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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
69 changed files with 3466 additions and 5839 deletions
-333
View File
@@ -1,333 +0,0 @@
name: Stockfish
on:
push:
branches:
- master
- tools
- github_ci
- github_ci_armv7
pull_request:
branches:
- master
- tools
jobs:
Stockfish:
name: ${{ matrix.config.name }}
runs-on: ${{ matrix.config.os }}
env:
COMPILER: ${{ matrix.config.compiler }}
COMP: ${{ matrix.config.comp }}
CXXFLAGS: "-Werror"
strategy:
matrix:
config:
# set the variable for the required tests:
# run_expensive_tests: true
# run_32bit_tests: true
# run_64bit_tests: true
# run_armv8_tests: true
# run_armv7_tests: true
- {
name: "Ubuntu 20.04 GCC",
os: ubuntu-20.04,
compiler: g++,
comp: gcc,
run_expensive_tests: true,
run_32bit_tests: true,
run_64bit_tests: true,
shell: 'bash {0}'
}
- {
name: "Ubuntu 20.04 Clang",
os: ubuntu-20.04,
compiler: clang++,
comp: clang,
run_32bit_tests: true,
run_64bit_tests: true,
shell: 'bash {0}'
}
- {
name: "Ubuntu 20.04 NDK armv8",
os: ubuntu-20.04,
compiler: aarch64-linux-android21-clang++,
comp: ndk,
run_armv8_tests: true,
shell: 'bash {0}'
}
- {
name: "Ubuntu 20.04 NDK armv7",
os: ubuntu-20.04,
compiler: armv7a-linux-androideabi21-clang++,
comp: ndk,
run_armv7_tests: true,
shell: 'bash {0}'
}
- {
name: "MacOS 10.15 Apple Clang",
os: macos-10.15,
compiler: clang++,
comp: clang,
run_64bit_tests: true,
shell: 'bash {0}'
}
- {
name: "MacOS 10.15 GCC 10",
os: macos-10.15,
compiler: g++-10,
comp: gcc,
run_64bit_tests: true,
shell: 'bash {0}'
}
- {
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@v2
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
- 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: |
git log HEAD | grep "\b[Bb]ench[ :]\+[0-9]\{7\}" | head -n 1 | sed "s/[^0-9]*\([0-9]*\).*/\1/g" > git_sig
[ -s git_sig ] && echo "benchref=$(cat git_sig)" >> $GITHUB_ENV && echo "Reference bench:" $(cat git_sig) || echo "No bench found"
- name: Check compiler
run: |
export PATH=$PATH:$ANDROID_NDK_HOME/toolchains/llvm/prebuilt/linux-x86_64/bin
$COMPILER -v
- name: Test help target
run: |
make help
# 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 -j2 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 -j2 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 -j2 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 -j2 ARCH=x86-32-sse2 build
../tests/signature.sh $benchref
- name: Test general-32 build
if: ${{ matrix.config.run_32bit_tests }}
run: |
make clean
make -j2 ARCH=general-32 build
../tests/signature.sh $benchref
# x86-64 tests
- name: Test debug x86-64-modern build
if: ${{ matrix.config.run_64bit_tests }}
run: |
export CXXFLAGS="-Werror -D_GLIBCXX_DEBUG"
make clean
make -j2 ARCH=x86-64-modern optimize=no debug=yes build
../tests/signature.sh $benchref
- name: Test x86-64-modern build
if: ${{ matrix.config.run_64bit_tests }}
run: |
make clean
make -j2 ARCH=x86-64-modern build
../tests/signature.sh $benchref
- name: Test x86-64-ssse3 build
if: ${{ matrix.config.run_64bit_tests }}
run: |
make clean
make -j2 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 -j2 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 -j2 ARCH=x86-64 build
../tests/signature.sh $benchref
- name: Test general-64 build
if: matrix.config.run_64bit_tests
run: |
make clean
make -j2 ARCH=general-64 build
../tests/signature.sh $benchref
# x86-64 with newer extensions tests
- name: Compile x86-64-avx2 build
if: ${{ matrix.config.run_64bit_tests }}
run: |
make clean
make -j2 ARCH=x86-64-avx2 build
- name: Compile x86-64-bmi2 build
if: ${{ matrix.config.run_64bit_tests }}
run: |
make clean
make -j2 ARCH=x86-64-bmi2 build
- name: Compile x86-64-avx512 build
if: ${{ matrix.config.run_64bit_tests }}
run: |
make clean
make -j2 ARCH=x86-64-avx512 build
- name: Compile x86-64-vnni512 build
if: ${{ matrix.config.run_64bit_tests }}
run: |
make clean
make -j2 ARCH=x86-64-vnni512 build
- name: Compile x86-64-vnni256 build
if: ${{ matrix.config.run_64bit_tests }}
run: |
make clean
make -j2 ARCH=x86-64-vnni256 build
# armv8 tests
- name: Test armv8 build
if: ${{ matrix.config.run_armv8_tests }}
run: |
export PATH=$ANDROID_NDK_HOME/toolchains/llvm/prebuilt/linux-x86_64/bin:$PATH
export LDFLAGS="-static -Wno-unused-command-line-argument"
make clean
make -j2 ARCH=armv8 build
../tests/signature.sh $benchref
# armv7 tests
- name: Test armv7 build
if: ${{ matrix.config.run_armv7_tests }}
run: |
export PATH=$ANDROID_NDK_HOME/toolchains/llvm/prebuilt/linux-x86_64/bin:$PATH
export LDFLAGS="-static -Wno-unused-command-line-argument"
make clean
make -j2 ARCH=armv7 build
../tests/signature.sh $benchref
- name: Test armv7-neon build
if: ${{ matrix.config.run_armv7_tests }}
run: |
export PATH=$ANDROID_NDK_HOME/toolchains/llvm/prebuilt/linux-x86_64/bin:$PATH
export LDFLAGS="-static -Wno-unused-command-line-argument"
make clean
make -j2 ARCH=armv7-neon build
../tests/signature.sh $benchref
# Other tests
- name: Check perft and search reproducibility
if: ${{ matrix.config.run_64bit_tests }}
run: |
make clean
make -j2 ARCH=x86-64-modern build
../tests/perft.sh
../tests/reprosearch.sh
# Sanitizers
- name: Run under valgrind
if: ${{ matrix.config.run_expensive_tests }}
run: |
export CXXFLAGS="-O1 -fno-inline"
make clean
make -j2 ARCH=x86-64-modern debug=yes optimize=no build > /dev/null
../tests/instrumented.sh --valgrind
../tests/instrumented.sh --valgrind-thread
- name: Run with UB sanitizer
if: ${{ matrix.config.run_expensive_tests }}
run: |
export CXXFLAGS="-O1 -fno-inline"
make clean
make -j2 ARCH=x86-64-modern sanitize=undefined optimize=no debug=yes build > /dev/null
../tests/instrumented.sh --sanitizer-undefined
- name: Run with thread sanitizer
if: ${{ matrix.config.run_expensive_tests }}
run: |
export CXXFLAGS="-O1 -fno-inline"
make clean
make -j2 ARCH=x86-64-modern sanitize=thread optimize=no debug=yes build > /dev/null
../tests/instrumented.sh --sanitizer-thread
-12
View File
@@ -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
+80
View File
@@ -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
+3 -33
View File
@@ -1,4 +1,4 @@
# List of authors for Stockfish # List of authors for Stockfish, as of August 4, 2020
# Founders of the Stockfish project and fishtest infrastructure # Founders of the Stockfish project and fishtest infrastructure
Tord Romstad (romstad) Tord Romstad (romstad)
@@ -19,42 +19,32 @@ Alain Savard (Rocky640)
Alayan Feh (Alayan-stk-2) Alayan Feh (Alayan-stk-2)
Alexander Kure Alexander Kure
Alexander Pagel (Lolligerhans) Alexander Pagel (Lolligerhans)
Alfredo Menezes (lonfom169)
Ali AlZhrani (Cooffe) Ali AlZhrani (Cooffe)
Andrei Vetrov (proukornew)
Andrew Grant (AndyGrant) Andrew Grant (AndyGrant)
Andrey Neporada (nepal) Andrey Neporada (nepal)
Andy Duplain Andy Duplain
Antoine Champion (antoinechampion)
Aram Tumanian (atumanian) Aram Tumanian (atumanian)
Arjun Temurnikar Arjun Temurnikar
Artem Solopiy (EntityFX)
Auguste Pop Auguste Pop
Balint Pfliegel Balint Pfliegel
Ben Chaney (Chaneybenjamini)
Ben Koshy (BKSpurgeon) Ben Koshy (BKSpurgeon)
Bill Henry (VoyagerOne) Bill Henry (VoyagerOne)
Bojun Guo (noobpwnftw, Nooby) Bojun Guo (noobpwnftw, Nooby)
braich braich
Brian Sheppard (SapphireBrand, briansheppard-toast) Brian Sheppard (SapphireBrand, briansheppard-toast)
Bruno de Melo Costa (BM123499)
Bryan Cross (crossbr) Bryan Cross (crossbr)
candirufish candirufish
Chess13234 Chess13234
Chris Cain (ceebo) Chris Cain (ceebo)
Dale Weiler (graphitemaster)
Dan Schmidt (dfannius) Dan Schmidt (dfannius)
Daniel Axtens (daxtens) Daniel Axtens (daxtens)
Daniel Dugovic (ddugovic) Daniel Dugovic (ddugovic)
Dariusz Orzechowski (dorzechowski) Dariusz Orzechowski
David Zar David Zar
Daylen Yang (daylen) Daylen Yang (daylen)
Deshawn Mohan-Smith (GoldenRare)
Dieter Dobbelaere (ddobbelaere)
DiscanX DiscanX
Dominik Schlösser (domschl) Dominik Schlösser (domschl)
double-beep double-beep
Douglas Matos Gomes (dsmsgms)
Eduardo Cáceres (eduherminio) Eduardo Cáceres (eduherminio)
Eelco de Groot (KingDefender) Eelco de Groot (KingDefender)
Elvin Liu (solarlight2) Elvin Liu (solarlight2)
@@ -63,15 +53,12 @@ Ernesto Gatti
Linmiao Xu (linrock) Linmiao Xu (linrock)
Fabian Beuke (madnight) Fabian Beuke (madnight)
Fabian Fichter (ianfab) Fabian Fichter (ianfab)
Fanael Linithien (Fanael)
fanon fanon
Fauzi Akram Dabat (FauziAkram) Fauzi Akram Dabat (FauziAkram)
Felix Wittmann Felix Wittmann
gamander gamander
Gary Heckman (gheckman) Gary Heckman (gheckman)
George Sobala (gsobala)
gguliash gguliash
Giacomo Lorenzetti (G-Lorenz)
Gian-Carlo Pascutto (gcp) Gian-Carlo Pascutto (gcp)
Gontran Lemaire (gonlem) Gontran Lemaire (gonlem)
Goodkov Vasiliy Aleksandrovich (goodkov) Goodkov Vasiliy Aleksandrovich (goodkov)
@@ -92,26 +79,21 @@ Jean Gauthier (OuaisBla)
Jean-Francois Romang (jromang) Jean-Francois Romang (jromang)
Jekaa Jekaa
Jerry Donald Watson (jerrydonaldwatson) Jerry Donald Watson (jerrydonaldwatson)
jjoshua2
Jonathan Calovski (Mysseno) Jonathan Calovski (Mysseno)
Jonathan Buladas Dumale (SFisGOD) Jonathan Dumale (SFisGOD)
Joost VandeVondele (vondele) Joost VandeVondele (vondele)
Jörg Oster (joergoster) Jörg Oster (joergoster)
Joseph Ellis (jhellis3) Joseph Ellis (jhellis3)
Joseph R. Prostko Joseph R. Prostko
Julian Willemer (NightlyKing)
jundery jundery
Justin Blanchard (UncombedCoconut) Justin Blanchard (UncombedCoconut)
Kelly Wilson Kelly Wilson
Ken Takusagawa Ken Takusagawa
Kian E (KJE-98)
kinderchocolate kinderchocolate
Kiran Panditrao (Krgp) Kiran Panditrao (Krgp)
Kojirion Kojirion
Krystian Kuzniarek (kuzkry)
Leonardo Ljubičić (ICCF World Champion) Leonardo Ljubičić (ICCF World Champion)
Leonid Pechenik (lp--) Leonid Pechenik (lp--)
Liam Keegan (lkeegan)
Linus Arver (listx) Linus Arver (listx)
loco-loco loco-loco
Lub van den Berg (ElbertoOne) Lub van den Berg (ElbertoOne)
@@ -122,10 +104,8 @@ Maciej Żenczykowski (zenczykowski)
Malcolm Campbell (xoto10) Malcolm Campbell (xoto10)
Mark Tenzer (31m059) Mark Tenzer (31m059)
marotear marotear
Matt Ginsberg (mattginsberg)
Matthew Lai (matthewlai) Matthew Lai (matthewlai)
Matthew Sullivan (Matt14916) Matthew Sullivan (Matt14916)
Maxim Molchanov (Maxim)
Michael An (man) Michael An (man)
Michael Byrne (MichaelB7) Michael Byrne (MichaelB7)
Michael Chaly (Vizvezdenec) Michael Chaly (Vizvezdenec)
@@ -134,7 +114,6 @@ Michael Whiteley (protonspring)
Michel Van den Bergh (vdbergh) Michel Van den Bergh (vdbergh)
Miguel Lahoz (miguel-l) Miguel Lahoz (miguel-l)
Mikael Bäckman (mbootsector) Mikael Bäckman (mbootsector)
Mike Babigian (Farseer)
Mira Mira
Miroslav Fontán (Hexik) Miroslav Fontán (Hexik)
Moez Jellouli (MJZ1977) Moez Jellouli (MJZ1977)
@@ -146,8 +125,6 @@ Niklas Fiekas (niklasf)
Nikolay Kostov (NikolayIT) Nikolay Kostov (NikolayIT)
Nguyen Pham (nguyenpham) Nguyen Pham (nguyenpham)
Norman Schmidt (FireFather) Norman Schmidt (FireFather)
notruck
Ofek Shochat (OfekShochat, ghostway)
Ondrej Mosnáček (WOnder93) Ondrej Mosnáček (WOnder93)
Oskar Werkelin Ahlin Oskar Werkelin Ahlin
Pablo Vazquez Pablo Vazquez
@@ -156,7 +133,6 @@ Pascal Romaret
Pasquale Pigazzini (ppigazzini) Pasquale Pigazzini (ppigazzini)
Patrick Jansen (mibere) Patrick Jansen (mibere)
pellanda pellanda
Peter Schneider (pschneider1968)
Peter Zsifkovits (CoffeeOne) Peter Zsifkovits (CoffeeOne)
Praveen Kumar Tummala (praveentml) Praveen Kumar Tummala (praveentml)
Rahul Dsilva (silversolver1) Rahul Dsilva (silversolver1)
@@ -169,23 +145,19 @@ Rodrigo Exterckötter Tjäder
Ron Britvich (Britvich) Ron Britvich (Britvich)
Ronald de Man (syzygy1, syzygy) Ronald de Man (syzygy1, syzygy)
rqs rqs
Rui Coelho (ruicoelhopedro)
Ryan Schmitt Ryan Schmitt
Ryan Takker Ryan Takker
Sami Kiminki (skiminki) Sami Kiminki (skiminki)
Sebastian Buchwald (UniQP) Sebastian Buchwald (UniQP)
Sergei Antonov (saproj) Sergei Antonov (saproj)
Sergei Ivanov (svivanov72) Sergei Ivanov (svivanov72)
Sergio Vieri (sergiovieri)
sf-x sf-x
Shane Booth (shane31) Shane Booth (shane31)
Shawn Varghese (xXH4CKST3RXx) Shawn Varghese (xXH4CKST3RXx)
Siad Daboul (Topologist)
Stefan Geschwentner (locutus2) Stefan Geschwentner (locutus2)
Stefano Cardanobile (Stefano80) Stefano Cardanobile (Stefano80)
Steinar Gunderson (sesse) Steinar Gunderson (sesse)
Stéphane Nicolet (snicolet) Stéphane Nicolet (snicolet)
Prokop Randáček (ProkopRandacek)
Thanar2 Thanar2
thaspel thaspel
theo77186 theo77186
@@ -193,13 +165,11 @@ Tom Truscott
Tom Vijlbrief (tomtor) Tom Vijlbrief (tomtor)
Tomasz Sobczyk (Sopel97) Tomasz Sobczyk (Sopel97)
Torsten Franz (torfranz, tfranzer) Torsten Franz (torfranz, tfranzer)
Torsten Hellwig (Torom)
Tracey Emery (basepr1me) Tracey Emery (basepr1me)
tttak tttak
Unai Corzo (unaiic) Unai Corzo (unaiic)
Uri Blass (uriblass) Uri Blass (uriblass)
Vince Negri (cuddlestmonkey) Vince Negri (cuddlestmonkey)
xefoci7612
zz4032 zz4032
+80 -128
View File
@@ -1,52 +1,46 @@
## Overview ## Overview
[![Build Status](https://github.com/official-stockfish/Stockfish/actions/workflows/stockfish.yml/badge.svg)](https://github.com/official-stockfish/Stockfish/actions) [![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) [![Build Status](https://ci.appveyor.com/api/projects/status/github/official-stockfish/Stockfish?branch=master&svg=true)](https://ci.appveyor.com/project/mcostalba/stockfish/branch/master)
[Stockfish](https://stockfishchess.org) is a free, powerful UCI chess engine [Stockfish](https://stockfishchess.org) is a free, powerful UCI chess engine
derived from Glaurung 2.1. Stockfish is not a complete chess program and requires a derived from Glaurung 2.1. It features two evaluation functions, the classical
UCI-compatible graphical user interface (GUI) (e.g. XBoard with PolyGlot, Scid, evaluation based on handcrafted terms, and the NNUE evaluation based on
Cute Chess, eboard, Arena, Sigma Chess, Shredder, Chess Partner or Fritz) in order efficiently updateable neural networks. The classical evaluation runs efficiently
to be used comfortably. Read the documentation for your GUI of choice for information on most 64bit CPU architectures, while the NNUE evaluation benefits strongly from the
about how to use Stockfish with it. 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.
The Stockfish engine features two evaluation functions for chess. The efficiently
updatable neural network (NNUE) based evaluation is the default and by far the strongest.
The classical evaluation based on handcrafted terms remains available. The strongest
network is integrated in the binary and downloaded automatically during the build process.
The NNUE evaluation benefits from the vector intrinsics available on most CPUs (sse2,
avx2, neon, or similar).
## Files ## Files
This distribution of Stockfish consists of the following files: This distribution of Stockfish consists of the following files:
* [Readme.md](https://github.com/official-stockfish/Stockfish/blob/master/README.md), * Readme.md, the file you are currently reading.
the file you are currently reading.
* [Copying.txt](https://github.com/official-stockfish/Stockfish/blob/master/Copying.txt), * Copying.txt, a text file containing the GNU General Public License version 3.
a text file containing the GNU General Public License version 3.
* [AUTHORS](https://github.com/official-stockfish/Stockfish/blob/master/AUTHORS), * src, a subdirectory containing the full source code, including a Makefile
a text file with the list of authors for the project
* [src](https://github.com/official-stockfish/Stockfish/tree/master/src),
a subdirectory containing the full source code, including a Makefile
that can be used to compile Stockfish on Unix-like systems. that can be used to compile Stockfish on Unix-like systems.
* a file with the .nnue extension, storing the neural network for the NNUE To use the NNUE evaluation an additional data file with neural network parameters
evaluation. Binary distributions will have this file embedded. 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.
## The UCI protocol and available options
The Universal Chess Interface (UCI) is a standard protocol used to communicate with ## UCI options
a chess engine, and is the recommended way to do so for typical graphical user interfaces
(GUI) or chess tools. Stockfish implements the majority of its options as described
in [the UCI protocol](https://www.shredderchess.com/download/div/uci.zip).
Developers can see the default values for UCI options available in Stockfish by typing Currently, Stockfish has the following UCI options:
`./stockfish uci` in a terminal, but the majority of users will typically see them and
change them via a chess GUI. This is a list of available UCI options in Stockfish:
* #### Threads * #### Threads
The number of CPU threads used for searching a position. For best performance, set The number of CPU threads used for searching a position. For best performance, set
@@ -55,9 +49,6 @@ change them via a chess GUI. This is a list of available UCI options in Stockfis
* #### Hash * #### Hash
The size of the hash table in MB. It is recommended to set Hash after setting Threads. The size of the hash table in MB. It is recommended to set Hash after setting Threads.
* #### Clear Hash
Clear the hash table.
* #### Ponder * #### Ponder
Let Stockfish ponder its next move while the opponent is thinking. Let Stockfish ponder its next move while the opponent is thinking.
@@ -67,14 +58,19 @@ change them via a chess GUI. This is a list of available UCI options in Stockfis
* #### Use NNUE * #### Use NNUE
Toggle between the NNUE and classical evaluation functions. If set to "true", Toggle between the NNUE and classical evaluation functions. If set to "true",
the network parameters must be available to load from file (see also EvalFile), the network parameters must be availabe to load from file (see also EvalFile).
if they are not embedded in the binary.
* #### EvalFile * #### EvalFile
The name of the file of the NNUE evaluation parameters. Depending on the GUI the The name of the file of the NNUE evaluation parameters. Depending on the GUI the
filename might have to include the full path to the folder/directory that contains filename should include the full path to the folder/directory that contains the file.
the file. Other locations, such as the directory that contains the binary and the
working directory, are also searched. * #### 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 * #### UCI_AnalyseMode
An option handled by your GUI. An option handled by your GUI.
@@ -107,14 +103,14 @@ change them via a chess GUI. This is a list of available UCI options in Stockfis
Example: `C:\tablebases\wdl345;C:\tablebases\wdl6;D:\tablebases\dtz345;D:\tablebases\dtz6` 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 It is recommended to store .rtbw files on an SSD. There is no loss in storing
the .rtbz files on a regular HDD. It is recommended to verify all md5 checksums 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 of the downloaded tablebase files (`md5sum -c checksum.md5`) as corruption will
lead to engine crashes. lead to engine crashes.
* #### SyzygyProbeDepth * #### SyzygyProbeDepth
Minimum remaining search depth for which a position is probed. Set this option Minimum remaining search depth for which a position is probed. Set this option
to a higher value to probe less aggressively if you experience too much slowdown to a higher value to probe less agressively if you experience too much slowdown
(in terms of nps) due to tablebase probing. (in terms of nps) due to TB probing.
* #### Syzygy50MoveRule * #### Syzygy50MoveRule
Disable to let fifty-move rule draws detected by Syzygy tablebase probes count Disable to let fifty-move rule draws detected by Syzygy tablebase probes count
@@ -136,84 +132,42 @@ change them via a chess GUI. This is a list of available UCI options in Stockfis
Tells the engine to use nodes searched instead of wall time to account for Tells the engine to use nodes searched instead of wall time to account for
elapsed time. Useful for engine testing. elapsed time. Useful for engine testing.
* #### Clear Hash
Clear the hash table.
* #### Debug Log File * #### Debug Log File
Write all communication to and from the engine into a text file. Write all communication to and from the engine into a text file.
For developers the following non-standard commands might be of interest, mainly useful for debugging: ## classical and NNUE evaluation
* #### bench *ttSize threads limit fenFile limitType evalType*
Performs a standard benchmark using various options. The signature of a version
(standard node count) is obtained using all defaults. `bench` is currently
`bench 16 1 13 default depth mixed`.
* #### compiler
Give information about the compiler and environment used for building a binary.
* #### d
Display the current position, with ascii art and fen.
* #### eval
Return the evaluation of the current position.
* #### export_net [filename]
Exports the currently loaded network to a file.
If the currently loaded network is the embedded network and the filename
is not specified then the network is saved to the file matching the name
of the embedded network, as defined in evaluate.h.
If the currently loaded network is not the embedded network (some net set
through the UCI setoption) then the filename parameter is required and the
network is saved into that file.
* #### flip
Flips the side to move.
## A note on classical evaluation versus NNUE evaluation
Both approaches assign a value to a position that is used in alpha-beta (PVS) search 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 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. 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 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 inputs (e.g. piece positions only). The network is optimized and trained
on the evaluations of millions of positions at moderate search depth. on the evalutions of millions of positions at moderate search depth.
The NNUE evaluation was first introduced in shogi, and ported to Stockfish afterward. 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 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. of the neural network need to be updated after a typical chess move.
[The nodchip repository](https://github.com/nodchip/Stockfish) provided the first [The nodchip repository](https://github.com/nodchip/Stockfish) provides additional
version of the needed tools to train and develop the NNUE networks. Today, more tools to train and develop the NNUE networks.
advanced training tools are available in
[the nnue-pytorch repository](https://github.com/glinscott/nnue-pytorch/),
while data generation tools are available in
[a dedicated branch](https://github.com/official-stockfish/Stockfish/tree/tools).
On CPUs supporting modern vector instructions (avx2 and similar), the NNUE evaluation On CPUs supporting modern vector instructions (avx2 and similar), the NNUE evaluation
results in much stronger playing strength, even if the nodes per second computed by results in stronger playing strength, even if the nodes per second computed by the engine
the engine is somewhat lower (roughly 80% of nps is typical). is somewhat lower (roughly 60% of nps is typical).
Notes: Note that the NNUE evaluation depends on the Stockfish binary and the network parameter
file (see EvalFile). Not every parameter file is compatible with a given Stockfish binary.
The default value of the EvalFile UCI option is the name of a network that is guaranteed
to be compatible with that binary.
1) the NNUE evaluation depends on the Stockfish binary and the network parameter file ## What to expect from Syzygybases?
(see the EvalFile UCI option). Not every parameter file is compatible with a given
Stockfish binary, but the default value of the EvalFile UCI option is the name of a
network that is guaranteed to be compatible with that binary.
2) to use the NNUE evaluation, the additional data file with neural network parameters
needs to be available. Normally, this file is already embedded in the binary or it can
be downloaded. The filename for the default (recommended) net can be found as the default
value of the `EvalFile` UCI option, with the format `nn-[SHA256 first 12 digits].nnue`
(for instance, `nn-c157e0a5755b.nnue`). This file can be downloaded from
```
https://tests.stockfishchess.org/api/nn/[filename]
```
replacing `[filename]` as needed.
## What to expect from the Syzygy tablebases?
If the engine is searching a position that is not in the tablebases (e.g. 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. 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 If the engine reports a very large score (typically 153.xx), this means
it has found a winning line into a tablebase position. 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 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 will use the tablebases at the beginning of the search to preselect all
@@ -221,14 +175,14 @@ good moves, i.e. all moves that preserve the win or preserve the draw while
taking into account the 50-move rule. taking into account the 50-move rule.
It will then perform a search only on those moves. **The engine will not move 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 immediately**, unless there is only a single good move. **The engine likely
will not report a mate score, even if the position is known to be won.** will not report a mate score even if the position is known to be won.**
It is therefore clear that this behaviour is not identical to what one might 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 be used to with Nalimov tablebases. There are technical reasons for this
difference, the main technical reason being that Nalimov tablebases use the difference, the main technical reason being that Nalimov tablebases use the
DTM metric (distance-to-mate), while the Syzygy tablebases use a variation of 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 DTZ metric (distance-to-zero, zero meaning any move that resets the 50-move
counter). This special metric is one of the reasons that the Syzygy tablebases are counter). This special metric is one of the reasons that Syzygybases are
more compact than Nalimov tablebases, while still storing all information more compact than Nalimov tablebases, while still storing all information
needed for optimal play and in addition being able to take into account needed for optimal play and in addition being able to take into account
the 50-move rule. the 50-move rule.
@@ -237,8 +191,8 @@ the 50-move rule.
Stockfish supports large pages on Linux and Windows. Large pages make Stockfish supports large pages on Linux and Windows. Large pages make
the hash access more efficient, improving the engine speed, especially the hash access more efficient, improving the engine speed, especially
on large hash sizes. Typical increases are 5..10% in terms of nodes per on large hash sizes. Typical increases are 5..10% in terms of nps, but
second, but speed increases up to 30% have been measured. The support is speed increases up to 30% have been measured. The support is
automatic. Stockfish attempts to use large pages when available and automatic. Stockfish attempts to use large pages when available and
will fall back to regular memory allocation when this is not the case. will fall back to regular memory allocation when this is not the case.
