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Author SHA1 Message Date
Joost VandeVondele 773dff0209 Stockfish 14
Official release version of Stockfish 14

Bench: 4770936

---

Today, we have the pleasure to announce Stockfish 14.

As usual, downloads will be freely available at https://stockfishchess.org

The engine is now significantly stronger than just a few months ago,
and wins four times more game pairs than it loses against the previous
release version [0]. Stockfish 14 is now at least 400 Elo ahead of
Stockfish 7, a top engine in 2016 [1]. During the last five years,
Stockfish has thus gained about 80 Elo per year.

Stockfish 14 evaluates positions more accurately than Stockfish 13 as
a result of two major steps forward in defining and training the
efficiently updatable neural network (NNUE) that provides the evaluation
for positions.

First, the collaboration with the Leela Chess Zero team - announced
previously [2] - has come to fruition. The LCZero team has provided a
collection of billions of positions evaluated by Leela that we have
combined with billions of positions evaluated by Stockfish to train the
NNUE net that powers Stockfish 14. The fact that we could use and combine
these datasets freely was essential for the progress made and demonstrates
the power of open source and open data [3].

Second, the architecture of the NNUE network was significantly updated:
the new network is not only larger, but more importantly, it deals better
with large material imbalances and can specialize for multiple phases of
the game [4]. A new project, kick-started by Gary Linscott and
Tomasz Sobczyk, led to a GPU accelerated net trainer written in
pytorch.[5] This tool allows for training high-quality nets in a couple
of hours.

Finally, this release features some search refinements, minor bug
fixes and additional improvements. For example, Stockfish is now about
90 Elo stronger for chess960 (Fischer random chess) at short time control.

The Stockfish project builds on a thriving community of enthusiasts
(thanks everybody!) that contribute their expertise, time, and resources
to build a free and open-source chess engine that is robust, widely
available, and very strong. We invite our chess fans to join the fishtest
testing framework and programmers to contribute to the project on
github [6].

Stay safe and enjoy chess!

The Stockfish team

[0] https://tests.stockfishchess.org/tests/view/60dae5363beab81350aca077
[1] https://nextchessmove.com/dev-builds
[2] https://stockfishchess.org/blog/2021/stockfish-13/
[3] https://lczero.org/blog/2021/06/the-importance-of-open-data/
[4] https://github.com/official-stockfish/Stockfish/commit/e8d64af1
[5] https://github.com/glinscott/nnue-pytorch/
[6] https://stockfishchess.org/get-involved/
2021-07-02 14:53:30 +02:00
Brad Knox 2275923d3c Update Top CPU Contributors
closes https://github.com/official-stockfish/Stockfish/pull/3595

No functional change
2021-06-29 10:24:54 +02:00
SFisGOD 49283d3a66 Update default net to nn-3475407dc199.nnue
Optimization of eight subnetwork output layers of Michael's nn-190f102a22c3.nnue using SPSA
https://tests.stockfishchess.org/tests/view/60d5510642a522cc50282ef3

Parameters: A total of 256 net weights and 8 net biases were tuned
New best values: The raw values at the end of the tuning run were used (800k games, 5 seconds TC)
Settings: default ck value and SPSA A is 30,000 (3.75% of the total number of games)

STC:
LLR: 2.94 (-2.94,2.94) <-0.50,2.50>
Total: 29064 W: 2435 L: 2269 D: 24360
Ptnml(0-2): 72, 1857, 10505, 2029, 69
https://tests.stockfishchess.org/tests/view/60d8ea123beab81350ac9eb6

LTC:
LLR: 2.93 (-2.94,2.94) <0.50,3.50>
Total: 61848 W: 2055 L: 1884 D: 57909
Ptnml(0-2): 18, 1708, 27310, 1861, 27
https://tests.stockfishchess.org/tests/view/60d8f0393beab81350ac9ec6

closes https://github.com/official-stockfish/Stockfish/pull/3593

Bench: 4770936
2021-06-28 21:31:58 +02:00
MichaelB7 b94a651878 Make net nn-956480d8378f.nnue the default
Trained with the pytorch trainer: https://github.com/glinscott/nnue-pytorch

python train.py i:/bin/all.binpack i:/bin/all.binpack --gpus 1 --threads 4 --num-workers 30 --batch-size 16384 --progress_bar_refresh_rate 300 --smart-fen-skipping --random-fen-skipping 3 --features=HalfKAv2^ --lambda=1.0 --max_epochs=440 --seed %random%%random% --default_root_dir exp/run_18 --resume-from-model ./pt/nn-75980ca503c6.pt

This run is thus started from a previous master net.

all.binpack equaled 4 parts Wrong_NNUE_2.binpack https://drive.google.com/file/d/1seGNOqcVdvK_vPNq98j-zV3XPE5zWAeq/view?usp=sharing plus two parts of Training_Data.binpack https://drive.google.com/file/d/1RFkQES3DpsiJqsOtUshENtzPfFgUmEff/view?usp=sharing
Each set was concatenated together - making one large Wrong_NNUE 2 binpack and one large Training so the were approximately equal in size. They were then interleaved together. The idea was to give Wrong_NNUE.binpack closer to equal weighting with the Training_Data binpack

passed STC:
https://tests.stockfishchess.org/tests/view/60d0c0a7a8ec07dc34c072b2
LLR: 2.93 (-2.94,2.94) <-0.50,2.50>
Total: 18440 W: 1693 L: 1531 D: 15216
Ptnml(0-2): 67, 1225, 6464, 1407, 57

passed LTC:
https://tests.stockfishchess.org/tests/view/60d762793beab81350ac9d72
LLR: 2.98 (-2.94,2.94) <0.50,3.50>
Total: 93120 W: 3152 L: 2933 D: 87035
Ptnml(0-2): 48, 2581, 41076, 2814, 41

passed LTC (rebased branch to current master):
https://tests.stockfishchess.org/tests/view/60d85eeb3beab81350ac9e2b
LLR: 2.96 (-2.94,2.94) <0.50,3.50>
Total: 42688 W: 1347 L: 1206 D: 40135
Ptnml(0-2): 14, 1097, 18981, 1238, 14.

closes https://github.com/official-stockfish/Stockfish/pull/3592

Bench: 4906727
2021-06-28 21:20:05 +02:00
Joost VandeVondele dc4983327d Update WDL model for NNUE
This updates the WDL model based on the LTC statistics in June this year (10M games),
so from pre-NNUE to NNUE based results.

(for old results see, https://github.com/official-stockfish/Stockfish/pull/2778)

As before the fit by the model to the data is quite good.

closes https://github.com/official-stockfish/Stockfish/pull/3582

No functional change
2021-06-28 21:13:30 +02:00
bmc4 e47b74457e Simplify Reductions Initialization
passed

STC:
LLR: 2.94 (-2.94,2.94) <-2.50,0.50>
Total: 45032 W: 3600 L: 3518 D: 37914
Ptnml(0-2): 111, 2893, 16435, 2957, 120
https://tests.stockfishchess.org/tests/view/60d2655d40925195e7a6c527

LTC:
LLR: 3.00 (-2.94,2.94) <-2.50,0.50>
Total: 25728 W: 786 L: 722 D: 24220
Ptnml(0-2): 5, 650, 11494, 706, 9
https://tests.stockfishchess.org/tests/view/60d2b14240925195e7a6c577

closes https://github.com/official-stockfish/Stockfish/pull/3584

bench: 4602977
2021-06-28 21:12:04 +02:00
Stéphane Nicolet 0470bcef0e Detect fortresses a little bit quicker
In the so-called "hybrid" method of evaluation of current master, we use the
classical eval (because of its speed) instead of the NNUE eval when the classical
material balance approximation hints that the position is "winning enough" to
rely on the classical eval.

This trade-off idea between speed and accuracy works well in general, but in
some fortress positions the classical eval is just bad. So in shuffling branches
of the search tree, we (slowly) increase the thresehold so that eventually we
don't trust classical anymore and switch to NNUE evaluation.

This patch increases that threshold faster, so that we switch to NNUE quicker
in shuffling branches. Idea is to incite Stockfish to spend less time in fortresses
lines in the search tree, and spend more time searching the critical lines.

passed STC:
LLR: 2.96 (-2.94,2.94) <-0.50,2.50>
Total: 47872 W: 3908 L: 3720 D: 40244
Ptnml(0-2): 122, 3053, 17419, 3199, 143
https://tests.stockfishchess.org/tests/view/60cef34b457376eb8bcab79d

passed LTC:
LLR: 2.93 (-2.94,2.94) <0.50,3.50>
Total: 73616 W: 2326 L: 2143 D: 69147
Ptnml(0-2): 21, 1940, 32705, 2119, 23
https://tests.stockfishchess.org/tests/view/60cf6d842114332881e73528

Retested at LTC against lastest master:
LLR: 2.93 (-2.94,2.94) <0.50,3.50>
Total: 18264 W: 642 L: 532 D: 17090
Ptnml(0-2): 6, 479, 8055, 583, 9
https://tests.stockfishchess.org/tests/view/60d18cd540925195e7a6c351

closes https://github.com/official-stockfish/Stockfish/pull/3578

Bench: 5139233
2021-06-22 11:51:03 +02:00
MichaelB7 9b82414b67 Make net nn-190f102a22c3.nnue the default net.
Trained with the pytorch trainer: https://github.com/glinscott/nnue-pytorch

python train.py i:/bin/all.binpack i:/bin/all.binpack --gpus 1 --threads 4 --num-workers 30 --batch-size 16384 --progress_bar_refresh_rate 300 --smart-fen-skipping --random-fen-skipping 3 --features=HalfKAv2^ --lambda=1.0 --max_epochs=440 --seed %random%%random% --default_root_dir exp/run_17 --resume-from-model ./pt/nn-75980ca503c6.pt

This run is thus started from the previous master net.

all.binpack equaled 4 parts Wrong_NNUE_2.binpack https://drive.google.com/file/d/1seGNOqcVdvK_vPNq98j-zV3XPE5zWAeq/view?usp=sharing plus two parts of Training_Data.binpack https://drive.google.com/file/d/1RFkQES3DpsiJqsOtUshENtzPfFgUmEff/view?usp=sharing
Each set was concatenated together - making one large Wrong_NNUE 2 binpack and one large Training so the were approximately equal in size. They were then interleaved together. The idea was to give Wrong_NNUE.binpack closer to equal weighting with the Training_Data binpack

passed LTC
https://tests.stockfishchess.org/tests/view/60d09f52b4c17000d679517f
LLR: 2.93 (-2.94,2.94) <0.50,3.50>
Total: 32184 W: 1100 L: 970 D: 30114
Ptnml(0-2): 10, 878, 14193, 994, 17

passed STC
https://tests.stockfishchess.org/tests/view/60d086c02114332881e7368e
LLR: 2.93 (-2.94,2.94) <-0.50,2.50>
Total: 11360 W: 1056 L: 906 D: 9398
Ptnml(0-2): 25, 735, 4026, 853, 41

closes https://github.com/official-stockfish/Stockfish/pull/3576

Bench: 4631244
2021-06-21 23:16:55 +02:00
Joost VandeVondele 2e2865d34b Fix build error on OSX
directly use integer version for cp calculation.

fixes https://github.com/official-stockfish/Stockfish/issues/3573

closes https://github.com/official-stockfish/Stockfish/pull/3574

No functional change
2021-06-21 23:14:58 +02:00
Stéphane Nicolet ed436a36ba Remove the Contempt UCI option
This patch removes the UCI option for setting Contempt in classical evaluation.

It is exactly equivalent to using Contempt=0 for the UCI contempt value and keeping
the dynamic part in the algo (renaming this dynamic part `trend` to better describe
what it does). We have tried quite hard to implement a working Contempt feature for
NNUE but nothing really worked, so it is probably time to give up.

Interested chess fans wishing to keep playing with the UCI option for Contempt and
use it with the classical eval are urged to download the version tagged "SF_Classical"
of Stockfish (dated 31 July 2020), as it was the last version where our search
algorithm was tuned for the classical eval and is probably our strongest classical
player ever: https://github.com/official-stockfish/Stockfish/tags

Passed STC:
LLR: 2.95 (-2.94,2.94) <-2.50,0.50>
Total: 72904 W: 6228 L: 6175 D: 60501
Ptnml(0-2): 221, 5006, 25971, 5007, 247
https://tests.stockfishchess.org/tests/view/60c98bf9457376eb8bcab18d

Passed LTC:
LLR: 2.93 (-2.94,2.94) <-2.50,0.50>
Total: 45168 W: 1601 L: 1547 D: 42020
Ptnml(0-2): 38, 1331, 19786, 1397, 32
https://tests.stockfishchess.org/tests/view/60c9c7fa457376eb8bcab1bb

closes https://github.com/official-stockfish/Stockfish/pull/3575

Bench: 4947716
2021-06-21 22:58:56 +02:00
Stéphane Nicolet 70ac5ecbb6 Keep more pawns and pieces when attacking
This patch increase the weight of pawns and pieces from 28 to 32
in the scaling formula we apply to the output of the NNUE pure eval.

Increasing this gradient for pawns and pieces means that Stockfish
will try a little harder to keep material when she has the advantage,
and try a little bit harder to escape into an endgame when she is
under pressure.

STC:
LLR: 2.93 (-2.94,2.94) <-0.50,2.50>
Total: 53168 W: 4371 L: 4177 D: 44620
Ptnml(0-2): 160, 3389, 19283, 3601, 151
https://tests.stockfishchess.org/tests/view/60cefd1d457376eb8bcab7ab

LTC:
LLR: 2.94 (-2.94,2.94) <0.50,3.50>
Total: 10888 W: 386 L: 288 D: 10214
Ptnml(0-2): 3, 260, 4821, 356, 4
https://tests.stockfishchess.org/tests/view/60cf709d2114332881e7352b

closes https://github.com/official-stockfish/Stockfish/pull/3571

Bench: 4965430
2021-06-20 23:17:07 +02:00
MichaelB7 ba01f4b954 Make net nn-75980ca503c6.nnue the default.
trained with the Python command

c:\nnue>python train.py i:/bin/all.binpack i:/bin/all.binpack --gpus 1 --threads 4 --num-workers 30 --batch-size 16384 --progress_bar_refresh_rate 300 --smart-fen-skipping --random-fen-skipping 3 --features=HalfKAv2^ --lambda=1.0 --max_epochs=440 --seed %random%%random% --default_root_dir exp/run_10 --resume-from-model ./pt/nn-3b20abec10c1.pt
`
all.binpack equaled 4 parts Wrong_NNUE_2.binpack https://drive.google.com/file/d/1seGNOqcVdvK_vPNq98j-zV3XPE5zWAeq/view?usp=sharing plus two parts of Training_Data.binpack https://drive.google.com/file/d/1RFkQES3DpsiJqsOtUshENtzPfFgUmEff/view?usp=sharing
Each set was concatenated together - making one large Wrong_NNUE 2 binpack and one large Training so the were approximately equal in size. They were then interleaved together. The idea was to give Wrong_NNUE.binpack closer to equal weighting with the Training_Data binpack .

Net nn-3b20abec10c1.nnue was chosen as the --resume-from-model with the idea that through learning, the manually hex edited values will be learned and will not need to be manually adjusted going forward. They would also be fine tuned by the learning process.

passed STC:
https://tests.stockfishchess.org/tests/view/60cdf91e457376eb8bcab66f
LLR: 2.95 (-2.94,2.94) <-0.50,2.50>
Total: 18256 W: 1639 L: 1479 D: 15138
Ptnml(0-2): 59, 1179, 6505, 1313, 72

passed LTC:
https://tests.stockfishchess.org/tests/view/60ce2166457376eb8bcab6e1
LLR: 2.94 (-2.94,2.94) <0.50,3.50>
Total: 18792 W: 654 L: 542 D: 17596
Ptnml(0-2): 9, 490, 8291, 592, 14

closes https://github.com/official-stockfish/Stockfish/pull/3570

Bench: 5020972
2021-06-19 23:24:35 +02:00
Tomasz Sobczyk 2e745956c0 Change trace with NNUE eval support
This patch adds some more output to the `eval` command. It adds a board display
with estimated piece values (method is remove-piece, evaluate, put-piece), and
splits the NNUE evaluation with (psqt,layers) for each bucket for the NNUE net.

Example:

```

./stockfish
position fen 3Qb1k1/1r2ppb1/pN1n2q1/Pp1Pp1Pr/4P2p/4BP2/4B1R1/1R5K b - - 11 40
eval

 Contributing terms for the classical eval:
+------------+-------------+-------------+-------------+
|    Term    |    White    |    Black    |    Total    |
|            |   MG    EG  |   MG    EG  |   MG    EG  |
+------------+-------------+-------------+-------------+
|   Material |  ----  ---- |  ----  ---- | -0.73 -1.55 |
|  Imbalance |  ----  ---- |  ----  ---- | -0.21 -0.17 |
|      Pawns |  0.35 -0.00 |  0.19 -0.26 |  0.16  0.25 |
|    Knights |  0.04 -0.08 |  0.12 -0.01 | -0.08 -0.07 |
|    Bishops | -0.34 -0.87 | -0.17 -0.61 | -0.17 -0.26 |
|      Rooks |  0.12  0.00 |  0.08  0.00 |  0.04  0.00 |
|     Queens |  0.00  0.00 | -0.27 -0.07 |  0.27  0.07 |
|   Mobility |  0.84  1.76 |  0.01  0.66 |  0.83  1.10 |
|King safety | -0.99 -0.17 | -0.72 -0.10 | -0.27 -0.07 |
|    Threats |  0.27  0.27 |  0.73  0.86 | -0.46 -0.59 |
|     Passed |  0.00  0.00 |  0.79  0.82 | -0.79 -0.82 |
|      Space |  0.61  0.00 |  0.24  0.00 |  0.37  0.00 |
|   Winnable |  ----  ---- |  ----  ---- |  0.00 -0.03 |
+------------+-------------+-------------+-------------+
|      Total |  ----  ---- |  ----  ---- | -1.03 -2.14 |
+------------+-------------+-------------+-------------+

 NNUE derived piece values:
+-------+-------+-------+-------+-------+-------+-------+-------+
|       |       |       |   Q   |   b   |       |   k   |       |
|       |       |       | +12.4 | -1.62 |       |       |       |
+-------+-------+-------+-------+-------+-------+-------+-------+
|       |   r   |       |       |   p   |   p   |   b   |       |
|       | -3.89 |       |       | -0.84 | -1.19 | -3.32 |       |
+-------+-------+-------+-------+-------+-------+-------+-------+
|   p   |   N   |       |   n   |       |       |   q   |       |
| -1.81 | +3.71 |       | -4.82 |       |       | -5.04 |       |
+-------+-------+-------+-------+-------+-------+-------+-------+
|   P   |   p   |       |   P   |   p   |       |   P   |   r   |
| +1.16 | -0.91 |       | +0.55 | +0.12 |       | +0.50 | -4.02 |
+-------+-------+-------+-------+-------+-------+-------+-------+
|       |       |       |       |   P   |       |       |   p   |
|       |       |       |       | +2.33 |       |       | +1.17 |
+-------+-------+-------+-------+-------+-------+-------+-------+
|       |       |       |       |   B   |   P   |       |       |
|       |       |       |       | +4.79 | +1.54 |       |       |
+-------+-------+-------+-------+-------+-------+-------+-------+
|       |       |       |       |   B   |       |   R   |       |
|       |       |       |       | +4.54 |       | +6.03 |       |
+-------+-------+-------+-------+-------+-------+-------+-------+
|       |   R   |       |       |       |       |       |   K   |
|       | +4.81 |       |       |       |       |       |       |
+-------+-------+-------+-------+-------+-------+-------+-------+

 NNUE network contributions (Black to move)
+------------+------------+------------+------------+
|   Bucket   |  Material  | Positional |   Total    |
|            |   (PSQT)   |  (Layers)  |            |
+------------+------------+------------+------------+
|  0         |  +  0.32   |  -  1.46   |  -  1.13   |
|  1         |  +  0.25   |  -  0.68   |  -  0.43   |
|  2         |  +  0.46   |  -  1.72   |  -  1.25   |
|  3         |  +  0.55   |  -  1.80   |  -  1.25   |
|  4         |  +  0.48   |  -  1.77   |  -  1.29   |
|  5         |  +  0.40   |  -  2.00   |  -  1.60   |
|  6         |  +  0.57   |  -  2.12   |  -  1.54   | <-- this bucket is used
|  7         |  +  3.38   |  -  2.00   |  +  1.37   |
+------------+------------+------------+------------+

Classical evaluation   -1.00 (white side)
NNUE evaluation        +1.54 (white side)
Final evaluation       +2.38 (white side) [with scaled NNUE, hybrid, ...]

```

Also renames the export_net() function to save_eval() while there.

closes https://github.com/official-stockfish/Stockfish/pull/3562

No functional change
2021-06-19 11:57:01 +02:00
proukornew 0171b506ec Fix for Cygwin's environment build-profile (fixed)
The Cygwin environment has two g++ compilers, each with a different problem
for compiling  Stockfish at the moment:

(a) g++.exe : full posix build compiler, linked to cygwin dll.

    => This one has a problem embedding the net.

(b) x86_64-w64-mingw32-g++.exe : native Windows build compiler.

    => This one manages to embed the net, but has a problem related to libgcov
       when we use the profile-build target of Stockfish.

This patch solves the problem for compiler (b), so that our recommended command line
if you want to build an optimized version of Stockfish on Cygwin becomes something
like the following (you can change the ARCH value to whatever you want, but note
the COMP and CXX variables pointing at the right compiler):

```
   make -j profile-build ARCH=x86-64-modern COMP=mingw CXX=x86_64-w64-mingw32-c++.exe
```

closes https://github.com/official-stockfish/Stockfish/pull/3569

No functional change
2021-06-19 11:22:30 +02:00
Joost VandeVondele adfb23c029 Make net nn-50144f835024.nnue the default
trained with the Python command

c:\nnue>python train.py i:/bin/all.binpack i:/bin/all.binpack --gpus 1 --threads 4 --num-workers 30 --batch-size 16384 --progress_bar_refresh_rate 300 --smart-fen-skipping --random-fen-skipping 3 --features=HalfKAv2^ --lambda=1.0 --max_epochs=440 --seed %random%%random% --default_root_dir exp/run_8 --resume-from-model ./pt/nn-6ad41a9207d0.pt
`
all.binpack equaled 4 parts Wrong_NNUE_2.binpack https://drive.google.com/file/d/1seGNOqcVdvK_vPNq98j-zV3XPE5zWAeq/view?usp=sharing plus two parts of Training_Data.binpack https://drive.google.com/file/d/1RFkQES3DpsiJqsOtUshENtzPfFgUmEff/view?usp=sharing
Each set was concatenated together - make one large Wrong_NNUE 2 binpack and one large Training_Data of approximate size. They were then interleaved together. The idea was to give Wrong_NNUE.binpack closer to equal weighting with the Training _Data binpack .

nn-6ad41a9207d0.pt was derived from a net vondele ran which passed STC quickly,
but faltered in LTC. https://tests.stockfishchess.org/tests/view/60cba666457376eb8bcab443

STC:
LLR: 2.95 (-2.94,2.94) <-0.50,2.50>
Total: 18792 W: 2068 L: 1889 D: 14835
Ptnml(0-2): 82, 1480, 6117, 1611, 106
https://tests.stockfishchess.org/tests/view/60ccda8b457376eb8bcab568

LTC:
LLR: 2.94 (-2.94,2.94) <0.50,3.50>
Total: 11376 W: 574 L: 454 D: 10348
Ptnml(0-2): 4, 412, 4747, 510, 15
https://tests.stockfishchess.org/tests/view/60ccf952457376eb8bcab58d

closes https://github.com/official-stockfish/Stockfish/pull/3568

Bench: 4900906
2021-06-18 23:50:26 +02:00
Tomasz Sobczyk 07e6ceacd6 Add basic github workflow
move to github actions to replace travis CI.

First version, testing on linux using gcc and clang.
gcc build with sanitizers and valgrind.

No functional change
2021-06-18 22:05:56 +02:00
SFisGOD 86afb6a7cf Update default net to nn-aa9d7eeb397e.nnue
Optimization of vondele's nn-33c9d39e5eb6.nnue using SPSA
https://tests.stockfishchess.org/tests/view/60ca68be457376eb8bcab28b
Setting: ck values are default based on how large the parameters are
The new values for this net are the raw values at the end of the tuning (80k games)

The significant changes are in buckets 1 and 2 (5-12 pieces) so the main difference is in playing endgames if we compare it to nn-33c9. There is also change in bucket 7 (29-32 pieces) but not as substantial as the changes in buckets 1 and 2. If we interpret the changes based on an experiment a few months ago, this new net plays more optimistically during endgames and less optimistically during openings.

STC:
LLR: 2.93 (-2.94,2.94) <-0.50,2.50>
Total: 49504 W: 4246 L: 4053 D: 41205
Ptnml(0-2): 140, 3282, 17749, 3407, 174
https://tests.stockfishchess.org/tests/view/60cbd752457376eb8bcab478

LTC:
LLR: 2.95 (-2.94,2.94) <0.50,3.50>
Total: 88720 W: 4926 L: 4651 D: 79143
Ptnml(0-2): 105, 4048, 35793, 4295, 119
https://tests.stockfishchess.org/tests/view/60cc7828457376eb8bcab4fa

closes https://github.com/official-stockfish/Stockfish/pull/3566

Bench: 4758885
2021-06-18 21:29:14 +02:00
ap 14b673d90f New default net nn-3b20abec10c1.nnue
This net was created by @pleomati, who manually edited with an hex editor
10 values randomly chosen in the LCSFNet10 net (nn-6ad41a9207d0.nnue) to
create this one. The LCSFNet10 net was trained by Joost VandeVondele from
a dataset combining Stockfish games and Leela games (16x10^9 positions from
SF self-play at depth 9, and 6.3x10^9 positions from Leela games, so overall
72% of Stockfish positions and 28% of Leela positions).

passed STC 10+0.1:
LLR: 2.94 (-2.94,2.94) <-0.50,2.50>
Total: 50888 W: 5881 L: 5654 D: 39353
Ptnml(0-2): 281, 4290, 16085, 4497, 291
https://tests.stockfishchess.org/tests/view/60cbfa68457376eb8bcab49a

passed LTC 60+0.6:
LLR: 2.94 (-2.94,2.94) <0.50,3.50>
Total: 25480 W: 1498 L: 1338 D: 22644
Ptnml(0-2): 36, 1155, 10193, 1325, 31
https://tests.stockfishchess.org/tests/view/60cc4af8457376eb8bcab4d4

closes https://github.com/official-stockfish/Stockfish/pull/3564

Bench: 4904930
2021-06-18 20:00:13 +02:00
Stéphane Nicolet 07c8448034 Revert "Fix for Cygwin's environment build-profile"
This reverts commit "Fix for Cygwin's environment build-profile", as it was
giving errors for "make clean" on some Windows environments. See comments in
https://github.com/official-stockfish/Stockfish/commit/68bf362ea2385a641be9f5ed9ce2acdf55a1ecf1

Possibly somebody can propose a solution that would fix Cygwin builds and
not break on other system too, stay tuned! :-)

No functional change
2021-06-17 18:10:01 +02:00
bmc4 55e69dc88d Simplify reduction when best move doesn't change frequently.
STC:
LLR: 2.94 (-2.94,2.94) <-2.50,0.50>
Total: 40400 W: 3468 L: 3377 D: 33555
Ptnml(0-2): 134, 2734, 14388, 2795, 149
https://tests.stockfishchess.org/tests/view/60c93e5a457376eb8bcab15f

LTC:
LLR: 2.94 (-2.94,2.94) <-2.50,0.50>
Total: 34200 W: 1190 L: 1128 D: 31882
Ptnml(0-2): 22, 998, 15001, 1054, 25
https://tests.stockfishchess.org/tests/view/60c96a1a457376eb8bcab180

closes https://github.com/official-stockfish/Stockfish/pull/3559

bench: 5629669
2021-06-17 02:08:33 +02:00
proukornew 68bf362ea2 Fix for Cygwin's environment build-profile
The Cygwin environment has two g++ compilers, each with a different problem
for compiling  Stockfish at the moment:

(a) g++.exe : full posix build compiler, linked to cygwin dll.

    => This one has a problem embedding the net.

(b) x86_64-w64-mingw32-g++.exe : native Windows build compiler.

    => This one manages to embed the net, but has a problem related to libgcov
       when we use the profile-build target of Stockfish.

This patch solves the problem for compiler (b), so that our recommended command line
if you want to build an optimized version of Stockfish on Cygwin becomes something
like the following (you can change the ARCH value to whatever you want, but note
the COMP and CXX variables pointing at the right compiler):

```
   make -j profile-build ARCH=x86-64-modern COMP=mingw CXX=x86_64-w64-mingw32-c++.exe
```

closes https://github.com/official-stockfish/Stockfish/pull/3463

No functional change
2021-06-17 01:14:20 +02:00
Joost VandeVondele 8ec9e10866 New default net nn-33c9d39e5eb6.nnue
As the previous net, this net is trained on Leela games as provided by borg.
See also https://lczero.org/blog/2021/06/the-importance-of-open-data/

The particular data set, which is a mix of T60 and T74 data, is now available as a single binpack:
https://drive.google.com/file/d/1RFkQES3DpsiJqsOtUshENtzPfFgUmEff/view?usp=sharing

The training command was:
python train.py ../../training_data_pylon.binpack ../../training_data_pylon.binpack --gpus 1 --threads 2 --num-workers 2 --batch-size 16384 --progress_bar_refresh_rate 300 --smart-fen-skipping --random-fen-skipping 10 --features=HalfKAv2^   --lambda=1.0  --max_epochs=440 --seed $RANDOM --default_root_dir exp/run_2

passed STC:
https://tests.stockfishchess.org/tests/view/60c887cb457376eb8bcab054
LLR: 2.94 (-2.94,2.94) <-0.50,2.50>
Total: 12792 W: 1483 L: 1311 D: 9998
Ptnml(0-2): 62, 989, 4131, 1143, 71

passed LTC:
https://tests.stockfishchess.org/tests/view/60c8e5c4457376eb8bcab0f0
LLR: 2.95 (-2.94,2.94) <0.50,3.50>
Total: 11272 W: 601 L: 477 D: 10194
Ptnml(0-2): 9, 421, 4657, 535, 14

also had strong LTC performance against another strong net of the series:
https://tests.stockfishchess.org/tests/view/60c8c40d457376eb8bcab0c6

closes https://github.com/official-stockfish/Stockfish/pull/3557

Bench: 5032320
2021-06-15 22:08:40 +02:00
J. Oster 4c4e104cad Fix a rare case of wrong TB ranking
of a root move leading to a 3-fold repetition.
With this small fix a draw ranking and thus a draw score is being applied.
This works for both, ranking by dtz or wdl tables.

Fixes https://github.com/official-stockfish/Stockfish/issues/3542

(No functional change without TBs.)
Bench: 4877339
2021-06-14 17:28:30 +02:00
Tomasz Sobczyk 900f249f59 Reduce the number of accumulator states
Reduce from 3 to 2. Make the intent of the states clearer.

STC: https://tests.stockfishchess.org/tests/view/60c50111457376eb8bcaad03
LLR: 2.95 (-2.94,2.94) <-2.50,0.50>
Total: 61888 W: 5007 L: 4944 D: 51937
Ptnml(0-2): 164, 3947, 22649, 4030, 154

LTC: https://tests.stockfishchess.org/tests/view/60c52b1c457376eb8bcaad2c
LLR: 2.94 (-2.94,2.94) <-2.50,0.50>
Total: 20248 W: 688 L: 618 D: 18942
Ptnml(0-2): 7, 551, 8946, 605, 15

closes https://github.com/official-stockfish/Stockfish/pull/3548

No functional change.
2021-06-14 11:22:08 +02:00
JWmer f8c779dbe5 Update default net to nn-8e47cf062333.nnue
This net is the result of training on data used by the Leela project. More precisely,
we shuffled T60 and T74 data kindly provided by borg (for different Tnn, the data is
a result of Leela selfplay with differently sized Leela nets).

The data is available at vondele's google drive:
https://drive.google.com/drive/folders/1mftuzYdl9o6tBaceR3d_VBQIrgKJsFpl.

The Leela data comes in small chunks of .binpack files. To shuffle them, we simply
used a small python script to randomly rename the files, and then concatenated them
using `cat`. As validation data we picked a file of T60 data. We will further investigate
T74 data.

The training for the NNUE architecture used 200 epochs with the Python trainer from
the Stockfish project. Unlike the previous run we tried with this data, this run does
not have adjusted scaling — not because we didn't want to, but because we forgot.
However, this training randomly skips 40% more positions than previous run. The loss
was very spiky and decreased slower than it does usually.

Training loss: https://github.com/official-stockfish/images/blob/main/training-loss-8e47cf062333.png
Validation loss: https://github.com/official-stockfish/images/blob/main/validation-loss-8e47cf062333.png

This is the exact training command:
python train.py --smart-fen-skipping --random-fen-skipping 14 --batch-size 16384 --threads 4 --num-workers 4 --gpus 1 trainingdata\training_data.binpack validationdata\val.binpack

---

10k STC result:
ELO: 3.61 +-3.3 (95%) LOS: 98.4%
Total: 10000 W: 1241 L: 1137 D: 7622
Ptnml(0-2): 68, 841, 3086, 929, 76
https://tests.stockfishchess.org/tests/view/60c67e50457376eb8bcaae70

10k LTC result:
ELO: 2.71 +-2.4 (95%) LOS: 98.8%
Total: 10000 W: 659 L: 581 D: 8760
Ptnml(0-2): 22, 485, 3900, 579, 14
https://tests.stockfishchess.org/tests/view/60c69deb457376eb8bcaae98

Passed LTC:
LLR: 2.93 (-2.94,2.94) <0.50,3.50>
Total: 9648 W: 685 L: 545 D: 8418
Ptnml(0-2): 22, 448, 3740, 596, 18
https://tests.stockfishchess.org/tests/view/60c6d41c457376eb8bcaaecf

---

closes https://github.com/official-stockfish/Stockfish/pull/3550

Bench: 4877339
2021-06-14 09:24:07 +02:00
Tomasz Sobczyk ce4c523ad3 Register count for feature transformer
Compute optimal register count for feature transformer accumulation dynamically.
This also introduces a change where AVX512 would only use 8 registers instead of 16
(now possible due to a 2x increase in feature transformer size).

closes https://github.com/official-stockfish/Stockfish/pull/3543

No functional change
2021-06-13 13:10:56 +02:00
Vizvezdenec e1f181ee64 Do less LMR extensions
This patch restricts LMR extensions (of non-transposition table moves) from being
used when the transposition table move was extended by two plies via singular
extension. This may serve to limit search explosions in certain positions.

This makes a lot of sense because the precondition for the tt-move to have been
singular extended by two plies is that the result of the alternate search (with
excluded the tt-move) has been a hard fail low: it is natural to later search less
for non tt-moves in this situation.

The current state of depth/extensions/reductions management is getting quite tricky
in our search algo, see https://github.com/official-stockfish/Stockfish/pull/3546#issuecomment-860174549
for some discussion. Suggestions welcome!

Passed STC
https://tests.stockfishchess.org/tests/view/60c3f293457376eb8bcaac8d
LLR: 2.95 (-2.94,2.94) <-0.50,2.50>
Total: 117984 W: 9698 L: 9430 D: 98856
Ptnml(0-2): 315, 7708, 42703, 7926, 340

passed LTC
https://tests.stockfishchess.org/tests/view/60c46ea5457376eb8bcaacc7
LLR: 2.97 (-2.94,2.94) <0.50,3.50>
Total: 11280 W: 401 L: 302 D: 10577
Ptnml(0-2): 2, 271, 4998, 364, 5

closes https://github.com/official-stockfish/Stockfish/pull/3546

Bench: 4709974
2021-06-13 12:00:20 +02:00
Stéphane Nicolet 7819412002 Clarify use of UCI options
Update README.md to clarify use of UCI options

closes https://github.com/official-stockfish/Stockfish/pull/3540

No functional change
2021-06-13 10:02:43 +02:00
Tomasz Sobczyk b84fa04db6 Read NNUE net faster
Load feature transformer weights in bulk on little-endian machines.
This is in particular useful to test new nets with c-chess-cli,
see https://github.com/lucasart/c-chess-cli/issues/44

```
$ time ./stockfish.exe uci

Before : 0m0.914s
After  : 0m0.483s
```

No functional change
2021-06-13 09:39:03 +02:00
Joost VandeVondele 559942d64d Limit double extensions
Double extensions can lead to search explosions, for specific positions.
Currently, however, these double extensions are worth about 10Elo and cannot
be removed. This patch instead limits the number of double extensions given
to a maximum of 3.

This fixes https://github.com/official-stockfish/Stockfish/issues/3532
where the following testcase was shown to be problematic:

```
uci
setoption name Hash value 4
setoption name Contempt value 0
ucinewgame
position fen 8/Pk6/8/1p6/8/P1K5/8/6B1 w - - 37 130
go depth 20
```

passed STC:
https://tests.stockfishchess.org/tests/view/60c13161457376eb8bcaaa0f
LLR: 2.95 (-2.94,2.94) <-2.50,0.50>
Total: 73256 W: 6114 L: 6062 D: 61080
Ptnml(0-2): 222, 4912, 26306, 4968, 220

passed LTC:
https://tests.stockfishchess.org/tests/view/60c196fb457376eb8bcaaa6b
LLR: 2.94 (-2.94,2.94) <-2.50,0.50>
Total: 166440 W: 5559 L: 5594 D: 155287
Ptnml(0-2): 106, 4921, 73197, 4894, 102

closes https://github.com/official-stockfish/Stockfish/pull/3544

Bench: 5067605
2021-06-11 20:33:24 +02:00
bmc4 785b708097 Simplify promotion move generator
This patch removes Knight promotion checks from Captures. As a consequence,
it also removes this underpromotion from qsearch.

STC:
LLR: 2.93 (-2.94,2.94) <-2.50,0.50>
Total: 37776 W: 3113 L: 3023 D: 31640
Ptnml(0-2): 103, 2419, 13755, 2507, 104
https://tests.stockfishchess.org/tests/view/60be6a06457376eb8bcaa775

LTC:
LLR: 2.93 (-2.94,2.94) <-2.50,0.50>
Total: 39760 W: 1257 L: 1203 D: 37300
Ptnml(0-2): 11, 1079, 17646, 1133, 11
https://tests.stockfishchess.org/tests/view/60beb972457376eb8bcaa7c5

closes https://github.com/official-stockfish/Stockfish/pull/3536

Bench: 5530620
2021-06-08 20:16:20 +02:00
bmc4 999e142c54 Reduce in LMR reduction on PvNode
reduce reduction in LMR by 1 on PvNode.

STC:
LLR: 2.93 (-2.94,2.94) <-0.50,2.50>
Total: 266080 W: 22438 L: 21996 D: 221646
Ptnml(0-2): 774, 17874, 95376, 18168, 848
https://tests.stockfishchess.org/tests/view/60bc0661457376eb8bcaa4bb

LTC:
LLR: 2.93 (-2.94,2.94) <0.50,3.50>
Total: 20144 W: 698 L: 587 D: 18859
Ptnml(0-2): 2, 529, 8906, 626, 9
https://tests.stockfishchess.org/tests/view/60bcc3f2457376eb8bcaa58d

closes https://github.com/official-stockfish/Stockfish/pull/3534

bench: 5173012
2021-06-06 21:22:39 +02:00
Guy Vreuls 3802cdf9b6 Makefile: Extend sanitize support
Enable compiling with multiple sanitizers at once.

Syntax:
make build ARCH=x86-64-avx512 debug=on sanitize="address undefined"

closes https://github.com/official-stockfish/Stockfish/pull/3524

No functional change.
2021-06-05 11:38:28 +02:00
Joost VandeVondele 98cbaa6c6b Enhance CI to error on leaks
Add flags to valgrind in our Continuous Integration scripts,
to error on memory leaks.

closes https://github.com/official-stockfish/Stockfish/pull/3525

No functional change.
2021-06-05 10:55:57 +02:00
Guy Vreuls 58307562b6 Revert "Simplify En Passant"
This reverts commit 9f8058bd26.

Fixes the memory leak discussed in pull request #3523
https://github.com/official-stockfish/Stockfish/pull/3523

Passed non-regression STC:
LLR: 2.95 (-2.94,2.94) <-2.50,0.50>
Total: 76184 W: 6330 L: 6282 D: 63572
Ptnml(0-2): 202, 5047, 27564, 5059, 220
https://tests.stockfishchess.org/tests/view/60ba146c457376eb8bcaa2e2

closes https://github.com/official-stockfish/Stockfish/pull/3527

Benched to verify there is no functional change.

Bench: 4364128
2021-06-05 10:47:46 +02:00
Stéphane Nicolet 8f081c86f7 Clean SIMD code a bit
Cleaner vector code structure in feature transformer. This patch just
regroups the parts of the inner loop for each SIMD instruction set.

Tested for non-regression:
LLR: 2.96 (-2.94,2.94) <-2.50,0.50>
Total: 115760 W: 9835 L: 9831 D: 96094
Ptnml(0-2): 326, 7776, 41715, 7694, 369
https://tests.stockfishchess.org/tests/view/60b96b39457376eb8bcaa26e

It would be nice if a future patch could use some of the macros at
the top of the file to unify the code between the distincts SIMD
instruction sets (of course, unifying the Relu will be the challenge).

closes https://github.com/official-stockfish/Stockfish/pull/3506

No functional change
2021-06-04 14:07:46 +02:00
Stéphane Nicolet 4445965f97 Makefile: better "make clean" for Windows
Make clean should be really clean on Windows.

Fixes issue https://github.com/official-stockfish/Stockfish/issues/3291
Closes https://github.com/official-stockfish/Stockfish/pull/3517

No functional change
2021-06-04 01:32:11 +02:00
bmc4 0b7cc8bd2f Introducing NodeType Root
We transform rootNode into constexpr by adding a new NodeType `Root`,
which causes a speed up.

Local test:
```
Build Tester: 1.4.7.0
Windows 10 (Version 10.0, Build 0, 64-bit Edition)
Intel(R) Core(TM) i7-8750H CPU @ 2.20GHz
SafeMode: No
Running In VM: No
HyperThreading Enabled: Yes
CPU Warmup: Yes
Command Line: bench
Tests per Build: 25
ANOVA: n/a

                Engine# (NPS)                     Speedup     Sp     Conf. 95%    S.S.
patch  (920.179,4) ---> master  (906.329,2)  --->  1,528%  20.336,5     Yes        No
```

---------

STC:
LLR: 2.94 (-2.94,2.94) <-0.50,2.50>
Total: 98216 W: 8348 L: 8102 D: 81766
Ptnml(0-2): 295, 6357, 35549, 6621, 286
https://tests.stockfishchess.org/tests/view/60b797e2457376eb8bcaa0ab

Yellow LTC:
LLR: -2.95 (-2.94,2.94) <0.50,3.50>
Total: 76936 W: 2651 L: 2626 D: 71659
Ptnml(0-2): 29, 2233, 33916, 2264, 26
https://tests.stockfishchess.org/tests/view/60b80d6d457376eb8bcaa145

closes https://github.com/official-stockfish/Stockfish/pull/3522

No functional change
2021-06-04 01:23:49 +02:00
xoto10 9353e72103 Make extra time for bestMoveInstability dependent on rootdepth.
This change allocates more base time to moves and makes the additional time added for best move instability dependent on rootdepth.

STC 10+0.1 :
LLR: 2.94 (-2.94,2.94) <-0.50,2.50>
Total: 19432 W: 1711 L: 1553 D: 16168
Ptnml(0-2): 47, 1250, 6989, 1358, 72
https://tests.stockfishchess.org/tests/view/60b8cd41457376eb8bcaa1ad

LTC 60+0.6 :
LLR: 2.93 (-2.94,2.94) <0.50,3.50>
Total: 22480 W: 810 L: 693 D: 20977
Ptnml(0-2): 9, 603, 9902, 714, 12
https://tests.stockfishchess.org/tests/view/60b8e5bf457376eb8bcaa1e6

closes https://github.com/official-stockfish/Stockfish/pull/3526

Bench 4364128
2021-06-03 21:22:56 +02:00
Joost VandeVondele d53071eff4 Update default net to nn-7e66505906a6.nnue
Trained with pytorch using the master branch and recommended settings,
the data used is the previous 64B binpack enhanced with a 2B binpack
generated using an opening book of positions for with the static eval
is significantly different from d9 search.

book           : https://drive.google.com/file/d/1rHcKY5rv34kwku6g89OhnE8Bkfq3UWau/view?usp=sharing
book generation: https://github.com/vondele/Stockfish/commit/3ce43ab0c4ce09c1fc5bca5ca27a248e67fddd24
binpack        : https://drive.google.com/file/d/1rHcKY5rv34kwku6g89OhnE8Bkfq3UWau/view?usp=sharing

-------

Data generation command:

generate_training_data depth 9 count 31250000 random_multi_pv 2 random_multi_pv_diff 100 random_move_max_ply 8 random_move_count 3 set_recommended_uci_options eval_limit 32000 output_file_name output.binpack book wrongNNUE.epd seed ${RANDOM}${RANDOM}

Training command:

python train.py ../../all_d9_fishd9_d8_d10_wrong_shuffle.binpack ../../all_d9_fishd9_d8_d10_wrong_shuffle.binpack  --gpus 1 --threads 2 --num-workers 2 --batch-size 16384 --progress_bar_refresh_rate 300 --smart-fen-skipping --random-fen-skipping 3 --features=HalfKAv2^   --lambda=1.0  --max_epochs=400 --seed $RANDOM --default_root_dir exp/run_5

-------

passed STC:
https://tests.stockfishchess.org/tests/view/60b7c79a457376eb8bcaa104
LLR: 2.94 (-2.94,2.94) <-0.50,2.50>
Total: 64592 W: 6254 L: 6028 D: 52310
Ptnml(0-2): 255, 4785, 22020, 4951, 285

passed LTC:
https://tests.stockfishchess.org/tests/view/60b85307457376eb8bcaa182
LLR: 2.96 (-2.94,2.94) <0.50,3.50>
Total: 45560 W: 1998 L: 1826 D: 41736
Ptnml(0-2): 36, 1604, 19335, 1762, 43

closes https://github.com/official-stockfish/Stockfish/pull/3521

Bench: 4364128
2021-06-03 16:25:44 +02:00
Stéphane Nicolet 4ada291429 Typography change for bench 2021-06-02 08:37:00 +02:00
Stefan Geschwentner 95f73ff393 Remove formerPV variable.
STC:
LLR: 2.94 (-2.94,2.94) <-2.50,0.50>
Total: 75672 W: 6546 L: 6496 D: 62630
Ptnml(0-2): 238, 5274, 26761, 5326, 237
https://tests.stockfishchess.org/tests/view/60b349c0ec0c03148cbed055

LTC:
LLR: 2.98 (-2.94,2.94) <-2.50,0.50>
Total: 137816 W: 4676 L: 4689 D: 128451
Ptnml(0-2): 52, 4237, 60354, 4202, 63
https://tests.stockfishchess.org/tests/view/60b38970ec0c03148cbed075

closes https://github.com/official-stockfish/Stockfish/pull/3515

Bench: 4892288
2021-06-01 23:21:00 +02:00
J. Oster 9fd5b44d60 Pre-initialize ss->ply
We pre-initialize ss->ply over the whole stack. There is no need
to re-assign the same value(s) over and over again while searching.
Probably a tiny speedup on longer searches.

Tested for no regression:

STC
LLR: 2.93 (-2.94,2.94) <-2.50,0.50>
Total: 25784 W: 2205 L: 2101 D: 21478
Ptnml(0-2): 62, 1660, 9368, 1716, 86
https://tests.stockfishchess.org/tests/view/60b516c6457376eb8bca9dfa

LTC
LLR: 2.94 (-2.94,2.94) <-2.50,0.50>
Total: 26200 W: 944 L: 878 D: 24378
Ptnml(0-2): 12, 732, 11545, 800, 11
https://tests.stockfishchess.org/tests/view/60b53652457376eb8bca9e0e

closes https://github.com/official-stockfish/Stockfish/pull/3516

No functional change.
2021-06-01 21:25:28 +02:00
candirufish e8418bb1b9 Check Extension with Static Evaluation
extension for checking moves, at higher depth and more decisive positions.

stc:
LLR: 2.97 (-2.94,2.94) <-0.50,2.50>
Total: 87008 W: 7337 L: 7100 D: 72571
Ptnml(0-2): 264, 5737, 31270, 5964, 269
https://tests.stockfishchess.org/tests/view/60b1034787a1a67ae56c47b6

ltc:
LLR: 2.94 (-2.94,2.94) <0.50,3.50>
Total: 79320 W: 2629 L: 2432 D: 74259
Ptnml(0-2): 29, 2205, 35000, 2392, 34
https://tests.stockfishchess.org/tests/view/60b1ae0b87a1a67ae56c487c

closes https://github.com/official-stockfish/Stockfish/pull/3514

Bench: 4447112
2021-05-31 18:31:32 +02:00
Tomasz Sobczyk 5448cad29e Fix export of the feature transformer.
PSQT export was missing.

fixes #3507

closes https://github.com/official-stockfish/Stockfish/pull/3508

No functional change
2021-05-30 21:31:58 +02:00
Joost VandeVondele 4c02998325 Simplify NNUE / classical evaluation selection
for the new network architecture these rules can be simplified,
closer to the original PSQT difference based again.

passed STC
LLR: 2.94 (-2.94,2.94) <-2.50,0.50>
Total: 22656 W: 1979 L: 1868 D: 18809
Ptnml(0-2): 70, 1496, 8087, 1603, 72
https://tests.stockfishchess.org/tests/view/60b24579db3c4776cb89d122

passed LTC
LLR: 2.93 (-2.94,2.94) <-2.50,0.50>
Total: 30224 W: 1015 L: 953 D: 28256
Ptnml(0-2): 4, 860, 13330, 906, 12
https://tests.stockfishchess.org/tests/view/60b27613db3c4776cb89d145

closes https://github.com/official-stockfish/Stockfish/pull/3511

Bench: 3937626
2021-05-30 21:30:15 +02:00
VoyagerOne 6174a37a37 Remove Stat Reset at beta cutoff
STC:
LLR: 2.93 (-2.94,2.94) <-2.50,0.50>
Total: 63936 W: 5350 L: 5288 D: 53298
Ptnml(0-2): 184, 4295, 22954, 4345, 190
https://tests.stockfishchess.org/tests/view/60affb4c12066fd299795c64

LTC:
LLR: 2.96 (-2.94,2.94) <-2.50,0.50>
Total: 35856 W: 1201 L: 1142 D: 33513
Ptnml(0-2): 7, 1031, 15795, 1086, 9
https://tests.stockfishchess.org/tests/view/60b0537812066fd299795cc6

closes https://github.com/official-stockfish/Stockfish/pull/3505

bench: 3831936
2021-05-28 20:16:11 +02:00
Stéphane Nicolet f193778446 Do not use lazy evaluation inside NNUE
This simplification patch implements two changes:

1. it simplifies away the so-called "lazy" path in the NNUE evaluation internals,
   where we trusted the psqt head alone to avoid the costly "positional" head in
   some cases;
2. it raises a little bit the NNUEThreshold1 in evaluate.cpp (from 682 to 800),
   which increases the limit where we switched from NNUE eval to Classical eval.

Both effects increase the number of positional evaluations done by our new net
architecture, but the results of our tests below seem to indicate that the loss
of speed will be compensated by the gain of eval quality.

STC:
LLR: 2.95 (-2.94,2.94) <-2.50,0.50>
Total: 26280 W: 2244 L: 2137 D: 21899
Ptnml(0-2): 72, 1755, 9405, 1810, 98
https://tests.stockfishchess.org/tests/view/60ae73f112066fd299795a51

LTC:
LLR: 2.95 (-2.94,2.94) <-2.50,0.50>
Total: 20592 W: 750 L: 677 D: 19165
Ptnml(0-2): 9, 614, 8980, 681, 12
https://tests.stockfishchess.org/tests/view/60ae88e812066fd299795a82

closes https://github.com/official-stockfish/Stockfish/pull/3503

Bench: 3817907
2021-05-27 01:21:56 +02:00
Stefan Geschwentner 1b325bf86d Less reduction for capture/promotions.
Exclude captures/promotions at expected cut nodes (which also not a
former PV node) from LMR if a response to the first previous
opponent move.

STC:
LLR: 2.93 (-2.94,2.94) <-0.50,2.50>
Total: 288656 W: 24886 L: 24413 D: 239357
Ptnml(0-2): 900, 19738, 102578, 20213, 899
https://tests.stockfishchess.org/tests/view/60ad505112066fd29979595b

LTC:
LLR: 2.97 (-2.94,2.94) <0.50,3.50>
Total: 31344 W: 1107 L: 975 D: 29262
Ptnml(0-2): 12, 879, 13757, 1013, 11
https://tests.stockfishchess.org/tests/view/60adffce12066fd2997959d2

closes https://github.com/official-stockfish/Stockfish/pull/3500

Bench: 3827710
2021-05-26 17:32:54 +02:00
IIvec 83e0af288a Simplify the thread term for reduction formula
Dependance on Threads.size() was removed Search::init() for the Reductions[] initialization.

STC:
LLR: 2.94 (-2.94,2.94) <-2.50,0.50>
Total: 17376 W: 1024 L: 929 D: 15423
Ptnml(0-2): 24, 781, 6989, 864, 30
https://tests.stockfishchess.org/tests/view/60ac110812066fd2997957dc

LTC:
LLR: 2.95 (-2.94,2.94) <-2.50,0.50>
Total: 145552 W: 3656 L: 3673 D: 138223
Ptnml(0-2): 37, 3351, 66014, 3340, 34
https://tests.stockfishchess.org/tests/view/60ac267412066fd299795825

closes https://github.com/official-stockfish/Stockfish/pull/3502

Bench 3864295
2021-05-26 17:25:05 +02:00
Tomasz Sobczyk 9d53129075 Expose the lazy threshold for the feature transformer PSQT as a parameter.
Definition of the lazy threshold moved to evaluate.cpp where all others are.
Lazy threshold only used for real searches, not used for the "eval" call.
This preserves the purity of NNUE evaluation, which is useful to verify
consistency between the engine and the NNUE trainer.

closes https://github.com/official-stockfish/Stockfish/pull/3499

No functional change
2021-05-25 21:40:51 +02:00
bmc4 e044068b43 Increased reduction for captures in LMR
It now does, in LMR, an increased on reduction by 1 for captures in cut nodes.

STC:
LLR: 2.93 (-2.94,2.94) <-0.50,2.50>
Total: 30656 W: 2565 L: 2397 D: 25694
Ptnml(0-2): 63, 2012, 11029, 2142, 82
https://tests.stockfishchess.org/tests/view/60a96733ce8ea25a3ef04178

LTC:
LLR: 2.93 (-2.94,2.94) <0.50,3.50>
Total: 124840 W: 4139 L: 3878 D: 116823
Ptnml(0-2): 48, 3480, 55100, 3747, 45
https://tests.stockfishchess.org/tests/view/60a995f5ce8ea25a3ef041b7

closes https://github.com/official-stockfish/Stockfish/pull/3494

bench: 3864295
2021-05-24 15:52:22 +02:00
Stéphane Nicolet a2f01c07eb Sometimes change the (materialist, positional) balance
Our new nets output two values for the side to move in the last layer.
We can interpret the first value as a material evaluation of the
position, and the second one as the dynamic, positional value of the
location of pieces.

This patch changes the balance for the (materialist, positional) parts
of the score from (128, 128) to (121, 135) when the piece material is
equal between the two players, but keeps the standard (128, 128) balance
when one player is at least an exchange up.

Passed STC:
LLR: 2.93 (-2.94,2.94) <-0.50,2.50>
Total: 15936 W: 1421 L: 1266 D: 13249
Ptnml(0-2): 37, 1037, 5694, 1134, 66
https://tests.stockfishchess.org/tests/view/60a82df9ce8ea25a3ef0408f

Passed LTC:
LLR: 2.94 (-2.94,2.94) <0.50,3.50>
Total: 13904 W: 516 L: 410 D: 12978
Ptnml(0-2): 4, 374, 6088, 484, 2
https://tests.stockfishchess.org/tests/view/60a8bbf9ce8ea25a3ef04101

closes https://github.com/official-stockfish/Stockfish/pull/3492

Bench: 3856635
2021-05-22 21:09:22 +02:00
bmc4 ff4c22238a Tuning Search
This patch tunes constant in search.cpp

STC:
LLR: 2.94 (-2.94,2.94) <-0.50,2.50>
Total: 30648 W: 2580 L: 2410 D: 25658
Ptnml(0-2): 80, 1969, 11093, 2065, 117
https://tests.stockfishchess.org/tests/view/60a71d3cce8ea25a3ef03fae

LTC:
LLR: 2.95 (-2.94,2.94) <0.50,3.50>
Total: 52896 W: 1776 L: 1617 D: 49503
Ptnml(0-2): 13, 1462, 23347, 1605, 21
https://tests.stockfishchess.org/tests/view/60a794ddce8ea25a3ef0400a

closes https://github.com/official-stockfish/Stockfish/pull/3491

Bench: 4004731
2021-05-22 19:23:15 +02:00
bmc4 49c79aa15c Simplify reduction for consecutive fails
Revert the heuristic introduced in #3184, by which we reduced more
the late sons of the root position after consecutive fail highs.

---
Before new net architecture:

STC:
LLR: 2.95 (-2.94,2.94) <-2.50,0.50>
Total: 226336 W: 20373 L: 20500 D: 185463
Ptnml(0-2): 755, 16087, 79595, 15992, 739
https://tests.stockfishchess.org/tests/view/609dec205085663412d08e9d

LTC:
LLR: 2.93 (-2.94,2.94) <-2.50,0.50>
Total: 67432 W: 2411 L: 2375 D: 62646
Ptnml(0-2): 33, 1944, 29714, 2004, 21
https://tests.stockfishchess.org/tests/view/609ee30f5085663412d08fc3

---
After new net architecture:

STC:
LLR: 2.95 (-2.94,2.94) <-2.50,0.50>
Total: 141752 W: 11591 L: 11617 D: 118544
Ptnml(0-2): 387, 9231, 51674, 9189, 395
https://tests.stockfishchess.org/tests/view/60a4320ace8ea25a3ef03cfd

LTC:
LLR: 2.95 (-2.94,2.94) <-2.50,0.50>
Total: 294072 W: 9825 L: 9950 D: 274297
Ptnml(0-2): 121, 8610, 129681, 8521, 103
https://tests.stockfishchess.org/tests/view/60a51b5ece8ea25a3ef03dcd
---

closes https://github.com/official-stockfish/Stockfish/pull/3490

Bench: 3752892
2021-05-22 19:02:36 +02:00
Joost VandeVondele fb2d175f97 Update default net to nn-7756374aaed3.nnue
trained with pytorch using the master branch and recommended settings,
same data set as previously used:

python train.py ../../all_d9_fishd9_d8_d10_shuffle.binpack ../../all_d9_fishd9_d8_d10_shuffle.binpack \
        --gpus 1 --threads 2 --num-workers 2 --batch-size 16384 --progress_bar_refresh_rate 300 \
        --smart-fen-skipping --random-fen-skipping 3 --features=HalfKAv2^   --lambda=1.0 \
        --max_epochs=400 --seed $RANDOM --default_root_dir exp/run_8

passed STC:
LLR: 2.93 (-2.94,2.94) <-0.50,2.50>
Total: 21424 W: 2078 L: 1907 D: 17439
Ptnml(0-2): 80, 1512, 7385, 1627, 108
https://tests.stockfishchess.org/tests/view/60a6c749ce8ea25a3ef03f4d

passed LTC:
LLR: 2.94 (-2.94,2.94) <0.50,3.50>
Total: 67912 W: 2851 L: 2648 D: 62413
Ptnml(0-2): 40, 2348, 28984, 2537, 47
https://tests.stockfishchess.org/tests/view/60a722ecce8ea25a3ef03fb9

closes https://github.com/official-stockfish/Stockfish/pull/3489

Bench: 3779522
2021-05-22 07:35:39 +02:00
Guy Vreuls f233ca1af4 Compact position structures
Reorder the structures data members in position.h to reduce padding.

Passed STC:
https://tests.stockfishchess.org/tests/view/60a8011fce8ea25a3ef04069
LLR: 2.94 (-2.94,2.94) <-0.50,2.50>
Total: 14120 W: 1214 L: 1067 D: 11839
Ptnml(0-2): 26, 857, 5161, 976, 40

---

Also tested for speed locally by Joost:

Result of  50 runs
==================
base (./stockfish.master       ) =    2254919  +/- 4439
test (./stockfish.patch        ) =    2274003  +/- 5278
diff                             =     +19084  +/- 6386
==================
speedup        = +0.0085
P(speedup > 0) =  1.0000

---

closes https://github.com/official-stockfish/Stockfish/pull/3488

No functional change.
2021-05-22 00:26:00 +02:00
Stéphane Nicolet 754fc8a8b5 Remove Tempo
The Tempo variable was introduced 10 years ago in our search because the
classical evaluation function was antisymmetrical in White and Black by design
to gain speed:

    Eval(White to play) = -Eval(Black to play)

Nowadays our neural networks know which side is to play in a position when
they evaluate a position and are trained on real games, so the neural network
encodes the advantage of moving as an output of search. This patch shows that
the Tempo variable is not necessary anymore.

STC:
LLR: 2.94 (-2.94,2.94) <-2.50,0.50>
Total: 33512 W: 2805 L: 2709 D: 27998
Ptnml(0-2): 80, 2209, 12095, 2279, 93
https://tests.stockfishchess.org/tests/view/60a44ceace8ea25a3ef03d30

LTC:
LLR: 2.95 (-2.94,2.94) <-2.50,0.50>
Total: 53920 W: 1807 L: 1760 D: 50353
Ptnml(0-2): 16, 1617, 23650, 1658, 19
https://tests.stockfishchess.org/tests/view/60a477f0ce8ea25a3ef03d49

We also tried a match (20000 games) at STC using purely classical, result was neutral:
https://tests.stockfishchess.org/tests/view/60a4eebcce8ea25a3ef03db5

Note: there are two locations left in search.cpp where we assume antisymmetry
of evaluation (in relation with a speed optimization for null moves in lines
770 and 1439), but as the values are just used for heuristic pruning this
approximation should not hurt too much because the order of magnitude is still
true most of the time.

closes https://github.com/official-stockfish/Stockfish/pull/3481

Bench: 4015864
2021-05-19 20:34:37 +02:00
Vizvezdenec 2c3f7619f9 Simplify usage of LMR for captures
This patch simplifies a lot of "enablers" for LMR when move is a capture or promotion.
After it we will have only 2 conditions - if node is a cutNode
or if it's an allNode that was not in PV,
so all captures or promotions wouldn't go thru LMR at any PVnodes.

passed STC
https://tests.stockfishchess.org/tests/view/60a40117ce8ea25a3ef03ca7
LLR: 2.95 (-2.94,2.94) <-2.50,0.50>
Total: 58976 W: 4875 L: 4807 D: 49294
Ptnml(0-2): 176, 3897, 21270, 3973, 172

passed LTC
https://tests.stockfishchess.org/tests/view/60a43ff8ce8ea25a3ef03d18
LLR: 2.93 (-2.94,2.94) <-2.50,0.50>
Total: 65272 W: 2203 L: 2165 D: 60904
Ptnml(0-2): 28, 1936, 28668, 1978, 26

closes https://github.com/official-stockfish/Stockfish/pull/3480

bench 4110764
2021-05-19 20:08:51 +02:00
Prokop Randáček 6b9a70ace8 Use if instead of goto
This PR inverts the if and removes goto in the generate_all function.

closes https://github.com/official-stockfish/Stockfish/pull/3461

No functional change
2021-05-19 19:38:44 +02:00
Fanael Linithien 038487f954 Use packed 32-bit MMX operations for updating the PSQT accumulator
This improves the speed of NNUE by a bit on old hardware that code path
is intended for, like a Pentium III 1.13 GHz:

10 repeats of "./stockfish bench 16 1 13 default depth NNUE":

Before:
54 642 504 897 cycles (± 0.12%)
62 301 937 829 instructions (± 0.03%)

After:
54 320 821 928 cycles (± 0.13%)
62 084 742 699 instructions (± 0.02%)

Speed of go depth 20 from startpos:

Before: 53103 nps
After: 53856 nps

closes https://github.com/official-stockfish/Stockfish/pull/3476

No functional change.
2021-05-19 19:34:44 +02:00
Yohaan Seth Nathan 0faf81d1f6 Use Markdown syntax in the readme
provide direct links to the mentioned files.

closes https://github.com/official-stockfish/Stockfish/pull/3477

No Functional Change
2021-05-19 19:34:44 +02:00
Vizvezdenec d37de3cb1d Do more continuation history based pruning
This patch increases lmrDepth threshold for continuation history based pruning in search.
This part of code for a long time was known to be really TC sensitive - decreasing
this threshold easily passed lower time controls but failed badly at LTC,
on the other hand it increase was part of a tuning that resulted
in being negative at STC but was +12 elo at 180+1.8.

After recent simplification of special conditions that sometimes
increase it from 4 to 5 it was logical to overall test at longer
time controls if 5 is better than 4 with deeper searches.

reduces strenght on STC
https://tests.stockfishchess.org/tests/view/60a3a8bbce8ea25a3ef03c74
ELO: -2.57 +-2.0 (95%) LOS: 0.6%
Total: 20000 W: 1820 L: 1968 D: 16212
Ptnml(0-2): 68, 1582, 6836, 1458, 56

Passed LTC with STC bounds
https://tests.stockfishchess.org/tests/view/60a027395085663412d090ce
LLR: 2.93 (-2.94,2.94) <-0.50,2.50>
Total: 175256 W: 6774 L: 6548 D: 161934
Ptnml(0-2): 91, 5808, 75604, 6034, 91

Passed VLTC with LTC bounds
https://tests.stockfishchess.org/tests/view/60a2bccce229097940a037a7
LLR: 2.96 (-2.94,2.94) <0.50,3.50>
Total: 65736 W: 1224 L: 1092 D: 63420
Ptnml(0-2): 5, 1012, 30706, 1136, 9

closes https://github.com/official-stockfish/Stockfish/pull/3473

bench 3689330
2021-05-19 19:34:37 +02:00
Tomasz Sobczyk e8d64af123 New NNUE architecture and net
Introduces a new NNUE network architecture and associated network parameters,
as obtained by a new pytorch trainer.

The network is already very strong at short TC, without regression at longer TC,
and has potential for further improvements.

https://tests.stockfishchess.org/tests/view/60a159c65085663412d0921d
TC: 10s+0.1s, 1 thread
ELO: 21.74 +-3.4 (95%) LOS: 100.0%
Total: 10000 W: 1559 L: 934 D: 7507
Ptnml(0-2): 38, 701, 2972, 1176, 113

https://tests.stockfishchess.org/tests/view/60a187005085663412d0925b
TC: 60s+0.6s, 1 thread
ELO: 5.85 +-1.7 (95%) LOS: 100.0%
Total: 20000 W: 1381 L: 1044 D: 17575
Ptnml(0-2): 27, 885, 7864, 1172, 52

https://tests.stockfishchess.org/tests/view/60a2beede229097940a03806
TC: 20s+0.2s, 8 threads
LLR: 2.93 (-2.94,2.94) <0.50,3.50>
Total: 34272 W: 1610 L: 1452 D: 31210
Ptnml(0-2): 30, 1285, 14350, 1439, 32

https://tests.stockfishchess.org/tests/view/60a2d687e229097940a03c72
TC: 60s+0.6s, 8 threads
LLR: 2.94 (-2.94,2.94) <-2.50,0.50>
Total: 45544 W: 1262 L: 1214 D: 43068
Ptnml(0-2): 12, 1129, 20442, 1177, 12

The network has been trained (by vondele) using the https://github.com/glinscott/nnue-pytorch/ trainer (started by glinscott),
specifically the branch https://github.com/Sopel97/nnue-pytorch/tree/experiment_56.
The data used are in 64 billion positions (193GB total) generated and scored with the current master net
d8: https://drive.google.com/file/d/1hOOYSDKgOOp38ZmD0N4DV82TOLHzjUiF/view?usp=sharing
d9: https://drive.google.com/file/d/1VlhnHL8f-20AXhGkILujnNXHwy9T-MQw/view?usp=sharing
d10: https://drive.google.com/file/d/1ZC5upzBYMmMj1gMYCkt6rCxQG0GnO3Kk/view?usp=sharing
fishtest_d9: https://drive.google.com/file/d/1GQHt0oNgKaHazwJFTRbXhlCN3FbUedFq/view?usp=sharing

This network also contains a few architectural changes with respect to the current master:

    Size changed from 256x2-32-32-1 to 512x2-16-32-1
        ~15-20% slower
        ~2x larger
        adds a special path for 16 valued ClippedReLU
        fixes affine transform code for 16 inputs/outputs, buy using InputDimensions instead of PaddedInputDimensions
            this is safe now because the inputs are processed in groups of 4 in the current affine transform code
    The feature set changed from HalfKP to HalfKAv2
        Includes information about the kings like HalfKA
        Packs king features better, resulting in 8% size reduction compared to HalfKA
    The board is flipped for the black's perspective, instead of rotated like in the current master
    PSQT values for each feature
        the feature transformer now outputs a part that is fowarded directly to the output and allows learning piece values more directly than the previous network architecture. The effect is visible for high imbalance positions, where the current master network outputs evaluations skewed towards zero.
        8 PSQT values per feature, chosen based on (popcount(pos.pieces()) - 1) / 4
        initialized to classical material values on the start of the training
    8 subnetworks (512x2->16->32->1), chosen based on (popcount(pos.pieces()) - 1) / 4
        only one subnetwork is evaluated for any position, no or marginal speed loss

A diagram of the network is available: https://user-images.githubusercontent.com/8037982/118656988-553a1700-b7eb-11eb-82ef-56a11cbebbf2.png
A more complete description: https://github.com/glinscott/nnue-pytorch/blob/master/docs/nnue.md

closes https://github.com/official-stockfish/Stockfish/pull/3474

Bench: 3806488
2021-05-18 18:06:23 +02:00
Stéphane Nicolet f90274d8ce Small clean-ups
- Comment for Countemove pruning -> Continuation history
- Fix comment in input_slice.h
- Shorter lines in Makefile
- Comment for scale factor
- Fix comment for pinners in see_ge()
- Change Thread.id() signature to size_t
- Trailing space in reprosearch.sh
- Add Douglas Matos Gomes to the AUTHORS file
- Introduce comment for undo_null_move()
- Use Stockfish coding style for export_net()
- Change date in AUTHORS file

closes https://github.com/official-stockfish/Stockfish/pull/3416

No functional change
2021-05-17 10:47:14 +02:00
Vizvezdenec 61e1c66b7c Simplification for countermoves based pruning
Simplify away two extra conditions in countermoves based pruning.
These conditions (both of them) were introduced quite a long time ago
via speculative LTCs and seem to no longer bring any benefit.

passed STC
https://tests.stockfishchess.org/tests/view/609e81f35085663412d08f31
LLR: 2.96 (-2.94,2.94) <-2.50,0.50>
Total: 28488 W: 2487 L: 2382 D: 23619
Ptnml(0-2): 87, 1919, 10123, 2032, 83

passed LTC
https://tests.stockfishchess.org/tests/view/609e9c085085663412d08f59
LLR: 2.95 (-2.94,2.94) <-2.50,0.50>
Total: 33176 W: 1219 L: 1155 D: 30802
Ptnml(0-2): 13, 1036, 14423, 1106, 10

closes https://github.com/official-stockfish/Stockfish/pull/3468

Bench: 4749514
2021-05-15 10:29:39 +02:00
bmc4 c82f6f56a6 Simplify LMR rules for statScore
We simplify two parts of LMR which seem not to bring strength anymore.

---

Individual Tests:
https://tests.stockfishchess.org/tests/view/609d1cc15085663412d0856a
https://tests.stockfishchess.org/tests/view/609cb0cc7746e3dc74ffae8d
https://tests.stockfishchess.org/tests/view/609d1c9f5085663412d08568

---

LTC:
LLR: 2.97 (-2.94,2.94) <-2.50,0.50>
Total: 84184 W: 3093 L: 3066 D: 78025
Ptnml(0-2): 47, 2755, 36458, 2788, 44
https://tests.stockfishchess.org/tests/view/609d84615085663412d08e2f

---

While at it, we also update the Elo estimate of the previous rule in LMR, see:
https://tests.stockfishchess.org/tests/view/609a933c3a33eb67a844f7ca
https://tests.stockfishchess.org/tests/view/609a959c3a33eb67a844f7d5
https://tests.stockfishchess.org/tests/view/609afff73a33eb67a844f870

---

closes https://github.com/official-stockfish/Stockfish/pull/3464

Bench: 4156523
2021-05-15 10:16:01 +02:00
bmc4 24b8b3098b Remove early return in Probcut code
We simplify away early return in ProbCut, as it seems not to bring any strength anymore.

STC:
LLR: 2.93 (-2.94,2.94) <-2.50,0.50>
Total: 42632 W: 3705 L: 3617 D: 35310
Ptnml(0-2): 123, 2947, 15110, 2991, 145
https://tests.stockfishchess.org/tests/view/609c49da7746e3dc74ffae02

LTC:
LLR: 2.96 (-2.94,2.94) <-2.50,0.50>
Total: 35384 W: 1314 L: 1251 D: 32819
Ptnml(0-2): 11, 1130, 15355, 1177, 19
https://tests.stockfishchess.org/tests/view/609c71467746e3dc74ffae47

---

While at it, we also update the Elo estimate of ProbCut
(see https://tests.stockfishchess.org/tests/view/609bfb597746e3dc74ffabe3).

closes https://github.com/official-stockfish/Stockfish/pull/3462

bench: 3764662
2021-05-15 10:07:40 +02:00
Unai Corzo bd756ee45c Remove BoolConditions from tuning code
Remove BoolConditions from tuning code, as the feature does not work
and the code has not be touched in years.

No functional change
2021-05-15 09:40:40 +02:00
bmc4 594e2ac999 Simplify LMR rule for non-checking captures
We simplify away the complicated rule in LMR for "non-checking captures
likely to be bad", as it seems not to bring any strength anymore.

STC:
LLR: 2.94 (-2.94,2.94) <-2.50,0.50>
Total: 55256 W: 4972 L: 4897 D: 45387
Ptnml(0-2): 177, 3976, 19234, 4077, 164
https://tests.stockfishchess.org/tests/view/609adf3b3a33eb67a844f842

LTC:
LLR: 2.95 (-2.94,2.94) <-2.50,0.50>
Total: 10344 W: 437 L: 353 D: 9554
Ptnml(0-2): 1, 322, 4449, 392, 8
https://tests.stockfishchess.org/tests/view/609b3dfa3a33eb67a844f88e

--

While at it, we also update the Elo estimate of the previous rule in LMR
(see https://tests.stockfishchess.org/tests/view/609af2a63a33eb67a844f867).

closes https://github.com/official-stockfish/Stockfish/pull/3460

Bench: 3840688
2021-05-12 17:13:52 +02:00
EntityFX b62af7ac1e E2K: added support for MCST Elbrus 2000 CPU architecture
e2k (Elbrus 2000) - this is a VLIW/EPIC architecture,
the like Intel Itanium (IA-64) architecture.
The architecture has half native / half software support
for most Intel/AMD SIMD (e.g. MMX/SSE/SSE2/SSE3/SSSE3/SSE4.1/SSE4.2/AES/AVX/AVX2 & 3DNow!/SSE4a/XOP/FMA4) via intrinsics.

https://en.wikipedia.org/wiki/Elbrus_2000

closes https://github.com/official-stockfish/Stockfish/pull/3425

No functional change
2021-05-11 19:45:14 +02:00
bmc4 a0e2debe3f Remove coordination between searching threads
In summary, this revert #2204, as it seems not to bring any strength anymore, so it's no long needed.

STC (5+0.05 @ 8 threads):
LLR: 2.96 (-2.94,2.94) <-2.50,0.50>
Total: 105728 W: 6406 L: 6393 D: 92929
Ptnml(0-2): 154, 5479, 41599, 5464, 168
https://tests.stockfishchess.org/tests/view/6096994095e7f1852abd3154

LTC (20+0.2 @ 8 threads):
LLR: 2.96 (-2.94,2.94) <-2.50,0.50>
Total: 26336 W: 774 L: 712 D: 24850
Ptnml(0-2): 9, 641, 11810, 695, 13
https://tests.stockfishchess.org/tests/view/6097c62995e7f1852abd31e8

closes https://github.com/official-stockfish/Stockfish/pull/3459

No functional change.
2021-05-11 19:41:44 +02:00
bmc4 602687801b Simplify LMR
as it seems not to bring any strength and thus is no longer needed.

Tests for updating elo estimates:
https://tests.stockfishchess.org/tests/view/6099ff123a33eb67a844f789
https://tests.stockfishchess.org/tests/view/60953e6695e7f1852abd305b

Individual simplification tests:
https://tests.stockfishchess.org/tests/view/6098cfc73a33eb67a844f6a1
https://tests.stockfishchess.org/tests/view/6095539495e7f1852abd308b

LTC:
LLR: 2.93 (-2.94,2.94) <-2.50,0.50>
Total: 96984 W: 3624 L: 3608 D: 89752
Ptnml(0-2): 45, 3222, 41939, 3244, 42
https://tests.stockfishchess.org/tests/view/6099921a3a33eb67a844f74f

closes https://github.com/official-stockfish/Stockfish/pull/3458

bench: 3836428
2021-05-11 19:37:39 +02:00
Tomasz Sobczyk 58054fd0fa Exporting the currently loaded network file
This PR adds an ability to export any currently loaded network.
The export_net command now takes an optional filename parameter.
If the loaded net is not the embedded net the filename parameter is required.

Two changes were required to support this:

* the "architecture" string, which is really just a some kind of description in the net, is now saved into netDescription on load and correctly saved on export.
* the AffineTransform scrambles weights for some architectures and sparsifies them, such that retrieving the index is hard. This is solved by having a temporary scrambled<->unscrambled index lookup table when loading the network, and the actual index is saved for each individual weight that makes it to canSaturate16. This increases the size of the canSaturate16 entries by 6 bytes.

closes https://github.com/official-stockfish/Stockfish/pull/3456

No functional change
2021-05-11 19:36:11 +02:00
Vizvezdenec d777ea79ff Cleanup of likelyFailLow logic
This patch broadens and simplifies definition of PvNode that is likely to fail low.
New definition can be described as following "If node was already researched
at depth >= current depth and failed low there" which is more logical than the
previous version and takes less space + allows to not recompute it every time during move loop.

Passed simplification STC
https://tests.stockfishchess.org/tests/view/609148bf95e7f1852abd2e82
LLR: 2.93 (-2.94,2.94) <-2.50,0.50>
Total: 20128 W: 1865 L: 1751 D: 16512
Ptnml(0-2): 63, 1334, 7165, 1430, 72

Passed simplification LTC
https://tests.stockfishchess.org/tests/view/6091691295e7f1852abd2e8b
LLR: 2.94 (-2.94,2.94) <-2.50,0.50>
Total: 95128 W: 3498 L: 3481 D: 88149
Ptnml(0-2): 41, 2956, 41549, 2981, 37

closes https://github.com/official-stockfish/Stockfish/pull/3455

Bench: 3933037
2021-05-07 09:47:17 +02:00
Tomasz Sobczyk ca250e969c Add an UCI level command "export_net".
This command writes the embedded net to the file `EvalFileDefaultName`.
If there is no embedded net the command does nothing.

fixes #3453

closes https://github.com/official-stockfish/Stockfish/pull/3454

No functional change
2021-05-07 09:45:08 +02:00
Unai Corzo b1c8840f10 Simplify check extension
Simplify check extension, as it seems not to bring any strength and thus is no longer needed.

STC https://tests.stockfishchess.org/tests/view/608c18e995e7f1852abd2b81
LLR: 2.94 (-2.94,2.94) <-2.50,0.50>
Total: 54544 W: 4891 L: 4815 D: 44838
Ptnml(0-2): 186, 3889, 19081, 3895, 221

LTC https://tests.stockfishchess.org/tests/view/608c6ab195e7f1852abd2bc6
LLR: 2.95 (-2.94,2.94) <-2.50,0.50>
Total: 51008 W: 1845 L: 1794 D: 47369
Ptnml(0-2): 31, 1591, 22206, 1648, 28

closes https://github.com/official-stockfish/Stockfish/pull/3452

bench: 3993071
2021-05-02 17:48:57 +02:00
Joost VandeVondele 33fadb5118 Add some more information on the UCI protocol
Improve README.md: provide a link to the protocol,
and document some non-standard options.

fixes https://github.com/official-stockfish/Stockfish/issues/3446

closes https://github.com/official-stockfish/Stockfish/pull/3450

No functional change
2021-05-02 17:43:02 +02:00
xoto10 6ad4f485d3 Change tempo with time and threads
Introduce variable tempo for nnue depending on logarithm of estimated
strength, where strength is the product of time and number of threads.

The original idea here was that NNUE is best with a slightly different
tempo value to classical, since its style of play is slightly different.
It turns out that the best tempo for NNUE varies with strength of play,
so a formula is used which gives about 19 for STC and 24 for LTC under
current fishtest settings.

STC 10+0.1:
LLR: 2.94 (-2.94,2.94) {-0.20,1.10}
Total: 120816 W: 11155 L: 10861 D: 98800
Ptnml(0-2): 406, 8728, 41933, 8848, 493
https://tests.stockfishchess.org/tests/view/60735b3a8141753378960534

LTC 60+0.6:
LLR: 2.94 (-2.94,2.94) {0.20,0.90}
Total: 35688 W: 1392 L: 1234 D: 33062
Ptnml(0-2): 23, 1079, 15473, 1255, 14
https://tests.stockfishchess.org/tests/view/6073ffbc814175337896057f

Passed non-regression SMP test at LTC 20+0.2 (8 threads):
LLR: 2.95 (-2.94,2.94) {-0.70,0.20}
Total: 11008 W: 317 L: 267 D: 10424
Ptnml(0-2): 2, 245, 4962, 291, 4
https://tests.stockfishchess.org/tests/view/60749ea881417533789605a4

closes https://github.com/official-stockfish/Stockfish/pull/3426

Bench 4075325
2021-04-28 13:58:46 +02:00
bmc4 84b42b3ab3 Simplify pawn moves generator
This patch simplifies QUIET_CHECKS pawn move generator by merging discovery check
move generator with direct check move generator. It also simplifies emptySquares
instantiation. In addition, I added a comment in generate_moves() to clarify Check
branches.

STC:
LLR: 2.95 (-2.94,2.94) <-2.50,0.50>
Total: 112648 W: 9952 L: 9945 D: 92751
Ptnml(0-2): 369, 7682, 40195, 7729, 349
https://tests.stockfishchess.org/tests/view/6088226895e7f1852abd2978

LTC:
LLR: 2.93 (-2.94,2.94) <-2.50,0.50>
Total: 74656 W: 2797 L: 2765 D: 69094
Ptnml(0-2): 38, 2328, 32554, 2380, 28
https://tests.stockfishchess.org/tests/view/60884e5095e7f1852abd2994

closes https://github.com/official-stockfish/Stockfish/pull/3447

No functional change
2021-04-28 13:38:28 +02:00
lonfom169 33a858eaa1 More extensions if SE search is very low.
More extensions for non-PV nodes if value from singular extension search is significantly below singularBeta.

Passed STC:
LLR: 2.97 (-2.94,2.94) <-0.50,2.50>
Total: 25064 W: 2334 L: 2162 D: 20568
Ptnml(0-2): 82, 1720, 8768, 1868, 94
https://tests.stockfishchess.org/tests/view/6084ba7995e7f1852abd27e3

Passed LTC:
LLR: 2.94 (-2.94,2.94) <0.50,3.50>
Total: 67136 W: 2644 L: 2450 D: 62042
Ptnml(0-2): 46, 2134, 28990, 2376, 22
https://tests.stockfishchess.org/tests/view/6084d79195e7f1852abd27ee

closes https://github.com/official-stockfish/Stockfish/pull/3445

Bench: 4075325
2021-04-25 13:26:22 +02:00
Stefan Geschwentner c0ff241464 Thread based reduction tweak.
For PV nodes at the first two plies no reductions are done for each fourth thread.

STC (8 threads):
LLR: 2.94 (-2.94,2.94) <-0.50,2.50>
Total: 53992 W: 3334 L: 3167 D: 47491
Ptnml(0-2): 64, 2713, 21285, 2860, 74
https://tests.stockfishchess.org/tests/view/6083b2d695e7f1852abd277a

LTC (8 threads):
LLR: 2.93 (-2.94,2.94) <0.50,3.50>
Total: 64888 W: 1888 L: 1725 D: 61275
Ptnml(0-2): 14, 1556, 29146, 1709, 19
https://tests.stockfishchess.org/tests/view/6084249595e7f1852abd2795

closes https://github.com/official-stockfish/Stockfish/pull/3443

No functional change (for one thread)
2021-04-25 13:21:57 +02:00
Tomasz Sobczyk b748b46714 Cleanup and simplify NNUE code.
A lot of optimizations happend since the NNUE was introduced
and since then some parts of the code were left unused. This
got to the point where asserts were have to be made just to
let people know that modifying something will not have any
effects or may even break everything due to the assumptions
being made. Removing these parts removes those inexisting
"false dependencies". Additionally:

 * append_changed_indices now takes the king pos and stateinfo
   explicitly, no more misleading pos parameter
 * IndexList is removed in favor of a generic ValueList.
   Feature transformer just instantiates the type it needs.
 * The update cost and refresh requirement is deferred to the
   feature set once again, but now doesn't go through the whole
   FeatureSet machinery and just calls HalfKP directly.
 * accumulator no longer has a singular dimension.
 * The PS constants and the PieceSquareIndex array are made local
   to the HalfKP feature set because they are specific to it and
   DO differ for other feature sets.
 * A few names are changed to more descriptive

Passed STC non-regression:
https://tests.stockfishchess.org/tests/view/608421dd95e7f1852abd2790
LLR: 2.95 (-2.94,2.94) <-2.50,0.50>
Total: 180008 W: 16186 L: 16258 D: 147564
Ptnml(0-2): 587, 12593, 63725, 12503, 596

closes https://github.com/official-stockfish/Stockfish/pull/3441

No functional change
2021-04-25 13:16:30 +02:00
bmc4 32d781769d Merge all move generators
Merging `generate<EVASIONS>` and `generate<QUIET_CHECKS>` into `generate_all()`.

verified to yield correct perft results, even though bench changes due to different order of generated moves.

No regresion playing games:

passed STC:
LLR: 2.94 (-2.94,2.94) {-1.00,0.20}
Total: 161800 W: 14585 L: 14624 D: 132591
Ptnml(0-2): 577, 11681, 56451, 11586, 605
https://tests.stockfishchess.org/tests/view/606532732b2df919fd5f026d

passed LTC:
LLR: 2.98 (-2.94,2.94) {-0.70,0.20}
Total: 188504 W: 6906 L: 6961 D: 174637
Ptnml(0-2): 87, 6272, 81610, 6175, 108
https://tests.stockfishchess.org/tests/view/6065b0772b2df919fd5f02ae

closes https://github.com/official-stockfish/Stockfish/pull/3418

Bench: 4536129
2021-04-24 12:55:33 +02:00
Tomasz Sobczyk fbbd4adc3c Unify naming convention of the NNUE code
matches the rest of the stockfish code base

closes https://github.com/official-stockfish/Stockfish/pull/3437

No functional change
2021-04-24 12:49:29 +02:00
dsmsgms a7ab92ec25 Use classical eval for Bishop vs Pawns
NNUE evaluation is incapable of recognizing trivially drawn bishop endgames
(the wrong-colored rook pawn), which are in fact ubiquitous and stock standard
in chess analysis. Switching off NNUE evaluation in KBPs vs KPs endgames is
a measure that stops Stockfish from trading down to a drawn version of these
endings when we presumably have advantage. The patch is able to edge over master
in endgame positions.

Patch tested for Elo gain with the "endgame.epd" book, and verified for
non-regression with our usual book (see the pull request for details).

STC:
LLR: 2.93 (-2.94,2.94) {-0.20,1.10}
Total: 33232 W: 6655 L: 6497 D: 20080
Ptnml(0-2): 4, 2342, 11769, 2494, 7
https://tests.stockfishchess.org/tests/view/6074a52981417533789605b8

LTC:
LLR: 2.93 (-2.94,2.94) {0.20,0.90}
Total: 159056 W: 29799 L: 29378 D: 99879
Ptnml(0-2): 7, 9004, 61085, 9425, 7
https://tests.stockfishchess.org/tests/view/6074c39a81417533789605ca

Closes https://github.com/official-stockfish/Stockfish/pull/3427

Bench: 4503918

blah
2021-04-15 12:45:39 +02:00
Tomasz Sobczyk 255514fb29 Documentation patch: AppendChangedIndices
Clarify the assumptions on the position passed to the AppendChangedIndices().

Closes https://github.com/official-stockfish/Stockfish/pull/3428

No functional change
2021-04-15 12:21:30 +02:00
Vizvezdenec 14d162d9f4 Simplification: last capture extension
The code for last capture extension can be removed in current master.

Passed STC
LLR: 2.95 (-2.94,2.94) {-1.00,0.20}
Total: 85024 W: 7754 L: 7707 D: 69563
Ptnml(0-2): 293, 5991, 29914, 6004, 310
https://tests.stockfishchess.org/tests/view/607690f1814175337896068f

Passed LTC
LLR: 2.96 (-2.94,2.94) {-0.70,0.20}
Total: 39880 W: 1503 L: 1453 D: 36924
Ptnml(0-2): 17, 1281, 17293, 1333, 16
https://tests.stockfishchess.org/tests/view/6076ccbe814175337896069e

Closes https://github.com/official-stockfish/Stockfish/pull/3430

Bench: 4202264
2021-04-15 11:41:30 +02:00
Stéphane Nicolet 4889cf22bb Revert previous patch
Revert the previous patch about move generation, as it unexpectedly
changed the bench. Better to take the time to understand the issue.

Bench: 4191632
2021-04-15 11:19:44 +02:00
bmc4 79bb28281c Merge all move generators
Merging `generate<EVASIONS>` and `generate<QUIET_CHECKS>` into `generate_all()`.

STC:
LLR: 2.94 (-2.94,2.94) {-1.00,0.20}
Total: 161800 W: 14585 L: 14624 D: 132591
Ptnml(0-2): 577, 11681, 56451, 11586, 605
https://tests.stockfishchess.org/tests/view/606532732b2df919fd5f026d

LTC:
LLR: 2.98 (-2.94,2.94) {-0.70,0.20}
Total: 188504 W: 6906 L: 6961 D: 174637
Ptnml(0-2): 87, 6272, 81610, 6175, 108
https://tests.stockfishchess.org/tests/view/6065b0772b2df919fd5f02ae

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

Verified for correctness of `EVASIONS` by running perft:
```
./stockfish b3nch 16 1 6 default perft          (replace 3 by e in b3nch)
Nodes searched  : 71608931810
```

Also tested for correctness on Chess960 with a similar code shown here:
https://github.com/official-stockfish/Stockfish/pull/3418#issuecomment-816630295

```
./stockfish b3nch 16 1 6 fischer.txt perft
Nodes searched  : 506736009395
```

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

Closes https://github.com/official-stockfish/Stockfish/pull/3418

No functional change
2021-04-15 10:53:51 +02:00
Vizvezdenec 3dfda1b28e Replace distanceFromPv with a better logic
This patch removes the recently introduced distanceFromPv logic, and replaces
it with following logic: if reduction of moves with low movecount is really
negative, we search them deeper than the first move.

passed STC:
LLR: 2.95 (-2.94,2.94) {-0.20,1.10}
Total: 153008 W: 13913 L: 13579 D: 125516
Ptnml(0-2): 547, 10811, 53470, 11113, 563
https://tests.stockfishchess.org/tests/view/6069c9d02b2df919fd5f04d2

passed LTC:
LLR: 2.94 (-2.94,2.94) {0.20,0.90}
Total: 101920 W: 3964 L: 3699 D: 94257
Ptnml(0-2): 55, 3279, 44019, 3560, 47
https://tests.stockfishchess.org/tests/view/606a99fd2b2df919fd5f0532

Closes https://github.com/official-stockfish/Stockfish/pull/3421

Bench: 4191632
2021-04-06 18:23:35 +02:00
Stéphane Nicolet f40913f7f6 Keep more pawns
This patch increases the weight of pawns in the scale factor applied
to the output of the NNUE evaluation. This has the effect that Stockfish
will try a little bit harder to keep more pawns in position where the
engine has the advantage, and exchange more pawns in bad positions.

STC:
LLR: 2.93 (-2.94,2.94) {-0.20,1.10}
Total: 42552 W: 3858 L: 3668 D: 35026
Ptnml(0-2): 152, 2956, 14876, 3134, 158
https://tests.stockfishchess.org/tests/view/606a06dd2b2df919fd5f0504

LTC:
LLR: 2.95 (-2.94,2.94) {0.20,0.90}
Total: 44328 W: 1703 L: 1531 D: 41094
Ptnml(0-2): 20, 1373, 19207, 1543, 21
https://tests.stockfishchess.org/tests/view/606aa4ec2b2df919fd5f053e

Closes https://github.com/official-stockfish/Stockfish/pull/3420

Bench: 4310076
2021-04-06 09:07:20 +02:00
Stéphane Nicolet b862c8d4be Small clean-up
Bench: 4321677
2021-03-31 08:12:25 +02:00
bmc4 c489df6f5b Simplify King Evasion
Simplify away the removal of some illegal `KING`-evasion moves during move
generation. Verified for correctness by running perft on the following positions:

```
./stockfish
bench 16 1 6 default perft
Nodes searched: 71608931810

./stockfish
position fen 4rrk1/1p1nq3/p7/2p1P1pp/3P2bp/3Q1Bn1/PPPB4/1K2R1NR w - - 40 21
go perft 6
Nodes searched: 6136386434
```

Passed STC:
LLR: 2.94 (-2.94,2.94) {-1.00,0.20}
Total: 16072 W: 1473 L: 1349 D: 13250
Ptnml(0-2): 57, 1047, 5710, 1159, 63
https://tests.stockfishchess.org/tests/view/60629e7ef183b42957b423b1

Passed LTC:
LLR: 2.94 (-2.94,2.94) {-0.70,0.20}
Total: 59064 W: 2214 L: 2177 D: 54673
Ptnml(0-2): 26, 1944, 25556, 1979, 27
https://tests.stockfishchess.org/tests/view/6062dce4f183b42957b423de

closes https://github.com/official-stockfish/Stockfish/pull/3415

No functional change
2021-03-31 07:47:15 +02:00
mstembera 62a0b65ff8 Simplify and unify FRC cornered bishop.
tested locally as fishtest doesn't support FRC:

STC NNUE
9646 - 9647 - 20707 [0.500] 40000 -0.0 +/- 2.4, LOS: 49.7 %, DrawRatio: 51.8 %

STC classical
9678 - 9609 - 20713 [0.501] 40000 0.6 +/- 2.4, LOS: 69.0 %, DrawRatio: 51.8 %

and verified independently:

Score of master vs patch: 6463 - 6580 - 34957 [0.499] 48000

closes https://github.com/official-stockfish/Stockfish/pull/3413

bench: 4321677
2021-03-27 17:03:10 +01:00
Tomasz Sobczyk f28303d214 Allow using Intel SDE for PGO builds.
The software development emulator (SDE) allows to run binaries compiled
for architectures not supported by the actual CPU. This is useful to
do PGO builds for newer architectures. The SDE can currently be obtained from
https://software.intel.com/content/www/us/en/develop/articles/intel-software-development-emulator.html

This patch introduces a new optional makefile argument SDE_PATH.
If not empty it should contain the path to the sde executable

closes https://github.com/official-stockfish/Stockfish/pull/3373

No functional change.
2021-03-27 16:56:05 +01:00
Stéphane Nicolet 83eac08e75 Small cleanups (march 2021)
With help of @BM123499, @mstembera, @gvreuls, @noobpwnftw and @Fanael
Thanks!

Closes https://github.com/official-stockfish/Stockfish/pull/3405

No functional change
2021-03-24 17:11:06 +01:00
Guy Vreuls ec42154ef2 Use reference instead of pointer for pop_lsb() signature
This patch changes the pop_lsb() signature from Square pop_lsb(Bitboard*) to
Square pop_lsb(Bitboard&). This is more idomatic for C++ style signatures.

Passed a non-regression STC test:
LLR: 2.93 (-2.94,2.94) {-1.25,0.25}
Total: 21280 W: 1928 L: 1847 D: 17505
Ptnml(0-2): 71, 1427, 7558, 1518, 66
https://tests.stockfishchess.org/tests/view/6053a1e22433018de7a38e2f

We have verified that the generated binary is identical on gcc-10.

Closes https://github.com/official-stockfish/Stockfish/pull/3404

No functional change.
2021-03-19 20:28:57 +01:00
Vizvezdenec ace9632c67 Add a specific FRC correction from classical to NNUE
our net currently is not trained on FRC games, and so doesn't know about the important pattern of a bishop that is cornered in FRC.
This patch introduces a term we have in the classical evaluation for this case, and adds it to the NNUE eval.

Since fishtest doesn't support FRC right now, the patch was tested locally at STC conditions,
starting from the book of FRC starting positions.

Score of master vs patch: 993 - 2226 - 6781  [0.438] 10000

Which corresponds to approximately 40 Elo

The patch passes non-regression testing for traditional chess (where it adds one branch).

passed STC:
https://tests.stockfishchess.org/tests/view/604fa2532433018de7a38b67
LLR: 2.95 (-2.94,2.94) {-1.25,0.25}
Total: 30560 W: 2701 L: 2636 D: 25223
Ptnml(0-2): 88, 2056, 10921, 2133, 82

passed STC also in an earlier version:
https://tests.stockfishchess.org/tests/view/604f61282433018de7a38b4d

closes https://github.com/official-stockfish/Stockfish/pull/3398

No functional change
2021-03-19 11:58:17 +01:00
bmc4 5089061659 Change definition of between_bb()
We remark that in current master, most of our use cases for between_bb() can be
optimized if the second parameter of the function is added to the segment. So we
change the definition of between_bb(s1, s2) such that it excludes s1 but includes s2.

We also use a precomputed array for between_bb() for another small speed gain
(see https://tests.stockfishchess.org/tests/view/604d09f72433018de7a389fb).

Passed STC:
LLR: 2.96 (-2.94,2.94) {-0.25,1.25}
Total: 18736 W: 1746 L: 1607 D: 15383
Ptnml(0-2): 61, 1226, 6644, 1387, 50
https://tests.stockfishchess.org/tests/view/60428c84ddcba5f0627bb6e4

Yellow LTC:
LTC:
LLR: -3.00 (-2.94,2.94) {0.25,1.25}
Total: 39144 W: 1431 L: 1413 D: 36300
Ptnml(0-2): 13, 1176, 17184, 1178, 21
https://tests.stockfishchess.org/tests/view/605128702433018de7a38ca1

Closes https://github.com/official-stockfish/Stockfish/pull/3397

---------

Verified for correctness by running perft on the following position:

./stockfish
position fen 4rrk1/1p1nq3/p7/2p1P1pp/3P2bp/3Q1Bn1/PPPB4/1K2R1NR w - - 40 21
go perft 6

Nodes searched: 6136386434

--------

No functional change
2021-03-18 00:21:41 +01:00
Vizvezdenec d58e83695f Remove advanced_pawn_push()
Continuation of work by @topologist: we now do futility pruning and movecount
pruning in qsearch() for pawn pushes up to the 7th rank. So the condition to
avoid the pruning is if the move is a promotion or not. This allows to get rid
of the advanced_pawn_push() function in position.h alltogether.

Passed STC
https://tests.stockfishchess.org/tests/view/6048c5842433018de7a387e6
LLR: 2.93 (-2.94,2.94) {-1.25,0.25}
Total: 34424 W: 3081 L: 3015 D: 28328
Ptnml(0-2): 110, 2442, 12052, 2488, 120

Passed LTC
https://tests.stockfishchess.org/tests/view/6048f7d22433018de7a387f0
LLR: 2.94 (-2.94,2.94) {-0.75,0.25}
Total: 142024 W: 5170 L: 5202 D: 131652
Ptnml(0-2): 50, 4678, 61613, 4596, 75

Closes https://github.com/official-stockfish/Stockfish/pull/3390

Bench: 4339126
2021-03-17 10:34:02 +01:00
bmc4 830f597134 Simplify move generation (2/2)
STC:
LLR: 2.97 (-2.94,2.94) {-1.25,0.25}
Total: 39352 W: 3551 L: 3493 D: 32308
Ptnml(0-2): 143, 2695, 13928, 2781, 129
https://tests.stockfishchess.org/tests/view/6050007a2433018de7a38bbb

LTC:
LLR: 2.96 (-2.94,2.94) {-0.75,0.25}
Total: 44944 W: 1629 L: 1596 D: 41719
Ptnml(0-2): 22, 1319, 19762, 1342, 27
https://tests.stockfishchess.org/tests/view/60500e892433018de7a38bc4

Closes https://github.com/official-stockfish/Stockfish/pull/3399

No functional change
2021-03-16 22:34:23 +01:00
bmc4 4b509559fb Simplify move generation (1/2)
STC:
LLR: 2.95 (-2.94,2.94) {-1.25,0.25}
Total: 29792 W: 2611 L: 2545 D: 24636
Ptnml(0-2): 94, 1982, 10659, 2086, 75
https://tests.stockfishchess.org/tests/view/604fe5b62433018de7a38ba8

LTC:
LLR: 2.92 (-2.94,2.94) {-0.75,0.25}
Total: 22040 W: 826 L: 777 D: 20437
Ptnml(0-2): 8, 646, 9664, 693, 9
https://tests.stockfishchess.org/tests/view/604fec892433018de7a38bac

Closes https://github.com/official-stockfish/Stockfish/pull/3399

No functional change
2021-03-16 22:32:53 +01:00
bmc4 939395729c Introduce least_significant_square_bb()
Introducing least_significant_square_bb(). It is a function that returns a value equal
to square_bb(lsb(bb)), but it uses fewer instruction. It should speed up more on older
processors like armv7-a Clang.

Passed STC:
LLR: 2.93 (-2.94,2.94) {-0.25,1.25}
Total: 213200 W: 19171 L: 18753 D: 175276
Ptnml(0-2): 680, 14513, 75831, 14861, 715
https://tests.stockfishchess.org/tests/view/604bc7632433018de7a38982

Closes https://github.com/official-stockfish/Stockfish/pull/3391

No functional change
2021-03-16 20:54:52 +01:00
Topologist f3b296c2e2 Change advanced pawn push threshold
A pawn push is now considered to be "advanced" if the relative destination
rank is > 6 (previously it was > 5). This affects the search heuristic.

Also remove an assert concerning en passant moves in qsearch().

STC:
LLR: 2.97 (-2.94,2.94) {-0.25,1.25}
Total: 46744 W: 4224 L: 4040 D: 38480
Ptnml(0-2): 165, 3206, 16451, 3380, 170
https://tests.stockfishchess.org/tests/view/604746082433018de7a3872e

LTC:
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 107840 W: 4198 L: 3892 D: 99750
Ptnml(0-2): 58, 3472, 46557, 3772, 61
https://tests.stockfishchess.org/tests/view/60475eae2433018de7a38737

Closes https://github.com/official-stockfish/Stockfish/pull/3389

Bench: 4796780
2021-03-10 12:32:53 +01:00
bmc4 b74274628c Use Bitboard over Square in movegen
It uses pos.checkers() on target when movegen is the type of EVASION.
It simplify the code. And it's also expected a slightly speed up,
because Bitboard is more direct when doing bitwise.

Passed STC:
LLR: 2.93 (-2.94,2.94) {-1.25,0.25}
Total: 28176 W: 2506 L: 2437 D: 23233
Ptnml(0-2): 80, 1904, 10063, 1949, 92
https://tests.stockfishchess.org/tests/view/60421d18ddcba5f0627bb6a9

Passed LTC:
LLR: 2.93 (-2.94,2.94) {-0.75,0.25}
Total: 9704 W: 402 L: 341 D: 8961
Ptnml(0-2): 3, 279, 4230, 334, 6
https://tests.stockfishchess.org/tests/view/60422823ddcba5f0627bb6ae

closes https://github.com/official-stockfish/Stockfish/pull/3383

No functional change
2021-03-07 21:16:38 +01:00
mattginsberg 5346f1c6c7 Deal with commented lines in UCI input
commands starting with '#' as the first character will be ignored

closes https://github.com/official-stockfish/Stockfish/pull/3378

No functional change
2021-03-07 21:10:04 +01:00
noobpwnftw d4b864ff12 Do not try to use large pages on 32 bit Windows.
verified to work on windows XP.

fixes  #3379

closes https://github.com/official-stockfish/Stockfish/pull/3380

No functional change.
2021-03-07 20:02:11 +01:00
Dieter Dobbelaere 7ffae17f85 Add Stockfish namespace.
fixes #3350 and is a small cleanup that might make it easier to use SF
in separate projects, like a NNUE trainer or similar.

closes https://github.com/official-stockfish/Stockfish/pull/3370

No functional change.
2021-03-07 14:26:54 +01:00
Antoine Champion 9b1274aba3 Clean functions returning by const values
The codebase contains multiple functions returning by const-value.
This patch is a small cleanup making those function returns
by value instead, removing the const specifier.

closes https://github.com/official-stockfish/Stockfish/pull/3328

No functional change
2021-03-07 14:05:01 +01:00
Stéphane Nicolet 0f3f5d85fb Introduce DistanceFromPV
We introduce a metric for each internal node in search, called DistanceFromPV.
This distance indicated how far the current node is from the principal variation.

We then use this distance to search the nodes which are close to the PV a little
deeper (up to 4 plies deeper than the PV): this improves the quality of the search
at these nodes and bring better updates for the PV during search.

STC:
LLR: 2.96 (-2.94,2.94) {-0.25,1.25}
Total: 54936 W: 5047 L: 4850 D: 45039
Ptnml(0-2): 183, 3907, 19075, 4136, 167
https://tests.stockfishchess.org/tests/view/6037b88e7f517a561bc4a392

LTC:
LLR: 2.95 (-2.94,2.94) {0.25,1.25}
Total: 49608 W: 1880 L: 1703 D: 46025
Ptnml(0-2): 22, 1514, 21555, 1691, 22
https://tests.stockfishchess.org/tests/view/6038271b7f517a561bc4a3cb

Closes https://github.com/official-stockfish/Stockfish/pull/3369

Bench: 5037279
2021-02-26 19:45:29 +01:00
Vizvezdenec 7c30091a92 Introduce ProbCut for check evasions
The idea of this patch can be described as follows: if we are in check
and the transposition table move is a capture that returns a value
far above beta, we can assume that the opponent just blundered a piece
by giving check, and we return the transposition table value. This is
similar to the usual probCut logic for quiet moves, but with a different
threshold.

Passed STC
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 33440 W: 3056 L: 2891 D: 27493
Ptnml(0-2): 110, 2338, 11672, 2477, 123
https://tests.stockfishchess.org/tests/view/602cd1087f517a561bc49bda

Passed LTC
LLR: 2.98 (-2.94,2.94) {0.25,1.25}
Total: 10072 W: 401 L: 309 D: 9362
Ptnml(0-2): 2, 288, 4365, 378, 3
https://tests.stockfishchess.org/tests/view/602ceea57f517a561bc49bf0

The committed version has an additional fix to never return unproven wins
in the tablebase range or the mate range. This fix passed tests for non-
regression at STC and LTC:

STC:
LLR: 2.93 (-2.94,2.94) {-1.25,0.25}
Total: 26240 W: 2354 L: 2280 D: 21606
Ptnml(0-2): 85, 1763, 9372, 1793, 107
https://tests.stockfishchess.org/tests/view/602d86a87f517a561bc49c7a

LTC:
LLR: 2.95 (-2.94,2.94) {-0.75,0.25}
Total: 35304 W: 1299 L: 1256 D: 32749
Ptnml(0-2): 14, 1095, 15395, 1130, 18
https://tests.stockfishchess.org/tests/view/602d98d17f517a561bc49c83

Closes https://github.com/official-stockfish/Stockfish/pull/3362

Bench: 3830215
2021-02-20 22:49:39 +01:00
Vizvezdenec 6294db7514 Tune search parameters (with Unai Corzo)
The values used in this patch are taken from a SPSA parameter tuning session
originated by Unai Corzo (@unaiic), but the final difference of his tune was
multiplied x2 by hand. Most of the credits should go to him :-)

STC:
https://tests.stockfishchess.org/tests/view/602f03d07f517a561bc49d40
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 67664 W: 6252 L: 6035 D: 55377
Ptnml(0-2): 256, 4799, 23527, 4972, 278

LTC:
https://tests.stockfishchess.org/tests/view/602f41697f517a561bc49d5a
LLR: 2.96 (-2.94,2.94) {0.25,1.25}
Total: 26256 W: 1034 L: 906 D: 24316
Ptnml(0-2): 10, 804, 11377, 922, 15

Closes https://github.com/official-stockfish/Stockfish/pull/3363

Bench: 3957653
2021-02-20 22:22:07 +01:00
Stéphane Nicolet a31007c9e7 Restore development version
No functional change
2021-02-20 22:19:14 +01:00
Joost VandeVondele 3597f1942e Stockfish 13
Official release version of Stockfish 13

Bench: 3766422

-----

It is our pleasure to release Stockfish 13 to chess fans worldwide.
As usual, downloads are freely available at

https://stockfishchess.org

The Stockfish project builds on a thriving community of enthusiasts
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 thank them all!

The good news first: from now on, our users can expect more frequent
high-quality releases of Stockfish! Sadly, this decision has been
triggered by the start of sales of the Fat Fritz 2 engine by ChessBase,
which is a copy of a very recent development version of Stockfish
with minor modifications. We refer to our statement on Fat Fritz 2[1]
and a community blog[2] for further information.

This version of Stockfish is significantly stronger than any of its
predecessors. Stockfish 13 outperforms Stockfish 12 by at least
35 Elo[3]. When playing against a one-year-old Stockfish, it wins 60
times more game pairs than it loses[4]. This release features an NNUE
network retrained on billions of positions, much faster network
evaluation code, and significantly improved search heuristics, as
well as additional evaluation tweaks. In the course of its development,
this version has won the superfinals of the TCEC Season 19 and
TCEC Season 20.

Going forward, the Leela Chess Zero and Stockfish teams will join
forces to demonstrate our commitment to open source chess engines and
training tools, and open data. We are convinced that our free and
open-source chess engines serve the chess community very well.

Stay safe and enjoy chess!

The Stockfish team
[1] https://blog.stockfishchess.org/post/643239805544792064/statement-on-fat-fritz-2
[2] https://lichess.org/blog/YCvy7xMAACIA8007/fat-fritz-2-is-a-rip-off
[3] https://tests.stockfishchess.org/tests/view/602bcccf7f517a561bc49b11
[4] https://tests.stockfishchess.org/tests/view/600fbb9c735dd7f0f0352d59
2021-02-18 22:14:55 +01:00
Stéphane Nicolet 9f6d69c544 Update README.md
• reorder some sections of the README file
• add reference to the AUTHORS file
• rename Syzygybases to Syzygy tablebases
• add pointer to the Discord channel
• more precise info about the GPLv3 licence

No functional change
2021-02-16 16:40:54 +01:00
Lolligerhans 40cb0f076a Small trivial clean-ups, February 2021
Closes https://github.com/official-stockfish/Stockfish/pull/3329

No functional change
2021-02-16 01:31:42 +01:00
Stéphane Nicolet b46813f9b7 Update Top CPU Contributors
No functional change
2021-02-15 23:58:03 +01:00
Vizvezdenec 76daa88cf8 PV-Nodes likely to fail low
Do not decrease reduction at pv-nodes which are likely to fail low.

The idea of this patch can be described as following: during the search, if a node
on the principal variation was re-searched in non-pv search and this re-search got
a value which was much lower than alpha, then we can assume that this pv-node is
likely to fail low again, and we can reduce more aggressively at this node.

Passed STC
https://tests.stockfishchess.org/tests/view/6023a5fa7f517a561bc49638
LLR: 2.95 (-2.94,2.94) {-0.25,1.25}
Total: 70288 W: 6443 L: 6223 D: 57622
Ptnml(0-2): 239, 5022, 24436, 5174, 273

Passed LTC
https://tests.stockfishchess.org/tests/view/6023f2617f517a561bc49661
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 105656 W: 4048 L: 3748 D: 97860
Ptnml(0-2): 67, 3312, 45761, 3630, 58

Closes https://github.com/official-stockfish/Stockfish/pull/3349

Bench: 3766422
2021-02-11 23:39:06 +01:00
mattginsberg 573f0e364f Better code for hash table generation
This patch removes some magic numbers in TT bit management and introduce proper
constants in the code, to improve documentation and ease further modifications.

No function change
2021-02-11 22:29:35 +01:00
Gian-Carlo Pascutto 550fed3343 Enable New Pass Manager for Clang.
It's about 1% speedup for Stockfish.

Result of 100 runs
==================
base (...fish_clang12) =    1946851  +/- 3717
test (./stockfish    ) =    1967276  +/- 3408
diff                   =     +20425  +/- 2438

speedup        = +0.0105
P(speedup > 0) =  1.0000

Thanks to David Major for making me aware of this part
of LLVM development.

closes https://github.com/official-stockfish/Stockfish/pull/3346

No functional change
2021-02-10 19:54:26 +01:00
Gian-Carlo Pascutto b15e3b3fa9 Disable ThinLTO when using Clang.
Benchmarking with current Clang 12 shows that
and ThinLTO is a pessimization, see issue #3341.

closes https://github.com/official-stockfish/Stockfish/pull/3345

No functional change.
2021-02-10 19:52:20 +01:00
Andy Pilate 1f87a9eb6c Fixes FreeBSD compilation when using Clang
closes https://github.com/official-stockfish/Stockfish/pull/3342

No functional change
2021-02-10 19:50:44 +01:00
bmc4 29ed22de8c Search Parameters Tuning
A simple tuning on search.cpp.

based SPSA test:
https://tests.stockfishchess.org/tests/view/601f2a787f517a561bc493cd

passed STC:
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 117840 W: 10796 L: 10508 D: 96536
Ptnml(0-2): 422, 8381, 41041, 8639, 437
https://tests.stockfishchess.org/tests/view/602144c37f517a561bc494ae

passed LTC:
LLR: 2.96 (-2.94,2.94) {0.25,1.25}
Total: 25024 W: 972 L: 847 D: 23205
Ptnml(0-2): 7, 767, 10847, 876, 15
https://tests.stockfishchess.org/tests/view/602156877f517a561bc494be

closes https://github.com/official-stockfish/Stockfish/pull/3340

Bench: 3974098
2021-02-08 21:42:03 +01:00
FauziAkram 5ebdc40f83 Pawns Tuning
A simple tuning of Pawns parameters, and some PSQT changes.

Passed STC:
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 219424 W: 43681 L: 43103 D: 132640
Ptnml(0-2): 4014, 25760, 49669, 26172, 4097
https://tests.stockfishchess.org/tests/view/601bce167f517a561bc491eb

Passed LTC:
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 317312 W: 42525 L: 41579 D: 233208
Ptnml(0-2): 2447, 30157, 92636, 30835, 2581
https://tests.stockfishchess.org/tests/view/601c21557f517a561bc49227

closes https://github.com/official-stockfish/Stockfish/pull/3337

Bench: 4154473
2021-02-08 21:39:30 +01:00
bmc4 9f8058bd26 Simplify En Passant
simplifies the handling of en passant during search, needs a little more care in initialization.

Passed STC:
LLR: 2.95 (-2.94,2.94) {-1.25,0.25}
Total: 72608 W: 6569 L: 6559 D: 59480
Ptnml(0-2): 233, 5117, 25629, 5057, 268
https://tests.stockfishchess.org/tests/view/600f1363735dd7f0f0352ce7

Passed LTC:
LLR: 2.92 (-2.94,2.94) {-0.75,0.25}
Total: 24328 W: 913 L: 864 D: 22551
Ptnml(0-2): 10, 731, 10633, 780, 10
https://tests.stockfishchess.org/tests/view/600f2e93735dd7f0f0352cf6

closes https://github.com/official-stockfish/Stockfish/pull/3330

No functional change.
2021-02-08 21:35:59 +01:00
bmc4 6617ad6e03 Tune ordering of moves at internal nodes
We change the relative weights of the function used to order
quiet moves in our MovePicker class.

Passed STC:
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 32184 W: 2936 L: 2773 D: 26475
Ptnml(0-2): 115, 2196, 11328, 2317, 136
https://tests.stockfishchess.org/tests/view/60161ee1735dd7f0f03530f8

Passed LTC:
LLR: 2.93 (-2.94,2.94) {0.25,1.25}
Total: 33088 W: 1292 L: 1149 D: 30647
Ptnml(0-2): 14, 1030, 14318, 1163, 19
https://tests.stockfishchess.org/tests/view/60163146735dd7f0f03530ff

The new weight were chosen after the following SPSA session:
https://tests.stockfishchess.org/tests/view/60136857735dd7f0f0352f6c

Closes https://github.com/official-stockfish/Stockfish/pull/3331

Bench: 4398803
2021-01-31 16:00:06 +01:00
bmc4 dd96095214 Simplify Chess 960 castling
a little cleanup, and small speedup (about 0.3%) for Chess 960.

Verified with perft on a large set of chess960 positions.

Closes https://github.com/official-stockfish/Stockfish/pull/3317

No functional change
2021-01-31 10:07:02 +01:00
bmc4 0db374777e Speed Up Perft Search
It speeds up generate<LEGAL>, and thus perft, roughly by 2-3%.

closes https://github.com/official-stockfish/Stockfish/pull/3312

No functional change
2021-01-31 10:04:41 +01:00
bmc4 befbcffb4e Clean Up Castling in gives_check
There is no need to add rto or kto on the Bitboard which represents the pieces.

STC:
LLR: 2.93 (-2.94,2.94) {-1.25,0.25}
Total: 57064 W: 5096 L: 5067 D: 46901
Ptnml(0-2): 202, 3862, 20355, 3931, 182
https://tests.stockfishchess.org/tests/view/6005ea2c6019e097de3efa55

LTC:
LLR: 2.92 (-2.94,2.94) {-0.75,0.25}
Total: 30088 W: 1094 L: 1052 D: 27942
Ptnml(0-2): 10, 882, 13217, 926, 9
https://tests.stockfishchess.org/tests/view/6006115a6019e097de3efa6e

closes https://github.com/official-stockfish/Stockfish/pull/3311

No functional change.
2021-01-31 10:02:10 +01:00
bmc4 7d0a16e06d Avoid more expensive legality check
speedup of the code, enough to pass STC, failed LTC.

Passed STC:
LLR: 2.93 (-2.94,2.94) {-0.25,1.25}
Total: 68928 W: 6334 L: 6122 D: 56472
Ptnml(0-2): 233, 4701, 24369, 4943, 218
https://tests.stockfishchess.org/tests/view/6002747f6019e097de3ef8dc

Failed LTC:
LLR: -2.96 (-2.94,2.94) {0.25,1.25}
Total: 44560 W: 1702 L: 1675 D: 41183
Ptnml(0-2): 25, 1383, 19438, 1408, 26
https://tests.stockfishchess.org/tests/view/6002a4836019e097de3ef8e3

About 1% speedup:

Result of  50 runs
==================
base (...kfish.master) =    2237500  +/- 7428
test (...ckfish.patch) =    2267003  +/- 7017
diff                   =     +29503  +/- 4774

speedup        = +0.0132
P(speedup > 0) =  1.0000

closes https://github.com/official-stockfish/Stockfish/pull/3304

No functional change.
2021-01-31 10:00:17 +01:00
Lolligerhans 70a818cbd6 Small cleanups
closes https://github.com/official-stockfish/Stockfish/pull/3301

No functional change
2021-01-30 13:27:31 +01:00
Stéphane Nicolet 1188141aa7 Improve play for closed positions
This patch give a small bonus to incite the attacking side to keep more
pawns on the board.

A consequence of this bonus is that Stockfish will tend to play positions
slightly more closed on average than master, especially when it believes
that it has an advantage.

To lower the risk of blockades where Stockfish start shuffling without
progress, we also implement a progressive decrease of the evaluation
value with the 50 moves counter (along with the necessary aging of the
transposition table to reduce the impact of the Graph History Interaction
problem): since the evaluation decreases during shuffling phases, the
engine will tend to examine the consequences of pawn breaks faster during
the search.

Passed STC:
LLR: 2.96 (-2.94,2.94) {-0.25,1.25}
Total: 26184 W: 2406 L: 2252 D: 21526
Ptnml(0-2): 85, 1784, 9223, 1892, 108
https://tests.stockfishchess.org/tests/view/600cc08b735dd7f0f0352c06

Passed LCT:
LLR: 2.95 (-2.94,2.94) {0.25,1.25}
Total: 199768 W: 7695 L: 7191 D: 184882
Ptnml(0-2): 85, 6478, 86269, 6952, 100
https://tests.stockfishchess.org/tests/view/600ccd28735dd7f0f0352c10

Closes https://github.com/official-stockfish/Stockfish/pull/3321

Bench: 3988915
2021-01-30 13:20:56 +01:00
Rod Johnson b7f643fe39 Add .gitignore
add files produced during the build to a newly added .gitignore

closes https://github.com/official-stockfish/Stockfish/pull/3286

No functional change
2021-01-30 13:19:20 +01:00
Krystian Kuzniarek 329ef2a6aa Change lock type
No additional features of std::unique_lock has been previously used
so it's better to use a lighter lock.

closes https://github.com/official-stockfish/Stockfish/pull/3284

No functional change.
2021-01-30 12:57:27 +01:00
Lolligerhans 77eeea407c Add penalty for doubled pawns in agile structure
Give an additional penalty of S(20, 10) for any doubled pawn if none of
the opponent's pawns is facing any of our
 - pawns or
 - pawn attacks;
that means, each of their pawns can push at least one square without
being captured.
This ignores their non-pawns pieces and attacks.

One possible justification: Their pawns' ability to push freely provides
options to react to our threats by changing their pawn structure. Our
doubled pawns however will likely lead to an exploitable weakness, even
if the pawn structure is not yet fixed.

Note that the notion of "their pawns not being fixed" is symmetric for
both players: If all of their pawns can push freely so can ours. All
pawns being freely pushable might just be an early-game-indicator.
However, it can trigger during endgame pawns races, where doubled pawns
are especially hindering, too.

LTC
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 134976 W: 17964 L: 17415 D: 99597
Ptnml(0-2): 998, 12702, 39619, 13091, 1078
https://tests.stockfishchess.org/tests/view/5ffdd5316019e097de3ef281

STC
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 35640 W: 7219 L: 6904 D: 21517
Ptnml(0-2): 645, 4096, 8084, 4289, 706
https://tests.stockfishchess.org/tests/view/5ffda4a16019e097de3ef265

closes https://github.com/official-stockfish/Stockfish/pull/3302

Bench: 4363873
2021-01-17 09:35:59 +01:00
Tomasz Sobczyk 6dddcecb09 Optimize generate_moves
This change simplifies control flow in the generate_moves function which ensures the compiler doesn't duplicate work due to possibly not resolving pureness of the function calls. Also the biggest change is the removal of the unnecessary condition checking for empty b in a convoluted way. The rationale for removal of this condition is that computing attacks_bb with occupancy is not much more costly than computing pseudo attacks and overall the condition (also being likely unpredictable) is a pessimisation.

This is inspired by previous changes by @BM123499.

Passed STC:
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 88040 W: 8172 L: 7931 D: 71937
Ptnml(0-2): 285, 6128, 30957, 6361, 289
https://tests.stockfishchess.org/tests/view/5ffc28386019e097de3ef1c7

closes https://github.com/official-stockfish/Stockfish/pull/3300

No functional change.
2021-01-13 22:59:54 +01:00
FauziAkram ee3f7b6b6e Bad Outpost Pawn Scale
Changed name from Bad Outpost to Uncontested Outpost
Scale Uncontested Outpost with number of pawns + Decrease Bishop PSQT values and general tuning

Credits for the decrease of the Bishop PSQT values: Fauzi
Credits for scaling Uncontested Outpost with number of pawns: Lolligerhans
Credits for the tunings: Fauzi

Passed STC:
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 32040 W: 6593 L: 6281 D: 19166
Ptnml(0-2): 596, 3713, 7095, 4015, 601
https://tests.stockfishchess.org/tests/view/5ffa43026019e097de3ef0f2

Passed LTC:
LLR: 2.95 (-2.94,2.94) {0.25,1.25}
Total: 84376 W: 11395 L: 10950 D: 62031
Ptnml(0-2): 652, 7930, 24623, 8287, 696
https://tests.stockfishchess.org/tests/view/5ffa6e7b6019e097de3ef0fd

closes https://github.com/official-stockfish/Stockfish/pull/3296

Bench: 4287509
2021-01-11 19:42:31 +01:00
Vizvezdenec 37c2b5685e Refine stat based reductions
This patch separates stat based reductions for quiet moves in case of being in check and in case of not being in check.
We will be using sum of first continuation history and main history (similar to movepicker) instead of statScore for the first case.

passed STC
https://tests.stockfishchess.org/tests/view/5ff87b2f6019e097de3ef09b
LLR: 2.93 (-2.94,2.94) {-0.25,1.25}
Total: 63992 W: 5887 L: 5678 D: 52427
Ptnml(0-2): 201, 4561, 22305, 4686, 243

passed LTC
https://tests.stockfishchess.org/tests/view/5ff8b6206019e097de3ef0b2
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 81216 W: 3127 L: 2880 D: 75209
Ptnml(0-2): 46, 2544, 35176, 2801, 41

closes https://github.com/official-stockfish/Stockfish/pull/3293

bench 4395984
2021-01-11 19:36:07 +01:00
BM123499 5f222f1d98 Rethink En Passant Evasion Capture
It now checks if it were a discovery attack instead of the attacking piece is the double-moved pawn.

As a side effect, certain illegal fens have different, and slightly more logical move generation.
There is no intend to maintain particular behavior for such non-reachable fens.

Passed STC:
LLR: 2.93 (-2.94,2.94) {-1.25,0.25}
Total: 47912 W: 4327 L: 4285 D: 39300
Ptnml(0-2): 144, 3312, 17012, 3334, 154
https://tests.stockfishchess.org/tests/view/5ff890946019e097de3ef0a5

closes https://github.com/official-stockfish/Stockfish/pull/3292

closes / fixes https://github.com/official-stockfish/Stockfish/issues/3270

No functional change
2021-01-11 19:31:22 +01:00
Dieter Dobbelaere 0266e70297 Fix static_assert.
With a hard-coded true, this declaration has no effect.

closes https://github.com/official-stockfish/Stockfish/pull/3295

No functional change.
2021-01-11 19:23:05 +01:00
Dieter Dobbelaere 87586b3d0c Use correct chess terms + fix spelling.
- "discovered check" (instead of "discovery check")
  - "en passant" (instead of "en-passant")
  - "pseudo-legal" before a noun (instead of "pseudo legal")
  - "3-fold" (instead of "3fold")

closes https://github.com/official-stockfish/Stockfish/pull/3294

No functional change.
2021-01-11 19:19:39 +01:00
Vizvezdenec b1bb376c3c Small code cleanup in LMR
In a recent patch we added comparing capture history to a number for LMR of captures.
Calling it via thisThread-> is not needed since capture history was already declared by this time -
so removing makes code slightly shorter and easier to follow.

closes https://github.com/official-stockfish/Stockfish/pull/3297

No functional change.
2021-01-11 19:17:03 +01:00
MaximMolchanov 303713b560 Affine transform robust implementation
Size of the weights in the last layer is less than 512 bits. It leads to wrong data access for AVX512. There is no error because in current implementation it is guaranteed that there is an array of zeros after weights so zero multiplied by something is returned and sum is correct. It is a mistake that can lead to unexpected bugs in the future. Used AVX2 instructions for smaller input size.

No measurable slowdown on avx512.

closes https://github.com/official-stockfish/Stockfish/pull/3298

No functional change.
2021-01-11 18:54:18 +01:00
bmc4 4d30438400 Remove Condition from Generate_Move Loop
it seems it's faster to handle blockers_for_king(~Us) outside loops

Passed STC:
LLR: 2.96 (-2.94,2.94) {-0.25,1.25}
Total: 22184 W: 2063 L: 1919 D: 18202
Ptnml(0-2): 63, 1485, 7855, 1623, 66
https://tests.stockfishchess.org/tests/view/5ffbee2f6019e097de3ef18d

closes https://github.com/official-stockfish/Stockfish/pull/3299

No functional change
2021-01-11 18:41:47 +01:00
Joost VandeVondele c4d67d77c9 Update copyright years
No functional change
2021-01-08 17:04:23 +01:00
Vizvezdenec 2c1be0be8e Reorder conditions in LMR and pruning
Make code logic somewhat easier to follow.

closes https://github.com/official-stockfish/Stockfish/pull/3285

No functional change.
2021-01-08 16:57:26 +01:00
MaximMolchanov 23c385ec36 Affine transform refactoring.
Reordered weights in such a way that accumulated sum fits to output.
Weights are grouped in blocks of four elements because four
int8 (weight type) corresponds to one int32 (output type).
No horizontal additions.
Grouped AVX512, AVX2 and SSSE3 implementations.
Repeated code was removed.

An earlier version passed STC:

LLR: 2.97 (-2.94,2.94) {-0.25,1.25}
Total: 15336 W: 1495 L: 1355 D: 12486
Ptnml(0-2): 44, 1054, 5350, 1158, 62
https://tests.stockfishchess.org/tests/view/5ff60e106019e097de3eefd5

Speedup depends on the architecture, up to 4% measured on a NNUE only bench.

closes https://github.com/official-stockfish/Stockfish/pull/3287

No functional change
2021-01-08 16:35:44 +01:00
FauziAkram d21e421ad7 WeakUnopposed penalty for backwards on file A or H
Do not give the WeakUnopposed penalty for backwards on file A or H

The original idea comes from Lolligerhans, and a series of tunings and tests done by Fauzi.

Passed STC:
LLR: 2.96 (-2.94,2.94) {-0.25,1.25}
Total: 140864 W: 28127 L: 27660 D: 85077
Ptnml(0-2): 2529, 16660, 31735, 16831, 2677
https://tests.stockfishchess.org/tests/view/5fe39dec3932f79192d39673

Passed LTC:
LLR: 2.95 (-2.94,2.94) {0.25,1.25}
Total: 67568 W: 8993 L: 8590 D: 49985
Ptnml(0-2): 523, 6176, 19983, 6579, 523
https://tests.stockfishchess.org/tests/view/5fe3dd1b3932f79192d39693

closes https://github.com/official-stockfish/Stockfish/pull/3275

Bench: 4109336
2020-12-31 18:03:33 +01:00
Unai Corzo 8ec97d161e Remove razoring
has become ineffective now.

STC https://tests.stockfishchess.org/tests/view/5fe653403932f79192d3981a
LLR: 2.95 (-2.94,2.94) {-1.25,0.25}
Total: 63448 W: 5965 L: 5934 D: 51549
Ptnml(0-2): 230, 4738, 21769, 4745, 242

LTC https://tests.stockfishchess.org/tests/view/5fe6f0f03932f79192d39856
LLR: 2.93 (-2.94,2.94) {-0.75,0.25}
Total: 65368 W: 2485 L: 2459 D: 60424
Ptnml(0-2): 33, 2186, 28230, 2192, 43

closes https://github.com/official-stockfish/Stockfish/pull/3278

bench: 4493379
2020-12-31 17:51:14 +01:00
Unai Corzo 8985c210a1 Simplify away late irreversible move extension
Late irreversible move extension seems to be useless now.

STC https://tests.stockfishchess.org/tests/view/5fe75c5c3932f79192d398ca
LLR: 2.93 (-2.94,2.94) {-1.25,0.25}
Total: 196192 W: 18111 L: 18278 D: 159803
Ptnml(0-2): 681, 14097, 68652, 14040, 626

LTC https://tests.stockfishchess.org/tests/view/5fe875e23932f79192d39952
LLR: 2.96 (-2.94,2.94) {-0.75,0.25}
Total: 28080 W: 1105 L: 1053 D: 25922
Ptnml(0-2): 13, 904, 12158, 948, 17

closes https://github.com/official-stockfish/Stockfish/pull/3279

bench: 4144640
2020-12-31 17:48:47 +01:00
Unai Corzo c57c71bf5c Assorted parameter tweak
Parameter tweak from various tunes and patches.

STC https://tests.stockfishchess.org/tests/view/5fec2ae36019e097de3ee94a
LLR: 2.97 (-2.94,2.94) {-0.25,1.25}
Total: 41976 W: 4032 L: 3848 D: 34096
Ptnml(0-2): 147, 3086, 14341, 3264, 150

LTC https://tests.stockfishchess.org/tests/view/5fec5c3c6019e097de3ee973
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 23936 W: 970 L: 844 D: 22122
Ptnml(0-2): 14, 749, 10319, 869, 17

closes https://github.com/official-stockfish/Stockfish/pull/3281

bench: 4354546
2020-12-31 17:44:15 +01:00
Stefan Geschwentner 4262461457 Tweak capture LMR.
Apply the recently added LMR condition for captures at nodes which are not PV or former PV nodes only if capture history is not too good.

STC:
LLR: 2.96 (-2.94,2.94) {-0.25,1.25}
Total: 95296 W: 8917 L: 8660 D: 77719
Ptnml(0-2): 323, 6871, 33045, 7044, 365
https://tests.stockfishchess.org/tests/view/5feca7f46019e097de3ee9ae

LTC:
LLR: 2.95 (-2.94,2.94) {0.25,1.25}
Total: 29216 W: 1172 L: 1034 D: 27010
Ptnml(0-2): 11, 946, 12568, 1060, 23
https://tests.stockfishchess.org/tests/view/5fecf1786019e097de3ee9d5

closes https://github.com/official-stockfish/Stockfish/pull/3283

Bench: 4006138
2020-12-31 17:41:34 +01:00
Vizvezdenec 51deae8998 Do more LMR for captures
This patch enables LMR for all captures at allNodes that were not in PV.
Currently we do LMR for all captures at cutNodes so this is an expansion of this logic:
now we do LMR for all captures almost at all non-pv nodes,
excluding only allNodes that were in PV.

passed STC
https://tests.stockfishchess.org/tests/view/5fe50b9d3932f79192d3973c
LLR: 2.95 (-2.94,2.94) {-0.25,1.25}
Total: 83128 W: 7606 L: 7368 D: 68154
Ptnml(0-2): 292, 5905, 28939, 6129, 299

passed LTC
https://tests.stockfishchess.org/tests/view/5fe552e43932f79192d39744
LLR: 2.92 (-2.94,2.94) {0.25,1.25}
Total: 13968 W: 568 L: 466 D: 12934
Ptnml(0-2): 5, 418, 6043, 506, 12

closes https://github.com/official-stockfish/Stockfish/pull/3273

Bench: 4194835
2020-12-25 10:21:00 +01:00
Moez Jellouli b06ef36ae5 Correct Outflanking calculations in classical eval
Take signed value of rank difference between kings squares instead absolute value in outflanking calculation. This change correct evaluation of endgames with one king invading opponent last ranks.

Passed STC:
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 122240 W: 24326 L: 23896 D: 74018
Ptnml(0-2): 2101, 14139, 28236, 14517, 2127
https://tests.stockfishchess.org/tests/view/5fdfc33a3932f79192d394b8

Passed LTC:
LLR: 2.97 (-2.94,2.94) {0.25,1.25}
Total: 157416 W: 20870 L: 20292 D: 116254
Ptnml(0-2): 973, 13954, 48333, 14418, 1030
https://tests.stockfishchess.org/tests/view/5fe07a453932f79192d39502

closes https://github.com/official-stockfish/Stockfish/pull/3271

Bench: 4162769
2020-12-23 20:20:24 +01:00
FauziAkram 45b05328b6 Tweak the formulas for unsafeSquares
We give more bonus for a special case: If there are some enemy squares occupied
or attacked by the enemy on the passed pawn span,
but if they are all attacked by our pawn, use new intermediate factor 30.

The main credit goes to Rocky for the idea, with additional tuning and tests.

Passed STC:
LLR: 2.95 (-2.94,2.94) {-0.25,1.25}
Total: 96464 W: 19233 L: 18834 D: 58397
Ptnml(0-2): 1683, 11327, 21950, 11452, 1820
https://tests.stockfishchess.org/tests/view/5fdd21ab3932f79192d39357

Passed LTC:
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 81320 W: 10784 L: 10352 D: 60184
Ptnml(0-2): 602, 7524, 24044, 7820, 670
https://tests.stockfishchess.org/tests/view/5fddec983932f79192d393a4

closes https://github.com/official-stockfish/Stockfish/pull/3268

Bench: 4338972
2020-12-23 20:17:57 +01:00
pb00067 1f3b5b8b54 Simplify condition for assigning static-eval based bonus
for quiet move ordering and simplify bonus formula.

Due to clamping the bonus to relative low values the impact on high
depths is minimal, thus the restriction to low depths seems not
necessary.
Also the condition of movecount in previous node seems to be not
determinant.

Passed STC:
LLR: 2.95 (-2.94,2.94) {-1.25,0.25}
Total: 14600 W: 1424 L: 1323 D: 11853
Ptnml(0-2): 55, 1033, 5020, 1140, 52
https://tests.stockfishchess.org/tests/view/5fd67b381ac16912018885ec

Passed LTC:
LLR: 2.95 (-2.94,2.94) {-0.75,0.25}
Total: 85008 W: 3218 L: 3206 D: 78584
Ptnml(0-2): 49, 2840, 36700, 2880, 35
https://tests.stockfishchess.org/tests/view/5fd6af041ac16912018885f8

closes https://github.com/official-stockfish/Stockfish/pull/3265

bench: 4524994
2020-12-18 21:19:46 +01:00
FauziAkram 66a7a8a0cc Adjust definition of unsafeSquares
and adjust related bonus values. The bonus is now not given whenever
there is an enemy piece in front of the pawn.

Passed STC:
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 109472 W: 22097 L: 21673 D: 65702
Ptnml(0-2): 2111, 12800, 24482, 13240, 2103
https://tests.stockfishchess.org/tests/view/5fd8d3740c5870924361ffad

Passed LTC:
LLR: 2.95 (-2.94,2.94) {0.25,1.25}
Total: 39384 W: 5334 L: 4990 D: 29060
Ptnml(0-2): 279, 3648, 11535, 3910, 320
https://tests.stockfishchess.org/tests/view/5fd971ab0c5870924361fff0

closes https://github.com/official-stockfish/Stockfish/pull/3266

Bench: 4488955
2020-12-18 21:17:34 +01:00
Vizvezdenec a88a38c3a9 Increase reduction in case of stable best move
The idea of this patch is pretty simple - we already do more reductions
for non-PV and root nodes in case of stable best move for depth > 10.
This patch makes us do so if root depth if > 10 instead, which
is logical since best move changes (thus instability of it) is
counted at root, so it makes a lot of sense to use depth of the root.

passed STC
https://tests.stockfishchess.org/tests/view/5fd643271ac16912018885c5
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 13232 W: 1308 L: 1169 D: 10755
Ptnml(0-2): 39, 935, 4535, 1062, 45

passed LTC
https://tests.stockfishchess.org/tests/view/5fd68db11ac16912018885f0
LLR: 2.96 (-2.94,2.94) {0.25,1.25}
Total: 14024 W: 565 L: 463 D: 12996
Ptnml(0-2): 3, 423, 6062, 517, 7

closes https://github.com/official-stockfish/Stockfish/pull/3263

Bench: 4050630
2020-12-14 07:52:02 +01:00
pb00067 16adcb5374 Merge static history into main history,
thus simplifying and reducing the memory footprint.
I believe using static diff for better move ordering is more suited for
low depths, so restrict writing to low depths.

Todo: probably the condition for writing can be simplified

LTC:
LLR: 2.95 (-2.94,2.94) {-0.75,0.25}
Total: 18752 W: 768 L: 705 D: 17279
Ptnml(0-2): 7, 635, 8034, 688, 12
https://tests.stockfishchess.org/tests/view/5fd631791ac169120188859e

STC:
LLR: 2.95 (-2.94,2.94) {-1.25,0.25}
Total: 36504 W: 3380 L: 3313 D: 29811
Ptnml(0-2): 116, 2667, 12645, 2682, 142
https://tests.stockfishchess.org/tests/view/5fd5ed861ac1691201888569

closes https://github.com/official-stockfish/Stockfish/pull/3262

bench: 4018036
2020-12-14 07:48:48 +01:00
mstembera d862ba4069 AVX512, AVX2 and SSSE3 speedups
Improves throughput by summing 2 intermediate dot products using 16 bit addition before upconverting to 32 bit.

Potential saturation is detected and the code-path is avoided in this case.
The saturation can't happen with the current nets,
but nets can be constructed that trigger this check.

STC https://tests.stockfishchess.org/tests/view/5fd40a861ac1691201888479
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 25544 W: 2451 L: 2296 D: 20797
Ptnml(0-2): 92, 1761, 8925, 1888, 106

about 5% speedup

closes https://github.com/official-stockfish/Stockfish/pull/3261

No functional change
2020-12-14 07:46:15 +01:00
FauziAkram d706ae62d7 New Imbalance Tables Tweak
Imbalance tables tweaked to contain MiddleGame and Endgame values, instead of a single value.

The idea started from Fisherman, which requested my help to tune the values back in June/July,
so I tuned the values back then, and we were able to accomplish good results,
but not enough to pass both STC and LTC tests.

So after the recent changes, I decided to give it another shot, and I am glad that it was a successful attempt.

A special thanks goes also to mstembera, which notified me a simple way to let the patch perform a little better.

Passed STC:
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 115976 W: 23124 L: 22695 D: 70157
Ptnml(0-2): 2074, 13652, 26285, 13725, 2252
https://tests.stockfishchess.org/tests/view/5fc92d2d42a050a89f02ccc8

Passed LTC:
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 156304 W: 20617 L: 20024 D: 115663
Ptnml(0-2): 1138, 14647, 46084, 15050, 1233
https://tests.stockfishchess.org/tests/view/5fc9fee142a050a89f02cd3e

closes https://github.com/official-stockfish/Stockfish/pull/3255

Bench: 4278746
2020-12-12 09:31:28 +01:00
Fanael Linithien c7f0a768cb Use arithmetic right shift for sign extension in MMX and SSE2 paths
This appears to be slightly faster than using a comparison against zero
to compute the high bits, on both old (like Pentium III) and new (like
Zen 2) hardware.

closes https://github.com/official-stockfish/Stockfish/pull/3254

No functional change.
2020-12-12 09:20:15 +01:00
Vizvezdenec 8630d03dd4 Add comments to uncommented parts of code
https://github.com/official-stockfish/Stockfish/pull/3250

No functional change
2020-12-05 16:58:42 +01:00
Vizvezdenec be7a03a957 Introduce static history
The idea of this patch can be described as following: we update static
history stats based on comparison of the static evaluations of the
position before and after the move. If the move increases static evaluation
it's assigned positive bonus, if it decreases static evaluation
it's assigned negative bonus. These stats are used in movepicker
to sort quiet moves.

passed STC
https://tests.stockfishchess.org/tests/view/5fca4c0842a050a89f02cd66
LLR: 3.00 (-2.94,2.94) {-0.25,1.25}
Total: 78152 W: 7409 L: 7171 D: 63572
Ptnml(0-2): 303, 5695, 26873, 5871, 334

passed LTC
https://tests.stockfishchess.org/tests/view/5fca6be442a050a89f02cd75
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 40240 W: 1602 L: 1441 D: 37197
Ptnml(0-2): 19, 1306, 17305, 1475, 15

closes https://github.com/official-stockfish/Stockfish/pull/3253

bench 3845156
2020-12-05 16:48:33 +01:00
SFisGOD 7364006757 Update default net to nn-62ef826d1a6d.nnue
Include scaling change as suggested by Dietrich Kappe,
the one who trained net for Komodo.  According to him,
some nets may require different scaling in order to utilize its full strength.

STC:
LLR: 2.93 (-2.94,2.94) {-0.25,1.25}
Total: 99856 W: 9669 L: 9401 D: 80786
Ptnml(0-2): 374, 7468, 34037, 7614, 435
https://tests.stockfishchess.org/tests/view/5fc2697642a050a89f02c8ec

LTC:
LLR: 2.96 (-2.94,2.94) {0.25,1.25}
Total: 29840 W: 1220 L: 1081 D: 27539
Ptnml(0-2): 10, 969, 12827, 1100, 14
https://tests.stockfishchess.org/tests/view/5fc2ea5142a050a89f02c957

Bench: 3561701
2020-11-29 16:54:06 +01:00
Unai Corzo 2442ba2b0e Reductions simplification
Simplify increase reduction for captures/promotions if late move and at low depth.

STC https://tests.stockfishchess.org/tests/view/5fbff65067cbf42301d6b3ae
LLR: 2.97 (-2.94,2.94) {-1.25,0.25}
Total: 49088 W: 4607 L: 4555 D: 39926
Ptnml(0-2): 177, 3615, 16932, 3619, 201

LTC https://tests.stockfishchess.org/tests/view/5fc0902967cbf42301d6b3fc
LLR: 2.99 (-2.94,2.94) {-0.75,0.25}
Total: 160944 W: 6153 L: 6193 D: 148598
Ptnml(0-2): 90, 5525, 69294, 5461, 102

closes https://github.com/official-stockfish/Stockfish/pull/3248

bench: 3834568
2020-11-29 16:52:51 +01:00
syzygy1 045728a7da Remove piece lists
This patch removes the incrementally updated piece lists from the Position object.

This has been tried before but always failed. My reasons for trying again are:

* 32-bit systems (including phones) are now much less important than they were some years ago (and are absent from fishtest);
* NNUE may have made SF less finely tuned to the order in which moves were generated.

STC:
LLR: 2.94 (-2.94,2.94) {-1.25,0.25}
Total: 55272 W: 5260 L: 5216 D: 44796
Ptnml(0-2): 208, 4147, 18898, 4159, 224
https://tests.stockfishchess.org/tests/view/5fc2986a42a050a89f02c926

LTC:
LLR: 2.96 (-2.94,2.94) {-0.75,0.25}
Total: 16600 W: 673 L: 608 D: 15319
Ptnml(0-2): 14, 533, 7138, 604, 11
https://tests.stockfishchess.org/tests/view/5fc2f98342a050a89f02c95c

closes https://github.com/official-stockfish/Stockfish/pull/3247

Bench: 3940967
2020-11-29 16:51:01 +01:00
Unai Corzo 2bc4ae172a Update README.md
fix a few typos

closes https://github.com/official-stockfish/Stockfish/pull/3245

No functional change
2020-11-29 16:47:00 +01:00
Unai Corzo 6c429c4d65 Search simplification
STC https://tests.stockfishchess.org/tests/view/5fc2083942a050a89f02c8bb
LLR: 2.93 (-2.94,2.94) {-1.25,0.25}
Total: 23200 W: 2251 L: 2160 D: 18789
Ptnml(0-2): 86, 1726, 7895, 1797, 96

LTC https://tests.stockfishchess.org/tests/view/5fc22d7b42a050a89f02c8d0
LLR: 2.92 (-2.94,2.94) {-0.75,0.25}
Total: 15832 W: 653 L: 590 D: 14589
Ptnml(0-2): 7, 521, 6795, 588, 5

closes https://github.com/official-stockfish/Stockfish/pull/3244/files

bench: 3827317

Simplify search.
2020-11-29 16:42:40 +01:00
lonfom169 66da1e802c Remove bonus for killers.
Passed non-regression STC:
LLR: 2.94 (-2.94,2.94) {-1.25,0.25}
Total: 14712 W: 1416 L: 1315 D: 11981
Ptnml(0-2): 59, 1029, 5082, 1124, 62
https://tests.stockfishchess.org/tests/view/5fbfa31f67cbf42301d6b36e

Passed non-regression LTC:
LLR: 2.95 (-2.94,2.94) {-0.75,0.25}
Total: 27536 W: 1099 L: 1044 D: 25393
Ptnml(0-2): 11, 929, 11838, 974, 16
https://tests.stockfishchess.org/tests/view/5fbfac9167cbf42301d6b371

closes https://github.com/official-stockfish/Stockfish/pull/3241

Bench: 3887644
2020-11-29 16:40:06 +01:00
Lolligerhans d6d6972a66 Refine rook penalty on closed files
+-----------------+
| . . . . . . . . | All files are closed. Some files are
| . . . . . o o . | more valuable for rooks, because
| . . . . o . . o | they might open in the future.
| . . . o x . . x |
| o . o x . x x . |
| x o x . . . . . | x  our pawns
| . x . . . . . . | o  their pawns
| . . . . . . . . | ^  rooks are scored higher on these files
+-----------------+
            ^ ^

Files containing none of our own pawns are open or half-open (otherwise
they are closed). Rooks on (half-)open files recieve a bonus for the
future potential to act along all ranks.

This commit refines the (relative) penalty of rooks on closed files.
Files that contain one of our blocked pawns are considered less likely
to open in the future; rooks on these files are now penalized stronger.

This bonus does not generally correlate with mobility. If the condition
is sufficiently refined in the future, it may be beneficial to adjust or
override mobility scores in some cases.

LTC
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 494384 W: 71565 L: 70231 D: 352588
Ptnml(0-2): 3907, 48050, 142118, 49036, 4081
https://tests.stockfishchess.org/tests/view/5fb9312e67cbf42301d6afb9

LTC (non-regression w/ book noob_3moves.epd)
LLR: 2.95 (-2.94,2.94) {-0.75,0.25}
Total: 208520 W: 27044 L: 26937 D: 154539
Ptnml(0-2): 1557, 19850, 61391, 19853, 1609
https://tests.stockfishchess.org/tests/view/5fc01ced67cbf42301d6b3df

STC
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 98392 W: 20269 L: 19868 D: 58255
Ptnml(0-2): 1804, 11297, 22589, 11706, 1800
https://tests.stockfishchess.org/tests/view/5fb7f88a67cbf42301d6af10

closes https://github.com/official-stockfish/Stockfish/pull/3242

Bench: 3682630
2020-11-29 16:38:03 +01:00
mstembera 9b7983a452 Cleaned up MakeIndex()
The index order in kpp_board_index[][] is reversed to be more optimal for the access pattern

STC https://tests.stockfishchess.org/tests/view/5fbd74f967cbf42301d6b24f
LLR: 2.93 (-2.94,2.94) {-1.25,0.25}
Total: 27504 W: 2686 L: 2607 D: 22211
Ptnml(0-2): 84, 2001, 9526, 2034, 107

closes https://github.com/official-stockfish/Stockfish/pull/3233

No functional change
2020-11-29 16:36:49 +01:00
Vizvezdenec 190dd26b9f use classical for certain endgames.
STC https://tests.stockfishchess.org/tests/view/5fbc64c067cbf42301d6b1d6
LLR: 2.97 (-2.94,2.94) {-0.25,1.25}
Total: 53360 W: 5223 L: 5024 D: 43113
Ptnml(0-2): 184, 3877, 18390, 4014, 215

LTC https://tests.stockfishchess.org/tests/view/5fbc97f267cbf42301d6b1ee
LLR: 2.96 (-2.94,2.94) {0.25,1.25}
Total: 126472 W: 5111 L: 4766 D: 116595
Ptnml(0-2): 50, 4032, 54749, 4333, 72

closes https://github.com/official-stockfish/Stockfish/pull/3240

bench: 3820648
2020-11-26 08:20:06 +01:00
MaximMolchanov 7615e3485e Calculate sum from first elements
in affine transform for AVX512/AVX2/SSSE3

The idea is to initialize sum with the first element instead of zero.
Reduce one add_epi32 and one set_zero SIMD instructions for each output dimension.

sum = 0; for i = 1 to n sum += a[i] ->
sum = a[1]; for i = 2 to n sum += a[i]

STC:
LLR: 2.95 (-2.94,2.94) {-0.25,1.25}
Total: 69048 W: 7024 L: 6799 D: 55225
Ptnml(0-2): 260, 5175, 23458, 5342, 289
https://tests.stockfishchess.org/tests/view/5faf2cf467cbf42301d6aa06

closes https://github.com/official-stockfish/Stockfish/pull/3227

No functional change.
2020-11-25 21:10:13 +01:00
Unai Corzo 9fb6383ed8 Assorted search and eval parameter tune
Search and eval parameter tune.

STC https://tests.stockfishchess.org/tests/view/5fba850a67cbf42301d6b07d
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 24312 W: 2388 L: 2228 D: 19696
Ptnml(0-2): 85, 1800, 8241, 1930, 100

LTC https://tests.stockfishchess.org/tests/view/5fbad5ea67cbf42301d6b0fa
LLR: 2.95 (-2.94,2.94) {0.25,1.25}
Total: 88376 W: 3619 L: 3351 D: 81406
Ptnml(0-2): 56, 2977, 37849, 3255, 51

closes https://github.com/official-stockfish/Stockfish/pull/3232

bench: 3600361
2020-11-25 21:05:08 +01:00
Stéphane Nicolet 027626db1e Small cleanups 13
No functional change
2020-11-23 22:20:32 +01:00
FauziAkram f9595828eb Rook Mobility Tweak
Passed STC:
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 171152 W: 34715 L: 34202 D: 102235
Ptnml(0-2): 3278, 20155, 38228, 20606, 3309
https://tests.stockfishchess.org/tests/view/5fa861f467cbf42301d6a68e

Passed LTC:
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 149616 W: 20471 L: 19882 D: 109263
Ptnml(0-2): 1172, 14434, 43102, 14833, 1267
https://tests.stockfishchess.org/tests/view/5fa9c8ff67cbf42301d6a74f

closes https://github.com/official-stockfish/Stockfish/pull/3226

Bench: 3597730
2020-11-15 13:23:19 +01:00
SFisGOD 285bf7041a Increase reduction at root
when the best move does not change frequently

STC:
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 51320 W: 5159 L: 4956 D: 41205
Ptnml(0-2): 215, 3897, 17242, 4082, 224
https://tests.stockfishchess.org/tests/view/5faa072367cbf42301d6a767

LTC:
LLR: 2.98 (-2.94,2.94) {0.25,1.25}
Total: 15952 W: 762 L: 642 D: 14548
Ptnml(0-2): 8, 561, 6725, 667, 15
https://tests.stockfishchess.org/tests/view/5faa4c3567cbf42301d6a794

closes https://github.com/official-stockfish/Stockfish/pull/3225

Bench: 3954692
2020-11-12 12:49:03 +01:00
lonfom169 b5781150ea Increase reduction based on the number of best move changes.
Thanks to Vizvezdenec for the PvNode idea and also to vondele the !PvNode idea.

Passed STC:
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 19120 W: 1998 L: 1839 D: 15283
Ptnml(0-2): 76, 1445, 6375, 1572, 92
https://tests.stockfishchess.org/tests/view/5fa8af3e67cbf42301d6a6c9

Passed LTC:
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 75584 W: 3454 L: 3205 D: 68925
Ptnml(0-2): 54, 2832, 31771, 3081, 54

closes https://github.com/official-stockfish/Stockfish/pull/3224

Bench: 3595418
2020-11-10 18:21:05 +01:00
Stéphane Nicolet 392b529c3f Qsearch pruning: follow-up
This is a follow-up of the recent qsearch pruning patch in
https://github.com/official-stockfish/Stockfish/commit/a260c9a8a24a2630a900efc3821000c3481b0c5d

We now use the same guard condition (testing that we already have a defense with
a score better  score than a TB loss) for all pruning heuristics in qsearch().
This allows some pruning when in check, but  in a controlled way to ensure that
no wrong mate scores appear.

Tested with Elo-gaining bounds:

STC:
LLR: 2.97 (-2.94,2.94) {-0.25,1.25}
Total: 22632 W: 2433 L: 2264 D: 17935
Ptnml(0-2): 98, 1744, 7487, 1865, 122
https://tests.stockfishchess.org/tests/view/5fa59405936c54e11ec99515

LTC:
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 105432 W: 4965 L: 4648 D: 95819
Ptnml(0-2): 85, 4110, 44011, 4423, 87
https://tests.stockfishchess.org/tests/view/5fa5b609936c54e11ec9952a

closes https://github.com/official-stockfish/Stockfish/pull/3221

Bench: 3578092
2020-11-08 09:15:34 +01:00
SFisGOD 32edb1d009 Update default net to nn-c3ca321c51c9.nnue
Optimization of the net biases of the 32 x 32 layer and the output layer.

Tuning of 32 x 32 layer (200k games, 5 seconds TC)
https://tests.stockfishchess.org/tests/view/5f9aaf266a2c112b60691c68

STC:
LLR: 2.95 (-2.94,2.94) {-0.25,1.25}
Total: 41848 W: 4665 L: 4461 D: 32722
Ptnml(0-2): 239, 3308, 13659, 3446, 272
https://tests.stockfishchess.org/tests/view/5fa5ef5a936c54e11ec9954f

LTC:
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 88008 W: 4045 L: 3768 D: 80195
Ptnml(0-2): 69, 3339, 36908, 3622, 66
https://tests.stockfishchess.org/tests/view/5fa62a78936c54e11ec99577

closes https://github.com/official-stockfish/Stockfish/pull/3220

Bench: 3649288
2020-11-08 08:36:16 +01:00
Tomasz Sobczyk ba35c88ab8 AVX-512 for smaller affine and feature transforms.
For the feature transformer the code is analogical to AVX2 since there was room for easy adaptation of wider simd registers.

For the smaller affine transforms that have 32 byte stride we keep 2 columns in one zmm register. We also unroll more aggressively so that in the end we have to do 16 parallel horizontal additions on ymm slices each consisting of 4 32-bit integers. The slices are embedded in 8 zmm registers.

These changes provide about 1.5% speedup for AVX-512 builds.

Closes https://github.com/official-stockfish/Stockfish/pull/3218

No functional change.
2020-11-07 16:49:49 +01:00
FauziAkram 7fc47eeb6f Introducing King On File
this new concept calculates bonuses/penalties for the king when the king is in a semiopen or open file.

Passed STC:
LLR: 2.95 (-2.94,2.94) {-0.25,1.25}
Total: 44904 W: 9365 L: 9028 D: 26511
Ptnml(0-2): 857, 5309, 9841, 5530, 915
https://tests.stockfishchess.org/tests/view/5fa343625d72639a7acef72b

Passed LTC:
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 60552 W: 8449 L: 8051 D: 44052
Ptnml(0-2): 466, 5772, 17481, 6012, 545
https://tests.stockfishchess.org/tests/view/5fa40e365d72639a7acef79e

closes https://github.com/official-stockfish/Stockfish/pull/3219

Bench: 3689484
2020-11-07 16:49:49 +01:00
Joost VandeVondele 04a320666e Change handling the special case of a single legal move.
Using no searching time in case of a single legal move is not beneficial from
a strength point of view, and this special case can be easily removed:

STC:
LLR: 2.93 (-2.94,2.94) {-1.25,0.25}
Total: 22472 W: 2458 L: 2357 D: 17657
Ptnml(0-2): 106, 1733, 7453, 1842, 102
https://tests.stockfishchess.org/tests/view/5f926cbc81eda81bd78cb6df

LTC:
LLR: 2.94 (-2.94,2.94) {-0.75,0.25}
Total: 37880 W: 1736 L: 1682 D: 34462
Ptnml(0-2): 22, 1392, 16057, 1448, 21
https://tests.stockfishchess.org/tests/view/5f92a26081eda81bd78cb6fe

The advantage of using the normal time management for a single legal move is that scores
reported for that move are reasonable, not searching leads to artifacts during games
(see e.g. https://tcec-chess.com/#div=sf&game=96&season=19)

The disadvantage of using normal time management of a single legal move is that thinking
times can be unnaturally long, making it 'painful to watch' in online tournaments.

This patch uses normal time management, but caps the used time to 500ms.
This should lead to reasonable scores, and be hardly perceptible.

closes https://github.com/official-stockfish/Stockfish/pull/3195
closes https://github.com/official-stockfish/Stockfish/pull/3183

variant of a patch suggested by SFisGOD

No functional change.
2020-11-07 16:48:02 +01:00
Tomasz Sobczyk 3f6451eff7 Manually align arrays on the stack
as a workaround to issues with overaligned alignas() on stack variables in gcc < 9.3 on windows.

closes https://github.com/official-stockfish/Stockfish/pull/3217

fixes #3216

No functional change
2020-11-04 19:52:42 +01:00
J. Oster a260c9a8a2 Fix incorrect pruning in qsearch
Only do countermove based pruning in qsearch if we already have a move with a better score than a TB loss.

This patch fixes a bug (started as 843a961) that incorrectly prunes moves if in check,
and adds an assert to make sure no wrong mate scores are given in the future.
It replaces a no-op moveCount check with a check for bestValue.

Initially discussed in #3171 and later in #3199, #3198 and #3210.
This PR effectively closes #3171
It also likely fixes #3196 where this causes user visible incorrect TB scores,
which probably result from these incorrect mate scores.

Passed STC and LTC non-regression tests.
https://tests.stockfishchess.org/tests/view/5f9ef8dabca9bf35bae7f648
LLR: 2.93 (-2.94,2.94) {-1.25,0.25}
Total: 21672 W: 2339 L: 2230 D: 17103
Ptnml(0-2): 126, 1689, 7083, 1826, 112

https://tests.stockfishchess.org/tests/view/5f9f0caebca9bf35bae7f666
LLR: 2.97 (-2.94,2.94) {-0.75,0.25}
Total: 33152 W: 1551 L: 1485 D: 30116
Ptnml(0-2): 27, 1308, 13832, 1390, 19

closes https://github.com/official-stockfish/Stockfish/pull/3214

Bench: 3625915
2020-11-02 19:41:17 +01:00
FauziAkram 931070b65a Elo Worth in King Danger
Adding the EloWorth for each term in King Danger.
Should be useful for simplifications, tuning patches, and new ideas.

closes https://github.com/official-stockfish/Stockfish/pull/3204

non-functional change
2020-11-02 19:41:17 +01:00
Tomasz Sobczyk 75e06a1c89 Optimize affine transform for SSSE3 and higher targets.
A non-functional speedup. Unroll the loops going over
the output dimensions in the affine transform layers by
a factor of 4 and perform 4 horizontal additions at a time.
Instead of doing naive horizontal additions on each vector
separately use hadd and shuffling between vectors to reduce
the number of instructions by using all lanes for all stages
of the horizontal adds.

passed STC of the initial version:
LLR: 2.95 (-2.94,2.94) {-0.25,1.25}
Total: 17808 W: 1914 L: 1756 D: 14138
Ptnml(0-2): 76, 1330, 5948, 1460, 90
https://tests.stockfishchess.org/tests/view/5f9d516f6a2c112b60691da3

passed STC of the final version after cleanup:
LLR: 2.95 (-2.94,2.94) {-0.25,1.25}
Total: 16296 W: 1750 L: 1595 D: 12951
Ptnml(0-2): 72, 1192, 5479, 1319, 86
https://tests.stockfishchess.org/tests/view/5f9df5776a2c112b60691de3

closes https://github.com/official-stockfish/Stockfish/pull/3203

No functional change
2020-11-02 19:41:17 +01:00
mstembera dfc7f88650 Update default net to nn-cb26f10b1fd9.nnue
Result of https://tests.stockfishchess.org/tests/view/5f9a06796a2c112b60691c0f tuning.

STC
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 53712 W: 5776 L: 5561 D: 42375
Ptnml(0-2): 253, 4282, 17604, 4431, 286
https://tests.stockfishchess.org/tests/view/5f9c7bbc6a2c112b60691d4d

LTC
LLR: 2.97 (-2.94,2.94) {0.25,1.25}
Total: 80184 W: 4007 L: 3739 D: 72438
Ptnml(0-2): 58, 3302, 33130, 3518, 84
https://tests.stockfishchess.org/tests/view/5f9d01f06a2c112b60691d87

closes https://github.com/official-stockfish/Stockfish/pull/3209

bench: 3517795
2020-11-01 08:02:40 +01:00
syzygy1 0f6c08c73f Do not skip non-recapture ttMove when in check
The qsearch() MovePicker incorrectly skips a non-recapture ttMove
when in check (if depth <= DEPTH_QS_RECAPTURES). This is clearly not
intended and can cause qsearch() to return a mate score when there
is no mate. Introduced in cad300c and 6596f0e, as observed by
joergoster in #3171 and #3198.

This PR fixes the bug by not skipping the non-recapture ttMove when in check.

Passed non-regression STC:
https://tests.stockfishchess.org/tests/view/5f9867ea6a2c112b60691b10
LLR: 2.98 (-2.94,2.94) {-1.25,0.25}
Total: 27112 W: 2943 L: 2842 D: 21327
Ptnml(0-2): 127, 2170, 8878, 2237, 144

Passed non-regression LTC:
https://tests.stockfishchess.org/tests/view/5f9967326a2c112b60691bb0
LLR: 2.99 (-2.94,2.94) {-0.75,0.25}
Total: 18392 W: 807 L: 738 D: 16847
Ptnml(0-2): 9, 655, 7802, 718, 12

closes https://github.com/official-stockfish/Stockfish/pull/3199
closes https://github.com/official-stockfish/Stockfish/pull/3198

Bench: 3870606
2020-10-28 23:40:37 +01:00
SFisGOD 6328135264 Update default net to nn-2eb2e0707c2b.nnue
Optimization of the net weights of the 32 x 32 layer (1024 parameters) and net biases of the 512 x 32 layer (32 parameters) using SPSA.

Tuning of 32 x 32 Layer (800,000 games, 5 seconds time control):
https://tests.stockfishchess.org/tests/view/5f942040d3978d7e86f1aa05

Tuning of 512 x 32 Layer (80,000 games, 20 seconds time control):
https://tests.stockfishchess.org/tests/view/5f8f926d2c92c7fe3a8c608b

STC:
LLR: 2.96 (-2.94,2.94) {-0.25,1.25}
Total: 17336 W: 1918 L: 1754 D: 13664
Ptnml(0-2): 79, 1344, 5672, 1480, 93
https://tests.stockfishchess.org/tests/view/5f9882346a2c112b60691b34

LTC:
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 37304 W: 1822 L: 1651 D: 33831
Ptnml(0-2): 27, 1461, 15501, 1640, 23
https://tests.stockfishchess.org/tests/view/5f98a4b36a2c112b60691b40

closes https://github.com/official-stockfish/Stockfish/pull/3201

Bench: 3403528
2020-10-28 08:13:34 +01:00
FauziAkram bde3505758 Bishop Pawns based on Files
Passed STC:
https://tests.stockfishchess.org/tests/view/5f8cc8145a4eacb45305da3c
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 132544 W: 27795 L: 27328 D: 77421
Ptnml(0-2): 2756, 15558, 29272, 15835, 2851

Passed LTC:
https://tests.stockfishchess.org/tests/view/5f8df614bacb75a4f9a4721e
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 169608 W: 23257 L: 22622 D: 123729
Ptnml(0-2): 1408, 16316, 48758, 16877, 1445

closes https://github.com/official-stockfish/Stockfish/pull/3194

Bench: 4067106
2020-10-28 08:11:29 +01:00
syzygy1 2046d5da30 More incremental accumulator updates
This patch was inspired by c065abd which updates the accumulator,
if possible, based on the accumulator of two plies back if
the accumulator of the preceding ply is not available.

With this patch we look back even further in the position history
in an attempt to reduce the number of complete recomputations.
When we find a usable accumulator for the position N plies back,
we also update the accumulator of the position N-1 plies back
because that accumulator is most likely to be helpful later
when evaluating positions in sibling branches.
By not updating all intermediate accumulators immediately,
we avoid doing too much work that is not certain to be useful.
Overall, roughly 2-3% speedup.

This patch makes the code more specific to the net architecture,
changing input features of the net will require additional changes
to the incremental update code as discussed in the PR #3193 and #3191.

Passed STC:
https://tests.stockfishchess.org/tests/view/5f9056712c92c7fe3a8c60d0
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 10040 W: 1116 L: 968 D: 7956
Ptnml(0-2): 42, 722, 3365, 828, 63

closes https://github.com/official-stockfish/Stockfish/pull/3193

No functional change.
2020-10-22 20:50:16 +02:00
Joost VandeVondele 258af8ae44 Add net as dependency of config
cleaner output and error message if the server is down and the net is not available.

closes https://github.com/official-stockfish/Stockfish/pull/3188

No functional change
2020-10-22 20:18:12 +02:00
xoto10 f5dfad5d72 Reduce big time spikes by reducing PV re-searches.
Save time by reducing PV re-searches above original depth. Instead use 5% extra time on every move.

STC 10+0.1 th 1 :
LLR: 2.93 (-2.94,2.94) {-0.25,1.25}
Total: 90688 W: 9702 L: 9436 D: 71550
Ptnml(0-2): 408, 7252, 29792, 7450, 442
https://tests.stockfishchess.org/tests/view/5f8df807bacb75a4f9a47223

LTC 60+0.6 th 1 :
LLR: 2.97 (-2.94,2.94) {0.25,1.25}
Total: 97856 W: 4602 L: 4303 D: 88951
Ptnml(0-2): 53, 3757, 41057, 3960, 101
https://tests.stockfishchess.org/tests/view/5f8ec4872c92c7fe3a8c602d

closes https://github.com/official-stockfish/Stockfish/pull/3192

Bench 3943959
2020-10-22 20:08:15 +02:00
Vizvezdenec 560c776397 Do more reductions for late quiet moves in case of consecutive fail highs.
Idea of this patch can be described as following - in case we have consecutive fail highs and we reach late enough moves at root node probability of remaining quiet moves being able to produce even bigger value than moves that produced previous cutoff (so ones that should be high in move ordering but now they fail to produce beta cutoff because we actually reached high move count) should be quiet small so we can reduce them more.

passed STC
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 53392 W: 5681 L: 5474 D: 42237
Ptnml(0-2): 214, 4104, 17894, 4229, 255
https://tests.stockfishchess.org/tests/view/5f88501adcdad978fe8c527e

passed LTC
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 59136 W: 2773 L: 2564 D: 53799
Ptnml(0-2): 30, 2117, 25078, 2300, 43
https://tests.stockfishchess.org/tests/view/5f884dbfdcdad978fe8c527a

closes https://github.com/official-stockfish/Stockfish/pull/3184

Bench: 4066972
2020-10-18 13:54:28 +02:00
mstembera 281d520cc2 Update default net to nn-eba324f53044.nnue
The new net is based on the previous net 04cf2b4ed1da but with the biases
for the 1st hidden layer tuned SPSA, see the SPSA session on fishtest there:
https://tests.stockfishchess.org/tests/view/5f875213dcdad978fe8c5211

Thanks to @vondele for writing out the net, see discussion in this thread:
https://github.com/mstembera/Stockfish/commit/432da86721647dff1d9426a7cdcfd2dbada8155e

Passed STC:
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 15000 W: 1640 L: 1483 D: 11877
Ptnml(0-2): 50, 1183, 4908, 1278, 81
https://tests.stockfishchess.org/tests/view/5f8955e20fea1a44ec4f0a5d

Passed LTC:
LLR: 2.96 (-2.94,2.94) {0.25,1.25}
Total: 81272 W: 3948 L: 3682 D: 73642
Ptnml(0-2): 64, 3194, 33856, 3456, 66
https://tests.stockfishchess.org/tests/view/5f89e8efeae8a6e60644d6e7

closes https://github.com/official-stockfish/Stockfish/pull/3187

Bench: 3762411
2020-10-18 13:43:26 +02:00
Unai Corzo 288a604411 Scale factor tweak
Add !pawnsOnBothFlanks heuristic to scale factor.

STC https://tests.stockfishchess.org/tests/view/5f8080575b3847b5d41f9134
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 250960 W: 49779 L: 49168 D: 152013
Ptnml(0-2): 4224, 28822, 58802, 29383, 4249

LTC https://tests.stockfishchess.org/tests/view/5f832f498ea73fb8ddf83ddb
LLR: 2.95 (-2.94,2.94) {0.25,1.25}
Total: 88584 W: 11827 L: 11388 D: 65369
Ptnml(0-2): 585, 8079, 26578, 8412, 638

closes https://github.com/official-stockfish/Stockfish/pull/3179

bench: 3834252
2020-10-14 19:32:12 +02:00
FauziAkram 4a5cc1365f RookOnQueenFile Removal
Removing Rook On Queen File looks beneficial, and it might even bring some ELO.
I will try to reintroduce it with a different method later on.

Passed STC:
https://tests.stockfishchess.org/tests/view/5f7cea204389873867eb10cb
LLR: 2.94 (-2.94,2.94) {-1.25,0.25}
Total: 18624 W: 3800 L: 3568 D: 11256
Ptnml(0-2): 308, 2131, 4257, 2253, 363

Passed LTC:
https://tests.stockfishchess.org/tests/view/5f7d76a4e936c6892bf50598
LLR: 2.95 (-2.94,2.94) {-0.75,0.25}
Total: 117864 W: 15515 L: 15340 D: 87009
Ptnml(0-2): 926, 11127, 34671, 11262, 946

closes https://github.com/official-stockfish/Stockfish/pull/3176

Bench: 3756191
2020-10-14 19:29:22 +02:00
Joost VandeVondele ba73f8ce0d Update default net to nn-04cf2b4ed1da.nnue
Further tune the net parameters, now the last but one layer (32x32).
To limit the number of parameters optimized, the network layer was
decomposed using SVD, and the singular values were treated
as parameters and tuned.

Tuning branch: https://github.com/vondele/Stockfish/tree/svdTune
Tuner: https://github.com/vondele/nevergrad4sf

passed STC:
https://tests.stockfishchess.org/tests/view/5f83e82f8ea73fb8ddf83e4e
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 8488 W: 944 L: 795 D: 6749
Ptnml(0-2): 39, 609, 2811, 734, 51

passed LTC:
https://tests.stockfishchess.org/tests/view/5f83f4118ea73fb8ddf83e66
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 169016 W: 8043 L: 7589 D: 153384
Ptnml(0-2): 133, 6623, 70538, 7085, 129

closes https://github.com/official-stockfish/Stockfish/pull/3181

Bench: 3945198
2020-10-14 13:28:21 +02:00
FauziAkram 767b4f4fbe Pawn Tuning
Tuning of pawns, for classical evaluation:

Passed STC:
https://tests.stockfishchess.org/tests/view/5f771f0e52560f5fc78559ec
LLR: 2.96 (-2.94,2.94) {-0.25,1.25}
Total: 252696 W: 50321 L: 49692 D: 152683
Ptnml(0-2): 4614, 29845, 57049, 29978, 4862

Passed LTC:
https://tests.stockfishchess.org/tests/view/5f77cfef090dcf9aaa16d38b
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 48184 W: 6556 L: 6193 D: 35435
Ptnml(0-2): 335, 4516, 14100, 4733, 408

closes https://github.com/official-stockfish/Stockfish/pull/3169

bench: 4016121
2020-10-05 19:01:46 +02:00
Unai Corzo 17fb3a8ce0 Simplify away futility pruning for captures
Remove futility pruning for captures.

STC https://tests.stockfishchess.org/tests/view/5f749bfed930428c36d34c56
LLR: 2.94 (-2.94,2.94) {-1.25,0.25}
Total: 38064 W: 4011 L: 3929 D: 30124
Ptnml(0-2): 192, 3004, 12567, 3068, 201

LTC https://tests.stockfishchess.org/tests/view/5f74d99bf18675b1ce2f7412
LLR: 2.94 (-2.94,2.94) {-0.75,0.25}
Total: 184984 W: 8567 L: 8610 D: 167807
Ptnml(0-2): 146, 7593, 77058, 7548, 147

closes https://github.com/official-stockfish/Stockfish/pull/3166

bench: 3890648
2020-10-05 18:59:02 +02:00
Joost VandeVondele 9382f854b3 Schedule threads fairly under valgrind
fixes a rare case that can cause CI to fail when running multithreaded under valgrind.

closes https://github.com/official-stockfish/Stockfish/pull/3165

No functional change.
2020-10-05 18:56:49 +02:00
Stéphane Nicolet 5af09cfda5 Include pawns in NNUE scaling
We now include the total pawn count in the scaling factor for the output
of the NNUE evaluation network. This should have the effect of trying to
keep more pawns when SF has the advantage, but exchange them when she
is defending.

Thanks to Alexander Pagel (Lolligerhans) for the idea of using the
value of pawns to ease the comparison with the rest of the material
estimation.

Passed STC:
LLR: 2.93 (-2.94,2.94) {-0.25,1.25}
Total: 15072 W: 1700 L: 1539 D: 11833
Ptnml(0-2): 65, 1202, 4845, 1355, 69
https://tests.stockfishchess.org/tests/view/5f7235a63b22d6afa50699b3

Passed LTC:
LLR: 2.93 (-2.94,2.94) {0.25,1.25}
Total: 25880 W: 1270 L: 1124 D: 23486
Ptnml(0-2): 23, 980, 10788, 1126, 23
https://tests.stockfishchess.org/tests/view/5f723b483b22d6afa5069a99

closes https://github.com/official-stockfish/Stockfish/pull/3164

Bench: 3776081
2020-09-28 22:42:26 +02:00
Stefan Geschwentner 6f0aa186d8 Tweak reduction formula.
Replace log(i) with log(i + 0.25 * log(i)). This increases especially for low values the reductions. But for bigger values there are nearly no changes.

STC:
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 49640 W: 5505 L: 5289 D: 38846
Ptnml(0-2): 270, 4074, 15924, 4274, 278
https://tests.stockfishchess.org/tests/view/5f71f04d3b22d6afa5069478

LTC:
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 43856 W: 2209 L: 2021 D: 39626
Ptnml(0-2): 32, 1776, 18128, 1956, 36
https://tests.stockfishchess.org/tests/view/5f7232ee3b22d6afa50699a2

closes https://github.com/official-stockfish/Stockfish/pull/3163

Bench: 3555769
2020-09-28 22:34:25 +02:00
SFisGOD 5efbaaba77 Update default net to nn-baeb9ef2d183.nnue
Further optimization of Sergio's nn-03744f8d56d8.nnue
This patch is the result of collaboration with Joost VandeVondele.

STC:
LLR: 2.96 (-2.94,2.94) {-0.25,1.25}
Total: 37000 W: 4145 L: 3947 D: 28908
Ptnml(0-2): 191, 3016, 11912, 3166, 215
https://tests.stockfishchess.org/tests/view/5f71e7983b22d6afa5069475

LTC:
LLR: 2.96 (-2.94,2.94) {0.25,1.25}
Total: 60224 W: 2992 L: 2769 D: 54463
Ptnml(0-2): 48, 2420, 24956, 2637, 51
https://tests.stockfishchess.org/tests/view/5f722bb83b22d6afa506998f

closes https://github.com/official-stockfish/Stockfish/pull/3161

Bench: 3720073
2020-09-28 22:29:31 +02:00
FauziAkram ba46599aa2 Tweaking Mobility and Safe Check
Passed STC:
https://tests.stockfishchess.org/tests/view/5f70d86d3b22d6afa50693b9
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 100368 W: 20323 L: 19914 D: 60131
Ptnml(0-2): 1927, 11641, 22605, 12118, 1893

Passed LTC:
https://tests.stockfishchess.org/tests/view/5f71bb553b22d6afa5069457
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 77648 W: 10613 L: 10181 D: 56854
Ptnml(0-2): 634, 7280, 22594, 7652, 664

closes https://github.com/official-stockfish/Stockfish/pull/3160

Bench: 3861984
2020-09-28 22:26:37 +02:00
Vizvezdenec a5e68d9b25 Adjust null move pruning constants
Idea is that division by fraction of 2 is slightly faster than by other numbers so parameters are adjusted in a way that division in null move pruning depth reduction features dividing by 256 instead of dividing by 213.
Other than this patch is almost non-functional - difference starts to exist by depth 133.

passed STC
https://tests.stockfishchess.org/tests/view/5f70dd943b22d6afa50693c5
LLR: 2.95 (-2.94,2.94) {-0.25,1.25}
Total: 57048 W: 6616 L: 6392 D: 44040
Ptnml(0-2): 304, 4583, 18531, 4797, 309

passed LTC
https://tests.stockfishchess.org/tests/view/5f7180db3b22d6afa506941f
LLR: 2.95 (-2.94,2.94) {0.25,1.25}
Total: 45960 W: 2419 L: 2229 D: 41312
Ptnml(0-2): 43, 1779, 19137, 1987, 34

closes https://github.com/official-stockfish/Stockfish/pull/3159

bench 3789924
2020-09-28 22:22:54 +02:00
Joost VandeVondele 36c2886302 Update default net to nn-04a843f8932e.nnue
an optimization of Sergio's nn-03744f8d56d8.nnue tuning the output layer (33 parameters) on game play.

WIP code to make layer parameters tunable is https://github.com/vondele/Stockfish/tree/optionOutput
Optimization itself is using https://github.com/vondele/nevergrad4sf
Writing of the modified net using WIP code based on the learner code https://github.com/vondele/Stockfish/tree/evalWrite

Most parameters in the output layer are changed only little (~5 for int8_t).

passed STC:
https://tests.stockfishchess.org/tests/view/5f716f6b3b22d6afa506941a
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 15488 W: 1859 L: 1689 D: 11940
Ptnml(0-2): 79, 1260, 4917, 1388, 100

passed LTC:
https://tests.stockfishchess.org/tests/view/5f71908e3b22d6afa506942e
LLR: 2.93 (-2.94,2.94) {0.25,1.25}
Total: 8728 W: 518 L: 400 D: 7810
Ptnml(0-2): 7, 338, 3556, 456, 7

closes https://github.com/official-stockfish/Stockfish/pull/3158

Bench: 3789924
2020-09-28 16:55:40 +02:00
noobpwnftw c065abdcaf Use incremental updates more often
Use incremental updates for accumulators for up to 2 plies.
Do not copy accumulator. About 2% speedup.

Passed STC:
LLR: 2.95 (-2.94,2.94) {-0.25,1.25}
Total: 21752 W: 2583 L: 2403 D: 16766
Ptnml(0-2): 128, 1761, 6923, 1931, 133
https://tests.stockfishchess.org/tests/view/5f7150cf3b22d6afa5069412

closes https://github.com/official-stockfish/Stockfish/pull/3157

No functional change
2020-09-28 16:54:35 +02:00
Stéphane Nicolet 1dbd2a1ad5 Tweak nnue scaling to keep more material
Current master uses a constant scale factor of 5/4 = 1.25 for the output
of the NNUE network, for compatibility with search and classical evaluation.
We modify this scale factor to make it dependent on the phase of the game,
going from about 1.5 in the opening to 1.0 for pure pawn endgames.

This helps Stockfish to avoid exchanges of pieces (heavy pieces in particular)
when she has the advantage, keeping more material on the board when attacking.

Passed STC:
LLR: 2.95 (-2.94,2.94) {-0.25,1.25}
Total: 14744 W: 1771 L: 1599 D: 11374
Ptnml(0-2): 87, 1184, 4664, 1344, 93
https://tests.stockfishchess.org/tests/view/5f6fb0a63b22d6afa506904f

Passed LTC:
LLR: 2.95 (-2.94,2.94) {0.25,1.25}
Total: 8912 W: 512 L: 393 D: 8007
Ptnml(0-2): 7, 344, 3637, 459, 9
https://tests.stockfishchess.org/tests/view/5f6fcf533b22d6afa5069066

closes https://github.com/official-stockfish/Stockfish/pull/3154

Bench: 3943952
2020-09-27 08:24:50 +02:00
SFisGOD f66c381f11 Switch to NNUE eval probabilistically for OCB
Introduce a small chance of switching to NNUE if PSQ imbalance is large but we have opposite colored bishops and the classical eval is struggling to win.

STC:
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 25304 W: 3179 L: 2983 D: 19142
Ptnml(0-2): 172, 2171, 7781, 2345, 183
https://tests.stockfishchess.org/tests/view/5f6b14dec7759d4ee307cfe3

LTC:
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 84680 W: 4846 L: 4556 D: 75278
Ptnml(0-2): 89, 3933, 34011, 4213, 94
https://tests.stockfishchess.org/tests/view/5f6b3fb6c7759d4ee307cff9

closes https://github.com/official-stockfish/Stockfish/pull/3146

Bench: 3865413
2020-09-25 17:44:19 +02:00
Stéphane Nicolet 5e6a5e48e6 Suppress info strings before 'uci'
On Windows, Stockfish wouldn't launch in some GUI because we output some
info strings (about the use of large pages) before sending the 'uci'
command. It seems more robust to suppress these info strings, and instead
to add a proper section section in the Readme about large pages use.

fixes https://github.com/official-stockfish/Stockfish/issues/3052
closes https://github.com/official-stockfish/Stockfish/pull/3147

No functional change
2020-09-25 17:44:14 +02:00
Stéphane Nicolet 3d5b2c8a51 Increase reductions with the number of threads
Passed STC with 8 threads:
LLR: 2.92 (-2.94,2.94) {-0.25,1.25}
Total: 13520 W: 1135 L: 1012 D: 11373
Ptnml(0-2): 39, 815, 4929, 938, 39
https://tests.stockfishchess.org/tests/view/5f68e274ded68c240be73f41

Passed LTC with 8 threads:
LLR: 2.96 (-2.94,2.94) {0.25,1.25}
Total: 48384 W: 2183 L: 1994 D: 44207
Ptnml(0-2): 28, 1777, 20402, 1948, 37
https://tests.stockfishchess.org/tests/view/5f68f068ded68c240be747e9

closes https://github.com/official-stockfish/Stockfish/pull/3142

No functional change (for one thread)
2020-09-22 22:45:02 +02:00
Stéphane Nicolet 9a64e737cf Small cleanups 12
- Clean signature of functions in namespace NNUE
- Add comment for countermove based pruning
- Remove bestMoveCount variable
- Add const qualifier to kpp_board_index array
- Fix spaces in get_best_thread()
- Fix indention in capture LMR code in search.cpp
- Rename TtmemDeleter to LargePageDeleter

Closes https://github.com/official-stockfish/Stockfish/pull/3063

No functional change
2020-09-21 10:41:10 +02:00
Sami Kiminki 485d517c68 Add large page support for NNUE weights and simplify TT mem management
Use TT memory functions to allocate memory for the NNUE weights. This
should provide a small speed-up on systems where large pages are not
automatically used, including Windows and some Linux distributions.

Further, since we now have a wrapper for std::aligned_alloc(), we can
simplify the TT memory management a bit:

- We no longer need to store separate pointers to the hash table and
  its underlying memory allocation.
- We also get to merge the Linux-specific and default implementations
  of aligned_ttmem_alloc().

Finally, we'll enable the VirtualAlloc code path with large page
support also for Win32.

STC: https://tests.stockfishchess.org/tests/view/5f66595823a84a47b9036fba
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 14896 W: 1854 L: 1686 D: 11356
Ptnml(0-2): 65, 1224, 4742, 1312, 105

closes https://github.com/official-stockfish/Stockfish/pull/3081

No functional change.
2020-09-21 08:43:48 +02:00
Stefan Geschwentner 16b4578cc1 Tweak hybrid treshold.
Increase the first hybrid threshold with more material.
Rewrite the hybrid rules for clarity.

STC:
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 24416 W: 3039 L: 2848 D: 18529
Ptnml(0-2): 135, 2136, 7503, 2271, 163
https://tests.stockfishchess.org/tests/view/5f6451efbb0cae038ca8f4dc

LTC;
LLR: 2.95 (-2.94,2.94) {0.25,1.25}
Total: 65016 W: 3702 L: 3455 D: 57859
Ptnml(0-2): 66, 2991, 26157, 3218, 76
https://tests.stockfishchess.org/tests/view/5f64b143bb0cae038ca8f51f

closes https://github.com/official-stockfish/Stockfish/pull/3140

Bench: 3973739
2020-09-21 08:19:10 +02:00
Unai Corzo 8559c43914 Simplify reduced depth search
Simplification in reduced depth search.

STC https://tests.stockfishchess.org/tests/view/5f64c72fbb0cae038ca8f531
LLR: 2.94 (-2.94,2.94) {-1.25,0.25}
Total: 28320 W: 3475 L: 3359 D: 21486
Ptnml(0-2): 170, 2485, 8773, 2523, 209

LTC https://tests.stockfishchess.org/tests/view/5f650cfabb0cae038ca8f585
LLR: 2.95 (-2.94,2.94) {-0.75,0.25}
Total: 58392 W: 3354 L: 3285 D: 51753
Ptnml(0-2): 74, 2826, 23336, 2877, 83

closes https://github.com/official-stockfish/Stockfish/pull/3139

bench: 4201295
2020-09-21 07:47:41 +02:00
syzygy1 8b8a510fd6 Use tiling to speed up accumulator refreshes and updates
Perform the update and refresh operations tile by tile in a local
array of vectors. By selecting the array size carefully, we
achieve that the compiler keeps the whole array in vector registers.

Idea and original implementation by @sf-x.

STC: https://tests.stockfishchess.org/tests/view/5f623eec912c15f19854b855
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 4872 W: 623 L: 477 D: 3772
Ptnml(0-2): 14, 350, 1585, 450, 37

LTC: https://tests.stockfishchess.org/tests/view/5f62434e912c15f19854b860
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 25808 W: 1565 L: 1401 D: 22842
Ptnml(0-2): 23, 1186, 10332, 1330, 33

closes https://github.com/official-stockfish/Stockfish/pull/3130

No functional change
2020-09-17 17:24:52 +02:00
Unai Corzo 64a63464d7 Simplify futility pruning for captures
STC https://tests.stockfishchess.org/tests/view/5f61f0e4b91f2ec371e429c2
LLR: 2.94 (-2.94,2.94) {-1.25,0.25}
Total: 75512 W: 8747 L: 8704 D: 58061
Ptnml(0-2): 440, 6589, 23683, 6576, 468

LTC https://tests.stockfishchess.org/tests/view/5f6215d3912c15f19854b801
LLR: 2.95 (-2.94,2.94) {-0.75,0.25}
Total: 92912 W: 5030 L: 4992 D: 82890
Ptnml(0-2): 88, 4363, 37532, 4369, 104

closes https://github.com/official-stockfish/Stockfish/pull/3129

bench: 3856086
2020-09-17 07:06:21 +02:00
Unai Corzo 0ca93c5b94 Remove castling extension
STC https://tests.stockfishchess.org/tests/view/5f5fa5348fbc1c8a3f476eca
LLR: 2.94 (-2.94,2.94) {-1.25,0.25}
Total: 38520 W: 4713 L: 4610 D: 29197
Ptnml(0-2): 233, 3486, 11734, 3559, 248

LTC https://tests.stockfishchess.org/tests/view/5f62166a912c15f19854b806
LLR: 2.93 (-2.94,2.94) {-0.75,0.25}
Total: 48024 W: 2673 L: 2600 D: 42751
Ptnml(0-2): 64, 2247, 19316, 2322, 63

closes https://github.com/official-stockfish/Stockfish/pull/3128

bench: 3818400
2020-09-17 07:06:21 +02:00
GoldenRare df43805953 Added FEN string to bench output
fixes https://github.com/official-stockfish/Stockfish/pull/3117

closes https://github.com/official-stockfish/Stockfish/pull/3118

No functional change
2020-09-17 07:06:21 +02:00
syzygy1 d86663af14 Improve NDK section in Makefile
This PR sets the "comp" variable simply to "clang",
which seems to be more consistent and allows a small simplification.

The PR also moves the section that sets "profile_make" and "profile_use" to after the NDK section,
which ensures that these variables are now set correctly for NDK/clang.

closes https://github.com/official-stockfish/Stockfish/pull/3121

No functional change
2020-09-16 21:00:14 +02:00
xoto10 5f426d8667 Use 2 * bestMoveChanges.
NNUE appears to provide a more stable eval than the classic eval,
so the time use dependencies on bestMoveChanges, fallingEval,
etc may need to change to make the best use of available time.
This change doubles the effect of totBestMoveChanges when giving
more time because the choice of best move is unstable.

STC:
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 101928 W: 11995 L: 11698 D: 78235 Elo +0.78
Ptnml(0-2): 592, 8707, 32103, 8936, 626
https://tests.stockfishchess.org/tests/view/5f538a462d02727c56b36cec

LTC:
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 186392 W: 10383 L: 9877 D: 166132 Elo +0.81
Ptnml(0-2): 207, 8370, 75539, 8870, 210
https://tests.stockfishchess.org/tests/view/5f54a9712d02727c56b36d5a

closes https://github.com/official-stockfish/Stockfish/pull/3119

Bench 4222126
2020-09-16 20:56:40 +02:00
Sergio Vieri 7135678f71 Update default net to nn-03744f8d56d8.nnue
Equivalent to 20200914-1520

closes https://github.com/official-stockfish/Stockfish/pull/3123

Bench: 4222126
2020-09-15 07:21:04 +02:00
mckx00 35ab8254b7 Simplify StatSCore Initialization
No need to initialize StatScore at rootNode. Current Logic is redundant because at subsequent levels the grandchildren statScore is initialized to zero.

closes https://github.com/official-stockfish/Stockfish/pull/3122

Non functional change.
2020-09-15 07:19:02 +02:00
SFisGOD 0405f35403 Double probability of using classical eval
This patch doubles the moderate imbalance threshold and probability of using classical eval.
So now if imbalance is greater than PawnValueMg / 4 then there is a 1/8 chance of using classical eval.

STC:
LLR: 2.93 (-2.94,2.94) {-0.25,1.25}
Total: 10984 W: 1303 L: 1140 D: 8541
Ptnml(0-2): 58, 867, 3489, 1010, 68
https://tests.stockfishchess.org/tests/view/5f554c9f97da2d5437d3813e

LTC:
LLR: 2.95 (-2.94,2.94) {0.25,1.25}
Total: 43064 W: 2476 L: 2276 D: 38312
Ptnml(0-2): 37, 1985, 17308, 2145, 57
https://tests.stockfishchess.org/tests/view/5f55690a00a0aa2ca79f0a43

closes https://github.com/official-stockfish/Stockfish/pull/3114

Bench: 4161067
2020-09-08 22:56:08 +02:00
Gian-Carlo Pascutto d2562cde12 Always re-enable NNUE after "bench".
Restore the default NNUE setting (enabled) after a bench command.
This also makes the resulting program settings independent of the
number of FENs that are being benched.

Fixes issue #3112.

closes https://github.com/official-stockfish/Stockfish/pull/3113

No functional change.
2020-09-08 22:53:50 +02:00
syzygy1 fc27d158c0 Bug fix in do_null_move() and NNUE simplification.
This fixes #3108 and removes some NNUE code that is currently not used.

At the moment, do_null_move() copies the accumulator from the previous
state into the new state, which is correct. It then clears the "computed_score"
flag because the side to move has changed, and with the other side to move
NNUE will return a completely different evaluation (normally with changed
sign but also with different NNUE-internal tempo bonus).

The problem is that do_null_move() clears the wrong flag. It clears the
computed_score flag of the old state, not of the new state. It turns out
that this almost never affects the search. For example, fixing it does not
change the current bench (but it does change the previous bench). This is
because the search code usually avoids calling evaluate() after a null move.

This PR corrects do_null_move() by removing the computed_score flag altogether.
The flag is not needed because nnue_evaluate() is never called twice on a position.

This PR also removes some unnecessary {}s and inserts a few blank lines
in the modified NNUE files in line with SF coding style.

Resulf ot STC non-regression test:
LLR: 2.95 (-2.94,2.94) {-1.25,0.25}
Total: 26328 W: 3118 L: 3012 D: 20198
Ptnml(0-2): 126, 2208, 8397, 2300, 133
https://tests.stockfishchess.org/tests/view/5f553ccc2d02727c56b36db1

closes https://github.com/official-stockfish/Stockfish/pull/3109

bench: 4109324
2020-09-08 22:53:17 +02:00
SFisGOD d539da19d2 Use classical eval more often
If there is a moderate imbalance, use classical eval with small probability (1/16),
as derived from the node counter.

STC:
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 32320 W: 3562 L: 3377 D: 25381
Ptnml(0-2): 144, 2609, 10478, 2776, 153
https://tests.stockfishchess.org/tests/view/5f520615ba100690c5cc5f80

LTC:
LLR: 2.95 (-2.94,2.94) {0.25,1.25}
Total: 21032 W: 1116 L: 974 D: 18942
Ptnml(0-2): 20, 837, 8664, 971, 24
https://tests.stockfishchess.org/tests/view/5f522eaaba100690c5cc5f8c

closes https://github.com/official-stockfish/Stockfish/pull/3107

Bench: 4109324
2020-09-04 18:58:34 +02:00
Vizvezdenec 9a063fc3cb Adjust penalty on refuted early quiet moves
This patch changes how previous early moves are penalized in case
search finds a best move. Here, the first quiet move that was not
a transposition table move is penalized.

passed STC
https://tests.stockfishchess.org/tests/view/5f51d839ba100690c5cc5f69
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 10088 W: 1150 L: 997 D: 7941
Ptnml(0-2): 41, 772, 3278, 899, 54

passed LTC
https://tests.stockfishchess.org/tests/view/5f51e435ba100690c5cc5f76
LLR: 2.93 (-2.94,2.94) {0.25,1.25}
Total: 30808 W: 1564 L: 1405 D: 27839
Ptnml(0-2): 19, 1245, 12717, 1404, 19

closes https://github.com/official-stockfish/Stockfish/pull/3106

bench 3983758
2020-09-04 18:52:46 +02:00
Sergio Vieri 9cc482c788 Update default net to nn-308d71810dff.nnue
equivalent to 20200903-1739

Net trained from scratch, so it has quite different features extracted compared to the previous net (82215d0fd0df).

STC:
LLR: 2.98 (-2.94,2.94) {-0.25,1.25}
Total: 108328 W: 14048 L: 13719 D: 80561
Ptnml(0-2): 842, 10039, 32062, 10390, 831
https://tests.stockfishchess.org/tests/view/5f50e053ba100690c5cc5f00

LTC:
LLR: 2.96 (-2.94,2.94) {0.25,1.25}
Total: 13872 W: 1059 L: 890 D: 11923
Ptnml(0-2): 30, 724, 5270, 871, 41
https://tests.stockfishchess.org/tests/view/5f51821fba100690c5cc5f36

closes https://github.com/official-stockfish/Stockfish/pull/3104

Bench: 3832716
2020-09-04 08:03:43 +02:00
VoyagerOne 2a69611509 LMR Simplification
remove reduction at non-check cut nodes for second move at low depths

STC:
LLR: 2.95 (-2.94,2.94) {-1.25,0.25}
Total: 61712 W: 6594 L: 6543 D: 48575
Ptnml(0-2): 293, 5085, 20082, 5070, 326
https://tests.stockfishchess.org/tests/view/5f5007d6ba100690c5cc5ea9

LTC:
LLR: 2.94 (-2.94,2.94) {-0.75,0.25}
Total: 57544 W: 2983 L: 2925 D: 51636
Ptnml(0-2): 47, 2568, 23495, 2604, 58
https://tests.stockfishchess.org/tests/view/5f50c597ba100690c5cc5ef7

closes https://github.com/official-stockfish/Stockfish/pull/3103

Bench: 3952302
2020-09-04 08:00:45 +02:00
Unai Corzo d6530f7d49 Simplify singularQuietLMR
remove formerPV dependence

STC https://tests.stockfishchess.org/tests/view/5f4cb922ba100690c5cc5d35
LLR: 2.96 (-2.94,2.94) {-1.25,0.25}
Total: 113672 W: 12347 L: 12368 D: 88957
Ptnml(0-2): 566, 9537, 36699, 9420, 614

LTC https://tests.stockfishchess.org/tests/view/5f4e8474ba100690c5cc5e12
LLR: 2.93 (-2.94,2.94) {-0.75,0.25}
Total: 43032 W: 2298 L: 2227 D: 38507
Ptnml(0-2): 45, 1940, 17475, 2011, 45

closes https://github.com/official-stockfish/Stockfish/pull/3102

bench: 3290084
2020-09-04 07:58:13 +02:00
Unai Corzo 0e1f734b05 Less pruning in qsearch
do not prune moves that give discovery checks, even if with negative SSE.

STC https://tests.stockfishchess.org/tests/view/5f4cb5e8ba100690c5cc5d25
LLR: 2.96 (-2.94,2.94) {-0.25,1.25}
Total: 91328 W: 9940 L: 9667 D: 71721
Ptnml(0-2): 491, 7345, 29693, 7670, 465

LTC https://tests.stockfishchess.org/tests/view/5f4dbc2eba100690c5cc5dac
LLR: 2.97 (-2.94,2.94) {0.25,1.25}
Total: 52448 W: 2799 L: 2586 D: 47063
Ptnml(0-2): 53, 2220, 21459, 2445, 47

closes https://github.com/official-stockfish/Stockfish/pull/3098

bench: 4031192
2020-09-04 07:55:41 +02:00
Joost VandeVondele 571c2d6d8d Restore development version
have fun!

No functional change
2020-09-04 07:46:06 +02:00
65 changed files with 3469 additions and 2542 deletions
+201
View File
@@ -0,0 +1,201 @@
name: Stockfish
on:
push:
branches:
- master
- tools
- github_ci
pull_request:
branches:
- master
- tools
jobs:
Stockfish:
name: ${{ matrix.config.name }}
runs-on: ${{ matrix.config.os }}
env:
COMPILER: ${{ matrix.config.compiler }}
COMP: ${{ matrix.config.comp }}
CXXFLAGS: "-Werror"
strategy:
matrix:
config:
- {
name: "Ubuntu 20.04 GCC",
os: ubuntu-20.04,
compiler: g++,
comp: gcc,
run_expensive_tests: true
}
- {
name: "Ubuntu 20.04 Clang",
os: ubuntu-20.04,
compiler: clang++,
comp: clang,
run_expensive_tests: false
}
defaults:
run:
working-directory: src
steps:
- uses: actions/checkout@v2
with:
fetch-depth: 0
- name: Download required packages
run: |
sudo apt update
sudo apt install expect valgrind g++-multilib
- name: Download the used network from the fishtest framework
run: |
make net
- name: Extract the bench number from the commit history
run: |
git log HEAD | grep "\b[Bb]ench[ :]\+[0-9]\{7\}" | head -n 1 | sed "s/[^0-9]*\([0-9]*\).*/\1/g" > git_sig
[ -s git_sig ] && echo "benchref=$(cat git_sig)" >> $GITHUB_ENV && echo "Reference bench:" $(cat git_sig) || echo "No bench found"
- name: Check compiler
run: |
$COMPILER -v
- name: Test help target
run: |
make help
# x86-32 tests
- name: Test debug x86-32 build
run: |
export CXXFLAGS="-Werror -D_GLIBCXX_DEBUG"
make clean
make -j2 ARCH=x86-32 optimize=no debug=yes build
../tests/signature.sh $benchref
- name: Test x86-32 build
run: |
make clean
make -j2 ARCH=x86-32 build
../tests/signature.sh $benchref
- name: Test x86-32-sse41-popcnt build
run: |
make clean
make -j2 ARCH=x86-32-sse41-popcnt build
../tests/signature.sh $benchref
- name: Test x86-32-sse2 build
run: |
make clean
make -j2 ARCH=x86-32-sse2 build
../tests/signature.sh $benchref
- name: Test general-32 build
run: |
make clean
make -j2 ARCH=general-32 build
../tests/signature.sh $benchref
# x86-64 tests
- name: Test debug x86-64-modern build
run: |
export CXXFLAGS="-Werror -D_GLIBCXX_DEBUG"
make clean
make -j2 ARCH=x86-64-modern optimize=no debug=yes build
../tests/signature.sh $benchref
- name: Test x86-64-modern build
run: |
make clean
make -j2 ARCH=x86-64-modern build
../tests/signature.sh $benchref
- name: Test x86-64-ssse3 build
run: |
make clean
make -j2 ARCH=x86-64-ssse3 build
../tests/signature.sh $benchref
- name: Test x86-64-sse3-popcnt build
run: |
make clean
make -j2 ARCH=x86-64-sse3-popcnt build
../tests/signature.sh $benchref
- name: Test x86-64 build
run: |
make clean
make -j2 ARCH=x86-64 build
../tests/signature.sh $benchref
- name: Test general-64 build
run: |
make clean
make -j2 ARCH=general-64 build
../tests/signature.sh $benchref
# 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
# Other tests
- name: Check perft and search reproducibility
run: |
make clean
make -j2 ARCH=x86-64-modern build
../tests/perft.sh
../tests/reprosearch.sh
# Sanitizers
- name: Run under valgrind
if: ${{ matrix.config.run_expensive_tests }}
run: |
export CXXFLAGS="-O1 -fno-inline"
make clean
make -j2 ARCH=x86-64-modern debug=yes optimize=no build > /dev/null
../tests/instrumented.sh --valgrind
../tests/instrumented.sh --valgrind-thread
- name: Run with UB sanitizer
if: ${{ matrix.config.run_expensive_tests }}
run: |
export CXXFLAGS="-O1 -fno-inline"
make clean
make -j2 ARCH=x86-64-modern sanitize=undefined optimize=no debug=yes build > /dev/null
../tests/instrumented.sh --sanitizer-undefined
- name: Run with thread sanitizer
if: ${{ matrix.config.run_expensive_tests }}
run: |
export CXXFLAGS="-O1 -fno-inline"
make clean
make -j2 ARCH=x86-64-modern sanitize=thread optimize=no debug=yes build > /dev/null
../tests/instrumented.sh --sanitizer-thread
+12
View File
@@ -0,0 +1,12 @@
# Files from build
**/*.o
**/*.s
src/.depend
# Built binary
src/stockfish*
src/-lstdc++.res
# Neural network for the NNUE evaluation
**/*.nnue
-101
View File
@@ -1,101 +0,0 @@
language: cpp
dist: bionic
matrix:
include:
- os: linux
compiler: gcc
addons:
apt:
packages: ['g++-8', 'g++-8-multilib', 'g++-multilib', 'valgrind', 'expect', 'curl']
env:
- COMPILER=g++-8
- COMP=gcc
- os: linux
compiler: clang
addons:
apt:
packages: ['clang-10', 'llvm-10-dev', 'g++-multilib', 'valgrind', 'expect', 'curl']
env:
- COMPILER=clang++-10
- COMP=clang
- os: osx
osx_image: xcode12
compiler: gcc
env:
- COMPILER=g++
- COMP=gcc
- os: osx
osx_image: xcode12
compiler: clang
env:
- COMPILER=clang++
- COMP=clang
branches:
only:
- master
before_script:
- cd src
script:
# Download net
- make net
# Obtain bench reference from git log
- git log HEAD | grep "\b[Bb]ench[ :]\+[0-9]\{7\}" | head -n 1 | sed "s/[^0-9]*\([0-9]*\).*/\1/g" > git_sig
- export benchref=$(cat git_sig)
- echo "Reference bench:" $benchref
# Compiler version string
- $COMPILER -v
# test help target
- make help
# Verify bench number against various builds
- export CXXFLAGS="-Werror -D_GLIBCXX_DEBUG"
- make clean && make -j2 ARCH=x86-64-modern optimize=no debug=yes build && ../tests/signature.sh $benchref
- export CXXFLAGS="-Werror"
- make clean && make -j2 ARCH=x86-64-modern build && ../tests/signature.sh $benchref
- make clean && make -j2 ARCH=x86-64-ssse3 build && ../tests/signature.sh $benchref
- make clean && make -j2 ARCH=x86-64-sse3-popcnt build && ../tests/signature.sh $benchref
- make clean && make -j2 ARCH=x86-64 build && ../tests/signature.sh $benchref
- if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then make clean && make -j2 ARCH=general-64 build && ../tests/signature.sh $benchref; fi
- if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then make clean && make -j2 ARCH=x86-32 optimize=no debug=yes build && ../tests/signature.sh $benchref; fi
- if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then make clean && make -j2 ARCH=x86-32-sse41-popcnt build && ../tests/signature.sh $benchref; fi
- if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then make clean && make -j2 ARCH=x86-32-sse2 build && ../tests/signature.sh $benchref; fi
- if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then make clean && make -j2 ARCH=x86-32 build && ../tests/signature.sh $benchref; fi
- if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then make clean && make -j2 ARCH=general-32 build && ../tests/signature.sh $benchref; fi
# workaround: exclude a custom version of llvm+clang, which doesn't find llvm-profdata on ubuntu
- if [[ "$TRAVIS_OS_NAME" != "linux" || "$COMP" == "gcc" ]]; then make clean && make -j2 ARCH=x86-64-modern profile-build && ../tests/signature.sh $benchref; fi
# compile only for some more advanced architectures (might not run in travis)
- make clean && make -j2 ARCH=x86-64-avx2 build
- make clean && make -j2 ARCH=x86-64-bmi2 build
- make clean && make -j2 ARCH=x86-64-avx512 build
- make clean && make -j2 ARCH=x86-64-vnni512 build
- make clean && make -j2 ARCH=x86-64-vnni256 build
#
# Check perft and reproducible search
- make clean && make -j2 ARCH=x86-64-modern build
- ../tests/perft.sh
- ../tests/reprosearch.sh
#
# Valgrind
#
- export CXXFLAGS="-O1 -fno-inline"
- if [ -x "$(command -v valgrind )" ]; then make clean && make -j2 ARCH=x86-64-modern debug=yes optimize=no build > /dev/null && ../tests/instrumented.sh --valgrind; fi
- if [ -x "$(command -v valgrind )" ]; then ../tests/instrumented.sh --valgrind-thread; fi
#
# Sanitizer
#
- if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then make clean && make -j2 ARCH=x86-64-modern sanitize=undefined optimize=no debug=yes build > /dev/null && ../tests/instrumented.sh --sanitizer-undefined; fi
- if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then make clean && make -j2 ARCH=x86-64-modern sanitize=thread optimize=no debug=yes build > /dev/null && ../tests/instrumented.sh --sanitizer-thread; fi
+15 -2
View File
@@ -1,4 +1,4 @@
# List of authors for Stockfish, as of August 4, 2020
# List of authors for Stockfish, as of June 14, 2021
# Founders of the Stockfish project and fishtest infrastructure
Tord Romstad (romstad)
@@ -19,12 +19,15 @@ Alain Savard (Rocky640)
Alayan Feh (Alayan-stk-2)
Alexander Kure
Alexander Pagel (Lolligerhans)
Alfredo Menezes (lonfom169)
Ali AlZhrani (Cooffe)
Andrew Grant (AndyGrant)
Andrey Neporada (nepal)
Andy Duplain
Antoine Champion (antoinechampion)
Aram Tumanian (atumanian)
Arjun Temurnikar
Artem Solopiy (EntityFX)
Auguste Pop
Balint Pfliegel
Ben Koshy (BKSpurgeon)
@@ -32,6 +35,7 @@ Bill Henry (VoyagerOne)
Bojun Guo (noobpwnftw, Nooby)
braich
Brian Sheppard (SapphireBrand, briansheppard-toast)
Bruno de Melo Costa (BM123499)
Bryan Cross (crossbr)
candirufish
Chess13234
@@ -43,9 +47,12 @@ Daniel Dugovic (ddugovic)
Dariusz Orzechowski (dorzechowski)
David Zar
Daylen Yang (daylen)
Deshawn Mohan-Smith (GoldenRare)
Dieter Dobbelaere (ddobbelaere)
DiscanX
Dominik Schlösser (domschl)
double-beep
Douglas Matos Gomes (dsmsgms)
Eduardo Cáceres (eduherminio)
Eelco de Groot (KingDefender)
Elvin Liu (solarlight2)
@@ -84,11 +91,12 @@ Jekaa
Jerry Donald Watson (jerrydonaldwatson)
jjoshua2
Jonathan Calovski (Mysseno)
Jonathan Dumale (SFisGOD)
Jonathan Buladas Dumale (SFisGOD)
Joost VandeVondele (vondele)
Jörg Oster (joergoster)
Joseph Ellis (jhellis3)
Joseph R. Prostko
Julian Willemer (NightlyKing)
jundery
Justin Blanchard (UncombedCoconut)
Kelly Wilson
@@ -96,6 +104,7 @@ Ken Takusagawa
kinderchocolate
Kiran Panditrao (Krgp)
Kojirion
Krystian Kuzniarek (kuzkry)
Leonardo Ljubičić (ICCF World Champion)
Leonid Pechenik (lp--)
Linus Arver (listx)
@@ -108,8 +117,10 @@ Maciej Żenczykowski (zenczykowski)
Malcolm Campbell (xoto10)
Mark Tenzer (31m059)
marotear
Matt Ginsberg (mattginsberg)
Matthew Lai (matthewlai)
Matthew Sullivan (Matt14916)
Maxim Molchanov (Maxim)
Michael An (man)
Michael Byrne (MichaelB7)
Michael Chaly (Vizvezdenec)
@@ -160,10 +171,12 @@ Sergio Vieri (sergiovieri)
sf-x
Shane Booth (shane31)
Shawn Varghese (xXH4CKST3RXx)
Siad Daboul (Topologist)
Stefan Geschwentner (locutus2)
Stefano Cardanobile (Stefano80)
Steinar Gunderson (sesse)
Stéphane Nicolet (snicolet)
Prokop Randáček (ProkopRandacek)
Thanar2
thaspel
theo77186
+99 -68
View File
@@ -1,6 +1,6 @@
## Overview
[![Build Status](https://travis-ci.org/official-stockfish/Stockfish.svg?branch=master)](https://travis-ci.org/official-stockfish/Stockfish)
[![Build Status](https://github.com/official-stockfish/Stockfish/actions/workflows/stockfish.yml/badge.svg)](https://github.com/official-stockfish/Stockfish/actions)
[![Build Status](https://ci.appveyor.com/api/projects/status/github/official-stockfish/Stockfish?branch=master&svg=true)](https://ci.appveyor.com/project/mcostalba/stockfish/branch/master)
[Stockfish](https://stockfishchess.org) is a free, powerful UCI chess engine
@@ -12,7 +12,7 @@ about how to use Stockfish with it.
The Stockfish engine features two evaluation functions for chess, the classical
evaluation based on handcrafted terms, and the NNUE evaluation based on efficiently
updateable neural networks. The classical evaluation runs efficiently on almost all
updatable neural networks. The classical evaluation runs efficiently on almost all
CPU architectures, while the NNUE evaluation benefits from the vector
intrinsics available on most CPUs (sse2, avx2, neon, or similar).
@@ -21,30 +21,28 @@ intrinsics available on most CPUs (sse2, avx2, neon, or similar).
This distribution of Stockfish consists of the following files:
* Readme.md, the file you are currently reading.
* [Readme.md](https://github.com/official-stockfish/Stockfish/blob/master/README.md), the file you are currently reading.
* Copying.txt, a text file containing the GNU General Public License version 3.
* [Copying.txt](https://github.com/official-stockfish/Stockfish/blob/master/Copying.txt), a text file containing the GNU General Public License version 3.
* src, a subdirectory containing the full source code, including a Makefile
* [AUTHORS](https://github.com/official-stockfish/Stockfish/blob/master/AUTHORS), a text file with the list of authors for the project
* [src](https://github.com/official-stockfish/Stockfish/tree/master/src), a subdirectory containing the full source code, including a Makefile
that can be used to compile Stockfish on Unix-like systems.
* a file with the .nnue extension, storing the neural network for the NNUE
evaluation. Binary distributions will have this file embedded.
Note: to use the NNUE evaluation, the additional data file with neural network parameters
needs to be available. Normally, this file is already embedded in the binary or it can be downloaded.
The filename for the default (recommended) net can be found as the default
value of the `EvalFile` UCI option, with the format `nn-[SHA256 first 12 digits].nnue`
(for instance, `nn-c157e0a5755b.nnue`). This file can be downloaded from
```
https://tests.stockfishchess.org/api/nn/[filename]
```
replacing `[filename]` as needed.
## The UCI protocol and available options
The Universal Chess Interface (UCI) is a standard 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 it options as described
in [the UCI protocol](https://www.shredderchess.com/download/div/uci.zip).
## UCI options
Currently, Stockfish has the following UCI options:
Developers can see the default values for UCI options available in Stockfish by typing
`./stockfish uci` in a terminal, but the majority of users will typically see them and
change them via a chess GUI. This is a list of available UCI options in Stockfish:
* #### Threads
The number of CPU threads used for searching a position. For best performance, set
@@ -53,6 +51,9 @@ Currently, Stockfish has the following UCI options:
* #### Hash
The size of the hash table in MB. It is recommended to set Hash after setting Threads.
* #### Clear Hash
Clear the hash table.
* #### Ponder
Let Stockfish ponder its next move while the opponent is thinking.
@@ -108,8 +109,8 @@ Currently, Stockfish has the following UCI options:
* #### SyzygyProbeDepth
Minimum remaining search depth for which a position is probed. Set this option
to a higher value to probe less agressively if you experience too much slowdown
(in terms of nps) due to TB probing.
to a higher value to probe less aggressively if you experience too much slowdown
(in terms of nps) due to tablebase probing.
* #### Syzygy50MoveRule
Disable to let fifty-move rule draws detected by Syzygy tablebase probes count
@@ -119,14 +120,6 @@ Currently, Stockfish has the following UCI options:
Limit Syzygy tablebase probing to positions with at most this many pieces left
(including kings and pawns).
* #### Contempt
A positive value for contempt favors middle game positions and avoids draws,
effective for the classical evaluation only.
* #### Analysis Contempt
By default, contempt is set to prefer the side to move. Set this option to "White"
or "Black" to analyse with contempt for that side, or "Off" to disable contempt.
* #### Move Overhead
Assume a time delay of x ms due to network and GUI overheads. This is useful to
avoid losses on time in those cases.
@@ -139,42 +132,78 @@ Currently, Stockfish has the following UCI options:
Tells the engine to use nodes searched instead of wall time to account for
elapsed time. Useful for engine testing.
* #### Clear Hash
Clear the hash table.
* #### Debug Log File
Write all communication to and from the engine into a text file.
## A note on classical and NNUE evaluation
For developers the following non-standard commands might be of interest, mainly useful for debugging:
* #### bench *ttSize threads limit fenFile limitType evalType*
Performs a standard benchmark using various options. The signature of a version (standard node
count) is obtained using all defaults. `bench` is currently `bench 16 1 13 default depth mixed`.
* #### compiler
Give information about the compiler and environment used for building a binary.
* #### d
Display the current position, with ascii art and fen.
* #### eval
Return the evaluation of the current position.
* #### export_net [filename]
Exports the currently loaded network to a file.
If the currently loaded network is the embedded network and the filename
is not specified then the network is saved to the file matching the name
of the embedded network, as defined in evaluate.h.
If the currently loaded network is not the embedded network (some net set
through the UCI setoption) then the filename parameter is required and the
network is saved into that file.
* #### flip
Flips the side to move.
## A note on classical evaluation versus NNUE evaluation
Both approaches assign a value to a position that is used in alpha-beta (PVS) search
to find the best move. The classical evaluation computes this value as a function
of various chess concepts, handcrafted by experts, tested and tuned using fishtest.
The NNUE evaluation computes this value with a neural network based on basic
inputs (e.g. piece positions only). The network is optimized and trained
on the evalutions of millions of positions at moderate search depth.
on the evaluations of millions of positions at moderate search depth.
The NNUE evaluation was first introduced in shogi, and ported to Stockfish afterward.
It can be evaluated efficiently on CPUs, and exploits the fact that only parts
of the neural network need to be updated after a typical chess move.
[The nodchip repository](https://github.com/nodchip/Stockfish) provides additional
tools to train and develop the NNUE networks.
tools to train and develop the NNUE networks. On CPUs supporting modern vector instructions
(avx2 and similar), the NNUE evaluation results in much stronger playing strength, even
if the nodes per second computed by the engine is somewhat lower (roughly 80% of nps
is typical).
On CPUs supporting modern vector instructions (avx2 and similar), the NNUE evaluation
results in stronger playing strength, even if the nodes per second computed by the engine
is somewhat lower (roughly 60% of nps is typical).
Notes:
Note that the NNUE evaluation depends on the Stockfish binary and the network parameter
file (see EvalFile). Not every parameter file is compatible with a given Stockfish binary.
The default value of the EvalFile UCI option is the name of a network that is guaranteed
to be compatible with that binary.
1) the NNUE evaluation depends on the Stockfish binary and the network parameter
file (see the EvalFile UCI option). Not every parameter file is compatible with a given
Stockfish binary, but the default value of the EvalFile UCI option is the name of a network
that is guaranteed to be compatible with that binary.
## What to expect from Syzygybases?
2) to use the NNUE evaluation, the additional data file with neural network parameters
needs to be available. Normally, this file is already embedded in the binary or it
can be downloaded. The filename for the default (recommended) net can be found as the default
value of the `EvalFile` UCI option, with the format `nn-[SHA256 first 12 digits].nnue`
(for instance, `nn-c157e0a5755b.nnue`). This file can be downloaded from
```
https://tests.stockfishchess.org/api/nn/[filename]
```
replacing `[filename]` as needed.
## What to expect from the Syzygy tablebases?
If the engine is searching a position that is not in the tablebases (e.g.
a position with 8 pieces), it will access the tablebases during the search.
If the engine reports a very large score (typically 153.xx), this means
that it has found a winning line into a tablebase position.
it has found a winning line into a tablebase position.
If the engine is given a position to search that is in the tablebases, it
will use the tablebases at the beginning of the search to preselect all
@@ -182,14 +211,14 @@ good moves, i.e. all moves that preserve the win or preserve the draw while
taking into account the 50-move rule.
It will then perform a search only on those moves. **The engine will not move
immediately**, unless there is only a single good move. **The engine likely
will not report a mate score even if the position is known to be won.**
will not report a mate score, even if the position is known to be won.**
It is therefore clear that this behaviour is not identical to what one might
be used to with Nalimov tablebases. There are technical reasons for this
difference, the main technical reason being that Nalimov tablebases use the
DTM metric (distance-to-mate), while Syzygybases use a variation of the
DTM metric (distance-to-mate), while the Syzygy tablebases use a variation of the
DTZ metric (distance-to-zero, zero meaning any move that resets the 50-move
counter). This special metric is one of the reasons that Syzygybases are
counter). This special metric is one of the reasons that the Syzygy tablebases are
more compact than Nalimov tablebases, while still storing all information
needed for optimal play and in addition being able to take into account
the 50-move rule.
@@ -198,8 +227,8 @@ the 50-move rule.
Stockfish supports large pages on Linux and Windows. Large pages make
the hash access more efficient, improving the engine speed, especially
on large hash sizes. Typical increases are 5..10% in terms of nps, but
speed increases up to 30% have been measured. The support is
on large hash sizes. Typical increases are 5..10% in terms of nodes per
second, but speed increases up to 30% have been measured. The support is
automatic. Stockfish attempts to use large pages when available and
will fall back to regular memory allocation when this is not the case.
@@ -207,17 +236,17 @@ will fall back to regular memory allocation when this is not the case.
Large page support on Linux is obtained by the Linux kernel
transparent huge pages functionality. Typically, transparent huge pages
are already enabled and no configuration is needed.
are already enabled, and no configuration is needed.
### Support on Windows
The use of large pages requires "Lock Pages in Memory" privilege. See
[Enable the Lock Pages in Memory Option (Windows)](https://docs.microsoft.com/en-us/sql/database-engine/configure-windows/enable-the-lock-pages-in-memory-option-windows)
on how to enable this privilege. Logout/login may be needed
afterwards. Due to memory fragmentation, it may not always be
possible to allocate large pages even when enabled. A reboot
might alleviate this problem. To determine whether large pages
are in use, see the engine log.
on how to enable this privilege, then run [RAMMap](https://docs.microsoft.com/en-us/sysinternals/downloads/rammap)
to double-check that large pages are used. We suggest that you reboot
your computer after you have enabled large pages, because long Windows
sessions suffer from memory fragmentation, which may prevent Stockfish
from getting large pages: a fresh session is better in this regard.
## Compiling Stockfish yourself from the sources
@@ -232,17 +261,17 @@ targets with corresponding descriptions.
```
cd src
make help
make build ARCH=x86-64-modern
make net
make build ARCH=x86-64-modern
```
When not using the Makefile to compile (for instance with Microsoft MSVC) you
When not using the Makefile to compile (for instance, with Microsoft MSVC) you
need to manually set/unset some switches in the compiler command line; see
file *types.h* for a quick reference.
When reporting an issue or a bug, please tell us which version and
compiler you used to create your executable. These informations can
be found by typing the following commands in a console:
When reporting an issue or a bug, please tell us which Stockfish version
and which compiler you used to create your executable. This information
can be found by typing the following command in a console:
```
./stockfish compiler
@@ -250,8 +279,8 @@ be found by typing the following commands in a console:
## Understanding the code base and participating in the project
Stockfish's improvement over the last couple of years has been a great
community effort. There are a few ways to help contribute to its growth.
Stockfish's improvement over the last decade has been a great community
effort. There are a few ways to help contribute to its growth.
### Donating hardware
@@ -272,8 +301,9 @@ generic rather than being focused on Stockfish's precise implementation.
Nevertheless, a helpful resource.
* The latest source can always be found on [GitHub](https://github.com/official-stockfish/Stockfish).
Discussions about Stockfish take place in the [FishCooking](https://groups.google.com/forum/#!forum/fishcooking)
group and engine testing is done on [Fishtest](https://tests.stockfishchess.org/tests).
Discussions about Stockfish take place these days mainly in the [FishCooking](https://groups.google.com/forum/#!forum/fishcooking)
group and on the [Stockfish Discord channel](https://discord.gg/nv8gDtt).
The engine testing is done on [Fishtest](https://tests.stockfishchess.org/tests).
If you want to help improve Stockfish, please read this [guideline](https://github.com/glinscott/fishtest/wiki/Creating-my-first-test)
first, where the basics of Stockfish development are explained.
@@ -281,16 +311,17 @@ first, where the basics of Stockfish development are explained.
## Terms of use
Stockfish is free, and distributed under the **GNU General Public License version 3**
(GPL v3). Essentially, this means that you are free to do almost exactly
(GPL v3). Essentially, this means you are free to do almost exactly
what you want with the program, including distributing it among your
friends, making it available for download from your web site, selling
friends, making it available for download from your website, selling
it (either by itself or as part of some bigger software package), or
using it as the starting point for a software project of your own.
The only real limitation is that whenever you distribute Stockfish in
some way, you must always include the full source code, or a pointer
to where the source code can be found. If you make any changes to the
source code, these changes must also be made available under the GPL.
some way, you MUST always include the full source code, or a pointer
to where the source code can be found, to generate the exact binary
you are distributing. If you make any changes to the source code,
these changes must also be made available under the GPL.
For full details, read the copy of the GPL v3 found in the file named
*Copying.txt*.
[*Copying.txt*](https://github.com/official-stockfish/Stockfish/blob/master/Copying.txt).
+203 -171
View File
@@ -1,173 +1,205 @@
Contributors with >10,000 CPU hours as of Sept 2, 2020
Contributors to Fishtest with >10,000 CPU hours, as of Jun 29, 2021.
Thank you!
Username CPU Hours Games played
--------------------------------------------------
noobpwnftw 19352969 1231459677
mlang 957168 61657446
dew 949885 56893432
mibere 703817 46865007
crunchy 427035 27344275
cw 416006 27521077
JojoM 415904 24479564
fastgm 404873 23953472
CSU_Dynasty 335774 22850550
tvijlbrief 335199 21871270
Fisherman 325053 21786603
gvreuls 311480 20751516
ctoks 275877 18710423
velislav 241267 15596372
glinscott 217799 13780820
nordlandia 211692 13484886
bcross 206213 14934233
bking_US 198894 11876016
leszek 189170 11446821
mgrabiak 183896 11778092
drabel 181408 12489478
TueRens 181349 12192000
Thanar 179852 12365359
vdv 175171 9881246
robal 166948 10702862
spams 157128 10319326
marrco 149947 9376421
sqrt2 147963 9724586
vdbergh 137041 8926915
CoffeeOne 136294 5004100
malala 136182 8002293
mhoram 128934 8177193
davar 122092 7960001
dsmith 122059 7570238
xoto 119696 8222144
grandphish2 116481 7582197
Data 113305 8220352
BrunoBanani 112960 7436849
ElbertoOne 99028 7023771
MaZePallas 98571 6362619
brabos 92118 6186135
psk 89957 5984901
sunu 88463 6007033
sterni1971 86948 5613788
Vizvezdenec 83752 5343724
BRAVONE 81239 5054681
nssy 76497 5259388
teddybaer 75125 5407666
Pking_cda 73776 5293873
jromang 70695 4940891
solarlight 70517 5028306
dv8silencer 70287 3883992
Bobo1239 68515 4652287
racerschmacer 67468 4935996
manap 66273 4121774
tinker 63458 4213726
linrock 59082 4516053
robnjr 57262 4053117
Freja 56938 3733019
ttruscott 56005 3679485
renouve 53811 3501516
cuistot 52532 3014920
finfish 51360 3370515
eva42 51272 3599691
rkl 50759 3840947
rap 49985 3219146
pb00067 49727 3298270
ronaldjerum 47654 3240695
bigpen0r 47278 3291647
biffhero 46564 3111352
VoyagerOne 45386 3445881
speedycpu 43842 3003273
jbwiebe 43305 2805433
Antihistamine 41788 2761312
mhunt 41735 2691355
eastorwest 40387 2812173
homyur 39893 2850481
gri 39871 2515779
oryx 38228 2941656
0x3C33 37773 2529097
SC 37290 2731014
csnodgrass 36207 2688994
jmdana 36108 2205261
strelock 34716 2074055
Garf 33800 2747562
EthanOConnor 33370 2090311
slakovv 32915 2021889
Spprtr 32591 2139601
Prcuvu 30377 2170122
anst 30301 2190091
jkiiski 30136 1904470
hyperbolic.tom 29840 2017394
Pyafue 29650 1902349
OuaisBla 27629 1578000
chriswk 26902 1868317
achambord 26582 1767323
Patrick_G 26276 1801617
yorkman 26193 1992080
SFTUser 25182 1675689
nabildanial 24942 1519409
Sharaf_DG 24765 1786697
ncfish1 24411 1520927
agg177 23890 1395014
JanErik 23408 1703875
Isidor 23388 1680691
Norabor 22976 1587862
cisco2015 22880 1759669
Zirie 22542 1472937
team-oh 22272 1636708
MazeOfGalious 21978 1629593
sg4032 21945 1643065
ianh2105 21725 1632562
xor12 21628 1680365
dex 21612 1467203
nesoneg 21494 1463031
horst.prack 20878 1465656
0xB00B1ES 20590 1208666
j3corre 20405 941444
Adrian.Schmidt123 20316 1281436
wei 19973 1745989
rstoesser 19569 1293588
eudhan 19274 1283717
Ente 19070 1373058
jundery 18445 1115855
iisiraider 18247 1101015
ville 17883 1384026
chris 17698 1487385
purplefishies 17595 1092533
DragonLord 17014 1162790
dju 16515 929427
IgorLeMasson 16064 1147232
ako027ako 15671 1173203
Nikolay.IT 15154 1068349
Andrew Grant 15114 895539
yurikvelo 15027 1165616
OssumOpossum 14857 1007129
enedene 14476 905279
bpfliegel 14298 884523
jpulman 13982 870599
joster 13794 950160
Nesa92 13786 1114691
Dark_wizzie 13422 1007152
Hjax 13350 900887
Fifis 13313 965473
mabichito 12903 749391
thijsk 12886 722107
crocogoat 12876 1048802
AdrianSA 12860 804972
Flopzee 12698 894821
fatmurphy 12547 853210
SapphireBrand 12416 969604
modolief 12386 896470
scuzzi 12362 833465
pgontarz 12151 848794
stocky 11954 699440
mschmidt 11941 803401
infinity 11470 727027
torbjo 11387 728873
Thomas A. Anderson 11372 732094
snicolet 11106 869170
amicic 10779 733593
rpngn 10712 688203
d64 10680 771144
basepi 10637 744851
jjoshua2 10559 670905
dzjp 10343 732529
ols 10259 570669
lbraesch 10252 647825
Username CPU Hours Games played
-----------------------------------------------------
noobpwnftw 27649494 1834734733
mlang 1426107 89454622
dew 1380910 82831648
mibere 703840 46867607
grandphish2 692707 41737913
tvijlbrief 669642 42371594
JojoM 597778 35297180
TueRens 519226 31823562
cw 458421 30307421
fastgm 439667 25950040
gvreuls 436599 28177460
crunchy 427035 27344275
CSU_Dynasty 374765 25106278
Fisherman 326901 21822979
ctoks 325477 21767943
velislav 295343 18844324
linrock 292789 10624427
bcross 278584 19488961
okrout 262818 13803272
pemo 245982 11376085
glinscott 217799 13780820
leszek 212346 12959025
nordlandia 211692 13484886
bking_US 198894 11876016
drabel 196463 13450602
robal 195473 12375650
mgrabiak 187226 12016564
Dantist 183202 10990484
Thanar 179852 12365359
vdv 175274 9889046
spams 157128 10319326
marrco 150295 9402141
sqrt2 147963 9724586
mhoram 141278 8901241
CoffeeOne 137100 5024116
vdbergh 137041 8926915
malala 136182 8002293
xoto 133702 9156676
davar 122092 7960001
dsmith 122059 7570238
Data 113305 8220352
BrunoBanani 112960 7436849
MaZePallas 102823 6633619
sterni1971 100532 5880772
ElbertoOne 99028 7023771
brabos 92118 6186135
oz 92100 6486640
psk 89957 5984901
amicic 89156 5392305
sunu 88851 6028873
Vizvezdenec 83761 5344740
0x3C33 82614 5271253
BRAVONE 81239 5054681
racerschmacer 80899 5759262
cuistot 80300 4606144
nssy 76497 5259388
teddybaer 75125 5407666
Pking_cda 73776 5293873
jromang 72192 5057715
solarlight 70517 5028306
dv8silencer 70287 3883992
Bobo1239 68515 4652287
manap 66273 4121774
skiminki 65088 4023328
tinker 64333 4268790
sschnee 60767 3500800
qurashee 57344 3168264
robnjr 57262 4053117
Freja 56938 3733019
ttruscott 56010 3680085
rkl 55132 4164467
renouve 53811 3501516
finfish 51360 3370515
eva42 51272 3599691
rap 49985 3219146
pb00067 49727 3298270
ronaldjerum 47654 3240695
bigpen0r 47653 3335327
eastorwest 47585 3221629
biffhero 46564 3111352
VoyagerOne 45476 3452465
yurikvelo 44834 3034550
speedycpu 43842 3003273
jbwiebe 43305 2805433
Spprtr 42279 2680153
DesolatedDodo 42007 2447516
Antihistamine 41788 2761312
mhunt 41735 2691355
homyur 39893 2850481
gri 39871 2515779
Fifis 38776 2529121
oryx 38724 2966648
SC 37290 2731014
csnodgrass 36207 2688994
jmdana 36157 2210661
strelock 34716 2074055
rpngn 33951 2057395
Garf 33922 2751802
EthanOConnor 33370 2090311
slakovv 32915 2021889
manapbk 30987 1810399
Prcuvu 30377 2170122
anst 30301 2190091
jkiiski 30136 1904470
hyperbolic.tom 29840 2017394
Pyafue 29650 1902349
Wolfgang 29260 1658936
zeryl 28156 1579911
OuaisBla 27636 1578800
DMBK 27051 1999456
chriswk 26902 1868317
achambord 26582 1767323
Patrick_G 26276 1801617
yorkman 26193 1992080
SFTUser 25182 1675689
nabildanial 24942 1519409
Sharaf_DG 24765 1786697
ncfish1 24411 1520927
rodneyc 24227 1409514
agg177 23890 1395014
JanErik 23408 1703875
Isidor 23388 1680691
Norabor 23164 1591830
cisco2015 22897 1762669
Zirie 22542 1472937
team-oh 22272 1636708
MazeOfGalious 21978 1629593
sg4032 21947 1643265
ianh2105 21725 1632562
xor12 21628 1680365
dex 21612 1467203
nesoneg 21494 1463031
sphinx 21211 1384728
jjoshua2 21001 1423089
horst.prack 20878 1465656
Ente 20865 1477066
0xB00B1ES 20590 1208666
j3corre 20405 941444
Adrian.Schmidt123 20316 1281436
wei 19973 1745989
MaxKlaxxMiner 19850 1009176
rstoesser 19569 1293588
gopeto 19491 1174952
eudhan 19274 1283717
jundery 18445 1115855
megaman7de 18377 1067540
iisiraider 18247 1101015
ville 17883 1384026
chris 17698 1487385
purplefishies 17595 1092533
dju 17353 978595
DragonLord 17014 1162790
IgorLeMasson 16064 1147232
ako027ako 15671 1173203
chuckstablers 15289 891576
Nikolay.IT 15154 1068349
Andrew Grant 15114 895539
OssumOpossum 14857 1007129
Karby 14808 867120
enedene 14476 905279
bpfliegel 14298 884523
mpx86 14019 759568
jpulman 13982 870599
crocogoat 13803 1117422
joster 13794 950160
Nesa92 13786 1114691
Hjax 13535 915487
jsys14 13459 785000
Dark_wizzie 13422 1007152
mabichito 12903 749391
thijsk 12886 722107
AdrianSA 12860 804972
Flopzee 12698 894821
fatmurphy 12547 853210
Rudolphous 12520 832340
scuzzi 12511 845761
SapphireBrand 12416 969604
modolief 12386 896470
Machariel 12335 810784
pgontarz 12151 848794
stocky 11954 699440
mschmidt 11941 803401
Maxim 11543 836024
infinity 11470 727027
torbjo 11395 729145
Thomas A. Anderson 11372 732094
savage84 11358 670860
d64 11263 789184
MooTheCow 11237 720174
snicolet 11106 869170
ali-al-zhrani 11086 767926
AndreasKrug 10875 887457
pirt 10806 836519
basepi 10637 744851
michaelrpg 10508 739039
dzjp 10343 732529
aga 10302 622975
ols 10259 570669
lbraesch 10252 647825
FormazChar 10059 757283
+62 -40
View File
@@ -1,7 +1,5 @@
# Stockfish, a UCI chess playing engine derived from Glaurung 2.1
# Copyright (C) 2004-2008 Tord Romstad (Glaurung author)
# Copyright (C) 2008-2015 Marco Costalba, Joona Kiiski, Tord Romstad
# Copyright (C) 2015-2019 Marco Costalba, Joona Kiiski, Gary Linscott, Tord Romstad
# Copyright (C) 2004-2021 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
@@ -33,13 +31,17 @@ PREFIX = /usr/local
BINDIR = $(PREFIX)/bin
### Built-in benchmark for pgo-builds
PGOBENCH = ./$(EXE) bench
ifeq ($(SDE_PATH),)
PGOBENCH = ./$(EXE) bench
else
PGOBENCH = $(SDE_PATH) -- ./$(EXE) bench
endif
### 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 \
search.cpp thread.cpp timeman.cpp tt.cpp uci.cpp ucioption.cpp tune.cpp syzygy/tbprobe.cpp \
nnue/evaluate_nnue.cpp nnue/features/half_kp.cpp
nnue/evaluate_nnue.cpp nnue/features/half_ka_v2.cpp
OBJS = $(notdir $(SRCS:.cpp=.o))
@@ -59,9 +61,11 @@ endif
# ----------------------------------------------------------------------------
#
# debug = yes/no --- -DNDEBUG --- Enable/Disable debug mode
# sanitize = undefined/thread/no (-fsanitize )
# sanitize = none/<sanitizer> ... (-fsanitize )
# --- ( undefined ) --- enable undefined behavior checks
# --- ( thread ) --- enable threading error checks
# --- ( thread ) --- enable threading error checks
# --- ( address ) --- enable memory access checks
# --- ...etc... --- see compiler documentation for supported sanitizers
# optimize = yes/no --- (-O3/-fast etc.) --- Enable/Disable optimizations
# arch = (name) --- (-arch) --- Target architecture
# bits = 64/32 --- -DIS_64BIT --- 64-/32-bit operating system
@@ -82,6 +86,10 @@ endif
# Note that Makefile is space sensitive, so when adding new architectures
# or modifying existing flags, you have to make sure there are no extra spaces
# at the end of the line for flag values.
#
# Example of use for these flags:
# make build ARCH=x86-64-avx512 debug=on sanitize="address undefined"
### 2.1. General and architecture defaults
@@ -94,7 +102,7 @@ endif
ifeq ($(ARCH), $(filter $(ARCH), \
x86-64-vnni512 x86-64-vnni256 x86-64-avx512 x86-64-bmi2 x86-64-avx2 \
x86-64-sse41-popcnt x86-64-modern x86-64-ssse3 x86-64-sse3-popcnt \
x86-64 x86-32-sse41-popcnt x86-32-sse2 x86-32 ppc-64 ppc-32 \
x86-64 x86-32-sse41-popcnt x86-32-sse2 x86-32 ppc-64 ppc-32 e2k \
armv7 armv7-neon armv8 apple-silicon general-64 general-32))
SUPPORTED_ARCH=true
else
@@ -103,7 +111,7 @@ endif
optimize = yes
debug = no
sanitize = no
sanitize = none
bits = 64
prefetch = no
popcnt = no
@@ -289,6 +297,17 @@ ifeq ($(ARCH),ppc-64)
prefetch = yes
endif
ifeq ($(findstring e2k,$(ARCH)),e2k)
arch = e2k
mmx = yes
bits = 64
sse = yes
sse2 = yes
ssse3 = yes
sse41 = yes
popcnt = yes
endif
endif
### ==========================================================================
@@ -366,9 +385,11 @@ ifeq ($(COMP),clang)
ifneq ($(KERNEL),Darwin)
ifneq ($(KERNEL),OpenBSD)
ifneq ($(KERNEL),FreeBSD)
LDFLAGS += -latomic
endif
endif
endif
ifeq ($(arch),$(filter $(arch),armv7 armv8))
ifeq ($(OS),Android)
@@ -381,19 +402,6 @@ ifeq ($(COMP),clang)
endif
endif
ifeq ($(comp),icc)
profile_make = icc-profile-make
profile_use = icc-profile-use
else
ifeq ($(comp),clang)
profile_make = clang-profile-make
profile_use = clang-profile-use
else
profile_make = gcc-profile-make
profile_use = gcc-profile-use
endif
endif
ifeq ($(KERNEL),Darwin)
CXXFLAGS += -arch $(arch) -mmacosx-version-min=10.14
LDFLAGS += -arch $(arch) -mmacosx-version-min=10.14
@@ -405,20 +413,30 @@ endif
# Currently we don't know how to make PGO builds with the NDK yet.
ifeq ($(COMP),ndk)
CXXFLAGS += -stdlib=libc++ -fPIE
comp=clang
ifeq ($(arch),armv7)
comp=armv7a-linux-androideabi16-clang
CXX=armv7a-linux-androideabi16-clang++
CXXFLAGS += -mthumb -march=armv7-a -mfloat-abi=softfp -mfpu=neon
STRIP=arm-linux-androideabi-strip
endif
ifeq ($(arch),armv8)
comp=aarch64-linux-android21-clang
CXX=aarch64-linux-android21-clang++
STRIP=aarch64-linux-android-strip
endif
LDFLAGS += -static-libstdc++ -pie -lm -latomic
endif
ifeq ($(comp),icc)
profile_make = icc-profile-make
profile_use = icc-profile-use
else ifeq ($(comp),clang)
profile_make = clang-profile-make
profile_use = clang-profile-use
else
profile_make = gcc-profile-make
profile_use = gcc-profile-use
endif
### Travis CI script uses COMPILER to overwrite CXX
ifdef COMPILER
COMPCXX=$(COMPILER)
@@ -461,9 +479,9 @@ else
endif
### 3.2.2 Debugging with undefined behavior sanitizers
ifneq ($(sanitize),no)
CXXFLAGS += -g3 -fsanitize=$(sanitize)
LDFLAGS += -fsanitize=$(sanitize)
ifneq ($(sanitize),none)
CXXFLAGS += -g3 $(addprefix -fsanitize=,$(sanitize))
LDFLAGS += $(addprefix -fsanitize=,$(sanitize))
endif
### 3.3 Optimization
@@ -482,6 +500,10 @@ ifeq ($(optimize),yes)
CXXFLAGS += -mdynamic-no-pic
endif
endif
ifeq ($(comp),clang)
CXXFLAGS += -fexperimental-new-pass-manager
endif
endif
### 3.4 Bits
@@ -509,7 +531,6 @@ ifeq ($(popcnt),yes)
endif
endif
ifeq ($(avx2),yes)
CXXFLAGS += -DUSE_AVX2
ifeq ($(comp),$(filter $(comp),gcc clang mingw))
@@ -590,11 +611,8 @@ endif
### needs access to the optimization flags.
ifeq ($(optimize),yes)
ifeq ($(debug), no)
ifeq ($(COMP),ndk)
CXXFLAGS += -flto=thin
LDFLAGS += $(CXXFLAGS)
else ifeq ($(comp),clang)
CXXFLAGS += -flto=thin
ifeq ($(comp),clang)
CXXFLAGS += -flto
ifneq ($(findstring MINGW,$(KERNEL)),)
CXXFLAGS += -fuse-ld=lld
else ifneq ($(findstring MSYS,$(KERNEL)),)
@@ -614,7 +632,7 @@ ifeq ($(debug), no)
LDFLAGS += -save-temps
endif
else
CXXFLAGS += -flto=thin
CXXFLAGS += -flto
LDFLAGS += $(CXXFLAGS)
endif
@@ -680,6 +698,7 @@ help:
@echo "armv7 > ARMv7 32-bit"
@echo "armv7-neon > ARMv7 32-bit with popcnt and neon"
@echo "armv8 > ARMv8 64-bit with popcnt and neon"
@echo "e2k > Elbrus 2000"
@echo "apple-silicon > Apple silicon ARM64"
@echo "general-64 > unspecified 64-bit"
@echo "general-32 > unspecified 32-bit"
@@ -717,7 +736,7 @@ endif
config-sanity icc-profile-use icc-profile-make gcc-profile-use gcc-profile-make \
clang-profile-use clang-profile-make
build: config-sanity net
build: net config-sanity
$(MAKE) ARCH=$(ARCH) COMP=$(COMP) all
profile-build: net config-sanity objclean profileclean
@@ -780,6 +799,9 @@ profileclean:
@rm -rf profdir
@rm -f bench.txt *.gcda *.gcno ./syzygy/*.gcda ./nnue/*.gcda ./nnue/features/*.gcda *.s
@rm -f stockfish.profdata *.profraw
@rm -f stockfish.exe.lto_wrapper_args
@rm -f stockfish.exe.ltrans.out
@rm -f ./-lstdc++.res
default:
help
@@ -790,7 +812,7 @@ default:
all: $(EXE) .depend
config-sanity:
config-sanity: net
@echo ""
@echo "Config:"
@echo "debug: '$(debug)'"
@@ -822,11 +844,10 @@ config-sanity:
@echo "Testing config sanity. If this fails, try 'make help' ..."
@echo ""
@test "$(debug)" = "yes" || test "$(debug)" = "no"
@test "$(sanitize)" = "undefined" || test "$(sanitize)" = "thread" || test "$(sanitize)" = "address" || test "$(sanitize)" = "no"
@test "$(optimize)" = "yes" || test "$(optimize)" = "no"
@test "$(SUPPORTED_ARCH)" = "true"
@test "$(arch)" = "any" || test "$(arch)" = "x86_64" || test "$(arch)" = "i386" || \
test "$(arch)" = "ppc64" || test "$(arch)" = "ppc" || \
test "$(arch)" = "ppc64" || test "$(arch)" = "ppc" || test "$(arch)" = "e2k" || \
test "$(arch)" = "armv7" || test "$(arch)" = "armv8" || test "$(arch)" = "arm64"
@test "$(bits)" = "32" || test "$(bits)" = "64"
@test "$(prefetch)" = "yes" || test "$(prefetch)" = "no"
@@ -862,14 +883,15 @@ clang-profile-use:
all
gcc-profile-make:
@mkdir -p profdir
$(MAKE) ARCH=$(ARCH) COMP=$(COMP) \
EXTRACXXFLAGS='-fprofile-generate' \
EXTRACXXFLAGS='-fprofile-generate=profdir' \
EXTRALDFLAGS='-lgcov' \
all
gcc-profile-use:
$(MAKE) ARCH=$(ARCH) COMP=$(COMP) \
EXTRACXXFLAGS='-fprofile-use -fno-peel-loops -fno-tracer' \
EXTRACXXFLAGS='-fprofile-use=profdir -fno-peel-loops -fno-tracer' \
EXTRALDFLAGS='-lgcov' \
all
+7 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -92,6 +92,8 @@ const vector<string> Defaults = {
} // 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
@@ -164,5 +166,9 @@ vector<string> setup_bench(const Position& current, istream& is) {
++posCounter;
}
list.emplace_back("setoption name Use NNUE value true");
return list;
}
} // namespace Stockfish
+7 -5
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -23,6 +23,8 @@
#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.
@@ -66,7 +68,6 @@ namespace {
} // namespace
bool Bitbases::probe(Square wksq, Square wpsq, Square bksq, Color stm) {
assert(file_of(wpsq) <= FILE_D);
@@ -96,7 +97,6 @@ void Bitbases::init() {
KPKBitbase.set(idx);
}
namespace {
KPKPosition::KPKPosition(unsigned idx) {
@@ -150,8 +150,8 @@ namespace {
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)];
r |= stm == WHITE ? db[index(BLACK, ksq[BLACK], pop_lsb(b), psq)]
: db[index(WHITE, pop_lsb(b), ksq[WHITE], psq)];
if (stm == WHITE)
{
@@ -168,3 +168,5 @@ namespace {
}
} // namespace
} // namespace Stockfish
+15 -6
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -22,11 +22,14 @@
#include "bitboard.h"
#include "misc.h"
namespace Stockfish {
uint8_t PopCnt16[1 << 16];
uint8_t SquareDistance[SQUARE_NB][SQUARE_NB];
Bitboard SquareBB[SQUARE_NB];
Bitboard LineBB[SQUARE_NB][SQUARE_NB];
Bitboard BetweenBB[SQUARE_NB][SQUARE_NB];
Bitboard PseudoAttacks[PIECE_TYPE_NB][SQUARE_NB];
Bitboard PawnAttacks[COLOR_NB][SQUARE_NB];
@@ -42,7 +45,6 @@ namespace {
}
/// 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.
@@ -55,7 +57,7 @@ inline Bitboard safe_destination(Square s, int step) {
/// Bitboards::pretty() returns an ASCII representation of a bitboard suitable
/// to be printed to standard output. Useful for debugging.
const std::string Bitboards::pretty(Bitboard b) {
std::string Bitboards::pretty(Bitboard b) {
std::string s = "+---+---+---+---+---+---+---+---+\n";
@@ -106,12 +108,17 @@ void Bitboards::init() {
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;
{
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) {
@@ -123,7 +130,7 @@ namespace {
for (Direction d : (pt == ROOK ? RookDirections : BishopDirections))
{
Square s = sq;
while(safe_destination(s, d) && !(occupied & s))
while (safe_destination(s, d) && !(occupied & s))
attacks |= (s += d);
}
@@ -211,3 +218,5 @@ namespace {
}
}
}
} // namespace Stockfish
+34 -16
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -23,19 +23,21 @@
#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();
const std::string pretty(Bitboard b);
std::string pretty(Bitboard b);
}
} // namespace Stockfish::Bitboards
constexpr Bitboard AllSquares = ~Bitboard(0);
constexpr Bitboard DarkSquares = 0xAA55AA55AA55AA55ULL;
@@ -73,6 +75,7 @@ extern uint8_t PopCnt16[1 << 16];
extern uint8_t SquareDistance[SQUARE_NB][SQUARE_NB];
extern Bitboard SquareBB[SQUARE_NB];
extern Bitboard BetweenBB[SQUARE_NB][SQUARE_NB];
extern Bitboard LineBB[SQUARE_NB][SQUARE_NB];
extern Bitboard PseudoAttacks[PIECE_TYPE_NB][SQUARE_NB];
extern Bitboard PawnAttacks[COLOR_NB][SQUARE_NB];
@@ -209,23 +212,29 @@ constexpr Bitboard adjacent_files_bb(Square s) {
inline Bitboard line_bb(Square s1, Square s2) {
assert(is_ok(s1) && is_ok(s2));
return LineBB[s1][s2];
}
/// between_bb() returns a bitboard representing squares that are linearly
/// between the two given squares (excluding the given squares). If the given
/// squares are not on a same file/rank/diagonal, we return 0. For instance,
/// between_bb(SQ_C4, SQ_F7) will return a bitboard with squares D5 and E6.
/// 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.
inline Bitboard between_bb(Square s1, Square s2) {
Bitboard b = line_bb(s1, s2) & ((AllSquares << s1) ^ (AllSquares << s2));
return b & (b - 1); //exclude lsb
assert(is_ok(s1) && is_ok(s2));
return BetweenBB[s1][s2];
}
/// 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() 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) {
@@ -412,13 +421,20 @@ inline Square msb(Bitboard b) {
#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)).
inline Bitboard least_significant_square_bb(Bitboard b) {
assert(b);
return b & -b;
}
/// pop_lsb() 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;
inline Square pop_lsb(Bitboard& b) {
assert(b);
const Square s = lsb(b);
b &= b - 1;
return s;
}
@@ -430,4 +446,6 @@ inline Square frontmost_sq(Color c, Bitboard b) {
return c == WHITE ? msb(b) : lsb(b);
}
} // namespace Stockfish
#endif // #ifndef BITBOARD_H_INCLUDED
+9 -5
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -22,6 +22,8 @@
#include "endgame.h"
#include "movegen.h"
namespace Stockfish {
namespace {
// Used to drive the king towards the edge of the board
@@ -553,8 +555,8 @@ ScaleFactor Endgame<KRPPKRP>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, RookValueMg, 2));
assert(verify_material(pos, weakSide, RookValueMg, 1));
Square strongPawn1 = pos.squares<PAWN>(strongSide)[0];
Square strongPawn2 = pos.squares<PAWN>(strongSide)[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?
@@ -638,8 +640,8 @@ ScaleFactor Endgame<KBPPKB>::operator()(const Position& pos) const {
return SCALE_FACTOR_NONE;
Square weakKing = pos.square<KING>(weakSide);
Square strongPawn1 = pos.squares<PAWN>(strongSide)[0];
Square strongPawn2 = pos.squares<PAWN>(strongSide)[1];
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))
@@ -741,3 +743,5 @@ ScaleFactor Endgame<KPKP>::operator()(const Position& pos) const {
// 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
+4 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -28,6 +28,7 @@
#include "position.h"
#include "types.h"
namespace Stockfish {
/// EndgameCode lists all supported endgame functions by corresponding codes
@@ -120,4 +121,6 @@ namespace Endgames {
}
}
} // namespace Stockfish
#endif // #ifndef ENDGAME_H_INCLUDED
+229 -129
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -33,16 +33,18 @@
#include "misc.h"
#include "pawns.h"
#include "thread.h"
#include "timeman.h"
#include "uci.h"
#include "incbin/incbin.h"
// Macro to embed the default NNUE file data in the engine binary (using incbin.h, by Dale Weiler).
// Macro to embed the default efficiently updatable neural network (NNUE) file
// data in the engine binary (using incbin.h, by Dale Weiler).
// This macro invocation will declare the following three variables
// const unsigned char gEmbeddedNNUEData[]; // a pointer to the embedded data
// const unsigned char *const gEmbeddedNNUEEnd; // a marker to the end
// const unsigned int gEmbeddedNNUESize; // the size of the embedded file
// Note that this does not work in Microsof Visual Studio.
// Note that this does not work in Microsoft Visual Studio.
#if !defined(_MSC_VER) && !defined(NNUE_EMBEDDING_OFF)
INCBIN(EmbeddedNNUE, EvalFileDefaultName);
#else
@@ -53,22 +55,23 @@
using namespace std;
using namespace Eval::NNUE;
namespace Stockfish {
namespace Eval {
bool useNNUE;
string eval_file_loaded = "None";
/// init_NNUE() tries to load a nnue network at startup time, or when the engine
/// NNUE::init() tries to load a NNUE network at startup time, or when the engine
/// receives a UCI command "setoption name EvalFile value nn-[a-z0-9]{12}.nnue"
/// The name of the nnue network is always retrieved from the EvalFile option.
/// The name of the NNUE network is always retrieved from the EvalFile option.
/// We search the given network in three locations: internally (the default
/// network may be embedded in the binary), in the active working directory and
/// in the engine directory. Distro packagers may define the DEFAULT_NNUE_DIRECTORY
/// variable to have the engine search in a special directory in their distro.
void init_NNUE() {
void NNUE::init() {
useNNUE = Options["Use NNUE"];
if (!useNNUE)
@@ -111,8 +114,8 @@ namespace Eval {
}
}
/// verify_NNUE() verifies that the last net used was loaded successfully
void verify_NNUE() {
/// NNUE::verify() verifies that the last net used was loaded successfully
void NNUE::verify() {
string eval_file = string(Options["EvalFile"]);
@@ -177,7 +180,7 @@ namespace Trace {
else
os << scores[t][WHITE] << " | " << scores[t][BLACK];
os << " | " << scores[t][WHITE] - scores[t][BLACK] << "\n";
os << " | " << scores[t][WHITE] - scores[t][BLACK] << " |\n";
return os;
}
}
@@ -187,11 +190,9 @@ using namespace Trace;
namespace {
// Threshold for lazy and space evaluation
constexpr Value LazyThreshold1 = Value(1400);
constexpr Value LazyThreshold2 = Value(1300);
constexpr Value SpaceThreshold = Value(12222);
constexpr Value NNUEThreshold1 = Value(550);
constexpr Value NNUEThreshold2 = Value(150);
constexpr Value LazyThreshold1 = Value(1565);
constexpr Value LazyThreshold2 = Value(1102);
constexpr Value SpaceThreshold = Value(11551);
// KingAttackWeights[PieceType] contains king attack weights by piece type
constexpr int KingAttackWeights[PIECE_TYPE_NB] = { 0, 0, 81, 52, 44, 10 };
@@ -199,7 +200,7 @@ namespace {
// SafeCheck[PieceType][single/multiple] contains safe check bonus by piece type,
// higher if multiple safe checks are possible for that piece type.
constexpr int SafeCheck[][2] = {
{}, {}, {792, 1283}, {645, 967}, {1084, 1897}, {772, 1119}
{}, {}, {803, 1292}, {639, 974}, {1087, 1878}, {759, 1132}
};
#define S(mg, eg) make_score(mg, eg)
@@ -207,19 +208,25 @@ namespace {
// MobilityBonus[PieceType-2][attacked] contains bonuses for middle and end game,
// indexed by piece type and number of attacked squares in the mobility area.
constexpr Score MobilityBonus[][32] = {
{ S(-62,-81), S(-53,-56), S(-12,-31), S( -4,-16), S( 3, 5), S( 13, 11), // Knight
S( 22, 17), S( 28, 20), S( 33, 25) },
{ S(-48,-59), S(-20,-23), S( 16, -3), S( 26, 13), S( 38, 24), S( 51, 42), // Bishop
S( 55, 54), S( 63, 57), S( 63, 65), S( 68, 73), S( 81, 78), S( 81, 86),
S( 91, 88), S( 98, 97) },
{ S(-60,-78), S(-20,-17), S( 2, 23), S( 3, 39), S( 3, 70), S( 11, 99), // Rook
S( 22,103), S( 31,121), S( 40,134), S( 40,139), S( 41,158), S( 48,164),
S( 57,168), S( 57,169), S( 62,172) },
{ S(-30,-48), S(-12,-30), S( -8, -7), S( -9, 19), S( 20, 40), S( 23, 55), // Queen
S( 23, 59), S( 35, 75), S( 38, 78), S( 53, 96), S( 64, 96), S( 65,100),
S( 65,121), S( 66,127), S( 67,131), S( 67,133), S( 72,136), S( 72,141),
S( 77,147), S( 79,150), S( 93,151), S(108,168), S(108,168), S(108,171),
S(110,182), S(114,182), S(114,192), S(116,219) }
{ S(-62,-79), S(-53,-57), S(-12,-31), S( -3,-17), S( 3, 7), S( 12, 13), // Knight
S( 21, 16), S( 28, 21), S( 37, 26) },
{ S(-47,-59), S(-20,-25), S( 14, -8), S( 29, 12), S( 39, 21), S( 53, 40), // Bishop
S( 53, 56), S( 60, 58), S( 62, 65), S( 69, 72), S( 78, 78), S( 83, 87),
S( 91, 88), S( 96, 98) },
{ S(-60,-82), S(-24,-15), S( 0, 17) ,S( 3, 43), S( 4, 72), S( 14,100), // Rook
S( 20,102), S( 30,122), S( 41,133), S(41 ,139), S( 41,153), S( 45,160),
S( 57,165), S( 58,170), S( 67,175) },
{ S(-29,-49), S(-16,-29), S( -8, -8), S( -8, 17), S( 18, 39), S( 25, 54), // Queen
S( 23, 59), S( 37, 73), S( 41, 76), S( 54, 95), S( 65, 95) ,S( 68,101),
S( 69,124), S( 70,128), S( 70,132), S( 70,133) ,S( 71,136), S( 72,140),
S( 74,147), S( 76,149), S( 90,153), S(104,169), S(105,171), S(106,171),
S(112,178), S(114,185), S(114,187), S(119,221) }
};
// BishopPawns[distance from edge] contains a file-dependent penalty for pawns on
// squares of the same color as our bishop.
constexpr Score BishopPawns[int(FILE_NB) / 2] = {
S(3, 8), S(3, 9), S(2, 8), S(3, 8)
};
// KingProtector[knight/bishop] contains penalty for each distance unit to own king
@@ -227,16 +234,15 @@ namespace {
// Outpost[knight/bishop] contains bonuses for each knight or bishop occupying a
// pawn protected square on rank 4 to 6 which is also safe from a pawn attack.
constexpr Score Outpost[] = { S(56, 34), S(31, 23) };
constexpr Score Outpost[] = { S(57, 38), S(31, 24) };
// PassedRank[Rank] contains a bonus according to the rank of a passed pawn
constexpr Score PassedRank[RANK_NB] = {
S(0, 0), S(9, 28), S(15, 31), S(17, 39), S(64, 70), S(171, 177), S(277, 260)
S(0, 0), S(7, 27), S(16, 32), S(17, 40), S(64, 71), S(170, 174), S(278, 262)
};
// RookOnFile[semiopen/open] contains bonuses for each rook when there is
// no (friendly) pawn on the rook file.
constexpr Score RookOnFile[] = { S(19, 7), S(48, 27) };
constexpr Score RookOnClosedFile = S(10, 5);
constexpr Score RookOnOpenFile[] = { S(19, 6), S(47, 26) };
// ThreatByMinor/ByRook[attacked PieceType] contains bonuses according to
// which piece type attacks which one. Attacks on lesser pieces which are
@@ -249,12 +255,12 @@ namespace {
S(0, 0), S(3, 44), S(37, 68), S(42, 60), S(0, 39), S(58, 43)
};
constexpr Value CorneredBishop = Value(50);
// Assorted bonuses and penalties
constexpr Score BadOutpost = S( -7, 36);
constexpr Score UncontestedOutpost = S( 1, 10);
constexpr Score BishopOnKingRing = S( 24, 0);
constexpr Score BishopPawns = S( 3, 7);
constexpr Score BishopXRayPawns = S( 4, 5);
constexpr Score CorneredBishop = S( 50, 50);
constexpr Score FlankAttacks = S( 8, 0);
constexpr Score Hanging = S( 69, 36);
constexpr Score KnightOnQueen = S( 16, 11);
@@ -265,7 +271,6 @@ namespace {
constexpr Score ReachableOutpost = S( 31, 22);
constexpr Score RestrictedPiece = S( 7, 7);
constexpr Score RookOnKingRing = S( 16, 0);
constexpr Score RookOnQueenFile = S( 6, 11);
constexpr Score SliderOnQueen = S( 60, 18);
constexpr Score ThreatByKing = S( 24, 89);
constexpr Score ThreatByPawnPush = S( 48, 39);
@@ -384,15 +389,16 @@ namespace {
constexpr Direction Down = -pawn_push(Us);
constexpr Bitboard OutpostRanks = (Us == WHITE ? Rank4BB | Rank5BB | Rank6BB
: Rank5BB | Rank4BB | Rank3BB);
const Square* pl = pos.squares<Pt>(Us);
Bitboard b1 = pos.pieces(Us, Pt);
Bitboard b, bb;
Score score = SCORE_ZERO;
attackedBy[Us][Pt] = 0;
for (Square s = *pl; s != SQ_NONE; s = *++pl)
while (b1)
{
Square s = pop_lsb(b1);
// Find attacked squares, including x-ray attacks for bishops and rooks
b = Pt == BISHOP ? attacks_bb<BISHOP>(s, pos.pieces() ^ pos.pieces(QUEEN))
: Pt == ROOK ? attacks_bb< ROOK>(s, pos.pieces() ^ pos.pieces(QUEEN) ^ pos.pieces(Us, ROOK))
@@ -419,13 +425,12 @@ namespace {
score += BishopOnKingRing;
int mob = popcount(b & mobilityArea[Us]);
mobility[Us] += MobilityBonus[Pt - 2][mob];
if (Pt == BISHOP || Pt == KNIGHT)
{
// Bonus if the piece is on an outpost square or can reach one
// Reduced bonus for knights (BadOutpost) if few relevant targets
// Bonus for knights (UncontestedOutpost) if few relevant targets
bb = OutpostRanks & (attackedBy[Us][PAWN] | shift<Down>(pos.pieces(PAWN)))
& ~pe->pawn_attacks_span(Them);
Bitboard targets = pos.pieces(Them) & ~pos.pieces(PAWN);
@@ -434,7 +439,7 @@ namespace {
&& bb & s & ~CenterFiles // on a side outpost
&& !(b & targets) // no relevant attacks
&& (!more_than_one(targets & (s & QueenSide ? QueenSide : KingSide))))
score += BadOutpost;
score += UncontestedOutpost * popcount(pos.pieces(PAWN) & (s & QueenSide ? QueenSide : KingSide));
else if (bb & s)
score += Outpost[Pt == BISHOP];
else if (Pt == KNIGHT && bb & b & ~pos.pieces(Us))
@@ -447,14 +452,14 @@ namespace {
// Penalty if the piece is far from the king
score -= KingProtector[Pt == BISHOP] * distance(pos.square<KING>(Us), s);
if (Pt == BISHOP)
if constexpr (Pt == BISHOP)
{
// Penalty according to the number of our pawns on the same color square as the
// bishop, bigger when the center files are blocked with pawns and smaller
// when the bishop is outside the pawn chain.
Bitboard blocked = pos.pieces(Us, PAWN) & shift<Down>(pos.pieces());
score -= BishopPawns * pos.pawns_on_same_color_squares(Us, s)
score -= BishopPawns[edge_distance(file_of(s))] * pos.pawns_on_same_color_squares(Us, s)
* (!(attackedBy[Us][PAWN] & s) + popcount(blocked & CenterFiles));
// Penalty for all enemy pawns x-rayed
@@ -472,33 +477,40 @@ namespace {
{
Direction d = pawn_push(Us) + (file_of(s) == FILE_A ? EAST : WEST);
if (pos.piece_on(s + d) == make_piece(Us, PAWN))
score -= !pos.empty(s + d + pawn_push(Us)) ? CorneredBishop * 4
: pos.piece_on(s + d + d) == make_piece(Us, PAWN) ? CorneredBishop * 2
: CorneredBishop;
score -= !pos.empty(s + d + pawn_push(Us)) ? 4 * make_score(CorneredBishop, CorneredBishop)
: 3 * make_score(CorneredBishop, CorneredBishop);
}
}
}
if (Pt == ROOK)
if constexpr (Pt == ROOK)
{
// Bonus for rook on the same file as a queen
if (file_bb(s) & pos.pieces(QUEEN))
score += RookOnQueenFile;
// Bonus for rook on an open or semi-open file
// Bonuses for rook on a (semi-)open or closed file
if (pos.is_on_semiopen_file(Us, s))
score += RookOnFile[pos.is_on_semiopen_file(Them, s)];
// Penalty when trapped by the king, even more if the king cannot castle
else if (mob <= 3)
{
File kf = file_of(pos.square<KING>(Us));
if ((kf < FILE_E) == (file_of(s) < kf))
score -= TrappedRook * (1 + !pos.castling_rights(Us));
score += RookOnOpenFile[pos.is_on_semiopen_file(Them, s)];
}
else
{
// If our pawn on this file is blocked, increase penalty
if ( pos.pieces(Us, PAWN)
& shift<Down>(pos.pieces())
& file_bb(s))
{
score -= RookOnClosedFile;
}
// Penalty when trapped by the king, even more if the king cannot castle
if (mob <= 3)
{
File kf = file_of(pos.square<KING>(Us));
if ((kf < FILE_E) == (file_of(s) < kf))
score -= TrappedRook * (1 + !pos.castling_rights(Us));
}
}
}
if (Pt == QUEEN)
if constexpr (Pt == QUEEN)
{
// Penalty if any relative pin or discovered attack against the queen
Bitboard queenPinners;
@@ -506,7 +518,7 @@ namespace {
score -= WeakQueen;
}
}
if (T)
if constexpr (T)
Trace::add(Pt, Us, score);
return score;
@@ -582,18 +594,18 @@ namespace {
int kingFlankAttack = popcount(b1) + popcount(b2);
int kingFlankDefense = popcount(b3);
kingDanger += kingAttackersCount[Them] * kingAttackersWeight[Them]
+ 185 * popcount(kingRing[Us] & weak)
+ 148 * popcount(unsafeChecks)
+ 98 * popcount(pos.blockers_for_king(Us))
+ 69 * kingAttacksCount[Them]
+ 3 * kingFlankAttack * kingFlankAttack / 8
+ mg_value(mobility[Them] - mobility[Us])
- 873 * !pos.count<QUEEN>(Them)
- 100 * bool(attackedBy[Us][KNIGHT] & attackedBy[Us][KING])
- 6 * mg_value(score) / 8
- 4 * kingFlankDefense
+ 37;
kingDanger += kingAttackersCount[Them] * kingAttackersWeight[Them] // (~10 Elo)
+ 183 * popcount(kingRing[Us] & weak) // (~15 Elo)
+ 148 * popcount(unsafeChecks) // (~4 Elo)
+ 98 * popcount(pos.blockers_for_king(Us)) // (~2 Elo)
+ 69 * kingAttacksCount[Them] // (~0.5 Elo)
+ 3 * kingFlankAttack * kingFlankAttack / 8 // (~0.5 Elo)
+ mg_value(mobility[Them] - mobility[Us]) // (~0.5 Elo)
- 873 * !pos.count<QUEEN>(Them) // (~24 Elo)
- 100 * bool(attackedBy[Us][KNIGHT] & attackedBy[Us][KING]) // (~5 Elo)
- 6 * mg_value(score) / 8 // (~8 Elo)
- 4 * kingFlankDefense // (~5 Elo)
+ 37; // (~0.5 Elo)
// Transform the kingDanger units into a Score, and subtract it from the evaluation
if (kingDanger > 100)
@@ -606,7 +618,7 @@ namespace {
// Penalty if king flank is under attack, potentially moving toward the king
score -= FlankAttacks * kingFlankAttack;
if (T)
if constexpr (T)
Trace::add(KING, Us, score);
return score;
@@ -645,11 +657,11 @@ namespace {
{
b = (defended | weak) & (attackedBy[Us][KNIGHT] | attackedBy[Us][BISHOP]);
while (b)
score += ThreatByMinor[type_of(pos.piece_on(pop_lsb(&b)))];
score += ThreatByMinor[type_of(pos.piece_on(pop_lsb(b)))];
b = weak & attackedBy[Us][ROOK];
while (b)
score += ThreatByRook[type_of(pos.piece_on(pop_lsb(&b)))];
score += ThreatByRook[type_of(pos.piece_on(pop_lsb(b)))];
if (weak & attackedBy[Us][KING])
score += ThreatByKing;
@@ -707,7 +719,7 @@ namespace {
score += SliderOnQueen * popcount(b & safe & attackedBy2[Us]) * (1 + queenImbalance);
}
if (T)
if constexpr (T)
Trace::add(THREAT, Us, score);
return score;
@@ -747,7 +759,7 @@ namespace {
while (b)
{
Square s = pop_lsb(&b);
Square s = pop_lsb(b);
assert(!(pos.pieces(Them, PAWN) & forward_file_bb(Us, s + Up)));
@@ -777,14 +789,16 @@ namespace {
bb = forward_file_bb(Them, s) & pos.pieces(ROOK, QUEEN);
if (!(pos.pieces(Them) & bb))
unsafeSquares &= attackedBy[Them][ALL_PIECES];
unsafeSquares &= attackedBy[Them][ALL_PIECES] | pos.pieces(Them);
// If there are no enemy attacks on passed pawn span, assign a big bonus.
// If there are no enemy pieces or attacks on passed pawn span, assign a big bonus.
// Or if there is some, but they are all attacked by our pawns, assign a bit smaller bonus.
// Otherwise assign a smaller bonus if the path to queen is not attacked
// and even smaller bonus if it is attacked but block square is not.
int k = !unsafeSquares ? 35 :
!(unsafeSquares & squaresToQueen) ? 20 :
!(unsafeSquares & blockSq) ? 9 :
int k = !unsafeSquares ? 36 :
!(unsafeSquares & ~attackedBy[Us][PAWN]) ? 30 :
!(unsafeSquares & squaresToQueen) ? 17 :
!(unsafeSquares & blockSq) ? 7 :
0 ;
// Assign a larger bonus if the block square is defended
@@ -798,7 +812,7 @@ namespace {
score += bonus - PassedFile * edge_distance(file_of(s));
}
if (T)
if constexpr (T)
Trace::add(PASSED, Us, score);
return score;
@@ -833,11 +847,13 @@ namespace {
behind |= shift<Down>(behind);
behind |= shift<Down+Down>(behind);
// Compute space score based on the number of safe squares and number of our pieces
// increased with number of total blocked pawns in position.
int bonus = popcount(safe) + popcount(behind & safe & ~attackedBy[Them][ALL_PIECES]);
int weight = pos.count<ALL_PIECES>(Us) - 3 + std::min(pe->blocked_count(), 9);
Score score = make_score(bonus * weight * weight / 16, 0);
if (T)
if constexpr (T)
Trace::add(SPACE, Us, score);
return score;
@@ -852,7 +868,7 @@ namespace {
Value Evaluation<T>::winnable(Score score) const {
int outflanking = distance<File>(pos.square<KING>(WHITE), pos.square<KING>(BLACK))
- distance<Rank>(pos.square<KING>(WHITE), pos.square<KING>(BLACK));
+ int(rank_of(pos.square<KING>(WHITE)) - rank_of(pos.square<KING>(BLACK)));
bool pawnsOnBothFlanks = (pos.pieces(PAWN) & QueenSide)
&& (pos.pieces(PAWN) & KingSide);
@@ -889,28 +905,42 @@ namespace {
Color strongSide = eg > VALUE_DRAW ? WHITE : BLACK;
int sf = me->scale_factor(pos, strongSide);
// If scale factor is not already specific, scale down via general heuristics
// If scale factor is not already specific, scale up/down via general heuristics
if (sf == SCALE_FACTOR_NORMAL)
{
if (pos.opposite_bishops())
{
// For pure opposite colored bishops endgames use scale factor
// based on the number of passed pawns of the strong side.
if ( pos.non_pawn_material(WHITE) == BishopValueMg
&& pos.non_pawn_material(BLACK) == BishopValueMg)
sf = 18 + 4 * popcount(pe->passed_pawns(strongSide));
// For every other opposite colored bishops endgames use scale factor
// based on the number of all pieces of the strong side.
else
sf = 22 + 3 * pos.count<ALL_PIECES>(strongSide);
}
// For rook endgames with strong side not having overwhelming pawn number advantage
// and its pawns being on one flank and weak side protecting its pieces with a king
// use lower scale factor.
else if ( pos.non_pawn_material(WHITE) == RookValueMg
&& pos.non_pawn_material(BLACK) == RookValueMg
&& pos.count<PAWN>(strongSide) - pos.count<PAWN>(~strongSide) <= 1
&& bool(KingSide & pos.pieces(strongSide, PAWN)) != bool(QueenSide & pos.pieces(strongSide, PAWN))
&& (attacks_bb<KING>(pos.square<KING>(~strongSide)) & pos.pieces(~strongSide, PAWN)))
sf = 36;
// For queen vs no queen endgames use scale factor
// based on number of minors of side that doesn't have queen.
else if (pos.count<QUEEN>() == 1)
sf = 37 + 3 * (pos.count<QUEEN>(WHITE) == 1 ? pos.count<BISHOP>(BLACK) + pos.count<KNIGHT>(BLACK)
: pos.count<BISHOP>(WHITE) + pos.count<KNIGHT>(WHITE));
// In every other case use scale factor based on
// the number of pawns of the strong side reduced if pawns are on a single flank.
else
sf = std::min(sf, 36 + 7 * pos.count<PAWN>(strongSide));
sf = std::min(sf, 36 + 7 * pos.count<PAWN>(strongSide)) - 4 * !pawnsOnBothFlanks;
// Reduce scale factor in case of pawns being on a single flank
sf -= 4 * !pawnsOnBothFlanks;
}
// Interpolate between the middlegame and (scaled by 'sf') endgame score
@@ -918,7 +948,7 @@ namespace {
+ eg * int(PHASE_MIDGAME - me->game_phase()) * ScaleFactor(sf) / SCALE_FACTOR_NORMAL;
v /= PHASE_MIDGAME;
if (T)
if constexpr (T)
{
Trace::add(WINNABLE, make_score(u, eg * ScaleFactor(sf) / SCALE_FACTOR_NORMAL - eg_value(score)));
Trace::add(TOTAL, make_score(mg, eg * ScaleFactor(sf) / SCALE_FACTOR_NORMAL));
@@ -948,7 +978,7 @@ namespace {
// Initialize score by reading the incrementally updated scores included in
// the position object (material + piece square tables) and the material
// imbalance. Score is computed internally from the white point of view.
Score score = pos.psq_score() + me->imbalance() + pos.this_thread()->contempt;
Score score = pos.psq_score() + me->imbalance() + pos.this_thread()->trend;
// Probe the pawn hash table
pe = Pawns::probe(pos);
@@ -990,7 +1020,7 @@ make_v:
Value v = winnable(score);
// In case of tracing add all remaining individual evaluation terms
if (T)
if constexpr (T)
{
Trace::add(MATERIAL, pos.psq_score());
Trace::add(IMBALANCE, me->imbalance());
@@ -1002,12 +1032,48 @@ make_v:
v = (v / 16) * 16;
// Side to move point of view
v = (pos.side_to_move() == WHITE ? v : -v) + Tempo;
v = (pos.side_to_move() == WHITE ? v : -v);
return v;
}
} // namespace
/// Fisher Random Chess: correction for cornered bishops, to fix chess960 play with NNUE
Value fix_FRC(const Position& pos) {
constexpr Bitboard Corners = 1ULL << SQ_A1 | 1ULL << SQ_H1 | 1ULL << SQ_A8 | 1ULL << SQ_H8;
if (!(pos.pieces(BISHOP) & Corners))
return VALUE_ZERO;
int correction = 0;
if ( pos.piece_on(SQ_A1) == W_BISHOP
&& pos.piece_on(SQ_B2) == W_PAWN)
correction += !pos.empty(SQ_B3) ? -CorneredBishop * 4
: -CorneredBishop * 3;
if ( pos.piece_on(SQ_H1) == W_BISHOP
&& pos.piece_on(SQ_G2) == W_PAWN)
correction += !pos.empty(SQ_G3) ? -CorneredBishop * 4
: -CorneredBishop * 3;
if ( pos.piece_on(SQ_A8) == B_BISHOP
&& pos.piece_on(SQ_B7) == B_PAWN)
correction += !pos.empty(SQ_B6) ? CorneredBishop * 4
: CorneredBishop * 3;
if ( pos.piece_on(SQ_H8) == B_BISHOP
&& pos.piece_on(SQ_G7) == B_PAWN)
correction += !pos.empty(SQ_G6) ? CorneredBishop * 4
: CorneredBishop * 3;
return pos.side_to_move() == WHITE ? Value(correction)
: -Value(correction);
}
} // namespace Eval
/// evaluate() is the evaluator for the outer world. It returns a static
@@ -1015,13 +1081,36 @@ make_v:
Value Eval::evaluate(const Position& pos) {
bool classical = !Eval::useNNUE
|| abs(eg_value(pos.psq_score())) * 16 > NNUEThreshold1 * (16 + pos.rule50_count());
Value v = classical ? Evaluation<NO_TRACE>(pos).value()
: NNUE::evaluate(pos) * 5 / 4 + Tempo;
Value v;
if (classical && Eval::useNNUE && abs(v) * 16 < NNUEThreshold2 * (16 + pos.rule50_count()))
v = NNUE::evaluate(pos) * 5 / 4 + Tempo;
if (!Eval::useNNUE)
v = Evaluation<NO_TRACE>(pos).value();
else
{
// Scale and shift NNUE for compatibility with search and classical evaluation
auto adjusted_NNUE = [&]()
{
int scale = 903
+ 32 * pos.count<PAWN>()
+ 32 * pos.non_pawn_material() / 1024;
Value nnue = NNUE::evaluate(pos, true) * scale / 1024;
if (pos.is_chess960())
nnue += fix_FRC(pos);
return nnue;
};
// If there is PSQ imbalance we use the classical eval, but we switch to
// NNUE eval faster when shuffling or if the material on the board is high.
int r50 = pos.rule50_count();
Value psq = Value(abs(eg_value(pos.psq_score())));
bool classical = psq * 5 > (750 + pos.non_pawn_material() / 64) * (5 + r50);
v = classical ? Evaluation<NO_TRACE>(pos).value() // classical
: adjusted_NNUE(); // NNUE
}
// Damp down the evaluation linearly when shuffling
v = v * (100 - pos.rule50_count()) / 100;
@@ -1037,7 +1126,7 @@ Value Eval::evaluate(const Position& pos) {
/// descriptions and values of each evaluation term. Useful for debugging.
/// Trace scores are from white's point of view
std::string Eval::trace(const Position& pos) {
std::string Eval::trace(Position& pos) {
if (pos.checkers())
return "Final evaluation: none (in check)";
@@ -1049,44 +1138,55 @@ std::string Eval::trace(const Position& pos) {
std::memset(scores, 0, sizeof(scores));
pos.this_thread()->contempt = SCORE_ZERO; // Reset any dynamic contempt
pos.this_thread()->trend = SCORE_ZERO; // Reset any dynamic contempt
v = Evaluation<TRACE>(pos).value();
ss << std::showpoint << std::noshowpos << std::fixed << std::setprecision(2)
<< " Term | White | Black | Total \n"
<< " | MG EG | MG EG | MG EG \n"
<< " ------------+-------------+-------------+------------\n"
<< " Material | " << Term(MATERIAL)
<< " Imbalance | " << Term(IMBALANCE)
<< " Pawns | " << Term(PAWN)
<< " Knights | " << Term(KNIGHT)
<< " Bishops | " << Term(BISHOP)
<< " Rooks | " << Term(ROOK)
<< " Queens | " << Term(QUEEN)
<< " Mobility | " << Term(MOBILITY)
<< " King safety | " << Term(KING)
<< " Threats | " << Term(THREAT)
<< " Passed | " << Term(PASSED)
<< " Space | " << Term(SPACE)
<< " Winnable | " << Term(WINNABLE)
<< " ------------+-------------+-------------+------------\n"
<< " Total | " << Term(TOTAL);
v = pos.side_to_move() == WHITE ? v : -v;
ss << "\nClassical evaluation: " << to_cp(v) << " (white side)\n";
<< " Contributing terms for the classical eval:\n"
<< "+------------+-------------+-------------+-------------+\n"
<< "| Term | White | Black | Total |\n"
<< "| | MG EG | MG EG | MG EG |\n"
<< "+------------+-------------+-------------+-------------+\n"
<< "| Material | " << Term(MATERIAL)
<< "| Imbalance | " << Term(IMBALANCE)
<< "| Pawns | " << Term(PAWN)
<< "| Knights | " << Term(KNIGHT)
<< "| Bishops | " << Term(BISHOP)
<< "| Rooks | " << Term(ROOK)
<< "| Queens | " << Term(QUEEN)
<< "| Mobility | " << Term(MOBILITY)
<< "|King safety | " << Term(KING)
<< "| Threats | " << Term(THREAT)
<< "| Passed | " << Term(PASSED)
<< "| Space | " << Term(SPACE)
<< "| Winnable | " << Term(WINNABLE)
<< "+------------+-------------+-------------+-------------+\n"
<< "| Total | " << Term(TOTAL)
<< "+------------+-------------+-------------+-------------+\n";
if (Eval::useNNUE)
ss << '\n' << NNUE::trace(pos) << '\n';
ss << std::showpoint << std::showpos << std::fixed << std::setprecision(2) << std::setw(15);
v = pos.side_to_move() == WHITE ? v : -v;
ss << "\nClassical evaluation " << to_cp(v) << " (white side)\n";
if (Eval::useNNUE)
{
v = NNUE::evaluate(pos);
v = NNUE::evaluate(pos, false);
v = pos.side_to_move() == WHITE ? v : -v;
ss << "\nNNUE evaluation: " << to_cp(v) << " (white side)\n";
ss << "NNUE evaluation " << to_cp(v) << " (white side)\n";
}
v = evaluate(pos);
v = pos.side_to_move() == WHITE ? v : -v;
ss << "\nFinal evaluation: " << to_cp(v) << " (white side)\n";
ss << "Final evaluation " << to_cp(v) << " (white side)";
if (Eval::useNNUE)
ss << " [with scaled NNUE, hybrid, ...]";
ss << "\n";
return ss.str();
}
} // namespace Stockfish
+17 -9
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -20,35 +20,43 @@
#define EVALUATE_H_INCLUDED
#include <string>
#include <optional>
#include "types.h"
namespace Stockfish {
class Position;
namespace Eval {
std::string trace(const Position& pos);
std::string trace(Position& pos);
Value evaluate(const Position& pos);
extern bool useNNUE;
extern std::string eval_file_loaded;
void init_NNUE();
void verify_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 EvalFileDefaultName "nn-82215d0fd0df.nnue"
#define EvalFileDefaultName "nn-3475407dc199.nnue"
namespace NNUE {
Value evaluate(const Position& pos);
Value compute_eval(const Position& pos);
void update_eval(const Position& pos);
bool load_eval(std::string streamName, std::istream& stream);
std::string trace(Position& pos);
Value evaluate(const Position& pos, bool adjusted = false);
void init();
void verify();
bool load_eval(std::string name, std::istream& stream);
bool save_eval(std::ostream& stream);
bool save_eval(const std::optional<std::string>& filename);
} // namespace NNUE
} // namespace Eval
} // namespace Stockfish
#endif // #ifndef EVALUATE_H_INCLUDED
+5 -6
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -21,15 +21,14 @@
#include "bitboard.h"
#include "endgame.h"
#include "position.h"
#include "psqt.h"
#include "search.h"
#include "syzygy/tbprobe.h"
#include "thread.h"
#include "tt.h"
#include "uci.h"
#include "syzygy/tbprobe.h"
namespace PSQT {
void init();
}
using namespace Stockfish;
int main(int argc, char* argv[]) {
@@ -45,7 +44,7 @@ int main(int argc, char* argv[]) {
Endgames::init();
Threads.set(size_t(Options["Threads"]));
Search::clear(); // After threads are up
Eval::init_NNUE();
Eval::NNUE::init();
UCI::loop(argc, argv);
+32 -23
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -24,32 +24,39 @@
using namespace std;
namespace Stockfish {
namespace {
#define S(mg, eg) make_score(mg, eg)
// Polynomial material imbalance parameters
constexpr int QuadraticOurs[][PIECE_TYPE_NB] = {
// OUR PIECES
// pair pawn knight bishop rook queen
{1438 }, // Bishop pair
{ 40, 38 }, // Pawn
{ 32, 255, -62 }, // Knight OUR PIECES
{ 0, 104, 4, 0 }, // Bishop
{ -26, -2, 47, 105, -208 }, // Rook
{-189, 24, 117, 133, -134, -6 } // Queen
// 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
};
constexpr int QuadraticTheirs[][PIECE_TYPE_NB] = {
// THEIR PIECES
// pair pawn knight bishop rook queen
{ }, // Bishop pair
{ 36, }, // Pawn
{ 9, 63, }, // Knight OUR PIECES
{ 59, 65, 42, }, // Bishop
{ 46, 39, 24, -24, }, // Rook
{ 97, 100, -42, 137, 268, } // 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) };
@@ -67,7 +74,7 @@ namespace {
bool is_KBPsK(const Position& pos, Color us) {
return pos.non_pawn_material(us) == BishopValueMg
&& pos.count<PAWN >(us) >= 1;
&& pos.count<PAWN>(us) >= 1;
}
bool is_KQKRPs(const Position& pos, Color us) {
@@ -82,11 +89,11 @@ namespace {
/// piece type for both colors.
template<Color Us>
int imbalance(const int pieceCount[][PIECE_TYPE_NB]) {
Score imbalance(const int pieceCount[][PIECE_TYPE_NB]) {
constexpr Color Them = ~Us;
int bonus = 0;
Score bonus = SCORE_ZERO;
// Second-degree polynomial material imbalance, by Tord Romstad
for (int pt1 = NO_PIECE_TYPE; pt1 <= QUEEN; ++pt1)
@@ -213,8 +220,10 @@ Entry* probe(const Position& pos) {
{ 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->value = int16_t((imbalance<WHITE>(pieceCount) - imbalance<BLACK>(pieceCount)) / 16);
e->score = (imbalance<WHITE>(pieceCount) - imbalance<BLACK>(pieceCount)) / 16;
return e;
}
} // namespace Material
} // namespace Stockfish
+7 -7
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -24,7 +24,7 @@
#include "position.h"
#include "types.h"
namespace Material {
namespace Stockfish::Material {
/// Material::Entry contains various information about a material configuration.
/// It contains a material imbalance evaluation, a function pointer to a special
@@ -37,8 +37,8 @@ namespace Material {
struct Entry {
Score imbalance() const { return make_score(value, value); }
Phase game_phase() const { return gamePhase; }
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); }
@@ -57,15 +57,15 @@ struct Entry {
const EndgameBase<Value>* evaluationFunction;
const EndgameBase<ScaleFactor>* scalingFunction[COLOR_NB]; // Could be one for each
// side (e.g. KPKP, KBPsK)
int16_t value;
Score score;
int16_t gamePhase;
uint8_t factor[COLOR_NB];
Phase gamePhase;
};
typedef HashTable<Entry, 8192> Table;
Entry* probe(const Position& pos);
} // namespace Material
} // namespace Stockfish::Material
#endif // #ifndef MATERIAL_H_INCLUDED
+54 -53
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -51,7 +51,7 @@ typedef bool(*fun3_t)(HANDLE, CONST GROUP_AFFINITY*, PGROUP_AFFINITY);
#include <sys/mman.h>
#endif
#if defined(__APPLE__) || defined(__ANDROID__) || defined(__OpenBSD__) || (defined(__GLIBCXX__) && !defined(_GLIBCXX_HAVE_ALIGNED_ALLOC) && !defined(_WIN32))
#if defined(__APPLE__) || defined(__ANDROID__) || defined(__OpenBSD__) || (defined(__GLIBCXX__) && !defined(_GLIBCXX_HAVE_ALIGNED_ALLOC) && !defined(_WIN32)) || defined(__e2k__)
#define POSIXALIGNEDALLOC
#include <stdlib.h>
#endif
@@ -61,11 +61,13 @@ typedef bool(*fun3_t)(HANDLE, CONST GROUP_AFFINITY*, PGROUP_AFFINITY);
using namespace std;
namespace Stockfish {
namespace {
/// Version number. If Version is left empty, then compile date in the format
/// DD-MM-YY and show in engine_info.
const string Version = "12";
const string Version = "14";
/// Our fancy logging facility. The trick here is to replace cin.rdbuf() and
/// cout.rdbuf() with two Tie objects that tie cin and cout to a file stream. We
@@ -138,7 +140,7 @@ public:
/// the program was compiled) or "Stockfish <Version>", depending on whether
/// Version is empty.
const string engine_info(bool to_uci) {
string engine_info(bool to_uci) {
const string months("Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec");
string month, day, year;
@@ -161,7 +163,7 @@ const string engine_info(bool to_uci) {
/// compiler_info() returns a string trying to describe the compiler we use
const std::string compiler_info() {
std::string compiler_info() {
#define stringify2(x) #x
#define stringify(x) stringify2(x)
@@ -190,6 +192,18 @@ const std::string compiler_info() {
compiler += "(version ";
compiler += stringify(_MSC_FULL_VER) "." stringify(_MSC_BUILD);
compiler += ")";
#elif defined(__e2k__) && defined(__LCC__)
#define dot_ver2(n) \
compiler += (char)'.'; \
compiler += (char)('0' + (n) / 10); \
compiler += (char)('0' + (n) % 10);
compiler += "MCST LCC ";
compiler += "(version ";
compiler += std::to_string(__LCC__ / 100);
dot_ver2(__LCC__ % 100)
dot_ver2(__LCC_MINOR__)
compiler += ")";
#elif __GNUC__
compiler += "g++ (GNUC) ";
compiler += make_version_string(__GNUC__, __GNUC_MINOR__, __GNUC_PATCHLEVEL__);
@@ -357,27 +371,15 @@ void std_aligned_free(void* ptr) {
#endif
}
/// aligned_ttmem_alloc() will return suitably aligned memory, if possible using large pages.
/// The returned pointer is the aligned one, while the mem argument is the one that needs
/// to be passed to free. With c++17 some of this functionality could be simplified.
/// aligned_large_pages_alloc() will return suitably aligned memory, if possible using large pages.
#if defined(__linux__) && !defined(__ANDROID__)
#if defined(_WIN32)
void* aligned_ttmem_alloc(size_t allocSize, void*& mem) {
static void* aligned_large_pages_alloc_windows(size_t allocSize) {
constexpr size_t alignment = 2 * 1024 * 1024; // assumed 2MB page sizes
size_t size = ((allocSize + alignment - 1) / alignment) * alignment; // multiple of alignment
if (posix_memalign(&mem, alignment, size))
mem = nullptr;
#if defined(MADV_HUGEPAGE)
madvise(mem, allocSize, MADV_HUGEPAGE);
#endif
return mem;
}
#elif defined(_WIN64)
static void* aligned_ttmem_alloc_large_pages(size_t allocSize) {
#if !defined(_WIN64)
return nullptr;
#else
HANDLE hProcessToken { };
LUID luid { };
@@ -420,25 +422,14 @@ static void* aligned_ttmem_alloc_large_pages(size_t allocSize) {
CloseHandle(hProcessToken);
return mem;
#endif
}
void* aligned_ttmem_alloc(size_t allocSize, void*& mem) {
static bool firstCall = true;
void* aligned_large_pages_alloc(size_t allocSize) {
// Try to allocate large pages
mem = aligned_ttmem_alloc_large_pages(allocSize);
// Suppress info strings on the first call. The first call occurs before 'uci'
// is received and in that case this output confuses some GUIs.
if (!firstCall)
{
if (mem)
sync_cout << "info string Hash table allocation: Windows large pages used." << sync_endl;
else
sync_cout << "info string Hash table allocation: Windows large pages not used." << sync_endl;
}
firstCall = false;
void* mem = aligned_large_pages_alloc_windows(allocSize);
// Fall back to regular, page aligned, allocation if necessary
if (!mem)
@@ -449,37 +440,46 @@ void* aligned_ttmem_alloc(size_t allocSize, void*& mem) {
#else
void* aligned_ttmem_alloc(size_t allocSize, void*& mem) {
void* aligned_large_pages_alloc(size_t allocSize) {
constexpr size_t alignment = 64; // assumed cache line size
size_t size = allocSize + alignment - 1; // allocate some extra space
mem = malloc(size);
void* ret = reinterpret_cast<void*>((uintptr_t(mem) + alignment - 1) & ~uintptr_t(alignment - 1));
return ret;
#if defined(__linux__)
constexpr size_t alignment = 2 * 1024 * 1024; // assumed 2MB page size
#else
constexpr size_t alignment = 4096; // assumed small page size
#endif
// round up to multiples of alignment
size_t size = ((allocSize + alignment - 1) / alignment) * alignment;
void *mem = std_aligned_alloc(alignment, size);
#if defined(MADV_HUGEPAGE)
madvise(mem, size, MADV_HUGEPAGE);
#endif
return mem;
}
#endif
/// aligned_ttmem_free() will free the previously allocated ttmem
/// aligned_large_pages_free() will free the previously allocated ttmem
#if defined(_WIN64)
#if defined(_WIN32)
void aligned_ttmem_free(void* mem) {
void aligned_large_pages_free(void* mem) {
if (mem && !VirtualFree(mem, 0, MEM_RELEASE))
{
DWORD err = GetLastError();
std::cerr << "Failed to free transposition table. Error code: 0x" <<
std::hex << err << std::dec << std::endl;
std::cerr << "Failed to free large page memory. Error code: 0x"
<< std::hex << err
<< std::dec << std::endl;
exit(EXIT_FAILURE);
}
}
#else
void aligned_ttmem_free(void *mem) {
free(mem);
void aligned_large_pages_free(void *mem) {
std_aligned_free(mem);
}
#endif
@@ -604,11 +604,10 @@ namespace CommandLine {
string argv0; // path+name of the executable binary, as given by argv[0]
string binaryDirectory; // path of the executable directory
string workingDirectory; // path of the working directory
string pathSeparator; // Separator for our current OS
void init(int argc, char* argv[]) {
(void)argc;
string separator;
string pathSeparator;
// extract the path+name of the executable binary
argv0 = argv[0];
@@ -648,3 +647,5 @@ void init(int argc, char* argv[]) {
} // namespace CommandLine
} // namespace Stockfish
+71 -5
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -24,17 +24,20 @@
#include <ostream>
#include <string>
#include <vector>
#include <cstdint>
#include "types.h"
const std::string engine_info(bool to_uci = false);
const std::string compiler_info();
namespace Stockfish {
std::string engine_info(bool to_uci = false);
std::string compiler_info();
void prefetch(void* addr);
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_ttmem_alloc(size_t size, void*& mem);
void aligned_ttmem_free(void* mem); // nop if mem == nullptr
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 dbg_hit_on(bool b);
void dbg_hit_on(bool c, bool b);
@@ -64,6 +67,67 @@ std::ostream& operator<<(std::ostream&, SyncCout);
#define sync_endl std::endl << IO_UNLOCK
// align_ptr_up() : 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);
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 };
static inline const bool IsLittleEndian = (Le.c[0] == 4);
template <typename T>
class ValueListInserter {
public:
ValueListInserter(T* v, std::size_t& s) :
values(v),
size(&s)
{
}
void push_back(const T& value) { values[(*size)++] = value; }
private:
T* values;
std::size_t* size;
};
template <typename T, std::size_t MaxSize>
class ValueList {
public:
std::size_t size() const { return size_; }
void resize(std::size_t newSize) { size_ = newSize; }
void push_back(const T& value) { values_[size_++] = value; }
T& operator[](std::size_t index) { return values_[index]; }
T* begin() { return values_; }
T* end() { return values_ + size_; }
const T& operator[](std::size_t index) const { return values_[index]; }
const T* begin() const { return values_; }
const T* end() const { return values_ + size_; }
operator ValueListInserter<T>() { return ValueListInserter(values_, size_); }
void swap(ValueList& other) {
const std::size_t maxSize = std::max(size_, other.size_);
for (std::size_t i = 0; i < maxSize; ++i) {
std::swap(values_[i], other.values_[i]);
}
std::swap(size_, other.size_);
}
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).
@@ -131,4 +195,6 @@ namespace CommandLine {
extern std::string workingDirectory; // path of the working directory
}
} // namespace Stockfish
#endif // #ifndef MISC_H_INCLUDED
+71 -162
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -21,24 +21,21 @@
#include "movegen.h"
#include "position.h"
namespace Stockfish {
namespace {
template<GenType Type, Direction D>
ExtMove* make_promotions(ExtMove* moveList, Square to, Square ksq) {
ExtMove* make_promotions(ExtMove* moveList, Square to) {
if (Type == CAPTURES || Type == EVASIONS || Type == NON_EVASIONS)
{
*moveList++ = make<PROMOTION>(to - D, to, QUEEN);
if (attacks_bb<KNIGHT>(to) & ksq)
*moveList++ = make<PROMOTION>(to - D, to, KNIGHT);
}
if (Type == QUIETS || Type == EVASIONS || Type == NON_EVASIONS)
{
*moveList++ = make<PROMOTION>(to - D, to, ROOK);
*moveList++ = make<PROMOTION>(to - D, to, BISHOP);
if (!(attacks_bb<KNIGHT>(to) & ksq))
*moveList++ = make<PROMOTION>(to - D, to, KNIGHT);
*moveList++ = make<PROMOTION>(to - D, to, KNIGHT);
}
return moveList;
@@ -55,20 +52,16 @@ namespace {
constexpr Direction UpRight = (Us == WHITE ? NORTH_EAST : SOUTH_WEST);
constexpr Direction UpLeft = (Us == WHITE ? NORTH_WEST : SOUTH_EAST);
const Square ksq = pos.square<KING>(Them);
Bitboard emptySquares;
const Bitboard emptySquares = Type == QUIETS || Type == QUIET_CHECKS ? target : ~pos.pieces();
const Bitboard enemies = Type == EVASIONS ? pos.checkers()
: Type == CAPTURES ? target : pos.pieces(Them);
Bitboard pawnsOn7 = pos.pieces(Us, PAWN) & TRank7BB;
Bitboard pawnsNotOn7 = pos.pieces(Us, PAWN) & ~TRank7BB;
Bitboard enemies = (Type == EVASIONS ? pos.pieces(Them) & target:
Type == CAPTURES ? target : pos.pieces(Them));
// Single and double pawn pushes, no promotions
if (Type != CAPTURES)
{
emptySquares = (Type == QUIETS || Type == QUIET_CHECKS ? target : ~pos.pieces());
Bitboard b1 = shift<Up>(pawnsNotOn7) & emptySquares;
Bitboard b2 = shift<Up>(b1 & TRank3BB) & emptySquares;
@@ -80,33 +73,24 @@ namespace {
if (Type == QUIET_CHECKS)
{
b1 &= pawn_attacks_bb(Them, ksq);
b2 &= pawn_attacks_bb(Them, ksq);
// Add pawn pushes which give discovered check. This is possible only
// if the pawn is not on the same file as the enemy king, because we
// don't generate captures. Note that a possible discovery check
// promotion has been already generated amongst the captures.
Bitboard dcCandidateQuiets = pos.blockers_for_king(Them) & pawnsNotOn7;
if (dcCandidateQuiets)
{
Bitboard dc1 = shift<Up>(dcCandidateQuiets) & emptySquares & ~file_bb(ksq);
Bitboard dc2 = shift<Up>(dc1 & TRank3BB) & emptySquares;
b1 |= dc1;
b2 |= dc2;
}
// 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);
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);
}
while (b1)
{
Square to = pop_lsb(&b1);
Square to = pop_lsb(b1);
*moveList++ = make_move(to - Up, to);
}
while (b2)
{
Square to = pop_lsb(&b2);
Square to = pop_lsb(b2);
*moveList++ = make_move(to - Up - Up, to);
}
}
@@ -114,27 +98,24 @@ namespace {
// Promotions and underpromotions
if (pawnsOn7)
{
if (Type == CAPTURES)
emptySquares = ~pos.pieces();
if (Type == EVASIONS)
emptySquares &= target;
Bitboard b1 = shift<UpRight>(pawnsOn7) & enemies;
Bitboard b2 = shift<UpLeft >(pawnsOn7) & enemies;
Bitboard b3 = shift<Up >(pawnsOn7) & emptySquares;
if (Type == EVASIONS)
b3 &= target;
while (b1)
moveList = make_promotions<Type, UpRight>(moveList, pop_lsb(&b1), ksq);
moveList = make_promotions<Type, UpRight>(moveList, pop_lsb(b1));
while (b2)
moveList = make_promotions<Type, UpLeft >(moveList, pop_lsb(&b2), ksq);
moveList = make_promotions<Type, UpLeft >(moveList, pop_lsb(b2));
while (b3)
moveList = make_promotions<Type, Up >(moveList, pop_lsb(&b3), ksq);
moveList = make_promotions<Type, Up >(moveList, pop_lsb(b3));
}
// Standard and en-passant captures
// Standard and en passant captures
if (Type == CAPTURES || Type == EVASIONS || Type == NON_EVASIONS)
{
Bitboard b1 = shift<UpRight>(pawnsNotOn7) & enemies;
@@ -142,13 +123,13 @@ namespace {
while (b1)
{
Square to = pop_lsb(&b1);
Square to = pop_lsb(b1);
*moveList++ = make_move(to - UpRight, to);
}
while (b2)
{
Square to = pop_lsb(&b2);
Square to = pop_lsb(b2);
*moveList++ = make_move(to - UpLeft, to);
}
@@ -156,10 +137,8 @@ namespace {
{
assert(rank_of(pos.ep_square()) == relative_rank(Us, RANK_6));
// An en passant capture can be an evasion only if the checking piece
// is the double pushed pawn and so is in the target. Otherwise this
// is a discovery check and we are forced to do otherwise.
if (Type == EVASIONS && !(target & (pos.ep_square() - Up)))
// An en passant capture cannot resolve a discovered check
if (Type == EVASIONS && (target & (pos.ep_square() + Up)))
return moveList;
b1 = pawnsNotOn7 & pawn_attacks_bb(Them, pos.ep_square());
@@ -167,7 +146,7 @@ namespace {
assert(b1);
while (b1)
*moveList++ = make<ENPASSANT>(pop_lsb(&b1), pos.ep_square());
*moveList++ = make<EN_PASSANT>(pop_lsb(b1), pos.ep_square());
}
}
@@ -180,27 +159,19 @@ namespace {
static_assert(Pt != KING && Pt != PAWN, "Unsupported piece type in generate_moves()");
const Square* pl = pos.squares<Pt>(Us);
Bitboard bb = pos.pieces(Us, Pt);
for (Square from = *pl; from != SQ_NONE; from = *++pl)
while (bb)
{
if (Checks)
{
if ( (Pt == BISHOP || Pt == ROOK || Pt == QUEEN)
&& !(attacks_bb<Pt>(from) & target & pos.check_squares(Pt)))
continue;
if (pos.blockers_for_king(~Us) & from)
continue;
}
Square from = pop_lsb(bb);
Bitboard b = attacks_bb<Pt>(from, pos.pieces()) & target;
if (Checks)
// 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++ = make_move(from, pop_lsb(b));
}
return moveList;
@@ -209,45 +180,38 @@ namespace {
template<Color Us, GenType Type>
ExtMove* generate_all(const Position& pos, ExtMove* moveList) {
constexpr bool Checks = Type == QUIET_CHECKS; // Reduce template instantations
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;
switch (Type)
// Skip generating non-king moves when in double check
if (Type != EVASIONS || !more_than_one(pos.checkers()))
{
case CAPTURES:
target = pos.pieces(~Us);
break;
case QUIETS:
case QUIET_CHECKS:
target = ~pos.pieces();
break;
case EVASIONS:
{
Square checksq = lsb(pos.checkers());
target = between_bb(pos.square<KING>(Us), checksq) | checksq;
break;
}
case NON_EVASIONS:
target = ~pos.pieces(Us);
break;
default:
static_assert(true, "Unsupported type in generate_all()");
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_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);
if (Type != QUIET_CHECKS && Type != EVASIONS)
if (!Checks || pos.blockers_for_king(~Us) & ksq)
{
Square ksq = pos.square<KING>(Us);
Bitboard b = attacks_bb<KING>(ksq) & target;
while (b)
*moveList++ = make_move(ksq, pop_lsb(&b));
Bitboard b = attacks_bb<KING>(ksq) & (Type == EVASIONS ? ~pos.pieces(Us) : target);
if (Checks)
b &= ~attacks_bb<QUEEN>(pos.square<KING>(~Us));
if ((Type != CAPTURES) && pos.can_castle(Us & ANY_CASTLING))
while (b)
*moveList++ = make_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 } )
if (!pos.castling_impeded(cr) && pos.can_castle(cr))
*moveList++ = make<CASTLING>(ksq, pos.castling_rook_square(cr));
@@ -259,8 +223,10 @@ namespace {
} // namespace
/// <CAPTURES> Generates all pseudo-legal captures plus queen and checking knight promotions
/// <QUIETS> Generates all pseudo-legal non-captures and underpromotions(except checking knight)
/// <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.
@@ -268,8 +234,8 @@ namespace {
template<GenType Type>
ExtMove* generate(const Position& pos, ExtMove* moveList) {
static_assert(Type == CAPTURES || Type == QUIETS || Type == NON_EVASIONS, "Unsupported type in generate()");
assert(!pos.checkers());
static_assert(Type != LEGAL, "Unsupported type in generate()");
assert((Type == EVASIONS) == (bool)pos.checkers());
Color us = pos.side_to_move();
@@ -280,70 +246,11 @@ ExtMove* generate(const Position& pos, ExtMove* moveList) {
// Explicit template instantiations
template ExtMove* generate<CAPTURES>(const Position&, ExtMove*);
template ExtMove* generate<QUIETS>(const Position&, ExtMove*);
template ExtMove* generate<EVASIONS>(const Position&, ExtMove*);
template ExtMove* generate<QUIET_CHECKS>(const Position&, ExtMove*);
template ExtMove* generate<NON_EVASIONS>(const Position&, ExtMove*);
/// generate<QUIET_CHECKS> generates all pseudo-legal non-captures.
/// Returns a pointer to the end of the move list.
template<>
ExtMove* generate<QUIET_CHECKS>(const Position& pos, ExtMove* moveList) {
assert(!pos.checkers());
Color us = pos.side_to_move();
Bitboard dc = pos.blockers_for_king(~us) & pos.pieces(us) & ~pos.pieces(PAWN);
while (dc)
{
Square from = pop_lsb(&dc);
PieceType pt = type_of(pos.piece_on(from));
Bitboard b = attacks_bb(pt, from, pos.pieces()) & ~pos.pieces();
if (pt == KING)
b &= ~attacks_bb<QUEEN>(pos.square<KING>(~us));
while (b)
*moveList++ = make_move(from, pop_lsb(&b));
}
return us == WHITE ? generate_all<WHITE, QUIET_CHECKS>(pos, moveList)
: generate_all<BLACK, QUIET_CHECKS>(pos, moveList);
}
/// generate<EVASIONS> generates all pseudo-legal check evasions when the side
/// to move is in check. Returns a pointer to the end of the move list.
template<>
ExtMove* generate<EVASIONS>(const Position& pos, ExtMove* moveList) {
assert(pos.checkers());
Color us = pos.side_to_move();
Square ksq = pos.square<KING>(us);
Bitboard sliderAttacks = 0;
Bitboard sliders = pos.checkers() & ~pos.pieces(KNIGHT, PAWN);
// Find all the squares attacked by slider checkers. We will remove them from
// the king evasions in order to skip known illegal moves, which avoids any
// useless legality checks later on.
while (sliders)
sliderAttacks |= line_bb(ksq, pop_lsb(&sliders)) & ~pos.checkers();
// Generate evasions for king, capture and non capture moves
Bitboard b = attacks_bb<KING>(ksq) & ~pos.pieces(us) & ~sliderAttacks;
while (b)
*moveList++ = make_move(ksq, pop_lsb(&b));
if (more_than_one(pos.checkers()))
return moveList; // Double check, only a king move can save the day
// Generate blocking evasions or captures of the checking piece
return us == WHITE ? generate_all<WHITE, EVASIONS>(pos, moveList)
: generate_all<BLACK, EVASIONS>(pos, moveList);
}
/// generate<LEGAL> generates all the legal moves in the given position
template<>
@@ -357,7 +264,7 @@ ExtMove* generate<LEGAL>(const Position& pos, ExtMove* moveList) {
moveList = pos.checkers() ? generate<EVASIONS >(pos, moveList)
: generate<NON_EVASIONS>(pos, moveList);
while (cur != moveList)
if ( (pinned || from_sq(*cur) == ksq || type_of(*cur) == ENPASSANT)
if ( ((pinned && pinned & from_sq(*cur)) || from_sq(*cur) == ksq || type_of(*cur) == EN_PASSANT)
&& !pos.legal(*cur))
*cur = (--moveList)->move;
else
@@ -365,3 +272,5 @@ ExtMove* generate<LEGAL>(const Position& pos, ExtMove* moveList) {
return moveList;
}
} // namespace Stockfish
+5 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -23,6 +23,8 @@
#include "types.h"
namespace Stockfish {
class Position;
enum GenType {
@@ -70,4 +72,6 @@ private:
ExtMove moveList[MAX_MOVES], *last;
};
} // namespace Stockfish
#endif // #ifndef MOVEGEN_H_INCLUDED
+15 -10
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -20,6 +20,8 @@
#include "movepick.h"
namespace Stockfish {
namespace {
enum Stages {
@@ -73,8 +75,9 @@ MovePicker::MovePicker(const Position& p, Move ttm, Depth d, const ButterflyHist
assert(d <= 0);
stage = (pos.checkers() ? EVASION_TT : QSEARCH_TT) +
!(ttm && (depth > DEPTH_QS_RECAPTURES || to_sq(ttm) == recaptureSquare)
&& pos.pseudo_legal(ttm));
!( ttm
&& (pos.checkers() || depth > DEPTH_QS_RECAPTURES || to_sq(ttm) == recaptureSquare)
&& pos.pseudo_legal(ttm));
}
/// MovePicker constructor for ProbCut: we generate captures with SEE greater
@@ -98,15 +101,15 @@ void MovePicker::score() {
static_assert(Type == CAPTURES || Type == QUIETS || Type == EVASIONS, "Wrong type");
for (auto& m : *this)
if (Type == CAPTURES)
if constexpr (Type == CAPTURES)
m.value = int(PieceValue[MG][pos.piece_on(to_sq(m))]) * 6
+ (*captureHistory)[pos.moved_piece(m)][to_sq(m)][type_of(pos.piece_on(to_sq(m)))];
else if (Type == QUIETS)
else if constexpr (Type == QUIETS)
m.value = (*mainHistory)[pos.side_to_move()][from_to(m)]
+ 2 * (*continuationHistory[0])[pos.moved_piece(m)][to_sq(m)]
+ 2 * (*continuationHistory[1])[pos.moved_piece(m)][to_sq(m)]
+ 2 * (*continuationHistory[3])[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)]
+ (ply < MAX_LPH ? std::min(4, depth / 3) * (*lowPlyHistory)[ply][from_to(m)] : 0);
@@ -116,8 +119,8 @@ void MovePicker::score() {
m.value = PieceValue[MG][pos.piece_on(to_sq(m))]
- Value(type_of(pos.moved_piece(m)));
else
m.value = (*mainHistory)[pos.side_to_move()][from_to(m)]
+ (*continuationHistory[0])[pos.moved_piece(m)][to_sq(m)]
m.value = (*mainHistory)[pos.side_to_move()][from_to(m)]
+ 2 * (*continuationHistory[0])[pos.moved_piece(m)][to_sq(m)]
- (1 << 28);
}
}
@@ -141,7 +144,7 @@ Move MovePicker::select(Pred filter) {
}
/// 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
/// 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) {
@@ -262,3 +265,5 @@ top:
assert(false);
return MOVE_NONE; // Silence warning
}
} // namespace Stockfish
+11 -7
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -27,6 +27,8 @@
#include "position.h"
#include "types.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
@@ -84,7 +86,7 @@ enum StatsType { NoCaptures, Captures };
/// 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
typedef Stats<int16_t, 10692, COLOR_NB, int(SQUARE_NB) * int(SQUARE_NB)> ButterflyHistory;
typedef Stats<int16_t, 13365, COLOR_NB, int(SQUARE_NB) * int(SQUARE_NB)> ButterflyHistory;
/// At higher depths LowPlyHistory records successful quiet moves near the root
/// and quiet moves which are/were in the PV (ttPv). It is cleared with each new
@@ -108,12 +110,12 @@ typedef Stats<int16_t, 29952, PIECE_NB, SQUARE_NB> PieceToHistory;
typedef Stats<PieceToHistory, NOT_USED, PIECE_NB, SQUARE_NB> ContinuationHistory;
/// MovePicker class is used to pick one pseudo legal move at a time from the
/// 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.
/// 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 };
@@ -156,4 +158,6 @@ private:
ExtMove moves[MAX_MOVES];
};
} // namespace Stockfish
#endif // #ifndef MOVEPICK_H_INCLUDED
@@ -1,54 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 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/>.
*/
// Definition of input features and network structure used in NNUE evaluation function
#ifndef NNUE_HALFKP_256X2_32_32_H_INCLUDED
#define NNUE_HALFKP_256X2_32_32_H_INCLUDED
#include "../features/feature_set.h"
#include "../features/half_kp.h"
#include "../layers/input_slice.h"
#include "../layers/affine_transform.h"
#include "../layers/clipped_relu.h"
namespace Eval::NNUE {
// Input features used in evaluation function
using RawFeatures = Features::FeatureSet<
Features::HalfKP<Features::Side::kFriend>>;
// Number of input feature dimensions after conversion
constexpr IndexType kTransformedFeatureDimensions = 256;
namespace Layers {
// Define network structure
using InputLayer = InputSlice<kTransformedFeatureDimensions * 2>;
using HiddenLayer1 = ClippedReLU<AffineTransform<InputLayer, 32>>;
using HiddenLayer2 = ClippedReLU<AffineTransform<HiddenLayer1, 32>>;
using OutputLayer = AffineTransform<HiddenLayer2, 1>;
} // namespace Layers
using Network = Layers::OutputLayer;
} // namespace Eval::NNUE
#endif // #ifndef NNUE_HALFKP_256X2_32_32_H_INCLUDED
+360 -85
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -20,149 +20,424 @@
#include <iostream>
#include <set>
#include <sstream>
#include <iomanip>
#include <fstream>
#include "../evaluate.h"
#include "../position.h"
#include "../misc.h"
#include "../uci.h"
#include "../types.h"
#include "evaluate_nnue.h"
namespace Eval::NNUE {
uint32_t kpp_board_index[PIECE_NB][COLOR_NB] = {
// convention: W - us, B - them
// viewed from other side, W and B are reversed
{ PS_NONE, PS_NONE },
{ PS_W_PAWN, PS_B_PAWN },
{ PS_W_KNIGHT, PS_B_KNIGHT },
{ PS_W_BISHOP, PS_B_BISHOP },
{ PS_W_ROOK, PS_B_ROOK },
{ PS_W_QUEEN, PS_B_QUEEN },
{ PS_W_KING, PS_B_KING },
{ PS_NONE, PS_NONE },
{ PS_NONE, PS_NONE },
{ PS_B_PAWN, PS_W_PAWN },
{ PS_B_KNIGHT, PS_W_KNIGHT },
{ PS_B_BISHOP, PS_W_BISHOP },
{ PS_B_ROOK, PS_W_ROOK },
{ PS_B_QUEEN, PS_W_QUEEN },
{ PS_B_KING, PS_W_KING },
{ PS_NONE, PS_NONE }
};
namespace Stockfish::Eval::NNUE {
// Input feature converter
AlignedPtr<FeatureTransformer> feature_transformer;
LargePagePtr<FeatureTransformer> featureTransformer;
// Evaluation function
AlignedPtr<Network> network;
AlignedPtr<Network> network[LayerStacks];
// Evaluation function file name
std::string fileName;
std::string netDescription;
namespace Detail {
// Initialize the evaluation function parameters
template <typename T>
void Initialize(AlignedPtr<T>& pointer) {
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) {
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 ReadParameters(std::istream& stream, const AlignedPtr<T>& pointer) {
bool read_parameters(std::istream& stream, T& reference) {
std::uint32_t header;
header = read_little_endian<std::uint32_t>(stream);
if (!stream || header != T::GetHashValue()) return false;
return pointer->ReadParameters(stream);
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_little_endian<std::uint32_t>(stream, T::get_hash_value());
return reference.write_parameters(stream);
}
} // namespace Detail
// Initialize the evaluation function parameters
void Initialize() {
void initialize() {
Detail::Initialize(feature_transformer);
Detail::Initialize(network);
Detail::initialize(featureTransformer);
for (std::size_t i = 0; i < LayerStacks; ++i)
Detail::initialize(network[i]);
}
// Read network header
bool ReadHeader(std::istream& stream, std::uint32_t* hash_value, std::string* architecture)
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);
*hash_value = 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 != kVersion) return false;
architecture->resize(size);
stream.read(&(*architecture)[0], size);
if (!stream || version != Version) return false;
desc->resize(size);
stream.read(&(*desc)[0], size);
return !stream.fail();
}
// Write network header
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, desc.size());
stream.write(&desc[0], desc.size());
return !stream.fail();
}
// Read network parameters
bool ReadParameters(std::istream& stream) {
bool read_parameters(std::istream& stream) {
std::uint32_t hash_value;
std::string architecture;
if (!ReadHeader(stream, &hash_value, &architecture)) return false;
if (hash_value != kHashValue) return false;
if (!Detail::ReadParameters(stream, feature_transformer)) return false;
if (!Detail::ReadParameters(stream, network)) return false;
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;
for (std::size_t i = 0; i < LayerStacks; ++i)
if (!Detail::read_parameters(stream, *(network[i]))) return false;
return stream && stream.peek() == std::ios::traits_type::eof();
}
// Proceed with the difference calculation if possible
static void UpdateAccumulatorIfPossible(const Position& pos) {
// Write network parameters
bool write_parameters(std::ostream& stream) {
feature_transformer->UpdateAccumulatorIfPossible(pos);
}
// Calculate the evaluation value
static Value ComputeScore(const Position& pos, bool refresh) {
auto& accumulator = pos.state()->accumulator;
if (!refresh && accumulator.computed_score) {
return accumulator.score;
}
alignas(kCacheLineSize) TransformedFeatureType
transformed_features[FeatureTransformer::kBufferSize];
feature_transformer->Transform(pos, transformed_features, refresh);
alignas(kCacheLineSize) char buffer[Network::kBufferSize];
const auto output = network->Propagate(transformed_features, buffer);
auto score = static_cast<Value>(output[0] / FV_SCALE);
accumulator.score = score;
accumulator.computed_score = true;
return accumulator.score;
}
// Load eval, from a file stream or a memory stream
bool load_eval(std::string streamName, std::istream& stream) {
Initialize();
fileName = streamName;
return ReadParameters(stream);
if (!write_header(stream, HashValue, netDescription)) return false;
if (!Detail::write_parameters(stream, *featureTransformer)) return false;
for (std::size_t i = 0; i < LayerStacks; ++i)
if (!Detail::write_parameters(stream, *(network[i]))) return false;
return (bool)stream;
}
// Evaluation function. Perform differential calculation.
Value evaluate(const Position& pos) {
return ComputeScore(pos, false);
Value evaluate(const Position& pos, bool adjusted) {
// 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)];
char bufferUnaligned[Network::BufferSize + alignment];
auto* transformedFeatures = align_ptr_up<alignment>(&transformedFeaturesUnaligned[0]);
auto* buffer = align_ptr_up<alignment>(&bufferUnaligned[0]);
#else
alignas(alignment)
TransformedFeatureType transformedFeatures[FeatureTransformer::BufferSize];
alignas(alignment) char buffer[Network::BufferSize];
#endif
ASSERT_ALIGNED(transformedFeatures, alignment);
ASSERT_ALIGNED(buffer, alignment);
const std::size_t bucket = (pos.count<ALL_PIECES>() - 1) / 4;
const auto psqt = featureTransformer->transform(pos, transformedFeatures, bucket);
const auto output = network[bucket]->propagate(transformedFeatures, buffer);
int materialist = psqt;
int positional = output[0];
int delta_npm = abs(pos.non_pawn_material(WHITE) - pos.non_pawn_material(BLACK));
int entertainment = (adjusted && delta_npm <= BishopValueMg - KnightValueMg ? 7 : 0);
int A = 128 - entertainment;
int B = 128 + entertainment;
int sum = (A * materialist + B * positional) / 128;
return static_cast<Value>( sum / OutputScale );
}
// Evaluation function. Perform full calculation.
Value compute_eval(const Position& pos) {
return ComputeScore(pos, true);
struct NnueEvalTrace {
static_assert(LayerStacks == PSQTBuckets);
Value psqt[LayerStacks];
Value positional[LayerStacks];
std::size_t correctBucket;
};
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)];
char bufferUnaligned[Network::BufferSize + alignment];
auto* transformedFeatures = align_ptr_up<alignment>(&transformedFeaturesUnaligned[0]);
auto* buffer = align_ptr_up<alignment>(&bufferUnaligned[0]);
#else
alignas(alignment)
TransformedFeatureType transformedFeatures[FeatureTransformer::BufferSize];
alignas(alignment) char buffer[Network::BufferSize];
#endif
ASSERT_ALIGNED(transformedFeatures, alignment);
ASSERT_ALIGNED(buffer, alignment);
NnueEvalTrace t{};
t.correctBucket = (pos.count<ALL_PIECES>() - 1) / 4;
for (std::size_t bucket = 0; bucket < LayerStacks; ++bucket) {
const auto psqt = featureTransformer->transform(pos, transformedFeatures, bucket);
const auto output = network[bucket]->propagate(transformedFeatures, buffer);
int materialist = psqt;
int positional = output[0];
t.psqt[bucket] = static_cast<Value>( materialist / OutputScale );
t.positional[bucket] = static_cast<Value>( positional / OutputScale );
}
return t;
}
// Proceed with the difference calculation if possible
void update_eval(const Position& pos) {
UpdateAccumulatorIfPossible(pos);
static const std::string PieceToChar(" PNBRQK pnbrqk");
// Requires the buffer to have capacity for at least 5 values
static void format_cp_compact(Value v, char* buffer) {
buffer[0] = (v < 0 ? '-' : v > 0 ? '+' : ' ');
int cp = std::abs(100 * v / PawnValueEg);
if (cp >= 10000)
{
buffer[1] = '0' + cp / 10000; cp %= 10000;
buffer[2] = '0' + cp / 1000; cp %= 1000;
buffer[3] = '0' + cp / 100; cp %= 100;
buffer[4] = ' ';
}
else if (cp >= 1000)
{
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[2] = '.';
buffer[3] = '0' + cp / 10; cp %= 10;
buffer[4] = '0' + cp / 1;
}
}
} // namespace Eval::NNUE
// Requires the buffer to have capacity for at least 7 values
static void format_cp_aligned_dot(Value v, char* buffer) {
buffer[0] = (v < 0 ? '-' : v > 0 ? '+' : ' ');
int cp = std::abs(100 * v / PawnValueEg);
if (cp >= 10000)
{
buffer[1] = '0' + cp / 10000; cp %= 10000;
buffer[2] = '0' + cp / 1000; cp %= 1000;
buffer[3] = '0' + cp / 100; cp %= 100;
buffer[4] = '.';
buffer[5] = '0' + cp / 10; cp %= 10;
buffer[6] = '0' + cp;
}
else if (cp >= 1000)
{
buffer[1] = ' ';
buffer[2] = '0' + cp / 1000; cp %= 1000;
buffer[3] = '0' + cp / 100; cp %= 100;
buffer[4] = '.';
buffer[5] = '0' + cp / 10; cp %= 10;
buffer[6] = '0' + cp;
}
else
{
buffer[1] = ' ';
buffer[2] = ' ';
buffer[3] = '0' + cp / 100; cp %= 100;
buffer[4] = '.';
buffer[5] = '0' + cp / 10; cp %= 10;
buffer[6] = '0' + cp / 1;
}
}
// 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) {
std::stringstream ss;
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';
// 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]);
};
// 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;
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)
{
auto st = pos.state();
pos.remove_piece(sq);
st->accumulator.computed[WHITE] = false;
st->accumulator.computed[BLACK] = false;
Value eval = evaluate(pos);
eval = pos.side_to_move() == WHITE ? eval : -eval;
v = base - eval;
pos.put_piece(pc, sq);
st->accumulator.computed[WHITE] = false;
st->accumulator.computed[BLACK] = false;
}
writeSquare(f, r, pc, v);
}
ss << " NNUE derived piece values:\n";
for (int row = 0; row < 3*8+1; ++row)
ss << board[row] << '\n';
ss << '\n';
auto t = trace_evaluate(pos);
ss << " NNUE network contributions "
<< (pos.side_to_move() == WHITE ? "(White to move)" : "(Black to move)") << std::endl
<< "+------------+------------+------------+------------+\n"
<< "| Bucket | Material | Positional | Total |\n"
<< "| | (PSQT) | (Layers) | |\n"
<< "+------------+------------+------------+------------+\n";
for (std::size_t bucket = 0; bucket < LayerStacks; ++bucket)
{
char buffer[3][8];
std::memset(buffer, '\0', sizeof(buffer));
format_cp_aligned_dot(t.psqt[bucket], buffer[0]);
format_cp_aligned_dot(t.positional[bucket], buffer[1]);
format_cp_aligned_dot(t.psqt[bucket] + t.positional[bucket], buffer[2]);
ss << "| " << bucket << " "
<< " | " << buffer[0] << " "
<< " | " << buffer[1] << " "
<< " | " << buffer[2] << " "
<< " |";
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) {
initialize();
fileName = name;
return read_parameters(stream);
}
// Save eval, to a file stream or a memory stream
bool save_eval(std::ostream& stream) {
if (fileName.empty())
return false;
return write_parameters(stream);
}
/// Save eval, to a file given by its name
bool save_eval(const std::optional<std::string>& filename) {
std::string actualFilename;
std::string msg;
if (filename.has_value())
actualFilename = filename.value();
else
{
if (eval_file_loaded != EvalFileDefaultName)
{
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;
}
actualFilename = EvalFileDefaultName;
}
std::ofstream stream(actualFilename, std::ios_base::binary);
bool saved = save_eval(stream);
msg = saved ? "Network saved successfully to " + actualFilename
: "Failed to export a net";
sync_cout << msg << sync_endl;
return saved;
}
} // namespace Stockfish::Eval::NNUE
+16 -5
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@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -25,11 +25,11 @@
#include <memory>
namespace Eval::NNUE {
namespace Stockfish::Eval::NNUE {
// Hash value of evaluation function structure
constexpr std::uint32_t kHashValue =
FeatureTransformer::GetHashValue() ^ Network::GetHashValue();
constexpr std::uint32_t HashValue =
FeatureTransformer::get_hash_value() ^ Network::get_hash_value();
// Deleter for automating release of memory area
template <typename T>
@@ -40,9 +40,20 @@ namespace Eval::NNUE {
}
};
template <typename T>
struct LargePageDeleter {
void operator()(T* ptr) const {
ptr->~T();
aligned_large_pages_free(ptr);
}
};
template <typename T>
using AlignedPtr = std::unique_ptr<T, AlignedDeleter<T>>;
} // namespace Eval::NNUE
template <typename T>
using LargePagePtr = std::unique_ptr<T, LargePageDeleter<T>>;
} // namespace Stockfish::Eval::NNUE
#endif // #ifndef NNUE_EVALUATE_NNUE_H_INCLUDED
-134
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@@ -1,134 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 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/>.
*/
// A class template that represents the input feature set of the NNUE evaluation function
#ifndef NNUE_FEATURE_SET_H_INCLUDED
#define NNUE_FEATURE_SET_H_INCLUDED
#include "features_common.h"
#include <array>
namespace Eval::NNUE::Features {
// Class template that represents a list of values
template <typename T, T... Values>
struct CompileTimeList;
template <typename T, T First, T... Remaining>
struct CompileTimeList<T, First, Remaining...> {
static constexpr bool Contains(T value) {
return value == First || CompileTimeList<T, Remaining...>::Contains(value);
}
static constexpr std::array<T, sizeof...(Remaining) + 1>
kValues = {{First, Remaining...}};
};
// Base class of feature set
template <typename Derived>
class FeatureSetBase {
public:
// Get a list of indices for active features
template <typename IndexListType>
static void AppendActiveIndices(
const Position& pos, TriggerEvent trigger, IndexListType active[2]) {
for (Color perspective : { WHITE, BLACK }) {
Derived::CollectActiveIndices(
pos, trigger, perspective, &active[perspective]);
}
}
// Get a list of indices for recently changed features
template <typename PositionType, typename IndexListType>
static void AppendChangedIndices(
const PositionType& pos, TriggerEvent trigger,
IndexListType removed[2], IndexListType added[2], bool reset[2]) {
const auto& dp = pos.state()->dirtyPiece;
if (dp.dirty_num == 0) return;
for (Color perspective : { WHITE, BLACK }) {
reset[perspective] = false;
switch (trigger) {
case TriggerEvent::kFriendKingMoved:
reset[perspective] = dp.piece[0] == make_piece(perspective, KING);
break;
default:
assert(false);
break;
}
if (reset[perspective]) {
Derived::CollectActiveIndices(
pos, trigger, perspective, &added[perspective]);
} else {
Derived::CollectChangedIndices(
pos, trigger, perspective,
&removed[perspective], &added[perspective]);
}
}
}
};
// Class template that represents the feature set
template <typename FeatureType>
class FeatureSet<FeatureType> : public FeatureSetBase<FeatureSet<FeatureType>> {
public:
// Hash value embedded in the evaluation file
static constexpr std::uint32_t kHashValue = FeatureType::kHashValue;
// Number of feature dimensions
static constexpr IndexType kDimensions = FeatureType::kDimensions;
// Maximum number of simultaneously active features
static constexpr IndexType kMaxActiveDimensions =
FeatureType::kMaxActiveDimensions;
// Trigger for full calculation instead of difference calculation
using SortedTriggerSet =
CompileTimeList<TriggerEvent, FeatureType::kRefreshTrigger>;
static constexpr auto kRefreshTriggers = SortedTriggerSet::kValues;
private:
// Get a list of indices for active features
static void CollectActiveIndices(
const Position& pos, const TriggerEvent trigger, const Color perspective,
IndexList* const active) {
if (FeatureType::kRefreshTrigger == trigger) {
FeatureType::AppendActiveIndices(pos, perspective, active);
}
}
// Get a list of indices for recently changed features
static void CollectChangedIndices(
const Position& pos, const TriggerEvent trigger, const Color perspective,
IndexList* const removed, IndexList* const added) {
if (FeatureType::kRefreshTrigger == trigger) {
FeatureType::AppendChangedIndices(pos, perspective, removed, added);
}
}
// Make the base class and the class template that recursively uses itself a friend
friend class FeatureSetBase<FeatureSet>;
template <typename... FeatureTypes>
friend class FeatureSet;
};
} // namespace Eval::NNUE::Features
#endif // #ifndef NNUE_FEATURE_SET_H_INCLUDED
+85
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@@ -0,0 +1,85 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 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/>.
*/
//Definition of input features HalfKAv2 of NNUE evaluation function
#include "half_ka_v2.h"
#include "../../position.h"
namespace Stockfish::Eval::NNUE::Features {
// Orient a square according to perspective (rotates by 180 for black)
inline Square HalfKAv2::orient(Color perspective, Square s) {
return Square(int(s) ^ (bool(perspective) * 56));
}
// Index of a feature for a given king position and another piece on some square
inline IndexType HalfKAv2::make_index(Color perspective, Square s, Piece pc, Square ksq) {
return IndexType(orient(perspective, s) + PieceSquareIndex[perspective][pc] + PS_NB * ksq);
}
// Get a list of indices for active features
void HalfKAv2::append_active_indices(
const Position& pos,
Color perspective,
ValueListInserter<IndexType> active
) {
Square ksq = orient(perspective, 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));
}
}
// append_changed_indices() : get a list of indices for recently changed features
void HalfKAv2::append_changed_indices(
Square ksq,
StateInfo* st,
Color perspective,
ValueListInserter<IndexType> removed,
ValueListInserter<IndexType> added
) {
const auto& dp = st->dirtyPiece;
Square oriented_ksq = orient(perspective, ksq);
for (int i = 0; i < dp.dirty_num; ++i) {
Piece pc = dp.piece[i];
if (dp.from[i] != SQ_NONE)
removed.push_back(make_index(perspective, dp.from[i], pc, oriented_ksq));
if (dp.to[i] != SQ_NONE)
added.push_back(make_index(perspective, dp.to[i], pc, oriented_ksq));
}
}
int HalfKAv2::update_cost(StateInfo* st) {
return st->dirtyPiece.dirty_num;
}
int HalfKAv2::refresh_cost(const Position& pos) {
return pos.count<ALL_PIECES>();
}
bool HalfKAv2::requires_refresh(StateInfo* st, Color perspective) {
return st->dirtyPiece.piece[0] == make_piece(perspective, KING);
}
} // namespace Stockfish::Eval::NNUE::Features
+111
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@@ -0,0 +1,111 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 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/>.
*/
//Definition of input features HalfKP of NNUE evaluation function
#ifndef NNUE_FEATURES_HALF_KA_V2_H_INCLUDED
#define NNUE_FEATURES_HALF_KA_V2_H_INCLUDED
#include "../nnue_common.h"
#include "../../evaluate.h"
#include "../../misc.h"
namespace Stockfish {
struct StateInfo;
}
namespace Stockfish::Eval::NNUE::Features {
// Feature HalfKAv2: Combination of the position of own king
// and the position of pieces
class HalfKAv2 {
// 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
};
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 }
};
// Orient a square according to perspective (rotates by 180 for black)
static Square orient(Color perspective, Square s);
// Index of a feature for a given king position and another piece on some square
static IndexType make_index(Color perspective, Square s, Piece pc, Square ksq);
public:
// Feature name
static constexpr const char* Name = "HalfKAv2(Friend)";
// Hash value embedded in the evaluation file
static constexpr std::uint32_t HashValue = 0x5f234cb8u;
// Number of feature dimensions
static constexpr IndexType Dimensions =
static_cast<IndexType>(SQUARE_NB) * static_cast<IndexType>(PS_NB);
// Maximum number of simultaneously active features.
static constexpr IndexType MaxActiveDimensions = 32;
// Get a list of indices for active features
static void append_active_indices(
const Position& pos,
Color perspective,
ValueListInserter<IndexType> active);
// Get a list of indices for recently changed features
static void append_changed_indices(
Square ksq,
StateInfo* st,
Color perspective,
ValueListInserter<IndexType> removed,
ValueListInserter<IndexType> added);
// Returns the cost of updating one perspective, the most costly one.
// Assumes no refresh needed.
static int update_cost(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.
static bool requires_refresh(StateInfo* st, Color perspective);
};
} // namespace Stockfish::Eval::NNUE::Features
#endif // #ifndef NNUE_FEATURES_HALF_KA_V2_H_INCLUDED
-72
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@@ -1,72 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 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/>.
*/
//Definition of input features HalfKP of NNUE evaluation function
#include "half_kp.h"
#include "index_list.h"
namespace Eval::NNUE::Features {
// Orient a square according to perspective (rotates by 180 for black)
inline Square orient(Color perspective, Square s) {
return Square(int(s) ^ (bool(perspective) * 63));
}
// Find the index of the feature quantity from the king position and PieceSquare
template <Side AssociatedKing>
inline IndexType HalfKP<AssociatedKing>::MakeIndex(
Color perspective, Square s, Piece pc, Square ksq) {
return IndexType(orient(perspective, s) + kpp_board_index[pc][perspective] + PS_END * ksq);
}
// Get a list of indices for active features
template <Side AssociatedKing>
void HalfKP<AssociatedKing>::AppendActiveIndices(
const Position& pos, Color perspective, IndexList* active) {
Square ksq = orient(perspective, pos.square<KING>(perspective));
Bitboard bb = pos.pieces() & ~pos.pieces(KING);
while (bb) {
Square s = pop_lsb(&bb);
active->push_back(MakeIndex(perspective, s, pos.piece_on(s), ksq));
}
}
// Get a list of indices for recently changed features
template <Side AssociatedKing>
void HalfKP<AssociatedKing>::AppendChangedIndices(
const Position& pos, Color perspective,
IndexList* removed, IndexList* added) {
Square ksq = orient(perspective, pos.square<KING>(perspective));
const auto& dp = pos.state()->dirtyPiece;
for (int i = 0; i < dp.dirty_num; ++i) {
Piece pc = dp.piece[i];
if (type_of(pc) == KING) continue;
if (dp.from[i] != SQ_NONE)
removed->push_back(MakeIndex(perspective, dp.from[i], pc, ksq));
if (dp.to[i] != SQ_NONE)
added->push_back(MakeIndex(perspective, dp.to[i], pc, ksq));
}
}
template class HalfKP<Side::kFriend>;
} // namespace Eval::NNUE::Features
-63
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@@ -1,63 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 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/>.
*/
//Definition of input features HalfKP of NNUE evaluation function
#ifndef NNUE_FEATURES_HALF_KP_H_INCLUDED
#define NNUE_FEATURES_HALF_KP_H_INCLUDED
#include "../../evaluate.h"
#include "features_common.h"
namespace Eval::NNUE::Features {
// Feature HalfKP: Combination of the position of own king
// and the position of pieces other than kings
template <Side AssociatedKing>
class HalfKP {
public:
// Feature name
static constexpr const char* kName = "HalfKP(Friend)";
// Hash value embedded in the evaluation file
static constexpr std::uint32_t kHashValue =
0x5D69D5B9u ^ (AssociatedKing == Side::kFriend);
// Number of feature dimensions
static constexpr IndexType kDimensions =
static_cast<IndexType>(SQUARE_NB) * static_cast<IndexType>(PS_END);
// Maximum number of simultaneously active features
static constexpr IndexType kMaxActiveDimensions = 30; // Kings don't count
// Trigger for full calculation instead of difference calculation
static constexpr TriggerEvent kRefreshTrigger = TriggerEvent::kFriendKingMoved;
// Get a list of indices for active features
static void AppendActiveIndices(const Position& pos, Color perspective,
IndexList* active);
// Get a list of indices for recently changed features
static void AppendChangedIndices(const Position& pos, Color perspective,
IndexList* removed, IndexList* added);
private:
// Index of a feature for a given king position and another piece on some square
static IndexType MakeIndex(Color perspective, Square s, Piece pc, Square sq_k);
};
} // namespace Eval::NNUE::Features
#endif // #ifndef NNUE_FEATURES_HALF_KP_H_INCLUDED
-64
View File
@@ -1,64 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 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/>.
*/
// Definition of index list of input features
#ifndef NNUE_FEATURES_INDEX_LIST_H_INCLUDED
#define NNUE_FEATURES_INDEX_LIST_H_INCLUDED
#include "../../position.h"
#include "../nnue_architecture.h"
namespace Eval::NNUE::Features {
// Class template used for feature index list
template <typename T, std::size_t MaxSize>
class ValueList {
public:
std::size_t size() const { return size_; }
void resize(std::size_t size) { size_ = size; }
void push_back(const T& value) { values_[size_++] = value; }
T& operator[](std::size_t index) { return values_[index]; }
T* begin() { return values_; }
T* end() { return values_ + size_; }
const T& operator[](std::size_t index) const { return values_[index]; }
const T* begin() const { return values_; }
const T* end() const { return values_ + size_; }
void swap(ValueList& other) {
const std::size_t max_size = std::max(size_, other.size_);
for (std::size_t i = 0; i < max_size; ++i) {
std::swap(values_[i], other.values_[i]);
}
std::swap(size_, other.size_);
}
private:
T values_[MaxSize];
std::size_t size_ = 0;
};
//Type of feature index list
class IndexList
: public ValueList<IndexType, RawFeatures::kMaxActiveDimensions> {
};
} // namespace Eval::NNUE::Features
#endif // NNUE_FEATURES_INDEX_LIST_H_INCLUDED
+341 -172
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -24,10 +24,10 @@
#include <iostream>
#include "../nnue_common.h"
namespace Eval::NNUE::Layers {
namespace Stockfish::Eval::NNUE::Layers {
// Affine transformation layer
template <typename PreviousLayer, IndexType OutputDimensions>
template <typename PreviousLayer, IndexType OutDims>
class AffineTransform {
public:
// Input/output type
@@ -36,217 +36,387 @@ namespace Eval::NNUE::Layers {
static_assert(std::is_same<InputType, std::uint8_t>::value, "");
// Number of input/output dimensions
static constexpr IndexType kInputDimensions =
PreviousLayer::kOutputDimensions;
static constexpr IndexType kOutputDimensions = OutputDimensions;
static constexpr IndexType kPaddedInputDimensions =
CeilToMultiple<IndexType>(kInputDimensions, kMaxSimdWidth);
static constexpr IndexType InputDimensions =
PreviousLayer::OutputDimensions;
static constexpr IndexType OutputDimensions = OutDims;
static constexpr IndexType PaddedInputDimensions =
ceil_to_multiple<IndexType>(InputDimensions, MaxSimdWidth);
#if defined (USE_AVX512)
static constexpr const IndexType OutputSimdWidth = SimdWidth / 2;
#elif defined (USE_SSSE3)
static constexpr const IndexType OutputSimdWidth = SimdWidth / 4;
#endif
// Size of forward propagation buffer used in this layer
static constexpr std::size_t kSelfBufferSize =
CeilToMultiple(kOutputDimensions * sizeof(OutputType), kCacheLineSize);
static constexpr std::size_t SelfBufferSize =
ceil_to_multiple(OutputDimensions * sizeof(OutputType), CacheLineSize);
// Size of the forward propagation buffer used from the input layer to this layer
static constexpr std::size_t kBufferSize =
PreviousLayer::kBufferSize + kSelfBufferSize;
static constexpr std::size_t BufferSize =
PreviousLayer::BufferSize + SelfBufferSize;
// Hash value embedded in the evaluation file
static constexpr std::uint32_t GetHashValue() {
std::uint32_t hash_value = 0xCC03DAE4u;
hash_value += kOutputDimensions;
hash_value ^= PreviousLayer::GetHashValue() >> 1;
hash_value ^= PreviousLayer::GetHashValue() << 31;
return hash_value;
static constexpr std::uint32_t get_hash_value() {
std::uint32_t hashValue = 0xCC03DAE4u;
hashValue += OutputDimensions;
hashValue ^= PreviousLayer::get_hash_value() >> 1;
hashValue ^= PreviousLayer::get_hash_value() << 31;
return hashValue;
}
// Read network parameters
bool ReadParameters(std::istream& stream) {
if (!previous_layer_.ReadParameters(stream)) return false;
for (std::size_t i = 0; i < kOutputDimensions; ++i)
biases_[i] = read_little_endian<BiasType>(stream);
for (std::size_t i = 0; i < kOutputDimensions * kPaddedInputDimensions; ++i)
weights_[i] = read_little_endian<WeightType>(stream);
// Read network parameters
bool read_parameters(std::istream& stream) {
if (!previousLayer.read_parameters(stream)) return false;
for (std::size_t i = 0; i < OutputDimensions; ++i)
biases[i] = read_little_endian<BiasType>(stream);
for (std::size_t i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
#if !defined (USE_SSSE3)
weights[i] = read_little_endian<WeightType>(stream);
#else
weights[
(i / 4) % (PaddedInputDimensions / 4) * OutputDimensions * 4 +
i / PaddedInputDimensions * 4 +
i % 4
] = read_little_endian<WeightType>(stream);
#endif
return !stream.fail();
}
// Write network parameters
bool write_parameters(std::ostream& stream) const {
if (!previousLayer.write_parameters(stream)) return false;
for (std::size_t i = 0; i < OutputDimensions; ++i)
write_little_endian<BiasType>(stream, biases[i]);
#if !defined (USE_SSSE3)
for (std::size_t i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
write_little_endian<WeightType>(stream, weights[i]);
#else
std::unique_ptr<WeightType[]> unscrambledWeights = std::make_unique<WeightType[]>(OutputDimensions * PaddedInputDimensions);
for (std::size_t i = 0; i < OutputDimensions * PaddedInputDimensions; ++i) {
unscrambledWeights[i] =
weights[
(i / 4) % (PaddedInputDimensions / 4) * OutputDimensions * 4 +
i / PaddedInputDimensions * 4 +
i % 4
];
}
for (std::size_t i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
write_little_endian<WeightType>(stream, unscrambledWeights[i]);
#endif
return !stream.fail();
}
// Forward propagation
const OutputType* Propagate(
const TransformedFeatureType* transformed_features, char* buffer) const {
const auto input = previous_layer_.Propagate(
transformed_features, buffer + kSelfBufferSize);
const auto output = reinterpret_cast<OutputType*>(buffer);
const OutputType* propagate(
const TransformedFeatureType* transformedFeatures, char* buffer) const {
const auto input = previousLayer.propagate(
transformedFeatures, buffer + SelfBufferSize);
#if defined(USE_AVX512)
constexpr IndexType kNumChunks = kPaddedInputDimensions / (kSimdWidth * 2);
const auto input_vector = reinterpret_cast<const __m512i*>(input);
#if !defined(USE_VNNI)
const __m512i kOnes = _mm512_set1_epi16(1);
#endif
#if defined (USE_AVX512)
#elif defined(USE_AVX2)
constexpr IndexType kNumChunks = kPaddedInputDimensions / kSimdWidth;
const auto input_vector = reinterpret_cast<const __m256i*>(input);
#if !defined(USE_VNNI)
const __m256i kOnes = _mm256_set1_epi16(1);
#endif
[[maybe_unused]] const __m512i Ones512 = _mm512_set1_epi16(1);
#elif defined(USE_SSE2)
constexpr IndexType kNumChunks = kPaddedInputDimensions / kSimdWidth;
#ifndef USE_SSSE3
const __m128i kZeros = _mm_setzero_si128();
#else
const __m128i kOnes = _mm_set1_epi16(1);
#endif
const auto input_vector = reinterpret_cast<const __m128i*>(input);
[[maybe_unused]] auto m512_hadd = [](__m512i sum, int bias) -> int {
return _mm512_reduce_add_epi32(sum) + bias;
};
#elif defined(USE_MMX)
constexpr IndexType kNumChunks = kPaddedInputDimensions / kSimdWidth;
const __m64 kZeros = _mm_setzero_si64();
const auto input_vector = reinterpret_cast<const __m64*>(input);
[[maybe_unused]] auto 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, Ones512);
acc = _mm512_add_epi32(acc, product0);
#endif
};
#elif defined(USE_NEON)
constexpr IndexType kNumChunks = kPaddedInputDimensions / kSimdWidth;
const auto input_vector = reinterpret_cast<const int8x8_t*>(input);
#endif
[[maybe_unused]] auto m512_add_dpbusd_epi32x4 = [=](__m512i& acc, __m512i a0, __m512i b0, __m512i a1, __m512i b1,
__m512i a2, __m512i b2, __m512i a3, __m512i b3) {
#if defined (USE_VNNI)
acc = _mm512_dpbusd_epi32(acc, a0, b0);
acc = _mm512_dpbusd_epi32(acc, a1, b1);
acc = _mm512_dpbusd_epi32(acc, a2, b2);
acc = _mm512_dpbusd_epi32(acc, a3, b3);
#else
__m512i product0 = _mm512_maddubs_epi16(a0, b0);
__m512i product1 = _mm512_maddubs_epi16(a1, b1);
__m512i product2 = _mm512_maddubs_epi16(a2, b2);
__m512i product3 = _mm512_maddubs_epi16(a3, b3);
product0 = _mm512_adds_epi16(product0, product1);
product0 = _mm512_madd_epi16(product0, Ones512);
product2 = _mm512_adds_epi16(product2, product3);
product2 = _mm512_madd_epi16(product2, Ones512);
acc = _mm512_add_epi32(acc, _mm512_add_epi32(product0, product2));
#endif
};
for (IndexType i = 0; i < kOutputDimensions; ++i) {
const IndexType offset = i * kPaddedInputDimensions;
#endif
#if defined (USE_AVX2)
#if defined(USE_AVX512)
__m512i sum = _mm512_setzero_si512();
const auto row = reinterpret_cast<const __m512i*>(&weights_[offset]);
for (IndexType j = 0; j < kNumChunks; ++j) {
#if defined(USE_VNNI)
sum = _mm512_dpbusd_epi32(sum, _mm512_loadA_si512(&input_vector[j]), _mm512_load_si512(&row[j]));
#else
__m512i product = _mm512_maddubs_epi16(_mm512_loadA_si512(&input_vector[j]), _mm512_load_si512(&row[j]));
product = _mm512_madd_epi16(product, kOnes);
sum = _mm512_add_epi32(sum, product);
#endif
}
[[maybe_unused]] const __m256i Ones256 = _mm256_set1_epi16(1);
// Note: Changing kMaxSimdWidth from 32 to 64 breaks loading existing networks.
// As a result kPaddedInputDimensions may not be an even multiple of 64(512bit)
// and we have to do one more 256bit chunk.
if (kPaddedInputDimensions != kNumChunks * kSimdWidth * 2)
{
const auto iv256 = reinterpret_cast<const __m256i*>(&input_vector[kNumChunks]);
const auto row256 = reinterpret_cast<const __m256i*>(&row[kNumChunks]);
#if defined(USE_VNNI)
__m256i product256 = _mm256_dpbusd_epi32(
_mm512_castsi512_si256(sum), _mm256_loadA_si256(&iv256[0]), _mm256_load_si256(&row256[0]));
sum = _mm512_inserti32x8(sum, product256, 0);
#else
__m256i product256 = _mm256_maddubs_epi16(_mm256_loadA_si256(&iv256[0]), _mm256_load_si256(&row256[0]));
sum = _mm512_add_epi32(sum, _mm512_cvtepi16_epi32(product256));
#endif
}
output[i] = _mm512_reduce_add_epi32(sum) + biases_[i];
#elif defined(USE_AVX2)
__m256i sum = _mm256_setzero_si256();
const auto row = reinterpret_cast<const __m256i*>(&weights_[offset]);
for (IndexType j = 0; j < kNumChunks; ++j) {
#if defined(USE_VNNI)
sum = _mm256_dpbusd_epi32(sum, _mm256_loadA_si256(&input_vector[j]), _mm256_load_si256(&row[j]));
#else
__m256i product = _mm256_maddubs_epi16(_mm256_loadA_si256(&input_vector[j]), _mm256_load_si256(&row[j]));
product = _mm256_madd_epi16(product, kOnes);
sum = _mm256_add_epi32(sum, product);
#endif
}
[[maybe_unused]] auto m256_hadd = [](__m256i sum, int bias) -> int {
__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));
output[i] = _mm_cvtsi128_si32(sum128) + biases_[i];
return _mm_cvtsi128_si32(sum128) + bias;
};
#elif defined(USE_SSSE3)
__m128i sum = _mm_setzero_si128();
const auto row = reinterpret_cast<const __m128i*>(&weights_[offset]);
for (int j = 0; j < (int)kNumChunks - 1; j += 2) {
__m128i product0 = _mm_maddubs_epi16(_mm_load_si128(&input_vector[j]), _mm_load_si128(&row[j]));
product0 = _mm_madd_epi16(product0, kOnes);
sum = _mm_add_epi32(sum, product0);
__m128i product1 = _mm_maddubs_epi16(_mm_load_si128(&input_vector[j+1]), _mm_load_si128(&row[j+1]));
product1 = _mm_madd_epi16(product1, kOnes);
sum = _mm_add_epi32(sum, product1);
}
if (kNumChunks & 0x1) {
__m128i product = _mm_maddubs_epi16(_mm_load_si128(&input_vector[kNumChunks-1]), _mm_load_si128(&row[kNumChunks-1]));
product = _mm_madd_epi16(product, kOnes);
sum = _mm_add_epi32(sum, product);
}
[[maybe_unused]] auto 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, Ones256);
acc = _mm256_add_epi32(acc, product0);
#endif
};
[[maybe_unused]] auto m256_add_dpbusd_epi32x4 = [=](__m256i& acc, __m256i a0, __m256i b0, __m256i a1, __m256i b1,
__m256i a2, __m256i b2, __m256i a3, __m256i b3) {
#if defined (USE_VNNI)
acc = _mm256_dpbusd_epi32(acc, a0, b0);
acc = _mm256_dpbusd_epi32(acc, a1, b1);
acc = _mm256_dpbusd_epi32(acc, a2, b2);
acc = _mm256_dpbusd_epi32(acc, a3, b3);
#else
__m256i product0 = _mm256_maddubs_epi16(a0, b0);
__m256i product1 = _mm256_maddubs_epi16(a1, b1);
__m256i product2 = _mm256_maddubs_epi16(a2, b2);
__m256i product3 = _mm256_maddubs_epi16(a3, b3);
product0 = _mm256_adds_epi16(product0, product1);
product0 = _mm256_madd_epi16(product0, Ones256);
product2 = _mm256_adds_epi16(product2, product3);
product2 = _mm256_madd_epi16(product2, Ones256);
acc = _mm256_add_epi32(acc, _mm256_add_epi32(product0, product2));
#endif
};
#endif
#if defined (USE_SSSE3)
[[maybe_unused]] const __m128i Ones128 = _mm_set1_epi16(1);
[[maybe_unused]] auto m128_hadd = [](__m128i sum, int bias) -> int {
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
output[i] = _mm_cvtsi128_si32(sum) + biases_[i];
return _mm_cvtsi128_si32(sum) + bias;
};
#elif defined(USE_SSE2)
__m128i sum_lo = _mm_cvtsi32_si128(biases_[i]);
__m128i sum_hi = kZeros;
const auto row = reinterpret_cast<const __m128i*>(&weights_[offset]);
for (IndexType j = 0; j < kNumChunks; ++j) {
[[maybe_unused]] auto m128_add_dpbusd_epi32 = [=](__m128i& acc, __m128i a, __m128i b) {
__m128i product0 = _mm_maddubs_epi16(a, b);
product0 = _mm_madd_epi16(product0, Ones128);
acc = _mm_add_epi32(acc, product0);
};
[[maybe_unused]] auto m128_add_dpbusd_epi32x4 = [=](__m128i& acc, __m128i a0, __m128i b0, __m128i a1, __m128i b1,
__m128i a2, __m128i b2, __m128i a3, __m128i b3) {
__m128i product0 = _mm_maddubs_epi16(a0, b0);
__m128i product1 = _mm_maddubs_epi16(a1, b1);
__m128i product2 = _mm_maddubs_epi16(a2, b2);
__m128i product3 = _mm_maddubs_epi16(a3, b3);
product0 = _mm_adds_epi16(product0, product1);
product0 = _mm_madd_epi16(product0, Ones128);
product2 = _mm_adds_epi16(product2, product3);
product2 = _mm_madd_epi16(product2, Ones128);
acc = _mm_add_epi32(acc, _mm_add_epi32(product0, product2));
};
#endif
#if defined (USE_AVX512)
using vec_t = __m512i;
#define vec_setzero _mm512_setzero_si512
#define vec_set_32 _mm512_set1_epi32
auto& vec_add_dpbusd_32 = m512_add_dpbusd_epi32;
auto& vec_add_dpbusd_32x4 = m512_add_dpbusd_epi32x4;
auto& vec_hadd = m512_hadd;
#elif defined (USE_AVX2)
using vec_t = __m256i;
#define vec_setzero _mm256_setzero_si256
#define vec_set_32 _mm256_set1_epi32
auto& vec_add_dpbusd_32 = m256_add_dpbusd_epi32;
auto& vec_add_dpbusd_32x4 = m256_add_dpbusd_epi32x4;
auto& vec_hadd = m256_hadd;
#elif defined (USE_SSSE3)
using vec_t = __m128i;
#define vec_setzero _mm_setzero_si128
#define vec_set_32 _mm_set1_epi32
auto& vec_add_dpbusd_32 = m128_add_dpbusd_epi32;
auto& vec_add_dpbusd_32x4 = m128_add_dpbusd_epi32x4;
auto& vec_hadd = m128_hadd;
#endif
#if defined (USE_SSSE3)
// Different layout, we process 4 inputs at a time, always.
static_assert(InputDimensions % 4 == 0);
const auto output = reinterpret_cast<OutputType*>(buffer);
const auto inputVector = reinterpret_cast<const vec_t*>(input);
static_assert(OutputDimensions % OutputSimdWidth == 0 || OutputDimensions == 1);
// OutputDimensions is either 1 or a multiple of SimdWidth
// because then it is also an input dimension.
if constexpr (OutputDimensions % OutputSimdWidth == 0)
{
constexpr IndexType NumChunks = InputDimensions / 4;
const auto input32 = reinterpret_cast<const std::int32_t*>(input);
vec_t* outptr = reinterpret_cast<vec_t*>(output);
std::memcpy(output, biases, OutputDimensions * sizeof(OutputType));
for (int i = 0; i < (int)NumChunks - 3; i += 4)
{
const vec_t in0 = vec_set_32(input32[i + 0]);
const vec_t in1 = vec_set_32(input32[i + 1]);
const vec_t in2 = vec_set_32(input32[i + 2]);
const vec_t in3 = vec_set_32(input32[i + 3]);
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]);
const auto col2 = reinterpret_cast<const vec_t*>(&weights[(i + 2) * OutputDimensions * 4]);
const auto col3 = reinterpret_cast<const vec_t*>(&weights[(i + 3) * OutputDimensions * 4]);
for (int j = 0; j * OutputSimdWidth < OutputDimensions; ++j)
vec_add_dpbusd_32x4(outptr[j], in0, col0[j], in1, col1[j], in2, col2[j], in3, col3[j]);
}
}
else if constexpr (OutputDimensions == 1)
{
#if defined (USE_AVX512)
if constexpr (PaddedInputDimensions % (SimdWidth * 2) != 0)
{
constexpr IndexType NumChunks = PaddedInputDimensions / SimdWidth;
const auto inputVector256 = reinterpret_cast<const __m256i*>(input);
__m256i sum0 = _mm256_setzero_si256();
const auto row0 = reinterpret_cast<const __m256i*>(&weights[0]);
for (int j = 0; j < (int)NumChunks; ++j)
{
const __m256i in = inputVector256[j];
m256_add_dpbusd_epi32(sum0, in, row0[j]);
}
output[0] = m256_hadd(sum0, biases[0]);
}
else
#endif
{
#if defined (USE_AVX512)
constexpr IndexType NumChunks = PaddedInputDimensions / (SimdWidth * 2);
#else
constexpr IndexType NumChunks = PaddedInputDimensions / SimdWidth;
#endif
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]);
}
}
#else
// Use old implementation for the other architectures.
auto output = reinterpret_cast<OutputType*>(buffer);
#if defined(USE_SSE2)
// At least a multiple of 16, with SSE2.
static_assert(InputDimensions % SimdWidth == 0);
constexpr IndexType NumChunks = InputDimensions / SimdWidth;
const __m128i Zeros = _mm_setzero_si128();
const auto inputVector = reinterpret_cast<const __m128i*>(input);
#elif defined(USE_MMX)
static_assert(InputDimensions % SimdWidth == 0);
constexpr IndexType NumChunks = InputDimensions / SimdWidth;
const __m64 Zeros = _mm_setzero_si64();
const auto inputVector = reinterpret_cast<const __m64*>(input);
#elif defined(USE_NEON)
static_assert(InputDimensions % SimdWidth == 0);
constexpr IndexType NumChunks = InputDimensions / SimdWidth;
const auto inputVector = reinterpret_cast<const int8x8_t*>(input);
#endif
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(&input_vector[j]);
__m128i row_signs = _mm_cmpgt_epi8(kZeros, row_j);
__m128i extended_row_lo = _mm_unpacklo_epi8(row_j, row_signs);
__m128i extended_row_hi = _mm_unpackhi_epi8(row_j, row_signs);
__m128i extended_input_lo = _mm_unpacklo_epi8(input_j, kZeros);
__m128i extended_input_hi = _mm_unpackhi_epi8(input_j, kZeros);
__m128i product_lo = _mm_madd_epi16(extended_row_lo, extended_input_lo);
__m128i product_hi = _mm_madd_epi16(extended_row_hi, extended_input_hi);
sum_lo = _mm_add_epi32(sum_lo, product_lo);
sum_hi = _mm_add_epi32(sum_hi, product_hi);
__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(sum_lo, sum_hi);
__m128i sum_high_64 = _mm_shuffle_epi32(sum, _MM_SHUFFLE(1, 0, 3, 2));
sum = _mm_add_epi32(sum, sum_high_64);
__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_MMX)
__m64 sum_lo = _mm_cvtsi32_si64(biases_[i]);
__m64 sum_hi = kZeros;
const auto row = reinterpret_cast<const __m64*>(&weights_[offset]);
for (IndexType j = 0; j < kNumChunks; ++j) {
#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 = input_vector[j];
__m64 row_signs = _mm_cmpgt_pi8(kZeros, row_j);
__m64 extended_row_lo = _mm_unpacklo_pi8(row_j, row_signs);
__m64 extended_row_hi = _mm_unpackhi_pi8(row_j, row_signs);
__m64 extended_input_lo = _mm_unpacklo_pi8(input_j, kZeros);
__m64 extended_input_hi = _mm_unpackhi_pi8(input_j, kZeros);
__m64 product_lo = _mm_madd_pi16(extended_row_lo, extended_input_lo);
__m64 product_hi = _mm_madd_pi16(extended_row_hi, extended_input_hi);
sum_lo = _mm_add_pi32(sum_lo, product_lo);
sum_hi = _mm_add_pi32(sum_hi, product_hi);
__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(sum_lo, sum_hi);
__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 < kNumChunks; ++j) {
int16x8_t product = vmull_s8(input_vector[j * 2], row[j * 2]);
product = vmlal_s8(product, input_vector[j * 2 + 1], row[j * 2 + 1]);
#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
OutputType sum = biases_[i];
for (IndexType j = 0; j < kInputDimensions; ++j) {
sum += weights_[offset + j] * input[j];
#else
OutputType sum = biases[i];
for (IndexType j = 0; j < InputDimensions; ++j) {
sum += weights[offset + j] * input[j];
}
output[i] = sum;
#endif
#endif
}
#if defined(USE_MMX)
#if defined(USE_MMX)
_mm_empty();
#endif
#endif
#endif
return output;
}
@@ -254,13 +424,12 @@ namespace Eval::NNUE::Layers {
using BiasType = OutputType;
using WeightType = std::int8_t;
PreviousLayer previous_layer_;
PreviousLayer previousLayer;
alignas(kCacheLineSize) BiasType biases_[kOutputDimensions];
alignas(kCacheLineSize)
WeightType weights_[kOutputDimensions * kPaddedInputDimensions];
alignas(CacheLineSize) BiasType biases[OutputDimensions];
alignas(CacheLineSize) WeightType weights[OutputDimensions * PaddedInputDimensions];
};
} // namespace Eval::NNUE::Layers
} // namespace Stockfish::Eval::NNUE::Layers
#endif // #ifndef NNUE_LAYERS_AFFINE_TRANSFORM_H_INCLUDED
+83 -58
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -23,7 +23,7 @@
#include "../nnue_common.h"
namespace Eval::NNUE::Layers {
namespace Stockfish::Eval::NNUE::Layers {
// Clipped ReLU
template <typename PreviousLayer>
@@ -35,132 +35,157 @@ namespace Eval::NNUE::Layers {
static_assert(std::is_same<InputType, std::int32_t>::value, "");
// Number of input/output dimensions
static constexpr IndexType kInputDimensions =
PreviousLayer::kOutputDimensions;
static constexpr IndexType kOutputDimensions = kInputDimensions;
static constexpr IndexType InputDimensions =
PreviousLayer::OutputDimensions;
static constexpr IndexType OutputDimensions = InputDimensions;
// Size of forward propagation buffer used in this layer
static constexpr std::size_t kSelfBufferSize =
CeilToMultiple(kOutputDimensions * sizeof(OutputType), kCacheLineSize);
static constexpr std::size_t SelfBufferSize =
ceil_to_multiple(OutputDimensions * sizeof(OutputType), CacheLineSize);
// Size of the forward propagation buffer used from the input layer to this layer
static constexpr std::size_t kBufferSize =
PreviousLayer::kBufferSize + kSelfBufferSize;
static constexpr std::size_t BufferSize =
PreviousLayer::BufferSize + SelfBufferSize;
// Hash value embedded in the evaluation file
static constexpr std::uint32_t GetHashValue() {
std::uint32_t hash_value = 0x538D24C7u;
hash_value += PreviousLayer::GetHashValue();
return hash_value;
static constexpr std::uint32_t get_hash_value() {
std::uint32_t hashValue = 0x538D24C7u;
hashValue += PreviousLayer::get_hash_value();
return hashValue;
}
// Read network parameters
bool ReadParameters(std::istream& stream) {
return previous_layer_.ReadParameters(stream);
bool read_parameters(std::istream& stream) {
return previousLayer.read_parameters(stream);
}
// Write network parameters
bool write_parameters(std::ostream& stream) const {
return previousLayer.write_parameters(stream);
}
// Forward propagation
const OutputType* Propagate(
const TransformedFeatureType* transformed_features, char* buffer) const {
const auto input = previous_layer_.Propagate(
transformed_features, buffer + kSelfBufferSize);
const OutputType* propagate(
const TransformedFeatureType* transformedFeatures, char* buffer) const {
const auto input = previousLayer.propagate(
transformedFeatures, buffer + SelfBufferSize);
const auto output = reinterpret_cast<OutputType*>(buffer);
#if defined(USE_AVX2)
constexpr IndexType kNumChunks = kInputDimensions / kSimdWidth;
const __m256i kZero = _mm256_setzero_si256();
const __m256i kOffsets = _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 < kNumChunks; ++i) {
const __m256i words0 = _mm256_srai_epi16(_mm256_packs_epi32(
_mm256_loadA_si256(&in[i * 4 + 0]),
_mm256_loadA_si256(&in[i * 4 + 1])), kWeightScaleBits);
const __m256i words1 = _mm256_srai_epi16(_mm256_packs_epi32(
_mm256_loadA_si256(&in[i * 4 + 2]),
_mm256_loadA_si256(&in[i * 4 + 3])), kWeightScaleBits);
_mm256_storeA_si256(&out[i], _mm256_permutevar8x32_epi32(_mm256_max_epi8(
_mm256_packs_epi16(words0, words1), kZero), kOffsets));
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 kStart = kNumChunks * kSimdWidth;
constexpr IndexType Start =
InputDimensions % SimdWidth == 0
? InputDimensions / SimdWidth * SimdWidth
: InputDimensions / (SimdWidth / 2) * (SimdWidth / 2);
#elif defined(USE_SSE2)
constexpr IndexType kNumChunks = kInputDimensions / kSimdWidth;
constexpr IndexType NumChunks = InputDimensions / SimdWidth;
#ifdef USE_SSE41
const __m128i kZero = _mm_setzero_si128();
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 < kNumChunks; ++i) {
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])), kWeightScaleBits);
_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])), kWeightScaleBits);
_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, kZero)
_mm_max_epi8(packedbytes, Zero)
#else
_mm_subs_epi8(_mm_adds_epi8(packedbytes, k0x80s), k0x80s)
#endif
);
}
constexpr IndexType kStart = kNumChunks * kSimdWidth;
constexpr IndexType Start = NumChunks * SimdWidth;
#elif defined(USE_MMX)
constexpr IndexType kNumChunks = kInputDimensions / kSimdWidth;
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 < kNumChunks; ++i) {
for (IndexType i = 0; i < NumChunks; ++i) {
const __m64 words0 = _mm_srai_pi16(
_mm_packs_pi32(in[i * 4 + 0], in[i * 4 + 1]),
kWeightScaleBits);
WeightScaleBits);
const __m64 words1 = _mm_srai_pi16(
_mm_packs_pi32(in[i * 4 + 2], in[i * 4 + 3]),
kWeightScaleBits);
WeightScaleBits);
const __m64 packedbytes = _mm_packs_pi16(words0, words1);
out[i] = _mm_subs_pi8(_mm_adds_pi8(packedbytes, k0x80s), k0x80s);
}
_mm_empty();
constexpr IndexType kStart = kNumChunks * kSimdWidth;
constexpr IndexType Start = NumChunks * SimdWidth;
#elif defined(USE_NEON)
constexpr IndexType kNumChunks = kInputDimensions / (kSimdWidth / 2);
const int8x8_t kZero = {0};
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 < kNumChunks; ++i) {
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], kWeightScaleBits);
pack[1] = vqshrn_n_s32(in[i * 2 + 1], kWeightScaleBits);
out[i] = vmax_s8(vqmovn_s16(shifted), kZero);
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 kStart = kNumChunks * (kSimdWidth / 2);
constexpr IndexType Start = NumChunks * (SimdWidth / 2);
#else
constexpr IndexType kStart = 0;
constexpr IndexType Start = 0;
#endif
for (IndexType i = kStart; i < kInputDimensions; ++i) {
for (IndexType i = Start; i < InputDimensions; ++i) {
output[i] = static_cast<OutputType>(
std::max(0, std::min(127, input[i] >> kWeightScaleBits)));
std::max(0, std::min(127, input[i] >> WeightScaleBits)));
}
return output;
}
private:
PreviousLayer previous_layer_;
PreviousLayer previousLayer;
};
} // namespace Eval::NNUE::Layers
} // namespace Stockfish::Eval::NNUE::Layers
#endif // NNUE_LAYERS_CLIPPED_RELU_H_INCLUDED
+20 -15
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -23,46 +23,51 @@
#include "../nnue_common.h"
namespace Eval::NNUE::Layers {
namespace Stockfish::Eval::NNUE::Layers {
// Input layer
template <IndexType OutputDimensions, IndexType Offset = 0>
template <IndexType OutDims, IndexType Offset = 0>
class InputSlice {
public:
// Need to maintain alignment
static_assert(Offset % kMaxSimdWidth == 0, "");
static_assert(Offset % MaxSimdWidth == 0, "");
// Output type
using OutputType = TransformedFeatureType;
// Output dimensionality
static constexpr IndexType kOutputDimensions = OutputDimensions;
static constexpr IndexType OutputDimensions = OutDims;
// Size of forward propagation buffer used from the input layer to this layer
static constexpr std::size_t kBufferSize = 0;
static constexpr std::size_t BufferSize = 0;
// Hash value embedded in the evaluation file
static constexpr std::uint32_t GetHashValue() {
std::uint32_t hash_value = 0xEC42E90Du;
hash_value ^= kOutputDimensions ^ (Offset << 10);
return hash_value;
static constexpr std::uint32_t get_hash_value() {
std::uint32_t hashValue = 0xEC42E90Du;
hashValue ^= OutputDimensions ^ (Offset << 10);
return hashValue;
}
// Read network parameters
bool ReadParameters(std::istream& /*stream*/) {
bool read_parameters(std::istream& /*stream*/) {
return true;
}
// Write network parameters
bool write_parameters(std::ostream& /*stream*/) const {
return true;
}
// Forward propagation
const OutputType* Propagate(
const TransformedFeatureType* transformed_features,
const OutputType* propagate(
const TransformedFeatureType* transformedFeatures,
char* /*buffer*/) const {
return transformed_features + Offset;
return transformedFeatures + Offset;
}
private:
};
} // namespace Layers
} // namespace Stockfish::Eval::NNUE::Layers
#endif // #ifndef NNUE_LAYERS_INPUT_SLICE_H_INCLUDED
+7 -9
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -23,17 +23,15 @@
#include "nnue_architecture.h"
namespace Eval::NNUE {
namespace Stockfish::Eval::NNUE {
// Class that holds the result of affine transformation of input features
struct alignas(kCacheLineSize) Accumulator {
std::int16_t
accumulation[2][kRefreshTriggers.size()][kTransformedFeatureDimensions];
Value score;
bool computed_accumulation;
bool computed_score;
struct alignas(CacheLineSize) Accumulator {
std::int16_t accumulation[2][TransformedFeatureDimensions];
std::int32_t psqtAccumulation[2][PSQTBuckets];
bool computed[2];
};
} // namespace Eval::NNUE
} // namespace Stockfish::Eval::NNUE
#endif // NNUE_ACCUMULATOR_H_INCLUDED
+32 -10
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -21,18 +21,40 @@
#ifndef NNUE_ARCHITECTURE_H_INCLUDED
#define NNUE_ARCHITECTURE_H_INCLUDED
// Defines the network structure
#include "architectures/halfkp_256x2-32-32.h"
#include "nnue_common.h"
namespace Eval::NNUE {
#include "features/half_ka_v2.h"
static_assert(kTransformedFeatureDimensions % kMaxSimdWidth == 0, "");
static_assert(Network::kOutputDimensions == 1, "");
#include "layers/input_slice.h"
#include "layers/affine_transform.h"
#include "layers/clipped_relu.h"
namespace Stockfish::Eval::NNUE {
// Input features used in evaluation function
using FeatureSet = Features::HalfKAv2;
// Number of input feature dimensions after conversion
constexpr IndexType TransformedFeatureDimensions = 512;
constexpr IndexType PSQTBuckets = 8;
constexpr IndexType LayerStacks = 8;
namespace Layers {
// Define network structure
using InputLayer = InputSlice<TransformedFeatureDimensions * 2>;
using HiddenLayer1 = ClippedReLU<AffineTransform<InputLayer, 16>>;
using HiddenLayer2 = ClippedReLU<AffineTransform<HiddenLayer1, 32>>;
using OutputLayer = AffineTransform<HiddenLayer2, 1>;
} // namespace Layers
using Network = Layers::OutputLayer;
static_assert(TransformedFeatureDimensions % MaxSimdWidth == 0, "");
static_assert(Network::OutputDimensions == 1, "");
static_assert(std::is_same<Network::OutputType, std::int32_t>::value, "");
// Trigger for full calculation instead of difference calculation
constexpr auto kRefreshTriggers = RawFeatures::kRefreshTriggers;
} // namespace Eval::NNUE
} // namespace Stockfish::Eval::NNUE
#endif // #ifndef NNUE_ARCHITECTURE_H_INCLUDED
+80 -64
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -24,6 +24,8 @@
#include <cstring>
#include <iostream>
#include "../misc.h" // for IsLittleEndian
#if defined(USE_AVX2)
#include <immintrin.h>
@@ -43,77 +45,33 @@
#include <arm_neon.h>
#endif
// HACK: Use _mm256_loadu_si256() instead of _mm256_load_si256. Otherwise a binary
// compiled with older g++ crashes because the output memory is not aligned
// even though alignas is specified.
#if defined(USE_AVX2)
#if defined(__GNUC__ ) && (__GNUC__ < 9) && defined(_WIN32) && !defined(__clang__)
#define _mm256_loadA_si256 _mm256_loadu_si256
#define _mm256_storeA_si256 _mm256_storeu_si256
#else
#define _mm256_loadA_si256 _mm256_load_si256
#define _mm256_storeA_si256 _mm256_store_si256
#endif
#endif
#if defined(USE_AVX512)
#if defined(__GNUC__ ) && (__GNUC__ < 9) && defined(_WIN32) && !defined(__clang__)
#define _mm512_loadA_si512 _mm512_loadu_si512
#define _mm512_storeA_si512 _mm512_storeu_si512
#else
#define _mm512_loadA_si512 _mm512_load_si512
#define _mm512_storeA_si512 _mm512_store_si512
#endif
#endif
namespace Eval::NNUE {
namespace Stockfish::Eval::NNUE {
// Version of the evaluation file
constexpr std::uint32_t kVersion = 0x7AF32F16u;
constexpr std::uint32_t Version = 0x7AF32F20u;
// Constant used in evaluation value calculation
constexpr int FV_SCALE = 16;
constexpr int kWeightScaleBits = 6;
constexpr int OutputScale = 16;
constexpr int WeightScaleBits = 6;
// Size of cache line (in bytes)
constexpr std::size_t kCacheLineSize = 64;
constexpr std::size_t CacheLineSize = 64;
// SIMD width (in bytes)
#if defined(USE_AVX2)
constexpr std::size_t kSimdWidth = 32;
constexpr std::size_t SimdWidth = 32;
#elif defined(USE_SSE2)
constexpr std::size_t kSimdWidth = 16;
constexpr std::size_t SimdWidth = 16;
#elif defined(USE_MMX)
constexpr std::size_t kSimdWidth = 8;
constexpr std::size_t SimdWidth = 8;
#elif defined(USE_NEON)
constexpr std::size_t kSimdWidth = 16;
constexpr std::size_t SimdWidth = 16;
#endif
constexpr std::size_t kMaxSimdWidth = 32;
// unique number for each piece type on each square
enum {
PS_NONE = 0,
PS_W_PAWN = 1,
PS_B_PAWN = 1 * SQUARE_NB + 1,
PS_W_KNIGHT = 2 * SQUARE_NB + 1,
PS_B_KNIGHT = 3 * SQUARE_NB + 1,
PS_W_BISHOP = 4 * SQUARE_NB + 1,
PS_B_BISHOP = 5 * SQUARE_NB + 1,
PS_W_ROOK = 6 * SQUARE_NB + 1,
PS_B_ROOK = 7 * SQUARE_NB + 1,
PS_W_QUEEN = 8 * SQUARE_NB + 1,
PS_B_QUEEN = 9 * SQUARE_NB + 1,
PS_W_KING = 10 * SQUARE_NB + 1,
PS_END = PS_W_KING, // pieces without kings (pawns included)
PS_B_KING = 11 * SQUARE_NB + 1,
PS_END2 = 12 * SQUARE_NB + 1
};
extern uint32_t kpp_board_index[PIECE_NB][COLOR_NB];
constexpr std::size_t MaxSimdWidth = 32;
// Type of input feature after conversion
using TransformedFeatureType = std::uint8_t;
@@ -121,7 +79,7 @@ namespace Eval::NNUE {
// Round n up to be a multiple of base
template <typename IntType>
constexpr IntType CeilToMultiple(IntType n, IntType base) {
constexpr IntType ceil_to_multiple(IntType n, IntType base) {
return (n + base - 1) / base * base;
}
@@ -130,19 +88,77 @@ namespace Eval::NNUE {
// 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;
std::uint8_t u[sizeof(IntType)];
typename std::make_unsigned<IntType>::type 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];
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;
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;
}
} // namespace Eval::NNUE
// 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, independantly 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;
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] = v;
v >>= 8;
}
}
u[i] = v;
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]);
}
} // namespace Stockfish::Eval::NNUE
#endif // #ifndef NNUE_COMMON_H_INCLUDED
+516 -279
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -23,356 +23,593 @@
#include "nnue_common.h"
#include "nnue_architecture.h"
#include "features/index_list.h"
#include <cstring> // std::memset()
namespace Eval::NNUE {
namespace Stockfish::Eval::NNUE {
using BiasType = std::int16_t;
using WeightType = std::int16_t;
using PSQTWeightType = std::int32_t;
// If vector instructions are enabled, we update and refresh the
// accumulator tile by tile such that each tile fits in the CPU's
// vector registers.
#define VECTOR
static_assert(PSQTBuckets % 8 == 0,
"Per feature PSQT values cannot be processed at granularity lower than 8 at a time.");
#ifdef USE_AVX512
typedef __m512i vec_t;
typedef __m256i psqt_vec_t;
#define vec_load(a) _mm512_load_si512(a)
#define vec_store(a,b) _mm512_store_si512(a,b)
#define vec_add_16(a,b) _mm512_add_epi16(a,b)
#define vec_sub_16(a,b) _mm512_sub_epi16(a,b)
#define vec_load_psqt(a) _mm256_load_si256(a)
#define vec_store_psqt(a,b) _mm256_store_si256(a,b)
#define vec_add_psqt_32(a,b) _mm256_add_epi32(a,b)
#define vec_sub_psqt_32(a,b) _mm256_sub_epi32(a,b)
#define vec_zero_psqt() _mm256_setzero_si256()
#define NumRegistersSIMD 32
#elif USE_AVX2
typedef __m256i vec_t;
typedef __m256i psqt_vec_t;
#define vec_load(a) _mm256_load_si256(a)
#define vec_store(a,b) _mm256_store_si256(a,b)
#define vec_add_16(a,b) _mm256_add_epi16(a,b)
#define vec_sub_16(a,b) _mm256_sub_epi16(a,b)
#define vec_load_psqt(a) _mm256_load_si256(a)
#define vec_store_psqt(a,b) _mm256_store_si256(a,b)
#define vec_add_psqt_32(a,b) _mm256_add_epi32(a,b)
#define vec_sub_psqt_32(a,b) _mm256_sub_epi32(a,b)
#define vec_zero_psqt() _mm256_setzero_si256()
#define NumRegistersSIMD 16
#elif USE_SSE2
typedef __m128i vec_t;
typedef __m128i psqt_vec_t;
#define vec_load(a) (*(a))
#define vec_store(a,b) *(a)=(b)
#define vec_add_16(a,b) _mm_add_epi16(a,b)
#define vec_sub_16(a,b) _mm_sub_epi16(a,b)
#define vec_load_psqt(a) (*(a))
#define vec_store_psqt(a,b) *(a)=(b)
#define vec_add_psqt_32(a,b) _mm_add_epi32(a,b)
#define vec_sub_psqt_32(a,b) _mm_sub_epi32(a,b)
#define vec_zero_psqt() _mm_setzero_si128()
#define NumRegistersSIMD (Is64Bit ? 16 : 8)
#elif USE_MMX
typedef __m64 vec_t;
typedef __m64 psqt_vec_t;
#define vec_load(a) (*(a))
#define vec_store(a,b) *(a)=(b)
#define vec_add_16(a,b) _mm_add_pi16(a,b)
#define vec_sub_16(a,b) _mm_sub_pi16(a,b)
#define vec_load_psqt(a) (*(a))
#define vec_store_psqt(a,b) *(a)=(b)
#define vec_add_psqt_32(a,b) _mm_add_pi32(a,b)
#define vec_sub_psqt_32(a,b) _mm_sub_pi32(a,b)
#define vec_zero_psqt() _mm_setzero_si64()
#define NumRegistersSIMD 8
#elif USE_NEON
typedef int16x8_t vec_t;
typedef int32x4_t psqt_vec_t;
#define vec_load(a) (*(a))
#define vec_store(a,b) *(a)=(b)
#define vec_add_16(a,b) vaddq_s16(a,b)
#define vec_sub_16(a,b) vsubq_s16(a,b)
#define vec_load_psqt(a) (*(a))
#define vec_store_psqt(a,b) *(a)=(b)
#define vec_add_psqt_32(a,b) vaddq_s32(a,b)
#define vec_sub_psqt_32(a,b) vsubq_s32(a,b)
#define vec_zero_psqt() psqt_vec_t{0}
#define NumRegistersSIMD 16
#else
#undef VECTOR
#endif
#ifdef VECTOR
// Compute optimal SIMD register count for feature transformer accumulation.
// We use __m* types as template arguments, which causes GCC to emit warnings
// about losing some attribute information. This is irrelevant to us as we
// only take their size, so the following pragma are harmless.
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wignored-attributes"
template <typename SIMDRegisterType,
typename LaneType,
int NumLanes,
int MaxRegisters>
static constexpr int BestRegisterCount()
{
#define RegisterSize sizeof(SIMDRegisterType)
#define LaneSize sizeof(LaneType)
static_assert(RegisterSize >= LaneSize);
static_assert(MaxRegisters <= NumRegistersSIMD);
static_assert(MaxRegisters > 0);
static_assert(NumRegistersSIMD > 0);
static_assert(RegisterSize % LaneSize == 0);
static_assert((NumLanes * LaneSize) % RegisterSize == 0);
const int ideal = (NumLanes * LaneSize) / RegisterSize;
if (ideal <= MaxRegisters)
return ideal;
// Look for the largest divisor of the ideal register count that is smaller than MaxRegisters
for (int divisor = MaxRegisters; divisor > 1; --divisor)
if (ideal % divisor == 0)
return divisor;
return 1;
}
static constexpr int NumRegs = BestRegisterCount<vec_t, WeightType, TransformedFeatureDimensions, NumRegistersSIMD>();
static constexpr int NumPsqtRegs = BestRegisterCount<psqt_vec_t, PSQTWeightType, PSQTBuckets, NumRegistersSIMD>();
#pragma GCC diagnostic pop
#endif
// Input feature converter
class FeatureTransformer {
private:
// Number of output dimensions for one side
static constexpr IndexType kHalfDimensions = kTransformedFeatureDimensions;
static constexpr IndexType HalfDimensions = TransformedFeatureDimensions;
#ifdef VECTOR
static constexpr IndexType TileHeight = NumRegs * sizeof(vec_t) / 2;
static constexpr IndexType PsqtTileHeight = NumPsqtRegs * sizeof(psqt_vec_t) / 4;
static_assert(HalfDimensions % TileHeight == 0, "TileHeight must divide HalfDimensions");
static_assert(PSQTBuckets % PsqtTileHeight == 0, "PsqtTileHeight must divide PSQTBuckets");
#endif
public:
// Output type
using OutputType = TransformedFeatureType;
// Number of input/output dimensions
static constexpr IndexType kInputDimensions = RawFeatures::kDimensions;
static constexpr IndexType kOutputDimensions = kHalfDimensions * 2;
static constexpr IndexType InputDimensions = FeatureSet::Dimensions;
static constexpr IndexType OutputDimensions = HalfDimensions * 2;
// Size of forward propagation buffer
static constexpr std::size_t kBufferSize =
kOutputDimensions * sizeof(OutputType);
static constexpr std::size_t BufferSize =
OutputDimensions * sizeof(OutputType);
// Hash value embedded in the evaluation file
static constexpr std::uint32_t GetHashValue() {
return RawFeatures::kHashValue ^ kOutputDimensions;
static constexpr std::uint32_t get_hash_value() {
return FeatureSet::HashValue ^ OutputDimensions;
}
// Read network parameters
bool ReadParameters(std::istream& stream) {
for (std::size_t i = 0; i < kHalfDimensions; ++i)
biases_[i] = read_little_endian<BiasType>(stream);
for (std::size_t i = 0; i < kHalfDimensions * kInputDimensions; ++i)
weights_[i] = read_little_endian<WeightType>(stream);
bool read_parameters(std::istream& stream) {
read_little_endian<BiasType >(stream, biases , HalfDimensions );
read_little_endian<WeightType >(stream, weights , HalfDimensions * InputDimensions);
read_little_endian<PSQTWeightType>(stream, psqtWeights, PSQTBuckets * InputDimensions);
return !stream.fail();
}
// Proceed with the difference calculation if possible
bool UpdateAccumulatorIfPossible(const Position& pos) const {
const auto now = pos.state();
if (now->accumulator.computed_accumulation) {
return true;
}
const auto prev = now->previous;
if (prev && prev->accumulator.computed_accumulation) {
UpdateAccumulator(pos);
return true;
}
return false;
// Write network parameters
bool write_parameters(std::ostream& stream) const {
write_little_endian<BiasType >(stream, biases , HalfDimensions );
write_little_endian<WeightType >(stream, weights , HalfDimensions * InputDimensions);
write_little_endian<PSQTWeightType>(stream, psqtWeights, PSQTBuckets * InputDimensions);
return !stream.fail();
}
// Convert input features
void Transform(const Position& pos, OutputType* output, bool refresh) const {
if (refresh || !UpdateAccumulatorIfPossible(pos)) {
RefreshAccumulator(pos);
}
const auto& accumulation = pos.state()->accumulator.accumulation;
#if defined(USE_AVX2)
constexpr IndexType kNumChunks = kHalfDimensions / kSimdWidth;
constexpr int kControl = 0b11011000;
const __m256i kZero = _mm256_setzero_si256();
#elif defined(USE_SSE2)
constexpr IndexType kNumChunks = kHalfDimensions / kSimdWidth;
#ifdef USE_SSE41
const __m128i kZero = _mm_setzero_si128();
#else
const __m128i k0x80s = _mm_set1_epi8(-128);
#endif
#elif defined(USE_MMX)
constexpr IndexType kNumChunks = kHalfDimensions / kSimdWidth;
const __m64 k0x80s = _mm_set1_pi8(-128);
#elif defined(USE_NEON)
constexpr IndexType kNumChunks = kHalfDimensions / (kSimdWidth / 2);
const int8x8_t kZero = {0};
#endif
std::int32_t transform(const Position& pos, OutputType* output, int bucket) const {
update_accumulator(pos, WHITE);
update_accumulator(pos, BLACK);
const Color perspectives[2] = {pos.side_to_move(), ~pos.side_to_move()};
for (IndexType p = 0; p < 2; ++p) {
const IndexType offset = kHalfDimensions * p;
const auto& accumulation = pos.state()->accumulator.accumulation;
const auto& psqtAccumulation = pos.state()->accumulator.psqtAccumulation;
#if defined(USE_AVX2)
auto out = reinterpret_cast<__m256i*>(&output[offset]);
for (IndexType j = 0; j < kNumChunks; ++j) {
__m256i sum0 = _mm256_loadA_si256(
&reinterpret_cast<const __m256i*>(accumulation[perspectives[p]][0])[j * 2 + 0]);
__m256i sum1 = _mm256_loadA_si256(
&reinterpret_cast<const __m256i*>(accumulation[perspectives[p]][0])[j * 2 + 1]);
_mm256_storeA_si256(&out[j], _mm256_permute4x64_epi64(_mm256_max_epi8(
_mm256_packs_epi16(sum0, sum1), kZero), kControl));
}
const auto psqt = (
psqtAccumulation[perspectives[0]][bucket]
- psqtAccumulation[perspectives[1]][bucket]
) / 2;
#elif defined(USE_SSE2)
auto out = reinterpret_cast<__m128i*>(&output[offset]);
for (IndexType j = 0; j < kNumChunks; ++j) {
__m128i sum0 = _mm_load_si128(&reinterpret_cast<const __m128i*>(
accumulation[perspectives[p]][0])[j * 2 + 0]);
__m128i sum1 = _mm_load_si128(&reinterpret_cast<const __m128i*>(
accumulation[perspectives[p]][0])[j * 2 + 1]);
const __m128i packedbytes = _mm_packs_epi16(sum0, sum1);
_mm_store_si128(&out[j],
#ifdef USE_SSE41
_mm_max_epi8(packedbytes, kZero)
#else
_mm_subs_epi8(_mm_adds_epi8(packedbytes, k0x80s), k0x80s)
#endif
);
}
#elif defined(USE_MMX)
auto out = reinterpret_cast<__m64*>(&output[offset]);
for (IndexType j = 0; j < kNumChunks; ++j) {
__m64 sum0 = *(&reinterpret_cast<const __m64*>(
accumulation[perspectives[p]][0])[j * 2 + 0]);
__m64 sum1 = *(&reinterpret_cast<const __m64*>(
accumulation[perspectives[p]][0])[j * 2 + 1]);
const __m64 packedbytes = _mm_packs_pi16(sum0, sum1);
out[j] = _mm_subs_pi8(_mm_adds_pi8(packedbytes, k0x80s), k0x80s);
}
#elif defined(USE_NEON)
const auto out = reinterpret_cast<int8x8_t*>(&output[offset]);
for (IndexType j = 0; j < kNumChunks; ++j) {
int16x8_t sum = reinterpret_cast<const int16x8_t*>(
accumulation[perspectives[p]][0])[j];
out[j] = vmax_s8(vqmovn_s16(sum), kZero);
}
#else
for (IndexType j = 0; j < kHalfDimensions; ++j) {
BiasType sum = accumulation[static_cast<int>(perspectives[p])][0][j];
output[offset + j] = static_cast<OutputType>(
std::max<int>(0, std::min<int>(127, sum)));
}
#endif
}
#if defined(USE_MMX)
_mm_empty();
#endif
}
private:
// Calculate cumulative value without using difference calculation
void RefreshAccumulator(const Position& pos) const {
auto& accumulator = pos.state()->accumulator;
IndexType i = 0;
Features::IndexList active_indices[2];
RawFeatures::AppendActiveIndices(pos, kRefreshTriggers[i],
active_indices);
for (Color perspective : { WHITE, BLACK }) {
std::memcpy(accumulator.accumulation[perspective][i], biases_,
kHalfDimensions * sizeof(BiasType));
for (const auto index : active_indices[perspective]) {
const IndexType offset = kHalfDimensions * index;
#if defined(USE_AVX512)
auto accumulation = reinterpret_cast<__m512i*>(
&accumulator.accumulation[perspective][i][0]);
auto column = reinterpret_cast<const __m512i*>(&weights_[offset]);
constexpr IndexType kNumChunks = kHalfDimensions / kSimdWidth;
for (IndexType j = 0; j < kNumChunks; ++j)
_mm512_storeA_si512(&accumulation[j], _mm512_add_epi16(_mm512_loadA_si512(&accumulation[j]), column[j]));
constexpr IndexType NumChunks = HalfDimensions / (SimdWidth * 2);
static_assert(HalfDimensions % (SimdWidth * 2) == 0);
const __m512i Control = _mm512_setr_epi64(0, 2, 4, 6, 1, 3, 5, 7);
const __m512i Zero = _mm512_setzero_si512();
for (IndexType p = 0; p < 2; ++p)
{
const IndexType offset = HalfDimensions * p;
auto out = reinterpret_cast<__m512i*>(&output[offset]);
for (IndexType j = 0; j < NumChunks; ++j)
{
__m512i sum0 = _mm512_load_si512(&reinterpret_cast<const __m512i*>
(accumulation[perspectives[p]])[j * 2 + 0]);
__m512i sum1 = _mm512_load_si512(&reinterpret_cast<const __m512i*>
(accumulation[perspectives[p]])[j * 2 + 1]);
_mm512_store_si512(&out[j], _mm512_permutexvar_epi64(Control,
_mm512_max_epi8(_mm512_packs_epi16(sum0, sum1), Zero)));
}
}
return psqt;
#elif defined(USE_AVX2)
auto accumulation = reinterpret_cast<__m256i*>(
&accumulator.accumulation[perspective][i][0]);
auto column = reinterpret_cast<const __m256i*>(&weights_[offset]);
constexpr IndexType kNumChunks = kHalfDimensions / (kSimdWidth / 2);
for (IndexType j = 0; j < kNumChunks; ++j)
_mm256_storeA_si256(&accumulation[j], _mm256_add_epi16(_mm256_loadA_si256(&accumulation[j]), column[j]));
constexpr IndexType NumChunks = HalfDimensions / SimdWidth;
constexpr int Control = 0b11011000;
const __m256i Zero = _mm256_setzero_si256();
for (IndexType p = 0; p < 2; ++p)
{
const IndexType offset = HalfDimensions * p;
auto out = reinterpret_cast<__m256i*>(&output[offset]);
for (IndexType j = 0; j < NumChunks; ++j)
{
__m256i sum0 = _mm256_load_si256(&reinterpret_cast<const __m256i*>
(accumulation[perspectives[p]])[j * 2 + 0]);
__m256i sum1 = _mm256_load_si256(&reinterpret_cast<const __m256i*>
(accumulation[perspectives[p]])[j * 2 + 1]);
_mm256_store_si256(&out[j], _mm256_permute4x64_epi64(
_mm256_max_epi8(_mm256_packs_epi16(sum0, sum1), Zero), Control));
}
}
return psqt;
#elif defined(USE_SSE2)
auto accumulation = reinterpret_cast<__m128i*>(
&accumulator.accumulation[perspective][i][0]);
auto column = reinterpret_cast<const __m128i*>(&weights_[offset]);
constexpr IndexType kNumChunks = kHalfDimensions / (kSimdWidth / 2);
for (IndexType j = 0; j < kNumChunks; ++j)
accumulation[j] = _mm_add_epi16(accumulation[j], column[j]);
#ifdef USE_SSE41
constexpr IndexType NumChunks = HalfDimensions / SimdWidth;
const __m128i Zero = _mm_setzero_si128();
#else
constexpr IndexType NumChunks = HalfDimensions / SimdWidth;
const __m128i k0x80s = _mm_set1_epi8(-128);
#endif
for (IndexType p = 0; p < 2; ++p)
{
const IndexType offset = HalfDimensions * p;
auto out = reinterpret_cast<__m128i*>(&output[offset]);
for (IndexType j = 0; j < NumChunks; ++j)
{
__m128i sum0 = _mm_load_si128(&reinterpret_cast<const __m128i*>
(accumulation[perspectives[p]])[j * 2 + 0]);
__m128i sum1 = _mm_load_si128(&reinterpret_cast<const __m128i*>
(accumulation[perspectives[p]])[j * 2 + 1]);
const __m128i packedbytes = _mm_packs_epi16(sum0, sum1);
#ifdef USE_SSE41
_mm_store_si128(&out[j], _mm_max_epi8(packedbytes, Zero));
#else
_mm_store_si128(&out[j], _mm_subs_epi8(_mm_adds_epi8(packedbytes, k0x80s), k0x80s));
#endif
}
}
return psqt;
#elif defined(USE_MMX)
auto accumulation = reinterpret_cast<__m64*>(
&accumulator.accumulation[perspective][i][0]);
auto column = reinterpret_cast<const __m64*>(&weights_[offset]);
constexpr IndexType kNumChunks = kHalfDimensions / (kSimdWidth / 2);
for (IndexType j = 0; j < kNumChunks; ++j) {
accumulation[j] = _mm_add_pi16(accumulation[j], column[j]);
constexpr IndexType NumChunks = HalfDimensions / SimdWidth;
const __m64 k0x80s = _mm_set1_pi8(-128);
for (IndexType p = 0; p < 2; ++p)
{
const IndexType offset = HalfDimensions * p;
auto out = reinterpret_cast<__m64*>(&output[offset]);
for (IndexType j = 0; j < NumChunks; ++j)
{
__m64 sum0 = *(&reinterpret_cast<const __m64*>(accumulation[perspectives[p]])[j * 2 + 0]);
__m64 sum1 = *(&reinterpret_cast<const __m64*>(accumulation[perspectives[p]])[j * 2 + 1]);
const __m64 packedbytes = _mm_packs_pi16(sum0, sum1);
out[j] = _mm_subs_pi8(_mm_adds_pi8(packedbytes, k0x80s), k0x80s);
}
}
_mm_empty();
return psqt;
#elif defined(USE_NEON)
auto accumulation = reinterpret_cast<int16x8_t*>(
&accumulator.accumulation[perspective][i][0]);
auto column = reinterpret_cast<const int16x8_t*>(&weights_[offset]);
constexpr IndexType kNumChunks = kHalfDimensions / (kSimdWidth / 2);
for (IndexType j = 0; j < kNumChunks; ++j)
accumulation[j] = vaddq_s16(accumulation[j], column[j]);
constexpr IndexType NumChunks = HalfDimensions / (SimdWidth / 2);
const int8x8_t Zero = {0};
for (IndexType p = 0; p < 2; ++p)
{
const IndexType offset = HalfDimensions * p;
const auto out = reinterpret_cast<int8x8_t*>(&output[offset]);
for (IndexType j = 0; j < NumChunks; ++j)
{
int16x8_t sum = reinterpret_cast<const int16x8_t*>(accumulation[perspectives[p]])[j];
out[j] = vmax_s8(vqmovn_s16(sum), Zero);
}
}
return psqt;
#else
for (IndexType j = 0; j < kHalfDimensions; ++j)
accumulator.accumulation[perspective][i][j] += weights_[offset + j];
#endif
}
for (IndexType p = 0; p < 2; ++p)
{
const IndexType offset = HalfDimensions * p;
for (IndexType j = 0; j < HalfDimensions; ++j)
{
BiasType sum = accumulation[perspectives[p]][j];
output[offset + j] = static_cast<OutputType>(std::max<int>(0, std::min<int>(127, sum)));
}
}
#if defined(USE_MMX)
_mm_empty();
return psqt;
#endif
accumulator.computed_accumulation = true;
accumulator.computed_score = false;
}
} // end of function transform()
// Calculate cumulative value using difference calculation
void UpdateAccumulator(const Position& pos) const {
const auto prev_accumulator = pos.state()->previous->accumulator;
auto& accumulator = pos.state()->accumulator;
IndexType i = 0;
Features::IndexList removed_indices[2], added_indices[2];
bool reset[2];
RawFeatures::AppendChangedIndices(pos, kRefreshTriggers[i],
removed_indices, added_indices, reset);
for (Color perspective : { WHITE, BLACK }) {
#if defined(USE_AVX2)
constexpr IndexType kNumChunks = kHalfDimensions / (kSimdWidth / 2);
auto accumulation = reinterpret_cast<__m256i*>(
&accumulator.accumulation[perspective][i][0]);
#elif defined(USE_SSE2)
constexpr IndexType kNumChunks = kHalfDimensions / (kSimdWidth / 2);
auto accumulation = reinterpret_cast<__m128i*>(
&accumulator.accumulation[perspective][i][0]);
private:
void update_accumulator(const Position& pos, const Color perspective) const {
#elif defined(USE_MMX)
constexpr IndexType kNumChunks = kHalfDimensions / (kSimdWidth / 2);
auto accumulation = reinterpret_cast<__m64*>(
&accumulator.accumulation[perspective][i][0]);
// The size must be enough to contain the largest possible update.
// That might depend on the feature set and generally relies on the
// feature set's update cost calculation to be correct and never
// allow updates with more added/removed features than MaxActiveDimensions.
using IndexList = ValueList<IndexType, FeatureSet::MaxActiveDimensions>;
#elif defined(USE_NEON)
constexpr IndexType kNumChunks = kHalfDimensions / (kSimdWidth / 2);
auto accumulation = reinterpret_cast<int16x8_t*>(
&accumulator.accumulation[perspective][i][0]);
#ifdef VECTOR
// Gcc-10.2 unnecessarily spills AVX2 registers if this array
// is defined in the VECTOR code below, once in each branch
vec_t acc[NumRegs];
psqt_vec_t psqt[NumPsqtRegs];
#endif
if (reset[perspective]) {
std::memcpy(accumulator.accumulation[perspective][i], biases_,
kHalfDimensions * sizeof(BiasType));
} else {
std::memcpy(accumulator.accumulation[perspective][i],
prev_accumulator.accumulation[perspective][i],
kHalfDimensions * sizeof(BiasType));
// Look for a usable accumulator of an earlier position. We keep track
// of the estimated gain in terms of features to be added/subtracted.
StateInfo *st = pos.state(), *next = nullptr;
int gain = FeatureSet::refresh_cost(pos);
while (st->previous && !st->accumulator.computed[perspective])
{
// This governs when a full feature refresh is needed and how many
// updates are better than just one full refresh.
if ( FeatureSet::requires_refresh(st, perspective)
|| (gain -= FeatureSet::update_cost(st) + 1) < 0)
break;
next = st;
st = st->previous;
}
if (st->accumulator.computed[perspective])
{
if (next == nullptr)
return;
// Update incrementally in two steps. First, we update the "next"
// accumulator. Then, we update the current accumulator (pos.state()).
// Gather all features to be updated.
const Square ksq = pos.square<KING>(perspective);
IndexList removed[2], added[2];
FeatureSet::append_changed_indices(
ksq, next, perspective, removed[0], added[0]);
for (StateInfo *st2 = pos.state(); st2 != next; st2 = st2->previous)
FeatureSet::append_changed_indices(
ksq, st2, perspective, removed[1], added[1]);
// Mark the accumulators as computed.
next->accumulator.computed[perspective] = true;
pos.state()->accumulator.computed[perspective] = true;
// Now update the accumulators listed in states_to_update[], where the last element is a sentinel.
StateInfo *states_to_update[3] =
{ next, next == pos.state() ? nullptr : pos.state(), nullptr };
#ifdef VECTOR
for (IndexType j = 0; j < HalfDimensions / TileHeight; ++j)
{
// Load accumulator
auto accTile = reinterpret_cast<vec_t*>(
&st->accumulator.accumulation[perspective][j * TileHeight]);
for (IndexType k = 0; k < NumRegs; ++k)
acc[k] = vec_load(&accTile[k]);
for (IndexType i = 0; states_to_update[i]; ++i)
{
// Difference calculation for the deactivated features
for (const auto index : removed[i])
{
const IndexType offset = HalfDimensions * index + j * TileHeight;
auto column = reinterpret_cast<const vec_t*>(&weights[offset]);
for (IndexType k = 0; k < NumRegs; ++k)
acc[k] = vec_sub_16(acc[k], column[k]);
}
// Difference calculation for the activated features
for (const auto index : added[i])
{
const IndexType offset = HalfDimensions * index + j * TileHeight;
auto column = reinterpret_cast<const vec_t*>(&weights[offset]);
for (IndexType k = 0; k < NumRegs; ++k)
acc[k] = vec_add_16(acc[k], column[k]);
}
// Store accumulator
accTile = reinterpret_cast<vec_t*>(
&states_to_update[i]->accumulator.accumulation[perspective][j * TileHeight]);
for (IndexType k = 0; k < NumRegs; ++k)
vec_store(&accTile[k], acc[k]);
}
}
for (IndexType j = 0; j < PSQTBuckets / PsqtTileHeight; ++j)
{
// Load accumulator
auto accTilePsqt = reinterpret_cast<psqt_vec_t*>(
&st->accumulator.psqtAccumulation[perspective][j * PsqtTileHeight]);
for (std::size_t k = 0; k < NumPsqtRegs; ++k)
psqt[k] = vec_load_psqt(&accTilePsqt[k]);
for (IndexType i = 0; states_to_update[i]; ++i)
{
// Difference calculation for the deactivated features
for (const auto index : removed[i])
{
const IndexType offset = PSQTBuckets * index + j * PsqtTileHeight;
auto columnPsqt = reinterpret_cast<const psqt_vec_t*>(&psqtWeights[offset]);
for (std::size_t k = 0; k < NumPsqtRegs; ++k)
psqt[k] = vec_sub_psqt_32(psqt[k], columnPsqt[k]);
}
// Difference calculation for the activated features
for (const auto index : added[i])
{
const IndexType offset = PSQTBuckets * index + j * PsqtTileHeight;
auto columnPsqt = reinterpret_cast<const psqt_vec_t*>(&psqtWeights[offset]);
for (std::size_t k = 0; k < NumPsqtRegs; ++k)
psqt[k] = vec_add_psqt_32(psqt[k], columnPsqt[k]);
}
// Store accumulator
accTilePsqt = reinterpret_cast<psqt_vec_t*>(
&states_to_update[i]->accumulator.psqtAccumulation[perspective][j * PsqtTileHeight]);
for (std::size_t k = 0; k < NumPsqtRegs; ++k)
vec_store_psqt(&accTilePsqt[k], psqt[k]);
}
}
#else
for (IndexType i = 0; states_to_update[i]; ++i)
{
std::memcpy(states_to_update[i]->accumulator.accumulation[perspective],
st->accumulator.accumulation[perspective],
HalfDimensions * sizeof(BiasType));
for (std::size_t k = 0; k < PSQTBuckets; ++k)
states_to_update[i]->accumulator.psqtAccumulation[perspective][k] = st->accumulator.psqtAccumulation[perspective][k];
st = states_to_update[i];
// Difference calculation for the deactivated features
for (const auto index : removed_indices[perspective]) {
const IndexType offset = kHalfDimensions * index;
for (const auto index : removed[i])
{
const IndexType offset = HalfDimensions * index;
#if defined(USE_AVX2)
auto column = reinterpret_cast<const __m256i*>(&weights_[offset]);
for (IndexType j = 0; j < kNumChunks; ++j) {
accumulation[j] = _mm256_sub_epi16(accumulation[j], column[j]);
}
for (IndexType j = 0; j < HalfDimensions; ++j)
st->accumulator.accumulation[perspective][j] -= weights[offset + j];
#elif defined(USE_SSE2)
auto column = reinterpret_cast<const __m128i*>(&weights_[offset]);
for (IndexType j = 0; j < kNumChunks; ++j) {
accumulation[j] = _mm_sub_epi16(accumulation[j], column[j]);
}
for (std::size_t k = 0; k < PSQTBuckets; ++k)
st->accumulator.psqtAccumulation[perspective][k] -= psqtWeights[index * PSQTBuckets + k];
}
#elif defined(USE_MMX)
auto column = reinterpret_cast<const __m64*>(&weights_[offset]);
for (IndexType j = 0; j < kNumChunks; ++j) {
accumulation[j] = _mm_sub_pi16(accumulation[j], column[j]);
}
// Difference calculation for the activated features
for (const auto index : added[i])
{
const IndexType offset = HalfDimensions * index;
#elif defined(USE_NEON)
auto column = reinterpret_cast<const int16x8_t*>(&weights_[offset]);
for (IndexType j = 0; j < kNumChunks; ++j) {
accumulation[j] = vsubq_s16(accumulation[j], column[j]);
}
#else
for (IndexType j = 0; j < kHalfDimensions; ++j) {
accumulator.accumulation[perspective][i][j] -=
weights_[offset + j];
}
#endif
for (IndexType j = 0; j < HalfDimensions; ++j)
st->accumulator.accumulation[perspective][j] += weights[offset + j];
for (std::size_t k = 0; k < PSQTBuckets; ++k)
st->accumulator.psqtAccumulation[perspective][k] += psqtWeights[index * PSQTBuckets + k];
}
}
{ // Difference calculation for the activated features
for (const auto index : added_indices[perspective]) {
const IndexType offset = kHalfDimensions * index;
#if defined(USE_AVX2)
auto column = reinterpret_cast<const __m256i*>(&weights_[offset]);
for (IndexType j = 0; j < kNumChunks; ++j) {
accumulation[j] = _mm256_add_epi16(accumulation[j], column[j]);
}
#elif defined(USE_SSE2)
auto column = reinterpret_cast<const __m128i*>(&weights_[offset]);
for (IndexType j = 0; j < kNumChunks; ++j) {
accumulation[j] = _mm_add_epi16(accumulation[j], column[j]);
}
#elif defined(USE_MMX)
auto column = reinterpret_cast<const __m64*>(&weights_[offset]);
for (IndexType j = 0; j < kNumChunks; ++j) {
accumulation[j] = _mm_add_pi16(accumulation[j], column[j]);
}
#elif defined(USE_NEON)
auto column = reinterpret_cast<const int16x8_t*>(&weights_[offset]);
for (IndexType j = 0; j < kNumChunks; ++j) {
accumulation[j] = vaddq_s16(accumulation[j], column[j]);
}
#else
for (IndexType j = 0; j < kHalfDimensions; ++j) {
accumulator.accumulation[perspective][i][j] +=
weights_[offset + j];
}
#endif
}
}
}
else
{
// Refresh the accumulator
auto& accumulator = pos.state()->accumulator;
accumulator.computed[perspective] = true;
IndexList active;
FeatureSet::append_active_indices(pos, perspective, active);
#ifdef VECTOR
for (IndexType j = 0; j < HalfDimensions / TileHeight; ++j)
{
auto biasesTile = reinterpret_cast<const vec_t*>(
&biases[j * TileHeight]);
for (IndexType k = 0; k < NumRegs; ++k)
acc[k] = biasesTile[k];
for (const auto index : active)
{
const IndexType offset = HalfDimensions * index + j * TileHeight;
auto column = reinterpret_cast<const vec_t*>(&weights[offset]);
for (unsigned k = 0; k < NumRegs; ++k)
acc[k] = vec_add_16(acc[k], column[k]);
}
auto accTile = reinterpret_cast<vec_t*>(
&accumulator.accumulation[perspective][j * TileHeight]);
for (unsigned k = 0; k < NumRegs; k++)
vec_store(&accTile[k], acc[k]);
}
for (IndexType j = 0; j < PSQTBuckets / PsqtTileHeight; ++j)
{
for (std::size_t k = 0; k < NumPsqtRegs; ++k)
psqt[k] = vec_zero_psqt();
for (const auto index : active)
{
const IndexType offset = PSQTBuckets * index + j * PsqtTileHeight;
auto columnPsqt = reinterpret_cast<const psqt_vec_t*>(&psqtWeights[offset]);
for (std::size_t k = 0; k < NumPsqtRegs; ++k)
psqt[k] = vec_add_psqt_32(psqt[k], columnPsqt[k]);
}
auto accTilePsqt = reinterpret_cast<psqt_vec_t*>(
&accumulator.psqtAccumulation[perspective][j * PsqtTileHeight]);
for (std::size_t k = 0; k < NumPsqtRegs; ++k)
vec_store_psqt(&accTilePsqt[k], psqt[k]);
}
#else
std::memcpy(accumulator.accumulation[perspective], biases,
HalfDimensions * sizeof(BiasType));
for (std::size_t k = 0; k < PSQTBuckets; ++k)
accumulator.psqtAccumulation[perspective][k] = 0;
for (const auto index : active)
{
const IndexType offset = HalfDimensions * index;
for (IndexType j = 0; j < HalfDimensions; ++j)
accumulator.accumulation[perspective][j] += weights[offset + j];
for (std::size_t k = 0; k < PSQTBuckets; ++k)
accumulator.psqtAccumulation[perspective][k] += psqtWeights[index * PSQTBuckets + k];
}
#endif
}
#if defined(USE_MMX)
_mm_empty();
#endif
accumulator.computed_accumulation = true;
accumulator.computed_score = false;
}
using BiasType = std::int16_t;
using WeightType = std::int16_t;
alignas(kCacheLineSize) BiasType biases_[kHalfDimensions];
alignas(kCacheLineSize)
WeightType weights_[kHalfDimensions * kInputDimensions];
alignas(CacheLineSize) BiasType biases[HalfDimensions];
alignas(CacheLineSize) WeightType weights[HalfDimensions * InputDimensions];
alignas(CacheLineSize) PSQTWeightType psqtWeights[InputDimensions * PSQTBuckets];
};
} // namespace Eval::NNUE
} // namespace Stockfish::Eval::NNUE
#endif // #ifndef NNUE_FEATURE_TRANSFORMER_H_INCLUDED
+48 -24
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -24,35 +24,38 @@
#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( 8, 27);
constexpr Score Doubled = S(11, 55);
constexpr Score Isolated = S( 5, 17);
constexpr Score WeakLever = S( 2, 54);
constexpr Score WeakUnopposed = S(15, 25);
constexpr Score Backward = S( 9, 22);
constexpr Score Doubled = S(13, 51);
constexpr Score DoubledEarly = S(20, 7);
constexpr Score Isolated = S( 3, 15);
constexpr Score WeakLever = S( 4, 58);
constexpr Score WeakUnopposed = S(13, 24);
// Bonus for blocked pawns at 5th or 6th rank
constexpr Score BlockedPawn[2] = { S(-13, -4), S(-4, 3) };
constexpr Score BlockedPawn[2] = { S(-17, -6), S(-9, 2) };
constexpr Score BlockedStorm[RANK_NB] = {
S(0, 0), S(0, 0), S(76, 78), S(-10, 15), S(-7, 10), S(-4, 6), S(-1, 2)
S(0, 0), S(0, 0), S(75, 78), S(-8, 16), S(-6, 10), S(-6, 6), S(0, 2)
};
// Connected pawn bonus
constexpr int Connected[RANK_NB] = { 0, 7, 8, 11, 24, 45, 85 };
constexpr int Connected[RANK_NB] = { 0, 5, 7, 11, 23, 48, 87 };
// 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( -6), V( 81), V( 93), V( 58), V( 39), V( 18), V( 25) },
{ V(-43), V( 61), V( 35), V(-49), V(-29), V(-11), V( -63) },
{ V(-10), V( 75), V( 23), V( -2), V( 32), V( 3), V( -45) },
{ V(-39), V(-13), V(-29), V(-52), V(-48), V(-67), V(-166) }
{ V( -5), V( 82), V( 92), V( 54), V( 36), V( 22), V( 28) },
{ V(-44), V( 63), V( 33), V(-50), V(-30), V(-12), V( -62) },
{ V(-11), V( 77), V( 22), V( -6), V( 31), V( 8), V( -45) },
{ V(-39), V(-12), V(-29), V(-50), V(-43), V(-68), V(-164) }
};
// Danger of enemy pawns moving toward our king by [distance from edge][rank].
@@ -60,12 +63,18 @@ namespace {
// 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( 85), V(-289), V(-166), V(97), V(50), V( 45), V( 50) },
{ V( 46), V( -25), V( 122), V(45), V(37), V(-10), V( 20) },
{ V( -6), V( 51), V( 168), V(34), V(-2), V(-22), V(-14) },
{ V(-15), V( -11), V( 101), V( 4), V(11), V(-15), V(-29) }
{ V( 87), V(-288), V(-168), V( 96), V( 47), V( 44), V( 46) },
{ V( 42), V( -25), V( 120), V( 45), V( 34), V( -9), V( 24) },
{ V( -8), V( 51), V( 167), V( 35), V( -4), V(-16), V(-12) },
{ V(-17), V( -13), V( 100), V( 4), V( 9), V(-16), V(-31) }
};
// 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(-21,10), S(-7, 1) },
{ S( 0,-3), S( 9,-4) }};
#undef S
#undef V
@@ -80,13 +89,14 @@ namespace {
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;
const Square* pl = pos.squares<PAWN>(Us);
Bitboard b = pos.pieces(Us, PAWN);
Bitboard ourPawns = pos.pieces( Us, PAWN);
Bitboard theirPawns = pos.pieces(Them, PAWN);
@@ -99,8 +109,10 @@ namespace {
e->blockedCount += popcount(shift<Up>(ourPawns) & (theirPawns | doubleAttackThem));
// Loop through all pawns of the current color and score each pawn
while ((s = *pl++) != SQ_NONE)
while (b)
{
s = pop_lsb(b);
assert(pos.piece_on(s) == make_piece(Us, PAWN));
Rank r = relative_rank(Us, s);
@@ -116,6 +128,13 @@ namespace {
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))
@@ -147,7 +166,7 @@ namespace {
if (support | phalanx)
{
int v = Connected[r] * (2 + bool(phalanx) - bool(opposed))
+ 21 * popcount(support);
+ 22 * popcount(support);
score += make_score(v, v * (r - 2) / 4);
}
@@ -165,14 +184,14 @@ namespace {
else if (backward)
score -= Backward
+ WeakUnopposed * !opposed;
+ WeakUnopposed * !opposed * bool(~(FileABB | FileHBB) & s);
if (!support)
score -= Doubled * doubled
+ WeakLever * more_than_one(lever);
if (blocked && r > RANK_4)
score += BlockedPawn[r-4];
if (blocked && r >= RANK_5)
score += BlockedPawn[r - RANK_5];
}
return score;
@@ -237,6 +256,9 @@ Score Entry::evaluate_shelter(const Position& pos, Square ksq) const {
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;
}
@@ -269,7 +291,7 @@ Score Entry::do_king_safety(const Position& pos) {
if (pawns & attacks_bb<KING>(ksq))
minPawnDist = 1;
else while (pawns)
minPawnDist = std::min(minPawnDist, distance(ksq, pop_lsb(&pawns)));
minPawnDist = std::min(minPawnDist, distance(ksq, pop_lsb(pawns)));
return shelter - make_score(0, 16 * minPawnDist);
}
@@ -279,3 +301,5 @@ template Score Entry::do_king_safety<WHITE>(const Position& pos);
template Score Entry::do_king_safety<BLACK>(const Position& pos);
} // namespace Pawns
} // namespace Stockfish
+3 -3
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -23,7 +23,7 @@
#include "position.h"
#include "types.h"
namespace Pawns {
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
@@ -65,6 +65,6 @@ typedef HashTable<Entry, 131072> Table;
Entry* probe(const Position& pos);
} // namespace Pawns
} // namespace Stockfish::Pawns
#endif // #ifndef PAWNS_H_INCLUDED
+60 -61
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -34,6 +34,8 @@
using std::string;
namespace Stockfish {
namespace Zobrist {
Key psq[PIECE_NB][SQUARE_NB];
@@ -71,12 +73,14 @@ std::ostream& operator<<(std::ostream& os, const Position& pos) {
<< std::setfill(' ') << std::dec << "\nCheckers: ";
for (Bitboard b = pos.checkers(); b; )
os << UCI::square(pop_lsb(&b)) << " ";
os << UCI::square(pop_lsb(b)) << " ";
if ( int(Tablebases::MaxCardinality) >= popcount(pos.pieces())
&& !pos.can_castle(ANY_CASTLING))
{
StateInfo st;
ASSERT_ALIGNED(&st, Eval::NNUE::CacheLineSize);
Position p;
p.set(pos.fen(), pos.is_chess960(), &st, pos.this_thread());
Tablebases::ProbeState s1, s2;
@@ -195,7 +199,6 @@ Position& Position::set(const string& fenStr, bool isChess960, StateInfo* si, Th
std::memset(this, 0, sizeof(Position));
std::memset(si, 0, sizeof(StateInfo));
std::fill_n(&pieceList[0][0], sizeof(pieceList) / sizeof(Square), SQ_NONE);
st = si;
ss >> std::noskipws;
@@ -302,7 +305,7 @@ void Position::set_castling_right(Color c, Square rfrom) {
Square kto = relative_square(c, cr & KING_SIDE ? SQ_G1 : SQ_C1);
Square rto = relative_square(c, cr & KING_SIDE ? SQ_F1 : SQ_D1);
castlingPath[cr] = (between_bb(rfrom, rto) | between_bb(kfrom, kto) | rto | kto)
castlingPath[cr] = (between_bb(rfrom, rto) | between_bb(kfrom, kto))
& ~(kfrom | rfrom);
}
@@ -341,7 +344,7 @@ void Position::set_state(StateInfo* si) const {
for (Bitboard b = pieces(); b; )
{
Square s = pop_lsb(&b);
Square s = pop_lsb(b);
Piece pc = piece_on(s);
si->key ^= Zobrist::psq[pc][s];
@@ -392,7 +395,7 @@ Position& Position::set(const string& code, Color c, StateInfo* si) {
/// Position::fen() returns a FEN representation of the position. In case of
/// Chess960 the Shredder-FEN notation is used. This is mainly a debugging function.
const string Position::fen() const {
string Position::fen() const {
int emptyCnt;
std::ostringstream ss;
@@ -458,7 +461,7 @@ Bitboard Position::slider_blockers(Bitboard sliders, Square s, Bitboard& pinners
while (snipers)
{
Square sniperSq = pop_lsb(&snipers);
Square sniperSq = pop_lsb(snipers);
Bitboard b = between_bb(s, sniperSq) & occupancy;
if (b && !more_than_one(b))
@@ -502,7 +505,7 @@ bool Position::legal(Move m) const {
// En passant captures are a tricky special case. Because they are rather
// uncommon, we do it simply by testing whether the king is attacked after
// the move is made.
if (type_of(m) == ENPASSANT)
if (type_of(m) == EN_PASSANT)
{
Square ksq = square<KING>(us);
Square capsq = to - pawn_push(us);
@@ -530,22 +533,20 @@ bool Position::legal(Move m) const {
if (attackers_to(s) & pieces(~us))
return false;
// In case of Chess960, verify that when moving the castling rook we do
// not discover some hidden checker.
// In case of Chess960, verify if the Rook blocks some checks
// For instance an enemy queen in SQ_A1 when castling rook is in SQ_B1.
return !chess960
|| !(attacks_bb<ROOK>(to, pieces() ^ to_sq(m)) & pieces(~us, ROOK, QUEEN));
return !chess960 || !(blockers_for_king(us) & to_sq(m));
}
// If the moving piece is a king, check whether the destination square is
// attacked by the opponent.
if (type_of(piece_on(from)) == KING)
return !(attackers_to(to) & pieces(~us));
return !(attackers_to(to, pieces() ^ from) & pieces(~us));
// A non-king move is legal if and only if it is not pinned or it
// is moving along the ray towards or away from the king.
return !(blockers_for_king(us) & from)
|| aligned(from, to, square<KING>(us));
return !(blockers_for_king(us) & from)
|| aligned(from, to, square<KING>(us));
}
@@ -561,8 +562,10 @@ bool Position::pseudo_legal(const Move m) const {
Piece pc = moved_piece(m);
// Use a slower but simpler function for uncommon cases
// yet we skip the legality check of MoveList<LEGAL>().
if (type_of(m) != NORMAL)
return MoveList<LEGAL>(*this).contains(m);
return checkers() ? MoveList< EVASIONS>(*this).contains(m)
: MoveList<NON_EVASIONS>(*this).contains(m);
// Is not a promotion, so promotion piece must be empty
if (promotion_type(m) - KNIGHT != NO_PIECE_TYPE)
@@ -607,8 +610,8 @@ bool Position::pseudo_legal(const Move m) const {
if (more_than_one(checkers()))
return false;
// Our move must be a blocking evasion or a capture of the checking piece
if (!((between_bb(lsb(checkers()), square<KING>(us)) | checkers()) & to))
// Our move must be a blocking interposition or a capture of the checking piece
if (!(between_bb(square<KING>(us), lsb(checkers())) & to))
return false;
}
// In case of king moves under check we have to remove king so as to catch
@@ -652,7 +655,7 @@ bool Position::gives_check(Move m) const {
// of direct checks and ordinary discovered check, so the only case we
// need to handle is the unusual case of a discovered check through
// the captured pawn.
case ENPASSANT:
case EN_PASSANT:
{
Square capsq = make_square(file_of(to), rank_of(from));
Bitboard b = (pieces() ^ from ^ capsq) | to;
@@ -660,19 +663,15 @@ bool Position::gives_check(Move m) const {
return (attacks_bb< ROOK>(square<KING>(~sideToMove), b) & pieces(sideToMove, QUEEN, ROOK))
| (attacks_bb<BISHOP>(square<KING>(~sideToMove), b) & pieces(sideToMove, QUEEN, BISHOP));
}
case CASTLING:
default: //CASTLING
{
Square kfrom = from;
Square rfrom = to; // Castling is encoded as 'king captures the rook'
Square kto = relative_square(sideToMove, rfrom > kfrom ? SQ_G1 : SQ_C1);
Square rto = relative_square(sideToMove, rfrom > kfrom ? SQ_F1 : SQ_D1);
// Castling is encoded as 'king captures the rook'
Square ksq = square<KING>(~sideToMove);
Square rto = relative_square(sideToMove, to > from ? SQ_F1 : SQ_D1);
return (attacks_bb<ROOK>(rto) & square<KING>(~sideToMove))
&& (attacks_bb<ROOK>(rto, (pieces() ^ kfrom ^ rfrom) | rto | kto) & square<KING>(~sideToMove));
return (attacks_bb<ROOK>(rto) & ksq)
&& (attacks_bb<ROOK>(rto, pieces() ^ from ^ to) & ksq);
}
default:
assert(false);
return false;
}
}
@@ -703,8 +702,8 @@ void Position::do_move(Move m, StateInfo& newSt, bool givesCheck) {
++st->pliesFromNull;
// Used by NNUE
st->accumulator.computed_accumulation = false;
st->accumulator.computed_score = false;
st->accumulator.computed[WHITE] = false;
st->accumulator.computed[BLACK] = false;
auto& dp = st->dirtyPiece;
dp.dirty_num = 1;
@@ -713,7 +712,7 @@ void Position::do_move(Move m, StateInfo& newSt, bool givesCheck) {
Square from = from_sq(m);
Square to = to_sq(m);
Piece pc = piece_on(from);
Piece captured = type_of(m) == ENPASSANT ? make_piece(them, PAWN) : piece_on(to);
Piece captured = type_of(m) == EN_PASSANT ? make_piece(them, PAWN) : piece_on(to);
assert(color_of(pc) == us);
assert(captured == NO_PIECE || color_of(captured) == (type_of(m) != CASTLING ? them : us));
@@ -739,7 +738,7 @@ void Position::do_move(Move m, StateInfo& newSt, bool givesCheck) {
// update non-pawn material.
if (type_of(captured) == PAWN)
{
if (type_of(m) == ENPASSANT)
if (type_of(m) == EN_PASSANT)
{
capsq -= pawn_push(us);
@@ -766,7 +765,7 @@ void Position::do_move(Move m, StateInfo& newSt, bool givesCheck) {
// Update board and piece lists
remove_piece(capsq);
if (type_of(m) == ENPASSANT)
if (type_of(m) == EN_PASSANT)
board[capsq] = NO_PIECE;
// Update material hash key and prefetch access to materialTable
@@ -812,7 +811,7 @@ void Position::do_move(Move m, StateInfo& newSt, bool givesCheck) {
// If the moving piece is a pawn do some special extra work
if (type_of(pc) == PAWN)
{
// Set en-passant square if the moved pawn can be captured
// Set en passant square if the moved pawn can be captured
if ( (int(to) ^ int(from)) == 16
&& (pawn_attacks_bb(us, to - pawn_push(us)) & pieces(them, PAWN)))
{
@@ -935,7 +934,7 @@ void Position::undo_move(Move m) {
{
Square capsq = to;
if (type_of(m) == ENPASSANT)
if (type_of(m) == EN_PASSANT)
{
capsq -= pawn_push(us);
@@ -989,7 +988,7 @@ void Position::do_castling(Color us, Square from, Square& to, Square& rfrom, Squ
}
/// Position::do(undo)_null_move() is used to do(undo) a "null move": it flips
/// Position::do_null_move() is used to do a "null move": it flips
/// the side to move without executing any move on the board.
void Position::do_null_move(StateInfo& newSt) {
@@ -997,17 +996,16 @@ void Position::do_null_move(StateInfo& newSt) {
assert(!checkers());
assert(&newSt != st);
if (Eval::useNNUE)
{
std::memcpy(&newSt, st, sizeof(StateInfo));
st->accumulator.computed_score = false;
}
else
std::memcpy(&newSt, st, offsetof(StateInfo, accumulator));
std::memcpy(&newSt, st, offsetof(StateInfo, accumulator));
newSt.previous = st;
st = &newSt;
st->dirtyPiece.dirty_num = 0;
st->dirtyPiece.piece[0] = NO_PIECE; // Avoid checks in UpdateAccumulator()
st->accumulator.computed[WHITE] = false;
st->accumulator.computed[BLACK] = false;
if (st->epSquare != SQ_NONE)
{
st->key ^= Zobrist::enpassant[file_of(st->epSquare)];
@@ -1015,7 +1013,7 @@ void Position::do_null_move(StateInfo& newSt) {
}
st->key ^= Zobrist::side;
prefetch(TT.first_entry(st->key));
prefetch(TT.first_entry(key()));
++st->rule50;
st->pliesFromNull = 0;
@@ -1029,6 +1027,9 @@ void Position::do_null_move(StateInfo& newSt) {
assert(pos_is_ok());
}
/// Position::undo_null_move() must be used to undo a "null move"
void Position::undo_null_move() {
assert(!checkers());
@@ -1040,7 +1041,7 @@ void Position::undo_null_move() {
/// Position::key_after() computes the new hash key after the given move. Needed
/// for speculative prefetch. It doesn't recognize special moves like castling,
/// en-passant and promotions.
/// en passant and promotions.
Key Position::key_after(Move m) const {
@@ -1065,7 +1066,7 @@ bool Position::see_ge(Move m, Value threshold) const {
assert(is_ok(m));
// Only deal with normal moves, assume others pass a simple see
// Only deal with normal moves, assume others pass a simple SEE
if (type_of(m) != NORMAL)
return VALUE_ZERO >= threshold;
@@ -1094,8 +1095,8 @@ bool Position::see_ge(Move m, Value threshold) const {
if (!(stmAttackers = attackers & pieces(stm)))
break;
// Don't allow pinned pieces to attack (except the king) as long as
// there are pinners on their original square.
// Don't allow pinned pieces to attack as long as there are
// pinners on their original square.
if (pinners(~stm) & occupied)
stmAttackers &= ~blockers_for_king(stm);
@@ -1111,7 +1112,7 @@ bool Position::see_ge(Move m, Value threshold) const {
if ((swap = PawnValueMg - swap) < res)
break;
occupied ^= lsb(bb);
occupied ^= least_significant_square_bb(bb);
attackers |= attacks_bb<BISHOP>(to, occupied) & pieces(BISHOP, QUEEN);
}
@@ -1120,7 +1121,7 @@ bool Position::see_ge(Move m, Value threshold) const {
if ((swap = KnightValueMg - swap) < res)
break;
occupied ^= lsb(bb);
occupied ^= least_significant_square_bb(bb);
}
else if ((bb = stmAttackers & pieces(BISHOP)))
@@ -1128,7 +1129,7 @@ bool Position::see_ge(Move m, Value threshold) const {
if ((swap = BishopValueMg - swap) < res)
break;
occupied ^= lsb(bb);
occupied ^= least_significant_square_bb(bb);
attackers |= attacks_bb<BISHOP>(to, occupied) & pieces(BISHOP, QUEEN);
}
@@ -1137,7 +1138,7 @@ bool Position::see_ge(Move m, Value threshold) const {
if ((swap = RookValueMg - swap) < res)
break;
occupied ^= lsb(bb);
occupied ^= least_significant_square_bb(bb);
attackers |= attacks_bb<ROOK>(to, occupied) & pieces(ROOK, QUEEN);
}
@@ -1146,7 +1147,7 @@ bool Position::see_ge(Move m, Value threshold) const {
if ((swap = QueenValueMg - swap) < res)
break;
occupied ^= lsb(bb);
occupied ^= least_significant_square_bb(bb);
attackers |= (attacks_bb<BISHOP>(to, occupied) & pieces(BISHOP, QUEEN))
| (attacks_bb<ROOK >(to, occupied) & pieces(ROOK , QUEEN));
}
@@ -1220,7 +1221,7 @@ bool Position::has_game_cycle(int ply) const {
Square s1 = from_sq(move);
Square s2 = to_sq(move);
if (!(between_bb(s1, s2) & pieces()))
if (!((between_bb(s1, s2) ^ s2) & pieces()))
{
if (ply > i)
return true;
@@ -1317,21 +1318,17 @@ bool Position::pos_is_ok() const {
assert(0 && "pos_is_ok: Bitboards");
StateInfo si = *st;
ASSERT_ALIGNED(&si, Eval::NNUE::CacheLineSize);
set_state(&si);
if (std::memcmp(&si, st, sizeof(StateInfo)))
assert(0 && "pos_is_ok: State");
for (Piece pc : Pieces)
{
if ( pieceCount[pc] != popcount(pieces(color_of(pc), type_of(pc)))
|| pieceCount[pc] != std::count(board, board + SQUARE_NB, pc))
assert(0 && "pos_is_ok: Pieces");
for (int i = 0; i < pieceCount[pc]; ++i)
if (board[pieceList[pc][i]] != pc || index[pieceList[pc][i]] != i)
assert(0 && "pos_is_ok: Index");
}
for (Color c : { WHITE, BLACK })
for (CastlingRights cr : {c & KING_SIDE, c & QUEEN_SIDE})
{
@@ -1346,3 +1343,5 @@ bool Position::pos_is_ok() const {
return true;
}
} // namespace Stockfish
+20 -48
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -26,10 +26,12 @@
#include "bitboard.h"
#include "evaluate.h"
#include "psqt.h"
#include "types.h"
#include "nnue/nnue_accumulator.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
@@ -49,11 +51,11 @@ struct StateInfo {
// Not copied when making a move (will be recomputed anyhow)
Key key;
Bitboard checkersBB;
Piece capturedPiece;
StateInfo* previous;
Bitboard blockersForKing[COLOR_NB];
Bitboard pinners[COLOR_NB];
Bitboard checkSquares[PIECE_TYPE_NB];
Piece capturedPiece;
int repetition;
// Used by NNUE
@@ -86,7 +88,7 @@ public:
// 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);
const std::string fen() const;
std::string fen() const;
// Position representation
Bitboard pieces(PieceType pt) const;
@@ -99,7 +101,6 @@ public:
bool empty(Square s) const;
template<PieceType Pt> int count(Color c) const;
template<PieceType Pt> int count() const;
template<PieceType Pt> const Square* squares(Color c) const;
template<PieceType Pt> Square square(Color c) const;
bool is_on_semiopen_file(Color c, Square s) const;
@@ -114,7 +115,6 @@ public:
Bitboard blockers_for_king(Color c) const;
Bitboard check_squares(PieceType pt) const;
Bitboard pinners(Color c) const;
bool is_discovery_check_on_king(Color c, Move m) const;
// Attacks to/from a given square
Bitboard attackers_to(Square s) const;
@@ -127,7 +127,6 @@ public:
bool capture(Move m) const;
bool capture_or_promotion(Move m) const;
bool gives_check(Move m) const;
bool advanced_pawn_push(Move m) const;
Piece moved_piece(Move m) const;
Piece captured_piece() const;
@@ -172,6 +171,9 @@ public:
// Used by NNUE
StateInfo* state() const;
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);
@@ -179,8 +181,6 @@ private:
void set_check_info(StateInfo* si) const;
// Other helpers
void put_piece(Piece pc, Square s);
void remove_piece(Square s);
void move_piece(Square from, Square to);
template<bool Do>
void do_castling(Color us, Square from, Square& to, Square& rfrom, Square& rto);
@@ -190,23 +190,17 @@ private:
Bitboard byTypeBB[PIECE_TYPE_NB];
Bitboard byColorBB[COLOR_NB];
int pieceCount[PIECE_NB];
Square pieceList[PIECE_NB][16];
int index[SQUARE_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;
Thread* thisThread;
StateInfo* st;
bool chess960;
};
namespace PSQT {
extern Score psq[PIECE_NB][SQUARE_NB];
}
extern std::ostream& operator<<(std::ostream& os, const Position& pos);
inline Color Position::side_to_move() const {
@@ -254,13 +248,9 @@ template<PieceType Pt> inline int Position::count() const {
return count<Pt>(WHITE) + count<Pt>(BLACK);
}
template<PieceType Pt> inline const Square* Position::squares(Color c) const {
return pieceList[make_piece(c, Pt)];
}
template<PieceType Pt> inline Square Position::square(Color c) const {
assert(pieceCount[make_piece(c, Pt)] == 1);
return squares<Pt>(c)[0];
assert(count<Pt>(c) == 1);
return lsb(pieces(c, Pt));
}
inline Square Position::ep_square() const {
@@ -311,25 +301,17 @@ inline Bitboard Position::check_squares(PieceType pt) const {
return st->checkSquares[pt];
}
inline bool Position::is_discovery_check_on_king(Color c, Move m) const {
return st->blockersForKing[c] & from_sq(m);
}
inline bool Position::pawn_passed(Color c, Square s) const {
return !(pieces(~c, PAWN) & passed_pawn_span(c, s));
}
inline bool Position::advanced_pawn_push(Move m) const {
return type_of(moved_piece(m)) == PAWN
&& relative_rank(sideToMove, to_sq(m)) > RANK_5;
}
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 st->key;
return st->rule50 < 14 ? st->key
: st->key ^ make_key((st->rule50 - 14) / 8);
}
inline Key Position::pawn_key() const {
@@ -378,7 +360,7 @@ inline bool Position::capture_or_promotion(Move m) const {
inline bool Position::capture(Move m) const {
assert(is_ok(m));
// Castling is encoded as "king captures rook"
return (!empty(to_sq(m)) && type_of(m) != CASTLING) || type_of(m) == ENPASSANT;
return (!empty(to_sq(m)) && type_of(m) != CASTLING) || type_of(m) == EN_PASSANT;
}
inline Piece Position::captured_piece() const {
@@ -394,35 +376,25 @@ 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;
index[s] = pieceCount[pc]++;
pieceList[pc][index[s]] = s;
pieceCount[pc]++;
pieceCount[make_piece(color_of(pc), ALL_PIECES)]++;
psq += PSQT::psq[pc][s];
}
inline void Position::remove_piece(Square s) {
// WARNING: This is not a reversible operation. If we remove a piece in
// do_move() and then replace it in undo_move() we will put it at the end of
// the list and not in its original place, it means index[] and pieceList[]
// are not invariant to a do_move() + undo_move() sequence.
Piece pc = board[s];
byTypeBB[ALL_PIECES] ^= s;
byTypeBB[type_of(pc)] ^= s;
byColorBB[color_of(pc)] ^= s;
/* board[s] = NO_PIECE; Not needed, overwritten by the capturing one */
Square lastSquare = pieceList[pc][--pieceCount[pc]];
index[lastSquare] = index[s];
pieceList[pc][index[lastSquare]] = lastSquare;
pieceList[pc][pieceCount[pc]] = SQ_NONE;
board[s] = NO_PIECE;
pieceCount[pc]--;
pieceCount[make_piece(color_of(pc), ALL_PIECES)]--;
psq -= PSQT::psq[pc][s];
}
inline void Position::move_piece(Square from, Square to) {
// index[from] is not updated and becomes stale. This works as long as index[]
// is accessed just by known occupied squares.
Piece pc = board[from];
Bitboard fromTo = from | to;
byTypeBB[ALL_PIECES] ^= fromTo;
@@ -430,8 +402,6 @@ inline void Position::move_piece(Square from, Square to) {
byColorBB[color_of(pc)] ^= fromTo;
board[from] = NO_PIECE;
board[to] = pc;
index[to] = index[from];
pieceList[pc][index[to]] = to;
psq += PSQT::psq[pc][to] - PSQT::psq[pc][from];
}
@@ -444,4 +414,6 @@ inline StateInfo* Position::state() const {
return st;
}
} // namespace Stockfish
#endif // #ifndef POSITION_H_INCLUDED
+44 -35
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -16,19 +16,23 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "psqt.h"
#include <algorithm>
#include "types.h"
#include "bitboard.h"
#include "types.h"
namespace PSQT {
namespace Stockfish {
#define S(mg, eg) make_score(mg, eg)
namespace
{
// Bonus[PieceType][Square / 2] contains Piece-Square scores. For each piece
// type on a given square a (middlegame, endgame) score pair is assigned. Table
// is defined for files A..D and white side: it is symmetric for black side and
// second half of the files.
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] = {
{ },
{ },
@@ -43,14 +47,14 @@ constexpr Score Bonus[][RANK_NB][int(FILE_NB) / 2] = {
{ S(-201,-100), S(-83,-88), S(-56,-56), S(-26,-17) }
},
{ // Bishop
{ S(-53,-57), S( -5,-30), S( -8,-37), S(-23,-12) },
{ S(-15,-37), S( 8,-13), S( 19,-17), S( 4, 1) },
{ S( -7,-16), S( 21, -1), S( -5, -2), S( 17, 10) },
{ S( -5,-20), S( 11, -6), S( 25, 0), S( 39, 17) },
{ S(-12,-17), S( 29, -1), S( 22,-14), S( 31, 15) },
{ S(-16,-30), S( 6, 6), S( 1, 4), S( 11, 6) },
{ S(-17,-31), S(-14,-20), S( 5, -1), S( 0, 1) },
{ S(-48,-46), S( 1,-42), S(-14,-37), S(-23,-24) }
{ 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) },
@@ -64,13 +68,13 @@ constexpr Score Bonus[][RANK_NB][int(FILE_NB) / 2] = {
},
{ // Queen
{ S( 3,-69), S(-5,-57), S(-5,-47), S( 4,-26) },
{ S(-3,-55), S( 5,-31), S( 8,-22), S(12, -4) },
{ 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,-12), S( 8, 1) },
{ 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,-75), S(-2,-52), S( 1,-43), S(-2,-36) }
{ 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) },
@@ -87,19 +91,22 @@ constexpr Score Bonus[][RANK_NB][int(FILE_NB) / 2] = {
constexpr Score PBonus[RANK_NB][FILE_NB] =
{ // Pawn (asymmetric distribution)
{ },
{ S( 3,-10), S( 3, -6), S( 10, 10), S( 19, 0), S( 16, 14), S( 19, 7), S( 7, -5), S( -5,-19) },
{ S( -9,-10), S(-15,-10), S( 11,-10), S( 15, 4), S( 32, 4), S( 22, 3), S( 5, -6), S(-22, -4) },
{ S( -4, 6), S(-23, -2), S( 6, -8), S( 20, -4), S( 40,-13), S( 17,-12), S( 4,-10), S( -8, -9) },
{ S( 13, 10), S( 0, 5), S(-13, 4), S( 1, -5), S( 11, -5), S( -2, -5), S(-13, 14), S( 5, 9) },
{ S( 5, 28), S(-12, 20), S( -7, 21), S( 22, 28), S( -8, 30), S( -5, 7), S(-15, 6), S( -8, 13) },
{ S( -7, 0), S( 7,-11), S( -3, 12), S(-13, 21), S( 5, 25), S(-16, 19), S( 10, 4), S( -8, 7) }
{ 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) }
};
#undef S
} // 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.
@@ -107,16 +114,18 @@ 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]);
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];
}
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
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -16,30 +16,23 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
//Common header of input features of NNUE evaluation function
#ifndef NNUE_FEATURES_COMMON_H_INCLUDED
#define NNUE_FEATURES_COMMON_H_INCLUDED
#ifndef PSQT_H_INCLUDED
#define PSQT_H_INCLUDED
#include "../../evaluate.h"
#include "../nnue_common.h"
namespace Eval::NNUE::Features {
#include "types.h"
class IndexList;
template <typename... FeatureTypes>
class FeatureSet;
namespace Stockfish::PSQT
{
// Trigger to perform full calculations instead of difference only
enum class TriggerEvent {
kFriendKingMoved // calculate full evaluation when own king moves
};
extern Score psq[PIECE_NB][SQUARE_NB];
enum class Side {
kFriend // side to move
};
// Fill psqt array from a set of internally linked parameters
extern void init();
} // namespace Eval::NNUE::Features
} // namespace Stockfish::PSQT
#endif // #ifndef NNUE_FEATURES_COMMON_H_INCLUDED
#endif // PSQT_H_INCLUDED
+255 -296
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File diff suppressed because it is too large Load Diff
+7 -2
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -25,6 +25,8 @@
#include "movepick.h"
#include "types.h"
namespace Stockfish {
class Position;
namespace Search {
@@ -49,6 +51,8 @@ struct Stack {
int moveCount;
bool inCheck;
bool ttPv;
bool ttHit;
int doubleExtensions;
};
@@ -70,7 +74,6 @@ struct RootMove {
Value previousScore = -VALUE_INFINITE;
int selDepth = 0;
int tbRank = 0;
int bestMoveCount = 0;
Value tbScore;
std::vector<Move> pv;
};
@@ -106,4 +109,6 @@ void clear();
} // namespace Search
} // namespace Stockfish
#endif // #ifndef SEARCH_H_INCLUDED
+31 -16
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -50,9 +50,11 @@
#include <windows.h>
#endif
using namespace Tablebases;
using namespace Stockfish::Tablebases;
int Tablebases::MaxCardinality;
int Stockfish::Tablebases::MaxCardinality;
namespace Stockfish {
namespace {
@@ -103,9 +105,6 @@ template<> inline void swap_endian<uint8_t>(uint8_t&) {}
template<typename T, int LE> T number(void* addr)
{
static const union { uint32_t i; char c[4]; } Le = { 0x01020304 };
static const bool IsLittleEndian = (Le.c[0] == 4);
T v;
if ((uintptr_t)addr & (alignof(T) - 1)) // Unaligned pointer (very rare)
@@ -190,7 +189,8 @@ public:
std::stringstream ss(Paths);
std::string path;
while (std::getline(ss, path, SepChar)) {
while (std::getline(ss, path, SepChar))
{
fname = path + "/" + f;
std::ifstream::open(fname);
if (is_open())
@@ -565,7 +565,8 @@ int decompress_pairs(PairsData* d, uint64_t idx) {
int buf64Size = 64;
Sym sym;
while (true) {
while (true)
{
int len = 0; // This is the symbol length - d->min_sym_len
// Now get the symbol length. For any symbol s64 of length l right-padded
@@ -603,8 +604,8 @@ int decompress_pairs(PairsData* d, uint64_t idx) {
// We binary-search for our value recursively expanding into the left and
// right child symbols until we reach a leaf node where symlen[sym] + 1 == 1
// that will store the value we need.
while (d->symlen[sym]) {
while (d->symlen[sym])
{
Sym left = d->btree[sym].get<LR::Left>();
// If a symbol contains 36 sub-symbols (d->symlen[sym] + 1 = 36) and
@@ -709,7 +710,7 @@ Ret do_probe_table(const Position& pos, T* entry, WDLScore wdl, ProbeState* resu
leadPawns = b = pos.pieces(color_of(pc), PAWN);
do
squares[size++] = pop_lsb(&b) ^ flipSquares;
squares[size++] = pop_lsb(b) ^ flipSquares;
while (b);
leadPawnsCnt = size;
@@ -729,7 +730,7 @@ Ret do_probe_table(const Position& pos, T* entry, WDLScore wdl, ProbeState* resu
// directly map them to the correct color and square.
b = pos.pieces() ^ leadPawns;
do {
Square s = pop_lsb(&b);
Square s = pop_lsb(b);
squares[size] = s ^ flipSquares;
pieces[size++] = Piece(pos.piece_on(s) ^ flipColor);
} while (b);
@@ -1000,7 +1001,7 @@ uint8_t* set_sizes(PairsData* d, uint8_t* data) {
// so that d->lowestSym[i] >= d->lowestSym[i+1] (when read as LittleEndian).
// Starting from this we compute a base64[] table indexed by symbol length
// and containing 64 bit values so that d->base64[i] >= d->base64[i+1].
// See http://www.eecs.harvard.edu/~michaelm/E210/huffman.pdf
// See https://en.wikipedia.org/wiki/Huffman_coding
for (int i = d->base64.size() - 2; i >= 0; --i) {
d->base64[i] = (d->base64[i + 1] + number<Sym, LittleEndian>(&d->lowestSym[i])
- number<Sym, LittleEndian>(&d->lowestSym[i + 1])) / 2;
@@ -1141,7 +1142,7 @@ void* mapped(TBTable<Type>& e, const Position& pos) {
if (e.ready.load(std::memory_order_acquire))
return e.baseAddress; // Could be nullptr if file does not exist
std::unique_lock<std::mutex> lk(mutex);
std::scoped_lock<std::mutex> lk(mutex);
if (e.ready.load(std::memory_order_relaxed)) // Recheck under lock
return e.baseAddress;
@@ -1440,7 +1441,7 @@ WDLScore Tablebases::probe_wdl(Position& pos, ProbeState* result) {
// If n = 100 immediately after a capture or pawn move, then the position
// is also certainly a win, and during the whole phase until the next
// capture or pawn move, the inequality to be preserved is
// dtz + 50-movecounter <= 100.
// dtz + 50-move-counter <= 100.
//
// In short, if a move is available resulting in dtz + 50-move-counter <= 99,
// then do not accept moves leading to dtz + 50-move-counter == 100.
@@ -1535,6 +1536,14 @@ bool Tablebases::root_probe(Position& pos, Search::RootMoves& rootMoves) {
WDLScore wdl = -probe_wdl(pos, &result);
dtz = dtz_before_zeroing(wdl);
}
else if (pos.is_draw(1))
{
// In case a root move leads to a draw by repetition or
// 50-move rule, we set dtz to zero. Note: since we are
// only 1 ply from the root, this must be a true 3-fold
// repetition inside the game history.
dtz = 0;
}
else
{
// Otherwise, take dtz for the new position and correct by 1 ply
@@ -1585,6 +1594,7 @@ bool Tablebases::root_probe_wdl(Position& pos, Search::RootMoves& rootMoves) {
ProbeState result;
StateInfo st;
WDLScore wdl;
bool rule50 = Options["Syzygy50MoveRule"];
@@ -1593,7 +1603,10 @@ bool Tablebases::root_probe_wdl(Position& pos, Search::RootMoves& rootMoves) {
{
pos.do_move(m.pv[0], st);
WDLScore wdl = -probe_wdl(pos, &result);
if (pos.is_draw(1))
wdl = WDLDraw;
else
wdl = -probe_wdl(pos, &result);
pos.undo_move(m.pv[0]);
@@ -1610,3 +1623,5 @@ bool Tablebases::root_probe_wdl(Position& pos, Search::RootMoves& rootMoves) {
return true;
}
} // namespace Stockfish
+3 -3
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -23,7 +23,7 @@
#include "../search.h"
namespace Tablebases {
namespace Stockfish::Tablebases {
enum WDLScore {
WDLLoss = -2, // Loss
@@ -73,6 +73,6 @@ inline std::ostream& operator<<(std::ostream& os, const ProbeState v) {
return os;
}
}
} // namespace Stockfish::Tablebases
#endif
+19 -13
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -26,6 +26,8 @@
#include "syzygy/tbprobe.h"
#include "tt.h"
namespace Stockfish {
ThreadPool Threads; // Global object
@@ -126,14 +128,16 @@ void Thread::idle_loop() {
void ThreadPool::set(size_t requested) {
if (size() > 0) { // destroy any existing thread(s)
if (size() > 0) // destroy any existing thread(s)
{
main()->wait_for_search_finished();
while (size() > 0)
delete back(), pop_back();
}
if (requested > 0) { // create new thread(s)
if (requested > 0) // create new thread(s)
{
push_back(new MainThread(0));
while (size() < requested)
@@ -224,16 +228,16 @@ Thread* ThreadPool::get_best_thread() const {
votes[th->rootMoves[0].pv[0]] +=
(th->rootMoves[0].score - minScore + 14) * int(th->completedDepth);
if (abs(bestThread->rootMoves[0].score) >= VALUE_TB_WIN_IN_MAX_PLY)
{
// Make sure we pick the shortest mate / TB conversion or stave off mate the longest
if (th->rootMoves[0].score > bestThread->rootMoves[0].score)
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]]))
bestThread = th;
if (abs(bestThread->rootMoves[0].score) >= VALUE_TB_WIN_IN_MAX_PLY)
{
// Make sure we pick the shortest mate / TB conversion or stave off mate the longest
if (th->rootMoves[0].score > bestThread->rootMoves[0].score)
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]]))
bestThread = th;
}
return bestThread;
@@ -258,3 +262,5 @@ void ThreadPool::wait_for_search_finished() const {
if (th != front())
th->wait_for_search_finished();
}
} // namespace Stockfish
+6 -2
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -32,6 +32,7 @@
#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
@@ -54,6 +55,7 @@ public:
void idle_loop();
void start_searching();
void wait_for_search_finished();
size_t id() const { return idx; }
Pawns::Table pawnsTable;
Material::Table materialTable;
@@ -72,7 +74,7 @@ public:
LowPlyHistory lowPlyHistory;
CapturePieceToHistory captureHistory;
ContinuationHistory continuationHistory[2][2];
Score contempt;
Score trend;
};
@@ -127,4 +129,6 @@ private:
extern ThreadPool Threads;
} // namespace Stockfish
#endif // #ifndef THREAD_H_INCLUDED
+9 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -31,6 +31,8 @@
#include <pthread.h>
namespace Stockfish {
static const size_t TH_STACK_SIZE = 8 * 1024 * 1024;
template <class T, class P = std::pair<T*, void(T::*)()>>
@@ -57,10 +59,16 @@ public:
void join() { pthread_join(thread, NULL); }
};
} // namespace Stockfish
#else // Default case: use STL classes
namespace Stockfish {
typedef std::thread NativeThread;
} // namespace Stockfish
#endif
#endif // #ifndef THREAD_WIN32_OSX_H_INCLUDED
+6 -2
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -24,6 +24,8 @@
#include "timeman.h"
#include "uci.h"
namespace Stockfish {
TimeManagement Time; // Our global time management object
@@ -75,7 +77,7 @@ void TimeManagement::init(Search::LimitsType& limits, Color us, int ply) {
// game time for the current move, so also cap to 20% of available game time.
if (limits.movestogo == 0)
{
optScale = std::min(0.008 + std::pow(ply + 3.0, 0.5) / 250.0,
optScale = std::min(0.0084 + std::pow(ply + 3.0, 0.5) * 0.0042,
0.2 * limits.time[us] / double(timeLeft));
maxScale = std::min(7.0, 4.0 + ply / 12.0);
}
@@ -95,3 +97,5 @@ void TimeManagement::init(Search::LimitsType& limits, Color us, int ply) {
if (Options["Ponder"])
optimumTime += optimumTime / 4;
}
} // namespace Stockfish
+5 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -23,6 +23,8 @@
#include "search.h"
#include "thread.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.
@@ -44,4 +46,6 @@ private:
extern TimeManagement Time;
} // namespace Stockfish
#endif // #ifndef TIMEMAN_H_INCLUDED
+17 -11
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -26,6 +26,8 @@
#include "tt.h"
#include "uci.h"
namespace Stockfish {
TranspositionTable TT; // Our global transposition table
/// TTEntry::save() populates the TTEntry with a new node's data, possibly
@@ -62,11 +64,12 @@ void TranspositionTable::resize(size_t mbSize) {
Threads.main()->wait_for_search_finished();
aligned_ttmem_free(mem);
aligned_large_pages_free(table);
clusterCount = mbSize * 1024 * 1024 / sizeof(Cluster);
table = static_cast<Cluster*>(aligned_ttmem_alloc(clusterCount * sizeof(Cluster), mem));
if (!mem)
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;
@@ -122,7 +125,7 @@ TTEntry* TranspositionTable::probe(const Key key, bool& found) const {
for (int i = 0; i < ClusterSize; ++i)
if (tte[i].key16 == key16 || !tte[i].depth8)
{
tte[i].genBound8 = uint8_t(generation8 | (tte[i].genBound8 & 0x7)); // Refresh
tte[i].genBound8 = uint8_t(generation8 | (tte[i].genBound8 & (GENERATION_DELTA - 1))); // Refresh
return found = (bool)tte[i].depth8, &tte[i];
}
@@ -131,11 +134,12 @@ TTEntry* TranspositionTable::probe(const Key key, bool& found) const {
TTEntry* replace = tte;
for (int i = 1; i < ClusterSize; ++i)
// Due to our packed storage format for generation and its cyclic
// nature we add 263 (256 is the modulus plus 7 to keep the unrelated
// lowest three bits from affecting the result) to calculate the entry
// age correctly even after generation8 overflows into the next cycle.
if ( replace->depth8 - ((263 + generation8 - replace->genBound8) & 0xF8)
> tte[i].depth8 - ((263 + generation8 - tte[i].genBound8) & 0xF8))
// 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;
@@ -150,7 +154,9 @@ 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 & 0xF8) == generation8;
cnt += table[i].entry[j].depth8 && (table[i].entry[j].genBound8 & GENERATION_MASK) == generation8;
return cnt / ClusterSize;
}
} // namespace Stockfish
+13 -4
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -22,6 +22,8 @@
#include "misc.h"
#include "types.h"
namespace Stockfish {
/// TTEntry struct is the 10 bytes transposition table entry, defined as below:
///
/// key 16 bit
@@ -72,9 +74,15 @@ class TranspositionTable {
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
public:
~TranspositionTable() { aligned_ttmem_free(mem); }
void new_search() { generation8 += 8; } // Lower 3 bits are used by PV flag and Bound
~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);
@@ -89,10 +97,11 @@ private:
size_t clusterCount;
Cluster* table;
void* mem;
uint8_t generation8; // Size must be not bigger than TTEntry::genBound8
};
extern TranspositionTable TT;
} // namespace Stockfish
#endif // #ifndef TT_H_INCLUDED
+8 -19
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -26,9 +26,10 @@
using std::string;
namespace Stockfish {
bool Tune::update_on_last;
const UCI::Option* LastOption = nullptr;
BoolConditions Conditions;
static std::map<std::string, int> TuneResults;
string Tune::next(string& names, bool pop) {
@@ -108,23 +109,7 @@ template<> void Tune::Entry<Score>::read_option() {
template<> void Tune::Entry<Tune::PostUpdate>::init_option() {}
template<> void Tune::Entry<Tune::PostUpdate>::read_option() { value(); }
// Set binary conditions according to a probability that depends
// on the corresponding parameter value.
void BoolConditions::set() {
static PRNG rng(now());
static bool startup = true; // To workaround fishtest bench
for (size_t i = 0; i < binary.size(); i++)
binary[i] = !startup && (values[i] + int(rng.rand<unsigned>() % variance) > threshold);
startup = false;
for (size_t i = 0; i < binary.size(); i++)
sync_cout << binary[i] << sync_endl;
}
} // namespace Stockfish
// Init options with tuning session results instead of default values. Useful to
@@ -138,7 +123,11 @@ void BoolConditions::set() {
#include <cmath>
namespace Stockfish {
void Tune::read_results() {
/* ...insert your values here... */
}
} // namespace Stockfish
+7 -37
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -24,6 +24,8 @@
#include <type_traits>
#include <vector>
namespace Stockfish {
typedef std::pair<int, int> Range; // Option's min-max values
typedef Range (RangeFun) (int);
@@ -44,27 +46,6 @@ struct SetRange {
#define SetDefaultRange SetRange(default_range)
/// BoolConditions struct is used to tune boolean conditions in the
/// code by toggling them on/off according to a probability that
/// depends on the value of a tuned integer parameter: for high
/// values of the parameter condition is always disabled, for low
/// values is always enabled, otherwise it is enabled with a given
/// probability that depnends on the parameter under tuning.
struct BoolConditions {
void init(size_t size) { values.resize(size, defaultValue), binary.resize(size, 0); }
void set();
std::vector<int> binary, values;
int defaultValue = 465, variance = 40, threshold = 500;
SetRange range = SetRange(0, 1000);
};
extern BoolConditions Conditions;
inline void set_conditions() { Conditions.set(); }
/// 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
@@ -130,9 +111,9 @@ class Tune {
SetRange range;
};
// Our facilty 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.
// 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; }
@@ -157,14 +138,6 @@ class Tune {
return add(value, (next(names), std::move(names)), args...);
}
// Template specialization for BoolConditions
template<typename... Args>
int add(const SetRange& range, std::string&& names, BoolConditions& cond, Args&&... args) {
for (size_t size = cond.values.size(), i = 0; i < size; i++)
add(cond.range, next(names, i == size - 1) + "_" + std::to_string(i), cond.values[i]);
return add(range, std::move(names), args...);
}
std::vector<std::unique_ptr<EntryBase>> list;
public:
@@ -185,9 +158,6 @@ public:
#define UPDATE_ON_LAST() bool UNIQUE(p, __LINE__) = Tune::update_on_last = true
// Some macro to tune toggling of boolean conditions
#define CONDITION(x) (Conditions.binary[__COUNTER__] || (x))
#define TUNE_CONDITIONS() int UNIQUE(c, __LINE__) = (Conditions.init(__COUNTER__), 0); \
TUNE(Conditions, set_conditions)
} // namespace Stockfish
#endif // #ifndef TUNE_H_INCLUDED
+15 -6
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -57,6 +57,12 @@
/// _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
#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
@@ -77,6 +83,8 @@
# define pext(b, m) 0
#endif
namespace Stockfish {
#ifdef USE_POPCNT
constexpr bool HasPopCnt = true;
#else
@@ -107,7 +115,7 @@ constexpr int MAX_PLY = 246;
/// 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
/// 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
@@ -121,7 +129,7 @@ enum Move : int {
enum MoveType {
NORMAL,
PROMOTION = 1 << 14,
ENPASSANT = 2 << 14,
EN_PASSANT = 2 << 14,
CASTLING = 3 << 14
};
@@ -183,7 +191,6 @@ enum Value : int {
BishopValueMg = 825, BishopValueEg = 915,
RookValueMg = 1276, RookValueEg = 1380,
QueenValueMg = 2538, QueenValueEg = 2682,
Tempo = 28,
MidgameLimit = 15258, EndgameLimit = 3915
};
@@ -196,8 +203,8 @@ enum PieceType {
enum Piece {
NO_PIECE,
W_PAWN = 1, W_KNIGHT, W_BISHOP, W_ROOK, W_QUEEN, W_KING,
B_PAWN = 9, B_KNIGHT, B_BISHOP, B_ROOK, B_QUEEN, B_KING,
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
};
@@ -476,6 +483,8 @@ constexpr Key make_key(uint64_t seed) {
return seed * 6364136223846793005ULL + 1442695040888963407ULL;
}
} // namespace Stockfish
#endif // #ifndef TYPES_H_INCLUDED
#include "tune.h" // Global visibility to tuning setup
+19 -7
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -34,6 +34,8 @@
using namespace std;
namespace Stockfish {
extern vector<string> setup_bench(const Position&, istream&);
namespace {
@@ -85,7 +87,7 @@ namespace {
Position p;
p.set(pos.fen(), Options["UCI_Chess960"], &states->back(), Threads.main());
Eval::verify_NNUE();
Eval::NNUE::verify();
sync_cout << "\n" << Eval::trace(p) << sync_endl;
}
@@ -170,7 +172,7 @@ namespace {
if (token == "go" || token == "eval")
{
cerr << "\nPosition: " << cnt++ << '/' << num << endl;
cerr << "\nPosition: " << cnt++ << '/' << num << " (" << pos.fen() << ")" << endl;
if (token == "go")
{
go(pos, is, states);
@@ -205,13 +207,13 @@ namespace {
// Coefficients of a 3rd order polynomial fit based on fishtest data
// for two parameters needed to transform eval to the argument of a
// logistic function.
double as[] = {-8.24404295, 64.23892342, -95.73056462, 153.86478679};
double bs[] = {-3.37154371, 28.44489198, -56.67657741, 72.05858751};
double as[] = {-3.68389304, 30.07065921, -60.52878723, 149.53378557};
double bs[] = {-2.0181857, 15.85685038, -29.83452023, 47.59078827};
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 eval to centipawns with limited range
double x = std::clamp(double(100 * v) / PawnValueEg, -1000.0, 1000.0);
double x = std::clamp(double(100 * v) / PawnValueEg, -2000.0, 2000.0);
// Return win rate in per mille (rounded to nearest)
return int(0.5 + 1000 / (1 + std::exp((a - x) / b)));
@@ -275,7 +277,15 @@ void UCI::loop(int argc, char* argv[]) {
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
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.empty() && token[0] != '#')
sync_cout << "Unknown command: " << cmd << sync_endl;
} while (token != "quit" && argc == 1); // Command line args are one-shot
@@ -369,3 +379,5 @@ Move UCI::to_move(const Position& pos, string& str) {
return MOVE_NONE;
}
} // namespace Stockfish
+5 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -24,6 +24,8 @@
#include "types.h"
namespace Stockfish {
class Position;
namespace UCI {
@@ -78,4 +80,6 @@ Move to_move(const Position& pos, std::string& str);
extern UCI::OptionsMap Options;
} // namespace Stockfish
#endif // #ifndef UCI_H_INCLUDED
+7 -5
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2020 The Stockfish developers (see AUTHORS file)
Copyright (C) 2004-2021 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
@@ -31,6 +31,8 @@
using std::string;
namespace Stockfish {
UCI::OptionsMap Options; // Global object
namespace UCI {
@@ -41,8 +43,8 @@ void on_hash_size(const Option& o) { TT.resize(size_t(o)); }
void on_logger(const Option& o) { start_logger(o); }
void on_threads(const Option& o) { Threads.set(size_t(o)); }
void on_tb_path(const Option& o) { Tablebases::init(o); }
void on_use_NNUE(const Option& ) { Eval::init_NNUE(); }
void on_eval_file(const Option& ) { Eval::init_NNUE(); }
void on_use_NNUE(const Option& ) { Eval::NNUE::init(); }
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 {
@@ -59,8 +61,6 @@ void init(OptionsMap& o) {
constexpr int MaxHashMB = Is64Bit ? 33554432 : 2048;
o["Debug Log File"] << Option("", on_logger);
o["Contempt"] << Option(24, -100, 100);
o["Analysis Contempt"] << Option("Both var Off var White var Black var Both", "Both");
o["Threads"] << Option(1, 1, 512, on_threads);
o["Hash"] << Option(16, 1, MaxHashMB, on_hash_size);
o["Clear Hash"] << Option(on_clear_hash);
@@ -190,3 +190,5 @@ Option& Option::operator=(const string& v) {
}
} // namespace UCI
} // namespace Stockfish
+12 -12
View File
@@ -13,14 +13,14 @@ case $1 in
--valgrind)
echo "valgrind testing started"
prefix=''
exeprefix='valgrind --error-exitcode=42'
exeprefix='valgrind --error-exitcode=42 --errors-for-leak-kinds=all --leak-check=full'
postfix='1>/dev/null'
threads="1"
;;
--valgrind-thread)
echo "valgrind-thread testing started"
prefix=''
exeprefix='valgrind --error-exitcode=42'
exeprefix='valgrind --fair-sched=try --error-exitcode=42'
postfix='1>/dev/null'
threads="2"
;;
@@ -39,16 +39,16 @@ case $1 in
threads="2"
cat << EOF > tsan.supp
race:TTEntry::move
race:TTEntry::depth
race:TTEntry::bound
race:TTEntry::save
race:TTEntry::value
race:TTEntry::eval
race:TTEntry::is_pv
race:Stockfish::TTEntry::move
race:Stockfish::TTEntry::depth
race:Stockfish::TTEntry::bound
race:Stockfish::TTEntry::save
race:Stockfish::TTEntry::value
race:Stockfish::TTEntry::eval
race:Stockfish::TTEntry::is_pv
race:TranspositionTable::probe
race:TranspositionTable::hashfull
race:Stockfish::TranspositionTable::probe
race:Stockfish::TranspositionTable::hashfull
EOF
@@ -98,7 +98,7 @@ cat << EOF > game.exp
expect "bestmove"
send "position fen 5rk1/1K4p1/8/8/3B4/8/8/8 b - - 0 1\n"
send "go depth 20\n"
send "go depth 10\n"
expect "bestmove"
send "quit\n"