {
std::uint32_t hashValue;
if (!read_header(stream, &hashValue, &netDescription)) return false;
if (hashValue != HashValue) return false;
if (!Detail::read_parameters(stream, *featureTransformer)) return false;
if (!read_header(stream, &hashValue, &netDescription))
return false;
if (hashValue != HashValue[netSize])
return false;
if (netSize == Big && !Detail::read_parameters(stream, *featureTransformerBig))
return false;
if (netSize == Small && !Detail::read_parameters(stream, *featureTransformerSmall))
return false;
for (std::size_t i = 0; i < LayerStacks; ++i)
if (!Detail::read_parameters(stream, *(network[i]))) return false;
{
if (netSize == Big && !Detail::read_parameters(stream, *(networkBig[i])))
return false;
if (netSize == Small && !Detail::read_parameters(stream, *(networkSmall[i])))
return false;
}
return stream && stream.peek() == std::ios::traits_type::eof();
}
}
// Write network parameters
static bool write_parameters(std::ostream& stream) {
// Write network parameters
static bool
write_parameters(std::ostream& stream, NetSize netSize, const std::string& netDescription) {
if (!write_header(stream, HashValue, netDescription)) return false;
if (!Detail::write_parameters(stream, *featureTransformer)) return false;
if (!write_header(stream, HashValue[netSize], netDescription))
return false;
if (netSize == Big && !Detail::write_parameters(stream, *featureTransformerBig))
return false;
if (netSize == Small && !Detail::write_parameters(stream, *featureTransformerSmall))
return false;
for (std::size_t i = 0; i < LayerStacks; ++i)
if (!Detail::write_parameters(stream, *(network[i]))) return false;
return (bool)stream;
}
{
if (netSize == Big && !Detail::write_parameters(stream, *(networkBig[i])))
return false;
if (netSize == Small && !Detail::write_parameters(stream, *(networkSmall[i])))
return false;
}
return bool(stream);
}
void hint_common_parent_position(const Position& pos) {
if (Eval::useNNUE)
featureTransformer->hint_common_access(pos);
}
void hint_common_parent_position(const Position& pos) {
// Evaluation function. Perform differential calculation.
Value evaluate(const Position& pos, bool adjusted, int* complexity) {
int simpleEval = simple_eval(pos, pos.side_to_move());
if (std::abs(simpleEval) > 1050)
featureTransformerSmall->hint_common_access(pos);
else
featureTransformerBig->hint_common_access(pos);
}
// Evaluation function. Perform differential calculation.
template<NetSize Net_Size>
Value evaluate(const Position& pos, bool adjusted, int* complexity) {
// We manually align the arrays on the stack because with gcc < 9.3
// overaligning stack variables with alignas() doesn't work correctly.
constexpr uint64_t alignment = CacheLineSize;
constexpr int delta = 24;
constexpr int delta = 24;
#if defined(ALIGNAS_ON_STACK_VARIABLES_BROKEN)
TransformedFeatureType transformedFeaturesUnaligned[
FeatureTransformer::BufferSize + alignment / sizeof(TransformedFeatureType)];
TransformedFeatureType transformedFeaturesUnaligned
[FeatureTransformer < Net_Size == Small ? TransformedFeatureDimensionsSmall
: TransformedFeatureDimensionsBig,
nullptr > ::BufferSize + alignment / sizeof(TransformedFeatureType)];
auto* transformedFeatures = align_ptr_up<alignment>(&transformedFeaturesUnaligned[0]);
#else
alignas(alignment)
TransformedFeatureType transformedFeatures[FeatureTransformer::BufferSize];
alignas(alignment) TransformedFeatureType
transformedFeatures[FeatureTransformer < Net_Size == Small ? TransformedFeatureDimensionsSmall
: TransformedFeatureDimensionsBig,
nullptr > ::BufferSize];
#endif
ASSERT_ALIGNED(transformedFeatures, alignment);
const int bucket = (pos.count<ALL_PIECES>() - 1) / 4;
const auto psqt = featureTransformer->transform(pos, transformedFeatures, bucket);
const auto positional = network[bucket]->propagate(transformedFeatures);
const int bucket = (pos.count<ALL_PIECES>() - 1) / 4;
const auto psqt = Net_Size == Small
? featureTransformerSmall->transform(pos, transformedFeatures, bucket)
: featureTransformerBig->transform(pos, transformedFeatures, bucket);
const auto positional = Net_Size == Small ? networkSmall[bucket]->propagate(transformedFeatures)
: networkBig[bucket]->propagate(transformedFeatures);
if (complexity)
*complexity = abs(psqt - positional) / OutputScale;
*complexity = std::abs(psqt - positional) / OutputScale;
// Give more value to positional evaluation when adjusted flag is set
if (adjusted)
return static_cast<Value>(((1024 - delta) * psqt + (1024 + delta) * positional) / (1024 * OutputScale));
return static_cast<Value>(((1024 - delta) * psqt + (1024 + delta) * positional)
/ (1024 * OutputScale));
else
return static_cast<Value>((psqt + positional) / OutputScale);
}
}
struct NnueEvalTrace {
template Value evaluate<Big>(const Position& pos, bool adjusted, int* complexity);
template Value evaluate<Small>(const Position& pos, bool adjusted, int* complexity);
struct NnueEvalTrace {
static_assert(LayerStacks == PSQTBuckets);
Value psqt[LayerStacks];
Value positional[LayerStacks];
Value psqt[LayerStacks];
Value positional[LayerStacks];
std::size_t correctBucket;
};
};
static NnueEvalTrace trace_evaluate(const Position& pos) {
static NnueEvalTrace trace_evaluate(const Position& pos) {
// We manually align the arrays on the stack because with gcc < 9.3
// overaligning stack variables with alignas() doesn't work correctly.
constexpr uint64_t alignment = CacheLineSize;
#if defined(ALIGNAS_ON_STACK_VARIABLES_BROKEN)
TransformedFeatureType transformedFeaturesUnaligned[
FeatureTransformer::BufferSize + alignment / sizeof(TransformedFeatureType)];
TransformedFeatureType transformedFeaturesUnaligned
[FeatureTransformer<TransformedFeatureDimensionsBig, nullptr>::BufferSize
+ alignment / sizeof(TransformedFeatureType)];
auto* transformedFeatures = align_ptr_up<alignment>(&transformedFeaturesUnaligned[0]);
#else
alignas(alignment)
TransformedFeatureType transformedFeatures[FeatureTransformer::BufferSize];
alignas(alignment) TransformedFeatureType
transformedFeatures[FeatureTransformer<TransformedFeatureDimensionsBig, nullptr>::BufferSize];
#endif
ASSERT_ALIGNED(transformedFeatures, alignment);
NnueEvalTrace t{};
t.correctBucket = (pos.count<ALL_PIECES>() - 1) / 4;
for (IndexType bucket = 0; bucket < LayerStacks; ++bucket) {
const auto materialist = featureTransformer->transform(pos, transformedFeatures, bucket);
const auto positional = network[bucket]->propagate(transformedFeatures);
for (IndexType bucket = 0; bucket < LayerStacks; ++bucket)
{
const auto materialist = featureTransformerBig->transform(pos, transformedFeatures, bucket);
const auto positional = networkBig[bucket]->propagate(transformedFeatures);
t.psqt[bucket] = static_cast<Value>( materialist / OutputScale );
t.positional[bucket] = static_cast<Value>( positional / OutputScale );
t.psqt[bucket] = static_cast<Value>(materialist / OutputScale);
t.positional[bucket] = static_cast<Value>(positional / OutputScale);
}
return t;
}
}
constexpr std::string_view PieceToChar(" PNBRQK pnbrqk");
constexpr std::string_view PieceToChar(" PNBRQK pnbrqk");
// format_cp_compact() converts a Value into (centi)pawns and writes it in a buffer.
// The buffer must have capacity for at least 5 chars.
static void format_cp_compact(Value v, char* buffer) {
// Converts a Value into (centi)pawns and writes it in a buffer.
// The buffer must have capacity for at least 5 chars.
static void format_cp_compact(Value v, char* buffer) {
buffer[0] = (v < 0 ? '-' : v > 0 ? '+' : ' ');
int cp = std::abs(100 * v / UCI::NormalizeToPawnValue);
int cp = std::abs(UCI::to_cp(v));
if (cp >= 10000)
{
buffer[1] = '0' + cp / 10000; cp %= 10000;
buffer[2] = '0' + cp / 1000; cp %= 1000;
buffer[1] = '0' + cp / 10000;
cp %= 10000;
buffer[2] = '0' + cp / 1000;
cp %= 1000;
buffer[3] = '0' + cp / 100;
buffer[4] = ' ';
}
else if (cp >= 1000)
{
buffer[1] = '0' + cp / 1000; cp %= 1000;
buffer[2] = '0' + cp / 100; cp %= 100;
buffer[1] = '0' + cp / 1000;
cp %= 1000;
buffer[2] = '0' + cp / 100;
cp %= 100;
buffer[3] = '.';
buffer[4] = '0' + cp / 10;
}
else
{
buffer[1] = '0' + cp / 100; cp %= 100;
buffer[1] = '0' + cp / 100;
cp %= 100;
buffer[2] = '.';
buffer[3] = '0' + cp / 10; cp %= 10;
buffer[3] = '0' + cp / 10;
cp %= 10;
buffer[4] = '0' + cp / 1;
}
}
}
// format_cp_aligned_dot() converts a Value into (centi)pawns, always keeping two decimals.
static void format_cp_aligned_dot(Value v, std::stringstream &stream) {
const double cp = 1.0 * std::abs(int(v)) / UCI::NormalizeToPawnValue;
// Converts a Value into pawns, always keeping two decimals
static void format_cp_aligned_dot(Value v, std::stringstream& stream) {
stream << (v < 0 ? '-' : v > 0 ? '+' : ' ')
<< std::setiosflags(std::ios::fixed)
<< std::setw(6)
<< std::setprecision(2)
<< cp;
}
const double pawns = std::abs(0.01 * UCI::to_cp(v));
stream << (v < 0 ? '-'
: v > 0 ? '+'
: ' ')
<< std::setiosflags(std::ios::fixed) << std::setw(6) << std::setprecision(2) << pawns;
}
// trace() returns a string with the value of each piece on a board,
// and a table for (PSQT, Layers) values bucket by bucket.
std::string trace(Position& pos) {
// Returns a string with the value of each piece on a board,
// and a table for (PSQT, Layers) values bucket by bucket.
std::string trace(Position& pos) {
std::stringstream ss;
char board[3*8+1][8*8+2];
char board[3 * 8 + 1][8 * 8 + 2];
std::memset(board, ' ', sizeof(board));
for (int row = 0; row < 3*8+1; ++row)
board[row][8*8+1] = '\0';
for (int row = 0; row < 3 * 8 + 1; ++row)
board[row][8 * 8 + 1] = '\0';
// A lambda to output one box of the board
auto writeSquare = [&board](File file, Rank rank, Piece pc, Value value) {
const int x = ((int)file) * 8;
const int y = (7 - (int)rank) * 3;
for (int i = 1; i < 8; ++i)
board[y][x+i] = board[y+3][x+i] = '-';
for (int i = 1; i < 3; ++i)
board[y+i][x] = board[y+i][x+8] = '|';
board[y][x] = board[y][x+8] = board[y+3][x+8] = board[y+3][x] = '+';
if (pc != NO_PIECE)
board[y+1][x+4] = PieceToChar[pc];
if (value != VALUE_NONE)
format_cp_compact(value, &board[y+2][x+2]);
const int x = int(file) * 8;
const int y = (7 - int(rank)) * 3;
for (int i = 1; i < 8; ++i)
board[y][x + i] = board[y + 3][x + i] = '-';
for (int i = 1; i < 3; ++i)
board[y + i][x] = board[y + i][x + 8] = '|';
board[y][x] = board[y][x + 8] = board[y + 3][x + 8] = board[y + 3][x] = '+';
if (pc != NO_PIECE)
board[y + 1][x + 4] = PieceToChar[pc];
if (value != VALUE_NONE)
format_cp_compact(value, &board[y + 2][x + 2]);
};
// We estimate the value of each piece by doing a differential evaluation from
// the current base eval, simulating the removal of the piece from its square.
Value base = evaluate(pos);
base = pos.side_to_move() == WHITE ? base : -base;
Value base = evaluate<NNUE::Big>(pos);
base = pos.side_to_move() == WHITE ? base : -base;
for (File f = FILE_A; f <= FILE_H; ++f)
for (Rank r = RANK_1; r <= RANK_8; ++r)
{
Square sq = make_square(f, r);
Piece pc = pos.piece_on(sq);
Value v = VALUE_NONE;
if (pc != NO_PIECE && type_of(pc) != KING)
for (Rank r = RANK_1; r <= RANK_8; ++r)
{
auto st = pos.state();
Square sq = make_square(f, r);
Piece pc = pos.piece_on(sq);
Value v = VALUE_NONE;
pos.remove_piece(sq);
st->accumulator.computed[WHITE] = false;
st->accumulator.computed[BLACK] = false;
if (pc != NO_PIECE && type_of(pc) != KING)
{
auto st = pos.state();
Value eval = evaluate(pos);
eval = pos.side_to_move() == WHITE ? eval : -eval;
v = base - eval;
pos.remove_piece(sq);
st->accumulatorBig.computed[WHITE] = false;
st->accumulatorBig.computed[BLACK] = false;
pos.put_piece(pc, sq);
st->accumulator.computed[WHITE] = false;
st->accumulator.computed[BLACK] = false;
Value eval = evaluate<NNUE::Big>(pos);
eval = pos.side_to_move() == WHITE ? eval : -eval;
v = base - eval;
pos.put_piece(pc, sq);
st->accumulatorBig.computed[WHITE] = false;
st->accumulatorBig.computed[BLACK] = false;
}
writeSquare(f, r, pc, v);
}
writeSquare(f, r, pc, v);
}
ss << " NNUE derived piece values:\n";
for (int row = 0; row < 3*8+1; ++row)
for (int row = 0; row < 3 * 8 + 1; ++row)
ss << board[row] << '\n';
ss << '\n';
@@ -338,41 +401,53 @@ namespace Stockfish::Eval::NNUE {
for (std::size_t bucket = 0; bucket < LayerStacks; ++bucket)
{
ss << "| " << bucket << " ";
ss << " | "; format_cp_aligned_dot(t.psqt[bucket], ss); ss << " "
<< " | "; format_cp_aligned_dot(t.positional[bucket], ss); ss << " "
<< " | "; format_cp_aligned_dot(t.psqt[bucket] + t.positional[bucket], ss); ss << " "
<< " |";
if (bucket == t.correctBucket)
ss << " <-- this bucket is used";
ss << '\n';
ss << "| " << bucket << " ";
ss << " | ";
format_cp_aligned_dot(t.psqt[bucket], ss);
ss << " "
<< " | ";
format_cp_aligned_dot(t.positional[bucket], ss);
ss << " "
<< " | ";
format_cp_aligned_dot(t.psqt[bucket] + t.positional[bucket], ss);
ss << " "
<< " |";
if (bucket == t.correctBucket)
ss << " <-- this bucket is used";
ss << '\n';
}
ss << "+------------+------------+------------+------------+\n";
return ss.str();
}
}
// Load eval, from a file stream or a memory stream
bool load_eval(std::string name, std::istream& stream) {
// Load eval, from a file stream or a memory stream
std::optional<std::string> load_eval(std::istream& stream, NetSize netSize) {
initialize();
fileName = name;
return read_parameters(stream);
}
initialize(netSize);
std::string netDescription;
return read_parameters(stream, netSize, netDescription) ? std::make_optional(netDescription)
: std::nullopt;
}
// Save eval, to a file stream or a memory stream
bool save_eval(std::ostream& stream) {
// Save eval, to a file stream or a memory stream
bool save_eval(std::ostream& stream,
NetSize netSize,
const std::string& name,
const std::string& netDescription) {
if (fileName.empty())
return false;
if (name.empty() || name == "None")
return false;
return write_parameters(stream);
}
return write_parameters(stream, netSize, netDescription);
}
/// Save eval, to a file given by its name
bool save_eval(const std::optional<std::string>& filename) {
// Save eval, to a file given by its name
bool save_eval(const std::optional<std::string>& filename,
NetSize netSize,
const std::unordered_map<Eval::NNUE::NetSize, Eval::EvalFile>& evalFiles) {
std::string actualFilename;
std::string msg;
@@ -381,25 +456,27 @@ namespace Stockfish::Eval::NNUE {
actualFilename = filename.value();
else
{
if (currentEvalFileName != EvalFileDefaultName)
if (evalFiles.at(netSize).current
!= (netSize == Small ? EvalFileDefaultNameSmall : EvalFileDefaultNameBig))
{
msg = "Failed to export a net. A non-embedded net can only be saved if the filename is specified";
msg = "Failed to export a net. "
"A non-embedded net can only be saved if the filename is specified";
sync_cout << msg << sync_endl;
return false;
sync_cout << msg << sync_endl;
return false;
}
actualFilename = EvalFileDefaultName;
actualFilename = (netSize == Small ? EvalFileDefaultNameSmall : EvalFileDefaultNameBig);
}
std::ofstream stream(actualFilename, std::ios_base::binary);
bool saved = save_eval(stream);
bool saved = save_eval(stream, netSize, evalFiles.at(netSize).current,
evalFiles.at(netSize).netDescription);
msg = saved ? "Network saved successfully to " + actualFilename
: "Failed to export a net";
msg = saved ? "Network saved successfully to " + actualFilename : "Failed to export a net";
sync_cout << msg << sync_endl;
return saved;
}
}
} // namespace Stockfish::Eval::NNUE
} // namespace Stockfish::Eval::NNUE
+53 -28
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -21,48 +21,73 @@
#ifndef NNUE_EVALUATE_NNUE_H_INCLUDED
#define NNUE_EVALUATE_NNUE_H_INCLUDED
#include <cstdint>
#include <iosfwd>
#include <memory>
#include <optional>
#include <string>
#include <unordered_map>
#include "../misc.h"
#include "../types.h"
#include "nnue_architecture.h"
#include "nnue_feature_transformer.h"
#include <memory>
namespace Stockfish {
class Position;
namespace Eval {
struct EvalFile;
}
}
namespace Stockfish::Eval::NNUE {
// Hash value of evaluation function structure
constexpr std::uint32_t HashValue =
FeatureTransformer::get_hash_value() ^ Network::get_hash_value();
// Hash value of evaluation function structure
constexpr std::uint32_t HashValue[2] = {
FeatureTransformer<TransformedFeatureDimensionsBig, nullptr>::get_hash_value()
^ Network<TransformedFeatureDimensionsBig, L2Big, L3Big>::get_hash_value(),
FeatureTransformer<TransformedFeatureDimensionsSmall, nullptr>::get_hash_value()
^ Network<TransformedFeatureDimensionsSmall, L2Small, L3Small>::get_hash_value()};
// Deleter for automating release of memory area
template <typename T>
struct AlignedDeleter {
// Deleter for automating release of memory area
template<typename T>
struct AlignedDeleter {
void operator()(T* ptr) const {
ptr->~T();
std_aligned_free(ptr);
ptr->~T();
std_aligned_free(ptr);
}
};
};
template <typename T>
struct LargePageDeleter {
template<typename T>
struct LargePageDeleter {
void operator()(T* ptr) const {
ptr->~T();
aligned_large_pages_free(ptr);
ptr->~T();
aligned_large_pages_free(ptr);
}
};
};
template <typename T>
using AlignedPtr = std::unique_ptr<T, AlignedDeleter<T>>;
template<typename T>
using AlignedPtr = std::unique_ptr<T, AlignedDeleter<T>>;
template <typename T>
using LargePagePtr = std::unique_ptr<T, LargePageDeleter<T>>;
template<typename T>
using LargePagePtr = std::unique_ptr<T, LargePageDeleter<T>>;
std::string trace(Position& pos);
Value evaluate(const Position& pos, bool adjusted = false, int* complexity = nullptr);
void hint_common_parent_position(const Position& pos);
std::string trace(Position& pos);
template<NetSize Net_Size>
Value evaluate(const Position& pos, bool adjusted = false, int* complexity = nullptr);
void hint_common_parent_position(const Position& pos);
bool load_eval(std::string name, std::istream& stream);
bool save_eval(std::ostream& stream);
bool save_eval(const std::optional<std::string>& filename);
std::optional<std::string> load_eval(std::istream& stream, NetSize netSize);
bool save_eval(std::ostream& stream,
NetSize netSize,
const std::string& name,
const std::string& netDescription);
bool save_eval(const std::optional<std::string>& filename,
NetSize netSize,
const std::unordered_map<Eval::NNUE::NetSize, Eval::EvalFile>&);
} // namespace Stockfish::Eval::NNUE
#endif // #ifndef NNUE_EVALUATE_NNUE_H_INCLUDED
#endif // #ifndef NNUE_EVALUATE_NNUE_H_INCLUDED
+47 -45
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -20,65 +20,67 @@
#include "half_ka_v2_hm.h"
#include "../../bitboard.h"
#include "../../position.h"
#include "../../types.h"
#include "../nnue_common.h"
namespace Stockfish::Eval::NNUE::Features {
// Index of a feature for a given king position and another piece on some square
template<Color Perspective>
inline IndexType HalfKAv2_hm::make_index(Square s, Piece pc, Square ksq) {
return IndexType((int(s) ^ OrientTBL[Perspective][ksq]) + PieceSquareIndex[Perspective][pc] + KingBuckets[Perspective][ksq]);
}
// Index of a feature for a given king position and another piece on some square
template<Color Perspective>
inline IndexType HalfKAv2_hm::make_index(Square s, Piece pc, Square ksq) {
return IndexType((int(s) ^ OrientTBL[Perspective][ksq]) + PieceSquareIndex[Perspective][pc]
+ KingBuckets[Perspective][ksq]);
}
// Get a list of indices for active features
template<Color Perspective>
void HalfKAv2_hm::append_active_indices(
const Position& pos,
IndexList& active
) {
Square ksq = pos.square<KING>(Perspective);
Bitboard bb = pos.pieces();
// Get a list of indices for active features
template<Color Perspective>
void HalfKAv2_hm::append_active_indices(const Position& pos, IndexList& active) {
Square ksq = pos.square<KING>(Perspective);
Bitboard bb = pos.pieces();
while (bb)
{
Square s = pop_lsb(bb);
active.push_back(make_index<Perspective>(s, pos.piece_on(s), ksq));
Square s = pop_lsb(bb);
active.push_back(make_index<Perspective>(s, pos.piece_on(s), ksq));
}
}
}
// Explicit template instantiations
template void HalfKAv2_hm::append_active_indices<WHITE>(const Position& pos, IndexList& active);
template void HalfKAv2_hm::append_active_indices<BLACK>(const Position& pos, IndexList& active);
// Explicit template instantiations
template void HalfKAv2_hm::append_active_indices<WHITE>(const Position& pos, IndexList& active);
template void HalfKAv2_hm::append_active_indices<BLACK>(const Position& pos, IndexList& active);
// append_changed_indices() : get a list of indices for recently changed features
template<Color Perspective>
void HalfKAv2_hm::append_changed_indices(
Square ksq,
const DirtyPiece& dp,
IndexList& removed,
IndexList& added
) {
for (int i = 0; i < dp.dirty_num; ++i) {
if (dp.from[i] != SQ_NONE)
removed.push_back(make_index<Perspective>(dp.from[i], dp.piece[i], ksq));
if (dp.to[i] != SQ_NONE)
added.push_back(make_index<Perspective>(dp.to[i], dp.piece[i], ksq));
// Get a list of indices for recently changed features
template<Color Perspective>
void HalfKAv2_hm::append_changed_indices(Square ksq,
const DirtyPiece& dp,
IndexList& removed,
IndexList& added) {
for (int i = 0; i < dp.dirty_num; ++i)
{
if (dp.from[i] != SQ_NONE)
removed.push_back(make_index<Perspective>(dp.from[i], dp.piece[i], ksq));
if (dp.to[i] != SQ_NONE)
added.push_back(make_index<Perspective>(dp.to[i], dp.piece[i], ksq));
}
}
}
// Explicit template instantiations
template void HalfKAv2_hm::append_changed_indices<WHITE>(Square ksq, const DirtyPiece& dp, IndexList& removed, IndexList& added);
template void HalfKAv2_hm::append_changed_indices<BLACK>(Square ksq, const DirtyPiece& dp, IndexList& removed, IndexList& added);
// Explicit template instantiations
template void HalfKAv2_hm::append_changed_indices<WHITE>(Square ksq,
const DirtyPiece& dp,
IndexList& removed,
IndexList& added);
template void HalfKAv2_hm::append_changed_indices<BLACK>(Square ksq,
const DirtyPiece& dp,
IndexList& removed,
IndexList& added);
int HalfKAv2_hm::update_cost(const StateInfo* st) {
return st->dirtyPiece.dirty_num;
}
int HalfKAv2_hm::update_cost(const StateInfo* st) { return st->dirtyPiece.dirty_num; }
int HalfKAv2_hm::refresh_cost(const Position& pos) {
return pos.count<ALL_PIECES>();
}
int HalfKAv2_hm::refresh_cost(const Position& pos) { return pos.count<ALL_PIECES>(); }
bool HalfKAv2_hm::requires_refresh(const StateInfo* st, Color perspective) {
bool HalfKAv2_hm::requires_refresh(const StateInfo* st, Color perspective) {
return st->dirtyPiece.piece[0] == make_piece(perspective, KING);
}
}
} // namespace Stockfish::Eval::NNUE::Features
+43 -45
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -21,46 +21,47 @@
#ifndef NNUE_FEATURES_HALF_KA_V2_HM_H_INCLUDED
#define NNUE_FEATURES_HALF_KA_V2_HM_H_INCLUDED
#include <cstdint>
#include "../../misc.h"
#include "../../types.h"
#include "../nnue_common.h"
#include "../../evaluate.h"
#include "../../misc.h"
namespace Stockfish {
struct StateInfo;
struct StateInfo;
class Position;
}
namespace Stockfish::Eval::NNUE::Features {
// Feature HalfKAv2_hm: Combination of the position of own king
// and the position of pieces. Position mirrored such that king always on e..h files.
class HalfKAv2_hm {
// Feature HalfKAv2_hm: Combination of the position of own king and the
// position of pieces. Position mirrored such that king is always on e..h files.
class HalfKAv2_hm {
// unique number for each piece type on each square
// Unique number for each piece type on each square
enum {
PS_NONE = 0,
PS_W_PAWN = 0,
PS_B_PAWN = 1 * SQUARE_NB,
PS_W_KNIGHT = 2 * SQUARE_NB,
PS_B_KNIGHT = 3 * SQUARE_NB,
PS_W_BISHOP = 4 * SQUARE_NB,
PS_B_BISHOP = 5 * SQUARE_NB,
PS_W_ROOK = 6 * SQUARE_NB,
PS_B_ROOK = 7 * SQUARE_NB,
PS_W_QUEEN = 8 * SQUARE_NB,
PS_B_QUEEN = 9 * SQUARE_NB,
PS_KING = 10 * SQUARE_NB,
PS_NB = 11 * SQUARE_NB
PS_NONE = 0,
PS_W_PAWN = 0,
PS_B_PAWN = 1 * SQUARE_NB,
PS_W_KNIGHT = 2 * SQUARE_NB,
PS_B_KNIGHT = 3 * SQUARE_NB,
PS_W_BISHOP = 4 * SQUARE_NB,
PS_B_BISHOP = 5 * SQUARE_NB,
PS_W_ROOK = 6 * SQUARE_NB,
PS_B_ROOK = 7 * SQUARE_NB,
PS_W_QUEEN = 8 * SQUARE_NB,
PS_B_QUEEN = 9 * SQUARE_NB,
PS_KING = 10 * SQUARE_NB,
PS_NB = 11 * SQUARE_NB
};
static constexpr IndexType PieceSquareIndex[COLOR_NB][PIECE_NB] = {
// convention: W - us, B - them
// viewed from other side, W and B are reversed
{ PS_NONE, PS_W_PAWN, PS_W_KNIGHT, PS_W_BISHOP, PS_W_ROOK, PS_W_QUEEN, PS_KING, PS_NONE,
PS_NONE, PS_B_PAWN, PS_B_KNIGHT, PS_B_BISHOP, PS_B_ROOK, PS_B_QUEEN, PS_KING, PS_NONE },
{ PS_NONE, PS_B_PAWN, PS_B_KNIGHT, PS_B_BISHOP, PS_B_ROOK, PS_B_QUEEN, PS_KING, PS_NONE,
PS_NONE, PS_W_PAWN, PS_W_KNIGHT, PS_W_BISHOP, PS_W_ROOK, PS_W_QUEEN, PS_KING, PS_NONE }
};
// Convention: W - us, B - them
// Viewed from other side, W and B are reversed
{PS_NONE, PS_W_PAWN, PS_W_KNIGHT, PS_W_BISHOP, PS_W_ROOK, PS_W_QUEEN, PS_KING, PS_NONE,
PS_NONE, PS_B_PAWN, PS_B_KNIGHT, PS_B_BISHOP, PS_B_ROOK, PS_B_QUEEN, PS_KING, PS_NONE},
{PS_NONE, PS_B_PAWN, PS_B_KNIGHT, PS_B_BISHOP, PS_B_ROOK, PS_B_QUEEN, PS_KING, PS_NONE,
PS_NONE, PS_W_PAWN, PS_W_KNIGHT, PS_W_BISHOP, PS_W_ROOK, PS_W_QUEEN, PS_KING, PS_NONE}};
// Index of a feature for a given king position and another piece on some square
template<Color Perspective>
@@ -75,9 +76,10 @@ namespace Stockfish::Eval::NNUE::Features {
// Number of feature dimensions
static constexpr IndexType Dimensions =
static_cast<IndexType>(SQUARE_NB) * static_cast<IndexType>(PS_NB) / 2;
static_cast<IndexType>(SQUARE_NB) * static_cast<IndexType>(PS_NB) / 2;
#define B(v) (v * PS_NB)
// clang-format off
static constexpr int KingBuckets[COLOR_NB][SQUARE_NB] = {
{ B(28), B(29), B(30), B(31), B(31), B(30), B(29), B(28),
B(24), B(25), B(26), B(27), B(27), B(26), B(25), B(24),
@@ -96,8 +98,9 @@ namespace Stockfish::Eval::NNUE::Features {
B(24), B(25), B(26), B(27), B(27), B(26), B(25), B(24),
B(28), B(29), B(30), B(31), B(31), B(30), B(29), B(28) }
};
// clang-format on
#undef B
// clang-format off
// Orient a square according to perspective (rotates by 180 for black)
static constexpr int OrientTBL[COLOR_NB][SQUARE_NB] = {
{ SQ_H1, SQ_H1, SQ_H1, SQ_H1, SQ_A1, SQ_A1, SQ_A1, SQ_A1,
@@ -117,36 +120,31 @@ namespace Stockfish::Eval::NNUE::Features {
SQ_H8, SQ_H8, SQ_H8, SQ_H8, SQ_A8, SQ_A8, SQ_A8, SQ_A8,
SQ_H8, SQ_H8, SQ_H8, SQ_H8, SQ_A8, SQ_A8, SQ_A8, SQ_A8 }
};
// clang-format on
// Maximum number of simultaneously active features.
static constexpr IndexType MaxActiveDimensions = 32;
using IndexList = ValueList<IndexType, MaxActiveDimensions>;
using IndexList = ValueList<IndexType, MaxActiveDimensions>;
// Get a list of indices for active features
template<Color Perspective>
static void append_active_indices(
const Position& pos,
IndexList& active);
static void append_active_indices(const Position& pos, IndexList& active);
// Get a list of indices for recently changed features
template<Color Perspective>
static void append_changed_indices(
Square ksq,
const DirtyPiece& dp,
IndexList& removed,
IndexList& added
);
static void
append_changed_indices(Square ksq, const DirtyPiece& dp, IndexList& removed, IndexList& added);
// Returns the cost of updating one perspective, the most costly one.
// Assumes no refresh needed.
static int update_cost(const StateInfo* st);
static int refresh_cost(const Position& pos);
// Returns whether the change stored in this StateInfo means that
// a full accumulator refresh is required.
// Returns whether the change stored in this StateInfo means
// that a full accumulator refresh is required.
static bool requires_refresh(const StateInfo* st, Color perspective);
};
};
} // namespace Stockfish::Eval::NNUE::Features
#endif // #ifndef NNUE_FEATURES_HALF_KA_V2_HM_H_INCLUDED
#endif // #ifndef NNUE_FEATURES_HALF_KA_V2_HM_H_INCLUDED
+203 -458
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -21,33 +21,18 @@
#ifndef NNUE_LAYERS_AFFINE_TRANSFORM_H_INCLUDED
#define NNUE_LAYERS_AFFINE_TRANSFORM_H_INCLUDED
#include <cstdint>
#include <iostream>
#include <algorithm>
#include <type_traits>
#include "../nnue_common.h"
#include "simd.h"
/*
This file contains the definition for a fully connected layer (aka affine transform).
Two approaches are employed, depending on the sizes of the transform.
Approach 1 (a specialization for large inputs):
- used when the PaddedInputDimensions >= 128
- uses AVX512 if possible
- processes inputs in batches of 2*InputSimdWidth
- so in batches of 128 for AVX512
- the weight blocks of size InputSimdWidth are transposed such that
access is sequential
- N columns of the weight matrix are processed a time, where N
depends on the architecture (the amount of registers)
- accumulate + hadd is used
Approach 2 (a specialization for small inputs):
- used when the PaddedInputDimensions < 128
- expected use-case is for when PaddedInputDimensions == 32 and InputDimensions <= 32.
- that's why AVX512 is hard to implement
- expected use-case is small layers
- not optimized as well as the approach 1
- inputs are processed in chunks of 4, weights are respectively transposed
- accumulation happens directly to int32s
*/
@@ -55,129 +40,104 @@
namespace Stockfish::Eval::NNUE::Layers {
// Fallback implementation for older/other architectures.
// Identical for both approaches. Requires the input to be padded to at least 16 values.
// Requires the input to be padded to at least 16 values.
#if !defined(USE_SSSE3)
template <IndexType InputDimensions, IndexType PaddedInputDimensions, IndexType OutputDimensions>
static void affine_transform_non_ssse3(std::int32_t* output, const std::int8_t* weights, const std::int32_t* biases, const std::uint8_t* input)
{
# if defined(USE_SSE2)
template<IndexType InputDimensions, IndexType PaddedInputDimensions, IndexType OutputDimensions>
static void affine_transform_non_ssse3(std::int32_t* output,
const std::int8_t* weights,
const std::int32_t* biases,
const std::uint8_t* input) {
#if defined(USE_SSE2) || defined(USE_NEON_DOTPROD) || defined(USE_NEON)
#if defined(USE_SSE2)
// At least a multiple of 16, with SSE2.
constexpr IndexType NumChunks = ceil_to_multiple<IndexType>(InputDimensions, 16) / 16;
const __m128i Zeros = _mm_setzero_si128();
const auto inputVector = reinterpret_cast<const __m128i*>(input);
constexpr IndexType NumChunks = ceil_to_multiple<IndexType>(InputDimensions, 16) / 16;
const __m128i Zeros = _mm_setzero_si128();
const auto inputVector = reinterpret_cast<const __m128i*>(input);
# elif defined(USE_MMX)
constexpr IndexType NumChunks = ceil_to_multiple<IndexType>(InputDimensions, 8) / 8;
const __m64 Zeros = _mm_setzero_si64();
const auto inputVector = reinterpret_cast<const __m64*>(input);
#elif defined(USE_NEON_DOTPROD)
constexpr IndexType NumChunks = ceil_to_multiple<IndexType>(InputDimensions, 16) / 16;
const auto inputVector = reinterpret_cast<const int8x16_t*>(input);
# elif defined(USE_NEON_DOTPROD)
constexpr IndexType NumChunks = ceil_to_multiple<IndexType>(InputDimensions, 16) / 16;
const auto inputVector = reinterpret_cast<const int8x16_t*>(input);
#elif defined(USE_NEON)
constexpr IndexType NumChunks = ceil_to_multiple<IndexType>(InputDimensions, 16) / 16;
const auto inputVector = reinterpret_cast<const int8x8_t*>(input);
#endif
# elif defined(USE_NEON)
constexpr IndexType NumChunks = ceil_to_multiple<IndexType>(InputDimensions, 16) / 16;
const auto inputVector = reinterpret_cast<const int8x8_t*>(input);
# endif
for (IndexType i = 0; i < OutputDimensions; ++i)
{
const IndexType offset = i * PaddedInputDimensions;
for (IndexType i = 0; i < OutputDimensions; ++i) {
const IndexType offset = i * PaddedInputDimensions;
#if defined(USE_SSE2)
__m128i sumLo = _mm_cvtsi32_si128(biases[i]);
__m128i sumHi = Zeros;
const auto row = reinterpret_cast<const __m128i*>(&weights[offset]);
for (IndexType j = 0; j < NumChunks; ++j)
{
__m128i row_j = _mm_load_si128(&row[j]);
__m128i input_j = _mm_load_si128(&inputVector[j]);
__m128i extendedRowLo = _mm_srai_epi16(_mm_unpacklo_epi8(row_j, row_j), 8);
__m128i extendedRowHi = _mm_srai_epi16(_mm_unpackhi_epi8(row_j, row_j), 8);
__m128i extendedInputLo = _mm_unpacklo_epi8(input_j, Zeros);
__m128i extendedInputHi = _mm_unpackhi_epi8(input_j, Zeros);
__m128i productLo = _mm_madd_epi16(extendedRowLo, extendedInputLo);
__m128i productHi = _mm_madd_epi16(extendedRowHi, extendedInputHi);
sumLo = _mm_add_epi32(sumLo, productLo);
sumHi = _mm_add_epi32(sumHi, productHi);
}
__m128i sum = _mm_add_epi32(sumLo, sumHi);
__m128i sumHigh_64 = _mm_shuffle_epi32(sum, _MM_SHUFFLE(1, 0, 3, 2));
sum = _mm_add_epi32(sum, sumHigh_64);
__m128i sum_second_32 = _mm_shufflelo_epi16(sum, _MM_SHUFFLE(1, 0, 3, 2));
sum = _mm_add_epi32(sum, sum_second_32);
output[i] = _mm_cvtsi128_si32(sum);
# if defined(USE_SSE2)
__m128i sumLo = _mm_cvtsi32_si128(biases[i]);
__m128i sumHi = Zeros;
const auto row = reinterpret_cast<const __m128i*>(&weights[offset]);
for (IndexType j = 0; j < NumChunks; ++j) {
__m128i row_j = _mm_load_si128(&row[j]);
__m128i input_j = _mm_load_si128(&inputVector[j]);
__m128i extendedRowLo = _mm_srai_epi16(_mm_unpacklo_epi8(row_j, row_j), 8);
__m128i extendedRowHi = _mm_srai_epi16(_mm_unpackhi_epi8(row_j, row_j), 8);
__m128i extendedInputLo = _mm_unpacklo_epi8(input_j, Zeros);
__m128i extendedInputHi = _mm_unpackhi_epi8(input_j, Zeros);
__m128i productLo = _mm_madd_epi16(extendedRowLo, extendedInputLo);
__m128i productHi = _mm_madd_epi16(extendedRowHi, extendedInputHi);
sumLo = _mm_add_epi32(sumLo, productLo);
sumHi = _mm_add_epi32(sumHi, productHi);
}
__m128i sum = _mm_add_epi32(sumLo, sumHi);
__m128i sumHigh_64 = _mm_shuffle_epi32(sum, _MM_SHUFFLE(1, 0, 3, 2));
sum = _mm_add_epi32(sum, sumHigh_64);
__m128i sum_second_32 = _mm_shufflelo_epi16(sum, _MM_SHUFFLE(1, 0, 3, 2));
sum = _mm_add_epi32(sum, sum_second_32);
output[i] = _mm_cvtsi128_si32(sum);
#elif defined(USE_NEON_DOTPROD)
int32x4_t sum = {biases[i]};
const auto row = reinterpret_cast<const int8x16_t*>(&weights[offset]);
for (IndexType j = 0; j < NumChunks; ++j)
{
sum = vdotq_s32(sum, inputVector[j], row[j]);
}
output[i] = vaddvq_s32(sum);
# elif defined(USE_MMX)
__m64 sumLo = _mm_cvtsi32_si64(biases[i]);
__m64 sumHi = Zeros;
const auto row = reinterpret_cast<const __m64*>(&weights[offset]);
for (IndexType j = 0; j < NumChunks; ++j) {
__m64 row_j = row[j];
__m64 input_j = inputVector[j];
__m64 extendedRowLo = _mm_srai_pi16(_mm_unpacklo_pi8(row_j, row_j), 8);
__m64 extendedRowHi = _mm_srai_pi16(_mm_unpackhi_pi8(row_j, row_j), 8);
__m64 extendedInputLo = _mm_unpacklo_pi8(input_j, Zeros);
__m64 extendedInputHi = _mm_unpackhi_pi8(input_j, Zeros);
__m64 productLo = _mm_madd_pi16(extendedRowLo, extendedInputLo);
__m64 productHi = _mm_madd_pi16(extendedRowHi, extendedInputHi);
sumLo = _mm_add_pi32(sumLo, productLo);
sumHi = _mm_add_pi32(sumHi, productHi);
}
__m64 sum = _mm_add_pi32(sumLo, sumHi);
sum = _mm_add_pi32(sum, _mm_unpackhi_pi32(sum, sum));
output[i] = _mm_cvtsi64_si32(sum);
#elif defined(USE_NEON)
int32x4_t sum = {biases[i]};
const auto row = reinterpret_cast<const int8x8_t*>(&weights[offset]);
for (IndexType j = 0; j < NumChunks; ++j)
{
int16x8_t product = vmull_s8(inputVector[j * 2], row[j * 2]);
product = vmlal_s8(product, inputVector[j * 2 + 1], row[j * 2 + 1]);
sum = vpadalq_s16(sum, product);
}
output[i] = sum[0] + sum[1] + sum[2] + sum[3];
# elif defined(USE_NEON_DOTPROD)
int32x4_t sum = {biases[i]};
const auto row = reinterpret_cast<const int8x16_t*>(&weights[offset]);
for (IndexType j = 0; j < NumChunks; ++j) {
sum = vdotq_s32(sum, inputVector[j], row[j]);
}
output[i] = vaddvq_s32(sum);
# elif defined(USE_NEON)
int32x4_t sum = {biases[i]};
const auto row = reinterpret_cast<const int8x8_t*>(&weights[offset]);
for (IndexType j = 0; j < NumChunks; ++j) {
int16x8_t product = vmull_s8(inputVector[j * 2], row[j * 2]);
product = vmlal_s8(product, inputVector[j * 2 + 1], row[j * 2 + 1]);
sum = vpadalq_s16(sum, product);
}
output[i] = sum[0] + sum[1] + sum[2] + sum[3];
# else
std::int32_t sum = biases[i];
for (IndexType j = 0; j < InputDimensions; ++j) {
sum += weights[offset + j] * input[j];
}
output[i] = sum;
# endif
#endif
}
#else
std::memcpy(output, biases, sizeof(std::int32_t) * OutputDimensions);
# if defined(USE_MMX)
_mm_empty();
# endif
}
// Traverse weights in transpose order to take advantage of input sparsity
for (IndexType i = 0; i < InputDimensions; ++i)
if (input[i])
{
const std::int8_t* w = &weights[i];
const int in = input[i];
for (IndexType j = 0; j < OutputDimensions; ++j)
output[j] += w[j * PaddedInputDimensions] * in;
}
#endif
}
#endif
template <IndexType InDims, IndexType OutDims, typename Enabled = void>
class AffineTransform;
#if defined (USE_AVX512)
constexpr IndexType LargeInputSize = 2 * 64;
#else
constexpr IndexType LargeInputSize = std::numeric_limits<IndexType>::max();
#endif
// A specialization for large inputs
template <IndexType InDims, IndexType OutDims>
class AffineTransform<InDims, OutDims, std::enable_if_t<(ceil_to_multiple<IndexType>(InDims, MaxSimdWidth) >= LargeInputSize)>> {
template<IndexType InDims, IndexType OutDims>
class AffineTransform {
public:
// Input/output type
using InputType = std::uint8_t;
using InputType = std::uint8_t;
using OutputType = std::int32_t;
// Number of input/output dimensions
static constexpr IndexType InputDimensions = InDims;
static constexpr IndexType InputDimensions = InDims;
static constexpr IndexType OutputDimensions = OutDims;
static constexpr IndexType PaddedInputDimensions =
@@ -187,377 +147,162 @@ namespace Stockfish::Eval::NNUE::Layers {
using OutputBuffer = OutputType[PaddedOutputDimensions];
static_assert(PaddedInputDimensions >= LargeInputSize, "Something went wrong. This specialization (for large inputs) should not have been chosen.");
#if defined (USE_AVX512)
static constexpr IndexType InputSimdWidth = 64;
static constexpr IndexType MaxNumOutputRegs = 16;
#elif defined (USE_AVX2)
static constexpr IndexType InputSimdWidth = 32;
static constexpr IndexType MaxNumOutputRegs = 8;
#elif defined (USE_SSSE3)
static constexpr IndexType InputSimdWidth = 16;
static constexpr IndexType MaxNumOutputRegs = 8;
#elif defined (USE_NEON_DOTPROD)
static constexpr IndexType InputSimdWidth = 16;
static constexpr IndexType MaxNumOutputRegs = 8;
#elif defined (USE_NEON)
static constexpr IndexType InputSimdWidth = 8;
static constexpr IndexType MaxNumOutputRegs = 8;
#else
// The fallback implementation will not have permuted weights.