@@ -246,17 +200,17 @@ will fall back to regular memory allocation when this is not the case.
Large page support on Linux is obtained by the Linux kernel Large page support on Linux is obtained by the Linux kernel
transparent huge pages functionality. Typically, transparent huge pages transparent huge pages functionality. Typically, transparent huge pages
are already enabled, and no configuration is needed. are already enabled and no configuration is needed.
### Support on Windows ### Support on Windows
The use of large pages requires "Lock Pages in Memory" privilege. See 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) [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, then run [RAMMap](https://docs.microsoft.com/en-us/sysinternals/downloads/rammap) on how to enable this privilege. Logout/login may be needed
to double-check that large pages are used. We suggest that you reboot afterwards. Due to memory fragmentation, it may not always be
your computer after you have enabled large pages, because long Windows possible to allocate large pages even when enabled. A reboot
sessions suffer from memory fragmentation, which may prevent Stockfish might alleviate this problem. To determine whether large pages
from getting large pages: a fresh session is better in this regard. are in use, see the engine log.
## Compiling Stockfish yourself from the sources ## Compiling Stockfish yourself from the sources
@@ -271,26 +225,26 @@ targets with corresponding descriptions.
``` ```
cd src cd src
make help make help
make net
make build ARCH=x86-64-modern make build ARCH=x86-64-modern
``` ```
When not using the Makefile to compile (for instance, with Microsoft MSVC) you When not using the Makefile to compile (for instance with Microsoft MSVC) you
need to manually set/unset some switches in the compiler command line; see need to manually set/unset some switches in the compiler command line; see
file *types.h* for a quick reference. file *types.h* for a quick reference.
When reporting an issue or a bug, please tell us which Stockfish version When reporting an issue or a bug, please tell us which version and
and which compiler you used to create your executable. This information compiler you used to create your executable. These informations can
can be found by typing the following command in a console: be found by typing the following commands in a console:
``` ```
./stockfish compiler ./stockfish
compiler
``` ```
## Understanding the code base and participating in the project ## Understanding the code base and participating in the project
Stockfish's improvement over the last decade has been a great community Stockfish's improvement over the last couple of years has been a great
effort. There are a few ways to help contribute to its growth. community effort. There are a few ways to help contribute to its growth.
### Donating hardware ### Donating hardware
@@ -311,9 +265,8 @@ generic rather than being focused on Stockfish's precise implementation.
Nevertheless, a helpful resource. Nevertheless, a helpful resource.
* The latest source can always be found on [GitHub](https://github.com/official-stockfish/Stockfish). * The latest source can always be found on [GitHub](https://github.com/official-stockfish/Stockfish).
Discussions about Stockfish take place these days mainly in the [FishCooking](https://groups.google.com/forum/#!forum/fishcooking) Discussions about Stockfish take place in the [FishCooking](https://groups.google.com/forum/#!forum/fishcooking)
group and on the [Stockfish Discord channel](https://discord.gg/nv8gDtt). group and engine testing is done on [Fishtest](https://tests.stockfishchess.org/tests).
The engine testing is done on [Fishtest](https://tests.stockfishchess.org/tests).
If you want to help improve Stockfish, please read this [guideline](https://github.com/glinscott/fishtest/wiki/Creating-my-first-test) 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. first, where the basics of Stockfish development are explained.
@@ -321,17 +274,16 @@ first, where the basics of Stockfish development are explained.
## Terms of use ## Terms of use
Stockfish is free, and distributed under the **GNU General Public License version 3** Stockfish is free, and distributed under the **GNU General Public License version 3**
(GPL v3). Essentially, this means you are free to do almost exactly (GPL v3). Essentially, this means that you are free to do almost exactly
what you want with the program, including distributing it among your what you want with the program, including distributing it among your
friends, making it available for download from your website, selling friends, making it available for download from your web site, selling
it (either by itself or as part of some bigger software package), or 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. using it as the starting point for a software project of your own.
The only real limitation is that whenever you distribute Stockfish in The only real limitation is that whenever you distribute Stockfish in
some way, you MUST always include the license and the full source code some way, you must always include the full source code, or a pointer
(or a pointer to where the source code can be found) to generate the to where the source code can be found. If you make any changes to the
exact binary you are distributing. If you make any changes to the source code, these changes must also be made available under the GPL.
source code, these changes must also be made available under the GPL v3.
For full details, read the copy of the GPL v3 found in the file named For full details, read the copy of the GPL v3 found in the file named
[*Copying.txt*](https://github.com/official-stockfish/Stockfish/blob/master/Copying.txt). *Copying.txt*.
+152 -233
View File
@@ -1,235 +1,154 @@
Contributors to Fishtest with >10,000 CPU hours, as of 2022-04-14. Contributors with >10,000 CPU hours as of January 7, 2020
Thank you! Thank you!
Username CPU Hours Games played Username CPU Hours Games played
------------------------------------------------------------------ --------------------------------------------------
noobpwnftw 31714850 2267266129 noobpwnftw 9305707 695548021
mlang 2954099 198421098 mlang 780050 61648867
technologov 2324150 102449398 dew 621626 43921547
dew 1670874 99276012 mibere 524702 42238645
grandphish2 1134273 68070459 crunchy 354587 27344275
okrout 901194 77738874 cw 354495 27274181
TueRens 821388 50207666 fastgm 332801 22804359
tvijlbrief 795993 51894442 JojoM 295750 20437451
pemo 744463 32486677 CSU_Dynasty 262015 21828122
JojoM 724378 43660674 Fisherman 232181 18939229
mibere 703840 46867607 ctoks 218866 17622052
linrock 626939 17408017 glinscott 201989 13780820
gvreuls 534079 34352532 tvijlbrief 201204 15337115
cw 507221 34006775 velislav 188630 14348485
fastgm 489749 29344518 gvreuls 187164 15149976
crunchy 427035 27344275 bking_US 180289 11876016
CSU_Dynasty 424643 28525220 nordlandia 172076 13467830
ctoks 415771 27364603 leszek 157152 11443978
oz 369200 27017658 Thanar 148021 12365359
bcross 342642 23671289 spams 141975 10319326
Fisherman 327231 21829379 drabel 138073 11121749
velislav 325670 20911076 vdv 137850 9394330
leszek 321295 19874113 mgrabiak 133578 10454324
Dantist 274747 16910258 TueRens 132485 10878471
mgrabiak 237604 15418700 bcross 129683 11557084
robal 217959 13840386 marrco 126078 9356740
glinscott 217799 13780820 sqrt2 125830 9724586
nordlandia 211692 13484886 robal 122873 9593418
drabel 201967 13798360 vdbergh 120766 8926915
bking_US 198894 11876016 malala 115926 8002293
mhoram 194862 12261809 CoffeeOne 114241 5004100
Thanar 179852 12365359 dsmith 113189 7570238
vdv 175544 9904472 BrunoBanani 104644 7436849
spams 157128 10319326 Data 92328 8220352
rpngn 154081 9652139 mhoram 89333 6695109
marrco 150300 9402229 davar 87924 7009424
sqrt2 147963 9724586 xoto 81094 6869316
vdbergh 137430 8955097 ElbertoOne 80899 7023771
CoffeeOne 137100 5024116 grandphish2 78067 6160199
malala 136182 8002293 brabos 77212 6186135
xoto 133759 9159372 psk 75733 5984901
davar 125240 8117121 BRAVONE 73875 5054681
dsmith 122059 7570238 sunu 70771 5597972
amicic 119659 7937885 sterni1971 70605 5590573
Data 113305 8220352 MaZePallas 66886 5188978
BrunoBanani 112960 7436849 Vizvezdenec 63708 4967313
CypressChess 108321 7759588 nssy 63462 5259388
DesolatedDodo 106811 6776980 jromang 61634 4940891
MaZePallas 102823 6633619 teddybaer 61231 5407666
sterni1971 100532 5880772 Pking_cda 60099 5293873
sunu 100167 7040199 solarlight 57469 5028306
ElbertoOne 99028 7023771 dv8silencer 56913 3883992
skiminki 98123 6478402 tinker 54936 4086118
brabos 92118 6186135 renouve 49732 3501516
cuistot 90358 5351004 Freja 49543 3733019
psk 89957 5984901 robnjr 46972 4053117
racerschmacer 85712 6119648 rap 46563 3219146
Vizvezdenec 83761 5344740 Bobo1239 46036 3817196
zeryl 83680 5250995 ttruscott 45304 3649765
sschnee 83003 4840890 racerschmacer 44881 3975413
0x3C33 82614 5271253 finfish 44764 3370515
BRAVONE 81239 5054681 eva42 41783 3599691
nssy 76497 5259388 biffhero 40263 3111352
teddybaer 75125 5407666 bigpen0r 39817 3291647
jromang 74796 5175825 mhunt 38871 2691355
Pking_cda 73776 5293873 ronaldjerum 38820 3240695
Calis007 72477 4088576 Antihistamine 38785 2761312
solarlight 70517 5028306 pb00067 38038 3086320
dv8silencer 70287 3883992 speedycpu 37591 3003273
Bobo1239 68515 4652287 rkl 37207 3289580
manap 66273 4121774 VoyagerOne 37050 3441673
yurikvelo 65716 4457300 jbwiebe 35320 2805433
tinker 64333 4268790 cuistot 34191 2146279
Wolfgang 62644 3817410 homyur 33927 2850481
qurashee 61208 3429862 manap 32873 2327384
robnjr 57262 4053117 gri 32538 2515779
Freja 56938 3733019 oryx 31267 2899051
ttruscott 56010 3680085 EthanOConnor 30959 2090311
rkl 55132 4164467 SC 30832 2730764
renouve 53811 3501516 csnodgrass 29505 2688994
megaman7de 52434 3243016 jmdana 29458 2205261
MaxKlaxxMiner 51977 3153032 strelock 28219 2067805
finfish 51360 3370515 jkiiski 27832 1904470
eva42 51272 3599691 Pyafue 27533 1902349
eastorwest 51058 3451555 Garf 27515 2747562
rap 49985 3219146 eastorwest 27421 2317535
pb00067 49727 3298270 slakovv 26903 2021889
Spprtr 48920 3161711 Prcuvu 24835 2170122
bigpen0r 47667 3336927 anst 24714 2190091
ronaldjerum 47654 3240695 hyperbolic.tom 24319 2017394
biffhero 46564 3111352 Patrick_G 23687 1801617
Fifis 45843 3088497 Sharaf_DG 22896 1786697
VoyagerOne 45476 3452465 nabildanial 22195 1519409
speedycpu 43842 3003273 chriswk 21931 1868317
jbwiebe 43305 2805433 achambord 21665 1767323
Antihistamine 41788 2761312 Zirie 20887 1472937
mhunt 41735 2691355 team-oh 20217 1636708
homyur 39893 2850481 Isidor 20096 1680691
gri 39871 2515779 ncfish1 19931 1520927
armo9494 39064 2832326 nesoneg 19875 1463031
oryx 38867 2976992 Spprtr 19853 1548165
SC 37299 2731694 JanErik 19849 1703875
Garf 37213 2986270 agg177 19478 1395014
tolkki963 37059 2154330 SFTUser 19231 1567999
csnodgrass 36207 2688994 xor12 19017 1680165
jmdana 36157 2210661 sg4032 18431 1641865
strelock 34716 2074055 rstoesser 18118 1293588
DMBK 34010 2482916 MazeOfGalious 17917 1629593
EthanOConnor 33370 2090311 j3corre 17743 941444
slakovv 32915 2021889 cisco2015 17725 1690126
gopeto 30993 2028106 ianh2105 17706 1632562
manapbk 30987 1810399 dex 17678 1467203
Prcuvu 30377 2170122 jundery 17194 1115855
anst 30301 2190091 iisiraider 17019 1101015
jkiiski 30136 1904470 horst.prack 17012 1465656
hyperbolic.tom 29840 2017394 Adrian.Schmidt123 16563 1281436
chuckstablers 29659 2093438 purplefishies 16342 1092533
Pyafue 29650 1902349 wei 16274 1745989
ncfish1 29105 1704011 ville 16144 1384026
belzedar94 27935 1789106 eudhan 15712 1283717
OuaisBla 27636 1578800 OuaisBla 15581 972000
chriswk 26902 1868317 DragonLord 15559 1162790
achambord 26582 1767323 dju 14716 875569
Patrick_G 26276 1801617 chris 14479 1487385
yorkman 26193 1992080 0xB00B1ES 14079 1001120
SFTUser 25182 1675689 OssumOpossum 13776 1007129
nabildanial 24942 1519409 enedene 13460 905279
Sharaf_DG 24765 1786697 bpfliegel 13346 884523
rodneyc 24275 1410450 Ente 13198 1156722
agg177 23890 1395014 IgorLeMasson 13087 1147232
JanErik 23408 1703875 jpulman 13000 870599
Isidor 23388 1680691 ako027ako 12775 1173203
Norabor 23339 1602636 Nikolay.IT 12352 1068349
Ente 23270 1651432 Andrew Grant 12327 895539
cisco2015 22897 1762669 joster 12008 950160
MarcusTullius 22688 1274821 AdrianSA 11996 804972
Zirie 22542 1472937 Nesa92 11455 1111993
team-oh 22272 1636708 fatmurphy 11345 853210
MazeOfGalious 21978 1629593 Dark_wizzie 11108 1007152
sg4032 21947 1643265 modolief 10869 896470
ianh2105 21725 1632562 mschmidt 10757 803401
xor12 21628 1680365 infinity 10594 727027
dex 21612 1467203 mabichito 10524 749391
nesoneg 21494 1463031 Thomas A. Anderson 10474 732094
Roady 21323 1433822 thijsk 10431 719357
sphinx 21211 1384728 Flopzee 10339 894821
user213718 21196 1397710 crocogoat 10104 1013854
spcc 21065 1311338 SapphireBrand 10104 969604
jjoshua2 21001 1423089 stocky 10017 699440
horst.prack 20878 1465656
0xB00B1ES 20590 1208666
j3corre 20405 941444
kdave 20364 1389254
Adrian.Schmidt123 20316 1281436
Ulysses 20217 1351500
markkulix 19976 1115258
wei 19973 1745989
rstoesser 19569 1293588
eudhan 19274 1283717
fishtester 18995 1238686
vulcan 18871 1729392
jundery 18445 1115855
iisiraider 18247 1101015
ville 17883 1384026
chris 17698 1487385
purplefishies 17595 1092533
dju 17353 978595
Wencey 17125 805964
DragonLord 17014 1162790
thirdlife 16996 447356
IgorLeMasson 16064 1147232
ako027ako 15671 1173203
AndreasKrug 15550 1194497
Nikolay.IT 15154 1068349
Andrew Grant 15114 895539
scuzzi 14928 953313
OssumOpossum 14857 1007129
Karby 14808 867120
jsys14 14652 855642
enedene 14476 905279
bpfliegel 14298 884523
mpx86 14019 759568
jpulman 13982 870599
crocogoat 13803 1117422
joster 13794 950160
Nesa92 13786 1114691
mbeier 13650 1044928
Hjax 13535 915487
Dark_wizzie 13422 1007152
Jopo12321 13367 678852
Rudolphous 13244 883140
Machariel 13010 863104
mabichito 12903 749391
thijsk 12886 722107
AdrianSA 12860 804972
infinigon 12807 937332
Flopzee 12698 894821
fatmurphy 12547 853210
SapphireBrand 12416 969604
modolief 12386 896470
Farseer 12249 694108
pgontarz 12151 848794
pirt 12008 923149
stocky 11954 699440
mschmidt 11941 803401
dbernier 11609 818636
Maxim 11543 836024
infinity 11470 727027
aga 11409 695071
torbjo 11395 729145
Thomas A. Anderson 11372 732094
savage84 11358 670860
FormazChar 11349 850327
d64 11263 789184
MooTheCow 11237 720174
snicolet 11106 869170
ali-al-zhrani 11098 768494
whelanh 11067 235676
Jackfish 10978 720078
deflectooor 10886 520116
basepi 10637 744851
Cubox 10621 826448
michaelrpg 10509 739239
OIVAS7572 10420 995586
dzjp 10343 732529
Garruk 10334 704065
ols 10259 570669
lbraesch 10252 647825
qoo_charly_cai 10212 620407
Naven94 10069 503192
+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 }
+236 -471
View File
File diff suppressed because it is too large Load Diff
+3 -19
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -87,20 +87,16 @@ const vector<string> Defaults = {
// Chess 960 // Chess 960
"setoption name UCI_Chess960 value true", "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", "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" "setoption name UCI_Chess960 value false"
}; };
} // namespace } // namespace
namespace Stockfish {
/// setup_bench() builds a list of UCI commands to be run by bench. There /// 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 /// 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 /// should be used, the limit value spent for each position, a file name
/// where to look for positions in FEN format, the type of the limit: /// where to look for positions in FEN format and the type of the limit:
/// depth, perft, nodes and movetime (in millisecs), and evaluation type /// depth, perft, nodes and movetime (in millisecs).
/// mixed (default), classical, NNUE.
/// ///
/// bench -> search default positions up to depth 13 /// bench -> search default positions up to depth 13
/// bench 64 1 15 -> search default positions up to depth 15 (TT = 64MB) /// bench 64 1 15 -> search default positions up to depth 15 (TT = 64MB)
@@ -119,7 +115,6 @@ vector<string> setup_bench(const Position& current, istream& is) {
string limit = (is >> token) ? token : "13"; string limit = (is >> token) ? token : "13";
string fenFile = (is >> token) ? token : "default"; string fenFile = (is >> token) ? token : "default";
string limitType = (is >> token) ? token : "depth"; string limitType = (is >> token) ? token : "depth";
string evalType = (is >> token) ? token : "mixed";
go = limitType == "eval" ? "eval" : "go " + limitType + " " + limit; go = limitType == "eval" ? "eval" : "go " + limitType + " " + limit;
@@ -151,25 +146,14 @@ vector<string> setup_bench(const Position& current, istream& is) {
list.emplace_back("setoption name Hash value " + ttSize); list.emplace_back("setoption name Hash value " + ttSize);
list.emplace_back("ucinewgame"); list.emplace_back("ucinewgame");
size_t posCounter = 0;
for (const string& fen : fens) for (const string& fen : fens)
if (fen.find("setoption") != string::npos) if (fen.find("setoption") != string::npos)
list.emplace_back(fen); list.emplace_back(fen);
else else
{ {
if (evalType == "classical" || (evalType == "mixed" && posCounter % 2 == 0))
list.emplace_back("setoption name Use NNUE value false");
else if (evalType == "NNUE" || (evalType == "mixed" && posCounter % 2 != 0))
list.emplace_back("setoption name Use NNUE value true");
list.emplace_back("position fen " + fen); list.emplace_back("position fen " + fen);
list.emplace_back(go); list.emplace_back(go);
++posCounter;
} }
list.emplace_back("setoption name Use NNUE value true");
return list; return list;
} }
} // namespace Stockfish
+5 -7
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -23,8 +23,6 @@
#include "bitboard.h" #include "bitboard.h"
#include "types.h" #include "types.h"
namespace Stockfish {
namespace { namespace {
// There are 24 possible pawn squares: files A to D and ranks from 2 to 7. // There are 24 possible pawn squares: files A to D and ranks from 2 to 7.
@@ -68,6 +66,7 @@ namespace {
} // namespace } // namespace
bool Bitbases::probe(Square wksq, Square wpsq, Square bksq, Color stm) { bool Bitbases::probe(Square wksq, Square wpsq, Square bksq, Color stm) {
assert(file_of(wpsq) <= FILE_D); assert(file_of(wpsq) <= FILE_D);
@@ -97,6 +96,7 @@ void Bitbases::init() {
KPKBitbase.set(idx); KPKBitbase.set(idx);
} }
namespace { namespace {
KPKPosition::KPKPosition(unsigned idx) { KPKPosition::KPKPosition(unsigned idx) {
@@ -150,8 +150,8 @@ namespace {
Bitboard b = attacks_bb<KING>(ksq[stm]); Bitboard b = attacks_bb<KING>(ksq[stm]);
while (b) while (b)
r |= stm == WHITE ? db[index(BLACK, ksq[BLACK], pop_lsb(b), psq)] r |= stm == WHITE ? db[index(BLACK, ksq[BLACK] , pop_lsb(&b), psq)]
: db[index(WHITE, pop_lsb(b), ksq[WHITE], psq)]; : db[index(WHITE, pop_lsb(&b), ksq[WHITE], psq)];
if (stm == WHITE) if (stm == WHITE)
{ {
@@ -168,5 +168,3 @@ namespace {
} }
} // namespace } // namespace
} // namespace Stockfish
+6 -25
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -22,14 +22,11 @@
#include "bitboard.h" #include "bitboard.h"
#include "misc.h" #include "misc.h"
namespace Stockfish {
uint8_t PopCnt16[1 << 16]; uint8_t PopCnt16[1 << 16];
uint8_t SquareDistance[SQUARE_NB][SQUARE_NB]; uint8_t SquareDistance[SQUARE_NB][SQUARE_NB];
Bitboard SquareBB[SQUARE_NB]; Bitboard SquareBB[SQUARE_NB];
Bitboard LineBB[SQUARE_NB][SQUARE_NB]; Bitboard LineBB[SQUARE_NB][SQUARE_NB];
Bitboard BetweenBB[SQUARE_NB][SQUARE_NB];
Bitboard PseudoAttacks[PIECE_TYPE_NB][SQUARE_NB]; Bitboard PseudoAttacks[PIECE_TYPE_NB][SQUARE_NB];
Bitboard PawnAttacks[COLOR_NB][SQUARE_NB]; Bitboard PawnAttacks[COLOR_NB][SQUARE_NB];
@@ -42,22 +39,13 @@ namespace {
Bitboard BishopTable[0x1480]; // To store bishop attacks Bitboard BishopTable[0x1480]; // To store bishop attacks
void init_magics(PieceType pt, Bitboard table[], Magic magics[]); void init_magics(PieceType pt, Bitboard table[], Magic magics[]);
}
/// safe_destination() returns the bitboard of target square for the given step
/// from the given square. If the step is off the board, returns empty bitboard.
inline Bitboard safe_destination(Square s, int step) {
Square to = Square(s + step);
return is_ok(to) && distance(s, to) <= 2 ? square_bb(to) : Bitboard(0);
} }
/// Bitboards::pretty() returns an ASCII representation of a bitboard suitable /// Bitboards::pretty() returns an ASCII representation of a bitboard suitable
/// to be printed to standard output. Useful for debugging. /// to be printed to standard output. Useful for debugging.
std::string Bitboards::pretty(Bitboard b) { const std::string Bitboards::pretty(Bitboard b) {
std::string s = "+---+---+---+---+---+---+---+---+\n"; std::string s = "+---+---+---+---+---+---+---+---+\n";
@@ -108,17 +96,12 @@ void Bitboards::init() {
for (PieceType pt : { BISHOP, ROOK }) for (PieceType pt : { BISHOP, ROOK })
for (Square s2 = SQ_A1; s2 <= SQ_H8; ++s2) for (Square s2 = SQ_A1; s2 <= SQ_H8; ++s2)
{
if (PseudoAttacks[pt][s1] & s2) if (PseudoAttacks[pt][s1] & s2)
{ LineBB[s1][s2] = (attacks_bb(pt, s1, 0) & attacks_bb(pt, s2, 0)) | s1 | s2;
LineBB[s1][s2] = (attacks_bb(pt, s1, 0) & attacks_bb(pt, s2, 0)) | s1 | s2;
BetweenBB[s1][s2] = (attacks_bb(pt, s1, square_bb(s2)) & attacks_bb(pt, s2, square_bb(s1)));
}
BetweenBB[s1][s2] |= s2;
}
} }
} }
namespace { namespace {
Bitboard sliding_attack(PieceType pt, Square sq, Bitboard occupied) { Bitboard sliding_attack(PieceType pt, Square sq, Bitboard occupied) {
@@ -127,10 +110,10 @@ namespace {
Direction RookDirections[4] = {NORTH, SOUTH, EAST, WEST}; Direction RookDirections[4] = {NORTH, SOUTH, EAST, WEST};
Direction BishopDirections[4] = {NORTH_EAST, SOUTH_EAST, SOUTH_WEST, NORTH_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; Square s = sq;
while (safe_destination(s, d) && !(occupied & s)) while(safe_destination(s, d) && !(occupied & s))
attacks |= (s += d); attacks |= (s += d);
} }
@@ -218,5 +201,3 @@ namespace {
} }
} }
} }
} // namespace Stockfish
+26 -34
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -23,21 +23,19 @@
#include "types.h" #include "types.h"
namespace Stockfish {
namespace Bitbases { namespace Bitbases {
void init(); void init();
bool probe(Square wksq, Square wpsq, Square bksq, Color us); bool probe(Square wksq, Square wpsq, Square bksq, Color us);
} // namespace Stockfish::Bitbases }
namespace Bitboards { namespace Bitboards {
void init(); void init();
std::string pretty(Bitboard b); const std::string pretty(Bitboard b);
} // namespace Stockfish::Bitboards }
constexpr Bitboard AllSquares = ~Bitboard(0); constexpr Bitboard AllSquares = ~Bitboard(0);
constexpr Bitboard DarkSquares = 0xAA55AA55AA55AA55ULL; constexpr Bitboard DarkSquares = 0xAA55AA55AA55AA55ULL;
@@ -75,7 +73,6 @@ extern uint8_t PopCnt16[1 << 16];
extern uint8_t SquareDistance[SQUARE_NB][SQUARE_NB]; extern uint8_t SquareDistance[SQUARE_NB][SQUARE_NB];
extern Bitboard SquareBB[SQUARE_NB]; extern Bitboard SquareBB[SQUARE_NB];
extern Bitboard BetweenBB[SQUARE_NB][SQUARE_NB];
extern Bitboard LineBB[SQUARE_NB][SQUARE_NB]; extern Bitboard LineBB[SQUARE_NB][SQUARE_NB];
extern Bitboard PseudoAttacks[PIECE_TYPE_NB][SQUARE_NB]; extern Bitboard PseudoAttacks[PIECE_TYPE_NB][SQUARE_NB];
extern Bitboard PawnAttacks[COLOR_NB][SQUARE_NB]; extern Bitboard PawnAttacks[COLOR_NB][SQUARE_NB];
@@ -212,29 +209,23 @@ constexpr Bitboard adjacent_files_bb(Square s) {
inline Bitboard line_bb(Square s1, Square s2) { inline Bitboard line_bb(Square s1, Square s2) {
assert(is_ok(s1) && is_ok(s2)); assert(is_ok(s1) && is_ok(s2));
return LineBB[s1][s2]; return LineBB[s1][s2];
} }
/// between_bb(s1, s2) returns a bitboard representing the squares in the semi-open /// between_bb() returns a bitboard representing squares that are linearly
/// segment between the squares s1 and s2 (excluding s1 but including s2). If the /// between the two given squares (excluding the given squares). If the given
/// given squares are not on a same file/rank/diagonal, it returns s2. For instance, /// 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, E6 and F7, but /// between_bb(SQ_C4, SQ_F7) will return a bitboard with squares D5 and E6.
/// between_bb(SQ_E6, SQ_F8) will return a bitboard with the square F8. This trick
/// allows to generate non-king evasion moves faster: the defending piece must either
/// interpose itself to cover the check or capture the checking piece.
inline Bitboard between_bb(Square s1, Square s2) { inline Bitboard between_bb(Square s1, Square s2) {
Bitboard b = line_bb(s1, s2) & ((AllSquares << s1) ^ (AllSquares << s2));
assert(is_ok(s1) && is_ok(s2)); return b & (b - 1); //exclude lsb
return BetweenBB[s1][s2];
} }
/// forward_ranks_bb() returns a bitboard representing the squares on the ranks in /// forward_ranks_bb() returns a bitboard representing the squares on the ranks
/// front of the given one, from the point of view of the given color. For instance, /// 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. /// forward_ranks_bb(BLACK, SQ_D3) will return the 16 squares on ranks 1 and 2.
constexpr Bitboard forward_ranks_bb(Color c, Square s) { constexpr Bitboard forward_ranks_bb(Color c, Square s) {
@@ -288,6 +279,16 @@ 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)); } 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 /// attacks_bb(Square) returns the pseudo attacks of the give piece type
/// assuming an empty board. /// assuming an empty board.
@@ -421,20 +422,13 @@ inline Square msb(Bitboard b) {
#endif #endif
/// least_significant_square_bb() returns the bitboard of the least significant
/// square of a non-zero bitboard. It is equivalent to square_bb(lsb(bb)).
inline Bitboard least_significant_square_bb(Bitboard b) {
assert(b);
return b & -b;
}
/// pop_lsb() finds and clears the least significant bit in a non-zero bitboard /// pop_lsb() finds and clears the least significant bit in a non-zero bitboard
inline Square pop_lsb(Bitboard& b) { inline Square pop_lsb(Bitboard* b) {
assert(b); assert(*b);
const Square s = lsb(b); const Square s = lsb(*b);
b &= b - 1; *b &= *b - 1;
return s; return s;
} }
@@ -446,6 +440,4 @@ inline Square frontmost_sq(Color c, Bitboard b) {
return c == WHITE ? msb(b) : lsb(b); return c == WHITE ? msb(b) : lsb(b);
} }
} // namespace Stockfish
#endif // #ifndef BITBOARD_H_INCLUDED #endif // #ifndef BITBOARD_H_INCLUDED
+5 -9
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -22,8 +22,6 @@
#include "endgame.h" #include "endgame.h"
#include "movegen.h" #include "movegen.h"
namespace Stockfish {
namespace { namespace {
// Used to drive the king towards the edge of the board // Used to drive the king towards the edge of the board
@@ -555,8 +553,8 @@ ScaleFactor Endgame<KRPPKRP>::operator()(const Position& pos) const {
assert(verify_material(pos, strongSide, RookValueMg, 2)); assert(verify_material(pos, strongSide, RookValueMg, 2));
assert(verify_material(pos, weakSide, RookValueMg, 1)); assert(verify_material(pos, weakSide, RookValueMg, 1));
Square strongPawn1 = lsb(pos.pieces(strongSide, PAWN)); Square strongPawn1 = pos.squares<PAWN>(strongSide)[0];
Square strongPawn2 = msb(pos.pieces(strongSide, PAWN)); Square strongPawn2 = pos.squares<PAWN>(strongSide)[1];
Square weakKing = pos.square<KING>(weakSide); Square weakKing = pos.square<KING>(weakSide);
// Does the stronger side have a passed pawn? // Does the stronger side have a passed pawn?
@@ -640,8 +638,8 @@ ScaleFactor Endgame<KBPPKB>::operator()(const Position& pos) const {
return SCALE_FACTOR_NONE; return SCALE_FACTOR_NONE;
Square weakKing = pos.square<KING>(weakSide); Square weakKing = pos.square<KING>(weakSide);
Square strongPawn1 = lsb(pos.pieces(strongSide, PAWN)); Square strongPawn1 = pos.squares<PAWN>(strongSide)[0];
Square strongPawn2 = msb(pos.pieces(strongSide, PAWN)); Square strongPawn2 = pos.squares<PAWN>(strongSide)[1];
Square blockSq1, blockSq2; Square blockSq1, blockSq2;
if (relative_rank(strongSide, strongPawn1) > relative_rank(strongSide, strongPawn2)) if (relative_rank(strongSide, strongPawn1) > relative_rank(strongSide, strongPawn2))
@@ -743,5 +741,3 @@ ScaleFactor Endgame<KPKP>::operator()(const Position& pos) const {
// it's probably at least a draw even with the pawn. // it's probably at least a draw even with the pawn.
return Bitbases::probe(strongKing, strongPawn, weakKing, us) ? SCALE_FACTOR_NONE : SCALE_FACTOR_DRAW; return Bitbases::probe(strongKing, strongPawn, weakKing, us) ? SCALE_FACTOR_NONE : SCALE_FACTOR_DRAW;
} }
} // namespace Stockfish
+1 -4
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -28,7 +28,6 @@
#include "position.h" #include "position.h"
#include "types.h" #include "types.h"
namespace Stockfish {
/// EndgameCode lists all supported endgame functions by corresponding codes /// EndgameCode lists all supported endgame functions by corresponding codes
@@ -121,6 +120,4 @@ namespace Endgames {
} }
} }
} // namespace Stockfish
#endif // #ifndef ENDGAME_H_INCLUDED #endif // #ifndef ENDGAME_H_INCLUDED
+167 -362
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -20,132 +20,46 @@
#include <cassert> #include <cassert>
#include <cstdlib> #include <cstdlib>
#include <cstring> // For std::memset #include <cstring> // For std::memset
#include <fstream>
#include <iomanip> #include <iomanip>
#include <sstream> #include <sstream>
#include <iostream> #include <iostream>
#include <streambuf>
#include <vector>
#include "bitboard.h" #include "bitboard.h"
#include "evaluate.h" #include "evaluate.h"
#include "material.h" #include "material.h"
#include "misc.h"
#include "pawns.h" #include "pawns.h"
#include "thread.h" #include "thread.h"
#include "timeman.h"
#include "uci.h" #include "uci.h"
#include "incbin/incbin.h"
// Macro to embed the default efficiently updatable neural network (NNUE) file
// data in the engine binary (using incbin.h, by Dale Weiler).
// This macro invocation will declare the following three variables
// const unsigned char gEmbeddedNNUEData[]; // a pointer to the embedded data
// const unsigned char *const gEmbeddedNNUEEnd; // a marker to the end
// const unsigned int gEmbeddedNNUESize; // the size of the embedded file
// Note that this does not work in Microsoft Visual Studio.
#if !defined(_MSC_VER) && !defined(NNUE_EMBEDDING_OFF)
INCBIN(EmbeddedNNUE, EvalFileDefaultName);
#else
const unsigned char gEmbeddedNNUEData[1] = {0x0};
const unsigned char *const gEmbeddedNNUEEnd = &gEmbeddedNNUEData[1];
const unsigned int gEmbeddedNNUESize = 1;
#endif
using namespace std;
namespace Stockfish {
namespace Eval { namespace Eval {
bool useNNUE; bool useNNUE;
string currentEvalFileName = "None"; std::string eval_file_loaded="None";
/// NNUE::init() tries to load a NNUE network at startup time, or when the engine void init_NNUE() {
/// receives a UCI command "setoption name EvalFile value nn-[a-z0-9]{12}.nnue"
/// The name of the NNUE network is always retrieved from the EvalFile option.
/// We search the given network in three locations: internally (the default
/// network may be embedded in the binary), in the active working directory and
/// in the engine directory. Distro packagers may define the DEFAULT_NNUE_DIRECTORY
/// variable to have the engine search in a special directory in their distro.
void NNUE::init() {
useNNUE = Options["Use NNUE"]; useNNUE = Options["Use NNUE"];
if (!useNNUE) std::string eval_file = std::string(Options["EvalFile"]);
return; if (useNNUE && eval_file_loaded != eval_file)
if (Eval::NNUE::load_eval_file(eval_file))
string eval_file = string(Options["EvalFile"]); eval_file_loaded = eval_file;
if (eval_file.empty())
eval_file = EvalFileDefaultName;
#if defined(DEFAULT_NNUE_DIRECTORY)
#define stringify2(x) #x
#define stringify(x) stringify2(x)
vector<string> dirs = { "<internal>" , "" , CommandLine::binaryDirectory , stringify(DEFAULT_NNUE_DIRECTORY) };
#else
vector<string> dirs = { "<internal>" , "" , CommandLine::binaryDirectory };
#endif
for (string directory : dirs)
if (currentEvalFileName != eval_file)
{
if (directory != "<internal>")
{
ifstream stream(directory + eval_file, ios::binary);
if (load_eval(eval_file, stream))
currentEvalFileName = eval_file;
}
if (directory == "<internal>" && eval_file == EvalFileDefaultName)
{
// C++ way to prepare a buffer for a memory stream
class MemoryBuffer : public basic_streambuf<char> {
public: MemoryBuffer(char* p, size_t n) { setg(p, p, p + n); setp(p, p + n); }
};
MemoryBuffer buffer(const_cast<char*>(reinterpret_cast<const char*>(gEmbeddedNNUEData)),
size_t(gEmbeddedNNUESize));
(void) gEmbeddedNNUEEnd; // Silence warning on unused variable
istream stream(&buffer);
if (load_eval(eval_file, stream))
currentEvalFileName = eval_file;
}
}
} }
/// NNUE::verify() verifies that the last net used was loaded successfully void verify_NNUE() {
void NNUE::verify() {
string eval_file = string(Options["EvalFile"]); std::string eval_file = std::string(Options["EvalFile"]);
if (eval_file.empty()) if (useNNUE && eval_file_loaded != eval_file)
eval_file = EvalFileDefaultName;
if (useNNUE && currentEvalFileName != eval_file)
{ {
std::cerr << "Use of NNUE evaluation, but the file " << eval_file << " was not loaded successfully. "
string msg1 = "If the UCI option \"Use NNUE\" is set to true, network evaluation parameters compatible with the engine must be available."; << "These network evaluation parameters must be available, compatible with this version of the code. "
string msg2 = "The option is set to true, but the network file " + eval_file + " was not loaded successfully."; << "The UCI option EvalFile might need to specify the full path, including the directory/folder name, to the file." << std::endl;
string msg3 = "The UCI option EvalFile might need to specify the full path, including the directory name, to the network file."; std::exit(EXIT_FAILURE);
string msg4 = "The default net can be downloaded from: https://tests.stockfishchess.org/api/nn/" + std::string(EvalFileDefaultName);
string msg5 = "The engine will be terminated now.";
sync_cout << "info string ERROR: " << msg1 << sync_endl;
sync_cout << "info string ERROR: " << msg2 << sync_endl;
sync_cout << "info string ERROR: " << msg3 << sync_endl;
sync_cout << "info string ERROR: " << msg4 << sync_endl;
sync_cout << "info string ERROR: " << msg5 << sync_endl;
exit(EXIT_FAILURE);
} }
if (useNNUE) if (useNNUE)
sync_cout << "info string NNUE evaluation using " << eval_file << " enabled" << sync_endl; sync_cout << "info string NNUE evaluation using " << eval_file << " enabled." << sync_endl;
else else
sync_cout << "info string classical evaluation enabled" << sync_endl; sync_cout << "info string classical evaluation enabled." << sync_endl;
} }
} }
@@ -183,7 +97,7 @@ namespace Trace {
else else
os << scores[t][WHITE] << " | " << scores[t][BLACK]; os << scores[t][WHITE] << " | " << scores[t][BLACK];
os << " | " << scores[t][WHITE] - scores[t][BLACK] << " |\n"; os << " | " << scores[t][WHITE] - scores[t][BLACK] << "\n";
return os; return os;
} }
} }
@@ -193,17 +107,17 @@ using namespace Trace;
namespace { namespace {
// Threshold for lazy and space evaluation // Threshold for lazy and space evaluation
constexpr Value LazyThreshold1 = Value(3631); constexpr Value LazyThreshold1 = Value(1400);
constexpr Value LazyThreshold2 = Value(2084); constexpr Value LazyThreshold2 = Value(1300);
constexpr Value SpaceThreshold = Value(11551); constexpr Value SpaceThreshold = Value(12222);
// KingAttackWeights[PieceType] contains king attack weights by piece type // KingAttackWeights[PieceType] contains king attack weights by piece type
constexpr int KingAttackWeights[PIECE_TYPE_NB] = { 0, 0, 76, 46, 45, 14 }; constexpr int KingAttackWeights[PIECE_TYPE_NB] = { 0, 0, 81, 52, 44, 10 };
// SafeCheck[PieceType][single/multiple] contains safe check bonus by piece type, // SafeCheck[PieceType][single/multiple] contains safe check bonus by piece type,
// higher if multiple safe checks are possible for that piece type. // higher if multiple safe checks are possible for that piece type.
constexpr int SafeCheck[][2] = { constexpr int SafeCheck[][2] = {
{}, {}, {805, 1292}, {650, 984}, {1071, 1886}, {730, 1128} {}, {}, {792, 1283}, {645, 967}, {1084, 1897}, {772, 1119}
}; };
#define S(mg, eg) make_score(mg, eg) #define S(mg, eg) make_score(mg, eg)
@@ -211,76 +125,73 @@ namespace {
// MobilityBonus[PieceType-2][attacked] contains bonuses for middle and end game, // MobilityBonus[PieceType-2][attacked] contains bonuses for middle and end game,
// indexed by piece type and number of attacked squares in the mobility area. // indexed by piece type and number of attacked squares in the mobility area.
constexpr Score MobilityBonus[][32] = { constexpr Score MobilityBonus[][32] = {
{ S(-62,-79), S(-53,-57), S(-12,-31), S( -3,-17), S( 3, 7), S( 12, 13), // Knight { S(-62,-81), S(-53,-56), S(-12,-31), S( -4,-16), S( 3, 5), S( 13, 11), // Knight
S( 21, 16), S( 28, 21), S( 37, 26) }, S( 22, 17), S( 28, 20), S( 33, 25) },
{ S(-47,-59), S(-20,-25), S( 14, -8), S( 29, 12), S( 39, 21), S( 53, 40), // Bishop { S(-48,-59), S(-20,-23), S( 16, -3), S( 26, 13), S( 38, 24), S( 51, 42), // Bishop
S( 53, 56), S( 60, 58), S( 62, 65), S( 69, 72), S( 78, 78), S( 83, 87), S( 55, 54), S( 63, 57), S( 63, 65), S( 68, 73), S( 81, 78), S( 81, 86),
S( 91, 88), S( 96, 98) }, S( 91, 88), S( 98, 97) },
{ S(-60,-82), S(-24,-15), S( 0, 17) ,S( 3, 43), S( 4, 72), S( 14,100), // Rook { S(-60,-78), S(-20,-17), S( 2, 23), S( 3, 39), S( 3, 70), S( 11, 99), // Rook
S( 20,102), S( 30,122), S( 41,133), S(41 ,139), S( 41,153), S( 45,160), S( 22,103), S( 31,121), S( 40,134), S( 40,139), S( 41,158), S( 48,164),
S( 57,165), S( 58,170), S( 67,175) }, S( 57,168), S( 57,169), S( 62,172) },
{ S(-29,-49), S(-16,-29), S( -8, -8), S( -8, 17), S( 18, 39), S( 25, 54), // Queen { S(-30,-48), S(-12,-30), S( -8, -7), S( -9, 19), S( 20, 40), S( 23, 55), // Queen
S( 23, 59), S( 37, 73), S( 41, 76), S( 54, 95), S( 65, 95) ,S( 68,101), S( 23, 59), S( 35, 75), S( 38, 78), S( 53, 96), S( 64, 96), S( 65,100),
S( 69,124), S( 70,128), S( 70,132), S( 70,133) ,S( 71,136), S( 72,140), S( 65,121), S( 66,127), S( 67,131), S( 67,133), S( 72,136), S( 72,141),
S( 74,147), S( 76,149), S( 90,153), S(104,169), S(105,171), S(106,171), S( 77,147), S( 79,150), S( 93,151), S(108,168), S(108,168), S(108,171),
S(112,178), S(114,185), S(114,187), S(119,221) } S(110,182), S(114,182), S(114,192), S(116,219) }
};
// BishopPawns[distance from edge] contains a file-dependent penalty for pawns on
// squares of the same color as our bishop.
constexpr Score BishopPawns[int(FILE_NB) / 2] = {
S(3, 8), S(3, 9), S(2, 7), S(3, 7)
}; };
// KingProtector[knight/bishop] contains penalty for each distance unit to own king // KingProtector[knight/bishop] contains penalty for each distance unit to own king
constexpr Score KingProtector[] = { S(9, 9), S(7, 9) }; constexpr Score KingProtector[] = { S(8, 9), S(6, 9) };
// Outpost[knight/bishop] contains bonuses for each knight or bishop occupying a // Outpost[knight/bishop] contains bonuses for each knight or bishop occupying a
// pawn protected square on rank 4 to 6 which is also safe from a pawn attack. // pawn protected square on rank 4 to 6 which is also safe from a pawn attack.
constexpr Score Outpost[] = { S(54, 34), S(31, 25) }; constexpr Score Outpost[] = { S(56, 36), S(30, 23) };
// PassedRank[Rank] contains a bonus according to the rank of a passed pawn // PassedRank[Rank] contains a bonus according to the rank of a passed pawn
constexpr Score PassedRank[RANK_NB] = { constexpr Score PassedRank[RANK_NB] = {
S(0, 0), S(2, 38), S(15, 36), S(22, 50), S(64, 81), S(166, 184), S(284, 269) S(0, 0), S(10, 28), S(17, 33), S(15, 41), S(62, 72), S(168, 177), S(276, 260)
}; };
constexpr Score RookOnClosedFile = S(10, 5); // RookOnFile[semiopen/open] contains bonuses for each rook when there is
constexpr Score RookOnOpenFile[] = { S(18, 8), S(49, 26) }; // no (friendly) pawn on the rook file.
constexpr Score RookOnFile[] = { S(19, 7), S(48, 29) };
// ThreatByMinor/ByRook[attacked PieceType] contains bonuses according to // ThreatByMinor/ByRook[attacked PieceType] contains bonuses according to
// which piece type attacks which one. Attacks on lesser pieces which are // which piece type attacks which one. Attacks on lesser pieces which are
// pawn-defended are not considered. // pawn-defended are not considered.
constexpr Score ThreatByMinor[PIECE_TYPE_NB] = { constexpr Score ThreatByMinor[PIECE_TYPE_NB] = {
S(0, 0), S(6, 37), S(64, 50), S(82, 57), S(103, 130), S(81, 163) S(0, 0), S(5, 32), S(57, 41), S(77, 56), S(88, 119), S(79, 161)
}; };
constexpr Score ThreatByRook[PIECE_TYPE_NB] = { constexpr Score ThreatByRook[PIECE_TYPE_NB] = {
S(0, 0), S(3, 44), S(36, 71), S(44, 59), S(0, 39), S(60, 39) S(0, 0), S(3, 46), S(37, 68), S(42, 60), S(0, 38), S(58, 41)
}; };
constexpr Value CorneredBishop = Value(50);
// Assorted bonuses and penalties // Assorted bonuses and penalties
constexpr Score UncontestedOutpost = S( 0, 10); constexpr Score BadOutpost = S( -7, 36);
constexpr Score BishopOnKingRing = S( 24, 0); constexpr Score BishopOnKingRing = S( 24, 0);
constexpr Score BishopPawns = S( 3, 7);
constexpr Score BishopXRayPawns = S( 4, 5); constexpr Score BishopXRayPawns = S( 4, 5);
constexpr Score CorneredBishop = S( 50, 50);
constexpr Score FlankAttacks = S( 8, 0); constexpr Score FlankAttacks = S( 8, 0);
constexpr Score Hanging = S( 72, 40); constexpr Score Hanging = S( 69, 36);
constexpr Score KnightOnQueen = S( 16, 11); constexpr Score KnightOnQueen = S( 16, 11);
constexpr Score LongDiagonalBishop = S( 45, 0); constexpr Score LongDiagonalBishop = S( 45, 0);
constexpr Score MinorBehindPawn = S( 18, 3); constexpr Score MinorBehindPawn = S( 18, 3);
constexpr Score PassedFile = S( 13, 8); constexpr Score PassedFile = S( 11, 8);
constexpr Score PawnlessFlank = S( 19, 97); constexpr Score PawnlessFlank = S( 17, 95);
constexpr Score ReachableOutpost = S( 33, 19); constexpr Score QueenInfiltration = S( -2, 14);
constexpr Score RestrictedPiece = S( 6, 7); constexpr Score ReachableOutpost = S( 31, 22);
constexpr Score RestrictedPiece = S( 7, 7);
constexpr Score RookOnKingRing = S( 16, 0); constexpr Score RookOnKingRing = S( 16, 0);
constexpr Score SliderOnQueen = S( 62, 21); constexpr Score RookOnQueenFile = S( 6, 11);
constexpr Score ThreatByKing = S( 24, 87); constexpr Score SliderOnQueen = S( 60, 18);
constexpr Score ThreatByKing = S( 24, 89);
constexpr Score ThreatByPawnPush = S( 48, 39); constexpr Score ThreatByPawnPush = S( 48, 39);
constexpr Score ThreatBySafePawn = S(167, 99); constexpr Score ThreatBySafePawn = S(173, 94);
constexpr Score TrappedRook = S( 55, 13); constexpr Score TrappedRook = S( 55, 13);
constexpr Score WeakQueenProtection = S( 14, 0); constexpr Score WeakQueenProtection = S( 14, 0);
constexpr Score WeakQueen = S( 57, 19); constexpr Score WeakQueen = S( 56, 15);
#undef S #undef S
@@ -371,8 +282,8 @@ namespace {
attackedBy2[Us] = dblAttackByPawn | (attackedBy[Us][KING] & attackedBy[Us][PAWN]); attackedBy2[Us] = dblAttackByPawn | (attackedBy[Us][KING] & attackedBy[Us][PAWN]);
// Init our king safety tables // Init our king safety tables
Square s = make_square(std::clamp(file_of(ksq), FILE_B, FILE_G), Square s = make_square(Utility::clamp(file_of(ksq), FILE_B, FILE_G),
std::clamp(rank_of(ksq), RANK_2, RANK_7)); Utility::clamp(rank_of(ksq), RANK_2, RANK_7));
kingRing[Us] = attacks_bb<KING>(s) | s; kingRing[Us] = attacks_bb<KING>(s) | s;
kingAttackersCount[Them] = popcount(kingRing[Us] & pe->pawn_attacks(Them)); kingAttackersCount[Them] = popcount(kingRing[Us] & pe->pawn_attacks(Them));
@@ -392,16 +303,15 @@ namespace {
constexpr Direction Down = -pawn_push(Us); constexpr Direction Down = -pawn_push(Us);
constexpr Bitboard OutpostRanks = (Us == WHITE ? Rank4BB | Rank5BB | Rank6BB constexpr Bitboard OutpostRanks = (Us == WHITE ? Rank4BB | Rank5BB | Rank6BB
: Rank5BB | Rank4BB | Rank3BB); : Rank5BB | Rank4BB | Rank3BB);
Bitboard b1 = pos.pieces(Us, Pt); const Square* pl = pos.squares<Pt>(Us);
Bitboard b, bb; Bitboard b, bb;
Score score = SCORE_ZERO; Score score = SCORE_ZERO;
attackedBy[Us][Pt] = 0; attackedBy[Us][Pt] = 0;
while (b1) for (Square s = *pl; s != SQ_NONE; s = *++pl)
{ {
Square s = pop_lsb(b1);
// Find attacked squares, including x-ray attacks for bishops and rooks // Find attacked squares, including x-ray attacks for bishops and rooks
b = Pt == BISHOP ? attacks_bb<BISHOP>(s, pos.pieces() ^ pos.pieces(QUEEN)) b = Pt == BISHOP ? attacks_bb<BISHOP>(s, pos.pieces() ^ pos.pieces(QUEEN))
: Pt == ROOK ? attacks_bb< ROOK>(s, pos.pieces() ^ pos.pieces(QUEEN) ^ pos.pieces(Us, ROOK)) : Pt == ROOK ? attacks_bb< ROOK>(s, pos.pieces() ^ pos.pieces(QUEEN) ^ pos.pieces(Us, ROOK))
@@ -428,21 +338,21 @@ namespace {
score += BishopOnKingRing; score += BishopOnKingRing;
int mob = popcount(b & mobilityArea[Us]); int mob = popcount(b & mobilityArea[Us]);
mobility[Us] += MobilityBonus[Pt - 2][mob]; mobility[Us] += MobilityBonus[Pt - 2][mob];
if (Pt == BISHOP || Pt == KNIGHT) if (Pt == BISHOP || Pt == KNIGHT)
{ {
// Bonus if the piece is on an outpost square or can reach one // Bonus if the piece is on an outpost square or can reach one
// Bonus for knights (UncontestedOutpost) if few relevant targets // Reduced bonus for knights (BadOutpost) if few relevant targets
bb = OutpostRanks & (attackedBy[Us][PAWN] | shift<Down>(pos.pieces(PAWN))) bb = OutpostRanks & attackedBy[Us][PAWN] & ~pe->pawn_attacks_span(Them);
& ~pe->pawn_attacks_span(Them);
Bitboard targets = pos.pieces(Them) & ~pos.pieces(PAWN); Bitboard targets = pos.pieces(Them) & ~pos.pieces(PAWN);
if ( Pt == KNIGHT if ( Pt == KNIGHT
&& bb & s & ~CenterFiles // on a side outpost && bb & s & ~CenterFiles // on a side outpost
&& !(b & targets) // no relevant attacks && !(b & targets) // no relevant attacks
&& (!more_than_one(targets & (s & QueenSide ? QueenSide : KingSide)))) && (!more_than_one(targets & (s & QueenSide ? QueenSide : KingSide))))
score += UncontestedOutpost * popcount(pos.pieces(PAWN) & (s & QueenSide ? QueenSide : KingSide)); score += BadOutpost;
else if (bb & s) else if (bb & s)
score += Outpost[Pt == BISHOP]; score += Outpost[Pt == BISHOP];
else if (Pt == KNIGHT && bb & b & ~pos.pieces(Us)) else if (Pt == KNIGHT && bb & b & ~pos.pieces(Us))
@@ -455,14 +365,14 @@ namespace {
// Penalty if the piece is far from the king // Penalty if the piece is far from the king
score -= KingProtector[Pt == BISHOP] * distance(pos.square<KING>(Us), s); score -= KingProtector[Pt == BISHOP] * distance(pos.square<KING>(Us), s);
if constexpr (Pt == BISHOP) if (Pt == BISHOP)
{ {
// Penalty according to the number of our pawns on the same color square as the // Penalty according to the number of our pawns on the same color square as the
// bishop, bigger when the center files are blocked with pawns and smaller // bishop, bigger when the center files are blocked with pawns and smaller
// when the bishop is outside the pawn chain. // when the bishop is outside the pawn chain.
Bitboard blocked = pos.pieces(Us, PAWN) & shift<Down>(pos.pieces()); Bitboard blocked = pos.pieces(Us, PAWN) & shift<Down>(pos.pieces());
score -= BishopPawns[edge_distance(file_of(s))] * pos.pawns_on_same_color_squares(Us, s) score -= BishopPawns * pos.pawns_on_same_color_squares(Us, s)
* (!(attackedBy[Us][PAWN] & s) + popcount(blocked & CenterFiles)); * (!(attackedBy[Us][PAWN] & s) + popcount(blocked & CenterFiles));
// Penalty for all enemy pawns x-rayed // Penalty for all enemy pawns x-rayed
@@ -480,48 +390,45 @@ namespace {
{ {
Direction d = pawn_push(Us) + (file_of(s) == FILE_A ? EAST : WEST); Direction d = pawn_push(Us) + (file_of(s) == FILE_A ? EAST : WEST);
if (pos.piece_on(s + d) == make_piece(Us, PAWN)) if (pos.piece_on(s + d) == make_piece(Us, PAWN))
score -= !pos.empty(s + d + pawn_push(Us)) ? 4 * make_score(CorneredBishop, CorneredBishop) score -= !pos.empty(s + d + pawn_push(Us)) ? CorneredBishop * 4
: 3 * make_score(CorneredBishop, CorneredBishop); : pos.piece_on(s + d + d) == make_piece(Us, PAWN) ? CorneredBishop * 2
: CorneredBishop;
} }
} }
} }
if constexpr (Pt == ROOK) if (Pt == ROOK)
{ {
// Bonuses for rook on a (semi-)open or closed file // Bonus for rook on the same file as a queen
if (pos.is_on_semiopen_file(Us, s)) if (file_bb(s) & pos.pieces(QUEEN))
{ score += RookOnQueenFile;
score += RookOnOpenFile[pos.is_on_semiopen_file(Them, s)];
}
else
{
// If our pawn on this file is blocked, increase penalty
if ( pos.pieces(Us, PAWN)
& shift<Down>(pos.pieces())
& file_bb(s))
{
score -= RookOnClosedFile;
}
// Penalty when trapped by the king, even more if the king cannot castle // Bonus for rook on an open or semi-open file
if (mob <= 3) if (pos.is_on_semiopen_file(Us, s))
{ score += RookOnFile[pos.is_on_semiopen_file(Them, s)];
File kf = file_of(pos.square<KING>(Us));
if ((kf < FILE_E) == (file_of(s) < kf)) // Penalty when trapped by the king, even more if the king cannot castle
score -= TrappedRook * (1 + !pos.castling_rights(Us)); else if (mob <= 3)
} {
File kf = file_of(pos.square<KING>(Us));
if ((kf < FILE_E) == (file_of(s) < kf))
score -= TrappedRook * (1 + !pos.castling_rights(Us));
} }
} }
if constexpr (Pt == QUEEN) if (Pt == QUEEN)
{ {
// Penalty if any relative pin or discovered attack against the queen // Penalty if any relative pin or discovered attack against the queen
Bitboard queenPinners; Bitboard queenPinners;
if (pos.slider_blockers(pos.pieces(Them, ROOK, BISHOP), s, queenPinners)) if (pos.slider_blockers(pos.pieces(Them, ROOK, BISHOP), s, queenPinners))
score -= WeakQueen; score -= WeakQueen;
// Bonus for queen on weak square in enemy camp
if (relative_rank(Us, s) > RANK_4 && (~pe->pawn_attacks_span(Them) & s))
score += QueenInfiltration;
} }
} }
if constexpr (T) if (T)
Trace::add(Pt, Us, score); Trace::add(Pt, Us, score);
return score; return score;
@@ -597,18 +504,18 @@ namespace {
int kingFlankAttack = popcount(b1) + popcount(b2); int kingFlankAttack = popcount(b1) + popcount(b2);
int kingFlankDefense = popcount(b3); int kingFlankDefense = popcount(b3);
kingDanger += kingAttackersCount[Them] * kingAttackersWeight[Them] // (~10 Elo) kingDanger += kingAttackersCount[Them] * kingAttackersWeight[Them]
+ 183 * popcount(kingRing[Us] & weak) // (~15 Elo) + 185 * popcount(kingRing[Us] & weak)
+ 148 * popcount(unsafeChecks) // (~4 Elo) + 148 * popcount(unsafeChecks)
+ 98 * popcount(pos.blockers_for_king(Us)) // (~2 Elo) + 98 * popcount(pos.blockers_for_king(Us))
+ 69 * kingAttacksCount[Them] // (~0.5 Elo) + 69 * kingAttacksCount[Them]
+ 3 * kingFlankAttack * kingFlankAttack / 8 // (~0.5 Elo) + 3 * kingFlankAttack * kingFlankAttack / 8
+ mg_value(mobility[Them] - mobility[Us]) // (~0.5 Elo) + mg_value(mobility[Them] - mobility[Us])
- 873 * !pos.count<QUEEN>(Them) // (~24 Elo) - 873 * !pos.count<QUEEN>(Them)
- 100 * bool(attackedBy[Us][KNIGHT] & attackedBy[Us][KING]) // (~5 Elo) - 100 * bool(attackedBy[Us][KNIGHT] & attackedBy[Us][KING])
- 6 * mg_value(score) / 8 // (~8 Elo) - 6 * mg_value(score) / 8
- 4 * kingFlankDefense // (~5 Elo) - 4 * kingFlankDefense
+ 37; // (~0.5 Elo) + 37;
// Transform the kingDanger units into a Score, and subtract it from the evaluation // Transform the kingDanger units into a Score, and subtract it from the evaluation
if (kingDanger > 100) if (kingDanger > 100)
@@ -621,7 +528,7 @@ namespace {
// Penalty if king flank is under attack, potentially moving toward the king // Penalty if king flank is under attack, potentially moving toward the king
score -= FlankAttacks * kingFlankAttack; score -= FlankAttacks * kingFlankAttack;
if constexpr (T) if (T)
Trace::add(KING, Us, score); Trace::add(KING, Us, score);
return score; return score;
@@ -660,11 +567,11 @@ namespace {
{ {
b = (defended | weak) & (attackedBy[Us][KNIGHT] | attackedBy[Us][BISHOP]); b = (defended | weak) & (attackedBy[Us][KNIGHT] | attackedBy[Us][BISHOP]);
while (b) while (b)
score += ThreatByMinor[type_of(pos.piece_on(pop_lsb(b)))]; score += ThreatByMinor[type_of(pos.piece_on(pop_lsb(&b)))];
b = weak & attackedBy[Us][ROOK]; b = weak & attackedBy[Us][ROOK];
while (b) while (b)
score += ThreatByRook[type_of(pos.piece_on(pop_lsb(b)))]; score += ThreatByRook[type_of(pos.piece_on(pop_lsb(&b)))];
if (weak & attackedBy[Us][KING]) if (weak & attackedBy[Us][KING])
score += ThreatByKing; score += ThreatByKing;
@@ -722,7 +629,7 @@ namespace {
score += SliderOnQueen * popcount(b & safe & attackedBy2[Us]) * (1 + queenImbalance); score += SliderOnQueen * popcount(b & safe & attackedBy2[Us]) * (1 + queenImbalance);
} }
if constexpr (T) if (T)
Trace::add(THREAT, Us, score); Trace::add(THREAT, Us, score);
return score; return score;
@@ -762,7 +669,7 @@ namespace {
while (b) while (b)
{ {
Square s = pop_lsb(b); Square s = pop_lsb(&b);
assert(!(pos.pieces(Them, PAWN) & forward_file_bb(Us, s + Up))); assert(!(pos.pieces(Them, PAWN) & forward_file_bb(Us, s + Up)));
@@ -776,8 +683,8 @@ namespace {
Square blockSq = s + Up; Square blockSq = s + Up;
// Adjust bonus based on the king's proximity // Adjust bonus based on the king's proximity
bonus += make_score(0, ( king_proximity(Them, blockSq) * 19 / 4 bonus += make_score(0, ( (king_proximity(Them, blockSq) * 19) / 4
- king_proximity(Us, blockSq) * 2) * w); - king_proximity(Us, blockSq) * 2) * w);
// If blockSq is not the queening square then consider also a second push // If blockSq is not the queening square then consider also a second push
if (r != RANK_7) if (r != RANK_7)
@@ -792,16 +699,14 @@ namespace {
bb = forward_file_bb(Them, s) & pos.pieces(ROOK, QUEEN); bb = forward_file_bb(Them, s) & pos.pieces(ROOK, QUEEN);
if (!(pos.pieces(Them) & bb)) if (!(pos.pieces(Them) & bb))
unsafeSquares &= attackedBy[Them][ALL_PIECES] | pos.pieces(Them); unsafeSquares &= attackedBy[Them][ALL_PIECES];
// If there are no enemy pieces or attacks on passed pawn span, assign a big bonus. // If there are no enemy attacks on passed pawn span, assign a big bonus.
// Or if there is some, but they are all attacked by our pawns, assign a bit smaller bonus.
// Otherwise assign a smaller bonus if the path to queen is not attacked // Otherwise assign a smaller bonus if the path to queen is not attacked
// and even smaller bonus if it is attacked but block square is not. // and even smaller bonus if it is attacked but block square is not.
int k = !unsafeSquares ? 36 : int k = !unsafeSquares ? 35 :
!(unsafeSquares & ~attackedBy[Us][PAWN]) ? 30 : !(unsafeSquares & squaresToQueen) ? 20 :
!(unsafeSquares & squaresToQueen) ? 17 : !(unsafeSquares & blockSq) ? 9 :
!(unsafeSquares & blockSq) ? 7 :
0 ; 0 ;
// Assign a larger bonus if the block square is defended // Assign a larger bonus if the block square is defended
@@ -815,7 +720,7 @@ namespace {
score += bonus - PassedFile * edge_distance(file_of(s)); score += bonus - PassedFile * edge_distance(file_of(s));
} }
if constexpr (T) if (T)
Trace::add(PASSED, Us, score); Trace::add(PASSED, Us, score);
return score; return score;
@@ -823,7 +728,7 @@ namespace {
// Evaluation::space() computes a space evaluation for a given side, aiming to improve game // Evaluation::space() computes a space evaluation for a given side, aiming to improve game
// play in the opening. It is based on the number of safe squares on the four central files // play in the opening. It is based on the number of safe squares on the 4 central files
// on ranks 2 to 4. Completely safe squares behind a friendly pawn are counted twice. // on ranks 2 to 4. Completely safe squares behind a friendly pawn are counted twice.
// Finally, the space bonus is multiplied by a weight which decreases according to occupancy. // Finally, the space bonus is multiplied by a weight which decreases according to occupancy.
@@ -850,13 +755,11 @@ namespace {
behind |= shift<Down>(behind); behind |= shift<Down>(behind);
behind |= shift<Down+Down>(behind); behind |= shift<Down+Down>(behind);
// Compute space score based on the number of safe squares and number of our pieces
// increased with number of total blocked pawns in position.
int bonus = popcount(safe) + popcount(behind & safe & ~attackedBy[Them][ALL_PIECES]); int bonus = popcount(safe) + popcount(behind & safe & ~attackedBy[Them][ALL_PIECES]);
int weight = pos.count<ALL_PIECES>(Us) - 3 + std::min(pe->blocked_count(), 9); int weight = pos.count<ALL_PIECES>(Us) - 3 + std::min(pe->blocked_count(), 9);
Score score = make_score(bonus * weight * weight / 16, 0); Score score = make_score(bonus * weight * weight / 16, 0);
if constexpr (T) if (T)
Trace::add(SPACE, Us, score); Trace::add(SPACE, Us, score);
return score; return score;
@@ -871,7 +774,7 @@ namespace {
Value Evaluation<T>::winnable(Score score) const { Value Evaluation<T>::winnable(Score score) const {
int outflanking = distance<File>(pos.square<KING>(WHITE), pos.square<KING>(BLACK)) int outflanking = distance<File>(pos.square<KING>(WHITE), pos.square<KING>(BLACK))
+ int(rank_of(pos.square<KING>(WHITE)) - rank_of(pos.square<KING>(BLACK))); - distance<Rank>(pos.square<KING>(WHITE), pos.square<KING>(BLACK));
bool pawnsOnBothFlanks = (pos.pieces(PAWN) & QueenSide) bool pawnsOnBothFlanks = (pos.pieces(PAWN) & QueenSide)
&& (pos.pieces(PAWN) & KingSide); && (pos.pieces(PAWN) & KingSide);
@@ -898,7 +801,7 @@ namespace {
// Now apply the bonus: note that we find the attacking side by extracting the // Now apply the bonus: note that we find the attacking side by extracting the
// sign of the midgame or endgame values, and that we carefully cap the bonus // sign of the midgame or endgame values, and that we carefully cap the bonus
// so that the midgame and endgame scores do not change sign after the bonus. // so that the midgame and endgame scores do not change sign after the bonus.
int u = ((mg > 0) - (mg < 0)) * std::clamp(complexity + 50, -abs(mg), 0); int u = ((mg > 0) - (mg < 0)) * Utility::clamp(complexity + 50, -abs(mg), 0);
int v = ((eg > 0) - (eg < 0)) * std::max(complexity, -abs(eg)); int v = ((eg > 0) - (eg < 0)) * std::max(complexity, -abs(eg));
mg += u; mg += u;
@@ -908,42 +811,28 @@ namespace {
Color strongSide = eg > VALUE_DRAW ? WHITE : BLACK; Color strongSide = eg > VALUE_DRAW ? WHITE : BLACK;
int sf = me->scale_factor(pos, strongSide); int sf = me->scale_factor(pos, strongSide);
// If scale factor is not already specific, scale up/down via general heuristics // If scale factor is not already specific, scale down via general heuristics
if (sf == SCALE_FACTOR_NORMAL) if (sf == SCALE_FACTOR_NORMAL)
{ {
if (pos.opposite_bishops()) if (pos.opposite_bishops())
{ {
// For pure opposite colored bishops endgames use scale factor
// based on the number of passed pawns of the strong side.
if ( pos.non_pawn_material(WHITE) == BishopValueMg if ( pos.non_pawn_material(WHITE) == BishopValueMg
&& pos.non_pawn_material(BLACK) == BishopValueMg) && pos.non_pawn_material(BLACK) == BishopValueMg)
sf = 18 + 4 * popcount(pe->passed_pawns(strongSide)); sf = 18 + 4 * popcount(pe->passed_pawns(strongSide));
// For every other opposite colored bishops endgames use scale factor
// based on the number of all pieces of the strong side.
else else
sf = 22 + 3 * pos.count<ALL_PIECES>(strongSide); sf = 22 + 3 * pos.count<ALL_PIECES>(strongSide);
} }
// For rook endgames with strong side not having overwhelming pawn number advantage
// and its pawns being on one flank and weak side protecting its pieces with a king
// use lower scale factor.
else if ( pos.non_pawn_material(WHITE) == RookValueMg else if ( pos.non_pawn_material(WHITE) == RookValueMg
&& pos.non_pawn_material(BLACK) == RookValueMg && pos.non_pawn_material(BLACK) == RookValueMg
&& pos.count<PAWN>(strongSide) - pos.count<PAWN>(~strongSide) <= 1 && pos.count<PAWN>(strongSide) - pos.count<PAWN>(~strongSide) <= 1
&& bool(KingSide & pos.pieces(strongSide, PAWN)) != bool(QueenSide & pos.pieces(strongSide, PAWN)) && bool(KingSide & pos.pieces(strongSide, PAWN)) != bool(QueenSide & pos.pieces(strongSide, PAWN))
&& (attacks_bb<KING>(pos.square<KING>(~strongSide)) & pos.pieces(~strongSide, PAWN))) && (attacks_bb<KING>(pos.square<KING>(~strongSide)) & pos.pieces(~strongSide, PAWN)))
sf = 36; sf = 36;
// For queen vs no queen endgames use scale factor
// based on number of minors of side that doesn't have queen.
else if (pos.count<QUEEN>() == 1) else if (pos.count<QUEEN>() == 1)
sf = 37 + 3 * (pos.count<QUEEN>(WHITE) == 1 ? pos.count<BISHOP>(BLACK) + pos.count<KNIGHT>(BLACK) sf = 37 + 3 * (pos.count<QUEEN>(WHITE) == 1 ? pos.count<BISHOP>(BLACK) + pos.count<KNIGHT>(BLACK)
: pos.count<BISHOP>(WHITE) + pos.count<KNIGHT>(WHITE)); : pos.count<BISHOP>(WHITE) + pos.count<KNIGHT>(WHITE));
// In every other case use scale factor based on
// the number of pawns of the strong side reduced if pawns are on a single flank.
else else
sf = std::min(sf, 36 + 7 * pos.count<PAWN>(strongSide)) - 4 * !pawnsOnBothFlanks; sf = std::min(sf, 36 + 7 * pos.count<PAWN>(strongSide));
// Reduce scale factor in case of pawns being on a single flank
sf -= 4 * !pawnsOnBothFlanks;
} }
// Interpolate between the middlegame and (scaled by 'sf') endgame score // Interpolate between the middlegame and (scaled by 'sf') endgame score
@@ -951,7 +840,7 @@ namespace {
+ eg * int(PHASE_MIDGAME - me->game_phase()) * ScaleFactor(sf) / SCALE_FACTOR_NORMAL; + eg * int(PHASE_MIDGAME - me->game_phase()) * ScaleFactor(sf) / SCALE_FACTOR_NORMAL;
v /= PHASE_MIDGAME; v /= PHASE_MIDGAME;
if constexpr (T) if (T)
{ {
Trace::add(WINNABLE, make_score(u, eg * ScaleFactor(sf) / SCALE_FACTOR_NORMAL - eg_value(score))); Trace::add(WINNABLE, make_score(u, eg * ScaleFactor(sf) / SCALE_FACTOR_NORMAL - eg_value(score)));
Trace::add(TOTAL, make_score(mg, eg * ScaleFactor(sf) / SCALE_FACTOR_NORMAL)); Trace::add(TOTAL, make_score(mg, eg * ScaleFactor(sf) / SCALE_FACTOR_NORMAL));
@@ -981,7 +870,7 @@ namespace {
// Initialize score by reading the incrementally updated scores included in // Initialize score by reading the incrementally updated scores included in
// the position object (material + piece square tables) and the material // the position object (material + piece square tables) and the material
// imbalance. Score is computed internally from the white point of view. // imbalance. Score is computed internally from the white point of view.
Score score = pos.psq_score() + me->imbalance() + pos.this_thread()->trend; Score score = pos.psq_score() + me->imbalance() + pos.this_thread()->contempt;
// Probe the pawn hash table // Probe the pawn hash table
pe = Pawns::probe(pos); pe = Pawns::probe(pos);
@@ -989,9 +878,7 @@ namespace {
// Early exit if score is high // Early exit if score is high
auto lazy_skip = [&](Value lazyThreshold) { auto lazy_skip = [&](Value lazyThreshold) {
return abs(mg_value(score) + eg_value(score)) > lazyThreshold return abs(mg_value(score) + eg_value(score)) / 2 > lazyThreshold + pos.non_pawn_material() / 64;
+ std::abs(pos.this_thread()->bestValue) * 5 / 4
+ pos.non_pawn_material() / 32;
}; };
if (lazy_skip(LazyThreshold1)) if (lazy_skip(LazyThreshold1))
@@ -1025,7 +912,7 @@ make_v:
Value v = winnable(score); Value v = winnable(score);
// In case of tracing add all remaining individual evaluation terms // In case of tracing add all remaining individual evaluation terms
if constexpr (T) if (T)
{ {
Trace::add(MATERIAL, pos.psq_score()); Trace::add(MATERIAL, pos.psq_score());
Trace::add(IMBALANCE, me->imbalance()); Trace::add(IMBALANCE, me->imbalance());
@@ -1037,44 +924,15 @@ make_v:
v = (v / 16) * 16; v = (v / 16) * 16;
// Side to move point of view // Side to move point of view
v = (pos.side_to_move() == WHITE ? v : -v); v = (pos.side_to_move() == WHITE ? v : -v) + Tempo;
// Damp down the evaluation linearly when shuffling
v = v * (100 - pos.rule50_count()) / 100;
return v; return v;
} }
} // namespace
/// Fisher Random Chess: correction for cornered bishops, to fix chess960 play with NNUE
Value fix_FRC(const Position& pos) {
constexpr Bitboard Corners = 1ULL << SQ_A1 | 1ULL << SQ_H1 | 1ULL << SQ_A8 | 1ULL << SQ_H8;
if (!(pos.pieces(BISHOP) & Corners))
return VALUE_ZERO;
int correction = 0;
if ( pos.piece_on(SQ_A1) == W_BISHOP
&& pos.piece_on(SQ_B2) == W_PAWN)
correction -= CorneredBishop;
if ( pos.piece_on(SQ_H1) == W_BISHOP
&& pos.piece_on(SQ_G2) == W_PAWN)
correction -= CorneredBishop;
if ( pos.piece_on(SQ_A8) == B_BISHOP
&& pos.piece_on(SQ_B7) == B_PAWN)
correction += CorneredBishop;
if ( pos.piece_on(SQ_H8) == B_BISHOP
&& pos.piece_on(SQ_G7) == B_PAWN)
correction += CorneredBishop;
return pos.side_to_move() == WHITE ? Value(3 * correction)
: -Value(3 * correction);
}
} // namespace Eval
/// evaluate() is the evaluator for the outer world. It returns a static /// evaluate() is the evaluator for the outer world. It returns a static
@@ -1082,43 +940,10 @@ make_v:
Value Eval::evaluate(const Position& pos) { Value Eval::evaluate(const Position& pos) {
Value v; if (Eval::useNNUE)
bool useClassical = false; return NNUE::evaluate(pos);
else
// Deciding between classical and NNUE eval (~10 Elo): for high PSQ imbalance we use classical, return Evaluation<NO_TRACE>(pos).value();
// but we switch to NNUE during long shuffling or with high material on the board.
if ( !useNNUE
|| ((pos.this_thread()->depth > 9 || pos.count<ALL_PIECES>() > 7) &&
abs(eg_value(pos.psq_score())) * 5 > (856 + pos.non_pawn_material() / 64) * (10 + pos.rule50_count())))
{
v = Evaluation<NO_TRACE>(pos).value(); // classical
useClassical = abs(v) >= 297;
}
// If result of a classical evaluation is much lower than threshold fall back to NNUE
if (useNNUE && !useClassical)
{
Value nnue = NNUE::evaluate(pos, true); // NNUE
int scale = 1036 + 22 * pos.non_pawn_material() / 1024;
Color stm = pos.side_to_move();
Value optimism = pos.this_thread()->optimism[stm];
Value psq = (stm == WHITE ? 1 : -1) * eg_value(pos.psq_score());
int complexity = 35 * abs(nnue - psq) / 256;
optimism = optimism * (44 + complexity) / 31;
v = (nnue + optimism) * scale / 1024 - optimism;
if (pos.is_chess960())
v += fix_FRC(pos);
}
// Damp down the evaluation linearly when shuffling
v = v * (195 - pos.rule50_count()) / 211;
// Guarantee evaluation does not hit the tablebase range
v = std::clamp(v, VALUE_TB_LOSS_IN_MAX_PLY + 1, VALUE_TB_WIN_IN_MAX_PLY - 1);
return v;
} }
/// trace() is like evaluate(), but instead of returning a value, it returns /// trace() is like evaluate(), but instead of returning a value, it returns
@@ -1126,7 +951,7 @@ Value Eval::evaluate(const Position& pos) {
/// descriptions and values of each evaluation term. Useful for debugging. /// descriptions and values of each evaluation term. Useful for debugging.
/// Trace scores are from white's point of view /// Trace scores are from white's point of view
std::string Eval::trace(Position& pos) { std::string Eval::trace(const Position& pos) {
if (pos.checkers()) if (pos.checkers())
return "Final evaluation: none (in check)"; return "Final evaluation: none (in check)";
@@ -1136,62 +961,42 @@ std::string Eval::trace(Position& pos) {
Value v; Value v;
std::memset(scores, 0, sizeof(scores));
// Reset any global variable used in eval
pos.this_thread()->depth = 0;
pos.this_thread()->trend = SCORE_ZERO;
pos.this_thread()->bestValue = VALUE_ZERO;
pos.this_thread()->optimism[WHITE] = VALUE_ZERO;
pos.this_thread()->optimism[BLACK] = VALUE_ZERO;
v = Evaluation<TRACE>(pos).value();
ss << std::showpoint << std::noshowpos << std::fixed << std::setprecision(2)
<< " Contributing terms for the classical eval:\n"
<< "+------------+-------------+-------------+-------------+\n"
<< "| Term | White | Black | Total |\n"
<< "| | MG EG | MG EG | MG EG |\n"
<< "+------------+-------------+-------------+-------------+\n"
<< "| Material | " << Term(MATERIAL)
<< "| Imbalance | " << Term(IMBALANCE)
<< "| Pawns | " << Term(PAWN)
<< "| Knights | " << Term(KNIGHT)
<< "| Bishops | " << Term(BISHOP)
<< "| Rooks | " << Term(ROOK)
<< "| Queens | " << Term(QUEEN)
<< "| Mobility | " << Term(MOBILITY)
<< "|King safety | " << Term(KING)
<< "| Threats | " << Term(THREAT)
<< "| Passed | " << Term(PASSED)
<< "| Space | " << Term(SPACE)
<< "| Winnable | " << Term(WINNABLE)
<< "+------------+-------------+-------------+-------------+\n"
<< "| Total | " << Term(TOTAL)
<< "+------------+-------------+-------------+-------------+\n";
if (Eval::useNNUE)
ss << '\n' << NNUE::trace(pos) << '\n';
ss << std::showpoint << std::showpos << std::fixed << std::setprecision(2) << std::setw(15);
v = pos.side_to_move() == WHITE ? v : -v;
ss << "\nClassical evaluation " << to_cp(v) << " (white side)\n";
if (Eval::useNNUE) if (Eval::useNNUE)
{ {
v = NNUE::evaluate(pos, false); v = NNUE::evaluate(pos);
v = pos.side_to_move() == WHITE ? v : -v; }
ss << "NNUE evaluation " << to_cp(v) << " (white side)\n"; else
{
std::memset(scores, 0, sizeof(scores));
pos.this_thread()->contempt = SCORE_ZERO; // Reset any dynamic contempt
v = Evaluation<TRACE>(pos).value();
ss << std::showpoint << std::noshowpos << std::fixed << std::setprecision(2)
<< " Term | White | Black | Total \n"
<< " | MG EG | MG EG | MG EG \n"
<< " ------------+-------------+-------------+------------\n"
<< " Material | " << Term(MATERIAL)
<< " Imbalance | " << Term(IMBALANCE)
<< " Pawns | " << Term(PAWN)
<< " Knights | " << Term(KNIGHT)
<< " Bishops | " << Term(BISHOP)
<< " Rooks | " << Term(ROOK)
<< " Queens | " << Term(QUEEN)
<< " Mobility | " << Term(MOBILITY)
<< " King safety | " << Term(KING)
<< " Threats | " << Term(THREAT)
<< " Passed | " << Term(PASSED)
<< " Space | " << Term(SPACE)
<< " Winnable | " << Term(WINNABLE)
<< " ------------+-------------+-------------+------------\n"
<< " Total | " << Term(TOTAL);
} }
v = evaluate(pos);
v = pos.side_to_move() == WHITE ? v : -v; v = pos.side_to_move() == WHITE ? v : -v;
ss << "Final evaluation " << to_cp(v) << " (white side)";
if (Eval::useNNUE) ss << "\nFinal evaluation: " << to_cp(v) << " (white side)\n";
ss << " [with scaled NNUE, hybrid, ...]";
ss << "\n";
return ss.str(); return ss.str();
} }
} // namespace Stockfish
+9 -22
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -20,43 +20,30 @@
#define EVALUATE_H_INCLUDED #define EVALUATE_H_INCLUDED
#include <string> #include <string>
#include <optional>
#include "types.h" #include "types.h"
namespace Stockfish {
class Position; class Position;
namespace Eval { namespace Eval {
std::string trace(Position& pos); std::string trace(const Position& pos);
Value evaluate(const Position& pos); Value evaluate(const Position& pos);
extern bool useNNUE; extern bool useNNUE;
extern std::string currentEvalFileName; extern std::string eval_file_loaded;
void init_NNUE();
// The default net name MUST follow the format nn-[SHA256 first 12 digits].nnue void verify_NNUE();
// for the build process (profile-build and fishtest) to work. Do not change the
// name of the macro, as it is used in the Makefile.
#define EvalFileDefaultName "nn-6877cd24400e.nnue"
namespace NNUE { namespace NNUE {
std::string trace(Position& pos); Value evaluate(const Position& pos);
Value evaluate(const Position& pos, bool adjusted = false); Value compute_eval(const Position& pos);
void update_eval(const Position& pos);
void init(); bool load_eval_file(const std::string& evalFile);
void verify();
bool load_eval(std::string name, std::istream& stream);
bool save_eval(std::ostream& stream);
bool save_eval(const std::optional<std::string>& filename);
} // namespace NNUE } // namespace NNUE
} // namespace Eval } // namespace Eval
} // namespace Stockfish
#endif // #ifndef EVALUATE_H_INCLUDED #endif // #ifndef EVALUATE_H_INCLUDED
-26
View File
@@ -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 from 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 concatenating 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
+6 -6
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -21,20 +21,20 @@
#include "bitboard.h" #include "bitboard.h"
#include "endgame.h" #include "endgame.h"
#include "position.h" #include "position.h"
#include "psqt.h"
#include "search.h" #include "search.h"
#include "syzygy/tbprobe.h"
#include "thread.h" #include "thread.h"
#include "tt.h" #include "tt.h"
#include "uci.h" #include "uci.h"
#include "syzygy/tbprobe.h"
using namespace Stockfish; namespace PSQT {
void init();
}
int main(int argc, char* argv[]) { int main(int argc, char* argv[]) {
std::cout << engine_info() << std::endl; std::cout << engine_info() << std::endl;
CommandLine::init(argc, argv);
UCI::init(Options); UCI::init(Options);
Tune::init(); Tune::init();
PSQT::init(); PSQT::init();
@@ -44,7 +44,7 @@ int main(int argc, char* argv[]) {
Endgames::init(); Endgames::init();
Threads.set(size_t(Options["Threads"])); Threads.set(size_t(Options["Threads"]));
Search::clear(); // After threads are up Search::clear(); // After threads are up
Eval::NNUE::init(); Eval::init_NNUE();
UCI::loop(argc, argv); UCI::loop(argc, argv);
+24 -33
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -24,39 +24,32 @@
using namespace std; using namespace std;
namespace Stockfish {
namespace { namespace {
#define S(mg, eg) make_score(mg, eg)
// Polynomial material imbalance parameters // Polynomial material imbalance parameters
// One Score parameter for each pair (our piece, another of our pieces) constexpr int QuadraticOurs[][PIECE_TYPE_NB] = {
constexpr Score QuadraticOurs[][PIECE_TYPE_NB] = { // OUR PIECES
// OUR PIECE 2 // pair pawn knight bishop rook queen
// bishop pair pawn knight bishop rook queen {1438 }, // Bishop pair
{S(1419, 1455) }, // Bishop pair { 40, 38 }, // Pawn
{S( 101, 28), S( 37, 39) }, // Pawn { 32, 255, -62 }, // Knight OUR PIECES
{S( 57, 64), S(249, 187), S(-49, -62) }, // Knight OUR PIECE 1 { 0, 104, 4, 0 }, // Bishop
{S( 0, 0), S(118, 137), S( 10, 27), S( 0, 0) }, // Bishop { -26, -2, 47, 105, -208 }, // Rook
{S( -63, -68), S( -5, 3), S(100, 81), S(132, 118), S(-246, -244) }, // Rook {-189, 24, 117, 133, -134, -6 } // Queen
{S(-210, -211), S( 37, 14), S(147, 141), S(161, 105), S(-158, -174), S(-9,-31) } // Queen
}; };
// One Score parameter for each pair (our piece, their piece) constexpr int QuadraticTheirs[][PIECE_TYPE_NB] = {
constexpr Score QuadraticTheirs[][PIECE_TYPE_NB] = { // THEIR PIECES
// THEIR PIECE // pair pawn knight bishop rook queen
// bishop pair pawn knight bishop rook queen { }, // Bishop pair
{ }, // Bishop pair { 36, }, // Pawn
{S( 33, 30) }, // Pawn { 9, 63, }, // Knight OUR PIECES
{S( 46, 18), S(106, 84) }, // Knight OUR PIECE { 59, 65, 42, }, // Bishop
{S( 75, 35), S( 59, 44), S( 60, 15) }, // Bishop { 46, 39, 24, -24, }, // Rook
{S( 26, 35), S( 6, 22), S( 38, 39), S(-12, -2) }, // Rook { 97, 100, -42, 137, 268, } // Queen
{S( 97, 93), S(100, 163), S(-58, -91), S(112, 192), S(276, 225) } // Queen
}; };
#undef S
// Endgame evaluation and scaling functions are accessed directly and not through // Endgame evaluation and scaling functions are accessed directly and not through
// the function maps because they correspond to more than one material hash key. // the function maps because they correspond to more than one material hash key.
Endgame<KXK> EvaluateKXK[] = { Endgame<KXK>(WHITE), Endgame<KXK>(BLACK) }; Endgame<KXK> EvaluateKXK[] = { Endgame<KXK>(WHITE), Endgame<KXK>(BLACK) };
@@ -74,7 +67,7 @@ namespace {
bool is_KBPsK(const Position& pos, Color us) { bool is_KBPsK(const Position& pos, Color us) {
return pos.non_pawn_material(us) == BishopValueMg return pos.non_pawn_material(us) == BishopValueMg
&& pos.count<PAWN>(us) >= 1; && pos.count<PAWN >(us) >= 1;
} }
bool is_KQKRPs(const Position& pos, Color us) { bool is_KQKRPs(const Position& pos, Color us) {
@@ -89,11 +82,11 @@ namespace {
/// piece type for both colors. /// piece type for both colors.
template<Color Us> template<Color Us>
Score imbalance(const int pieceCount[][PIECE_TYPE_NB]) { int imbalance(const int pieceCount[][PIECE_TYPE_NB]) {
constexpr Color Them = ~Us; constexpr Color Them = ~Us;
Score bonus = SCORE_ZERO; int bonus = 0;
// Second-degree polynomial material imbalance, by Tord Romstad // Second-degree polynomial material imbalance, by Tord Romstad
for (int pt1 = NO_PIECE_TYPE; pt1 <= QUEEN; ++pt1) for (int pt1 = NO_PIECE_TYPE; pt1 <= QUEEN; ++pt1)
@@ -137,7 +130,7 @@ Entry* probe(const Position& pos) {
Value npm_w = pos.non_pawn_material(WHITE); Value npm_w = pos.non_pawn_material(WHITE);
Value npm_b = pos.non_pawn_material(BLACK); Value npm_b = pos.non_pawn_material(BLACK);
Value npm = std::clamp(npm_w + npm_b, EndgameLimit, MidgameLimit); Value npm = Utility::clamp(npm_w + npm_b, EndgameLimit, MidgameLimit);
// Map total non-pawn material into [PHASE_ENDGAME, PHASE_MIDGAME] // Map total non-pawn material into [PHASE_ENDGAME, PHASE_MIDGAME]
e->gamePhase = Phase(((npm - EndgameLimit) * PHASE_MIDGAME) / (MidgameLimit - EndgameLimit)); e->gamePhase = Phase(((npm - EndgameLimit) * PHASE_MIDGAME) / (MidgameLimit - EndgameLimit));
@@ -220,10 +213,8 @@ Entry* probe(const Position& pos) {
{ pos.count<BISHOP>(BLACK) > 1, pos.count<PAWN>(BLACK), pos.count<KNIGHT>(BLACK), { 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) } }; pos.count<BISHOP>(BLACK) , pos.count<ROOK>(BLACK), pos.count<QUEEN >(BLACK) } };
e->score = (imbalance<WHITE>(pieceCount) - imbalance<BLACK>(pieceCount)) / 16; e->value = int16_t((imbalance<WHITE>(pieceCount) - imbalance<BLACK>(pieceCount)) / 16);
return e; return e;
} }
} // namespace Material } // namespace Material
} // namespace Stockfish
+7 -7
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -24,7 +24,7 @@
#include "position.h" #include "position.h"
#include "types.h" #include "types.h"
namespace Stockfish::Material { namespace Material {
/// Material::Entry contains various information about a material configuration. /// Material::Entry contains various information about a material configuration.
/// It contains a material imbalance evaluation, a function pointer to a special /// It contains a material imbalance evaluation, a function pointer to a special
@@ -37,8 +37,8 @@ namespace Stockfish::Material {
struct Entry { struct Entry {
Score imbalance() const { return score; } Score imbalance() const { return make_score(value, value); }
Phase game_phase() const { return (Phase)gamePhase; } Phase game_phase() const { return gamePhase; }
bool specialized_eval_exists() const { return evaluationFunction != nullptr; } bool specialized_eval_exists() const { return evaluationFunction != nullptr; }
Value evaluate(const Position& pos) const { return (*evaluationFunction)(pos); } Value evaluate(const Position& pos) const { return (*evaluationFunction)(pos); }
@@ -57,15 +57,15 @@ struct Entry {
const EndgameBase<Value>* evaluationFunction; const EndgameBase<Value>* evaluationFunction;
const EndgameBase<ScaleFactor>* scalingFunction[COLOR_NB]; // Could be one for each const EndgameBase<ScaleFactor>* scalingFunction[COLOR_NB]; // Could be one for each
// side (e.g. KPKP, KBPsK) // side (e.g. KPKP, KBPsK)
Score score; int16_t value;
int16_t gamePhase;
uint8_t factor[COLOR_NB]; uint8_t factor[COLOR_NB];
Phase gamePhase;
}; };
typedef HashTable<Entry, 8192> Table; typedef HashTable<Entry, 8192> Table;
Entry* probe(const Position& pos); Entry* probe(const Position& pos);
} // namespace Stockfish::Material } // namespace Material
#endif // #ifndef MATERIAL_H_INCLUDED #endif // #ifndef MATERIAL_H_INCLUDED
+78 -177
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -36,8 +36,6 @@ typedef bool(*fun1_t)(LOGICAL_PROCESSOR_RELATIONSHIP,
PSYSTEM_LOGICAL_PROCESSOR_INFORMATION_EX, PDWORD); PSYSTEM_LOGICAL_PROCESSOR_INFORMATION_EX, PDWORD);
typedef bool(*fun2_t)(USHORT, PGROUP_AFFINITY); typedef bool(*fun2_t)(USHORT, PGROUP_AFFINITY);
typedef bool(*fun3_t)(HANDLE, CONST GROUP_AFFINITY*, PGROUP_AFFINITY); typedef bool(*fun3_t)(HANDLE, CONST GROUP_AFFINITY*, PGROUP_AFFINITY);
typedef bool(*fun4_t)(USHORT, PGROUP_AFFINITY, USHORT, PUSHORT);
typedef WORD(*fun5_t)();
} }
#endif #endif
@@ -53,23 +51,16 @@ typedef WORD(*fun5_t)();
#include <sys/mman.h> #include <sys/mman.h>
#endif #endif
#if defined(__APPLE__) || defined(__ANDROID__) || defined(__OpenBSD__) || (defined(__GLIBCXX__) && !defined(_GLIBCXX_HAVE_ALIGNED_ALLOC) && !defined(_WIN32)) || defined(__e2k__)
#define POSIXALIGNEDALLOC
#include <stdlib.h>
#endif
#include "misc.h" #include "misc.h"
#include "thread.h" #include "thread.h"
using namespace std; using namespace std;
namespace Stockfish {
namespace { namespace {
/// Version number. If Version is left empty, then compile date in the format /// Version number. If Version is left empty, then compile date in the format
/// DD-MM-YY and show in engine_info. /// DD-MM-YY and show in engine_info.
const string Version = "15"; const string Version = "";
/// Our fancy logging facility. The trick here is to replace cin.rdbuf() and /// Our fancy logging facility. The trick here is to replace cin.rdbuf() and
/// cout.rdbuf() with two Tie objects that tie cin and cout to a file stream. We /// cout.rdbuf() with two Tie objects that tie cin and cout to a file stream. We
@@ -112,14 +103,7 @@ public:
static Logger l; static Logger l;
if (l.file.is_open()) if (!fname.empty() && !l.file.is_open())
{
cout.rdbuf(l.out.buf);
cin.rdbuf(l.in.buf);
l.file.close();
}
if (!fname.empty())
{ {
l.file.open(fname, ifstream::out); l.file.open(fname, ifstream::out);
@@ -132,18 +116,23 @@ public:
cin.rdbuf(&l.in); cin.rdbuf(&l.in);
cout.rdbuf(&l.out); cout.rdbuf(&l.out);
} }
else if (fname.empty() && l.file.is_open())
{
cout.rdbuf(l.out.buf);
cin.rdbuf(l.in.buf);
l.file.close();
}
} }
}; };
} // namespace } // namespace
/// engine_info() returns the full name of the current Stockfish version. This /// engine_info() returns the full name of the current Stockfish version. This
/// will be either "Stockfish <Tag> DD-MM-YY" (where DD-MM-YY is the date when /// will be either "Stockfish <Tag> DD-MM-YY" (where DD-MM-YY is the date when
/// the program was compiled) or "Stockfish <Version>", depending on whether /// the program was compiled) or "Stockfish <Version>", depending on whether
/// Version is empty. /// Version is empty.
string engine_info(bool to_uci) { const string engine_info(bool to_uci) {
const string months("Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec"); const string months("Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec");
string month, day, year; string month, day, year;
@@ -166,7 +155,7 @@ string engine_info(bool to_uci) {
/// compiler_info() returns a string trying to describe the compiler we use /// compiler_info() returns a string trying to describe the compiler we use
std::string compiler_info() { const std::string compiler_info() {
#define stringify2(x) #x #define stringify2(x) #x
#define stringify(x) stringify2(x) #define stringify(x) stringify2(x)
@@ -195,18 +184,6 @@ std::string compiler_info() {
compiler += "(version "; compiler += "(version ";
compiler += stringify(_MSC_FULL_VER) "." stringify(_MSC_BUILD); compiler += stringify(_MSC_FULL_VER) "." stringify(_MSC_BUILD);
compiler += ")"; compiler += ")";
#elif defined(__e2k__) && defined(__LCC__)
#define dot_ver2(n) \
compiler += (char)'.'; \
compiler += (char)('0' + (n) / 10); \
compiler += (char)('0' + (n) % 10);
compiler += "MCST LCC ";
compiler += "(version ";
compiler += std::to_string(__LCC__ / 100);
dot_ver2(__LCC__ % 100)
dot_ver2(__LCC_MINOR__)
compiler += ")";
#elif __GNUC__ #elif __GNUC__
compiler += "g++ (GNUC) "; compiler += "g++ (GNUC) ";
compiler += make_version_string(__GNUC__, __GNUC_MINOR__, __GNUC_PATCHLEVEL__); compiler += make_version_string(__GNUC__, __GNUC_MINOR__, __GNUC_PATCHLEVEL__);
@@ -237,33 +214,26 @@ std::string compiler_info() {
compiler += "\nCompilation settings include: "; compiler += "\nCompilation settings include: ";
compiler += (Is64Bit ? " 64bit" : " 32bit"); compiler += (Is64Bit ? " 64bit" : " 32bit");
#if defined(USE_VNNI)
compiler += " VNNI";
#endif
#if defined(USE_AVX512) #if defined(USE_AVX512)
compiler += " AVX512"; compiler += " AVX512";
#endif #endif
compiler += (HasPext ? " BMI2" : "");
#if defined(USE_AVX2) #if defined(USE_AVX2)
compiler += " AVX2"; compiler += " AVX2";
#endif #endif
#if defined(USE_SSE42)
compiler += " SSE42";
#endif
#if defined(USE_SSE41) #if defined(USE_SSE41)
compiler += " SSE41"; compiler += " SSE41";
#endif #endif
#if defined(USE_SSSE3) #if defined(USE_SSSE3)
compiler += " SSSE3"; compiler += " SSSE3";
#endif #endif
#if defined(USE_SSE2) #if defined(USE_SSE3)
compiler += " SSE2"; compiler += " SSE3";
#endif #endif
compiler += (HasPopCnt ? " POPCNT" : ""); compiler += (HasPext ? " BMI2" : "");
#if defined(USE_MMX) compiler += (HasPopCnt ? " POPCNT" : "");
compiler += " MMX";
#endif
#if defined(USE_NEON)
compiler += " NEON";
#endif
#if !defined(NDEBUG) #if !defined(NDEBUG)
compiler += " DEBUG"; compiler += " DEBUG";
#endif #endif
@@ -346,16 +316,13 @@ void prefetch(void* addr) {
#endif #endif
/// Wrappers for systems where the c++17 implementation doesn't guarantee the availability of aligned_alloc.
/// std_aligned_alloc() is our wrapper for systems where the c++17 implementation /// Memory allocated with std_aligned_alloc must be freed with std_aligned_free.
/// does not guarantee the availability of aligned_alloc(). Memory allocated with ///
/// std_aligned_alloc() must be freed with std_aligned_free().
void* std_aligned_alloc(size_t alignment, size_t size) { void* std_aligned_alloc(size_t alignment, size_t size) {
#if defined(__APPLE__)
#if defined(POSIXALIGNEDALLOC) return aligned_alloc(alignment, size);
void *mem;
return posix_memalign(&mem, alignment, size) ? nullptr : mem;
#elif defined(_WIN32) #elif defined(_WIN32)
return _mm_malloc(size, alignment); return _mm_malloc(size, alignment);
#else #else
@@ -364,8 +331,7 @@ void* std_aligned_alloc(size_t alignment, size_t size) {
} }
void std_aligned_free(void* ptr) { void std_aligned_free(void* ptr) {
#if defined(__APPLE__)
#if defined(POSIXALIGNEDALLOC)
free(ptr); free(ptr);
#elif defined(_WIN32) #elif defined(_WIN32)
_mm_free(ptr); _mm_free(ptr);
@@ -374,16 +340,25 @@ void std_aligned_free(void* ptr) {
#endif #endif
} }
/// aligned_large_pages_alloc() will return suitably aligned memory, if possible using large pages. /// aligned_ttmem_alloc() will return suitably aligned memory, and if possible use large pages.
/// The returned pointer is the aligned one, while the mem argument is the one that needs
/// to be passed to free. With c++17 some of this functionality could be simplified.
#if defined(_WIN32) #if defined(__linux__) && !defined(__ANDROID__)
static void* aligned_large_pages_alloc_windows(size_t allocSize) { void* aligned_ttmem_alloc(size_t allocSize, void*& mem) {
#if !defined(_WIN64) constexpr size_t alignment = 2 * 1024 * 1024; // assumed 2MB page sizes
(void)allocSize; // suppress unused-parameter compiler warning size_t size = ((allocSize + alignment - 1) / alignment) * alignment; // multiple of alignment
return nullptr; if (posix_memalign(&mem, alignment, size))
#else mem = nullptr;
madvise(mem, allocSize, MADV_HUGEPAGE);
return mem;
}
#elif defined(_WIN64)
static void* aligned_ttmem_alloc_large_pages(size_t allocSize) {
HANDLE hProcessToken { }; HANDLE hProcessToken { };
LUID luid { }; LUID luid { };
@@ -426,14 +401,25 @@ static void* aligned_large_pages_alloc_windows(size_t allocSize) {
CloseHandle(hProcessToken); CloseHandle(hProcessToken);
return mem; return mem;
#endif
} }
void* aligned_large_pages_alloc(size_t allocSize) { void* aligned_ttmem_alloc(size_t allocSize, void*& mem) {
static bool firstCall = true;
// Try to allocate large pages // Try to allocate large pages
void* mem = aligned_large_pages_alloc_windows(allocSize); mem = aligned_ttmem_alloc_large_pages(allocSize);
// Suppress info strings on the first call. The first call occurs before 'uci'
// is received and in that case this output confuses some GUIs.
if (!firstCall)
{
if (mem)
sync_cout << "info string Hash table allocation: Windows large pages used." << sync_endl;
else
sync_cout << "info string Hash table allocation: Windows large pages not used." << sync_endl;
}
firstCall = false;
// Fall back to regular, page aligned, allocation if necessary // Fall back to regular, page aligned, allocation if necessary
if (!mem) if (!mem)
@@ -444,46 +430,37 @@ void* aligned_large_pages_alloc(size_t allocSize) {
#else #else
void* aligned_large_pages_alloc(size_t allocSize) { void* aligned_ttmem_alloc(size_t allocSize, void*& mem) {
#if defined(__linux__) constexpr size_t alignment = 64; // assumed cache line size
constexpr size_t alignment = 2 * 1024 * 1024; // assumed 2MB page size size_t size = allocSize + alignment - 1; // allocate some extra space
#else mem = malloc(size);
constexpr size_t alignment = 4096; // assumed small page size void* ret = reinterpret_cast<void*>((uintptr_t(mem) + alignment - 1) & ~uintptr_t(alignment - 1));
#endif return ret;
// round up to multiples of alignment
size_t size = ((allocSize + alignment - 1) / alignment) * alignment;
void *mem = std_aligned_alloc(alignment, size);
#if defined(MADV_HUGEPAGE)
madvise(mem, size, MADV_HUGEPAGE);
#endif
return mem;
} }
#endif #endif
/// aligned_large_pages_free() will free the previously allocated ttmem /// aligned_ttmem_free() will free the previously allocated ttmem
#if defined(_WIN32) #if defined(_WIN64)
void aligned_large_pages_free(void* mem) { void aligned_ttmem_free(void* mem) {
if (mem && !VirtualFree(mem, 0, MEM_RELEASE)) if (mem && !VirtualFree(mem, 0, MEM_RELEASE))
{ {
DWORD err = GetLastError(); DWORD err = GetLastError();
std::cerr << "Failed to free large page memory. Error code: 0x" std::cerr << "Failed to free transposition table. Error code: 0x" <<
<< std::hex << err std::hex << err << std::dec << std::endl;
<< std::dec << std::endl;
exit(EXIT_FAILURE); exit(EXIT_FAILURE);
} }
} }
#else #else
void aligned_large_pages_free(void *mem) { void aligned_ttmem_free(void *mem) {
std_aligned_free(mem); free(mem);
} }
#endif #endif
@@ -497,11 +474,11 @@ void bindThisThread(size_t) {}
#else #else
/// best_node() retrieves logical processor information using Windows specific /// best_group() retrieves logical processor information using Windows specific
/// API and returns the best node id for the thread with index idx. Original /// API and returns the best group id for the thread with index idx. Original
/// code from Texel by Peter Österlund. /// code from Texel by Peter Österlund.
int best_node(size_t idx) { int best_group(size_t idx) {
int threads = 0; int threads = 0;
int nodes = 0; int nodes = 0;
@@ -515,8 +492,7 @@ int best_node(size_t idx) {
if (!fun1) if (!fun1)
return -1; return -1;
// First call to GetLogicalProcessorInformationEx() to get returnLength. // First call to get returnLength. We expect it to fail due to null buffer
// We expect the call to fail due to null buffer.
if (fun1(RelationAll, nullptr, &returnLength)) if (fun1(RelationAll, nullptr, &returnLength))
return -1; return -1;
@@ -524,7 +500,7 @@ int best_node(size_t idx) {
SYSTEM_LOGICAL_PROCESSOR_INFORMATION_EX *buffer, *ptr; SYSTEM_LOGICAL_PROCESSOR_INFORMATION_EX *buffer, *ptr;
ptr = buffer = (SYSTEM_LOGICAL_PROCESSOR_INFORMATION_EX*)malloc(returnLength); ptr = buffer = (SYSTEM_LOGICAL_PROCESSOR_INFORMATION_EX*)malloc(returnLength);
// Second call to GetLogicalProcessorInformationEx(), now we expect to succeed // Second call, now we expect to succeed
if (!fun1(RelationAll, buffer, &returnLength)) if (!fun1(RelationAll, buffer, &returnLength))
{ {
free(buffer); free(buffer);
@@ -574,99 +550,24 @@ int best_node(size_t idx) {
void bindThisThread(size_t idx) { void bindThisThread(size_t idx) {
// Use only local variables to be thread-safe // Use only local variables to be thread-safe
int node = best_node(idx); int group = best_group(idx);
if (node == -1) if (group == -1)
return; return;
// Early exit if the needed API are not available at runtime // Early exit if the needed API are not available at runtime
HMODULE k32 = GetModuleHandle("Kernel32.dll"); HMODULE k32 = GetModuleHandle("Kernel32.dll");
auto fun2 = (fun2_t)(void(*)())GetProcAddress(k32, "GetNumaNodeProcessorMaskEx"); auto fun2 = (fun2_t)(void(*)())GetProcAddress(k32, "GetNumaNodeProcessorMaskEx");
auto fun3 = (fun3_t)(void(*)())GetProcAddress(k32, "SetThreadGroupAffinity"); auto fun3 = (fun3_t)(void(*)())GetProcAddress(k32, "SetThreadGroupAffinity");
auto fun4 = (fun4_t)(void(*)())GetProcAddress(k32, "GetNumaNodeProcessorMask2");
auto fun5 = (fun5_t)(void(*)())GetProcAddress(k32, "GetMaximumProcessorGroupCount");
if (!fun2 || !fun3) if (!fun2 || !fun3)
return; return;
if (!fun4 || !fun5) GROUP_AFFINITY affinity;
{ if (fun2(group, &affinity))
GROUP_AFFINITY affinity; fun3(GetCurrentThread(), &affinity, nullptr);
if (fun2(node, &affinity)) // GetNumaNodeProcessorMaskEx
fun3(GetCurrentThread(), &affinity, nullptr); // SetThreadGroupAffinity
}
else
{
// If a numa node has more than one processor group, we assume they are
// sized equal and we spread threads evenly across the groups.
USHORT elements, returnedElements;
elements = fun5(); // GetMaximumProcessorGroupCount
GROUP_AFFINITY *affinity = (GROUP_AFFINITY*)malloc(elements * sizeof(GROUP_AFFINITY));
if (fun4(node, affinity, elements, &returnedElements)) // GetNumaNodeProcessorMask2
fun3(GetCurrentThread(), &affinity[idx % returnedElements], nullptr); // SetThreadGroupAffinity
free(affinity);
}
} }
#endif #endif
} // namespace WinProcGroup } // namespace WinProcGroup
#ifdef _WIN32
#include <direct.h>
#define GETCWD _getcwd
#else
#include <unistd.h>
#define GETCWD getcwd
#endif
namespace CommandLine {
string argv0; // path+name of the executable binary, as given by argv[0]
string binaryDirectory; // path of the executable directory
string workingDirectory; // path of the working directory
void init(int argc, char* argv[]) {
(void)argc;
string pathSeparator;
// extract the path+name of the executable binary
argv0 = argv[0];
#ifdef _WIN32
pathSeparator = "\\";
#ifdef _MSC_VER
// Under windows argv[0] may not have the extension. Also _get_pgmptr() had
// issues in some windows 10 versions, so check returned values carefully.
char* pgmptr = nullptr;
if (!_get_pgmptr(&pgmptr) && pgmptr != nullptr && *pgmptr)
argv0 = pgmptr;
#endif
#else
pathSeparator = "/";
#endif
// extract the working directory
workingDirectory = "";
char buff[40000];
char* cwd = GETCWD(buff, 40000);
if (cwd)
workingDirectory = cwd;
// extract the binary directory path from argv0
binaryDirectory = argv0;
size_t pos = binaryDirectory.find_last_of("\\/");
if (pos == std::string::npos)
binaryDirectory = "." + pathSeparator;
else
binaryDirectory.resize(pos + 1);
// pattern replacement: "./" at the start of path is replaced by the working directory
if (binaryDirectory.find("." + pathSeparator) == 0)
binaryDirectory.replace(0, 1, workingDirectory);
}
} // namespace CommandLine
} // namespace Stockfish
+11 -112
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -24,20 +24,17 @@
#include <ostream> #include <ostream>
#include <string> #include <string>
#include <vector> #include <vector>
#include <cstdint>
#include "types.h" #include "types.h"
namespace Stockfish { const std::string engine_info(bool to_uci = false);
const std::string compiler_info();
std::string engine_info(bool to_uci = false);
std::string compiler_info();
void prefetch(void* addr); 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_alloc(size_t alignment, size_t size);
void std_aligned_free(void* ptr); void std_aligned_free(void* ptr);
void* aligned_large_pages_alloc(size_t size); // memory aligned by page size, min alignment: 4096 bytes void* aligned_ttmem_alloc(size_t size, void*& mem);
void aligned_large_pages_free(void* mem); // nop if mem == nullptr void aligned_ttmem_free(void* mem); // nop if mem == nullptr
void dbg_hit_on(bool b); void dbg_hit_on(bool b);
void dbg_hit_on(bool c, bool b); void dbg_hit_on(bool c, bool b);
@@ -45,7 +42,9 @@ void dbg_mean_of(int v);
void dbg_print(); void dbg_print();
typedef std::chrono::milliseconds::rep TimePoint; // 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"); static_assert(sizeof(TimePoint) == sizeof(int64_t), "TimePoint should be 64 bits");
inline TimePoint now() { inline TimePoint now() {
return std::chrono::duration_cast<std::chrono::milliseconds> return std::chrono::duration_cast<std::chrono::milliseconds>
(std::chrono::steady_clock::now().time_since_epoch()).count(); (std::chrono::steady_clock::now().time_since_epoch()).count();
@@ -66,106 +65,15 @@ std::ostream& operator<<(std::ostream&, SyncCout);
#define sync_cout std::cout << IO_LOCK #define sync_cout std::cout << IO_LOCK
#define sync_endl std::endl << IO_UNLOCK #define sync_endl std::endl << IO_UNLOCK
namespace Utility {
// align_ptr_up() : get the first aligned element of an array. /// Clamp a value between lo and hi. Available in c++17.
// ptr must point to an array of size at least `sizeof(T) * N + alignment` bytes, template<class T> constexpr const T& clamp(const T& v, const T& lo, const T& hi) {
// where N is the number of elements in the array. return v < lo ? lo : v > hi ? hi : v;
template <uintptr_t Alignment, typename T>
T* align_ptr_up(T* ptr)
{
static_assert(alignof(T) < Alignment);
const uintptr_t ptrint = reinterpret_cast<uintptr_t>(reinterpret_cast<char*>(ptr));
return reinterpret_cast<T*>(reinterpret_cast<char*>((ptrint + (Alignment - 1)) / Alignment * Alignment));
} }
// IsLittleEndian : true if and only if the binary is compiled on a little endian machine
static inline const union { uint32_t i; char c[4]; } Le = { 0x01020304 };
static inline const bool IsLittleEndian = (Le.c[0] == 4);
// RunningAverage : a class to calculate a running average of a series of values.
// For efficiency, all computations are done with integers.
class RunningAverage {
public:
// Reset the running average to rational value p / q
void set(int64_t p, int64_t q)
{ average = p * PERIOD * RESOLUTION / q; }
// Update average with value v
void update(int64_t v)
{ average = RESOLUTION * v + (PERIOD - 1) * average / PERIOD; }
// Test if average is strictly greater than rational a / b
bool is_greater(int64_t a, int64_t b) const
{ return b * average > a * (PERIOD * RESOLUTION); }
int64_t value() const
{ return average / (PERIOD * RESOLUTION); }
private :
static constexpr int64_t PERIOD = 4096;
static constexpr int64_t RESOLUTION = 1024;
int64_t average;
};
template <typename T, std::size_t MaxSize>
class ValueList {
public:
std::size_t size() const { return size_; }
void resize(std::size_t newSize) { size_ = newSize; }
void push_back(const T& value) { values_[size_++] = value; }
T& operator[](std::size_t index) { return values_[index]; }
T* begin() { return values_; }
T* end() { return values_ + size_; }
const T& operator[](std::size_t index) const { return values_[index]; }
const T* begin() const { return values_; }
const T* end() const { return values_ + size_; }
void swap(ValueList& other) {
const std::size_t maxSize = std::max(size_, other.size_);
for (std::size_t i = 0; i < maxSize; ++i) {
std::swap(values_[i], other.values_[i]);
}
std::swap(size_, other.size_);
}
private:
T values_[MaxSize];
std::size_t size_ = 0;
};
/// sigmoid(t, x0, y0, C, P, Q) implements a sigmoid-like function using only integers,
/// with the following properties:
///
/// - sigmoid is centered in (x0, y0)
/// - sigmoid has amplitude [-P/Q , P/Q] instead of [-1 , +1]
/// - limit is (y0 - P/Q) when t tends to -infinity
/// - limit is (y0 + P/Q) when t tends to +infinity
/// - the slope can be adjusted using C > 0, smaller C giving a steeper sigmoid
/// - the slope of the sigmoid when t = x0 is P/(Q*C)
/// - sigmoid is increasing with t when P > 0 and Q > 0
/// - to get a decreasing sigmoid, change sign of P
/// - mean value of the sigmoid is y0
///
/// Use <https://www.desmos.com/calculator/jhh83sqq92> to draw the sigmoid
inline int64_t sigmoid(int64_t t, int64_t x0,
int64_t y0,
int64_t C,
int64_t P,
int64_t Q)
{
assert(C > 0);
assert(Q != 0);
return y0 + P * (t-x0) / (Q * (std::abs(t-x0) + C)) ;
} }
/// xorshift64star Pseudo-Random Number Generator /// xorshift64star Pseudo-Random Number Generator
/// This class is based on original code written and dedicated /// This class is based on original code written and dedicated
/// to the public domain by Sebastiano Vigna (2014). /// to the public domain by Sebastiano Vigna (2014).
@@ -226,13 +134,4 @@ namespace WinProcGroup {
void bindThisThread(size_t idx); void bindThisThread(size_t idx);
} }
namespace CommandLine {
void init(int argc, char* argv[]);
extern std::string binaryDirectory; // path of the executable directory
extern std::string workingDirectory; // path of the working directory
}
} // namespace Stockfish
#endif // #ifndef MISC_H_INCLUDED #endif // #ifndef MISC_H_INCLUDED
+162 -71
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -21,21 +21,24 @@
#include "movegen.h" #include "movegen.h"
#include "position.h" #include "position.h"
namespace Stockfish {
namespace { namespace {
template<GenType Type, Direction D> template<GenType Type, Direction D>
ExtMove* make_promotions(ExtMove* moveList, Square to) { ExtMove* make_promotions(ExtMove* moveList, Square to, Square ksq) {
if (Type == CAPTURES || Type == EVASIONS || Type == NON_EVASIONS) if (Type == CAPTURES || Type == EVASIONS || Type == NON_EVASIONS)
{
*moveList++ = make<PROMOTION>(to - D, to, QUEEN); *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) if (Type == QUIETS || Type == EVASIONS || Type == NON_EVASIONS)
{ {
*moveList++ = make<PROMOTION>(to - D, to, ROOK); *moveList++ = make<PROMOTION>(to - D, to, ROOK);
*moveList++ = make<PROMOTION>(to - D, to, BISHOP); *moveList++ = make<PROMOTION>(to - D, to, BISHOP);
*moveList++ = make<PROMOTION>(to - D, to, KNIGHT); if (!(attacks_bb<KNIGHT>(to) & ksq))
*moveList++ = make<PROMOTION>(to - D, to, KNIGHT);
} }
return moveList; return moveList;
@@ -52,16 +55,20 @@ namespace {
constexpr Direction UpRight = (Us == WHITE ? NORTH_EAST : SOUTH_WEST); constexpr Direction UpRight = (Us == WHITE ? NORTH_EAST : SOUTH_WEST);
constexpr Direction UpLeft = (Us == WHITE ? NORTH_WEST : SOUTH_EAST); constexpr Direction UpLeft = (Us == WHITE ? NORTH_WEST : SOUTH_EAST);
const Bitboard emptySquares = ~pos.pieces(); const Square ksq = pos.square<KING>(Them);
const Bitboard enemies = Type == EVASIONS ? pos.checkers() Bitboard emptySquares;
: pos.pieces(Them);
Bitboard pawnsOn7 = pos.pieces(Us, PAWN) & TRank7BB; Bitboard pawnsOn7 = pos.pieces(Us, PAWN) & TRank7BB;
Bitboard pawnsNotOn7 = 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 // Single and double pawn pushes, no promotions
if (Type != CAPTURES) if (Type != CAPTURES)
{ {
emptySquares = (Type == QUIETS || Type == QUIET_CHECKS ? target : ~pos.pieces());
Bitboard b1 = shift<Up>(pawnsNotOn7) & emptySquares; Bitboard b1 = shift<Up>(pawnsNotOn7) & emptySquares;
Bitboard b2 = shift<Up>(b1 & TRank3BB) & emptySquares; Bitboard b2 = shift<Up>(b1 & TRank3BB) & emptySquares;
@@ -73,24 +80,33 @@ namespace {
if (Type == QUIET_CHECKS) if (Type == QUIET_CHECKS)
{ {
// To make a quiet check, you either make a direct check by pushing a pawn b1 &= pawn_attacks_bb(Them, ksq);
// or push a blocker pawn that is not on the same file as the enemy king. b2 &= pawn_attacks_bb(Them, ksq);
// Discovered check promotion has been already generated amongst the captures.
Square ksq = pos.square<KING>(Them); // Add pawn pushes which give discovered check. This is possible only
Bitboard dcCandidatePawns = pos.blockers_for_king(Them) & ~file_bb(ksq); // if the pawn is not on the same file as the enemy king, because we
b1 &= pawn_attacks_bb(Them, ksq) | shift< Up>(dcCandidatePawns); // don't generate captures. Note that a possible discovery check
b2 &= pawn_attacks_bb(Them, ksq) | shift<Up+Up>(dcCandidatePawns); // 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) while (b1)
{ {
Square to = pop_lsb(b1); Square to = pop_lsb(&b1);
*moveList++ = make_move(to - Up, to); *moveList++ = make_move(to - Up, to);
} }
while (b2) while (b2)
{ {
Square to = pop_lsb(b2); Square to = pop_lsb(&b2);
*moveList++ = make_move(to - Up - Up, to); *moveList++ = make_move(to - Up - Up, to);
} }
} }
@@ -98,24 +114,27 @@ namespace {
// Promotions and underpromotions // Promotions and underpromotions
if (pawnsOn7) if (pawnsOn7)
{ {
if (Type == CAPTURES)
emptySquares = ~pos.pieces();
if (Type == EVASIONS)
emptySquares &= target;
Bitboard b1 = shift<UpRight>(pawnsOn7) & enemies; Bitboard b1 = shift<UpRight>(pawnsOn7) & enemies;
Bitboard b2 = shift<UpLeft >(pawnsOn7) & enemies; Bitboard b2 = shift<UpLeft >(pawnsOn7) & enemies;
Bitboard b3 = shift<Up >(pawnsOn7) & emptySquares; Bitboard b3 = shift<Up >(pawnsOn7) & emptySquares;
if (Type == EVASIONS)
b3 &= target;
while (b1) while (b1)
moveList = make_promotions<Type, UpRight>(moveList, pop_lsb(b1)); moveList = make_promotions<Type, UpRight>(moveList, pop_lsb(&b1), ksq);
while (b2) while (b2)
moveList = make_promotions<Type, UpLeft >(moveList, pop_lsb(b2)); moveList = make_promotions<Type, UpLeft >(moveList, pop_lsb(&b2), ksq);
while (b3) while (b3)
moveList = make_promotions<Type, Up >(moveList, pop_lsb(b3)); moveList = make_promotions<Type, Up >(moveList, pop_lsb(&b3), ksq);
} }
// Standard and en passant captures // Standard and en-passant captures
if (Type == CAPTURES || Type == EVASIONS || Type == NON_EVASIONS) if (Type == CAPTURES || Type == EVASIONS || Type == NON_EVASIONS)
{ {
Bitboard b1 = shift<UpRight>(pawnsNotOn7) & enemies; Bitboard b1 = shift<UpRight>(pawnsNotOn7) & enemies;
@@ -123,13 +142,13 @@ namespace {
while (b1) while (b1)
{ {
Square to = pop_lsb(b1); Square to = pop_lsb(&b1);
*moveList++ = make_move(to - UpRight, to); *moveList++ = make_move(to - UpRight, to);
} }
while (b2) while (b2)
{ {
Square to = pop_lsb(b2); Square to = pop_lsb(&b2);
*moveList++ = make_move(to - UpLeft, to); *moveList++ = make_move(to - UpLeft, to);
} }
@@ -137,8 +156,10 @@ namespace {
{ {
assert(rank_of(pos.ep_square()) == relative_rank(Us, RANK_6)); assert(rank_of(pos.ep_square()) == relative_rank(Us, RANK_6));
// An en passant capture cannot resolve a discovered check // An en passant capture can be an evasion only if the checking piece
if (Type == EVASIONS && (target & (pos.ep_square() + Up))) // 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; return moveList;
b1 = pawnsNotOn7 & pawn_attacks_bb(Them, pos.ep_square()); b1 = pawnsNotOn7 & pawn_attacks_bb(Them, pos.ep_square());
@@ -146,7 +167,7 @@ namespace {
assert(b1); assert(b1);
while (b1) while (b1)
*moveList++ = make<EN_PASSANT>(pop_lsb(b1), pos.ep_square()); *moveList++ = make<ENPASSANT>(pop_lsb(&b1), pos.ep_square());
} }
} }
@@ -159,19 +180,27 @@ namespace {
static_assert(Pt != KING && Pt != PAWN, "Unsupported piece type in generate_moves()"); 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); if (Checks)
{
if ( (Pt == BISHOP || Pt == ROOK || Pt == QUEEN)
&& !(attacks_bb<Pt>(from) & target & pos.check_squares(Pt)))
continue;
if (pos.blockers_for_king(~Us) & from)
continue;
}
Bitboard b = attacks_bb<Pt>(from, pos.pieces()) & target; Bitboard b = attacks_bb<Pt>(from, pos.pieces()) & target;
// To check, you either move freely a blocker or make a direct check. if (Checks)
if (Checks && (Pt == QUEEN || !(pos.blockers_for_king(~Us) & from)))
b &= pos.check_squares(Pt); b &= pos.check_squares(Pt);
while (b) while (b)
*moveList++ = make_move(from, pop_lsb(b)); *moveList++ = make_move(from, pop_lsb(&b));
} }
return moveList; return moveList;
@@ -180,39 +209,46 @@ namespace {
template<Color Us, GenType Type> template<Color Us, GenType Type>
ExtMove* generate_all(const Position& pos, ExtMove* moveList) { ExtMove* generate_all(const Position& pos, ExtMove* moveList) {
constexpr bool Checks = Type == QUIET_CHECKS; // Reduce template instantations
static_assert(Type != LEGAL, "Unsupported type in generate_all()");
constexpr bool Checks = Type == QUIET_CHECKS; // Reduce template instantiations
const Square ksq = pos.square<KING>(Us);
Bitboard target; Bitboard target;
// Skip generating non-king moves when in double check switch (Type)
if (Type != EVASIONS || !more_than_one(pos.checkers()))
{ {
target = Type == EVASIONS ? between_bb(ksq, lsb(pos.checkers())) case CAPTURES:
: Type == NON_EVASIONS ? ~pos.pieces( Us) target = pos.pieces(~Us);
: Type == CAPTURES ? pos.pieces(~Us) break;
: ~pos.pieces( ); // QUIETS || QUIET_CHECKS case QUIETS:
case QUIET_CHECKS:
moveList = generate_pawn_moves<Us, Type>(pos, moveList, target); target = ~pos.pieces();
moveList = generate_moves<Us, KNIGHT, Checks>(pos, moveList, target); break;
moveList = generate_moves<Us, BISHOP, Checks>(pos, moveList, target); case EVASIONS:
moveList = generate_moves<Us, ROOK, Checks>(pos, moveList, target); {
moveList = generate_moves<Us, QUEEN, Checks>(pos, moveList, target); 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) 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)
{ {
Bitboard b = attacks_bb<KING>(ksq) & (Type == EVASIONS ? ~pos.pieces(Us) : target); Square ksq = pos.square<KING>(Us);
if (Checks) Bitboard b = attacks_bb<KING>(ksq) & target;
b &= ~attacks_bb<QUEEN>(pos.square<KING>(~Us));
while (b) while (b)
*moveList++ = make_move(ksq, pop_lsb(b)); *moveList++ = make_move(ksq, pop_lsb(&b));
if ((Type == QUIETS || Type == NON_EVASIONS) && pos.can_castle(Us & ANY_CASTLING)) if ((Type != CAPTURES) && pos.can_castle(Us & ANY_CASTLING))
for (CastlingRights cr : { Us & KING_SIDE, Us & QUEEN_SIDE } ) for(CastlingRights cr : { Us & KING_SIDE, Us & QUEEN_SIDE } )
if (!pos.castling_impeded(cr) && pos.can_castle(cr)) if (!pos.castling_impeded(cr) && pos.can_castle(cr))
*moveList++ = make<CASTLING>(ksq, pos.castling_rook_square(cr)); *moveList++ = make<CASTLING>(ksq, pos.castling_rook_square(cr));
} }
@@ -223,10 +259,8 @@ namespace {
} // namespace } // namespace
/// <CAPTURES> Generates all pseudo-legal captures plus queen promotions /// <CAPTURES> Generates all pseudo-legal captures plus queen and checking knight promotions
/// <QUIETS> Generates all pseudo-legal non-captures and underpromotions /// <QUIETS> Generates all pseudo-legal non-captures and underpromotions(except checking knight)
/// <EVASIONS> Generates all pseudo-legal check evasions when the side to move is in check
/// <QUIET_CHECKS> Generates all pseudo-legal non-captures giving check, except castling and promotions
/// <NON_EVASIONS> Generates all pseudo-legal captures and non-captures /// <NON_EVASIONS> Generates all pseudo-legal captures and non-captures
/// ///
/// Returns a pointer to the end of the move list. /// Returns a pointer to the end of the move list.
@@ -234,8 +268,8 @@ namespace {
template<GenType Type> template<GenType Type>
ExtMove* generate(const Position& pos, ExtMove* moveList) { ExtMove* generate(const Position& pos, ExtMove* moveList) {
static_assert(Type != LEGAL, "Unsupported type in generate()"); static_assert(Type == CAPTURES || Type == QUIETS || Type == NON_EVASIONS, "Unsupported type in generate()");
assert((Type == EVASIONS) == (bool)pos.checkers()); assert(!pos.checkers());
Color us = pos.side_to_move(); Color us = pos.side_to_move();
@@ -246,11 +280,70 @@ ExtMove* generate(const Position& pos, ExtMove* moveList) {
// Explicit template instantiations // Explicit template instantiations
template ExtMove* generate<CAPTURES>(const Position&, ExtMove*); template ExtMove* generate<CAPTURES>(const Position&, ExtMove*);
template ExtMove* generate<QUIETS>(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*); template ExtMove* generate<NON_EVASIONS>(const Position&, ExtMove*);
/// generate<QUIET_CHECKS> generates all pseudo-legal non-captures.
/// Returns a pointer to the end of the move list.
template<>
ExtMove* generate<QUIET_CHECKS>(const Position& pos, ExtMove* moveList) {
assert(!pos.checkers());
Color us = pos.side_to_move();
Bitboard dc = pos.blockers_for_king(~us) & pos.pieces(us) & ~pos.pieces(PAWN);
while (dc)
{
Square from = pop_lsb(&dc);
PieceType pt = type_of(pos.piece_on(from));
Bitboard b = attacks_bb(pt, from, pos.pieces()) & ~pos.pieces();
if (pt == KING)
b &= ~attacks_bb<QUEEN>(pos.square<KING>(~us));
while (b)
*moveList++ = make_move(from, pop_lsb(&b));
}
return us == WHITE ? generate_all<WHITE, QUIET_CHECKS>(pos, moveList)
: generate_all<BLACK, QUIET_CHECKS>(pos, moveList);
}
/// generate<EVASIONS> generates all pseudo-legal check evasions when the side
/// to move is in check. Returns a pointer to the end of the move list.
template<>
ExtMove* generate<EVASIONS>(const Position& pos, ExtMove* moveList) {
assert(pos.checkers());
Color us = pos.side_to_move();
Square ksq = pos.square<KING>(us);
Bitboard sliderAttacks = 0;
Bitboard sliders = pos.checkers() & ~pos.pieces(KNIGHT, PAWN);
// Find all the squares attacked by slider checkers. We will remove them from
// the king evasions in order to skip known illegal moves, which avoids any
// useless legality checks later on.
while (sliders)
sliderAttacks |= line_bb(ksq, pop_lsb(&sliders)) & ~pos.checkers();
// Generate evasions for king, capture and non capture moves
Bitboard b = attacks_bb<KING>(ksq) & ~pos.pieces(us) & ~sliderAttacks;
while (b)
*moveList++ = make_move(ksq, pop_lsb(&b));
if (more_than_one(pos.checkers()))
return moveList; // Double check, only a king move can save the day
// Generate blocking evasions or captures of the checking piece
return us == WHITE ? generate_all<WHITE, EVASIONS>(pos, moveList)
: generate_all<BLACK, EVASIONS>(pos, moveList);
}
/// generate<LEGAL> generates all the legal moves in the given position /// generate<LEGAL> generates all the legal moves in the given position
template<> template<>
@@ -264,7 +357,7 @@ ExtMove* generate<LEGAL>(const Position& pos, ExtMove* moveList) {
moveList = pos.checkers() ? generate<EVASIONS >(pos, moveList) moveList = pos.checkers() ? generate<EVASIONS >(pos, moveList)
: generate<NON_EVASIONS>(pos, moveList); : generate<NON_EVASIONS>(pos, moveList);
while (cur != moveList) while (cur != moveList)
if ( ((pinned && pinned & from_sq(*cur)) || from_sq(*cur) == ksq || type_of(*cur) == EN_PASSANT) if ( (pinned || from_sq(*cur) == ksq || type_of(*cur) == ENPASSANT)
&& !pos.legal(*cur)) && !pos.legal(*cur))
*cur = (--moveList)->move; *cur = (--moveList)->move;
else else
@@ -272,5 +365,3 @@ ExtMove* generate<LEGAL>(const Position& pos, ExtMove* moveList) {
return moveList; return moveList;
} }
} // namespace Stockfish
+1 -5
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -23,8 +23,6 @@
#include "types.h" #include "types.h"
namespace Stockfish {
class Position; class Position;
enum GenType { enum GenType {
@@ -72,6 +70,4 @@ private:
ExtMove moveList[MAX_MOVES], *last; ExtMove moveList[MAX_MOVES], *last;
}; };
} // namespace Stockfish
#endif // #ifndef MOVEGEN_H_INCLUDED #endif // #ifndef MOVEGEN_H_INCLUDED
+34 -76
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -18,11 +18,8 @@
#include <cassert> #include <cassert>
#include "bitboard.h"
#include "movepick.h" #include "movepick.h"
namespace Stockfish {
namespace { namespace {
enum Stages { enum Stages {
@@ -57,14 +54,11 @@ namespace {
/// ordering is at the current node. /// ordering is at the current node.
/// MovePicker constructor for the main search /// MovePicker constructor for the main search
MovePicker::MovePicker(const Position& p, Move ttm, Depth d, const ButterflyHistory* mh, MovePicker::MovePicker(const Position& p, Move ttm, Depth d, const ButterflyHistory* mh, const LowPlyHistory* lp,
const CapturePieceToHistory* cph, const CapturePieceToHistory* cph, const PieceToHistory** ch, Move cm, const Move* killers, int pl)
const PieceToHistory** ch, : pos(p), mainHistory(mh), lowPlyHistory(lp), captureHistory(cph), continuationHistory(ch),
Move cm, ttMove(ttm), refutations{{killers[0], 0}, {killers[1], 0}, {cm, 0}}, depth(d), ply(pl) {
const Move* killers)
: pos(p), mainHistory(mh), captureHistory(cph), continuationHistory(ch),
ttMove(ttm), refutations{{killers[0], 0}, {killers[1], 0}, {cm, 0}}, depth(d)
{
assert(d > 0); assert(d > 0);
stage = (pos.checkers() ? EVASION_TT : MAIN_TT) + stage = (pos.checkers() ? EVASION_TT : MAIN_TT) +
@@ -73,24 +67,21 @@ MovePicker::MovePicker(const Position& p, Move ttm, Depth d, const ButterflyHist
/// MovePicker constructor for quiescence search /// MovePicker constructor for quiescence search
MovePicker::MovePicker(const Position& p, Move ttm, Depth d, const ButterflyHistory* mh, MovePicker::MovePicker(const Position& p, Move ttm, Depth d, const ButterflyHistory* mh,
const CapturePieceToHistory* cph, const CapturePieceToHistory* cph, const PieceToHistory** ch, Square rs)
const PieceToHistory** ch, : pos(p), mainHistory(mh), captureHistory(cph), continuationHistory(ch), ttMove(ttm), recaptureSquare(rs), depth(d) {
Square rs)
: pos(p), mainHistory(mh), captureHistory(cph), continuationHistory(ch), ttMove(ttm), recaptureSquare(rs), depth(d)
{
assert(d <= 0); assert(d <= 0);
stage = (pos.checkers() ? EVASION_TT : QSEARCH_TT) + stage = (pos.checkers() ? EVASION_TT : QSEARCH_TT) +
!( ttm !(ttm && (depth > DEPTH_QS_RECAPTURES || to_sq(ttm) == recaptureSquare)
&& (pos.checkers() || depth > DEPTH_QS_RECAPTURES || to_sq(ttm) == recaptureSquare) && pos.pseudo_legal(ttm));
&& pos.pseudo_legal(ttm));
} }
/// MovePicker constructor for ProbCut: we generate captures with SEE greater /// MovePicker constructor for ProbCut: we generate captures with SEE greater
/// than or equal to the given threshold. /// than or equal to the given threshold.
MovePicker::MovePicker(const Position& p, Move ttm, Value th, Depth d, const CapturePieceToHistory* cph) MovePicker::MovePicker(const Position& p, Move ttm, Value th, const CapturePieceToHistory* cph)
: pos(p), captureHistory(cph), ttMove(ttm), threshold(th), depth(d) : pos(p), captureHistory(cph), ttMove(ttm), threshold(th) {
{
assert(!pos.checkers()); assert(!pos.checkers());
stage = PROBCUT_TT + !(ttm && pos.capture(ttm) stage = PROBCUT_TT + !(ttm && pos.capture(ttm)
@@ -106,48 +97,18 @@ void MovePicker::score() {
static_assert(Type == CAPTURES || Type == QUIETS || Type == EVASIONS, "Wrong type"); static_assert(Type == CAPTURES || Type == QUIETS || Type == EVASIONS, "Wrong type");
Bitboard threatened, threatenedByPawn, threatenedByMinor, threatenedByRook;
if constexpr (Type == QUIETS)
{
Color us = pos.side_to_move();
// squares threatened by pawns
threatenedByPawn = pos.attacks_by<PAWN>(~us);
// squares threatened by minors or pawns
threatenedByMinor = pos.attacks_by<KNIGHT>(~us) | pos.attacks_by<BISHOP>(~us) | threatenedByPawn;
// squares threatened by rooks, minors or pawns
threatenedByRook = pos.attacks_by<ROOK>(~us) | threatenedByMinor;
// pieces threatened by pieces of lesser material value
threatened = (pos.pieces(us, QUEEN) & threatenedByRook)
| (pos.pieces(us, ROOK) & threatenedByMinor)
| (pos.pieces(us, KNIGHT, BISHOP) & threatenedByPawn);
}
else
{
// Silence unused variable warnings
(void) threatened;
(void) threatenedByPawn;
(void) threatenedByMinor;
(void) threatenedByRook;
}
for (auto& m : *this) for (auto& m : *this)
if constexpr (Type == CAPTURES) if (Type == CAPTURES)
m.value = 6 * int(PieceValue[MG][pos.piece_on(to_sq(m))]) 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)))]; + (*captureHistory)[pos.moved_piece(m)][to_sq(m)][type_of(pos.piece_on(to_sq(m)))];
else if constexpr (Type == QUIETS) else if (Type == QUIETS)
m.value = (*mainHistory)[pos.side_to_move()][from_to(m)] m.value = (*mainHistory)[pos.side_to_move()][from_to(m)]
+ 2 * (*continuationHistory[0])[pos.moved_piece(m)][to_sq(m)] + 2 * (*continuationHistory[0])[pos.moved_piece(m)][to_sq(m)]
+ (*continuationHistory[1])[pos.moved_piece(m)][to_sq(m)] + 2 * (*continuationHistory[1])[pos.moved_piece(m)][to_sq(m)]
+ (*continuationHistory[3])[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)] + (*continuationHistory[5])[pos.moved_piece(m)][to_sq(m)]
+ (threatened & from_sq(m) ? + (ply < MAX_LPH ? std::min(4, depth / 3) * (*lowPlyHistory)[ply][from_to(m)] : 0);
(type_of(pos.moved_piece(m)) == QUEEN && !(to_sq(m) & threatenedByRook) ? 50000
: type_of(pos.moved_piece(m)) == ROOK && !(to_sq(m) & threatenedByMinor) ? 25000
: !(to_sq(m) & threatenedByPawn) ? 15000
: 0)
: 0);
else // Type == EVASIONS else // Type == EVASIONS
{ {
@@ -155,8 +116,8 @@ void MovePicker::score() {
m.value = PieceValue[MG][pos.piece_on(to_sq(m))] m.value = PieceValue[MG][pos.piece_on(to_sq(m))]
- Value(type_of(pos.moved_piece(m))); - Value(type_of(pos.moved_piece(m)));
else else
m.value = (*mainHistory)[pos.side_to_move()][from_to(m)] m.value = (*mainHistory)[pos.side_to_move()][from_to(m)]
+ 2 * (*continuationHistory[0])[pos.moved_piece(m)][to_sq(m)] + (*continuationHistory[0])[pos.moved_piece(m)][to_sq(m)]
- (1 << 28); - (1 << 28);
} }
} }
@@ -180,7 +141,7 @@ Move MovePicker::select(Pred filter) {
} }
/// MovePicker::next_move() is the most important method of the MovePicker class. It /// MovePicker::next_move() is the most important method of the MovePicker class. It
/// returns a new pseudo-legal move every time it is called until there are no more /// returns a new pseudo legal move every time it is called until there are no more
/// moves left, picking the move with the highest score from a list of generated moves. /// moves left, picking the move with the highest score from a list of generated moves.
Move MovePicker::next_move(bool skipQuiets) { Move MovePicker::next_move(bool skipQuiets) {
@@ -201,12 +162,11 @@ top:
endMoves = generate<CAPTURES>(pos, cur); endMoves = generate<CAPTURES>(pos, cur);
score<CAPTURES>(); score<CAPTURES>();
partial_insertion_sort(cur, endMoves, -3000 * depth);
++stage; ++stage;
goto top; goto top;
case GOOD_CAPTURE: case GOOD_CAPTURE:
if (select<Next>([&](){ if (select<Best>([&](){
return pos.see_ge(*cur, Value(-69 * cur->value / 1024)) ? return pos.see_ge(*cur, Value(-69 * cur->value / 1024)) ?
// Move losing capture to endBadCaptures to be tried later // Move losing capture to endBadCaptures to be tried later
true : (*endBadCaptures++ = *cur, false); })) true : (*endBadCaptures++ = *cur, false); }))
@@ -222,7 +182,7 @@ top:
--endMoves; --endMoves;
++stage; ++stage;
[[fallthrough]]; /* fallthrough */
case REFUTATION: case REFUTATION:
if (select<Next>([&](){ return *cur != MOVE_NONE if (select<Next>([&](){ return *cur != MOVE_NONE
@@ -230,7 +190,7 @@ top:
&& pos.pseudo_legal(*cur); })) && pos.pseudo_legal(*cur); }))
return *(cur - 1); return *(cur - 1);
++stage; ++stage;
[[fallthrough]]; /* fallthrough */
case QUIET_INIT: case QUIET_INIT:
if (!skipQuiets) if (!skipQuiets)
@@ -243,7 +203,7 @@ top:
} }
++stage; ++stage;
[[fallthrough]]; /* fallthrough */
case QUIET: case QUIET:
if ( !skipQuiets if ( !skipQuiets
@@ -257,7 +217,7 @@ top:
endMoves = endBadCaptures; endMoves = endBadCaptures;
++stage; ++stage;
[[fallthrough]]; /* fallthrough */
case BAD_CAPTURE: case BAD_CAPTURE:
return select<Next>([](){ return true; }); return select<Next>([](){ return true; });
@@ -268,16 +228,16 @@ top:
score<EVASIONS>(); score<EVASIONS>();
++stage; ++stage;
[[fallthrough]]; /* fallthrough */
case EVASION: case EVASION:
return select<Best>([](){ return true; }); return select<Best>([](){ return true; });
case PROBCUT: case PROBCUT:
return select<Next>([&](){ return pos.see_ge(*cur, threshold); }); return select<Best>([&](){ return pos.see_ge(*cur, threshold); });
case QCAPTURE: case QCAPTURE:
if (select<Next>([&](){ return depth > DEPTH_QS_RECAPTURES if (select<Best>([&](){ return depth > DEPTH_QS_RECAPTURES
|| to_sq(*cur) == recaptureSquare; })) || to_sq(*cur) == recaptureSquare; }))
return *(cur - 1); return *(cur - 1);
@@ -286,14 +246,14 @@ top:
return MOVE_NONE; return MOVE_NONE;
++stage; ++stage;
[[fallthrough]]; /* fallthrough */
case QCHECK_INIT: case QCHECK_INIT:
cur = moves; cur = moves;
endMoves = generate<QUIET_CHECKS>(pos, cur); endMoves = generate<QUIET_CHECKS>(pos, cur);
++stage; ++stage;
[[fallthrough]]; /* fallthrough */
case QCHECK: case QCHECK:
return select<Next>([](){ return true; }); return select<Next>([](){ return true; });
@@ -302,5 +262,3 @@ top:
assert(false); assert(false);
return MOVE_NONE; // Silence warning return MOVE_NONE; // Silence warning
} }
} // namespace Stockfish
+23 -17
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -27,8 +27,6 @@
#include "position.h" #include "position.h"
#include "types.h" #include "types.h"
namespace Stockfish {
/// StatsEntry stores the stat table value. It is usually a number but could /// 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 /// 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 /// to directly call history update operator<<() on the entry so to use stats
@@ -86,7 +84,13 @@ enum StatsType { NoCaptures, Captures };
/// unsuccessful during the current search, and is used for reduction and move /// unsuccessful during the current search, and is used for reduction and move
/// ordering decisions. It uses 2 tables (one for each color) indexed by /// 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 /// the move's from and to squares, see www.chessprogramming.org/Butterfly_Boards
typedef Stats<int16_t, 14365, COLOR_NB, int(SQUARE_NB) * int(SQUARE_NB)> ButterflyHistory; typedef Stats<int16_t, 10692, COLOR_NB, int(SQUARE_NB) * int(SQUARE_NB)> ButterflyHistory;
/// At higher depths LowPlyHistory records successful quiet moves near the root and quiet
/// moves which are/were in the PV (ttPv)
/// It is cleared with each new 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;
/// CounterMoveHistory stores counter moves indexed by [piece][to] of the previous /// CounterMoveHistory stores counter moves indexed by [piece][to] of the previous
/// move, see www.chessprogramming.org/Countermove_Heuristic /// move, see www.chessprogramming.org/Countermove_Heuristic
@@ -104,12 +108,12 @@ typedef Stats<int16_t, 29952, PIECE_NB, SQUARE_NB> PieceToHistory;
typedef Stats<PieceToHistory, NOT_USED, PIECE_NB, SQUARE_NB> ContinuationHistory; typedef Stats<PieceToHistory, NOT_USED, PIECE_NB, SQUARE_NB> ContinuationHistory;
/// MovePicker class is used to pick one pseudo-legal move at a time from the /// MovePicker class is used to pick one pseudo legal move at a time from the
/// current position. The most important method is next_move(), which returns a /// 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, /// 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 /// when MOVE_NONE is returned. In order to improve the efficiency of the alpha
/// alpha-beta algorithm, MovePicker attempts to return the moves which are most /// beta algorithm, MovePicker attempts to return the moves which are most likely
/// likely to get a cut-off first. /// to get a cut-off first.
class MovePicker { class MovePicker {
enum PickType { Next, Best }; enum PickType { Next, Best };
@@ -117,16 +121,18 @@ class MovePicker {
public: public:
MovePicker(const MovePicker&) = delete; MovePicker(const MovePicker&) = delete;
MovePicker& operator=(const MovePicker&) = delete; MovePicker& operator=(const MovePicker&) = delete;
MovePicker(const Position&, Move, Depth, const ButterflyHistory*, MovePicker(const Position&, Move, Value, const CapturePieceToHistory*);
const CapturePieceToHistory*,
const PieceToHistory**,
Move,
const Move*);
MovePicker(const Position&, Move, Depth, const ButterflyHistory*, MovePicker(const Position&, Move, Depth, const ButterflyHistory*,
const CapturePieceToHistory*, const CapturePieceToHistory*,
const PieceToHistory**, const PieceToHistory**,
Square); Square);
MovePicker(const Position&, Move, Value, Depth, const CapturePieceToHistory*); MovePicker(const Position&, Move, Depth, const ButterflyHistory*,
const LowPlyHistory*,
const CapturePieceToHistory*,
const PieceToHistory**,
Move,
const Move*,
int);
Move next_move(bool skipQuiets = false); Move next_move(bool skipQuiets = false);
private: private:
@@ -137,6 +143,7 @@ private:
const Position& pos; const Position& pos;
const ButterflyHistory* mainHistory; const ButterflyHistory* mainHistory;
const LowPlyHistory* lowPlyHistory;
const CapturePieceToHistory* captureHistory; const CapturePieceToHistory* captureHistory;
const PieceToHistory** continuationHistory; const PieceToHistory** continuationHistory;
Move ttMove; Move ttMove;
@@ -145,9 +152,8 @@ private:
Square recaptureSquare; Square recaptureSquare;
Value threshold; Value threshold;
Depth depth; Depth depth;
int ply;
ExtMove moves[MAX_MOVES]; 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
+99 -324
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -18,386 +18,161 @@
// Code for calculating NNUE evaluation function // Code for calculating NNUE evaluation function
#include <fstream>
#include <iostream> #include <iostream>
#include <set> #include <set>
#include <sstream>
#include <iomanip>
#include <fstream>
#include "../evaluate.h" #include "../evaluate.h"
#include "../position.h" #include "../position.h"
#include "../misc.h" #include "../misc.h"
#include "../uci.h" #include "../uci.h"
#include "../types.h"
#include "evaluate_nnue.h" #include "evaluate_nnue.h"
namespace Stockfish::Eval::NNUE { 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 }
};
namespace Eval::NNUE {
// Input feature converter // Input feature converter
LargePagePtr<FeatureTransformer> featureTransformer; AlignedPtr<FeatureTransformer> feature_transformer;
// Evaluation function // Evaluation function
AlignedPtr<Network> network[LayerStacks]; AlignedPtr<Network> network;
// Evaluation function file name // Evaluation function file name
std::string fileName; std::string fileName;
std::string netDescription;
namespace Detail { namespace Detail {
// Initialize the evaluation function parameters // Initialize the evaluation function parameters
template <typename T> template <typename T>
void initialize(AlignedPtr<T>& pointer) { void Initialize(AlignedPtr<T>& pointer) {
pointer.reset(reinterpret_cast<T*>(std_aligned_alloc(alignof(T), sizeof(T)))); pointer.reset(reinterpret_cast<T*>(std_aligned_alloc(alignof(T), sizeof(T))));
std::memset(pointer.get(), 0, 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 // Read evaluation function parameters
template <typename T> template <typename T>
bool read_parameters(std::istream& stream, T& reference) { bool ReadParameters(std::istream& stream, const AlignedPtr<T>& pointer) {
std::uint32_t header; std::uint32_t header;
header = read_little_endian<std::uint32_t>(stream); stream.read(reinterpret_cast<char*>(&header), sizeof(header));
if (!stream || header != T::get_hash_value()) return false; if (!stream || header != T::GetHashValue()) return false;
return reference.read_parameters(stream); return pointer->ReadParameters(stream);
}
// Write evaluation function parameters
template <typename T>
bool write_parameters(std::ostream& stream, const T& reference) {
write_little_endian<std::uint32_t>(stream, T::get_hash_value());
return reference.write_parameters(stream);
} }
} // namespace Detail } // namespace Detail
// Initialize the evaluation function parameters // Initialize the evaluation function parameters
void initialize() { void Initialize() {
Detail::initialize(featureTransformer); Detail::Initialize(feature_transformer);
for (std::size_t i = 0; i < LayerStacks; ++i) Detail::Initialize(network);
Detail::initialize(network[i]);
} }
// Read network header // Read network header
bool read_header(std::istream& stream, std::uint32_t* hashValue, std::string* desc) bool ReadHeader(std::istream& stream,
{ std::uint32_t* hash_value, std::string* architecture) {
std::uint32_t version, size; std::uint32_t version, size;
stream.read(reinterpret_cast<char*>(&version), sizeof(version));
version = read_little_endian<std::uint32_t>(stream); stream.read(reinterpret_cast<char*>(hash_value), sizeof(*hash_value));
*hashValue = read_little_endian<std::uint32_t>(stream); stream.read(reinterpret_cast<char*>(&size), sizeof(size));
size = read_little_endian<std::uint32_t>(stream); if (!stream || version != kVersion) return false;
if (!stream || version != Version) return false; architecture->resize(size);
desc->resize(size); stream.read(&(*architecture)[0], size);
stream.read(&(*desc)[0], size);
return !stream.fail();
}
// Write network header
bool write_header(std::ostream& stream, std::uint32_t hashValue, const std::string& desc)
{
write_little_endian<std::uint32_t>(stream, Version);
write_little_endian<std::uint32_t>(stream, hashValue);
write_little_endian<std::uint32_t>(stream, (std::uint32_t)desc.size());
stream.write(&desc[0], desc.size());
return !stream.fail(); return !stream.fail();
} }
// Read network parameters // Read network parameters
bool read_parameters(std::istream& stream) { bool ReadParameters(std::istream& stream) {
std::uint32_t hashValue; std::uint32_t hash_value;
if (!read_header(stream, &hashValue, &netDescription)) return false; std::string architecture;
if (hashValue != HashValue) return false; if (!ReadHeader(stream, &hash_value, &architecture)) return false;
if (!Detail::read_parameters(stream, *featureTransformer)) return false; if (hash_value != kHashValue) return false;
for (std::size_t i = 0; i < LayerStacks; ++i) if (!Detail::ReadParameters(stream, feature_transformer)) return false;
if (!Detail::read_parameters(stream, *(network[i]))) return false; if (!Detail::ReadParameters(stream, network)) return false;
return stream && stream.peek() == std::ios::traits_type::eof(); return stream && stream.peek() == std::ios::traits_type::eof();
} }
// Write network parameters // Proceed with the difference calculation if possible
bool write_parameters(std::ostream& stream) { static void UpdateAccumulatorIfPossible(const Position& pos) {
if (!write_header(stream, HashValue, netDescription)) return false; feature_transformer->UpdateAccumulatorIfPossible(pos);
if (!Detail::write_parameters(stream, *featureTransformer)) return false; }
for (std::size_t i = 0; i < LayerStacks; ++i)
if (!Detail::write_parameters(stream, *(network[i]))) return false; // Calculate the evaluation value
return (bool)stream; static Value ComputeScore(const Position& pos, bool refresh) {
auto& accumulator = pos.state()->accumulator;
if (!refresh && accumulator.computed_score) {
return accumulator.score;
}
alignas(kCacheLineSize) TransformedFeatureType
transformed_features[FeatureTransformer::kBufferSize];
feature_transformer->Transform(pos, transformed_features, refresh);
alignas(kCacheLineSize) char buffer[Network::kBufferSize];
const auto output = network->Propagate(transformed_features, buffer);
auto score = static_cast<Value>(output[0] / FV_SCALE);
accumulator.score = score;
accumulator.computed_score = true;
return accumulator.score;
}
// Load the evaluation function file
bool load_eval_file(const std::string& evalFile) {
Initialize();
fileName = evalFile;
std::ifstream stream(evalFile, std::ios::binary);
const bool result = ReadParameters(stream);
return result;
} }
// Evaluation function. Perform differential calculation. // Evaluation function. Perform differential calculation.
Value evaluate(const Position& pos, bool adjusted) { 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);
// We manually align the arrays on the stack because with gcc < 9.3 return v;
// overaligning stack variables with alignas() doesn't work correctly.
constexpr uint64_t alignment = CacheLineSize;
int delta = 10 - pos.non_pawn_material() / 1515;
#if defined(ALIGNAS_ON_STACK_VARIABLES_BROKEN)
TransformedFeatureType transformedFeaturesUnaligned[
FeatureTransformer::BufferSize + alignment / sizeof(TransformedFeatureType)];
auto* transformedFeatures = align_ptr_up<alignment>(&transformedFeaturesUnaligned[0]);
#else
alignas(alignment)
TransformedFeatureType transformedFeatures[FeatureTransformer::BufferSize];
#endif
ASSERT_ALIGNED(transformedFeatures, alignment);
const int bucket = (pos.count<ALL_PIECES>() - 1) / 4;
const auto psqt = featureTransformer->transform(pos, transformedFeatures, bucket);
const auto positional = network[bucket]->propagate(transformedFeatures);
// Give more value to positional evaluation when adjusted flag is set
if (adjusted)
return static_cast<Value>(((128 - delta) * psqt + (128 + delta) * positional) / 128 / OutputScale);
else
return static_cast<Value>((psqt + positional) / OutputScale);
} }
struct NnueEvalTrace { // Evaluation function. Perform full calculation.
static_assert(LayerStacks == PSQTBuckets); Value compute_eval(const Position& pos) {
return ComputeScore(pos, true);
Value psqt[LayerStacks];
Value positional[LayerStacks];
std::size_t correctBucket;
};
static NnueEvalTrace trace_evaluate(const Position& pos) {
// We manually align the arrays on the stack because with gcc < 9.3
// overaligning stack variables with alignas() doesn't work correctly.
constexpr uint64_t alignment = CacheLineSize;
#if defined(ALIGNAS_ON_STACK_VARIABLES_BROKEN)
TransformedFeatureType transformedFeaturesUnaligned[
FeatureTransformer::BufferSize + alignment / sizeof(TransformedFeatureType)];
auto* transformedFeatures = align_ptr_up<alignment>(&transformedFeaturesUnaligned[0]);
#else
alignas(alignment)
TransformedFeatureType transformedFeatures[FeatureTransformer::BufferSize];
#endif
ASSERT_ALIGNED(transformedFeatures, alignment);
NnueEvalTrace t{};
t.correctBucket = (pos.count<ALL_PIECES>() - 1) / 4;
for (IndexType bucket = 0; bucket < LayerStacks; ++bucket) {
const auto materialist = featureTransformer->transform(pos, transformedFeatures, bucket);
const auto positional = network[bucket]->propagate(transformedFeatures);
t.psqt[bucket] = static_cast<Value>( materialist / OutputScale );
t.positional[bucket] = static_cast<Value>( positional / OutputScale );
}
return t;
} }
static const std::string PieceToChar(" PNBRQK pnbrqk"); // Proceed with the difference calculation if possible
void update_eval(const Position& pos) {
UpdateAccumulatorIfPossible(pos);
// format_cp_compact() converts a Value into (centi)pawns and writes it in a buffer.
// The buffer must have capacity for at least 5 chars.
static void format_cp_compact(Value v, char* buffer) {
buffer[0] = (v < 0 ? '-' : v > 0 ? '+' : ' ');
int cp = std::abs(100 * v / PawnValueEg);
if (cp >= 10000)
{
buffer[1] = '0' + cp / 10000; cp %= 10000;
buffer[2] = '0' + cp / 1000; cp %= 1000;
buffer[3] = '0' + cp / 100;
buffer[4] = ' ';
}
else if (cp >= 1000)
{
buffer[1] = '0' + cp / 1000; cp %= 1000;
buffer[2] = '0' + cp / 100; cp %= 100;
buffer[3] = '.';
buffer[4] = '0' + cp / 10;
}
else
{
buffer[1] = '0' + cp / 100; cp %= 100;
buffer[2] = '.';
buffer[3] = '0' + cp / 10; cp %= 10;
buffer[4] = '0' + cp / 1;
}
} }
} // namespace Eval::NNUE
// format_cp_aligned_dot() converts a Value into (centi)pawns and writes it in a buffer,
// always keeping two decimals. The buffer must have capacity for at least 7 chars.
static void format_cp_aligned_dot(Value v, char* buffer) {
buffer[0] = (v < 0 ? '-' : v > 0 ? '+' : ' ');
double cp = 1.0 * std::abs(int(v)) / PawnValueEg;
sprintf(&buffer[1], "%6.2f", cp);
}
// trace() returns a string with the value of each piece on a board,
// and a table for (PSQT, Layers) values bucket by bucket.
std::string trace(Position& pos) {
std::stringstream ss;
char board[3*8+1][8*8+2];
std::memset(board, ' ', sizeof(board));
for (int row = 0; row < 3*8+1; ++row)
board[row][8*8+1] = '\0';
// A lambda to output one box of the board
auto writeSquare = [&board](File file, Rank rank, Piece pc, Value value) {
const int x = ((int)file) * 8;
const int y = (7 - (int)rank) * 3;
for (int i = 1; i < 8; ++i)
board[y][x+i] = board[y+3][x+i] = '-';
for (int i = 1; i < 3; ++i)
board[y+i][x] = board[y+i][x+8] = '|';
board[y][x] = board[y][x+8] = board[y+3][x+8] = board[y+3][x] = '+';
if (pc != NO_PIECE)
board[y+1][x+4] = PieceToChar[pc];
if (value != VALUE_NONE)
format_cp_compact(value, &board[y+2][x+2]);
};
// We estimate the value of each piece by doing a differential evaluation from
// the current base eval, simulating the removal of the piece from its square.
Value base = evaluate(pos);
base = pos.side_to_move() == WHITE ? base : -base;
for (File f = FILE_A; f <= FILE_H; ++f)
for (Rank r = RANK_1; r <= RANK_8; ++r)
{
Square sq = make_square(f, r);
Piece pc = pos.piece_on(sq);
Value v = VALUE_NONE;
if (pc != NO_PIECE && type_of(pc) != KING)
{
auto st = pos.state();
pos.remove_piece(sq);
st->accumulator.computed[WHITE] = false;
st->accumulator.computed[BLACK] = false;
Value eval = evaluate(pos);
eval = pos.side_to_move() == WHITE ? eval : -eval;
v = base - eval;
pos.put_piece(pc, sq);
st->accumulator.computed[WHITE] = false;
st->accumulator.computed[BLACK] = false;
}
writeSquare(f, r, pc, v);
}
ss << " NNUE derived piece values:\n";
for (int row = 0; row < 3*8+1; ++row)
ss << board[row] << '\n';
ss << '\n';
auto t = trace_evaluate(pos);
ss << " NNUE network contributions "
<< (pos.side_to_move() == WHITE ? "(White to move)" : "(Black to move)") << std::endl
<< "+------------+------------+------------+------------+\n"
<< "| Bucket | Material | Positional | Total |\n"
<< "| | (PSQT) | (Layers) | |\n"
<< "+------------+------------+------------+------------+\n";
for (std::size_t bucket = 0; bucket < LayerStacks; ++bucket)
{
char buffer[3][8];
std::memset(buffer, '\0', sizeof(buffer));
format_cp_aligned_dot(t.psqt[bucket], buffer[0]);
format_cp_aligned_dot(t.positional[bucket], buffer[1]);
format_cp_aligned_dot(t.psqt[bucket] + t.positional[bucket], buffer[2]);
ss << "| " << bucket << " "
<< " | " << buffer[0] << " "
<< " | " << buffer[1] << " "
<< " | " << buffer[2] << " "
<< " |";
if (bucket == t.correctBucket)
ss << " <-- this bucket is used";
ss << '\n';
}
ss << "+------------+------------+------------+------------+\n";
return ss.str();
}
// Load eval, from a file stream or a memory stream
bool load_eval(std::string name, std::istream& stream) {
initialize();
fileName = name;
return read_parameters(stream);
}
// Save eval, to a file stream or a memory stream
bool save_eval(std::ostream& stream) {
if (fileName.empty())
return false;
return write_parameters(stream);
}
/// Save eval, to a file given by its name
bool save_eval(const std::optional<std::string>& filename) {
std::string actualFilename;
std::string msg;
if (filename.has_value())
actualFilename = filename.value();
else
{
if (currentEvalFileName != EvalFileDefaultName)
{
msg = "Failed to export a net. A non-embedded net can only be saved if the filename is specified";
sync_cout << msg << sync_endl;
return false;
}
actualFilename = EvalFileDefaultName;
}
std::ofstream stream(actualFilename, std::ios_base::binary);
bool saved = save_eval(stream);
msg = saved ? "Network saved successfully to " + actualFilename
: "Failed to export a net";
sync_cout << msg << sync_endl;
return saved;
}
} // namespace Stockfish::Eval::NNUE
+5 -16
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@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -25,11 +25,11 @@
#include <memory> #include <memory>
namespace Stockfish::Eval::NNUE { namespace Eval::NNUE {
// Hash value of evaluation function structure // Hash value of evaluation function structure
constexpr std::uint32_t HashValue = constexpr std::uint32_t kHashValue =
FeatureTransformer::get_hash_value() ^ Network::get_hash_value(); FeatureTransformer::GetHashValue() ^ Network::GetHashValue();
// Deleter for automating release of memory area // Deleter for automating release of memory area
template <typename T> template <typename T>
@@ -40,20 +40,9 @@ namespace Stockfish::Eval::NNUE {
} }
}; };
template <typename T>
struct LargePageDeleter {
void operator()(T* ptr) const {
ptr->~T();
aligned_large_pages_free(ptr);
}
};
template <typename T> template <typename T>
using AlignedPtr = std::unique_ptr<T, AlignedDeleter<T>>; using AlignedPtr = std::unique_ptr<T, AlignedDeleter<T>>;
template <typename T> } // namespace Eval::NNUE
using LargePagePtr = std::unique_ptr<T, LargePageDeleter<T>>;
} // 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 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -16,23 +16,30 @@
along with this program. If not, see <http://www.gnu.org/licenses/>. along with this program. If not, see <http://www.gnu.org/licenses/>.
*/ */
//Common header of input features of NNUE evaluation function
#ifndef PSQT_H_INCLUDED #ifndef NNUE_FEATURES_COMMON_H_INCLUDED
#define PSQT_H_INCLUDED #define NNUE_FEATURES_COMMON_H_INCLUDED
#include "../../evaluate.h"
#include "../nnue_common.h"
#include "types.h" namespace Eval::NNUE::Features {
class IndexList;
namespace Stockfish::PSQT template <typename... FeatureTypes>
{ class FeatureSet;
extern Score psq[PIECE_NB][SQUARE_NB]; // Trigger to perform full calculations instead of difference only
enum class TriggerEvent {
kFriendKingMoved // calculate full evaluation when own king moves
};
// Fill psqt array from a set of internally linked parameters enum class Side {
extern void init(); kFriend // side to move
};
} // namespace Stockfish::PSQT } // namespace Eval::NNUE::Features
#endif // #ifndef NNUE_FEATURES_COMMON_H_INCLUDED
#endif // PSQT_H_INCLUDED
-83
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@@ -1,83 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 "../../position.h"
namespace Stockfish::Eval::NNUE::Features {
// Orient a square according to perspective (rotates by 180 for black)
inline Square HalfKAv2_hm::orient(Color perspective, Square s, Square ksq) {
return Square(int(s) ^ (bool(perspective) * SQ_A8) ^ ((file_of(ksq) < FILE_E) * SQ_H1));
}
// Index of a feature for a given king position and another piece on some square
inline IndexType HalfKAv2_hm::make_index(Color perspective, Square s, Piece pc, Square ksq) {
Square o_ksq = orient(perspective, ksq, ksq);
return IndexType(orient(perspective, s, ksq) + PieceSquareIndex[perspective][pc] + PS_NB * KingBuckets[o_ksq]);
}
// Get a list of indices for active features
void HalfKAv2_hm::append_active_indices(
const Position& pos,
Color perspective,
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));
}
}
// append_changed_indices() : get a list of indices for recently changed features
void HalfKAv2_hm::append_changed_indices(
Square ksq,
const DirtyPiece& dp,
Color perspective,
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));
}
}
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
-124
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@@ -1,124 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 "../nnue_common.h"
#include "../../evaluate.h"
#include "../../misc.h"
namespace Stockfish {
struct StateInfo;
}
namespace Stockfish::Eval::NNUE::Features {
// Feature HalfKAv2_hm: Combination of the position of own king
// and the position of pieces. Position mirrored such that king always on e..h files.
class HalfKAv2_hm {
// unique number for each piece type on each square
enum {
PS_NONE = 0,
PS_W_PAWN = 0,
PS_B_PAWN = 1 * SQUARE_NB,
PS_W_KNIGHT = 2 * SQUARE_NB,
PS_B_KNIGHT = 3 * SQUARE_NB,
PS_W_BISHOP = 4 * SQUARE_NB,
PS_B_BISHOP = 5 * SQUARE_NB,
PS_W_ROOK = 6 * SQUARE_NB,
PS_B_ROOK = 7 * SQUARE_NB,
PS_W_QUEEN = 8 * SQUARE_NB,
PS_B_QUEEN = 9 * SQUARE_NB,
PS_KING = 10 * SQUARE_NB,
PS_NB = 11 * SQUARE_NB
};
static constexpr IndexType PieceSquareIndex[COLOR_NB][PIECE_NB] = {
// convention: W - us, B - them
// viewed from other side, W and B are reversed
{ PS_NONE, PS_W_PAWN, PS_W_KNIGHT, PS_W_BISHOP, PS_W_ROOK, PS_W_QUEEN, PS_KING, PS_NONE,
PS_NONE, PS_B_PAWN, PS_B_KNIGHT, PS_B_BISHOP, PS_B_ROOK, PS_B_QUEEN, PS_KING, PS_NONE },
{ PS_NONE, PS_B_PAWN, PS_B_KNIGHT, PS_B_BISHOP, PS_B_ROOK, PS_B_QUEEN, PS_KING, PS_NONE,
PS_NONE, PS_W_PAWN, PS_W_KNIGHT, PS_W_BISHOP, PS_W_ROOK, PS_W_QUEEN, PS_KING, PS_NONE }
};
// Orient a square according to perspective (rotates by 180 for black)
static Square orient(Color perspective, Square s, Square ksq);
// Index of a feature for a given king position and another piece on some square
static IndexType make_index(Color perspective, Square s, Piece pc, Square ksq);
public:
// Feature name
static constexpr const char* Name = "HalfKAv2_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;
static constexpr int KingBuckets[64] = {
-1, -1, -1, -1, 31, 30, 29, 28,
-1, -1, -1, -1, 27, 26, 25, 24,
-1, -1, -1, -1, 23, 22, 21, 20,
-1, -1, -1, -1, 19, 18, 17, 16,
-1, -1, -1, -1, 15, 14, 13, 12,
-1, -1, -1, -1, 11, 10, 9, 8,
-1, -1, -1, -1, 7, 6, 5, 4,
-1, -1, -1, -1, 3, 2, 1, 0
};
// Maximum number of simultaneously active features.
static constexpr IndexType MaxActiveDimensions = 32;
using IndexList = ValueList<IndexType, MaxActiveDimensions>;
// Get a list of indices for active features
static void append_active_indices(
const Position& pos,
Color perspective,
IndexList& active);
// Get a list of indices for recently changed features
static void append_changed_indices(
Square ksq,
const DirtyPiece& dp,
Color perspective,
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
+92
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@@ -0,0 +1,92 @@
/*
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
+67
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@@ -0,0 +1,67 @@
/*
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
+64
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@@ -0,0 +1,64 @@
/*
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
+150 -474
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -22,341 +22,180 @@
#define NNUE_LAYERS_AFFINE_TRANSFORM_H_INCLUDED #define NNUE_LAYERS_AFFINE_TRANSFORM_H_INCLUDED
#include <iostream> #include <iostream>
#include <algorithm>
#include <type_traits>
#include "../nnue_common.h" #include "../nnue_common.h"
#include "../../simd.h"
/* namespace Eval::NNUE::Layers {
This file contains the definition for a fully connected layer (aka affine transform).
Two approaches are employed, depending on the sizes of the transform.
Approach 1: // Affine transformation layer
- used when the PaddedInputDimensions >= 128 template <typename PreviousLayer, IndexType OutputDimensions>
- uses AVX512 if possible class AffineTransform {
- processes inputs in batches of 2*InputSimdWidth
- so in batches of 128 for AVX512
- the weight blocks of size InputSimdWidth are transposed such that
access is sequential
- N columns of the weight matrix are processed a time, where N
depends on the architecture (the amount of registers)
- accumulate + hadd is used
Approach 2:
- used when the PaddedInputDimensions < 128
- does not use AVX512
- expected use-case is for when PaddedInputDimensions == 32 and InputDimensions <= 32.
- that's why AVX512 is hard to implement
- expected use-case is small layers
- not optimized as well as the approach 1
- inputs are processed in chunks of 4, weights are respectively transposed
- accumulation happens directly to int32s
*/
namespace Stockfish::Eval::NNUE::Layers {
// Fallback implementation for older/other architectures.
// Identical for both approaches. Requires the input to be padded to at least 16 values.
#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)
// 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);
# elif defined(USE_MMX)
constexpr IndexType NumChunks = ceil_to_multiple<IndexType>(InputDimensions, 8) / 8;
const __m64 Zeros = _mm_setzero_si64();
const auto inputVector = reinterpret_cast<const __m64*>(input);
# elif defined(USE_NEON)
constexpr IndexType NumChunks = ceil_to_multiple<IndexType>(InputDimensions, 16) / 16;
const auto inputVector = reinterpret_cast<const int8x8_t*>(input);
# endif
for (IndexType i = 0; i < OutputDimensions; ++i) {
const IndexType offset = i * PaddedInputDimensions;
# if defined(USE_SSE2)
__m128i sumLo = _mm_cvtsi32_si128(biases[i]);
__m128i sumHi = Zeros;
const auto row = reinterpret_cast<const __m128i*>(&weights[offset]);
for (IndexType j = 0; j < NumChunks; ++j) {
__m128i row_j = _mm_load_si128(&row[j]);
__m128i input_j = _mm_load_si128(&inputVector[j]);
__m128i extendedRowLo = _mm_srai_epi16(_mm_unpacklo_epi8(row_j, row_j), 8);
__m128i extendedRowHi = _mm_srai_epi16(_mm_unpackhi_epi8(row_j, row_j), 8);
__m128i extendedInputLo = _mm_unpacklo_epi8(input_j, Zeros);
__m128i extendedInputHi = _mm_unpackhi_epi8(input_j, Zeros);
__m128i productLo = _mm_madd_epi16(extendedRowLo, extendedInputLo);
__m128i productHi = _mm_madd_epi16(extendedRowHi, extendedInputHi);
sumLo = _mm_add_epi32(sumLo, productLo);
sumHi = _mm_add_epi32(sumHi, productHi);
}
__m128i sum = _mm_add_epi32(sumLo, sumHi);
__m128i sumHigh_64 = _mm_shuffle_epi32(sum, _MM_SHUFFLE(1, 0, 3, 2));
sum = _mm_add_epi32(sum, sumHigh_64);
__m128i sum_second_32 = _mm_shufflelo_epi16(sum, _MM_SHUFFLE(1, 0, 3, 2));
sum = _mm_add_epi32(sum, sum_second_32);
output[i] = _mm_cvtsi128_si32(sum);
# elif defined(USE_MMX)
__m64 sumLo = _mm_cvtsi32_si64(biases[i]);
__m64 sumHi = Zeros;
const auto row = reinterpret_cast<const __m64*>(&weights[offset]);
for (IndexType j = 0; j < NumChunks; ++j) {
__m64 row_j = row[j];
__m64 input_j = inputVector[j];
__m64 extendedRowLo = _mm_srai_pi16(_mm_unpacklo_pi8(row_j, row_j), 8);
__m64 extendedRowHi = _mm_srai_pi16(_mm_unpackhi_pi8(row_j, row_j), 8);
__m64 extendedInputLo = _mm_unpacklo_pi8(input_j, Zeros);
__m64 extendedInputHi = _mm_unpackhi_pi8(input_j, Zeros);
__m64 productLo = _mm_madd_pi16(extendedRowLo, extendedInputLo);
__m64 productHi = _mm_madd_pi16(extendedRowHi, extendedInputHi);
sumLo = _mm_add_pi32(sumLo, productLo);
sumHi = _mm_add_pi32(sumHi, productHi);
}
__m64 sum = _mm_add_pi32(sumLo, sumHi);
sum = _mm_add_pi32(sum, _mm_unpackhi_pi32(sum, sum));
output[i] = _mm_cvtsi64_si32(sum);
# elif defined(USE_NEON)
int32x4_t sum = {biases[i]};
const auto row = reinterpret_cast<const int8x8_t*>(&weights[offset]);
for (IndexType j = 0; j < NumChunks; ++j) {
int16x8_t product = vmull_s8(inputVector[j * 2], row[j * 2]);
product = vmlal_s8(product, inputVector[j * 2 + 1], row[j * 2 + 1]);
sum = vpadalq_s16(sum, product);
}
output[i] = sum[0] + sum[1] + sum[2] + sum[3];
# else
std::int32_t sum = biases[i];
for (IndexType j = 0; j < InputDimensions; ++j) {
sum += weights[offset + j] * input[j];
}
output[i] = sum;
# endif
}
# if defined(USE_MMX)
_mm_empty();
# endif
}
#endif
template <IndexType InDims, IndexType OutDims, typename Enabled = void>
class AffineTransform;
// A specialization for large inputs.
template <IndexType InDims, IndexType OutDims>
class AffineTransform<InDims, OutDims, std::enable_if_t<(ceil_to_multiple<IndexType>(InDims, MaxSimdWidth) >= 2*64)>> {
public: public:
// Input/output type // Input/output type
using InputType = std::uint8_t; using InputType = typename PreviousLayer::OutputType;
using OutputType = std::int32_t; using OutputType = std::int32_t;
static_assert(std::is_same<InputType, std::uint8_t>::value, "");
// Number of input/output dimensions // Number of input/output dimensions
static constexpr IndexType InputDimensions = InDims; static constexpr IndexType kInputDimensions =
static constexpr IndexType OutputDimensions = OutDims; PreviousLayer::kOutputDimensions;
static constexpr IndexType kOutputDimensions = OutputDimensions;
static constexpr IndexType kPaddedInputDimensions =
CeilToMultiple<IndexType>(kInputDimensions, kMaxSimdWidth);
static constexpr IndexType PaddedInputDimensions = // Size of forward propagation buffer used in this layer
ceil_to_multiple<IndexType>(InputDimensions, MaxSimdWidth); static constexpr std::size_t kSelfBufferSize =
static constexpr IndexType PaddedOutputDimensions = CeilToMultiple(kOutputDimensions * sizeof(OutputType), kCacheLineSize);
ceil_to_multiple<IndexType>(OutputDimensions, MaxSimdWidth);
using OutputBuffer = OutputType[PaddedOutputDimensions]; // Size of the forward propagation buffer used from the input layer to this layer
static constexpr std::size_t kBufferSize =
static_assert(PaddedInputDimensions >= 128, "Something went wrong. This specialization should not have been chosen."); PreviousLayer::kBufferSize + kSelfBufferSize;
#if defined (USE_AVX512)
static constexpr const IndexType InputSimdWidth = 64;
static constexpr const IndexType MaxNumOutputRegs = 16;
#elif defined (USE_AVX2)
static constexpr const IndexType InputSimdWidth = 32;
static constexpr const IndexType MaxNumOutputRegs = 8;
#elif defined (USE_SSSE3)
static constexpr const IndexType InputSimdWidth = 16;
static constexpr const IndexType MaxNumOutputRegs = 8;
#elif defined (USE_NEON)
static constexpr const IndexType InputSimdWidth = 8;
static constexpr const IndexType MaxNumOutputRegs = 8;
#else
// The fallback implementation will not have permuted weights.
// We define these to avoid a lot of ifdefs later.
static constexpr const IndexType InputSimdWidth = 1;
static constexpr const IndexType MaxNumOutputRegs = 1;
#endif
// A big block is a region in the weight matrix of the size [PaddedInputDimensions, NumOutputRegs].
// A small block is a region of size [InputSimdWidth, 1]
static constexpr const IndexType NumOutputRegs = std::min(MaxNumOutputRegs, OutputDimensions);
static constexpr const IndexType SmallBlockSize = InputSimdWidth;
static constexpr const IndexType BigBlockSize = NumOutputRegs * PaddedInputDimensions;
static constexpr const IndexType NumSmallBlocksInBigBlock = BigBlockSize / SmallBlockSize;
static constexpr const IndexType NumSmallBlocksPerOutput = PaddedInputDimensions / SmallBlockSize;
static constexpr const IndexType NumBigBlocks = OutputDimensions / NumOutputRegs;
static_assert(OutputDimensions % NumOutputRegs == 0);
// Hash value embedded in the evaluation file // Hash value embedded in the evaluation file
static constexpr std::uint32_t get_hash_value(std::uint32_t prevHash) { static constexpr std::uint32_t GetHashValue() {
std::uint32_t hashValue = 0xCC03DAE4u; std::uint32_t hash_value = 0xCC03DAE4u;
hashValue += OutputDimensions; hash_value += kOutputDimensions;
hashValue ^= prevHash >> 1; hash_value ^= PreviousLayer::GetHashValue() >> 1;
hashValue ^= prevHash << 31; hash_value ^= PreviousLayer::GetHashValue() << 31;
return hashValue; return hash_value;
} }
/* // Read network parameters
Transposes the small blocks within a block. bool ReadParameters(std::istream& stream) {
Effectively means that weights can be traversed sequentially during inference. if (!previous_layer_.ReadParameters(stream)) return false;
*/ stream.read(reinterpret_cast<char*>(biases_),
static IndexType get_weight_index(IndexType i) kOutputDimensions * sizeof(BiasType));
{ stream.read(reinterpret_cast<char*>(weights_),
const IndexType smallBlock = (i / SmallBlockSize) % NumSmallBlocksInBigBlock; kOutputDimensions * kPaddedInputDimensions *
const IndexType smallBlockCol = smallBlock / NumSmallBlocksPerOutput; sizeof(WeightType));
const IndexType smallBlockRow = smallBlock % NumSmallBlocksPerOutput;
const IndexType bigBlock = i / BigBlockSize;
const IndexType rest = i % SmallBlockSize;
const IndexType idx =
bigBlock * BigBlockSize
+ smallBlockRow * SmallBlockSize * NumOutputRegs
+ smallBlockCol * SmallBlockSize
+ rest;
return idx;
}
// Read network parameters
bool read_parameters(std::istream& stream) {
for (IndexType i = 0; i < OutputDimensions; ++i)
biases[i] = read_little_endian<BiasType>(stream);
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 {
for (IndexType i = 0; i < OutputDimensions; ++i)
write_little_endian<BiasType>(stream, biases[i]);
for (IndexType i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
write_little_endian<WeightType>(stream, weights[get_weight_index(i)]);
return !stream.fail(); return !stream.fail();
} }
// Forward propagation // Forward propagation
const OutputType* propagate( const OutputType* Propagate(
const InputType* input, OutputType* output) const { 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) #if defined(USE_AVX512)
using acc_vec_t = __m512i; constexpr IndexType kNumChunks = kPaddedInputDimensions / (kSimdWidth * 2);
using bias_vec_t = __m128i; const __m512i kOnes = _mm512_set1_epi16(1);
using weight_vec_t = __m512i; const auto input_vector = reinterpret_cast<const __m512i*>(input);
using in_vec_t = __m512i;
#define vec_zero _mm512_setzero_si512()
#define vec_add_dpbusd_32x2 Simd::m512_add_dpbusd_epi32x2
#define vec_hadd Simd::m512_hadd
#define vec_haddx4 Simd::m512_haddx4
#elif defined (USE_AVX2)
using acc_vec_t = __m256i;
using bias_vec_t = __m128i;
using weight_vec_t = __m256i;
using in_vec_t = __m256i;
#define vec_zero _mm256_setzero_si256()
#define vec_add_dpbusd_32x2 Simd::m256_add_dpbusd_epi32x2
#define vec_hadd Simd::m256_hadd
#define vec_haddx4 Simd::m256_haddx4
#elif defined (USE_SSSE3)
using acc_vec_t = __m128i;
using bias_vec_t = __m128i;
using weight_vec_t = __m128i;
using in_vec_t = __m128i;
#define vec_zero _mm_setzero_si128()
#define vec_add_dpbusd_32x2 Simd::m128_add_dpbusd_epi32x2
#define vec_hadd Simd::m128_hadd
#define vec_haddx4 Simd::m128_haddx4
#elif defined (USE_NEON)
using acc_vec_t = int32x4_t;
using bias_vec_t = int32x4_t;
using weight_vec_t = int8x8_t;
using in_vec_t = int8x8_t;
#define vec_zero {0}
#define vec_add_dpbusd_32x2 Simd::neon_m128_add_dpbusd_epi32x2
#define vec_hadd Simd::neon_m128_hadd
#define vec_haddx4 Simd::neon_m128_haddx4
#endif
#if defined (USE_SSSE3) || defined (USE_NEON) #elif defined(USE_AVX2)
const in_vec_t* invec = reinterpret_cast<const in_vec_t*>(input); constexpr IndexType kNumChunks = kPaddedInputDimensions / kSimdWidth;
const __m256i kOnes = _mm256_set1_epi16(1);
const auto input_vector = reinterpret_cast<const __m256i*>(input);
// Perform accumulation to registers for each big block #elif defined(USE_SSSE3)
for (IndexType bigBlock = 0; bigBlock < NumBigBlocks; ++bigBlock) constexpr IndexType kNumChunks = kPaddedInputDimensions / kSimdWidth;
{ const __m128i kOnes = _mm_set1_epi16(1);
acc_vec_t acc[NumOutputRegs] = { vec_zero }; const auto input_vector = reinterpret_cast<const __m128i*>(input);
// Each big block has NumOutputRegs small blocks in each "row", one per register. #elif defined(USE_NEON)
// We process two small blocks at a time to save on one addition without VNNI. constexpr IndexType kNumChunks = kPaddedInputDimensions / kSimdWidth;
for (IndexType smallBlock = 0; smallBlock < NumSmallBlocksPerOutput; smallBlock += 2) 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);
}
output[i] = _mm512_reduce_add_epi32(sum) + biases_[i];
// Note: Changing kMaxSimdWidth from 32 to 64 breaks loading existing networks.
// As a result kPaddedInputDimensions may not be an even multiple of 64(512bit)
// and we have to do one more 256bit chunk.
if (kPaddedInputDimensions != kNumChunks * kSimdWidth * 2)
{ {
const weight_vec_t* weightvec = const auto iv_256 = reinterpret_cast<const __m256i*>(input);
reinterpret_cast<const weight_vec_t*>( const auto row_256 = reinterpret_cast<const __m256i*>(&weights_[offset]);
weights int j = kNumChunks * 2;
+ bigBlock * BigBlockSize
+ smallBlock * SmallBlockSize * NumOutputRegs);
const in_vec_t in0 = invec[smallBlock + 0]; #if defined(__MINGW32__) || defined(__MINGW64__) // See HACK comment below in AVX2.
const in_vec_t in1 = invec[smallBlock + 1]; __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
for (IndexType k = 0; k < NumOutputRegs; ++k) sum256 = _mm256_madd_epi16(sum256, _mm256_set1_epi16(1));
vec_add_dpbusd_32x2(acc[k], in0, weightvec[k], in1, weightvec[k + NumOutputRegs]); 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);
} }
// Horizontally add all accumulators. #elif defined(USE_AVX2)
if constexpr (NumOutputRegs % 4 == 0) __m256i sum = _mm256_setzero_si256();
{ const auto row = reinterpret_cast<const __m256i*>(&weights_[offset]);
bias_vec_t* outputvec = reinterpret_cast<bias_vec_t*>(output); for (IndexType j = 0; j < kNumChunks; ++j) {
const bias_vec_t* biasvec = reinterpret_cast<const bias_vec_t*>(biases); __m256i product = _mm256_maddubs_epi16(
for (IndexType k = 0; k < NumOutputRegs; k += 4) #if defined(__MINGW32__) || defined(__MINGW64__)
{ // HACK: Use _mm256_loadu_si256() instead of _mm256_load_si256. Because the binary
const IndexType idx = (bigBlock * NumOutputRegs + k) / 4; // compiled with g++ in MSYS2 crashes here because the output memory is not aligned
outputvec[idx] = vec_haddx4(acc[k+0], acc[k+1], acc[k+2], acc[k+3], biasvec[idx]); // 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);
} }
else sum = _mm256_hadd_epi32(sum, sum);
{ sum = _mm256_hadd_epi32(sum, sum);
for (IndexType k = 0; k < NumOutputRegs; ++k) const __m128i lo = _mm256_extracti128_si256(sum, 0);
{ const __m128i hi = _mm256_extracti128_si256(sum, 1);
const IndexType idx = (bigBlock * NumOutputRegs + k); output[i] = _mm_cvtsi128_si32(lo) + _mm_cvtsi128_si32(hi) + biases_[i];
output[idx] = vec_hadd(acc[k], biases[idx]);
} #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];
#else
OutputType sum = biases_[i];
for (IndexType j = 0; j < kInputDimensions; ++j) {
sum += weights_[offset + j] * input[j];
}
output[i] = sum;
#endif
} }
# undef vec_zero
# undef vec_add_dpbusd_32x2
# undef vec_hadd
# undef vec_haddx4
#else
// Use old implementation for the other architectures.
affine_transform_non_ssse3<
InputDimensions,
PaddedInputDimensions,
OutputDimensions>(output, weights, biases, input);
#endif
return output; return output;
} }
@@ -364,176 +203,13 @@ namespace Stockfish::Eval::NNUE::Layers {
using BiasType = OutputType; using BiasType = OutputType;
using WeightType = std::int8_t; using WeightType = std::int8_t;
alignas(CacheLineSize) BiasType biases[OutputDimensions]; PreviousLayer previous_layer_;
alignas(CacheLineSize) WeightType weights[OutputDimensions * PaddedInputDimensions];
alignas(kCacheLineSize) BiasType biases_[kOutputDimensions];
alignas(kCacheLineSize)
WeightType weights_[kOutputDimensions * kPaddedInputDimensions];
}; };
template <IndexType InDims, IndexType OutDims> } // namespace Eval::NNUE::Layers
class AffineTransform<InDims, OutDims, std::enable_if_t<(ceil_to_multiple<IndexType>(InDims, MaxSimdWidth) < 2*64)>> {
public:
// Input/output type
// Input/output type
using InputType = std::uint8_t;
using OutputType = std::int32_t;
// Number of input/output dimensions
static constexpr IndexType InputDimensions = InDims;
static constexpr IndexType OutputDimensions = OutDims;
static constexpr IndexType PaddedInputDimensions =
ceil_to_multiple<IndexType>(InputDimensions, MaxSimdWidth);
static constexpr IndexType PaddedOutputDimensions =
ceil_to_multiple<IndexType>(OutputDimensions, MaxSimdWidth);
using OutputBuffer = OutputType[PaddedOutputDimensions];
static_assert(PaddedInputDimensions < 128, "Something went wrong. This specialization should not have been chosen.");
#if defined (USE_SSSE3)
static constexpr const IndexType OutputSimdWidth = SimdWidth / 4;
static constexpr const IndexType InputSimdWidth = SimdWidth;
#endif
// Hash value embedded in the evaluation file
static constexpr std::uint32_t get_hash_value(std::uint32_t prevHash) {
std::uint32_t hashValue = 0xCC03DAE4u;
hashValue += OutputDimensions;
hashValue ^= prevHash >> 1;
hashValue ^= prevHash << 31;
return hashValue;
}
static IndexType get_weight_index_scrambled(IndexType i)
{
return
(i / 4) % (PaddedInputDimensions / 4) * OutputDimensions * 4 +
i / PaddedInputDimensions * 4 +
i % 4;
}
static IndexType get_weight_index(IndexType i)
{
#if defined (USE_SSSE3)
return get_weight_index_scrambled(i);
#else
return i;
#endif
}
// Read network parameters
bool read_parameters(std::istream& stream) {
for (IndexType i = 0; i < OutputDimensions; ++i)
biases[i] = read_little_endian<BiasType>(stream);
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 {
for (IndexType i = 0; i < OutputDimensions; ++i)
write_little_endian<BiasType>(stream, biases[i]);
for (IndexType i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
write_little_endian<WeightType>(stream, weights[get_weight_index(i)]);
return !stream.fail();
}
// Forward propagation
const OutputType* propagate(
const InputType* input, OutputType* output) const {
#if defined (USE_AVX2)
using vec_t = __m256i;
#define vec_setzero _mm256_setzero_si256
#define vec_set_32 _mm256_set1_epi32
#define vec_add_dpbusd_32 Simd::m256_add_dpbusd_epi32
#define vec_add_dpbusd_32x2 Simd::m256_add_dpbusd_epi32x2
#define vec_add_dpbusd_32x4 Simd::m256_add_dpbusd_epi32x4
#define vec_hadd Simd::m256_hadd
#define vec_haddx4 Simd::m256_haddx4
#elif defined (USE_SSSE3)
using vec_t = __m128i;
#define vec_setzero _mm_setzero_si128
#define vec_set_32 _mm_set1_epi32
#define vec_add_dpbusd_32 Simd::m128_add_dpbusd_epi32
#define vec_add_dpbusd_32x2 Simd::m128_add_dpbusd_epi32x2
#define vec_add_dpbusd_32x4 Simd::m128_add_dpbusd_epi32x4
#define vec_hadd Simd::m128_hadd
#define vec_haddx4 Simd::m128_haddx4
#endif
#if defined (USE_SSSE3)
const auto inputVector = reinterpret_cast<const vec_t*>(input);
static_assert(OutputDimensions % OutputSimdWidth == 0 || OutputDimensions == 1);
if constexpr (OutputDimensions % OutputSimdWidth == 0)
{
constexpr IndexType NumChunks = ceil_to_multiple<IndexType>(InputDimensions, 8) / 4;
constexpr IndexType NumRegs = OutputDimensions / OutputSimdWidth;
const auto input32 = reinterpret_cast<const std::int32_t*>(input);
const vec_t* biasvec = reinterpret_cast<const vec_t*>(biases);
vec_t acc[NumRegs];
for (IndexType k = 0; k < NumRegs; ++k)
acc[k] = biasvec[k];
for (IndexType i = 0; i < NumChunks; i += 2)
{
const vec_t in0 = vec_set_32(input32[i + 0]);
const vec_t in1 = vec_set_32(input32[i + 1]);
const auto col0 = reinterpret_cast<const vec_t*>(&weights[(i + 0) * OutputDimensions * 4]);
const auto col1 = reinterpret_cast<const vec_t*>(&weights[(i + 1) * OutputDimensions * 4]);
for (IndexType k = 0; k < NumRegs; ++k)
vec_add_dpbusd_32x2(acc[k], in0, col0[k], in1, col1[k]);
}
vec_t* outptr = reinterpret_cast<vec_t*>(output);
for (IndexType k = 0; k < NumRegs; ++k)
outptr[k] = acc[k];
}
else if constexpr (OutputDimensions == 1)
{
constexpr IndexType NumChunks = PaddedInputDimensions / SimdWidth;
vec_t sum0 = vec_setzero();
const auto row0 = reinterpret_cast<const vec_t*>(&weights[0]);
for (int j = 0; j < (int)NumChunks; ++j)
{
const vec_t in = inputVector[j];
vec_add_dpbusd_32(sum0, in, row0[j]);
}
output[0] = vec_hadd(sum0, biases[0]);
}
# undef vec_setzero
# undef vec_set_32
# undef vec_add_dpbusd_32
# undef vec_add_dpbusd_32x2
# undef vec_add_dpbusd_32x4
# undef vec_hadd
# undef vec_haddx4
#else
// Use old implementation for the other architectures.
affine_transform_non_ssse3<
InputDimensions,
PaddedInputDimensions,
OutputDimensions>(output, weights, biases, input);
#endif
return output;
}
private:
using BiasType = OutputType;
using WeightType = std::int8_t;
alignas(CacheLineSize) BiasType biases[OutputDimensions];
alignas(CacheLineSize) WeightType weights[OutputDimensions * PaddedInputDimensions];
};
} // namespace Stockfish::Eval::NNUE::Layers
#endif // #ifndef NNUE_LAYERS_AFFINE_TRANSFORM_H_INCLUDED #endif // #ifndef NNUE_LAYERS_AFFINE_TRANSFORM_H_INCLUDED
+102 -96
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -23,158 +23,164 @@
#include "../nnue_common.h" #include "../nnue_common.h"
namespace Stockfish::Eval::NNUE::Layers { namespace Eval::NNUE::Layers {
// Clipped ReLU // Clipped ReLU
template <IndexType InDims> template <typename PreviousLayer>
class ClippedReLU { class ClippedReLU {
public: public:
// Input/output type // Input/output type
using InputType = std::int32_t; using InputType = typename PreviousLayer::OutputType;
using OutputType = std::uint8_t; using OutputType = std::uint8_t;
static_assert(std::is_same<InputType, std::int32_t>::value, "");
// Number of input/output dimensions // Number of input/output dimensions
static constexpr IndexType InputDimensions = InDims; static constexpr IndexType kInputDimensions =
static constexpr IndexType OutputDimensions = InputDimensions; PreviousLayer::kOutputDimensions;
static constexpr IndexType PaddedOutputDimensions = static constexpr IndexType kOutputDimensions = kInputDimensions;
ceil_to_multiple<IndexType>(OutputDimensions, 32);
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 // Hash value embedded in the evaluation file
static constexpr std::uint32_t get_hash_value(std::uint32_t prevHash) { static constexpr std::uint32_t GetHashValue() {
std::uint32_t hashValue = 0x538D24C7u; std::uint32_t hash_value = 0x538D24C7u;
hashValue += prevHash; hash_value += PreviousLayer::GetHashValue();
return hashValue; return hash_value;
} }
// