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211 Commits

Author SHA1 Message Date
Daylen Yang 81490ebc75 Enable NEON for armv8 2020-08-05 10:45:17 -07:00
Dominik Schlösser c402fe7d26 apple silicon platform with NEON
USE_NEON instead of IS_ARM
New platform apple-silicon with default USE_NEON
nnue_common.h includes arm_neon.h for USE_NEON
2020-08-05 16:45:07 +02:00
Joost VandeVondele 2b8bb8e226 Revert stray functional part of 6e2236c37a 2020-08-05 07:46:45 +02:00
Joost VandeVondele 8a3df0f92f Add and adjust copyright headers/authors.
Add missing copyright headers, and refer to the AUTHORS file for copyright owners.

Refer to 'The Stockfish developers (see AUTHORS file)' for authors.
2020-08-05 07:29:12 +02:00
Joost VandeVondele 6e2236c37a Makefile: small follow-up for comp=msys2 removal 2020-08-05 07:20:23 +02:00
Joost VandeVondele d8d1ecca8c Fixes Makefile issues, #2870 2020-08-04 22:25:01 +02:00
Joost VandeVondele bb9c6bc6a1 Update default net to nn-97f742aaefcd.nnue
uploaded by Sergio Vieri

NNUE signature: 4254913
Bench: 4746616
2020-08-04 08:12:43 +02:00
Joost VandeVondele 97724370e7 Merge branch 'master' into nnue-player-wip
Bench: 4746616
2020-08-04 08:03:52 +02:00
Joost VandeVondele b16db14c87 Merge branch 'netDownloadMakefile' into nnue-player-wip 2020-08-03 20:14:52 +02:00
Joost VandeVondele 2c51afdb14 A new make target to download the default net
```
make net
```

will download the default net as specified in ucioption.cpp file.

This target assumes that `curl` or `wget` is available (in addition to grep and sed).

Needs some testing on different systems (windows, mac, etc.) to see if the implementation is portable enough.

Note that this is not part executed as part of a `make build` to make sure that a build doesn't need a network connection.
2020-08-03 14:28:54 +02:00
Joost VandeVondele 1d01b275ce Small Makefile doc fix 2020-08-03 07:23:11 +02:00
Joost VandeVondele dbbb3fa477 Add info string showing which evaluation is in use 2020-08-02 17:22:19 +02:00
Joost VandeVondele 18686e29c7 Revisit NNUE initialization
this revisits the initialization of NNUE, basically only changing
the state on the UCI options 'Use NNUE' and 'EvalFile' calling init_NNUE(),
which sets the Eval::useNNUE variable, and loads the network if needed
(i.e. useNNUE is true and the same network is not yet loaded)

init_NNUE is silent (i.e. no info strings), so that it can be called at startup
without confusing certain GUIs.

An error message on wrong setting when asking for (i.e. the net failed to load),
is delayed to the point where everything must be consistent (start of search or eval).
The engine will stop if the settings are wrong at that point.

Also works if the default value of Use NNUE would become true.
2020-08-02 17:22:19 +02:00
Joost VandeVondele e45d4f1b65 Small whitespace changes 2020-08-02 16:30:00 +02:00
Joost VandeVondele f4ecc899d8 Minimal whitespace changes 2020-08-01 22:43:14 +02:00
Dariusz Orzechowski 122c78b521 [NNUE] More cleanup in nnue folder
No functional change.
2020-08-01 22:24:26 +02:00
Joost VandeVondele aa339506db Small target adjustments 2020-08-01 19:19:10 +02:00
Dariusz Orzechowski 292c9efb1d [NNUE] Remove not used network architecture
No functional change.
2020-08-01 17:31:20 +02:00
Joost VandeVondele 9f2f46c212 [NNUE] adjust Makefile targets
clearly differentiate between sse3 and ssse3.
assume popcnt from sse4.
2020-08-01 17:30:29 +02:00
Joost VandeVondele 61ab908db3 Some coding style changes, white space 2020-08-01 09:25:00 +02:00
Joost VandeVondele 6cd70676b4 Update README.md
Mostly restores the previous README.md with some info and new UCI options, retaining only the info needed for the player.
The valuable training documentation is best preserved elsewhere.

Comments / fixes welcome.
2020-08-01 08:27:59 +02:00
Joost VandeVondele 56c9b608c9 Remove unused variable 2020-08-01 08:18:35 +02:00
Joost VandeVondele dbab8b03cf Recreate Position object for eval
takes the current option settings into account.

Fixes #2859
Fixes #2579
2020-07-31 19:16:38 +02:00
Joost VandeVondele 8e28c99f79 Use a global instead of a variable in pos 2020-07-31 15:58:33 +02:00
Joost VandeVondele e42258db5a Merge branch 'nnue-notemplate2' of https://github.com/dorzechowski/Stockfish into dorzechowski-nnue-notemplate2 2020-07-31 12:19:26 +02:00
Dariusz Orzechowski 69fa1111e6 [NNUE] StateInfo handling speed improvement
Don't copy NNUE parts of StateInfo when not needed in do_null_move().
Measurement vs master at STC shows only ~3 Elo regression when NNUE
is not used, was ~5 Elo before.

https://tests.stockfishchess.org/tests/view/5f23a9052f7e63962b99f51b
ELO: -3.02 +-1.7 (95%) LOS: 0.0%
Total: 60000 W: 11145 L: 11666 D: 37189
Ptnml(0-2): 1018, 6945, 14494, 6626, 917

No functional change.
2020-07-31 11:58:13 +02:00
Dariusz Orzechowski ffae13edff Remove some code unused in the current network architecture
No functional change.
2020-07-30 05:05:27 +02:00
mstembera 21d43e9500 Remove some unnecessary declarations and headers.
bench: 4578298
2020-07-28 20:08:10 -07:00
NguyenPham 5c616bc46b Change data file extension of nnue networks
move from .bin (used for polyglot books etc) to .nnue
2020-07-28 14:02:35 +02:00
Joost VandeVondele 2f459fb161 Add authors to the AUTHORS file
add missing contributors based on git commit history
2020-07-28 10:27:07 +02:00
Joost VandeVondele c8f7fa6a02 [NNUE] update compiler info with flags
as several new flags are added document compilation specifics under the compiler command.

No functional change.
2020-07-28 09:28:10 +02:00
Dariusz Orzechowski 7bb14c2489 Clamp NNUE evaluation score
No functional change.
2020-07-28 04:30:47 +02:00
Joost VandeVondele 6349062d42 [NNUE] remove evalnn command
instead eval uses the evaluation according to the state of Use NNUE

No functional change.
2020-07-27 20:14:25 +02:00
erbsenzaehler 7182c55e5c Update appveyor to use MSVC 2019 2020-07-27 13:09:48 +02:00
Joost VandeVondele b536b0ac67 [NNUE] init networks also for cmdline use
`./stockfish go depth 10`

now works if `Use NNUE` defaults to true.

No functional change
2020-07-27 09:43:19 +02:00
mstembera 60497a85d6 Fix a crash on Use NNUE default true
This was because the UCI::use_nnue variable was never updated to true.

closes https://github.com/official-stockfish/Stockfish/pull/2843

bench: 4578298
NNUE: 3377227
2020-07-27 07:17:41 +02:00
Joost VandeVondele a8bdf69c71 Use _mm_malloc on _WIN32 2020-07-26 22:22:36 +02:00
Joost VandeVondele a6c614da03 Include header if _MSC_VER 2020-07-26 20:44:47 +02:00
Joost VandeVondele 98ffe0cd97 [NNUE] Wrap aligned_alloc
For some systems std::aligned_alloc is not available even if c++17 is specified.
Wrap the function and use specific solutions.

Update macosx-version-min to the required minimum.

No functional change.
2020-07-26 20:32:00 +02:00
Joost VandeVondele 2b0ba70436 [NNUE] update travis CI to use new toolchain
No functional change.
2020-07-26 18:03:54 +02:00
Joost VandeVondele 27b87ddf5d [NNUE] use_nue=false for getting the material key
No functional change.
2020-07-26 14:57:38 +02:00
Joost VandeVondele 319b8e8e7b Fix unused variable warning
for certain targets. Only define variable when needed.

No functional change.
2020-07-26 14:57:38 +02:00
Joost VandeVondele 44461911f7 [NNUE] Add C++17 to appveyor
update CMakeList.txt to add required C++ standard version.

Fix signature.

the code is up-to-date with master d89730d5c8 adjust signature

Bench: 4578298
2020-07-26 14:57:29 +02:00
Dariusz Orzechowski a285850bf6 Fix valgrind issue
No functional change.
2020-07-26 08:52:22 +02:00
Dariusz Orzechowski cae61bbb65 Fix memset/memcpy warnings
No functional change.
2020-07-26 08:52:22 +02:00
Joost VandeVondele ab09c74783 Revert "[NNUE] Update travis clang on linux."
This reverts commit e3367756b5.
2020-07-25 19:48:20 +02:00
Joost VandeVondele e3367756b5 [NNUE] Update travis clang on linux.
move from 6.0 to 7.0 (minimum version for std::aligned_alloc)
2020-07-25 19:13:59 +02:00
Joost VandeVondele 49d2cd8b13 [NNUE] update x86-64-modern target
slightly increase requirements on modern from sse3 to ssse3.
2020-07-25 17:23:07 +02:00
Dariusz Orzechowski beb956f823 NNUE: Fix debug build
No functional change
2020-07-25 17:22:25 +02:00
Joost VandeVondele faf08671ff [NNUE] default net
change default net to nn-c157e0a5755b.bin as available in https://github.com/official-stockfish/networks
2020-07-25 12:45:19 +02:00
Dariusz Orzechowski 458a920788 Fix makefile option x86-64-modern 2020-07-20 13:53:21 +02:00
Dariusz Orzechowski 871e6b8c83 Merge latest changes from nodchip repo 2020-07-20 13:19:25 +02:00
Dariusz Orzechowski 76d8f6128a Fix popcnt option in makefile 2020-07-20 11:39:52 +02:00
nodchip c0e1235fef Added a description to Makefile. 2020-07-20 17:36:09 +09:00
No name 74049a450c Add NNUE targets to the output of 'make help' 2020-07-20 17:29:20 +09:00
nodchip fbdb373b64 Changed to set the binary directory to the current working directory. 2020-07-20 17:17:50 +09:00
Dariusz Orzechowski c0bbce092b Restore ARCH=x86-64-modern in the makefile 2020-07-20 09:59:40 +02:00
Dariusz Orzechowski cf8a50e654 Don't use NNUE by default - changed for an attempt on fishtest 2020-07-20 08:39:21 +02:00
Dariusz Orzechowski 675672cfc1 Use std::aligned_alloc 2020-07-20 06:20:31 +02:00
Dariusz Orzechowski 4cceeb7380 Remove code unneeded for playing, refactor, update to latest master dev 2020-07-20 05:45:24 +02:00
mstembera 77018c77cc Fix profile builds for AVX512. 2020-07-19 21:25:50 +09:00
No name fd78fb05f6 Hide NNUE options if building without NNUE support
Also remove an unused option.
2020-07-19 20:17:01 +09:00
nodchip afd7d0ea4d Fixed a bug that Makefile specifies -mpopcnt for armv8-a. 2020-07-19 18:34:35 +09:00
nodchip 36092b855a Removed the x86-64-ssse3-popcnt architecture. 2020-07-19 14:17:35 +09:00
nodchip 3bbe4802b1 Removed the sse41-popcnt architecture. 2020-07-19 14:02:49 +09:00
nodchip c001a4e62d Revert "Removed x86-64-ssse3-popcnt and x86-64-sse41-popcnt."
This reverts commit 92c2167481.
2020-07-19 13:58:19 +09:00
No name 1536e31065 Load the parameter set on an `isready' as well
Unbreaks Scid vs. PC, which doesn't send `ucinewgame'.
2020-07-19 13:22:40 +09:00
nodchip 92c2167481 Removed x86-64-ssse3-popcnt and x86-64-sse41-popcnt. 2020-07-19 12:52:20 +09:00
nodchip a4786db4c2 Added support for architectures which supports SSE3+POPCNT, SSSE3+POPCNT and SSE41+POPCNT. 2020-07-19 12:41:50 +09:00
nodchip c24ad8d8b5 Supported sse3 build. 2020-07-19 12:26:37 +09:00
mstembera 961a4dad5c Add AVX512 support.
bench: 3909820
2020-07-19 12:07:28 +09:00
nodchip 7a13d4ed60 Changed the default eval file path so that more GUIs can use Stockfish NNUE. 2020-07-17 15:40:01 +09:00
xXH4CKST3RXx 4d4c80d7fd Update README.md
Added logo, reinforcement learning instructions, and resources list.
2020-07-17 12:40:47 +09:00
nodchip 2b821682aa Update README.md 2020-07-17 11:55:30 +09:00
xXH4CKST3RXx be754a2379 Update README.md 2020-07-16 13:21:14 +09:00
xXH4CKST3RXx ec5ef2b6df Update README.md 2020-07-16 13:21:14 +09:00
xXH4CKST3RXx df4da8dc41 Update README.md 2020-07-16 13:21:14 +09:00
xXH4CKST3RXx 6118151c66 Create README.md
Added and cleaned up Gekkehenker's training guide.
2020-07-16 13:21:14 +09:00
xXH4CKST3RXx 2fd1c48e60 Rename Readme.md to stockfish.md 2020-07-16 13:21:14 +09:00
No name 961047ed6e Experimental support for PGO builds of NNUE
Only 'nnue' target and only gcc/mingw.
(does not clean profile data generated by other compilers)
To use:
 make profile-nnue ARCH=arch
(see 'make help' for list of supported archs)
2020-07-16 08:53:03 +09:00
J. Oster e29499ee4b Use the path and filename for restoring parameter files. 2020-07-15 19:29:29 +09:00
nodchip 7f4b72cdfd Merge branch 'master' of github.com:nodchip/Stockfish 2020-07-13 22:25:56 +09:00
nodchip 686a5a0df9 Fixed a bug that gensfen command does not accept the use_draw_in_training_data_generation option. 2020-07-13 22:25:23 +09:00
Anson Hu df40de9486 game result bugfix 2020-07-12 15:56:03 +09:00
No name fcb391919f Disable EVAL_HASH for 'nnue' target
Gives a 7% speed gain for me, without any parameter set loaded
(all-zero).
2020-07-11 19:29:05 +09:00
nodchip ae4db5ebfd Merge pull request #45 from joergoster/sf-nnue-update
Sf nnue update
2020-07-11 19:17:38 +09:00
joergoster db0615eed9 Merge branch 'master' into sf-nnue-update 2020-07-11 12:03:17 +02:00
zz4032 d6e8089f50 Saving new network in correct path. 2020-07-11 17:46:43 +09:00
zz4032 b521e405d3 Default network path in Linux. 2020-07-11 00:07:15 +09:00
nodchip d7c358cf19 Fixed descriptions and sanity checks in Makefile. 2020-07-10 16:55:32 +09:00
nodchip bc6a8d09e9 Unified the nnue-learn and nnue-learn-use-blas targets into nnue-learn. 2020-07-10 16:17:35 +09:00
nodchip df05ecb1d5 Added halfkp_384x2-32-32. 2020-07-10 16:14:19 +09:00
nodchip 1de1eb2d0d Refactoring: Restructured the architecture list in Makefile. 2020-07-10 16:13:21 +09:00
No name 081761d084 Add support for SSSE3-only compiles
For Core 2 Duo.

To compile:
make ARCH=x86-64 ssse3=yes nnue

No observable difference in speed to SSE4.1 on my machine.
2020-07-10 15:21:50 +09:00
No name b9a32fe331 Define USE_SSE2 for any x86-64 target
Rather than only when popcnt=yes
x86-64 instruction set includes SSE2.
2020-07-10 14:56:33 +09:00
tttak a06234c639 enable convert_plain
learn convert_plain output_file_name xxx.txt xxx.bin
2020-07-09 09:51:00 +09:00
FireFather df9b2a87db Update misc.cpp
change name to Stockfish+NNUE
and add 3 more authors
2020-07-08 23:20:36 +09:00
FireFather 821aaf3836 Update misc.cpp
do not clutter console window
remove "Windows large pages not used."
only show message when/if successful
2020-07-08 23:20:36 +09:00
nodchip 272f0f88c3 Merge pull request #40 from FireFather/master
Update evaluate_nnue_learner.cpp
2020-07-08 20:52:39 +09:00
FireFather 76d124ed70 Update evaluate_nnue_learner.cpp
replace NNUE::kFileName with NNUE::fileName
2020-07-08 13:42:28 +02:00
FireFather ec3eaad64f update evaluate_nnue.cpp
rename kFileName and change to std:string
2020-07-08 11:59:18 +09:00
FireFather f7420652b7 UCI option EvalFile
Replace EvalDir with EvalFile
Can now browse filesystem for net (eval\nn.bin is default)
nn.bin no longer hard-coded
2020-07-08 11:59:18 +09:00
FireFather d1760a1f15 update evaluate_nnue.cpp
rename kFileName and change to std:string
2020-07-08 04:23:50 +02:00
FireFather c59583bbf0 UCI option EvalFile
Replace EvalDir with EvalFile
Can now browse filesystem for net (eval\nn.bin is default)
nn.bin no longer hard-coded
2020-07-07 23:25:20 +02:00
FireFather d61378cacb Merge pull request #1 from nodchip/master
Merge
2020-07-07 13:06:40 +02:00
joergoster cd55c268cb Bugfix.
Otherwise creating a new net fails.
2020-07-07 18:51:22 +09:00
joergoster a5af8510a5 Rework loading the net. 2020-07-07 15:13:59 +09:00
nodchip 288fdc5597 Added "nodes" option to the "gensfen" command to specify the number of the nodes to be searched. 2020-07-06 17:38:43 +09:00
nodchip 85c802d0b9 Revert "use winning_percentage_wdl in learn"
This reverts commit c964e902c5.

# Conflicts:
#	src/uci.cpp
2020-07-06 11:07:46 +09:00
nodchip 3b535b5ade Merge pull request #36 from tttak/WDL_20200703b
use winning_percentage_wdl in learn
2020-07-04 07:36:33 +09:00
nodchip cea5240909 Merge branch 'master' into WDL_20200703b 2020-07-04 07:36:16 +09:00
tttak 5dec3e547e merge "Provide WDL statistics"
https://github.com/official-stockfish/Stockfish/commit/110068808b51344ac59f8c6a0846f5dfdf670392
https://github.com/official-stockfish/Stockfish/pull/2778
https://github.com/official-stockfish/Stockfish/pull/2788
2020-07-04 07:35:15 +09:00
tttak c964e902c5 use winning_percentage_wdl in learn 2020-07-03 23:21:49 +09:00
tttak 9ce0ef3ac0 merge "Provide WDL statistics"
https://github.com/official-stockfish/Stockfish/commit/110068808b51344ac59f8c6a0846f5dfdf670392
https://github.com/official-stockfish/Stockfish/pull/2778
https://github.com/official-stockfish/Stockfish/pull/2788
2020-07-03 23:01:37 +09:00
FireFather 9c19021808 update translation
1 line src\eval\nnue\features\half_kp.cpp
1 line src\movegen.h
2020-07-03 09:24:15 +09:00
FireFather c679e8f360 Update search.h
1 line of translation
2020-07-03 09:24:15 +09:00
joergoster 13824d8b96 Explicitly specify SSE41. 2020-07-02 16:15:39 +09:00
joergoster 145e4c2a10 Add SSE41 switch.
This allows building modern compiles with SSE41 enabled,
which gives a nice speedup on my Bulldozer CPU.

For example:
make nnue ARCH=x86-64-modern sse41=yes -j
2020-07-02 16:15:39 +09:00
nodchip c8262f8aec Fixed a compile error. 2020-06-30 15:58:51 +09:00
tttak 486f72af54 バグ修正(learn convert_bin_from_pgn-extract) 2020-06-30 14:01:04 +09:00
tttak fda3945c07 learn convert_bin_from_pgn-extractコマンドを追加
http://rebel13.nl/download/data.html
Download Selected Lichess games
pgn-extract --fencomments -Wlalg --nochecks --nomovenumbers --noresults -w500000 -N -V -o comp-2019-06.txt comp-2019-06.pgn
stockfish.exe
learn convert_bin_from_pgn-extract pgn_eval_side_to_move 0 output_file_name fens_comp-2019-06.bin comp-2019-06.txt

https://github.com/glinscott/fishtest/wiki/PGN-files-of-games-played-on-fishtest
pgn-extract --fencomments -Wlalg --nochecks --nomovenumbers --noresults -w500000 -N -V -o fishtest.txt fishtest.pgn
stockfish.exe
learn convert_bin_from_pgn-extract pgn_eval_side_to_move 1 output_file_name fens_fishtest.bin fishtest.txt
2020-06-30 14:01:04 +09:00
FireFather 8f31d74cf6 More comment translation
including 11 files in /src
2020-06-30 00:45:32 +09:00
FireFather f5cc77bc7c EOL
add eol at eof
2020-06-29 08:27:41 +09:00
nodchip 9dc62809c8 Merge pull request #24 from FireFather/master
Comment translation
2020-06-28 11:43:53 +09:00
nodchip 123dd68452 Merge branch 'master' into master 2020-06-28 11:42:23 +09:00
nodchip f1a8580118 Merge branch 'master' of github.com:nodchip/Stockfish 2020-06-28 11:37:42 +09:00
nodchip 87c8b324f8 Simplified source code to estimate the winning ratio from an eval value.
We need to adjust the eta again after this commit is pushed.
2020-06-28 11:37:15 +09:00
nodchip 6324c2de75 Merge pull request #23 from joergoster/linux_sse41
Linux sse41
2020-06-28 10:29:14 +09:00
FireFather aea08de018 Translation
Files in /eval, /extra, & /learn - comments translated from Japanese to English
2020-06-28 03:12:55 +02:00
FireFather 2f8c692caa Merge pull request #2 from nodchip/master
merge
2020-06-28 01:37:01 +02:00
joergoster 96f2541191 Fix compilation under Linux with -DUSE_SSE41. 2020-06-27 19:41:13 +02:00
nodchip cb8accada2 Merge branch 'master' of github.com:nodchip/Stockfish 2020-06-27 22:19:33 +09:00
nodchip 13eb540020 Changed the formula to calculate winning ratio to 1/(1+10^(-Eval/4)). 2020-06-27 22:19:22 +09:00
joergoster 32c204fb56 Merge branch 'master' into sf-nnue-nodchip 2020-06-27 10:57:09 +02:00
tttak e229015127 learn convert_bin_from_pgn-extractコマンドを追加
http://rebel13.nl/download/data.html
Download Selected Lichess games
pgn-extract --fencomments -Wlalg --nochecks --nomovenumbers --noresults -w500000 -N -V -o comp-2019-06.txt comp-2019-06.pgn
stockfish.exe
setoption name SkipLoadingEval value true
isready
learn convert_bin_from_pgn-extract output_file_name fens_comp-2019-06.bin comp-2019-06.txt
2020-06-27 16:33:36 +09:00
nodchip aa2dc962f5 Added use_draw_in_training_data_generation option to write out draw games to the training data. 2020-06-27 14:00:12 +09:00
rqs 4c926b8eb4 add pgn_to_plain 2020-06-27 13:17:54 +09:00
rqs 0761d9504e add convert_bin and option for draw positions 2020-06-27 13:17:54 +09:00
joergoster 2af46deede Fix include. 2020-06-26 09:12:24 +09:00
joergoster a5fb69008c Bugfix. No legal move is either mate or stalemate. 2020-06-26 09:12:24 +09:00
nodchip 1c8a931309 Merge pull request #18 from joergoster/sf-nnue-nodchip
Update to SF master
2020-06-25 23:09:45 +09:00
joergoster 151a0dda91 Merge branch 'master' into sf-nnue-nodchip 2020-06-25 15:10:12 +02:00
FireFather 8c8a30233c Update evaluate_nnue.cpp 2020-06-25 12:41:32 +09:00
FireFather 86e3fedf7e Update evaluate_nnue.cpp 2020-06-25 04:38:39 +02:00
FireFather 7a3c3eacdf added header guards
5 include files in \eval\nnue\architectures
2020-06-25 10:39:29 +09:00
nodchip ff31d92b94 Merge pull request #14 from joergoster/sf-nnue-nodchip
Update to SF master
2020-06-25 10:38:16 +09:00
FireFather 08d8adbade added header guards
5 include files in \eval\nnue\architectures
2020-06-24 22:41:00 +02:00
joergoster 5e119f5139 Finally. 2020-06-24 20:22:56 +02:00
joergoster 0e932757e5 Re-enable increment operator for Piece.
No functional change.
2020-06-24 20:18:32 +02:00
joergoster 8ef6c837b7 Fix.
Bench: 4471740
2020-06-24 18:04:28 +02:00
joergoster 89bbe86800 Merge branch 'master' of https://github.com/nodchip/Stockfish into sf-nnue-nodchip 2020-06-24 17:47:55 +02:00
nodchip 7818d23afb Merge pull request #13 from zz4032/linux-identifier
Linux identifier corrected.
2020-06-24 09:35:44 +09:00
nodchip 0abd692543 Fixed a build error on Visual Studio. 2020-06-24 09:33:46 +09:00
zz4032 5ae64e2244 Adding mm_malloc.h
Otherwise compiling with 'modern' or 'avx2' architecture on Linux aborts with errors.
2020-06-24 09:28:45 +09:00
zz4032 5aa801e721 Update misc.h 2020-06-23 20:54:50 +02:00
zz4032 3102896a00 Linux identifier corrected. 2020-06-23 20:53:32 +02:00
zz4032 ccd2e602a0 Adding mm_malloc.h
Otherwise compiling with 'modern' or 'avx2' architecture on Linux aborts with errors.
2020-06-23 19:55:54 +02:00
nodchip 999f5ec446 COMP=msys2を指定できるようにした 2020-06-24 00:47:34 +09:00
nodchip 43e78187d7 ARCH=x86-64-avx2を指定できるようにした 2020-06-24 00:27:45 +09:00
nodchip 76b0de40a1 コンパイラーオプションを-std=c++14から-std=c++17に変更した 2020-06-23 23:47:59 +09:00
nodchip c7884470fb Merge branch 'master' of github.com:nodchip/Stockfish 2020-06-22 10:28:02 +09:00
nodchip 6c7a594362 Added "-Wl,-s" option. 2020-06-22 10:27:52 +09:00
tttak 2d5c50d85b eval_nnueコマンド追加 2020-06-22 09:50:22 +09:00
nodchip 33772a0418 コンパイルエラーを修正した 2020-06-08 23:46:06 +09:00
nodchip 5c936572e9 Merge branch 'master' of github.com:official-stockfish/Stockfish
# Conflicts:
#	src/Makefile
#	src/position.cpp
#	src/position.h
#	src/search.cpp
#	src/types.h
#	src/uci.cpp
2020-06-08 23:09:51 +09:00
tttak 91a7557ab4 test nnue test_features等の有効化 2020-06-08 15:07:48 +09:00
nodchip d23f96d156 No pruning at low plies.
This makes those very early depths a bit more reliable.

Thanks, joergoster!

https://github.com/joergoster/Stockfish-NNUE/commit/be7f37187b85b8093ae0741909cbfd7b2bc76871
2020-06-06 18:50:15 +09:00
nodchip 2523f72ff9 盤上から取り除かれた駒に関する差分計算を省き、高速化した 2020-06-03 23:32:08 +09:00
nodchip a85e3055f4 いくつかのターゲットでOpenMPを有効にした 2020-06-02 00:13:35 +09:00
tttak 78134b7641 OpenMPの有効化 2020-06-01 23:51:05 +09:00
nodchip 6703ec8ab0 nnue-gen-sfen-from-original-evalターゲットを追加した 2020-05-30 09:50:29 +09:00
nodchip dd9818c2c1 Added "-static" compiler option. 2020-05-29 09:36:24 +09:00
nodchip f18acf97ed Added the "nnue" target.
Fixed build errors on the "nnue-learn-use-blas" target.
2020-05-28 10:08:51 +09:00
Hisayori Noda e2165155d1 Enabled halfkp_256x2-32-32.h. 2019-07-11 22:47:55 +09:00
Hisayori Noda 1d5f79db1c Merge branch 'master' of github.com:nodchip/Stockfish into k-p_256x2-32-32 2019-07-10 08:18:57 +09:00
tttak c4d30f3649 set_from_packed_sfen()でmirrorをepSquareにも適用するように修正 2019-07-10 08:16:38 +09:00
Hisayori Noda 2d70487caa Enabled k-p_256x2-32-32. 2019-07-08 19:02:09 +09:00
tttak 0be41dbb67 nullmoveとpromotionの場合に評価値の差分計算と全計算の結果が異なっていたのを修正 2019-07-08 18:51:08 +09:00
HiraokaTakuya c643ee0b45 Fix a compile error. 2019-07-08 18:49:47 +09:00
HiraokaTakuya 10aa774d08 Fix a compile error. 2019-07-08 18:49:47 +09:00
HiraokaTakuya 8718438943 std::conditional_t can be used from C++14. 2019-07-08 18:49:47 +09:00
HiraokaTakuya fc5f64b383 Add targets nnue-learn, nnue-learn-use-blas 2019-07-08 18:49:47 +09:00
tttak 3dcd2bb69b Makefileのobjclean:に「./eval/nnue/*.o」等を追加 2019-07-08 18:46:24 +09:00
Hisayori Noda b300a9d43e Enabled halfkp_256x2-32-32. 2019-07-07 21:44:02 +09:00
Hisayori Noda 747d98bf1b Added halfkp-cr-ep_256x2-32-32 architecture. 2019-07-07 20:31:54 +09:00
Hisayori Noda df827ea7ee Added enpassant feature. Added k-p-cr-ep_256x2-32-32 architecture. 2019-07-07 19:24:46 +09:00
Hisayori Noda 92052bc16b Fixed build errors. 2019-07-07 17:22:07 +09:00
Hisayori Noda 5c0037de7f Added the castling right feature. Added k-p-cr_256x2-32-32 architecture. 2019-07-07 17:02:34 +09:00
Hisayori Noda 09e529edd3 Added a hack to avoid crash with binaries compiled by g++ on MSYS2. 2019-07-05 00:22:41 +09:00
Hisayori Noda 89e846c476 Fixed a bug that Learner::qsearch() recognizes stalemate as checkmated. 2019-07-04 23:44:58 +09:00
Hisayori Noda 81262320c3 Revert "Changed the constant value to calculate the winning percentage."
This reverts commit 00f84ed99a.
2019-06-30 11:29:43 +09:00
Hisayori Noda 00f84ed99a Changed the constant value to calculate the winning percentage. 2019-06-26 08:48:48 +09:00
Hisayori Noda 26271586cb Added #if to fix compile errors. 2019-06-24 23:18:17 +09:00
Hisayori Noda a413bf7aad Added hack to avoid crash during machine learning. 2019-06-24 23:17:46 +09:00
Hisayori Noda 9a73df7379 Added test commands. 2019-06-22 00:40:46 +09:00
Hisayori Noda 5772509e8b Disabled TT when EVAL_LEARN is enabled. 2019-06-22 00:40:25 +09:00
Hisayori Noda 641724e3a5 Added debug code. 2019-06-22 00:39:21 +09:00
Hisayori Noda 57ead90f18 Fixed a bug that the game play is invalid. 2019-06-22 00:38:24 +09:00
Hisayori Noda 07dc336b0f Added validation logic. 2019-06-22 00:37:59 +09:00
Hisayori Noda 84a96a3d9c Fixed a compilation error. 2019-06-22 00:37:31 +09:00
Hisayori Noda 998d8721bd Fixed a bug that White and Black are reversed. 2019-06-22 00:37:10 +09:00
Hisayori Noda 9dab4660ce Added source files. 2019-06-22 00:36:42 +09:00
Hisayori Noda 90ef97dcbd Fixed crash bugs. 2019-06-20 00:25:40 +09:00
Hisayori Noda 24576d77ab Merged uci parse logic. 2019-06-18 21:19:51 +09:00
Hisayori Noda f58d616198 Fixed compile errors when EVAL_LEARN or EVAL_NNUE are defined. 2019-06-18 20:28:50 +09:00
Hisayori Noda bcd6985871 Merged the training data generator and the machine learning logic from YaneuraOu. 2019-06-18 08:48:05 +09:00
Hisayori Noda 87445881ec Added #ifdef statements to switch the legacy evaluation function and NNUE evaluation function. 2019-06-16 11:11:16 +09:00
Hisayori Noda 48bfe86d27 Implemented the logic to update Eval List and Dirty Pieces. 2019-06-16 10:33:53 +09:00
Hisayori Noda b330602cdc Fixed compile errors. 2019-06-15 17:08:47 +09:00
Hisayori Noda 9964fbbe25 Reverted evaluate.cpp. 2019-06-15 11:46:54 +09:00
Hisayori Noda db02ddcc90 Added files for NNUE. 2019-06-09 10:40:12 +09:00
93 changed files with 12044 additions and 13583 deletions
-44
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@@ -1,44 +0,0 @@
AccessModifierOffset: -1
AlignAfterOpenBracket: Align
AlignConsecutiveAssignments: Consecutive
AlignConsecutiveDeclarations: Consecutive
AlignEscapedNewlines: DontAlign
AlignOperands: AlignAfterOperator
AlignTrailingComments: true
AllowAllParametersOfDeclarationOnNextLine: true
AllowShortCaseLabelsOnASingleLine: false
AllowShortEnumsOnASingleLine: false
AllowShortIfStatementsOnASingleLine: false
AlwaysBreakTemplateDeclarations: Yes
BasedOnStyle: WebKit
BitFieldColonSpacing: After
BinPackParameters: false
BreakBeforeBinaryOperators: NonAssignment
BreakBeforeBraces: Custom
BraceWrapping:
AfterFunction: false
AfterClass: false
AfterControlStatement: true
BeforeElse: true
BreakBeforeTernaryOperators: true
BreakConstructorInitializers: AfterColon
BreakStringLiterals: false
ColumnLimit: 100
ContinuationIndentWidth: 2
Cpp11BracedListStyle: true
IndentGotoLabels: false
IndentPPDirectives: BeforeHash
IndentWidth: 4
MaxEmptyLinesToKeep: 2
NamespaceIndentation: None
PackConstructorInitializers: Never
ReflowComments: false
SortIncludes: false
SortUsingDeclarations: false
SpaceAfterCStyleCast: true
SpaceAfterTemplateKeyword: false
SpaceBeforeCaseColon: true
SpaceBeforeCpp11BracedList: false
SpaceBeforeInheritanceColon: false
SpaceInEmptyBlock: false
SpacesBeforeTrailingComments: 2
-7
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@@ -1,7 +0,0 @@
# .git-blame-ignore-revs
# Ignore commit which added clang-format
2d0237db3f0e596fb06e3ffbadba84dcc4e018f6
# Post commit formatting fixes
0fca5605fa2e5e7240fde5e1aae50952b2612231
08ed4c90db31959521b7ef3186c026edd1e90307
-65
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@@ -1,65 +0,0 @@
name: Report issue
description: Create a report to help us fix issues with the engine
body:
- type: textarea
attributes:
label: Describe the issue
description: A clear and concise description of what you're experiencing.
validations:
required: true
- type: textarea
attributes:
label: Expected behavior
description: A clear and concise description of what you expected to happen.
validations:
required: true
- type: textarea
attributes:
label: Steps to reproduce
description: |
Steps to reproduce the behavior.
You can also use this section to paste the command line output.
placeholder: |
```
position startpos moves g2g4 e7e5 f2f3
go mate 1
info string NNUE evaluation using nn-6877cd24400e.nnue enabled
info depth 1 seldepth 1 multipv 1 score mate 1 nodes 33 nps 11000 tbhits 0 time 3 pv d8h4
bestmove d8h4
```
validations:
required: true
- type: textarea
attributes:
label: Anything else?
description: |
Anything that will give us more context about the issue you are encountering.
You can also use this section to propose ideas on how to solve the issue.
validations:
required: false
- type: dropdown
attributes:
label: Operating system
options:
- All
- Windows
- Linux
- MacOS
- Android
- Other or N/A
validations:
required: true
- type: input
attributes:
label: Stockfish version
description: |
This can be found by running the engine.
You can also use the commit ID.
placeholder: Stockfish 15 / e6e324e
validations:
required: true
-8
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@@ -1,8 +0,0 @@
blank_issues_enabled: false
contact_links:
- name: Discord server
url: https://discord.gg/GWDRS3kU6R
about: Feel free to ask for support or have a chat with us on our Discord server!
- name: Discussions, Q&A, ideas, show us something...
url: https://github.com/official-stockfish/Stockfish/discussions/new
about: Do you have an idea for Stockfish? Do you want to show something that you made? Please open a discussion about it!
-51
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@@ -1,51 +0,0 @@
{
"config": [
{
"name": "Android NDK aarch64",
"os": "ubuntu-22.04",
"simple_name": "android",
"compiler": "aarch64-linux-android21-clang++",
"emu": "qemu-aarch64",
"comp": "ndk",
"shell": "bash",
"archive_ext": "tar"
},
{
"name": "Android NDK arm",
"os": "ubuntu-22.04",
"simple_name": "android",
"compiler": "armv7a-linux-androideabi21-clang++",
"emu": "qemu-arm",
"comp": "ndk",
"shell": "bash",
"archive_ext": "tar"
}
],
"binaries": ["armv8-dotprod", "armv8", "armv7", "armv7-neon"],
"exclude": [
{
"binaries": "armv8-dotprod",
"config": {
"compiler": "armv7a-linux-androideabi21-clang++"
}
},
{
"binaries": "armv8",
"config": {
"compiler": "armv7a-linux-androideabi21-clang++"
}
},
{
"binaries": "armv7",
"config": {
"compiler": "aarch64-linux-android21-clang++"
}
},
{
"binaries": "armv7-neon",
"config": {
"compiler": "aarch64-linux-android21-clang++"
}
}
]
}
-21
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@@ -1,21 +0,0 @@
[
# Mappings for libcxx's internal headers
{ include: [ "<__fwd/fstream.h>", private, "<iosfwd>", public ] },
{ include: [ "<__fwd/ios.h>", private, "<iosfwd>", public ] },
{ include: [ "<__fwd/istream.h>", private, "<iosfwd>", public ] },
{ include: [ "<__fwd/ostream.h>", private, "<iosfwd>", public ] },
{ include: [ "<__fwd/sstream.h>", private, "<iosfwd>", public ] },
{ include: [ "<__fwd/streambuf.h>", private, "<iosfwd>", public ] },
{ include: [ "<__fwd/string_view.h>", private, "<string_view>", public ] },
# Mappings for includes between public headers
{ include: [ "<ios>", public, "<iostream>", public ] },
{ include: [ "<streambuf>", public, "<iostream>", public ] },
{ include: [ "<istream>", public, "<iostream>", public ] },
{ include: [ "<ostream>", public, "<iostream>", public ] },
{ include: [ "<iosfwd>", public, "<iostream>", public ] },
# Missing mappings in include-what-you-use's libcxx.imp
{ include: ["@<__condition_variable/.*>", private, "<condition_variable>", public ] },
{ include: ["@<__mutex/.*>", private, "<mutex>", public ] },
]
-160
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@@ -1,160 +0,0 @@
{
"config": [
{
"name": "Ubuntu 20.04 GCC",
"os": "ubuntu-20.04",
"simple_name": "ubuntu",
"compiler": "g++",
"comp": "gcc",
"shell": "bash",
"archive_ext": "tar",
"sde": "/home/runner/work/Stockfish/Stockfish/.output/sde-temp-files/sde-external-9.27.0-2023-09-13-lin/sde -future --"
},
{
"name": "MacOS 13 Apple Clang",
"os": "macos-13",
"simple_name": "macos",
"compiler": "clang++",
"comp": "clang",
"shell": "bash",
"archive_ext": "tar"
},
{
"name": "MacOS 14 Apple Clang M1",
"os": "macos-14",
"simple_name": "macos-m1",
"compiler": "clang++",
"comp": "clang",
"shell": "bash",
"archive_ext": "tar"
},
{
"name": "Windows 2022 Mingw-w64 GCC x86_64",
"os": "windows-2022",
"simple_name": "windows",
"compiler": "g++",
"comp": "mingw",
"msys_sys": "mingw64",
"msys_env": "x86_64-gcc",
"shell": "msys2 {0}",
"ext": ".exe",
"sde": "/d/a/Stockfish/Stockfish/.output/sde-temp-files/sde-external-9.27.0-2023-09-13-win/sde.exe -future --",
"archive_ext": "zip"
}
],
"binaries": [
"x86-64",
"x86-64-sse41-popcnt",
"x86-64-avx2",
"x86-64-bmi2",
"x86-64-avxvnni",
"x86-64-avx512",
"x86-64-vnni256",
"x86-64-vnni512",
"apple-silicon"
],
"exclude": [
{
"binaries": "x86-64",
"config": {
"os": "macos-14"
}
},
{
"binaries": "x86-64-sse41-popcnt",
"config": {
"os": "macos-14"
}
},
{
"binaries": "x86-64-avx2",
"config": {
"os": "macos-14"
}
},
{
"binaries": "x86-64-bmi2",
"config": {
"os": "macos-14"
}
},
{
"binaries": "x86-64-avxvnni",
"config": {
"os": "macos-14"
}
},
{
"binaries": "x86-64-avxvnni",
"config": {
"os": "macos-14"
}
},
{
"binaries": "x86-64-avx512",
"config": {
"os": "macos-14"
}
},
{
"binaries": "x86-64-vnni256",
"config": {
"os": "macos-14"
}
},
{
"binaries": "x86-64-vnni512",
"config": {
"os": "macos-14"
}
},
{
"binaries": "x86-64-avxvnni",
"config": {
"ubuntu-20.04": null
}
},
{
"binaries": "x86-64-avxvnni",
"config": {
"os": "macos-13"
}
},
{
"binaries": "x86-64-avx512",
"config": {
"os": "macos-13"
}
},
{
"binaries": "x86-64-vnni256",
"config": {
"os": "macos-13"
}
},
{
"binaries": "x86-64-vnni512",
"config": {
"os": "macos-13"
}
},
{
"binaries": "apple-silicon",
"config": {
"os": "windows-2022"
}
},
{
"binaries": "apple-silicon",
"config": {
"os": "macos-13"
}
},
{
"binaries": "apple-silicon",
"config": {
"os": "ubuntu-20.04"
}
}
]
}
-94
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@@ -1,94 +0,0 @@
name: Compilation
on:
workflow_call:
inputs:
matrix:
type: string
required: true
jobs:
Compilation:
name: ${{ matrix.config.name }} ${{ matrix.binaries }}
runs-on: ${{ matrix.config.os }}
env:
COMPILER: ${{ matrix.config.compiler }}
COMP: ${{ matrix.config.comp }}
EMU: ${{ matrix.config.emu }}
EXT: ${{ matrix.config.ext }}
BINARY: ${{ matrix.binaries }}
strategy:
fail-fast: false
matrix: ${{ fromJson(inputs.matrix) }}
defaults:
run:
working-directory: src
shell: ${{ matrix.config.shell }}
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Download required linux packages
if: runner.os == 'Linux'
run: |
sudo apt update
sudo apt install qemu-user
- name: Install NDK
if: runner.os == 'Linux'
run: |
if [ $COMP == ndk ]; then
NDKV="21.4.7075529"
ANDROID_ROOT=/usr/local/lib/android
ANDROID_SDK_ROOT=$ANDROID_ROOT/sdk
SDKMANAGER=$ANDROID_SDK_ROOT/cmdline-tools/latest/bin/sdkmanager
echo "y" | $SDKMANAGER "ndk;$NDKV"
ANDROID_NDK_ROOT=$ANDROID_SDK_ROOT/ndk/$NDKV
ANDROID_NDK_BIN=$ANDROID_NDK_ROOT/toolchains/llvm/prebuilt/linux-x86_64/bin
echo "ANDROID_NDK_BIN=$ANDROID_NDK_BIN" >> $GITHUB_ENV
fi
- name: Extract the bench number from the commit history
run: |
for hash in $(git rev-list -100 HEAD); do
benchref=$(git show -s $hash | tac | grep -m 1 -o -x '[[:space:]]*\b[Bb]ench[ :]\+[1-9][0-9]\{5,7\}\b[[:space:]]*' | sed 's/[^0-9]//g') && break || true
done
[[ -n "$benchref" ]] && echo "benchref=$benchref" >> $GITHUB_ENV && echo "From commit: $hash" && echo "Reference bench: $benchref" || echo "No bench found"
- name: Download the used network from the fishtest framework
run: make net
- name: Check compiler
run: |
if [ $COMP == ndk ]; then
export PATH=${{ env.ANDROID_NDK_BIN }}:$PATH
fi
$COMPILER -v
- name: Test help target
run: make help
- name: Check git
run: git --version
# Compile profile guided builds
- name: Compile ${{ matrix.binaries }} build
run: |
if [ $COMP == ndk ]; then
export PATH=${{ env.ANDROID_NDK_BIN }}:$PATH
export LDFLAGS="-static -Wno-unused-command-line-argument"
fi
make clean
make -j4 profile-build ARCH=$BINARY COMP=$COMP WINE_PATH=$EMU
make strip ARCH=$BINARY COMP=$COMP
WINE_PATH=$EMU ../tests/signature.sh $benchref
mv ./stockfish$EXT ../stockfish-android-$BINARY$EXT
- name: Remove non src files
run: git clean -fx
- name: Upload artifact for (pre)-release
uses: actions/upload-artifact@v4
with:
name: ${{ matrix.config.simple_name }} ${{ matrix.binaries }}
path: .
-51
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@@ -1,51 +0,0 @@
# This workflow will run clang-format and comment on the PR.
# Because of security reasons, it is crucial that this workflow
# executes no shell script nor runs make.
# Read this before editing: https://securitylab.github.com/research/github-actions-preventing-pwn-requests/
name: Clang-Format
on:
pull_request_target:
branches:
- "master"
paths:
- "**.cpp"
- "**.h"
jobs:
Clang-Format:
name: Clang-Format
runs-on: ubuntu-20.04
steps:
- uses: actions/checkout@v4
with:
ref: ${{ github.event.pull_request.head.sha }}
- name: Run clang-format style check
uses: jidicula/clang-format-action@f62da5e3d3a2d88ff364771d9d938773a618ab5e # @v4.11.0
id: clang-format
continue-on-error: true
with:
clang-format-version: "17"
exclude-regex: "incbin"
- name: Comment on PR
if: steps.clang-format.outcome == 'failure'
uses: thollander/actions-comment-pull-request@1d3973dc4b8e1399c0620d3f2b1aa5e795465308 # @v2.4.3
with:
message: |
clang-format 17 needs to be run on this PR.
If you do not have clang-format installed, the maintainer will run it when merging.
For the exact version please see https://packages.ubuntu.com/mantic/clang-format-17.
_(execution **${{ github.run_id }}** / attempt **${{ github.run_attempt }}**)_
comment_tag: execution
- name: Comment on PR
if: steps.clang-format.outcome != 'failure'
uses: thollander/actions-comment-pull-request@1d3973dc4b8e1399c0620d3f2b1aa5e795465308 # @v2.4.3
with:
message: |
_(execution **${{ github.run_id }}** / attempt **${{ github.run_attempt }}**)_
create_if_not_exists: false
comment_tag: execution
mode: delete
-53
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@@ -1,53 +0,0 @@
name: "CodeQL"
on:
push:
branches: ["master"]
pull_request:
# The branches below must be a subset of the branches above
branches: ["master"]
schedule:
- cron: "17 18 * * 1"
jobs:
analyze:
name: Analyze
runs-on: ubuntu-latest
permissions:
actions: read
contents: read
security-events: write
strategy:
fail-fast: false
matrix:
language: ["cpp"]
# CodeQL supports [ 'cpp', 'csharp', 'go', 'java', 'javascript', 'python', 'ruby' ]
# Use only 'java' to analyze code written in Java, Kotlin, or both
# Use only 'javascript' to analyze code written in JavaScript, TypeScript or both
# Learn more about CodeQL language support at https://aka.ms/codeql-docs/language-support
steps:
- name: Checkout repository
uses: actions/checkout@v4
# Initializes the CodeQL tools for scanning.
- name: Initialize CodeQL
uses: github/codeql-action/init@v3
with:
languages: ${{ matrix.language }}
# If you wish to specify custom queries, you can do so here or in a config file.
# By default, queries listed here will override any specified in a config file.
# Prefix the list here with "+" to use these queries and those in the config file.
# For more details on CodeQL's query packs, refer to: https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/configuring-code-scanning#using-queries-in-ql-packs
# queries: security-extended,security-and-quality
- name: Build
working-directory: src
run: make -j build ARCH=x86-64-modern
- name: Perform CodeQL Analysis
uses: github/codeql-action/analyze@v3
with:
category: "/language:${{matrix.language}}"
-89
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@@ -1,89 +0,0 @@
name: Compilation
on:
workflow_call:
inputs:
matrix:
type: string
required: true
jobs:
Compilation:
name: ${{ matrix.config.name }} ${{ matrix.binaries }}
runs-on: ${{ matrix.config.os }}
env:
COMPILER: ${{ matrix.config.compiler }}
COMP: ${{ matrix.config.comp }}
EXT: ${{ matrix.config.ext }}
NAME: ${{ matrix.config.simple_name }}
BINARY: ${{ matrix.binaries }}
SDE: ${{ matrix.config.sde }}
strategy:
fail-fast: false
matrix: ${{ fromJson(inputs.matrix) }}
defaults:
run:
working-directory: src
shell: ${{ matrix.config.shell }}
steps:
- uses: actions/checkout@v4
- name: Install fixed GCC on Linux
if: runner.os == 'Linux'
uses: egor-tensin/setup-gcc@eaa888eb19115a521fa72b65cd94fe1f25bbcaac # @v1.3
with:
version: 11
- name: Setup msys and install required packages
if: runner.os == 'Windows'
uses: msys2/setup-msys2@v2
with:
msystem: ${{ matrix.config.msys_sys }}
install: mingw-w64-${{ matrix.config.msys_env }} make git zip
- name: Download SDE package
if: runner.os == 'Linux' || runner.os == 'Windows'
uses: petarpetrovt/setup-sde@91a1a03434384e064706634125a15f7446d2aafb # @v2.3
with:
environmentVariableName: SDE_DIR
sdeVersion: 9.27.0
- name: Download the used network from the fishtest framework
run: make net
- name: Check compiler
run: $COMPILER -v
- name: Test help target
run: make help
- name: Check git
run: git --version
- name: Check compiler
run: $COMPILER -v
- name: Show g++ cpu info
if: runner.os != 'macOS'
run: g++ -Q -march=native --help=target
- name: Show clang++ cpu info
if: runner.os == 'macOS'
run: clang++ -E - -march=native -###
# x86-64 with newer extensions tests
- name: Compile ${{ matrix.config.binaries }} build
run: |
make clean
make -j4 profile-build ARCH=$BINARY COMP=$COMP WINE_PATH="$SDE"
make strip ARCH=$BINARY COMP=$COMP
WINE_PATH="$SDE" ../tests/signature.sh $benchref
mv ./stockfish$EXT ../stockfish-$NAME-$BINARY$EXT
- name: Remove non src files
run: git clean -fx
- name: Upload artifact for (pre)-release
uses: actions/upload-artifact@v4
with:
name: ${{ matrix.config.simple_name }} ${{ matrix.binaries }}
path: .
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@@ -1,47 +0,0 @@
name: IWYU
on:
workflow_call:
jobs:
Analyzers:
name: Check includes
runs-on: ubuntu-22.04
defaults:
run:
working-directory: Stockfish/src
shell: bash
steps:
- name: Checkout Stockfish
uses: actions/checkout@v4
with:
path: Stockfish
- name: Checkout include-what-you-use
uses: actions/checkout@v4
with:
repository: include-what-you-use/include-what-you-use
ref: f25caa280dc3277c4086ec345ad279a2463fea0f
path: include-what-you-use
- name: Download required linux packages
run: |
sudo add-apt-repository 'deb http://apt.llvm.org/jammy/ llvm-toolchain-jammy-17 main'
wget -O - https://apt.llvm.org/llvm-snapshot.gpg.key | sudo apt-key add -
sudo apt update
sudo apt install -y libclang-17-dev clang-17 libc++-17-dev
- name: Set up include-what-you-use
run: |
mkdir build && cd build
cmake -G "Unix Makefiles" -DCMAKE_PREFIX_PATH="/usr/lib/llvm-17" ..
sudo make install
working-directory: include-what-you-use
- name: Check include-what-you-use
run: include-what-you-use --version
- name: Check includes
run: >
make analyze
COMP=clang
CXX=include-what-you-use
CXXFLAGS="-stdlib=libc++ -Xiwyu --comment_style=long -Xiwyu --mapping='${{ github.workspace }}/Stockfish/.github/ci/libcxx17.imp' -Xiwyu --error"
-65
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@@ -1,65 +0,0 @@
name: Sanitizers
on:
workflow_call:
jobs:
Test-under-sanitizers:
name: ${{ matrix.sanitizers.name }}
runs-on: ${{ matrix.config.os }}
env:
COMPILER: ${{ matrix.config.compiler }}
COMP: ${{ matrix.config.comp }}
CXXFLAGS: "-Werror"
strategy:
fail-fast: false
matrix:
config:
- name: Ubuntu 22.04 GCC
os: ubuntu-22.04
compiler: g++
comp: gcc
shell: bash
sanitizers:
- name: Run with thread sanitizer
make_option: sanitize=thread
instrumented_option: sanitizer-thread
- name: Run with UB sanitizer
make_option: sanitize=undefined
instrumented_option: sanitizer-undefined
- name: Run under valgrind
make_option: ""
instrumented_option: valgrind
- name: Run under valgrind-thread
make_option: ""
instrumented_option: valgrind-thread
defaults:
run:
working-directory: src
shell: ${{ matrix.config.shell }}
steps:
- uses: actions/checkout@v4
- name: Download required linux 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: Check compiler
run: $COMPILER -v
- name: Test help target
run: make help
- name: Check git
run: git --version
# Sanitizers
- name: ${{ matrix.sanitizers.name }}
run: |
export CXXFLAGS="-O1 -fno-inline"
make clean
make -j4 ARCH=x86-64-sse41-popcnt ${{ matrix.sanitizers.make_option }} debug=yes optimize=no build > /dev/null
../tests/instrumented.sh --${{ matrix.sanitizers.instrumented_option }}
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@@ -1,76 +0,0 @@
name: Stockfish
on:
push:
tags:
- "*"
branches:
- master
- tools
- github_ci
pull_request:
branches:
- master
- tools
jobs:
Prerelease:
if: github.repository == 'official-stockfish/Stockfish' && (github.ref == 'refs/heads/master' || (startsWith(github.ref_name, 'sf_') && github.ref_type == 'tag'))
runs-on: ubuntu-latest
steps:
# returns null if no pre-release exists
- name: Get Commit SHA of Latest Pre-release
run: |
# Install required packages
sudo apt-get update
sudo apt-get install -y curl jq
echo "COMMIT_SHA=$(jq -r 'map(select(.prerelease)) | first | .tag_name' <<< $(curl -s https://api.github.com/repos/${{ github.repository_owner }}/Stockfish/releases))" >> $GITHUB_ENV
# delete old previous pre-release and tag
- uses: actions/checkout@v4
- run: gh release delete ${{ env.COMMIT_SHA }} --cleanup-tag
if: env.COMMIT_SHA != 'null'
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
Matrix:
runs-on: ubuntu-latest
outputs:
matrix: ${{ steps.set-matrix.outputs.matrix }}
arm_matrix: ${{ steps.set-arm-matrix.outputs.arm_matrix }}
steps:
- uses: actions/checkout@v4
- id: set-matrix
run: |
TASKS=$(echo $(cat .github/ci/matrix.json) )
echo "MATRIX=$TASKS" >> $GITHUB_OUTPUT
- id: set-arm-matrix
run: |
TASKS_ARM=$(echo $(cat .github/ci/arm_matrix.json) )
echo "ARM_MATRIX=$TASKS_ARM" >> $GITHUB_OUTPUT
Compilation:
needs: [Matrix]
uses: ./.github/workflows/compilation.yml
with:
matrix: ${{ needs.Matrix.outputs.matrix }}
ARMCompilation:
needs: [Matrix]
uses: ./.github/workflows/arm_compilation.yml
with:
matrix: ${{ needs.Matrix.outputs.arm_matrix }}
IWYU:
uses: ./.github/workflows/iwyu.yml
Sanitizers:
uses: ./.github/workflows/sanitizers.yml
Tests:
uses: ./.github/workflows/tests.yml
Binaries:
if: github.repository == 'official-stockfish/Stockfish'
needs: [Matrix, Prerelease, Compilation]
uses: ./.github/workflows/upload_binaries.yml
with:
matrix: ${{ needs.Matrix.outputs.matrix }}
ARM_Binaries:
if: github.repository == 'official-stockfish/Stockfish'
needs: [Matrix, Prerelease, ARMCompilation]
uses: ./.github/workflows/upload_binaries.yml
with:
matrix: ${{ needs.Matrix.outputs.arm_matrix }}
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@@ -1,365 +0,0 @@
name: Tests
on:
workflow_call:
jobs:
Test-Targets:
name: ${{ matrix.config.name }}
runs-on: ${{ matrix.config.os }}
env:
COMPILER: ${{ matrix.config.compiler }}
COMP: ${{ matrix.config.comp }}
CXXFLAGS: "-Werror"
strategy:
fail-fast: false
matrix:
config:
- name: Ubuntu 20.04 GCC
os: ubuntu-20.04
compiler: g++
comp: gcc
run_32bit_tests: true
run_64bit_tests: true
shell: bash
- name: Ubuntu 20.04 Clang
os: ubuntu-20.04
compiler: clang++
comp: clang
run_32bit_tests: true
run_64bit_tests: true
shell: bash
- name: Android NDK aarch64
os: ubuntu-22.04
compiler: aarch64-linux-android21-clang++
comp: ndk
run_armv8_tests: true
shell: bash
- name: Android NDK arm
os: ubuntu-22.04
compiler: armv7a-linux-androideabi21-clang++
comp: ndk
run_armv7_tests: true
shell: bash
- name: Linux GCC riscv64
os: ubuntu-22.04
compiler: g++
comp: gcc
run_riscv64_tests: true
base_image: "riscv64/alpine:edge"
platform: linux/riscv64
shell: bash
- name: Linux GCC ppc64
os: ubuntu-22.04
compiler: g++
comp: gcc
run_ppc64_tests: true
base_image: "ppc64le/alpine:latest"
platform: linux/ppc64le
shell: bash
- name: MacOS 13 Apple Clang
os: macos-13
compiler: clang++
comp: clang
run_64bit_tests: true
shell: bash
- name: MacOS 14 Apple Clang M1
os: macos-14
compiler: clang++
comp: clang
run_64bit_tests: false
run_m1_tests: true
shell: bash
- name: MacOS 13 GCC 11
os: macos-13
compiler: g++-11
comp: gcc
run_64bit_tests: true
shell: bash
- name: Windows 2022 Mingw-w64 GCC x86_64
os: windows-2022
compiler: g++
comp: mingw
run_64bit_tests: true
msys_sys: mingw64
msys_env: x86_64-gcc
shell: msys2 {0}
- name: Windows 2022 Mingw-w64 GCC i686
os: windows-2022
compiler: g++
comp: mingw
run_32bit_tests: true
msys_sys: mingw32
msys_env: i686-gcc
shell: msys2 {0}
- name: Windows 2022 Mingw-w64 Clang x86_64
os: windows-2022
compiler: clang++
comp: clang
run_64bit_tests: true
msys_sys: clang64
msys_env: clang-x86_64-clang
shell: msys2 {0}
defaults:
run:
working-directory: src
shell: ${{ matrix.config.shell }}
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Download required linux packages
if: runner.os == 'Linux'
run: |
sudo apt update
sudo apt install expect valgrind g++-multilib qemu-user-static
- name: Install NDK
if: runner.os == 'Linux'
run: |
if [ $COMP == ndk ]; then
NDKV="21.4.7075529"
ANDROID_ROOT=/usr/local/lib/android
ANDROID_SDK_ROOT=$ANDROID_ROOT/sdk
SDKMANAGER=$ANDROID_SDK_ROOT/cmdline-tools/latest/bin/sdkmanager
echo "y" | $SDKMANAGER "ndk;$NDKV"
ANDROID_NDK_ROOT=$ANDROID_SDK_ROOT/ndk/$NDKV
ANDROID_NDK_BIN=$ANDROID_NDK_ROOT/toolchains/llvm/prebuilt/linux-x86_64/bin
echo "ANDROID_NDK_BIN=$ANDROID_NDK_BIN" >> $GITHUB_ENV
fi
- name: Set up QEMU
if: matrix.config.base_image
uses: docker/setup-qemu-action@v3
- name: Set up Docker Buildx
if: matrix.config.base_image
uses: docker/setup-buildx-action@v3
- name: Build Docker container
if: matrix.config.base_image
run: |
docker buildx build --load -t sf_builder - << EOF
FROM ${{ matrix.config.base_image }}
WORKDIR /app
RUN apk update && apk add make g++
CMD ["sh", "script.sh"]
EOF
- name: Download required macOS packages
if: runner.os == 'macOS'
run: brew install coreutils
- name: Setup msys and install required packages
if: runner.os == 'Windows'
uses: msys2/setup-msys2@v2
with:
msystem: ${{ matrix.config.msys_sys }}
install: mingw-w64-${{ matrix.config.msys_env }} make git expect
- name: Download the used network from the fishtest framework
run: make net
- name: Extract the bench number from the commit history
run: |
for hash in $(git rev-list -100 HEAD); do
benchref=$(git show -s $hash | tac | grep -m 1 -o -x '[[:space:]]*\b[Bb]ench[ :]\+[1-9][0-9]\{5,7\}\b[[:space:]]*' | sed 's/[^0-9]//g') && break || true
done
[[ -n "$benchref" ]] && echo "benchref=$benchref" >> $GITHUB_ENV && echo "From commit: $hash" && echo "Reference bench: $benchref" || echo "No bench found"
- name: Check compiler
run: |
if [ -z "${{ matrix.config.base_image }}" ]; then
if [ $COMP == ndk ]; then
export PATH=${{ env.ANDROID_NDK_BIN }}:$PATH
fi
$COMPILER -v
else
echo "$COMPILER -v" > script.sh
docker run --rm --platform ${{ matrix.config.platform }} -v ${{ github.workspace }}/src:/app sf_builder
fi
- name: Test help target
run: make help
- name: Check git
run: git --version
# x86-32 tests
- name: Test debug x86-32 build
if: matrix.config.run_32bit_tests
run: |
export CXXFLAGS="-Werror -D_GLIBCXX_DEBUG"
make clean
make -j4 ARCH=x86-32 optimize=no debug=yes build
../tests/signature.sh $benchref
- name: Test x86-32 build
if: matrix.config.run_32bit_tests
run: |
make clean
make -j4 ARCH=x86-32 build
../tests/signature.sh $benchref
- name: Test x86-32-sse41-popcnt build
if: matrix.config.run_32bit_tests
run: |
make clean
make -j4 ARCH=x86-32-sse41-popcnt build
../tests/signature.sh $benchref
- name: Test x86-32-sse2 build
if: matrix.config.run_32bit_tests
run: |
make clean
make -j4 ARCH=x86-32-sse2 build
../tests/signature.sh $benchref
- name: Test general-32 build
if: matrix.config.run_32bit_tests
run: |
make clean
make -j4 ARCH=general-32 build
../tests/signature.sh $benchref
# x86-64 tests
- name: Test debug x86-64-avx2 build
if: matrix.config.run_64bit_tests
run: |
export CXXFLAGS="-Werror -D_GLIBCXX_DEBUG"
make clean
make -j4 ARCH=x86-64-avx2 optimize=no debug=yes build
../tests/signature.sh $benchref
- name: Test x86-64-bmi2 build
if: matrix.config.run_64bit_tests
run: |
make clean
make -j4 ARCH=x86-64-bmi2 build
../tests/signature.sh $benchref
- name: Test x86-64-avx2 build
if: matrix.config.run_64bit_tests
run: |
make clean
make -j4 ARCH=x86-64-avx2 build
../tests/signature.sh $benchref
# Test a deprecated arch
- name: Test x86-64-modern build
if: matrix.config.run_64bit_tests
run: |
make clean
make -j4 ARCH=x86-64-modern build
../tests/signature.sh $benchref
- name: Test x86-64-sse41-popcnt build
if: matrix.config.run_64bit_tests
run: |
make clean
make -j4 ARCH=x86-64-sse41-popcnt build
../tests/signature.sh $benchref
- name: Test x86-64-ssse3 build
if: matrix.config.run_64bit_tests
run: |
make clean
make -j4 ARCH=x86-64-ssse3 build
../tests/signature.sh $benchref
- name: Test x86-64-sse3-popcnt build
if: matrix.config.run_64bit_tests
run: |
make clean
make -j4 ARCH=x86-64-sse3-popcnt build
../tests/signature.sh $benchref
- name: Test x86-64 build
if: matrix.config.run_64bit_tests
run: |
make clean
make -j4 ARCH=x86-64 build
../tests/signature.sh $benchref
- name: Test general-64 build
if: matrix.config.run_64bit_tests
run: |
make clean
make -j4 ARCH=general-64 build
../tests/signature.sh $benchref
- name: Test apple-silicon build
if: matrix.config.run_m1_tests
run: |
make clean
make -j4 ARCH=apple-silicon build
../tests/signature.sh $benchref
# armv8 tests
- name: Test armv8 build
if: matrix.config.run_armv8_tests
run: |
export PATH=${{ env.ANDROID_NDK_BIN }}:$PATH
export LDFLAGS="-static -Wno-unused-command-line-argument"
make clean
make -j4 ARCH=armv8 build
../tests/signature.sh $benchref
- name: Test armv8-dotprod build
if: matrix.config.run_armv8_tests
run: |
export PATH=${{ env.ANDROID_NDK_BIN }}:$PATH
export LDFLAGS="-static -Wno-unused-command-line-argument"
make clean
make -j4 ARCH=armv8-dotprod build
../tests/signature.sh $benchref
# armv7 tests
- name: Test armv7 build
if: matrix.config.run_armv7_tests
run: |
export PATH=${{ env.ANDROID_NDK_BIN }}:$PATH
export LDFLAGS="-static -Wno-unused-command-line-argument"
make clean
make -j4 ARCH=armv7 build
../tests/signature.sh $benchref
- name: Test armv7-neon build
if: matrix.config.run_armv7_tests
run: |
export PATH=${{ env.ANDROID_NDK_BIN }}:$PATH
export LDFLAGS="-static -Wno-unused-command-line-argument"
make clean
make -j4 ARCH=armv7-neon build
../tests/signature.sh $benchref
# riscv64 tests
- name: Test riscv64 build
if: matrix.config.run_riscv64_tests
run: |
echo "export LDFLAGS='-static' && make clean && make -j4 ARCH=riscv64 build" > script.sh
docker run --rm --platform ${{ matrix.config.platform }} -v ${{ github.workspace }}/src:/app sf_builder
../tests/signature.sh $benchref
# ppc64 tests
- name: Test ppc64 build
if: matrix.config.run_ppc64_tests
run: |
echo "export LDFLAGS='-static' && make clean && make -j4 ARCH=ppc-64 build" > script.sh
docker run --rm --platform ${{ matrix.config.platform }} -v ${{ github.workspace }}/src:/app sf_builder
../tests/signature.sh $benchref
# Other tests
- name: Check perft and search reproducibility
if: matrix.config.run_64bit_tests
run: |
make clean
make -j4 ARCH=x86-64-avx2 build
../tests/perft.sh
../tests/reprosearch.sh
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@@ -1,105 +0,0 @@
name: Upload Binaries
on:
workflow_call:
inputs:
matrix:
type: string
required: true
jobs:
Artifacts:
name: ${{ matrix.config.name }} ${{ matrix.binaries }}
runs-on: ${{ matrix.config.os }}
env:
COMPILER: ${{ matrix.config.compiler }}
COMP: ${{ matrix.config.comp }}
EXT: ${{ matrix.config.ext }}
NAME: ${{ matrix.config.simple_name }}
BINARY: ${{ matrix.binaries }}
SDE: ${{ matrix.config.sde }}
strategy:
fail-fast: false
matrix: ${{ fromJson(inputs.matrix) }}
defaults:
run:
shell: ${{ matrix.config.shell }}
steps:
- uses: actions/checkout@v4
- name: Download artifact from compilation
uses: actions/download-artifact@v4
with:
name: ${{ matrix.config.simple_name }} ${{ matrix.binaries }}
path: ${{ matrix.config.simple_name }} ${{ matrix.binaries }}
- name: Setup msys and install required packages
if: runner.os == 'Windows'
uses: msys2/setup-msys2@v2
with:
msystem: ${{ matrix.config.msys_sys }}
install: mingw-w64-${{ matrix.config.msys_env }} make git zip
- name: Create Package
run: |
mkdir stockfish
- name: Download wiki
run: |
git clone https://github.com/official-stockfish/Stockfish.wiki.git wiki
rm -rf wiki/.git
mv wiki stockfish/
- name: Copy files
run: |
mv "${{ matrix.config.simple_name }} ${{ matrix.binaries }}" stockfish-workflow
cd stockfish-workflow
cp -r src ../stockfish/
cp stockfish-$NAME-$BINARY$EXT ../stockfish/
cp "Top CPU Contributors.txt" ../stockfish/
cp Copying.txt ../stockfish/
cp AUTHORS ../stockfish/
cp CITATION.cff ../stockfish/
cp README.md ../stockfish/
cp CONTRIBUTING.md ../stockfish/
- name: Create tar
if: runner.os != 'Windows'
run: |
tar -cvf stockfish-$NAME-$BINARY.tar stockfish
- name: Create zip
if: runner.os == 'Windows'
run: |
zip -r stockfish-$NAME-$BINARY.zip stockfish
- name: Release
if: startsWith(github.ref_name, 'sf_') && github.ref_type == 'tag'
uses: softprops/action-gh-release@4634c16e79c963813287e889244c50009e7f0981
with:
files: stockfish-${{ matrix.config.simple_name }}-${{ matrix.binaries }}.${{ matrix.config.archive_ext }}
- name: Get last commit sha
id: last_commit
run: echo "COMMIT_SHA=$(git rev-parse HEAD | cut -c 1-8)" >> $GITHUB_ENV
- name: Get commit date
id: commit_date
run: echo "COMMIT_DATE=$(git show -s --date=format:'%Y%m%d' --format=%cd HEAD)" >> $GITHUB_ENV
# Make sure that an old ci that still runs on master doesn't recreate a prerelease
- name: Check Pullable Commits
id: check_commits
run: |
git fetch
CHANGES=$(git rev-list HEAD..origin/master --count)
echo "CHANGES=$CHANGES" >> $GITHUB_ENV
- name: Prerelease
if: github.ref_name == 'master' && env.CHANGES == '0'
continue-on-error: true
uses: softprops/action-gh-release@de2c0eb89ae2a093876385947365aca7b0e5f844 # @v1
with:
name: Stockfish dev-${{ env.COMMIT_DATE }}-${{ env.COMMIT_SHA }}
tag_name: stockfish-dev-${{ env.COMMIT_DATE }}-${{ env.COMMIT_SHA }}
prerelease: true
files: stockfish-${{ matrix.config.simple_name }}-${{ matrix.binaries }}.${{ matrix.config.archive_ext }}
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@@ -1,12 +0,0 @@
# Files from build
**/*.o
**/*.s
src/.depend
# Built binary
src/stockfish*
src/-lstdc++.res
# Neural network for the NNUE evaluation
**/*.nnue
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@@ -0,0 +1,80 @@
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:
# 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
#
# Verify bench number against various builds
- export CXXFLAGS="-Werror -D_GLIBCXX_DEBUG"
- make clean && make -j2 ARCH=x86-64 optimize=no debug=yes build && ../tests/signature.sh $benchref
- if [[ "$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 build && ../tests/signature.sh $benchref; fi
#
# Check perft and reproducible search
- export CXXFLAGS="-Werror"
- make clean && make -j2 ARCH=x86-64 build
- ../tests/perft.sh
- ../tests/reprosearch.sh
#
# Valgrind
#
- export CXXFLAGS="-O1 -fno-inline"
- if [ -x "$(command -v valgrind )" ]; then make clean && make -j2 ARCH=x86-64 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 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 sanitize=thread optimize=no debug=yes build > /dev/null && ../tests/instrumented.sh --sanitizer-thread; fi
+24 -86
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@@ -1,133 +1,99 @@
# Founders of the Stockfish project and Fishtest infrastructure
# List of authors for Stockfish, as of August 4, 2020
# Founders of the Stockfish project and fishtest infrastructure
Tord Romstad (romstad)
Marco Costalba (mcostalba)
Joona Kiiski (zamar)
Gary Linscott (glinscott)
# Authors and inventors of NNUE, training, and NNUE port
# Authors and inventors of NNUE, training, NNUE port
Yu Nasu (ynasu87)
Motohiro Isozaki (yaneurao)
Hisayori Noda (nodchip)
# All other authors of Stockfish code (in alphabetical order)
# all other authors of the code in alphabetical order
Aditya (absimaldata)
Adrian Petrescu (apetresc)
Ahmed Kerimov (wcdbmv)
Ajith Chandy Jose (ajithcj)
Alain Savard (Rocky640)
Alayan Feh (Alayan-stk-2)
Alexander Kure
Alexander Pagel (Lolligerhans)
Alfredo Menezes (lonfom169)
Ali AlZhrani (Cooffe)
Andreas Matthies (Matthies)
Andrei Vetrov (proukornew)
Andrew Grant (AndyGrant)
Andrey Neporada (nepal)
Andy Duplain
Antoine Champion (antoinechampion)
Aram Tumanian (atumanian)
Arjun Temurnikar
Artem Solopiy (EntityFX)
Auguste Pop
Balazs Szilagyi
Balint Pfliegel
Ben Chaney (Chaneybenjamini)
Ben Koshy (BKSpurgeon)
Bill Henry (VoyagerOne)
Bojun Guo (noobpwnftw, Nooby)
borg323
Boštjan Mejak (PedanticHacker)
braich
Brian Sheppard (SapphireBrand, briansheppard-toast)
Bruno de Melo Costa (BM123499)
Bruno Pellanda (pellanda)
Bryan Cross (crossbr)
candirufish
Chess13234
Chris Cain (ceebo)
clefrks
Clemens L. (rn5f107s2)
Cody Ho (aesrentai)
Dale Weiler (graphitemaster)
Dan Schmidt (dfannius)
Daniel Axtens (daxtens)
Daniel Dugovic (ddugovic)
Daniel Monroe (Ergodice)
Dan Schmidt (dfannius)
Dariusz Orzechowski (dorzechowski)
David (dav1312)
Dariusz Orzechowski
David Zar
Daylen Yang (daylen)
Deshawn Mohan-Smith (GoldenRare)
Dieter Dobbelaere (ddobbelaere)
DiscanX
Dominik Schlösser (domschl)
double-beep
Douglas Matos Gomes (dsmsgms)
Dubslow
Eduardo Cáceres (eduherminio)
Eelco de Groot (KingDefender)
Elvin Liu (solarlight2)
erbsenzaehler
Ernesto Gatti
Linmiao Xu (linrock)
Fabian Beuke (madnight)
Fabian Fichter (ianfab)
Fanael Linithien (Fanael)
fanon
Fauzi Akram Dabat (fauzi2)
Fauzi Akram Dabat (FauziAkram)
Felix Wittmann
gamander
Gabriele Lombardo (gabe)
Gahtan Nahdi
Gary Heckman (gheckman)
George Sobala (gsobala)
gguliash
Giacomo Lorenzetti (G-Lorenz)
Gian-Carlo Pascutto (gcp)
Goh CJ (cj5716)
Gontran Lemaire (gonlem)
Goodkov Vasiliy Aleksandrovich (goodkov)
Gregor Cramer
GuardianRM
Guy Vreuls (gvreuls)
Günther Demetz (pb00067, pb00068)
Guy Vreuls (gvreuls)
Henri Wiechers
Hiraoka Takuya (HiraokaTakuya)
homoSapiensSapiens
Hongzhi Cheng
Ivan Ivec (IIvec)
Jacques B. (Timshel)
Jake Senne (w1wwwwww)
Jan Ondruš (hxim)
Jared Kish (Kurtbusch, kurt22i)
Jared Kish (Kurtbusch)
Jarrod Torriero (DU-jdto)
Jasper Shovelton (Beanie496)
Jean-Francois Romang (jromang)
Jean Gauthier (OuaisBla)
Jean-Francois Romang (jromang)
Jekaa
Jerry Donald Watson (jerrydonaldwatson)
jjoshua2
Jonathan Buladas Dumale (SFisGOD)
Jonathan Calovski (Mysseno)
Jonathan McDermid (jonathanmcdermid)
Jonathan Dumale (SFisGOD)
Joost VandeVondele (vondele)
Jörg Oster (joergoster)
Joseph Ellis (jhellis3)
Joseph R. Prostko
Jörg Oster (joergoster)
Julian Willemer (NightlyKing)
jundery
Justin Blanchard (UncombedCoconut)
Kelly Wilson
Ken Takusagawa
Kian E (KJE-98)
kinderchocolate
Kiran Panditrao (Krgp)
Kojirion
Krystian Kuzniarek (kuzkry)
Leonardo Ljubičić (ICCF World Champion)
Leonid Pechenik (lp--)
Liam Keegan (lkeegan)
Linmiao Xu (linrock)
Linus Arver (listx)
loco-loco
Lub van den Berg (ElbertoOne)
@@ -138,12 +104,8 @@ Maciej Żenczykowski (zenczykowski)
Malcolm Campbell (xoto10)
Mark Tenzer (31m059)
marotear
Matt Ginsberg (mattginsberg)
Matthew Lai (matthewlai)
Matthew Sullivan (Matt14916)
Max A. (Disservin)
Maxim Masiutin (maximmasiutin)
Maxim Molchanov (Maxim)
Michael An (man)
Michael Byrne (MichaelB7)
Michael Chaly (Vizvezdenec)
@@ -152,90 +114,66 @@ Michael Whiteley (protonspring)
Michel Van den Bergh (vdbergh)
Miguel Lahoz (miguel-l)
Mikael Bäckman (mbootsector)
Mike Babigian (Farseer)
Mira
Miroslav Fontán (Hexik)
Moez Jellouli (MJZ1977)
Mohammed Li (tthsqe12)
Muzhen J (XInTheDark)
Nathan Rugg (nmrugg)
Nguyen Pham (nguyenpham)
Nicklas Persson (NicklasPersson)
Nick Pelling (nickpelling)
Nicklas Persson (NicklasPersson)
Niklas Fiekas (niklasf)
Nikolay Kostov (NikolayIT)
Nguyen Pham (nguyenpham)
Norman Schmidt (FireFather)
notruck
Ofek Shochat (OfekShochat, ghostway)
Ondrej Mosnáček (WOnder93)
Ondřej Mišina (AndrovT)
Oskar Werkelin Ahlin
Pablo Vazquez
Panthee
Pascal Romaret
Pasquale Pigazzini (ppigazzini)
Patrick Jansen (mibere)
Peter Schneider (pschneider1968)
pellanda
Peter Zsifkovits (CoffeeOne)
PikaCat
Praveen Kumar Tummala (praveentml)
Prokop Randáček (ProkopRandacek)
Rahul Dsilva (silversolver1)
Ralph Stößer (Ralph Stoesser)
Raminder Singh
renouve
Reuven Peleg (R-Peleg)
Richard Lloyd (Richard-Lloyd)
Robert Nürnberg (robertnurnberg)
Reuven Peleg
Richard Lloyd
Rodrigo Exterckötter Tjäder
Rodrigo Roim (roim)
Ronald de Man (syzygy1, syzygy)
Ron Britvich (Britvich)
Ronald de Man (syzygy1, syzygy)
rqs
Rui Coelho (ruicoelhopedro)
Ryan Schmitt
Ryan Takker
Sami Kiminki (skiminki)
Sebastian Buchwald (UniQP)
Sergei Antonov (saproj)
Sergei Ivanov (svivanov72)
Sergio Vieri (sergiovieri)
sf-x
Shahin M. Shahin (peregrine)
Shane Booth (shane31)
Shawn Varghese (xXH4CKST3RXx)
Siad Daboul (Topologist)
Stefan Geschwentner (locutus2)
Stefano Cardanobile (Stefano80)
Stefano Di Martino (StefanoD)
Steinar Gunderson (sesse)
Stéphane Nicolet (snicolet)
Stephen Touset (stouset)
Syine Mineta (MinetaS)
Taras Vuk (TarasVuk)
Thanar2
thaspel
theo77186
TierynnB
Ting-Hsuan Huang (fffelix-huang)
Tobias Steinmann
Tomasz Sobczyk (Sopel97)
Tom Truscott
Tom Vijlbrief (tomtor)
Tomasz Sobczyk (Sopel97)
Torsten Franz (torfranz, tfranzer)
Torsten Hellwig (Torom)
Tracey Emery (basepr1me)
tttak
Unai Corzo (unaiic)
Uri Blass (uriblass)
Vince Negri (cuddlestmonkey)
Viren
windfishballad
xefoci7612
Xiang Wang (KatyushaScarlet)
zz4032
# Additionally, we acknowledge the authors and maintainers of fishtest,
# an amazing and essential framework for Stockfish development!
# an amazing and essential framework for the development of Stockfish!
#
# https://github.com/official-stockfish/fishtest/blob/master/AUTHORS
# https://github.com/glinscott/fishtest/blob/master/AUTHORS
-23
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@@ -1,23 +0,0 @@
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Stockfish
message: >-
Please cite this software using the metadata from this
file.
type: software
authors:
- name: The Stockfish developers (see AUTHORS file)
repository-code: 'https://github.com/official-stockfish/Stockfish'
url: 'https://stockfishchess.org/'
repository-artifact: 'https://stockfishchess.org/download/'
abstract: Stockfish is a free and strong UCI chess engine.
keywords:
- chess
- artificial intelligence (AI)
- tree search
- alpha-beta search
- neural networks (NN)
- efficiently updatable neural networks (NNUE)
license: GPL-3.0
-97
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@@ -1,97 +0,0 @@
# Contributing to Stockfish
Welcome to the Stockfish project! We are excited that you are interested in
contributing. This document outlines the guidelines and steps to follow when
making contributions to Stockfish.
## Table of Contents
- [Building Stockfish](#building-stockfish)
- [Making Contributions](#making-contributions)
- [Reporting Issues](#reporting-issues)
- [Submitting Pull Requests](#submitting-pull-requests)
- [Code Style](#code-style)
- [Community and Communication](#community-and-communication)
- [License](#license)
## Building Stockfish
In case you do not have a C++ compiler installed, you can follow the
instructions from our wiki.
- [Ubuntu][ubuntu-compiling-link]
- [Windows][windows-compiling-link]
- [macOS][macos-compiling-link]
## Making Contributions
### Reporting Issues
If you find a bug, please open an issue on the
[issue tracker][issue-tracker-link]. Be sure to include relevant information
like your operating system, build environment, and a detailed description of the
problem.
_Please note that Stockfish's development is not focused on adding new features.
Thus any issue regarding missing features will potentially be closed without
further discussion._
### Submitting Pull Requests
- Functional changes need to be tested on fishtest. See
[Creating my First Test][creating-my-first-test] for more details.
The accompanying pull request should include a link to the test results and
the new bench.
- Non-functional changes (e.g. refactoring, code style, documentation) do not
need to be tested on fishtest, unless they might impact performance.
- Provide a clear and concise description of the changes in the pull request
description.
_First time contributors should add their name to [AUTHORS](../AUTHORS)._
_Stockfish's development is not focused on adding new features. Thus any pull
request introducing new features will potentially be closed without further
discussion._
## Code Style
Changes to Stockfish C++ code should respect our coding style defined by
[.clang-format](.clang-format). You can format your changes by running
`make format`. This requires clang-format version 17 to be installed on your system.
## Navigate
For experienced Git users who frequently use git blame, it is recommended to
configure the blame.ignoreRevsFile setting.
This setting is useful for excluding noisy formatting commits.
```bash
git config blame.ignoreRevsFile .git-blame-ignore-revs
```
## Community and Communication
- Join the [Stockfish discord][discord-link] to discuss ideas, issues, and
development.
- Participate in the [Stockfish GitHub discussions][discussions-link] for
broader conversations.
## License
By contributing to Stockfish, you agree that your contributions will be licensed
under the GNU General Public License v3.0. See [Copying.txt][copying-link] for
more details.
Thank you for contributing to Stockfish and helping us make it even better!
[copying-link]: https://github.com/official-stockfish/Stockfish/blob/master/Copying.txt
[discord-link]: https://discord.gg/GWDRS3kU6R
[discussions-link]: https://github.com/official-stockfish/Stockfish/discussions/new
[creating-my-first-test]: https://github.com/official-stockfish/fishtest/wiki/Creating-my-first-test#create-your-test
[issue-tracker-link]: https://github.com/official-stockfish/Stockfish/issues
[ubuntu-compiling-link]: https://github.com/official-stockfish/Stockfish/wiki/Developers#user-content-installing-a-compiler-1
[windows-compiling-link]: https://github.com/official-stockfish/Stockfish/wiki/Developers#user-content-installing-a-compiler
[macos-compiling-link]: https://github.com/official-stockfish/Stockfish/wiki/Developers#user-content-installing-a-compiler-2
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<div align="center">
[![Stockfish][stockfish128-logo]][website-link]
<h3>Stockfish</h3>
A free and strong UCI chess engine.
<br>
<strong>[Explore Stockfish docs »][wiki-link]</strong>
<br>
<br>
[Report bug][issue-link]
·
[Open a discussion][discussions-link]
·
[Discord][discord-link]
·
[Blog][website-blog-link]
[![Build][build-badge]][build-link]
[![License][license-badge]][license-link]
<br>
[![Release][release-badge]][release-link]
[![Commits][commits-badge]][commits-link]
<br>
[![Website][website-badge]][website-link]
[![Fishtest][fishtest-badge]][fishtest-link]
[![Discord][discord-badge]][discord-link]
</div>
## Overview
[Stockfish][website-link] is a **free and strong UCI chess engine** derived from
Glaurung 2.1 that analyzes chess positions and computes the optimal moves.
[![Build Status](https://travis-ci.org/official-stockfish/Stockfish.svg?branch=master)](https://travis-ci.org/official-stockfish/Stockfish)
[![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 **does not include a graphical user interface** (GUI) that is required
to display a chessboard and to make it easy to input moves. These GUIs are
developed independently from Stockfish and are available online. **Read the
documentation for your GUI** of choice for information about how to use
[Stockfish](https://stockfishchess.org) is a free, powerful UCI chess engine
derived from Glaurung 2.1. It features two evaluation functions, the classical
evaluation based on handcrafted terms, and the NNUE evaluation based on
efficiently updateable neural networks. The classical evaluation runs efficiently
on most 64bit CPU architectures, while the NNUE evaluation benefits strongly from the
vector intrinsics available on modern CPUs (avx2 or similar).
Stockfish is not a complete chess program and requires a
UCI-compatible GUI (e.g. XBoard with PolyGlot, Scid, Cute Chess, eboard, Arena,
Sigma Chess, Shredder, Chess Partner or Fritz) in order to be used comfortably.
Read the documentation for your GUI of choice for information about how to use
Stockfish with it.
See also the Stockfish [documentation][wiki-usage-link] for further usage help.
## Files
This distribution of Stockfish consists of the following files:
* [README.md][readme-link], the file you are currently reading.
* Readme.md, the file you are currently reading.
* [Copying.txt][license-link], a text file containing the GNU General Public
License version 3.
* Copying.txt, a text file containing the GNU General Public License version 3.
* [AUTHORS][authors-link], a text file with the list of authors for the project.
* src, a subdirectory containing the full source code, including a Makefile
that can be used to compile Stockfish on Unix-like systems.
* [src][src-link], a subdirectory containing the full source code, including a
Makefile that can be used to compile Stockfish on Unix-like systems.
To use the NNUE evaluation an additional data file with neural network parameters
needs to be downloaded. The filename for the default set can be found as the default
value of the `EvalFile` UCI option, with the format
`nn-[SHA256 first 12 digits].nnue` (e.g. nn-c157e0a5755b.nnue). This file can be downloaded from
```
https://tests.stockfishchess.org/api/nn/[filename]
```
replacing `[filename]` as needed.
* a file with the .nnue extension, storing the neural network for the NNUE
evaluation. Binary distributions will have this file embedded.
## Contributing
## UCI options
__See [Contributing Guide](CONTRIBUTING.md).__
Currently, Stockfish has the following UCI options:
* #### Threads
The number of CPU threads used for searching a position. For best performance, set
this equal to the number of CPU cores available.
* #### Hash
The size of the hash table in MB. It is recommended to set Hash after setting Threads.
* #### Ponder
Let Stockfish ponder its next move while the opponent is thinking.
* #### MultiPV
Output the N best lines (principal variations, PVs) when searching.
Leave at 1 for best performance.
* #### Use NNUE
Toggle between the NNUE and classical evaluation functions. If set to "true",
the network parameters must be availabe to load from file (see also EvalFile).
* #### EvalFile
The name of the file of the NNUE evaluation parameters. Depending on the GUI the
filename should include the full path to the folder/directory that contains the file.
* #### 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.
* #### UCI_AnalyseMode
An option handled by your GUI.
* #### UCI_Chess960
An option handled by your GUI. If true, Stockfish will play Chess960.
* #### UCI_ShowWDL
If enabled, show approximate WDL statistics as part of the engine output.
These WDL numbers model expected game outcomes for a given evaluation and
game ply for engine self-play at fishtest LTC conditions (60+0.6s per game).
* #### UCI_LimitStrength
Enable weaker play aiming for an Elo rating as set by UCI_Elo. This option overrides Skill Level.
* #### UCI_Elo
If enabled by UCI_LimitStrength, aim for an engine strength of the given Elo.
This Elo rating has been calibrated at a time control of 60s+0.6s and anchored to CCRL 40/4.
* #### Skill Level
Lower the Skill Level in order to make Stockfish play weaker (see also UCI_LimitStrength).
Internally, MultiPV is enabled, and with a certain probability depending on the Skill Level a
weaker move will be played.
* #### SyzygyPath
Path to the folders/directories storing the Syzygy tablebase files. Multiple
directories are to be separated by ";" on Windows and by ":" on Unix-based
operating systems. Do not use spaces around the ";" or ":".
Example: `C:\tablebases\wdl345;C:\tablebases\wdl6;D:\tablebases\dtz345;D:\tablebases\dtz6`
It is recommended to store .rtbw files on an SSD. There is no loss in storing
the .rtbz files on a regular HD. It is recommended to verify all md5 checksums
of the downloaded tablebase files (`md5sum -c checksum.md5`) as corruption will
lead to engine crashes.
* #### 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.
* #### Syzygy50MoveRule
Disable to let fifty-move rule draws detected by Syzygy tablebase probes count
as wins or losses. This is useful for ICCF correspondence games.
* #### SyzygyProbeLimit
Limit Syzygy tablebase probing to positions with at most this many pieces left
(including kings and pawns).
* #### 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.
* #### Slow Mover
Lower values will make Stockfish take less time in games, higher values will
make it think longer.
* #### nodestime
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.
## classical and 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.
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.
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).
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.
## What to expect from Syzygybases?
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.
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
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.**
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
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
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.
## Large Pages
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
automatic. Stockfish attempts to use large pages when available and
will fall back to regular memory allocation when this is not the case.
### Support on Linux
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.
### 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.
## Compiling Stockfish yourself from the sources
Stockfish has support for 32 or 64-bit CPUs, certain hardware
instructions, big-endian machines such as Power PC, and other platforms.
On Unix-like systems, it should be easy to compile Stockfish
directly from the source code with the included Makefile in the folder
`src`. In general it is recommended to run `make help` to see a list of make
targets with corresponding descriptions.
```
cd src
make help
make build ARCH=x86-64-modern
```
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:
```
./stockfish
compiler
```
## 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.
### Donating hardware
Improving Stockfish requires a massive amount of testing. You can donate your
hardware resources by installing the [Fishtest Worker][worker-link] and viewing
the current tests on [Fishtest][fishtest-link].
Improving Stockfish requires a massive amount of testing. You can donate
your hardware resources by installing the [Fishtest Worker](https://github.com/glinscott/fishtest/wiki/Running-the-worker:-overview)
and view the current tests on [Fishtest](https://tests.stockfishchess.org/tests).
### Improving the code
In the [chessprogramming wiki][programming-link], many techniques used in
Stockfish are explained with a lot of background information.
The [section on Stockfish][programmingsf-link] describes many features
and techniques used by Stockfish. However, it is generic rather than
focused on Stockfish's precise implementation.
If you want to help improve the code, there are several valuable resources:
The engine testing is done on [Fishtest][fishtest-link].
If you want to help improve Stockfish, please read this [guideline][guideline-link]
* [In this wiki,](https://www.chessprogramming.org) many techniques used in
Stockfish are explained with a lot of background information.
* [The section on Stockfish](https://www.chessprogramming.org/Stockfish)
describes many features and techniques used by Stockfish. However, it is
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).
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.
Discussions about Stockfish take place these days mainly in the Stockfish
[Discord server][discord-link]. This is also the best place to ask questions
about the codebase and how to improve it.
## Compiling Stockfish
Stockfish has support for 32 or 64-bit CPUs, certain hardware instructions,
big-endian machines such as Power PC, and other platforms.
On Unix-like systems, it should be easy to compile Stockfish directly from the
source code with the included Makefile in the folder `src`. In general, it is
recommended to run `make help` to see a list of make targets with corresponding
descriptions. An example suitable for most Intel and AMD chips:
```
cd src
make -j profile-build ARCH=x86-64-avx2
```
Detailed compilation instructions for all platforms can be found in our
[documentation][wiki-compile-link]. Our wiki also has information about
the [UCI commands][wiki-uci-link] supported by Stockfish.
## Terms of use
Stockfish is free and distributed under the
[**GNU General Public License version 3**][license-link] (GPL v3). Essentially,
this means you are free to do almost exactly what you want with the program,
including distributing it among your friends, making it available for download
from your website, selling it (either by itself or as part of some bigger
software package), or using it as the starting point for a software project of
your own.
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
what you want with the program, including distributing it among your
friends, making it available for download from your web site, selling
it (either by itself or as part of some bigger software package), or
using it as the starting point for a software project of your own.
The only real limitation is that whenever you distribute Stockfish in some way,
you MUST always include the license and the full source code (or a pointer to
where the source code can be found) to generate the exact binary you are
distributing. If you make any changes to the source code, these changes must
also be made available under GPL v3.
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.
[authors-link]: https://github.com/official-stockfish/Stockfish/blob/master/AUTHORS
[build-link]: https://github.com/official-stockfish/Stockfish/actions/workflows/stockfish.yml
[commits-link]: https://github.com/official-stockfish/Stockfish/commits/master
[discord-link]: https://discord.gg/GWDRS3kU6R
[issue-link]: https://github.com/official-stockfish/Stockfish/issues/new?assignees=&labels=&template=BUG-REPORT.yml
[discussions-link]: https://github.com/official-stockfish/Stockfish/discussions/new
[fishtest-link]: https://tests.stockfishchess.org/tests
[guideline-link]: https://github.com/official-stockfish/fishtest/wiki/Creating-my-first-test
[license-link]: https://github.com/official-stockfish/Stockfish/blob/master/Copying.txt
[programming-link]: https://www.chessprogramming.org/Main_Page
[programmingsf-link]: https://www.chessprogramming.org/Stockfish
[readme-link]: https://github.com/official-stockfish/Stockfish/blob/master/README.md
[release-link]: https://github.com/official-stockfish/Stockfish/releases/latest
[src-link]: https://github.com/official-stockfish/Stockfish/tree/master/src
[stockfish128-logo]: https://stockfishchess.org/images/logo/icon_128x128.png
[uci-link]: https://backscattering.de/chess/uci/
[website-link]: https://stockfishchess.org
[website-blog-link]: https://stockfishchess.org/blog/
[wiki-link]: https://github.com/official-stockfish/Stockfish/wiki
[wiki-compile-link]: https://github.com/official-stockfish/Stockfish/wiki/Compiling-from-source
[wiki-uci-link]: https://github.com/official-stockfish/Stockfish/wiki/UCI-&-Commands
[wiki-usage-link]: https://github.com/official-stockfish/Stockfish/wiki/Download-and-usage
[worker-link]: https://github.com/official-stockfish/fishtest/wiki/Running-the-worker
[build-badge]: https://img.shields.io/github/actions/workflow/status/official-stockfish/Stockfish/stockfish.yml?branch=master&style=for-the-badge&label=stockfish&logo=github
[commits-badge]: https://img.shields.io/github/commits-since/official-stockfish/Stockfish/latest?style=for-the-badge
[discord-badge]: https://img.shields.io/discord/435943710472011776?style=for-the-badge&label=discord&logo=Discord
[fishtest-badge]: https://img.shields.io/website?style=for-the-badge&down_color=red&down_message=Offline&label=Fishtest&up_color=success&up_message=Online&url=https%3A%2F%2Ftests.stockfishchess.org%2Ftests%2Ffinished
[license-badge]: https://img.shields.io/github/license/official-stockfish/Stockfish?style=for-the-badge&label=license&color=success
[release-badge]: https://img.shields.io/github/v/release/official-stockfish/Stockfish?style=for-the-badge&label=official%20release
[website-badge]: https://img.shields.io/website?style=for-the-badge&down_color=red&down_message=Offline&label=website&up_color=success&up_message=Online&url=https%3A%2F%2Fstockfishchess.org
For full details, read the copy of the GPL v3 found in the file named
*Copying.txt*.
+152 -284
View File
@@ -1,286 +1,154 @@
Contributors to Fishtest with >10,000 CPU hours, as of 2024-02-24.
Contributors with >10,000 CPU hours as of January 7, 2020
Thank you!
Username CPU Hours Games played
------------------------------------------------------------------
noobpwnftw 39302472 3055513453
technologov 20845762 994893444
linrock 8616428 560281417
mlang 3026000 200065824
okrout 2332151 222639518
pemo 1800019 60274069
dew 1689162 100033738
TueRens 1474943 75121774
grandphish2 1463002 91616949
JojoM 1109702 72927902
olafm 978631 71037944
sebastronomy 939955 44920556
tvijlbrief 796125 51897690
gvreuls 711320 49142318
mibere 703840 46867607
oz 646268 46293638
rpngn 572571 38928563
leszek 531858 39316505
cw 518116 34894291
fastgm 503862 30260818
CSU_Dynasty 468784 31385034
ctoks 434591 28520597
maximmasiutin 429983 27066286
crunchy 427414 27371625
bcross 415724 29061187
velislav 342588 22140902
mgrabiak 338763 23999170
Fisherman 327231 21829379
robal 299836 20213182
Dantist 296386 18031762
ncfish1 267604 17881149
nordlandia 249322 16420192
marrco 234581 17714473
tolkki963 233490 19773930
glinscott 208125 13277240
drabel 204167 13930674
mhoram 202894 12601997
bking_US 198894 11876016
Calis007 188631 12795784
Thanar 179852 12365359
Fifis 176209 10638245
vdv 175544 9904472
spams 157128 10319326
DesolatedDodo 156659 10210328
armo9494 155355 10566898
sqrt2 147963 9724586
jcAEie 140086 10603658
vdbergh 139746 9172061
CoffeeOne 137100 5024116
malala 136182 8002293
xoto 133759 9159372
davar 129023 8376525
DMBK 122960 8980062
dsmith 122059 7570238
javran 121564 10144656
amicic 119661 7938029
sschnee 118107 7389266
Wolfgang 114616 8070494
Data 113305 8220352
BrunoBanani 112960 7436849
Wencey 111502 5991676
cuistot 108503 7006992
CypressChess 108331 7759788
skiminki 107583 7218170
MaZePallas 102823 6633619
sterni1971 100532 5880772
sunu 100167 7040199
zeryl 99331 6221261
thirdlife 99156 2245320
ElbertoOne 99028 7023771
Dubslow 98600 6903242
markkulix 97010 7643900
bigpen0r 94809 6529203
brabos 92118 6186135
Maxim 90818 3283364
psk 89957 5984901
megaman7de 88822 6052132
racerschmacer 85805 6122790
maposora 85710 7778146
Vizvezdenec 83761 5344740
0x3C33 82614 5271253
BRAVONE 81239 5054681
nssy 76497 5259388
jromang 76106 5236025
teddybaer 75125 5407666
Pking_cda 73776 5293873
yurikvelo 73516 5036928
MarcusTullius 71053 4803477
Bobo1239 70579 4794999
solarlight 70517 5028306
dv8silencer 70287 3883992
Spprtr 69646 4806763
Mineta 66325 4537742
manap 66273 4121774
szupaw 65468 5669742
tinker 64333 4268790
qurashee 61208 3429862
woutboat 59496 4906352
AGI 58195 4329580
robnjr 57262 4053117
Freja 56938 3733019
MaxKlaxxMiner 56879 3423958
ttruscott 56010 3680085
rkl 55132 4164467
jmdana 54697 4012593
renouve 53811 3501516
notchris 52433 4044590
finfish 51360 3370515
eva42 51272 3599691
eastorwest 51117 3454811
Goatminola 51004 4432492
rap 49985 3219146
pb00067 49733 3298934
GPUex 48686 3684998
OuaisBla 48626 3445134
ronaldjerum 47654 3240695
biffhero 46564 3111352
oryx 45533 3539290
VoyagerOne 45476 3452465
speedycpu 43842 3003273
jbwiebe 43305 2805433
Antihistamine 41788 2761312
mhunt 41735 2691355
homyur 39893 2850481
gri 39871 2515779
Garf 37741 2999686
SC 37299 2731694
Sylvain27 36520 1467082
csnodgrass 36207 2688994
Gaster319 35655 3149442
strelock 34716 2074055
EthanOConnor 33370 2090311
slakovv 32915 2021889
gopeto 31884 2076712
Gelma 31771 1551204
kdave 31157 2198362
manapbk 30987 1810399
ZacHFX 30551 2238078
Prcuvu 30377 2170122
anst 30301 2190091
jkiiski 30136 1904470
spcc 29925 1901692
hyperbolic.tom 29840 2017394
chuckstablers 29659 2093438
Pyafue 29650 1902349
belzedar94 28846 1811530
votoanthuan 27978 2285818
shawnxu 27438 2465810
chriswk 26902 1868317
xwziegtm 26897 2124586
achambord 26582 1767323
Patrick_G 26276 1801617
yorkman 26193 1992080
Ulysses 25397 1701264
Jopo12321 25227 1652482
SFTUser 25182 1675689
nabildanial 25068 1531665
Sharaf_DG 24765 1786697
rodneyc 24376 1416402
jsys14 24297 1721230
agg177 23890 1395014
srowen 23842 1342508
Ente 23752 1678188
jojo2357 23479 2061238
JanErik 23408 1703875
Isidor 23388 1680691
Norabor 23371 1603244
cisco2015 22920 1763301
Zirie 22542 1472937
Nullvalue 22490 1970374
AndreasKrug 22485 1769491
team-oh 22272 1636708
Roady 22220 1465606
MazeOfGalious 21978 1629593
sg4032 21947 1643353
ianh2105 21725 1632562
xor12 21628 1680365
dex 21612 1467203
nesoneg 21494 1463031
user213718 21454 1404128
sphinx 21211 1384728
qoo_charly_cai 21135 1514907
jjoshua2 21001 1423089
Zake9298 20938 1565848
horst.prack 20878 1465656
0xB00B1ES 20590 1208666
Serpensin 20487 1729674
Dinde 20440 1292390
j3corre 20405 941444
Adrian.Schmidt123 20316 1281436
wei 19973 1745989
fishtester 19617 1257388
rstoesser 19569 1293588
eudhan 19274 1283717
vulcan 18871 1729392
Karpovbot 18766 1053178
WoodMan777 18556 1628264
jundery 18445 1115855
ville 17883 1384026
chris 17698 1487385
purplefishies 17595 1092533
dju 17414 981289
ols 17291 1042003
iisiraider 17275 1049015
Skiff84 17111 950248
DragonLord 17014 1162790
redstone59 16842 1461780
Karby 16839 1010124
Alb11747 16787 1213990
pirt 16493 1237199
Naven94 16414 951718
wizardassassin 16392 1148672
IgorLeMasson 16064 1147232
scuzzi 15757 968735
ako027ako 15671 1173203
Nikolay.IT 15154 1068349
Andrew Grant 15114 895539
OssumOpossum 14857 1007129
LunaticBFF57 14525 1190310
enedene 14476 905279
IslandLambda 14393 958196
bpfliegel 14233 882523
YELNAMRON 14230 1128094
mpx86 14019 759568
jpulman 13982 870599
getraideBFF 13871 1172846
Nesa92 13806 1116101
crocogoat 13803 1117422
joster 13710 946160
mbeier 13650 1044928
Hjax 13535 915487
Dark_wizzie 13422 1007152
Rudolphous 13244 883140
Machariel 13010 863104
infinigon 12991 943216
mabichito 12903 749391
thijsk 12886 722107
AdrianSA 12860 804972
Flopzee 12698 894821
mschmidt 12644 863193
korposzczur 12606 838168
tsim67 12570 890180
Jackfish 12553 836958
fatmurphy 12547 853210
Oakwen 12503 853105
SapphireBrand 12416 969604
deflectooor 12386 579392
modolief 12386 896470
TataneSan 12358 609332
Farseer 12249 694108
pgontarz 12151 848794
dbernier 12103 860824
FormazChar 11989 907809
stocky 11954 699440
somethingintheshadows 11940 989472
MooTheCow 11892 776126
3cho 11842 1036786
whelanh 11557 245188
infinity 11470 727027
aga 11412 695127
torbjo 11395 729145
Thomas A. Anderson 11372 732094
savage84 11358 670860
d64 11263 789184
ali-al-zhrani 11245 779246
ckaz 11170 680866
snicolet 11106 869170
dapper 11032 771402
Ethnikoi 10993 945906
Snuuka 10938 435504
Karmatron 10859 678058
basepi 10637 744851
jibarbosa 10628 857100
Cubox 10621 826448
mecevdimitar 10609 787318
michaelrpg 10509 739239
Def9Infinity 10427 686978
OIVAS7572 10420 995586
wxt9861 10412 1013864
Garruk 10365 706465
dzjp 10343 732529
Username CPU Hours Games played
--------------------------------------------------
noobpwnftw 9305707 695548021
mlang 780050 61648867
dew 621626 43921547
mibere 524702 42238645
crunchy 354587 27344275
cw 354495 27274181
fastgm 332801 22804359
JojoM 295750 20437451
CSU_Dynasty 262015 21828122
Fisherman 232181 18939229
ctoks 218866 17622052
glinscott 201989 13780820
tvijlbrief 201204 15337115
velislav 188630 14348485
gvreuls 187164 15149976
bking_US 180289 11876016
nordlandia 172076 13467830
leszek 157152 11443978
Thanar 148021 12365359
spams 141975 10319326
drabel 138073 11121749
vdv 137850 9394330
mgrabiak 133578 10454324
TueRens 132485 10878471
bcross 129683 11557084
marrco 126078 9356740
sqrt2 125830 9724586
robal 122873 9593418
vdbergh 120766 8926915
malala 115926 8002293
CoffeeOne 114241 5004100
dsmith 113189 7570238
BrunoBanani 104644 7436849
Data 92328 8220352
mhoram 89333 6695109
davar 87924 7009424
xoto 81094 6869316
ElbertoOne 80899 7023771
grandphish2 78067 6160199
brabos 77212 6186135
psk 75733 5984901
BRAVONE 73875 5054681
sunu 70771 5597972
sterni1971 70605 5590573
MaZePallas 66886 5188978
Vizvezdenec 63708 4967313
nssy 63462 5259388
jromang 61634 4940891
teddybaer 61231 5407666
Pking_cda 60099 5293873
solarlight 57469 5028306
dv8silencer 56913 3883992
tinker 54936 4086118
renouve 49732 3501516
Freja 49543 3733019
robnjr 46972 4053117
rap 46563 3219146
Bobo1239 46036 3817196
ttruscott 45304 3649765
racerschmacer 44881 3975413
finfish 44764 3370515
eva42 41783 3599691
biffhero 40263 3111352
bigpen0r 39817 3291647
mhunt 38871 2691355
ronaldjerum 38820 3240695
Antihistamine 38785 2761312
pb00067 38038 3086320
speedycpu 37591 3003273
rkl 37207 3289580
VoyagerOne 37050 3441673
jbwiebe 35320 2805433
cuistot 34191 2146279
homyur 33927 2850481
manap 32873 2327384
gri 32538 2515779
oryx 31267 2899051
EthanOConnor 30959 2090311
SC 30832 2730764
csnodgrass 29505 2688994
jmdana 29458 2205261
strelock 28219 2067805
jkiiski 27832 1904470
Pyafue 27533 1902349
Garf 27515 2747562
eastorwest 27421 2317535
slakovv 26903 2021889
Prcuvu 24835 2170122
anst 24714 2190091
hyperbolic.tom 24319 2017394
Patrick_G 23687 1801617
Sharaf_DG 22896 1786697
nabildanial 22195 1519409
chriswk 21931 1868317
achambord 21665 1767323
Zirie 20887 1472937
team-oh 20217 1636708
Isidor 20096 1680691
ncfish1 19931 1520927
nesoneg 19875 1463031
Spprtr 19853 1548165
JanErik 19849 1703875
agg177 19478 1395014
SFTUser 19231 1567999
xor12 19017 1680165
sg4032 18431 1641865
rstoesser 18118 1293588
MazeOfGalious 17917 1629593
j3corre 17743 941444
cisco2015 17725 1690126
ianh2105 17706 1632562
dex 17678 1467203
jundery 17194 1115855
iisiraider 17019 1101015
horst.prack 17012 1465656
Adrian.Schmidt123 16563 1281436
purplefishies 16342 1092533
wei 16274 1745989
ville 16144 1384026
eudhan 15712 1283717
OuaisBla 15581 972000
DragonLord 15559 1162790
dju 14716 875569
chris 14479 1487385
0xB00B1ES 14079 1001120
OssumOpossum 13776 1007129
enedene 13460 905279
bpfliegel 13346 884523
Ente 13198 1156722
IgorLeMasson 13087 1147232
jpulman 13000 870599
ako027ako 12775 1173203
Nikolay.IT 12352 1068349
Andrew Grant 12327 895539
joster 12008 950160
AdrianSA 11996 804972
Nesa92 11455 1111993
fatmurphy 11345 853210
Dark_wizzie 11108 1007152
modolief 10869 896470
mschmidt 10757 803401
infinity 10594 727027
mabichito 10524 749391
Thomas A. Anderson 10474 732094
thijsk 10431 719357
Flopzee 10339 894821
crocogoat 10104 1013854
SapphireBrand 10104 969604
stocky 10017 699440
+75
View File
@@ -0,0 +1,75 @@
version: 1.0.{build}
clone_depth: 50
branches:
only:
- master
- nnue-player-wip
# Operating system (build VM template)
os: Visual Studio 2019
# Build platform, i.e. x86, x64, AnyCPU. This setting is optional.
platform:
- x86
- x64
# build Configuration, i.e. Debug, Release, etc.
configuration:
- Debug
- Release
matrix:
# The build fail immediately once one of the job fails
fast_finish: true
# Scripts that are called at very beginning, before repo cloning
init:
- cmake --version
- msbuild /version
before_build:
- ps: |
# Get sources
$src = get-childitem -Path *.cpp -Recurse | select -ExpandProperty FullName
$src = $src -join ' '
$src = $src.Replace("\", "/")
# Build CMakeLists.txt
$t = 'cmake_minimum_required(VERSION 3.17)',
'project(Stockfish)',
'set(CMAKE_CXX_STANDARD 17)',
'set(CMAKE_CXX_STANDARD_REQUIRED ON)',
'set (CMAKE_CXX_EXTENSIONS OFF)',
'set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_SOURCE_DIR}/src)',
'set(source_files', $src, ')',
'add_executable(stockfish ${source_files})'
# Write CMakeLists.txt withouth BOM
$MyPath = (Get-Item -Path "." -Verbose).FullName + '\CMakeLists.txt'
$Utf8NoBomEncoding = New-Object System.Text.UTF8Encoding $False
[System.IO.File]::WriteAllLines($MyPath, $t, $Utf8NoBomEncoding)
# Obtain bench reference from git log
$b = git log HEAD | sls "\b[Bb]ench[ :]+[0-9]{7}" | select -first 1
$bench = $b -match '\D+(\d+)' | % { $matches[1] }
Write-Host "Reference bench:" $bench
$g = "Visual Studio 16 2019"
If (${env:PLATFORM} -eq 'x64') { $a = "x64" }
If (${env:PLATFORM} -eq 'x86') { $a = "Win32" }
cmake -G "${g}" -A ${a} .
Write-Host "Generated files for: " $g $a
build_script:
- cmake --build . --config %CONFIGURATION% -- /verbosity:minimal
before_test:
- cd src/%CONFIGURATION%
- stockfish bench 2> out.txt >NUL
- ps: |
# Verify bench number
$s = (gc "./out.txt" | out-string)
$r = ($s -match 'Nodes searched \D+(\d+)' | % { $matches[1] })
Write-Host "Engine bench:" $r
Write-Host "Reference bench:" $bench
If ($r -ne $bench) { exit 1 }
-120
View File
@@ -1,120 +0,0 @@
#!/bin/sh
#
# Returns properties of the native system.
# best architecture as supported by the CPU
# filename of the best binary uploaded as an artifact during CI
#
# Check if all the given flags are present in the CPU flags list
check_flags() {
for flag; do
printf '%s\n' "$flags" | grep -q -w "$flag" || return 1
done
}
# Set the CPU flags list
# remove underscores and points from flags, e.g. gcc uses avx512vnni, while some cpuinfo can have avx512_vnni, some systems use sse4_1 others sse4.1
get_flags() {
flags=$(awk '/^flags[ \t]*:|^Features[ \t]*:/{gsub(/^flags[ \t]*:[ \t]*|^Features[ \t]*:[ \t]*|[_.]/, ""); line=$0} END{print line}' /proc/cpuinfo)
}
# Check for gcc march "znver1" or "znver2" https://en.wikichip.org/wiki/amd/cpuid
check_znver_1_2() {
vendor_id=$(awk '/^vendor_id/{print $3; exit}' /proc/cpuinfo)
cpu_family=$(awk '/^cpu family/{print $4; exit}' /proc/cpuinfo)
[ "$vendor_id" = "AuthenticAMD" ] && [ "$cpu_family" = "23" ] && znver_1_2=true
}
# Set the file CPU x86_64 architecture
set_arch_x86_64() {
if check_flags 'avx512vnni' 'avx512dq' 'avx512f' 'avx512bw' 'avx512vl'; then
true_arch='x86-64-vnni256'
elif check_flags 'avx512f' 'avx512bw'; then
true_arch='x86-64-avx512'
elif [ -z "${znver_1_2+1}" ] && check_flags 'bmi2'; then
true_arch='x86-64-bmi2'
elif check_flags 'avx2'; then
true_arch='x86-64-avx2'
elif check_flags 'sse41' && check_flags 'popcnt'; then
true_arch='x86-64-sse41-popcnt'
else
true_arch='x86-64'
fi
}
# Check the system type
uname_s=$(uname -s)
uname_m=$(uname -m)
case $uname_s in
'Darwin') # Mac OSX system
case $uname_m in
'arm64')
true_arch='apple-silicon'
file_arch='x86-64-sse41-popcnt' # Supported by Rosetta 2
;;
'x86_64')
flags=$(sysctl -n machdep.cpu.features machdep.cpu.leaf7_features | tr '\n' ' ' | tr '[:upper:]' '[:lower:]' | tr -d '_.')
set_arch_x86_64
if [ "$true_arch" = 'x86-64-vnni256' ] || [ "$true_arch" = 'x86-64-avx512' ]; then
file_arch='x86-64-bmi2'
fi
;;
esac
file_os='macos'
file_ext='tar'
;;
'Linux') # Linux system
get_flags
case $uname_m in
'x86_64')
file_os='ubuntu'
check_znver_1_2
set_arch_x86_64
;;
'i686')
file_os='ubuntu'
true_arch='x86-32'
;;
'aarch64')
file_os='android'
true_arch='armv8'
if check_flags 'asimddp'; then
true_arch="$true_arch-dotprod"
fi
;;
'armv7'*)
file_os='android'
true_arch='armv7'
if check_flags 'neon'; then
true_arch="$true_arch-neon"
fi
;;
*) # Unsupported machine type, exit with error
printf 'Unsupported machine type: %s\n' "$uname_m"
exit 1
;;
esac
file_ext='tar'
;;
'CYGWIN'*|'MINGW'*|'MSYS'*) # Windows system with POSIX compatibility layer
get_flags
check_znver_1_2
set_arch_x86_64
file_os='windows'
file_ext='zip'
;;
*)
# Unknown system type, exit with error
printf 'Unsupported system type: %s\n' "$uname_s"
exit 1
;;
esac
if [ -z "$file_arch" ]; then
file_arch=$true_arch
fi
file_name="stockfish-$file_os-$file_arch.$file_ext"
printf '%s %s\n' "$true_arch" "$file_name"
+294 -664
View File
File diff suppressed because it is too large Load Diff
+57 -63
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -16,19 +16,18 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "benchmark.h"
#include <cstdlib>
#include <fstream>
#include <iostream>
#include <istream>
#include <vector>
#include "position.h"
using namespace std;
namespace {
// clang-format off
const std::vector<std::string> Defaults = {
const vector<string> Defaults = {
"setoption name UCI_Chess960 value false",
"rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR w KQkq - 0 1",
"r3k2r/p1ppqpb1/bn2pnp1/3PN3/1p2P3/2N2Q1p/PPPBBPPP/R3K2R w KQkq - 0 10",
@@ -88,78 +87,73 @@ const std::vector<std::string> Defaults = {
// Chess 960
"setoption name UCI_Chess960 value true",
"bbqnnrkr/pppppppp/8/8/8/8/PPPPPPPP/BBQNNRKR w HFhf - 0 1 moves g2g3 d7d5 d2d4 c8h3 c1g5 e8d6 g5e7 f7f6",
"nqbnrkrb/pppppppp/8/8/8/8/PPPPPPPP/NQBNRKRB w KQkq - 0 1",
"setoption name UCI_Chess960 value false"
};
// clang-format on
} // namespace
} // namespace
namespace Stockfish {
/// setup_bench() builds a list of UCI commands to be run by bench. There
/// are five parameters: TT size in MB, number of search threads that
/// should be used, the limit value spent for each position, a file name
/// where to look for positions in FEN format and the type of the limit:
/// depth, perft, nodes and movetime (in millisecs).
///
/// bench -> search default positions up to depth 13
/// bench 64 1 15 -> search default positions up to depth 15 (TT = 64MB)
/// bench 64 4 5000 current movetime -> search current position with 4 threads for 5 sec
/// bench 64 1 100000 default nodes -> search default positions for 100K nodes each
/// bench 16 1 5 default perft -> run a perft 5 on default positions
// Builds a list of UCI commands to be run by bench. There
// are five parameters: TT size in MB, number of search threads that
// should be used, the limit value spent for each position, a file name
// where to look for positions in FEN format, and the type of the limit:
// depth, perft, nodes and movetime (in milliseconds). Examples:
//
// bench : search default positions up to depth 13
// bench 64 1 15 : search default positions up to depth 15 (TT = 64MB)
// bench 64 1 100000 default nodes : search default positions for 100K nodes each
// bench 64 4 5000 current movetime : search current position with 4 threads for 5 sec
// bench 16 1 5 blah perft : run a perft 5 on positions in file "blah"
std::vector<std::string> setup_bench(const Position& current, std::istream& is) {
vector<string> setup_bench(const Position& current, istream& is) {
std::vector<std::string> fens, list;
std::string go, token;
vector<string> fens, list;
string go, token;
// Assign default values to missing arguments
std::string ttSize = (is >> token) ? token : "16";
std::string threads = (is >> token) ? token : "1";
std::string limit = (is >> token) ? token : "13";
std::string fenFile = (is >> token) ? token : "default";
std::string limitType = (is >> token) ? token : "depth";
// Assign default values to missing arguments
string ttSize = (is >> token) ? token : "16";
string threads = (is >> token) ? token : "1";
string limit = (is >> token) ? token : "13";
string fenFile = (is >> token) ? token : "default";
string limitType = (is >> token) ? token : "depth";
go = limitType == "eval" ? "eval" : "go " + limitType + " " + limit;
go = limitType == "eval" ? "eval" : "go " + limitType + " " + limit;
if (fenFile == "default")
fens = Defaults;
if (fenFile == "default")
fens = Defaults;
else if (fenFile == "current")
fens.push_back(current.fen());
else if (fenFile == "current")
fens.push_back(current.fen());
else
{
std::string fen;
std::ifstream file(fenFile);
else
{
string fen;
ifstream file(fenFile);
if (!file.is_open())
{
std::cerr << "Unable to open file " << fenFile << std::endl;
exit(EXIT_FAILURE);
}
if (!file.is_open())
{
cerr << "Unable to open file " << fenFile << endl;
exit(EXIT_FAILURE);
}
while (getline(file, fen))
if (!fen.empty())
fens.push_back(fen);
while (getline(file, fen))
if (!fen.empty())
fens.push_back(fen);
file.close();
}
file.close();
}
list.emplace_back("setoption name Threads value " + threads);
list.emplace_back("setoption name Hash value " + ttSize);
list.emplace_back("ucinewgame");
list.emplace_back("setoption name Threads value " + threads);
list.emplace_back("setoption name Hash value " + ttSize);
list.emplace_back("ucinewgame");
for (const std::string& fen : fens)
if (fen.find("setoption") != std::string::npos)
list.emplace_back(fen);
else
{
list.emplace_back("position fen " + fen);
list.emplace_back(go);
}
for (const string& fen : fens)
if (fen.find("setoption") != string::npos)
list.emplace_back(fen);
else
{
list.emplace_back("position fen " + fen);
list.emplace_back(go);
}
return list;
return list;
}
} // namespace Stockfish
+170
View File
@@ -0,0 +1,170 @@
/*
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/>.
*/
#include <cassert>
#include <vector>
#include <bitset>
#include "bitboard.h"
#include "types.h"
namespace {
// There are 24 possible pawn squares: files A to D and ranks from 2 to 7.
// Positions with the pawn on files E to H will be mirrored before probing.
constexpr unsigned MAX_INDEX = 2*24*64*64; // stm * psq * wksq * bksq = 196608
std::bitset<MAX_INDEX> KPKBitbase;
// A KPK bitbase index is an integer in [0, IndexMax] range
//
// Information is mapped in a way that minimizes the number of iterations:
//
// bit 0- 5: white king square (from SQ_A1 to SQ_H8)
// bit 6-11: black king square (from SQ_A1 to SQ_H8)
// bit 12: side to move (WHITE or BLACK)
// bit 13-14: white pawn file (from FILE_A to FILE_D)
// bit 15-17: white pawn RANK_7 - rank (from RANK_7 - RANK_7 to RANK_7 - RANK_2)
unsigned index(Color stm, Square bksq, Square wksq, Square psq) {
return int(wksq) | (bksq << 6) | (stm << 12) | (file_of(psq) << 13) | ((RANK_7 - rank_of(psq)) << 15);
}
enum Result {
INVALID = 0,
UNKNOWN = 1,
DRAW = 2,
WIN = 4
};
Result& operator|=(Result& r, Result v) { return r = Result(r | v); }
struct KPKPosition {
KPKPosition() = default;
explicit KPKPosition(unsigned idx);
operator Result() const { return result; }
Result classify(const std::vector<KPKPosition>& db);
Color stm;
Square ksq[COLOR_NB], psq;
Result result;
};
} // namespace
bool Bitbases::probe(Square wksq, Square wpsq, Square bksq, Color stm) {
assert(file_of(wpsq) <= FILE_D);
return KPKBitbase[index(stm, bksq, wksq, wpsq)];
}
void Bitbases::init() {
std::vector<KPKPosition> db(MAX_INDEX);
unsigned idx, repeat = 1;
// Initialize db with known win / draw positions
for (idx = 0; idx < MAX_INDEX; ++idx)
db[idx] = KPKPosition(idx);
// Iterate through the positions until none of the unknown positions can be
// changed to either wins or draws (15 cycles needed).
while (repeat)
for (repeat = idx = 0; idx < MAX_INDEX; ++idx)
repeat |= (db[idx] == UNKNOWN && db[idx].classify(db) != UNKNOWN);
// Fill the bitbase with the decisive results
for (idx = 0; idx < MAX_INDEX; ++idx)
if (db[idx] == WIN)
KPKBitbase.set(idx);
}
namespace {
KPKPosition::KPKPosition(unsigned idx) {
ksq[WHITE] = Square((idx >> 0) & 0x3F);
ksq[BLACK] = Square((idx >> 6) & 0x3F);
stm = Color ((idx >> 12) & 0x01);
psq = make_square(File((idx >> 13) & 0x3), Rank(RANK_7 - ((idx >> 15) & 0x7)));
// Invalid if two pieces are on the same square or if a king can be captured
if ( distance(ksq[WHITE], ksq[BLACK]) <= 1
|| ksq[WHITE] == psq
|| ksq[BLACK] == psq
|| (stm == WHITE && (pawn_attacks_bb(WHITE, psq) & ksq[BLACK])))
result = INVALID;
// Win if the pawn can be promoted without getting captured
else if ( stm == WHITE
&& rank_of(psq) == RANK_7
&& ksq[WHITE] != psq + NORTH
&& ( distance(ksq[BLACK], psq + NORTH) > 1
|| (distance(ksq[WHITE], psq + NORTH) == 1)))
result = WIN;
// Draw if it is stalemate or the black king can capture the pawn
else if ( stm == BLACK
&& ( !(attacks_bb<KING>(ksq[BLACK]) & ~(attacks_bb<KING>(ksq[WHITE]) | pawn_attacks_bb(WHITE, psq)))
|| (attacks_bb<KING>(ksq[BLACK]) & ~attacks_bb<KING>(ksq[WHITE]) & psq)))
result = DRAW;
// Position will be classified later
else
result = UNKNOWN;
}
Result KPKPosition::classify(const std::vector<KPKPosition>& db) {
// White to move: If one move leads to a position classified as WIN, the result
// of the current position is WIN. If all moves lead to positions classified
// as DRAW, the current position is classified as DRAW, otherwise the current
// position is classified as UNKNOWN.
//
// Black to move: If one move leads to a position classified as DRAW, the result
// of the current position is DRAW. If all moves lead to positions classified
// as WIN, the position is classified as WIN, otherwise the current position is
// classified as UNKNOWN.
const Result Good = (stm == WHITE ? WIN : DRAW);
const Result Bad = (stm == WHITE ? DRAW : WIN);
Result r = INVALID;
Bitboard b = attacks_bb<KING>(ksq[stm]);
while (b)
r |= stm == WHITE ? db[index(BLACK, ksq[BLACK] , pop_lsb(&b), psq)]
: db[index(WHITE, pop_lsb(&b), ksq[WHITE], psq)];
if (stm == WHITE)
{
if (rank_of(psq) < RANK_7) // Single push
r |= db[index(BLACK, ksq[BLACK], ksq[WHITE], psq + NORTH)];
if ( rank_of(psq) == RANK_2 // Double push
&& psq + NORTH != ksq[WHITE]
&& psq + NORTH != ksq[BLACK])
r |= db[index(BLACK, ksq[BLACK], ksq[WHITE], psq + NORTH + NORTH)];
}
return result = r & Good ? Good : r & UNKNOWN ? UNKNOWN : Bad;
}
} // namespace
+77 -90
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -16,21 +16,17 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "bitboard.h"
#include <algorithm>
#include <bitset>
#include <initializer_list>
#include "bitboard.h"
#include "misc.h"
namespace Stockfish {
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];
@@ -39,111 +35,105 @@ Magic BishopMagics[SQUARE_NB];
namespace {
Bitboard RookTable[0x19000]; // To store rook attacks
Bitboard BishopTable[0x1480]; // To store bishop attacks
Bitboard RookTable[0x19000]; // To store rook attacks
Bitboard BishopTable[0x1480]; // To store bishop attacks
void init_magics(PieceType pt, Bitboard table[], Magic magics[]);
// Returns the bitboard of target square for the given step
// from the given square. If the step is off the board, returns empty bitboard.
Bitboard safe_destination(Square s, int step) {
Square to = Square(s + step);
return is_ok(to) && distance(s, to) <= 2 ? square_bb(to) : Bitboard(0);
}
}
// Returns an ASCII representation of a bitboard suitable
// to be printed to standard output. Useful for debugging.
std::string Bitboards::pretty(Bitboard b) {
std::string s = "+---+---+---+---+---+---+---+---+\n";
for (Rank r = RANK_8; r >= RANK_1; --r)
{
for (File f = FILE_A; f <= FILE_H; ++f)
s += b & make_square(f, r) ? "| X " : "| ";
s += "| " + std::to_string(1 + r) + "\n+---+---+---+---+---+---+---+---+\n";
}
s += " a b c d e f g h\n";
return s;
void init_magics(PieceType pt, Bitboard table[], Magic magics[]);
}
// Initializes various bitboard tables. It is called at
// startup and relies on global objects to be already zero-initialized.
/// 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 s = "+---+---+---+---+---+---+---+---+\n";
for (Rank r = RANK_8; r >= RANK_1; --r)
{
for (File f = FILE_A; f <= FILE_H; ++f)
s += b & make_square(f, r) ? "| X " : "| ";
s += "| " + std::to_string(1 + r) + "\n+---+---+---+---+---+---+---+---+\n";
}
s += " a b c d e f g h\n";
return s;
}
/// Bitboards::init() initializes various bitboard tables. It is called at
/// startup and relies on global objects to be already zero-initialized.
void Bitboards::init() {
for (unsigned i = 0; i < (1 << 16); ++i)
PopCnt16[i] = uint8_t(std::bitset<16>(i).count());
for (unsigned i = 0; i < (1 << 16); ++i)
PopCnt16[i] = uint8_t(std::bitset<16>(i).count());
for (Square s1 = SQ_A1; s1 <= SQ_H8; ++s1)
for (Square s2 = SQ_A1; s2 <= SQ_H8; ++s2)
SquareDistance[s1][s2] = std::max(distance<File>(s1, s2), distance<Rank>(s1, s2));
for (Square s = SQ_A1; s <= SQ_H8; ++s)
SquareBB[s] = (1ULL << s);
init_magics(ROOK, RookTable, RookMagics);
init_magics(BISHOP, BishopTable, BishopMagics);
for (Square s1 = SQ_A1; s1 <= SQ_H8; ++s1)
for (Square s2 = SQ_A1; s2 <= SQ_H8; ++s2)
SquareDistance[s1][s2] = std::max(distance<File>(s1, s2), distance<Rank>(s1, s2));
for (Square s1 = SQ_A1; s1 <= SQ_H8; ++s1)
{
PawnAttacks[WHITE][s1] = pawn_attacks_bb<WHITE>(square_bb(s1));
PawnAttacks[BLACK][s1] = pawn_attacks_bb<BLACK>(square_bb(s1));
init_magics(ROOK, RookTable, RookMagics);
init_magics(BISHOP, BishopTable, BishopMagics);
for (int step : {-9, -8, -7, -1, 1, 7, 8, 9})
PseudoAttacks[KING][s1] |= safe_destination(s1, step);
for (Square s1 = SQ_A1; s1 <= SQ_H8; ++s1)
{
PawnAttacks[WHITE][s1] = pawn_attacks_bb<WHITE>(square_bb(s1));
PawnAttacks[BLACK][s1] = pawn_attacks_bb<BLACK>(square_bb(s1));
for (int step : {-17, -15, -10, -6, 6, 10, 15, 17})
PseudoAttacks[KNIGHT][s1] |= safe_destination(s1, step);
for (int step : {-9, -8, -7, -1, 1, 7, 8, 9} )
PseudoAttacks[KING][s1] |= safe_destination(s1, step);
PseudoAttacks[QUEEN][s1] = PseudoAttacks[BISHOP][s1] = attacks_bb<BISHOP>(s1, 0);
PseudoAttacks[QUEEN][s1] |= PseudoAttacks[ROOK][s1] = attacks_bb<ROOK>(s1, 0);
for (int step : {-17, -15, -10, -6, 6, 10, 15, 17} )
PseudoAttacks[KNIGHT][s1] |= safe_destination(s1, step);
for (PieceType pt : {BISHOP, ROOK})
for (Square s2 = SQ_A1; s2 <= SQ_H8; ++s2)
{
if (PseudoAttacks[pt][s1] & s2)
{
LineBB[s1][s2] = (attacks_bb(pt, s1, 0) & attacks_bb(pt, s2, 0)) | s1 | s2;
BetweenBB[s1][s2] =
(attacks_bb(pt, s1, square_bb(s2)) & attacks_bb(pt, s2, square_bb(s1)));
}
BetweenBB[s1][s2] |= s2;
}
}
PseudoAttacks[QUEEN][s1] = PseudoAttacks[BISHOP][s1] = attacks_bb<BISHOP>(s1, 0);
PseudoAttacks[QUEEN][s1] |= PseudoAttacks[ ROOK][s1] = attacks_bb< ROOK>(s1, 0);
for (PieceType pt : { BISHOP, ROOK })
for (Square s2 = SQ_A1; s2 <= SQ_H8; ++s2)
if (PseudoAttacks[pt][s1] & s2)
LineBB[s1][s2] = (attacks_bb(pt, s1, 0) & attacks_bb(pt, s2, 0)) | s1 | s2;
}
}
namespace {
Bitboard sliding_attack(PieceType pt, Square sq, Bitboard occupied) {
Bitboard sliding_attack(PieceType pt, Square sq, Bitboard occupied) {
Bitboard attacks = 0;
Direction RookDirections[4] = {NORTH, SOUTH, EAST, WEST};
Bitboard attacks = 0;
Direction RookDirections[4] = {NORTH, SOUTH, EAST, WEST};
Direction BishopDirections[4] = {NORTH_EAST, SOUTH_EAST, SOUTH_WEST, NORTH_WEST};
for (Direction d : (pt == ROOK ? RookDirections : BishopDirections))
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);
}
return attacks;
}
}
// Computes all rook and bishop attacks at startup. Magic
// bitboards are used to look up attacks of sliding pieces. As a reference see
// www.chessprogramming.org/Magic_Bitboards. In particular, here we use the so
// called "fancy" approach.
void init_magics(PieceType pt, Bitboard table[], Magic magics[]) {
// init_magics() computes all rook and bishop attacks at startup. Magic
// bitboards are used to look up attacks of sliding pieces. As a reference see
// www.chessprogramming.org/Magic_Bitboards. In particular, here we use the so
// called "fancy" approach.
void init_magics(PieceType pt, Bitboard table[], Magic magics[]) {
// Optimal PRNG seeds to pick the correct magics in the shortest time
int seeds[][RANK_NB] = {{8977, 44560, 54343, 38998, 5731, 95205, 104912, 17020},
{728, 10316, 55013, 32803, 12281, 15100, 16645, 255}};
int seeds[][RANK_NB] = { { 8977, 44560, 54343, 38998, 5731, 95205, 104912, 17020 },
{ 728, 10316, 55013, 32803, 12281, 15100, 16645, 255 } };
Bitboard occupancy[4096], reference[4096], edges, b;
int epoch[4096] = {}, cnt = 0, size = 0;
int epoch[4096] = {}, cnt = 0, size = 0;
for (Square s = SQ_A1; s <= SQ_H8; ++s)
{
@@ -156,8 +146,8 @@ void init_magics(PieceType pt, Bitboard table[], Magic magics[]) {
// the number of 1s of the mask. Hence we deduce the size of the shift to
// apply to the 64 or 32 bits word to get the index.
Magic& m = magics[s];
m.mask = sliding_attack(pt, s, 0) & ~edges;
m.shift = (Is64Bit ? 64 : 32) - popcount(m.mask);
m.mask = sliding_attack(pt, s, 0) & ~edges;
m.shift = (Is64Bit ? 64 : 32) - popcount(m.mask);
// Set the offset for the attacks table of the square. We have individual
// table sizes for each square with "Fancy Magic Bitboards".
@@ -166,8 +156,7 @@ void init_magics(PieceType pt, Bitboard table[], Magic magics[]) {
// Use Carry-Rippler trick to enumerate all subsets of masks[s] and
// store the corresponding sliding attack bitboard in reference[].
b = size = 0;
do
{
do {
occupancy[size] = b;
reference[size] = sliding_attack(pt, s, b);
@@ -185,9 +174,9 @@ void init_magics(PieceType pt, Bitboard table[], Magic magics[]) {
// Find a magic for square 's' picking up an (almost) random number
// until we find the one that passes the verification test.
for (int i = 0; i < size;)
for (int i = 0; i < size; )
{
for (m.magic = 0; popcount((m.magic * m.mask) >> 56) < 6;)
for (m.magic = 0; popcount((m.magic * m.mask) >> 56) < 6; )
m.magic = rng.sparse_rand<Bitboard>();
// A good magic must map every possible occupancy to an index that
@@ -202,7 +191,7 @@ void init_magics(PieceType pt, Bitboard table[], Magic magics[]) {
if (epoch[idx] < cnt)
{
epoch[idx] = cnt;
epoch[idx] = cnt;
m.attacks[idx] = reference[i];
}
else if (m.attacks[idx] != reference[i])
@@ -210,7 +199,5 @@ void init_magics(PieceType pt, Bitboard table[], Magic magics[]) {
}
}
}
}
}
}
} // namespace Stockfish
+294 -222
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -19,23 +19,26 @@
#ifndef BITBOARD_H_INCLUDED
#define BITBOARD_H_INCLUDED
#include <algorithm>
#include <cassert>
#include <cmath>
#include <cstdint>
#include <cstdlib>
#include <string>
#include "types.h"
namespace Stockfish {
namespace Bitbases {
void init();
bool probe(Square wksq, Square wpsq, Square bksq, Color us);
}
namespace Bitboards {
void init();
std::string pretty(Bitboard b);
void init();
const std::string pretty(Bitboard b);
} // namespace Stockfish::Bitboards
}
constexpr Bitboard AllSquares = ~Bitboard(0);
constexpr Bitboard DarkSquares = 0xAA55AA55AA55AA55ULL;
constexpr Bitboard FileABB = 0x0101010101010101ULL;
constexpr Bitboard FileBBB = FileABB << 1;
@@ -55,317 +58,386 @@ constexpr Bitboard Rank6BB = Rank1BB << (8 * 5);
constexpr Bitboard Rank7BB = Rank1BB << (8 * 6);
constexpr Bitboard Rank8BB = Rank1BB << (8 * 7);
constexpr Bitboard QueenSide = FileABB | FileBBB | FileCBB | FileDBB;
constexpr Bitboard CenterFiles = FileCBB | FileDBB | FileEBB | FileFBB;
constexpr Bitboard KingSide = FileEBB | FileFBB | FileGBB | FileHBB;
constexpr Bitboard Center = (FileDBB | FileEBB) & (Rank4BB | Rank5BB);
constexpr Bitboard KingFlank[FILE_NB] = {
QueenSide ^ FileDBB, QueenSide, QueenSide,
CenterFiles, CenterFiles,
KingSide, KingSide, KingSide ^ FileEBB
};
extern uint8_t PopCnt16[1 << 16];
extern uint8_t SquareDistance[SQUARE_NB][SQUARE_NB];
extern Bitboard BetweenBB[SQUARE_NB][SQUARE_NB];
extern Bitboard SquareBB[SQUARE_NB];
extern Bitboard LineBB[SQUARE_NB][SQUARE_NB];
extern Bitboard PseudoAttacks[PIECE_TYPE_NB][SQUARE_NB];
extern Bitboard PawnAttacks[COLOR_NB][SQUARE_NB];
// Magic holds all magic bitboards relevant data for a single square
/// Magic holds all magic bitboards relevant data for a single square
struct Magic {
Bitboard mask;
Bitboard magic;
Bitboard* attacks;
unsigned shift;
Bitboard mask;
Bitboard magic;
Bitboard* attacks;
unsigned shift;
// Compute the attack's index using the 'magic bitboards' approach
unsigned index(Bitboard occupied) const {
// Compute the attack's index using the 'magic bitboards' approach
unsigned index(Bitboard occupied) const {
if (HasPext)
return unsigned(pext(occupied, mask));
if (HasPext)
return unsigned(pext(occupied, mask));
if (Is64Bit)
return unsigned(((occupied & mask) * magic) >> shift);
if (Is64Bit)
return unsigned(((occupied & mask) * magic) >> shift);
unsigned lo = unsigned(occupied) & unsigned(mask);
unsigned hi = unsigned(occupied >> 32) & unsigned(mask >> 32);
return (lo * unsigned(magic) ^ hi * unsigned(magic >> 32)) >> shift;
}
unsigned lo = unsigned(occupied) & unsigned(mask);
unsigned hi = unsigned(occupied >> 32) & unsigned(mask >> 32);
return (lo * unsigned(magic) ^ hi * unsigned(magic >> 32)) >> shift;
}
};
extern Magic RookMagics[SQUARE_NB];
extern Magic BishopMagics[SQUARE_NB];
constexpr Bitboard square_bb(Square s) {
assert(is_ok(s));
return (1ULL << s);
inline Bitboard square_bb(Square s) {
assert(is_ok(s));
return SquareBB[s];
}
// Overloads of bitwise operators between a Bitboard and a Square for testing
// whether a given bit is set in a bitboard, and for setting and clearing bits.
/// Overloads of bitwise operators between a Bitboard and a Square for testing
/// whether a given bit is set in a bitboard, and for setting and clearing bits.
inline Bitboard operator&(Bitboard b, Square s) { return b & square_bb(s); }
inline Bitboard operator|(Bitboard b, Square s) { return b | square_bb(s); }
inline Bitboard operator^(Bitboard b, Square s) { return b ^ square_bb(s); }
inline Bitboard operator&( Bitboard b, Square s) { return b & square_bb(s); }
inline Bitboard operator|( Bitboard b, Square s) { return b | square_bb(s); }
inline Bitboard operator^( Bitboard b, Square s) { return b ^ square_bb(s); }
inline Bitboard& operator|=(Bitboard& b, Square s) { return b |= square_bb(s); }
inline Bitboard& operator^=(Bitboard& b, Square s) { return b ^= square_bb(s); }
inline Bitboard operator&(Square s, Bitboard b) { return b & s; }
inline Bitboard operator|(Square s, Bitboard b) { return b | s; }
inline Bitboard operator^(Square s, Bitboard b) { return b ^ s; }
inline Bitboard operator&(Square s, Bitboard b) { return b & s; }
inline Bitboard operator|(Square s, Bitboard b) { return b | s; }
inline Bitboard operator^(Square s, Bitboard b) { return b ^ s; }
inline Bitboard operator|(Square s1, Square s2) { return square_bb(s1) | s2; }
inline Bitboard operator|(Square s1, Square s2) { return square_bb(s1) | s2; }
constexpr bool more_than_one(Bitboard b) { return b & (b - 1); }
// rank_bb() and file_bb() return a bitboard representing all the squares on
// the given file or rank.
constexpr Bitboard rank_bb(Rank r) { return Rank1BB << (8 * r); }
constexpr Bitboard rank_bb(Square s) { return rank_bb(rank_of(s)); }
constexpr Bitboard file_bb(File f) { return FileABB << f; }
constexpr Bitboard file_bb(Square s) { return file_bb(file_of(s)); }
// Moves a bitboard one or two steps as specified by the direction D
template<Direction D>
constexpr Bitboard shift(Bitboard b) {
return D == NORTH ? b << 8
: D == SOUTH ? b >> 8
: D == NORTH + NORTH ? b << 16
: D == SOUTH + SOUTH ? b >> 16
: D == EAST ? (b & ~FileHBB) << 1
: D == WEST ? (b & ~FileABB) >> 1
: D == NORTH_EAST ? (b & ~FileHBB) << 9
: D == NORTH_WEST ? (b & ~FileABB) << 7
: D == SOUTH_EAST ? (b & ~FileHBB) >> 7
: D == SOUTH_WEST ? (b & ~FileABB) >> 9
: 0;
constexpr bool more_than_one(Bitboard b) {
return b & (b - 1);
}
// Returns the squares attacked by pawns of the given color
// from the squares in the given bitboard.
constexpr bool opposite_colors(Square s1, Square s2) {
return (s1 + rank_of(s1) + s2 + rank_of(s2)) & 1;
}
/// rank_bb() and file_bb() return a bitboard representing all the squares on
/// the given file or rank.
constexpr Bitboard rank_bb(Rank r) {
return Rank1BB << (8 * r);
}
constexpr Bitboard rank_bb(Square s) {
return rank_bb(rank_of(s));
}
constexpr Bitboard file_bb(File f) {
return FileABB << f;
}
constexpr Bitboard file_bb(Square s) {
return file_bb(file_of(s));
}
/// shift() moves a bitboard one or two steps as specified by the direction D
template<Direction D>
constexpr Bitboard shift(Bitboard b) {
return D == NORTH ? b << 8 : D == SOUTH ? b >> 8
: D == NORTH+NORTH? b <<16 : D == SOUTH+SOUTH? b >>16
: D == EAST ? (b & ~FileHBB) << 1 : D == WEST ? (b & ~FileABB) >> 1
: D == NORTH_EAST ? (b & ~FileHBB) << 9 : D == NORTH_WEST ? (b & ~FileABB) << 7
: D == SOUTH_EAST ? (b & ~FileHBB) >> 7 : D == SOUTH_WEST ? (b & ~FileABB) >> 9
: 0;
}
/// pawn_attacks_bb() returns the squares attacked by pawns of the given color
/// from the squares in the given bitboard.
template<Color C>
constexpr Bitboard pawn_attacks_bb(Bitboard b) {
return C == WHITE ? shift<NORTH_WEST>(b) | shift<NORTH_EAST>(b)
: shift<SOUTH_WEST>(b) | shift<SOUTH_EAST>(b);
return C == WHITE ? shift<NORTH_WEST>(b) | shift<NORTH_EAST>(b)
: shift<SOUTH_WEST>(b) | shift<SOUTH_EAST>(b);
}
inline Bitboard pawn_attacks_bb(Color c, Square s) {
assert(is_ok(s));
return PawnAttacks[c][s];
assert(is_ok(s));
return PawnAttacks[c][s];
}
// Returns a bitboard representing an entire line (from board edge
// to board edge) that intersects the two given squares. If the given squares
// are not on a same file/rank/diagonal, the function returns 0. For instance,
// line_bb(SQ_C4, SQ_F7) will return a bitboard with the A2-G8 diagonal.
/// pawn_double_attacks_bb() returns the squares doubly attacked by pawns of the
/// given color from the squares in the given bitboard.
template<Color C>
constexpr Bitboard pawn_double_attacks_bb(Bitboard b) {
return C == WHITE ? shift<NORTH_WEST>(b) & shift<NORTH_EAST>(b)
: shift<SOUTH_WEST>(b) & shift<SOUTH_EAST>(b);
}
/// adjacent_files_bb() returns a bitboard representing all the squares on the
/// adjacent files of a given square.
constexpr Bitboard adjacent_files_bb(Square s) {
return shift<EAST>(file_bb(s)) | shift<WEST>(file_bb(s));
}
/// line_bb() returns a bitboard representing an entire line (from board edge
/// to board edge) that intersects the two given squares. If the given squares
/// are not on a same file/rank/diagonal, the function returns 0. For instance,
/// line_bb(SQ_C4, SQ_F7) will return a bitboard with the A2-G8 diagonal.
inline Bitboard line_bb(Square s1, Square s2) {
assert(is_ok(s1) && is_ok(s2));
return LineBB[s1][s2];
assert(is_ok(s1) && is_ok(s2));
return LineBB[s1][s2];
}
// 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.
/// 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.
inline Bitboard between_bb(Square s1, Square s2) {
assert(is_ok(s1) && is_ok(s2));
return BetweenBB[s1][s2];
Bitboard b = line_bb(s1, s2) & ((AllSquares << s1) ^ (AllSquares << s2));
return b & (b - 1); //exclude lsb
}
// Returns true if the squares s1, s2 and s3 are aligned either on a
// straight or on a diagonal line.
inline bool aligned(Square s1, Square s2, Square s3) { return line_bb(s1, s2) & s3; }
/// forward_ranks_bb() returns a bitboard representing the squares on the ranks
/// in front of the given one, from the point of view of the given color. For instance,
/// forward_ranks_bb(BLACK, SQ_D3) will return the 16 squares on ranks 1 and 2.
// distance() functions return the distance between x and y, defined as the
// number of steps for a king in x to reach y.
template<typename T1 = Square>
inline int distance(Square x, Square y);
template<>
inline int distance<File>(Square x, Square y) {
return std::abs(file_of(x) - file_of(y));
constexpr Bitboard forward_ranks_bb(Color c, Square s) {
return c == WHITE ? ~Rank1BB << 8 * relative_rank(WHITE, s)
: ~Rank8BB >> 8 * relative_rank(BLACK, s);
}
template<>
inline int distance<Rank>(Square x, Square y) {
return std::abs(rank_of(x) - rank_of(y));
/// forward_file_bb() returns a bitboard representing all the squares along the
/// line in front of the given one, from the point of view of the given color.
constexpr Bitboard forward_file_bb(Color c, Square s) {
return forward_ranks_bb(c, s) & file_bb(s);
}
template<>
inline int distance<Square>(Square x, Square y) {
return SquareDistance[x][y];
/// pawn_attack_span() returns a bitboard representing all the squares that can
/// be attacked by a pawn of the given color when it moves along its file, starting
/// from the given square.
constexpr Bitboard pawn_attack_span(Color c, Square s) {
return forward_ranks_bb(c, s) & adjacent_files_bb(s);
}
/// passed_pawn_span() returns a bitboard which can be used to test if a pawn of
/// the given color and on the given square is a passed pawn.
constexpr Bitboard passed_pawn_span(Color c, Square s) {
return pawn_attack_span(c, s) | forward_file_bb(c, s);
}
/// aligned() returns true if the squares s1, s2 and s3 are aligned either on a
/// straight or on a diagonal line.
inline bool aligned(Square s1, Square s2, Square s3) {
return line_bb(s1, s2) & s3;
}
/// distance() functions return the distance between x and y, defined as the
/// number of steps for a king in x to reach y.
template<typename T1 = Square> inline int distance(Square x, Square y);
template<> inline int distance<File>(Square x, Square y) { return std::abs(file_of(x) - file_of(y)); }
template<> inline int distance<Rank>(Square x, Square y) { return std::abs(rank_of(x) - rank_of(y)); }
template<> inline int distance<Square>(Square x, Square y) { return SquareDistance[x][y]; }
inline int edge_distance(File f) { return std::min(f, File(FILE_H - f)); }
inline int edge_distance(Rank r) { return std::min(r, Rank(RANK_8 - r)); }
/// safe_destination() returns the bitboard of target square for the given step
/// from the given square. If the step is off the board, returns empty bitboard.
inline Bitboard safe_destination(Square s, int step)
{
Square to = Square(s + step);
return is_ok(to) && distance(s, to) <= 2 ? square_bb(to) : Bitboard(0);
}
/// attacks_bb(Square) returns the pseudo attacks of the give piece type
/// assuming an empty board.
// Returns the pseudo attacks of the given piece type
// assuming an empty board.
template<PieceType Pt>
inline Bitboard attacks_bb(Square s) {
assert((Pt != PAWN) && (is_ok(s)));
return PseudoAttacks[Pt][s];
assert((Pt != PAWN) && (is_ok(s)));
return PseudoAttacks[Pt][s];
}
// Returns the attacks by the given piece
// assuming the board is occupied according to the passed Bitboard.
// Sliding piece attacks do not continue passed an occupied square.
/// attacks_bb(Square, Bitboard) returns the attacks by the given piece
/// assuming the board is occupied according to the passed Bitboard.
/// Sliding piece attacks do not continue passed an occupied square.
template<PieceType Pt>
inline Bitboard attacks_bb(Square s, Bitboard occupied) {
assert((Pt != PAWN) && (is_ok(s)));
assert((Pt != PAWN) && (is_ok(s)));
switch (Pt)
{
case BISHOP :
return BishopMagics[s].attacks[BishopMagics[s].index(occupied)];
case ROOK :
return RookMagics[s].attacks[RookMagics[s].index(occupied)];
case QUEEN :
return attacks_bb<BISHOP>(s, occupied) | attacks_bb<ROOK>(s, occupied);
default :
return PseudoAttacks[Pt][s];
}
switch (Pt)
{
case BISHOP: return BishopMagics[s].attacks[BishopMagics[s].index(occupied)];
case ROOK : return RookMagics[s].attacks[ RookMagics[s].index(occupied)];
case QUEEN : return attacks_bb<BISHOP>(s, occupied) | attacks_bb<ROOK>(s, occupied);
default : return PseudoAttacks[Pt][s];
}
}
// Returns the attacks by the given piece
// assuming the board is occupied according to the passed Bitboard.
// Sliding piece attacks do not continue passed an occupied square.
inline Bitboard attacks_bb(PieceType pt, Square s, Bitboard occupied) {
assert((pt != PAWN) && (is_ok(s)));
assert((pt != PAWN) && (is_ok(s)));
switch (pt)
{
case BISHOP :
return attacks_bb<BISHOP>(s, occupied);
case ROOK :
return attacks_bb<ROOK>(s, occupied);
case QUEEN :
return attacks_bb<BISHOP>(s, occupied) | attacks_bb<ROOK>(s, occupied);
default :
return PseudoAttacks[pt][s];
}
switch (pt)
{
case BISHOP: return attacks_bb<BISHOP>(s, occupied);
case ROOK : return attacks_bb< ROOK>(s, occupied);
case QUEEN : return attacks_bb<BISHOP>(s, occupied) | attacks_bb<ROOK>(s, occupied);
default : return PseudoAttacks[pt][s];
}
}
// Counts the number of non-zero bits in a bitboard.
/// popcount() counts the number of non-zero bits in a bitboard
inline int popcount(Bitboard b) {
#ifndef USE_POPCNT
union {
Bitboard bb;
uint16_t u[4];
} v = {b};
return PopCnt16[v.u[0]] + PopCnt16[v.u[1]] + PopCnt16[v.u[2]] + PopCnt16[v.u[3]];
union { Bitboard bb; uint16_t u[4]; } v = { b };
return PopCnt16[v.u[0]] + PopCnt16[v.u[1]] + PopCnt16[v.u[2]] + PopCnt16[v.u[3]];
#elif defined(_MSC_VER)
#elif defined(_MSC_VER) || defined(__INTEL_COMPILER)
return int(_mm_popcnt_u64(b));
return (int)_mm_popcnt_u64(b);
#else // Assumed gcc or compatible compiler
#else // Assumed gcc or compatible compiler
return __builtin_popcountll(b);
return __builtin_popcountll(b);
#endif
}
// Returns the least significant bit in a non-zero bitboard.
/// lsb() and msb() return the least/most significant bit in a non-zero bitboard
#if defined(__GNUC__) // GCC, Clang, ICC
inline Square lsb(Bitboard b) {
assert(b);
#if defined(__GNUC__) // GCC, Clang, ICX
return Square(__builtin_ctzll(b));
#elif defined(_MSC_VER)
#ifdef _WIN64 // MSVC, WIN64
unsigned long idx;
_BitScanForward64(&idx, b);
return Square(idx);
#else // MSVC, WIN32
unsigned long idx;
if (b & 0xffffffff)
{
_BitScanForward(&idx, int32_t(b));
return Square(idx);
}
else
{
_BitScanForward(&idx, int32_t(b >> 32));
return Square(idx + 32);
}
#endif
#else // Compiler is neither GCC nor MSVC compatible
#error "Compiler not supported."
#endif
assert(b);
return Square(__builtin_ctzll(b));
}
// Returns the most significant bit in a non-zero bitboard.
inline Square msb(Bitboard b) {
assert(b);
assert(b);
return Square(63 ^ __builtin_clzll(b));
}
#if defined(__GNUC__) // GCC, Clang, ICX
#elif defined(_MSC_VER) // MSVC
return Square(63 ^ __builtin_clzll(b));
#ifdef _WIN64 // MSVC, WIN64
#elif defined(_MSC_VER)
#ifdef _WIN64 // MSVC, WIN64
inline Square lsb(Bitboard b) {
assert(b);
unsigned long idx;
_BitScanForward64(&idx, b);
return (Square) idx;
}
unsigned long idx;
_BitScanReverse64(&idx, b);
return Square(idx);
inline Square msb(Bitboard b) {
assert(b);
unsigned long idx;
_BitScanReverse64(&idx, b);
return (Square) idx;
}
#else // MSVC, WIN32
#else // MSVC, WIN32
unsigned long idx;
inline Square lsb(Bitboard b) {
assert(b);
unsigned long idx;
if (b & 0xffffffff) {
_BitScanForward(&idx, int32_t(b));
return Square(idx);
} else {
_BitScanForward(&idx, int32_t(b >> 32));
return Square(idx + 32);
}
}
inline Square msb(Bitboard b) {
assert(b);
unsigned long idx;
if (b >> 32) {
_BitScanReverse(&idx, int32_t(b >> 32));
return Square(idx + 32);
} else {
_BitScanReverse(&idx, int32_t(b));
return Square(idx);
}
}
if (b >> 32)
{
_BitScanReverse(&idx, int32_t(b >> 32));
return Square(idx + 32);
}
else
{
_BitScanReverse(&idx, int32_t(b));
return Square(idx);
}
#endif
#else // Compiler is neither GCC nor MSVC compatible
#error "Compiler not supported."
#endif
#else // Compiler is neither GCC nor MSVC compatible
#error "Compiler not supported."
#endif
/// 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;
return s;
}
// 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;
/// frontmost_sq() returns the most advanced square for the given color,
/// requires a non-zero bitboard.
inline Square frontmost_sq(Color c, Bitboard b) {
assert(b);
return c == WHITE ? msb(b) : lsb(b);
}
// Finds and clears the least significant bit in a non-zero bitboard.
inline Square pop_lsb(Bitboard& b) {
assert(b);
const Square s = lsb(b);
b &= b - 1;
return s;
}
} // namespace Stockfish
#endif // #ifndef BITBOARD_H_INCLUDED
#endif // #ifndef BITBOARD_H_INCLUDED
+743
View File
@@ -0,0 +1,743 @@
/*
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/>.
*/
#include <cassert>
#include "bitboard.h"
#include "endgame.h"
#include "movegen.h"
namespace {
// Used to drive the king towards the edge of the board
// in KX vs K and KQ vs KR endgames.
// Values range from 27 (center squares) to 90 (in the corners)
inline int push_to_edge(Square s) {
int rd = edge_distance(rank_of(s)), fd = edge_distance(file_of(s));
return 90 - (7 * fd * fd / 2 + 7 * rd * rd / 2);
}
// Used to drive the king towards A1H8 corners in KBN vs K endgames.
// Values range from 0 on A8H1 diagonal to 7 in A1H8 corners
inline int push_to_corner(Square s) {
return abs(7 - rank_of(s) - file_of(s));
}
// Drive a piece close to or away from another piece
inline int push_close(Square s1, Square s2) { return 140 - 20 * distance(s1, s2); }
inline int push_away(Square s1, Square s2) { return 120 - push_close(s1, s2); }
#ifndef NDEBUG
bool verify_material(const Position& pos, Color c, Value npm, int pawnsCnt) {
return pos.non_pawn_material(c) == npm && pos.count<PAWN>(c) == pawnsCnt;
}
#endif
// Map the square as if strongSide is white and strongSide's only pawn
// is on the left half of the board.
Square normalize(const Position& pos, Color strongSide, Square sq) {
assert(pos.count<PAWN>(strongSide) == 1);
if (file_of(pos.square<PAWN>(strongSide)) >= FILE_E)
sq = flip_file(sq);
return strongSide == WHITE ? sq : flip_rank(sq);
}
} // namespace
namespace Endgames {
std::pair<Map<Value>, Map<ScaleFactor>> maps;
void init() {
add<KPK>("KPK");
add<KNNK>("KNNK");
add<KBNK>("KBNK");
add<KRKP>("KRKP");
add<KRKB>("KRKB");
add<KRKN>("KRKN");
add<KQKP>("KQKP");
add<KQKR>("KQKR");
add<KNNKP>("KNNKP");
add<KRPKR>("KRPKR");
add<KRPKB>("KRPKB");
add<KBPKB>("KBPKB");
add<KBPKN>("KBPKN");
add<KBPPKB>("KBPPKB");
add<KRPPKRP>("KRPPKRP");
}
}
/// Mate with KX vs K. This function is used to evaluate positions with
/// king and plenty of material vs a lone king. It simply gives the
/// attacking side a bonus for driving the defending king towards the edge
/// of the board, and for keeping the distance between the two kings small.
template<>
Value Endgame<KXK>::operator()(const Position& pos) const {
assert(verify_material(pos, weakSide, VALUE_ZERO, 0));
assert(!pos.checkers()); // Eval is never called when in check
// Stalemate detection with lone king
if (pos.side_to_move() == weakSide && !MoveList<LEGAL>(pos).size())
return VALUE_DRAW;
Square strongKing = pos.square<KING>(strongSide);
Square weakKing = pos.square<KING>(weakSide);
Value result = pos.non_pawn_material(strongSide)
+ pos.count<PAWN>(strongSide) * PawnValueEg
+ push_to_edge(weakKing)
+ push_close(strongKing, weakKing);
if ( pos.count<QUEEN>(strongSide)
|| pos.count<ROOK>(strongSide)
||(pos.count<BISHOP>(strongSide) && pos.count<KNIGHT>(strongSide))
|| ( (pos.pieces(strongSide, BISHOP) & ~DarkSquares)
&& (pos.pieces(strongSide, BISHOP) & DarkSquares)))
result = std::min(result + VALUE_KNOWN_WIN, VALUE_TB_WIN_IN_MAX_PLY - 1);
return strongSide == pos.side_to_move() ? result : -result;
}
/// Mate with KBN vs K. This is similar to KX vs K, but we have to drive the
/// defending king towards a corner square that our bishop attacks.
template<>
Value Endgame<KBNK>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, KnightValueMg + BishopValueMg, 0));
assert(verify_material(pos, weakSide, VALUE_ZERO, 0));
Square strongKing = pos.square<KING>(strongSide);
Square strongBishop = pos.square<BISHOP>(strongSide);
Square weakKing = pos.square<KING>(weakSide);
// If our bishop does not attack A1/H8, we flip the enemy king square
// to drive to opposite corners (A8/H1).
Value result = (VALUE_KNOWN_WIN + 3520)
+ push_close(strongKing, weakKing)
+ 420 * push_to_corner(opposite_colors(strongBishop, SQ_A1) ? flip_file(weakKing) : weakKing);
assert(abs(result) < VALUE_TB_WIN_IN_MAX_PLY);
return strongSide == pos.side_to_move() ? result : -result;
}
/// KP vs K. This endgame is evaluated with the help of a bitbase
template<>
Value Endgame<KPK>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, VALUE_ZERO, 1));
assert(verify_material(pos, weakSide, VALUE_ZERO, 0));
// Assume strongSide is white and the pawn is on files A-D
Square strongKing = normalize(pos, strongSide, pos.square<KING>(strongSide));
Square strongPawn = normalize(pos, strongSide, pos.square<PAWN>(strongSide));
Square weakKing = normalize(pos, strongSide, pos.square<KING>(weakSide));
Color us = strongSide == pos.side_to_move() ? WHITE : BLACK;
if (!Bitbases::probe(strongKing, strongPawn, weakKing, us))
return VALUE_DRAW;
Value result = VALUE_KNOWN_WIN + PawnValueEg + Value(rank_of(strongPawn));
return strongSide == pos.side_to_move() ? result : -result;
}
/// KR vs KP. This is a somewhat tricky endgame to evaluate precisely without
/// a bitbase. The function below returns drawish scores when the pawn is
/// far advanced with support of the king, while the attacking king is far
/// away.
template<>
Value Endgame<KRKP>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, RookValueMg, 0));
assert(verify_material(pos, weakSide, VALUE_ZERO, 1));
Square strongKing = pos.square<KING>(strongSide);
Square weakKing = pos.square<KING>(weakSide);
Square strongRook = pos.square<ROOK>(strongSide);
Square weakPawn = pos.square<PAWN>(weakSide);
Square queeningSquare = make_square(file_of(weakPawn), relative_rank(weakSide, RANK_8));
Value result;
// If the stronger side's king is in front of the pawn, it's a win
if (forward_file_bb(strongSide, strongKing) & weakPawn)
result = RookValueEg - distance(strongKing, weakPawn);
// If the weaker side's king is too far from the pawn and the rook,
// it's a win.
else if ( distance(weakKing, weakPawn) >= 3 + (pos.side_to_move() == weakSide)
&& distance(weakKing, strongRook) >= 3)
result = RookValueEg - distance(strongKing, weakPawn);
// If the pawn is far advanced and supported by the defending king,
// the position is drawish
else if ( relative_rank(strongSide, weakKing) <= RANK_3
&& distance(weakKing, weakPawn) == 1
&& relative_rank(strongSide, strongKing) >= RANK_4
&& distance(strongKing, weakPawn) > 2 + (pos.side_to_move() == strongSide))
result = Value(80) - 8 * distance(strongKing, weakPawn);
else
result = Value(200) - 8 * ( distance(strongKing, weakPawn + pawn_push(weakSide))
- distance(weakKing, weakPawn + pawn_push(weakSide))
- distance(weakPawn, queeningSquare));
return strongSide == pos.side_to_move() ? result : -result;
}
/// KR vs KB. This is very simple, and always returns drawish scores. The
/// score is slightly bigger when the defending king is close to the edge.
template<>
Value Endgame<KRKB>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, RookValueMg, 0));
assert(verify_material(pos, weakSide, BishopValueMg, 0));
Value result = Value(push_to_edge(pos.square<KING>(weakSide)));
return strongSide == pos.side_to_move() ? result : -result;
}
/// KR vs KN. The attacking side has slightly better winning chances than
/// in KR vs KB, particularly if the king and the knight are far apart.
template<>
Value Endgame<KRKN>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, RookValueMg, 0));
assert(verify_material(pos, weakSide, KnightValueMg, 0));
Square weakKing = pos.square<KING>(weakSide);
Square weakKnight = pos.square<KNIGHT>(weakSide);
Value result = Value(push_to_edge(weakKing) + push_away(weakKing, weakKnight));
return strongSide == pos.side_to_move() ? result : -result;
}
/// KQ vs KP. In general, this is a win for the stronger side, but there are a
/// few important exceptions. A pawn on 7th rank and on the A,C,F or H files
/// with a king positioned next to it can be a draw, so in that case, we only
/// use the distance between the kings.
template<>
Value Endgame<KQKP>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, QueenValueMg, 0));
assert(verify_material(pos, weakSide, VALUE_ZERO, 1));
Square strongKing = pos.square<KING>(strongSide);
Square weakKing = pos.square<KING>(weakSide);
Square weakPawn = pos.square<PAWN>(weakSide);
Value result = Value(push_close(strongKing, weakKing));
if ( relative_rank(weakSide, weakPawn) != RANK_7
|| distance(weakKing, weakPawn) != 1
|| ((FileBBB | FileDBB | FileEBB | FileGBB) & weakPawn))
result += QueenValueEg - PawnValueEg;
return strongSide == pos.side_to_move() ? result : -result;
}
/// KQ vs KR. This is almost identical to KX vs K: we give the attacking
/// king a bonus for having the kings close together, and for forcing the
/// defending king towards the edge. If we also take care to avoid null move for
/// the defending side in the search, this is usually sufficient to win KQ vs KR.
template<>
Value Endgame<KQKR>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, QueenValueMg, 0));
assert(verify_material(pos, weakSide, RookValueMg, 0));
Square strongKing = pos.square<KING>(strongSide);
Square weakKing = pos.square<KING>(weakSide);
Value result = QueenValueEg
- RookValueEg
+ push_to_edge(weakKing)
+ push_close(strongKing, weakKing);
return strongSide == pos.side_to_move() ? result : -result;
}
/// KNN vs KP. Very drawish, but there are some mate opportunities if we can
/// press the weakSide King to a corner before the pawn advances too much.
template<>
Value Endgame<KNNKP>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, 2 * KnightValueMg, 0));
assert(verify_material(pos, weakSide, VALUE_ZERO, 1));
Square weakKing = pos.square<KING>(weakSide);
Square weakPawn = pos.square<PAWN>(weakSide);
Value result = PawnValueEg
+ 2 * push_to_edge(weakKing)
- 10 * relative_rank(weakSide, weakPawn);
return strongSide == pos.side_to_move() ? result : -result;
}
/// Some cases of trivial draws
template<> Value Endgame<KNNK>::operator()(const Position&) const { return VALUE_DRAW; }
/// KB and one or more pawns vs K. It checks for draws with rook pawns and
/// a bishop of the wrong color. If such a draw is detected, SCALE_FACTOR_DRAW
/// is returned. If not, the return value is SCALE_FACTOR_NONE, i.e. no scaling
/// will be used.
template<>
ScaleFactor Endgame<KBPsK>::operator()(const Position& pos) const {
assert(pos.non_pawn_material(strongSide) == BishopValueMg);
assert(pos.count<PAWN>(strongSide) >= 1);
// No assertions about the material of weakSide, because we want draws to
// be detected even when the weaker side has some pawns.
Bitboard strongPawns = pos.pieces(strongSide, PAWN);
Bitboard allPawns = pos.pieces(PAWN);
Square strongBishop = pos.square<BISHOP>(strongSide);
Square weakKing = pos.square<KING>(weakSide);
Square strongKing = pos.square<KING>(strongSide);
// All strongSide pawns are on a single rook file?
if (!(strongPawns & ~FileABB) || !(strongPawns & ~FileHBB))
{
Square queeningSquare = relative_square(strongSide, make_square(file_of(lsb(strongPawns)), RANK_8));
if ( opposite_colors(queeningSquare, strongBishop)
&& distance(queeningSquare, weakKing) <= 1)
return SCALE_FACTOR_DRAW;
}
// If all the pawns are on the same B or G file, then it's potentially a draw
if ((!(allPawns & ~FileBBB) || !(allPawns & ~FileGBB))
&& pos.non_pawn_material(weakSide) == 0
&& pos.count<PAWN>(weakSide) >= 1)
{
// Get the least advanced weakSide pawn
Square weakPawn = frontmost_sq(strongSide, pos.pieces(weakSide, PAWN));
// There's potential for a draw if our pawn is blocked on the 7th rank,
// the bishop cannot attack it or they only have one pawn left.
if ( relative_rank(strongSide, weakPawn) == RANK_7
&& (strongPawns & (weakPawn + pawn_push(weakSide)))
&& (opposite_colors(strongBishop, weakPawn) || !more_than_one(strongPawns)))
{
int strongKingDist = distance(weakPawn, strongKing);
int weakKingDist = distance(weakPawn, weakKing);
// It's a draw if the weak king is on its back two ranks, within 2
// squares of the blocking pawn and the strong king is not
// closer. (I think this rule only fails in practically
// unreachable positions such as 5k1K/6p1/6P1/8/8/3B4/8/8 w
// and positions where qsearch will immediately correct the
// problem such as 8/4k1p1/6P1/1K6/3B4/8/8/8 w).
if ( relative_rank(strongSide, weakKing) >= RANK_7
&& weakKingDist <= 2
&& weakKingDist <= strongKingDist)
return SCALE_FACTOR_DRAW;
}
}
return SCALE_FACTOR_NONE;
}
/// KQ vs KR and one or more pawns. It tests for fortress draws with a rook on
/// the third rank defended by a pawn.
template<>
ScaleFactor Endgame<KQKRPs>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, QueenValueMg, 0));
assert(pos.count<ROOK>(weakSide) == 1);
assert(pos.count<PAWN>(weakSide) >= 1);
Square strongKing = pos.square<KING>(strongSide);
Square weakKing = pos.square<KING>(weakSide);
Square weakRook = pos.square<ROOK>(weakSide);
if ( relative_rank(weakSide, weakKing) <= RANK_2
&& relative_rank(weakSide, strongKing) >= RANK_4
&& relative_rank(weakSide, weakRook) == RANK_3
&& ( pos.pieces(weakSide, PAWN)
& attacks_bb<KING>(weakKing)
& pawn_attacks_bb(strongSide, weakRook)))
return SCALE_FACTOR_DRAW;
return SCALE_FACTOR_NONE;
}
/// KRP vs KR. This function knows a handful of the most important classes of
/// drawn positions, but is far from perfect. It would probably be a good idea
/// to add more knowledge in the future.
///
/// It would also be nice to rewrite the actual code for this function,
/// which is mostly copied from Glaurung 1.x, and isn't very pretty.
template<>
ScaleFactor Endgame<KRPKR>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, RookValueMg, 1));
assert(verify_material(pos, weakSide, RookValueMg, 0));
// Assume strongSide is white and the pawn is on files A-D
Square strongKing = normalize(pos, strongSide, pos.square<KING>(strongSide));
Square strongRook = normalize(pos, strongSide, pos.square<ROOK>(strongSide));
Square strongPawn = normalize(pos, strongSide, pos.square<PAWN>(strongSide));
Square weakKing = normalize(pos, strongSide, pos.square<KING>(weakSide));
Square weakRook = normalize(pos, strongSide, pos.square<ROOK>(weakSide));
File pawnFile = file_of(strongPawn);
Rank pawnRank = rank_of(strongPawn);
Square queeningSquare = make_square(pawnFile, RANK_8);
int tempo = (pos.side_to_move() == strongSide);
// If the pawn is not too far advanced and the defending king defends the
// queening square, use the third-rank defence.
if ( pawnRank <= RANK_5
&& distance(weakKing, queeningSquare) <= 1
&& strongKing <= SQ_H5
&& (rank_of(weakRook) == RANK_6 || (pawnRank <= RANK_3 && rank_of(strongRook) != RANK_6)))
return SCALE_FACTOR_DRAW;
// The defending side saves a draw by checking from behind in case the pawn
// has advanced to the 6th rank with the king behind.
if ( pawnRank == RANK_6
&& distance(weakKing, queeningSquare) <= 1
&& rank_of(strongKing) + tempo <= RANK_6
&& (rank_of(weakRook) == RANK_1 || (!tempo && distance<File>(weakRook, strongPawn) >= 3)))
return SCALE_FACTOR_DRAW;
if ( pawnRank >= RANK_6
&& weakKing == queeningSquare
&& rank_of(weakRook) == RANK_1
&& (!tempo || distance(strongKing, strongPawn) >= 2))
return SCALE_FACTOR_DRAW;
// White pawn on a7 and rook on a8 is a draw if black's king is on g7 or h7
// and the black rook is behind the pawn.
if ( strongPawn == SQ_A7
&& strongRook == SQ_A8
&& (weakKing == SQ_H7 || weakKing == SQ_G7)
&& file_of(weakRook) == FILE_A
&& (rank_of(weakRook) <= RANK_3 || file_of(strongKing) >= FILE_D || rank_of(strongKing) <= RANK_5))
return SCALE_FACTOR_DRAW;
// If the defending king blocks the pawn and the attacking king is too far
// away, it's a draw.
if ( pawnRank <= RANK_5
&& weakKing == strongPawn + NORTH
&& distance(strongKing, strongPawn) - tempo >= 2
&& distance(strongKing, weakRook) - tempo >= 2)
return SCALE_FACTOR_DRAW;
// Pawn on the 7th rank supported by the rook from behind usually wins if the
// attacking king is closer to the queening square than the defending king,
// and the defending king cannot gain tempi by threatening the attacking rook.
if ( pawnRank == RANK_7
&& pawnFile != FILE_A
&& file_of(strongRook) == pawnFile
&& strongRook != queeningSquare
&& (distance(strongKing, queeningSquare) < distance(weakKing, queeningSquare) - 2 + tempo)
&& (distance(strongKing, queeningSquare) < distance(weakKing, strongRook) + tempo))
return ScaleFactor(SCALE_FACTOR_MAX - 2 * distance(strongKing, queeningSquare));
// Similar to the above, but with the pawn further back
if ( pawnFile != FILE_A
&& file_of(strongRook) == pawnFile
&& strongRook < strongPawn
&& (distance(strongKing, queeningSquare) < distance(weakKing, queeningSquare) - 2 + tempo)
&& (distance(strongKing, strongPawn + NORTH) < distance(weakKing, strongPawn + NORTH) - 2 + tempo)
&& ( distance(weakKing, strongRook) + tempo >= 3
|| ( distance(strongKing, queeningSquare) < distance(weakKing, strongRook) + tempo
&& (distance(strongKing, strongPawn + NORTH) < distance(weakKing, strongPawn) + tempo))))
return ScaleFactor( SCALE_FACTOR_MAX
- 8 * distance(strongPawn, queeningSquare)
- 2 * distance(strongKing, queeningSquare));
// If the pawn is not far advanced and the defending king is somewhere in
// the pawn's path, it's probably a draw.
if (pawnRank <= RANK_4 && weakKing > strongPawn)
{
if (file_of(weakKing) == file_of(strongPawn))
return ScaleFactor(10);
if ( distance<File>(weakKing, strongPawn) == 1
&& distance(strongKing, weakKing) > 2)
return ScaleFactor(24 - 2 * distance(strongKing, weakKing));
}
return SCALE_FACTOR_NONE;
}
template<>
ScaleFactor Endgame<KRPKB>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, RookValueMg, 1));
assert(verify_material(pos, weakSide, BishopValueMg, 0));
// Test for a rook pawn
if (pos.pieces(PAWN) & (FileABB | FileHBB))
{
Square weakKing = pos.square<KING>(weakSide);
Square weakBishop = pos.square<BISHOP>(weakSide);
Square strongKing = pos.square<KING>(strongSide);
Square strongPawn = pos.square<PAWN>(strongSide);
Rank pawnRank = relative_rank(strongSide, strongPawn);
Direction push = pawn_push(strongSide);
// If the pawn is on the 5th rank and the pawn (currently) is on
// the same color square as the bishop then there is a chance of
// a fortress. Depending on the king position give a moderate
// reduction or a stronger one if the defending king is near the
// corner but not trapped there.
if (pawnRank == RANK_5 && !opposite_colors(weakBishop, strongPawn))
{
int d = distance(strongPawn + 3 * push, weakKing);
if (d <= 2 && !(d == 0 && weakKing == strongKing + 2 * push))
return ScaleFactor(24);
else
return ScaleFactor(48);
}
// When the pawn has moved to the 6th rank we can be fairly sure
// it's drawn if the bishop attacks the square in front of the
// pawn from a reasonable distance and the defending king is near
// the corner
if ( pawnRank == RANK_6
&& distance(strongPawn + 2 * push, weakKing) <= 1
&& (attacks_bb<BISHOP>(weakBishop) & (strongPawn + push))
&& distance<File>(weakBishop, strongPawn) >= 2)
return ScaleFactor(8);
}
return SCALE_FACTOR_NONE;
}
/// KRPP vs KRP. There is just a single rule: if the stronger side has no passed
/// pawns and the defending king is actively placed, the position is drawish.
template<>
ScaleFactor Endgame<KRPPKRP>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, RookValueMg, 2));
assert(verify_material(pos, weakSide, RookValueMg, 1));
Square strongPawn1 = pos.squares<PAWN>(strongSide)[0];
Square strongPawn2 = pos.squares<PAWN>(strongSide)[1];
Square weakKing = pos.square<KING>(weakSide);
// Does the stronger side have a passed pawn?
if (pos.pawn_passed(strongSide, strongPawn1) || pos.pawn_passed(strongSide, strongPawn2))
return SCALE_FACTOR_NONE;
Rank pawnRank = std::max(relative_rank(strongSide, strongPawn1), relative_rank(strongSide, strongPawn2));
if ( distance<File>(weakKing, strongPawn1) <= 1
&& distance<File>(weakKing, strongPawn2) <= 1
&& relative_rank(strongSide, weakKing) > pawnRank)
{
assert(pawnRank > RANK_1 && pawnRank < RANK_7);
return ScaleFactor(7 * pawnRank);
}
return SCALE_FACTOR_NONE;
}
/// K and two or more pawns vs K. There is just a single rule here: if all pawns
/// are on the same rook file and are blocked by the defending king, it's a draw.
template<>
ScaleFactor Endgame<KPsK>::operator()(const Position& pos) const {
assert(pos.non_pawn_material(strongSide) == VALUE_ZERO);
assert(pos.count<PAWN>(strongSide) >= 2);
assert(verify_material(pos, weakSide, VALUE_ZERO, 0));
Square weakKing = pos.square<KING>(weakSide);
Bitboard strongPawns = pos.pieces(strongSide, PAWN);
// If all pawns are ahead of the king on a single rook file, it's a draw.
if ( !(strongPawns & ~(FileABB | FileHBB))
&& !(strongPawns & ~passed_pawn_span(weakSide, weakKing)))
return SCALE_FACTOR_DRAW;
return SCALE_FACTOR_NONE;
}
/// KBP vs KB. There are two rules: if the defending king is somewhere along the
/// path of the pawn, and the square of the king is not of the same color as the
/// stronger side's bishop, it's a draw. If the two bishops have opposite color,
/// it's almost always a draw.
template<>
ScaleFactor Endgame<KBPKB>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, BishopValueMg, 1));
assert(verify_material(pos, weakSide, BishopValueMg, 0));
Square strongPawn = pos.square<PAWN>(strongSide);
Square strongBishop = pos.square<BISHOP>(strongSide);
Square weakBishop = pos.square<BISHOP>(weakSide);
Square weakKing = pos.square<KING>(weakSide);
// Case 1: Defending king blocks the pawn, and cannot be driven away
if ( (forward_file_bb(strongSide, strongPawn) & weakKing)
&& ( opposite_colors(weakKing, strongBishop)
|| relative_rank(strongSide, weakKing) <= RANK_6))
return SCALE_FACTOR_DRAW;
// Case 2: Opposite colored bishops
if (opposite_colors(strongBishop, weakBishop))
return SCALE_FACTOR_DRAW;
return SCALE_FACTOR_NONE;
}
/// KBPP vs KB. It detects a few basic draws with opposite-colored bishops
template<>
ScaleFactor Endgame<KBPPKB>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, BishopValueMg, 2));
assert(verify_material(pos, weakSide, BishopValueMg, 0));
Square strongBishop = pos.square<BISHOP>(strongSide);
Square weakBishop = pos.square<BISHOP>(weakSide);
if (!opposite_colors(strongBishop, weakBishop))
return SCALE_FACTOR_NONE;
Square weakKing = pos.square<KING>(weakSide);
Square strongPawn1 = pos.squares<PAWN>(strongSide)[0];
Square strongPawn2 = pos.squares<PAWN>(strongSide)[1];
Square blockSq1, blockSq2;
if (relative_rank(strongSide, strongPawn1) > relative_rank(strongSide, strongPawn2))
{
blockSq1 = strongPawn1 + pawn_push(strongSide);
blockSq2 = make_square(file_of(strongPawn2), rank_of(strongPawn1));
}
else
{
blockSq1 = strongPawn2 + pawn_push(strongSide);
blockSq2 = make_square(file_of(strongPawn1), rank_of(strongPawn2));
}
switch (distance<File>(strongPawn1, strongPawn2))
{
case 0:
// Both pawns are on the same file. It's an easy draw if the defender firmly
// controls some square in the frontmost pawn's path.
if ( file_of(weakKing) == file_of(blockSq1)
&& relative_rank(strongSide, weakKing) >= relative_rank(strongSide, blockSq1)
&& opposite_colors(weakKing, strongBishop))
return SCALE_FACTOR_DRAW;
else
return SCALE_FACTOR_NONE;
case 1:
// Pawns on adjacent files. It's a draw if the defender firmly controls the
// square in front of the frontmost pawn's path, and the square diagonally
// behind this square on the file of the other pawn.
if ( weakKing == blockSq1
&& opposite_colors(weakKing, strongBishop)
&& ( weakBishop == blockSq2
|| (attacks_bb<BISHOP>(blockSq2, pos.pieces()) & pos.pieces(weakSide, BISHOP))
|| distance<Rank>(strongPawn1, strongPawn2) >= 2))
return SCALE_FACTOR_DRAW;
else if ( weakKing == blockSq2
&& opposite_colors(weakKing, strongBishop)
&& ( weakBishop == blockSq1
|| (attacks_bb<BISHOP>(blockSq1, pos.pieces()) & pos.pieces(weakSide, BISHOP))))
return SCALE_FACTOR_DRAW;
else
return SCALE_FACTOR_NONE;
default:
// The pawns are not on the same file or adjacent files. No scaling.
return SCALE_FACTOR_NONE;
}
}
/// KBP vs KN. There is a single rule: if the defending king is somewhere along
/// the path of the pawn, and the square of the king is not of the same color as
/// the stronger side's bishop, it's a draw.
template<>
ScaleFactor Endgame<KBPKN>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, BishopValueMg, 1));
assert(verify_material(pos, weakSide, KnightValueMg, 0));
Square strongPawn = pos.square<PAWN>(strongSide);
Square strongBishop = pos.square<BISHOP>(strongSide);
Square weakKing = pos.square<KING>(weakSide);
if ( file_of(weakKing) == file_of(strongPawn)
&& relative_rank(strongSide, strongPawn) < relative_rank(strongSide, weakKing)
&& ( opposite_colors(weakKing, strongBishop)
|| relative_rank(strongSide, weakKing) <= RANK_6))
return SCALE_FACTOR_DRAW;
return SCALE_FACTOR_NONE;
}
/// KP vs KP. This is done by removing the weakest side's pawn and probing the
/// KP vs K bitbase: if the weakest side has a draw without the pawn, it probably
/// has at least a draw with the pawn as well. The exception is when the stronger
/// side's pawn is far advanced and not on a rook file; in this case it is often
/// possible to win (e.g. 8/4k3/3p4/3P4/6K1/8/8/8 w - - 0 1).
template<>
ScaleFactor Endgame<KPKP>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, VALUE_ZERO, 1));
assert(verify_material(pos, weakSide, VALUE_ZERO, 1));
// Assume strongSide is white and the pawn is on files A-D
Square strongKing = normalize(pos, strongSide, pos.square<KING>(strongSide));
Square weakKing = normalize(pos, strongSide, pos.square<KING>(weakSide));
Square strongPawn = normalize(pos, strongSide, pos.square<PAWN>(strongSide));
Color us = strongSide == pos.side_to_move() ? WHITE : BLACK;
// If the pawn has advanced to the fifth rank or further, and is not a
// rook pawn, it's too dangerous to assume that it's at least a draw.
if (rank_of(strongPawn) >= RANK_5 && file_of(strongPawn) != FILE_A)
return SCALE_FACTOR_NONE;
// Probe the KPK bitbase with the weakest side's pawn removed. If it's a draw,
// it's probably at least a draw even with the pawn.
return Bitbases::probe(strongKing, strongPawn, weakKing, us) ? SCALE_FACTOR_NONE : SCALE_FACTOR_DRAW;
}
+123
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@@ -0,0 +1,123 @@
/*
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/>.
*/
#ifndef ENDGAME_H_INCLUDED
#define ENDGAME_H_INCLUDED
#include <memory>
#include <string>
#include <type_traits>
#include <unordered_map>
#include <utility>
#include "position.h"
#include "types.h"
/// EndgameCode lists all supported endgame functions by corresponding codes
enum EndgameCode {
EVALUATION_FUNCTIONS,
KNNK, // KNN vs K
KNNKP, // KNN vs KP
KXK, // Generic "mate lone king" eval
KBNK, // KBN vs K
KPK, // KP vs K
KRKP, // KR vs KP
KRKB, // KR vs KB
KRKN, // KR vs KN
KQKP, // KQ vs KP
KQKR, // KQ vs KR
SCALING_FUNCTIONS,
KBPsK, // KB and pawns vs K
KQKRPs, // KQ vs KR and pawns
KRPKR, // KRP vs KR
KRPKB, // KRP vs KB
KRPPKRP, // KRPP vs KRP
KPsK, // K and pawns vs K
KBPKB, // KBP vs KB
KBPPKB, // KBPP vs KB
KBPKN, // KBP vs KN
KPKP // KP vs KP
};
/// Endgame functions can be of two types depending on whether they return a
/// Value or a ScaleFactor.
template<EndgameCode E> using
eg_type = typename std::conditional<(E < SCALING_FUNCTIONS), Value, ScaleFactor>::type;
/// Base and derived functors for endgame evaluation and scaling functions
template<typename T>
struct EndgameBase {
explicit EndgameBase(Color c) : strongSide(c), weakSide(~c) {}
virtual ~EndgameBase() = default;
virtual T operator()(const Position&) const = 0;
const Color strongSide, weakSide;
};
template<EndgameCode E, typename T = eg_type<E>>
struct Endgame : public EndgameBase<T> {
explicit Endgame(Color c) : EndgameBase<T>(c) {}
T operator()(const Position&) const override;
};
/// The Endgames namespace handles the pointers to endgame evaluation and scaling
/// base objects in two std::map. We use polymorphism to invoke the actual
/// endgame function by calling its virtual operator().
namespace Endgames {
template<typename T> using Ptr = std::unique_ptr<EndgameBase<T>>;
template<typename T> using Map = std::unordered_map<Key, Ptr<T>>;
extern std::pair<Map<Value>, Map<ScaleFactor>> maps;
void init();
template<typename T>
Map<T>& map() {
return std::get<std::is_same<T, ScaleFactor>::value>(maps);
}
template<EndgameCode E, typename T = eg_type<E>>
void add(const std::string& code) {
StateInfo st;
map<T>()[Position().set(code, WHITE, &st).material_key()] = Ptr<T>(new Endgame<E>(WHITE));
map<T>()[Position().set(code, BLACK, &st).material_key()] = Ptr<T>(new Endgame<E>(BLACK));
}
template<typename T>
const EndgameBase<T>* probe(Key key) {
auto it = map<T>().find(key);
return it != map<T>().end() ? it->second.get() : nullptr;
}
}
#endif // #ifndef ENDGAME_H_INCLUDED
+933 -180
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+15 -37
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@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -20,52 +20,30 @@
#define EVALUATE_H_INCLUDED
#include <string>
#include <unordered_map>
#include "types.h"
namespace Stockfish {
class Position;
class OptionsMap;
namespace Eval {
std::string trace(Position& pos);
std::string trace(const Position& pos);
Value evaluate(const Position& pos);
int simple_eval(const Position& pos, Color c);
Value evaluate(const Position& pos, int optimism);
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 EvalFileDefaultNameBig "nn-b1a57edbea57.nnue"
#define EvalFileDefaultNameSmall "nn-baff1ede1f90.nnue"
namespace NNUE {
struct EvalFile {
// UCI option name
std::string optionName;
// Default net name, will use one of the macros above
std::string defaultName;
// Selected net name, either via uci option or default
std::string current;
// Net description extracted from the net file
std::string netDescription;
};
Value evaluate(const Position& pos);
Value compute_eval(const Position& pos);
void update_eval(const Position& pos);
bool load_eval_file(const std::string& evalFile);
namespace NNUE {
} // namespace NNUE
enum NetSize : int;
} // namespace Eval
using EvalFiles = std::unordered_map<Eval::NNUE::NetSize, EvalFile>;
EvalFiles load_networks(const std::string&, const OptionsMap&, EvalFiles);
void verify(const OptionsMap&, const EvalFiles&);
} // namespace NNUE
} // namespace Eval
} // namespace Stockfish
#endif // #ifndef EVALUATE_H_INCLUDED
#endif // #ifndef EVALUATE_H_INCLUDED
-26
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@@ -1,26 +0,0 @@
The file "incbin.h" is free and unencumbered software released into
the public domain by Dale Weiler, see:
<https://github.com/graphitemaster/incbin>
Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any
means.
In jurisdictions that recognize copyright laws, the author or authors
of this software dedicate any and all copyright interest in the
software to the public domain. We make this dedication for the benefit
of the public at large and to the detriment of our heirs and
successors. We intend this dedication to be an overt act of
relinquishment in perpetuity of all present and future rights to this
software under copyright law.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR
OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
OTHER DEALINGS IN THE SOFTWARE.
For more information, please refer to <http://unlicense.org/>
-368
View File
@@ -1,368 +0,0 @@
/**
* @file incbin.h
* @author Dale Weiler
* @brief Utility for including binary files
*
* Facilities for including binary files into the current translation unit
* and making use of them externally in other translation units.
*/
#ifndef INCBIN_HDR
#define INCBIN_HDR
#include <limits.h>
#if defined(__AVX512BW__) || \
defined(__AVX512CD__) || \
defined(__AVX512DQ__) || \
defined(__AVX512ER__) || \
defined(__AVX512PF__) || \
defined(__AVX512VL__) || \
defined(__AVX512F__)
# define INCBIN_ALIGNMENT_INDEX 6
#elif defined(__AVX__) || \
defined(__AVX2__)
# define INCBIN_ALIGNMENT_INDEX 5
#elif defined(__SSE__) || \
defined(__SSE2__) || \
defined(__SSE3__) || \
defined(__SSSE3__) || \
defined(__SSE4_1__) || \
defined(__SSE4_2__) || \
defined(__neon__)
# define INCBIN_ALIGNMENT_INDEX 4
#elif ULONG_MAX != 0xffffffffu
# define INCBIN_ALIGNMENT_INDEX 3
# else
# define INCBIN_ALIGNMENT_INDEX 2
#endif
/* Lookup table of (1 << n) where `n' is `INCBIN_ALIGNMENT_INDEX' */
#define INCBIN_ALIGN_SHIFT_0 1
#define INCBIN_ALIGN_SHIFT_1 2
#define INCBIN_ALIGN_SHIFT_2 4
#define INCBIN_ALIGN_SHIFT_3 8
#define INCBIN_ALIGN_SHIFT_4 16
#define INCBIN_ALIGN_SHIFT_5 32
#define INCBIN_ALIGN_SHIFT_6 64
/* Actual alignment value */
#define INCBIN_ALIGNMENT \
INCBIN_CONCATENATE( \
INCBIN_CONCATENATE(INCBIN_ALIGN_SHIFT, _), \
INCBIN_ALIGNMENT_INDEX)
/* Stringize */
#define INCBIN_STR(X) \
#X
#define INCBIN_STRINGIZE(X) \
INCBIN_STR(X)
/* Concatenate */
#define INCBIN_CAT(X, Y) \
X ## Y
#define INCBIN_CONCATENATE(X, Y) \
INCBIN_CAT(X, Y)
/* Deferred macro expansion */
#define INCBIN_EVAL(X) \
X
#define INCBIN_INVOKE(N, ...) \
INCBIN_EVAL(N(__VA_ARGS__))
/* Green Hills uses a different directive for including binary data */
#if defined(__ghs__)
# if (__ghs_asm == 2)
# define INCBIN_MACRO ".file"
/* Or consider the ".myrawdata" entry in the ld file */
# else
# define INCBIN_MACRO "\tINCBIN"
# endif
#else
# define INCBIN_MACRO ".incbin"
#endif
#ifndef _MSC_VER
# define INCBIN_ALIGN \
__attribute__((aligned(INCBIN_ALIGNMENT)))
#else
# define INCBIN_ALIGN __declspec(align(INCBIN_ALIGNMENT))
#endif
#if defined(__arm__) || /* GNU C and RealView */ \
defined(__arm) || /* Diab */ \
defined(_ARM) /* ImageCraft */
# define INCBIN_ARM
#endif
#ifdef __GNUC__
/* Utilize .balign where supported */
# define INCBIN_ALIGN_HOST ".balign " INCBIN_STRINGIZE(INCBIN_ALIGNMENT) "\n"
# define INCBIN_ALIGN_BYTE ".balign 1\n"
#elif defined(INCBIN_ARM)
/*
* On arm assemblers, the alignment value is calculated as (1 << n) where `n' is
* the shift count. This is the value passed to `.align'
*/
# define INCBIN_ALIGN_HOST ".align " INCBIN_STRINGIZE(INCBIN_ALIGNMENT_INDEX) "\n"
# define INCBIN_ALIGN_BYTE ".align 0\n"
#else
/* We assume other inline assembler's treat `.align' as `.balign' */
# define INCBIN_ALIGN_HOST ".align " INCBIN_STRINGIZE(INCBIN_ALIGNMENT) "\n"
# define INCBIN_ALIGN_BYTE ".align 1\n"
#endif
/* INCBIN_CONST is used by incbin.c generated files */
#if defined(__cplusplus)
# define INCBIN_EXTERNAL extern "C"
# define INCBIN_CONST extern const
#else
# define INCBIN_EXTERNAL extern
# define INCBIN_CONST const
#endif
/**
* @brief Optionally override the linker section into which data is emitted.
*
* @warning If you use this facility, you'll have to deal with platform-specific linker output
* section naming on your own
*
* Overriding the default linker output section, e.g for esp8266/Arduino:
* @code
* #define INCBIN_OUTPUT_SECTION ".irom.text"
* #include "incbin.h"
* INCBIN(Foo, "foo.txt");
* // Data is emitted into program memory that never gets copied to RAM
* @endcode
*/
#if !defined(INCBIN_OUTPUT_SECTION)
# if defined(__APPLE__)
# define INCBIN_OUTPUT_SECTION ".const_data"
# else
# define INCBIN_OUTPUT_SECTION ".rodata"
# endif
#endif
#if defined(__APPLE__)
/* The directives are different for Apple-branded compilers */
# define INCBIN_SECTION INCBIN_OUTPUT_SECTION "\n"
# define INCBIN_GLOBAL(NAME) ".globl " INCBIN_MANGLE INCBIN_STRINGIZE(INCBIN_PREFIX) #NAME "\n"
# define INCBIN_INT ".long "
# define INCBIN_MANGLE "_"
# define INCBIN_BYTE ".byte "
# define INCBIN_TYPE(...)
#else
# define INCBIN_SECTION ".section " INCBIN_OUTPUT_SECTION "\n"
# define INCBIN_GLOBAL(NAME) ".global " INCBIN_STRINGIZE(INCBIN_PREFIX) #NAME "\n"
# if defined(__ghs__)
# define INCBIN_INT ".word "
# else
# define INCBIN_INT ".int "
# endif
# if defined(__USER_LABEL_PREFIX__)
# define INCBIN_MANGLE INCBIN_STRINGIZE(__USER_LABEL_PREFIX__)
# else
# define INCBIN_MANGLE ""
# endif
# if defined(INCBIN_ARM)
/* On arm assemblers, `@' is used as a line comment token */
# define INCBIN_TYPE(NAME) ".type " INCBIN_STRINGIZE(INCBIN_PREFIX) #NAME ", %object\n"
# elif defined(__MINGW32__) || defined(__MINGW64__)
/* Mingw doesn't support this directive either */
# define INCBIN_TYPE(NAME)
# else
/* It's safe to use `@' on other architectures */
# define INCBIN_TYPE(NAME) ".type " INCBIN_STRINGIZE(INCBIN_PREFIX) #NAME ", @object\n"
# endif
# define INCBIN_BYTE ".byte "
#endif
/* List of style types used for symbol names */
#define INCBIN_STYLE_CAMEL 0
#define INCBIN_STYLE_SNAKE 1
/**
* @brief Specify the prefix to use for symbol names.
*
* By default this is `g', producing symbols of the form:
* @code
* #include "incbin.h"
* INCBIN(Foo, "foo.txt");
*
* // Now you have the following symbols:
* // const unsigned char gFooData[];
* // const unsigned char *const gFooEnd;
* // const unsigned int gFooSize;
* @endcode
*
* If however you specify a prefix before including: e.g:
* @code
* #define INCBIN_PREFIX incbin
* #include "incbin.h"
* INCBIN(Foo, "foo.txt");
*
* // Now you have the following symbols instead:
* // const unsigned char incbinFooData[];
* // const unsigned char *const incbinFooEnd;
* // const unsigned int incbinFooSize;
* @endcode
*/
#if !defined(INCBIN_PREFIX)
# define INCBIN_PREFIX g
#endif
/**
* @brief Specify the style used for symbol names.
*
* Possible options are
* - INCBIN_STYLE_CAMEL "CamelCase"
* - INCBIN_STYLE_SNAKE "snake_case"
*
* Default option is *INCBIN_STYLE_CAMEL* producing symbols of the form:
* @code
* #include "incbin.h"
* INCBIN(Foo, "foo.txt");
*
* // Now you have the following symbols:
* // const unsigned char <prefix>FooData[];
* // const unsigned char *const <prefix>FooEnd;
* // const unsigned int <prefix>FooSize;
* @endcode
*
* If however you specify a style before including: e.g:
* @code
* #define INCBIN_STYLE INCBIN_STYLE_SNAKE
* #include "incbin.h"
* INCBIN(foo, "foo.txt");
*
* // Now you have the following symbols:
* // const unsigned char <prefix>foo_data[];
* // const unsigned char *const <prefix>foo_end;
* // const unsigned int <prefix>foo_size;
* @endcode
*/
#if !defined(INCBIN_STYLE)
# define INCBIN_STYLE INCBIN_STYLE_CAMEL
#endif
/* Style lookup tables */
#define INCBIN_STYLE_0_DATA Data
#define INCBIN_STYLE_0_END End
#define INCBIN_STYLE_0_SIZE Size
#define INCBIN_STYLE_1_DATA _data
#define INCBIN_STYLE_1_END _end
#define INCBIN_STYLE_1_SIZE _size
/* Style lookup: returning identifier */
#define INCBIN_STYLE_IDENT(TYPE) \
INCBIN_CONCATENATE( \
INCBIN_STYLE_, \
INCBIN_CONCATENATE( \
INCBIN_EVAL(INCBIN_STYLE), \
INCBIN_CONCATENATE(_, TYPE)))
/* Style lookup: returning string literal */
#define INCBIN_STYLE_STRING(TYPE) \
INCBIN_STRINGIZE( \
INCBIN_STYLE_IDENT(TYPE)) \
/* Generate the global labels by indirectly invoking the macro
* with our style type and concatenate the name against them. */
#define INCBIN_GLOBAL_LABELS(NAME, TYPE) \
INCBIN_INVOKE( \
INCBIN_GLOBAL, \
INCBIN_CONCATENATE( \
NAME, \
INCBIN_INVOKE( \
INCBIN_STYLE_IDENT, \
TYPE))) \
INCBIN_INVOKE( \
INCBIN_TYPE, \
INCBIN_CONCATENATE( \
NAME, \
INCBIN_INVOKE( \
INCBIN_STYLE_IDENT, \
TYPE)))
/**
* @brief Externally reference binary data included in another translation unit.
*
* Produces three external symbols that reference the binary data included in
* another translation unit.
*
* The symbol names are a concatenation of `INCBIN_PREFIX' before *NAME*; with
* "Data", as well as "End" and "Size" after. An example is provided below.
*
* @param NAME The name given for the binary data
*
* @code
* INCBIN_EXTERN(Foo);
*
* // Now you have the following symbols:
* // extern const unsigned char <prefix>FooData[];
* // extern const unsigned char *const <prefix>FooEnd;
* // extern const unsigned int <prefix>FooSize;
* @endcode
*/
#define INCBIN_EXTERN(NAME) \
INCBIN_EXTERNAL const INCBIN_ALIGN unsigned char \
INCBIN_CONCATENATE( \
INCBIN_CONCATENATE(INCBIN_PREFIX, NAME), \
INCBIN_STYLE_IDENT(DATA))[]; \
INCBIN_EXTERNAL const INCBIN_ALIGN unsigned char *const \
INCBIN_CONCATENATE( \
INCBIN_CONCATENATE(INCBIN_PREFIX, NAME), \
INCBIN_STYLE_IDENT(END)); \
INCBIN_EXTERNAL const unsigned int \
INCBIN_CONCATENATE( \
INCBIN_CONCATENATE(INCBIN_PREFIX, NAME), \
INCBIN_STYLE_IDENT(SIZE))
/**
* @brief Include a binary file into the current translation unit.
*
* Includes a binary file into the current translation unit, producing three symbols
* for objects that encode the data and size respectively.
*
* The symbol names are a concatenation of `INCBIN_PREFIX' before *NAME*; with
* "Data", as well as "End" and "Size" after. An example is provided below.
*
* @param NAME The name to associate with this binary data (as an identifier.)
* @param FILENAME The file to include (as a string literal.)
*
* @code
* INCBIN(Icon, "icon.png");
*
* // Now you have the following symbols:
* // const unsigned char <prefix>IconData[];
* // const unsigned char *const <prefix>IconEnd;
* // const unsigned int <prefix>IconSize;
* @endcode
*
* @warning This must be used in global scope
* @warning The identifiers may be different if INCBIN_STYLE is not default
*
* To externally reference the data included by this in another translation unit
* please @see INCBIN_EXTERN.
*/
#ifdef _MSC_VER
#define INCBIN(NAME, FILENAME) \
INCBIN_EXTERN(NAME)
#else
#define INCBIN(NAME, FILENAME) \
__asm__(INCBIN_SECTION \
INCBIN_GLOBAL_LABELS(NAME, DATA) \
INCBIN_ALIGN_HOST \
INCBIN_MANGLE INCBIN_STRINGIZE(INCBIN_PREFIX) #NAME INCBIN_STYLE_STRING(DATA) ":\n" \
INCBIN_MACRO " \"" FILENAME "\"\n" \
INCBIN_GLOBAL_LABELS(NAME, END) \
INCBIN_ALIGN_BYTE \
INCBIN_MANGLE INCBIN_STRINGIZE(INCBIN_PREFIX) #NAME INCBIN_STYLE_STRING(END) ":\n" \
INCBIN_BYTE "1\n" \
INCBIN_GLOBAL_LABELS(NAME, SIZE) \
INCBIN_ALIGN_HOST \
INCBIN_MANGLE INCBIN_STRINGIZE(INCBIN_PREFIX) #NAME INCBIN_STYLE_STRING(SIZE) ":\n" \
INCBIN_INT INCBIN_MANGLE INCBIN_STRINGIZE(INCBIN_PREFIX) #NAME INCBIN_STYLE_STRING(END) " - " \
INCBIN_MANGLE INCBIN_STRINGIZE(INCBIN_PREFIX) #NAME INCBIN_STYLE_STRING(DATA) "\n" \
INCBIN_ALIGN_HOST \
".text\n" \
); \
INCBIN_EXTERN(NAME)
#endif
#endif
+23 -18
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -17,32 +17,37 @@
*/
#include <iostream>
#include <unordered_map>
#include "bitboard.h"
#include "evaluate.h"
#include "misc.h"
#include "endgame.h"
#include "position.h"
#include "tune.h"
#include "types.h"
#include "search.h"
#include "thread.h"
#include "tt.h"
#include "uci.h"
#include "syzygy/tbprobe.h"
using namespace Stockfish;
namespace PSQT {
void init();
}
int main(int argc, char* argv[]) {
std::cout << engine_info() << std::endl;
std::cout << engine_info() << std::endl;
Bitboards::init();
Position::init();
UCI::init(Options);
Tune::init();
PSQT::init();
Bitboards::init();
Position::init();
Bitbases::init();
Endgames::init();
Threads.set(size_t(Options["Threads"]));
Search::clear(); // After threads are up
Eval::init_NNUE();
UCI uci(argc, argv);
UCI::loop(argc, argv);
Tune::init(uci.options);
uci.evalFiles = Eval::NNUE::load_networks(uci.workingDirectory(), uci.options, uci.evalFiles);
uci.loop();
return 0;
Threads.set(0);
return 0;
}
+220
View File
@@ -0,0 +1,220 @@
/*
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/>.
*/
#include <cassert>
#include <cstring> // For std::memset
#include "material.h"
#include "thread.h"
using namespace std;
namespace {
// 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
};
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
};
// Endgame evaluation and scaling functions are accessed directly and not through
// the function maps because they correspond to more than one material hash key.
Endgame<KXK> EvaluateKXK[] = { Endgame<KXK>(WHITE), Endgame<KXK>(BLACK) };
Endgame<KBPsK> ScaleKBPsK[] = { Endgame<KBPsK>(WHITE), Endgame<KBPsK>(BLACK) };
Endgame<KQKRPs> ScaleKQKRPs[] = { Endgame<KQKRPs>(WHITE), Endgame<KQKRPs>(BLACK) };
Endgame<KPsK> ScaleKPsK[] = { Endgame<KPsK>(WHITE), Endgame<KPsK>(BLACK) };
Endgame<KPKP> ScaleKPKP[] = { Endgame<KPKP>(WHITE), Endgame<KPKP>(BLACK) };
// Helper used to detect a given material distribution
bool is_KXK(const Position& pos, Color us) {
return !more_than_one(pos.pieces(~us))
&& pos.non_pawn_material(us) >= RookValueMg;
}
bool is_KBPsK(const Position& pos, Color us) {
return pos.non_pawn_material(us) == BishopValueMg
&& pos.count<PAWN >(us) >= 1;
}
bool is_KQKRPs(const Position& pos, Color us) {
return !pos.count<PAWN>(us)
&& pos.non_pawn_material(us) == QueenValueMg
&& pos.count<ROOK>(~us) == 1
&& pos.count<PAWN>(~us) >= 1;
}
/// imbalance() calculates the imbalance by comparing the piece count of each
/// piece type for both colors.
template<Color Us>
int imbalance(const int pieceCount[][PIECE_TYPE_NB]) {
constexpr Color Them = ~Us;
int bonus = 0;
// Second-degree polynomial material imbalance, by Tord Romstad
for (int pt1 = NO_PIECE_TYPE; pt1 <= QUEEN; ++pt1)
{
if (!pieceCount[Us][pt1])
continue;
int v = QuadraticOurs[pt1][pt1] * pieceCount[Us][pt1];
for (int pt2 = NO_PIECE_TYPE; pt2 < pt1; ++pt2)
v += QuadraticOurs[pt1][pt2] * pieceCount[Us][pt2]
+ QuadraticTheirs[pt1][pt2] * pieceCount[Them][pt2];
bonus += pieceCount[Us][pt1] * v;
}
return bonus;
}
} // namespace
namespace Material {
/// Material::probe() looks up the current position's material configuration in
/// the material hash table. It returns a pointer to the Entry if the position
/// is found. Otherwise a new Entry is computed and stored there, so we don't
/// have to recompute all when the same material configuration occurs again.
Entry* probe(const Position& pos) {
Key key = pos.material_key();
Entry* e = pos.this_thread()->materialTable[key];
if (e->key == key)
return e;
std::memset(e, 0, sizeof(Entry));
e->key = key;
e->factor[WHITE] = e->factor[BLACK] = (uint8_t)SCALE_FACTOR_NORMAL;
Value npm_w = pos.non_pawn_material(WHITE);
Value npm_b = pos.non_pawn_material(BLACK);
Value npm = Utility::clamp(npm_w + npm_b, EndgameLimit, MidgameLimit);
// Map total non-pawn material into [PHASE_ENDGAME, PHASE_MIDGAME]
e->gamePhase = Phase(((npm - EndgameLimit) * PHASE_MIDGAME) / (MidgameLimit - EndgameLimit));
// Let's look if we have a specialized evaluation function for this particular
// material configuration. Firstly we look for a fixed configuration one, then
// for a generic one if the previous search failed.
if ((e->evaluationFunction = Endgames::probe<Value>(key)) != nullptr)
return e;
for (Color c : { WHITE, BLACK })
if (is_KXK(pos, c))
{
e->evaluationFunction = &EvaluateKXK[c];
return e;
}
// OK, we didn't find any special evaluation function for the current material
// configuration. Is there a suitable specialized scaling function?
const auto* sf = Endgames::probe<ScaleFactor>(key);
if (sf)
{
e->scalingFunction[sf->strongSide] = sf; // Only strong color assigned
return e;
}
// We didn't find any specialized scaling function, so fall back on generic
// ones that refer to more than one material distribution. Note that in this
// case we don't return after setting the function.
for (Color c : { WHITE, BLACK })
{
if (is_KBPsK(pos, c))
e->scalingFunction[c] = &ScaleKBPsK[c];
else if (is_KQKRPs(pos, c))
e->scalingFunction[c] = &ScaleKQKRPs[c];
}
if (npm_w + npm_b == VALUE_ZERO && pos.pieces(PAWN)) // Only pawns on the board
{
if (!pos.count<PAWN>(BLACK))
{
assert(pos.count<PAWN>(WHITE) >= 2);
e->scalingFunction[WHITE] = &ScaleKPsK[WHITE];
}
else if (!pos.count<PAWN>(WHITE))
{
assert(pos.count<PAWN>(BLACK) >= 2);
e->scalingFunction[BLACK] = &ScaleKPsK[BLACK];
}
else if (pos.count<PAWN>(WHITE) == 1 && pos.count<PAWN>(BLACK) == 1)
{
// This is a special case because we set scaling functions
// for both colors instead of only one.
e->scalingFunction[WHITE] = &ScaleKPKP[WHITE];
e->scalingFunction[BLACK] = &ScaleKPKP[BLACK];
}
}
// Zero or just one pawn makes it difficult to win, even with a small material
// advantage. This catches some trivial draws like KK, KBK and KNK and gives a
// drawish scale factor for cases such as KRKBP and KmmKm (except for KBBKN).
if (!pos.count<PAWN>(WHITE) && npm_w - npm_b <= BishopValueMg)
e->factor[WHITE] = uint8_t(npm_w < RookValueMg ? SCALE_FACTOR_DRAW :
npm_b <= BishopValueMg ? 4 : 14);
if (!pos.count<PAWN>(BLACK) && npm_b - npm_w <= BishopValueMg)
e->factor[BLACK] = uint8_t(npm_b < RookValueMg ? SCALE_FACTOR_DRAW :
npm_w <= BishopValueMg ? 4 : 14);
// Evaluate the material imbalance. We use PIECE_TYPE_NONE as a place holder
// for the bishop pair "extended piece", which allows us to be more flexible
// in defining bishop pair bonuses.
const int pieceCount[COLOR_NB][PIECE_TYPE_NB] = {
{ pos.count<BISHOP>(WHITE) > 1, pos.count<PAWN>(WHITE), pos.count<KNIGHT>(WHITE),
pos.count<BISHOP>(WHITE) , pos.count<ROOK>(WHITE), pos.count<QUEEN >(WHITE) },
{ pos.count<BISHOP>(BLACK) > 1, pos.count<PAWN>(BLACK), pos.count<KNIGHT>(BLACK),
pos.count<BISHOP>(BLACK) , pos.count<ROOK>(BLACK), pos.count<QUEEN >(BLACK) } };
e->value = int16_t((imbalance<WHITE>(pieceCount) - imbalance<BLACK>(pieceCount)) / 16);
return e;
}
} // namespace Material
+71
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@@ -0,0 +1,71 @@
/*
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/>.
*/
#ifndef MATERIAL_H_INCLUDED
#define MATERIAL_H_INCLUDED
#include "endgame.h"
#include "misc.h"
#include "position.h"
#include "types.h"
namespace Material {
/// Material::Entry contains various information about a material configuration.
/// It contains a material imbalance evaluation, a function pointer to a special
/// endgame evaluation function (which in most cases is NULL, meaning that the
/// standard evaluation function will be used), and scale factors.
///
/// The scale factors are used to scale the evaluation score up or down. For
/// instance, in KRB vs KR endgames, the score is scaled down by a factor of 4,
/// which will result in scores of absolute value less than one pawn.
struct Entry {
Score imbalance() const { return make_score(value, value); }
Phase game_phase() const { return gamePhase; }
bool specialized_eval_exists() const { return evaluationFunction != nullptr; }
Value evaluate(const Position& pos) const { return (*evaluationFunction)(pos); }
// scale_factor() takes a position and a color as input and returns a scale factor
// for the given color. We have to provide the position in addition to the color
// because the scale factor may also be a function which should be applied to
// the position. For instance, in KBP vs K endgames, the scaling function looks
// for rook pawns and wrong-colored bishops.
ScaleFactor scale_factor(const Position& pos, Color c) const {
ScaleFactor sf = scalingFunction[c] ? (*scalingFunction[c])(pos)
: SCALE_FACTOR_NONE;
return sf != SCALE_FACTOR_NONE ? sf : ScaleFactor(factor[c]);
}
Key key;
const EndgameBase<Value>* evaluationFunction;
const EndgameBase<ScaleFactor>* scalingFunction[COLOR_NB]; // Could be one for each
// side (e.g. KPKP, KBPsK)
int16_t value;
uint8_t factor[COLOR_NB];
Phase gamePhase;
};
typedef HashTable<Entry, 8192> Table;
Entry* probe(const Position& pos);
} // namespace Material
#endif // #ifndef MATERIAL_H_INCLUDED
+394 -586
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+69 -140
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@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -19,190 +19,119 @@
#ifndef MISC_H_INCLUDED
#define MISC_H_INCLUDED
#include <algorithm>
#include <cassert>
#include <chrono>
#include <cstddef>
#include <cstdint>
#include <iosfwd>
#include <ostream>
#include <string>
#include <vector>
#define stringify2(x) #x
#define stringify(x) stringify2(x)
#include "types.h"
namespace Stockfish {
std::string engine_info(bool to_uci = false);
std::string compiler_info();
// Preloads the given address in L1/L2 cache. This is a non-blocking
// function that doesn't stall the CPU waiting for data to be loaded from memory,
// which can be quite slow.
const std::string engine_info(bool to_uci = false);
const std::string compiler_info();
void prefetch(void* addr);
void start_logger(const std::string& fname);
void start_logger(const std::string& fname);
void* std_aligned_alloc(size_t alignment, size_t size);
void std_aligned_free(void* ptr);
// memory aligned by page size, min alignment: 4096 bytes
void* aligned_large_pages_alloc(size_t size);
// nop if mem == nullptr
void aligned_large_pages_free(void* mem);
void 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 dbg_hit_on(bool cond, int slot = 0);
void dbg_mean_of(int64_t value, int slot = 0);
void dbg_stdev_of(int64_t value, int slot = 0);
void dbg_correl_of(int64_t value1, int64_t value2, int slot = 0);
void dbg_hit_on(bool b);
void dbg_hit_on(bool c, bool b);
void dbg_mean_of(int v);
void dbg_print();
using TimePoint = std::chrono::milliseconds::rep; // A value in milliseconds
typedef std::chrono::milliseconds::rep TimePoint; // A value in milliseconds
static_assert(sizeof(TimePoint) == sizeof(int64_t), "TimePoint should be 64 bits");
inline TimePoint now() {
return std::chrono::duration_cast<std::chrono::milliseconds>(
std::chrono::steady_clock::now().time_since_epoch())
.count();
return std::chrono::duration_cast<std::chrono::milliseconds>
(std::chrono::steady_clock::now().time_since_epoch()).count();
}
template<class Entry, int Size>
struct HashTable {
Entry* operator[](Key key) { return &table[(uint32_t)key & (Size - 1)]; }
enum SyncCout {
IO_LOCK,
IO_UNLOCK
private:
std::vector<Entry> table = std::vector<Entry>(Size); // Allocate on the heap
};
enum SyncCout { IO_LOCK, IO_UNLOCK };
std::ostream& operator<<(std::ostream&, SyncCout);
#define sync_cout std::cout << IO_LOCK
#define sync_endl std::endl << IO_UNLOCK
namespace Utility {
// 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));
/// Clamp a value between lo and hi. Available in c++17.
template<class T> constexpr const T& clamp(const T& v, const T& lo, const T& hi) {
return v < lo ? lo : v > hi ? hi : v;
}
}
// True if and only if the binary is compiled on a little-endian machine
static inline const union {
uint32_t i;
char c[4];
} Le = {0x01020304};
static inline const bool IsLittleEndian = (Le.c[0] == 4);
template<typename T, std::size_t MaxSize>
class ValueList {
public:
std::size_t size() const { return size_; }
void push_back(const T& value) { values_[size_++] = value; }
const T* begin() const { return values_; }
const T* end() const { return values_ + size_; }
const T& operator[](int index) const { return values_[index]; }
private:
T values_[MaxSize];
std::size_t size_ = 0;
};
// xorshift64star Pseudo-Random Number Generator
// This class is based on original code written and dedicated
// to the public domain by Sebastiano Vigna (2014).
// It has the following characteristics:
//
// - Outputs 64-bit numbers
// - Passes Dieharder and SmallCrush test batteries
// - Does not require warm-up, no zeroland to escape
// - Internal state is a single 64-bit integer
// - Period is 2^64 - 1
// - Speed: 1.60 ns/call (Core i7 @3.40GHz)
//
// For further analysis see
// <http://vigna.di.unimi.it/ftp/papers/xorshift.pdf>
/// xorshift64star Pseudo-Random Number Generator
/// This class is based on original code written and dedicated
/// to the public domain by Sebastiano Vigna (2014).
/// It has the following characteristics:
///
/// - Outputs 64-bit numbers
/// - Passes Dieharder and SmallCrush test batteries
/// - Does not require warm-up, no zeroland to escape
/// - Internal state is a single 64-bit integer
/// - Period is 2^64 - 1
/// - Speed: 1.60 ns/call (Core i7 @3.40GHz)
///
/// For further analysis see
/// <http://vigna.di.unimi.it/ftp/papers/xorshift.pdf>
class PRNG {
uint64_t s;
uint64_t s;
uint64_t rand64() {
uint64_t rand64() {
s ^= s >> 12, s ^= s << 25, s ^= s >> 27;
return s * 2685821657736338717LL;
}
s ^= s >> 12, s ^= s << 25, s ^= s >> 27;
return s * 2685821657736338717LL;
}
public:
PRNG(uint64_t seed) :
s(seed) {
assert(seed);
}
public:
PRNG(uint64_t seed) : s(seed) { assert(seed); }
template<typename T>
T rand() {
return T(rand64());
}
template<typename T> T rand() { return T(rand64()); }
// Special generator used to fast init magic numbers.
// Output values only have 1/8th of their bits set on average.
template<typename T>
T sparse_rand() {
return T(rand64() & rand64() & rand64());
}
/// Special generator used to fast init magic numbers.
/// Output values only have 1/8th of their bits set on average.
template<typename T> T sparse_rand()
{ return T(rand64() & rand64() & rand64()); }
};
inline uint64_t mul_hi64(uint64_t a, uint64_t b) {
#if defined(__GNUC__) && defined(IS_64BIT)
__extension__ using uint128 = unsigned __int128;
return (uint128(a) * uint128(b)) >> 64;
__extension__ typedef unsigned __int128 uint128;
return ((uint128)a * (uint128)b) >> 64;
#else
uint64_t aL = uint32_t(a), aH = a >> 32;
uint64_t bL = uint32_t(b), bH = b >> 32;
uint64_t aL = (uint32_t)a, aH = a >> 32;
uint64_t bL = (uint32_t)b, bH = b >> 32;
uint64_t c1 = (aL * bL) >> 32;
uint64_t c2 = aH * bL + c1;
uint64_t c3 = aL * bH + uint32_t(c2);
uint64_t c3 = aL * bH + (uint32_t)c2;
return aH * bH + (c2 >> 32) + (c3 >> 32);
#endif
}
// Under Windows it is not possible for a process to run on more than one
// logical processor group. This usually means being limited to using max 64
// cores. To overcome this, some special platform-specific API should be
// called to set group affinity for each thread. Original code from Texel by
// Peter Österlund.
/// Under Windows it is not possible for a process to run on more than one
/// logical processor group. This usually means to be limited to use max 64
/// cores. To overcome this, some special platform specific API should be
/// called to set group affinity for each thread. Original code from Texel by
/// Peter Österlund.
namespace WinProcGroup {
void bindThisThread(size_t idx);
void bindThisThread(size_t idx);
}
struct CommandLine {
public:
CommandLine(int, char**);
int argc;
char** argv;
std::string binaryDirectory; // path of the executable directory
std::string workingDirectory; // path of the working directory
};
namespace Utility {
template<typename T, typename Predicate>
void move_to_front(std::vector<T>& vec, Predicate pred) {
auto it = std::find_if(vec.begin(), vec.end(), pred);
if (it != vec.end())
{
std::rotate(vec.begin(), it, it + 1);
}
}
}
} // namespace Stockfish
#endif // #ifndef MISC_H_INCLUDED
#endif // #ifndef MISC_H_INCLUDED
+219 -132
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@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -16,133 +16,150 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "movegen.h"
#include <cassert>
#include <initializer_list>
#include "bitboard.h"
#include "movegen.h"
#include "position.h"
namespace Stockfish {
namespace {
template<GenType Type, Direction D, bool Enemy>
ExtMove* make_promotions(ExtMove* moveList, [[maybe_unused]] Square to) {
template<GenType Type, Direction D>
ExtMove* make_promotions(ExtMove* moveList, Square to, Square ksq) {
constexpr bool all = Type == EVASIONS || Type == NON_EVASIONS;
if constexpr (Type == CAPTURES || all)
*moveList++ = Move::make<PROMOTION>(to - D, to, QUEEN);
if constexpr ((Type == CAPTURES && Enemy) || (Type == QUIETS && !Enemy) || all)
if (Type == CAPTURES || Type == EVASIONS || Type == NON_EVASIONS)
{
*moveList++ = Move::make<PROMOTION>(to - D, to, ROOK);
*moveList++ = Move::make<PROMOTION>(to - D, to, BISHOP);
*moveList++ = Move::make<PROMOTION>(to - D, to, KNIGHT);
*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);
}
return moveList;
}
}
template<Color Us, GenType Type>
ExtMove* generate_pawn_moves(const Position& pos, ExtMove* moveList, Bitboard target) {
template<Color Us, GenType Type>
ExtMove* generate_pawn_moves(const Position& pos, ExtMove* moveList, Bitboard target) {
constexpr Color Them = ~Us;
constexpr Bitboard TRank7BB = (Us == WHITE ? Rank7BB : Rank2BB);
constexpr Bitboard TRank3BB = (Us == WHITE ? Rank3BB : Rank6BB);
constexpr Bitboard TRank7BB = (Us == WHITE ? Rank7BB : Rank2BB);
constexpr Bitboard TRank3BB = (Us == WHITE ? Rank3BB : Rank6BB);
constexpr Direction Up = pawn_push(Us);
constexpr Direction UpRight = (Us == WHITE ? NORTH_EAST : SOUTH_WEST);
constexpr Direction UpLeft = (Us == WHITE ? NORTH_WEST : SOUTH_EAST);
const Bitboard emptySquares = ~pos.pieces();
const Bitboard enemies = Type == EVASIONS ? pos.checkers() : pos.pieces(Them);
const Square ksq = pos.square<KING>(Them);
Bitboard emptySquares;
Bitboard pawnsOn7 = pos.pieces(Us, PAWN) & TRank7BB;
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 constexpr (Type != CAPTURES)
if (Type != CAPTURES)
{
Bitboard b1 = shift<Up>(pawnsNotOn7) & emptySquares;
emptySquares = (Type == QUIETS || Type == QUIET_CHECKS ? target : ~pos.pieces());
Bitboard b1 = shift<Up>(pawnsNotOn7) & emptySquares;
Bitboard b2 = shift<Up>(b1 & TRank3BB) & emptySquares;
if constexpr (Type == EVASIONS) // Consider only blocking squares
if (Type == EVASIONS) // Consider only blocking squares
{
b1 &= target;
b2 &= target;
}
if constexpr (Type == QUIET_CHECKS)
if (Type == QUIET_CHECKS)
{
// 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);
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;
}
}
while (b1)
{
Square to = pop_lsb(b1);
*moveList++ = Move(to - Up, to);
Square to = pop_lsb(&b1);
*moveList++ = make_move(to - Up, to);
}
while (b2)
{
Square to = pop_lsb(b2);
*moveList++ = Move(to - Up - Up, to);
Square to = pop_lsb(&b2);
*moveList++ = make_move(to - Up - Up, to);
}
}
// Promotions and underpromotions
if (pawnsOn7)
{
Bitboard b1 = shift<UpRight>(pawnsOn7) & enemies;
Bitboard b2 = shift<UpLeft>(pawnsOn7) & enemies;
Bitboard b3 = shift<Up>(pawnsOn7) & emptySquares;
if (Type == CAPTURES)
emptySquares = ~pos.pieces();
if constexpr (Type == EVASIONS)
b3 &= target;
if (Type == EVASIONS)
emptySquares &= target;
Bitboard b1 = shift<UpRight>(pawnsOn7) & enemies;
Bitboard b2 = shift<UpLeft >(pawnsOn7) & enemies;
Bitboard b3 = shift<Up >(pawnsOn7) & emptySquares;
while (b1)
moveList = make_promotions<Type, UpRight, true>(moveList, pop_lsb(b1));
moveList = make_promotions<Type, UpRight>(moveList, pop_lsb(&b1), ksq);
while (b2)
moveList = make_promotions<Type, UpLeft, true>(moveList, pop_lsb(b2));
moveList = make_promotions<Type, UpLeft >(moveList, pop_lsb(&b2), ksq);
while (b3)
moveList = make_promotions<Type, Up, false>(moveList, pop_lsb(b3));
moveList = make_promotions<Type, Up >(moveList, pop_lsb(&b3), ksq);
}
// Standard and en passant captures
if constexpr (Type == CAPTURES || Type == EVASIONS || Type == NON_EVASIONS)
// Standard and en-passant captures
if (Type == CAPTURES || Type == EVASIONS || Type == NON_EVASIONS)
{
Bitboard b1 = shift<UpRight>(pawnsNotOn7) & enemies;
Bitboard b2 = shift<UpLeft>(pawnsNotOn7) & enemies;
Bitboard b2 = shift<UpLeft >(pawnsNotOn7) & enemies;
while (b1)
{
Square to = pop_lsb(b1);
*moveList++ = Move(to - UpRight, to);
Square to = pop_lsb(&b1);
*moveList++ = make_move(to - UpRight, to);
}
while (b2)
{
Square to = pop_lsb(b2);
*moveList++ = Move(to - UpLeft, to);
Square to = pop_lsb(&b2);
*moveList++ = make_move(to - UpLeft, to);
}
if (pos.ep_square() != SQ_NONE)
{
assert(rank_of(pos.ep_square()) == relative_rank(Us, RANK_6));
// An en passant capture cannot resolve a discovered check
if (Type == EVASIONS && (target & (pos.ep_square() + Up)))
// 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)))
return moveList;
b1 = pawnsNotOn7 & pawn_attacks_bb(Them, pos.ep_square());
@@ -150,131 +167,201 @@ ExtMove* generate_pawn_moves(const Position& pos, ExtMove* moveList, Bitboard ta
assert(b1);
while (b1)
*moveList++ = Move::make<EN_PASSANT>(pop_lsb(b1), pos.ep_square());
*moveList++ = make<ENPASSANT>(pop_lsb(&b1), pos.ep_square());
}
}
return moveList;
}
}
template<Color Us, PieceType Pt, bool Checks>
ExtMove* generate_moves(const Position& pos, ExtMove* moveList, Bitboard target) {
template<Color Us, PieceType Pt, bool Checks>
ExtMove* generate_moves(const Position& pos, ExtMove* moveList, Bitboard target) {
static_assert(Pt != KING && Pt != PAWN, "Unsupported piece type in generate_moves()");
Bitboard bb = pos.pieces(Us, Pt);
const Square* pl = pos.squares<Pt>(Us);
while (bb)
for (Square from = *pl; from != SQ_NONE; from = *++pl)
{
Square from = pop_lsb(bb);
Bitboard b = attacks_bb<Pt>(from, pos.pieces()) & target;
if (Checks)
{
if ( (Pt == BISHOP || Pt == ROOK || Pt == QUEEN)
&& !(attacks_bb<Pt>(from) & target & pos.check_squares(Pt)))
continue;
// To check, you either move freely a blocker or make a direct check.
if (Checks && (Pt == QUEEN || !(pos.blockers_for_king(~Us) & from)))
if (pos.blockers_for_king(~Us) & from)
continue;
}
Bitboard b = attacks_bb<Pt>(from, pos.pieces()) & target;
if (Checks)
b &= pos.check_squares(Pt);
while (b)
*moveList++ = Move(from, pop_lsb(b));
*moveList++ = make_move(from, pop_lsb(&b));
}
return moveList;
}
}
template<Color Us, GenType Type>
ExtMove* generate_all(const Position& pos, ExtMove* moveList) {
template<Color Us, GenType Type>
ExtMove* generate_all(const Position& pos, ExtMove* moveList) {
constexpr bool Checks = Type == QUIET_CHECKS; // Reduce template instantations
Bitboard target;
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;
// Skip generating non-king moves when in double check
if (Type != EVASIONS || !more_than_one(pos.checkers()))
switch (Type)
{
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);
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()");
}
if (!Checks || pos.blockers_for_king(~Us) & ksq)
{
Bitboard b = attacks_bb<KING>(ksq) & (Type == EVASIONS ? ~pos.pieces(Us) : target);
if (Checks)
b &= ~attacks_bb<QUEEN>(pos.square<KING>(~Us));
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)
{
Square ksq = pos.square<KING>(Us);
Bitboard b = attacks_bb<KING>(ksq) & target;
while (b)
*moveList++ = Move(ksq, pop_lsb(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 ((Type != CAPTURES) && 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++ = Move::make<CASTLING>(ksq, pos.castling_rook_square(cr));
*moveList++ = make<CASTLING>(ksq, pos.castling_rook_square(cr));
}
return moveList;
}
}
} // namespace
} // namespace
// <CAPTURES> Generates all pseudo-legal captures plus queen promotions
// <QUIETS> Generates all pseudo-legal non-captures and underpromotions
// <EVASIONS> Generates all pseudo-legal check evasions
// <NON_EVASIONS> Generates all pseudo-legal captures and non-captures
// <QUIET_CHECKS> Generates all pseudo-legal non-captures giving check,
// except castling and promotions
//
// Returns a pointer to the end of the move list.
/// <CAPTURES> Generates all pseudo-legal captures plus queen and checking knight promotions
/// <QUIETS> Generates all pseudo-legal non-captures and underpromotions(except checking knight)
/// <NON_EVASIONS> Generates all pseudo-legal captures and non-captures
///
/// Returns a pointer to the end of the move list.
template<GenType Type>
ExtMove* generate(const Position& pos, ExtMove* moveList) {
static_assert(Type != LEGAL, "Unsupported type in generate()");
assert((Type == EVASIONS) == bool(pos.checkers()));
static_assert(Type == CAPTURES || Type == QUIETS || Type == NON_EVASIONS, "Unsupported type in generate()");
assert(!pos.checkers());
Color us = pos.side_to_move();
Color us = pos.side_to_move();
return us == WHITE ? generate_all<WHITE, Type>(pos, moveList)
: generate_all<BLACK, Type>(pos, moveList);
return us == WHITE ? generate_all<WHITE, Type>(pos, moveList)
: generate_all<BLACK, Type>(pos, moveList);
}
// Explicit template instantiations
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<LEGAL> generates all the legal moves in the given position
/// 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<>
ExtMove* generate<LEGAL>(const Position& pos, ExtMove* moveList) {
Color us = pos.side_to_move();
Bitboard pinned = pos.blockers_for_king(us) & pos.pieces(us);
Square ksq = pos.square<KING>(us);
ExtMove* cur = moveList;
Color us = pos.side_to_move();
Bitboard pinned = pos.blockers_for_king(us) & pos.pieces(us);
Square ksq = pos.square<KING>(us);
ExtMove* cur = moveList;
moveList =
pos.checkers() ? generate<EVASIONS>(pos, moveList) : generate<NON_EVASIONS>(pos, moveList);
while (cur != moveList)
if (((pinned & cur->from_sq()) || cur->from_sq() == ksq || cur->type_of() == EN_PASSANT)
&& !pos.legal(*cur))
*cur = *(--moveList);
else
++cur;
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)
&& !pos.legal(*cur))
*cur = (--moveList)->move;
else
++cur;
return moveList;
return moveList;
}
} // namespace Stockfish
+31 -32
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -19,56 +19,55 @@
#ifndef MOVEGEN_H_INCLUDED
#define MOVEGEN_H_INCLUDED
#include <algorithm> // IWYU pragma: keep
#include <cstddef>
#include <algorithm>
#include "types.h"
namespace Stockfish {
class Position;
enum GenType {
CAPTURES,
QUIETS,
QUIET_CHECKS,
EVASIONS,
NON_EVASIONS,
LEGAL
CAPTURES,
QUIETS,
QUIET_CHECKS,
EVASIONS,
NON_EVASIONS,
LEGAL
};
struct ExtMove: public Move {
int value;
struct ExtMove {
Move move;
int value;
void operator=(Move m) { data = m.raw(); }
operator Move() const { return move; }
void operator=(Move m) { move = m; }
// Inhibit unwanted implicit conversions to Move
// with an ambiguity that yields to a compile error.
operator float() const = delete;
// Inhibit unwanted implicit conversions to Move
// with an ambiguity that yields to a compile error.
operator float() const = delete;
};
inline bool operator<(const ExtMove& f, const ExtMove& s) { return f.value < s.value; }
inline bool operator<(const ExtMove& f, const ExtMove& s) {
return f.value < s.value;
}
template<GenType>
ExtMove* generate(const Position& pos, ExtMove* moveList);
// The MoveList struct wraps the generate() function and returns a convenient
// list of moves. Using MoveList is sometimes preferable to directly calling
// the lower level generate() function.
/// The MoveList struct is a simple wrapper around generate(). It sometimes comes
/// in handy to use this class instead of the low level generate() function.
template<GenType T>
struct MoveList {
explicit MoveList(const Position& pos) :
last(generate<T>(pos, moveList)) {}
const ExtMove* begin() const { return moveList; }
const ExtMove* end() const { return last; }
size_t size() const { return last - moveList; }
bool contains(Move move) const { return std::find(begin(), end(), move) != end(); }
explicit MoveList(const Position& pos) : last(generate<T>(pos, moveList)) {}
const ExtMove* begin() const { return moveList; }
const ExtMove* end() const { return last; }
size_t size() const { return last - moveList; }
bool contains(Move move) const {
return std::find(begin(), end(), move) != end();
}
private:
ExtMove moveList[MAX_MOVES], *last;
private:
ExtMove moveList[MAX_MOVES], *last;
};
} // namespace Stockfish
#endif // #ifndef MOVEGEN_H_INCLUDED
#endif // #ifndef MOVEGEN_H_INCLUDED
+178 -300
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -16,371 +16,249 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "movepick.h"
#include <algorithm>
#include <cassert>
#include <iterator>
#include <utility>
#include "bitboard.h"
#include "position.h"
namespace Stockfish {
#include "movepick.h"
namespace {
enum Stages {
// generate main search moves
MAIN_TT,
CAPTURE_INIT,
GOOD_CAPTURE,
REFUTATION,
QUIET_INIT,
GOOD_QUIET,
BAD_CAPTURE,
BAD_QUIET,
enum Stages {
MAIN_TT, CAPTURE_INIT, GOOD_CAPTURE, REFUTATION, QUIET_INIT, QUIET, BAD_CAPTURE,
EVASION_TT, EVASION_INIT, EVASION,
PROBCUT_TT, PROBCUT_INIT, PROBCUT,
QSEARCH_TT, QCAPTURE_INIT, QCAPTURE, QCHECK_INIT, QCHECK
};
// generate evasion moves
EVASION_TT,
EVASION_INIT,
EVASION,
// generate probcut moves
PROBCUT_TT,
PROBCUT_INIT,
PROBCUT,
// generate qsearch moves
QSEARCH_TT,
QCAPTURE_INIT,
QCAPTURE,
QCHECK_INIT,
QCHECK
};
// Sort moves in descending order up to and including
// a given limit. The order of moves smaller than the limit is left unspecified.
void partial_insertion_sort(ExtMove* begin, ExtMove* end, int limit) {
// partial_insertion_sort() sorts moves in descending order up to and including
// a given limit. The order of moves smaller than the limit is left unspecified.
void partial_insertion_sort(ExtMove* begin, ExtMove* end, int limit) {
for (ExtMove *sortedEnd = begin, *p = begin + 1; p < end; ++p)
if (p->value >= limit)
{
ExtMove tmp = *p, *q;
*p = *++sortedEnd;
*p = *++sortedEnd;
for (q = sortedEnd; q != begin && *(q - 1) < tmp; --q)
*q = *(q - 1);
*q = tmp;
}
}
} // namespace
/// Constructors of the MovePicker class. As arguments we pass information
/// to help it to return the (presumably) good moves first, to decide which
/// moves to return (in the quiescence search, for instance, we only want to
/// search captures, promotions, and some checks) and how important good move
/// ordering is at the current node.
/// MovePicker constructor for the main search
MovePicker::MovePicker(const Position& p, Move ttm, Depth d, const ButterflyHistory* mh, const LowPlyHistory* lp,
const CapturePieceToHistory* cph, const PieceToHistory** ch, Move cm, const Move* killers, int pl)
: pos(p), mainHistory(mh), lowPlyHistory(lp), captureHistory(cph), continuationHistory(ch),
ttMove(ttm), refutations{{killers[0], 0}, {killers[1], 0}, {cm, 0}}, depth(d), ply(pl) {
assert(d > 0);
stage = (pos.checkers() ? EVASION_TT : MAIN_TT) +
!(ttm && pos.pseudo_legal(ttm));
}
} // namespace
/// MovePicker constructor for quiescence search
MovePicker::MovePicker(const Position& p, Move ttm, Depth d, const ButterflyHistory* mh,
const CapturePieceToHistory* cph, const PieceToHistory** ch, Square rs)
: pos(p), mainHistory(mh), captureHistory(cph), continuationHistory(ch), ttMove(ttm), recaptureSquare(rs), depth(d) {
assert(d <= 0);
// Constructors of the MovePicker class. As arguments, we pass information
// to help it return the (presumably) good moves first, to decide which
// moves to return (in the quiescence search, for instance, we only want to
// search captures, promotions, and some checks) and how important a good
// move ordering is at the current node.
// MovePicker constructor for the main search
MovePicker::MovePicker(const Position& p,
Move ttm,
Depth d,
const ButterflyHistory* mh,
const CapturePieceToHistory* cph,
const PieceToHistory** ch,
const PawnHistory* ph,
Move cm,
const Move* killers) :
pos(p),
mainHistory(mh),
captureHistory(cph),
continuationHistory(ch),
pawnHistory(ph),
ttMove(ttm),
refutations{{killers[0], 0}, {killers[1], 0}, {cm, 0}},
depth(d) {
assert(d > 0);
stage = (pos.checkers() ? EVASION_TT : MAIN_TT) + !(ttm && pos.pseudo_legal(ttm));
stage = (pos.checkers() ? EVASION_TT : QSEARCH_TT) +
!(ttm && (depth > DEPTH_QS_RECAPTURES || to_sq(ttm) == recaptureSquare)
&& pos.pseudo_legal(ttm));
}
// Constructor for quiescence search
MovePicker::MovePicker(const Position& p,
Move ttm,
Depth d,
const ButterflyHistory* mh,
const CapturePieceToHistory* cph,
const PieceToHistory** ch,
const PawnHistory* ph) :
pos(p),
mainHistory(mh),
captureHistory(cph),
continuationHistory(ch),
pawnHistory(ph),
ttMove(ttm),
depth(d) {
assert(d <= 0);
/// MovePicker constructor for ProbCut: we generate captures with SEE greater
/// than or equal to the given threshold.
MovePicker::MovePicker(const Position& p, Move ttm, Value th, const CapturePieceToHistory* cph)
: pos(p), captureHistory(cph), ttMove(ttm), threshold(th) {
stage = (pos.checkers() ? EVASION_TT : QSEARCH_TT) + !(ttm && pos.pseudo_legal(ttm));
assert(!pos.checkers());
stage = PROBCUT_TT + !(ttm && pos.capture(ttm)
&& pos.pseudo_legal(ttm)
&& pos.see_ge(ttm, threshold));
}
// Constructor for ProbCut: we generate captures with SEE greater
// than or equal to the given threshold.
MovePicker::MovePicker(const Position& p, Move ttm, int th, const CapturePieceToHistory* cph) :
pos(p),
captureHistory(cph),
ttMove(ttm),
threshold(th) {
assert(!pos.checkers());
stage = PROBCUT_TT
+ !(ttm && pos.capture_stage(ttm) && pos.pseudo_legal(ttm) && pos.see_ge(ttm, threshold));
}
// Assigns a numerical value to each move in a list, used
// for sorting. Captures are ordered by Most Valuable Victim (MVV), preferring
// captures with a good history. Quiets moves are ordered using the history tables.
/// MovePicker::score() assigns a numerical value to each move in a list, used
/// for sorting. Captures are ordered by Most Valuable Victim (MVV), preferring
/// captures with a good history. Quiets moves are ordered using the histories.
template<GenType Type>
void MovePicker::score() {
static_assert(Type == CAPTURES || Type == QUIETS || Type == EVASIONS, "Wrong type");
static_assert(Type == CAPTURES || Type == QUIETS || Type == EVASIONS, "Wrong type");
[[maybe_unused]] Bitboard threatenedByPawn, threatenedByMinor, threatenedByRook,
threatenedPieces;
if constexpr (Type == QUIETS)
{
Color us = pos.side_to_move();
for (auto& m : *this)
if (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)))];
threatenedByPawn = pos.attacks_by<PAWN>(~us);
threatenedByMinor =
pos.attacks_by<KNIGHT>(~us) | pos.attacks_by<BISHOP>(~us) | threatenedByPawn;
threatenedByRook = pos.attacks_by<ROOK>(~us) | threatenedByMinor;
else if (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[5])[pos.moved_piece(m)][to_sq(m)]
+ (ply < MAX_LPH ? std::min(4, depth / 3) * (*lowPlyHistory)[ply][from_to(m)] : 0);
// Pieces threatened by pieces of lesser material value
threatenedPieces = (pos.pieces(us, QUEEN) & threatenedByRook)
| (pos.pieces(us, ROOK) & threatenedByMinor)
| (pos.pieces(us, KNIGHT, BISHOP) & threatenedByPawn);
}
for (auto& m : *this)
if constexpr (Type == CAPTURES)
m.value =
7 * int(PieceValue[pos.piece_on(m.to_sq())])
+ (*captureHistory)[pos.moved_piece(m)][m.to_sq()][type_of(pos.piece_on(m.to_sq()))];
else if constexpr (Type == QUIETS)
{
Piece pc = pos.moved_piece(m);
PieceType pt = type_of(pc);
Square from = m.from_sq();
Square to = m.to_sq();
// histories
m.value = 2 * (*mainHistory)[pos.side_to_move()][m.from_to()];
m.value += 2 * (*pawnHistory)[pawn_structure_index(pos)][pc][to];
m.value += 2 * (*continuationHistory[0])[pc][to];
m.value += (*continuationHistory[1])[pc][to];
m.value += (*continuationHistory[2])[pc][to] / 4;
m.value += (*continuationHistory[3])[pc][to];
m.value += (*continuationHistory[5])[pc][to];
// bonus for checks
m.value += bool(pos.check_squares(pt) & to) * 16384;
// bonus for escaping from capture
m.value += threatenedPieces & from ? (pt == QUEEN && !(to & threatenedByRook) ? 50000
: pt == ROOK && !(to & threatenedByMinor) ? 25000
: !(to & threatenedByPawn) ? 15000
: 0)
: 0;
// malus for putting piece en prise
m.value -= !(threatenedPieces & from)
? (pt == QUEEN ? bool(to & threatenedByRook) * 50000
+ bool(to & threatenedByMinor) * 10000
: pt == ROOK ? bool(to & threatenedByMinor) * 25000
: pt != PAWN ? bool(to & threatenedByPawn) * 15000
: 0)
: 0;
}
else // Type == EVASIONS
{
if (pos.capture_stage(m))
m.value =
PieceValue[pos.piece_on(m.to_sq())] - type_of(pos.moved_piece(m)) + (1 << 28);
else
m.value = (*mainHistory)[pos.side_to_move()][m.from_to()]
+ (*continuationHistory[0])[pos.moved_piece(m)][m.to_sq()]
+ (*pawnHistory)[pawn_structure_index(pos)][pos.moved_piece(m)][m.to_sq()];
}
else // Type == EVASIONS
{
if (pos.capture(m))
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)]
- (1 << 28);
}
}
// Returns the next move satisfying a predicate function.
// It never returns the TT move.
/// MovePicker::select() returns the next move satisfying a predicate function.
/// It never returns the TT move.
template<MovePicker::PickType T, typename Pred>
Move MovePicker::select(Pred filter) {
while (cur < endMoves)
{
if constexpr (T == Best)
std::swap(*cur, *std::max_element(cur, endMoves));
while (cur < endMoves)
{
if (T == Best)
std::swap(*cur, *std::max_element(cur, endMoves));
if (*cur != ttMove && filter())
return *cur++;
if (*cur != ttMove && filter())
return *cur++;
cur++;
}
return Move::none();
cur++;
}
return MOVE_NONE;
}
// Most important method of the MovePicker class. It
// returns a new pseudo-legal move every time it is called until there are no more
// moves left, picking the move with the highest score from a list of generated moves.
/// MovePicker::next_move() is the most important method of the MovePicker class. It
/// returns a new pseudo legal move every time it is called until there are no more
/// moves left, picking the move with the highest score from a list of generated moves.
Move MovePicker::next_move(bool skipQuiets) {
auto quiet_threshold = [](Depth d) { return -3330 * d; };
top:
switch (stage)
{
switch (stage) {
case MAIN_TT :
case EVASION_TT :
case QSEARCH_TT :
case PROBCUT_TT :
++stage;
return ttMove;
case MAIN_TT:
case EVASION_TT:
case QSEARCH_TT:
case PROBCUT_TT:
++stage;
return ttMove;
case CAPTURE_INIT :
case PROBCUT_INIT :
case QCAPTURE_INIT :
cur = endBadCaptures = moves;
endMoves = generate<CAPTURES>(pos, cur);
case CAPTURE_INIT:
case PROBCUT_INIT:
case QCAPTURE_INIT:
cur = endBadCaptures = moves;
endMoves = generate<CAPTURES>(pos, cur);
score<CAPTURES>();
partial_insertion_sort(cur, endMoves, std::numeric_limits<int>::min());
++stage;
goto top;
score<CAPTURES>();
++stage;
goto top;
case GOOD_CAPTURE :
if (select<Next>([&]() {
// Move losing capture to endBadCaptures to be tried later
return pos.see_ge(*cur, -cur->value / 18) ? true
: (*endBadCaptures++ = *cur, false);
}))
return *(cur - 1);
case GOOD_CAPTURE:
if (select<Best>([&](){
return pos.see_ge(*cur, Value(-69 * cur->value / 1024)) ?
// Move losing capture to endBadCaptures to be tried later
true : (*endBadCaptures++ = *cur, false); }))
return *(cur - 1);
// Prepare the pointers to loop over the refutations array
cur = std::begin(refutations);
endMoves = std::end(refutations);
// Prepare the pointers to loop over the refutations array
cur = std::begin(refutations);
endMoves = std::end(refutations);
// If the countermove is the same as a killer, skip it
if (refutations[0] == refutations[2] || refutations[1] == refutations[2])
--endMoves;
// If the countermove is the same as a killer, skip it
if ( refutations[0].move == refutations[2].move
|| refutations[1].move == refutations[2].move)
--endMoves;
++stage;
[[fallthrough]];
++stage;
/* fallthrough */
case REFUTATION :
if (select<Next>([&]() {
return *cur != Move::none() && !pos.capture_stage(*cur) && pos.pseudo_legal(*cur);
}))
return *(cur - 1);
++stage;
[[fallthrough]];
case REFUTATION:
if (select<Next>([&](){ return *cur != MOVE_NONE
&& !pos.capture(*cur)
&& pos.pseudo_legal(*cur); }))
return *(cur - 1);
++stage;
/* fallthrough */
case QUIET_INIT :
if (!skipQuiets)
{
cur = endBadCaptures;
endMoves = beginBadQuiets = endBadQuiets = generate<QUIETS>(pos, cur);
case QUIET_INIT:
if (!skipQuiets)
{
cur = endBadCaptures;
endMoves = generate<QUIETS>(pos, cur);
score<QUIETS>();
partial_insertion_sort(cur, endMoves, quiet_threshold(depth));
}
score<QUIETS>();
partial_insertion_sort(cur, endMoves, -3000 * depth);
}
++stage;
[[fallthrough]];
++stage;
/* fallthrough */
case GOOD_QUIET :
if (!skipQuiets && select<Next>([&]() {
return *cur != refutations[0] && *cur != refutations[1] && *cur != refutations[2];
}))
{
if ((cur - 1)->value > -8000 || (cur - 1)->value <= quiet_threshold(depth))
return *(cur - 1);
case QUIET:
if ( !skipQuiets
&& select<Next>([&](){return *cur != refutations[0].move
&& *cur != refutations[1].move
&& *cur != refutations[2].move;}))
return *(cur - 1);
// Remaining quiets are bad
beginBadQuiets = cur - 1;
}
// Prepare the pointers to loop over the bad captures
cur = moves;
endMoves = endBadCaptures;
// Prepare the pointers to loop over the bad captures
cur = moves;
endMoves = endBadCaptures;
++stage;
/* fallthrough */
++stage;
[[fallthrough]];
case BAD_CAPTURE:
return select<Next>([](){ return true; });
case BAD_CAPTURE :
if (select<Next>([]() { return true; }))
return *(cur - 1);
case EVASION_INIT:
cur = moves;
endMoves = generate<EVASIONS>(pos, cur);
// Prepare the pointers to loop over the bad quiets
cur = beginBadQuiets;
endMoves = endBadQuiets;
score<EVASIONS>();
++stage;
/* fallthrough */
++stage;
[[fallthrough]];
case EVASION:
return select<Best>([](){ return true; });
case BAD_QUIET :
if (!skipQuiets)
return select<Next>([&]() {
return *cur != refutations[0] && *cur != refutations[1] && *cur != refutations[2];
});
case PROBCUT:
return select<Best>([&](){ return pos.see_ge(*cur, threshold); });
return Move::none();
case QCAPTURE:
if (select<Best>([&](){ return depth > DEPTH_QS_RECAPTURES
|| to_sq(*cur) == recaptureSquare; }))
return *(cur - 1);
case EVASION_INIT :
cur = moves;
endMoves = generate<EVASIONS>(pos, cur);
// If we did not find any move and we do not try checks, we have finished
if (depth != DEPTH_QS_CHECKS)
return MOVE_NONE;
score<EVASIONS>();
++stage;
[[fallthrough]];
++stage;
/* fallthrough */
case EVASION :
return select<Best>([]() { return true; });
case QCHECK_INIT:
cur = moves;
endMoves = generate<QUIET_CHECKS>(pos, cur);
case PROBCUT :
return select<Next>([&]() { return pos.see_ge(*cur, threshold); });
++stage;
/* fallthrough */
case QCAPTURE :
if (select<Next>([]() { return true; }))
return *(cur - 1);
case QCHECK:
return select<Next>([](){ return true; });
}
// If we did not find any move and we do not try checks, we have finished
if (depth != DEPTH_QS_CHECKS)
return Move::none();
++stage;
[[fallthrough]];
case QCHECK_INIT :
cur = moves;
endMoves = generate<QUIET_CHECKS>(pos, cur);
++stage;
[[fallthrough]];
case QCHECK :
return select<Next>([]() { return true; });
}
assert(false);
return Move::none(); // Silence warning
assert(false);
return MOVE_NONE; // Silence warning
}
} // namespace Stockfish
+103 -144
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -20,181 +20,140 @@
#define MOVEPICK_H_INCLUDED
#include <array>
#include <cassert>
#include <cmath>
#include <cstdint>
#include <cstdlib>
#include <limits>
#include <type_traits> // IWYU pragma: keep
#include <type_traits>
#include "movegen.h"
#include "types.h"
#include "position.h"
#include "types.h"
namespace Stockfish {
constexpr int PAWN_HISTORY_SIZE = 512; // has to be a power of 2
constexpr int CORRECTION_HISTORY_SIZE = 16384; // has to be a power of 2
constexpr int CORRECTION_HISTORY_LIMIT = 1024;
static_assert((PAWN_HISTORY_SIZE & (PAWN_HISTORY_SIZE - 1)) == 0,
"PAWN_HISTORY_SIZE has to be a power of 2");
static_assert((CORRECTION_HISTORY_SIZE & (CORRECTION_HISTORY_SIZE - 1)) == 0,
"CORRECTION_HISTORY_SIZE has to be a power of 2");
enum PawnHistoryType {
Normal,
Correction
};
template<PawnHistoryType T = Normal>
inline int pawn_structure_index(const Position& pos) {
return pos.pawn_key() & ((T == Normal ? PAWN_HISTORY_SIZE : CORRECTION_HISTORY_SIZE) - 1);
}
// StatsEntry stores the stat table value. It is usually a number but could
// be a move or even a nested history. We use a class instead of a naked value
// to directly call history update operator<<() on the entry so to use stats
// tables at caller sites as simple multi-dim arrays.
/// StatsEntry stores the stat table value. It is usually a number but could
/// be a move or even a nested history. We use a class instead of naked value
/// to directly call history update operator<<() on the entry so to use stats
/// tables at caller sites as simple multi-dim arrays.
template<typename T, int D>
class StatsEntry {
T entry;
T entry;
public:
void operator=(const T& v) { entry = v; }
T* operator&() { return &entry; }
T* operator->() { return &entry; }
operator const T&() const { return entry; }
public:
void operator=(const T& v) { entry = v; }
T* operator&() { return &entry; }
T* operator->() { return &entry; }
operator const T&() const { return entry; }
void operator<<(int bonus) {
assert(std::abs(bonus) <= D); // Ensure range is [-D, D]
static_assert(D <= std::numeric_limits<T>::max(), "D overflows T");
void operator<<(int bonus) {
assert(abs(bonus) <= D); // Ensure range is [-D, D]
static_assert(D <= std::numeric_limits<T>::max(), "D overflows T");
entry += bonus - entry * std::abs(bonus) / D;
entry += bonus - entry * abs(bonus) / D;
assert(std::abs(entry) <= D);
}
assert(abs(entry) <= D);
}
};
// Stats is a generic N-dimensional array used to store various statistics.
// The first template parameter T is the base type of the array, and the second
// template parameter D limits the range of updates in [-D, D] when we update
// values with the << operator, while the last parameters (Size and Sizes)
// encode the dimensions of the array.
template<typename T, int D, int Size, int... Sizes>
struct Stats: public std::array<Stats<T, D, Sizes...>, Size> {
using stats = Stats<T, D, Size, Sizes...>;
/// Stats is a generic N-dimensional array used to store various statistics.
/// The first template parameter T is the base type of the array, the second
/// template parameter D limits the range of updates in [-D, D] when we update
/// values with the << operator, while the last parameters (Size and Sizes)
/// encode the dimensions of the array.
template <typename T, int D, int Size, int... Sizes>
struct Stats : public std::array<Stats<T, D, Sizes...>, Size>
{
typedef Stats<T, D, Size, Sizes...> stats;
void fill(const T& v) {
void fill(const T& v) {
// For standard-layout 'this' points to the first struct member
assert(std::is_standard_layout_v<stats>);
// For standard-layout 'this' points to first struct member
assert(std::is_standard_layout<stats>::value);
using entry = StatsEntry<T, D>;
entry* p = reinterpret_cast<entry*>(this);
std::fill(p, p + sizeof(*this) / sizeof(entry), v);
}
typedef StatsEntry<T, D> entry;
entry* p = reinterpret_cast<entry*>(this);
std::fill(p, p + sizeof(*this) / sizeof(entry), v);
}
};
template<typename T, int D, int Size>
struct Stats<T, D, Size>: public std::array<StatsEntry<T, D>, Size> {};
template <typename T, int D, int Size>
struct Stats<T, D, Size> : public std::array<StatsEntry<T, D>, Size> {};
// In stats table, D=0 means that the template parameter is not used
enum StatsParams {
NOT_USED = 0
};
enum StatsType {
NoCaptures,
Captures
};
/// In stats table, D=0 means that the template parameter is not used
enum StatsParams { NOT_USED = 0 };
enum StatsType { NoCaptures, Captures };
// ButterflyHistory records how often quiet moves have been successful or unsuccessful
// during the current search, and is used for reduction and move ordering decisions.
// It uses 2 tables (one for each color) indexed by the move's from and to squares,
// see www.chessprogramming.org/Butterfly_Boards (~11 elo)
using ButterflyHistory = Stats<int16_t, 7183, COLOR_NB, int(SQUARE_NB) * int(SQUARE_NB)>;
/// ButterflyHistory records how often quiet moves have been successful or
/// unsuccessful during the current search, and is used for reduction and move
/// ordering decisions. It uses 2 tables (one for each color) indexed by
/// the move's from and to squares, see www.chessprogramming.org/Butterfly_Boards
typedef Stats<int16_t, 10692, COLOR_NB, int(SQUARE_NB) * int(SQUARE_NB)> ButterflyHistory;
// CounterMoveHistory stores counter moves indexed by [piece][to] of the previous
// move, see www.chessprogramming.org/Countermove_Heuristic
using CounterMoveHistory = Stats<Move, NOT_USED, PIECE_NB, SQUARE_NB>;
/// 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 search and filled during iterative deepening
constexpr int MAX_LPH = 4;
typedef Stats<int16_t, 10692, MAX_LPH, int(SQUARE_NB) * int(SQUARE_NB)> LowPlyHistory;
// CapturePieceToHistory is addressed by a move's [piece][to][captured piece type]
using CapturePieceToHistory = Stats<int16_t, 10692, PIECE_NB, SQUARE_NB, PIECE_TYPE_NB>;
/// CounterMoveHistory stores counter moves indexed by [piece][to] of the previous
/// move, see www.chessprogramming.org/Countermove_Heuristic
typedef Stats<Move, NOT_USED, PIECE_NB, SQUARE_NB> CounterMoveHistory;
// PieceToHistory is like ButterflyHistory but is addressed by a move's [piece][to]
using PieceToHistory = Stats<int16_t, 29952, PIECE_NB, SQUARE_NB>;
/// CapturePieceToHistory is addressed by a move's [piece][to][captured piece type]
typedef Stats<int16_t, 10692, PIECE_NB, SQUARE_NB, PIECE_TYPE_NB> CapturePieceToHistory;
// ContinuationHistory is the combined history of a given pair of moves, usually
// the current one given a previous one. The nested history table is based on
// PieceToHistory instead of ButterflyBoards.
// (~63 elo)
using ContinuationHistory = Stats<PieceToHistory, NOT_USED, PIECE_NB, SQUARE_NB>;
/// PieceToHistory is like ButterflyHistory but is addressed by a move's [piece][to]
typedef Stats<int16_t, 29952, PIECE_NB, SQUARE_NB> PieceToHistory;
// PawnHistory is addressed by the pawn structure and a move's [piece][to]
using PawnHistory = Stats<int16_t, 8192, PAWN_HISTORY_SIZE, PIECE_NB, SQUARE_NB>;
/// ContinuationHistory is the combined history of a given pair of moves, usually
/// the current one given a previous one. The nested history table is based on
/// PieceToHistory instead of ButterflyBoards.
typedef Stats<PieceToHistory, NOT_USED, PIECE_NB, SQUARE_NB> ContinuationHistory;
// CorrectionHistory is addressed by color and pawn structure
using CorrectionHistory =
Stats<int16_t, CORRECTION_HISTORY_LIMIT, COLOR_NB, CORRECTION_HISTORY_SIZE>;
// MovePicker class is used to pick one pseudo-legal move at a time from the
// current position. The most important method is next_move(), which returns a
// new pseudo-legal move each time it is called, until there are no moves left,
// when Move::none() is returned. In order to improve the efficiency of the
// alpha-beta algorithm, MovePicker attempts to return the moves which are most
// likely to get a cut-off first.
/// MovePicker class is used to pick one pseudo legal move at a time from the
/// current position. The most important method is next_move(), which returns a
/// new pseudo legal move each time it is called, until there are no moves left,
/// when MOVE_NONE is returned. In order to improve the efficiency of the alpha
/// beta algorithm, MovePicker attempts to return the moves which are most likely
/// to get a cut-off first.
class MovePicker {
enum PickType {
Next,
Best
};
enum PickType { Next, Best };
public:
MovePicker(const MovePicker&) = delete;
MovePicker& operator=(const MovePicker&) = delete;
MovePicker(const Position&,
Move,
Depth,
const ButterflyHistory*,
const CapturePieceToHistory*,
const PieceToHistory**,
const PawnHistory*,
Move,
const Move*);
MovePicker(const Position&,
Move,
Depth,
const ButterflyHistory*,
const CapturePieceToHistory*,
const PieceToHistory**,
const PawnHistory*);
MovePicker(const Position&, Move, int, const CapturePieceToHistory*);
Move next_move(bool skipQuiets = false);
public:
MovePicker(const MovePicker&) = delete;
MovePicker& operator=(const MovePicker&) = delete;
MovePicker(const Position&, Move, Value, const CapturePieceToHistory*);
MovePicker(const Position&, Move, Depth, const ButterflyHistory*,
const CapturePieceToHistory*,
const PieceToHistory**,
Square);
MovePicker(const Position&, Move, Depth, const ButterflyHistory*,
const LowPlyHistory*,
const CapturePieceToHistory*,
const PieceToHistory**,
Move,
const Move*,
int);
Move next_move(bool skipQuiets = false);
private:
template<PickType T, typename Pred>
Move select(Pred);
template<GenType>
void score();
ExtMove* begin() { return cur; }
ExtMove* end() { return endMoves; }
private:
template<PickType T, typename Pred> Move select(Pred);
template<GenType> void score();
ExtMove* begin() { return cur; }
ExtMove* end() { return endMoves; }
const Position& pos;
const ButterflyHistory* mainHistory;
const CapturePieceToHistory* captureHistory;
const PieceToHistory** continuationHistory;
const PawnHistory* pawnHistory;
Move ttMove;
ExtMove refutations[3], *cur, *endMoves, *endBadCaptures, *beginBadQuiets, *endBadQuiets;
int stage;
int threshold;
Depth depth;
ExtMove moves[MAX_MOVES];
const Position& pos;
const ButterflyHistory* mainHistory;
const LowPlyHistory* lowPlyHistory;
const CapturePieceToHistory* captureHistory;
const PieceToHistory** continuationHistory;
Move ttMove;
ExtMove refutations[3], *cur, *endMoves, *endBadCaptures;
int stage;
Square recaptureSquare;
Value threshold;
Depth depth;
int ply;
ExtMove moves[MAX_MOVES];
};
} // namespace Stockfish
#endif // #ifndef MOVEPICK_H_INCLUDED
#endif // #ifndef MOVEPICK_H_INCLUDED
@@ -0,0 +1,54 @@
/*
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
+113 -417
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -18,465 +18,161 @@
// Code for calculating NNUE evaluation function
#include "evaluate_nnue.h"
#include <cmath>
#include <cstdlib>
#include <cstring>
#include <fstream>
#include <iomanip>
#include <iostream>
#include <optional>
#include <sstream>
#include <string_view>
#include <type_traits>
#include <unordered_map>
#include <set>
#include "../evaluate.h"
#include "../misc.h"
#include "../position.h"
#include "../types.h"
#include "../misc.h"
#include "../uci.h"
#include "nnue_accumulator.h"
#include "nnue_common.h"
namespace Stockfish::Eval::NNUE {
#include "evaluate_nnue.h"
// Input feature converter
LargePagePtr<FeatureTransformer<TransformedFeatureDimensionsBig, &StateInfo::accumulatorBig>>
featureTransformerBig;
LargePagePtr<FeatureTransformer<TransformedFeatureDimensionsSmall, &StateInfo::accumulatorSmall>>
featureTransformerSmall;
ExtPieceSquare kpp_board_index[PIECE_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 }
};
// Evaluation function
AlignedPtr<Network<TransformedFeatureDimensionsBig, L2Big, L3Big>> networkBig[LayerStacks];
AlignedPtr<Network<TransformedFeatureDimensionsSmall, L2Small, L3Small>> networkSmall[LayerStacks];
// Evaluation function file names
namespace Eval::NNUE {
namespace Detail {
// Input feature converter
AlignedPtr<FeatureTransformer> feature_transformer;
// Initialize the evaluation function parameters
template<typename T>
void initialize(AlignedPtr<T>& pointer) {
// Evaluation function
AlignedPtr<Network> network;
// Evaluation function file name
std::string fileName;
namespace Detail {
// Initialize the evaluation function parameters
template <typename T>
void Initialize(AlignedPtr<T>& pointer) {
pointer.reset(reinterpret_cast<T*>(std_aligned_alloc(alignof(T), sizeof(T))));
std::memset(pointer.get(), 0, sizeof(T));
}
}
template<typename T>
void initialize(LargePagePtr<T>& pointer) {
static_assert(alignof(T) <= 4096,
"aligned_large_pages_alloc() may fail for such a big alignment requirement of T");
pointer.reset(reinterpret_cast<T*>(aligned_large_pages_alloc(sizeof(T))));
std::memset(pointer.get(), 0, sizeof(T));
}
// Read evaluation function parameters
template<typename T>
bool read_parameters(std::istream& stream, T& reference) {
// Read evaluation function parameters
template <typename T>
bool ReadParameters(std::istream& stream, const AlignedPtr<T>& pointer) {
std::uint32_t header;
header = read_little_endian<std::uint32_t>(stream);
if (!stream || header != T::get_hash_value())
return false;
return reference.read_parameters(stream);
}
stream.read(reinterpret_cast<char*>(&header), sizeof(header));
if (!stream || header != T::GetHashValue()) return false;
return pointer->ReadParameters(stream);
}
// Write evaluation function parameters
template<typename T>
bool write_parameters(std::ostream& stream, const T& reference) {
} // namespace Detail
write_little_endian<std::uint32_t>(stream, T::get_hash_value());
return reference.write_parameters(stream);
}
// Initialize the evaluation function parameters
void Initialize() {
} // namespace Detail
Detail::Initialize(feature_transformer);
Detail::Initialize(network);
}
// Read network header
bool ReadHeader(std::istream& stream,
std::uint32_t* hash_value, std::string* architecture) {
// Initialize the evaluation function parameters
static void initialize(NetSize netSize) {
if (netSize == Small)
{
Detail::initialize(featureTransformerSmall);
for (std::size_t i = 0; i < LayerStacks; ++i)
Detail::initialize(networkSmall[i]);
}
else
{
Detail::initialize(featureTransformerBig);
for (std::size_t i = 0; i < LayerStacks; ++i)
Detail::initialize(networkBig[i]);
}
}
// Read network header
static bool read_header(std::istream& stream, std::uint32_t* hashValue, std::string* desc) {
std::uint32_t version, size;
version = read_little_endian<std::uint32_t>(stream);
*hashValue = read_little_endian<std::uint32_t>(stream);
size = read_little_endian<std::uint32_t>(stream);
if (!stream || version != Version)
return false;
desc->resize(size);
stream.read(&(*desc)[0], size);
stream.read(reinterpret_cast<char*>(&version), sizeof(version));
stream.read(reinterpret_cast<char*>(hash_value), sizeof(*hash_value));
stream.read(reinterpret_cast<char*>(&size), sizeof(size));
if (!stream || version != kVersion) return false;
architecture->resize(size);
stream.read(&(*architecture)[0], size);
return !stream.fail();
}
}
// Write network header
static bool write_header(std::ostream& stream, std::uint32_t hashValue, const std::string& desc) {
write_little_endian<std::uint32_t>(stream, Version);
write_little_endian<std::uint32_t>(stream, hashValue);
write_little_endian<std::uint32_t>(stream, std::uint32_t(desc.size()));
stream.write(&desc[0], desc.size());
return !stream.fail();
}
// Read network parameters
bool ReadParameters(std::istream& stream) {
// Read network parameters
static bool read_parameters(std::istream& stream, NetSize netSize, std::string& netDescription) {
std::uint32_t hashValue;
if (!read_header(stream, &hashValue, &netDescription))
return false;
if (hashValue != HashValue[netSize])
return false;
if (netSize == Big && !Detail::read_parameters(stream, *featureTransformerBig))
return false;
if (netSize == Small && !Detail::read_parameters(stream, *featureTransformerSmall))
return false;
for (std::size_t i = 0; i < LayerStacks; ++i)
{
if (netSize == Big && !Detail::read_parameters(stream, *(networkBig[i])))
return false;
if (netSize == Small && !Detail::read_parameters(stream, *(networkSmall[i])))
return false;
}
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;
return stream && stream.peek() == std::ios::traits_type::eof();
}
}
// Write network parameters
static bool
write_parameters(std::ostream& stream, NetSize netSize, const std::string& netDescription) {
// Proceed with the difference calculation if possible
static void UpdateAccumulatorIfPossible(const Position& pos) {
if (!write_header(stream, HashValue[netSize], netDescription))
return false;
if (netSize == Big && !Detail::write_parameters(stream, *featureTransformerBig))
return false;
if (netSize == Small && !Detail::write_parameters(stream, *featureTransformerSmall))
return false;
for (std::size_t i = 0; i < LayerStacks; ++i)
{
if (netSize == Big && !Detail::write_parameters(stream, *(networkBig[i])))
return false;
if (netSize == Small && !Detail::write_parameters(stream, *(networkSmall[i])))
return false;
}
return bool(stream);
}
feature_transformer->UpdateAccumulatorIfPossible(pos);
}
void hint_common_parent_position(const Position& pos) {
// Calculate the evaluation value
static Value ComputeScore(const Position& pos, bool refresh) {
int simpleEval = simple_eval(pos, pos.side_to_move());
if (std::abs(simpleEval) > 1050)
featureTransformerSmall->hint_common_access(pos);
else
featureTransformerBig->hint_common_access(pos);
}
// Evaluation function. Perform differential calculation.
template<NetSize Net_Size>
Value evaluate(const Position& pos, bool adjusted, int* complexity) {
// We manually align the arrays on the stack because with gcc < 9.3
// overaligning stack variables with alignas() doesn't work correctly.
constexpr uint64_t alignment = CacheLineSize;
constexpr int delta = 24;
#if defined(ALIGNAS_ON_STACK_VARIABLES_BROKEN)
TransformedFeatureType transformedFeaturesUnaligned
[FeatureTransformer < Net_Size == Small ? TransformedFeatureDimensionsSmall
: TransformedFeatureDimensionsBig,
nullptr > ::BufferSize + alignment / sizeof(TransformedFeatureType)];
auto* transformedFeatures = align_ptr_up<alignment>(&transformedFeaturesUnaligned[0]);
#else
alignas(alignment) TransformedFeatureType
transformedFeatures[FeatureTransformer < Net_Size == Small ? TransformedFeatureDimensionsSmall
: TransformedFeatureDimensionsBig,
nullptr > ::BufferSize];
#endif
ASSERT_ALIGNED(transformedFeatures, alignment);
const int bucket = (pos.count<ALL_PIECES>() - 1) / 4;
const auto psqt = Net_Size == Small
? featureTransformerSmall->transform(pos, transformedFeatures, bucket)
: featureTransformerBig->transform(pos, transformedFeatures, bucket);
const auto positional = Net_Size == Small ? networkSmall[bucket]->propagate(transformedFeatures)
: networkBig[bucket]->propagate(transformedFeatures);
if (complexity)
*complexity = std::abs(psqt - positional) / OutputScale;
// Give more value to positional evaluation when adjusted flag is set
if (adjusted)
return static_cast<Value>(((1024 - delta) * psqt + (1024 + delta) * positional)
/ (1024 * OutputScale));
else
return static_cast<Value>((psqt + positional) / OutputScale);
}
template Value evaluate<Big>(const Position& pos, bool adjusted, int* complexity);
template Value evaluate<Small>(const Position& pos, bool adjusted, int* complexity);
struct NnueEvalTrace {
static_assert(LayerStacks == PSQTBuckets);
Value psqt[LayerStacks];
Value positional[LayerStacks];
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<TransformedFeatureDimensionsBig, nullptr>::BufferSize
+ alignment / sizeof(TransformedFeatureType)];
auto* transformedFeatures = align_ptr_up<alignment>(&transformedFeaturesUnaligned[0]);
#else
alignas(alignment) TransformedFeatureType
transformedFeatures[FeatureTransformer<TransformedFeatureDimensionsBig, nullptr>::BufferSize];
#endif
ASSERT_ALIGNED(transformedFeatures, alignment);
NnueEvalTrace t{};
t.correctBucket = (pos.count<ALL_PIECES>() - 1) / 4;
for (IndexType bucket = 0; bucket < LayerStacks; ++bucket)
{
const auto materialist = featureTransformerBig->transform(pos, transformedFeatures, bucket);
const auto positional = networkBig[bucket]->propagate(transformedFeatures);
t.psqt[bucket] = static_cast<Value>(materialist / OutputScale);
t.positional[bucket] = static_cast<Value>(positional / OutputScale);
auto& accumulator = pos.state()->accumulator;
if (!refresh && accumulator.computed_score) {
return accumulator.score;
}
return t;
}
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);
constexpr std::string_view PieceToChar(" PNBRQK pnbrqk");
auto score = static_cast<Value>(output[0] / FV_SCALE);
accumulator.score = score;
accumulator.computed_score = true;
return accumulator.score;
}
// Converts a Value into (centi)pawns and writes it in a buffer.
// The buffer must have capacity for at least 5 chars.
static void format_cp_compact(Value v, char* buffer) {
// Load the evaluation function file
bool load_eval_file(const std::string& evalFile) {
buffer[0] = (v < 0 ? '-' : v > 0 ? '+' : ' ');
Initialize();
fileName = evalFile;
int cp = std::abs(UCI::to_cp(v));
if (cp >= 10000)
{
buffer[1] = '0' + cp / 10000;
cp %= 10000;
buffer[2] = '0' + cp / 1000;
cp %= 1000;
buffer[3] = '0' + cp / 100;
buffer[4] = ' ';
}
else if (cp >= 1000)
{
buffer[1] = '0' + cp / 1000;
cp %= 1000;
buffer[2] = '0' + cp / 100;
cp %= 100;
buffer[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;
}
}
std::ifstream stream(evalFile, std::ios::binary);
const bool result = ReadParameters(stream);
// Converts a Value into pawns, always keeping two decimals
static void format_cp_aligned_dot(Value v, std::stringstream& stream) {
return result;
}
const double pawns = std::abs(0.01 * UCI::to_cp(v));
// Evaluation function. Perform differential calculation.
Value evaluate(const Position& pos) {
Value v = ComputeScore(pos, false);
v = Utility::clamp(v, VALUE_TB_LOSS_IN_MAX_PLY + 1, VALUE_TB_WIN_IN_MAX_PLY - 1);
stream << (v < 0 ? '-'
: v > 0 ? '+'
: ' ')
<< std::setiosflags(std::ios::fixed) << std::setw(6) << std::setprecision(2) << pawns;
}
return v;
}
// Evaluation function. Perform full calculation.
Value compute_eval(const Position& pos) {
return ComputeScore(pos, true);
}
// 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) {
// Proceed with the difference calculation if possible
void update_eval(const Position& pos) {
UpdateAccumulatorIfPossible(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<NNUE::Big>(pos);
base = pos.side_to_move() == WHITE ? base : -base;
for (File f = FILE_A; f <= FILE_H; ++f)
for (Rank r = RANK_1; r <= RANK_8; ++r)
{
Square sq = make_square(f, r);
Piece pc = pos.piece_on(sq);
Value v = VALUE_NONE;
if (pc != NO_PIECE && type_of(pc) != KING)
{
auto st = pos.state();
pos.remove_piece(sq);
st->accumulatorBig.computed[WHITE] = false;
st->accumulatorBig.computed[BLACK] = false;
Value eval = evaluate<NNUE::Big>(pos);
eval = pos.side_to_move() == WHITE ? eval : -eval;
v = base - eval;
pos.put_piece(pc, sq);
st->accumulatorBig.computed[WHITE] = false;
st->accumulatorBig.computed[BLACK] = false;
}
writeSquare(f, r, pc, v);
}
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)
{
ss << "| " << bucket << " ";
ss << " | ";
format_cp_aligned_dot(t.psqt[bucket], ss);
ss << " "
<< " | ";
format_cp_aligned_dot(t.positional[bucket], ss);
ss << " "
<< " | ";
format_cp_aligned_dot(t.psqt[bucket] + t.positional[bucket], ss);
ss << " "
<< " |";
if (bucket == t.correctBucket)
ss << " <-- this bucket is used";
ss << '\n';
}
ss << "+------------+------------+------------+------------+\n";
return ss.str();
}
// Load eval, from a file stream or a memory stream
std::optional<std::string> load_eval(std::istream& stream, NetSize netSize) {
initialize(netSize);
std::string netDescription;
return read_parameters(stream, netSize, netDescription) ? std::make_optional(netDescription)
: std::nullopt;
}
// Save eval, to a file stream or a memory stream
bool save_eval(std::ostream& stream,
NetSize netSize,
const std::string& name,
const std::string& netDescription) {
if (name.empty() || name == "None")
return false;
return write_parameters(stream, netSize, netDescription);
}
// Save eval, to a file given by its name
bool save_eval(const std::optional<std::string>& filename,
NetSize netSize,
const std::unordered_map<Eval::NNUE::NetSize, Eval::EvalFile>& evalFiles) {
std::string actualFilename;
std::string msg;
if (filename.has_value())
actualFilename = filename.value();
else
{
if (evalFiles.at(netSize).current
!= (netSize == Small ? EvalFileDefaultNameSmall : EvalFileDefaultNameBig))
{
msg = "Failed to export a net. "
"A non-embedded net can only be saved if the filename is specified";
sync_cout << msg << sync_endl;
return false;
}
actualFilename = (netSize == Small ? EvalFileDefaultNameSmall : EvalFileDefaultNameBig);
}
std::ofstream stream(actualFilename, std::ios_base::binary);
bool saved = save_eval(stream, netSize, evalFiles.at(netSize).current,
evalFiles.at(netSize).netDescription);
msg = saved ? "Network saved successfully to " + actualFilename : "Failed to export a net";
sync_cout << msg << sync_endl;
return saved;
}
} // namespace Stockfish::Eval::NNUE
} // namespace Eval::NNUE
+16 -61
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@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -21,73 +21,28 @@
#ifndef NNUE_EVALUATE_NNUE_H_INCLUDED
#define NNUE_EVALUATE_NNUE_H_INCLUDED
#include <cstdint>
#include <iosfwd>
#include <memory>
#include <optional>
#include <string>
#include <unordered_map>
#include "../misc.h"
#include "../types.h"
#include "nnue_architecture.h"
#include "nnue_feature_transformer.h"
namespace Stockfish {
class Position;
#include <memory>
namespace Eval {
struct EvalFile;
}
namespace Eval::NNUE {
}
// Hash value of evaluation function structure
constexpr std::uint32_t kHashValue =
FeatureTransformer::GetHashValue() ^ Network::GetHashValue();
namespace Stockfish::Eval::NNUE {
// Hash value of evaluation function structure
constexpr std::uint32_t HashValue[2] = {
FeatureTransformer<TransformedFeatureDimensionsBig, nullptr>::get_hash_value()
^ Network<TransformedFeatureDimensionsBig, L2Big, L3Big>::get_hash_value(),
FeatureTransformer<TransformedFeatureDimensionsSmall, nullptr>::get_hash_value()
^ Network<TransformedFeatureDimensionsSmall, L2Small, L3Small>::get_hash_value()};
// Deleter for automating release of memory area
template<typename T>
struct AlignedDeleter {
// Deleter for automating release of memory area
template <typename T>
struct AlignedDeleter {
void operator()(T* ptr) const {
ptr->~T();
std_aligned_free(ptr);
ptr->~T();
std_aligned_free(ptr);
}
};
};
template<typename T>
struct LargePageDeleter {
void operator()(T* ptr) const {
ptr->~T();
aligned_large_pages_free(ptr);
}
};
template <typename T>
using AlignedPtr = std::unique_ptr<T, AlignedDeleter<T>>;
template<typename T>
using AlignedPtr = std::unique_ptr<T, AlignedDeleter<T>>;
} // namespace Eval::NNUE
template<typename T>
using LargePagePtr = std::unique_ptr<T, LargePageDeleter<T>>;
std::string trace(Position& pos);
template<NetSize Net_Size>
Value evaluate(const Position& pos, bool adjusted = false, int* complexity = nullptr);
void hint_common_parent_position(const Position& pos);
std::optional<std::string> load_eval(std::istream& stream, NetSize netSize);
bool save_eval(std::ostream& stream,
NetSize netSize,
const std::string& name,
const std::string& netDescription);
bool save_eval(const std::optional<std::string>& filename,
NetSize netSize,
const std::unordered_map<Eval::NNUE::NetSize, Eval::EvalFile>&);
} // namespace Stockfish::Eval::NNUE
#endif // #ifndef NNUE_EVALUATE_NNUE_H_INCLUDED
#endif // #ifndef NNUE_EVALUATE_NNUE_H_INCLUDED
+135
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@@ -0,0 +1,135 @@
/*
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.pieceId[0] == PIECE_ID_KING + perspective;
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
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -16,19 +16,30 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef BENCHMARK_H_INCLUDED
#define BENCHMARK_H_INCLUDED
//Common header of input features of NNUE evaluation function
#include <iosfwd>
#include <string>
#include <vector>
#ifndef NNUE_FEATURES_COMMON_H_INCLUDED
#define NNUE_FEATURES_COMMON_H_INCLUDED
namespace Stockfish {
#include "../../evaluate.h"
#include "../nnue_common.h"
class Position;
namespace Eval::NNUE::Features {
std::vector<std::string> setup_bench(const Position&, std::istream&);
class IndexList;
} // namespace Stockfish
template <typename... FeatureTypes>
class FeatureSet;
#endif // #ifndef BENCHMARK_H_INCLUDED
// Trigger to perform full calculations instead of difference only
enum class TriggerEvent {
kFriendKingMoved // calculate full evaluation when own king moves
};
enum class Side {
kFriend // side to move
};
} // namespace Eval::NNUE::Features
#endif // #ifndef NNUE_FEATURES_COMMON_H_INCLUDED
-86
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@@ -1,86 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Stockfish is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
//Definition of input features HalfKAv2_hm of NNUE evaluation function
#include "half_ka_v2_hm.h"
#include "../../bitboard.h"
#include "../../position.h"
#include "../../types.h"
#include "../nnue_common.h"
namespace Stockfish::Eval::NNUE::Features {
// Index of a feature for a given king position and another piece on some square
template<Color Perspective>
inline IndexType HalfKAv2_hm::make_index(Square s, Piece pc, Square ksq) {
return IndexType((int(s) ^ OrientTBL[Perspective][ksq]) + PieceSquareIndex[Perspective][pc]
+ KingBuckets[Perspective][ksq]);
}
// Get a list of indices for active features
template<Color Perspective>
void HalfKAv2_hm::append_active_indices(const Position& pos, IndexList& active) {
Square ksq = pos.square<KING>(Perspective);
Bitboard bb = pos.pieces();
while (bb)
{
Square s = pop_lsb(bb);
active.push_back(make_index<Perspective>(s, pos.piece_on(s), ksq));
}
}
// Explicit template instantiations
template void HalfKAv2_hm::append_active_indices<WHITE>(const Position& pos, IndexList& active);
template void HalfKAv2_hm::append_active_indices<BLACK>(const Position& pos, IndexList& active);
// Get a list of indices for recently changed features
template<Color Perspective>
void HalfKAv2_hm::append_changed_indices(Square ksq,
const DirtyPiece& dp,
IndexList& removed,
IndexList& added) {
for (int i = 0; i < dp.dirty_num; ++i)
{
if (dp.from[i] != SQ_NONE)
removed.push_back(make_index<Perspective>(dp.from[i], dp.piece[i], ksq));
if (dp.to[i] != SQ_NONE)
added.push_back(make_index<Perspective>(dp.to[i], dp.piece[i], ksq));
}
}
// Explicit template instantiations
template void HalfKAv2_hm::append_changed_indices<WHITE>(Square ksq,
const DirtyPiece& dp,
IndexList& removed,
IndexList& added);
template void HalfKAv2_hm::append_changed_indices<BLACK>(Square ksq,
const DirtyPiece& dp,
IndexList& removed,
IndexList& added);
int HalfKAv2_hm::update_cost(const StateInfo* st) { return st->dirtyPiece.dirty_num; }
int HalfKAv2_hm::refresh_cost(const Position& pos) { return pos.count<ALL_PIECES>(); }
bool HalfKAv2_hm::requires_refresh(const StateInfo* st, Color perspective) {
return st->dirtyPiece.piece[0] == make_piece(perspective, KING);
}
} // namespace Stockfish::Eval::NNUE::Features
-150
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@@ -1,150 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Stockfish is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
//Definition of input features HalfKP of NNUE evaluation function
#ifndef NNUE_FEATURES_HALF_KA_V2_HM_H_INCLUDED
#define NNUE_FEATURES_HALF_KA_V2_HM_H_INCLUDED
#include <cstdint>
#include "../../misc.h"
#include "../../types.h"
#include "../nnue_common.h"
namespace Stockfish {
struct StateInfo;
class Position;
}
namespace Stockfish::Eval::NNUE::Features {
// Feature HalfKAv2_hm: Combination of the position of own king and the
// position of pieces. Position mirrored such that king is always on e..h files.
class HalfKAv2_hm {
// 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}};
// Index of a feature for a given king position and another piece on some square
template<Color Perspective>
static IndexType make_index(Square s, Piece pc, Square ksq);
public:
// Feature name
static constexpr const char* Name = "HalfKAv2_hm(Friend)";
// Hash value embedded in the evaluation file
static constexpr std::uint32_t HashValue = 0x7f234cb8u;
// Number of feature dimensions
static constexpr IndexType Dimensions =
static_cast<IndexType>(SQUARE_NB) * static_cast<IndexType>(PS_NB) / 2;
#define B(v) (v * PS_NB)
// clang-format off
static constexpr int KingBuckets[COLOR_NB][SQUARE_NB] = {
{ B(28), B(29), B(30), B(31), B(31), B(30), B(29), B(28),
B(24), B(25), B(26), B(27), B(27), B(26), B(25), B(24),
B(20), B(21), B(22), B(23), B(23), B(22), B(21), B(20),
B(16), B(17), B(18), B(19), B(19), B(18), B(17), B(16),
B(12), B(13), B(14), B(15), B(15), B(14), B(13), B(12),
B( 8), B( 9), B(10), B(11), B(11), B(10), B( 9), B( 8),
B( 4), B( 5), B( 6), B( 7), B( 7), B( 6), B( 5), B( 4),
B( 0), B( 1), B( 2), B( 3), B( 3), B( 2), B( 1), B( 0) },
{ B( 0), B( 1), B( 2), B( 3), B( 3), B( 2), B( 1), B( 0),
B( 4), B( 5), B( 6), B( 7), B( 7), B( 6), B( 5), B( 4),
B( 8), B( 9), B(10), B(11), B(11), B(10), B( 9), B( 8),
B(12), B(13), B(14), B(15), B(15), B(14), B(13), B(12),
B(16), B(17), B(18), B(19), B(19), B(18), B(17), B(16),
B(20), B(21), B(22), B(23), B(23), B(22), B(21), B(20),
B(24), B(25), B(26), B(27), B(27), B(26), B(25), B(24),
B(28), B(29), B(30), B(31), B(31), B(30), B(29), B(28) }
};
// clang-format on
#undef B
// clang-format off
// Orient a square according to perspective (rotates by 180 for black)
static constexpr int OrientTBL[COLOR_NB][SQUARE_NB] = {
{ SQ_H1, SQ_H1, SQ_H1, SQ_H1, SQ_A1, SQ_A1, SQ_A1, SQ_A1,
SQ_H1, SQ_H1, SQ_H1, SQ_H1, SQ_A1, SQ_A1, SQ_A1, SQ_A1,
SQ_H1, SQ_H1, SQ_H1, SQ_H1, SQ_A1, SQ_A1, SQ_A1, SQ_A1,
SQ_H1, SQ_H1, SQ_H1, SQ_H1, SQ_A1, SQ_A1, SQ_A1, SQ_A1,
SQ_H1, SQ_H1, SQ_H1, SQ_H1, SQ_A1, SQ_A1, SQ_A1, SQ_A1,
SQ_H1, SQ_H1, SQ_H1, SQ_H1, SQ_A1, SQ_A1, SQ_A1, SQ_A1,
SQ_H1, SQ_H1, SQ_H1, SQ_H1, SQ_A1, SQ_A1, SQ_A1, SQ_A1,
SQ_H1, SQ_H1, SQ_H1, SQ_H1, SQ_A1, SQ_A1, SQ_A1, SQ_A1 },
{ SQ_H8, SQ_H8, SQ_H8, SQ_H8, SQ_A8, SQ_A8, SQ_A8, SQ_A8,
SQ_H8, SQ_H8, SQ_H8, SQ_H8, SQ_A8, SQ_A8, SQ_A8, SQ_A8,
SQ_H8, SQ_H8, SQ_H8, SQ_H8, SQ_A8, SQ_A8, SQ_A8, SQ_A8,
SQ_H8, SQ_H8, SQ_H8, SQ_H8, SQ_A8, SQ_A8, SQ_A8, SQ_A8,
SQ_H8, SQ_H8, SQ_H8, SQ_H8, SQ_A8, SQ_A8, SQ_A8, SQ_A8,
SQ_H8, SQ_H8, SQ_H8, SQ_H8, SQ_A8, SQ_A8, SQ_A8, SQ_A8,
SQ_H8, SQ_H8, SQ_H8, SQ_H8, SQ_A8, SQ_A8, SQ_A8, SQ_A8,
SQ_H8, SQ_H8, SQ_H8, SQ_H8, SQ_A8, SQ_A8, SQ_A8, SQ_A8 }
};
// clang-format on
// Maximum number of simultaneously active features.
static constexpr IndexType MaxActiveDimensions = 32;
using IndexList = ValueList<IndexType, MaxActiveDimensions>;
// Get a list of indices for active features
template<Color Perspective>
static void append_active_indices(const Position& pos, IndexList& active);
// Get a list of indices for recently changed features
template<Color Perspective>
static void
append_changed_indices(Square ksq, const DirtyPiece& dp, IndexList& removed, IndexList& added);
// Returns the cost of updating one perspective, the most costly one.
// Assumes no refresh needed.
static int update_cost(const StateInfo* st);
static int refresh_cost(const Position& pos);
// Returns whether the change stored in this StateInfo means
// that a full accumulator refresh is required.
static bool requires_refresh(const StateInfo* st, Color perspective);
};
} // namespace Stockfish::Eval::NNUE::Features
#endif // #ifndef NNUE_FEATURES_HALF_KA_V2_HM_H_INCLUDED
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/*
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 {
// Find the index of the feature quantity from the king position and PieceSquare
template <Side AssociatedKing>
inline IndexType HalfKP<AssociatedKing>::MakeIndex(Square sq_k, PieceSquare p) {
return static_cast<IndexType>(PS_END) * static_cast<IndexType>(sq_k) + p;
}
// Get pieces information
template <Side AssociatedKing>
inline void HalfKP<AssociatedKing>::GetPieces(
const Position& pos, Color perspective,
PieceSquare** pieces, Square* sq_target_k) {
*pieces = (perspective == BLACK) ?
pos.eval_list()->piece_list_fb() :
pos.eval_list()->piece_list_fw();
const PieceId target = (AssociatedKing == Side::kFriend) ?
static_cast<PieceId>(PIECE_ID_KING + perspective) :
static_cast<PieceId>(PIECE_ID_KING + ~perspective);
*sq_target_k = static_cast<Square>(((*pieces)[target] - PS_W_KING) % SQUARE_NB);
}
// Get a list of indices for active features
template <Side AssociatedKing>
void HalfKP<AssociatedKing>::AppendActiveIndices(
const Position& pos, Color perspective, IndexList* active) {
// Do nothing if array size is small to avoid compiler warning
if (RawFeatures::kMaxActiveDimensions < kMaxActiveDimensions) return;
PieceSquare* pieces;
Square sq_target_k;
GetPieces(pos, perspective, &pieces, &sq_target_k);
for (PieceId i = PIECE_ID_ZERO; i < PIECE_ID_KING; ++i) {
if (pieces[i] != PS_NONE) {
active->push_back(MakeIndex(sq_target_k, pieces[i]));
}
}
}
// 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) {
PieceSquare* pieces;
Square sq_target_k;
GetPieces(pos, perspective, &pieces, &sq_target_k);
const auto& dp = pos.state()->dirtyPiece;
for (int i = 0; i < dp.dirty_num; ++i) {
if (dp.pieceId[i] >= PIECE_ID_KING) continue;
const auto old_p = static_cast<PieceSquare>(
dp.old_piece[i].from[perspective]);
if (old_p != PS_NONE) {
removed->push_back(MakeIndex(sq_target_k, old_p));
}
const auto new_p = static_cast<PieceSquare>(
dp.new_piece[i].from[perspective]);
if (new_p != PS_NONE) {
added->push_back(MakeIndex(sq_target_k, new_p));
}
}
}
template class HalfKP<Side::kFriend>;
} // namespace Eval::NNUE::Features
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/*
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 = PIECE_ID_KING;
// 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);
// Index of a feature for a given king position and another piece on some square
static IndexType MakeIndex(Square sq_k, PieceSquare p);
private:
// Get pieces information
static void GetPieces(const Position& pos, Color perspective,
PieceSquare** pieces, Square* sq_target_k);
};
} // namespace Eval::NNUE::Features
#endif // #ifndef NNUE_FEATURES_HALF_KP_H_INCLUDED
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/*
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
+166 -259
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@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -21,288 +21,195 @@
#ifndef NNUE_LAYERS_AFFINE_TRANSFORM_H_INCLUDED
#define NNUE_LAYERS_AFFINE_TRANSFORM_H_INCLUDED
#include <cstdint>
#include <iostream>
#include "../nnue_common.h"
#include "simd.h"
/*
This file contains the definition for a fully connected layer (aka affine transform).
namespace Eval::NNUE::Layers {
- expected use-case is for when PaddedInputDimensions == 32 and InputDimensions <= 32.
- that's why AVX512 is hard to implement
- expected use-case is small layers
- inputs are processed in chunks of 4, weights are respectively transposed
- accumulation happens directly to int32s
*/
// Affine transformation layer
template <typename PreviousLayer, IndexType OutputDimensions>
class AffineTransform {
public:
// Input/output type
using InputType = typename PreviousLayer::OutputType;
using OutputType = std::int32_t;
static_assert(std::is_same<InputType, std::uint8_t>::value, "");
namespace Stockfish::Eval::NNUE::Layers {
// Number of input/output dimensions
static constexpr IndexType kInputDimensions =
PreviousLayer::kOutputDimensions;
static constexpr IndexType kOutputDimensions = OutputDimensions;
static constexpr IndexType kPaddedInputDimensions =
CeilToMultiple<IndexType>(kInputDimensions, kMaxSimdWidth);
// Fallback implementation for older/other architectures.
// Requires the input to be padded to at least 16 values.
#if !defined(USE_SSSE3)
template<IndexType InputDimensions, IndexType PaddedInputDimensions, IndexType OutputDimensions>
static void affine_transform_non_ssse3(std::int32_t* output,
const std::int8_t* weights,
const std::int32_t* biases,
const std::uint8_t* input) {
#if defined(USE_SSE2) || defined(USE_NEON_DOTPROD) || defined(USE_NEON)
#if defined(USE_SSE2)
// At least a multiple of 16, with SSE2.
constexpr IndexType NumChunks = ceil_to_multiple<IndexType>(InputDimensions, 16) / 16;
const __m128i Zeros = _mm_setzero_si128();
const auto inputVector = reinterpret_cast<const __m128i*>(input);
// Size of forward propagation buffer used in this layer
static constexpr std::size_t kSelfBufferSize =
CeilToMultiple(kOutputDimensions * sizeof(OutputType), kCacheLineSize);
#elif defined(USE_NEON_DOTPROD)
constexpr IndexType NumChunks = ceil_to_multiple<IndexType>(InputDimensions, 16) / 16;
const auto inputVector = reinterpret_cast<const int8x16_t*>(input);
// Size of the forward propagation buffer used from the input layer to this layer
static constexpr std::size_t kBufferSize =
PreviousLayer::kBufferSize + kSelfBufferSize;
#elif defined(USE_NEON)
constexpr IndexType NumChunks = ceil_to_multiple<IndexType>(InputDimensions, 16) / 16;
const auto inputVector = reinterpret_cast<const int8x8_t*>(input);
#endif
// 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;
}
for (IndexType i = 0; i < OutputDimensions; ++i)
{
const IndexType offset = i * PaddedInputDimensions;
// Read network parameters
bool ReadParameters(std::istream& stream) {
if (!previous_layer_.ReadParameters(stream)) return false;
stream.read(reinterpret_cast<char*>(biases_),
kOutputDimensions * sizeof(BiasType));
stream.read(reinterpret_cast<char*>(weights_),
kOutputDimensions * kPaddedInputDimensions *
sizeof(WeightType));
return !stream.fail();
}
#if defined(USE_SSE2)
__m128i sumLo = _mm_cvtsi32_si128(biases[i]);
__m128i sumHi = Zeros;
const auto row = reinterpret_cast<const __m128i*>(&weights[offset]);
for (IndexType j = 0; j < NumChunks; ++j)
{
__m128i row_j = _mm_load_si128(&row[j]);
__m128i input_j = _mm_load_si128(&inputVector[j]);
__m128i extendedRowLo = _mm_srai_epi16(_mm_unpacklo_epi8(row_j, row_j), 8);
__m128i extendedRowHi = _mm_srai_epi16(_mm_unpackhi_epi8(row_j, row_j), 8);
__m128i extendedInputLo = _mm_unpacklo_epi8(input_j, Zeros);
__m128i extendedInputHi = _mm_unpackhi_epi8(input_j, Zeros);
__m128i productLo = _mm_madd_epi16(extendedRowLo, extendedInputLo);
__m128i productHi = _mm_madd_epi16(extendedRowHi, extendedInputHi);
sumLo = _mm_add_epi32(sumLo, productLo);
sumHi = _mm_add_epi32(sumHi, productHi);
// 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);
#if defined(USE_AVX512)
constexpr IndexType kNumChunks = kPaddedInputDimensions / (kSimdWidth * 2);
const __m512i kOnes = _mm512_set1_epi16(1);
const auto input_vector = reinterpret_cast<const __m512i*>(input);
#elif defined(USE_AVX2)
constexpr IndexType kNumChunks = kPaddedInputDimensions / kSimdWidth;
const __m256i kOnes = _mm256_set1_epi16(1);
const auto input_vector = reinterpret_cast<const __m256i*>(input);
#elif defined(USE_SSSE3)
constexpr IndexType kNumChunks = kPaddedInputDimensions / kSimdWidth;
const __m128i kOnes = _mm_set1_epi16(1);
const auto input_vector = reinterpret_cast<const __m128i*>(input);
#elif defined(USE_NEON)
constexpr IndexType kNumChunks = kPaddedInputDimensions / kSimdWidth;
const auto input_vector = reinterpret_cast<const int8x8_t*>(input);
#endif
for (IndexType i = 0; i < kOutputDimensions; ++i) {
const IndexType offset = i * kPaddedInputDimensions;
#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(__MINGW32__) || defined(__MINGW64__)
__m512i product = _mm512_maddubs_epi16(_mm512_loadu_si512(&input_vector[j]), _mm512_load_si512(&row[j]));
#else
__m512i product = _mm512_maddubs_epi16(_mm512_load_si512(&input_vector[j]), _mm512_load_si512(&row[j]));
#endif
product = _mm512_madd_epi16(product, kOnes);
sum = _mm512_add_epi32(sum, product);
}
__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);
output[i] = _mm512_reduce_add_epi32(sum) + biases_[i];
#elif defined(USE_NEON_DOTPROD)
int32x4_t sum = {biases[i]};
const auto row = reinterpret_cast<const int8x16_t*>(&weights[offset]);
for (IndexType j = 0; j < NumChunks; ++j)
// 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)
{
sum = vdotq_s32(sum, inputVector[j], row[j]);
const auto iv_256 = reinterpret_cast<const __m256i*>(input);
const auto row_256 = reinterpret_cast<const __m256i*>(&weights_[offset]);
int j = kNumChunks * 2;
#if defined(__MINGW32__) || defined(__MINGW64__) // See HACK comment below in AVX2.
__m256i sum256 = _mm256_maddubs_epi16(_mm256_loadu_si256(&iv_256[j]), _mm256_load_si256(&row_256[j]));
#else
__m256i sum256 = _mm256_maddubs_epi16(_mm256_load_si256(&iv_256[j]), _mm256_load_si256(&row_256[j]));
#endif
sum256 = _mm256_madd_epi16(sum256, _mm256_set1_epi16(1));
sum256 = _mm256_hadd_epi32(sum256, sum256);
sum256 = _mm256_hadd_epi32(sum256, sum256);
const __m128i lo = _mm256_extracti128_si256(sum256, 0);
const __m128i hi = _mm256_extracti128_si256(sum256, 1);
output[i] += _mm_cvtsi128_si32(lo) + _mm_cvtsi128_si32(hi);
}
output[i] = vaddvq_s32(sum);
#elif defined(USE_NEON)
int32x4_t sum = {biases[i]};
const auto row = reinterpret_cast<const int8x8_t*>(&weights[offset]);
for (IndexType j = 0; j < NumChunks; ++j)
{
int16x8_t product = vmull_s8(inputVector[j * 2], row[j * 2]);
product = vmlal_s8(product, inputVector[j * 2 + 1], row[j * 2 + 1]);
sum = vpadalq_s16(sum, product);
#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) {
__m256i product = _mm256_maddubs_epi16(
#if defined(__MINGW32__) || defined(__MINGW64__)
// HACK: Use _mm256_loadu_si256() instead of _mm256_load_si256. Because the binary
// compiled with g++ in MSYS2 crashes here because the output memory is not aligned
// even though alignas is specified.
_mm256_loadu_si256
#else
_mm256_load_si256
#endif
(&input_vector[j]), _mm256_load_si256(&row[j]));
product = _mm256_madd_epi16(product, kOnes);
sum = _mm256_add_epi32(sum, product);
}
sum = _mm256_hadd_epi32(sum, sum);
sum = _mm256_hadd_epi32(sum, sum);
const __m128i lo = _mm256_extracti128_si256(sum, 0);
const __m128i hi = _mm256_extracti128_si256(sum, 1);
output[i] = _mm_cvtsi128_si32(lo) + _mm_cvtsi128_si32(hi) + biases_[i];
#elif defined(USE_SSSE3)
__m128i sum = _mm_cvtsi32_si128(biases_[i]);
const auto row = reinterpret_cast<const __m128i*>(&weights_[offset]);
for (IndexType j = 0; j < kNumChunks; ++j) {
__m128i product = _mm_maddubs_epi16(
_mm_load_si128(&input_vector[j]), _mm_load_si128(&row[j]));
product = _mm_madd_epi16(product, kOnes);
sum = _mm_add_epi32(sum, product);
}
sum = _mm_hadd_epi32(sum, sum);
sum = _mm_hadd_epi32(sum, sum);
output[i] = _mm_cvtsi128_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]);
sum = vpadalq_s16(sum, product);
}
output[i] = sum[0] + sum[1] + sum[2] + sum[3];
#endif
}
#else
std::memcpy(output, biases, sizeof(std::int32_t) * OutputDimensions);
// Traverse weights in transpose order to take advantage of input sparsity
for (IndexType i = 0; i < InputDimensions; ++i)
if (input[i])
{
const std::int8_t* w = &weights[i];
const int in = input[i];
for (IndexType j = 0; j < OutputDimensions; ++j)
output[j] += w[j * PaddedInputDimensions] * in;
#else
OutputType sum = biases_[i];
for (IndexType j = 0; j < kInputDimensions; ++j) {
sum += weights_[offset + j] * input[j];
}
#endif
}
#endif
output[i] = sum;
#endif
template<IndexType InDims, IndexType OutDims>
class AffineTransform {
public:
// Input/output type
using InputType = std::uint8_t;
using OutputType = std::int32_t;
// Number of input/output dimensions
static constexpr IndexType InputDimensions = InDims;
static constexpr IndexType OutputDimensions = OutDims;
static constexpr IndexType PaddedInputDimensions =
ceil_to_multiple<IndexType>(InputDimensions, MaxSimdWidth);
static constexpr IndexType PaddedOutputDimensions =
ceil_to_multiple<IndexType>(OutputDimensions, MaxSimdWidth);
using OutputBuffer = OutputType[PaddedOutputDimensions];
// Hash value embedded in the evaluation file
static constexpr std::uint32_t get_hash_value(std::uint32_t prevHash) {
std::uint32_t hashValue = 0xCC03DAE4u;
hashValue += OutputDimensions;
hashValue ^= prevHash >> 1;
hashValue ^= prevHash << 31;
return hashValue;
}
static constexpr IndexType get_weight_index_scrambled(IndexType i) {
return (i / 4) % (PaddedInputDimensions / 4) * OutputDimensions * 4
+ i / PaddedInputDimensions * 4 + i % 4;
}
static constexpr IndexType get_weight_index(IndexType i) {
#if defined(USE_SSSE3)
return get_weight_index_scrambled(i);
#else
return i;
#endif
}
// Read network parameters
bool read_parameters(std::istream& stream) {
read_little_endian<BiasType>(stream, biases, OutputDimensions);
for (IndexType i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
weights[get_weight_index(i)] = read_little_endian<WeightType>(stream);
return !stream.fail();
}
// Write network parameters
bool write_parameters(std::ostream& stream) const {
write_little_endian<BiasType>(stream, biases, OutputDimensions);
for (IndexType i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
write_little_endian<WeightType>(stream, weights[get_weight_index(i)]);
return !stream.fail();
}
// Forward propagation
void propagate(const InputType* input, OutputType* output) const {
#if defined(USE_SSSE3)
if constexpr (OutputDimensions > 1)
{
#if defined(USE_AVX512)
using vec_t = __m512i;
#define vec_setzero _mm512_setzero_si512
#define vec_set_32 _mm512_set1_epi32
#define vec_add_dpbusd_32 Simd::m512_add_dpbusd_epi32
#define vec_hadd Simd::m512_hadd
#elif defined(USE_AVX2)
using vec_t = __m256i;
#define vec_setzero _mm256_setzero_si256
#define vec_set_32 _mm256_set1_epi32
#define vec_add_dpbusd_32 Simd::m256_add_dpbusd_epi32
#define vec_hadd Simd::m256_hadd
#elif defined(USE_SSSE3)
using vec_t = __m128i;
#define vec_setzero _mm_setzero_si128
#define vec_set_32 _mm_set1_epi32
#define vec_add_dpbusd_32 Simd::m128_add_dpbusd_epi32
#define vec_hadd Simd::m128_hadd
#endif
static constexpr IndexType OutputSimdWidth = sizeof(vec_t) / sizeof(OutputType);
static_assert(OutputDimensions % OutputSimdWidth == 0);
constexpr IndexType NumChunks = ceil_to_multiple<IndexType>(InputDimensions, 8) / 4;
constexpr IndexType NumRegs = OutputDimensions / OutputSimdWidth;
const auto input32 = reinterpret_cast<const std::int32_t*>(input);
const vec_t* biasvec = reinterpret_cast<const vec_t*>(biases);
vec_t acc[NumRegs];
for (IndexType k = 0; k < NumRegs; ++k)
acc[k] = biasvec[k];
for (IndexType i = 0; i < NumChunks; ++i)
{
const vec_t in0 = vec_set_32(input32[i]);
const auto col0 =
reinterpret_cast<const vec_t*>(&weights[i * OutputDimensions * 4]);
for (IndexType k = 0; k < NumRegs; ++k)
vec_add_dpbusd_32(acc[k], in0, col0[k]);
}
vec_t* outptr = reinterpret_cast<vec_t*>(output);
for (IndexType k = 0; k < NumRegs; ++k)
outptr[k] = acc[k];
#undef vec_setzero
#undef vec_set_32
#undef vec_add_dpbusd_32
#undef vec_hadd
}
else if constexpr (OutputDimensions == 1)
{
// We cannot use AVX512 for the last layer because there are only 32 inputs
// and the buffer is not padded to 64 elements.
#if defined(USE_AVX2)
using vec_t = __m256i;
#define vec_setzero _mm256_setzero_si256
#define vec_set_32 _mm256_set1_epi32
#define vec_add_dpbusd_32 Simd::m256_add_dpbusd_epi32
#define vec_hadd Simd::m256_hadd
#elif defined(USE_SSSE3)
using vec_t = __m128i;
#define vec_setzero _mm_setzero_si128
#define vec_set_32 _mm_set1_epi32
#define vec_add_dpbusd_32 Simd::m128_add_dpbusd_epi32
#define vec_hadd Simd::m128_hadd
#endif
const auto inputVector = reinterpret_cast<const vec_t*>(input);
static constexpr IndexType InputSimdWidth = sizeof(vec_t) / sizeof(InputType);
static_assert(PaddedInputDimensions % InputSimdWidth == 0);
constexpr IndexType NumChunks = PaddedInputDimensions / InputSimdWidth;
vec_t sum0 = vec_setzero();
const auto row0 = reinterpret_cast<const vec_t*>(&weights[0]);
for (int j = 0; j < int(NumChunks); ++j)
{
const vec_t in = inputVector[j];
vec_add_dpbusd_32(sum0, in, row0[j]);
}
output[0] = vec_hadd(sum0, biases[0]);
#undef vec_setzero
#undef vec_set_32
#undef vec_add_dpbusd_32
#undef vec_hadd
}
#else
// Use old implementation for the other architectures.
affine_transform_non_ssse3<InputDimensions, PaddedInputDimensions, OutputDimensions>(
output, weights, biases, input);
#endif
}
return output;
}
private:
using BiasType = OutputType;
using BiasType = OutputType;
using WeightType = std::int8_t;
alignas(CacheLineSize) BiasType biases[OutputDimensions];
alignas(CacheLineSize) WeightType weights[OutputDimensions * PaddedInputDimensions];
};
PreviousLayer previous_layer_;
} // namespace Stockfish::Eval::NNUE::Layers
alignas(kCacheLineSize) BiasType biases_[kOutputDimensions];
alignas(kCacheLineSize)
WeightType weights_[kOutputDimensions * kPaddedInputDimensions];
};
#endif // #ifndef NNUE_LAYERS_AFFINE_TRANSFORM_H_INCLUDED
} // namespace Eval::NNUE::Layers
#endif // #ifndef NNUE_LAYERS_AFFINE_TRANSFORM_H_INCLUDED
@@ -1,278 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Stockfish is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
// Definition of layer AffineTransformSparseInput of NNUE evaluation function
#ifndef NNUE_LAYERS_AFFINE_TRANSFORM_SPARSE_INPUT_H_INCLUDED
#define NNUE_LAYERS_AFFINE_TRANSFORM_SPARSE_INPUT_H_INCLUDED
#include <algorithm>
#include <array>
#include <cstdint>
#include <iostream>
#include "../../bitboard.h"
#include "../nnue_common.h"
#include "affine_transform.h"
#include "simd.h"
/*
This file contains the definition for a fully connected layer (aka affine transform) with block sparse input.
*/
namespace Stockfish::Eval::NNUE::Layers {
#if (USE_SSSE3 | (USE_NEON >= 8))
alignas(CacheLineSize) static inline const
std::array<std::array<std::uint16_t, 8>, 256> lookup_indices = []() {
std::array<std::array<std::uint16_t, 8>, 256> v{};
for (unsigned i = 0; i < 256; ++i)
{
std::uint64_t j = i, k = 0;
while (j)
v[i][k++] = pop_lsb(j);
}
return v;
}();
// Find indices of nonzero numbers in an int32_t array
template<const IndexType InputDimensions>
void find_nnz(const std::int32_t* input, std::uint16_t* out, IndexType& count_out) {
#if defined(USE_SSSE3)
#if defined(USE_AVX512)
using vec_t = __m512i;
#define vec_nnz(a) _mm512_cmpgt_epi32_mask(a, _mm512_setzero_si512())
#elif defined(USE_AVX2)
using vec_t = __m256i;
#if defined(USE_VNNI) && !defined(USE_AVXVNNI)
#define vec_nnz(a) _mm256_cmpgt_epi32_mask(a, _mm256_setzero_si256())
#else
#define vec_nnz(a) \
_mm256_movemask_ps( \
_mm256_castsi256_ps(_mm256_cmpgt_epi32(a, _mm256_setzero_si256())))
#endif
#elif defined(USE_SSSE3)
using vec_t = __m128i;
#define vec_nnz(a) \
_mm_movemask_ps(_mm_castsi128_ps(_mm_cmpgt_epi32(a, _mm_setzero_si128())))
#endif
using vec128_t = __m128i;
#define vec128_zero _mm_setzero_si128()
#define vec128_set_16(a) _mm_set1_epi16(a)
#define vec128_load(a) _mm_load_si128(a)
#define vec128_storeu(a, b) _mm_storeu_si128(a, b)
#define vec128_add(a, b) _mm_add_epi16(a, b)
#elif defined(USE_NEON)
using vec_t = uint32x4_t;
static const std::uint32_t Mask[4] = {1, 2, 4, 8};
#define vec_nnz(a) vaddvq_u32(vandq_u32(vtstq_u32(a, a), vld1q_u32(Mask)))
using vec128_t = uint16x8_t;
#define vec128_zero vdupq_n_u16(0)
#define vec128_set_16(a) vdupq_n_u16(a)
#define vec128_load(a) vld1q_u16(reinterpret_cast<const std::uint16_t*>(a))
#define vec128_storeu(a, b) vst1q_u16(reinterpret_cast<std::uint16_t*>(a), b)
#define vec128_add(a, b) vaddq_u16(a, b)
#endif
constexpr IndexType InputSimdWidth = sizeof(vec_t) / sizeof(std::int32_t);
// Inputs are processed InputSimdWidth at a time and outputs are processed 8 at a time so we process in chunks of max(InputSimdWidth, 8)
constexpr IndexType ChunkSize = std::max<IndexType>(InputSimdWidth, 8);
constexpr IndexType NumChunks = InputDimensions / ChunkSize;
constexpr IndexType InputsPerChunk = ChunkSize / InputSimdWidth;
constexpr IndexType OutputsPerChunk = ChunkSize / 8;
const auto inputVector = reinterpret_cast<const vec_t*>(input);
IndexType count = 0;
vec128_t base = vec128_zero;
const vec128_t increment = vec128_set_16(8);
for (IndexType i = 0; i < NumChunks; ++i)
{
// bitmask of nonzero values in this chunk
unsigned nnz = 0;
for (IndexType j = 0; j < InputsPerChunk; ++j)
{
const vec_t inputChunk = inputVector[i * InputsPerChunk + j];
nnz |= unsigned(vec_nnz(inputChunk)) << (j * InputSimdWidth);
}
for (IndexType j = 0; j < OutputsPerChunk; ++j)
{
const auto lookup = (nnz >> (j * 8)) & 0xFF;
const auto offsets =
vec128_load(reinterpret_cast<const vec128_t*>(&lookup_indices[lookup]));
vec128_storeu(reinterpret_cast<vec128_t*>(out + count), vec128_add(base, offsets));
count += popcount(lookup);
base = vec128_add(base, increment);
}
}
count_out = count;
}
#undef vec_nnz
#undef vec128_zero
#undef vec128_set_16
#undef vec128_load
#undef vec128_storeu
#undef vec128_add
#endif
// Sparse input implementation
template<IndexType InDims, IndexType OutDims>
class AffineTransformSparseInput {
public:
// Input/output type
using InputType = std::uint8_t;
using OutputType = std::int32_t;
// Number of input/output dimensions
static constexpr IndexType InputDimensions = InDims;
static constexpr IndexType OutputDimensions = OutDims;
static_assert(OutputDimensions % 16 == 0,
"Only implemented for OutputDimensions divisible by 16.");
static constexpr IndexType PaddedInputDimensions =
ceil_to_multiple<IndexType>(InputDimensions, MaxSimdWidth);
static constexpr IndexType PaddedOutputDimensions =
ceil_to_multiple<IndexType>(OutputDimensions, MaxSimdWidth);
#if (USE_SSSE3 | (USE_NEON >= 8))
static constexpr IndexType ChunkSize = 4;
#else
static constexpr IndexType ChunkSize = 1;
#endif
using OutputBuffer = OutputType[PaddedOutputDimensions];
// Hash value embedded in the evaluation file
static constexpr std::uint32_t get_hash_value(std::uint32_t prevHash) {
std::uint32_t hashValue = 0xCC03DAE4u;
hashValue += OutputDimensions;
hashValue ^= prevHash >> 1;
hashValue ^= prevHash << 31;
return hashValue;
}
static constexpr IndexType get_weight_index_scrambled(IndexType i) {
return (i / ChunkSize) % (PaddedInputDimensions / ChunkSize) * OutputDimensions * ChunkSize
+ i / PaddedInputDimensions * ChunkSize + i % ChunkSize;
}
static constexpr IndexType get_weight_index(IndexType i) {
#if (USE_SSSE3 | (USE_NEON >= 8))
return get_weight_index_scrambled(i);
#else
return i;
#endif
}
// Read network parameters
bool read_parameters(std::istream& stream) {
read_little_endian<BiasType>(stream, biases, OutputDimensions);
for (IndexType i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
weights[get_weight_index(i)] = read_little_endian<WeightType>(stream);
return !stream.fail();
}
// Write network parameters
bool write_parameters(std::ostream& stream) const {
write_little_endian<BiasType>(stream, biases, OutputDimensions);
for (IndexType i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
write_little_endian<WeightType>(stream, weights[get_weight_index(i)]);
return !stream.fail();
}
// Forward propagation
void propagate(const InputType* input, OutputType* output) const {
#if (USE_SSSE3 | (USE_NEON >= 8))
#if defined(USE_AVX512)
using invec_t = __m512i;
using outvec_t = __m512i;
#define vec_set_32 _mm512_set1_epi32
#define vec_add_dpbusd_32 Simd::m512_add_dpbusd_epi32
#elif defined(USE_AVX2)
using invec_t = __m256i;
using outvec_t = __m256i;
#define vec_set_32 _mm256_set1_epi32
#define vec_add_dpbusd_32 Simd::m256_add_dpbusd_epi32
#elif defined(USE_SSSE3)
using invec_t = __m128i;
using outvec_t = __m128i;
#define vec_set_32 _mm_set1_epi32
#define vec_add_dpbusd_32 Simd::m128_add_dpbusd_epi32
#elif defined(USE_NEON_DOTPROD)
using invec_t = int8x16_t;
using outvec_t = int32x4_t;
#define vec_set_32(a) vreinterpretq_s8_u32(vdupq_n_u32(a))
#define vec_add_dpbusd_32 Simd::dotprod_m128_add_dpbusd_epi32
#elif defined(USE_NEON)
using invec_t = int8x16_t;
using outvec_t = int32x4_t;
#define vec_set_32(a) vreinterpretq_s8_u32(vdupq_n_u32(a))
#define vec_add_dpbusd_32 Simd::neon_m128_add_dpbusd_epi32
#endif
static constexpr IndexType OutputSimdWidth = sizeof(outvec_t) / sizeof(OutputType);
constexpr IndexType NumChunks = ceil_to_multiple<IndexType>(InputDimensions, 8) / ChunkSize;
constexpr IndexType NumRegs = OutputDimensions / OutputSimdWidth;
std::uint16_t nnz[NumChunks];
IndexType count;
const auto input32 = reinterpret_cast<const std::int32_t*>(input);
// Find indices of nonzero 32-bit blocks
find_nnz<NumChunks>(input32, nnz, count);
const outvec_t* biasvec = reinterpret_cast<const outvec_t*>(biases);
outvec_t acc[NumRegs];
for (IndexType k = 0; k < NumRegs; ++k)
acc[k] = biasvec[k];
for (IndexType j = 0; j < count; ++j)
{
const auto i = nnz[j];
const invec_t in = vec_set_32(input32[i]);
const auto col =
reinterpret_cast<const invec_t*>(&weights[i * OutputDimensions * ChunkSize]);
for (IndexType k = 0; k < NumRegs; ++k)
vec_add_dpbusd_32(acc[k], in, col[k]);
}
outvec_t* outptr = reinterpret_cast<outvec_t*>(output);
for (IndexType k = 0; k < NumRegs; ++k)
outptr[k] = acc[k];
#undef vec_set_32
#undef vec_add_dpbusd_32
#else
// Use dense implementation for the other architectures.
affine_transform_non_ssse3<InputDimensions, PaddedInputDimensions, OutputDimensions>(
output, weights, biases, input);
#endif
}
private:
using BiasType = OutputType;
using WeightType = std::int8_t;
alignas(CacheLineSize) BiasType biases[OutputDimensions];
alignas(CacheLineSize) WeightType weights[OutputDimensions * PaddedInputDimensions];
};
} // namespace Stockfish::Eval::NNUE::Layers
#endif // #ifndef NNUE_LAYERS_AFFINE_TRANSFORM_SPARSE_INPUT_H_INCLUDED
+137 -119
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -21,148 +21,166 @@
#ifndef NNUE_LAYERS_CLIPPED_RELU_H_INCLUDED
#define NNUE_LAYERS_CLIPPED_RELU_H_INCLUDED
#include <algorithm>
#include <cstdint>
#include <iosfwd>
#include "../nnue_common.h"
namespace Stockfish::Eval::NNUE::Layers {
namespace Eval::NNUE::Layers {
// Clipped ReLU
template<IndexType InDims>
class ClippedReLU {
// Clipped ReLU
template <typename PreviousLayer>
class ClippedReLU {
public:
// Input/output type
using InputType = std::int32_t;
using InputType = typename PreviousLayer::OutputType;
using OutputType = std::uint8_t;
static_assert(std::is_same<InputType, std::int32_t>::value, "");
// Number of input/output dimensions
static constexpr IndexType InputDimensions = InDims;
static constexpr IndexType OutputDimensions = InputDimensions;
static constexpr IndexType PaddedOutputDimensions =
ceil_to_multiple<IndexType>(OutputDimensions, 32);
static constexpr IndexType kInputDimensions =
PreviousLayer::kOutputDimensions;
static constexpr IndexType kOutputDimensions = kInputDimensions;
using OutputBuffer = OutputType[PaddedOutputDimensions];
// Size of forward propagation buffer used in this layer
static constexpr std::size_t kSelfBufferSize =
CeilToMultiple(kOutputDimensions * sizeof(OutputType), kCacheLineSize);
// Size of the forward propagation buffer used from the input layer to this layer
static constexpr std::size_t kBufferSize =
PreviousLayer::kBufferSize + kSelfBufferSize;
// Hash value embedded in the evaluation file
static constexpr std::uint32_t get_hash_value(std::uint32_t prevHash) {
std::uint32_t hashValue = 0x538D24C7u;
hashValue += prevHash;
return hashValue;
static constexpr std::uint32_t GetHashValue() {
std::uint32_t hash_value = 0x538D24C7u;
hash_value += PreviousLayer::GetHashValue();
return hash_value;
}
// Read network parameters
bool read_parameters(std::istream&) { return true; }
// Write network parameters
bool write_parameters(std::ostream&) const { return true; }
bool ReadParameters(std::istream& stream) {
return previous_layer_.ReadParameters(stream);
}
// Forward propagation
void propagate(const InputType* input, OutputType* output) const {
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);
#if defined(USE_AVX2)
if constexpr (InputDimensions % SimdWidth == 0)
{
constexpr IndexType NumChunks = InputDimensions / SimdWidth;
const __m256i Zero = _mm256_setzero_si256();
const __m256i Offsets = _mm256_set_epi32(7, 3, 6, 2, 5, 1, 4, 0);
const auto in = reinterpret_cast<const __m256i*>(input);
const auto out = reinterpret_cast<__m256i*>(output);
for (IndexType i = 0; i < NumChunks; ++i)
{
const __m256i words0 =
_mm256_srai_epi16(_mm256_packs_epi32(_mm256_load_si256(&in[i * 4 + 0]),
_mm256_load_si256(&in[i * 4 + 1])),
WeightScaleBits);
const __m256i words1 =
_mm256_srai_epi16(_mm256_packs_epi32(_mm256_load_si256(&in[i * 4 + 2]),
_mm256_load_si256(&in[i * 4 + 3])),
WeightScaleBits);
_mm256_store_si256(
&out[i], _mm256_permutevar8x32_epi32(
_mm256_max_epi8(_mm256_packs_epi16(words0, words1), Zero), Offsets));
}
}
else
{
constexpr IndexType NumChunks = InputDimensions / (SimdWidth / 2);
const __m128i Zero = _mm_setzero_si128();
const auto in = reinterpret_cast<const __m128i*>(input);
const auto out = reinterpret_cast<__m128i*>(output);
for (IndexType i = 0; i < NumChunks; ++i)
{
const __m128i words0 = _mm_srai_epi16(
_mm_packs_epi32(_mm_load_si128(&in[i * 4 + 0]), _mm_load_si128(&in[i * 4 + 1])),
WeightScaleBits);
const __m128i words1 = _mm_srai_epi16(
_mm_packs_epi32(_mm_load_si128(&in[i * 4 + 2]), _mm_load_si128(&in[i * 4 + 3])),
WeightScaleBits);
const __m128i packedbytes = _mm_packs_epi16(words0, words1);
_mm_store_si128(&out[i], _mm_max_epi8(packedbytes, Zero));
}
}
constexpr IndexType Start = InputDimensions % SimdWidth == 0
? InputDimensions / SimdWidth * SimdWidth
: InputDimensions / (SimdWidth / 2) * (SimdWidth / 2);
#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(
#elif defined(USE_SSE2)
constexpr IndexType NumChunks = InputDimensions / SimdWidth;
#if defined(__MINGW32__) || defined(__MINGW64__)
// HACK: Use _mm256_loadu_si256() instead of _mm256_load_si256. Because the binary
// compiled with g++ in MSYS2 crashes here because the output memory is not aligned
// even though alignas is specified.
_mm256_loadu_si256
#else
_mm256_load_si256
#endif
#ifdef USE_SSE41
const __m128i Zero = _mm_setzero_si128();
#else
const __m128i k0x80s = _mm_set1_epi8(-128);
#endif
(&in[i * 4 + 0]),
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],
#if defined(__MINGW32__) || defined(__MINGW64__)
_mm256_loadu_si256
#else
_mm256_load_si256
#endif
#ifdef USE_SSE41
_mm_max_epi8(packedbytes, Zero)
#else
_mm_subs_epi8(_mm_adds_epi8(packedbytes, k0x80s), k0x80s)
#endif
(&in[i * 4 + 1])), kWeightScaleBits);
const __m256i words1 = _mm256_srai_epi16(_mm256_packs_epi32(
);
}
constexpr IndexType Start = NumChunks * SimdWidth;
#if defined(__MINGW32__) || defined(__MINGW64__)
_mm256_loadu_si256
#else
_mm256_load_si256
#endif
#elif defined(USE_NEON)
constexpr IndexType NumChunks = InputDimensions / (SimdWidth / 2);
const int8x8_t Zero = {0};
const auto in = reinterpret_cast<const int32x4_t*>(input);
const auto out = reinterpret_cast<int8x8_t*>(output);
for (IndexType i = 0; i < NumChunks; ++i)
{
int16x8_t shifted;
const auto pack = reinterpret_cast<int16x4_t*>(&shifted);
pack[0] = vqshrn_n_s32(in[i * 2 + 0], WeightScaleBits);
pack[1] = vqshrn_n_s32(in[i * 2 + 1], WeightScaleBits);
out[i] = vmax_s8(vqmovn_s16(shifted), Zero);
}
constexpr IndexType Start = NumChunks * (SimdWidth / 2);
#else
constexpr IndexType Start = 0;
#endif
(&in[i * 4 + 2]),
for (IndexType i = Start; i < InputDimensions; ++i)
{
output[i] = static_cast<OutputType>(std::clamp(input[i] >> WeightScaleBits, 0, 127));
}
#if defined(__MINGW32__) || defined(__MINGW64__)
_mm256_loadu_si256
#else
_mm256_load_si256
#endif
(&in[i * 4 + 3])), kWeightScaleBits);
#if defined(__MINGW32__) || defined(__MINGW64__)
_mm256_storeu_si256
#else
_mm256_store_si256
#endif
(&out[i], _mm256_permutevar8x32_epi32(_mm256_max_epi8(
_mm256_packs_epi16(words0, words1), kZero), kOffsets));
}
constexpr IndexType kStart = kNumChunks * kSimdWidth;
#elif defined(USE_SSSE3)
constexpr IndexType kNumChunks = kInputDimensions / kSimdWidth;
#ifdef USE_SSE41
const __m128i kZero = _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) {
const __m128i words0 = _mm_srai_epi16(_mm_packs_epi32(
_mm_load_si128(&in[i * 4 + 0]),
_mm_load_si128(&in[i * 4 + 1])), kWeightScaleBits);
const __m128i words1 = _mm_srai_epi16(_mm_packs_epi32(
_mm_load_si128(&in[i * 4 + 2]),
_mm_load_si128(&in[i * 4 + 3])), kWeightScaleBits);
const __m128i packedbytes = _mm_packs_epi16(words0, words1);
_mm_store_si128(&out[i],
#ifdef USE_SSE41
_mm_max_epi8(packedbytes, kZero)
#else
_mm_subs_epi8(_mm_adds_epi8(packedbytes, k0x80s), k0x80s)
#endif
);
}
constexpr IndexType kStart = kNumChunks * kSimdWidth;
#elif defined(USE_NEON)
constexpr IndexType kNumChunks = kInputDimensions / (kSimdWidth / 2);
const int8x8_t kZero = {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) {
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);
}
constexpr IndexType kStart = kNumChunks * (kSimdWidth / 2);
#else
constexpr IndexType kStart = 0;
#endif
for (IndexType i = kStart; i < kInputDimensions; ++i) {
output[i] = static_cast<OutputType>(
std::max(0, std::min(127, input[i] >> kWeightScaleBits)));
}
return output;
}
};
} // namespace Stockfish::Eval::NNUE::Layers
private:
PreviousLayer previous_layer_;
};
#endif // NNUE_LAYERS_CLIPPED_RELU_H_INCLUDED
} // namespace Eval::NNUE::Layers
#endif // NNUE_LAYERS_CLIPPED_RELU_H_INCLUDED
+68
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@@ -0,0 +1,68 @@
/*
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/>.
*/
// NNUE evaluation function layer InputSlice definition
#ifndef NNUE_LAYERS_INPUT_SLICE_H_INCLUDED
#define NNUE_LAYERS_INPUT_SLICE_H_INCLUDED
#include "../nnue_common.h"
namespace Eval::NNUE::Layers {
// Input layer
template <IndexType OutputDimensions, IndexType Offset = 0>
class InputSlice {
public:
// Need to maintain alignment
static_assert(Offset % kMaxSimdWidth == 0, "");
// Output type
using OutputType = TransformedFeatureType;
// Output dimensionality
static constexpr IndexType kOutputDimensions = OutputDimensions;
// Size of forward propagation buffer used from the input layer to this layer
static constexpr std::size_t kBufferSize = 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;
}
// Read network parameters
bool ReadParameters(std::istream& /*stream*/) {
return true;
}
// Forward propagation
const OutputType* Propagate(
const TransformedFeatureType* transformed_features,
char* /*buffer*/) const {
return transformed_features + Offset;
}
private:
};
} // namespace Layers
#endif // #ifndef NNUE_LAYERS_INPUT_SLICE_H_INCLUDED
-167
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@@ -1,167 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Stockfish is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef STOCKFISH_SIMD_H_INCLUDED
#define STOCKFISH_SIMD_H_INCLUDED
#if defined(USE_AVX2)
#include <immintrin.h>
#elif defined(USE_SSE41)
#include <smmintrin.h>
#elif defined(USE_SSSE3)
#include <tmmintrin.h>
#elif defined(USE_SSE2)
#include <emmintrin.h>
#elif defined(USE_NEON)
#include <arm_neon.h>
#endif
namespace Stockfish::Simd {
#if defined(USE_AVX512)
[[maybe_unused]] static int m512_hadd(__m512i sum, int bias) {
return _mm512_reduce_add_epi32(sum) + bias;
}
/*
Parameters:
sum0 = [zmm0.i128[0], zmm0.i128[1], zmm0.i128[2], zmm0.i128[3]]
sum1 = [zmm1.i128[0], zmm1.i128[1], zmm1.i128[2], zmm1.i128[3]]
sum2 = [zmm2.i128[0], zmm2.i128[1], zmm2.i128[2], zmm2.i128[3]]
sum3 = [zmm3.i128[0], zmm3.i128[1], zmm3.i128[2], zmm3.i128[3]]
Returns:
ret = [
reduce_add_epi32(zmm0.i128[0]), reduce_add_epi32(zmm1.i128[0]), reduce_add_epi32(zmm2.i128[0]), reduce_add_epi32(zmm3.i128[0]),
reduce_add_epi32(zmm0.i128[1]), reduce_add_epi32(zmm1.i128[1]), reduce_add_epi32(zmm2.i128[1]), reduce_add_epi32(zmm3.i128[1]),
reduce_add_epi32(zmm0.i128[2]), reduce_add_epi32(zmm1.i128[2]), reduce_add_epi32(zmm2.i128[2]), reduce_add_epi32(zmm3.i128[2]),
reduce_add_epi32(zmm0.i128[3]), reduce_add_epi32(zmm1.i128[3]), reduce_add_epi32(zmm2.i128[3]), reduce_add_epi32(zmm3.i128[3])
]
*/
[[maybe_unused]] static __m512i
m512_hadd128x16_interleave(__m512i sum0, __m512i sum1, __m512i sum2, __m512i sum3) {
__m512i sum01a = _mm512_unpacklo_epi32(sum0, sum1);
__m512i sum01b = _mm512_unpackhi_epi32(sum0, sum1);
__m512i sum23a = _mm512_unpacklo_epi32(sum2, sum3);
__m512i sum23b = _mm512_unpackhi_epi32(sum2, sum3);
__m512i sum01 = _mm512_add_epi32(sum01a, sum01b);
__m512i sum23 = _mm512_add_epi32(sum23a, sum23b);
__m512i sum0123a = _mm512_unpacklo_epi64(sum01, sum23);
__m512i sum0123b = _mm512_unpackhi_epi64(sum01, sum23);
return _mm512_add_epi32(sum0123a, sum0123b);
}
[[maybe_unused]] static void m512_add_dpbusd_epi32(__m512i& acc, __m512i a, __m512i b) {
#if defined(USE_VNNI)
acc = _mm512_dpbusd_epi32(acc, a, b);
#else
__m512i product0 = _mm512_maddubs_epi16(a, b);
product0 = _mm512_madd_epi16(product0, _mm512_set1_epi16(1));
acc = _mm512_add_epi32(acc, product0);
#endif
}
#endif
#if defined(USE_AVX2)
[[maybe_unused]] static int m256_hadd(__m256i sum, int bias) {
__m128i sum128 = _mm_add_epi32(_mm256_castsi256_si128(sum), _mm256_extracti128_si256(sum, 1));
sum128 = _mm_add_epi32(sum128, _mm_shuffle_epi32(sum128, _MM_PERM_BADC));
sum128 = _mm_add_epi32(sum128, _mm_shuffle_epi32(sum128, _MM_PERM_CDAB));
return _mm_cvtsi128_si32(sum128) + bias;
}
[[maybe_unused]] static void m256_add_dpbusd_epi32(__m256i& acc, __m256i a, __m256i b) {
#if defined(USE_VNNI)
acc = _mm256_dpbusd_epi32(acc, a, b);
#else
__m256i product0 = _mm256_maddubs_epi16(a, b);
product0 = _mm256_madd_epi16(product0, _mm256_set1_epi16(1));
acc = _mm256_add_epi32(acc, product0);
#endif
}
#endif
#if defined(USE_SSSE3)
[[maybe_unused]] static int m128_hadd(__m128i sum, int bias) {
sum = _mm_add_epi32(sum, _mm_shuffle_epi32(sum, 0x4E)); //_MM_PERM_BADC
sum = _mm_add_epi32(sum, _mm_shuffle_epi32(sum, 0xB1)); //_MM_PERM_CDAB
return _mm_cvtsi128_si32(sum) + bias;
}
[[maybe_unused]] static void m128_add_dpbusd_epi32(__m128i& acc, __m128i a, __m128i b) {
__m128i product0 = _mm_maddubs_epi16(a, b);
product0 = _mm_madd_epi16(product0, _mm_set1_epi16(1));
acc = _mm_add_epi32(acc, product0);
}
#endif
#if defined(USE_NEON_DOTPROD)
[[maybe_unused]] static void
dotprod_m128_add_dpbusd_epi32(int32x4_t& acc, int8x16_t a, int8x16_t b) {
acc = vdotq_s32(acc, a, b);
}
#endif
#if defined(USE_NEON)
[[maybe_unused]] static int neon_m128_reduce_add_epi32(int32x4_t s) {
#if USE_NEON >= 8
return vaddvq_s32(s);
#else
return s[0] + s[1] + s[2] + s[3];
#endif
}
[[maybe_unused]] static int neon_m128_hadd(int32x4_t sum, int bias) {
return neon_m128_reduce_add_epi32(sum) + bias;
}
#endif
#if USE_NEON >= 8
[[maybe_unused]] static void neon_m128_add_dpbusd_epi32(int32x4_t& acc, int8x16_t a, int8x16_t b) {
int16x8_t product0 = vmull_s8(vget_low_s8(a), vget_low_s8(b));
int16x8_t product1 = vmull_high_s8(a, b);
int16x8_t sum = vpaddq_s16(product0, product1);
acc = vpadalq_s16(acc, sum);
}
#endif
}
#endif // STOCKFISH_SIMD_H_INCLUDED
-103
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@@ -1,103 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Stockfish is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
// Definition of layer ClippedReLU of NNUE evaluation function
#ifndef NNUE_LAYERS_SQR_CLIPPED_RELU_H_INCLUDED
#define NNUE_LAYERS_SQR_CLIPPED_RELU_H_INCLUDED
#include <algorithm>
#include <cstdint>
#include <iosfwd>
#include "../nnue_common.h"
namespace Stockfish::Eval::NNUE::Layers {
// Clipped ReLU
template<IndexType InDims>
class SqrClippedReLU {
public:
// Input/output type
using InputType = std::int32_t;
using OutputType = std::uint8_t;
// Number of input/output dimensions
static constexpr IndexType InputDimensions = InDims;
static constexpr IndexType OutputDimensions = InputDimensions;
static constexpr IndexType PaddedOutputDimensions =
ceil_to_multiple<IndexType>(OutputDimensions, 32);
using OutputBuffer = OutputType[PaddedOutputDimensions];
// Hash value embedded in the evaluation file
static constexpr std::uint32_t get_hash_value(std::uint32_t prevHash) {
std::uint32_t hashValue = 0x538D24C7u;
hashValue += prevHash;
return hashValue;
}
// Read network parameters
bool read_parameters(std::istream&) { return true; }
// Write network parameters
bool write_parameters(std::ostream&) const { return true; }
// Forward propagation
void propagate(const InputType* input, OutputType* output) const {
#if defined(USE_SSE2)
constexpr IndexType NumChunks = InputDimensions / 16;
static_assert(WeightScaleBits == 6);
const auto in = reinterpret_cast<const __m128i*>(input);
const auto out = reinterpret_cast<__m128i*>(output);
for (IndexType i = 0; i < NumChunks; ++i)
{
__m128i words0 =
_mm_packs_epi32(_mm_load_si128(&in[i * 4 + 0]), _mm_load_si128(&in[i * 4 + 1]));
__m128i words1 =
_mm_packs_epi32(_mm_load_si128(&in[i * 4 + 2]), _mm_load_si128(&in[i * 4 + 3]));
// We shift by WeightScaleBits * 2 = 12 and divide by 128
// which is an additional shift-right of 7, meaning 19 in total.
// MulHi strips the lower 16 bits so we need to shift out 3 more to match.
words0 = _mm_srli_epi16(_mm_mulhi_epi16(words0, words0), 3);
words1 = _mm_srli_epi16(_mm_mulhi_epi16(words1, words1), 3);
_mm_store_si128(&out[i], _mm_packs_epi16(words0, words1));
}
constexpr IndexType Start = NumChunks * 16;
#else
constexpr IndexType Start = 0;
#endif
for (IndexType i = Start; i < InputDimensions; ++i)
{
output[i] = static_cast<OutputType>(
// Really should be /127 but we need to make it fast so we right-shift
// by an extra 7 bits instead. Needs to be accounted for in the trainer.
std::min(127ll, ((long long) (input[i]) * input[i]) >> (2 * WeightScaleBits + 7)));
}
}
};
} // namespace Stockfish::Eval::NNUE::Layers
#endif // NNUE_LAYERS_SQR_CLIPPED_RELU_H_INCLUDED
+12 -14
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -21,21 +21,19 @@
#ifndef NNUE_ACCUMULATOR_H_INCLUDED
#define NNUE_ACCUMULATOR_H_INCLUDED
#include <cstdint>
#include "nnue_architecture.h"
#include "nnue_common.h"
namespace Stockfish::Eval::NNUE {
namespace Eval::NNUE {
// Class that holds the result of affine transformation of input features
template<IndexType Size>
struct alignas(CacheLineSize) Accumulator {
std::int16_t accumulation[2][Size];
std::int32_t psqtAccumulation[2][PSQTBuckets];
bool computed[2];
};
// Class that holds the result of affine transformation of input features
struct alignas(32) Accumulator {
std::int16_t
accumulation[2][kRefreshTriggers.size()][kTransformedFeatureDimensions];
Value score;
bool computed_accumulation;
bool computed_score;
};
} // namespace Stockfish::Eval::NNUE
} // namespace Eval::NNUE
#endif // NNUE_ACCUMULATOR_H_INCLUDED
#endif // NNUE_ACCUMULATOR_H_INCLUDED
+11 -115
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@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -21,122 +21,18 @@
#ifndef NNUE_ARCHITECTURE_H_INCLUDED
#define NNUE_ARCHITECTURE_H_INCLUDED
#include <cstdint>
#include <cstring>
#include <iosfwd>
// Defines the network structure
#include "architectures/halfkp_256x2-32-32.h"
#include "features/half_ka_v2_hm.h"
#include "layers/affine_transform.h"
#include "layers/affine_transform_sparse_input.h"
#include "layers/clipped_relu.h"
#include "layers/sqr_clipped_relu.h"
#include "nnue_common.h"
namespace Eval::NNUE {
namespace Stockfish::Eval::NNUE {
static_assert(kTransformedFeatureDimensions % kMaxSimdWidth == 0, "");
static_assert(Network::kOutputDimensions == 1, "");
static_assert(std::is_same<Network::OutputType, std::int32_t>::value, "");
// Input features used in evaluation function
using FeatureSet = Features::HalfKAv2_hm;
// Trigger for full calculation instead of difference calculation
constexpr auto kRefreshTriggers = RawFeatures::kRefreshTriggers;
enum NetSize : int {
Big,
Small
};
} // namespace Eval::NNUE
// Number of input feature dimensions after conversion
constexpr IndexType TransformedFeatureDimensionsBig = 2560;
constexpr int L2Big = 15;
constexpr int L3Big = 32;
constexpr IndexType TransformedFeatureDimensionsSmall = 128;
constexpr int L2Small = 15;
constexpr int L3Small = 32;
constexpr IndexType PSQTBuckets = 8;
constexpr IndexType LayerStacks = 8;
template<IndexType L1, int L2, int L3>
struct Network {
static constexpr IndexType TransformedFeatureDimensions = L1;
static constexpr int FC_0_OUTPUTS = L2;
static constexpr int FC_1_OUTPUTS = L3;
Layers::AffineTransformSparseInput<TransformedFeatureDimensions, FC_0_OUTPUTS + 1> fc_0;
Layers::SqrClippedReLU<FC_0_OUTPUTS + 1> ac_sqr_0;
Layers::ClippedReLU<FC_0_OUTPUTS + 1> ac_0;
Layers::AffineTransform<FC_0_OUTPUTS * 2, FC_1_OUTPUTS> fc_1;
Layers::ClippedReLU<FC_1_OUTPUTS> ac_1;
Layers::AffineTransform<FC_1_OUTPUTS, 1> fc_2;
// Hash value embedded in the evaluation file
static constexpr std::uint32_t get_hash_value() {
// input slice hash
std::uint32_t hashValue = 0xEC42E90Du;
hashValue ^= TransformedFeatureDimensions * 2;
hashValue = decltype(fc_0)::get_hash_value(hashValue);
hashValue = decltype(ac_0)::get_hash_value(hashValue);
hashValue = decltype(fc_1)::get_hash_value(hashValue);
hashValue = decltype(ac_1)::get_hash_value(hashValue);
hashValue = decltype(fc_2)::get_hash_value(hashValue);
return hashValue;
}
// Read network parameters
bool read_parameters(std::istream& stream) {
return fc_0.read_parameters(stream) && ac_0.read_parameters(stream)
&& fc_1.read_parameters(stream) && ac_1.read_parameters(stream)
&& fc_2.read_parameters(stream);
}
// Write network parameters
bool write_parameters(std::ostream& stream) const {
return fc_0.write_parameters(stream) && ac_0.write_parameters(stream)
&& fc_1.write_parameters(stream) && ac_1.write_parameters(stream)
&& fc_2.write_parameters(stream);
}
std::int32_t propagate(const TransformedFeatureType* transformedFeatures) {
struct alignas(CacheLineSize) Buffer {
alignas(CacheLineSize) typename decltype(fc_0)::OutputBuffer fc_0_out;
alignas(CacheLineSize) typename decltype(ac_sqr_0)::OutputType
ac_sqr_0_out[ceil_to_multiple<IndexType>(FC_0_OUTPUTS * 2, 32)];
alignas(CacheLineSize) typename decltype(ac_0)::OutputBuffer ac_0_out;
alignas(CacheLineSize) typename decltype(fc_1)::OutputBuffer fc_1_out;
alignas(CacheLineSize) typename decltype(ac_1)::OutputBuffer ac_1_out;
alignas(CacheLineSize) typename decltype(fc_2)::OutputBuffer fc_2_out;
Buffer() { std::memset(this, 0, sizeof(*this)); }
};
#if defined(__clang__) && (__APPLE__)
// workaround for a bug reported with xcode 12
static thread_local auto tlsBuffer = std::make_unique<Buffer>();
// Access TLS only once, cache result.
Buffer& buffer = *tlsBuffer;
#else
alignas(CacheLineSize) static thread_local Buffer buffer;
#endif
fc_0.propagate(transformedFeatures, buffer.fc_0_out);
ac_sqr_0.propagate(buffer.fc_0_out, buffer.ac_sqr_0_out);
ac_0.propagate(buffer.fc_0_out, buffer.ac_0_out);
std::memcpy(buffer.ac_sqr_0_out + FC_0_OUTPUTS, buffer.ac_0_out,
FC_0_OUTPUTS * sizeof(typename decltype(ac_0)::OutputType));
fc_1.propagate(buffer.ac_sqr_0_out, buffer.fc_1_out);
ac_1.propagate(buffer.fc_1_out, buffer.ac_1_out);
fc_2.propagate(buffer.ac_1_out, buffer.fc_2_out);
// buffer.fc_0_out[FC_0_OUTPUTS] is such that 1.0 is equal to 127*(1<<WeightScaleBits) in
// quantized form, but we want 1.0 to be equal to 600*OutputScale
std::int32_t fwdOut =
(buffer.fc_0_out[FC_0_OUTPUTS]) * (600 * OutputScale) / (127 * (1 << WeightScaleBits));
std::int32_t outputValue = buffer.fc_2_out[0] + fwdOut;
return outputValue;
}
};
} // namespace Stockfish::Eval::NNUE
#endif // #ifndef NNUE_ARCHITECTURE_H_INCLUDED
#endif // #ifndef NNUE_ARCHITECTURE_H_INCLUDED
+32 -239
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@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -21,264 +21,57 @@
#ifndef NNUE_COMMON_H_INCLUDED
#define NNUE_COMMON_H_INCLUDED
#include <algorithm>
#include <cassert>
#include <cstdint>
#include <cstring>
#include <iostream>
#include <type_traits>
#include "../misc.h"
#if defined(USE_AVX2)
#include <immintrin.h>
#include <immintrin.h>
#elif defined(USE_SSE41)
#include <smmintrin.h>
#include <smmintrin.h>
#elif defined(USE_SSSE3)
#include <tmmintrin.h>
#include <tmmintrin.h>
#elif defined(USE_SSE2)
#include <emmintrin.h>
#include <emmintrin.h>
#elif defined(USE_NEON)
#include <arm_neon.h>
#include <arm_neon.h>
#endif
namespace Stockfish::Eval::NNUE {
namespace Eval::NNUE {
// Version of the evaluation file
constexpr std::uint32_t Version = 0x7AF32F20u;
// Version of the evaluation file
constexpr std::uint32_t kVersion = 0x7AF32F16u;
// Constant used in evaluation value calculation
constexpr int OutputScale = 16;
constexpr int WeightScaleBits = 6;
// Constant used in evaluation value calculation
constexpr int FV_SCALE = 16;
constexpr int kWeightScaleBits = 6;
// Size of cache line (in bytes)
constexpr std::size_t CacheLineSize = 64;
// Size of cache line (in bytes)
constexpr std::size_t kCacheLineSize = 64;
constexpr const char Leb128MagicString[] = "COMPRESSED_LEB128";
constexpr const std::size_t Leb128MagicStringSize = sizeof(Leb128MagicString) - 1;
// SIMD width (in bytes)
#if defined(USE_AVX2)
constexpr std::size_t kSimdWidth = 32;
// SIMD width (in bytes)
#if defined(USE_AVX2)
constexpr std::size_t SimdWidth = 32;
#elif defined(USE_SSE2)
constexpr std::size_t kSimdWidth = 16;
#elif defined(USE_SSE2)
constexpr std::size_t SimdWidth = 16;
#elif defined(USE_NEON)
constexpr std::size_t kSimdWidth = 16;
#endif
#elif defined(USE_NEON)
constexpr std::size_t SimdWidth = 16;
#endif
constexpr std::size_t kMaxSimdWidth = 32;
constexpr std::size_t MaxSimdWidth = 32;
// Type of input feature after conversion
using TransformedFeatureType = std::uint8_t;
using IndexType = std::uint32_t;
// Type of input feature after conversion
using TransformedFeatureType = std::uint8_t;
using IndexType = std::uint32_t;
// Round n up to be a multiple of base
template<typename IntType>
constexpr IntType ceil_to_multiple(IntType n, IntType base) {
// Round n up to be a multiple of base
template <typename IntType>
constexpr IntType CeilToMultiple(IntType n, IntType base) {
return (n + base - 1) / base * base;
}
}
} // namespace Eval::NNUE
// Utility to read an integer (signed or unsigned, any size)
// from a stream in little-endian order. We swap the byte order after the read if
// necessary to return a result with the byte ordering of the compiling machine.
template<typename IntType>
inline IntType read_little_endian(std::istream& stream) {
IntType result;
if (IsLittleEndian)
stream.read(reinterpret_cast<char*>(&result), sizeof(IntType));
else
{
std::uint8_t u[sizeof(IntType)];
std::make_unsigned_t<IntType> v = 0;
stream.read(reinterpret_cast<char*>(u), sizeof(IntType));
for (std::size_t i = 0; i < sizeof(IntType); ++i)
v = (v << 8) | u[sizeof(IntType) - i - 1];
std::memcpy(&result, &v, sizeof(IntType));
}
return result;
}
// Utility to write an integer (signed or unsigned, any size)
// to a stream in little-endian order. We swap the byte order before the write if
// necessary to always write in little-endian order, independently of the byte
// ordering of the compiling machine.
template<typename IntType>
inline void write_little_endian(std::ostream& stream, IntType value) {
if (IsLittleEndian)
stream.write(reinterpret_cast<const char*>(&value), sizeof(IntType));
else
{
std::uint8_t u[sizeof(IntType)];
std::make_unsigned_t<IntType> v = value;
std::size_t i = 0;
// if constexpr to silence the warning about shift by 8
if constexpr (sizeof(IntType) > 1)
{
for (; i + 1 < sizeof(IntType); ++i)
{
u[i] = std::uint8_t(v);
v >>= 8;
}
}
u[i] = std::uint8_t(v);
stream.write(reinterpret_cast<char*>(u), sizeof(IntType));
}
}
// Read integers in bulk from a little-endian stream.
// This reads N integers from stream s and puts them in array out.
template<typename IntType>
inline void read_little_endian(std::istream& stream, IntType* out, std::size_t count) {
if (IsLittleEndian)
stream.read(reinterpret_cast<char*>(out), sizeof(IntType) * count);
else
for (std::size_t i = 0; i < count; ++i)
out[i] = read_little_endian<IntType>(stream);
}
// Write integers in bulk to a little-endian stream.
// This takes N integers from array values and writes them on stream s.
template<typename IntType>
inline void write_little_endian(std::ostream& stream, const IntType* values, std::size_t count) {
if (IsLittleEndian)
stream.write(reinterpret_cast<const char*>(values), sizeof(IntType) * count);
else
for (std::size_t i = 0; i < count; ++i)
write_little_endian<IntType>(stream, values[i]);
}
// Read N signed integers from the stream s, putting them in the array out.
// The stream is assumed to be compressed using the signed LEB128 format.
// See https://en.wikipedia.org/wiki/LEB128 for a description of the compression scheme.
template<typename IntType>
inline void read_leb_128(std::istream& stream, IntType* out, std::size_t count) {
// Check the presence of our LEB128 magic string
char leb128MagicString[Leb128MagicStringSize];
stream.read(leb128MagicString, Leb128MagicStringSize);
assert(strncmp(Leb128MagicString, leb128MagicString, Leb128MagicStringSize) == 0);
static_assert(std::is_signed_v<IntType>, "Not implemented for unsigned types");
const std::uint32_t BUF_SIZE = 4096;
std::uint8_t buf[BUF_SIZE];
auto bytes_left = read_little_endian<std::uint32_t>(stream);
std::uint32_t buf_pos = BUF_SIZE;
for (std::size_t i = 0; i < count; ++i)
{
IntType result = 0;
size_t shift = 0;
do
{
if (buf_pos == BUF_SIZE)
{
stream.read(reinterpret_cast<char*>(buf), std::min(bytes_left, BUF_SIZE));
buf_pos = 0;
}
std::uint8_t byte = buf[buf_pos++];
--bytes_left;
result |= (byte & 0x7f) << shift;
shift += 7;
if ((byte & 0x80) == 0)
{
out[i] = (sizeof(IntType) * 8 <= shift || (byte & 0x40) == 0)
? result
: result | ~((1 << shift) - 1);
break;
}
} while (shift < sizeof(IntType) * 8);
}
assert(bytes_left == 0);
}
// Write signed integers to a stream with LEB128 compression.
// This takes N integers from array values, compresses them with
// the LEB128 algorithm and writes the result on the stream s.
// See https://en.wikipedia.org/wiki/LEB128 for a description of the compression scheme.
template<typename IntType>
inline void write_leb_128(std::ostream& stream, const IntType* values, std::size_t count) {
// Write our LEB128 magic string
stream.write(Leb128MagicString, Leb128MagicStringSize);
static_assert(std::is_signed_v<IntType>, "Not implemented for unsigned types");
std::uint32_t byte_count = 0;
for (std::size_t i = 0; i < count; ++i)
{
IntType value = values[i];
std::uint8_t byte;
do
{
byte = value & 0x7f;
value >>= 7;
++byte_count;
} while ((byte & 0x40) == 0 ? value != 0 : value != -1);
}
write_little_endian(stream, byte_count);
const std::uint32_t BUF_SIZE = 4096;
std::uint8_t buf[BUF_SIZE];
std::uint32_t buf_pos = 0;
auto flush = [&]() {
if (buf_pos > 0)
{
stream.write(reinterpret_cast<char*>(buf), buf_pos);
buf_pos = 0;
}
};
auto write = [&](std::uint8_t byte) {
buf[buf_pos++] = byte;
if (buf_pos == BUF_SIZE)
flush();
};
for (std::size_t i = 0; i < count; ++i)
{
IntType value = values[i];
while (true)
{
std::uint8_t byte = value & 0x7f;
value >>= 7;
if ((byte & 0x40) == 0 ? value == 0 : value == -1)
{
write(byte);
break;
}
write(byte | 0x80);
}
}
flush();
}
} // namespace Stockfish::Eval::NNUE
#endif // #ifndef NNUE_COMMON_H_INCLUDED
#endif // #ifndef NNUE_COMMON_H_INCLUDED
+267 -627
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -21,695 +21,335 @@
#ifndef NNUE_FEATURE_TRANSFORMER_H_INCLUDED
#define NNUE_FEATURE_TRANSFORMER_H_INCLUDED
#include <algorithm>
#include <cassert>
#include <cstdint>
#include <cstring>
#include <iosfwd>
#include <utility>
#include "../position.h"
#include "../types.h"
#include "nnue_accumulator.h"
#include "nnue_architecture.h"
#include "nnue_common.h"
#include "nnue_architecture.h"
#include "features/index_list.h"
namespace Stockfish::Eval::NNUE {
#include <cstring> // std::memset()
using BiasType = std::int16_t;
using WeightType = std::int16_t;
using PSQTWeightType = std::int32_t;
namespace Eval::NNUE {
// 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
using vec_t = __m512i;
using psqt_vec_t = __m256i;
#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_mul_16(a, b) _mm512_mullo_epi16(a, b)
#define vec_zero() _mm512_setzero_epi32()
#define vec_set_16(a) _mm512_set1_epi16(a)
#define vec_max_16(a, b) _mm512_max_epi16(a, b)
#define vec_min_16(a, b) _mm512_min_epi16(a, b)
inline vec_t vec_msb_pack_16(vec_t a, vec_t b) {
vec_t compacted = _mm512_packs_epi16(_mm512_srli_epi16(a, 7), _mm512_srli_epi16(b, 7));
return _mm512_permutexvar_epi64(_mm512_setr_epi64(0, 2, 4, 6, 1, 3, 5, 7), compacted);
}
#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
#define MaxChunkSize 64
#elif USE_AVX2
using vec_t = __m256i;
using psqt_vec_t = __m256i;
#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_mul_16(a, b) _mm256_mullo_epi16(a, b)
#define vec_zero() _mm256_setzero_si256()
#define vec_set_16(a) _mm256_set1_epi16(a)
#define vec_max_16(a, b) _mm256_max_epi16(a, b)
#define vec_min_16(a, b) _mm256_min_epi16(a, b)
inline vec_t vec_msb_pack_16(vec_t a, vec_t b) {
vec_t compacted = _mm256_packs_epi16(_mm256_srli_epi16(a, 7), _mm256_srli_epi16(b, 7));
return _mm256_permute4x64_epi64(compacted, 0b11011000);
}
#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
#define MaxChunkSize 32
#elif USE_SSE2
using vec_t = __m128i;
using psqt_vec_t = __m128i;
#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_mul_16(a, b) _mm_mullo_epi16(a, b)
#define vec_zero() _mm_setzero_si128()
#define vec_set_16(a) _mm_set1_epi16(a)
#define vec_max_16(a, b) _mm_max_epi16(a, b)
#define vec_min_16(a, b) _mm_min_epi16(a, b)
#define vec_msb_pack_16(a, b) _mm_packs_epi16(_mm_srli_epi16(a, 7), _mm_srli_epi16(b, 7))
#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)
#define MaxChunkSize 16
#elif USE_NEON
using vec_t = int16x8_t;
using psqt_vec_t = int32x4_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_mul_16(a, b) vmulq_s16(a, b)
#define vec_zero() \
vec_t { 0 }
#define vec_set_16(a) vdupq_n_s16(a)
#define vec_max_16(a, b) vmaxq_s16(a, b)
#define vec_min_16(a, b) vminq_s16(a, b)
inline vec_t vec_msb_pack_16(vec_t a, vec_t b) {
const int8x8_t shifta = vshrn_n_s16(a, 7);
const int8x8_t shiftb = vshrn_n_s16(b, 7);
const int8x16_t compacted = vcombine_s8(shifta, shiftb);
return *reinterpret_cast<const vec_t*>(&compacted);
}
#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
#define MaxChunkSize 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.
#if defined(__GNUC__)
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wignored-attributes"
#endif
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;
}
#if defined(__GNUC__)
#pragma GCC diagnostic pop
#endif
#endif
// Input feature converter
template<IndexType TransformedFeatureDimensions,
Accumulator<TransformedFeatureDimensions> StateInfo::*accPtr>
class FeatureTransformer {
// Input feature converter
class FeatureTransformer {
private:
// Number of output dimensions for one side
static constexpr IndexType HalfDimensions = TransformedFeatureDimensions;
#ifdef VECTOR
static constexpr int NumRegs =
BestRegisterCount<vec_t, WeightType, TransformedFeatureDimensions, NumRegistersSIMD>();
static constexpr int NumPsqtRegs =
BestRegisterCount<psqt_vec_t, PSQTWeightType, PSQTBuckets, NumRegistersSIMD>();
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
static constexpr IndexType kHalfDimensions = kTransformedFeatureDimensions;
public:
// Output type
using OutputType = TransformedFeatureType;
// Number of input/output dimensions
static constexpr IndexType InputDimensions = FeatureSet::Dimensions;
static constexpr IndexType OutputDimensions = HalfDimensions;
static constexpr IndexType kInputDimensions = RawFeatures::kDimensions;
static constexpr IndexType kOutputDimensions = kHalfDimensions * 2;
// Size of forward propagation buffer
static constexpr std::size_t BufferSize = OutputDimensions * sizeof(OutputType);
static constexpr std::size_t kBufferSize =
kOutputDimensions * sizeof(OutputType);
// Hash value embedded in the evaluation file
static constexpr std::uint32_t get_hash_value() {
return FeatureSet::HashValue ^ (OutputDimensions * 2);
static constexpr std::uint32_t GetHashValue() {
return RawFeatures::kHashValue ^ kOutputDimensions;
}
// Read network parameters
bool read_parameters(std::istream& stream) {
read_leb_128<BiasType>(stream, biases, HalfDimensions);
read_leb_128<WeightType>(stream, weights, HalfDimensions * InputDimensions);
read_leb_128<PSQTWeightType>(stream, psqtWeights, PSQTBuckets * InputDimensions);
return !stream.fail();
bool ReadParameters(std::istream& stream) {
stream.read(reinterpret_cast<char*>(biases_),
kHalfDimensions * sizeof(BiasType));
stream.read(reinterpret_cast<char*>(weights_),
kHalfDimensions * kInputDimensions * sizeof(WeightType));
return !stream.fail();
}
// Write network parameters
bool write_parameters(std::ostream& stream) const {
write_leb_128<BiasType>(stream, biases, HalfDimensions);
write_leb_128<WeightType>(stream, weights, HalfDimensions * InputDimensions);
write_leb_128<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;
}
// Convert input features
std::int32_t transform(const Position& pos, OutputType* output, int bucket) const {
update_accumulator<WHITE>(pos);
update_accumulator<BLACK>(pos);
void Transform(const Position& pos, OutputType* output, bool refresh) const {
if (refresh || !UpdateAccumulatorIfPossible(pos)) {
RefreshAccumulator(pos);
}
const auto& accumulation = pos.state()->accumulator.accumulation;
const Color perspectives[2] = {pos.side_to_move(), ~pos.side_to_move()};
const auto& accumulation = (pos.state()->*accPtr).accumulation;
const auto& psqtAccumulation = (pos.state()->*accPtr).psqtAccumulation;
#if defined(USE_AVX2)
constexpr IndexType kNumChunks = kHalfDimensions / kSimdWidth;
constexpr int kControl = 0b11011000;
const __m256i kZero = _mm256_setzero_si256();
const auto psqt =
(psqtAccumulation[perspectives[0]][bucket] - psqtAccumulation[perspectives[1]][bucket])
/ 2;
#elif defined(USE_SSSE3)
constexpr IndexType kNumChunks = kHalfDimensions / kSimdWidth;
#ifdef USE_SSE41
const __m128i kZero = _mm_setzero_si128();
#else
const __m128i k0x80s = _mm_set1_epi8(-128);
#endif
for (IndexType p = 0; p < 2; ++p)
{
const IndexType offset = (HalfDimensions / 2) * p;
#elif defined(USE_NEON)
constexpr IndexType kNumChunks = kHalfDimensions / (kSimdWidth / 2);
const int8x8_t kZero = {0};
#endif
#if defined(VECTOR)
const Color perspectives[2] = {pos.side_to_move(), ~pos.side_to_move()};
for (IndexType p = 0; p < 2; ++p) {
const IndexType offset = kHalfDimensions * p;
constexpr IndexType OutputChunkSize = MaxChunkSize;
static_assert((HalfDimensions / 2) % OutputChunkSize == 0);
constexpr IndexType NumOutputChunks = HalfDimensions / 2 / OutputChunkSize;
#if defined(USE_AVX2)
auto out = reinterpret_cast<__m256i*>(&output[offset]);
for (IndexType j = 0; j < kNumChunks; ++j) {
__m256i sum0 =
vec_t Zero = vec_zero();
vec_t One = vec_set_16(127);
#if defined(__MINGW32__) || defined(__MINGW64__)
// HACK: Use _mm256_loadu_si256() instead of _mm256_load_si256. Because the binary
// compiled with g++ in MSYS2 crashes here because the output memory is not aligned
// even though alignas is specified.
_mm256_loadu_si256
#else
_mm256_load_si256
#endif
const vec_t* in0 = reinterpret_cast<const vec_t*>(&(accumulation[perspectives[p]][0]));
const vec_t* in1 =
reinterpret_cast<const vec_t*>(&(accumulation[perspectives[p]][HalfDimensions / 2]));
vec_t* out = reinterpret_cast<vec_t*>(output + offset);
(&reinterpret_cast<const __m256i*>(
accumulation[perspectives[p]][0])[j * 2 + 0]);
__m256i sum1 =
for (IndexType j = 0; j < NumOutputChunks; ++j)
{
const vec_t sum0a = vec_max_16(vec_min_16(in0[j * 2 + 0], One), Zero);
const vec_t sum0b = vec_max_16(vec_min_16(in0[j * 2 + 1], One), Zero);
const vec_t sum1a = vec_max_16(vec_min_16(in1[j * 2 + 0], One), Zero);
const vec_t sum1b = vec_max_16(vec_min_16(in1[j * 2 + 1], One), Zero);
#if defined(__MINGW32__) || defined(__MINGW64__)
_mm256_loadu_si256
#else
_mm256_load_si256
#endif
const vec_t pa = vec_mul_16(sum0a, sum1a);
const vec_t pb = vec_mul_16(sum0b, sum1b);
(&reinterpret_cast<const __m256i*>(
accumulation[perspectives[p]][0])[j * 2 + 1]);
out[j] = vec_msb_pack_16(pa, pb);
}
#if defined(__MINGW32__) || defined(__MINGW64__)
_mm256_storeu_si256
#else
_mm256_store_si256
#endif
#else
for (IndexType j = 0; j < HalfDimensions / 2; ++j)
{
BiasType sum0 = accumulation[static_cast<int>(perspectives[p])][j + 0];
BiasType sum1 =
accumulation[static_cast<int>(perspectives[p])][j + HalfDimensions / 2];
sum0 = std::clamp<BiasType>(sum0, 0, 127);
sum1 = std::clamp<BiasType>(sum1, 0, 127);
output[offset + j] = static_cast<OutputType>(unsigned(sum0 * sum1) / 128);
}
#endif
(&out[j], _mm256_permute4x64_epi64(_mm256_max_epi8(
_mm256_packs_epi16(sum0, sum1), kZero), kControl));
}
return psqt;
} // end of function transform()
#elif defined(USE_SSSE3)
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);
void hint_common_access(const Position& pos) const {
hint_common_access_for_perspective<WHITE>(pos);
hint_common_access_for_perspective<BLACK>(pos);
_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_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
}
}
private:
template<Color Perspective>
[[nodiscard]] std::pair<StateInfo*, StateInfo*>
try_find_computed_accumulator(const Position& pos) const {
// 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->*accPtr).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;
// 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_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) {
#if defined(__MINGW32__) || defined(__MINGW64__)
_mm256_storeu_si256(&accumulation[j], _mm256_add_epi16(_mm256_loadu_si256(&accumulation[j]), column[j]));
#else
accumulation[j] = _mm256_add_epi16(accumulation[j], column[j]);
#endif
}
#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]);
}
#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]);
}
#else
for (IndexType j = 0; j < kHalfDimensions; ++j) {
accumulator.accumulation[perspective][i][j] += weights_[offset + j];
}
#endif
}
return {st, next};
}
accumulator.computed_accumulation = true;
accumulator.computed_score = false;
}
// NOTE: The parameter states_to_update is an array of position states, ending with nullptr.
// All states must be sequential, that is states_to_update[i] must either be reachable
// by repeatedly applying ->previous from states_to_update[i+1] or
// states_to_update[i] == nullptr.
// computed_st must be reachable by repeatedly applying ->previous on
// states_to_update[0], if not nullptr.
template<Color Perspective, size_t N>
void update_accumulator_incremental(const Position& pos,
StateInfo* computed_st,
StateInfo* states_to_update[N]) const {
static_assert(N > 0);
assert(states_to_update[N - 1] == nullptr);
// 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 }) {
#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 defined(USE_AVX2)
constexpr IndexType kNumChunks = kHalfDimensions / (kSimdWidth / 2);
auto accumulation = reinterpret_cast<__m256i*>(
&accumulator.accumulation[perspective][i][0]);
if (states_to_update[0] == nullptr)
return;
#elif defined(USE_SSE2)
constexpr IndexType kNumChunks = kHalfDimensions / (kSimdWidth / 2);
auto accumulation = reinterpret_cast<__m128i*>(
&accumulator.accumulation[perspective][i][0]);
// Update incrementally going back through states_to_update.
#elif defined(USE_NEON)
constexpr IndexType kNumChunks = kHalfDimensions / (kSimdWidth / 2);
auto accumulation = reinterpret_cast<int16x8_t*>(
&accumulator.accumulation[perspective][i][0]);
#endif
// Gather all features to be updated.
const Square ksq = pos.square<KING>(Perspective);
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));
// Difference calculation for the deactivated features
for (const auto index : removed_indices[perspective]) {
const IndexType offset = kHalfDimensions * index;
// 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.
FeatureSet::IndexList removed[N - 1], added[N - 1];
{
int i =
N
- 2; // Last potential state to update. Skip last element because it must be nullptr.
while (states_to_update[i] == nullptr)
--i;
StateInfo* st2 = states_to_update[i];
for (; i >= 0; --i)
{
(states_to_update[i]->*accPtr).computed[Perspective] = true;
const StateInfo* end_state = i == 0 ? computed_st : states_to_update[i - 1];
for (; st2 != end_state; st2 = st2->previous)
FeatureSet::append_changed_indices<Perspective>(ksq, st2->dirtyPiece,
removed[i], added[i]);
#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]);
}
#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]);
}
#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
}
}
{ // Difference calculation for the activated features
for (const auto index : added_indices[perspective]) {
const IndexType offset = kHalfDimensions * index;
StateInfo* st = computed_st;
// Now update the accumulators listed in states_to_update[], where the last element is a sentinel.
#ifdef VECTOR
if (states_to_update[1] == nullptr && (removed[0].size() == 1 || removed[0].size() == 2)
&& added[0].size() == 1)
{
assert(states_to_update[0]);
auto accIn =
reinterpret_cast<const vec_t*>(&(st->*accPtr).accumulation[Perspective][0]);
auto accOut = reinterpret_cast<vec_t*>(
&(states_to_update[0]->*accPtr).accumulation[Perspective][0]);
const IndexType offsetR0 = HalfDimensions * removed[0][0];
auto columnR0 = reinterpret_cast<const vec_t*>(&weights[offsetR0]);
const IndexType offsetA = HalfDimensions * added[0][0];
auto columnA = reinterpret_cast<const vec_t*>(&weights[offsetA]);
if (removed[0].size() == 1)
{
for (IndexType k = 0; k < HalfDimensions * sizeof(std::int16_t) / sizeof(vec_t);
++k)
accOut[k] = vec_add_16(vec_sub_16(accIn[k], columnR0[k]), columnA[k]);
}
else
{
const IndexType offsetR1 = HalfDimensions * removed[0][1];
auto columnR1 = reinterpret_cast<const vec_t*>(&weights[offsetR1]);
for (IndexType k = 0; k < HalfDimensions * sizeof(std::int16_t) / sizeof(vec_t);
++k)
accOut[k] = vec_sub_16(vec_add_16(accIn[k], columnA[k]),
vec_add_16(columnR0[k], columnR1[k]));
#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]);
}
auto accPsqtIn =
reinterpret_cast<const psqt_vec_t*>(&(st->*accPtr).psqtAccumulation[Perspective][0]);
auto accPsqtOut = reinterpret_cast<psqt_vec_t*>(
&(states_to_update[0]->*accPtr).psqtAccumulation[Perspective][0]);
const IndexType offsetPsqtR0 = PSQTBuckets * removed[0][0];
auto columnPsqtR0 = reinterpret_cast<const psqt_vec_t*>(&psqtWeights[offsetPsqtR0]);
const IndexType offsetPsqtA = PSQTBuckets * added[0][0];
auto columnPsqtA = reinterpret_cast<const psqt_vec_t*>(&psqtWeights[offsetPsqtA]);
if (removed[0].size() == 1)
{
for (std::size_t k = 0; k < PSQTBuckets * sizeof(std::int32_t) / sizeof(psqt_vec_t);
++k)
accPsqtOut[k] = vec_add_psqt_32(vec_sub_psqt_32(accPsqtIn[k], columnPsqtR0[k]),
columnPsqtA[k]);
#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]);
}
else
{
const IndexType offsetPsqtR1 = PSQTBuckets * removed[0][1];
auto columnPsqtR1 = reinterpret_cast<const psqt_vec_t*>(&psqtWeights[offsetPsqtR1]);
for (std::size_t k = 0; k < PSQTBuckets * sizeof(std::int32_t) / sizeof(psqt_vec_t);
++k)
accPsqtOut[k] =
vec_sub_psqt_32(vec_add_psqt_32(accPsqtIn[k], columnPsqtA[k]),
vec_add_psqt_32(columnPsqtR0[k], columnPsqtR1[k]));
#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
{
for (IndexType j = 0; j < HalfDimensions / TileHeight; ++j)
{
// Load accumulator
auto accTileIn = reinterpret_cast<const vec_t*>(
&(st->*accPtr).accumulation[Perspective][j * TileHeight]);
for (IndexType k = 0; k < NumRegs; ++k)
acc[k] = vec_load(&accTileIn[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
auto accTileOut = reinterpret_cast<vec_t*>(
&(states_to_update[i]->*accPtr).accumulation[Perspective][j * TileHeight]);
for (IndexType k = 0; k < NumRegs; ++k)
vec_store(&accTileOut[k], acc[k]);
}
}
for (IndexType j = 0; j < PSQTBuckets / PsqtTileHeight; ++j)
{
// Load accumulator
auto accTilePsqtIn = reinterpret_cast<const psqt_vec_t*>(
&(st->*accPtr).psqtAccumulation[Perspective][j * PsqtTileHeight]);
for (std::size_t k = 0; k < NumPsqtRegs; ++k)
psqt[k] = vec_load_psqt(&accTilePsqtIn[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
auto accTilePsqtOut = reinterpret_cast<psqt_vec_t*>(
&(states_to_update[i]->*accPtr)
.psqtAccumulation[Perspective][j * PsqtTileHeight]);
for (std::size_t k = 0; k < NumPsqtRegs; ++k)
vec_store_psqt(&accTilePsqtOut[k], psqt[k]);
}
}
}
#else
for (IndexType i = 0; states_to_update[i]; ++i)
{
std::memcpy((states_to_update[i]->*accPtr).accumulation[Perspective],
(st->*accPtr).accumulation[Perspective], HalfDimensions * sizeof(BiasType));
for (std::size_t k = 0; k < PSQTBuckets; ++k)
(states_to_update[i]->*accPtr).psqtAccumulation[Perspective][k] =
(st->*accPtr).psqtAccumulation[Perspective][k];
st = states_to_update[i];
// Difference calculation for the deactivated features
for (const auto index : removed[i])
{
const IndexType offset = HalfDimensions * index;
for (IndexType j = 0; j < HalfDimensions; ++j)
(st->*accPtr).accumulation[Perspective][j] -= weights[offset + j];
for (std::size_t k = 0; k < PSQTBuckets; ++k)
(st->*accPtr).psqtAccumulation[Perspective][k] -=
psqtWeights[index * PSQTBuckets + k];
}
// Difference calculation for the activated features
for (const auto index : added[i])
{
const IndexType offset = HalfDimensions * index;
for (IndexType j = 0; j < HalfDimensions; ++j)
(st->*accPtr).accumulation[Perspective][j] += weights[offset + j];
for (std::size_t k = 0; k < PSQTBuckets; ++k)
(st->*accPtr).psqtAccumulation[Perspective][k] +=
psqtWeights[index * PSQTBuckets + k];
}
}
#endif
accumulator.computed_accumulation = true;
accumulator.computed_score = false;
}
template<Color Perspective>
void update_accumulator_refresh(const Position& pos) const {
#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
using BiasType = std::int16_t;
using WeightType = std::int16_t;
// Refresh the accumulator
// Could be extracted to a separate function because it's done in 2 places,
// but it's unclear if compilers would correctly handle register allocation.
auto& accumulator = pos.state()->*accPtr;
accumulator.computed[Perspective] = true;
FeatureSet::IndexList active;
FeatureSet::append_active_indices<Perspective>(pos, active);
alignas(kCacheLineSize) BiasType biases_[kHalfDimensions];
alignas(kCacheLineSize)
WeightType weights_[kHalfDimensions * kInputDimensions];
};
#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];
} // namespace Eval::NNUE
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
}
template<Color Perspective>
void hint_common_access_for_perspective(const Position& pos) const {
// Works like update_accumulator, but performs less work.
// Updates ONLY the accumulator for pos.
// Look for a usable accumulator of an earlier position. We keep track
// of the estimated gain in terms of features to be added/subtracted.
// Fast early exit.
if ((pos.state()->*accPtr).computed[Perspective])
return;
auto [oldest_st, _] = try_find_computed_accumulator<Perspective>(pos);
if ((oldest_st->*accPtr).computed[Perspective])
{
// Only update current position accumulator to minimize work.
StateInfo* states_to_update[2] = {pos.state(), nullptr};
update_accumulator_incremental<Perspective, 2>(pos, oldest_st, states_to_update);
}
else
update_accumulator_refresh<Perspective>(pos);
}
template<Color Perspective>
void update_accumulator(const Position& pos) const {
auto [oldest_st, next] = try_find_computed_accumulator<Perspective>(pos);
if ((oldest_st->*accPtr).computed[Perspective])
{
if (next == nullptr)
return;
// Now update the accumulators listed in states_to_update[], where the last element is a sentinel.
// Currently we update 2 accumulators.
// 1. for the current position
// 2. the next accumulator after the computed one
// The heuristic may change in the future.
StateInfo* states_to_update[3] = {next, next == pos.state() ? nullptr : pos.state(),
nullptr};
update_accumulator_incremental<Perspective, 3>(pos, oldest_st, states_to_update);
}
else
{
update_accumulator_refresh<Perspective>(pos);
}
}
alignas(CacheLineSize) BiasType biases[HalfDimensions];
alignas(CacheLineSize) WeightType weights[HalfDimensions * InputDimensions];
alignas(CacheLineSize) PSQTWeightType psqtWeights[InputDimensions * PSQTBuckets];
};
} // namespace Stockfish::Eval::NNUE
#endif // #ifndef NNUE_FEATURE_TRANSFORMER_H_INCLUDED
#endif // #ifndef NNUE_FEATURE_TRANSFORMER_H_INCLUDED
+281
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@@ -0,0 +1,281 @@
/*
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/>.
*/
#include <algorithm>
#include <cassert>
#include "bitboard.h"
#include "pawns.h"
#include "position.h"
#include "thread.h"
namespace {
#define V Value
#define S(mg, eg) make_score(mg, eg)
// Pawn penalties
constexpr Score Backward = S( 9, 24);
constexpr Score Doubled = S(11, 56);
constexpr Score Isolated = S( 5, 15);
constexpr Score WeakLever = S( 0, 56);
constexpr Score WeakUnopposed = S(13, 27);
// Bonus for blocked pawns at 5th or 6th rank
constexpr Score BlockedPawn[2] = { S(-11, -4), S(-3, 4) };
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)
};
// Connected pawn bonus
constexpr int Connected[RANK_NB] = { 0, 7, 8, 12, 29, 48, 86 };
// Strength of pawn shelter for our king by [distance from edge][rank].
// RANK_1 = 0 is used for files where we have no pawn, or pawn is behind our king.
constexpr Value ShelterStrength[int(FILE_NB) / 2][RANK_NB] = {
{ V( -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) }
};
// Danger of enemy pawns moving toward our king by [distance from edge][rank].
// RANK_1 = 0 is used for files where the enemy has no pawn, or their pawn
// is behind our king. Note that UnblockedStorm[0][1-2] accommodate opponent pawn
// on edge, likely blocked by our king.
constexpr Value UnblockedStorm[int(FILE_NB) / 2][RANK_NB] = {
{ V( 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) }
};
#undef S
#undef V
/// evaluate() calculates a score for the static pawn structure of the given position.
/// We cannot use the location of pieces or king in this function, as the evaluation
/// of the pawn structure will be stored in a small cache for speed reasons, and will
/// be re-used even when the pieces have moved.
template<Color Us>
Score evaluate(const Position& pos, Pawns::Entry* e) {
constexpr Color Them = ~Us;
constexpr Direction Up = pawn_push(Us);
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 ourPawns = pos.pieces( Us, PAWN);
Bitboard theirPawns = pos.pieces(Them, PAWN);
Bitboard doubleAttackThem = pawn_double_attacks_bb<Them>(theirPawns);
e->passedPawns[Us] = 0;
e->kingSquares[Us] = SQ_NONE;
e->pawnAttacks[Us] = e->pawnAttacksSpan[Us] = pawn_attacks_bb<Us>(ourPawns);
e->blockedCount += popcount(shift<Up>(ourPawns) & (theirPawns | doubleAttackThem));
// Loop through all pawns of the current color and score each pawn
while ((s = *pl++) != SQ_NONE)
{
assert(pos.piece_on(s) == make_piece(Us, PAWN));
Rank r = relative_rank(Us, s);
// Flag the pawn
opposed = theirPawns & forward_file_bb(Us, s);
blocked = theirPawns & (s + Up);
stoppers = theirPawns & passed_pawn_span(Us, s);
lever = theirPawns & pawn_attacks_bb(Us, s);
leverPush = theirPawns & pawn_attacks_bb(Us, s + Up);
doubled = ourPawns & (s - Up);
neighbours = ourPawns & adjacent_files_bb(s);
phalanx = neighbours & rank_bb(s);
support = neighbours & rank_bb(s - Up);
// A pawn is backward when it is behind all pawns of the same color on
// the adjacent files and cannot safely advance.
backward = !(neighbours & forward_ranks_bb(Them, s + Up))
&& (leverPush | blocked);
// Compute additional span if pawn is not backward nor blocked
if (!backward && !blocked)
e->pawnAttacksSpan[Us] |= pawn_attack_span(Us, s);
// A pawn is passed if one of the three following conditions is true:
// (a) there is no stoppers except some levers
// (b) the only stoppers are the leverPush, but we outnumber them
// (c) there is only one front stopper which can be levered.
// (Refined in Evaluation::passed)
passed = !(stoppers ^ lever)
|| ( !(stoppers ^ leverPush)
&& popcount(phalanx) >= popcount(leverPush))
|| ( stoppers == blocked && r >= RANK_5
&& (shift<Up>(support) & ~(theirPawns | doubleAttackThem)));
passed &= !(forward_file_bb(Us, s) & ourPawns);
// Passed pawns will be properly scored later in evaluation when we have
// full attack info.
if (passed)
e->passedPawns[Us] |= s;
// Score this pawn
if (support | phalanx)
{
int v = Connected[r] * (2 + bool(phalanx) - bool(opposed))
+ 21 * popcount(support);
score += make_score(v, v * (r - 2) / 4);
}
else if (!neighbours)
{
if ( opposed
&& (ourPawns & forward_file_bb(Them, s))
&& !(theirPawns & adjacent_files_bb(s)))
score -= Doubled;
else
score -= Isolated
+ WeakUnopposed * !opposed;
}
else if (backward)
score -= Backward
+ WeakUnopposed * !opposed;
if (!support)
score -= Doubled * doubled
+ WeakLever * more_than_one(lever);
if (blocked && r > RANK_4)
score += BlockedPawn[r-4];
}
return score;
}
} // namespace
namespace Pawns {
/// Pawns::probe() looks up the current position's pawns configuration in
/// the pawns hash table. It returns a pointer to the Entry if the position
/// is found. Otherwise a new Entry is computed and stored there, so we don't
/// have to recompute all when the same pawns configuration occurs again.
Entry* probe(const Position& pos) {
Key key = pos.pawn_key();
Entry* e = pos.this_thread()->pawnsTable[key];
if (e->key == key)
return e;
e->key = key;
e->blockedCount = 0;
e->scores[WHITE] = evaluate<WHITE>(pos, e);
e->scores[BLACK] = evaluate<BLACK>(pos, e);
return e;
}
/// Entry::evaluate_shelter() calculates the shelter bonus and the storm
/// penalty for a king, looking at the king file and the two closest files.
template<Color Us>
Score Entry::evaluate_shelter(const Position& pos, Square ksq) const {
constexpr Color Them = ~Us;
Bitboard b = pos.pieces(PAWN) & ~forward_ranks_bb(Them, ksq);
Bitboard ourPawns = b & pos.pieces(Us) & ~pawnAttacks[Them];
Bitboard theirPawns = b & pos.pieces(Them);
Score bonus = make_score(5, 5);
File center = Utility::clamp(file_of(ksq), FILE_B, FILE_G);
for (File f = File(center - 1); f <= File(center + 1); ++f)
{
b = ourPawns & file_bb(f);
int ourRank = b ? relative_rank(Us, frontmost_sq(Them, b)) : 0;
b = theirPawns & file_bb(f);
int theirRank = b ? relative_rank(Us, frontmost_sq(Them, b)) : 0;
int d = edge_distance(f);
bonus += make_score(ShelterStrength[d][ourRank], 0);
if (ourRank && (ourRank == theirRank - 1))
bonus -= BlockedStorm[theirRank];
else
bonus -= make_score(UnblockedStorm[d][theirRank], 0);
}
return bonus;
}
/// Entry::do_king_safety() calculates a bonus for king safety. It is called only
/// when king square changes, which is about 20% of total king_safety() calls.
template<Color Us>
Score Entry::do_king_safety(const Position& pos) {
Square ksq = pos.square<KING>(Us);
kingSquares[Us] = ksq;
castlingRights[Us] = pos.castling_rights(Us);
auto compare = [](Score a, Score b) { return mg_value(a) < mg_value(b); };
Score shelter = evaluate_shelter<Us>(pos, ksq);
// If we can castle use the bonus after castling if it is bigger
if (pos.can_castle(Us & KING_SIDE))
shelter = std::max(shelter, evaluate_shelter<Us>(pos, relative_square(Us, SQ_G1)), compare);
if (pos.can_castle(Us & QUEEN_SIDE))
shelter = std::max(shelter, evaluate_shelter<Us>(pos, relative_square(Us, SQ_C1)), compare);
// In endgame we like to bring our king near our closest pawn
Bitboard pawns = pos.pieces(Us, PAWN);
int minPawnDist = 6;
if (pawns & attacks_bb<KING>(ksq))
minPawnDist = 1;
else while (pawns)
minPawnDist = std::min(minPawnDist, distance(ksq, pop_lsb(&pawns)));
return shelter - make_score(0, 16 * minPawnDist);
}
// Explicit template instantiation
template Score Entry::do_king_safety<WHITE>(const Position& pos);
template Score Entry::do_king_safety<BLACK>(const Position& pos);
} // namespace Pawns
+70
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@@ -0,0 +1,70 @@
/*
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/>.
*/
#ifndef PAWNS_H_INCLUDED
#define PAWNS_H_INCLUDED
#include "misc.h"
#include "position.h"
#include "types.h"
namespace Pawns {
/// Pawns::Entry contains various information about a pawn structure. A lookup
/// to the pawn hash table (performed by calling the probe function) returns a
/// pointer to an Entry object.
struct Entry {
Score pawn_score(Color c) const { return scores[c]; }
Bitboard pawn_attacks(Color c) const { return pawnAttacks[c]; }
Bitboard passed_pawns(Color c) const { return passedPawns[c]; }
Bitboard pawn_attacks_span(Color c) const { return pawnAttacksSpan[c]; }
int passed_count() const { return popcount(passedPawns[WHITE] | passedPawns[BLACK]); }
int blocked_count() const { return blockedCount; }
template<Color Us>
Score king_safety(const Position& pos) {
return kingSquares[Us] == pos.square<KING>(Us) && castlingRights[Us] == pos.castling_rights(Us)
? kingSafety[Us] : (kingSafety[Us] = do_king_safety<Us>(pos));
}
template<Color Us>
Score do_king_safety(const Position& pos);
template<Color Us>
Score evaluate_shelter(const Position& pos, Square ksq) const;
Key key;
Score scores[COLOR_NB];
Bitboard passedPawns[COLOR_NB];
Bitboard pawnAttacks[COLOR_NB];
Bitboard pawnAttacksSpan[COLOR_NB];
Square kingSquares[COLOR_NB];
Score kingSafety[COLOR_NB];
int castlingRights[COLOR_NB];
int blockedCount;
};
typedef HashTable<Entry, 131072> Table;
Entry* probe(const Position& pos);
} // namespace Pawns
#endif // #ifndef PAWNS_H_INCLUDED
-69
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@@ -1,69 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Stockfish is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef PERFT_H_INCLUDED
#define PERFT_H_INCLUDED
#include <cstdint>
#include "movegen.h"
#include "position.h"
#include "types.h"
#include "uci.h"
namespace Stockfish {
// Utility to verify move generation. All the leaf nodes up
// to the given depth are generated and counted, and the sum is returned.
template<bool Root>
uint64_t perft(Position& pos, Depth depth) {
StateInfo st;
ASSERT_ALIGNED(&st, Eval::NNUE::CacheLineSize);
uint64_t cnt, nodes = 0;
const bool leaf = (depth == 2);
for (const auto& m : MoveList<LEGAL>(pos))
{
if (Root && depth <= 1)
cnt = 1, nodes++;
else
{
pos.do_move(m, st);
cnt = leaf ? MoveList<LEGAL>(pos).size() : perft<false>(pos, depth - 1);
nodes += cnt;
pos.undo_move(m);
}
if (Root)
sync_cout << UCI::move(m, pos.is_chess960()) << ": " << cnt << sync_endl;
}
return nodes;
}
inline void perft(const std::string& fen, Depth depth, bool isChess960) {
StateListPtr states(new std::deque<StateInfo>(1));
Position p;
p.set(fen, isChess960, &states->back());
uint64_t nodes = perft<true>(p, depth);
sync_cout << "\nNodes searched: " << nodes << "\n" << sync_endl;
}
}
#endif // PERFT_H_INCLUDED
+1009 -904
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+346 -245
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@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -21,344 +21,445 @@
#include <cassert>
#include <deque>
#include <iosfwd>
#include <memory>
#include <memory> // For std::unique_ptr
#include <string>
#include "bitboard.h"
#include "nnue/nnue_accumulator.h"
#include "nnue/nnue_architecture.h"
#include "evaluate.h"
#include "types.h"
namespace Stockfish {
#include "nnue/nnue_accumulator.h"
class TranspositionTable;
// StateInfo struct stores information needed to restore a Position object to
// its previous state when we retract a move. Whenever a move is made on the
// board (by calling Position::do_move), a StateInfo object must be passed.
/// StateInfo struct stores information needed to restore a Position object to
/// its previous state when we retract a move. Whenever a move is made on the
/// board (by calling Position::do_move), a StateInfo object must be passed.
struct StateInfo {
// Copied when making a move
Key materialKey;
Key pawnKey;
Value nonPawnMaterial[COLOR_NB];
int castlingRights;
int rule50;
int pliesFromNull;
Square epSquare;
// Copied when making a move
Key pawnKey;
Key materialKey;
Value nonPawnMaterial[COLOR_NB];
int castlingRights;
int rule50;
int pliesFromNull;
Square epSquare;
// Not copied when making a move (will be recomputed anyhow)
Key key;
Bitboard checkersBB;
StateInfo* previous;
Bitboard blockersForKing[COLOR_NB];
Bitboard pinners[COLOR_NB];
Bitboard checkSquares[PIECE_TYPE_NB];
Piece capturedPiece;
int repetition;
// Not copied when making a move (will be recomputed anyhow)
Key key;
Bitboard checkersBB;
Piece capturedPiece;
StateInfo* previous;
Bitboard blockersForKing[COLOR_NB];
Bitboard pinners[COLOR_NB];
Bitboard checkSquares[PIECE_TYPE_NB];
int repetition;
// Used by NNUE
Eval::NNUE::Accumulator<Eval::NNUE::TransformedFeatureDimensionsBig> accumulatorBig;
Eval::NNUE::Accumulator<Eval::NNUE::TransformedFeatureDimensionsSmall> accumulatorSmall;
DirtyPiece dirtyPiece;
// Used by NNUE
Eval::NNUE::Accumulator accumulator;
DirtyPiece dirtyPiece;
};
// A list to keep track of the position states along the setup moves (from the
// start position to the position just before the search starts). Needed by
// 'draw by repetition' detection. Use a std::deque because pointers to
// elements are not invalidated upon list resizing.
using StateListPtr = std::unique_ptr<std::deque<StateInfo>>;
/// A list to keep track of the position states along the setup moves (from the
/// start position to the position just before the search starts). Needed by
/// 'draw by repetition' detection. Use a std::deque because pointers to
/// elements are not invalidated upon list resizing.
typedef std::unique_ptr<std::deque<StateInfo>> StateListPtr;
// Position class stores information regarding the board representation as
// pieces, side to move, hash keys, castling info, etc. Important methods are
// do_move() and undo_move(), used by the search to update node info when
// traversing the search tree.
/// Position class stores information regarding the board representation as
/// pieces, side to move, hash keys, castling info, etc. Important methods are
/// do_move() and undo_move(), used by the search to update node info when
/// traversing the search tree.
class Thread;
class Position {
public:
static void init();
public:
static void init();
Position() = default;
Position(const Position&) = delete;
Position& operator=(const Position&) = delete;
Position() = default;
Position(const Position&) = delete;
Position& operator=(const Position&) = delete;
// FEN string input/output
Position& set(const std::string& fenStr, bool isChess960, StateInfo* si);
Position& set(const std::string& code, Color c, StateInfo* si);
std::string fen() const;
// FEN string input/output
Position& set(const std::string& fenStr, bool isChess960, StateInfo* si, Thread* th);
Position& set(const std::string& code, Color c, StateInfo* si);
const std::string fen() const;
// Position representation
Bitboard pieces(PieceType pt = ALL_PIECES) const;
template<typename... PieceTypes>
Bitboard pieces(PieceType pt, PieceTypes... pts) const;
Bitboard pieces(Color c) const;
template<typename... PieceTypes>
Bitboard pieces(Color c, PieceTypes... pts) const;
Piece piece_on(Square s) const;
Square ep_square() const;
bool empty(Square s) const;
template<PieceType Pt>
int count(Color c) const;
template<PieceType Pt>
int count() const;
template<PieceType Pt>
Square square(Color c) const;
// Position representation
Bitboard pieces(PieceType pt) const;
Bitboard pieces(PieceType pt1, PieceType pt2) const;
Bitboard pieces(Color c) const;
Bitboard pieces(Color c, PieceType pt) const;
Bitboard pieces(Color c, PieceType pt1, PieceType pt2) const;
Piece piece_on(Square s) const;
Square ep_square() const;
bool empty(Square s) const;
template<PieceType Pt> int count(Color c) const;
template<PieceType Pt> int count() const;
template<PieceType Pt> const Square* squares(Color c) const;
template<PieceType Pt> Square square(Color c) const;
bool is_on_semiopen_file(Color c, Square s) const;
// Castling
CastlingRights castling_rights(Color c) const;
bool can_castle(CastlingRights cr) const;
bool castling_impeded(CastlingRights cr) const;
Square castling_rook_square(CastlingRights cr) const;
// Castling
CastlingRights castling_rights(Color c) const;
bool can_castle(CastlingRights cr) const;
bool castling_impeded(CastlingRights cr) const;
Square castling_rook_square(CastlingRights cr) const;
// Checking
Bitboard checkers() const;
Bitboard blockers_for_king(Color c) const;
Bitboard check_squares(PieceType pt) const;
Bitboard pinners(Color c) const;
// Checking
Bitboard checkers() const;
Bitboard blockers_for_king(Color c) const;
Bitboard check_squares(PieceType pt) const;
bool is_discovery_check_on_king(Color c, Move m) const;
// Attacks to/from a given square
Bitboard attackers_to(Square s) const;
Bitboard attackers_to(Square s, Bitboard occupied) const;
void update_slider_blockers(Color c) const;
template<PieceType Pt>
Bitboard attacks_by(Color c) const;
// Attacks to/from a given square
Bitboard attackers_to(Square s) const;
Bitboard attackers_to(Square s, Bitboard occupied) const;
Bitboard slider_blockers(Bitboard sliders, Square s, Bitboard& pinners) const;
// Properties of moves
bool legal(Move m) const;
bool pseudo_legal(const Move m) const;
bool capture(Move m) const;
bool capture_stage(Move m) const;
bool gives_check(Move m) const;
Piece moved_piece(Move m) const;
Piece captured_piece() const;
// Properties of moves
bool legal(Move m) const;
bool pseudo_legal(const Move m) const;
bool capture(Move m) const;
bool capture_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;
// Doing and undoing moves
void do_move(Move m, StateInfo& newSt);
void do_move(Move m, StateInfo& newSt, bool givesCheck);
void undo_move(Move m);
void do_null_move(StateInfo& newSt, TranspositionTable& tt);
void undo_null_move();
// Piece specific
bool pawn_passed(Color c, Square s) const;
bool opposite_bishops() const;
int pawns_on_same_color_squares(Color c, Square s) const;
// Static Exchange Evaluation
bool see_ge(Move m, int threshold = 0) const;
// Doing and undoing moves
void do_move(Move m, StateInfo& newSt);
void do_move(Move m, StateInfo& newSt, bool givesCheck);
void undo_move(Move m);
void do_null_move(StateInfo& newSt);
void undo_null_move();
// Accessing hash keys
Key key() const;
Key key_after(Move m) const;
Key material_key() const;
Key pawn_key() const;
// Static Exchange Evaluation
bool see_ge(Move m, Value threshold = VALUE_ZERO) const;
// Other properties of the position
Color side_to_move() const;
int game_ply() const;
bool is_chess960() const;
bool is_draw(int ply) const;
bool has_game_cycle(int ply) const;
bool has_repeated() const;
int rule50_count() const;
Value non_pawn_material(Color c) const;
Value non_pawn_material() const;
// Accessing hash keys
Key key() const;
Key key_after(Move m) const;
Key material_key() const;
Key pawn_key() const;
// Position consistency check, for debugging
bool pos_is_ok() const;
void flip();
// Other properties of the position
Color side_to_move() const;
int game_ply() const;
bool is_chess960() const;
Thread* this_thread() const;
bool is_draw(int ply) const;
bool has_game_cycle(int ply) const;
bool has_repeated() const;
int rule50_count() const;
Score psq_score() const;
Value non_pawn_material(Color c) const;
Value non_pawn_material() const;
// Used by NNUE
StateInfo* state() const;
// Position consistency check, for debugging
bool pos_is_ok() const;
void flip();
void put_piece(Piece pc, Square s);
void remove_piece(Square s);
// Used by NNUE
StateInfo* state() const;
const EvalList* eval_list() const;
private:
// Initialization helpers (used while setting up a position)
void set_castling_right(Color c, Square rfrom);
void set_state() const;
void set_check_info() const;
private:
// Initialization helpers (used while setting up a position)
void set_castling_right(Color c, Square rfrom);
void set_state(StateInfo* si) const;
void set_check_info(StateInfo* si) const;
// Other helpers
void move_piece(Square from, Square to);
template<bool Do>
void do_castling(Color us, Square from, Square& to, Square& rfrom, Square& rto);
template<bool AfterMove>
Key adjust_key50(Key k) const;
// Other helpers
void 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);
// Data members
Piece board[SQUARE_NB];
Bitboard byTypeBB[PIECE_TYPE_NB];
Bitboard byColorBB[COLOR_NB];
int pieceCount[PIECE_NB];
int castlingRightsMask[SQUARE_NB];
Square castlingRookSquare[CASTLING_RIGHT_NB];
Bitboard castlingPath[CASTLING_RIGHT_NB];
StateInfo* st;
int gamePly;
Color sideToMove;
bool chess960;
// ID of a piece on a given square
PieceId piece_id_on(Square sq) const;
// Data members
Piece board[SQUARE_NB];
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];
int gamePly;
Color sideToMove;
Score psq;
Thread* thisThread;
StateInfo* st;
bool chess960;
// List of pieces used in NNUE evaluation function
EvalList evalList;
};
std::ostream& operator<<(std::ostream& os, const Position& pos);
namespace PSQT {
extern Score psq[PIECE_NB][SQUARE_NB];
}
inline Color Position::side_to_move() const { return sideToMove; }
extern std::ostream& operator<<(std::ostream& os, const Position& pos);
inline Color Position::side_to_move() const {
return sideToMove;
}
inline Piece Position::piece_on(Square s) const {
assert(is_ok(s));
return board[s];
assert(is_ok(s));
return board[s];
}
inline bool Position::empty(Square s) const { return piece_on(s) == NO_PIECE; }
inline Piece Position::moved_piece(Move m) const { return piece_on(m.from_sq()); }
inline Bitboard Position::pieces(PieceType pt) const { return byTypeBB[pt]; }
template<typename... PieceTypes>
inline Bitboard Position::pieces(PieceType pt, PieceTypes... pts) const {
return pieces(pt) | pieces(pts...);
inline bool Position::empty(Square s) const {
return piece_on(s) == NO_PIECE;
}
inline Bitboard Position::pieces(Color c) const { return byColorBB[c]; }
template<typename... PieceTypes>
inline Bitboard Position::pieces(Color c, PieceTypes... pts) const {
return pieces(c) & pieces(pts...);
inline Piece Position::moved_piece(Move m) const {
return piece_on(from_sq(m));
}
template<PieceType Pt>
inline int Position::count(Color c) const {
return pieceCount[make_piece(c, Pt)];
inline Bitboard Position::pieces(PieceType pt = ALL_PIECES) const {
return byTypeBB[pt];
}
template<PieceType Pt>
inline int Position::count() const {
return count<Pt>(WHITE) + count<Pt>(BLACK);
inline Bitboard Position::pieces(PieceType pt1, PieceType pt2) const {
return pieces(pt1) | pieces(pt2);
}
template<PieceType Pt>
inline Square Position::square(Color c) const {
assert(count<Pt>(c) == 1);
return lsb(pieces(c, Pt));
inline Bitboard Position::pieces(Color c) const {
return byColorBB[c];
}
inline Square Position::ep_square() const { return st->epSquare; }
inline Bitboard Position::pieces(Color c, PieceType pt) const {
return pieces(c) & pieces(pt);
}
inline bool Position::can_castle(CastlingRights cr) const { return st->castlingRights & cr; }
inline Bitboard Position::pieces(Color c, PieceType pt1, PieceType pt2) const {
return pieces(c) & (pieces(pt1) | pieces(pt2));
}
template<PieceType Pt> inline int Position::count(Color c) const {
return pieceCount[make_piece(c, Pt)];
}
template<PieceType Pt> inline int Position::count() const {
return count<Pt>(WHITE) + count<Pt>(BLACK);
}
template<PieceType Pt> inline 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];
}
inline Square Position::ep_square() const {
return st->epSquare;
}
inline bool Position::is_on_semiopen_file(Color c, Square s) const {
return !(pieces(c, PAWN) & file_bb(s));
}
inline bool Position::can_castle(CastlingRights cr) const {
return st->castlingRights & cr;
}
inline CastlingRights Position::castling_rights(Color c) const {
return c & CastlingRights(st->castlingRights);
return c & CastlingRights(st->castlingRights);
}
inline bool Position::castling_impeded(CastlingRights cr) const {
assert(cr == WHITE_OO || cr == WHITE_OOO || cr == BLACK_OO || cr == BLACK_OOO);
return pieces() & castlingPath[cr];
assert(cr == WHITE_OO || cr == WHITE_OOO || cr == BLACK_OO || cr == BLACK_OOO);
return pieces() & castlingPath[cr];
}
inline Square Position::castling_rook_square(CastlingRights cr) const {
assert(cr == WHITE_OO || cr == WHITE_OOO || cr == BLACK_OO || cr == BLACK_OOO);
return castlingRookSquare[cr];
assert(cr == WHITE_OO || cr == WHITE_OOO || cr == BLACK_OO || cr == BLACK_OOO);
return castlingRookSquare[cr];
}
inline Bitboard Position::attackers_to(Square s) const { return attackers_to(s, pieces()); }
template<PieceType Pt>
inline Bitboard Position::attacks_by(Color c) const {
if constexpr (Pt == PAWN)
return c == WHITE ? pawn_attacks_bb<WHITE>(pieces(WHITE, PAWN))
: pawn_attacks_bb<BLACK>(pieces(BLACK, PAWN));
else
{
Bitboard threats = 0;
Bitboard attackers = pieces(c, Pt);
while (attackers)
threats |= attacks_bb<Pt>(pop_lsb(attackers), pieces());
return threats;
}
inline Bitboard Position::attackers_to(Square s) const {
return attackers_to(s, pieces());
}
inline Bitboard Position::checkers() const { return st->checkersBB; }
inline Bitboard Position::blockers_for_king(Color c) const { return st->blockersForKing[c]; }
inline Bitboard Position::pinners(Color c) const { return st->pinners[c]; }
inline Bitboard Position::check_squares(PieceType pt) const { return st->checkSquares[pt]; }
inline Key Position::key() const { return adjust_key50<false>(st->key); }
template<bool AfterMove>
inline Key Position::adjust_key50(Key k) const {
return st->rule50 < 14 - AfterMove ? k : k ^ make_key((st->rule50 - (14 - AfterMove)) / 8);
inline Bitboard Position::checkers() const {
return st->checkersBB;
}
inline Key Position::pawn_key() const { return st->pawnKey; }
inline Bitboard Position::blockers_for_king(Color c) const {
return st->blockersForKing[c];
}
inline Key Position::material_key() const { return st->materialKey; }
inline Bitboard Position::check_squares(PieceType pt) const {
return st->checkSquares[pt];
}
inline Value Position::non_pawn_material(Color c) const { return st->nonPawnMaterial[c]; }
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;
}
inline Key Position::pawn_key() const {
return st->pawnKey;
}
inline Key Position::material_key() const {
return st->materialKey;
}
inline Score Position::psq_score() const {
return psq;
}
inline Value Position::non_pawn_material(Color c) const {
return st->nonPawnMaterial[c];
}
inline Value Position::non_pawn_material() const {
return non_pawn_material(WHITE) + non_pawn_material(BLACK);
return non_pawn_material(WHITE) + non_pawn_material(BLACK);
}
inline int Position::game_ply() const { return gamePly; }
inline int Position::game_ply() const {
return gamePly;
}
inline int Position::rule50_count() const { return st->rule50; }
inline int Position::rule50_count() const {
return st->rule50;
}
inline bool Position::is_chess960() const { return chess960; }
inline bool Position::opposite_bishops() const {
return count<BISHOP>(WHITE) == 1
&& count<BISHOP>(BLACK) == 1
&& opposite_colors(square<BISHOP>(WHITE), square<BISHOP>(BLACK));
}
inline bool Position::is_chess960() const {
return chess960;
}
inline bool Position::capture_or_promotion(Move m) const {
assert(is_ok(m));
return type_of(m) != NORMAL ? type_of(m) != CASTLING : !empty(to_sq(m));
}
inline bool Position::capture(Move m) const {
assert(m.is_ok());
return (!empty(m.to_sq()) && m.type_of() != CASTLING) || m.type_of() == EN_PASSANT;
assert(is_ok(m));
// Castling is encoded as "king captures rook"
return (!empty(to_sq(m)) && type_of(m) != CASTLING) || type_of(m) == ENPASSANT;
}
// Returns true if a move is generated from the capture stage, having also
// queen promotions covered, i.e. consistency with the capture stage move generation
// is needed to avoid the generation of duplicate moves.
inline bool Position::capture_stage(Move m) const {
assert(m.is_ok());
return capture(m) || m.promotion_type() == QUEEN;
inline Piece Position::captured_piece() const {
return st->capturedPiece;
}
inline Piece Position::captured_piece() const { return st->capturedPiece; }
inline Thread* Position::this_thread() const {
return thisThread;
}
inline void Position::put_piece(Piece pc, Square s) {
board[s] = pc;
byTypeBB[ALL_PIECES] |= byTypeBB[type_of(pc)] |= s;
byColorBB[color_of(pc)] |= s;
pieceCount[pc]++;
pieceCount[make_piece(color_of(pc), ALL_PIECES)]++;
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[make_piece(color_of(pc), ALL_PIECES)]++;
psq += PSQT::psq[pc][s];
}
inline void Position::remove_piece(Square s) {
Piece pc = board[s];
byTypeBB[ALL_PIECES] ^= s;
byTypeBB[type_of(pc)] ^= s;
byColorBB[color_of(pc)] ^= s;
board[s] = NO_PIECE;
pieceCount[pc]--;
pieceCount[make_piece(color_of(pc), ALL_PIECES)]--;
// 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;
pieceCount[make_piece(color_of(pc), ALL_PIECES)]--;
psq -= PSQT::psq[pc][s];
}
inline void Position::move_piece(Square from, Square to) {
Piece pc = board[from];
Bitboard fromTo = from | to;
byTypeBB[ALL_PIECES] ^= fromTo;
byTypeBB[type_of(pc)] ^= fromTo;
byColorBB[color_of(pc)] ^= fromTo;
board[from] = NO_PIECE;
board[to] = pc;
// 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;
byTypeBB[type_of(pc)] ^= fromTo;
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];
}
inline void Position::do_move(Move m, StateInfo& newSt) { do_move(m, newSt, gives_check(m)); }
inline void Position::do_move(Move m, StateInfo& newSt) {
do_move(m, newSt, gives_check(m));
}
inline StateInfo* Position::state() const { return st; }
inline StateInfo* Position::state() const {
} // namespace Stockfish
return st;
}
#endif // #ifndef POSITION_H_INCLUDED
inline const EvalList* Position::eval_list() const {
return &evalList;
}
inline PieceId Position::piece_id_on(Square sq) const
{
assert(piece_on(sq) != NO_PIECE);
PieceId pid = evalList.piece_id_list[sq];
assert(is_ok(pid));
return pid;
}
#endif // #ifndef POSITION_H_INCLUDED
+122
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@@ -0,0 +1,122 @@
/*
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/>.
*/
#include <algorithm>
#include "types.h"
#include "bitboard.h"
namespace PSQT {
#define S(mg, eg) make_score(mg, eg)
// 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.
constexpr Score Bonus[][RANK_NB][int(FILE_NB) / 2] = {
{ },
{ },
{ // Knight
{ S(-175, -96), S(-92,-65), S(-74,-49), S(-73,-21) },
{ S( -77, -67), S(-41,-54), S(-27,-18), S(-15, 8) },
{ S( -61, -40), S(-17,-27), S( 6, -8), S( 12, 29) },
{ S( -35, -35), S( 8, -2), S( 40, 13), S( 49, 28) },
{ S( -34, -45), S( 13,-16), S( 44, 9), S( 51, 39) },
{ S( -9, -51), S( 22,-44), S( 58,-16), S( 53, 17) },
{ S( -67, -69), S(-27,-50), S( 4,-51), S( 37, 12) },
{ S(-201,-100), S(-83,-88), S(-56,-56), S(-26,-17) }
},
{ // Bishop
{ S(-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) }
},
{ // Rook
{ S(-31, -9), S(-20,-13), S(-14,-10), S(-5, -9) },
{ S(-21,-12), S(-13, -9), S( -8, -1), S( 6, -2) },
{ S(-25, 6), S(-11, -8), S( -1, -2), S( 3, -6) },
{ S(-13, -6), S( -5, 1), S( -4, -9), S(-6, 7) },
{ S(-27, -5), S(-15, 8), S( -4, 7), S( 3, -6) },
{ S(-22, 6), S( -2, 1), S( 6, -7), S(12, 10) },
{ S( -2, 4), S( 12, 5), S( 16, 20), S(18, -5) },
{ S(-17, 18), S(-19, 0), S( -1, 19), S( 9, 13) }
},
{ // Queen
{ S( 3,-69), S(-5,-57), S(-5,-47), S( 4,-26) },
{ S(-3,-55), 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(-5,-50), S( 6,-27), S(10,-24), S( 8, -8) },
{ S(-2,-75), S(-2,-52), S( 1,-43), S(-2,-36) }
},
{ // King
{ S(271, 1), S(327, 45), S(271, 85), S(198, 76) },
{ S(278, 53), S(303,100), S(234,133), S(179,135) },
{ S(195, 88), S(258,130), S(169,169), S(120,175) },
{ S(164,103), S(190,156), S(138,172), S( 98,172) },
{ S(154, 96), S(179,166), S(105,199), S( 70,199) },
{ S(123, 92), S(145,172), S( 81,184), S( 31,191) },
{ S( 88, 47), S(120,121), S( 65,116), S( 33,131) },
{ S( 59, 11), S( 89, 59), S( 45, 73), S( -1, 78) }
}
};
constexpr Score PBonus[RANK_NB][FILE_NB] =
{ // Pawn (asymmetric distribution)
{ },
{ S( 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) }
};
#undef S
Score psq[PIECE_NB][SQUARE_NB];
// PSQT::init() initializes piece-square tables: the white halves of the tables are
// copied from Bonus[] and PBonus[], adding the piece value, then the black halves of
// the tables are initialized by flipping and changing the sign of the white scores.
void init() {
for (Piece pc : {W_PAWN, W_KNIGHT, W_BISHOP, W_ROOK, W_QUEEN, W_KING})
{
Score score = make_score(PieceValue[MG][pc], PieceValue[EG][pc]);
for (Square s = SQ_A1; s <= SQ_H8; ++s)
{
File f = File(edge_distance(file_of(s)));
psq[ pc][s] = score + (type_of(pc) == PAWN ? PBonus[rank_of(s)][file_of(s)]
: Bonus[pc][rank_of(s)][f]);
psq[~pc][flip_rank(s)] = -psq[pc][s];
}
}
}
} // namespace PSQT
+1523 -1512
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+59 -212
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@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -19,243 +19,90 @@
#ifndef SEARCH_H_INCLUDED
#define SEARCH_H_INCLUDED
#include <array>
#include <atomic>
#include <cassert>
#include <cstddef>
#include <cstdint>
#include <memory>
#include <vector>
#include <string>
#include "misc.h"
#include "movepick.h"
#include "position.h"
#include "syzygy/tbprobe.h"
#include "timeman.h"
#include "types.h"
namespace Stockfish {
// Different node types, used as a template parameter
enum NodeType {
NonPV,
PV,
Root
};
class TranspositionTable;
class ThreadPool;
class OptionsMap;
class Position;
namespace Search {
// Stack struct keeps track of the information we need to remember from nodes
// shallower and deeper in the tree during the search. Each search thread has
// its own array of Stack objects, indexed by the current ply.
/// Threshold used for countermoves based pruning
constexpr int CounterMovePruneThreshold = 0;
/// Stack struct keeps track of the information we need to remember from nodes
/// shallower and deeper in the tree during the search. Each search thread has
/// its own array of Stack objects, indexed by the current ply.
struct Stack {
Move* pv;
PieceToHistory* continuationHistory;
int ply;
Move currentMove;
Move excludedMove;
Move killers[2];
Value staticEval;
int statScore;
int moveCount;
bool inCheck;
bool ttPv;
bool ttHit;
int multipleExtensions;
int cutoffCnt;
Move* pv;
PieceToHistory* continuationHistory;
int ply;
Move currentMove;
Move excludedMove;
Move killers[2];
Value staticEval;
int statScore;
int moveCount;
bool inCheck;
};
// RootMove struct is used for moves at the root of the tree. For each root move
// we store a score and a PV (really a refutation in the case of moves which
// fail low). Score is normally set at -VALUE_INFINITE for all non-pv moves.
/// RootMove struct is used for moves at the root of the tree. For each root move
/// we store a score and a PV (really a refutation in the case of moves which
/// fail low). Score is normally set at -VALUE_INFINITE for all non-pv moves.
struct RootMove {
explicit RootMove(Move m) :
pv(1, m) {}
bool extract_ponder_from_tt(const TranspositionTable& tt, Position& pos);
bool operator==(const Move& m) const { return pv[0] == m; }
// Sort in descending order
bool operator<(const RootMove& m) const {
return m.score != score ? m.score < score : m.previousScore < previousScore;
}
explicit RootMove(Move m) : pv(1, m) {}
bool extract_ponder_from_tt(Position& pos);
bool operator==(const Move& m) const { return pv[0] == m; }
bool operator<(const RootMove& m) const { // Sort in descending order
return m.score != score ? m.score < score
: m.previousScore < previousScore;
}
Value score = -VALUE_INFINITE;
Value previousScore = -VALUE_INFINITE;
Value averageScore = -VALUE_INFINITE;
Value uciScore = -VALUE_INFINITE;
bool scoreLowerbound = false;
bool scoreUpperbound = false;
int selDepth = 0;
int tbRank = 0;
Value tbScore;
std::vector<Move> pv;
Value score = -VALUE_INFINITE;
Value previousScore = -VALUE_INFINITE;
int selDepth = 0;
int tbRank = 0;
int bestMoveCount = 0;
Value tbScore;
std::vector<Move> pv;
};
using RootMoves = std::vector<RootMove>;
typedef std::vector<RootMove> RootMoves;
// LimitsType struct stores information sent by GUI about available time to
// search the current move, maximum depth/time, or if we are in analysis mode.
/// LimitsType struct stores information sent by GUI about available time to
/// search the current move, maximum depth/time, or if we are in analysis mode.
struct LimitsType {
// Init explicitly due to broken value-initialization of non POD in MSVC
LimitsType() {
time[WHITE] = time[BLACK] = inc[WHITE] = inc[BLACK] = npmsec = movetime = TimePoint(0);
movestogo = depth = mate = perft = infinite = 0;
nodes = 0;
}
LimitsType() { // Init explicitly due to broken value-initialization of non POD in MSVC
time[WHITE] = time[BLACK] = inc[WHITE] = inc[BLACK] = npmsec = movetime = TimePoint(0);
movestogo = depth = mate = perft = infinite = 0;
nodes = 0;
}
bool use_time_management() const { return time[WHITE] || time[BLACK]; }
bool use_time_management() const {
return time[WHITE] || time[BLACK];
}
std::vector<Move> searchmoves;
TimePoint time[COLOR_NB], inc[COLOR_NB], npmsec, movetime, startTime;
int movestogo, depth, mate, perft, infinite;
uint64_t nodes;
std::vector<Move> searchmoves;
TimePoint time[COLOR_NB], inc[COLOR_NB], npmsec, movetime, startTime;
int movestogo, depth, mate, perft, infinite;
int64_t nodes;
};
extern LimitsType Limits;
// The UCI stores the uci options, thread pool, and transposition table.
// This struct is used to easily forward data to the Search::Worker class.
struct SharedState {
SharedState(const OptionsMap& optionsMap,
ThreadPool& threadPool,
TranspositionTable& transpositionTable) :
options(optionsMap),
threads(threadPool),
tt(transpositionTable) {}
void init();
void clear();
const OptionsMap& options;
ThreadPool& threads;
TranspositionTable& tt;
};
} // namespace Search
class Worker;
// Null Object Pattern, implement a common interface for the SearchManagers.
// A Null Object will be given to non-mainthread workers.
class ISearchManager {
public:
virtual ~ISearchManager() {}
virtual void check_time(Search::Worker&) = 0;
};
// SearchManager manages the search from the main thread. It is responsible for
// keeping track of the time, and storing data strictly related to the main thread.
class SearchManager: public ISearchManager {
public:
void check_time(Search::Worker& worker) override;
std::string pv(const Search::Worker& worker,
const ThreadPool& threads,
const TranspositionTable& tt,
Depth depth) const;
Stockfish::TimeManagement tm;
int callsCnt;
std::atomic_bool ponder;
std::array<Value, 4> iterValue;
double previousTimeReduction;
Value bestPreviousScore;
Value bestPreviousAverageScore;
bool stopOnPonderhit;
size_t id;
};
class NullSearchManager: public ISearchManager {
public:
void check_time(Search::Worker&) override {}
};
// Search::Worker is the class that does the actual search.
// It is instantiated once per thread, and it is responsible for keeping track
// of the search history, and storing data required for the search.
class Worker {
public:
Worker(SharedState&, std::unique_ptr<ISearchManager>, size_t);
// Called at instantiation to initialize Reductions tables
// Reset histories, usually before a new game
void clear();
// Called when the program receives the UCI 'go' command.
// It searches from the root position and outputs the "bestmove".
void start_searching();
bool is_mainthread() const { return thread_idx == 0; }
// Public because they need to be updatable by the stats
CounterMoveHistory counterMoves;
ButterflyHistory mainHistory;
CapturePieceToHistory captureHistory;
ContinuationHistory continuationHistory[2][2];
PawnHistory pawnHistory;
CorrectionHistory correctionHistory;
private:
void iterative_deepening();
// Main search function for both PV and non-PV nodes
template<NodeType nodeType>
Value search(Position& pos, Stack* ss, Value alpha, Value beta, Depth depth, bool cutNode);
// Quiescence search function, which is called by the main search
template<NodeType nodeType>
Value qsearch(Position& pos, Stack* ss, Value alpha, Value beta, Depth depth = 0);
Depth reduction(bool i, Depth d, int mn, int delta);
// Get a pointer to the search manager, only allowed to be called by the
// main thread.
SearchManager* main_manager() const {
assert(thread_idx == 0);
return static_cast<SearchManager*>(manager.get());
}
std::array<std::array<uint64_t, SQUARE_NB>, SQUARE_NB> effort;
LimitsType limits;
size_t pvIdx, pvLast;
std::atomic<uint64_t> nodes, tbHits, bestMoveChanges;
int selDepth, nmpMinPly;
Value optimism[COLOR_NB];
Position rootPos;
StateInfo rootState;
RootMoves rootMoves;
Depth rootDepth, completedDepth;
Value rootDelta;
size_t thread_idx;
// Reductions lookup table initialized at startup
std::array<int, MAX_MOVES> reductions; // [depth or moveNumber]
// The main thread has a SearchManager, the others have a NullSearchManager
std::unique_ptr<ISearchManager> manager;
Tablebases::Config tbConfig;
const OptionsMap& options;
ThreadPool& threads;
TranspositionTable& tt;
friend class Stockfish::ThreadPool;
friend class SearchManager;
};
} // namespace Search
} // namespace Stockfish
#endif // #ifndef SEARCH_H_INCLUDED
#endif // #ifndef SEARCH_H_INCLUDED
+382 -512
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+42 -39
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@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -19,57 +19,60 @@
#ifndef TBPROBE_H
#define TBPROBE_H
#include <string>
#include <vector>
#include <ostream>
#include "../search.h"
namespace Stockfish {
class Position;
class OptionsMap;
using Depth = int;
namespace Search {
struct RootMove;
using RootMoves = std::vector<RootMove>;
}
}
namespace Stockfish::Tablebases {
struct Config {
int cardinality = 0;
bool rootInTB = false;
bool useRule50 = false;
Depth probeDepth = 0;
};
namespace Tablebases {
enum WDLScore {
WDLLoss = -2, // Loss
WDLBlessedLoss = -1, // Loss, but draw under 50-move rule
WDLDraw = 0, // Draw
WDLCursedWin = 1, // Win, but draw under 50-move rule
WDLWin = 2, // Win
WDLLoss = -2, // Loss
WDLBlessedLoss = -1, // Loss, but draw under 50-move rule
WDLDraw = 0, // Draw
WDLCursedWin = 1, // Win, but draw under 50-move rule
WDLWin = 2, // Win
WDLScoreNone = -1000
};
// Possible states after a probing operation
enum ProbeState {
FAIL = 0, // Probe failed (missing file table)
OK = 1, // Probe successful
CHANGE_STM = -1, // DTZ should check the other side
ZEROING_BEST_MOVE = 2 // Best move zeroes DTZ (capture or pawn move)
FAIL = 0, // Probe failed (missing file table)
OK = 1, // Probe succesful
CHANGE_STM = -1, // DTZ should check the other side
ZEROING_BEST_MOVE = 2 // Best move zeroes DTZ (capture or pawn move)
};
extern int MaxCardinality;
void init(const std::string& paths);
void init(const std::string& paths);
WDLScore probe_wdl(Position& pos, ProbeState* result);
int probe_dtz(Position& pos, ProbeState* result);
bool root_probe(Position& pos, Search::RootMoves& rootMoves, bool rule50);
bool root_probe_wdl(Position& pos, Search::RootMoves& rootMoves, bool rule50);
Config rank_root_moves(const OptionsMap& options, Position& pos, Search::RootMoves& rootMoves);
int probe_dtz(Position& pos, ProbeState* result);
bool root_probe(Position& pos, Search::RootMoves& rootMoves);
bool root_probe_wdl(Position& pos, Search::RootMoves& rootMoves);
void rank_root_moves(Position& pos, Search::RootMoves& rootMoves);
} // namespace Stockfish::Tablebases
inline std::ostream& operator<<(std::ostream& os, const WDLScore v) {
os << (v == WDLLoss ? "Loss" :
v == WDLBlessedLoss ? "Blessed loss" :
v == WDLDraw ? "Draw" :
v == WDLCursedWin ? "Cursed win" :
v == WDLWin ? "Win" : "None");
return os;
}
inline std::ostream& operator<<(std::ostream& os, const ProbeState v) {
os << (v == FAIL ? "Failed" :
v == OK ? "Success" :
v == CHANGE_STM ? "Probed opponent side" :
v == ZEROING_BEST_MOVE ? "Best move zeroes DTZ" : "None");
return os;
}
}
#endif
+170 -195
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@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -16,284 +16,259 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "thread.h"
#include <algorithm>
#include <cassert>
#include <deque>
#include <memory>
#include <unordered_map>
#include <utility>
#include <array>
#include "misc.h"
#include <algorithm> // For std::count
#include "movegen.h"
#include "search.h"
#include "thread.h"
#include "uci.h"
#include "syzygy/tbprobe.h"
#include "timeman.h"
#include "tt.h"
#include "types.h"
#include "ucioption.h"
namespace Stockfish {
ThreadPool Threads; // Global object
// Constructor launches the thread and waits until it goes to sleep
// in idle_loop(). Note that 'searching' and 'exit' should be already set.
Thread::Thread(Search::SharedState& sharedState,
std::unique_ptr<Search::ISearchManager> sm,
size_t n) :
worker(std::make_unique<Search::Worker>(sharedState, std::move(sm), n)),
idx(n),
nthreads(sharedState.options["Threads"]),
stdThread(&Thread::idle_loop, this) {
wait_for_search_finished();
/// Thread constructor launches the thread and waits until it goes to sleep
/// in idle_loop(). Note that 'searching' and 'exit' should be already set.
Thread::Thread(size_t n) : idx(n), stdThread(&Thread::idle_loop, this) {
wait_for_search_finished();
}
// Destructor wakes up the thread in idle_loop() and waits
// for its termination. Thread should be already waiting.
/// Thread destructor wakes up the thread in idle_loop() and waits
/// for its termination. Thread should be already waiting.
Thread::~Thread() {
assert(!searching);
assert(!searching);
exit = true;
start_searching();
stdThread.join();
exit = true;
start_searching();
stdThread.join();
}
// Wakes up the thread that will start the search
/// Thread::bestMoveCount(Move move) return best move counter for the given root move
int Thread::best_move_count(Move move) const {
auto rm = std::find(rootMoves.begin() + pvIdx,
rootMoves.begin() + pvLast, move);
return rm != rootMoves.begin() + pvLast ? rm->bestMoveCount : 0;
}
/// Thread::clear() reset histories, usually before a new game
void Thread::clear() {
counterMoves.fill(MOVE_NONE);
mainHistory.fill(0);
lowPlyHistory.fill(0);
captureHistory.fill(0);
for (bool inCheck : { false, true })
for (StatsType c : { NoCaptures, Captures })
{
for (auto& to : continuationHistory[inCheck][c])
for (auto& h : to)
h->fill(0);
continuationHistory[inCheck][c][NO_PIECE][0]->fill(Search::CounterMovePruneThreshold - 1);
}
}
/// Thread::start_searching() wakes up the thread that will start the search
void Thread::start_searching() {
mutex.lock();
searching = true;
mutex.unlock(); // Unlock before notifying saves a few CPU-cycles
cv.notify_one(); // Wake up the thread in idle_loop()
std::lock_guard<std::mutex> lk(mutex);
searching = true;
cv.notify_one(); // Wake up the thread in idle_loop()
}
// Blocks on the condition variable
// until the thread has finished searching.
/// Thread::wait_for_search_finished() blocks on the condition variable
/// until the thread has finished searching.
void Thread::wait_for_search_finished() {
std::unique_lock<std::mutex> lk(mutex);
cv.wait(lk, [&] { return !searching; });
std::unique_lock<std::mutex> lk(mutex);
cv.wait(lk, [&]{ return !searching; });
}
// Thread gets parked here, blocked on the
// condition variable, when it has no work to do.
/// Thread::idle_loop() is where the thread is parked, blocked on the
/// condition variable, when it has no work to do.
void Thread::idle_loop() {
// If OS already scheduled us on a different group than 0 then don't overwrite
// the choice, eventually we are one of many one-threaded processes running on
// some Windows NUMA hardware, for instance in fishtest. To make it simple,
// just check if running threads are below a threshold, in this case, all this
// NUMA machinery is not needed.
if (nthreads > 8)
WinProcGroup::bindThisThread(idx);
// If OS already scheduled us on a different group than 0 then don't overwrite
// the choice, eventually we are one of many one-threaded processes running on
// some Windows NUMA hardware, for instance in fishtest. To make it simple,
// just check if running threads are below a threshold, in this case all this
// NUMA machinery is not needed.
if (Options["Threads"] > 8)
WinProcGroup::bindThisThread(idx);
while (true)
{
std::unique_lock<std::mutex> lk(mutex);
searching = false;
cv.notify_one(); // Wake up anyone waiting for search finished
cv.wait(lk, [&] { return searching; });
while (true)
{
std::unique_lock<std::mutex> lk(mutex);
searching = false;
cv.notify_one(); // Wake up anyone waiting for search finished
cv.wait(lk, [&]{ return searching; });
if (exit)
return;
if (exit)
return;
lk.unlock();
lk.unlock();
worker->start_searching();
}
search();
}
}
// Creates/destroys threads to match the requested number.
// Created and launched threads will immediately go to sleep in idle_loop.
// Upon resizing, threads are recreated to allow for binding if necessary.
void ThreadPool::set(Search::SharedState sharedState) {
/// ThreadPool::set() creates/destroys threads to match the requested number.
/// Created and launched threads will immediately go to sleep in idle_loop.
/// Upon resizing, threads are recreated to allow for binding if necessary.
if (threads.size() > 0) // destroy any existing thread(s)
{
main_thread()->wait_for_search_finished();
void ThreadPool::set(size_t requested) {
while (threads.size() > 0)
delete threads.back(), threads.pop_back();
}
if (size() > 0) { // destroy any existing thread(s)
main()->wait_for_search_finished();
const size_t requested = sharedState.options["Threads"];
while (size() > 0)
delete back(), pop_back();
}
if (requested > 0) // create new thread(s)
{
threads.push_back(new Thread(
sharedState, std::unique_ptr<Search::ISearchManager>(new Search::SearchManager()), 0));
if (requested > 0) { // create new thread(s)
push_back(new MainThread(0));
while (size() < requested)
push_back(new Thread(size()));
clear();
while (threads.size() < requested)
threads.push_back(new Thread(
sharedState, std::unique_ptr<Search::ISearchManager>(new Search::NullSearchManager()),
threads.size()));
clear();
// Reallocate the hash with the new threadpool size
TT.resize(size_t(Options["Hash"]));
main_thread()->wait_for_search_finished();
// Reallocate the hash with the new threadpool size
sharedState.tt.resize(sharedState.options["Hash"], requested);
}
// Init thread number dependent search params.
Search::init();
}
}
// Sets threadPool data to initial values
/// ThreadPool::clear() sets threadPool data to initial values
void ThreadPool::clear() {
for (Thread* th : threads)
th->worker->clear();
for (Thread* th : *this)
th->clear();
main_manager()->callsCnt = 0;
main_manager()->bestPreviousScore = VALUE_INFINITE;
main_manager()->bestPreviousAverageScore = VALUE_INFINITE;
main_manager()->previousTimeReduction = 1.0;
main_manager()->tm.clear();
main()->callsCnt = 0;
main()->bestPreviousScore = VALUE_INFINITE;
main()->previousTimeReduction = 1.0;
}
// Wakes up main thread waiting in idle_loop() and
// returns immediately. Main thread will wake up other threads and start the search.
void ThreadPool::start_thinking(const OptionsMap& options,
Position& pos,
StateListPtr& states,
Search::LimitsType limits,
bool ponderMode) {
/// ThreadPool::start_thinking() wakes up main thread waiting in idle_loop() and
/// returns immediately. Main thread will wake up other threads and start the search.
main_thread()->wait_for_search_finished();
void ThreadPool::start_thinking(Position& pos, StateListPtr& states,
const Search::LimitsType& limits, bool ponderMode) {
main_manager()->stopOnPonderhit = stop = abortedSearch = false;
main_manager()->ponder = ponderMode;
main()->wait_for_search_finished();
increaseDepth = true;
main()->stopOnPonderhit = stop = false;
increaseDepth = true;
main()->ponder = ponderMode;
Search::Limits = limits;
Search::RootMoves rootMoves;
Search::RootMoves rootMoves;
for (const auto& m : MoveList<LEGAL>(pos))
if ( limits.searchmoves.empty()
|| std::count(limits.searchmoves.begin(), limits.searchmoves.end(), m))
rootMoves.emplace_back(m);
for (const auto& m : MoveList<LEGAL>(pos))
if (limits.searchmoves.empty()
|| std::count(limits.searchmoves.begin(), limits.searchmoves.end(), m))
rootMoves.emplace_back(m);
if (!rootMoves.empty())
Tablebases::rank_root_moves(pos, rootMoves);
Tablebases::Config tbConfig = Tablebases::rank_root_moves(options, pos, rootMoves);
// After ownership transfer 'states' becomes empty, so if we stop the search
// and call 'go' again without setting a new position states.get() == NULL.
assert(states.get() || setupStates.get());
// After ownership transfer 'states' becomes empty, so if we stop the search
// and call 'go' again without setting a new position states.get() == nullptr.
assert(states.get() || setupStates.get());
if (states.get())
setupStates = std::move(states); // Ownership transfer, states is now empty
if (states.get())
setupStates = std::move(states); // Ownership transfer, states is now empty
// We use Position::set() to set root position across threads. But there are
// some StateInfo fields (previous, pliesFromNull, capturedPiece) that cannot
// be deduced from a fen string, so set() clears them and to not lose the info
// we need to backup and later restore setupStates->back(). Note that setupStates
// is shared by threads but is accessed in read-only mode.
StateInfo tmp = setupStates->back();
// We use Position::set() to set root position across threads. But there are
// some StateInfo fields (previous, pliesFromNull, capturedPiece) that cannot
// be deduced from a fen string, so set() clears them and they are set from
// setupStates->back() later. The rootState is per thread, earlier states are shared
// since they are read-only.
for (Thread* th : threads)
{
th->worker->limits = limits;
th->worker->nodes = th->worker->tbHits = th->worker->nmpMinPly =
th->worker->bestMoveChanges = 0;
th->worker->rootDepth = th->worker->completedDepth = 0;
th->worker->rootMoves = rootMoves;
th->worker->rootPos.set(pos.fen(), pos.is_chess960(), &th->worker->rootState);
th->worker->rootState = setupStates->back();
th->worker->tbConfig = tbConfig;
th->worker->effort = {};
}
for (Thread* th : *this)
{
th->nodes = th->tbHits = th->nmpMinPly = th->bestMoveChanges = 0;
th->rootDepth = th->completedDepth = 0;
th->rootMoves = rootMoves;
th->rootPos.set(pos.fen(), pos.is_chess960(), &setupStates->back(), th);
}
main_thread()->start_searching();
setupStates->back() = tmp;
main()->start_searching();
}
Thread* ThreadPool::get_best_thread() const {
Thread* bestThread = threads.front();
Value minScore = VALUE_NONE;
Thread* bestThread = front();
std::map<Move, int64_t> votes;
Value minScore = VALUE_NONE;
std::unordered_map<Move, int64_t, Move::MoveHash> votes(
2 * std::min(size(), bestThread->worker->rootMoves.size()));
// Find the minimum score of all threads
for (Thread* th : threads)
minScore = std::min(minScore, th->worker->rootMoves[0].score);
// Find minimum score of all threads
for (Thread* th: *this)
minScore = std::min(minScore, th->rootMoves[0].score);
// Vote according to score and depth, and select the best thread
auto thread_voting_value = [minScore](Thread* th) {
return (th->worker->rootMoves[0].score - minScore + 14) * int(th->worker->completedDepth);
};
for (Thread* th : threads)
votes[th->worker->rootMoves[0].pv[0]] += thread_voting_value(th);
for (Thread* th : threads)
for (Thread* th : *this)
{
const auto bestThreadScore = bestThread->worker->rootMoves[0].score;
const auto newThreadScore = th->worker->rootMoves[0].score;
votes[th->rootMoves[0].pv[0]] +=
(th->rootMoves[0].score - minScore + 14) * int(th->completedDepth);
const auto& bestThreadPV = bestThread->worker->rootMoves[0].pv;
const auto& newThreadPV = th->worker->rootMoves[0].pv;
const auto bestThreadMoveVote = votes[bestThreadPV[0]];
const auto newThreadMoveVote = votes[newThreadPV[0]];
const bool bestThreadInProvenWin = bestThreadScore >= VALUE_TB_WIN_IN_MAX_PLY;
const bool newThreadInProvenWin = newThreadScore >= VALUE_TB_WIN_IN_MAX_PLY;
const bool bestThreadInProvenLoss =
bestThreadScore != -VALUE_INFINITE && bestThreadScore <= VALUE_TB_LOSS_IN_MAX_PLY;
const bool newThreadInProvenLoss =
newThreadScore != -VALUE_INFINITE && newThreadScore <= VALUE_TB_LOSS_IN_MAX_PLY;
// Note that we make sure not to pick a thread with truncated-PV for better viewer experience.
const bool betterVotingValue =
thread_voting_value(th) * int(newThreadPV.size() > 2)
> thread_voting_value(bestThread) * int(bestThreadPV.size() > 2);
if (bestThreadInProvenWin)
{
// Make sure we pick the shortest mate / TB conversion
if (newThreadScore > bestThreadScore)
bestThread = th;
}
else if (bestThreadInProvenLoss)
{
// Make sure we pick the shortest mated / TB conversion
if (newThreadInProvenLoss && newThreadScore < bestThreadScore)
bestThread = th;
}
else if (newThreadInProvenWin || newThreadInProvenLoss
|| (newThreadScore > VALUE_TB_LOSS_IN_MAX_PLY
&& (newThreadMoveVote > bestThreadMoveVote
|| (newThreadMoveVote == bestThreadMoveVote && betterVotingValue))))
bestThread = th;
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;
}
// Start non-main threads
// Will be invoked by main thread after it has started searching
/// Start non-main threads
void ThreadPool::start_searching() {
for (Thread* th : threads)
if (th != threads.front())
for (Thread* th : *this)
if (th != front())
th->start_searching();
}
// Wait for non-main threads
/// Wait for non-main threads
void ThreadPool::wait_for_search_finished() const {
for (Thread* th : threads)
if (th != threads.front())
for (Thread* th : *this)
if (th != front())
th->wait_for_search_finished();
}
} // namespace Stockfish
+85 -76
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -21,101 +21,110 @@
#include <atomic>
#include <condition_variable>
#include <cstddef>
#include <cstdint>
#include <memory>
#include <mutex>
#include <thread>
#include <vector>
#include "material.h"
#include "movepick.h"
#include "pawns.h"
#include "position.h"
#include "search.h"
#include "thread_win32_osx.h"
namespace Stockfish {
class OptionsMap;
using Value = int;
/// Thread class keeps together all the thread-related stuff. We use
/// per-thread pawn and material hash tables so that once we get a
/// pointer to an entry its life time is unlimited and we don't have
/// to care about someone changing the entry under our feet.
// Abstraction of a thread. It contains a pointer to the worker and a native thread.
// After construction, the native thread is started with idle_loop()
// waiting for a signal to start searching.
// When the signal is received, the thread starts searching and when
// the search is finished, it goes back to idle_loop() waiting for a new signal.
class Thread {
public:
Thread(Search::SharedState&, std::unique_ptr<Search::ISearchManager>, size_t);
virtual ~Thread();
void idle_loop();
void start_searching();
void wait_for_search_finished();
size_t id() const { return idx; }
std::mutex mutex;
std::condition_variable cv;
size_t idx;
bool exit = false, searching = true; // Set before starting std::thread
NativeThread stdThread;
std::unique_ptr<Search::Worker> worker;
public:
explicit Thread(size_t);
virtual ~Thread();
virtual void search();
void clear();
void idle_loop();
void start_searching();
void wait_for_search_finished();
int best_move_count(Move move) const;
private:
std::mutex mutex;
std::condition_variable cv;
size_t idx, nthreads;
bool exit = false, searching = true; // Set before starting std::thread
NativeThread stdThread;
Pawns::Table pawnsTable;
Material::Table materialTable;
size_t pvIdx, pvLast;
uint64_t ttHitAverage;
int selDepth, nmpMinPly;
Color nmpColor;
std::atomic<uint64_t> nodes, tbHits, bestMoveChanges;
Position rootPos;
Search::RootMoves rootMoves;
Depth rootDepth, completedDepth;
CounterMoveHistory counterMoves;
ButterflyHistory mainHistory;
LowPlyHistory lowPlyHistory;
CapturePieceToHistory captureHistory;
ContinuationHistory continuationHistory[2][2];
Score contempt;
};
// ThreadPool struct handles all the threads-related stuff like init, starting,
// parking and, most importantly, launching a thread. All the access to threads
// is done through this class.
class ThreadPool {
/// MainThread is a derived class specific for main thread
public:
~ThreadPool() {
// destroy any existing thread(s)
if (threads.size() > 0)
{
main_thread()->wait_for_search_finished();
struct MainThread : public Thread {
while (threads.size() > 0)
delete threads.back(), threads.pop_back();
}
}
using Thread::Thread;
void
start_thinking(const OptionsMap&, Position&, StateListPtr&, Search::LimitsType, bool = false);
void clear();
void set(Search::SharedState);
void search() override;
void check_time();
Search::SearchManager* main_manager() const {
return static_cast<Search::SearchManager*>(main_thread()->worker.get()->manager.get());
};
Thread* main_thread() const { return threads.front(); }
uint64_t nodes_searched() const { return accumulate(&Search::Worker::nodes); }
uint64_t tb_hits() const { return accumulate(&Search::Worker::tbHits); }
Thread* get_best_thread() const;
void start_searching();
void wait_for_search_finished() const;
std::atomic_bool stop, abortedSearch, increaseDepth;
auto cbegin() const noexcept { return threads.cbegin(); }
auto begin() noexcept { return threads.begin(); }
auto end() noexcept { return threads.end(); }
auto cend() const noexcept { return threads.cend(); }
auto size() const noexcept { return threads.size(); }
auto empty() const noexcept { return threads.empty(); }
private:
StateListPtr setupStates;
std::vector<Thread*> threads;
uint64_t accumulate(std::atomic<uint64_t> Search::Worker::*member) const {
uint64_t sum = 0;
for (Thread* th : threads)
sum += (th->worker.get()->*member).load(std::memory_order_relaxed);
return sum;
}
double previousTimeReduction;
Value bestPreviousScore;
Value iterValue[4];
int callsCnt;
bool stopOnPonderhit;
std::atomic_bool ponder;
};
} // namespace Stockfish
#endif // #ifndef THREAD_H_INCLUDED
/// ThreadPool struct handles all the threads-related stuff like init, starting,
/// parking and, most importantly, launching a thread. All the access to threads
/// is done through this class.
struct ThreadPool : public std::vector<Thread*> {
void start_thinking(Position&, StateListPtr&, const Search::LimitsType&, bool = false);
void clear();
void set(size_t);
MainThread* main() const { return static_cast<MainThread*>(front()); }
uint64_t nodes_searched() const { return accumulate(&Thread::nodes); }
uint64_t tb_hits() const { return accumulate(&Thread::tbHits); }
Thread* get_best_thread() const;
void start_searching();
void wait_for_search_finished() const;
std::atomic_bool stop, increaseDepth;
private:
StateListPtr setupStates;
uint64_t accumulate(std::atomic<uint64_t> Thread::* member) const {
uint64_t sum = 0;
for (Thread* th : *this)
sum += (th->*member).load(std::memory_order_relaxed);
return sum;
}
};
extern ThreadPool Threads;
#endif // #ifndef THREAD_H_INCLUDED
+31 -43
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -21,58 +21,46 @@
#include <thread>
// On OSX threads other than the main thread are created with a reduced stack
// size of 512KB by default, this is too low for deep searches, which require
// somewhat more than 1MB stack, so adjust it to TH_STACK_SIZE.
// The implementation calls pthread_create() with the stack size parameter
// equal to the Linux 8MB default, on platforms that support it.
/// On OSX threads other than the main thread are created with a reduced stack
/// size of 512KB by default, this is too low for deep searches, which require
/// somewhat more than 1MB stack, so adjust it to TH_STACK_SIZE.
/// The implementation calls pthread_create() with the stack size parameter
/// equal to the linux 8MB default, on platforms that support it.
#if defined(__APPLE__) || defined(__MINGW32__) || defined(__MINGW64__) || defined(USE_PTHREADS)
#if defined(__APPLE__) || defined(__MINGW32__) || defined(__MINGW64__)
#include <pthread.h>
#include <functional>
#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::*)()>>
void* start_routine(void* ptr)
{
P* p = reinterpret_cast<P*>(ptr);
(p->first->*(p->second))(); // Call member function pointer
delete p;
return NULL;
}
class NativeThread {
pthread_t thread;
static constexpr size_t TH_STACK_SIZE = 8 * 1024 * 1024;
pthread_t thread;
public:
template<class Function, class... Args>
explicit NativeThread(Function&& fun, Args&&... args) {
auto func = new std::function<void()>(
std::bind(std::forward<Function>(fun), std::forward<Args>(args)...));
pthread_attr_t attr_storage, *attr = &attr_storage;
pthread_attr_init(attr);
pthread_attr_setstacksize(attr, TH_STACK_SIZE);
auto start_routine = [](void* ptr) -> void* {
auto f = reinterpret_cast<std::function<void()>*>(ptr);
// Call the function
(*f)();
delete f;
return nullptr;
};
pthread_create(&thread, attr, start_routine, func);
}
void join() { pthread_join(thread, nullptr); }
public:
template<class T, class P = std::pair<T*, void(T::*)()>>
explicit NativeThread(void(T::*fun)(), T* obj) {
pthread_attr_t attr_storage, *attr = &attr_storage;
pthread_attr_init(attr);
pthread_attr_setstacksize(attr, TH_STACK_SIZE);
pthread_create(&thread, attr, start_routine<T>, new P(obj, fun));
}
void join() { pthread_join(thread, NULL); }
};
} // namespace Stockfish
#else // Default case: use STL classes
#else // Default case: use STL classes
namespace Stockfish {
using NativeThread = std::thread;
} // namespace Stockfish
typedef std::thread NativeThread;
#endif
#endif // #ifndef THREAD_WIN32_OSX_H_INCLUDED
#endif // #ifndef THREAD_WIN32_OSX_H_INCLUDED
+57 -86
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@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -16,111 +16,82 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "timeman.h"
#include <algorithm>
#include <cassert>
#include <cfloat>
#include <cmath>
#include <cstdint>
#include "search.h"
#include "ucioption.h"
#include "timeman.h"
#include "uci.h"
namespace Stockfish {
TimeManagement Time; // Our global time management object
TimePoint TimeManagement::optimum() const { return optimumTime; }
TimePoint TimeManagement::maximum() const { return maximumTime; }
TimePoint TimeManagement::elapsed(size_t nodes) const {
return useNodesTime ? TimePoint(nodes) : now() - startTime;
}
void TimeManagement::clear() {
availableNodes = 0; // When in 'nodes as time' mode
}
void TimeManagement::advance_nodes_time(std::int64_t nodes) {
assert(useNodesTime);
availableNodes += nodes;
}
// Called at the beginning of the search and calculates
// the bounds of time allowed for the current game ply. We currently support:
/// TimeManagement::init() is called at the beginning of the search and calculates
/// the bounds of time allowed for the current game ply. We currently support:
// 1) x basetime (+ z increment)
// 2) x moves in y seconds (+ z increment)
void TimeManagement::init(Search::LimitsType& limits,
Color us,
int ply,
const OptionsMap& options) {
// If we have no time, no need to initialize TM, except for the start time,
// which is used by movetime.
startTime = limits.startTime;
if (limits.time[us] == 0)
return;
TimePoint moveOverhead = TimePoint(options["Move Overhead"]);
TimePoint npmsec = TimePoint(options["nodestime"]);
void TimeManagement::init(Search::LimitsType& limits, Color us, int ply) {
// optScale is a percentage of available time to use for the current move.
// maxScale is a multiplier applied to optimumTime.
double optScale, maxScale;
TimePoint moveOverhead = TimePoint(Options["Move Overhead"]);
TimePoint slowMover = TimePoint(Options["Slow Mover"]);
TimePoint npmsec = TimePoint(Options["nodestime"]);
// If we have to play in 'nodes as time' mode, then convert from time
// to nodes, and use resulting values in time management formulas.
// WARNING: to avoid time losses, the given npmsec (nodes per millisecond)
// must be much lower than the real engine speed.
if (npmsec)
{
useNodesTime = true;
// opt_scale is a percentage of available time to use for the current move.
// max_scale is a multiplier applied to optimumTime.
double opt_scale, max_scale;
if (!availableNodes) // Only once at game start
availableNodes = npmsec * limits.time[us]; // Time is in msec
// If we have to play in 'nodes as time' mode, then convert from time
// to nodes, and use resulting values in time management formulas.
// WARNING: to avoid time losses, the given npmsec (nodes per millisecond)
// must be much lower than the real engine speed.
if (npmsec)
{
if (!availableNodes) // Only once at game start
availableNodes = npmsec * limits.time[us]; // Time is in msec
// Convert from milliseconds to nodes
limits.time[us] = TimePoint(availableNodes);
limits.inc[us] *= npmsec;
limits.npmsec = npmsec;
}
// Convert from milliseconds to nodes
limits.time[us] = TimePoint(availableNodes);
limits.inc[us] *= npmsec;
limits.npmsec = npmsec;
}
// Maximum move horizon of 50 moves
int mtg = limits.movestogo ? std::min(limits.movestogo, 50) : 50;
startTime = limits.startTime;
// Make sure timeLeft is > 0 since we may use it as a divisor
TimePoint timeLeft = std::max(TimePoint(1), limits.time[us] + limits.inc[us] * (mtg - 1)
- moveOverhead * (2 + mtg));
// Maximum move horizon of 50 moves
int mtg = limits.movestogo ? std::min(limits.movestogo, 50) : 50;
// x basetime (+ z increment)
// If there is a healthy increment, timeLeft can exceed actual available
// game time for the current move, so also cap to 20% of available game time.
if (limits.movestogo == 0)
{
// Use extra time with larger increments
double optExtra = std::clamp(1.0 + 12.5 * limits.inc[us] / limits.time[us], 1.0, 1.11);
// Make sure timeLeft is > 0 since we may use it as a divisor
TimePoint timeLeft = std::max(TimePoint(1),
limits.time[us] + limits.inc[us] * (mtg - 1) - moveOverhead * (2 + mtg));
// Calculate time constants based on current time left.
double optConstant =
std::min(0.00334 + 0.0003 * std::log10(limits.time[us] / 1000.0), 0.0049);
double maxConstant = std::max(3.4 + 3.0 * std::log10(limits.time[us] / 1000.0), 2.76);
// A user may scale time usage by setting UCI option "Slow Mover"
// Default is 100 and changing this value will probably lose elo.
timeLeft = slowMover * timeLeft / 100;
optScale = std::min(0.0120 + std::pow(ply + 3.1, 0.44) * optConstant,
0.21 * limits.time[us] / double(timeLeft))
* optExtra;
maxScale = std::min(6.9, maxConstant + ply / 12.2);
}
// x basetime (+ z increment)
// If there is a healthy increment, timeLeft can exceed actual available
// game time for the current move, so also cap to 20% of available game time.
if (limits.movestogo == 0)
{
opt_scale = std::min(0.008 + std::pow(ply + 3.0, 0.5) / 250.0,
0.2 * limits.time[us] / double(timeLeft));
max_scale = std::min(7.0, 4.0 + ply / 12.0);
}
// x moves in y seconds (+ z increment)
else
{
optScale = std::min((0.88 + ply / 116.4) / mtg, 0.88 * limits.time[us] / double(timeLeft));
maxScale = std::min(6.3, 1.5 + 0.11 * mtg);
}
// x moves in y seconds (+ z increment)
else
{
opt_scale = std::min((0.8 + ply / 128.0) / mtg,
0.8 * limits.time[us] / double(timeLeft));
max_scale = std::min(6.3, 1.5 + 0.11 * mtg);
}
// Limit the maximum possible time for this move
optimumTime = TimePoint(optScale * timeLeft);
maximumTime =
TimePoint(std::min(0.84 * limits.time[us] - moveOverhead, maxScale * optimumTime)) - 10;
// Never use more than 80% of the available time for this move
optimumTime = TimePoint(opt_scale * timeLeft);
maximumTime = TimePoint(std::min(0.8 * limits.time[us] - moveOverhead, max_scale * optimumTime));
if (options["Ponder"])
optimumTime += optimumTime / 4;
if (Options["Ponder"])
optimumTime += optimumTime / 4;
}
} // namespace Stockfish
+18 -31
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@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -19,42 +19,29 @@
#ifndef TIMEMAN_H_INCLUDED
#define TIMEMAN_H_INCLUDED
#include <cstddef>
#include <cstdint>
#include "misc.h"
#include "types.h"
#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.
class OptionsMap;
namespace Search {
struct LimitsType;
}
// The TimeManagement class computes the optimal time to think depending on
// the maximum available time, the game move number, and other parameters.
class TimeManagement {
public:
void init(Search::LimitsType& limits, Color us, int ply, const OptionsMap& options);
public:
void init(Search::LimitsType& limits, Color us, int ply);
TimePoint optimum() const { return optimumTime; }
TimePoint maximum() const { return maximumTime; }
TimePoint elapsed() const { return Search::Limits.npmsec ?
TimePoint(Threads.nodes_searched()) : now() - startTime; }
TimePoint optimum() const;
TimePoint maximum() const;
TimePoint elapsed(std::size_t nodes) const;
int64_t availableNodes; // When in 'nodes as time' mode
void clear();
void advance_nodes_time(std::int64_t nodes);
private:
TimePoint startTime;
TimePoint optimumTime;
TimePoint maximumTime;
std::int64_t availableNodes = 0; // When in 'nodes as time' mode
bool useNodesTime = false; // True if we are in 'nodes as time' mode
private:
TimePoint startTime;
TimePoint optimumTime;
TimePoint maximumTime;
};
} // namespace Stockfish
extern TimeManagement Time;
#endif // #ifndef TIMEMAN_H_INCLUDED
#endif // #ifndef TIMEMAN_H_INCLUDED
+99 -96
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -16,137 +16,140 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "tt.h"
#include <cassert>
#include <cstdlib>
#include <cstring>
#include <cstring> // For std::memset
#include <iostream>
#include <thread>
#include <vector>
#include "bitboard.h"
#include "misc.h"
#include "thread.h"
#include "tt.h"
#include "uci.h"
namespace Stockfish {
TranspositionTable TT; // Our global transposition table
// Populates the TTEntry with a new node's data, possibly
// overwriting an old position. The update is not atomic and can be racy.
void TTEntry::save(
Key k, Value v, bool pv, Bound b, Depth d, Move m, Value ev, uint8_t generation8) {
/// TTEntry::save() populates the TTEntry with a new node's data, possibly
/// overwriting an old position. Update is not atomic and can be racy.
// Preserve any existing move for the same position
if (m || uint16_t(k) != key16)
move16 = m;
void TTEntry::save(Key k, Value v, bool pv, Bound b, Depth d, Move m, Value ev) {
// Overwrite less valuable entries (cheapest checks first)
if (b == BOUND_EXACT || uint16_t(k) != key16 || d - DEPTH_OFFSET + 2 * pv > depth8 - 4)
{
assert(d > DEPTH_OFFSET);
assert(d < 256 + DEPTH_OFFSET);
// Preserve any existing move for the same position
if (m || (uint16_t)k != key16)
move16 = (uint16_t)m;
key16 = uint16_t(k);
depth8 = uint8_t(d - DEPTH_OFFSET);
genBound8 = uint8_t(generation8 | uint8_t(pv) << 2 | b);
value16 = int16_t(v);
eval16 = int16_t(ev);
}
// Overwrite less valuable entries
if ((uint16_t)k != key16
|| d - DEPTH_OFFSET > depth8 - 4
|| b == BOUND_EXACT)
{
assert(d >= DEPTH_OFFSET);
key16 = (uint16_t)k;
value16 = (int16_t)v;
eval16 = (int16_t)ev;
genBound8 = (uint8_t)(TT.generation8 | uint8_t(pv) << 2 | b);
depth8 = (uint8_t)(d - DEPTH_OFFSET);
}
}
// Sets the size of the transposition table,
// measured in megabytes. Transposition table consists of a power of 2 number
// of clusters and each cluster consists of ClusterSize number of TTEntry.
void TranspositionTable::resize(size_t mbSize, int threadCount) {
aligned_large_pages_free(table);
/// TranspositionTable::resize() sets the size of the transposition table,
/// measured in megabytes. Transposition table consists of a power of 2 number
/// of clusters and each cluster consists of ClusterSize number of TTEntry.
clusterCount = mbSize * 1024 * 1024 / sizeof(Cluster);
void TranspositionTable::resize(size_t mbSize) {
table = static_cast<Cluster*>(aligned_large_pages_alloc(clusterCount * sizeof(Cluster)));
if (!table)
{
std::cerr << "Failed to allocate " << mbSize << "MB for transposition table." << std::endl;
exit(EXIT_FAILURE);
}
Threads.main()->wait_for_search_finished();
clear(threadCount);
aligned_ttmem_free(mem);
clusterCount = mbSize * 1024 * 1024 / sizeof(Cluster);
table = static_cast<Cluster*>(aligned_ttmem_alloc(clusterCount * sizeof(Cluster), mem));
if (!mem)
{
std::cerr << "Failed to allocate " << mbSize
<< "MB for transposition table." << std::endl;
exit(EXIT_FAILURE);
}
clear();
}
// Initializes the entire transposition table to zero,
// in a multi-threaded way.
void TranspositionTable::clear(size_t threadCount) {
std::vector<std::thread> threads;
/// TranspositionTable::clear() initializes the entire transposition table to zero,
// in a multi-threaded way.
for (size_t idx = 0; idx < size_t(threadCount); ++idx)
{
threads.emplace_back([this, idx, threadCount]() {
// Thread binding gives faster search on systems with a first-touch policy
if (threadCount > 8)
WinProcGroup::bindThisThread(idx);
void TranspositionTable::clear() {
// Each thread will zero its part of the hash table
const size_t stride = size_t(clusterCount / threadCount), start = size_t(stride * idx),
len = idx != size_t(threadCount) - 1 ? stride : clusterCount - start;
std::vector<std::thread> threads;
std::memset(&table[start], 0, len * sizeof(Cluster));
});
}
for (size_t idx = 0; idx < Options["Threads"]; ++idx)
{
threads.emplace_back([this, idx]() {
for (std::thread& th : threads)
th.join();
// Thread binding gives faster search on systems with a first-touch policy
if (Options["Threads"] > 8)
WinProcGroup::bindThisThread(idx);
// Each thread will zero its part of the hash table
const size_t stride = size_t(clusterCount / Options["Threads"]),
start = size_t(stride * idx),
len = idx != Options["Threads"] - 1 ?
stride : clusterCount - start;
std::memset(&table[start], 0, len * sizeof(Cluster));
});
}
for (std::thread& th : threads)
th.join();
}
// Looks up the current position in the transposition
// table. It returns true and a pointer to the TTEntry if the position is found.
// Otherwise, it returns false and a pointer to an empty or least valuable TTEntry
// to be replaced later. The replace value of an entry is calculated as its depth
// minus 8 times its relative age. TTEntry t1 is considered more valuable than
// TTEntry t2 if its replace value is greater than that of t2.
/// TranspositionTable::probe() looks up the current position in the transposition
/// table. It returns true and a pointer to the TTEntry if the position is found.
/// Otherwise, it returns false and a pointer to an empty or least valuable TTEntry
/// to be replaced later. The replace value of an entry is calculated as its depth
/// minus 8 times its relative age. TTEntry t1 is considered more valuable than
/// TTEntry t2 if its replace value is greater than that of t2.
TTEntry* TranspositionTable::probe(const Key key, bool& found) const {
TTEntry* const tte = first_entry(key);
const uint16_t key16 = uint16_t(key); // Use the low 16 bits as key inside the cluster
TTEntry* const tte = first_entry(key);
const uint16_t key16 = (uint16_t)key; // Use the low 16 bits as key inside the cluster
for (int i = 0; i < ClusterSize; ++i)
if (tte[i].key16 == key16 || !tte[i].depth8)
{
tte[i].genBound8 =
uint8_t(generation8 | (tte[i].genBound8 & (GENERATION_DELTA - 1))); // Refresh
for (int i = 0; i < ClusterSize; ++i)
if (!tte[i].key16 || tte[i].key16 == key16)
{
tte[i].genBound8 = uint8_t(generation8 | (tte[i].genBound8 & 0x7)); // Refresh
return found = bool(tte[i].depth8), &tte[i];
}
return found = (bool)tte[i].key16, &tte[i];
}
// Find an entry to be replaced according to the replacement strategy
TTEntry* replace = tte;
for (int i = 1; i < ClusterSize; ++i)
// Due to our packed storage format for generation and its cyclic
// nature we add GENERATION_CYCLE (256 is the modulus, plus what
// is needed to keep the unrelated lowest n bits from affecting
// the result) to calculate the entry age correctly even after
// generation8 overflows into the next cycle.
if (replace->depth8
- ((GENERATION_CYCLE + generation8 - replace->genBound8) & GENERATION_MASK)
> tte[i].depth8
- ((GENERATION_CYCLE + generation8 - tte[i].genBound8) & GENERATION_MASK))
replace = &tte[i];
// Find an entry to be replaced according to the replacement strategy
TTEntry* replace = tte;
for (int i = 1; i < ClusterSize; ++i)
// Due to our packed storage format for generation and its cyclic
// nature we add 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))
replace = &tte[i];
return found = false, replace;
return found = false, replace;
}
// Returns an approximation of the hashtable
// occupation during a search. The hash is x permill full, as per UCI protocol.
/// TranspositionTable::hashfull() returns an approximation of the hashtable
/// occupation during a search. The hash is x permill full, as per UCI protocol.
int TranspositionTable::hashfull() const {
int cnt = 0;
for (int i = 0; i < 1000; ++i)
for (int j = 0; j < ClusterSize; ++j)
cnt += table[i].entry[j].depth8
&& (table[i].entry[j].genBound8 & GENERATION_MASK) == generation8;
int cnt = 0;
for (int i = 0; i < 1000; ++i)
for (int j = 0; j < ClusterSize; ++j)
cnt += (table[i].entry[j].genBound8 & 0xF8) == generation8;
return cnt / ClusterSize;
return cnt / ClusterSize;
}
} // namespace Stockfish
+56 -68
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -19,92 +19,80 @@
#ifndef TT_H_INCLUDED
#define TT_H_INCLUDED
#include <cstddef>
#include <cstdint>
#include "misc.h"
#include "types.h"
namespace Stockfish {
/// TTEntry struct is the 10 bytes transposition table entry, defined as below:
///
/// key 16 bit
/// move 16 bit
/// value 16 bit
/// eval value 16 bit
/// generation 5 bit
/// pv node 1 bit
/// bound type 2 bit
/// depth 8 bit
// TTEntry struct is the 10 bytes transposition table entry, defined as below:
//
// key 16 bit
// depth 8 bit
// generation 5 bit
// pv node 1 bit
// bound type 2 bit
// move 16 bit
// value 16 bit
// eval value 16 bit
struct TTEntry {
Move move() const { return Move(move16); }
Value value() const { return Value(value16); }
Value eval() const { return Value(eval16); }
Depth depth() const { return Depth(depth8 + DEPTH_OFFSET); }
bool is_pv() const { return bool(genBound8 & 0x4); }
Bound bound() const { return Bound(genBound8 & 0x3); }
void save(Key k, Value v, bool pv, Bound b, Depth d, Move m, Value ev, uint8_t generation8);
Move move() const { return (Move )move16; }
Value value() const { return (Value)value16; }
Value eval() const { return (Value)eval16; }
Depth depth() const { return (Depth)depth8 + DEPTH_OFFSET; }
bool is_pv() const { return (bool)(genBound8 & 0x4); }
Bound bound() const { return (Bound)(genBound8 & 0x3); }
void save(Key k, Value v, bool pv, Bound b, Depth d, Move m, Value ev);
private:
friend class TranspositionTable;
private:
friend class TranspositionTable;
uint16_t key16;
uint8_t depth8;
uint8_t genBound8;
Move move16;
int16_t value16;
int16_t eval16;
uint16_t key16;
uint16_t move16;
int16_t value16;
int16_t eval16;
uint8_t genBound8;
uint8_t depth8;
};
// A TranspositionTable is an array of Cluster, of size clusterCount. Each
// cluster consists of ClusterSize number of TTEntry. Each non-empty TTEntry
// contains information on exactly one position. The size of a Cluster should
// divide the size of a cache line for best performance, as the cacheline is
// prefetched when possible.
/// A TranspositionTable is an array of Cluster, of size clusterCount. Each
/// cluster consists of ClusterSize number of TTEntry. Each non-empty TTEntry
/// contains information on exactly one position. The size of a Cluster should
/// divide the size of a cache line for best performance, as the cacheline is
/// prefetched when possible.
class TranspositionTable {
static constexpr int ClusterSize = 3;
static constexpr int ClusterSize = 3;
struct Cluster {
TTEntry entry[ClusterSize];
char padding[2]; // Pad to 32 bytes
};
struct Cluster {
TTEntry entry[ClusterSize];
char padding[2]; // Pad to 32 bytes
};
static_assert(sizeof(Cluster) == 32, "Unexpected Cluster size");
static_assert(sizeof(Cluster) == 32, "Unexpected Cluster size");
// Constants used to refresh the hash table periodically
static constexpr unsigned GENERATION_BITS = 3; // nb of bits reserved for other things
static constexpr int GENERATION_DELTA =
(1 << GENERATION_BITS); // increment for generation field
static constexpr int GENERATION_CYCLE = 255 + (1 << GENERATION_BITS); // cycle length
static constexpr int GENERATION_MASK =
(0xFF << GENERATION_BITS) & 0xFF; // mask to pull out generation number
public:
~TranspositionTable() { aligned_ttmem_free(mem); }
void new_search() { generation8 += 8; } // Lower 3 bits are used by PV flag and Bound
TTEntry* probe(const Key key, bool& found) const;
int hashfull() const;
void resize(size_t mbSize);
void clear();
public:
~TranspositionTable() { aligned_large_pages_free(table); }
void new_search() { generation8 += GENERATION_DELTA; } // Lower bits are used for other things
TTEntry* probe(const Key key, bool& found) const;
int hashfull() const;
void resize(size_t mbSize, int threadCount);
void clear(size_t threadCount);
TTEntry* first_entry(const Key key) const {
return &table[mul_hi64(key, clusterCount)].entry[0];
}
TTEntry* first_entry(const Key key) const {
return &table[mul_hi64(key, clusterCount)].entry[0];
}
private:
friend struct TTEntry;
uint8_t generation() const { return generation8; }
private:
friend struct TTEntry;
size_t clusterCount;
Cluster* table = nullptr;
uint8_t generation8 = 0; // Size must be not bigger than TTEntry::genBound8
size_t clusterCount;
Cluster* table;
void* mem;
uint8_t generation8; // Size must be not bigger than TTEntry::genBound8
};
} // namespace Stockfish
extern TranspositionTable TT;
#endif // #ifndef TT_H_INCLUDED
#endif // #ifndef TT_H_INCLUDED
+80 -54
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -16,88 +16,115 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "tune.h"
#include <algorithm>
#include <iostream>
#include <map>
#include <sstream>
#include <string>
#include "ucioption.h"
#include "types.h"
#include "misc.h"
#include "uci.h"
using std::string;
namespace Stockfish {
bool Tune::update_on_last;
const Option* LastOption = nullptr;
OptionsMap* Tune::options;
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) {
string name;
string name;
do
{
string token = names.substr(0, names.find(','));
do {
string token = names.substr(0, names.find(','));
if (pop)
names.erase(0, token.size() + 1);
if (pop)
names.erase(0, token.size() + 1);
std::stringstream ws(token);
name += (ws >> token, token); // Remove trailing whitespace
std::stringstream ws(token);
name += (ws >> token, token); // Remove trailing whitespace
} while (std::count(name.begin(), name.end(), '(') - std::count(name.begin(), name.end(), ')'));
} while ( std::count(name.begin(), name.end(), '(')
- std::count(name.begin(), name.end(), ')'));
return name;
return name;
}
static void on_tune(const Option& o) {
static void on_tune(const UCI::Option& o) {
if (!Tune::update_on_last || LastOption == &o)
Tune::read_options();
if (!Tune::update_on_last || LastOption == &o)
Tune::read_options();
}
static void make_option(OptionsMap* options, const string& n, int v, const SetRange& r) {
static void make_option(const string& n, int v, const SetRange& r) {
// Do not generate option when there is nothing to tune (ie. min = max)
if (r(v).first == r(v).second)
return;
// Do not generate option when there is nothing to tune (ie. min = max)
if (r(v).first == r(v).second)
return;
if (TuneResults.count(n))
v = TuneResults[n];
if (TuneResults.count(n))
v = TuneResults[n];
(*options)[n] << Option(v, r(v).first, r(v).second, on_tune);
LastOption = &((*options)[n]);
Options[n] << UCI::Option(v, r(v).first, r(v).second, on_tune);
LastOption = &Options[n];
// Print formatted parameters, ready to be copy-pasted in Fishtest
std::cout << n << "," << v << "," << r(v).first << "," << r(v).second << ","
<< (r(v).second - r(v).first) / 20.0 << ","
<< "0.0020" << std::endl;
// Print formatted parameters, ready to be copy-pasted in Fishtest
std::cout << n << ","
<< v << ","
<< r(v).first << "," << r(v).second << ","
<< (r(v).second - r(v).first) / 20.0 << ","
<< "0.0020"
<< std::endl;
}
template<>
void Tune::Entry<int>::init_option() {
make_option(options, name, value, range);
template<> void Tune::Entry<int>::init_option() { make_option(name, value, range); }
template<> void Tune::Entry<int>::read_option() {
if (Options.count(name))
value = int(Options[name]);
}
template<>
void Tune::Entry<int>::read_option() {
if (options->count(name))
value = int((*options)[name]);
template<> void Tune::Entry<Value>::init_option() { make_option(name, value, range); }
template<> void Tune::Entry<Value>::read_option() {
if (Options.count(name))
value = Value(int(Options[name]));
}
template<> void Tune::Entry<Score>::init_option() {
make_option("m" + name, mg_value(value), range);
make_option("e" + name, eg_value(value), range);
}
template<> void Tune::Entry<Score>::read_option() {
if (Options.count("m" + name))
value = make_score(int(Options["m" + name]), eg_value(value));
if (Options.count("e" + name))
value = make_score(mg_value(value), int(Options["e" + name]));
}
// Instead of a variable here we have a PostUpdate function: just call it
template<>
void Tune::Entry<Tune::PostUpdate>::init_option() {}
template<>
void Tune::Entry<Tune::PostUpdate>::read_option() {
value();
}
template<> void Tune::Entry<Tune::PostUpdate>::init_option() {}
template<> void Tune::Entry<Tune::PostUpdate>::read_option() { value(); }
} // namespace Stockfish
// 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;
}
// Init options with tuning session results instead of default values. Useful to
@@ -109,10 +136,9 @@ void Tune::Entry<Tune::PostUpdate>::read_option() {
//
// Then paste the output below, as the function body
#include <cmath>
namespace Stockfish {
void Tune::read_results() {
void Tune::read_results() { /* ...insert your values here... */
/* ...insert your values here... */
}
} // namespace Stockfish
+132 -120
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -19,163 +19,175 @@
#ifndef TUNE_H_INCLUDED
#define TUNE_H_INCLUDED
#include <cstddef>
#include <memory>
#include <string>
#include <type_traits> // IWYU pragma: keep
#include <utility>
#include <type_traits>
#include <vector>
namespace Stockfish {
class OptionsMap;
using Range = std::pair<int, int>; // Option's min-max values
using RangeFun = Range(int);
typedef std::pair<int, int> Range; // Option's min-max values
typedef Range (RangeFun) (int);
// Default Range function, to calculate Option's min-max values
inline Range default_range(int v) { return v > 0 ? Range(0, 2 * v) : Range(2 * v, 0); }
inline Range default_range(int v) {
return v > 0 ? Range(0, 2 * v) : Range(2 * v, 0);
}
struct SetRange {
explicit SetRange(RangeFun f) :
fun(f) {}
SetRange(int min, int max) :
fun(nullptr),
range(min, max) {}
Range operator()(int v) const { return fun ? fun(v) : range; }
explicit SetRange(RangeFun f) : fun(f) {}
SetRange(int min, int max) : fun(nullptr), range(min, max) {}
Range operator()(int v) const { return fun ? fun(v) : range; }
RangeFun* fun;
Range range;
RangeFun* fun;
Range range;
};
#define SetDefaultRange SetRange(default_range)
// Tune class implements the 'magic' code that makes the setup of a fishtest tuning
// session as easy as it can be. Mainly you have just to remove const qualifiers
// from the variables you want to tune and flag them for tuning, so if you have:
//
// const Value myValue[][2] = { { V(100), V(20) }, { V(7), V(78) } };
//
// If you have a my_post_update() function to run after values have been updated,
// and a my_range() function to set custom Option's min-max values, then you just
// remove the 'const' qualifiers and write somewhere below in the file:
//
// TUNE(SetRange(my_range), myValue, my_post_update);
//
// You can also set the range directly, and restore the default at the end
//
// TUNE(SetRange(-100, 100), myValue, SetDefaultRange);
//
// In case update function is slow and you have many parameters, you can add:
//
// UPDATE_ON_LAST();
//
// And the values update, including post update function call, will be done only
// once, after the engine receives the last UCI option, that is the one defined
// and created as the last one, so the GUI should send the options in the same
// order in which have been defined.
/// 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
/// if you have:
///
/// const Score myScore = S(10, 15);
/// const Value myValue[][2] = { { V(100), V(20) }, { V(7), V(78) } };
///
/// If you have a my_post_update() function to run after values have been updated,
/// and a my_range() function to set custom Option's min-max values, then you just
/// remove the 'const' qualifiers and write somewhere below in the file:
///
/// TUNE(SetRange(my_range), myScore, myValue, my_post_update);
///
/// You can also set the range directly, and restore the default at the end
///
/// TUNE(SetRange(-100, 100), myScore, SetDefaultRange);
///
/// In case update function is slow and you have many parameters, you can add:
///
/// UPDATE_ON_LAST();
///
/// And the values update, including post update function call, will be done only
/// once, after the engine receives the last UCI option, that is the one defined
/// and created as the last one, so the GUI should send the options in the same
/// order in which have been defined.
class Tune {
using PostUpdate = void(); // Post-update function
typedef void (PostUpdate) (); // Post-update function
Tune() { read_results(); }
Tune(const Tune&) = delete;
void operator=(const Tune&) = delete;
void read_results();
Tune() { read_results(); }
Tune(const Tune&) = delete;
void operator=(const Tune&) = delete;
void read_results();
static Tune& instance() {
static Tune t;
return t;
} // Singleton
static Tune& instance() { static Tune t; return t; } // Singleton
// Use polymorphism to accommodate Entry of different types in the same vector
struct EntryBase {
virtual ~EntryBase() = default;
virtual void init_option() = 0;
virtual void read_option() = 0;
};
// Use polymorphism to accomodate Entry of different types in the same vector
struct EntryBase {
virtual ~EntryBase() = default;
virtual void init_option() = 0;
virtual void read_option() = 0;
};
template<typename T>
struct Entry: public EntryBase {
template<typename T>
struct Entry : public EntryBase {
static_assert(!std::is_const_v<T>, "Parameter cannot be const!");
static_assert(!std::is_const<T>::value, "Parameter cannot be const!");
static_assert(std::is_same_v<T, int> || std::is_same_v<T, PostUpdate>,
"Parameter type not supported!");
static_assert( std::is_same<T, int>::value
|| std::is_same<T, Value>::value
|| std::is_same<T, Score>::value
|| std::is_same<T, PostUpdate>::value, "Parameter type not supported!");
Entry(const std::string& n, T& v, const SetRange& r) :
name(n),
value(v),
range(r) {}
void operator=(const Entry&) = delete; // Because 'value' is a reference
void init_option() override;
void read_option() override;
Entry(const std::string& n, T& v, const SetRange& r) : name(n), value(v), range(r) {}
void operator=(const Entry&) = delete; // Because 'value' is a reference
void init_option() override;
void read_option() override;
std::string name;
T& value;
SetRange range;
};
std::string name;
T& value;
SetRange range;
};
// Our facility to fill the container, each Entry corresponds to a parameter
// to tune. We use variadic templates to deal with an unspecified number of
// entries, each one of a possible different type.
static std::string next(std::string& names, bool pop = true);
// Our 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.
static std::string next(std::string& names, bool pop = true);
int add(const SetRange&, std::string&&) { return 0; }
int add(const SetRange&, std::string&&) { return 0; }
template<typename T, typename... Args>
int add(const SetRange& range, std::string&& names, T& value, Args&&... args) {
list.push_back(std::unique_ptr<EntryBase>(new Entry<T>(next(names), value, range)));
return add(range, std::move(names), args...);
}
template<typename T, typename... Args>
int add(const SetRange& range, std::string&& names, T& value, Args&&... args) {
list.push_back(std::unique_ptr<EntryBase>(new Entry<T>(next(names), value, range)));
return add(range, std::move(names), args...);
}
// Template specialization for arrays: recursively handle multi-dimensional arrays
template<typename T, size_t N, typename... Args>
int add(const SetRange& range, std::string&& names, T (&value)[N], Args&&... args) {
for (size_t i = 0; i < N; i++)
add(range, next(names, i == N - 1) + "[" + std::to_string(i) + "]", value[i]);
return add(range, std::move(names), args...);
}
// Template specialization for arrays: recursively handle multi-dimensional arrays
template<typename T, size_t N, typename... Args>
int add(const SetRange& range, std::string&& names, T (&value)[N], Args&&... args) {
for (size_t i = 0; i < N; i++)
add(range, next(names, i == N - 1) + "[" + std::to_string(i) + "]", value[i]);
return add(range, std::move(names), args...);
}
// Template specialization for SetRange
template<typename... Args>
int add(const SetRange&, std::string&& names, SetRange& value, Args&&... args) {
return add(value, (next(names), std::move(names)), args...);
}
// Template specialization for SetRange
template<typename... Args>
int add(const SetRange&, std::string&& names, SetRange& value, Args&&... args) {
return add(value, (next(names), std::move(names)), args...);
}
std::vector<std::unique_ptr<EntryBase>> list;
// 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...);
}
public:
template<typename... Args>
static int add(const std::string& names, Args&&... args) {
return instance().add(SetDefaultRange, names.substr(1, names.size() - 2),
args...); // Remove trailing parenthesis
}
static void init(OptionsMap& o) {
options = &o;
for (auto& e : instance().list)
e->init_option();
read_options();
} // Deferred, due to UCI::Options access
static void read_options() {
for (auto& e : instance().list)
e->read_option();
}
std::vector<std::unique_ptr<EntryBase>> list;
static bool update_on_last;
static OptionsMap* options;
public:
template<typename... Args>
static int add(const std::string& names, Args&&... args) {
return instance().add(SetDefaultRange, names.substr(1, names.size() - 2), args...); // Remove trailing parenthesis
}
static void init() { for (auto& e : instance().list) e->init_option(); read_options(); } // Deferred, due to UCI::Options access
static void read_options() { for (auto& e : instance().list) e->read_option(); }
static bool update_on_last;
};
// Some macro magic :-) we define a dummy int variable that the compiler initializes calling Tune::add()
// Some macro magic :-) we define a dummy int variable that compiler initializes calling Tune::add()
#define STRINGIFY(x) #x
#define UNIQUE2(x, y) x##y
#define UNIQUE(x, y) UNIQUE2(x, y) // Two indirection levels to expand __LINE__
#define UNIQUE2(x, y) x ## y
#define UNIQUE(x, y) UNIQUE2(x, y) // Two indirection levels to expand __LINE__
#define TUNE(...) int UNIQUE(p, __LINE__) = Tune::add(STRINGIFY((__VA_ARGS__)), __VA_ARGS__)
#define UPDATE_ON_LAST() bool UNIQUE(p, __LINE__) = Tune::update_on_last = true
} // namespace Stockfish
// 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)
#endif // #ifndef TUNE_H_INCLUDED
#endif // #ifndef TUNE_H_INCLUDED
+455 -286
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -17,395 +17,564 @@
*/
#ifndef TYPES_H_INCLUDED
#define TYPES_H_INCLUDED
#define TYPES_H_INCLUDED
// When compiling with provided Makefile (e.g. for Linux and OSX), configuration
// is done automatically. To get started type 'make help'.
//
// When Makefile is not used (e.g. with Microsoft Visual Studio) some switches
// need to be set manually:
//
// -DNDEBUG | Disable debugging mode. Always use this for release.
//
// -DNO_PREFETCH | Disable use of prefetch asm-instruction. You may need this to
// | run on some very old machines.
//
// -DUSE_POPCNT | Add runtime support for use of popcnt asm-instruction. Works
// | only in 64-bit mode and requires hardware with popcnt support.
//
// -DUSE_PEXT | Add runtime support for use of pext asm-instruction. Works
// | only in 64-bit mode and requires hardware with pext support.
/// When compiling with provided Makefile (e.g. for Linux and OSX), configuration
/// is done automatically. To get started type 'make help'.
///
/// When Makefile is not used (e.g. with Microsoft Visual Studio) some switches
/// need to be set manually:
///
/// -DNDEBUG | Disable debugging mode. Always use this for release.
///
/// -DNO_PREFETCH | Disable use of prefetch asm-instruction. You may need this to
/// | run on some very old machines.
///
/// -DUSE_POPCNT | Add runtime support for use of popcnt asm-instruction. Works
/// | only in 64-bit mode and requires hardware with popcnt support.
///
/// -DUSE_PEXT | Add runtime support for use of pext asm-instruction. Works
/// | only in 64-bit mode and requires hardware with pext support.
#include <cassert>
#include <cstdint>
#include <cassert>
#include <cctype>
#include <cstdint>
#include <cstdlib>
#include <algorithm>
#if defined(_MSC_VER)
// Disable some silly and noisy warnings from MSVC compiler
#pragma warning(disable: 4127) // Conditional expression is constant
#pragma warning(disable: 4146) // Unary minus operator applied to unsigned type
#pragma warning(disable: 4800) // Forcing value to bool 'true' or 'false'
#endif
#if defined(_MSC_VER)
// Disable some silly and noisy warning from MSVC compiler
#pragma warning(disable: 4127) // Conditional expression is constant
#pragma warning(disable: 4146) // Unary minus operator applied to unsigned type
#pragma warning(disable: 4800) // Forcing value to bool 'true' or 'false'
#endif
// Predefined macros hell:
//
// __GNUC__ Compiler is GCC, Clang or ICX
// __clang__ Compiler is Clang or ICX
// __INTEL_LLVM_COMPILER Compiler is ICX
// _MSC_VER Compiler is MSVC
// _WIN32 Building on Windows (any)
// _WIN64 Building on Windows 64 bit
/// Predefined macros hell:
///
/// __GNUC__ Compiler is gcc, Clang or Intel on Linux
/// __INTEL_COMPILER Compiler is Intel
/// _MSC_VER Compiler is MSVC or Intel on Windows
/// _WIN32 Building on Windows (any)
/// _WIN64 Building on Windows 64 bit
#if defined(__GNUC__) && (__GNUC__ < 9 || (__GNUC__ == 9 && __GNUC_MINOR__ <= 2)) \
&& defined(_WIN32) && !defined(__clang__)
#define ALIGNAS_ON_STACK_VARIABLES_BROKEN
#endif
#if defined(_WIN64) && defined(_MSC_VER) // No Makefile used
# include <intrin.h> // Microsoft header for _BitScanForward64()
# define IS_64BIT
#endif
#define ASSERT_ALIGNED(ptr, alignment) assert(reinterpret_cast<uintptr_t>(ptr) % alignment == 0)
#if defined(USE_POPCNT) && (defined(__INTEL_COMPILER) || defined(_MSC_VER))
# include <nmmintrin.h> // Intel and Microsoft header for _mm_popcnt_u64()
#endif
#if defined(_WIN64) && defined(_MSC_VER) // No Makefile used
#include <intrin.h> // Microsoft header for _BitScanForward64()
#define IS_64BIT
#endif
#if !defined(NO_PREFETCH) && (defined(__INTEL_COMPILER) || defined(_MSC_VER))
# include <xmmintrin.h> // Intel and Microsoft header for _mm_prefetch()
#endif
#if defined(USE_POPCNT) && defined(_MSC_VER)
#include <nmmintrin.h> // Microsoft header for _mm_popcnt_u64()
#endif
#if defined(USE_PEXT)
# include <immintrin.h> // Header for _pext_u64() intrinsic
# define pext(b, m) _pext_u64(b, m)
#else
# define pext(b, m) 0
#endif
#if !defined(NO_PREFETCH) && defined(_MSC_VER)
#include <xmmintrin.h> // Microsoft header for _mm_prefetch()
#endif
#if defined(USE_PEXT)
#include <immintrin.h> // Header for _pext_u64() intrinsic
#define pext(b, m) _pext_u64(b, m)
#else
#define pext(b, m) 0
#endif
namespace Stockfish {
#ifdef USE_POPCNT
#ifdef USE_POPCNT
constexpr bool HasPopCnt = true;
#else
#else
constexpr bool HasPopCnt = false;
#endif
#endif
#ifdef USE_PEXT
#ifdef USE_PEXT
constexpr bool HasPext = true;
#else
#else
constexpr bool HasPext = false;
#endif
#endif
#ifdef IS_64BIT
#ifdef IS_64BIT
constexpr bool Is64Bit = true;
#else
#else
constexpr bool Is64Bit = false;
#endif
#endif
using Key = uint64_t;
using Bitboard = uint64_t;
typedef uint64_t Key;
typedef uint64_t Bitboard;
constexpr int MAX_MOVES = 256;
constexpr int MAX_PLY = 246;
/// A move needs 16 bits to be stored
///
/// bit 0- 5: destination square (from 0 to 63)
/// bit 6-11: origin square (from 0 to 63)
/// bit 12-13: promotion piece type - 2 (from KNIGHT-2 to QUEEN-2)
/// bit 14-15: special move flag: promotion (1), en passant (2), castling (3)
/// NOTE: EN-PASSANT bit is set only when a pawn can be captured
///
/// Special cases are MOVE_NONE and MOVE_NULL. We can sneak these in because in
/// any normal move destination square is always different from origin square
/// while MOVE_NONE and MOVE_NULL have the same origin and destination square.
enum Move : int {
MOVE_NONE,
MOVE_NULL = 65
};
enum MoveType {
NORMAL,
PROMOTION = 1 << 14,
ENPASSANT = 2 << 14,
CASTLING = 3 << 14
};
enum Color {
WHITE,
BLACK,
COLOR_NB = 2
WHITE, BLACK, COLOR_NB = 2
};
enum CastlingRights {
NO_CASTLING,
WHITE_OO,
WHITE_OOO = WHITE_OO << 1,
BLACK_OO = WHITE_OO << 2,
BLACK_OOO = WHITE_OO << 3,
NO_CASTLING,
WHITE_OO,
WHITE_OOO = WHITE_OO << 1,
BLACK_OO = WHITE_OO << 2,
BLACK_OOO = WHITE_OO << 3,
KING_SIDE = WHITE_OO | BLACK_OO,
QUEEN_SIDE = WHITE_OOO | BLACK_OOO,
WHITE_CASTLING = WHITE_OO | WHITE_OOO,
BLACK_CASTLING = BLACK_OO | BLACK_OOO,
ANY_CASTLING = WHITE_CASTLING | BLACK_CASTLING,
KING_SIDE = WHITE_OO | BLACK_OO,
QUEEN_SIDE = WHITE_OOO | BLACK_OOO,
WHITE_CASTLING = WHITE_OO | WHITE_OOO,
BLACK_CASTLING = BLACK_OO | BLACK_OOO,
ANY_CASTLING = WHITE_CASTLING | BLACK_CASTLING,
CASTLING_RIGHT_NB = 16
CASTLING_RIGHT_NB = 16
};
enum Phase {
PHASE_ENDGAME,
PHASE_MIDGAME = 128,
MG = 0, EG = 1, PHASE_NB = 2
};
enum ScaleFactor {
SCALE_FACTOR_DRAW = 0,
SCALE_FACTOR_NORMAL = 64,
SCALE_FACTOR_MAX = 128,
SCALE_FACTOR_NONE = 255
};
enum Bound {
BOUND_NONE,
BOUND_UPPER,
BOUND_LOWER,
BOUND_EXACT = BOUND_UPPER | BOUND_LOWER
BOUND_NONE,
BOUND_UPPER,
BOUND_LOWER,
BOUND_EXACT = BOUND_UPPER | BOUND_LOWER
};
// Value is used as an alias for int16_t, this is done to differentiate between
// a search value and any other integer value. The values used in search are always
// supposed to be in the range (-VALUE_NONE, VALUE_NONE] and should not exceed this range.
using Value = int;
enum Value : int {
VALUE_ZERO = 0,
VALUE_DRAW = 0,
VALUE_KNOWN_WIN = 10000,
VALUE_MATE = 32000,
VALUE_INFINITE = 32001,
VALUE_NONE = 32002,
constexpr Value VALUE_ZERO = 0;
constexpr Value VALUE_DRAW = 0;
constexpr Value VALUE_NONE = 32002;
constexpr Value VALUE_INFINITE = 32001;
VALUE_TB_WIN_IN_MAX_PLY = VALUE_MATE - 2 * MAX_PLY,
VALUE_TB_LOSS_IN_MAX_PLY = -VALUE_TB_WIN_IN_MAX_PLY,
VALUE_MATE_IN_MAX_PLY = VALUE_MATE - MAX_PLY,
VALUE_MATED_IN_MAX_PLY = -VALUE_MATE_IN_MAX_PLY,
constexpr Value VALUE_MATE = 32000;
constexpr Value VALUE_MATE_IN_MAX_PLY = VALUE_MATE - MAX_PLY;
constexpr Value VALUE_MATED_IN_MAX_PLY = -VALUE_MATE_IN_MAX_PLY;
PawnValueMg = 124, PawnValueEg = 206,
KnightValueMg = 781, KnightValueEg = 854,
BishopValueMg = 825, BishopValueEg = 915,
RookValueMg = 1276, RookValueEg = 1380,
QueenValueMg = 2538, QueenValueEg = 2682,
Tempo = 28,
constexpr Value VALUE_TB = VALUE_MATE_IN_MAX_PLY - 1;
constexpr Value VALUE_TB_WIN_IN_MAX_PLY = VALUE_TB - MAX_PLY;
constexpr Value VALUE_TB_LOSS_IN_MAX_PLY = -VALUE_TB_WIN_IN_MAX_PLY;
MidgameLimit = 15258, EndgameLimit = 3915
};
// In the code, we make the assumption that these values
// are such that non_pawn_material() can be used to uniquely
// identify the material on the board.
constexpr Value PawnValue = 208;
constexpr Value KnightValue = 781;
constexpr Value BishopValue = 825;
constexpr Value RookValue = 1276;
constexpr Value QueenValue = 2538;
// clang-format off
enum PieceType {
NO_PIECE_TYPE, PAWN, KNIGHT, BISHOP, ROOK, QUEEN, KING,
ALL_PIECES = 0,
PIECE_TYPE_NB = 8
NO_PIECE_TYPE, PAWN, KNIGHT, BISHOP, ROOK, QUEEN, KING,
ALL_PIECES = 0,
PIECE_TYPE_NB = 8
};
enum Piece {
NO_PIECE,
W_PAWN = PAWN, W_KNIGHT, W_BISHOP, W_ROOK, W_QUEEN, W_KING,
B_PAWN = PAWN + 8, B_KNIGHT, B_BISHOP, B_ROOK, B_QUEEN, B_KING,
PIECE_NB = 16
NO_PIECE,
W_PAWN = 1, W_KNIGHT, W_BISHOP, W_ROOK, W_QUEEN, W_KING,
B_PAWN = 9, B_KNIGHT, B_BISHOP, B_ROOK, B_QUEEN, B_KING,
PIECE_NB = 16
};
// clang-format on
constexpr Value PieceValue[PIECE_NB] = {
VALUE_ZERO, PawnValue, KnightValue, BishopValue, RookValue, QueenValue, VALUE_ZERO, VALUE_ZERO,
VALUE_ZERO, PawnValue, KnightValue, BishopValue, RookValue, QueenValue, VALUE_ZERO, VALUE_ZERO};
// An ID used to track the pieces. Max. 32 pieces on board.
enum PieceId {
PIECE_ID_ZERO = 0,
PIECE_ID_KING = 30,
PIECE_ID_WKING = 30,
PIECE_ID_BKING = 31,
PIECE_ID_NONE = 32
};
using Depth = int;
inline PieceId operator++(PieceId& d, int) {
PieceId x = d;
d = PieceId(int(d) + 1);
return x;
}
constexpr Value PieceValue[PHASE_NB][PIECE_NB] = {
{ VALUE_ZERO, PawnValueMg, KnightValueMg, BishopValueMg, RookValueMg, QueenValueMg, VALUE_ZERO, VALUE_ZERO,
VALUE_ZERO, PawnValueMg, KnightValueMg, BishopValueMg, RookValueMg, QueenValueMg, VALUE_ZERO, VALUE_ZERO },
{ VALUE_ZERO, PawnValueEg, KnightValueEg, BishopValueEg, RookValueEg, QueenValueEg, VALUE_ZERO, VALUE_ZERO,
VALUE_ZERO, PawnValueEg, KnightValueEg, BishopValueEg, RookValueEg, QueenValueEg, VALUE_ZERO, VALUE_ZERO }
};
typedef int Depth;
enum : int {
DEPTH_QS_CHECKS = 0,
DEPTH_QS_NO_CHECKS = -1,
DEPTH_QS_CHECKS = 0,
DEPTH_QS_NO_CHECKS = -1,
DEPTH_QS_RECAPTURES = -5,
DEPTH_NONE = -6,
DEPTH_OFFSET = -7 // value used only for TT entry occupancy check
DEPTH_NONE = -6,
DEPTH_OFFSET = DEPTH_NONE
};
// clang-format off
enum Square : int {
SQ_A1, SQ_B1, SQ_C1, SQ_D1, SQ_E1, SQ_F1, SQ_G1, SQ_H1,
SQ_A2, SQ_B2, SQ_C2, SQ_D2, SQ_E2, SQ_F2, SQ_G2, SQ_H2,
SQ_A3, SQ_B3, SQ_C3, SQ_D3, SQ_E3, SQ_F3, SQ_G3, SQ_H3,
SQ_A4, SQ_B4, SQ_C4, SQ_D4, SQ_E4, SQ_F4, SQ_G4, SQ_H4,
SQ_A5, SQ_B5, SQ_C5, SQ_D5, SQ_E5, SQ_F5, SQ_G5, SQ_H5,
SQ_A6, SQ_B6, SQ_C6, SQ_D6, SQ_E6, SQ_F6, SQ_G6, SQ_H6,
SQ_A7, SQ_B7, SQ_C7, SQ_D7, SQ_E7, SQ_F7, SQ_G7, SQ_H7,
SQ_A8, SQ_B8, SQ_C8, SQ_D8, SQ_E8, SQ_F8, SQ_G8, SQ_H8,
SQ_NONE,
SQ_A1, SQ_B1, SQ_C1, SQ_D1, SQ_E1, SQ_F1, SQ_G1, SQ_H1,
SQ_A2, SQ_B2, SQ_C2, SQ_D2, SQ_E2, SQ_F2, SQ_G2, SQ_H2,
SQ_A3, SQ_B3, SQ_C3, SQ_D3, SQ_E3, SQ_F3, SQ_G3, SQ_H3,
SQ_A4, SQ_B4, SQ_C4, SQ_D4, SQ_E4, SQ_F4, SQ_G4, SQ_H4,
SQ_A5, SQ_B5, SQ_C5, SQ_D5, SQ_E5, SQ_F5, SQ_G5, SQ_H5,
SQ_A6, SQ_B6, SQ_C6, SQ_D6, SQ_E6, SQ_F6, SQ_G6, SQ_H6,
SQ_A7, SQ_B7, SQ_C7, SQ_D7, SQ_E7, SQ_F7, SQ_G7, SQ_H7,
SQ_A8, SQ_B8, SQ_C8, SQ_D8, SQ_E8, SQ_F8, SQ_G8, SQ_H8,
SQ_NONE,
SQUARE_ZERO = 0,
SQUARE_NB = 64
SQUARE_ZERO = 0,
SQUARE_NB = 64
};
// clang-format on
enum Direction : int {
NORTH = 8,
EAST = 1,
SOUTH = -NORTH,
WEST = -EAST,
NORTH = 8,
EAST = 1,
SOUTH = -NORTH,
WEST = -EAST,
NORTH_EAST = NORTH + EAST,
SOUTH_EAST = SOUTH + EAST,
SOUTH_WEST = SOUTH + WEST,
NORTH_WEST = NORTH + WEST
NORTH_EAST = NORTH + EAST,
SOUTH_EAST = SOUTH + EAST,
SOUTH_WEST = SOUTH + WEST,
NORTH_WEST = NORTH + WEST
};
enum File : int {
FILE_A,
FILE_B,
FILE_C,
FILE_D,
FILE_E,
FILE_F,
FILE_G,
FILE_H,
FILE_NB
FILE_A, FILE_B, FILE_C, FILE_D, FILE_E, FILE_F, FILE_G, FILE_H, FILE_NB
};
enum Rank : int {
RANK_1,
RANK_2,
RANK_3,
RANK_4,
RANK_5,
RANK_6,
RANK_7,
RANK_8,
RANK_NB
RANK_1, RANK_2, RANK_3, RANK_4, RANK_5, RANK_6, RANK_7, RANK_8, RANK_NB
};
// Keep track of what a move changes on the board (used by NNUE)
// unique number for each piece type on each square
enum PieceSquare : uint32_t {
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
};
struct ExtPieceSquare {
PieceSquare from[COLOR_NB];
};
// Array for finding the PieceSquare corresponding to the piece on the board
extern ExtPieceSquare kpp_board_index[PIECE_NB];
constexpr bool is_ok(PieceId pid);
constexpr Square rotate180(Square sq);
// Structure holding which tracked piece (PieceId) is where (PieceSquare)
class EvalList {
public:
// Max. number of pieces without kings is 30 but must be a multiple of 4 in AVX2
static const int MAX_LENGTH = 32;
// Array that holds the piece id for the pieces on the board
PieceId piece_id_list[SQUARE_NB];
// List of pieces, separate from White and Black POV
PieceSquare* piece_list_fw() const { return const_cast<PieceSquare*>(pieceListFw); }
PieceSquare* piece_list_fb() const { return const_cast<PieceSquare*>(pieceListFb); }
// Place the piece pc with piece_id on the square sq on the board
void put_piece(PieceId piece_id, Square sq, Piece pc)
{
assert(is_ok(piece_id));
if (pc != NO_PIECE)
{
pieceListFw[piece_id] = PieceSquare(kpp_board_index[pc].from[WHITE] + sq);
pieceListFb[piece_id] = PieceSquare(kpp_board_index[pc].from[BLACK] + rotate180(sq));
piece_id_list[sq] = piece_id;
}
else
{
pieceListFw[piece_id] = PS_NONE;
pieceListFb[piece_id] = PS_NONE;
piece_id_list[sq] = piece_id;
}
}
// Convert the specified piece_id piece to ExtPieceSquare type and return it
ExtPieceSquare piece_with_id(PieceId piece_id) const
{
ExtPieceSquare eps;
eps.from[WHITE] = pieceListFw[piece_id];
eps.from[BLACK] = pieceListFb[piece_id];
return eps;
}
private:
PieceSquare pieceListFw[MAX_LENGTH];
PieceSquare pieceListFb[MAX_LENGTH];
};
// For differential evaluation of pieces that changed since last turn
struct DirtyPiece {
// Number of changed pieces
int dirty_num;
// Number of changed pieces
int dirty_num;
// Max 3 pieces can change in one move. A promotion with capture moves
// both the pawn and the captured piece to SQ_NONE and the piece promoted
// to from SQ_NONE to the capture square.
Piece piece[3];
// The ids of changed pieces, max. 2 pieces can change in one move
PieceId pieceId[2];
// From and to squares, which may be SQ_NONE
Square from[3];
Square to[3];
// What changed from the piece with that piece number
ExtPieceSquare old_piece[2];
ExtPieceSquare new_piece[2];
};
#define ENABLE_INCR_OPERATORS_ON(T) \
inline T& operator++(T& d) { return d = T(int(d) + 1); } \
inline T& operator--(T& d) { return d = T(int(d) - 1); }
/// Score enum stores a middlegame and an endgame value in a single integer (enum).
/// The least significant 16 bits are used to store the middlegame value and the
/// upper 16 bits are used to store the endgame value. We have to take care to
/// avoid left-shifting a signed int to avoid undefined behavior.
enum Score : int { SCORE_ZERO };
constexpr Score make_score(int mg, int eg) {
return Score((int)((unsigned int)eg << 16) + mg);
}
/// Extracting the signed lower and upper 16 bits is not so trivial because
/// according to the standard a simple cast to short is implementation defined
/// and so is a right shift of a signed integer.
inline Value eg_value(Score s) {
union { uint16_t u; int16_t s; } eg = { uint16_t(unsigned(s + 0x8000) >> 16) };
return Value(eg.s);
}
inline Value mg_value(Score s) {
union { uint16_t u; int16_t s; } mg = { uint16_t(unsigned(s)) };
return Value(mg.s);
}
#define ENABLE_BASE_OPERATORS_ON(T) \
constexpr T operator+(T d1, int d2) { return T(int(d1) + d2); } \
constexpr T operator-(T d1, int d2) { return T(int(d1) - d2); } \
constexpr T operator-(T d) { return T(-int(d)); } \
inline T& operator+=(T& d1, int d2) { return d1 = d1 + d2; } \
inline T& operator-=(T& d1, int d2) { return d1 = d1 - d2; }
#define ENABLE_INCR_OPERATORS_ON(T) \
inline T& operator++(T& d) { return d = T(int(d) + 1); } \
inline T& operator--(T& d) { return d = T(int(d) - 1); }
#define ENABLE_FULL_OPERATORS_ON(T) \
ENABLE_BASE_OPERATORS_ON(T) \
constexpr T operator*(int i, T d) { return T(i * int(d)); } \
constexpr T operator*(T d, int i) { return T(int(d) * i); } \
constexpr T operator/(T d, int i) { return T(int(d) / i); } \
constexpr int operator/(T d1, T d2) { return int(d1) / int(d2); } \
inline T& operator*=(T& d, int i) { return d = T(int(d) * i); } \
inline T& operator/=(T& d, int i) { return d = T(int(d) / i); }
ENABLE_FULL_OPERATORS_ON(Value)
ENABLE_FULL_OPERATORS_ON(Direction)
ENABLE_INCR_OPERATORS_ON(Piece)
ENABLE_INCR_OPERATORS_ON(PieceSquare)
ENABLE_INCR_OPERATORS_ON(PieceId)
ENABLE_INCR_OPERATORS_ON(PieceType)
ENABLE_INCR_OPERATORS_ON(Square)
ENABLE_INCR_OPERATORS_ON(File)
ENABLE_INCR_OPERATORS_ON(Rank)
#undef ENABLE_INCR_OPERATORS_ON
ENABLE_BASE_OPERATORS_ON(Score)
constexpr Direction operator+(Direction d1, Direction d2) { return Direction(int(d1) + int(d2)); }
constexpr Direction operator*(int i, Direction d) { return Direction(i * int(d)); }
#undef ENABLE_FULL_OPERATORS_ON
#undef ENABLE_INCR_OPERATORS_ON
#undef ENABLE_BASE_OPERATORS_ON
// Additional operators to add a Direction to a Square
/// Additional operators to add a Direction to a Square
constexpr Square operator+(Square s, Direction d) { return Square(int(s) + int(d)); }
constexpr Square operator-(Square s, Direction d) { return Square(int(s) - int(d)); }
inline Square& operator+=(Square& s, Direction d) { return s = s + d; }
inline Square& operator-=(Square& s, Direction d) { return s = s - d; }
inline Square& operator+=(Square& s, Direction d) { return s = s + d; }
inline Square& operator-=(Square& s, Direction d) { return s = s - d; }
// Toggle color
constexpr Color operator~(Color c) { return Color(c ^ BLACK); }
/// Only declared but not defined. We don't want to multiply two scores due to
/// a very high risk of overflow. So user should explicitly convert to integer.
Score operator*(Score, Score) = delete;
// Swap A1 <-> A8
constexpr Square flip_rank(Square s) { return Square(s ^ SQ_A8); }
/// Division of a Score must be handled separately for each term
inline Score operator/(Score s, int i) {
return make_score(mg_value(s) / i, eg_value(s) / i);
}
// Swap A1 <-> H1
constexpr Square flip_file(Square s) { return Square(s ^ SQ_H1); }
/// Multiplication of a Score by an integer. We check for overflow in debug mode.
inline Score operator*(Score s, int i) {
// Swap color of piece B_KNIGHT <-> W_KNIGHT
constexpr Piece operator~(Piece pc) { return Piece(pc ^ 8); }
Score result = Score(int(s) * i);
assert(eg_value(result) == (i * eg_value(s)));
assert(mg_value(result) == (i * mg_value(s)));
assert((i == 0) || (result / i) == s);
return result;
}
/// Multiplication of a Score by a boolean
inline Score operator*(Score s, bool b) {
return b ? s : SCORE_ZERO;
}
constexpr Color operator~(Color c) {
return Color(c ^ BLACK); // Toggle color
}
constexpr Square flip_rank(Square s) { // Swap A1 <-> A8
return Square(s ^ SQ_A8);
}
constexpr Square flip_file(Square s) { // Swap A1 <-> H1
return Square(s ^ SQ_H1);
}
constexpr Piece operator~(Piece pc) {
return Piece(pc ^ 8); // Swap color of piece B_KNIGHT <-> W_KNIGHT
}
constexpr CastlingRights operator&(Color c, CastlingRights cr) {
return CastlingRights((c == WHITE ? WHITE_CASTLING : BLACK_CASTLING) & cr);
return CastlingRights((c == WHITE ? WHITE_CASTLING : BLACK_CASTLING) & cr);
}
constexpr Value mate_in(int ply) { return VALUE_MATE - ply; }
constexpr Value mate_in(int ply) {
return VALUE_MATE - ply;
}
constexpr Value mated_in(int ply) { return -VALUE_MATE + ply; }
constexpr Value mated_in(int ply) {
return -VALUE_MATE + ply;
}
constexpr Square make_square(File f, Rank r) { return Square((r << 3) + f); }
constexpr Square make_square(File f, Rank r) {
return Square((r << 3) + f);
}
constexpr Piece make_piece(Color c, PieceType pt) { return Piece((c << 3) + pt); }
constexpr Piece make_piece(Color c, PieceType pt) {
return Piece((c << 3) + pt);
}
constexpr PieceType type_of(Piece pc) { return PieceType(pc & 7); }
constexpr PieceType type_of(Piece pc) {
return PieceType(pc & 7);
}
inline Color color_of(Piece pc) {
assert(pc != NO_PIECE);
return Color(pc >> 3);
assert(pc != NO_PIECE);
return Color(pc >> 3);
}
constexpr bool is_ok(Square s) { return s >= SQ_A1 && s <= SQ_H8; }
constexpr bool is_ok(PieceId pid) {
return pid < PIECE_ID_NONE;
}
constexpr File file_of(Square s) { return File(s & 7); }
constexpr bool is_ok(Square s) {
return s >= SQ_A1 && s <= SQ_H8;
}
constexpr Rank rank_of(Square s) { return Rank(s >> 3); }
constexpr File file_of(Square s) {
return File(s & 7);
}
constexpr Square relative_square(Color c, Square s) { return Square(s ^ (c * 56)); }
constexpr Rank rank_of(Square s) {
return Rank(s >> 3);
}
constexpr Rank relative_rank(Color c, Rank r) { return Rank(r ^ (c * 7)); }
constexpr Square relative_square(Color c, Square s) {
return Square(s ^ (c * 56));
}
constexpr Rank relative_rank(Color c, Square s) { return relative_rank(c, rank_of(s)); }
constexpr Rank relative_rank(Color c, Rank r) {
return Rank(r ^ (c * 7));
}
constexpr Direction pawn_push(Color c) { return c == WHITE ? NORTH : SOUTH; }
constexpr Rank relative_rank(Color c, Square s) {
return relative_rank(c, rank_of(s));
}
constexpr Direction pawn_push(Color c) {
return c == WHITE ? NORTH : SOUTH;
}
// Based on a congruential pseudo-random number generator
constexpr Square from_sq(Move m) {
return Square((m >> 6) & 0x3F);
}
constexpr Square to_sq(Move m) {
return Square(m & 0x3F);
}
// Return relative square when turning the board 180 degrees
constexpr Square rotate180(Square sq) {
return (Square)(sq ^ 0x3F);
}
constexpr int from_to(Move m) {
return m & 0xFFF;
}
constexpr MoveType type_of(Move m) {
return MoveType(m & (3 << 14));
}
constexpr PieceType promotion_type(Move m) {
return PieceType(((m >> 12) & 3) + KNIGHT);
}
constexpr Move make_move(Square from, Square to) {
return Move((from << 6) + to);
}
constexpr Move reverse_move(Move m) {
return make_move(to_sq(m), from_sq(m));
}
template<MoveType T>
constexpr Move make(Square from, Square to, PieceType pt = KNIGHT) {
return Move(T + ((pt - KNIGHT) << 12) + (from << 6) + to);
}
constexpr bool is_ok(Move m) {
return from_sq(m) != to_sq(m); // Catch MOVE_NULL and MOVE_NONE
}
/// Based on a congruential pseudo random number generator
constexpr Key make_key(uint64_t seed) {
return seed * 6364136223846793005ULL + 1442695040888963407ULL;
return seed * 6364136223846793005ULL + 1442695040888963407ULL;
}
#endif // #ifndef TYPES_H_INCLUDED
enum MoveType {
NORMAL,
PROMOTION = 1 << 14,
EN_PASSANT = 2 << 14,
CASTLING = 3 << 14
};
// A move needs 16 bits to be stored
//
// bit 0- 5: destination square (from 0 to 63)
// bit 6-11: origin square (from 0 to 63)
// bit 12-13: promotion piece type - 2 (from KNIGHT-2 to QUEEN-2)
// bit 14-15: special move flag: promotion (1), en passant (2), castling (3)
// NOTE: en passant bit is set only when a pawn can be captured
//
// Special cases are Move::none() and Move::null(). We can sneak these in because in
// any normal move destination square is always different from origin square
// while Move::none() and Move::null() have the same origin and destination square.
class Move {
public:
Move() = default;
constexpr explicit Move(std::uint16_t d) :
data(d) {}
constexpr Move(Square from, Square to) :
data((from << 6) + to) {}
template<MoveType T>
static constexpr Move make(Square from, Square to, PieceType pt = KNIGHT) {
return Move(T + ((pt - KNIGHT) << 12) + (from << 6) + to);
}
constexpr Square from_sq() const {
assert(is_ok());
return Square((data >> 6) & 0x3F);
}
constexpr Square to_sq() const {
assert(is_ok());
return Square(data & 0x3F);
}
constexpr int from_to() const { return data & 0xFFF; }
constexpr MoveType type_of() const { return MoveType(data & (3 << 14)); }
constexpr PieceType promotion_type() const { return PieceType(((data >> 12) & 3) + KNIGHT); }
constexpr bool is_ok() const { return none().data != data && null().data != data; }
static constexpr Move null() { return Move(65); }
static constexpr Move none() { return Move(0); }
constexpr bool operator==(const Move& m) const { return data == m.data; }
constexpr bool operator!=(const Move& m) const { return data != m.data; }
constexpr explicit operator bool() const { return data != 0; }
constexpr std::uint16_t raw() const { return data; }
struct MoveHash {
std::size_t operator()(const Move& m) const { return make_key(m.data); }
};
protected:
std::uint16_t data;
};
} // namespace Stockfish
#endif // #ifndef TYPES_H_INCLUDED
#include "tune.h" // Global visibility to tuning setup
#include "tune.h" // Global visibility to tuning setup
+294 -342
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -16,296 +16,48 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "uci.h"
#include <algorithm>
#include <cassert>
#include <cctype>
#include <cmath>
#include <cstdlib>
#include <deque>
#include <memory>
#include <optional>
#include <iostream>
#include <sstream>
#include <vector>
#include <cstdint>
#include <string>
#include "benchmark.h"
#include "evaluate.h"
#include "movegen.h"
#include "nnue/evaluate_nnue.h"
#include "nnue/nnue_architecture.h"
#include "position.h"
#include "search.h"
#include "thread.h"
#include "timeman.h"
#include "tt.h"
#include "uci.h"
#include "syzygy/tbprobe.h"
#include "types.h"
#include "ucioption.h"
#include "perft.h"
namespace Stockfish {
using namespace std;
constexpr auto StartFEN = "rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR w KQkq - 0 1";
constexpr int NormalizeToPawnValue = 356;
constexpr int MaxHashMB = Is64Bit ? 33554432 : 2048;
extern vector<string> setup_bench(const Position&, istream&);
UCI::UCI(int argc, char** argv) :
cli(argc, argv) {
namespace {
evalFiles = {{Eval::NNUE::Big, {"EvalFile", EvalFileDefaultNameBig, "None", ""}},
{Eval::NNUE::Small, {"EvalFileSmall", EvalFileDefaultNameSmall, "None", ""}}};
// FEN string of the initial position, normal chess
const char* StartFEN = "rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR w KQkq - 0 1";
options["Debug Log File"] << Option("", [](const Option& o) { start_logger(o); });
// position() is called when engine receives the "position" UCI command.
// The function sets up the position described in the given FEN string ("fen")
// or the starting position ("startpos") and then makes the moves given in the
// following move list ("moves").
options["Threads"] << Option(1, 1, 1024, [this](const Option&) {
threads.set({options, threads, tt});
});
void position(Position& pos, istringstream& is, StateListPtr& states) {
options["Hash"] << Option(16, 1, MaxHashMB, [this](const Option& o) {
threads.main_thread()->wait_for_search_finished();
tt.resize(o, options["Threads"]);
});
options["Clear Hash"] << Option([this](const Option&) { search_clear(); });
options["Ponder"] << Option(false);
options["MultiPV"] << Option(1, 1, MAX_MOVES);
options["Skill Level"] << Option(20, 0, 20);
options["Move Overhead"] << Option(10, 0, 5000);
options["nodestime"] << Option(0, 0, 10000);
options["UCI_Chess960"] << Option(false);
options["UCI_LimitStrength"] << Option(false);
options["UCI_Elo"] << Option(1320, 1320, 3190);
options["UCI_ShowWDL"] << Option(false);
options["SyzygyPath"] << Option("<empty>", [](const Option& o) { Tablebases::init(o); });
options["SyzygyProbeDepth"] << Option(1, 1, 100);
options["Syzygy50MoveRule"] << Option(true);
options["SyzygyProbeLimit"] << Option(7, 0, 7);
options["EvalFile"] << Option(EvalFileDefaultNameBig, [this](const Option&) {
evalFiles = Eval::NNUE::load_networks(cli.binaryDirectory, options, evalFiles);
});
options["EvalFileSmall"] << Option(EvalFileDefaultNameSmall, [this](const Option&) {
evalFiles = Eval::NNUE::load_networks(cli.binaryDirectory, options, evalFiles);
});
threads.set({options, threads, tt});
search_clear(); // After threads are up
}
void UCI::loop() {
Position pos;
std::string token, cmd;
StateListPtr states(new std::deque<StateInfo>(1));
pos.set(StartFEN, false, &states->back());
for (int i = 1; i < cli.argc; ++i)
cmd += std::string(cli.argv[i]) + " ";
do
{
if (cli.argc == 1
&& !getline(std::cin, cmd)) // Wait for an input or an end-of-file (EOF) indication
cmd = "quit";
std::istringstream is(cmd);
token.clear(); // Avoid a stale if getline() returns nothing or a blank line
is >> std::skipws >> token;
if (token == "quit" || token == "stop")
threads.stop = true;
// The GUI sends 'ponderhit' to tell that the user has played the expected move.
// So, 'ponderhit' is sent if pondering was done on the same move that the user
// has played. The search should continue, but should also switch from pondering
// to the normal search.
else if (token == "ponderhit")
threads.main_manager()->ponder = false; // Switch to the normal search
else if (token == "uci")
sync_cout << "id name " << engine_info(true) << "\n"
<< options << "\nuciok" << sync_endl;
else if (token == "setoption")
setoption(is);
else if (token == "go")
go(pos, is, states);
else if (token == "position")
position(pos, is, states);
else if (token == "ucinewgame")
search_clear();
else if (token == "isready")
sync_cout << "readyok" << sync_endl;
// Add custom non-UCI commands, mainly for debugging purposes.
// These commands must not be used during a search!
else if (token == "flip")
pos.flip();
else if (token == "bench")
bench(pos, is, states);
else if (token == "d")
sync_cout << pos << sync_endl;
else if (token == "eval")
trace_eval(pos);
else if (token == "compiler")
sync_cout << compiler_info() << sync_endl;
else if (token == "export_net")
{
std::optional<std::string> filename;
std::string f;
if (is >> std::skipws >> f)
filename = f;
Eval::NNUE::save_eval(filename, Eval::NNUE::Big, evalFiles);
}
else if (token == "--help" || token == "help" || token == "--license" || token == "license")
sync_cout
<< "\nStockfish is a powerful chess engine for playing and analyzing."
"\nIt is released as free software licensed under the GNU GPLv3 License."
"\nStockfish is normally used with a graphical user interface (GUI) and implements"
"\nthe Universal Chess Interface (UCI) protocol to communicate with a GUI, an API, etc."
"\nFor any further information, visit https://github.com/official-stockfish/Stockfish#readme"
"\nor read the corresponding README.md and Copying.txt files distributed along with this program.\n"
<< sync_endl;
else if (!token.empty() && token[0] != '#')
sync_cout << "Unknown command: '" << cmd << "'. Type help for more information."
<< sync_endl;
} while (token != "quit" && cli.argc == 1); // The command-line arguments are one-shot
}
void UCI::go(Position& pos, std::istringstream& is, StateListPtr& states) {
Search::LimitsType limits;
std::string token;
bool ponderMode = false;
limits.startTime = now(); // The search starts as early as possible
while (is >> token)
if (token == "searchmoves") // Needs to be the last command on the line
while (is >> token)
limits.searchmoves.push_back(to_move(pos, token));
else if (token == "wtime")
is >> limits.time[WHITE];
else if (token == "btime")
is >> limits.time[BLACK];
else if (token == "winc")
is >> limits.inc[WHITE];
else if (token == "binc")
is >> limits.inc[BLACK];
else if (token == "movestogo")
is >> limits.movestogo;
else if (token == "depth")
is >> limits.depth;
else if (token == "nodes")
is >> limits.nodes;
else if (token == "movetime")
is >> limits.movetime;
else if (token == "mate")
is >> limits.mate;
else if (token == "perft")
is >> limits.perft;
else if (token == "infinite")
limits.infinite = 1;
else if (token == "ponder")
ponderMode = true;
Eval::NNUE::verify(options, evalFiles);
if (limits.perft)
{
perft(pos.fen(), limits.perft, options["UCI_Chess960"]);
return;
}
threads.start_thinking(options, pos, states, limits, ponderMode);
}
void UCI::bench(Position& pos, std::istream& args, StateListPtr& states) {
std::string token;
uint64_t num, nodes = 0, cnt = 1;
std::vector<std::string> list = setup_bench(pos, args);
num = count_if(list.begin(), list.end(),
[](const std::string& s) { return s.find("go ") == 0 || s.find("eval") == 0; });
TimePoint elapsed = now();
for (const auto& cmd : list)
{
std::istringstream is(cmd);
is >> std::skipws >> token;
if (token == "go" || token == "eval")
{
std::cerr << "\nPosition: " << cnt++ << '/' << num << " (" << pos.fen() << ")"
<< std::endl;
if (token == "go")
{
go(pos, is, states);
threads.main_thread()->wait_for_search_finished();
nodes += threads.nodes_searched();
}
else
trace_eval(pos);
}
else if (token == "setoption")
setoption(is);
else if (token == "position")
position(pos, is, states);
else if (token == "ucinewgame")
{
search_clear(); // Search::clear() may take a while
elapsed = now();
}
}
elapsed = now() - elapsed + 1; // Ensure positivity to avoid a 'divide by zero'
dbg_print();
std::cerr << "\n==========================="
<< "\nTotal time (ms) : " << elapsed << "\nNodes searched : " << nodes
<< "\nNodes/second : " << 1000 * nodes / elapsed << std::endl;
}
void UCI::trace_eval(Position& pos) {
StateListPtr states(new std::deque<StateInfo>(1));
Position p;
p.set(pos.fen(), options["UCI_Chess960"], &states->back());
Eval::NNUE::verify(options, evalFiles);
sync_cout << "\n" << Eval::trace(p) << sync_endl;
}
void UCI::search_clear() {
threads.main_thread()->wait_for_search_finished();
tt.clear(options["Threads"]);
threads.clear();
Tablebases::init(options["SyzygyPath"]); // Free mapped files
}
void UCI::setoption(std::istringstream& is) {
threads.main_thread()->wait_for_search_finished();
options.setoption(is);
}
void UCI::position(Position& pos, std::istringstream& is, StateListPtr& states) {
Move m;
std::string token, fen;
Move m;
string token, fen;
is >> token;
if (token == "startpos")
{
fen = StartFEN;
is >> token; // Consume the "moves" token, if any
is >> token; // Consume "moves" token if any
}
else if (token == "fen")
while (is >> token && token != "moves")
@@ -313,107 +65,307 @@ void UCI::position(Position& pos, std::istringstream& is, StateListPtr& states)
else
return;
states = StateListPtr(new std::deque<StateInfo>(1)); // Drop the old state and create a new one
pos.set(fen, options["UCI_Chess960"], &states->back());
states = StateListPtr(new std::deque<StateInfo>(1)); // Drop old and create a new one
pos.set(fen, Options["UCI_Chess960"], &states->back(), Threads.main());
// Parse the move list, if any
while (is >> token && (m = to_move(pos, token)) != Move::none())
// Parse move list (if any)
while (is >> token && (m = UCI::to_move(pos, token)) != MOVE_NONE)
{
states->emplace_back();
pos.do_move(m, states->back());
}
}
}
int UCI::to_cp(Value v) { return 100 * v / NormalizeToPawnValue; }
// trace_eval() prints the evaluation for the current position, consistent with the UCI
// options set so far.
std::string UCI::value(Value v) {
assert(-VALUE_INFINITE < v && v < VALUE_INFINITE);
void trace_eval(Position& pos) {
std::stringstream ss;
StateListPtr states(new std::deque<StateInfo>(1));
Position p;
p.set(pos.fen(), Options["UCI_Chess960"], &states->back(), Threads.main());
if (std::abs(v) < VALUE_TB_WIN_IN_MAX_PLY)
ss << "cp " << to_cp(v);
else if (std::abs(v) <= VALUE_TB)
{
const int ply = VALUE_TB - std::abs(v); // recompute ss->ply
ss << "cp " << (v > 0 ? 20000 - ply : -20000 + ply);
}
Eval::verify_NNUE();
sync_cout << "\n" << Eval::trace(p) << sync_endl;
}
// setoption() is called when engine receives the "setoption" UCI command. The
// function updates the UCI option ("name") to the given value ("value").
void setoption(istringstream& is) {
string token, name, value;
is >> token; // Consume "name" token
// Read option name (can contain spaces)
while (is >> token && token != "value")
name += (name.empty() ? "" : " ") + token;
// Read option value (can contain spaces)
while (is >> token)
value += (value.empty() ? "" : " ") + token;
if (Options.count(name))
Options[name] = value;
else
ss << "mate " << (v > 0 ? VALUE_MATE - v + 1 : -VALUE_MATE - v) / 2;
sync_cout << "No such option: " << name << sync_endl;
}
return ss.str();
// go() is called when engine receives the "go" UCI command. The function sets
// the thinking time and other parameters from the input string, then starts
// the search.
void go(Position& pos, istringstream& is, StateListPtr& states) {
Search::LimitsType limits;
string token;
bool ponderMode = false;
limits.startTime = now(); // As early as possible!
while (is >> token)
if (token == "searchmoves") // Needs to be the last command on the line
while (is >> token)
limits.searchmoves.push_back(UCI::to_move(pos, token));
else if (token == "wtime") is >> limits.time[WHITE];
else if (token == "btime") is >> limits.time[BLACK];
else if (token == "winc") is >> limits.inc[WHITE];
else if (token == "binc") is >> limits.inc[BLACK];
else if (token == "movestogo") is >> limits.movestogo;
else if (token == "depth") is >> limits.depth;
else if (token == "nodes") is >> limits.nodes;
else if (token == "movetime") is >> limits.movetime;
else if (token == "mate") is >> limits.mate;
else if (token == "perft") is >> limits.perft;
else if (token == "infinite") limits.infinite = 1;
else if (token == "ponder") ponderMode = true;
Threads.start_thinking(pos, states, limits, ponderMode);
}
// bench() is called when engine receives the "bench" command. Firstly
// a list of UCI commands is setup according to bench parameters, then
// it is run one by one printing a summary at the end.
void bench(Position& pos, istream& args, StateListPtr& states) {
string token;
uint64_t num, nodes = 0, cnt = 1;
vector<string> list = setup_bench(pos, args);
num = count_if(list.begin(), list.end(), [](string s) { return s.find("go ") == 0 || s.find("eval") == 0; });
TimePoint elapsed = now();
for (const auto& cmd : list)
{
istringstream is(cmd);
is >> skipws >> token;
if (token == "go" || token == "eval")
{
cerr << "\nPosition: " << cnt++ << '/' << num << endl;
if (token == "go")
{
go(pos, is, states);
Threads.main()->wait_for_search_finished();
nodes += Threads.nodes_searched();
}
else
trace_eval(pos);
}
else if (token == "setoption") setoption(is);
else if (token == "position") position(pos, is, states);
else if (token == "ucinewgame") { Search::clear(); elapsed = now(); } // Search::clear() may take some while
}
elapsed = now() - elapsed + 1; // Ensure positivity to avoid a 'divide by zero'
dbg_print(); // Just before exiting
cerr << "\n==========================="
<< "\nTotal time (ms) : " << elapsed
<< "\nNodes searched : " << nodes
<< "\nNodes/second : " << 1000 * nodes / elapsed << endl;
}
// The win rate model returns the probability (per mille) of winning given an eval
// and a game-ply. The model fits rather accurately the LTC fishtest statistics.
int win_rate_model(Value v, int ply) {
// The model captures only up to 240 plies, so limit input (and rescale)
double m = std::min(240, ply) / 64.0;
// 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 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 = Utility::clamp(double(100 * v) / PawnValueEg, -1000.0, 1000.0);
// Return win rate in per mille (rounded to nearest)
return int(0.5 + 1000 / (1 + std::exp((a - x) / b)));
}
} // namespace
/// UCI::loop() waits for a command from stdin, parses it and calls the appropriate
/// function. Also intercepts EOF from stdin to ensure gracefully exiting if the
/// GUI dies unexpectedly. When called with some command line arguments, e.g. to
/// run 'bench', once the command is executed the function returns immediately.
/// In addition to the UCI ones, also some additional debug commands are supported.
void UCI::loop(int argc, char* argv[]) {
Position pos;
string token, cmd;
StateListPtr states(new std::deque<StateInfo>(1));
pos.set(StartFEN, false, &states->back(), Threads.main());
for (int i = 1; i < argc; ++i)
cmd += std::string(argv[i]) + " ";
do {
if (argc == 1 && !getline(cin, cmd)) // Block here waiting for input or EOF
cmd = "quit";
istringstream is(cmd);
token.clear(); // Avoid a stale if getline() returns empty or blank line
is >> skipws >> token;
if ( token == "quit"
|| token == "stop")
Threads.stop = true;
// The GUI sends 'ponderhit' to tell us the user has played the expected move.
// So 'ponderhit' will be sent if we were told to ponder on the same move the
// user has played. We should continue searching but switch from pondering to
// normal search.
else if (token == "ponderhit")
Threads.main()->ponder = false; // Switch to normal search
else if (token == "uci")
sync_cout << "id name " << engine_info(true)
<< "\n" << Options
<< "\nuciok" << sync_endl;
else if (token == "setoption") setoption(is);
else if (token == "go") go(pos, is, states);
else if (token == "position") position(pos, is, states);
else if (token == "ucinewgame") Search::clear();
else if (token == "isready") sync_cout << "readyok" << sync_endl;
// Additional custom non-UCI commands, mainly for debugging.
// Do not use these commands during a search!
else if (token == "flip") pos.flip();
else if (token == "bench") bench(pos, is, states);
else if (token == "d") sync_cout << pos << sync_endl;
else if (token == "eval") trace_eval(pos);
else if (token == "compiler") sync_cout << compiler_info() << sync_endl;
else
sync_cout << "Unknown command: " << cmd << sync_endl;
} while (token != "quit" && argc == 1); // Command line args are one-shot
}
/// UCI::value() converts a Value to a string suitable for use with the UCI
/// protocol specification:
///
/// cp <x> The score from the engine's point of view in centipawns.
/// mate <y> Mate in y moves, not plies. If the engine is getting mated
/// use negative values for y.
string UCI::value(Value v) {
assert(-VALUE_INFINITE < v && v < VALUE_INFINITE);
stringstream ss;
if (abs(v) < VALUE_MATE_IN_MAX_PLY)
ss << "cp " << v * 100 / PawnValueEg;
else
ss << "mate " << (v > 0 ? VALUE_MATE - v + 1 : -VALUE_MATE - v) / 2;
return ss.str();
}
/// UCI::wdl() report WDL statistics given an evaluation and a game ply, based on
/// data gathered for fishtest LTC games.
string UCI::wdl(Value v, int ply) {
stringstream ss;
int wdl_w = win_rate_model( v, ply);
int wdl_l = win_rate_model(-v, ply);
int wdl_d = 1000 - wdl_w - wdl_l;
ss << " wdl " << wdl_w << " " << wdl_d << " " << wdl_l;
return ss.str();
}
/// UCI::square() converts a Square to a string in algebraic notation (g1, a7, etc.)
std::string UCI::square(Square s) {
return std::string{char('a' + file_of(s)), char('1' + rank_of(s))};
return std::string{ char('a' + file_of(s)), char('1' + rank_of(s)) };
}
std::string UCI::move(Move m, bool chess960) {
if (m == Move::none())
return "(none)";
if (m == Move::null())
return "0000";
/// UCI::move() converts a Move to a string in coordinate notation (g1f3, a7a8q).
/// The only special case is castling, where we print in the e1g1 notation in
/// normal chess mode, and in e1h1 notation in chess960 mode. Internally all
/// castling moves are always encoded as 'king captures rook'.
Square from = m.from_sq();
Square to = m.to_sq();
string UCI::move(Move m, bool chess960) {
if (m.type_of() == CASTLING && !chess960)
to = make_square(to > from ? FILE_G : FILE_C, rank_of(from));
Square from = from_sq(m);
Square to = to_sq(m);
std::string move = square(from) + square(to);
if (m == MOVE_NONE)
return "(none)";
if (m.type_of() == PROMOTION)
move += " pnbrqk"[m.promotion_type()];
if (m == MOVE_NULL)
return "0000";
return move;
if (type_of(m) == CASTLING && !chess960)
to = make_square(to > from ? FILE_G : FILE_C, rank_of(from));
string move = UCI::square(from) + UCI::square(to);
if (type_of(m) == PROMOTION)
move += " pnbrqk"[promotion_type(m)];
return move;
}
namespace {
// The win rate model returns the probability of winning (in per mille units) given an
// eval and a game ply. It fits the LTC fishtest statistics rather accurately.
int win_rate_model(Value v, int ply) {
// The fitted model only uses data for moves in [8, 120], and is anchored at move 32.
double m = std::clamp(ply / 2 + 1, 8, 120) / 32.0;
/// UCI::to_move() converts a string representing a move in coordinate notation
/// (g1f3, a7a8q) to the corresponding legal Move, if any.
// The coefficients of a third-order polynomial fit is based on the fishtest data
// for two parameters that need to transform eval to the argument of a logistic
// function.
constexpr double as[] = {-1.06249702, 7.42016937, 0.89425629, 348.60356174};
constexpr double bs[] = {-5.33122190, 39.57831533, -90.84473771, 123.40620748};
Move UCI::to_move(const Position& pos, string& str) {
// Enforce that NormalizeToPawnValue corresponds to a 50% win rate at move 32.
static_assert(NormalizeToPawnValue == int(0.5 + as[0] + as[1] + as[2] + as[3]));
if (str.length() == 5) // Junior could send promotion piece in uppercase
str[4] = char(tolower(str[4]));
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];
for (const auto& m : MoveList<LEGAL>(pos))
if (str == UCI::move(m, pos.is_chess960()))
return m;
// Return the win rate in per mille units, rounded to the nearest integer.
return int(0.5 + 1000 / (1 + std::exp((a - double(v)) / b)));
return MOVE_NONE;
}
}
std::string UCI::wdl(Value v, int ply) {
std::stringstream ss;
int wdl_w = win_rate_model(v, ply);
int wdl_l = win_rate_model(-v, ply);
int wdl_d = 1000 - wdl_w - wdl_l;
ss << " wdl " << wdl_w << " " << wdl_d << " " << wdl_l;
return ss.str();
}
Move UCI::to_move(const Position& pos, std::string& str) {
if (str.length() == 5)
str[4] = char(tolower(str[4])); // The promotion piece character must be lowercased
for (const auto& m : MoveList<LEGAL>(pos))
if (str == move(m, pos.is_chess960()))
return m;
return Move::none();
}
} // namespace Stockfish
+52 -48
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -19,59 +19,63 @@
#ifndef UCI_H_INCLUDED
#define UCI_H_INCLUDED
#include <iostream>
#include <map>
#include <string>
#include <unordered_map>
#include "evaluate.h"
#include "misc.h"
#include "position.h"
#include "thread.h"
#include "tt.h"
#include "ucioption.h"
#include "types.h"
namespace Stockfish {
class Position;
namespace Eval::NNUE {
enum NetSize : int;
}
namespace UCI {
class Move;
enum Square : int;
using Value = int;
class Option;
class UCI {
public:
UCI(int argc, char** argv);
void loop();
static int to_cp(Value v);
static std::string value(Value v);
static std::string square(Square s);
static std::string move(Move m, bool chess960);
static std::string wdl(Value v, int ply);
static Move to_move(const Position& pos, std::string& str);
const std::string& workingDirectory() const { return cli.workingDirectory; }
OptionsMap options;
std::unordered_map<Eval::NNUE::NetSize, Eval::EvalFile> evalFiles;
private:
TranspositionTable tt;
ThreadPool threads;
CommandLine cli;
void go(Position& pos, std::istringstream& is, StateListPtr& states);
void bench(Position& pos, std::istream& args, StateListPtr& states);
void position(Position& pos, std::istringstream& is, StateListPtr& states);
void trace_eval(Position& pos);
void search_clear();
void setoption(std::istringstream& is);
/// Custom comparator because UCI options should be case insensitive
struct CaseInsensitiveLess {
bool operator() (const std::string&, const std::string&) const;
};
} // namespace Stockfish
/// Our options container is actually a std::map
typedef std::map<std::string, Option, CaseInsensitiveLess> OptionsMap;
#endif // #ifndef UCI_H_INCLUDED
/// Option class implements an option as defined by UCI protocol
class Option {
typedef void (*OnChange)(const Option&);
public:
Option(OnChange = nullptr);
Option(bool v, OnChange = nullptr);
Option(const char* v, OnChange = nullptr);
Option(double v, int minv, int maxv, OnChange = nullptr);
Option(const char* v, const char* cur, OnChange = nullptr);
Option& operator=(const std::string&);
void operator<<(const Option&);
operator double() const;
operator std::string() const;
bool operator==(const char*) const;
private:
friend std::ostream& operator<<(std::ostream&, const OptionsMap&);
std::string defaultValue, currentValue, type;
int min, max;
size_t idx;
OnChange on_change;
};
void init(OptionsMap&);
void loop(int argc, char* argv[]);
std::string value(Value v);
std::string square(Square s);
std::string move(Move m, bool chess960);
std::string pv(const Position& pos, Depth depth, Value alpha, Value beta);
std::string wdl(Value v, int ply);
Move to_move(const Position& pos, std::string& str);
} // namespace UCI
extern UCI::OptionsMap Options;
#endif // #ifndef UCI_H_INCLUDED
+125 -119
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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
@@ -16,170 +16,176 @@
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "ucioption.h"
#include <algorithm>
#include <cassert>
#include <cctype>
#include <iostream>
#include <ostream>
#include <sstream>
#include <utility>
#include "misc.h"
#include "search.h"
#include "thread.h"
#include "tt.h"
#include "uci.h"
#include "syzygy/tbprobe.h"
namespace Stockfish {
using std::string;
bool CaseInsensitiveLess::operator()(const std::string& s1, const std::string& s2) const {
UCI::OptionsMap Options; // Global object
return std::lexicographical_compare(
s1.begin(), s1.end(), s2.begin(), s2.end(),
[](char c1, char c2) { return std::tolower(c1) < std::tolower(c2); });
namespace UCI {
/// 'On change' actions, triggered by an option's value change
void on_clear_hash(const Option&) { Search::clear(); }
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(); }
/// Our case insensitive less() function as required by UCI protocol
bool CaseInsensitiveLess::operator() (const string& s1, const string& s2) const {
return std::lexicographical_compare(s1.begin(), s1.end(), s2.begin(), s2.end(),
[](char c1, char c2) { return tolower(c1) < tolower(c2); });
}
void OptionsMap::setoption(std::istringstream& is) {
std::string token, name, value;
is >> token; // Consume the "name" token
/// UCI::init() initializes the UCI options to their hard-coded default values
// Read the option name (can contain spaces)
while (is >> token && token != "value")
name += (name.empty() ? "" : " ") + token;
void init(OptionsMap& o) {
// Read the option value (can contain spaces)
while (is >> token)
value += (value.empty() ? "" : " ") + token;
constexpr int MaxHashMB = Is64Bit ? 33554432 : 2048;
if (options_map.count(name))
options_map[name] = value;
else
sync_cout << "No such option: " << name << sync_endl;
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);
o["Ponder"] << Option(false);
o["MultiPV"] << Option(1, 1, 500);
o["Skill Level"] << Option(20, 0, 20);
o["Move Overhead"] << Option(10, 0, 5000);
o["Slow Mover"] << Option(100, 10, 1000);
o["nodestime"] << Option(0, 0, 10000);
o["UCI_Chess960"] << Option(false);
o["UCI_AnalyseMode"] << Option(false);
o["UCI_LimitStrength"] << Option(false);
o["UCI_Elo"] << Option(1350, 1350, 2850);
o["UCI_ShowWDL"] << Option(false);
o["SyzygyPath"] << Option("<empty>", on_tb_path);
o["SyzygyProbeDepth"] << Option(1, 1, 100);
o["Syzygy50MoveRule"] << Option(true);
o["SyzygyProbeLimit"] << Option(7, 0, 7);
o["Use NNUE"] << Option(false, on_use_NNUE);
o["EvalFile"] << Option("nn-97f742aaefcd.nnue", on_eval_file);
}
Option OptionsMap::operator[](const std::string& name) const {
auto it = options_map.find(name);
return it != options_map.end() ? it->second : Option();
/// operator<<() is used to print all the options default values in chronological
/// insertion order (the idx field) and in the format defined by the UCI protocol.
std::ostream& operator<<(std::ostream& os, const OptionsMap& om) {
for (size_t idx = 0; idx < om.size(); ++idx)
for (const auto& it : om)
if (it.second.idx == idx)
{
const Option& o = it.second;
os << "\noption name " << it.first << " type " << o.type;
if (o.type == "string" || o.type == "check" || o.type == "combo")
os << " default " << o.defaultValue;
if (o.type == "spin")
os << " default " << int(stof(o.defaultValue))
<< " min " << o.min
<< " max " << o.max;
break;
}
return os;
}
Option& OptionsMap::operator[](const std::string& name) { return options_map[name]; }
std::size_t OptionsMap::count(const std::string& name) const { return options_map.count(name); }
/// Option class constructors and conversion operators
Option::Option(const char* v, OnChange f) :
type("string"),
min(0),
max(0),
on_change(std::move(f)) {
defaultValue = currentValue = v;
}
Option::Option(const char* v, OnChange f) : type("string"), min(0), max(0), on_change(f)
{ defaultValue = currentValue = v; }
Option::Option(bool v, OnChange f) :
type("check"),
min(0),
max(0),
on_change(std::move(f)) {
defaultValue = currentValue = (v ? "true" : "false");
}
Option::Option(bool v, OnChange f) : type("check"), min(0), max(0), on_change(f)
{ defaultValue = currentValue = (v ? "true" : "false"); }
Option::Option(OnChange f) :
type("button"),
min(0),
max(0),
on_change(std::move(f)) {}
Option::Option(OnChange f) : type("button"), min(0), max(0), on_change(f)
{}
Option::Option(double v, int minv, int maxv, OnChange f) :
type("spin"),
min(minv),
max(maxv),
on_change(std::move(f)) {
defaultValue = currentValue = std::to_string(v);
}
Option::Option(double v, int minv, int maxv, OnChange f) : type("spin"), min(minv), max(maxv), on_change(f)
{ defaultValue = currentValue = std::to_string(v); }
Option::Option(const char* v, const char* cur, OnChange f) :
type("combo"),
min(0),
max(0),
on_change(std::move(f)) {
defaultValue = v;
currentValue = cur;
}
Option::Option(const char* v, const char* cur, OnChange f) : type("combo"), min(0), max(0), on_change(f)
{ defaultValue = v; currentValue = cur; }
Option::operator int() const {
assert(type == "check" || type == "spin");
return (type == "spin" ? std::stoi(currentValue) : currentValue == "true");
Option::operator double() const {
assert(type == "check" || type == "spin");
return (type == "spin" ? stof(currentValue) : currentValue == "true");
}
Option::operator std::string() const {
assert(type == "string");
return currentValue;
assert(type == "string");
return currentValue;
}
bool Option::operator==(const char* s) const {
assert(type == "combo");
return !CaseInsensitiveLess()(currentValue, s) && !CaseInsensitiveLess()(s, currentValue);
assert(type == "combo");
return !CaseInsensitiveLess()(currentValue, s)
&& !CaseInsensitiveLess()(s, currentValue);
}
// Inits options and assigns idx in the correct printing order
/// operator<<() inits options and assigns idx in the correct printing order
void Option::operator<<(const Option& o) {
static size_t insert_order = 0;
static size_t insert_order = 0;
*this = o;
idx = insert_order++;
*this = o;
idx = insert_order++;
}
// Updates currentValue and triggers on_change() action. It's up to
// the GUI to check for option's limits, but we could receive the new value
// from the user by console window, so let's check the bounds anyway.
Option& Option::operator=(const std::string& v) {
/// operator=() updates currentValue and triggers on_change() action. It's up to
/// the GUI to check for option's limits, but we could receive the new value
/// from the user by console window, so let's check the bounds anyway.
assert(!type.empty());
Option& Option::operator=(const string& v) {
if ((type != "button" && type != "string" && v.empty())
|| (type == "check" && v != "true" && v != "false")
|| (type == "spin" && (std::stof(v) < min || std::stof(v) > max)))
return *this;
assert(!type.empty());
if (type == "combo")
{
OptionsMap comboMap; // To have case insensitive compare
std::string token;
std::istringstream ss(defaultValue);
while (ss >> token)
comboMap[token] << Option();
if (!comboMap.count(v) || v == "var")
return *this;
}
if ( (type != "button" && v.empty())
|| (type == "check" && v != "true" && v != "false")
|| (type == "spin" && (stof(v) < min || stof(v) > max)))
return *this;
if (type != "button")
currentValue = v;
if (type == "combo")
{
OptionsMap comboMap; // To have case insensitive compare
string token;
std::istringstream ss(defaultValue);
while (ss >> token)
comboMap[token] << Option();
if (!comboMap.count(v) || v == "var")
return *this;
}
if (on_change)
on_change(*this);
if (type != "button")
currentValue = v;
return *this;
if (on_change)
on_change(*this);
return *this;
}
std::ostream& operator<<(std::ostream& os, const OptionsMap& om) {
for (size_t idx = 0; idx < om.options_map.size(); ++idx)
for (const auto& it : om.options_map)
if (it.second.idx == idx)
{
const Option& o = it.second;
os << "\noption name " << it.first << " type " << o.type;
if (o.type == "string" || o.type == "check" || o.type == "combo")
os << " default " << o.defaultValue;
if (o.type == "spin")
os << " default " << int(stof(o.defaultValue)) << " min " << o.min << " max "
<< o.max;
break;
}
return os;
}
}
} // namespace UCI
-81
View File
@@ -1,81 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Stockfish is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef UCIOPTION_H_INCLUDED
#define UCIOPTION_H_INCLUDED
#include <cstddef>
#include <functional>
#include <iosfwd>
#include <map>
#include <string>
namespace Stockfish {
// Define a custom comparator, because the UCI options should be case-insensitive
struct CaseInsensitiveLess {
bool operator()(const std::string&, const std::string&) const;
};
class Option;
class OptionsMap {
public:
void setoption(std::istringstream&);
friend std::ostream& operator<<(std::ostream&, const OptionsMap&);
Option operator[](const std::string&) const;
Option& operator[](const std::string&);
std::size_t count(const std::string&) const;
private:
// The options container is defined as a std::map
using OptionsStore = std::map<std::string, Option, CaseInsensitiveLess>;
OptionsStore options_map;
};
// The Option class implements each option as specified by the UCI protocol
class Option {
public:
using OnChange = std::function<void(const Option&)>;
Option(OnChange = nullptr);
Option(bool v, OnChange = nullptr);
Option(const char* v, OnChange = nullptr);
Option(double v, int minv, int maxv, OnChange = nullptr);
Option(const char* v, const char* cur, OnChange = nullptr);
Option& operator=(const std::string&);
void operator<<(const Option&);
operator int() const;
operator std::string() const;
bool operator==(const char*) const;
friend std::ostream& operator<<(std::ostream&, const OptionsMap&);
private:
std::string defaultValue, currentValue, type;
int min, max;
size_t idx;
OnChange on_change;
};
}
#endif // #ifndef UCIOPTION_H_INCLUDED
+19 -73
View File
@@ -1,5 +1,5 @@
#!/bin/bash
# check for errors under Valgrind or sanitizers.
# check for errors under valgrind or sanitizers.
error()
{
@@ -13,14 +13,14 @@ case $1 in
--valgrind)
echo "valgrind testing started"
prefix=''
exeprefix='valgrind --error-exitcode=42 --errors-for-leak-kinds=all --leak-check=full'
exeprefix='valgrind --error-exitcode=42'
postfix='1>/dev/null'
threads="1"
;;
--valgrind-thread)
echo "valgrind-thread testing started"
prefix=''
exeprefix='valgrind --fair-sched=try --error-exitcode=42'
exeprefix='valgrind --error-exitcode=42'
postfix='1>/dev/null'
threads="2"
;;
@@ -39,16 +39,16 @@ case $1 in
threads="2"
cat << EOF > tsan.supp
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:TTEntry::move
race:TTEntry::depth
race:TTEntry::bound
race:TTEntry::save
race:TTEntry::value
race:TTEntry::eval
race:TTEntry::is_pv
race:Stockfish::TranspositionTable::probe
race:Stockfish::TranspositionTable::hashfull
race:TranspositionTable::probe
race:TranspositionTable::hashfull
EOF
@@ -64,32 +64,13 @@ EOF
;;
esac
cat << EOF > bench_tmp.epd
Rn6/1rbq1bk1/2p2n1p/2Bp1p2/3Pp1pP/1N2P1P1/2Q1NPB1/6K1 w - - 2 26
rnbqkb1r/ppp1pp2/5n1p/3p2p1/P2PP3/5P2/1PP3PP/RNBQKBNR w KQkq - 0 3
3qnrk1/4bp1p/1p2p1pP/p2bN3/1P1P1B2/P2BQ3/5PP1/4R1K1 w - - 9 28
r4rk1/1b2ppbp/pq4pn/2pp1PB1/1p2P3/1P1P1NN1/1PP3PP/R2Q1RK1 w - - 0 13
EOF
# simple command line testing
for args in "eval" \
"go nodes 1000" \
"go depth 10" \
"go perft 4" \
"go movetime 1000" \
"go wtime 8000 btime 8000 winc 500 binc 500" \
"go wtime 1000 btime 1000 winc 0 binc 0" \
"go wtime 1000 btime 1000 winc 0 binc 0" \
"go wtime 1000 btime 1000 winc 0 binc 0 movestogo 5" \
"go movetime 200" \
"go nodes 20000 searchmoves e2e4 d2d4" \
"bench 128 $threads 8 default depth" \
"bench 128 $threads 3 bench_tmp.epd depth" \
"export_net verify.nnue" \
"d" \
"compiler" \
"license" \
"uci"
"bench 128 $threads 10 default depth"
do
echo "$prefix $exeprefix ./stockfish $args $postfix"
@@ -97,20 +78,14 @@ do
done
# verify the generated net equals the base net
network=`./stockfish uci | grep 'option name EvalFile type string default' | awk '{print $NF}'`
echo "Comparing $network to the written verify.nnue"
diff $network verify.nnue
# more general testing, following an uci protocol exchange
cat << EOF > game.exp
set timeout 240
set timeout 10
spawn $exeprefix ./stockfish
send "uci\n"
expect "uciok"
# send "setoption name Debug Log File value debug.log\n"
send "setoption name Threads value $threads\n"
send "ucinewgame\n"
@@ -123,35 +98,13 @@ cat << EOF > game.exp
expect "bestmove"
send "position fen 5rk1/1K4p1/8/8/3B4/8/8/8 b - - 0 1\n"
send "go depth 10\n"
send "go depth 30\n"
expect "bestmove"
send "setoption name UCI_ShowWDL value true\n"
send "position startpos\n"
send "flip\n"
send "go depth 5\n"
expect "bestmove"
send "setoption name Skill Level value 10\n"
send "position startpos\n"
send "go depth 5\n"
expect "bestmove"
send "setoption name Clear Hash\n"
send "setoption name EvalFile value verify.nnue\n"
send "position startpos\n"
send "go depth 5\n"
expect "bestmove"
send "setoption name MultiPV value 4\n"
send "position startpos\n"
send "go depth 5\n"
send "quit\n"
expect eof
# return error code of the spawned program, useful for Valgrind
# return error code of the spawned program, useful for valgrind
lassign [wait] pid spawnid os_error_flag value
exit \$value
EOF
@@ -168,18 +121,11 @@ cat << EOF > syzygy.exp
send "uci\n"
send "setoption name SyzygyPath value ../tests/syzygy/\n"
expect "info string Found 35 tablebases" {} timeout {exit 1}
send "bench 128 1 8 default depth\n"
send "ucinewgame\n"
send "position fen 4k3/PP6/8/8/8/8/8/4K3 w - - 0 1\n"
send "go depth 5\n"
expect "bestmove"
send "position fen 8/1P6/2B5/8/4K3/8/6k1/8 w - - 0 1\n"
send "go depth 5\n"
expect "bestmove"
send "bench 128 1 10 default depth\n"
send "quit\n"
expect eof
# return error code of the spawned program, useful for Valgrind
# return error code of the spawned program, useful for valgrind
lassign [wait] pid spawnid os_error_flag value
exit \$value
EOF
@@ -194,6 +140,6 @@ do
done
rm -f tsan.supp bench_tmp.epd
rm -f tsan.supp
echo "instrumented testing OK"
+2 -2
View File
@@ -10,7 +10,7 @@ trap 'error ${LINENO}' ERR
echo "reprosearch testing started"
# repeat two short games, separated by ucinewgame.
# repeat two short games, separated by ucinewgame.
# with go nodes $nodes they should result in exactly
# the same node count for each iteration.
cat << EOF > repeat.exp
@@ -43,7 +43,7 @@ cat << EOF > repeat.exp
expect eof
EOF
# to increase the likelihood of finding a non-reproducible case,
# to increase the likelyhood of finding a non-reproducible case,
# the allowed number of nodes are varied systematically
for i in `seq 1 20`
do
+1 -1
View File
@@ -11,7 +11,7 @@ trap 'error ${LINENO}' ERR
# obtain
signature=`eval "$WINE_PATH ./stockfish bench 2>&1" | grep "Nodes searched : " | awk '{print $4}'`
signature=`./stockfish bench 2>&1 | grep "Nodes searched : " | awk '{print $4}'`
if [ $# -gt 0 ]; then
# compare to given reference