// We define these to avoid a lot of ifdefs later.
static constexpr IndexType InputSimdWidth = 1;
static constexpr IndexType MaxNumOutputRegs = 1;
#endif
// A big block is a region in the weight matrix of the size [PaddedInputDimensions, NumOutputRegs].
// A small block is a region of size [InputSimdWidth, 1]
static constexpr IndexType NumOutputRegs = std::min(MaxNumOutputRegs, OutputDimensions);
static constexpr IndexType SmallBlockSize = InputSimdWidth;
static constexpr IndexType BigBlockSize = NumOutputRegs * PaddedInputDimensions;
static constexpr IndexType NumSmallBlocksInBigBlock = BigBlockSize / SmallBlockSize;
static constexpr IndexType NumSmallBlocksPerOutput = PaddedInputDimensions / SmallBlockSize;
static constexpr IndexType NumBigBlocks = OutputDimensions / NumOutputRegs;
static_assert(OutputDimensions % NumOutputRegs == 0);
// Hash value embedded in the evaluation file
static constexpr std::uint32_t get_hash_value(std::uint32_t prevHash) {
std::uint32_t hashValue = 0xCC03DAE4u;
hashValue += OutputDimensions;
hashValue ^= prevHash >> 1;
hashValue ^= prevHash << 31;
return hashValue;
std::uint32_t hashValue = 0xCC03DAE4u;
hashValue += OutputDimensions;
hashValue ^= prevHash >> 1;
hashValue ^= prevHash << 31;
return hashValue;
}
/*
Transposes the small blocks within a block.
Effectively means that weights can be traversed sequentially during inference.
*/
static IndexType get_weight_index(IndexType i)
{
const IndexType smallBlock = (i / SmallBlockSize) % NumSmallBlocksInBigBlock;
const IndexType smallBlockCol = smallBlock / NumSmallBlocksPerOutput;
const IndexType smallBlockRow = smallBlock % NumSmallBlocksPerOutput;
const IndexType bigBlock = i / BigBlockSize;
const IndexType rest = i % SmallBlockSize;
const IndexType idx =
bigBlock * BigBlockSize
+ smallBlockRow * SmallBlockSize * NumOutputRegs
+ smallBlockCol * SmallBlockSize
+ rest;
return idx;
static constexpr IndexType get_weight_index_scrambled(IndexType i) {
return (i / 4) % (PaddedInputDimensions / 4) * OutputDimensions * 4
+ i / PaddedInputDimensions * 4 + i % 4;
}
// Read network parameters
bool read_parameters(std::istream& stream) {
read_little_endian<BiasType>(stream, biases, OutputDimensions);
for (IndexType i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
weights[get_weight_index(i)] = read_little_endian<WeightType>(stream);
return !stream.fail();
}
// Write network parameters
bool write_parameters(std::ostream& stream) const {
write_little_endian<BiasType>(stream, biases, OutputDimensions);
for (IndexType i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
write_little_endian<WeightType>(stream, weights[get_weight_index(i)]);
return !stream.fail();
}
// Forward propagation
const OutputType* propagate(
const InputType* input, OutputType* output) const {
#if defined (USE_AVX512)
using acc_vec_t = __m512i;
using bias_vec_t = __m128i;
using weight_vec_t = __m512i;
using in_vec_t = __m512i;
#define vec_zero _mm512_setzero_si512()
#define vec_add_dpbusd_32x2 Simd::m512_add_dpbusd_epi32x2
#define vec_hadd Simd::m512_hadd
#define vec_haddx4 Simd::m512_haddx4
#elif defined (USE_AVX2)
using acc_vec_t = __m256i;
using bias_vec_t = __m128i;
using weight_vec_t = __m256i;
using in_vec_t = __m256i;
#define vec_zero _mm256_setzero_si256()
#define vec_add_dpbusd_32x2 Simd::m256_add_dpbusd_epi32x2
#define vec_hadd Simd::m256_hadd
#define vec_haddx4 Simd::m256_haddx4
#elif defined (USE_SSSE3)
using acc_vec_t = __m128i;
using bias_vec_t = __m128i;
using weight_vec_t = __m128i;
using in_vec_t = __m128i;
#define vec_zero _mm_setzero_si128()
#define vec_add_dpbusd_32x2 Simd::m128_add_dpbusd_epi32x2
#define vec_hadd Simd::m128_hadd
#define vec_haddx4 Simd::m128_haddx4
#elif defined (USE_NEON_DOTPROD)
using acc_vec_t = int32x4_t;
using bias_vec_t = int32x4_t;
using weight_vec_t = int8x16_t;
using in_vec_t = int8x16_t;
#define vec_zero {0}
#define vec_add_dpbusd_32x2 Simd::dotprod_m128_add_dpbusd_epi32x2
#define vec_hadd Simd::neon_m128_hadd
#define vec_haddx4 Simd::neon_m128_haddx4
#elif defined (USE_NEON)
using acc_vec_t = int32x4_t;
using bias_vec_t = int32x4_t;
using weight_vec_t = int8x8_t;
using in_vec_t = int8x8_t;
#define vec_zero {0}
#define vec_add_dpbusd_32x2 Simd::neon_m128_add_dpbusd_epi32x2
#define vec_hadd Simd::neon_m128_hadd
#define vec_haddx4 Simd::neon_m128_haddx4
#endif
#if defined (USE_SSSE3) || defined (USE_NEON)
const in_vec_t* invec = reinterpret_cast<const in_vec_t*>(input);
// Perform accumulation to registers for each big block
for (IndexType bigBlock = 0; bigBlock < NumBigBlocks; ++bigBlock)
{
acc_vec_t acc[NumOutputRegs] = { vec_zero };
// Each big block has NumOutputRegs small blocks in each "row", one per register.
// We process two small blocks at a time to save on one addition without VNNI.
for (IndexType smallBlock = 0; smallBlock < NumSmallBlocksPerOutput; smallBlock += 2)
{
const weight_vec_t* weightvec =
reinterpret_cast<const weight_vec_t*>(
weights
+ bigBlock * BigBlockSize
+ smallBlock * SmallBlockSize * NumOutputRegs);
const in_vec_t in0 = invec[smallBlock + 0];
const in_vec_t in1 = invec[smallBlock + 1];
for (IndexType k = 0; k < NumOutputRegs; ++k)
vec_add_dpbusd_32x2(acc[k], in0, weightvec[k], in1, weightvec[k + NumOutputRegs]);
}
// Horizontally add all accumulators.
if constexpr (NumOutputRegs % 4 == 0)
{
bias_vec_t* outputvec = reinterpret_cast<bias_vec_t*>(output);
const bias_vec_t* biasvec = reinterpret_cast<const bias_vec_t*>(biases);
for (IndexType k = 0; k < NumOutputRegs; k += 4)
{
const IndexType idx = (bigBlock * NumOutputRegs + k) / 4;
outputvec[idx] = vec_haddx4(acc[k+0], acc[k+1], acc[k+2], acc[k+3], biasvec[idx]);
}
}
else
{
for (IndexType k = 0; k < NumOutputRegs; ++k)
{
const IndexType idx = (bigBlock * NumOutputRegs + k);
output[idx] = vec_hadd(acc[k], biases[idx]);
}
}
}
# undef vec_zero
# undef vec_add_dpbusd_32x2
# undef vec_hadd
# undef vec_haddx4
static constexpr IndexType get_weight_index(IndexType i) {
#if defined(USE_SSSE3)
return get_weight_index_scrambled(i);
#else
// Use old implementation for the other architectures.
affine_transform_non_ssse3<
InputDimensions,
PaddedInputDimensions,
OutputDimensions>(output, weights, biases, input);
#endif
return output;
}
private:
using BiasType = OutputType;
using WeightType = std::int8_t;
alignas(CacheLineSize) BiasType biases[OutputDimensions];
alignas(CacheLineSize) WeightType weights[OutputDimensions * PaddedInputDimensions];
};
// A specialization for small inputs
template <IndexType InDims, IndexType OutDims>
class AffineTransform<InDims, OutDims, std::enable_if_t<(ceil_to_multiple<IndexType>(InDims, MaxSimdWidth) < LargeInputSize)>> {
public:
// Input/output type
// Input/output type
using InputType = std::uint8_t;
using OutputType = std::int32_t;
// Number of input/output dimensions
static constexpr IndexType InputDimensions = InDims;
static constexpr IndexType OutputDimensions = OutDims;
static constexpr IndexType PaddedInputDimensions =
ceil_to_multiple<IndexType>(InputDimensions, MaxSimdWidth);
static constexpr IndexType PaddedOutputDimensions =
ceil_to_multiple<IndexType>(OutputDimensions, MaxSimdWidth);
using OutputBuffer = OutputType[PaddedOutputDimensions];
static_assert(PaddedInputDimensions < LargeInputSize, "Something went wrong. This specialization (for small inputs) should not have been chosen.");
// Hash value embedded in the evaluation file
static constexpr std::uint32_t get_hash_value(std::uint32_t prevHash) {
std::uint32_t hashValue = 0xCC03DAE4u;
hashValue += OutputDimensions;
hashValue ^= prevHash >> 1;
hashValue ^= prevHash << 31;
return hashValue;
}
static IndexType get_weight_index_scrambled(IndexType i)
{
return
(i / 4) % (PaddedInputDimensions / 4) * OutputDimensions * 4 +
i / PaddedInputDimensions * 4 +
i % 4;
}
static IndexType get_weight_index(IndexType i)
{
#if defined (USE_SSSE3)
return get_weight_index_scrambled(i);
#else
return i;
return i;
#endif
}
// Read network parameters
bool read_parameters(std::istream& stream) {
read_little_endian<BiasType>(stream, biases, OutputDimensions);
for (IndexType i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
weights[get_weight_index(i)] = read_little_endian<WeightType>(stream);
read_little_endian<BiasType>(stream, biases, OutputDimensions);
for (IndexType i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
weights[get_weight_index(i)] = read_little_endian<WeightType>(stream);
return !stream.fail();
return !stream.fail();
}
// Write network parameters
bool write_parameters(std::ostream& stream) const {
write_little_endian<BiasType>(stream, biases, OutputDimensions);
write_little_endian<BiasType>(stream, biases, OutputDimensions);
for (IndexType i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
write_little_endian<WeightType>(stream, weights[get_weight_index(i)]);
for (IndexType i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
write_little_endian<WeightType>(stream, weights[get_weight_index(i)]);
return !stream.fail();
return !stream.fail();
}
// Forward propagation
const OutputType* propagate(
const InputType* input, OutputType* output) const {
void propagate(const InputType* input, OutputType* output) const {
#if defined (USE_AVX512)
using vec_t = __m512i;
#define vec_setzero _mm512_setzero_si512
#define vec_set_32 _mm512_set1_epi32
#define vec_add_dpbusd_32 Simd::m512_add_dpbusd_epi32
#define vec_add_dpbusd_32x2 Simd::m512_add_dpbusd_epi32x2
#define vec_hadd Simd::m512_hadd
#elif defined (USE_AVX2)
using vec_t = __m256i;
#define vec_setzero _mm256_setzero_si256
#define vec_set_32 _mm256_set1_epi32
#define vec_add_dpbusd_32 Simd::m256_add_dpbusd_epi32
#define vec_add_dpbusd_32x2 Simd::m256_add_dpbusd_epi32x2
#define vec_hadd Simd::m256_hadd
#elif defined (USE_SSSE3)
using vec_t = __m128i;
#define vec_setzero _mm_setzero_si128
#define vec_set_32 _mm_set1_epi32
#define vec_add_dpbusd_32 Simd::m128_add_dpbusd_epi32
#define vec_add_dpbusd_32x2 Simd::m128_add_dpbusd_epi32x2
#define vec_hadd Simd::m128_hadd
#endif
#if defined(USE_SSSE3)
#if defined (USE_SSSE3)
const auto inputVector = reinterpret_cast<const vec_t*>(input);
static constexpr IndexType OutputSimdWidth = sizeof(vec_t) / sizeof(OutputType);
static_assert(OutputDimensions % OutputSimdWidth == 0 || OutputDimensions == 1);
if constexpr (OutputDimensions % OutputSimdWidth == 0)
{
constexpr IndexType NumChunks = ceil_to_multiple<IndexType>(InputDimensions, 8) / 4;
constexpr IndexType NumRegs = OutputDimensions / OutputSimdWidth;
const auto input32 = reinterpret_cast<const std::int32_t*>(input);
const vec_t* biasvec = reinterpret_cast<const vec_t*>(biases);
vec_t acc[NumRegs];
for (IndexType k = 0; k < NumRegs; ++k)
acc[k] = biasvec[k];
for (IndexType i = 0; i < NumChunks; i += 2)
if constexpr (OutputDimensions > 1)
{
const vec_t in0 = vec_set_32(input32[i + 0]);
const vec_t in1 = vec_set_32(input32[i + 1]);
const auto col0 = reinterpret_cast<const vec_t*>(&weights[(i + 0) * OutputDimensions * 4]);
const auto col1 = reinterpret_cast<const vec_t*>(&weights[(i + 1) * OutputDimensions * 4]);
for (IndexType k = 0; k < NumRegs; ++k)
vec_add_dpbusd_32x2(acc[k], in0, col0[k], in1, col1[k]);
#if defined(USE_AVX512)
using vec_t = __m512i;
#define vec_setzero _mm512_setzero_si512
#define vec_set_32 _mm512_set1_epi32
#define vec_add_dpbusd_32 Simd::m512_add_dpbusd_epi32
#define vec_hadd Simd::m512_hadd
#elif defined(USE_AVX2)
using vec_t = __m256i;
#define vec_setzero _mm256_setzero_si256
#define vec_set_32 _mm256_set1_epi32
#define vec_add_dpbusd_32 Simd::m256_add_dpbusd_epi32
#define vec_hadd Simd::m256_hadd
#elif defined(USE_SSSE3)
using vec_t = __m128i;
#define vec_setzero _mm_setzero_si128
#define vec_set_32 _mm_set1_epi32
#define vec_add_dpbusd_32 Simd::m128_add_dpbusd_epi32
#define vec_hadd Simd::m128_hadd
#endif
static constexpr IndexType OutputSimdWidth = sizeof(vec_t) / sizeof(OutputType);
static_assert(OutputDimensions % OutputSimdWidth == 0);
constexpr IndexType NumChunks = ceil_to_multiple<IndexType>(InputDimensions, 8) / 4;
constexpr IndexType NumRegs = OutputDimensions / OutputSimdWidth;
const auto input32 = reinterpret_cast<const std::int32_t*>(input);
const vec_t* biasvec = reinterpret_cast<const vec_t*>(biases);
vec_t acc[NumRegs];
for (IndexType k = 0; k < NumRegs; ++k)
acc[k] = biasvec[k];
for (IndexType i = 0; i < NumChunks; ++i)
{
const vec_t in0 = vec_set_32(input32[i]);
const auto col0 =
reinterpret_cast<const vec_t*>(&weights[i * OutputDimensions * 4]);
for (IndexType k = 0; k < NumRegs; ++k)
vec_add_dpbusd_32(acc[k], in0, col0[k]);
}
vec_t* outptr = reinterpret_cast<vec_t*>(output);
for (IndexType k = 0; k < NumRegs; ++k)
outptr[k] = acc[k];
#undef vec_setzero
#undef vec_set_32
#undef vec_add_dpbusd_32
#undef vec_hadd
}
vec_t* outptr = reinterpret_cast<vec_t*>(output);
for (IndexType k = 0; k < NumRegs; ++k)
outptr[k] = acc[k];
}
else if constexpr (OutputDimensions == 1)
{
constexpr IndexType NumChunks = PaddedInputDimensions / SimdWidth;
vec_t sum0 = vec_setzero();
const auto row0 = reinterpret_cast<const vec_t*>(&weights[0]);
for (int j = 0; j < (int)NumChunks; ++j)
else if constexpr (OutputDimensions == 1)
{
const vec_t in = inputVector[j];
vec_add_dpbusd_32(sum0, in, row0[j]);
}
output[0] = vec_hadd(sum0, biases[0]);
}
# undef vec_setzero
# undef vec_set_32
# undef vec_add_dpbusd_32
# undef vec_add_dpbusd_32x2
# undef vec_hadd
// We cannot use AVX512 for the last layer because there are only 32 inputs
// and the buffer is not padded to 64 elements.
#if defined(USE_AVX2)
using vec_t = __m256i;
#define vec_setzero _mm256_setzero_si256
#define vec_set_32 _mm256_set1_epi32
#define vec_add_dpbusd_32 Simd::m256_add_dpbusd_epi32
#define vec_hadd Simd::m256_hadd
#elif defined(USE_SSSE3)
using vec_t = __m128i;
#define vec_setzero _mm_setzero_si128
#define vec_set_32 _mm_set1_epi32
#define vec_add_dpbusd_32 Simd::m128_add_dpbusd_epi32
#define vec_hadd Simd::m128_hadd
#endif
const auto inputVector = reinterpret_cast<const vec_t*>(input);
static constexpr IndexType InputSimdWidth = sizeof(vec_t) / sizeof(InputType);
static_assert(PaddedInputDimensions % InputSimdWidth == 0);
constexpr IndexType NumChunks = PaddedInputDimensions / InputSimdWidth;
vec_t sum0 = vec_setzero();
const auto row0 = reinterpret_cast<const vec_t*>(&weights[0]);
for (int j = 0; j < int(NumChunks); ++j)
{
const vec_t in = inputVector[j];
vec_add_dpbusd_32(sum0, in, row0[j]);
}
output[0] = vec_hadd(sum0, biases[0]);
#undef vec_setzero
#undef vec_set_32
#undef vec_add_dpbusd_32
#undef vec_hadd
}
#else
// Use old implementation for the other architectures.
affine_transform_non_ssse3<
InputDimensions,
PaddedInputDimensions,
OutputDimensions>(output, weights, biases, input);
// Use old implementation for the other architectures.
affine_transform_non_ssse3<InputDimensions, PaddedInputDimensions, OutputDimensions>(
output, weights, biases, input);
#endif
return output;
}
private:
using BiasType = OutputType;
using BiasType = OutputType;
using WeightType = std::int8_t;
alignas(CacheLineSize) BiasType biases[OutputDimensions];
alignas(CacheLineSize) WeightType weights[OutputDimensions * PaddedInputDimensions];
};
};
} // namespace Stockfish::Eval::NNUE::Layers
#endif // #ifndef NNUE_LAYERS_AFFINE_TRANSFORM_H_INCLUDED
#endif // #ifndef NNUE_LAYERS_AFFINE_TRANSFORM_H_INCLUDED
+167 -175
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -21,10 +21,12 @@
#ifndef NNUE_LAYERS_AFFINE_TRANSFORM_SPARSE_INPUT_H_INCLUDED
#define NNUE_LAYERS_AFFINE_TRANSFORM_SPARSE_INPUT_H_INCLUDED
#include <iostream>
#include <algorithm>
#include <array>
#include <type_traits>
#include <cstdint>
#include <iostream>
#include "../../bitboard.h"
#include "../nnue_common.h"
#include "affine_transform.h"
#include "simd.h"
@@ -34,130 +36,119 @@
*/
namespace Stockfish::Eval::NNUE::Layers {
#if defined(__GNUC__) // GCC, Clang, ICC
static inline IndexType lsb_(std::uint32_t b) {
assert(b);
return IndexType(__builtin_ctzl(b));
}
#elif defined(_MSC_VER) // MSVC
static inline IndexType lsb_(std::uint32_t b) {
assert(b);
unsigned long idx;
_BitScanForward(&idx, b);
return (IndexType) idx;
}
#else // Compiler is neither GCC nor MSVC compatible
#error "Compiler not supported."
#endif
#if defined(USE_SSSE3)
alignas(CacheLineSize) static inline const std::array<std::array<std::uint16_t, 8>, 256> lookup_indices = [](){
std::array<std::array<std::uint16_t, 8>, 256> v{};
for (int i = 0; i < 256; ++i)
{
int j = i;
int k = 0;
while(j)
#if (USE_SSSE3 | (USE_NEON >= 8))
alignas(CacheLineSize) static inline const
std::array<std::array<std::uint16_t, 8>, 256> lookup_indices = []() {
std::array<std::array<std::uint16_t, 8>, 256> v{};
for (unsigned i = 0; i < 256; ++i)
{
const IndexType lsbIndex = lsb_(std::uint32_t(j));
j &= j - 1;
v[i][k] = lsbIndex;
++k;
std::uint64_t j = i, k = 0;
while (j)
v[i][k++] = pop_lsb(j);
}
}
return v;
}();
alignas(CacheLineSize) static inline const std::array<unsigned, 256> lookup_count = [](){
std::array<unsigned, 256> v;
for (int i = 0; i < 256; ++i)
{
int j = i;
int k = 0;
while(j)
{
j &= j - 1;
++k;
}
v[i] = k;
}
return v;
return v;
}();
// Find indices of nonzero numbers in an int32_t array
template<const IndexType InputDimensions>
void find_nnz(const std::int32_t* input, std::uint16_t* out, IndexType& count_out) {
#if defined (USE_AVX512)
// Find indices of nonzero numbers in an int32_t array
template<const IndexType InputDimensions>
void find_nnz(const std::int32_t* input, std::uint16_t* out, IndexType& count_out) {
#if defined(USE_SSSE3)
#if defined(USE_AVX512)
using vec_t = __m512i;
#define vec_nnz(a) _mm512_cmpgt_epi32_mask(a, _mm512_setzero_si512())
#elif defined (USE_AVX2)
#define vec_nnz(a) _mm512_cmpgt_epi32_mask(a, _mm512_setzero_si512())
#elif defined(USE_AVX2)
using vec_t = __m256i;
#define vec_nnz(a) _mm256_movemask_ps(_mm256_castsi256_ps(_mm256_cmpgt_epi32(a, _mm256_setzero_si256())))
#elif defined (USE_SSSE3)
#if defined(USE_VNNI) && !defined(USE_AVXVNNI)
#define vec_nnz(a) _mm256_cmpgt_epi32_mask(a, _mm256_setzero_si256())
#else
#define vec_nnz(a) \
_mm256_movemask_ps( \
_mm256_castsi256_ps(_mm256_cmpgt_epi32(a, _mm256_setzero_si256())))
#endif
#elif defined(USE_SSSE3)
using vec_t = __m128i;
#define vec_nnz(a) _mm_movemask_ps(_mm_castsi128_ps(_mm_cmpgt_epi32(a, _mm_setzero_si128())))
#endif
#define vec_nnz(a) \
_mm_movemask_ps(_mm_castsi128_ps(_mm_cmpgt_epi32(a, _mm_setzero_si128())))
#endif
using vec128_t = __m128i;
#define vec128_zero _mm_setzero_si128()
#define vec128_set_16(a) _mm_set1_epi16(a)
#define vec128_load(a) _mm_load_si128(a)
#define vec128_storeu(a, b) _mm_storeu_si128(a, b)
#define vec128_add(a, b) _mm_add_epi16(a, b)
#elif defined(USE_NEON)
using vec_t = uint32x4_t;
static const std::uint32_t Mask[4] = {1, 2, 4, 8};
#define vec_nnz(a) vaddvq_u32(vandq_u32(vtstq_u32(a, a), vld1q_u32(Mask)))
using vec128_t = uint16x8_t;
#define vec128_zero vdupq_n_u16(0)
#define vec128_set_16(a) vdupq_n_u16(a)
#define vec128_load(a) vld1q_u16(reinterpret_cast<const std::uint16_t*>(a))
#define vec128_storeu(a, b) vst1q_u16(reinterpret_cast<std::uint16_t*>(a), b)
#define vec128_add(a, b) vaddq_u16(a, b)
#endif
constexpr IndexType InputSimdWidth = sizeof(vec_t) / sizeof(std::int32_t);
// Inputs are processed InputSimdWidth at a time and outputs are processed 8 at a time so we process in chunks of max(InputSimdWidth, 8)
constexpr IndexType ChunkSize = std::max<IndexType>(InputSimdWidth, 8);
constexpr IndexType NumChunks = InputDimensions / ChunkSize;
constexpr IndexType InputsPerChunk = ChunkSize / InputSimdWidth;
constexpr IndexType ChunkSize = std::max<IndexType>(InputSimdWidth, 8);
constexpr IndexType NumChunks = InputDimensions / ChunkSize;
constexpr IndexType InputsPerChunk = ChunkSize / InputSimdWidth;
constexpr IndexType OutputsPerChunk = ChunkSize / 8;
const auto inputVector = reinterpret_cast<const vec_t*>(input);
IndexType count = 0;
__m128i base = _mm_set1_epi16(0);
__m128i increment = _mm_set1_epi16(8);
const auto inputVector = reinterpret_cast<const vec_t*>(input);
IndexType count = 0;
vec128_t base = vec128_zero;
const vec128_t increment = vec128_set_16(8);
for (IndexType i = 0; i < NumChunks; ++i)
{
// bitmask of nonzero values in this chunk
unsigned nnz = 0;
for (IndexType j = 0; j < InputsPerChunk; ++j)
{
const vec_t inputChunk = inputVector[i * InputsPerChunk + j];
nnz |= (unsigned)vec_nnz(inputChunk) << (j * InputSimdWidth);
}
for (IndexType j = 0; j < OutputsPerChunk; ++j)
{
const auto lookup = (nnz >> (j * 8)) & 0xFF;
const auto offsets = _mm_loadu_si128(reinterpret_cast<const __m128i*>(&lookup_indices[lookup]));
_mm_storeu_si128(reinterpret_cast<__m128i*>(out + count), _mm_add_epi16(base, offsets));
count += lookup_count[lookup];
base = _mm_add_epi16(base, increment);
}
// bitmask of nonzero values in this chunk
unsigned nnz = 0;
for (IndexType j = 0; j < InputsPerChunk; ++j)
{
const vec_t inputChunk = inputVector[i * InputsPerChunk + j];
nnz |= unsigned(vec_nnz(inputChunk)) << (j * InputSimdWidth);
}
for (IndexType j = 0; j < OutputsPerChunk; ++j)
{
const auto lookup = (nnz >> (j * 8)) & 0xFF;
const auto offsets =
vec128_load(reinterpret_cast<const vec128_t*>(&lookup_indices[lookup]));
vec128_storeu(reinterpret_cast<vec128_t*>(out + count), vec128_add(base, offsets));
count += popcount(lookup);
base = vec128_add(base, increment);
}
}
count_out = count;
}
# undef vec_nnz
}
#undef vec_nnz
#undef vec128_zero
#undef vec128_set_16
#undef vec128_load
#undef vec128_storeu
#undef vec128_add
#endif
// Sparse input implementation
template <IndexType InDims, IndexType OutDims>
class AffineTransformSparseInput {
// Sparse input implementation
template<IndexType InDims, IndexType OutDims>
class AffineTransformSparseInput {
public:
// Input/output type
// Input/output type
using InputType = std::uint8_t;
using InputType = std::uint8_t;
using OutputType = std::int32_t;
// Number of input/output dimensions
static constexpr IndexType InputDimensions = InDims;
static constexpr IndexType InputDimensions = InDims;
static constexpr IndexType OutputDimensions = OutDims;
static_assert(OutputDimensions % 16 == 0, "Only implemented for OutputDimensions divisible by 16.");
static_assert(OutputDimensions % 16 == 0,
"Only implemented for OutputDimensions divisible by 16.");
static constexpr IndexType PaddedInputDimensions =
ceil_to_multiple<IndexType>(InputDimensions, MaxSimdWidth);
static constexpr IndexType PaddedOutputDimensions =
ceil_to_multiple<IndexType>(OutputDimensions, MaxSimdWidth);
#if defined (USE_SSSE3)
#if (USE_SSSE3 | (USE_NEON >= 8))
static constexpr IndexType ChunkSize = 4;
#else
static constexpr IndexType ChunkSize = 1;
@@ -167,120 +158,121 @@ namespace Stockfish::Eval::NNUE::Layers {
// Hash value embedded in the evaluation file
static constexpr std::uint32_t get_hash_value(std::uint32_t prevHash) {
std::uint32_t hashValue = 0xCC03DAE4u;
hashValue += OutputDimensions;
hashValue ^= prevHash >> 1;
hashValue ^= prevHash << 31;
return hashValue;
std::uint32_t hashValue = 0xCC03DAE4u;
hashValue += OutputDimensions;
hashValue ^= prevHash >> 1;
hashValue ^= prevHash << 31;
return hashValue;
}
static IndexType get_weight_index_scrambled(IndexType i)
{
return
(i / ChunkSize) % (PaddedInputDimensions / ChunkSize) * OutputDimensions * ChunkSize +
i / PaddedInputDimensions * ChunkSize +
i % ChunkSize;
static constexpr IndexType get_weight_index_scrambled(IndexType i) {
return (i / ChunkSize) % (PaddedInputDimensions / ChunkSize) * OutputDimensions * ChunkSize
+ i / PaddedInputDimensions * ChunkSize + i % ChunkSize;
}
static IndexType get_weight_index(IndexType i)
{
#if defined (USE_SSSE3)
return get_weight_index_scrambled(i);
static constexpr IndexType get_weight_index(IndexType i) {
#if (USE_SSSE3 | (USE_NEON >= 8))
return get_weight_index_scrambled(i);
#else
return i;
return i;
#endif
}
// Read network parameters
bool read_parameters(std::istream& stream) {
read_little_endian<BiasType>(stream, biases, OutputDimensions);
for (IndexType i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
weights[get_weight_index(i)] = read_little_endian<WeightType>(stream);
read_little_endian<BiasType>(stream, biases, OutputDimensions);
for (IndexType i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
weights[get_weight_index(i)] = read_little_endian<WeightType>(stream);
return !stream.fail();
return !stream.fail();
}
// Write network parameters
bool write_parameters(std::ostream& stream) const {
write_little_endian<BiasType>(stream, biases, OutputDimensions);
write_little_endian<BiasType>(stream, biases, OutputDimensions);
for (IndexType i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
write_little_endian<WeightType>(stream, weights[get_weight_index(i)]);
for (IndexType i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
write_little_endian<WeightType>(stream, weights[get_weight_index(i)]);
return !stream.fail();
return !stream.fail();
}
// Forward propagation
const OutputType* propagate(
const InputType* input, OutputType* output) const {
void propagate(const InputType* input, OutputType* output) const {
#if defined (USE_SSSE3)
#if defined (USE_AVX512)
using vec_t = __m512i;
#define vec_setzero _mm512_setzero_si512
#define vec_set_32 _mm512_set1_epi32
#define vec_add_dpbusd_32 Simd::m512_add_dpbusd_epi32
#elif defined (USE_AVX2)
using vec_t = __m256i;
#define vec_setzero _mm256_setzero_si256
#define vec_set_32 _mm256_set1_epi32
#define vec_add_dpbusd_32 Simd::m256_add_dpbusd_epi32
#elif defined (USE_SSSE3)
using vec_t = __m128i;
#define vec_setzero _mm_setzero_si128
#define vec_set_32 _mm_set1_epi32
#define vec_add_dpbusd_32 Simd::m128_add_dpbusd_epi32
#endif
static constexpr IndexType OutputSimdWidth = sizeof(vec_t) / sizeof(OutputType);
#if (USE_SSSE3 | (USE_NEON >= 8))
#if defined(USE_AVX512)
using invec_t = __m512i;
using outvec_t = __m512i;
#define vec_set_32 _mm512_set1_epi32
#define vec_add_dpbusd_32 Simd::m512_add_dpbusd_epi32
#elif defined(USE_AVX2)
using invec_t = __m256i;
using outvec_t = __m256i;
#define vec_set_32 _mm256_set1_epi32
#define vec_add_dpbusd_32 Simd::m256_add_dpbusd_epi32
#elif defined(USE_SSSE3)
using invec_t = __m128i;
using outvec_t = __m128i;
#define vec_set_32 _mm_set1_epi32
#define vec_add_dpbusd_32 Simd::m128_add_dpbusd_epi32
#elif defined(USE_NEON_DOTPROD)
using invec_t = int8x16_t;
using outvec_t = int32x4_t;
#define vec_set_32(a) vreinterpretq_s8_u32(vdupq_n_u32(a))
#define vec_add_dpbusd_32 Simd::dotprod_m128_add_dpbusd_epi32
#elif defined(USE_NEON)
using invec_t = int8x16_t;
using outvec_t = int32x4_t;
#define vec_set_32(a) vreinterpretq_s8_u32(vdupq_n_u32(a))
#define vec_add_dpbusd_32 Simd::neon_m128_add_dpbusd_epi32
#endif
static constexpr IndexType OutputSimdWidth = sizeof(outvec_t) / sizeof(OutputType);
constexpr IndexType NumChunks = ceil_to_multiple<IndexType>(InputDimensions, 8) / ChunkSize;
constexpr IndexType NumRegs = OutputDimensions / OutputSimdWidth;
std::uint16_t nnz[NumChunks];
IndexType count;
constexpr IndexType NumChunks = ceil_to_multiple<IndexType>(InputDimensions, 8) / ChunkSize;
constexpr IndexType NumRegs = OutputDimensions / OutputSimdWidth;
std::uint16_t nnz[NumChunks];
IndexType count;
const auto input32 = reinterpret_cast<const std::int32_t*>(input);
const auto input32 = reinterpret_cast<const std::int32_t*>(input);
// Find indices of nonzero 32bit blocks
find_nnz<NumChunks>(input32, nnz, count);
// Find indices of nonzero 32-bit blocks
find_nnz<NumChunks>(input32, nnz, count);
const vec_t* biasvec = reinterpret_cast<const vec_t*>(biases);
vec_t acc[NumRegs];
for (IndexType k = 0; k < NumRegs; ++k)
acc[k] = biasvec[k];
for (IndexType j = 0; j < count; ++j)
{
const auto i = nnz[j];
const vec_t in = vec_set_32(input32[i]);
const auto col = reinterpret_cast<const vec_t*>(&weights[i * OutputDimensions * ChunkSize]);
const outvec_t* biasvec = reinterpret_cast<const outvec_t*>(biases);
outvec_t acc[NumRegs];
for (IndexType k = 0; k < NumRegs; ++k)
vec_add_dpbusd_32(acc[k], in, col[k]);
}
acc[k] = biasvec[k];
vec_t* outptr = reinterpret_cast<vec_t*>(output);
for (IndexType k = 0; k < NumRegs; ++k)
outptr[k] = acc[k];
# undef vec_setzero
# undef vec_set_32
# undef vec_add_dpbusd_32
for (IndexType j = 0; j < count; ++j)
{
const auto i = nnz[j];
const invec_t in = vec_set_32(input32[i]);
const auto col =
reinterpret_cast<const invec_t*>(&weights[i * OutputDimensions * ChunkSize]);
for (IndexType k = 0; k < NumRegs; ++k)
vec_add_dpbusd_32(acc[k], in, col[k]);
}
outvec_t* outptr = reinterpret_cast<outvec_t*>(output);
for (IndexType k = 0; k < NumRegs; ++k)
outptr[k] = acc[k];
#undef vec_set_32
#undef vec_add_dpbusd_32
#else
// Use dense implementation for the other architectures.
affine_transform_non_ssse3<
InputDimensions,
PaddedInputDimensions,
OutputDimensions>(output, weights, biases, input);
// Use dense implementation for the other architectures.
affine_transform_non_ssse3<InputDimensions, PaddedInputDimensions, OutputDimensions>(
output, weights, biases, input);
#endif
return output;
}
private:
using BiasType = OutputType;
using BiasType = OutputType;
using WeightType = std::int8_t;
alignas(CacheLineSize) BiasType biases[OutputDimensions];
alignas(CacheLineSize) WeightType weights[OutputDimensions * PaddedInputDimensions];
};
};
} // namespace Stockfish::Eval::NNUE::Layers
#endif // #ifndef NNUE_LAYERS_AFFINE_TRANSFORM_SPARSE_INPUT_H_INCLUDED
#endif // #ifndef NNUE_LAYERS_AFFINE_TRANSFORM_SPARSE_INPUT_H_INCLUDED
+112 -124
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -21,160 +21,148 @@
#ifndef NNUE_LAYERS_CLIPPED_RELU_H_INCLUDED
#define NNUE_LAYERS_CLIPPED_RELU_H_INCLUDED
#include <algorithm>
#include <cstdint>
#include <iosfwd>
#include "../nnue_common.h"
namespace Stockfish::Eval::NNUE::Layers {
// Clipped ReLU
template <IndexType InDims>
class ClippedReLU {
// Clipped ReLU
template<IndexType InDims>
class ClippedReLU {
public:
// Input/output type
using InputType = std::int32_t;
using InputType = std::int32_t;
using OutputType = std::uint8_t;
// Number of input/output dimensions
static constexpr IndexType InputDimensions = InDims;
static constexpr IndexType InputDimensions = InDims;
static constexpr IndexType OutputDimensions = InputDimensions;
static constexpr IndexType PaddedOutputDimensions =
ceil_to_multiple<IndexType>(OutputDimensions, 32);
ceil_to_multiple<IndexType>(OutputDimensions, 32);
using OutputBuffer = OutputType[PaddedOutputDimensions];
// Hash value embedded in the evaluation file
static constexpr std::uint32_t get_hash_value(std::uint32_t prevHash) {
std::uint32_t hashValue = 0x538D24C7u;
hashValue += prevHash;
return hashValue;
std::uint32_t hashValue = 0x538D24C7u;
hashValue += prevHash;
return hashValue;
}
// Read network parameters
bool read_parameters(std::istream&) {
return true;
}
bool read_parameters(std::istream&) { return true; }
// Write network parameters
bool write_parameters(std::ostream&) const {
return true;
}
bool write_parameters(std::ostream&) const { return true; }
// Forward propagation
const OutputType* propagate(
const InputType* input, OutputType* output) const {
void propagate(const InputType* input, OutputType* output) const {
#if defined(USE_AVX2)
if constexpr (InputDimensions % SimdWidth == 0) {
#if defined(USE_AVX2)
if constexpr (InputDimensions % SimdWidth == 0)
{
constexpr IndexType NumChunks = InputDimensions / SimdWidth;
const __m256i Zero = _mm256_setzero_si256();
const __m256i Offsets = _mm256_set_epi32(7, 3, 6, 2, 5, 1, 4, 0);
const auto in = reinterpret_cast<const __m256i*>(input);
const auto out = reinterpret_cast<__m256i*>(output);
for (IndexType i = 0; i < NumChunks; ++i)
{
const __m256i words0 =
_mm256_srai_epi16(_mm256_packs_epi32(_mm256_load_si256(&in[i * 4 + 0]),
_mm256_load_si256(&in[i * 4 + 1])),
WeightScaleBits);
const __m256i words1 =
_mm256_srai_epi16(_mm256_packs_epi32(_mm256_load_si256(&in[i * 4 + 2]),
_mm256_load_si256(&in[i * 4 + 3])),
WeightScaleBits);
_mm256_store_si256(
&out[i], _mm256_permutevar8x32_epi32(
_mm256_max_epi8(_mm256_packs_epi16(words0, words1), Zero), Offsets));
}
}
else
{
constexpr IndexType NumChunks = InputDimensions / (SimdWidth / 2);
const __m128i Zero = _mm_setzero_si128();
const auto in = reinterpret_cast<const __m128i*>(input);
const auto out = reinterpret_cast<__m128i*>(output);
for (IndexType i = 0; i < NumChunks; ++i)
{
const __m128i words0 = _mm_srai_epi16(
_mm_packs_epi32(_mm_load_si128(&in[i * 4 + 0]), _mm_load_si128(&in[i * 4 + 1])),
WeightScaleBits);
const __m128i words1 = _mm_srai_epi16(
_mm_packs_epi32(_mm_load_si128(&in[i * 4 + 2]), _mm_load_si128(&in[i * 4 + 3])),
WeightScaleBits);
const __m128i packedbytes = _mm_packs_epi16(words0, words1);
_mm_store_si128(&out[i], _mm_max_epi8(packedbytes, Zero));
}
}
constexpr IndexType Start = InputDimensions % SimdWidth == 0
? InputDimensions / SimdWidth * SimdWidth
: InputDimensions / (SimdWidth / 2) * (SimdWidth / 2);
#elif defined(USE_SSE2)
constexpr IndexType NumChunks = InputDimensions / SimdWidth;
const __m256i Zero = _mm256_setzero_si256();
const __m256i Offsets = _mm256_set_epi32(7, 3, 6, 2, 5, 1, 4, 0);
const auto in = reinterpret_cast<const __m256i*>(input);
const auto out = reinterpret_cast<__m256i*>(output);
for (IndexType i = 0; i < NumChunks; ++i) {
const __m256i words0 = _mm256_srai_epi16(_mm256_packs_epi32(
_mm256_load_si256(&in[i * 4 + 0]),
_mm256_load_si256(&in[i * 4 + 1])), WeightScaleBits);
const __m256i words1 = _mm256_srai_epi16(_mm256_packs_epi32(
_mm256_load_si256(&in[i * 4 + 2]),
_mm256_load_si256(&in[i * 4 + 3])), WeightScaleBits);
_mm256_store_si256(&out[i], _mm256_permutevar8x32_epi32(_mm256_max_epi8(
_mm256_packs_epi16(words0, words1), Zero), Offsets));
}
} else {
constexpr IndexType NumChunks = InputDimensions / (SimdWidth / 2);
#ifdef USE_SSE41
const __m128i Zero = _mm_setzero_si128();
const auto in = reinterpret_cast<const __m128i*>(input);
#else
const __m128i k0x80s = _mm_set1_epi8(-128);
#endif
const auto in = reinterpret_cast<const __m128i*>(input);
const auto out = reinterpret_cast<__m128i*>(output);
for (IndexType i = 0; i < NumChunks; ++i) {
const __m128i words0 = _mm_srai_epi16(_mm_packs_epi32(
_mm_load_si128(&in[i * 4 + 0]),
_mm_load_si128(&in[i * 4 + 1])), WeightScaleBits);
const __m128i words1 = _mm_srai_epi16(_mm_packs_epi32(
_mm_load_si128(&in[i * 4 + 2]),
_mm_load_si128(&in[i * 4 + 3])), WeightScaleBits);
const __m128i packedbytes = _mm_packs_epi16(words0, words1);
_mm_store_si128(&out[i], _mm_max_epi8(packedbytes, Zero));
for (IndexType i = 0; i < NumChunks; ++i)
{
const __m128i words0 = _mm_srai_epi16(
_mm_packs_epi32(_mm_load_si128(&in[i * 4 + 0]), _mm_load_si128(&in[i * 4 + 1])),
WeightScaleBits);
const __m128i words1 = _mm_srai_epi16(
_mm_packs_epi32(_mm_load_si128(&in[i * 4 + 2]), _mm_load_si128(&in[i * 4 + 3])),
WeightScaleBits);
const __m128i packedbytes = _mm_packs_epi16(words0, words1);
_mm_store_si128(&out[i],
#ifdef USE_SSE41
_mm_max_epi8(packedbytes, Zero)
#else
_mm_subs_epi8(_mm_adds_epi8(packedbytes, k0x80s), k0x80s)
#endif
);
}
}
constexpr IndexType Start =
InputDimensions % SimdWidth == 0
? InputDimensions / SimdWidth * SimdWidth
: InputDimensions / (SimdWidth / 2) * (SimdWidth / 2);
constexpr IndexType Start = NumChunks * SimdWidth;
#elif defined(USE_SSE2)
constexpr IndexType NumChunks = InputDimensions / SimdWidth;
#elif defined(USE_NEON)
constexpr IndexType NumChunks = InputDimensions / (SimdWidth / 2);
const int8x8_t Zero = {0};
const auto in = reinterpret_cast<const int32x4_t*>(input);
const auto out = reinterpret_cast<int8x8_t*>(output);
for (IndexType i = 0; i < NumChunks; ++i)
{
int16x8_t shifted;
const auto pack = reinterpret_cast<int16x4_t*>(&shifted);
pack[0] = vqshrn_n_s32(in[i * 2 + 0], WeightScaleBits);
pack[1] = vqshrn_n_s32(in[i * 2 + 1], WeightScaleBits);
out[i] = vmax_s8(vqmovn_s16(shifted), Zero);
}
constexpr IndexType Start = NumChunks * (SimdWidth / 2);
#else
constexpr IndexType Start = 0;
#endif
#ifdef USE_SSE41
const __m128i Zero = _mm_setzero_si128();
#else
const __m128i k0x80s = _mm_set1_epi8(-128);
#endif
const auto in = reinterpret_cast<const __m128i*>(input);
const auto out = reinterpret_cast<__m128i*>(output);
for (IndexType i = 0; i < NumChunks; ++i) {
const __m128i words0 = _mm_srai_epi16(_mm_packs_epi32(
_mm_load_si128(&in[i * 4 + 0]),
_mm_load_si128(&in[i * 4 + 1])), WeightScaleBits);
const __m128i words1 = _mm_srai_epi16(_mm_packs_epi32(
_mm_load_si128(&in[i * 4 + 2]),
_mm_load_si128(&in[i * 4 + 3])), WeightScaleBits);
const __m128i packedbytes = _mm_packs_epi16(words0, words1);
_mm_store_si128(&out[i],
#ifdef USE_SSE41
_mm_max_epi8(packedbytes, Zero)
#else
_mm_subs_epi8(_mm_adds_epi8(packedbytes, k0x80s), k0x80s)
#endif
);
}
constexpr IndexType Start = NumChunks * SimdWidth;
#elif defined(USE_MMX)
constexpr IndexType NumChunks = InputDimensions / SimdWidth;
const __m64 k0x80s = _mm_set1_pi8(-128);
const auto in = reinterpret_cast<const __m64*>(input);
const auto out = reinterpret_cast<__m64*>(output);
for (IndexType i = 0; i < NumChunks; ++i) {
const __m64 words0 = _mm_srai_pi16(
_mm_packs_pi32(in[i * 4 + 0], in[i * 4 + 1]),
WeightScaleBits);
const __m64 words1 = _mm_srai_pi16(
_mm_packs_pi32(in[i * 4 + 2], in[i * 4 + 3]),
WeightScaleBits);
const __m64 packedbytes = _mm_packs_pi16(words0, words1);
out[i] = _mm_subs_pi8(_mm_adds_pi8(packedbytes, k0x80s), k0x80s);
}
_mm_empty();
constexpr IndexType Start = NumChunks * SimdWidth;
#elif defined(USE_NEON)
constexpr IndexType NumChunks = InputDimensions / (SimdWidth / 2);
const int8x8_t Zero = {0};
const auto in = reinterpret_cast<const int32x4_t*>(input);
const auto out = reinterpret_cast<int8x8_t*>(output);
for (IndexType i = 0; i < NumChunks; ++i) {
int16x8_t shifted;
const auto pack = reinterpret_cast<int16x4_t*>(&shifted);
pack[0] = vqshrn_n_s32(in[i * 2 + 0], WeightScaleBits);
pack[1] = vqshrn_n_s32(in[i * 2 + 1], WeightScaleBits);
out[i] = vmax_s8(vqmovn_s16(shifted), Zero);
}
constexpr IndexType Start = NumChunks * (SimdWidth / 2);
#else
constexpr IndexType Start = 0;
#endif
for (IndexType i = Start; i < InputDimensions; ++i) {
output[i] = static_cast<OutputType>(
std::max(0, std::min(127, input[i] >> WeightScaleBits)));
}
return output;
for (IndexType i = Start; i < InputDimensions; ++i)
{
output[i] = static_cast<OutputType>(std::clamp(input[i] >> WeightScaleBits, 0, 127));
}
}
};
};
} // namespace Stockfish::Eval::NNUE::Layers
#endif // NNUE_LAYERS_CLIPPED_RELU_H_INCLUDED
#endif // NNUE_LAYERS_CLIPPED_RELU_H_INCLUDED
+111 -347
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -20,48 +20,30 @@
#define STOCKFISH_SIMD_H_INCLUDED
#if defined(USE_AVX2)
# include <immintrin.h>
#include <immintrin.h>
#elif defined(USE_SSE41)
# include <smmintrin.h>
#include <smmintrin.h>
#elif defined(USE_SSSE3)
# include <tmmintrin.h>
#include <tmmintrin.h>
#elif defined(USE_SSE2)
# include <emmintrin.h>
#elif defined(USE_MMX)
# include <mmintrin.h>
#include <emmintrin.h>
#elif defined(USE_NEON)
# include <arm_neon.h>
#endif
// The inline asm is only safe for GCC, where it is necessary to get good codegen.
// See https://gcc.gnu.org/bugzilla/show_bug.cgi?id=101693
// Clang does fine without it.
// Play around here: https://godbolt.org/z/7EWqrYq51
#if (defined(__GNUC__) && !defined(__clang__) && !defined(__INTEL_COMPILER))
#define USE_INLINE_ASM
#endif
// Use either the AVX512 or AVX-VNNI version of the VNNI instructions.
#if defined(USE_AVXVNNI)
#define VNNI_PREFIX "%{vex%} "
#else
#define VNNI_PREFIX ""
#include <arm_neon.h>
#endif
namespace Stockfish::Simd {
#if defined (USE_AVX512)
#if defined(USE_AVX512)
[[maybe_unused]] static int m512_hadd(__m512i sum, int bias) {
return _mm512_reduce_add_epi32(sum) + bias;
}
[[maybe_unused]] static int m512_hadd(__m512i sum, int bias) {
return _mm512_reduce_add_epi32(sum) + bias;
}
/*
/*
Parameters:
sum0 = [zmm0.i128[0], zmm0.i128[1], zmm0.i128[2], zmm0.i128[3]]
sum1 = [zmm1.i128[0], zmm1.i128[1], zmm1.i128[2], zmm1.i128[3]]
@@ -76,328 +58,110 @@ namespace Stockfish::Simd {
reduce_add_epi32(zmm0.i128[3]), reduce_add_epi32(zmm1.i128[3]), reduce_add_epi32(zmm2.i128[3]), reduce_add_epi32(zmm3.i128[3])
]
*/
[[maybe_unused]] static __m512i m512_hadd128x16_interleave(
__m512i sum0, __m512i sum1, __m512i sum2, __m512i sum3) {
[[maybe_unused]] static __m512i
m512_hadd128x16_interleave(__m512i sum0, __m512i sum1, __m512i sum2, __m512i sum3) {
__m512i sum01a = _mm512_unpacklo_epi32(sum0, sum1);
__m512i sum01b = _mm512_unpackhi_epi32(sum0, sum1);
__m512i sum01a = _mm512_unpacklo_epi32(sum0, sum1);
__m512i sum01b = _mm512_unpackhi_epi32(sum0, sum1);
__m512i sum23a = _mm512_unpacklo_epi32(sum2, sum3);
__m512i sum23b = _mm512_unpackhi_epi32(sum2, sum3);
__m512i sum23a = _mm512_unpacklo_epi32(sum2, sum3);
__m512i sum23b = _mm512_unpackhi_epi32(sum2, sum3);
__m512i sum01 = _mm512_add_epi32(sum01a, sum01b);
__m512i sum23 = _mm512_add_epi32(sum23a, sum23b);
__m512i sum01 = _mm512_add_epi32(sum01a, sum01b);
__m512i sum23 = _mm512_add_epi32(sum23a, sum23b);
__m512i sum0123a = _mm512_unpacklo_epi64(sum01, sum23);
__m512i sum0123b = _mm512_unpackhi_epi64(sum01, sum23);
return _mm512_add_epi32(sum0123a, sum0123b);
}
[[maybe_unused]] static __m128i m512_haddx4(
__m512i sum0, __m512i sum1, __m512i sum2, __m512i sum3,
__m128i bias) {
__m512i sum = m512_hadd128x16_interleave(sum0, sum1, sum2, sum3);
__m256i sum256lo = _mm512_castsi512_si256(sum);
__m256i sum256hi = _mm512_extracti64x4_epi64(sum, 1);
sum256lo = _mm256_add_epi32(sum256lo, sum256hi);
__m128i sum128lo = _mm256_castsi256_si128(sum256lo);
__m128i sum128hi = _mm256_extracti128_si256(sum256lo, 1);
return _mm_add_epi32(_mm_add_epi32(sum128lo, sum128hi), bias);
}
[[maybe_unused]] static void m512_add_dpbusd_epi32(
__m512i& acc,
__m512i a,
__m512i b) {
# if defined (USE_VNNI)
# if defined (USE_INLINE_ASM)
asm(
"vpdpbusd %[b], %[a], %[acc]\n\t"
: [acc]"+v"(acc)
: [a]"v"(a), [b]"vm"(b)
);
# else
acc = _mm512_dpbusd_epi32(acc, a, b);
# endif
# else
# if defined (USE_INLINE_ASM)
__m512i tmp = _mm512_maddubs_epi16(a, b);
asm(
"vpmaddwd %[tmp], %[ones], %[tmp]\n\t"
"vpaddd %[acc], %[tmp], %[acc]\n\t"
: [acc]"+v"(acc), [tmp]"+&v"(tmp)
: [ones]"v"(_mm512_set1_epi16(1))
);
# else
__m512i product0 = _mm512_maddubs_epi16(a, b);
product0 = _mm512_madd_epi16(product0, _mm512_set1_epi16(1));
acc = _mm512_add_epi32(acc, product0);
# endif
# endif
}
[[maybe_unused]] static void m512_add_dpbusd_epi32x2(
__m512i& acc,
__m512i a0, __m512i b0,
__m512i a1, __m512i b1) {
# if defined (USE_VNNI)
# if defined (USE_INLINE_ASM)
asm(
"vpdpbusd %[b0], %[a0], %[acc]\n\t"
"vpdpbusd %[b1], %[a1], %[acc]\n\t"
: [acc]"+&v"(acc)
: [a0]"v"(a0), [b0]"vm"(b0), [a1]"v"(a1), [b1]"vm"(b1)
);
# else
acc = _mm512_dpbusd_epi32(acc, a0, b0);
acc = _mm512_dpbusd_epi32(acc, a1, b1);
# endif
# else
# if defined (USE_INLINE_ASM)
__m512i tmp0 = _mm512_maddubs_epi16(a0, b0);
__m512i tmp1 = _mm512_maddubs_epi16(a1, b1);
asm(
"vpmaddwd %[tmp0], %[ones], %[tmp0]\n\t"
"vpmaddwd %[tmp1], %[ones], %[tmp1]\n\t"
"vpaddd %[tmp0], %[tmp1], %[tmp0]\n\t"
"vpaddd %[acc], %[tmp0], %[acc]\n\t"
: [acc]"+v"(acc), [tmp0]"+&v"(tmp0), [tmp1]"+&v"(tmp1)
: [ones]"v"(_mm512_set1_epi16(1))
);
# else
__m512i product0 = _mm512_maddubs_epi16(a0, b0);
__m512i product1 = _mm512_maddubs_epi16(a1, b1);
product0 = _mm512_madd_epi16(product0, _mm512_set1_epi16(1));
product1 = _mm512_madd_epi16(product1, _mm512_set1_epi16(1));
acc = _mm512_add_epi32(acc, _mm512_add_epi32(product0, product1));
# endif
# endif
}
#endif
#if defined (USE_AVX2)
[[maybe_unused]] static int m256_hadd(__m256i sum, int bias) {
__m128i sum128 = _mm_add_epi32(_mm256_castsi256_si128(sum), _mm256_extracti128_si256(sum, 1));
sum128 = _mm_add_epi32(sum128, _mm_shuffle_epi32(sum128, _MM_PERM_BADC));
sum128 = _mm_add_epi32(sum128, _mm_shuffle_epi32(sum128, _MM_PERM_CDAB));
return _mm_cvtsi128_si32(sum128) + bias;
}
[[maybe_unused]] static __m128i m256_haddx4(
__m256i sum0, __m256i sum1, __m256i sum2, __m256i sum3,
__m128i bias) {
sum0 = _mm256_hadd_epi32(sum0, sum1);
sum2 = _mm256_hadd_epi32(sum2, sum3);
sum0 = _mm256_hadd_epi32(sum0, sum2);
__m128i sum128lo = _mm256_castsi256_si128(sum0);
__m128i sum128hi = _mm256_extracti128_si256(sum0, 1);
return _mm_add_epi32(_mm_add_epi32(sum128lo, sum128hi), bias);
}
[[maybe_unused]] static void m256_add_dpbusd_epi32(
__m256i& acc,
__m256i a,
__m256i b) {
# if defined (USE_VNNI)
# if defined (USE_INLINE_ASM)
asm(
VNNI_PREFIX "vpdpbusd %[b], %[a], %[acc]\n\t"
: [acc]"+v"(acc)
: [a]"v"(a), [b]"vm"(b)
);
# else
acc = _mm256_dpbusd_epi32(acc, a, b);
# endif
# else
# if defined (USE_INLINE_ASM)
__m256i tmp = _mm256_maddubs_epi16(a, b);
asm(
"vpmaddwd %[tmp], %[ones], %[tmp]\n\t"
"vpaddd %[acc], %[tmp], %[acc]\n\t"
: [acc]"+v"(acc), [tmp]"+&v"(tmp)
: [ones]"v"(_mm256_set1_epi16(1))
);
# else
__m256i product0 = _mm256_maddubs_epi16(a, b);
product0 = _mm256_madd_epi16(product0, _mm256_set1_epi16(1));
acc = _mm256_add_epi32(acc, product0);
# endif
# endif
}
[[maybe_unused]] static void m256_add_dpbusd_epi32x2(
__m256i& acc,
__m256i a0, __m256i b0,
__m256i a1, __m256i b1) {
# if defined (USE_VNNI)
# if defined (USE_INLINE_ASM)
asm(
VNNI_PREFIX "vpdpbusd %[b0], %[a0], %[acc]\n\t"
VNNI_PREFIX "vpdpbusd %[b1], %[a1], %[acc]\n\t"
: [acc]"+&v"(acc)
: [a0]"v"(a0), [b0]"vm"(b0), [a1]"v"(a1), [b1]"vm"(b1)
);
# else
acc = _mm256_dpbusd_epi32(acc, a0, b0);
acc = _mm256_dpbusd_epi32(acc, a1, b1);
# endif
# else
# if defined (USE_INLINE_ASM)
__m256i tmp0 = _mm256_maddubs_epi16(a0, b0);
__m256i tmp1 = _mm256_maddubs_epi16(a1, b1);
asm(
"vpmaddwd %[tmp0], %[ones], %[tmp0]\n\t"
"vpmaddwd %[tmp1], %[ones], %[tmp1]\n\t"
"vpaddd %[tmp0], %[tmp1], %[tmp0]\n\t"
"vpaddd %[acc], %[tmp0], %[acc]\n\t"
: [acc]"+v"(acc), [tmp0]"+&v"(tmp0), [tmp1]"+&v"(tmp1)
: [ones]"v"(_mm256_set1_epi16(1))
);
# else
__m256i product0 = _mm256_maddubs_epi16(a0, b0);
__m256i product1 = _mm256_maddubs_epi16(a1, b1);
product0 = _mm256_madd_epi16(product0, _mm256_set1_epi16(1));
product1 = _mm256_madd_epi16(product1, _mm256_set1_epi16(1));
acc = _mm256_add_epi32(acc, _mm256_add_epi32(product0, product1));
# endif
# endif
}
#endif
#if defined (USE_SSSE3)
[[maybe_unused]] static int m128_hadd(__m128i sum, int bias) {
sum = _mm_add_epi32(sum, _mm_shuffle_epi32(sum, 0x4E)); //_MM_PERM_BADC
sum = _mm_add_epi32(sum, _mm_shuffle_epi32(sum, 0xB1)); //_MM_PERM_CDAB
return _mm_cvtsi128_si32(sum) + bias;
}
[[maybe_unused]] static __m128i m128_haddx4(
__m128i sum0, __m128i sum1, __m128i sum2, __m128i sum3,
__m128i bias) {
sum0 = _mm_hadd_epi32(sum0, sum1);
sum2 = _mm_hadd_epi32(sum2, sum3);
sum0 = _mm_hadd_epi32(sum0, sum2);
return _mm_add_epi32(sum0, bias);
}
[[maybe_unused]] static void m128_add_dpbusd_epi32(
__m128i& acc,
__m128i a,
__m128i b) {
# if defined (USE_INLINE_ASM)
__m128i tmp = _mm_maddubs_epi16(a, b);
asm(
"pmaddwd %[ones], %[tmp]\n\t"
"paddd %[tmp], %[acc]\n\t"
: [acc]"+v"(acc), [tmp]"+&v"(tmp)
: [ones]"v"(_mm_set1_epi16(1))
);
# else
__m128i product0 = _mm_maddubs_epi16(a, b);
product0 = _mm_madd_epi16(product0, _mm_set1_epi16(1));
acc = _mm_add_epi32(acc, product0);
# endif
}
[[maybe_unused]] static void m128_add_dpbusd_epi32x2(
__m128i& acc,
__m128i a0, __m128i b0,
__m128i a1, __m128i b1) {
# if defined (USE_INLINE_ASM)
__m128i tmp0 = _mm_maddubs_epi16(a0, b0);
__m128i tmp1 = _mm_maddubs_epi16(a1, b1);
asm(
"pmaddwd %[ones], %[tmp0]\n\t"
"pmaddwd %[ones], %[tmp1]\n\t"
"paddd %[tmp1], %[tmp0]\n\t"
"paddd %[tmp0], %[acc]\n\t"
: [acc]"+v"(acc), [tmp0]"+&v"(tmp0), [tmp1]"+&v"(tmp1)
: [ones]"v"(_mm_set1_epi16(1))
);
# else
__m128i product0 = _mm_maddubs_epi16(a0, b0);
__m128i product1 = _mm_maddubs_epi16(a1, b1);
product0 = _mm_madd_epi16(product0, _mm_set1_epi16(1));
product1 = _mm_madd_epi16(product1, _mm_set1_epi16(1));
acc = _mm_add_epi32(acc, _mm_add_epi32(product0, product1));
# endif
}
#endif
#if defined (USE_NEON_DOTPROD)
[[maybe_unused]] static void dotprod_m128_add_dpbusd_epi32x2(
int32x4_t& acc,
int8x16_t a0, int8x16_t b0,
int8x16_t a1, int8x16_t b1) {
acc = vdotq_s32(acc, a0, b0);
acc = vdotq_s32(acc, a1, b1);
}
#endif
#if defined (USE_NEON)
[[maybe_unused]] static int neon_m128_reduce_add_epi32(int32x4_t s) {
# if USE_NEON >= 8
return vaddvq_s32(s);
# else
return s[0] + s[1] + s[2] + s[3];
# endif
}
[[maybe_unused]] static int neon_m128_hadd(int32x4_t sum, int bias) {
return neon_m128_reduce_add_epi32(sum) + bias;
}
[[maybe_unused]] static int32x4_t neon_m128_haddx4(
int32x4_t sum0, int32x4_t sum1, int32x4_t sum2, int32x4_t sum3,
int32x4_t bias) {
int32x4_t hsums {
neon_m128_reduce_add_epi32(sum0),
neon_m128_reduce_add_epi32(sum1),
neon_m128_reduce_add_epi32(sum2),
neon_m128_reduce_add_epi32(sum3)
};
return vaddq_s32(hsums, bias);
}
[[maybe_unused]] static void neon_m128_add_dpbusd_epi32x2(
int32x4_t& acc,
int8x8_t a0, int8x8_t b0,
int8x8_t a1, int8x8_t b1) {
int16x8_t product = vmull_s8(a0, b0);
product = vmlal_s8(product, a1, b1);
acc = vpadalq_s16(acc, product);
}
#endif
__m512i sum0123a = _mm512_unpacklo_epi64(sum01, sum23);
__m512i sum0123b = _mm512_unpackhi_epi64(sum01, sum23);
return _mm512_add_epi32(sum0123a, sum0123b);
}
#endif // STOCKFISH_SIMD_H_INCLUDED
[[maybe_unused]] static void m512_add_dpbusd_epi32(__m512i& acc, __m512i a, __m512i b) {
#if defined(USE_VNNI)
acc = _mm512_dpbusd_epi32(acc, a, b);
#else
__m512i product0 = _mm512_maddubs_epi16(a, b);
product0 = _mm512_madd_epi16(product0, _mm512_set1_epi16(1));
acc = _mm512_add_epi32(acc, product0);
#endif
}
#endif
#if defined(USE_AVX2)
[[maybe_unused]] static int m256_hadd(__m256i sum, int bias) {
__m128i sum128 = _mm_add_epi32(_mm256_castsi256_si128(sum), _mm256_extracti128_si256(sum, 1));
sum128 = _mm_add_epi32(sum128, _mm_shuffle_epi32(sum128, _MM_PERM_BADC));
sum128 = _mm_add_epi32(sum128, _mm_shuffle_epi32(sum128, _MM_PERM_CDAB));
return _mm_cvtsi128_si32(sum128) + bias;
}
[[maybe_unused]] static void m256_add_dpbusd_epi32(__m256i& acc, __m256i a, __m256i b) {
#if defined(USE_VNNI)
acc = _mm256_dpbusd_epi32(acc, a, b);
#else
__m256i product0 = _mm256_maddubs_epi16(a, b);
product0 = _mm256_madd_epi16(product0, _mm256_set1_epi16(1));
acc = _mm256_add_epi32(acc, product0);
#endif
}
#endif
#if defined(USE_SSSE3)
[[maybe_unused]] static int m128_hadd(__m128i sum, int bias) {
sum = _mm_add_epi32(sum, _mm_shuffle_epi32(sum, 0x4E)); //_MM_PERM_BADC
sum = _mm_add_epi32(sum, _mm_shuffle_epi32(sum, 0xB1)); //_MM_PERM_CDAB
return _mm_cvtsi128_si32(sum) + bias;
}
[[maybe_unused]] static void m128_add_dpbusd_epi32(__m128i& acc, __m128i a, __m128i b) {
__m128i product0 = _mm_maddubs_epi16(a, b);
product0 = _mm_madd_epi16(product0, _mm_set1_epi16(1));
acc = _mm_add_epi32(acc, product0);
}
#endif
#if defined(USE_NEON_DOTPROD)
[[maybe_unused]] static void
dotprod_m128_add_dpbusd_epi32(int32x4_t& acc, int8x16_t a, int8x16_t b) {
acc = vdotq_s32(acc, a, b);
}
#endif
#if defined(USE_NEON)
[[maybe_unused]] static int neon_m128_reduce_add_epi32(int32x4_t s) {
#if USE_NEON >= 8
return vaddvq_s32(s);
#else
return s[0] + s[1] + s[2] + s[3];
#endif
}
[[maybe_unused]] static int neon_m128_hadd(int32x4_t sum, int bias) {
return neon_m128_reduce_add_epi32(sum) + bias;
}
#endif
#if USE_NEON >= 8
[[maybe_unused]] static void neon_m128_add_dpbusd_epi32(int32x4_t& acc, int8x16_t a, int8x16_t b) {
int16x8_t product0 = vmull_s8(vget_low_s8(a), vget_low_s8(b));
int16x8_t product1 = vmull_high_s8(a, b);
int16x8_t sum = vpaddq_s16(product0, product1);
acc = vpadalq_s16(acc, sum);
}
#endif
}
#endif // STOCKFISH_SIMD_H_INCLUDED
+48 -65
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -21,100 +21,83 @@
#ifndef NNUE_LAYERS_SQR_CLIPPED_RELU_H_INCLUDED
#define NNUE_LAYERS_SQR_CLIPPED_RELU_H_INCLUDED
#include <algorithm>
#include <cstdint>
#include <iosfwd>
#include "../nnue_common.h"
namespace Stockfish::Eval::NNUE::Layers {
// Clipped ReLU
template <IndexType InDims>
class SqrClippedReLU {
// Clipped ReLU
template<IndexType InDims>
class SqrClippedReLU {
public:
// Input/output type
using InputType = std::int32_t;
using InputType = std::int32_t;
using OutputType = std::uint8_t;
// Number of input/output dimensions
static constexpr IndexType InputDimensions = InDims;
static constexpr IndexType InputDimensions = InDims;
static constexpr IndexType OutputDimensions = InputDimensions;
static constexpr IndexType PaddedOutputDimensions =
ceil_to_multiple<IndexType>(OutputDimensions, 32);
ceil_to_multiple<IndexType>(OutputDimensions, 32);
using OutputBuffer = OutputType[PaddedOutputDimensions];
// Hash value embedded in the evaluation file
static constexpr std::uint32_t get_hash_value(std::uint32_t prevHash) {
std::uint32_t hashValue = 0x538D24C7u;
hashValue += prevHash;
return hashValue;
std::uint32_t hashValue = 0x538D24C7u;
hashValue += prevHash;
return hashValue;
}
// Read network parameters
bool read_parameters(std::istream&) {
return true;
}
bool read_parameters(std::istream&) { return true; }
// Write network parameters
bool write_parameters(std::ostream&) const {
return true;
}
bool write_parameters(std::ostream&) const { return true; }
// Forward propagation
const OutputType* propagate(
const InputType* input, OutputType* output) const {
void propagate(const InputType* input, OutputType* output) const {
#if defined(USE_SSE2)
constexpr IndexType NumChunks = InputDimensions / 16;
#if defined(USE_SSE2)
constexpr IndexType NumChunks = InputDimensions / 16;
#ifdef USE_SSE41
const __m128i Zero = _mm_setzero_si128();
#else
const __m128i k0x80s = _mm_set1_epi8(-128);
#endif
static_assert(WeightScaleBits == 6);
const auto in = reinterpret_cast<const __m128i*>(input);
const auto out = reinterpret_cast<__m128i*>(output);
for (IndexType i = 0; i < NumChunks; ++i)
{
__m128i words0 =
_mm_packs_epi32(_mm_load_si128(&in[i * 4 + 0]), _mm_load_si128(&in[i * 4 + 1]));
__m128i words1 =
_mm_packs_epi32(_mm_load_si128(&in[i * 4 + 2]), _mm_load_si128(&in[i * 4 + 3]));
static_assert(WeightScaleBits == 6);
const auto in = reinterpret_cast<const __m128i*>(input);
const auto out = reinterpret_cast<__m128i*>(output);
for (IndexType i = 0; i < NumChunks; ++i) {
__m128i words0 = _mm_packs_epi32(
_mm_load_si128(&in[i * 4 + 0]),
_mm_load_si128(&in[i * 4 + 1]));
__m128i words1 = _mm_packs_epi32(
_mm_load_si128(&in[i * 4 + 2]),
_mm_load_si128(&in[i * 4 + 3]));
// We shift by WeightScaleBits * 2 = 12 and divide by 128
// which is an additional shift-right of 7, meaning 19 in total.
// MulHi strips the lower 16 bits so we need to shift out 3 more to match.
words0 = _mm_srli_epi16(_mm_mulhi_epi16(words0, words0), 3);
words1 = _mm_srli_epi16(_mm_mulhi_epi16(words1, words1), 3);
// Not sure if
words0 = _mm_srli_epi16(_mm_mulhi_epi16(words0, words0), 3);
words1 = _mm_srli_epi16(_mm_mulhi_epi16(words1, words1), 3);
_mm_store_si128(&out[i], _mm_packs_epi16(words0, words1));
}
constexpr IndexType Start = NumChunks * 16;
const __m128i packedbytes = _mm_packs_epi16(words0, words1);
#else
constexpr IndexType Start = 0;
#endif
_mm_store_si128(&out[i],
#ifdef USE_SSE41
_mm_max_epi8(packedbytes, Zero)
#else
_mm_subs_epi8(_mm_adds_epi8(packedbytes, k0x80s), k0x80s)
#endif
);
}
constexpr IndexType Start = NumChunks * 16;
#else
constexpr IndexType Start = 0;
#endif
for (IndexType i = Start; i < InputDimensions; ++i) {
output[i] = static_cast<OutputType>(
// really should be /127 but we need to make it fast
// needs to be accounted for in the trainer
std::max(0ll, std::min(127ll, (((long long)input[i] * input[i]) >> (2 * WeightScaleBits)) / 128)));
}
return output;
for (IndexType i = Start; i < InputDimensions; ++i)
{
output[i] = static_cast<OutputType>(
// Really should be /127 but we need to make it fast so we right-shift
// by an extra 7 bits instead. Needs to be accounted for in the trainer.
std::min(127ll, ((long long) (input[i]) * input[i]) >> (2 * WeightScaleBits + 7)));
}
}
};
};
} // namespace Stockfish::Eval::NNUE::Layers
#endif // NNUE_LAYERS_SQR_CLIPPED_RELU_H_INCLUDED
#endif // NNUE_LAYERS_SQR_CLIPPED_RELU_H_INCLUDED
+11 -7
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -21,17 +21,21 @@
#ifndef NNUE_ACCUMULATOR_H_INCLUDED
#define NNUE_ACCUMULATOR_H_INCLUDED
#include <cstdint>
#include "nnue_architecture.h"
#include "nnue_common.h"
namespace Stockfish::Eval::NNUE {
// Class that holds the result of affine transformation of input features
struct alignas(CacheLineSize) Accumulator {
std::int16_t accumulation[2][TransformedFeatureDimensions];
// Class that holds the result of affine transformation of input features
template<IndexType Size>
struct alignas(CacheLineSize) Accumulator {
std::int16_t accumulation[2][Size];
std::int32_t psqtAccumulation[2][PSQTBuckets];
bool computed[2];
};
bool computed[2];
};
} // namespace Stockfish::Eval::NNUE
#endif // NNUE_ACCUMULATOR_H_INCLUDED
#endif // NNUE_ACCUMULATOR_H_INCLUDED
+86 -81
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -21,117 +21,122 @@
#ifndef NNUE_ARCHITECTURE_H_INCLUDED
#define NNUE_ARCHITECTURE_H_INCLUDED
#include <memory>
#include "nnue_common.h"
#include <cstdint>
#include <cstring>
#include <iosfwd>
#include "features/half_ka_v2_hm.h"
#include "layers/affine_transform_sparse_input.h"
#include "layers/affine_transform.h"
#include "layers/affine_transform_sparse_input.h"
#include "layers/clipped_relu.h"
#include "layers/sqr_clipped_relu.h"
#include "../misc.h"
#include "nnue_common.h"
namespace Stockfish::Eval::NNUE {
// Input features used in evaluation function
using FeatureSet = Features::HalfKAv2_hm;
enum NetSize : int {
Big,
Small
};
// Number of input feature dimensions after conversion
constexpr IndexType TransformedFeatureDimensions = 1536;
constexpr IndexType TransformedFeatureDimensionsBig = 2560;
constexpr int L2Big = 15;
constexpr int L3Big = 32;
constexpr IndexType TransformedFeatureDimensionsSmall = 128;
constexpr int L2Small = 15;
constexpr int L3Small = 32;
constexpr IndexType PSQTBuckets = 8;
constexpr IndexType LayerStacks = 8;
struct Network
{
static constexpr int FC_0_OUTPUTS = 15;
static constexpr int FC_1_OUTPUTS = 32;
template<IndexType L1, int L2, int L3>
struct Network {
static constexpr IndexType TransformedFeatureDimensions = L1;
static constexpr int FC_0_OUTPUTS = L2;
static constexpr int FC_1_OUTPUTS = L3;
Layers::AffineTransformSparseInput<TransformedFeatureDimensions, FC_0_OUTPUTS + 1> fc_0;
Layers::SqrClippedReLU<FC_0_OUTPUTS + 1> ac_sqr_0;
Layers::ClippedReLU<FC_0_OUTPUTS + 1> ac_0;
Layers::AffineTransform<FC_0_OUTPUTS * 2, FC_1_OUTPUTS> fc_1;
Layers::ClippedReLU<FC_1_OUTPUTS> ac_1;
Layers::AffineTransform<FC_1_OUTPUTS, 1> fc_2;
Layers::AffineTransformSparseInput<TransformedFeatureDimensions, FC_0_OUTPUTS + 1> fc_0;
Layers::SqrClippedReLU<FC_0_OUTPUTS + 1> ac_sqr_0;
Layers::ClippedReLU<FC_0_OUTPUTS + 1> ac_0;
Layers::AffineTransform<FC_0_OUTPUTS * 2, FC_1_OUTPUTS> fc_1;
Layers::ClippedReLU<FC_1_OUTPUTS> ac_1;
Layers::AffineTransform<FC_1_OUTPUTS, 1> fc_2;
// Hash value embedded in the evaluation file
static constexpr std::uint32_t get_hash_value() {
// input slice hash
std::uint32_t hashValue = 0xEC42E90Du;
hashValue ^= TransformedFeatureDimensions * 2;
// Hash value embedded in the evaluation file
static constexpr std::uint32_t get_hash_value() {
// input slice hash
std::uint32_t hashValue = 0xEC42E90Du;
hashValue ^= TransformedFeatureDimensions * 2;
hashValue = decltype(fc_0)::get_hash_value(hashValue);
hashValue = decltype(ac_0)::get_hash_value(hashValue);
hashValue = decltype(fc_1)::get_hash_value(hashValue);
hashValue = decltype(ac_1)::get_hash_value(hashValue);
hashValue = decltype(fc_2)::get_hash_value(hashValue);
hashValue = decltype(fc_0)::get_hash_value(hashValue);
hashValue = decltype(ac_0)::get_hash_value(hashValue);
hashValue = decltype(fc_1)::get_hash_value(hashValue);
hashValue = decltype(ac_1)::get_hash_value(hashValue);
hashValue = decltype(fc_2)::get_hash_value(hashValue);
return hashValue;
}
return hashValue;
}
// Read network parameters
bool read_parameters(std::istream& stream) {
return fc_0.read_parameters(stream)
&& ac_0.read_parameters(stream)
&& fc_1.read_parameters(stream)
&& ac_1.read_parameters(stream)
&& fc_2.read_parameters(stream);
}
// Read network parameters
bool read_parameters(std::istream& stream) {
return fc_0.read_parameters(stream) && ac_0.read_parameters(stream)
&& fc_1.read_parameters(stream) && ac_1.read_parameters(stream)
&& fc_2.read_parameters(stream);
}
// Write network parameters
bool write_parameters(std::ostream& stream) const {
return fc_0.write_parameters(stream)
&& ac_0.write_parameters(stream)
&& fc_1.write_parameters(stream)
&& ac_1.write_parameters(stream)
&& fc_2.write_parameters(stream);
}
// Write network parameters
bool write_parameters(std::ostream& stream) const {
return fc_0.write_parameters(stream) && ac_0.write_parameters(stream)
&& fc_1.write_parameters(stream) && ac_1.write_parameters(stream)
&& fc_2.write_parameters(stream);
}
std::int32_t propagate(const TransformedFeatureType* transformedFeatures)
{
struct alignas(CacheLineSize) Buffer
{
alignas(CacheLineSize) decltype(fc_0)::OutputBuffer fc_0_out;
alignas(CacheLineSize) decltype(ac_sqr_0)::OutputType ac_sqr_0_out[ceil_to_multiple<IndexType>(FC_0_OUTPUTS * 2, 32)];
alignas(CacheLineSize) decltype(ac_0)::OutputBuffer ac_0_out;
alignas(CacheLineSize) decltype(fc_1)::OutputBuffer fc_1_out;
alignas(CacheLineSize) decltype(ac_1)::OutputBuffer ac_1_out;
alignas(CacheLineSize) decltype(fc_2)::OutputBuffer fc_2_out;
std::int32_t propagate(const TransformedFeatureType* transformedFeatures) {
struct alignas(CacheLineSize) Buffer {
alignas(CacheLineSize) typename decltype(fc_0)::OutputBuffer fc_0_out;
alignas(CacheLineSize) typename decltype(ac_sqr_0)::OutputType
ac_sqr_0_out[ceil_to_multiple<IndexType>(FC_0_OUTPUTS * 2, 32)];
alignas(CacheLineSize) typename decltype(ac_0)::OutputBuffer ac_0_out;
alignas(CacheLineSize) typename decltype(fc_1)::OutputBuffer fc_1_out;
alignas(CacheLineSize) typename decltype(ac_1)::OutputBuffer ac_1_out;
alignas(CacheLineSize) typename decltype(fc_2)::OutputBuffer fc_2_out;
Buffer()
{
std::memset(this, 0, sizeof(*this));
}
};
Buffer() { std::memset(this, 0, sizeof(*this)); }
};
#if defined(__clang__) && (__APPLE__)
// workaround for a bug reported with xcode 12
static thread_local auto tlsBuffer = std::make_unique<Buffer>();
// Access TLS only once, cache result.
Buffer& buffer = *tlsBuffer;
// workaround for a bug reported with xcode 12
static thread_local auto tlsBuffer = std::make_unique<Buffer>();
// Access TLS only once, cache result.
Buffer& buffer = *tlsBuffer;
#else
alignas(CacheLineSize) static thread_local Buffer buffer;
alignas(CacheLineSize) static thread_local Buffer buffer;
#endif
fc_0.propagate(transformedFeatures, buffer.fc_0_out);
ac_sqr_0.propagate(buffer.fc_0_out, buffer.ac_sqr_0_out);
ac_0.propagate(buffer.fc_0_out, buffer.ac_0_out);
std::memcpy(buffer.ac_sqr_0_out + FC_0_OUTPUTS, buffer.ac_0_out, FC_0_OUTPUTS * sizeof(decltype(ac_0)::OutputType));
fc_1.propagate(buffer.ac_sqr_0_out, buffer.fc_1_out);
ac_1.propagate(buffer.fc_1_out, buffer.ac_1_out);
fc_2.propagate(buffer.ac_1_out, buffer.fc_2_out);
fc_0.propagate(transformedFeatures, buffer.fc_0_out);
ac_sqr_0.propagate(buffer.fc_0_out, buffer.ac_sqr_0_out);
ac_0.propagate(buffer.fc_0_out, buffer.ac_0_out);
std::memcpy(buffer.ac_sqr_0_out + FC_0_OUTPUTS, buffer.ac_0_out,
FC_0_OUTPUTS * sizeof(typename decltype(ac_0)::OutputType));
fc_1.propagate(buffer.ac_sqr_0_out, buffer.fc_1_out);
ac_1.propagate(buffer.fc_1_out, buffer.ac_1_out);
fc_2.propagate(buffer.ac_1_out, buffer.fc_2_out);
// buffer.fc_0_out[FC_0_OUTPUTS] is such that 1.0 is equal to 127*(1<<WeightScaleBits) in quantized form
// but we want 1.0 to be equal to 600*OutputScale
std::int32_t fwdOut = int(buffer.fc_0_out[FC_0_OUTPUTS]) * (600*OutputScale) / (127*(1<<WeightScaleBits));
std::int32_t outputValue = buffer.fc_2_out[0] + fwdOut;
// buffer.fc_0_out[FC_0_OUTPUTS] is such that 1.0 is equal to 127*(1<<WeightScaleBits) in
// quantized form, but we want 1.0 to be equal to 600*OutputScale
std::int32_t fwdOut =
(buffer.fc_0_out[FC_0_OUTPUTS]) * (600 * OutputScale) / (127 * (1 << WeightScaleBits));
std::int32_t outputValue = buffer.fc_2_out[0] + fwdOut;
return outputValue;
}
return outputValue;
}
};
} // namespace Stockfish::Eval::NNUE
#endif // #ifndef NNUE_ARCHITECTURE_H_INCLUDED
#endif // #ifndef NNUE_ARCHITECTURE_H_INCLUDED
+215 -172
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -21,221 +21,264 @@
#ifndef NNUE_COMMON_H_INCLUDED
#define NNUE_COMMON_H_INCLUDED
#include <algorithm>
#include <cassert>
#include <cstdint>
#include <cstring>
#include <iostream>
#include <type_traits>
#include "../misc.h" // for IsLittleEndian
#include "../misc.h"
#if defined(USE_AVX2)
#include <immintrin.h>
#include <immintrin.h>
#elif defined(USE_SSE41)
#include <smmintrin.h>
#include <smmintrin.h>
#elif defined(USE_SSSE3)
#include <tmmintrin.h>
#include <tmmintrin.h>
#elif defined(USE_SSE2)
#include <emmintrin.h>
#elif defined(USE_MMX)
#include <mmintrin.h>
#include <emmintrin.h>
#elif defined(USE_NEON)
#include <arm_neon.h>
#include <arm_neon.h>
#endif
namespace Stockfish::Eval::NNUE {
// Version of the evaluation file
constexpr std::uint32_t Version = 0x7AF32F20u;
// Version of the evaluation file
constexpr std::uint32_t Version = 0x7AF32F20u;
// Constant used in evaluation value calculation
constexpr int OutputScale = 16;
constexpr int WeightScaleBits = 6;
// Constant used in evaluation value calculation
constexpr int OutputScale = 16;
constexpr int WeightScaleBits = 6;
// Size of cache line (in bytes)
constexpr std::size_t CacheLineSize = 64;
// Size of cache line (in bytes)
constexpr std::size_t CacheLineSize = 64;
constexpr const char Leb128MagicString[] = "COMPRESSED_LEB128";
constexpr const std::size_t Leb128MagicStringSize = sizeof(Leb128MagicString) - 1;
constexpr const char Leb128MagicString[] = "COMPRESSED_LEB128";
constexpr const std::size_t Leb128MagicStringSize = sizeof(Leb128MagicString) - 1;
// SIMD width (in bytes)
#if defined(USE_AVX2)
constexpr std::size_t SimdWidth = 32;
// SIMD width (in bytes)
#if defined(USE_AVX2)
constexpr std::size_t SimdWidth = 32;
#elif defined(USE_SSE2)
constexpr std::size_t SimdWidth = 16;
#elif defined(USE_SSE2)
constexpr std::size_t SimdWidth = 16;
#elif defined(USE_MMX)
constexpr std::size_t SimdWidth = 8;
#elif defined(USE_NEON)
constexpr std::size_t SimdWidth = 16;
#endif
#elif defined(USE_NEON)
constexpr std::size_t SimdWidth = 16;
#endif
constexpr std::size_t MaxSimdWidth = 32;
constexpr std::size_t MaxSimdWidth = 32;
// Type of input feature after conversion
using TransformedFeatureType = std::uint8_t;
using IndexType = std::uint32_t;
// Type of input feature after conversion
using TransformedFeatureType = std::uint8_t;
using IndexType = std::uint32_t;
// Round n up to be a multiple of base
template<typename IntType>
constexpr IntType ceil_to_multiple(IntType n, IntType base) {
return (n + base - 1) / base * base;
}
// Round n up to be a multiple of base
template <typename IntType>
constexpr IntType ceil_to_multiple(IntType n, IntType base) {
return (n + base - 1) / base * base;
}
// read_little_endian() is our utility to read an integer (signed or unsigned, any size)
// from a stream in little-endian order. We swap the byte order after the read if
// necessary to return a result with the byte ordering of the compiling machine.
template <typename IntType>
inline IntType read_little_endian(std::istream& stream) {
IntType result;
// Utility to read an integer (signed or unsigned, any size)
// from a stream in little-endian order. We swap the byte order after the read if
// necessary to return a result with the byte ordering of the compiling machine.
template<typename IntType>
inline IntType read_little_endian(std::istream& stream) {
IntType result;
if (IsLittleEndian)
stream.read(reinterpret_cast<char*>(&result), sizeof(IntType));
else
{
std::uint8_t u[sizeof(IntType)];
typename std::make_unsigned<IntType>::type v = 0;
if (IsLittleEndian)
stream.read(reinterpret_cast<char*>(&result), sizeof(IntType));
else
{
std::uint8_t u[sizeof(IntType)];
std::make_unsigned_t<IntType> v = 0;
stream.read(reinterpret_cast<char*>(u), sizeof(IntType));
for (std::size_t i = 0; i < sizeof(IntType); ++i)
v = (v << 8) | u[sizeof(IntType) - i - 1];
stream.read(reinterpret_cast<char*>(u), sizeof(IntType));
for (std::size_t i = 0; i < sizeof(IntType); ++i)
v = (v << 8) | u[sizeof(IntType) - i - 1];
std::memcpy(&result, &v, sizeof(IntType));
}
std::memcpy(&result, &v, sizeof(IntType));
}
return result;
}
return result;
}
// write_little_endian() is our utility to write an integer (signed or unsigned, any size)
// to a stream in little-endian order. We swap the byte order before the write if
// necessary to always write in little endian order, independently of the byte
// ordering of the compiling machine.
template <typename IntType>
inline void write_little_endian(std::ostream& stream, IntType value) {
if (IsLittleEndian)
stream.write(reinterpret_cast<const char*>(&value), sizeof(IntType));
else
{
std::uint8_t u[sizeof(IntType)];
typename std::make_unsigned<IntType>::type v = value;
// Utility to write an integer (signed or unsigned, any size)
// to a stream in little-endian order. We swap the byte order before the write if
// necessary to always write in little-endian order, independently of the byte
// ordering of the compiling machine.
template<typename IntType>
inline void write_little_endian(std::ostream& stream, IntType value) {
std::size_t i = 0;
// if constexpr to silence the warning about shift by 8
if constexpr (sizeof(IntType) > 1)
{
if (IsLittleEndian)
stream.write(reinterpret_cast<const char*>(&value), sizeof(IntType));
else
{
std::uint8_t u[sizeof(IntType)];
std::make_unsigned_t<IntType> v = value;
std::size_t i = 0;
// if constexpr to silence the warning about shift by 8
if constexpr (sizeof(IntType) > 1)
{
for (; i + 1 < sizeof(IntType); ++i)
{
u[i] = (std::uint8_t)v;
u[i] = std::uint8_t(v);
v >>= 8;
}
}
u[i] = (std::uint8_t)v;
}
u[i] = std::uint8_t(v);
stream.write(reinterpret_cast<char*>(u), sizeof(IntType));
}
}
stream.write(reinterpret_cast<char*>(u), sizeof(IntType));
}
}
// read_little_endian(s, out, N) : read integers in bulk from a little indian stream.
// This reads N integers from stream s and put them in array out.
template <typename IntType>
inline void read_little_endian(std::istream& stream, IntType* out, std::size_t count) {
if (IsLittleEndian)
stream.read(reinterpret_cast<char*>(out), sizeof(IntType) * count);
else
for (std::size_t i = 0; i < count; ++i)
out[i] = read_little_endian<IntType>(stream);
}
// write_little_endian(s, values, N) : write integers in bulk to a little indian stream.
// This takes N integers from array values and writes them on stream s.
template <typename IntType>
inline void write_little_endian(std::ostream& stream, const IntType* values, std::size_t count) {
if (IsLittleEndian)
stream.write(reinterpret_cast<const char*>(values), sizeof(IntType) * count);
else
for (std::size_t i = 0; i < count; ++i)
write_little_endian<IntType>(stream, values[i]);
}
// Read integers in bulk from a little-endian stream.
// This reads N integers from stream s and puts them in array out.
template<typename IntType>
inline void read_little_endian(std::istream& stream, IntType* out, std::size_t count) {
if (IsLittleEndian)
stream.read(reinterpret_cast<char*>(out), sizeof(IntType) * count);
else
for (std::size_t i = 0; i < count; ++i)
out[i] = read_little_endian<IntType>(stream);
}
template <typename IntType>
inline void read_leb_128(std::istream& stream, IntType* out, std::size_t count) {
static_assert(std::is_signed_v<IntType>, "Not implemented for unsigned types");
char leb128MagicString[Leb128MagicStringSize];
stream.read(leb128MagicString, Leb128MagicStringSize);
assert(strncmp(Leb128MagicString, leb128MagicString, Leb128MagicStringSize) == 0);
const std::uint32_t BUF_SIZE = 4096;
std::uint8_t buf[BUF_SIZE];
auto bytes_left = read_little_endian<std::uint32_t>(stream);
std::uint32_t buf_pos = BUF_SIZE;
for (std::size_t i = 0; i < count; ++i) {
IntType result = 0;
size_t shift = 0;
do {
if (buf_pos == BUF_SIZE) {
stream.read(reinterpret_cast<char*>(buf), std::min(bytes_left, BUF_SIZE));
buf_pos = 0;
}
std::uint8_t byte = buf[buf_pos++];
--bytes_left;
result |= (byte & 0x7f) << shift;
shift += 7;
if ((byte & 0x80) == 0) {
out[i] = sizeof(IntType) * 8 <= shift || (byte & 0x40) == 0 ? result : result | ~((1 << shift) - 1);
break;
}
} while (shift < sizeof(IntType) * 8);
}
assert(bytes_left == 0);
}
template <typename IntType>
inline void write_leb_128(std::ostream& stream, const IntType* values, std::size_t count) {
static_assert(std::is_signed_v<IntType>, "Not implemented for unsigned types");
stream.write(Leb128MagicString, Leb128MagicStringSize);
std::uint32_t byte_count = 0;
for (std::size_t i = 0; i < count; ++i) {
IntType value = values[i];
std::uint8_t byte;
do {
byte = value & 0x7f;
value >>= 7;
++byte_count;
} while ((byte & 0x40) == 0 ? value != 0 : value != -1);
}
write_little_endian(stream, byte_count);
const std::uint32_t BUF_SIZE = 4096;
std::uint8_t buf[BUF_SIZE];
std::uint32_t buf_pos = 0;
auto flush = [&]() {
if (buf_pos > 0) {
stream.write(reinterpret_cast<char*>(buf), buf_pos);
buf_pos = 0;
}
};
auto write = [&](std::uint8_t byte) {
buf[buf_pos++] = byte;
if (buf_pos == BUF_SIZE) flush();
};
for (std::size_t i = 0; i < count; ++i) {
IntType value = values[i];
while (true) {
std::uint8_t byte = value & 0x7f;
value >>= 7;
if ((byte & 0x40) == 0 ? value == 0 : value == -1) {
write(byte);
break;
}
write(byte | 0x80);
}
}
flush();
}
// Write integers in bulk to a little-endian stream.
// This takes N integers from array values and writes them on stream s.
template<typename IntType>
inline void write_little_endian(std::ostream& stream, const IntType* values, std::size_t count) {
if (IsLittleEndian)
stream.write(reinterpret_cast<const char*>(values), sizeof(IntType) * count);
else
for (std::size_t i = 0; i < count; ++i)
write_little_endian<IntType>(stream, values[i]);
}
// Read N signed integers from the stream s, putting them in the array out.
// The stream is assumed to be compressed using the signed LEB128 format.
// See https://en.wikipedia.org/wiki/LEB128 for a description of the compression scheme.
template<typename IntType>
inline void read_leb_128(std::istream& stream, IntType* out, std::size_t count) {
// Check the presence of our LEB128 magic string
char leb128MagicString[Leb128MagicStringSize];
stream.read(leb128MagicString, Leb128MagicStringSize);
assert(strncmp(Leb128MagicString, leb128MagicString, Leb128MagicStringSize) == 0);
static_assert(std::is_signed_v<IntType>, "Not implemented for unsigned types");
const std::uint32_t BUF_SIZE = 4096;
std::uint8_t buf[BUF_SIZE];
auto bytes_left = read_little_endian<std::uint32_t>(stream);
std::uint32_t buf_pos = BUF_SIZE;
for (std::size_t i = 0; i < count; ++i)
{
IntType result = 0;
size_t shift = 0;
do
{
if (buf_pos == BUF_SIZE)
{
stream.read(reinterpret_cast<char*>(buf), std::min(bytes_left, BUF_SIZE));
buf_pos = 0;
}
std::uint8_t byte = buf[buf_pos++];
--bytes_left;
result |= (byte & 0x7f) << shift;
shift += 7;
if ((byte & 0x80) == 0)
{
out[i] = (sizeof(IntType) * 8 <= shift || (byte & 0x40) == 0)
? result
: result | ~((1 << shift) - 1);
break;
}
} while (shift < sizeof(IntType) * 8);
}
assert(bytes_left == 0);
}
// Write signed integers to a stream with LEB128 compression.
// This takes N integers from array values, compresses them with
// the LEB128 algorithm and writes the result on the stream s.
// See https://en.wikipedia.org/wiki/LEB128 for a description of the compression scheme.
template<typename IntType>
inline void write_leb_128(std::ostream& stream, const IntType* values, std::size_t count) {
// Write our LEB128 magic string
stream.write(Leb128MagicString, Leb128MagicStringSize);
static_assert(std::is_signed_v<IntType>, "Not implemented for unsigned types");
std::uint32_t byte_count = 0;
for (std::size_t i = 0; i < count; ++i)
{
IntType value = values[i];
std::uint8_t byte;
do
{
byte = value & 0x7f;
value >>= 7;
++byte_count;
} while ((byte & 0x40) == 0 ? value != 0 : value != -1);
}
write_little_endian(stream, byte_count);
const std::uint32_t BUF_SIZE = 4096;
std::uint8_t buf[BUF_SIZE];
std::uint32_t buf_pos = 0;
auto flush = [&]() {
if (buf_pos > 0)
{
stream.write(reinterpret_cast<char*>(buf), buf_pos);
buf_pos = 0;
}
};
auto write = [&](std::uint8_t byte) {
buf[buf_pos++] = byte;
if (buf_pos == BUF_SIZE)
flush();
};
for (std::size_t i = 0; i < count; ++i)
{
IntType value = values[i];
while (true)
{
std::uint8_t byte = value & 0x7f;
value >>= 7;
if ((byte & 0x40) == 0 ? value == 0 : value == -1)
{
write(byte);
break;
}
write(byte | 0x80);
}
}
flush();
}
} // namespace Stockfish::Eval::NNUE
#endif // #ifndef NNUE_COMMON_H_INCLUDED
#endif // #ifndef NNUE_COMMON_H_INCLUDED
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/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Stockfish is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include <algorithm>
#include <cassert>
#include "bitboard.h"
#include "pawns.h"
#include "position.h"
#include "thread.h"
namespace Stockfish {
namespace {
#define V Value
#define S(mg, eg) make_score(mg, eg)
// Pawn penalties
constexpr Score Backward = S( 6, 19);
constexpr Score Doubled = S(11, 51);
constexpr Score DoubledEarly = S(17, 7);
constexpr Score Isolated = S( 1, 20);
constexpr Score WeakLever = S( 2, 57);
constexpr Score WeakUnopposed = S(15, 18);
// Bonus for blocked pawns at 5th or 6th rank
constexpr Score BlockedPawn[2] = { S(-19, -8), S(-7, 3) };
constexpr Score BlockedStorm[RANK_NB] = {
S(0, 0), S(0, 0), S(64, 75), S(-3, 14), S(-12, 19), S(-7, 4), S(-10, 5)
};
// Connected pawn bonus
constexpr int Connected[RANK_NB] = { 0, 3, 7, 7, 15, 54, 86 };
// Strength of pawn shelter for our king by [distance from edge][rank].
// RANK_1 = 0 is used for files where we have no pawn, or pawn is behind our king.
constexpr Value ShelterStrength[int(FILE_NB) / 2][RANK_NB] = {
{ V(-2), V(85), V(95), V(53), V(39), V(23), V(25) },
{ V(-55), V(64), V(32), V(-55), V(-30), V(-11), V(-61) },
{ V(-11), V(75), V(19), V(-6), V(26), V(9), V(-47) },
{ V(-41), V(-11), V(-27), V(-58), V(-42), V(-66), V(-163) }
};
// Danger of enemy pawns moving toward our king by [distance from edge][rank].
// RANK_1 = 0 is used for files where the enemy has no pawn, or their pawn
// is behind our king. Note that UnblockedStorm[0][1-2] accommodate opponent pawn
// on edge, likely blocked by our king.
constexpr Value UnblockedStorm[int(FILE_NB) / 2][RANK_NB] = {
{ V(94), V(-280), V(-170), V(90), V(59), V(47), V(53) },
{ V(43), V(-17), V(128), V(39), V(26), V(-17), V(15) },
{ V(-9), V(62), V(170), V(34), V(-5), V(-20), V(-11) },
{ V(-27), V(-19), V(106), V(10), V(2), V(-13), V(-24) }
};
// KingOnFile[semi-open Us][semi-open Them] contains bonuses/penalties
// for king when the king is on a semi-open or open file.
constexpr Score KingOnFile[2][2] = {{ S(-18,11), S(-6,-3) },
{ S( 0, 0), S( 5,-4) }};
#undef S
#undef V
/// evaluate() calculates a score for the static pawn structure of the given position.
/// We cannot use the location of pieces or king in this function, as the evaluation
/// of the pawn structure will be stored in a small cache for speed reasons, and will
/// be re-used even when the pieces have moved.
template<Color Us>
Score evaluate(const Position& pos, Pawns::Entry* e) {
constexpr Color Them = ~Us;
constexpr Direction Up = pawn_push(Us);
constexpr Direction Down = -Up;
Bitboard neighbours, stoppers, support, phalanx, opposed;
Bitboard lever, leverPush, blocked;
Square s;
bool backward, passed, doubled;
Score score = SCORE_ZERO;
Bitboard b = pos.pieces(Us, PAWN);
Bitboard ourPawns = pos.pieces( Us, PAWN);
Bitboard theirPawns = pos.pieces(Them, PAWN);
Bitboard doubleAttackThem = pawn_double_attacks_bb<Them>(theirPawns);
e->passedPawns[Us] = 0;
e->kingSquares[Us] = SQ_NONE;
e->pawnAttacks[Us] = e->pawnAttacksSpan[Us] = pawn_attacks_bb<Us>(ourPawns);
e->blockedCount += popcount(shift<Up>(ourPawns) & (theirPawns | doubleAttackThem));
// Loop through all pawns of the current color and score each pawn
while (b)
{
s = pop_lsb(b);
assert(pos.piece_on(s) == make_piece(Us, PAWN));
Rank r = relative_rank(Us, s);
// Flag the pawn
opposed = theirPawns & forward_file_bb(Us, s);
blocked = theirPawns & (s + Up);
stoppers = theirPawns & passed_pawn_span(Us, s);
lever = theirPawns & pawn_attacks_bb(Us, s);
leverPush = theirPawns & pawn_attacks_bb(Us, s + Up);
doubled = ourPawns & (s - Up);
neighbours = ourPawns & adjacent_files_bb(s);
phalanx = neighbours & rank_bb(s);
support = neighbours & rank_bb(s - Up);
if (doubled)
{
// Additional doubled penalty if none of their pawns is fixed
if (!(ourPawns & shift<Down>(theirPawns | pawn_attacks_bb<Them>(theirPawns))))
score -= DoubledEarly;
}
// A pawn is backward when it is behind all pawns of the same color on
// the adjacent files and cannot safely advance.
backward = !(neighbours & forward_ranks_bb(Them, s + Up))
&& (leverPush | blocked);
// Compute additional span if pawn is not backward nor blocked
if (!backward && !blocked)
e->pawnAttacksSpan[Us] |= pawn_attack_span(Us, s);
// A pawn is passed if one of the three following conditions is true:
// (a) there is no stoppers except some levers
// (b) the only stoppers are the leverPush, but we outnumber them
// (c) there is only one front stopper which can be levered.
// (Refined in Evaluation::passed)
passed = !(stoppers ^ lever)
|| ( !(stoppers ^ leverPush)
&& popcount(phalanx) >= popcount(leverPush))
|| ( stoppers == blocked && r >= RANK_5
&& (shift<Up>(support) & ~(theirPawns | doubleAttackThem)));
passed &= !(forward_file_bb(Us, s) & ourPawns);
// Passed pawns will be properly scored later in evaluation when we have
// full attack info.
if (passed)
e->passedPawns[Us] |= s;
// Score this pawn
if (support | phalanx)
{
int v = Connected[r] * (2 + bool(phalanx) - bool(opposed))
+ 22 * popcount(support);
score += make_score(v, v * (r - 2) / 4);
}
else if (!neighbours)
{
if ( opposed
&& (ourPawns & forward_file_bb(Them, s))
&& !(theirPawns & adjacent_files_bb(s)))
score -= Doubled;
else
score -= Isolated
+ WeakUnopposed * !opposed;
}
else if (backward)
score -= Backward
+ WeakUnopposed * !opposed * bool(~(FileABB | FileHBB) & s);
if (!support)
score -= Doubled * doubled
+ WeakLever * more_than_one(lever);
if (blocked && r >= RANK_5)
score += BlockedPawn[r - RANK_5];
}
return score;
}
} // namespace
namespace Pawns {
/// Pawns::probe() looks up the current position's pawns configuration in
/// the pawns hash table. It returns a pointer to the Entry if the position
/// is found. Otherwise a new Entry is computed and stored there, so we don't
/// have to recompute all when the same pawns configuration occurs again.
Entry* probe(const Position& pos) {
Key key = pos.pawn_key();
Entry* e = pos.this_thread()->pawnsTable[key];
if (e->key == key)
return e;
e->key = key;
e->blockedCount = 0;
e->scores[WHITE] = evaluate<WHITE>(pos, e);
e->scores[BLACK] = evaluate<BLACK>(pos, e);
return e;
}
/// Entry::evaluate_shelter() calculates the shelter bonus and the storm
/// penalty for a king, looking at the king file and the two closest files.
template<Color Us>
Score Entry::evaluate_shelter(const Position& pos, Square ksq) const {
constexpr Color Them = ~Us;
Bitboard b = pos.pieces(PAWN) & ~forward_ranks_bb(Them, ksq);
Bitboard ourPawns = b & pos.pieces(Us) & ~pawnAttacks[Them];
Bitboard theirPawns = b & pos.pieces(Them);
Score bonus = make_score(5, 5);
File center = std::clamp(file_of(ksq), FILE_B, FILE_G);
for (File f = File(center - 1); f <= File(center + 1); ++f)
{
b = ourPawns & file_bb(f);
int ourRank = b ? relative_rank(Us, frontmost_sq(Them, b)) : 0;
b = theirPawns & file_bb(f);
int theirRank = b ? relative_rank(Us, frontmost_sq(Them, b)) : 0;
int d = edge_distance(f);
bonus += make_score(ShelterStrength[d][ourRank], 0);
if (ourRank && (ourRank == theirRank - 1))
bonus -= BlockedStorm[theirRank];
else
bonus -= make_score(UnblockedStorm[d][theirRank], 0);
}
// King On File
bonus -= KingOnFile[pos.is_on_semiopen_file(Us, ksq)][pos.is_on_semiopen_file(Them, ksq)];
return bonus;
}
/// Entry::do_king_safety() calculates a bonus for king safety. It is called only
/// when king square changes, which is about 20% of total king_safety() calls.
template<Color Us>
Score Entry::do_king_safety(const Position& pos) {
Square ksq = pos.square<KING>(Us);
kingSquares[Us] = ksq;
castlingRights[Us] = pos.castling_rights(Us);
auto compare = [](Score a, Score b) { return mg_value(a) < mg_value(b); };
Score shelter = evaluate_shelter<Us>(pos, ksq);
// If we can castle use the bonus after castling if it is bigger
if (pos.can_castle(Us & KING_SIDE))
shelter = std::max(shelter, evaluate_shelter<Us>(pos, relative_square(Us, SQ_G1)), compare);
if (pos.can_castle(Us & QUEEN_SIDE))
shelter = std::max(shelter, evaluate_shelter<Us>(pos, relative_square(Us, SQ_C1)), compare);
// In endgame we like to bring our king near our closest pawn
Bitboard pawns = pos.pieces(Us, PAWN);
int minPawnDist = 6;
if (pawns & attacks_bb<KING>(ksq))
minPawnDist = 1;
else while (pawns)
minPawnDist = std::min(minPawnDist, distance(ksq, pop_lsb(pawns)));
return shelter - make_score(0, 16 * minPawnDist);
}
// Explicit template instantiation
template Score Entry::do_king_safety<WHITE>(const Position& pos);
template Score Entry::do_king_safety<BLACK>(const Position& pos);
} // namespace Pawns
} // namespace Stockfish
-70
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@@ -1,70 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Stockfish is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef PAWNS_H_INCLUDED
#define PAWNS_H_INCLUDED
#include "misc.h"
#include "position.h"
#include "types.h"
namespace Stockfish::Pawns {
/// Pawns::Entry contains various information about a pawn structure. A lookup
/// to the pawn hash table (performed by calling the probe function) returns a
/// pointer to an Entry object.
struct Entry {
Score pawn_score(Color c) const { return scores[c]; }
Bitboard pawn_attacks(Color c) const { return pawnAttacks[c]; }
Bitboard passed_pawns(Color c) const { return passedPawns[c]; }
Bitboard pawn_attacks_span(Color c) const { return pawnAttacksSpan[c]; }
int passed_count() const { return popcount(passedPawns[WHITE] | passedPawns[BLACK]); }
int blocked_count() const { return blockedCount; }
template<Color Us>
Score king_safety(const Position& pos) {
return kingSquares[Us] == pos.square<KING>(Us) && castlingRights[Us] == pos.castling_rights(Us)
? kingSafety[Us] : (kingSafety[Us] = do_king_safety<Us>(pos));
}
template<Color Us>
Score do_king_safety(const Position& pos);
template<Color Us>
Score evaluate_shelter(const Position& pos, Square ksq) const;
Key key;
Score scores[COLOR_NB];
Bitboard passedPawns[COLOR_NB];
Bitboard pawnAttacks[COLOR_NB];
Bitboard pawnAttacksSpan[COLOR_NB];
Square kingSquares[COLOR_NB];
Score kingSafety[COLOR_NB];
int castlingRights[COLOR_NB];
int blockedCount;
};
using Table = HashTable<Entry, 131072>;
Entry* probe(const Position& pos);
} // namespace Stockfish::Pawns
#endif // #ifndef PAWNS_H_INCLUDED
+69
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@@ -0,0 +1,69 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Stockfish is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef PERFT_H_INCLUDED
#define PERFT_H_INCLUDED
#include <cstdint>
#include "movegen.h"
#include "position.h"
#include "types.h"
#include "uci.h"
namespace Stockfish {
// Utility to verify move generation. All the leaf nodes up
// to the given depth are generated and counted, and the sum is returned.
template<bool Root>
uint64_t perft(Position& pos, Depth depth) {
StateInfo st;
ASSERT_ALIGNED(&st, Eval::NNUE::CacheLineSize);
uint64_t cnt, nodes = 0;
const bool leaf = (depth == 2);
for (const auto& m : MoveList<LEGAL>(pos))
{
if (Root && depth <= 1)
cnt = 1, nodes++;
else
{
pos.do_move(m, st);
cnt = leaf ? MoveList<LEGAL>(pos).size() : perft<false>(pos, depth - 1);
nodes += cnt;
pos.undo_move(m);
}
if (Root)
sync_cout << UCI::move(m, pos.is_chess960()) << ": " << cnt << sync_endl;
}
return nodes;
}
inline void perft(const std::string& fen, Depth depth, bool isChess960) {
StateListPtr states(new std::deque<StateInfo>(1));
Position p;
p.set(fen, isChess960, &states->back());
uint64_t nodes = perft<true>(p, depth);
sync_cout << "\nNodes searched: " << nodes << "\n" << sync_endl;
}
}
#endif // PERFT_H_INCLUDED
+892 -947
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+225 -311
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@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -21,430 +21,344 @@
#include <cassert>
#include <deque>
#include <memory> // For std::unique_ptr
#include <iosfwd>
#include <memory>
#include <string>
#include "bitboard.h"
#include "evaluate.h"
#include "psqt.h"
#include "types.h"
#include "nnue/nnue_accumulator.h"
#include "nnue/nnue_architecture.h"
#include "types.h"
namespace Stockfish {
/// StateInfo struct stores information needed to restore a Position object to
/// its previous state when we retract a move. Whenever a move is made on the
/// board (by calling Position::do_move), a StateInfo object must be passed.
class TranspositionTable;
// StateInfo struct stores information needed to restore a Position object to
// its previous state when we retract a move. Whenever a move is made on the
// board (by calling Position::do_move), a StateInfo object must be passed.
struct StateInfo {
// Copied when making a move
Key pawnKey;
Key materialKey;
Value nonPawnMaterial[COLOR_NB];
int castlingRights;
int rule50;
int pliesFromNull;
Square epSquare;
// Copied when making a move
Key materialKey;
Key pawnKey;
Value nonPawnMaterial[COLOR_NB];
int castlingRights;
int rule50;
int pliesFromNull;
Square epSquare;
// Not copied when making a move (will be recomputed anyhow)
Key key;
Bitboard checkersBB;
StateInfo* previous;
Bitboard blockersForKing[COLOR_NB];
Bitboard pinners[COLOR_NB];
Bitboard checkSquares[PIECE_TYPE_NB];
Piece capturedPiece;
int repetition;
// Not copied when making a move (will be recomputed anyhow)
Key key;
Bitboard checkersBB;
StateInfo* previous;
Bitboard blockersForKing[COLOR_NB];
Bitboard pinners[COLOR_NB];
Bitboard checkSquares[PIECE_TYPE_NB];
Piece capturedPiece;
int repetition;
// Used by NNUE
Eval::NNUE::Accumulator accumulator;
DirtyPiece dirtyPiece;
// Used by NNUE
Eval::NNUE::Accumulator<Eval::NNUE::TransformedFeatureDimensionsBig> accumulatorBig;
Eval::NNUE::Accumulator<Eval::NNUE::TransformedFeatureDimensionsSmall> accumulatorSmall;
DirtyPiece dirtyPiece;
};
/// A list to keep track of the position states along the setup moves (from the
/// start position to the position just before the search starts). Needed by
/// 'draw by repetition' detection. Use a std::deque because pointers to
/// elements are not invalidated upon list resizing.
// A list to keep track of the position states along the setup moves (from the
// start position to the position just before the search starts). Needed by
// 'draw by repetition' detection. Use a std::deque because pointers to
// elements are not invalidated upon list resizing.
using StateListPtr = std::unique_ptr<std::deque<StateInfo>>;
/// Position class stores information regarding the board representation as
/// pieces, side to move, hash keys, castling info, etc. Important methods are
/// do_move() and undo_move(), used by the search to update node info when
/// traversing the search tree.
class Thread;
// Position class stores information regarding the board representation as
// pieces, side to move, hash keys, castling info, etc. Important methods are
// do_move() and undo_move(), used by the search to update node info when
// traversing the search tree.
class Position {
public:
static void init();
public:
static void init();
Position() = default;
Position(const Position&) = delete;
Position& operator=(const Position&) = delete;
Position() = default;
Position(const Position&) = delete;
Position& operator=(const Position&) = delete;
// FEN string input/output
Position& set(const std::string& fenStr, bool isChess960, StateInfo* si, Thread* th);
Position& set(const std::string& code, Color c, StateInfo* si);
std::string fen() const;
// FEN string input/output
Position& set(const std::string& fenStr, bool isChess960, StateInfo* si);
Position& set(const std::string& code, Color c, StateInfo* si);
std::string fen() const;
// Position representation
Bitboard pieces(PieceType pt) const;
template<typename ...PieceTypes> Bitboard pieces(PieceType pt, PieceTypes... pts) const;
Bitboard pieces(Color c) const;
template<typename ...PieceTypes> Bitboard pieces(Color c, PieceTypes... pts) const;
Piece piece_on(Square s) const;
Square ep_square() const;
bool empty(Square s) const;
template<PieceType Pt> int count(Color c) const;
template<PieceType Pt> int count() const;
template<PieceType Pt> Square square(Color c) const;
bool is_on_semiopen_file(Color c, Square s) const;
// Position representation
Bitboard pieces(PieceType pt = ALL_PIECES) const;
template<typename... PieceTypes>
Bitboard pieces(PieceType pt, PieceTypes... pts) const;
Bitboard pieces(Color c) const;
template<typename... PieceTypes>
Bitboard pieces(Color c, PieceTypes... pts) const;
Piece piece_on(Square s) const;
Square ep_square() const;
bool empty(Square s) const;
template<PieceType Pt>
int count(Color c) const;
template<PieceType Pt>
int count() const;
template<PieceType Pt>
Square square(Color c) const;
// Castling
CastlingRights castling_rights(Color c) const;
bool can_castle(CastlingRights cr) const;
bool castling_impeded(CastlingRights cr) const;
Square castling_rook_square(CastlingRights cr) const;
// Castling
CastlingRights castling_rights(Color c) const;
bool can_castle(CastlingRights cr) const;
bool castling_impeded(CastlingRights cr) const;
Square castling_rook_square(CastlingRights cr) const;
// Checking
Bitboard checkers() const;
Bitboard blockers_for_king(Color c) const;
Bitboard check_squares(PieceType pt) const;
Bitboard pinners(Color c) const;
// Checking
Bitboard checkers() const;
Bitboard blockers_for_king(Color c) const;
Bitboard check_squares(PieceType pt) const;
Bitboard pinners(Color c) const;
// Attacks to/from a given square
Bitboard attackers_to(Square s) const;
Bitboard attackers_to(Square s, Bitboard occupied) const;
Bitboard slider_blockers(Bitboard sliders, Square s, Bitboard& pinners) const;
template<PieceType Pt> Bitboard attacks_by(Color c) const;
// Attacks to/from a given square
Bitboard attackers_to(Square s) const;
Bitboard attackers_to(Square s, Bitboard occupied) const;
void update_slider_blockers(Color c) const;
template<PieceType Pt>
Bitboard attacks_by(Color c) const;
// Properties of moves
bool legal(Move m) const;
bool pseudo_legal(const Move m) const;
bool capture(Move m) const;
bool capture_stage(Move m) const;
bool gives_check(Move m) const;
Piece moved_piece(Move m) const;
Piece captured_piece() const;
// Properties of moves
bool legal(Move m) const;
bool pseudo_legal(const Move m) const;
bool capture(Move m) const;
bool capture_stage(Move m) const;
bool gives_check(Move m) const;
Piece moved_piece(Move m) const;
Piece captured_piece() const;
// Piece specific
bool pawn_passed(Color c, Square s) const;
bool opposite_bishops() const;
int pawns_on_same_color_squares(Color c, Square s) const;
// Doing and undoing moves
void do_move(Move m, StateInfo& newSt);
void do_move(Move m, StateInfo& newSt, bool givesCheck);
void undo_move(Move m);
void do_null_move(StateInfo& newSt, TranspositionTable& tt);
void undo_null_move();
// Doing and undoing moves
void do_move(Move m, StateInfo& newSt);
void do_move(Move m, StateInfo& newSt, bool givesCheck);
void undo_move(Move m);
void do_null_move(StateInfo& newSt);
void undo_null_move();
// Static Exchange Evaluation
bool see_ge(Move m, int threshold = 0) const;
// Static Exchange Evaluation
bool see_ge(Move m, Value threshold = VALUE_ZERO) const;
bool see_ge(Move m, Bitboard& occupied, Value threshold = VALUE_ZERO) const;
// Accessing hash keys
Key key() const;
Key key_after(Move m) const;
Key material_key() const;
Key pawn_key() const;
// Accessing hash keys
Key key() const;
Key key_after(Move m) const;
Key material_key() const;
Key pawn_key() const;
// Other properties of the position
Color side_to_move() const;
int game_ply() const;
bool is_chess960() const;
bool is_draw(int ply) const;
bool has_game_cycle(int ply) const;
bool has_repeated() const;
int rule50_count() const;
Value non_pawn_material(Color c) const;
Value non_pawn_material() const;
// Other properties of the position
Color side_to_move() const;
int game_ply() const;
bool is_chess960() const;
Thread* this_thread() const;
bool is_draw(int ply) const;
bool has_game_cycle(int ply) const;
bool has_repeated() const;
int rule50_count() const;
Score psq_score() const;
Value psq_eg_stm() const;
Value non_pawn_material(Color c) const;
Value non_pawn_material() const;
// Position consistency check, for debugging
bool pos_is_ok() const;
void flip();
// Position consistency check, for debugging
bool pos_is_ok() const;
void flip();
// Used by NNUE
StateInfo* state() const;
// Used by NNUE
StateInfo* state() const;
void put_piece(Piece pc, Square s);
void remove_piece(Square s);
void put_piece(Piece pc, Square s);
void remove_piece(Square s);
private:
// Initialization helpers (used while setting up a position)
void set_castling_right(Color c, Square rfrom);
void set_state() const;
void set_check_info() const;
private:
// Initialization helpers (used while setting up a position)
void set_castling_right(Color c, Square rfrom);
void set_state() const;
void set_check_info() const;
// Other helpers
void move_piece(Square from, Square to);
template<bool Do>
void do_castling(Color us, Square from, Square& to, Square& rfrom, Square& rto);
template<bool AfterMove>
Key adjust_key50(Key k) const;
// Other helpers
void move_piece(Square from, Square to);
template<bool Do>
void do_castling(Color us, Square from, Square& to, Square& rfrom, Square& rto);
template<bool AfterMove>
Key adjust_key50(Key k) const;
// Data members
Piece board[SQUARE_NB];
Bitboard byTypeBB[PIECE_TYPE_NB];
Bitboard byColorBB[COLOR_NB];
int pieceCount[PIECE_NB];
int castlingRightsMask[SQUARE_NB];
Square castlingRookSquare[CASTLING_RIGHT_NB];
Bitboard castlingPath[CASTLING_RIGHT_NB];
Thread* thisThread;
StateInfo* st;
int gamePly;
Color sideToMove;
Score psq;
bool chess960;
// Data members
Piece board[SQUARE_NB];
Bitboard byTypeBB[PIECE_TYPE_NB];
Bitboard byColorBB[COLOR_NB];
int pieceCount[PIECE_NB];
int castlingRightsMask[SQUARE_NB];
Square castlingRookSquare[CASTLING_RIGHT_NB];
Bitboard castlingPath[CASTLING_RIGHT_NB];
StateInfo* st;
int gamePly;
Color sideToMove;
bool chess960;
};
std::ostream& operator<<(std::ostream& os, const Position& pos);
inline Color Position::side_to_move() const {
return sideToMove;
}
inline Color Position::side_to_move() const { return sideToMove; }
inline Piece Position::piece_on(Square s) const {
assert(is_ok(s));
return board[s];
assert(is_ok(s));
return board[s];
}
inline bool Position::empty(Square s) const {
return piece_on(s) == NO_PIECE;
}
inline bool Position::empty(Square s) const { return piece_on(s) == NO_PIECE; }
inline Piece Position::moved_piece(Move m) const {
return piece_on(from_sq(m));
}
inline Piece Position::moved_piece(Move m) const { return piece_on(m.from_sq()); }
inline Bitboard Position::pieces(PieceType pt = ALL_PIECES) const {
return byTypeBB[pt];
}
inline Bitboard Position::pieces(PieceType pt) const { return byTypeBB[pt]; }
template<typename ...PieceTypes>
template<typename... PieceTypes>
inline Bitboard Position::pieces(PieceType pt, PieceTypes... pts) const {
return pieces(pt) | pieces(pts...);
return pieces(pt) | pieces(pts...);
}
inline Bitboard Position::pieces(Color c) const {
return byColorBB[c];
}
inline Bitboard Position::pieces(Color c) const { return byColorBB[c]; }
template<typename ...PieceTypes>
template<typename... PieceTypes>
inline Bitboard Position::pieces(Color c, PieceTypes... pts) const {
return pieces(c) & pieces(pts...);
return pieces(c) & pieces(pts...);
}
template<PieceType Pt> inline int Position::count(Color c) const {
return pieceCount[make_piece(c, Pt)];
template<PieceType Pt>
inline int Position::count(Color c) const {
return pieceCount[make_piece(c, Pt)];
}
template<PieceType Pt> inline int Position::count() const {
return count<Pt>(WHITE) + count<Pt>(BLACK);
template<PieceType Pt>
inline int Position::count() const {
return count<Pt>(WHITE) + count<Pt>(BLACK);
}
template<PieceType Pt> inline Square Position::square(Color c) const {
assert(count<Pt>(c) == 1);
return lsb(pieces(c, Pt));
template<PieceType Pt>
inline Square Position::square(Color c) const {
assert(count<Pt>(c) == 1);
return lsb(pieces(c, Pt));
}
inline Square Position::ep_square() const {
return st->epSquare;
}
inline Square Position::ep_square() const { return st->epSquare; }
inline bool Position::is_on_semiopen_file(Color c, Square s) const {
return !(pieces(c, PAWN) & file_bb(s));
}
inline bool Position::can_castle(CastlingRights cr) const {
return st->castlingRights & cr;
}
inline bool Position::can_castle(CastlingRights cr) const { return st->castlingRights & cr; }
inline CastlingRights Position::castling_rights(Color c) const {
return c & CastlingRights(st->castlingRights);
return c & CastlingRights(st->castlingRights);
}
inline bool Position::castling_impeded(CastlingRights cr) const {
assert(cr == WHITE_OO || cr == WHITE_OOO || cr == BLACK_OO || cr == BLACK_OOO);
return pieces() & castlingPath[cr];
assert(cr == WHITE_OO || cr == WHITE_OOO || cr == BLACK_OO || cr == BLACK_OOO);
return pieces() & castlingPath[cr];
}
inline Square Position::castling_rook_square(CastlingRights cr) const {
assert(cr == WHITE_OO || cr == WHITE_OOO || cr == BLACK_OO || cr == BLACK_OOO);
return castlingRookSquare[cr];
assert(cr == WHITE_OO || cr == WHITE_OOO || cr == BLACK_OO || cr == BLACK_OOO);
return castlingRookSquare[cr];
}
inline Bitboard Position::attackers_to(Square s) const {
return attackers_to(s, pieces());
}
inline Bitboard Position::attackers_to(Square s) const { return attackers_to(s, pieces()); }
template<PieceType Pt>
inline Bitboard Position::attacks_by(Color c) const {
if constexpr (Pt == PAWN)
return c == WHITE ? pawn_attacks_bb<WHITE>(pieces(WHITE, PAWN))
: pawn_attacks_bb<BLACK>(pieces(BLACK, PAWN));
else
{
Bitboard threats = 0;
Bitboard attackers = pieces(c, Pt);
while (attackers)
threats |= attacks_bb<Pt>(pop_lsb(attackers), pieces());
return threats;
}
if constexpr (Pt == PAWN)
return c == WHITE ? pawn_attacks_bb<WHITE>(pieces(WHITE, PAWN))
: pawn_attacks_bb<BLACK>(pieces(BLACK, PAWN));
else
{
Bitboard threats = 0;
Bitboard attackers = pieces(c, Pt);
while (attackers)
threats |= attacks_bb<Pt>(pop_lsb(attackers), pieces());
return threats;
}
}
inline Bitboard Position::checkers() const {
return st->checkersBB;
}
inline Bitboard Position::checkers() const { return st->checkersBB; }
inline Bitboard Position::blockers_for_king(Color c) const {
return st->blockersForKing[c];
}
inline Bitboard Position::blockers_for_king(Color c) const { return st->blockersForKing[c]; }
inline Bitboard Position::pinners(Color c) const {
return st->pinners[c];
}
inline Bitboard Position::pinners(Color c) const { return st->pinners[c]; }
inline Bitboard Position::check_squares(PieceType pt) const {
return st->checkSquares[pt];
}
inline Bitboard Position::check_squares(PieceType pt) const { return st->checkSquares[pt]; }
inline bool Position::pawn_passed(Color c, Square s) const {
return !(pieces(~c, PAWN) & passed_pawn_span(c, s));
}
inline int Position::pawns_on_same_color_squares(Color c, Square s) const {
return popcount(pieces(c, PAWN) & ((DarkSquares & s) ? DarkSquares : ~DarkSquares));
}
inline Key Position::key() const {
return adjust_key50<false>(st->key);
}
inline Key Position::key() const { return adjust_key50<false>(st->key); }
template<bool AfterMove>
inline Key Position::adjust_key50(Key k) const
{
return st->rule50 < 14 - AfterMove
? k : k ^ make_key((st->rule50 - (14 - AfterMove)) / 8);
inline Key Position::adjust_key50(Key k) const {
return st->rule50 < 14 - AfterMove ? k : k ^ make_key((st->rule50 - (14 - AfterMove)) / 8);
}
inline Key Position::pawn_key() const {
return st->pawnKey;
}
inline Key Position::pawn_key() const { return st->pawnKey; }
inline Key Position::material_key() const {
return st->materialKey;
}
inline Key Position::material_key() const { return st->materialKey; }
inline Score Position::psq_score() const {
return psq;
}
inline Value Position::psq_eg_stm() const {
return (sideToMove == WHITE ? 1 : -1) * eg_value(psq);
}
inline Value Position::non_pawn_material(Color c) const {
return st->nonPawnMaterial[c];
}
inline Value Position::non_pawn_material(Color c) const { return st->nonPawnMaterial[c]; }
inline Value Position::non_pawn_material() const {
return non_pawn_material(WHITE) + non_pawn_material(BLACK);
return non_pawn_material(WHITE) + non_pawn_material(BLACK);
}
inline int Position::game_ply() const {
return gamePly;
}
inline int Position::game_ply() const { return gamePly; }
inline int Position::rule50_count() const {
return st->rule50;
}
inline int Position::rule50_count() const { return st->rule50; }
inline bool Position::opposite_bishops() const {
return count<BISHOP>(WHITE) == 1
&& count<BISHOP>(BLACK) == 1
&& opposite_colors(square<BISHOP>(WHITE), square<BISHOP>(BLACK));
}
inline bool Position::is_chess960() const {
return chess960;
}
inline bool Position::is_chess960() const { return chess960; }
inline bool Position::capture(Move m) const {
assert(is_ok(m));
return (!empty(to_sq(m)) && type_of(m) != CASTLING)
|| type_of(m) == EN_PASSANT;
assert(m.is_ok());
return (!empty(m.to_sq()) && m.type_of() != CASTLING) || m.type_of() == EN_PASSANT;
}
// returns true if a move is generated from the capture stage
// having also queen promotions covered, i.e. consistency with the capture stage move generation
// Returns true if a move is generated from the capture stage, having also
// queen promotions covered, i.e. consistency with the capture stage move generation
// is needed to avoid the generation of duplicate moves.
inline bool Position::capture_stage(Move m) const {
assert(is_ok(m));
return capture(m) || promotion_type(m) == QUEEN;
assert(m.is_ok());
return capture(m) || m.promotion_type() == QUEEN;
}
inline Piece Position::captured_piece() const {
return st->capturedPiece;
}
inline Thread* Position::this_thread() const {
return thisThread;
}
inline Piece Position::captured_piece() const { return st->capturedPiece; }
inline void Position::put_piece(Piece pc, Square s) {
board[s] = pc;
byTypeBB[ALL_PIECES] |= byTypeBB[type_of(pc)] |= s;
byColorBB[color_of(pc)] |= s;
pieceCount[pc]++;
pieceCount[make_piece(color_of(pc), ALL_PIECES)]++;
psq += PSQT::psq[pc][s];
board[s] = pc;
byTypeBB[ALL_PIECES] |= byTypeBB[type_of(pc)] |= s;
byColorBB[color_of(pc)] |= s;
pieceCount[pc]++;
pieceCount[make_piece(color_of(pc), ALL_PIECES)]++;
}
inline void Position::remove_piece(Square s) {
Piece pc = board[s];
byTypeBB[ALL_PIECES] ^= s;
byTypeBB[type_of(pc)] ^= s;
byColorBB[color_of(pc)] ^= s;
board[s] = NO_PIECE;
pieceCount[pc]--;
pieceCount[make_piece(color_of(pc), ALL_PIECES)]--;
psq -= PSQT::psq[pc][s];
Piece pc = board[s];
byTypeBB[ALL_PIECES] ^= s;
byTypeBB[type_of(pc)] ^= s;
byColorBB[color_of(pc)] ^= s;
board[s] = NO_PIECE;
pieceCount[pc]--;
pieceCount[make_piece(color_of(pc), ALL_PIECES)]--;
}
inline void Position::move_piece(Square from, Square to) {
Piece pc = board[from];
Bitboard fromTo = from | to;
byTypeBB[ALL_PIECES] ^= fromTo;
byTypeBB[type_of(pc)] ^= fromTo;
byColorBB[color_of(pc)] ^= fromTo;
board[from] = NO_PIECE;
board[to] = pc;
psq += PSQT::psq[pc][to] - PSQT::psq[pc][from];
Piece pc = board[from];
Bitboard fromTo = from | to;
byTypeBB[ALL_PIECES] ^= fromTo;
byTypeBB[type_of(pc)] ^= fromTo;
byColorBB[color_of(pc)] ^= fromTo;
board[from] = NO_PIECE;
board[to] = pc;
}
inline void Position::do_move(Move m, StateInfo& newSt) {
do_move(m, newSt, gives_check(m));
}
inline void Position::do_move(Move m, StateInfo& newSt) { do_move(m, newSt, gives_check(m)); }
inline StateInfo* Position::state() const {
inline StateInfo* Position::state() const { return st; }
return st;
}
} // namespace Stockfish
} // namespace Stockfish
#endif // #ifndef POSITION_H_INCLUDED
#endif // #ifndef POSITION_H_INCLUDED
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/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Stockfish is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "psqt.h"
#include <algorithm>
#include "bitboard.h"
#include "types.h"
namespace Stockfish {
namespace
{
auto constexpr S = make_score;
// 'Bonus' contains Piece-Square parameters.
// Scores are explicit for files A to D, implicitly mirrored for E to H.
constexpr Score Bonus[][RANK_NB][int(FILE_NB) / 2] = {
{ },
{ },
{ // Knight
{ S(-175, -96), S(-92,-65), S(-74,-49), S(-73,-21) },
{ S( -77, -67), S(-41,-54), S(-27,-18), S(-15, 8) },
{ S( -61, -40), S(-17,-27), S( 6, -8), S( 12, 29) },
{ S( -35, -35), S( 8, -2), S( 40, 13), S( 49, 28) },
{ S( -34, -45), S( 13,-16), S( 44, 9), S( 51, 39) },
{ S( -9, -51), S( 22,-44), S( 58,-16), S( 53, 17) },
{ S( -67, -69), S(-27,-50), S( 4,-51), S( 37, 12) },
{ S(-201,-100), S(-83,-88), S(-56,-56), S(-26,-17) }
},
{ // Bishop
{ S(-37,-40), S(-4 ,-21), S( -6,-26), S(-16, -8) },
{ S(-11,-26), S( 6, -9), S( 13,-12), S( 3, 1) },
{ S(-5 ,-11), S( 15, -1), S( -4, -1), S( 12, 7) },
{ S(-4 ,-14), S( 8, -4), S( 18, 0), S( 27, 12) },
{ S(-8 ,-12), S( 20, -1), S( 15,-10), S( 22, 11) },
{ S(-11,-21), S( 4, 4), S( 1, 3), S( 8, 4) },
{ S(-12,-22), S(-10,-14), S( 4, -1), S( 0, 1) },
{ S(-34,-32), S( 1,-29), S(-10,-26), S(-16,-17) }
},
{ // Rook
{ S(-31, -9), S(-20,-13), S(-14,-10), S(-5, -9) },
{ S(-21,-12), S(-13, -9), S( -8, -1), S( 6, -2) },
{ S(-25, 6), S(-11, -8), S( -1, -2), S( 3, -6) },
{ S(-13, -6), S( -5, 1), S( -4, -9), S(-6, 7) },
{ S(-27, -5), S(-15, 8), S( -4, 7), S( 3, -6) },
{ S(-22, 6), S( -2, 1), S( 6, -7), S(12, 10) },
{ S( -2, 4), S( 12, 5), S( 16, 20), S(18, -5) },
{ S(-17, 18), S(-19, 0), S( -1, 19), S( 9, 13) }
},
{ // Queen
{ S( 3,-69), S(-5,-57), S(-5,-47), S( 4,-26) },
{ S(-3,-54), S( 5,-31), S( 8,-22), S(12, -4) },
{ S(-3,-39), S( 6,-18), S(13, -9), S( 7, 3) },
{ S( 4,-23), S( 5, -3), S( 9, 13), S( 8, 24) },
{ S( 0,-29), S(14, -6), S(12, 9), S( 5, 21) },
{ S(-4,-38), S(10,-18), S( 6,-11), S( 8, 1) },
{ S(-5,-50), S( 6,-27), S(10,-24), S( 8, -8) },
{ S(-2,-74), S(-2,-52), S( 1,-43), S(-2,-34) }
},
{ // King
{ S(271, 1), S(327, 45), S(271, 85), S(198, 76) },
{ S(278, 53), S(303,100), S(234,133), S(179,135) },
{ S(195, 88), S(258,130), S(169,169), S(120,175) },
{ S(164,103), S(190,156), S(138,172), S( 98,172) },
{ S(154, 96), S(179,166), S(105,199), S( 70,199) },
{ S(123, 92), S(145,172), S( 81,184), S( 31,191) },
{ S( 88, 47), S(120,121), S( 65,116), S( 33,131) },
{ S( 59, 11), S( 89, 59), S( 45, 73), S( -1, 78) }
}
};
constexpr Score PBonus[RANK_NB][FILE_NB] =
{ // Pawn (asymmetric distribution)
{ },
{ S( 2, -8), S( 4, -6), S( 11, 9), S( 18, 5), S( 16, 16), S( 21, 6), S( 9, -6), S( -3,-18) },
{ S( -9, -9), S(-15, -7), S( 11,-10), S( 15, 5), S( 31, 2), S( 23, 3), S( 6, -8), S(-20, -5) },
{ S( -3, 7), S(-20, 1), S( 8, -8), S( 19, -2), S( 39,-14), S( 17,-13), S( 2,-11), S( -5, -6) },
{ S( 11, 12), S( -4, 6), S(-11, 2), S( 2, -6), S( 11, -5), S( 0, -4), S(-12, 14), S( 5, 9) },
{ S( 3, 27), S(-11, 18), S( -6, 19), S( 22, 29), S( -8, 30), S( -5, 9), S(-14, 8), S(-11, 14) },
{ S( -7, -1), S( 6,-14), S( -2, 13), S(-11, 22), S( 4, 24), S(-14, 17), S( 10, 7), S( -9, 7) }
};
} // namespace
namespace PSQT
{
Score psq[PIECE_NB][SQUARE_NB];
// PSQT::init() initializes piece-square tables: the white halves of the tables are
// copied from Bonus[] and PBonus[], adding the piece value, then the black halves of
// the tables are initialized by flipping and changing the sign of the white scores.
void init() {
for (Piece pc : {W_PAWN, W_KNIGHT, W_BISHOP, W_ROOK, W_QUEEN, W_KING})
{
Score score = make_score(PieceValue[MG][pc], PieceValue[EG][pc]);
for (Square s = SQ_A1; s <= SQ_H8; ++s)
{
File f = File(edge_distance(file_of(s)));
psq[ pc][s] = score + (type_of(pc) == PAWN ? PBonus[rank_of(s)][file_of(s)]
: Bonus[pc][rank_of(s)][f]);
psq[~pc][flip_rank(s)] = -psq[pc][s];
}
}
}
} // namespace PSQT
} // namespace Stockfish
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/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Stockfish is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef PSQT_H_INCLUDED
#define PSQT_H_INCLUDED
#include "types.h"
namespace Stockfish::PSQT
{
extern Score psq[PIECE_NB][SQUARE_NB];
// Fill psqt array from a set of internally linked parameters
void init();
} // namespace Stockfish::PSQT
#endif // PSQT_H_INCLUDED
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/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -19,98 +19,243 @@
#ifndef SEARCH_H_INCLUDED
#define SEARCH_H_INCLUDED
#include <array>
#include <atomic>
#include <cassert>
#include <cstddef>
#include <cstdint>
#include <memory>
#include <vector>
#include <string>
#include "misc.h"
#include "movepick.h"
#include "position.h"
#include "syzygy/tbprobe.h"
#include "timeman.h"
#include "types.h"
namespace Stockfish {
class Position;
// Different node types, used as a template parameter
enum NodeType {
NonPV,
PV,
Root
};
class TranspositionTable;
class ThreadPool;
class OptionsMap;
namespace Search {
/// Stack struct keeps track of the information we need to remember from nodes
/// shallower and deeper in the tree during the search. Each search thread has
/// its own array of Stack objects, indexed by the current ply.
// Stack struct keeps track of the information we need to remember from nodes
// shallower and deeper in the tree during the search. Each search thread has
// its own array of Stack objects, indexed by the current ply.
struct Stack {
Move* pv;
PieceToHistory* continuationHistory;
int ply;
Move currentMove;
Move excludedMove;
Move killers[2];
Value staticEval;
int statScore;
int moveCount;
bool inCheck;
bool ttPv;
bool ttHit;
int doubleExtensions;
int cutoffCnt;
Move* pv;
PieceToHistory* continuationHistory;
int ply;
Move currentMove;
Move excludedMove;
Move killers[2];
Value staticEval;
int statScore;
int moveCount;
bool inCheck;
bool ttPv;
bool ttHit;
int multipleExtensions;
int cutoffCnt;
};
/// RootMove struct is used for moves at the root of the tree. For each root move
/// we store a score and a PV (really a refutation in the case of moves which
/// fail low). Score is normally set at -VALUE_INFINITE for all non-pv moves.
// RootMove struct is used for moves at the root of the tree. For each root move
// we store a score and a PV (really a refutation in the case of moves which
// fail low). Score is normally set at -VALUE_INFINITE for all non-pv moves.
struct RootMove {
explicit RootMove(Move m) : pv(1, m) {}
bool extract_ponder_from_tt(Position& pos);
bool operator==(const Move& m) const { return pv[0] == m; }
bool operator<(const RootMove& m) const { // Sort in descending order
return m.score != score ? m.score < score
: m.previousScore < previousScore;
}
explicit RootMove(Move m) :
pv(1, m) {}
bool extract_ponder_from_tt(const TranspositionTable& tt, Position& pos);
bool operator==(const Move& m) const { return pv[0] == m; }
// Sort in descending order
bool operator<(const RootMove& m) const {
return m.score != score ? m.score < score : m.previousScore < previousScore;
}
Value score = -VALUE_INFINITE;
Value previousScore = -VALUE_INFINITE;
Value averageScore = -VALUE_INFINITE;
Value uciScore = -VALUE_INFINITE;
bool scoreLowerbound = false;
bool scoreUpperbound = false;
int selDepth = 0;
int tbRank = 0;
Value tbScore;
std::vector<Move> pv;
Value score = -VALUE_INFINITE;
Value previousScore = -VALUE_INFINITE;
Value averageScore = -VALUE_INFINITE;
Value uciScore = -VALUE_INFINITE;
bool scoreLowerbound = false;
bool scoreUpperbound = false;
int selDepth = 0;
int tbRank = 0;
Value tbScore;
std::vector<Move> pv;
};
using RootMoves = std::vector<RootMove>;
/// LimitsType struct stores information sent by GUI about available time to
/// search the current move, maximum depth/time, or if we are in analysis mode.
// LimitsType struct stores information sent by GUI about available time to
// search the current move, maximum depth/time, or if we are in analysis mode.
struct LimitsType {
LimitsType() { // Init explicitly due to broken value-initialization of non POD in MSVC
time[WHITE] = time[BLACK] = inc[WHITE] = inc[BLACK] = npmsec = movetime = TimePoint(0);
movestogo = depth = mate = perft = infinite = 0;
nodes = 0;
}
// Init explicitly due to broken value-initialization of non POD in MSVC
LimitsType() {
time[WHITE] = time[BLACK] = inc[WHITE] = inc[BLACK] = npmsec = movetime = TimePoint(0);
movestogo = depth = mate = perft = infinite = 0;
nodes = 0;
}
bool use_time_management() const {
return time[WHITE] || time[BLACK];
}
bool use_time_management() const { return time[WHITE] || time[BLACK]; }
std::vector<Move> searchmoves;
TimePoint time[COLOR_NB], inc[COLOR_NB], npmsec, movetime, startTime;
int movestogo, depth, mate, perft, infinite;
int64_t nodes;
std::vector<Move> searchmoves;
TimePoint time[COLOR_NB], inc[COLOR_NB], npmsec, movetime, startTime;
int movestogo, depth, mate, perft, infinite;
uint64_t nodes;
};
extern LimitsType Limits;
void init();
void clear();
// The UCI stores the uci options, thread pool, and transposition table.
// This struct is used to easily forward data to the Search::Worker class.
struct SharedState {
SharedState(const OptionsMap& optionsMap,
ThreadPool& threadPool,
TranspositionTable& transpositionTable) :
options(optionsMap),
threads(threadPool),
tt(transpositionTable) {}
} // namespace Search
const OptionsMap& options;
ThreadPool& threads;
TranspositionTable& tt;
};
} // namespace Stockfish
class Worker;
#endif // #ifndef SEARCH_H_INCLUDED
// Null Object Pattern, implement a common interface for the SearchManagers.
// A Null Object will be given to non-mainthread workers.
class ISearchManager {
public:
virtual ~ISearchManager() {}
virtual void check_time(Search::Worker&) = 0;
};
// SearchManager manages the search from the main thread. It is responsible for
// keeping track of the time, and storing data strictly related to the main thread.
class SearchManager: public ISearchManager {
public:
void check_time(Search::Worker& worker) override;
std::string pv(const Search::Worker& worker,
const ThreadPool& threads,
const TranspositionTable& tt,
Depth depth) const;
Stockfish::TimeManagement tm;
int callsCnt;
std::atomic_bool ponder;
std::array<Value, 4> iterValue;
double previousTimeReduction;
Value bestPreviousScore;
Value bestPreviousAverageScore;
bool stopOnPonderhit;
size_t id;
};
class NullSearchManager: public ISearchManager {
public:
void check_time(Search::Worker&) override {}
};
// Search::Worker is the class that does the actual search.
// It is instantiated once per thread, and it is responsible for keeping track
// of the search history, and storing data required for the search.
class Worker {
public:
Worker(SharedState&, std::unique_ptr<ISearchManager>, size_t);
// Called at instantiation to initialize Reductions tables
// Reset histories, usually before a new game
void clear();
// Called when the program receives the UCI 'go' command.
// It searches from the root position and outputs the "bestmove".
void start_searching();
bool is_mainthread() const { return thread_idx == 0; }
// Public because they need to be updatable by the stats
CounterMoveHistory counterMoves;
ButterflyHistory mainHistory;
CapturePieceToHistory captureHistory;
ContinuationHistory continuationHistory[2][2];
PawnHistory pawnHistory;
CorrectionHistory correctionHistory;
private:
void iterative_deepening();
// Main search function for both PV and non-PV nodes
template<NodeType nodeType>
Value search(Position& pos, Stack* ss, Value alpha, Value beta, Depth depth, bool cutNode);
// Quiescence search function, which is called by the main search
template<NodeType nodeType>
Value qsearch(Position& pos, Stack* ss, Value alpha, Value beta, Depth depth = 0);
Depth reduction(bool i, Depth d, int mn, int delta);
// Get a pointer to the search manager, only allowed to be called by the
// main thread.
SearchManager* main_manager() const {
assert(thread_idx == 0);
return static_cast<SearchManager*>(manager.get());
}
std::array<std::array<uint64_t, SQUARE_NB>, SQUARE_NB> effort;
LimitsType limits;
size_t pvIdx, pvLast;
std::atomic<uint64_t> nodes, tbHits, bestMoveChanges;
int selDepth, nmpMinPly;
Value optimism[COLOR_NB];
Position rootPos;
StateInfo rootState;
RootMoves rootMoves;
Depth rootDepth, completedDepth;
Value rootDelta;
size_t thread_idx;
// Reductions lookup table initialized at startup
std::array<int, MAX_MOVES> reductions; // [depth or moveNumber]
// The main thread has a SearchManager, the others have a NullSearchManager
std::unique_ptr<ISearchManager> manager;
Tablebases::Config tbConfig;
const OptionsMap& options;
ThreadPool& threads;
TranspositionTable& tt;
friend class Stockfish::ThreadPool;
friend class SearchManager;
};
} // namespace Search
} // namespace Stockfish
#endif // #ifndef SEARCH_H_INCLUDED
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@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -19,58 +19,57 @@
#ifndef TBPROBE_H
#define TBPROBE_H
#include <ostream>
#include <string>
#include <vector>
#include "../search.h"
namespace Stockfish {
class Position;
class OptionsMap;
using Depth = int;
namespace Search {
struct RootMove;
using RootMoves = std::vector<RootMove>;
}
}
namespace Stockfish::Tablebases {
struct Config {
int cardinality = 0;
bool rootInTB = false;
bool useRule50 = false;
Depth probeDepth = 0;
};
enum WDLScore {
WDLLoss = -2, // Loss
WDLBlessedLoss = -1, // Loss, but draw under 50-move rule
WDLDraw = 0, // Draw
WDLCursedWin = 1, // Win, but draw under 50-move rule
WDLWin = 2, // Win
WDLLoss = -2, // Loss
WDLBlessedLoss = -1, // Loss, but draw under 50-move rule
WDLDraw = 0, // Draw
WDLCursedWin = 1, // Win, but draw under 50-move rule
WDLWin = 2, // Win
};
// Possible states after a probing operation
enum ProbeState {
FAIL = 0, // Probe failed (missing file table)
OK = 1, // Probe successful
CHANGE_STM = -1, // DTZ should check the other side
ZEROING_BEST_MOVE = 2 // Best move zeroes DTZ (capture or pawn move)
FAIL = 0, // Probe failed (missing file table)
OK = 1, // Probe successful
CHANGE_STM = -1, // DTZ should check the other side
ZEROING_BEST_MOVE = 2 // Best move zeroes DTZ (capture or pawn move)
};
extern int MaxCardinality;
void init(const std::string& paths);
void init(const std::string& paths);
WDLScore probe_wdl(Position& pos, ProbeState* result);
int probe_dtz(Position& pos, ProbeState* result);
bool root_probe(Position& pos, Search::RootMoves& rootMoves);
bool root_probe_wdl(Position& pos, Search::RootMoves& rootMoves);
void rank_root_moves(Position& pos, Search::RootMoves& rootMoves);
int probe_dtz(Position& pos, ProbeState* result);
bool root_probe(Position& pos, Search::RootMoves& rootMoves, bool rule50);
bool root_probe_wdl(Position& pos, Search::RootMoves& rootMoves, bool rule50);
Config rank_root_moves(const OptionsMap& options, Position& pos, Search::RootMoves& rootMoves);
inline std::ostream& operator<<(std::ostream& os, const WDLScore v) {
os << (v == WDLLoss ? "Loss" :
v == WDLBlessedLoss ? "Blessed loss" :
v == WDLDraw ? "Draw" :
v == WDLCursedWin ? "Cursed win" :
v == WDLWin ? "Win" : "None");
return os;
}
inline std::ostream& operator<<(std::ostream& os, const ProbeState v) {
os << (v == FAIL ? "Failed" :
v == OK ? "Success" :
v == CHANGE_STM ? "Probed opponent side" :
v == ZEROING_BEST_MOVE ? "Best move zeroes DTZ" : "None");
return os;
}
} // namespace Stockfish::Tablebases
} // namespace Stockfish::Tablebases
#endif
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@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -16,238 +16,269 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include <cassert>
#include "thread.h"
#include <algorithm> // For std::count
#include <algorithm>
#include <cassert>
#include <deque>
#include <memory>
#include <unordered_map>
#include <utility>
#include <array>
#include "misc.h"
#include "movegen.h"
#include "search.h"
#include "thread.h"
#include "uci.h"
#include "syzygy/tbprobe.h"
#include "timeman.h"
#include "tt.h"
#include "types.h"
#include "ucioption.h"
namespace Stockfish {
ThreadPool Threads; // Global object
// Constructor launches the thread and waits until it goes to sleep
// in idle_loop(). Note that 'searching' and 'exit' should be already set.
Thread::Thread(Search::SharedState& sharedState,
std::unique_ptr<Search::ISearchManager> sm,
size_t n) :
worker(std::make_unique<Search::Worker>(sharedState, std::move(sm), n)),
idx(n),
nthreads(sharedState.options["Threads"]),
stdThread(&Thread::idle_loop, this) {
/// Thread constructor launches the thread and waits until it goes to sleep
/// in idle_loop(). Note that 'searching' and 'exit' should be already set.
Thread::Thread(size_t n) : idx(n), stdThread(&Thread::idle_loop, this) {
wait_for_search_finished();
wait_for_search_finished();
}
/// Thread destructor wakes up the thread in idle_loop() and waits
/// for its termination. Thread should be already waiting.
// Destructor wakes up the thread in idle_loop() and waits
// for its termination. Thread should be already waiting.
Thread::~Thread() {
assert(!searching);
assert(!searching);
exit = true;
start_searching();
stdThread.join();
exit = true;
start_searching();
stdThread.join();
}
/// Thread::clear() reset histories, usually before a new game
void Thread::clear() {
counterMoves.fill(MOVE_NONE);
mainHistory.fill(0);
captureHistory.fill(0);
for (bool inCheck : { false, true })
for (StatsType c : { NoCaptures, Captures })
for (auto& to : continuationHistory[inCheck][c])
for (auto& h : to)
h->fill(-71);
}
/// Thread::start_searching() wakes up the thread that will start the search
// Wakes up the thread that will start the search
void Thread::start_searching() {
mutex.lock();
searching = true;
mutex.unlock(); // Unlock before notifying saves a few CPU-cycles
cv.notify_one(); // Wake up the thread in idle_loop()
mutex.lock();
searching = true;
mutex.unlock(); // Unlock before notifying saves a few CPU-cycles
cv.notify_one(); // Wake up the thread in idle_loop()
}
/// Thread::wait_for_search_finished() blocks on the condition variable
/// until the thread has finished searching.
// Blocks on the condition variable
// until the thread has finished searching.
void Thread::wait_for_search_finished() {
std::unique_lock<std::mutex> lk(mutex);
cv.wait(lk, [&]{ return !searching; });
std::unique_lock<std::mutex> lk(mutex);
cv.wait(lk, [&] { return !searching; });
}
/// Thread::idle_loop() is where the thread is parked, blocked on the
/// condition variable, when it has no work to do.
// Thread gets parked here, blocked on the
// condition variable, when it has no work to do.
void Thread::idle_loop() {
// If OS already scheduled us on a different group than 0 then don't overwrite
// the choice, eventually we are one of many one-threaded processes running on
// some Windows NUMA hardware, for instance in fishtest. To make it simple,
// just check if running threads are below a threshold, in this case all this
// NUMA machinery is not needed.
if (Options["Threads"] > 8)
WinProcGroup::bindThisThread(idx);
// If OS already scheduled us on a different group than 0 then don't overwrite
// the choice, eventually we are one of many one-threaded processes running on
// some Windows NUMA hardware, for instance in fishtest. To make it simple,
// just check if running threads are below a threshold, in this case, all this
// NUMA machinery is not needed.
if (nthreads > 8)
WinProcGroup::bindThisThread(idx);
while (true)
{
std::unique_lock<std::mutex> lk(mutex);
searching = false;
cv.notify_one(); // Wake up anyone waiting for search finished
cv.wait(lk, [&]{ return searching; });
while (true)
{
std::unique_lock<std::mutex> lk(mutex);
searching = false;
cv.notify_one(); // Wake up anyone waiting for search finished
cv.wait(lk, [&] { return searching; });
if (exit)
return;
if (exit)
return;
lk.unlock();
lk.unlock();
search();
}
worker->start_searching();
}
}
/// ThreadPool::set() creates/destroys threads to match the requested number.
/// Created and launched threads will immediately go to sleep in idle_loop.
/// Upon resizing, threads are recreated to allow for binding if necessary.
// Creates/destroys threads to match the requested number.
// Created and launched threads will immediately go to sleep in idle_loop.
// Upon resizing, threads are recreated to allow for binding if necessary.
void ThreadPool::set(Search::SharedState sharedState) {
void ThreadPool::set(size_t requested) {
if (threads.size() > 0) // destroy any existing thread(s)
{
main_thread()->wait_for_search_finished();
if (threads.size() > 0) // destroy any existing thread(s)
{
main()->wait_for_search_finished();
while (threads.size() > 0)
delete threads.back(), threads.pop_back();
}
while (threads.size() > 0)
delete threads.back(), threads.pop_back();
}
const size_t requested = sharedState.options["Threads"];
if (requested > 0) // create new thread(s)
{
threads.push_back(new MainThread(0));
if (requested > 0) // create new thread(s)
{
threads.push_back(new Thread(
sharedState, std::unique_ptr<Search::ISearchManager>(new Search::SearchManager()), 0));
while (threads.size() < requested)
threads.push_back(new Thread(threads.size()));
clear();
// Reallocate the hash with the new threadpool size
TT.resize(size_t(Options["Hash"]));
while (threads.size() < requested)
threads.push_back(new Thread(
sharedState, std::unique_ptr<Search::ISearchManager>(new Search::NullSearchManager()),
threads.size()));
clear();
// Init thread number dependent search params.
Search::init();
}
main_thread()->wait_for_search_finished();
// Reallocate the hash with the new threadpool size
sharedState.tt.resize(sharedState.options["Hash"], requested);
}
}
/// ThreadPool::clear() sets threadPool data to initial values
// Sets threadPool data to initial values
void ThreadPool::clear() {
for (Thread* th : threads)
th->clear();
for (Thread* th : threads)
th->worker->clear();
main()->callsCnt = 0;
main()->bestPreviousScore = VALUE_INFINITE;
main()->bestPreviousAverageScore = VALUE_INFINITE;
main()->previousTimeReduction = 1.0;
main_manager()->callsCnt = 0;
main_manager()->bestPreviousScore = VALUE_INFINITE;
main_manager()->bestPreviousAverageScore = VALUE_INFINITE;
main_manager()->previousTimeReduction = 1.0;
main_manager()->tm.clear();
}
/// ThreadPool::start_thinking() wakes up main thread waiting in idle_loop() and
/// returns immediately. Main thread will wake up other threads and start the search.
// Wakes up main thread waiting in idle_loop() and
// returns immediately. Main thread will wake up other threads and start the search.
void ThreadPool::start_thinking(const OptionsMap& options,
Position& pos,
StateListPtr& states,
Search::LimitsType limits,
bool ponderMode) {
void ThreadPool::start_thinking(Position& pos, StateListPtr& states,
const Search::LimitsType& limits, bool ponderMode) {
main_thread()->wait_for_search_finished();
main()->wait_for_search_finished();
main_manager()->stopOnPonderhit = stop = abortedSearch = false;
main_manager()->ponder = ponderMode;
main()->stopOnPonderhit = stop = false;
increaseDepth = true;
main()->ponder = ponderMode;
Search::Limits = limits;
Search::RootMoves rootMoves;
increaseDepth = true;
for (const auto& m : MoveList<LEGAL>(pos))
if ( limits.searchmoves.empty()
|| std::count(limits.searchmoves.begin(), limits.searchmoves.end(), m))
rootMoves.emplace_back(m);
Search::RootMoves rootMoves;
if (!rootMoves.empty())
Tablebases::rank_root_moves(pos, rootMoves);
for (const auto& m : MoveList<LEGAL>(pos))
if (limits.searchmoves.empty()
|| std::count(limits.searchmoves.begin(), limits.searchmoves.end(), m))
rootMoves.emplace_back(m);
// After ownership transfer 'states' becomes empty, so if we stop the search
// and call 'go' again without setting a new position states.get() == nullptr.
assert(states.get() || setupStates.get());
Tablebases::Config tbConfig = Tablebases::rank_root_moves(options, pos, rootMoves);
if (states.get())
setupStates = std::move(states); // Ownership transfer, states is now empty
// After ownership transfer 'states' becomes empty, so if we stop the search
// and call 'go' again without setting a new position states.get() == nullptr.
assert(states.get() || setupStates.get());
// We use Position::set() to set root position across threads. But there are
// some StateInfo fields (previous, pliesFromNull, capturedPiece) that cannot
// be deduced from a fen string, so set() clears them and they are set from
// setupStates->back() later. The rootState is per thread, earlier states are shared
// since they are read-only.
for (Thread* th : threads)
{
th->nodes = th->tbHits = th->nmpMinPly = th->bestMoveChanges = 0;
th->rootDepth = th->completedDepth = 0;
th->rootMoves = rootMoves;
th->rootPos.set(pos.fen(), pos.is_chess960(), &th->rootState, th);
th->rootState = setupStates->back();
}
if (states.get())
setupStates = std::move(states); // Ownership transfer, states is now empty
main()->start_searching();
// We use Position::set() to set root position across threads. But there are
// some StateInfo fields (previous, pliesFromNull, capturedPiece) that cannot
// be deduced from a fen string, so set() clears them and they are set from
// setupStates->back() later. The rootState is per thread, earlier states are shared
// since they are read-only.
for (Thread* th : threads)
{
th->worker->limits = limits;
th->worker->nodes = th->worker->tbHits = th->worker->nmpMinPly =
th->worker->bestMoveChanges = 0;
th->worker->rootDepth = th->worker->completedDepth = 0;
th->worker->rootMoves = rootMoves;
th->worker->rootPos.set(pos.fen(), pos.is_chess960(), &th->worker->rootState);
th->worker->rootState = setupStates->back();
th->worker->tbConfig = tbConfig;
th->worker->effort = {};
}
main_thread()->start_searching();
}
Thread* ThreadPool::get_best_thread() const {
Thread* bestThread = threads.front();
std::map<Move, int64_t> votes;
Value minScore = VALUE_NONE;
Value minScore = VALUE_NONE;
// Find minimum score of all threads
for (Thread* th: threads)
minScore = std::min(minScore, th->rootMoves[0].score);
std::unordered_map<Move, int64_t, Move::MoveHash> votes(
2 * std::min(size(), bestThread->worker->rootMoves.size()));
// Find the minimum score of all threads
for (Thread* th : threads)
minScore = std::min(minScore, th->worker->rootMoves[0].score);
// Vote according to score and depth, and select the best thread
auto thread_value = [minScore](Thread* th) {
return (th->rootMoves[0].score - minScore + 14) * int(th->completedDepth);
};
auto thread_voting_value = [minScore](Thread* th) {
return (th->worker->rootMoves[0].score - minScore + 14) * int(th->worker->completedDepth);
};
for (Thread* th : threads)
votes[th->rootMoves[0].pv[0]] += thread_value(th);
votes[th->worker->rootMoves[0].pv[0]] += thread_voting_value(th);
for (Thread* th : threads)
if (abs(bestThread->rootMoves[0].score) >= VALUE_TB_WIN_IN_MAX_PLY)
{
const auto bestThreadScore = bestThread->worker->rootMoves[0].score;
const auto newThreadScore = th->worker->rootMoves[0].score;
const auto& bestThreadPV = bestThread->worker->rootMoves[0].pv;
const auto& newThreadPV = th->worker->rootMoves[0].pv;
const auto bestThreadMoveVote = votes[bestThreadPV[0]];
const auto newThreadMoveVote = votes[newThreadPV[0]];
const bool bestThreadInProvenWin = bestThreadScore >= VALUE_TB_WIN_IN_MAX_PLY;
const bool newThreadInProvenWin = newThreadScore >= VALUE_TB_WIN_IN_MAX_PLY;
const bool bestThreadInProvenLoss =
bestThreadScore != -VALUE_INFINITE && bestThreadScore <= VALUE_TB_LOSS_IN_MAX_PLY;
const bool newThreadInProvenLoss =
newThreadScore != -VALUE_INFINITE && newThreadScore <= VALUE_TB_LOSS_IN_MAX_PLY;
// Note that we make sure not to pick a thread with truncated-PV for better viewer experience.
const bool betterVotingValue =
thread_voting_value(th) * int(newThreadPV.size() > 2)
> thread_voting_value(bestThread) * int(bestThreadPV.size() > 2);
if (bestThreadInProvenWin)
{
// Make sure we pick the shortest mate / TB conversion or stave off mate the longest
if (th->rootMoves[0].score > bestThread->rootMoves[0].score)
// Make sure we pick the shortest mate / TB conversion
if (newThreadScore > bestThreadScore)
bestThread = th;
}
else if ( th->rootMoves[0].score >= VALUE_TB_WIN_IN_MAX_PLY
|| ( th->rootMoves[0].score > VALUE_TB_LOSS_IN_MAX_PLY
&& ( votes[th->rootMoves[0].pv[0]] > votes[bestThread->rootMoves[0].pv[0]]
|| ( votes[th->rootMoves[0].pv[0]] == votes[bestThread->rootMoves[0].pv[0]]
&& thread_value(th) * int(th->rootMoves[0].pv.size() > 2)
> thread_value(bestThread) * int(bestThread->rootMoves[0].pv.size() > 2)))))
else if (bestThreadInProvenLoss)
{
// Make sure we pick the shortest mated / TB conversion
if (newThreadInProvenLoss && newThreadScore < bestThreadScore)
bestThread = th;
}
else if (newThreadInProvenWin || newThreadInProvenLoss
|| (newThreadScore > VALUE_TB_LOSS_IN_MAX_PLY
&& (newThreadMoveVote > bestThreadMoveVote
|| (newThreadMoveVote == bestThreadMoveVote && betterVotingValue))))
bestThread = th;
}
return bestThread;
}
/// Start non-main threads
// Start non-main threads
// Will be invoked by main thread after it has started searching
void ThreadPool::start_searching() {
for (Thread* th : threads)
@@ -256,7 +287,7 @@ void ThreadPool::start_searching() {
}
/// Wait for non-main threads
// Wait for non-main threads
void ThreadPool::wait_for_search_finished() const {
@@ -265,4 +296,4 @@ void ThreadPool::wait_for_search_finished() const {
th->wait_for_search_finished();
}
} // namespace Stockfish
} // namespace Stockfish
+75 -95
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -21,121 +21,101 @@
#include <atomic>
#include <condition_variable>
#include <cstddef>
#include <cstdint>
#include <memory>
#include <mutex>
#include <thread>
#include <vector>
#include "material.h"
#include "movepick.h"
#include "pawns.h"
#include "position.h"
#include "search.h"
#include "thread_win32_osx.h"
namespace Stockfish {
/// Thread class keeps together all the thread-related stuff. We use
/// per-thread pawn and material hash tables so that once we get a
/// pointer to an entry its life time is unlimited and we don't have
/// to care about someone changing the entry under our feet.
class OptionsMap;
using Value = int;
// Abstraction of a thread. It contains a pointer to the worker and a native thread.
// After construction, the native thread is started with idle_loop()
// waiting for a signal to start searching.
// When the signal is received, the thread starts searching and when
// the search is finished, it goes back to idle_loop() waiting for a new signal.
class Thread {
public:
Thread(Search::SharedState&, std::unique_ptr<Search::ISearchManager>, size_t);
virtual ~Thread();
std::mutex mutex;
std::condition_variable cv;
size_t idx;
bool exit = false, searching = true; // Set before starting std::thread
NativeThread stdThread;
void idle_loop();
void start_searching();
void wait_for_search_finished();
size_t id() const { return idx; }
public:
explicit Thread(size_t);
virtual ~Thread();
virtual void search();
void clear();
void idle_loop();
void start_searching();
void wait_for_search_finished();
size_t id() const { return idx; }
std::unique_ptr<Search::Worker> worker;
Pawns::Table pawnsTable;
Material::Table materialTable;
size_t pvIdx, pvLast;
std::atomic<uint64_t> nodes, tbHits, bestMoveChanges;
int selDepth, nmpMinPly;
Value bestValue, optimism[COLOR_NB];
Position rootPos;
StateInfo rootState;
Search::RootMoves rootMoves;
Depth rootDepth, completedDepth;
Value rootDelta;
CounterMoveHistory counterMoves;
ButterflyHistory mainHistory;
CapturePieceToHistory captureHistory;
ContinuationHistory continuationHistory[2][2];
private:
std::mutex mutex;
std::condition_variable cv;
size_t idx, nthreads;
bool exit = false, searching = true; // Set before starting std::thread
NativeThread stdThread;
};
/// MainThread is a derived class specific for main thread
// ThreadPool struct handles all the threads-related stuff like init, starting,
// parking and, most importantly, launching a thread. All the access to threads
// is done through this class.
class ThreadPool {
struct MainThread : public Thread {
public:
~ThreadPool() {
// destroy any existing thread(s)
if (threads.size() > 0)
{
main_thread()->wait_for_search_finished();
using Thread::Thread;
while (threads.size() > 0)
delete threads.back(), threads.pop_back();
}
}
void search() override;
void check_time();
void
start_thinking(const OptionsMap&, Position&, StateListPtr&, Search::LimitsType, bool = false);
void clear();
void set(Search::SharedState);
double previousTimeReduction;
Value bestPreviousScore;
Value bestPreviousAverageScore;
Value iterValue[4];
int callsCnt;
bool stopOnPonderhit;
std::atomic_bool ponder;
Search::SearchManager* main_manager() const {
return static_cast<Search::SearchManager*>(main_thread()->worker.get()->manager.get());
};
Thread* main_thread() const { return threads.front(); }
uint64_t nodes_searched() const { return accumulate(&Search::Worker::nodes); }
uint64_t tb_hits() const { return accumulate(&Search::Worker::tbHits); }
Thread* get_best_thread() const;
void start_searching();
void wait_for_search_finished() const;
std::atomic_bool stop, abortedSearch, increaseDepth;
auto cbegin() const noexcept { return threads.cbegin(); }
auto begin() noexcept { return threads.begin(); }
auto end() noexcept { return threads.end(); }
auto cend() const noexcept { return threads.cend(); }
auto size() const noexcept { return threads.size(); }
auto empty() const noexcept { return threads.empty(); }
private:
StateListPtr setupStates;
std::vector<Thread*> threads;
uint64_t accumulate(std::atomic<uint64_t> Search::Worker::*member) const {
uint64_t sum = 0;
for (Thread* th : threads)
sum += (th->worker.get()->*member).load(std::memory_order_relaxed);
return sum;
}
};
} // namespace Stockfish
/// ThreadPool struct handles all the threads-related stuff like init, starting,
/// parking and, most importantly, launching a thread. All the access to threads
/// is done through this class.
struct ThreadPool {
void start_thinking(Position&, StateListPtr&, const Search::LimitsType&, bool = false);
void clear();
void set(size_t);
MainThread* main() const { return static_cast<MainThread*>(threads.front()); }
uint64_t nodes_searched() const { return accumulate(&Thread::nodes); }
uint64_t tb_hits() const { return accumulate(&Thread::tbHits); }
Thread* get_best_thread() const;
void start_searching();
void wait_for_search_finished() const;
std::atomic_bool stop, increaseDepth;
auto cbegin() const noexcept { return threads.cbegin(); }
auto begin() noexcept { return threads.begin(); }
auto end() noexcept { return threads.end(); }
auto cend() const noexcept { return threads.cend(); }
auto size() const noexcept { return threads.size(); }
auto empty() const noexcept { return threads.empty(); }
private:
StateListPtr setupStates;
std::vector<Thread*> threads;
uint64_t accumulate(std::atomic<uint64_t> Thread::* member) const {
uint64_t sum = 0;
for (Thread* th : threads)
sum += (th->*member).load(std::memory_order_relaxed);
return sum;
}
};
extern ThreadPool Threads;
} // namespace Stockfish
#endif // #ifndef THREAD_H_INCLUDED
#endif // #ifndef THREAD_H_INCLUDED
+36 -32
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -21,54 +21,58 @@
#include <thread>
/// On OSX threads other than the main thread are created with a reduced stack
/// size of 512KB by default, this is too low for deep searches, which require
/// somewhat more than 1MB stack, so adjust it to TH_STACK_SIZE.
/// The implementation calls pthread_create() with the stack size parameter
/// equal to the linux 8MB default, on platforms that support it.
// On OSX threads other than the main thread are created with a reduced stack
// size of 512KB by default, this is too low for deep searches, which require
// somewhat more than 1MB stack, so adjust it to TH_STACK_SIZE.
// The implementation calls pthread_create() with the stack size parameter
// equal to the Linux 8MB default, on platforms that support it.
#if defined(__APPLE__) || defined(__MINGW32__) || defined(__MINGW64__) || defined(USE_PTHREADS)
#include <pthread.h>
#include <pthread.h>
#include <functional>
namespace Stockfish {
static const size_t TH_STACK_SIZE = 8 * 1024 * 1024;
template <class T, class P = std::pair<T*, void(T::*)()>>
void* start_routine(void* ptr)
{
P* p = reinterpret_cast<P*>(ptr);
(p->first->*(p->second))(); // Call member function pointer
delete p;
return nullptr;
}
class NativeThread {
pthread_t thread;
pthread_t thread;
static constexpr size_t TH_STACK_SIZE = 8 * 1024 * 1024;
public:
template<class T, class P = std::pair<T*, void(T::*)()>>
explicit NativeThread(void(T::*fun)(), T* obj) {
pthread_attr_t attr_storage, *attr = &attr_storage;
pthread_attr_init(attr);
pthread_attr_setstacksize(attr, TH_STACK_SIZE);
pthread_create(&thread, attr, start_routine<T>, new P(obj, fun));
}
void join() { pthread_join(thread, nullptr); }
public:
template<class Function, class... Args>
explicit NativeThread(Function&& fun, Args&&... args) {
auto func = new std::function<void()>(
std::bind(std::forward<Function>(fun), std::forward<Args>(args)...));
pthread_attr_t attr_storage, *attr = &attr_storage;
pthread_attr_init(attr);
pthread_attr_setstacksize(attr, TH_STACK_SIZE);
auto start_routine = [](void* ptr) -> void* {
auto f = reinterpret_cast<std::function<void()>*>(ptr);
// Call the function
(*f)();
delete f;
return nullptr;
};
pthread_create(&thread, attr, start_routine, func);
}
void join() { pthread_join(thread, nullptr); }
};
} // namespace Stockfish
} // namespace Stockfish
#else // Default case: use STL classes
#else // Default case: use STL classes
namespace Stockfish {
using NativeThread = std::thread;
} // namespace Stockfish
} // namespace Stockfish
#endif
#endif // #ifndef THREAD_WIN32_OSX_H_INCLUDED
#endif // #ifndef THREAD_WIN32_OSX_H_INCLUDED
+100 -83
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -16,94 +16,111 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "timeman.h"
#include <algorithm>
#include <cfloat>
#include <cassert>
#include <cmath>
#include <cstdint>
#include "search.h"
#include "timeman.h"
#include "uci.h"
#include "ucioption.h"
namespace Stockfish {
TimeManagement Time; // Our global time management object
/// TimeManagement::init() is called at the beginning of the search and calculates
/// the bounds of time allowed for the current game ply. We currently support:
// 1) x basetime (+ z increment)
// 2) x moves in y seconds (+ z increment)
void TimeManagement::init(Search::LimitsType& limits, Color us, int ply) {
// if we have no time, no need to initialize TM, except for the start time,
// which is used by movetime.
startTime = limits.startTime;
if (limits.time[us] == 0)
return;
TimePoint moveOverhead = TimePoint(Options["Move Overhead"]);
TimePoint slowMover = TimePoint(Options["Slow Mover"]);
TimePoint npmsec = TimePoint(Options["nodestime"]);
// optScale is a percentage of available time to use for the current move.
// maxScale is a multiplier applied to optimumTime.
double optScale, maxScale;
// If we have to play in 'nodes as time' mode, then convert from time
// to nodes, and use resulting values in time management formulas.
// WARNING: to avoid time losses, the given npmsec (nodes per millisecond)
// must be much lower than the real engine speed.
if (npmsec)
{
if (!availableNodes) // Only once at game start
availableNodes = npmsec * limits.time[us]; // Time is in msec
// Convert from milliseconds to nodes
limits.time[us] = TimePoint(availableNodes);
limits.inc[us] *= npmsec;
limits.npmsec = npmsec;
}
// Maximum move horizon of 50 moves
int mtg = limits.movestogo ? std::min(limits.movestogo, 50) : 50;
// Make sure timeLeft is > 0 since we may use it as a divisor
TimePoint timeLeft = std::max(TimePoint(1),
limits.time[us] + limits.inc[us] * (mtg - 1) - moveOverhead * (2 + mtg));
// Use extra time with larger increments
double optExtra = std::clamp(1.0 + 12.0 * limits.inc[us] / limits.time[us], 1.0, 1.12);
// A user may scale time usage by setting UCI option "Slow Mover"
// Default is 100 and changing this value will probably lose elo.
timeLeft = slowMover * timeLeft / 100;
// x basetime (+ z increment)
// If there is a healthy increment, timeLeft can exceed actual available
// game time for the current move, so also cap to 20% of available game time.
if (limits.movestogo == 0)
{
optScale = std::min(0.0120 + std::pow(ply + 3.0, 0.45) * 0.0039,
0.2 * limits.time[us] / double(timeLeft))
* optExtra;
maxScale = std::min(7.0, 4.0 + ply / 12.0);
}
// x moves in y seconds (+ z increment)
else
{
optScale = std::min((0.88 + ply / 116.4) / mtg,
0.88 * limits.time[us] / double(timeLeft));
maxScale = std::min(6.3, 1.5 + 0.11 * mtg);
}
// Never use more than 80% of the available time for this move
optimumTime = TimePoint(optScale * timeLeft);
maximumTime = TimePoint(std::min(0.8 * limits.time[us] - moveOverhead, maxScale * optimumTime));
if (Options["Ponder"])
optimumTime += optimumTime / 4;
TimePoint TimeManagement::optimum() const { return optimumTime; }
TimePoint TimeManagement::maximum() const { return maximumTime; }
TimePoint TimeManagement::elapsed(size_t nodes) const {
return useNodesTime ? TimePoint(nodes) : now() - startTime;
}
} // namespace Stockfish
void TimeManagement::clear() {
availableNodes = 0; // When in 'nodes as time' mode
}
void TimeManagement::advance_nodes_time(std::int64_t nodes) {
assert(useNodesTime);
availableNodes += nodes;
}
// Called at the beginning of the search and calculates
// the bounds of time allowed for the current game ply. We currently support:
// 1) x basetime (+ z increment)
// 2) x moves in y seconds (+ z increment)
void TimeManagement::init(Search::LimitsType& limits,
Color us,
int ply,
const OptionsMap& options) {
// If we have no time, no need to initialize TM, except for the start time,
// which is used by movetime.
startTime = limits.startTime;
if (limits.time[us] == 0)
return;
TimePoint moveOverhead = TimePoint(options["Move Overhead"]);
TimePoint npmsec = TimePoint(options["nodestime"]);
// optScale is a percentage of available time to use for the current move.
// maxScale is a multiplier applied to optimumTime.
double optScale, maxScale;
// If we have to play in 'nodes as time' mode, then convert from time
// to nodes, and use resulting values in time management formulas.
// WARNING: to avoid time losses, the given npmsec (nodes per millisecond)
// must be much lower than the real engine speed.
if (npmsec)
{
useNodesTime = true;
if (!availableNodes) // Only once at game start
availableNodes = npmsec * limits.time[us]; // Time is in msec
// Convert from milliseconds to nodes
limits.time[us] = TimePoint(availableNodes);
limits.inc[us] *= npmsec;
limits.npmsec = npmsec;
}
// Maximum move horizon of 50 moves
int mtg = limits.movestogo ? std::min(limits.movestogo, 50) : 50;
// Make sure timeLeft is > 0 since we may use it as a divisor
TimePoint timeLeft = std::max(TimePoint(1), limits.time[us] + limits.inc[us] * (mtg - 1)
- moveOverhead * (2 + mtg));
// x basetime (+ z increment)
// If there is a healthy increment, timeLeft can exceed actual available
// game time for the current move, so also cap to 20% of available game time.
if (limits.movestogo == 0)
{
// Use extra time with larger increments
double optExtra = std::clamp(1.0 + 12.5 * limits.inc[us] / limits.time[us], 1.0, 1.11);
// Calculate time constants based on current time left.
double optConstant =
std::min(0.00334 + 0.0003 * std::log10(limits.time[us] / 1000.0), 0.0049);
double maxConstant = std::max(3.4 + 3.0 * std::log10(limits.time[us] / 1000.0), 2.76);
optScale = std::min(0.0120 + std::pow(ply + 3.1, 0.44) * optConstant,
0.21 * limits.time[us] / double(timeLeft))
* optExtra;
maxScale = std::min(6.9, maxConstant + ply / 12.2);
}
// x moves in y seconds (+ z increment)
else
{
optScale = std::min((0.88 + ply / 116.4) / mtg, 0.88 * limits.time[us] / double(timeLeft));
maxScale = std::min(6.3, 1.5 + 0.11 * mtg);
}
// Limit the maximum possible time for this move
optimumTime = TimePoint(optScale * timeLeft);
maximumTime =
TimePoint(std::min(0.84 * limits.time[us] - moveOverhead, maxScale * optimumTime)) - 10;
if (options["Ponder"])
optimumTime += optimumTime / 4;
}
} // namespace Stockfish
+29 -20
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -19,33 +19,42 @@
#ifndef TIMEMAN_H_INCLUDED
#define TIMEMAN_H_INCLUDED
#include <cstddef>
#include <cstdint>
#include "misc.h"
#include "search.h"
#include "thread.h"
#include "types.h"
namespace Stockfish {
/// The TimeManagement class computes the optimal time to think depending on
/// the maximum available time, the game move number and other parameters.
class OptionsMap;
namespace Search {
struct LimitsType;
}
// The TimeManagement class computes the optimal time to think depending on
// the maximum available time, the game move number, and other parameters.
class TimeManagement {
public:
void init(Search::LimitsType& limits, Color us, int ply);
TimePoint optimum() const { return optimumTime; }
TimePoint maximum() const { return maximumTime; }
TimePoint elapsed() const { return Search::Limits.npmsec ?
TimePoint(Threads.nodes_searched()) : now() - startTime; }
public:
void init(Search::LimitsType& limits, Color us, int ply, const OptionsMap& options);
int64_t availableNodes; // When in 'nodes as time' mode
TimePoint optimum() const;
TimePoint maximum() const;
TimePoint elapsed(std::size_t nodes) const;
private:
TimePoint startTime;
TimePoint optimumTime;
TimePoint maximumTime;
void clear();
void advance_nodes_time(std::int64_t nodes);
private:
TimePoint startTime;
TimePoint optimumTime;
TimePoint maximumTime;
std::int64_t availableNodes = 0; // When in 'nodes as time' mode
bool useNodesTime = false; // True if we are in 'nodes as time' mode
};
extern TimeManagement Time;
} // namespace Stockfish
} // namespace Stockfish
#endif // #ifndef TIMEMAN_H_INCLUDED
#endif // #ifndef TIMEMAN_H_INCLUDED
+94 -104
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -16,147 +16,137 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include <cstring> // For std::memset
#include "tt.h"
#include <cassert>
#include <cstdlib>
#include <cstring>
#include <iostream>
#include <thread>
#include <vector>
#include "bitboard.h"
#include "misc.h"
#include "thread.h"
#include "tt.h"
#include "uci.h"
namespace Stockfish {
TranspositionTable TT; // Our global transposition table
// Populates the TTEntry with a new node's data, possibly
// overwriting an old position. The update is not atomic and can be racy.
void TTEntry::save(
Key k, Value v, bool pv, Bound b, Depth d, Move m, Value ev, uint8_t generation8) {
/// TTEntry::save() populates the TTEntry with a new node's data, possibly
/// overwriting an old position. Update is not atomic and can be racy.
// Preserve any existing move for the same position
if (m || uint16_t(k) != key16)
move16 = m;
void TTEntry::save(Key k, Value v, bool pv, Bound b, Depth d, Move m, Value ev) {
// Overwrite less valuable entries (cheapest checks first)
if (b == BOUND_EXACT || uint16_t(k) != key16 || d - DEPTH_OFFSET + 2 * pv > depth8 - 4)
{
assert(d > DEPTH_OFFSET);
assert(d < 256 + DEPTH_OFFSET);
// Preserve any existing move for the same position
if (m || (uint16_t)k != key16)
move16 = (uint16_t)m;
// Overwrite less valuable entries (cheapest checks first)
if ( b == BOUND_EXACT
|| (uint16_t)k != key16
|| d - DEPTH_OFFSET + 2 * pv > depth8 - 4)
{
assert(d > DEPTH_OFFSET);
assert(d < 256 + DEPTH_OFFSET);
key16 = (uint16_t)k;
depth8 = (uint8_t)(d - DEPTH_OFFSET);
genBound8 = (uint8_t)(TT.generation8 | uint8_t(pv) << 2 | b);
value16 = (int16_t)v;
eval16 = (int16_t)ev;
}
key16 = uint16_t(k);
depth8 = uint8_t(d - DEPTH_OFFSET);
genBound8 = uint8_t(generation8 | uint8_t(pv) << 2 | b);
value16 = int16_t(v);
eval16 = int16_t(ev);
}
}
/// TranspositionTable::resize() sets the size of the transposition table,
/// measured in megabytes. Transposition table consists of a power of 2 number
/// of clusters and each cluster consists of ClusterSize number of TTEntry.
// Sets the size of the transposition table,
// measured in megabytes. Transposition table consists of a power of 2 number
// of clusters and each cluster consists of ClusterSize number of TTEntry.
void TranspositionTable::resize(size_t mbSize, int threadCount) {
aligned_large_pages_free(table);
void TranspositionTable::resize(size_t mbSize) {
clusterCount = mbSize * 1024 * 1024 / sizeof(Cluster);
Threads.main()->wait_for_search_finished();
table = static_cast<Cluster*>(aligned_large_pages_alloc(clusterCount * sizeof(Cluster)));
if (!table)
{
std::cerr << "Failed to allocate " << mbSize << "MB for transposition table." << std::endl;
exit(EXIT_FAILURE);
}
aligned_large_pages_free(table);
clusterCount = mbSize * 1024 * 1024 / sizeof(Cluster);
table = static_cast<Cluster*>(aligned_large_pages_alloc(clusterCount * sizeof(Cluster)));
if (!table)
{
std::cerr << "Failed to allocate " << mbSize
<< "MB for transposition table." << std::endl;
exit(EXIT_FAILURE);
}
clear();
clear(threadCount);
}
/// TranspositionTable::clear() initializes the entire transposition table to zero,
// in a multi-threaded way.
// Initializes the entire transposition table to zero,
// in a multi-threaded way.
void TranspositionTable::clear(size_t threadCount) {
std::vector<std::thread> threads;
void TranspositionTable::clear() {
for (size_t idx = 0; idx < size_t(threadCount); ++idx)
{
threads.emplace_back([this, idx, threadCount]() {
// Thread binding gives faster search on systems with a first-touch policy
if (threadCount > 8)
WinProcGroup::bindThisThread(idx);
std::vector<std::thread> threads;
// Each thread will zero its part of the hash table
const size_t stride = size_t(clusterCount / threadCount), start = size_t(stride * idx),
len = idx != size_t(threadCount) - 1 ? stride : clusterCount - start;
for (size_t idx = 0; idx < size_t(Options["Threads"]); ++idx)
{
threads.emplace_back([this, idx]() {
std::memset(&table[start], 0, len * sizeof(Cluster));
});
}
// Thread binding gives faster search on systems with a first-touch policy
if (Options["Threads"] > 8)
WinProcGroup::bindThisThread(idx);
// Each thread will zero its part of the hash table
const size_t stride = size_t(clusterCount / Options["Threads"]),
start = size_t(stride * idx),
len = idx != size_t(Options["Threads"]) - 1 ?
stride : clusterCount - start;
std::memset(&table[start], 0, len * sizeof(Cluster));
});
}
for (std::thread& th : threads)
th.join();
for (std::thread& th : threads)
th.join();
}
/// TranspositionTable::probe() looks up the current position in the transposition
/// table. It returns true and a pointer to the TTEntry if the position is found.
/// Otherwise, it returns false and a pointer to an empty or least valuable TTEntry
/// to be replaced later. The replace value of an entry is calculated as its depth
/// minus 8 times its relative age. TTEntry t1 is considered more valuable than
/// TTEntry t2 if its replace value is greater than that of t2.
// Looks up the current position in the transposition
// table. It returns true and a pointer to the TTEntry if the position is found.
// Otherwise, it returns false and a pointer to an empty or least valuable TTEntry
// to be replaced later. The replace value of an entry is calculated as its depth
// minus 8 times its relative age. TTEntry t1 is considered more valuable than
// TTEntry t2 if its replace value is greater than that of t2.
TTEntry* TranspositionTable::probe(const Key key, bool& found) const {
TTEntry* const tte = first_entry(key);
const uint16_t key16 = (uint16_t)key; // Use the low 16 bits as key inside the cluster
TTEntry* const tte = first_entry(key);
const uint16_t key16 = uint16_t(key); // Use the low 16 bits as key inside the cluster
for (int i = 0; i < ClusterSize; ++i)
if (tte[i].key16 == key16 || !tte[i].depth8)
{
tte[i].genBound8 = uint8_t(generation8 | (tte[i].genBound8 & (GENERATION_DELTA - 1))); // Refresh
for (int i = 0; i < ClusterSize; ++i)
if (tte[i].key16 == key16 || !tte[i].depth8)
{
tte[i].genBound8 =
uint8_t(generation8 | (tte[i].genBound8 & (GENERATION_DELTA - 1))); // Refresh
return found = (bool)tte[i].depth8, &tte[i];
}
return found = bool(tte[i].depth8), &tte[i];
}
// Find an entry to be replaced according to the replacement strategy
TTEntry* replace = tte;
for (int i = 1; i < ClusterSize; ++i)
// Due to our packed storage format for generation and its cyclic
// nature we add GENERATION_CYCLE (256 is the modulus, plus what
// is needed to keep the unrelated lowest n bits from affecting
// the result) to calculate the entry age correctly even after
// generation8 overflows into the next cycle.
if ( replace->depth8 - ((GENERATION_CYCLE + generation8 - replace->genBound8) & GENERATION_MASK)
> tte[i].depth8 - ((GENERATION_CYCLE + generation8 - tte[i].genBound8) & GENERATION_MASK))
replace = &tte[i];
// Find an entry to be replaced according to the replacement strategy
TTEntry* replace = tte;
for (int i = 1; i < ClusterSize; ++i)
// Due to our packed storage format for generation and its cyclic
// nature we add GENERATION_CYCLE (256 is the modulus, plus what
// is needed to keep the unrelated lowest n bits from affecting
// the result) to calculate the entry age correctly even after
// generation8 overflows into the next cycle.
if (replace->depth8
- ((GENERATION_CYCLE + generation8 - replace->genBound8) & GENERATION_MASK)
> tte[i].depth8
- ((GENERATION_CYCLE + generation8 - tte[i].genBound8) & GENERATION_MASK))
replace = &tte[i];
return found = false, replace;
return found = false, replace;
}
/// TranspositionTable::hashfull() returns an approximation of the hashtable
/// occupation during a search. The hash is x permill full, as per UCI protocol.
// Returns an approximation of the hashtable
// occupation during a search. The hash is x permill full, as per UCI protocol.
int TranspositionTable::hashfull() const {
int cnt = 0;
for (int i = 0; i < 1000; ++i)
for (int j = 0; j < ClusterSize; ++j)
cnt += table[i].entry[j].depth8 && (table[i].entry[j].genBound8 & GENERATION_MASK) == generation8;
int cnt = 0;
for (int i = 0; i < 1000; ++i)
for (int j = 0; j < ClusterSize; ++j)
cnt += table[i].entry[j].depth8
&& (table[i].entry[j].genBound8 & GENERATION_MASK) == generation8;
return cnt / ClusterSize;
return cnt / ClusterSize;
}
} // namespace Stockfish
} // namespace Stockfish
+66 -63
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -19,89 +19,92 @@
#ifndef TT_H_INCLUDED
#define TT_H_INCLUDED
#include <cstddef>
#include <cstdint>
#include "misc.h"
#include "types.h"
namespace Stockfish {
/// TTEntry struct is the 10 bytes transposition table entry, defined as below:
///
/// key 16 bit
/// depth 8 bit
/// generation 5 bit
/// pv node 1 bit
/// bound type 2 bit
/// move 16 bit
/// value 16 bit
/// eval value 16 bit
// TTEntry struct is the 10 bytes transposition table entry, defined as below:
//
// key 16 bit
// depth 8 bit
// generation 5 bit
// pv node 1 bit
// bound type 2 bit
// move 16 bit
// value 16 bit
// eval value 16 bit
struct TTEntry {
Move move() const { return (Move )move16; }
Value value() const { return (Value)value16; }
Value eval() const { return (Value)eval16; }
Depth depth() const { return (Depth)depth8 + DEPTH_OFFSET; }
bool is_pv() const { return (bool)(genBound8 & 0x4); }
Bound bound() const { return (Bound)(genBound8 & 0x3); }
void save(Key k, Value v, bool pv, Bound b, Depth d, Move m, Value ev);
Move move() const { return Move(move16); }
Value value() const { return Value(value16); }
Value eval() const { return Value(eval16); }
Depth depth() const { return Depth(depth8 + DEPTH_OFFSET); }
bool is_pv() const { return bool(genBound8 & 0x4); }
Bound bound() const { return Bound(genBound8 & 0x3); }
void save(Key k, Value v, bool pv, Bound b, Depth d, Move m, Value ev, uint8_t generation8);
private:
friend class TranspositionTable;
private:
friend class TranspositionTable;
uint16_t key16;
uint8_t depth8;
uint8_t genBound8;
uint16_t move16;
int16_t value16;
int16_t eval16;
uint16_t key16;
uint8_t depth8;
uint8_t genBound8;
Move move16;
int16_t value16;
int16_t eval16;
};
/// A TranspositionTable is an array of Cluster, of size clusterCount. Each
/// cluster consists of ClusterSize number of TTEntry. Each non-empty TTEntry
/// contains information on exactly one position. The size of a Cluster should
/// divide the size of a cache line for best performance, as the cacheline is
/// prefetched when possible.
// A TranspositionTable is an array of Cluster, of size clusterCount. Each
// cluster consists of ClusterSize number of TTEntry. Each non-empty TTEntry
// contains information on exactly one position. The size of a Cluster should
// divide the size of a cache line for best performance, as the cacheline is
// prefetched when possible.
class TranspositionTable {
static constexpr int ClusterSize = 3;
static constexpr int ClusterSize = 3;
struct Cluster {
TTEntry entry[ClusterSize];
char padding[2]; // Pad to 32 bytes
};
struct Cluster {
TTEntry entry[ClusterSize];
char padding[2]; // Pad to 32 bytes
};
static_assert(sizeof(Cluster) == 32, "Unexpected Cluster size");
static_assert(sizeof(Cluster) == 32, "Unexpected Cluster size");
// Constants used to refresh the hash table periodically
static constexpr unsigned GENERATION_BITS = 3; // nb of bits reserved for other things
static constexpr int GENERATION_DELTA = (1 << GENERATION_BITS); // increment for generation field
static constexpr int GENERATION_CYCLE = 255 + (1 << GENERATION_BITS); // cycle length
static constexpr int GENERATION_MASK = (0xFF << GENERATION_BITS) & 0xFF; // mask to pull out generation number
// Constants used to refresh the hash table periodically
static constexpr unsigned GENERATION_BITS = 3; // nb of bits reserved for other things
static constexpr int GENERATION_DELTA =
(1 << GENERATION_BITS); // increment for generation field
static constexpr int GENERATION_CYCLE = 255 + (1 << GENERATION_BITS); // cycle length
static constexpr int GENERATION_MASK =
(0xFF << GENERATION_BITS) & 0xFF; // mask to pull out generation number
public:
~TranspositionTable() { aligned_large_pages_free(table); }
void new_search() { generation8 += GENERATION_DELTA; } // Lower bits are used for other things
TTEntry* probe(const Key key, bool& found) const;
int hashfull() const;
void resize(size_t mbSize);
void clear();
public:
~TranspositionTable() { aligned_large_pages_free(table); }
void new_search() { generation8 += GENERATION_DELTA; } // Lower bits are used for other things
TTEntry* probe(const Key key, bool& found) const;
int hashfull() const;
void resize(size_t mbSize, int threadCount);
void clear(size_t threadCount);
TTEntry* first_entry(const Key key) const {
return &table[mul_hi64(key, clusterCount)].entry[0];
}
TTEntry* first_entry(const Key key) const {
return &table[mul_hi64(key, clusterCount)].entry[0];
}
private:
friend struct TTEntry;
uint8_t generation() const { return generation8; }
size_t clusterCount;
Cluster* table;
uint8_t generation8; // Size must be not bigger than TTEntry::genBound8
private:
friend struct TTEntry;
size_t clusterCount;
Cluster* table = nullptr;
uint8_t generation8 = 0; // Size must be not bigger than TTEntry::genBound8
};
extern TranspositionTable TT;
} // namespace Stockfish
} // namespace Stockfish
#endif // #ifndef TT_H_INCLUDED
#endif // #ifndef TT_H_INCLUDED
+50 -65
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -16,100 +16,88 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "tune.h"
#include <algorithm>
#include <iostream>
#include <map>
#include <sstream>
#include <string>
#include "types.h"
#include "misc.h"
#include "uci.h"
#include "ucioption.h"
using std::string;
namespace Stockfish {
bool Tune::update_on_last;
const UCI::Option* LastOption = nullptr;
bool Tune::update_on_last;
const Option* LastOption = nullptr;
OptionsMap* Tune::options;
static std::map<std::string, int> TuneResults;
string Tune::next(string& names, bool pop) {
string name;
string name;
do {
string token = names.substr(0, names.find(','));
do
{
string token = names.substr(0, names.find(','));
if (pop)
names.erase(0, token.size() + 1);
if (pop)
names.erase(0, token.size() + 1);
std::stringstream ws(token);
name += (ws >> token, token); // Remove trailing whitespace
std::stringstream ws(token);
name += (ws >> token, token); // Remove trailing whitespace
} while ( std::count(name.begin(), name.end(), '(')
- std::count(name.begin(), name.end(), ')'));
} while (std::count(name.begin(), name.end(), '(') - std::count(name.begin(), name.end(), ')'));
return name;
return name;
}
static void on_tune(const UCI::Option& o) {
static void on_tune(const Option& o) {
if (!Tune::update_on_last || LastOption == &o)
Tune::read_options();
if (!Tune::update_on_last || LastOption == &o)
Tune::read_options();
}
static void make_option(const string& n, int v, const SetRange& r) {
static void make_option(OptionsMap* options, const string& n, int v, const SetRange& r) {
// Do not generate option when there is nothing to tune (ie. min = max)
if (r(v).first == r(v).second)
return;
// Do not generate option when there is nothing to tune (ie. min = max)
if (r(v).first == r(v).second)
return;
if (TuneResults.count(n))
v = TuneResults[n];
if (TuneResults.count(n))
v = TuneResults[n];
Options[n] << UCI::Option(v, r(v).first, r(v).second, on_tune);
LastOption = &Options[n];
(*options)[n] << Option(v, r(v).first, r(v).second, on_tune);
LastOption = &((*options)[n]);
// Print formatted parameters, ready to be copy-pasted in Fishtest
std::cout << n << ","
<< v << ","
<< r(v).first << "," << r(v).second << ","
<< (r(v).second - r(v).first) / 20.0 << ","
<< "0.0020"
<< std::endl;
// Print formatted parameters, ready to be copy-pasted in Fishtest
std::cout << n << "," << v << "," << r(v).first << "," << r(v).second << ","
<< (r(v).second - r(v).first) / 20.0 << ","
<< "0.0020" << std::endl;
}
template<> void Tune::Entry<int>::init_option() { make_option(name, value, range); }
template<> void Tune::Entry<int>::read_option() {
if (Options.count(name))
value = int(Options[name]);
template<>
void Tune::Entry<int>::init_option() {
make_option(options, name, value, range);
}
template<> void Tune::Entry<Value>::init_option() { make_option(name, value, range); }
template<> void Tune::Entry<Value>::read_option() {
if (Options.count(name))
value = Value(int(Options[name]));
}
template<> void Tune::Entry<Score>::init_option() {
make_option("m" + name, mg_value(value), range);
make_option("e" + name, eg_value(value), range);
}
template<> void Tune::Entry<Score>::read_option() {
if (Options.count("m" + name))
value = make_score(int(Options["m" + name]), eg_value(value));
if (Options.count("e" + name))
value = make_score(mg_value(value), int(Options["e" + name]));
template<>
void Tune::Entry<int>::read_option() {
if (options->count(name))
value = int((*options)[name]);
}
// Instead of a variable here we have a PostUpdate function: just call it
template<> void Tune::Entry<Tune::PostUpdate>::init_option() {}
template<> void Tune::Entry<Tune::PostUpdate>::read_option() { value(); }
template<>
void Tune::Entry<Tune::PostUpdate>::init_option() {}
template<>
void Tune::Entry<Tune::PostUpdate>::read_option() {
value();
}
} // namespace Stockfish
} // namespace Stockfish
// Init options with tuning session results instead of default values. Useful to
@@ -121,13 +109,10 @@ template<> void Tune::Entry<Tune::PostUpdate>::read_option() { value(); }
//
// Then paste the output below, as the function body
#include <cmath>
namespace Stockfish {
void Tune::read_results() {
/* ...insert your values here... */
void Tune::read_results() { /* ...insert your values here... */
}
} // namespace Stockfish
} // namespace Stockfish
+119 -101
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -19,145 +19,163 @@
#ifndef TUNE_H_INCLUDED
#define TUNE_H_INCLUDED
#include <cstddef>
#include <memory>
#include <string>
#include <type_traits>
#include <type_traits> // IWYU pragma: keep
#include <utility>
#include <vector>
namespace Stockfish {
using Range = std::pair<int, int>; // Option's min-max values
using RangeFun = Range (int);
class OptionsMap;
using Range = std::pair<int, int>; // Option's min-max values
using RangeFun = Range(int);
// Default Range function, to calculate Option's min-max values
inline Range default_range(int v) {
return v > 0 ? Range(0, 2 * v) : Range(2 * v, 0);
}
inline Range default_range(int v) { return v > 0 ? Range(0, 2 * v) : Range(2 * v, 0); }
struct SetRange {
explicit SetRange(RangeFun f) : fun(f) {}
SetRange(int min, int max) : fun(nullptr), range(min, max) {}
Range operator()(int v) const { return fun ? fun(v) : range; }
explicit SetRange(RangeFun f) :
fun(f) {}
SetRange(int min, int max) :
fun(nullptr),
range(min, max) {}
Range operator()(int v) const { return fun ? fun(v) : range; }
RangeFun* fun;
Range range;
RangeFun* fun;
Range range;
};
#define SetDefaultRange SetRange(default_range)
/// Tune class implements the 'magic' code that makes the setup of a fishtest
/// tuning session as easy as it can be. Mainly you have just to remove const
/// qualifiers from the variables you want to tune and flag them for tuning, so
/// if you have:
///
/// const Score myScore = S(10, 15);
/// const Value myValue[][2] = { { V(100), V(20) }, { V(7), V(78) } };
///
/// If you have a my_post_update() function to run after values have been updated,
/// and a my_range() function to set custom Option's min-max values, then you just
/// remove the 'const' qualifiers and write somewhere below in the file:
///
/// TUNE(SetRange(my_range), myScore, myValue, my_post_update);
///
/// You can also set the range directly, and restore the default at the end
///
/// TUNE(SetRange(-100, 100), myScore, SetDefaultRange);
///
/// In case update function is slow and you have many parameters, you can add:
///
/// UPDATE_ON_LAST();
///
/// And the values update, including post update function call, will be done only
/// once, after the engine receives the last UCI option, that is the one defined
/// and created as the last one, so the GUI should send the options in the same
/// order in which have been defined.
// Tune class implements the 'magic' code that makes the setup of a fishtest tuning
// session as easy as it can be. Mainly you have just to remove const qualifiers
// from the variables you want to tune and flag them for tuning, so if you have:
//
// const Value myValue[][2] = { { V(100), V(20) }, { V(7), V(78) } };
//
// If you have a my_post_update() function to run after values have been updated,
// and a my_range() function to set custom Option's min-max values, then you just
// remove the 'const' qualifiers and write somewhere below in the file:
//
// TUNE(SetRange(my_range), myValue, my_post_update);
//
// You can also set the range directly, and restore the default at the end
//
// TUNE(SetRange(-100, 100), myValue, SetDefaultRange);
//
// In case update function is slow and you have many parameters, you can add:
//
// UPDATE_ON_LAST();
//
// And the values update, including post update function call, will be done only
// once, after the engine receives the last UCI option, that is the one defined
// and created as the last one, so the GUI should send the options in the same
// order in which have been defined.
class Tune {
using PostUpdate = void (); // Post-update function
using PostUpdate = void(); // Post-update function
Tune() { read_results(); }
Tune(const Tune&) = delete;
void operator=(const Tune&) = delete;
void read_results();
Tune() { read_results(); }
Tune(const Tune&) = delete;
void operator=(const Tune&) = delete;
void read_results();
static Tune& instance() { static Tune t; return t; } // Singleton
static Tune& instance() {
static Tune t;
return t;
} // Singleton
// Use polymorphism to accommodate Entry of different types in the same vector
struct EntryBase {
virtual ~EntryBase() = default;
virtual void init_option() = 0;
virtual void read_option() = 0;
};
// Use polymorphism to accommodate Entry of different types in the same vector
struct EntryBase {
virtual ~EntryBase() = default;
virtual void init_option() = 0;
virtual void read_option() = 0;
};
template<typename T>
struct Entry : public EntryBase {
template<typename T>
struct Entry: public EntryBase {
static_assert(!std::is_const<T>::value, "Parameter cannot be const!");
static_assert(!std::is_const_v<T>, "Parameter cannot be const!");
static_assert( std::is_same<T, int>::value
|| std::is_same<T, Value>::value
|| std::is_same<T, Score>::value
|| std::is_same<T, PostUpdate>::value, "Parameter type not supported!");
static_assert(std::is_same_v<T, int> || std::is_same_v<T, PostUpdate>,
"Parameter type not supported!");
Entry(const std::string& n, T& v, const SetRange& r) : name(n), value(v), range(r) {}
void operator=(const Entry&) = delete; // Because 'value' is a reference
void init_option() override;
void read_option() override;
Entry(const std::string& n, T& v, const SetRange& r) :
name(n),
value(v),
range(r) {}
void operator=(const Entry&) = delete; // Because 'value' is a reference
void init_option() override;
void read_option() override;
std::string name;
T& value;
SetRange range;
};
std::string name;
T& value;
SetRange range;
};
// Our facility to fill the container, each Entry corresponds to a parameter
// to tune. We use variadic templates to deal with an unspecified number of
// entries, each one of a possible different type.
static std::string next(std::string& names, bool pop = true);
// Our facility to fill the container, each Entry corresponds to a parameter
// to tune. We use variadic templates to deal with an unspecified number of
// entries, each one of a possible different type.
static std::string next(std::string& names, bool pop = true);
int add(const SetRange&, std::string&&) { return 0; }
int add(const SetRange&, std::string&&) { return 0; }
template<typename T, typename... Args>
int add(const SetRange& range, std::string&& names, T& value, Args&&... args) {
list.push_back(std::unique_ptr<EntryBase>(new Entry<T>(next(names), value, range)));
return add(range, std::move(names), args...);
}
template<typename T, typename... Args>
int add(const SetRange& range, std::string&& names, T& value, Args&&... args) {
list.push_back(std::unique_ptr<EntryBase>(new Entry<T>(next(names), value, range)));
return add(range, std::move(names), args...);
}
// Template specialization for arrays: recursively handle multi-dimensional arrays
template<typename T, size_t N, typename... Args>
int add(const SetRange& range, std::string&& names, T (&value)[N], Args&&... args) {
for (size_t i = 0; i < N; i++)
add(range, next(names, i == N - 1) + "[" + std::to_string(i) + "]", value[i]);
return add(range, std::move(names), args...);
}
// Template specialization for arrays: recursively handle multi-dimensional arrays
template<typename T, size_t N, typename... Args>
int add(const SetRange& range, std::string&& names, T (&value)[N], Args&&... args) {
for (size_t i = 0; i < N; i++)
add(range, next(names, i == N - 1) + "[" + std::to_string(i) + "]", value[i]);
return add(range, std::move(names), args...);
}
// Template specialization for SetRange
template<typename... Args>
int add(const SetRange&, std::string&& names, SetRange& value, Args&&... args) {
return add(value, (next(names), std::move(names)), args...);
}
// Template specialization for SetRange
template<typename... Args>
int add(const SetRange&, std::string&& names, SetRange& value, Args&&... args) {
return add(value, (next(names), std::move(names)), args...);
}
std::vector<std::unique_ptr<EntryBase>> list;
std::vector<std::unique_ptr<EntryBase>> list;
public:
template<typename... Args>
static int add(const std::string& names, Args&&... args) {
return instance().add(SetDefaultRange, names.substr(1, names.size() - 2), args...); // Remove trailing parenthesis
}
static void init() { for (auto& e : instance().list) e->init_option(); read_options(); } // Deferred, due to UCI::Options access
static void read_options() { for (auto& e : instance().list) e->read_option(); }
static bool update_on_last;
public:
template<typename... Args>
static int add(const std::string& names, Args&&... args) {
return instance().add(SetDefaultRange, names.substr(1, names.size() - 2),
args...); // Remove trailing parenthesis
}
static void init(OptionsMap& o) {
options = &o;
for (auto& e : instance().list)
e->init_option();
read_options();
} // Deferred, due to UCI::Options access
static void read_options() {
for (auto& e : instance().list)
e->read_option();
}
static bool update_on_last;
static OptionsMap* options;
};
// Some macro magic :-) we define a dummy int variable that compiler initializes calling Tune::add()
// Some macro magic :-) we define a dummy int variable that the compiler initializes calling Tune::add()
#define STRINGIFY(x) #x
#define UNIQUE2(x, y) x ## y
#define UNIQUE(x, y) UNIQUE2(x, y) // Two indirection levels to expand __LINE__
#define UNIQUE2(x, y) x##y
#define UNIQUE(x, y) UNIQUE2(x, y) // Two indirection levels to expand __LINE__
#define TUNE(...) int UNIQUE(p, __LINE__) = Tune::add(STRINGIFY((__VA_ARGS__)), __VA_ARGS__)
#define UPDATE_ON_LAST() bool UNIQUE(p, __LINE__) = Tune::update_on_last = true
} // namespace Stockfish
} // namespace Stockfish
#endif // #ifndef TUNE_H_INCLUDED
#endif // #ifndef TUNE_H_INCLUDED
+277 -357
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -17,475 +17,395 @@
*/
#ifndef TYPES_H_INCLUDED
#define TYPES_H_INCLUDED
#define TYPES_H_INCLUDED
/// When compiling with provided Makefile (e.g. for Linux and OSX), configuration
/// is done automatically. To get started type 'make help'.
///
/// When Makefile is not used (e.g. with Microsoft Visual Studio) some switches
/// need to be set manually:
///
/// -DNDEBUG | Disable debugging mode. Always use this for release.
///
/// -DNO_PREFETCH | Disable use of prefetch asm-instruction. You may need this to
/// | run on some very old machines.
///
/// -DUSE_POPCNT | Add runtime support for use of popcnt asm-instruction. Works
/// | only in 64-bit mode and requires hardware with popcnt support.
///
/// -DUSE_PEXT | Add runtime support for use of pext asm-instruction. Works
/// | only in 64-bit mode and requires hardware with pext support.
// When compiling with provided Makefile (e.g. for Linux and OSX), configuration
// is done automatically. To get started type 'make help'.
//
// When Makefile is not used (e.g. with Microsoft Visual Studio) some switches
// need to be set manually:
//
// -DNDEBUG | Disable debugging mode. Always use this for release.
//
// -DNO_PREFETCH | Disable use of prefetch asm-instruction. You may need this to
// | run on some very old machines.
//
// -DUSE_POPCNT | Add runtime support for use of popcnt asm-instruction. Works
// | only in 64-bit mode and requires hardware with popcnt support.
//
// -DUSE_PEXT | Add runtime support for use of pext asm-instruction. Works
// | only in 64-bit mode and requires hardware with pext support.
#include <cassert>
#include <cctype>
#include <cstdint>
#include <cstdlib>
#include <algorithm>
#include <cassert>
#include <cstdint>
#if defined(_MSC_VER)
// Disable some silly and noisy warning from MSVC compiler
#pragma warning(disable: 4127) // Conditional expression is constant
#pragma warning(disable: 4146) // Unary minus operator applied to unsigned type
#pragma warning(disable: 4800) // Forcing value to bool 'true' or 'false'
#endif
#if defined(_MSC_VER)
// Disable some silly and noisy warnings from MSVC compiler
#pragma warning(disable: 4127) // Conditional expression is constant
#pragma warning(disable: 4146) // Unary minus operator applied to unsigned type
#pragma warning(disable: 4800) // Forcing value to bool 'true' or 'false'
#endif
/// Predefined macros hell:
///
/// __GNUC__ Compiler is gcc, Clang or Intel on Linux
/// __INTEL_COMPILER Compiler is Intel
/// _MSC_VER Compiler is MSVC or Intel on Windows
/// _WIN32 Building on Windows (any)
/// _WIN64 Building on Windows 64 bit
// Predefined macros hell:
//
// __GNUC__ Compiler is GCC, Clang or ICX
// __clang__ Compiler is Clang or ICX
// __INTEL_LLVM_COMPILER Compiler is ICX
// _MSC_VER Compiler is MSVC
// _WIN32 Building on Windows (any)
// _WIN64 Building on Windows 64 bit
#if defined(__GNUC__ ) && (__GNUC__ < 9 || (__GNUC__ == 9 && __GNUC_MINOR__ <= 2)) && defined(_WIN32) && !defined(__clang__)
#define ALIGNAS_ON_STACK_VARIABLES_BROKEN
#endif
#if defined(__GNUC__) && (__GNUC__ < 9 || (__GNUC__ == 9 && __GNUC_MINOR__ <= 2)) \
&& defined(_WIN32) && !defined(__clang__)
#define ALIGNAS_ON_STACK_VARIABLES_BROKEN
#endif
#define ASSERT_ALIGNED(ptr, alignment) assert(reinterpret_cast<uintptr_t>(ptr) % alignment == 0)
#define ASSERT_ALIGNED(ptr, alignment) assert(reinterpret_cast<uintptr_t>(ptr) % alignment == 0)
#if defined(_WIN64) && defined(_MSC_VER) // No Makefile used
# include <intrin.h> // Microsoft header for _BitScanForward64()
# define IS_64BIT
#endif
#if defined(_WIN64) && defined(_MSC_VER) // No Makefile used
#include <intrin.h> // Microsoft header for _BitScanForward64()
#define IS_64BIT
#endif
#if defined(USE_POPCNT) && (defined(__INTEL_COMPILER) || defined(_MSC_VER))
# include <nmmintrin.h> // Intel and Microsoft header for _mm_popcnt_u64()
#endif
#if defined(USE_POPCNT) && defined(_MSC_VER)
#include <nmmintrin.h> // Microsoft header for _mm_popcnt_u64()
#endif
#if !defined(NO_PREFETCH) && (defined(__INTEL_COMPILER) || defined(_MSC_VER))
# include <xmmintrin.h> // Intel and Microsoft header for _mm_prefetch()
#endif
#if !defined(NO_PREFETCH) && defined(_MSC_VER)
#include <xmmintrin.h> // Microsoft header for _mm_prefetch()
#endif
#if defined(USE_PEXT)
# include <immintrin.h> // Header for _pext_u64() intrinsic
# define pext(b, m) _pext_u64(b, m)
#else
# define pext(b, m) 0
#endif
#if defined(USE_PEXT)
#include <immintrin.h> // Header for _pext_u64() intrinsic
#define pext(b, m) _pext_u64(b, m)
#else
#define pext(b, m) 0
#endif
namespace Stockfish {
#ifdef USE_POPCNT
#ifdef USE_POPCNT
constexpr bool HasPopCnt = true;
#else
#else
constexpr bool HasPopCnt = false;
#endif
#endif
#ifdef USE_PEXT
#ifdef USE_PEXT
constexpr bool HasPext = true;
#else
#else
constexpr bool HasPext = false;
#endif
#endif
#ifdef IS_64BIT
#ifdef IS_64BIT
constexpr bool Is64Bit = true;
#else
#else
constexpr bool Is64Bit = false;
#endif
#endif
using Key = uint64_t;
using Key = uint64_t;
using Bitboard = uint64_t;
constexpr int MAX_MOVES = 256;
constexpr int MAX_PLY = 246;
/// A move needs 16 bits to be stored
///
/// bit 0- 5: destination square (from 0 to 63)
/// bit 6-11: origin square (from 0 to 63)
/// bit 12-13: promotion piece type - 2 (from KNIGHT-2 to QUEEN-2)
/// bit 14-15: special move flag: promotion (1), en passant (2), castling (3)
/// NOTE: en passant bit is set only when a pawn can be captured
///
/// Special cases are MOVE_NONE and MOVE_NULL. We can sneak these in because in
/// any normal move destination square is always different from origin square
/// while MOVE_NONE and MOVE_NULL have the same origin and destination square.
enum Move : int {
MOVE_NONE,
MOVE_NULL = 65
};
enum MoveType {
NORMAL,
PROMOTION = 1 << 14,
EN_PASSANT = 2 << 14,
CASTLING = 3 << 14
};
enum Color {
WHITE, BLACK, COLOR_NB = 2
WHITE,
BLACK,
COLOR_NB = 2
};
enum CastlingRights {
NO_CASTLING,
WHITE_OO,
WHITE_OOO = WHITE_OO << 1,
BLACK_OO = WHITE_OO << 2,
BLACK_OOO = WHITE_OO << 3,
NO_CASTLING,
WHITE_OO,
WHITE_OOO = WHITE_OO << 1,
BLACK_OO = WHITE_OO << 2,
BLACK_OOO = WHITE_OO << 3,
KING_SIDE = WHITE_OO | BLACK_OO,
QUEEN_SIDE = WHITE_OOO | BLACK_OOO,
WHITE_CASTLING = WHITE_OO | WHITE_OOO,
BLACK_CASTLING = BLACK_OO | BLACK_OOO,
ANY_CASTLING = WHITE_CASTLING | BLACK_CASTLING,
KING_SIDE = WHITE_OO | BLACK_OO,
QUEEN_SIDE = WHITE_OOO | BLACK_OOO,
WHITE_CASTLING = WHITE_OO | WHITE_OOO,
BLACK_CASTLING = BLACK_OO | BLACK_OOO,
ANY_CASTLING = WHITE_CASTLING | BLACK_CASTLING,
CASTLING_RIGHT_NB = 16
};
enum Phase {
PHASE_ENDGAME,
PHASE_MIDGAME = 128,
MG = 0, EG = 1, PHASE_NB = 2
};
enum ScaleFactor {
SCALE_FACTOR_DRAW = 0,
SCALE_FACTOR_NORMAL = 64,
SCALE_FACTOR_MAX = 128,
SCALE_FACTOR_NONE = 255
CASTLING_RIGHT_NB = 16
};
enum Bound {
BOUND_NONE,
BOUND_UPPER,
BOUND_LOWER,
BOUND_EXACT = BOUND_UPPER | BOUND_LOWER
BOUND_NONE,
BOUND_UPPER,
BOUND_LOWER,
BOUND_EXACT = BOUND_UPPER | BOUND_LOWER
};
enum Value : int {
VALUE_ZERO = 0,
VALUE_DRAW = 0,
VALUE_KNOWN_WIN = 10000,
VALUE_MATE = 32000,
VALUE_INFINITE = 32001,
VALUE_NONE = 32002,
// Value is used as an alias for int16_t, this is done to differentiate between
// a search value and any other integer value. The values used in search are always
// supposed to be in the range (-VALUE_NONE, VALUE_NONE] and should not exceed this range.
using Value = int;
VALUE_TB_WIN_IN_MAX_PLY = VALUE_MATE - 2 * MAX_PLY,
VALUE_TB_LOSS_IN_MAX_PLY = -VALUE_TB_WIN_IN_MAX_PLY,
VALUE_MATE_IN_MAX_PLY = VALUE_MATE - MAX_PLY,
VALUE_MATED_IN_MAX_PLY = -VALUE_MATE_IN_MAX_PLY,
constexpr Value VALUE_ZERO = 0;
constexpr Value VALUE_DRAW = 0;
constexpr Value VALUE_NONE = 32002;
constexpr Value VALUE_INFINITE = 32001;
// In the code, we make the assumption that these values
// are such that non_pawn_material() can be used to uniquely
// identify the material on the board.
PawnValueMg = 126, PawnValueEg = 208,
KnightValueMg = 781, KnightValueEg = 854,
BishopValueMg = 825, BishopValueEg = 915,
RookValueMg = 1276, RookValueEg = 1380,
QueenValueMg = 2538, QueenValueEg = 2682,
constexpr Value VALUE_MATE = 32000;
constexpr Value VALUE_MATE_IN_MAX_PLY = VALUE_MATE - MAX_PLY;
constexpr Value VALUE_MATED_IN_MAX_PLY = -VALUE_MATE_IN_MAX_PLY;
MidgameLimit = 15258, EndgameLimit = 3915
};
constexpr Value VALUE_TB = VALUE_MATE_IN_MAX_PLY - 1;
constexpr Value VALUE_TB_WIN_IN_MAX_PLY = VALUE_TB - MAX_PLY;
constexpr Value VALUE_TB_LOSS_IN_MAX_PLY = -VALUE_TB_WIN_IN_MAX_PLY;
// In the code, we make the assumption that these values
// are such that non_pawn_material() can be used to uniquely
// identify the material on the board.
constexpr Value PawnValue = 208;
constexpr Value KnightValue = 781;
constexpr Value BishopValue = 825;
constexpr Value RookValue = 1276;
constexpr Value QueenValue = 2538;
// clang-format off
enum PieceType {
NO_PIECE_TYPE, PAWN, KNIGHT, BISHOP, ROOK, QUEEN, KING,
ALL_PIECES = 0,
PIECE_TYPE_NB = 8
NO_PIECE_TYPE, PAWN, KNIGHT, BISHOP, ROOK, QUEEN, KING,
ALL_PIECES = 0,
PIECE_TYPE_NB = 8
};
enum Piece {
NO_PIECE,
W_PAWN = PAWN, W_KNIGHT, W_BISHOP, W_ROOK, W_QUEEN, W_KING,
B_PAWN = PAWN + 8, B_KNIGHT, B_BISHOP, B_ROOK, B_QUEEN, B_KING,
PIECE_NB = 16
NO_PIECE,
W_PAWN = PAWN, W_KNIGHT, W_BISHOP, W_ROOK, W_QUEEN, W_KING,
B_PAWN = PAWN + 8, B_KNIGHT, B_BISHOP, B_ROOK, B_QUEEN, B_KING,
PIECE_NB = 16
};
// clang-format on
constexpr Value PieceValue[PHASE_NB][PIECE_NB] = {
{ VALUE_ZERO, PawnValueMg, KnightValueMg, BishopValueMg, RookValueMg, QueenValueMg, VALUE_ZERO, VALUE_ZERO,
VALUE_ZERO, PawnValueMg, KnightValueMg, BishopValueMg, RookValueMg, QueenValueMg, VALUE_ZERO, VALUE_ZERO },
{ VALUE_ZERO, PawnValueEg, KnightValueEg, BishopValueEg, RookValueEg, QueenValueEg, VALUE_ZERO, VALUE_ZERO,
VALUE_ZERO, PawnValueEg, KnightValueEg, BishopValueEg, RookValueEg, QueenValueEg, VALUE_ZERO, VALUE_ZERO }
};
constexpr Value PieceValue[PIECE_NB] = {
VALUE_ZERO, PawnValue, KnightValue, BishopValue, RookValue, QueenValue, VALUE_ZERO, VALUE_ZERO,
VALUE_ZERO, PawnValue, KnightValue, BishopValue, RookValue, QueenValue, VALUE_ZERO, VALUE_ZERO};
using Depth = int;
enum : int {
DEPTH_QS_CHECKS = 0,
DEPTH_QS_NO_CHECKS = -1,
DEPTH_QS_RECAPTURES = -5,
DEPTH_QS_CHECKS = 0,
DEPTH_QS_NO_CHECKS = -1,
DEPTH_NONE = -6,
DEPTH_NONE = -6,
DEPTH_OFFSET = -7 // value used only for TT entry occupancy check
DEPTH_OFFSET = -7 // value used only for TT entry occupancy check
};
// clang-format off
enum Square : int {
SQ_A1, SQ_B1, SQ_C1, SQ_D1, SQ_E1, SQ_F1, SQ_G1, SQ_H1,
SQ_A2, SQ_B2, SQ_C2, SQ_D2, SQ_E2, SQ_F2, SQ_G2, SQ_H2,
SQ_A3, SQ_B3, SQ_C3, SQ_D3, SQ_E3, SQ_F3, SQ_G3, SQ_H3,
SQ_A4, SQ_B4, SQ_C4, SQ_D4, SQ_E4, SQ_F4, SQ_G4, SQ_H4,
SQ_A5, SQ_B5, SQ_C5, SQ_D5, SQ_E5, SQ_F5, SQ_G5, SQ_H5,
SQ_A6, SQ_B6, SQ_C6, SQ_D6, SQ_E6, SQ_F6, SQ_G6, SQ_H6,
SQ_A7, SQ_B7, SQ_C7, SQ_D7, SQ_E7, SQ_F7, SQ_G7, SQ_H7,
SQ_A8, SQ_B8, SQ_C8, SQ_D8, SQ_E8, SQ_F8, SQ_G8, SQ_H8,
SQ_NONE,
SQ_A1, SQ_B1, SQ_C1, SQ_D1, SQ_E1, SQ_F1, SQ_G1, SQ_H1,
SQ_A2, SQ_B2, SQ_C2, SQ_D2, SQ_E2, SQ_F2, SQ_G2, SQ_H2,
SQ_A3, SQ_B3, SQ_C3, SQ_D3, SQ_E3, SQ_F3, SQ_G3, SQ_H3,
SQ_A4, SQ_B4, SQ_C4, SQ_D4, SQ_E4, SQ_F4, SQ_G4, SQ_H4,
SQ_A5, SQ_B5, SQ_C5, SQ_D5, SQ_E5, SQ_F5, SQ_G5, SQ_H5,
SQ_A6, SQ_B6, SQ_C6, SQ_D6, SQ_E6, SQ_F6, SQ_G6, SQ_H6,
SQ_A7, SQ_B7, SQ_C7, SQ_D7, SQ_E7, SQ_F7, SQ_G7, SQ_H7,
SQ_A8, SQ_B8, SQ_C8, SQ_D8, SQ_E8, SQ_F8, SQ_G8, SQ_H8,
SQ_NONE,
SQUARE_ZERO = 0,
SQUARE_NB = 64
SQUARE_ZERO = 0,
SQUARE_NB = 64
};
// clang-format on
enum Direction : int {
NORTH = 8,
EAST = 1,
SOUTH = -NORTH,
WEST = -EAST,
NORTH = 8,
EAST = 1,
SOUTH = -NORTH,
WEST = -EAST,
NORTH_EAST = NORTH + EAST,
SOUTH_EAST = SOUTH + EAST,
SOUTH_WEST = SOUTH + WEST,
NORTH_WEST = NORTH + WEST
NORTH_EAST = NORTH + EAST,
SOUTH_EAST = SOUTH + EAST,
SOUTH_WEST = SOUTH + WEST,
NORTH_WEST = NORTH + WEST
};
enum File : int {
FILE_A, FILE_B, FILE_C, FILE_D, FILE_E, FILE_F, FILE_G, FILE_H, FILE_NB
FILE_A,
FILE_B,
FILE_C,
FILE_D,
FILE_E,
FILE_F,
FILE_G,
FILE_H,
FILE_NB
};
enum Rank : int {
RANK_1, RANK_2, RANK_3, RANK_4, RANK_5, RANK_6, RANK_7, RANK_8, RANK_NB
RANK_1,
RANK_2,
RANK_3,
RANK_4,
RANK_5,
RANK_6,
RANK_7,
RANK_8,
RANK_NB
};
// Keep track of what a move changes on the board (used by NNUE)
struct DirtyPiece {
// Number of changed pieces
int dirty_num;
// Number of changed pieces
int dirty_num;
// Max 3 pieces can change in one move. A promotion with capture moves
// both the pawn and the captured piece to SQ_NONE and the piece promoted
// to from SQ_NONE to the capture square.
Piece piece[3];
// Max 3 pieces can change in one move. A promotion with capture moves
// both the pawn and the captured piece to SQ_NONE and the piece promoted
// to from SQ_NONE to the capture square.
Piece piece[3];
// From and to squares, which may be SQ_NONE
Square from[3];
Square to[3];
// From and to squares, which may be SQ_NONE
Square from[3];
Square to[3];
};
/// Score enum stores a middlegame and an endgame value in a single integer (enum).
/// The least significant 16 bits are used to store the middlegame value and the
/// upper 16 bits are used to store the endgame value. We have to take care to
/// avoid left-shifting a signed int to avoid undefined behavior.
enum Score : int { SCORE_ZERO };
#define ENABLE_INCR_OPERATORS_ON(T) \
inline T& operator++(T& d) { return d = T(int(d) + 1); } \
inline T& operator--(T& d) { return d = T(int(d) - 1); }
constexpr Score make_score(int mg, int eg) {
return Score((int)((unsigned int)eg << 16) + mg);
}
/// Extracting the signed lower and upper 16 bits is not so trivial because
/// according to the standard a simple cast to short is implementation defined
/// and so is a right shift of a signed integer.
inline Value eg_value(Score s) {
union { uint16_t u; int16_t s; } eg = { uint16_t(unsigned(s + 0x8000) >> 16) };
return Value(eg.s);
}
inline Value mg_value(Score s) {
union { uint16_t u; int16_t s; } mg = { uint16_t(unsigned(s)) };
return Value(mg.s);
}
#define ENABLE_BASE_OPERATORS_ON(T) \
constexpr T operator+(T d1, int d2) { return T(int(d1) + d2); } \
constexpr T operator-(T d1, int d2) { return T(int(d1) - d2); } \
constexpr T operator-(T d) { return T(-int(d)); } \
inline T& operator+=(T& d1, int d2) { return d1 = d1 + d2; } \
inline T& operator-=(T& d1, int d2) { return d1 = d1 - d2; }
#define ENABLE_INCR_OPERATORS_ON(T) \
inline T& operator++(T& d) { return d = T(int(d) + 1); } \
inline T& operator--(T& d) { return d = T(int(d) - 1); }
#define ENABLE_FULL_OPERATORS_ON(T) \
ENABLE_BASE_OPERATORS_ON(T) \
constexpr T operator*(int i, T d) { return T(i * int(d)); } \
constexpr T operator*(T d, int i) { return T(int(d) * i); } \
constexpr T operator/(T d, int i) { return T(int(d) / i); } \
constexpr int operator/(T d1, T d2) { return int(d1) / int(d2); } \
inline T& operator*=(T& d, int i) { return d = T(int(d) * i); } \
inline T& operator/=(T& d, int i) { return d = T(int(d) / i); }
ENABLE_FULL_OPERATORS_ON(Value)
ENABLE_FULL_OPERATORS_ON(Direction)
ENABLE_INCR_OPERATORS_ON(Piece)
ENABLE_INCR_OPERATORS_ON(PieceType)
ENABLE_INCR_OPERATORS_ON(Square)
ENABLE_INCR_OPERATORS_ON(File)
ENABLE_INCR_OPERATORS_ON(Rank)
ENABLE_BASE_OPERATORS_ON(Score)
#undef ENABLE_INCR_OPERATORS_ON
#undef ENABLE_FULL_OPERATORS_ON
#undef ENABLE_INCR_OPERATORS_ON
#undef ENABLE_BASE_OPERATORS_ON
constexpr Direction operator+(Direction d1, Direction d2) { return Direction(int(d1) + int(d2)); }
constexpr Direction operator*(int i, Direction d) { return Direction(i * int(d)); }
/// Additional operators to add a Direction to a Square
// Additional operators to add a Direction to a Square
constexpr Square operator+(Square s, Direction d) { return Square(int(s) + int(d)); }
constexpr Square operator-(Square s, Direction d) { return Square(int(s) - int(d)); }
inline Square& operator+=(Square& s, Direction d) { return s = s + d; }
inline Square& operator-=(Square& s, Direction d) { return s = s - d; }
inline Square& operator+=(Square& s, Direction d) { return s = s + d; }
inline Square& operator-=(Square& s, Direction d) { return s = s - d; }
/// Only declared but not defined. We don't want to multiply two scores due to
/// a very high risk of overflow. So user should explicitly convert to integer.
Score operator*(Score, Score) = delete;
// Toggle color
constexpr Color operator~(Color c) { return Color(c ^ BLACK); }
/// Division of a Score must be handled separately for each term
inline Score operator/(Score s, int i) {
return make_score(mg_value(s) / i, eg_value(s) / i);
}
// Swap A1 <-> A8
constexpr Square flip_rank(Square s) { return Square(s ^ SQ_A8); }
/// Multiplication of a Score by an integer. We check for overflow in debug mode.
inline Score operator*(Score s, int i) {
// Swap A1 <-> H1
constexpr Square flip_file(Square s) { return Square(s ^ SQ_H1); }
Score result = Score(int(s) * i);
assert(eg_value(result) == (i * eg_value(s)));
assert(mg_value(result) == (i * mg_value(s)));
assert((i == 0) || (result / i) == s);
return result;
}
/// Multiplication of a Score by a boolean
inline Score operator*(Score s, bool b) {
return b ? s : SCORE_ZERO;
}
constexpr Color operator~(Color c) {
return Color(c ^ BLACK); // Toggle color
}
constexpr Square flip_rank(Square s) { // Swap A1 <-> A8
return Square(s ^ SQ_A8);
}
constexpr Square flip_file(Square s) { // Swap A1 <-> H1
return Square(s ^ SQ_H1);
}
constexpr Piece operator~(Piece pc) {
return Piece(pc ^ 8); // Swap color of piece B_KNIGHT <-> W_KNIGHT
}
// Swap color of piece B_KNIGHT <-> W_KNIGHT
constexpr Piece operator~(Piece pc) { return Piece(pc ^ 8); }
constexpr CastlingRights operator&(Color c, CastlingRights cr) {
return CastlingRights((c == WHITE ? WHITE_CASTLING : BLACK_CASTLING) & cr);
return CastlingRights((c == WHITE ? WHITE_CASTLING : BLACK_CASTLING) & cr);
}
constexpr Value mate_in(int ply) {
return VALUE_MATE - ply;
}
constexpr Value mate_in(int ply) { return VALUE_MATE - ply; }
constexpr Value mated_in(int ply) {
return -VALUE_MATE + ply;
}
constexpr Value mated_in(int ply) { return -VALUE_MATE + ply; }
constexpr Square make_square(File f, Rank r) {
return Square((r << 3) + f);
}
constexpr Square make_square(File f, Rank r) { return Square((r << 3) + f); }
constexpr Piece make_piece(Color c, PieceType pt) {
return Piece((c << 3) + pt);
}
constexpr Piece make_piece(Color c, PieceType pt) { return Piece((c << 3) + pt); }
constexpr PieceType type_of(Piece pc) {
return PieceType(pc & 7);
}
constexpr PieceType type_of(Piece pc) { return PieceType(pc & 7); }
inline Color color_of(Piece pc) {
assert(pc != NO_PIECE);
return Color(pc >> 3);
assert(pc != NO_PIECE);
return Color(pc >> 3);
}
constexpr bool is_ok(Move m) {
return m != MOVE_NONE && m != MOVE_NULL;
}
constexpr bool is_ok(Square s) { return s >= SQ_A1 && s <= SQ_H8; }
constexpr bool is_ok(Square s) {
return s >= SQ_A1 && s <= SQ_H8;
}
constexpr File file_of(Square s) { return File(s & 7); }
constexpr File file_of(Square s) {
return File(s & 7);
}
constexpr Rank rank_of(Square s) { return Rank(s >> 3); }
constexpr Rank rank_of(Square s) {
return Rank(s >> 3);
}
constexpr Square relative_square(Color c, Square s) { return Square(s ^ (c * 56)); }
constexpr Square relative_square(Color c, Square s) {
return Square(s ^ (c * 56));
}
constexpr Rank relative_rank(Color c, Rank r) { return Rank(r ^ (c * 7)); }
constexpr Rank relative_rank(Color c, Rank r) {
return Rank(r ^ (c * 7));
}
constexpr Rank relative_rank(Color c, Square s) { return relative_rank(c, rank_of(s)); }
constexpr Rank relative_rank(Color c, Square s) {
return relative_rank(c, rank_of(s));
}
constexpr Direction pawn_push(Color c) { return c == WHITE ? NORTH : SOUTH; }
constexpr Direction pawn_push(Color c) {
return c == WHITE ? NORTH : SOUTH;
}
constexpr Square from_sq(Move m) {
assert(is_ok(m));
return Square((m >> 6) & 0x3F);
}
constexpr Square to_sq(Move m) {
assert(is_ok(m));
return Square(m & 0x3F);
}
constexpr int from_to(Move m) {
return m & 0xFFF;
}
constexpr MoveType type_of(Move m) {
return MoveType(m & (3 << 14));
}
constexpr PieceType promotion_type(Move m) {
return PieceType(((m >> 12) & 3) + KNIGHT);
}
constexpr Move make_move(Square from, Square to) {
return Move((from << 6) + to);
}
template<MoveType T>
constexpr Move make(Square from, Square to, PieceType pt = KNIGHT) {
return Move(T + ((pt - KNIGHT) << 12) + (from << 6) + to);
}
/// Based on a congruential pseudo random number generator
// Based on a congruential pseudo-random number generator
constexpr Key make_key(uint64_t seed) {
return seed * 6364136223846793005ULL + 1442695040888963407ULL;
return seed * 6364136223846793005ULL + 1442695040888963407ULL;
}
} // namespace Stockfish
#endif // #ifndef TYPES_H_INCLUDED
enum MoveType {
NORMAL,
PROMOTION = 1 << 14,
EN_PASSANT = 2 << 14,
CASTLING = 3 << 14
};
#include "tune.h" // Global visibility to tuning setup
// A move needs 16 bits to be stored
//
// bit 0- 5: destination square (from 0 to 63)
// bit 6-11: origin square (from 0 to 63)
// bit 12-13: promotion piece type - 2 (from KNIGHT-2 to QUEEN-2)
// bit 14-15: special move flag: promotion (1), en passant (2), castling (3)
// NOTE: en passant bit is set only when a pawn can be captured
//
// Special cases are Move::none() and Move::null(). We can sneak these in because in
// any normal move destination square is always different from origin square
// while Move::none() and Move::null() have the same origin and destination square.
class Move {
public:
Move() = default;
constexpr explicit Move(std::uint16_t d) :
data(d) {}
constexpr Move(Square from, Square to) :
data((from << 6) + to) {}
template<MoveType T>
static constexpr Move make(Square from, Square to, PieceType pt = KNIGHT) {
return Move(T + ((pt - KNIGHT) << 12) + (from << 6) + to);
}
constexpr Square from_sq() const {
assert(is_ok());
return Square((data >> 6) & 0x3F);
}
constexpr Square to_sq() const {
assert(is_ok());
return Square(data & 0x3F);
}
constexpr int from_to() const { return data & 0xFFF; }
constexpr MoveType type_of() const { return MoveType(data & (3 << 14)); }
constexpr PieceType promotion_type() const { return PieceType(((data >> 12) & 3) + KNIGHT); }
constexpr bool is_ok() const { return none().data != data && null().data != data; }
static constexpr Move null() { return Move(65); }
static constexpr Move none() { return Move(0); }
constexpr bool operator==(const Move& m) const { return data == m.data; }
constexpr bool operator!=(const Move& m) const { return data != m.data; }
constexpr explicit operator bool() const { return data != 0; }
constexpr std::uint16_t raw() const { return data; }
struct MoveHash {
std::size_t operator()(const Move& m) const { return make_key(m.data); }
};
protected:
std::uint16_t data;
};
} // namespace Stockfish
#endif // #ifndef TYPES_H_INCLUDED
#include "tune.h" // Global visibility to tuning setup
+338 -317
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -16,50 +16,296 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "uci.h"
#include <algorithm>
#include <cassert>
#include <cctype>
#include <cmath>
#include <iostream>
#include <cstdlib>
#include <deque>
#include <memory>
#include <optional>
#include <sstream>
#include <string>
#include <vector>
#include <cstdint>
#include "benchmark.h"
#include "evaluate.h"
#include "movegen.h"
#include "nnue/evaluate_nnue.h"
#include "nnue/nnue_architecture.h"
#include "position.h"
#include "search.h"
#include "thread.h"
#include "timeman.h"
#include "tt.h"
#include "uci.h"
#include "syzygy/tbprobe.h"
#include "nnue/evaluate_nnue.h"
using namespace std;
#include "types.h"
#include "ucioption.h"
#include "perft.h"
namespace Stockfish {
namespace {
constexpr auto StartFEN = "rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR w KQkq - 0 1";
constexpr int NormalizeToPawnValue = 356;
constexpr int MaxHashMB = Is64Bit ? 33554432 : 2048;
// FEN string for the initial position in standard chess
const char* StartFEN = "rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR w KQkq - 0 1";
UCI::UCI(int argc, char** argv) :
cli(argc, argv) {
evalFiles = {{Eval::NNUE::Big, {"EvalFile", EvalFileDefaultNameBig, "None", ""}},
{Eval::NNUE::Small, {"EvalFileSmall", EvalFileDefaultNameSmall, "None", ""}}};
// position() is called when the engine receives the "position" UCI command.
// It sets up the position that is described in the given FEN string ("fen") or
// the initial position ("startpos") and then makes the moves given in the following
// move list ("moves").
options["Debug Log File"] << Option("", [](const Option& o) { start_logger(o); });
void position(Position& pos, istringstream& is, StateListPtr& states) {
options["Threads"] << Option(1, 1, 1024, [this](const Option&) {
threads.set({options, threads, tt});
});
Move m;
string token, fen;
options["Hash"] << Option(16, 1, MaxHashMB, [this](const Option& o) {
threads.main_thread()->wait_for_search_finished();
tt.resize(o, options["Threads"]);
});
options["Clear Hash"] << Option([this](const Option&) { search_clear(); });
options["Ponder"] << Option(false);
options["MultiPV"] << Option(1, 1, MAX_MOVES);
options["Skill Level"] << Option(20, 0, 20);
options["Move Overhead"] << Option(10, 0, 5000);
options["nodestime"] << Option(0, 0, 10000);
options["UCI_Chess960"] << Option(false);
options["UCI_LimitStrength"] << Option(false);
options["UCI_Elo"] << Option(1320, 1320, 3190);
options["UCI_ShowWDL"] << Option(false);
options["SyzygyPath"] << Option("<empty>", [](const Option& o) { Tablebases::init(o); });
options["SyzygyProbeDepth"] << Option(1, 1, 100);
options["Syzygy50MoveRule"] << Option(true);
options["SyzygyProbeLimit"] << Option(7, 0, 7);
options["EvalFile"] << Option(EvalFileDefaultNameBig, [this](const Option&) {
evalFiles = Eval::NNUE::load_networks(cli.binaryDirectory, options, evalFiles);
});
options["EvalFileSmall"] << Option(EvalFileDefaultNameSmall, [this](const Option&) {
evalFiles = Eval::NNUE::load_networks(cli.binaryDirectory, options, evalFiles);
});
threads.set({options, threads, tt});
search_clear(); // After threads are up
}
void UCI::loop() {
Position pos;
std::string token, cmd;
StateListPtr states(new std::deque<StateInfo>(1));
pos.set(StartFEN, false, &states->back());
for (int i = 1; i < cli.argc; ++i)
cmd += std::string(cli.argv[i]) + " ";
do
{
if (cli.argc == 1
&& !getline(std::cin, cmd)) // Wait for an input or an end-of-file (EOF) indication
cmd = "quit";
std::istringstream is(cmd);
token.clear(); // Avoid a stale if getline() returns nothing or a blank line
is >> std::skipws >> token;
if (token == "quit" || token == "stop")
threads.stop = true;
// The GUI sends 'ponderhit' to tell that the user has played the expected move.
// So, 'ponderhit' is sent if pondering was done on the same move that the user
// has played. The search should continue, but should also switch from pondering
// to the normal search.
else if (token == "ponderhit")
threads.main_manager()->ponder = false; // Switch to the normal search
else if (token == "uci")
sync_cout << "id name " << engine_info(true) << "\n"
<< options << "\nuciok" << sync_endl;
else if (token == "setoption")
setoption(is);
else if (token == "go")
go(pos, is, states);
else if (token == "position")
position(pos, is, states);
else if (token == "ucinewgame")
search_clear();
else if (token == "isready")
sync_cout << "readyok" << sync_endl;
// Add custom non-UCI commands, mainly for debugging purposes.
// These commands must not be used during a search!
else if (token == "flip")
pos.flip();
else if (token == "bench")
bench(pos, is, states);
else if (token == "d")
sync_cout << pos << sync_endl;
else if (token == "eval")
trace_eval(pos);
else if (token == "compiler")
sync_cout << compiler_info() << sync_endl;
else if (token == "export_net")
{
std::optional<std::string> filename;
std::string f;
if (is >> std::skipws >> f)
filename = f;
Eval::NNUE::save_eval(filename, Eval::NNUE::Big, evalFiles);
}
else if (token == "--help" || token == "help" || token == "--license" || token == "license")
sync_cout
<< "\nStockfish is a powerful chess engine for playing and analyzing."
"\nIt is released as free software licensed under the GNU GPLv3 License."
"\nStockfish is normally used with a graphical user interface (GUI) and implements"
"\nthe Universal Chess Interface (UCI) protocol to communicate with a GUI, an API, etc."
"\nFor any further information, visit https://github.com/official-stockfish/Stockfish#readme"
"\nor read the corresponding README.md and Copying.txt files distributed along with this program.\n"
<< sync_endl;
else if (!token.empty() && token[0] != '#')
sync_cout << "Unknown command: '" << cmd << "'. Type help for more information."
<< sync_endl;
} while (token != "quit" && cli.argc == 1); // The command-line arguments are one-shot
}
void UCI::go(Position& pos, std::istringstream& is, StateListPtr& states) {
Search::LimitsType limits;
std::string token;
bool ponderMode = false;
limits.startTime = now(); // The search starts as early as possible
while (is >> token)
if (token == "searchmoves") // Needs to be the last command on the line
while (is >> token)
limits.searchmoves.push_back(to_move(pos, token));
else if (token == "wtime")
is >> limits.time[WHITE];
else if (token == "btime")
is >> limits.time[BLACK];
else if (token == "winc")
is >> limits.inc[WHITE];
else if (token == "binc")
is >> limits.inc[BLACK];
else if (token == "movestogo")
is >> limits.movestogo;
else if (token == "depth")
is >> limits.depth;
else if (token == "nodes")
is >> limits.nodes;
else if (token == "movetime")
is >> limits.movetime;
else if (token == "mate")
is >> limits.mate;
else if (token == "perft")
is >> limits.perft;
else if (token == "infinite")
limits.infinite = 1;
else if (token == "ponder")
ponderMode = true;
Eval::NNUE::verify(options, evalFiles);
if (limits.perft)
{
perft(pos.fen(), limits.perft, options["UCI_Chess960"]);
return;
}
threads.start_thinking(options, pos, states, limits, ponderMode);
}
void UCI::bench(Position& pos, std::istream& args, StateListPtr& states) {
std::string token;
uint64_t num, nodes = 0, cnt = 1;
std::vector<std::string> list = setup_bench(pos, args);
num = count_if(list.begin(), list.end(),
[](const std::string& s) { return s.find("go ") == 0 || s.find("eval") == 0; });
TimePoint elapsed = now();
for (const auto& cmd : list)
{
std::istringstream is(cmd);
is >> std::skipws >> token;
if (token == "go" || token == "eval")
{
std::cerr << "\nPosition: " << cnt++ << '/' << num << " (" << pos.fen() << ")"
<< std::endl;
if (token == "go")
{
go(pos, is, states);
threads.main_thread()->wait_for_search_finished();
nodes += threads.nodes_searched();
}
else
trace_eval(pos);
}
else if (token == "setoption")
setoption(is);
else if (token == "position")
position(pos, is, states);
else if (token == "ucinewgame")
{
search_clear(); // Search::clear() may take a while
elapsed = now();
}
}
elapsed = now() - elapsed + 1; // Ensure positivity to avoid a 'divide by zero'
dbg_print();
std::cerr << "\n==========================="
<< "\nTotal time (ms) : " << elapsed << "\nNodes searched : " << nodes
<< "\nNodes/second : " << 1000 * nodes / elapsed << std::endl;
}
void UCI::trace_eval(Position& pos) {
StateListPtr states(new std::deque<StateInfo>(1));
Position p;
p.set(pos.fen(), options["UCI_Chess960"], &states->back());
Eval::NNUE::verify(options, evalFiles);
sync_cout << "\n" << Eval::trace(p) << sync_endl;
}
void UCI::search_clear() {
threads.main_thread()->wait_for_search_finished();
tt.clear(options["Threads"]);
threads.clear();
Tablebases::init(options["SyzygyPath"]); // Free mapped files
}
void UCI::setoption(std::istringstream& is) {
threads.main_thread()->wait_for_search_finished();
options.setoption(is);
}
void UCI::position(Position& pos, std::istringstream& is, StateListPtr& states) {
Move m;
std::string token, fen;
is >> token;
if (token == "startpos")
{
fen = StartFEN;
is >> token; // Consume the "moves" token, if any
is >> token; // Consume the "moves" token, if any
}
else if (token == "fen")
while (is >> token && token != "moves")
@@ -67,332 +313,107 @@ namespace {
else
return;
states = StateListPtr(new std::deque<StateInfo>(1)); // Drop the old state and create a new one
pos.set(fen, Options["UCI_Chess960"], &states->back(), Threads.main());
states = StateListPtr(new std::deque<StateInfo>(1)); // Drop the old state and create a new one
pos.set(fen, options["UCI_Chess960"], &states->back());
// Parse the move list, if any
while (is >> token && (m = UCI::to_move(pos, token)) != MOVE_NONE)
while (is >> token && (m = to_move(pos, token)) != Move::none())
{
states->emplace_back();
pos.do_move(m, states->back());
}
}
}
// trace_eval() prints the evaluation of the current position, consistent with
// the UCI options set so far.
int UCI::to_cp(Value v) { return 100 * v / NormalizeToPawnValue; }
void trace_eval(Position& pos) {
std::string UCI::value(Value v) {
assert(-VALUE_INFINITE < v && v < VALUE_INFINITE);
StateListPtr states(new std::deque<StateInfo>(1));
Position p;
p.set(pos.fen(), Options["UCI_Chess960"], &states->back(), Threads.main());
std::stringstream ss;
Eval::NNUE::verify();
sync_cout << "\n" << Eval::trace(p) << sync_endl;
}
// setoption() is called when the engine receives the "setoption" UCI command.
// The function updates the UCI option ("name") to the given value ("value").
void setoption(istringstream& is) {
string token, name, value;
is >> token; // Consume the "name" token
// Read the option name (can contain spaces)
while (is >> token && token != "value")
name += (name.empty() ? "" : " ") + token;
// Read the option value (can contain spaces)
while (is >> token)
value += (value.empty() ? "" : " ") + token;
if (Options.count(name))
Options[name] = value;
else
sync_cout << "No such option: " << name << sync_endl;
}
// go() is called when the engine receives the "go" UCI command. The function
// sets the thinking time and other parameters from the input string, then starts
// with a search.
void go(Position& pos, istringstream& is, StateListPtr& states) {
Search::LimitsType limits;
string token;
bool ponderMode = false;
limits.startTime = now(); // The search starts as early as possible
while (is >> token)
if (token == "searchmoves") // Needs to be the last command on the line
while (is >> token)
limits.searchmoves.push_back(UCI::to_move(pos, token));
else if (token == "wtime") is >> limits.time[WHITE];
else if (token == "btime") is >> limits.time[BLACK];
else if (token == "winc") is >> limits.inc[WHITE];
else if (token == "binc") is >> limits.inc[BLACK];
else if (token == "movestogo") is >> limits.movestogo;
else if (token == "depth") is >> limits.depth;
else if (token == "nodes") is >> limits.nodes;
else if (token == "movetime") is >> limits.movetime;
else if (token == "mate") is >> limits.mate;
else if (token == "perft") is >> limits.perft;
else if (token == "infinite") limits.infinite = 1;
else if (token == "ponder") ponderMode = true;
Threads.start_thinking(pos, states, limits, ponderMode);
}
// bench() is called when the engine receives the "bench" command.
// Firstly, a list of UCI commands is set up according to the bench
// parameters, then it is run one by one, printing a summary at the end.
void bench(Position& pos, istream& args, StateListPtr& states) {
string token;
uint64_t num, nodes = 0, cnt = 1;
vector<string> list = setup_bench(pos, args);
num = count_if(list.begin(), list.end(), [](const string& s) { return s.find("go ") == 0 || s.find("eval") == 0; });
TimePoint elapsed = now();
for (const auto& cmd : list)
if (std::abs(v) < VALUE_TB_WIN_IN_MAX_PLY)
ss << "cp " << to_cp(v);
else if (std::abs(v) <= VALUE_TB)
{
istringstream is(cmd);
is >> skipws >> token;
if (token == "go" || token == "eval")
{
cerr << "\nPosition: " << cnt++ << '/' << num << " (" << pos.fen() << ")" << endl;
if (token == "go")
{
go(pos, is, states);
Threads.main()->wait_for_search_finished();
nodes += Threads.nodes_searched();
}
else
trace_eval(pos);
}
else if (token == "setoption") setoption(is);
else if (token == "position") position(pos, is, states);
else if (token == "ucinewgame") { Search::clear(); elapsed = now(); } // Search::clear() may take a while
const int ply = VALUE_TB - std::abs(v); // recompute ss->ply
ss << "cp " << (v > 0 ? 20000 - ply : -20000 + ply);
}
else
ss << "mate " << (v > 0 ? VALUE_MATE - v + 1 : -VALUE_MATE - v) / 2;
elapsed = now() - elapsed + 1; // Ensure positivity to avoid a 'divide by zero'
dbg_print();
cerr << "\n==========================="
<< "\nTotal time (ms) : " << elapsed
<< "\nNodes searched : " << nodes
<< "\nNodes/second : " << 1000 * nodes / elapsed << endl;
}
// The win rate model returns the probability of winning (in per mille units) given an
// eval and a game ply. It fits the LTC fishtest statistics rather accurately.
int win_rate_model(Value v, int ply) {
// The model only captures up to 240 plies, so limit the input and then rescale
double m = std::min(240, ply) / 64.0;
// The coefficients of a third-order polynomial fit is based on the fishtest data
// for two parameters that need to transform eval to the argument of a logistic
// function.
constexpr double as[] = { 0.38036525, -2.82015070, 23.17882135, 307.36768407};
constexpr double bs[] = { -2.29434733, 13.27689788, -14.26828904, 63.45318330 };
// Enforce that NormalizeToPawnValue corresponds to a 50% win rate at ply 64
static_assert(UCI::NormalizeToPawnValue == int(as[0] + as[1] + as[2] + as[3]));
double a = (((as[0] * m + as[1]) * m + as[2]) * m) + as[3];
double b = (((bs[0] * m + bs[1]) * m + bs[2]) * m) + bs[3];
// Transform the eval to centipawns with limited range
double x = std::clamp(double(v), -4000.0, 4000.0);
// Return the win rate in per mille units rounded to the nearest value
return int(0.5 + 1000 / (1 + std::exp((a - x) / b)));
}
} // namespace
/// UCI::loop() waits for a command from the stdin, parses it and then calls the appropriate
/// function. It also intercepts an end-of-file (EOF) indication from the stdin to ensure a
/// graceful exit if the GUI dies unexpectedly. When called with some command-line arguments,
/// like running 'bench', the function returns immediately after the command is executed.
/// In addition to the UCI ones, some additional debug commands are also supported.
void UCI::loop(int argc, char* argv[]) {
Position pos;
string token, cmd;
StateListPtr states(new std::deque<StateInfo>(1));
pos.set(StartFEN, false, &states->back(), Threads.main());
for (int i = 1; i < argc; ++i)
cmd += std::string(argv[i]) + " ";
do {
if (argc == 1 && !getline(cin, cmd)) // Wait for an input or an end-of-file (EOF) indication
cmd = "quit";
istringstream is(cmd);
token.clear(); // Avoid a stale if getline() returns nothing or a blank line
is >> skipws >> token;
if ( token == "quit"
|| token == "stop")
Threads.stop = true;
// The GUI sends 'ponderhit' to tell that the user has played the expected move.
// So, 'ponderhit' is sent if pondering was done on the same move that the user
// has played. The search should continue, but should also switch from pondering
// to the normal search.
else if (token == "ponderhit")
Threads.main()->ponder = false; // Switch to the normal search
else if (token == "uci")
sync_cout << "id name " << engine_info(true)
<< "\n" << Options
<< "\nuciok" << sync_endl;
else if (token == "setoption") setoption(is);
else if (token == "go") go(pos, is, states);
else if (token == "position") position(pos, is, states);
else if (token == "ucinewgame") Search::clear();
else if (token == "isready") sync_cout << "readyok" << sync_endl;
// Add custom non-UCI commands, mainly for debugging purposes.
// These commands must not be used during a search!
else if (token == "flip") pos.flip();
else if (token == "bench") bench(pos, is, states);
else if (token == "d") sync_cout << pos << sync_endl;
else if (token == "eval") trace_eval(pos);
else if (token == "compiler") sync_cout << compiler_info() << sync_endl;
else if (token == "export_net")
{
std::optional<std::string> filename;
std::string f;
if (is >> skipws >> f)
filename = f;
Eval::NNUE::save_eval(filename);
}
else if (token == "--help" || token == "help" || token == "--license" || token == "license")
sync_cout << "\nStockfish is a powerful chess engine for playing and analyzing."
"\nIt is released as free software licensed under the GNU GPLv3 License."
"\nStockfish is normally used with a graphical user interface (GUI) and implements"
"\nthe Universal Chess Interface (UCI) protocol to communicate with a GUI, an API, etc."
"\nFor any further information, visit https://github.com/official-stockfish/Stockfish#readme"
"\nor read the corresponding README.md and Copying.txt files distributed along with this program.\n" << sync_endl;
else if (!token.empty() && token[0] != '#')
sync_cout << "Unknown command: '" << cmd << "'. Type help for more information." << sync_endl;
} while (token != "quit" && argc == 1); // The command-line arguments are one-shot
return ss.str();
}
/// UCI::value() converts a Value to a string by adhering to the UCI protocol specification:
///
/// cp <x> The score from the engine's point of view in centipawns.
/// mate <y> Mate in 'y' moves (not plies). If the engine is getting mated,
/// uses negative values for 'y'.
string UCI::value(Value v) {
assert(-VALUE_INFINITE < v && v < VALUE_INFINITE);
stringstream ss;
if (abs(v) < VALUE_TB_WIN_IN_MAX_PLY)
ss << "cp " << v * 100 / NormalizeToPawnValue;
else if (abs(v) < VALUE_MATE_IN_MAX_PLY)
{
const int ply = VALUE_MATE_IN_MAX_PLY - 1 - std::abs(v); // recompute ss->ply
ss << "cp " << (v > 0 ? 20000 - ply : -20000 + ply);
}
else
ss << "mate " << (v > 0 ? VALUE_MATE - v + 1 : -VALUE_MATE - v) / 2;
return ss.str();
}
/// UCI::wdl() reports the win-draw-loss (WDL) statistics given an evaluation
/// and a game ply based on the data gathered for fishtest LTC games.
string UCI::wdl(Value v, int ply) {
stringstream ss;
int wdl_w = win_rate_model( v, ply);
int wdl_l = win_rate_model(-v, ply);
int wdl_d = 1000 - wdl_w - wdl_l;
ss << " wdl " << wdl_w << " " << wdl_d << " " << wdl_l;
return ss.str();
}
/// UCI::square() converts a Square to a string in algebraic notation (g1, a7, etc.)
std::string UCI::square(Square s) {
return std::string{ char('a' + file_of(s)), char('1' + rank_of(s)) };
return std::string{char('a' + file_of(s)), char('1' + rank_of(s))};
}
std::string UCI::move(Move m, bool chess960) {
if (m == Move::none())
return "(none)";
/// UCI::move() converts a Move to a string in coordinate notation (g1f3, a7a8q).
/// The only special case is castling where the e1g1 notation is printed in
/// standard chess mode and in e1h1 notation it is printed in Chess960 mode.
/// Internally, all castling moves are always encoded as 'king captures rook'.
if (m == Move::null())
return "0000";
string UCI::move(Move m, bool chess960) {
Square from = m.from_sq();
Square to = m.to_sq();
if (m == MOVE_NONE)
return "(none)";
if (m.type_of() == CASTLING && !chess960)
to = make_square(to > from ? FILE_G : FILE_C, rank_of(from));
if (m == MOVE_NULL)
return "0000";
std::string move = square(from) + square(to);
Square from = from_sq(m);
Square to = to_sq(m);
if (m.type_of() == PROMOTION)
move += " pnbrqk"[m.promotion_type()];
if (type_of(m) == CASTLING && !chess960)
to = make_square(to > from ? FILE_G : FILE_C, rank_of(from));
string move = UCI::square(from) + UCI::square(to);
if (type_of(m) == PROMOTION)
move += " pnbrqk"[promotion_type(m)];
return move;
return move;
}
namespace {
// The win rate model returns the probability of winning (in per mille units) given an
// eval and a game ply. It fits the LTC fishtest statistics rather accurately.
int win_rate_model(Value v, int ply) {
/// UCI::to_move() converts a string representing a move in coordinate notation
/// (g1f3, a7a8q) to the corresponding legal Move, if any.
// The fitted model only uses data for moves in [8, 120], and is anchored at move 32.
double m = std::clamp(ply / 2 + 1, 8, 120) / 32.0;
Move UCI::to_move(const Position& pos, string& str) {
// The coefficients of a third-order polynomial fit is based on the fishtest data
// for two parameters that need to transform eval to the argument of a logistic
// function.
constexpr double as[] = {-1.06249702, 7.42016937, 0.89425629, 348.60356174};
constexpr double bs[] = {-5.33122190, 39.57831533, -90.84473771, 123.40620748};
if (str.length() == 5)
str[4] = char(tolower(str[4])); // The promotion piece character must be lowercased
// Enforce that NormalizeToPawnValue corresponds to a 50% win rate at move 32.
static_assert(NormalizeToPawnValue == int(0.5 + as[0] + as[1] + as[2] + as[3]));
for (const auto& m : MoveList<LEGAL>(pos))
if (str == UCI::move(m, pos.is_chess960()))
return m;
double a = (((as[0] * m + as[1]) * m + as[2]) * m) + as[3];
double b = (((bs[0] * m + bs[1]) * m + bs[2]) * m) + bs[3];
return MOVE_NONE;
// Return the win rate in per mille units, rounded to the nearest integer.
return int(0.5 + 1000 / (1 + std::exp((a - double(v)) / b)));
}
}
} // namespace Stockfish
std::string UCI::wdl(Value v, int ply) {
std::stringstream ss;
int wdl_w = win_rate_model(v, ply);
int wdl_l = win_rate_model(-v, ply);
int wdl_d = 1000 - wdl_w - wdl_l;
ss << " wdl " << wdl_w << " " << wdl_d << " " << wdl_l;
return ss.str();
}
Move UCI::to_move(const Position& pos, std::string& str) {
if (str.length() == 5)
str[4] = char(tolower(str[4])); // The promotion piece character must be lowercased
for (const auto& m : MoveList<LEGAL>(pos))
if (str == move(m, pos.is_chess960()))
return m;
return Move::none();
}
} // namespace Stockfish
+45 -60
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -19,74 +19,59 @@
#ifndef UCI_H_INCLUDED
#define UCI_H_INCLUDED
#include <map>
#include <iostream>
#include <string>
#include <unordered_map>
#include "types.h"
#include "evaluate.h"
#include "misc.h"
#include "position.h"
#include "thread.h"
#include "tt.h"
#include "ucioption.h"
namespace Stockfish {
class Position;
namespace Eval::NNUE {
enum NetSize : int;
}
namespace UCI {
class Move;
enum Square : int;
using Value = int;
// Normalizes the internal value as reported by evaluate or search
// to the UCI centipawn result used in output. This value is derived from
// the win_rate_model() such that Stockfish outputs an advantage of
// "100 centipawns" for a position if the engine has a 50% probability to win
// from this position in selfplay at fishtest LTC time control.
const int NormalizeToPawnValue = 328;
class UCI {
public:
UCI(int argc, char** argv);
class Option;
void loop();
/// Define a custom comparator, because the UCI options should be case-insensitive
struct CaseInsensitiveLess {
bool operator() (const std::string&, const std::string&) const;
static int to_cp(Value v);
static std::string value(Value v);
static std::string square(Square s);
static std::string move(Move m, bool chess960);
static std::string wdl(Value v, int ply);
static Move to_move(const Position& pos, std::string& str);
const std::string& workingDirectory() const { return cli.workingDirectory; }
OptionsMap options;
std::unordered_map<Eval::NNUE::NetSize, Eval::EvalFile> evalFiles;
private:
TranspositionTable tt;
ThreadPool threads;
CommandLine cli;
void go(Position& pos, std::istringstream& is, StateListPtr& states);
void bench(Position& pos, std::istream& args, StateListPtr& states);
void position(Position& pos, std::istringstream& is, StateListPtr& states);
void trace_eval(Position& pos);
void search_clear();
void setoption(std::istringstream& is);
};
/// The options container is defined as a std::map
using OptionsMap = std::map<std::string, Option, CaseInsensitiveLess>;
} // namespace Stockfish
/// The Option class implements each option as specified by the UCI protocol
class Option {
using OnChange = void (*)(const Option&);
public:
Option(OnChange = nullptr);
Option(bool v, OnChange = nullptr);
Option(const char* v, OnChange = nullptr);
Option(double v, int minv, int maxv, OnChange = nullptr);
Option(const char* v, const char* cur, OnChange = nullptr);
Option& operator=(const std::string&);
void operator<<(const Option&);
operator int() const;
operator std::string() const;
bool operator==(const char*) const;
private:
friend std::ostream& operator<<(std::ostream&, const OptionsMap&);
std::string defaultValue, currentValue, type;
int min, max;
size_t idx;
OnChange on_change;
};
void init(OptionsMap&);
void loop(int argc, char* argv[]);
std::string value(Value v);
std::string square(Square s);
std::string move(Move m, bool chess960);
std::string pv(const Position& pos, Depth depth);
std::string wdl(Value v, int ply);
Move to_move(const Position& pos, std::string& str);
} // namespace UCI
extern UCI::OptionsMap Options;
} // namespace Stockfish
#endif // #ifndef UCI_H_INCLUDED
#endif // #ifndef UCI_H_INCLUDED
+116 -125
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
@@ -16,179 +16,170 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "ucioption.h"
#include <algorithm>
#include <cassert>
#include <ostream>
#include <cctype>
#include <iostream>
#include <sstream>
#include <utility>
#include "evaluate.h"
#include "misc.h"
#include "search.h"
#include "thread.h"
#include "tt.h"
#include "uci.h"
#include "syzygy/tbprobe.h"
using std::string;
namespace Stockfish {
UCI::OptionsMap Options; // Global object
bool CaseInsensitiveLess::operator()(const std::string& s1, const std::string& s2) const {
namespace UCI {
/// 'On change' actions, triggered by an option's value change
static void on_clear_hash(const Option&) { Search::clear(); }
static void on_hash_size(const Option& o) { TT.resize(size_t(o)); }
static void on_logger(const Option& o) { start_logger(o); }
static void on_threads(const Option& o) { Threads.set(size_t(o)); }
static void on_tb_path(const Option& o) { Tablebases::init(o); }
static void on_use_NNUE(const Option&) { Eval::NNUE::init(); }
static void on_eval_file(const Option&) { Eval::NNUE::init(); }
/// Our case insensitive less() function as required by UCI protocol
bool CaseInsensitiveLess::operator() (const string& s1, const string& s2) const {
return std::lexicographical_compare(s1.begin(), s1.end(), s2.begin(), s2.end(),
[](char c1, char c2) { return tolower(c1) < tolower(c2); });
return std::lexicographical_compare(
s1.begin(), s1.end(), s2.begin(), s2.end(),
[](char c1, char c2) { return std::tolower(c1) < std::tolower(c2); });
}
void OptionsMap::setoption(std::istringstream& is) {
std::string token, name, value;
/// UCI::init() initializes the UCI options to their hard-coded default values
is >> token; // Consume the "name" token
void init(OptionsMap& o) {
// Read the option name (can contain spaces)
while (is >> token && token != "value")
name += (name.empty() ? "" : " ") + token;
constexpr int MaxHashMB = Is64Bit ? 33554432 : 2048;
// Read the option value (can contain spaces)
while (is >> token)
value += (value.empty() ? "" : " ") + token;
o["Debug Log File"] << Option("", on_logger);
o["Threads"] << Option(1, 1, 1024, on_threads);
o["Hash"] << Option(16, 1, MaxHashMB, on_hash_size);
o["Clear Hash"] << Option(on_clear_hash);
o["Ponder"] << Option(false);
o["MultiPV"] << Option(1, 1, 500);
o["Skill Level"] << Option(20, 0, 20);
o["Move Overhead"] << Option(10, 0, 5000);
o["Slow Mover"] << Option(100, 10, 1000);
o["nodestime"] << Option(0, 0, 10000);
o["UCI_Chess960"] << Option(false);
o["UCI_AnalyseMode"] << Option(false);
o["UCI_LimitStrength"] << Option(false);
o["UCI_Elo"] << Option(1320, 1320, 3190);
o["UCI_ShowWDL"] << Option(false);
o["SyzygyPath"] << Option("<empty>", on_tb_path);
o["SyzygyProbeDepth"] << Option(1, 1, 100);
o["Syzygy50MoveRule"] << Option(true);
o["SyzygyProbeLimit"] << Option(7, 0, 7);
o["Use NNUE"] << Option(true, on_use_NNUE);
o["EvalFile"] << Option(EvalFileDefaultName, on_eval_file);
if (options_map.count(name))
options_map[name] = value;
else
sync_cout << "No such option: " << name << sync_endl;
}
/// operator<<() is used to print all the options default values in chronological
/// insertion order (the idx field) and in the format defined by the UCI protocol.
std::ostream& operator<<(std::ostream& os, const OptionsMap& om) {
for (size_t idx = 0; idx < om.size(); ++idx)
for (const auto& it : om)
if (it.second.idx == idx)
{
const Option& o = it.second;
os << "\noption name " << it.first << " type " << o.type;
if (o.type == "string" || o.type == "check" || o.type == "combo")
os << " default " << o.defaultValue;
if (o.type == "spin")
os << " default " << int(stof(o.defaultValue))
<< " min " << o.min
<< " max " << o.max;
break;
}
return os;
Option OptionsMap::operator[](const std::string& name) const {
auto it = options_map.find(name);
return it != options_map.end() ? it->second : Option();
}
Option& OptionsMap::operator[](const std::string& name) { return options_map[name]; }
/// Option class constructors and conversion operators
std::size_t OptionsMap::count(const std::string& name) const { return options_map.count(name); }
Option::Option(const char* v, OnChange f) : type("string"), min(0), max(0), on_change(f)
{ defaultValue = currentValue = v; }
Option::Option(const char* v, OnChange f) :
type("string"),
min(0),
max(0),
on_change(std::move(f)) {
defaultValue = currentValue = v;
}
Option::Option(bool v, OnChange f) : type("check"), min(0), max(0), on_change(f)
{ defaultValue = currentValue = (v ? "true" : "false"); }
Option::Option(bool v, OnChange f) :
type("check"),
min(0),
max(0),
on_change(std::move(f)) {
defaultValue = currentValue = (v ? "true" : "false");
}
Option::Option(OnChange f) : type("button"), min(0), max(0), on_change(f)
{}
Option::Option(OnChange f) :
type("button"),
min(0),
max(0),
on_change(std::move(f)) {}
Option::Option(double v, int minv, int maxv, OnChange f) : type("spin"), min(minv), max(maxv), on_change(f)
{ defaultValue = currentValue = std::to_string(v); }
Option::Option(double v, int minv, int maxv, OnChange f) :
type("spin"),
min(minv),
max(maxv),
on_change(std::move(f)) {
defaultValue = currentValue = std::to_string(v);
}
Option::Option(const char* v, const char* cur, OnChange f) : type("combo"), min(0), max(0), on_change(f)
{ defaultValue = v; currentValue = cur; }
Option::Option(const char* v, const char* cur, OnChange f) :
type("combo"),
min(0),
max(0),
on_change(std::move(f)) {
defaultValue = v;
currentValue = cur;
}
Option::operator int() const {
assert(type == "check" || type == "spin");
return (type == "spin" ? std::stoi(currentValue) : currentValue == "true");
assert(type == "check" || type == "spin");
return (type == "spin" ? std::stoi(currentValue) : currentValue == "true");
}
Option::operator std::string() const {
assert(type == "string");
return currentValue;
assert(type == "string");
return currentValue;
}
bool Option::operator==(const char* s) const {
assert(type == "combo");
return !CaseInsensitiveLess()(currentValue, s)
&& !CaseInsensitiveLess()(s, currentValue);
assert(type == "combo");
return !CaseInsensitiveLess()(currentValue, s) && !CaseInsensitiveLess()(s, currentValue);
}
/// operator<<() inits options and assigns idx in the correct printing order
// Inits options and assigns idx in the correct printing order
void Option::operator<<(const Option& o) {
static size_t insert_order = 0;
static size_t insert_order = 0;
*this = o;
idx = insert_order++;
*this = o;
idx = insert_order++;
}
/// operator=() updates currentValue and triggers on_change() action. It's up to
/// the GUI to check for option's limits, but we could receive the new value
/// from the user by console window, so let's check the bounds anyway.
// Updates currentValue and triggers on_change() action. It's up to
// the GUI to check for option's limits, but we could receive the new value
// from the user by console window, so let's check the bounds anyway.
Option& Option::operator=(const std::string& v) {
Option& Option::operator=(const string& v) {
assert(!type.empty());
assert(!type.empty());
if ((type != "button" && type != "string" && v.empty())
|| (type == "check" && v != "true" && v != "false")
|| (type == "spin" && (std::stof(v) < min || std::stof(v) > max)))
return *this;
if ( (type != "button" && type != "string" && v.empty())
|| (type == "check" && v != "true" && v != "false")
|| (type == "spin" && (stof(v) < min || stof(v) > max)))
return *this;
if (type == "combo")
{
OptionsMap comboMap; // To have case insensitive compare
std::string token;
std::istringstream ss(defaultValue);
while (ss >> token)
comboMap[token] << Option();
if (!comboMap.count(v) || v == "var")
return *this;
}
if (type == "combo")
{
OptionsMap comboMap; // To have case insensitive compare
string token;
std::istringstream ss(defaultValue);
while (ss >> token)
comboMap[token] << Option();
if (!comboMap.count(v) || v == "var")
return *this;
}
if (type != "button")
currentValue = v;
if (type != "button")
currentValue = v;
if (on_change)
on_change(*this);
if (on_change)
on_change(*this);
return *this;
return *this;
}
} // namespace UCI
std::ostream& operator<<(std::ostream& os, const OptionsMap& om) {
for (size_t idx = 0; idx < om.options_map.size(); ++idx)
for (const auto& it : om.options_map)
if (it.second.idx == idx)
{
const Option& o = it.second;
os << "\noption name " << it.first << " type " << o.type;
} // namespace Stockfish
if (o.type == "string" || o.type == "check" || o.type == "combo")
os << " default " << o.defaultValue;
if (o.type == "spin")
os << " default " << int(stof(o.defaultValue)) << " min " << o.min << " max "
<< o.max;
break;
}
return os;
}
}
+81
View File
@@ -0,0 +1,81 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Stockfish is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef UCIOPTION_H_INCLUDED
#define UCIOPTION_H_INCLUDED
#include <cstddef>
#include <functional>
#include <iosfwd>
#include <map>
#include <string>
namespace Stockfish {
// Define a custom comparator, because the UCI options should be case-insensitive
struct CaseInsensitiveLess {
bool operator()(const std::string&, const std::string&) const;
};
class Option;
class OptionsMap {
public:
void setoption(std::istringstream&);
friend std::ostream& operator<<(std::ostream&, const OptionsMap&);
Option operator[](const std::string&) const;
Option& operator[](const std::string&);
std::size_t count(const std::string&) const;
private:
// The options container is defined as a std::map
using OptionsStore = std::map<std::string, Option, CaseInsensitiveLess>;
OptionsStore options_map;
};
// The Option class implements each option as specified by the UCI protocol
class Option {
public:
using OnChange = std::function<void(const Option&)>;
Option(OnChange = nullptr);
Option(bool v, OnChange = nullptr);
Option(const char* v, OnChange = nullptr);
Option(double v, int minv, int maxv, OnChange = nullptr);
Option(const char* v, const char* cur, OnChange = nullptr);
Option& operator=(const std::string&);
void operator<<(const Option&);
operator int() const;
operator std::string() const;
bool operator==(const char*) const;
friend std::ostream& operator<<(std::ostream&, const OptionsMap&);
private:
std::string defaultValue, currentValue, type;
int min, max;
size_t idx;
OnChange on_change;
};
}
#endif // #ifndef UCIOPTION_H_INCLUDED
+53 -5
View File
@@ -1,5 +1,5 @@
#!/bin/bash
# check for errors under valgrind or sanitizers.
# check for errors under Valgrind or sanitizers.
error()
{
@@ -64,14 +64,32 @@ EOF
;;
esac
cat << EOF > bench_tmp.epd
Rn6/1rbq1bk1/2p2n1p/2Bp1p2/3Pp1pP/1N2P1P1/2Q1NPB1/6K1 w - - 2 26
rnbqkb1r/ppp1pp2/5n1p/3p2p1/P2PP3/5P2/1PP3PP/RNBQKBNR w KQkq - 0 3
3qnrk1/4bp1p/1p2p1pP/p2bN3/1P1P1B2/P2BQ3/5PP1/4R1K1 w - - 9 28
r4rk1/1b2ppbp/pq4pn/2pp1PB1/1p2P3/1P1P1NN1/1PP3PP/R2Q1RK1 w - - 0 13
EOF
# simple command line testing
for args in "eval" \
"go nodes 1000" \
"go depth 10" \
"go perft 4" \
"go movetime 1000" \
"go wtime 8000 btime 8000 winc 500 binc 500" \
"go wtime 1000 btime 1000 winc 0 binc 0" \
"go wtime 1000 btime 1000 winc 0 binc 0" \
"go wtime 1000 btime 1000 winc 0 binc 0 movestogo 5" \
"go movetime 200" \
"go nodes 20000 searchmoves e2e4 d2d4" \
"bench 128 $threads 8 default depth" \
"export_net verify.nnue"
"bench 128 $threads 3 bench_tmp.epd depth" \
"export_net verify.nnue" \
"d" \
"compiler" \
"license" \
"uci"
do
echo "$prefix $exeprefix ./stockfish $args $postfix"
@@ -92,6 +110,7 @@ cat << EOF > game.exp
send "uci\n"
expect "uciok"
# send "setoption name Debug Log File value debug.log\n"
send "setoption name Threads value $threads\n"
send "ucinewgame\n"
@@ -107,10 +126,32 @@ cat << EOF > game.exp
send "go depth 10\n"
expect "bestmove"
send "setoption name UCI_ShowWDL value true\n"
send "position startpos\n"
send "flip\n"
send "go depth 5\n"
expect "bestmove"
send "setoption name Skill Level value 10\n"
send "position startpos\n"
send "go depth 5\n"
expect "bestmove"
send "setoption name Clear Hash\n"
send "setoption name EvalFile value verify.nnue\n"
send "position startpos\n"
send "go depth 5\n"
expect "bestmove"
send "setoption name MultiPV value 4\n"
send "position startpos\n"
send "go depth 5\n"
send "quit\n"
expect eof
# return error code of the spawned program, useful for valgrind
# return error code of the spawned program, useful for Valgrind
lassign [wait] pid spawnid os_error_flag value
exit \$value
EOF
@@ -128,10 +169,17 @@ cat << EOF > syzygy.exp
send "setoption name SyzygyPath value ../tests/syzygy/\n"
expect "info string Found 35 tablebases" {} timeout {exit 1}
send "bench 128 1 8 default depth\n"
send "ucinewgame\n"
send "position fen 4k3/PP6/8/8/8/8/8/4K3 w - - 0 1\n"
send "go depth 5\n"
expect "bestmove"
send "position fen 8/1P6/2B5/8/4K3/8/6k1/8 w - - 0 1\n"
send "go depth 5\n"
expect "bestmove"
send "quit\n"
expect eof
# return error code of the spawned program, useful for valgrind
# return error code of the spawned program, useful for Valgrind
lassign [wait] pid spawnid os_error_flag value
exit \$value
EOF
@@ -146,6 +194,6 @@ do
done
rm -f tsan.supp
rm -f tsan.supp bench_tmp.epd
echo "instrumented testing OK"
+1 -1
View File
@@ -11,7 +11,7 @@ trap 'error ${LINENO}' ERR
# obtain
signature=`./stockfish bench 2>&1 | grep "Nodes searched : " | awk '{print $4}'`
signature=`eval "$WINE_PATH ./stockfish bench 2>&1" | grep "Nodes searched : " | awk '{print $4}'`
if [ $# -gt 0 ]; then
# compare to given reference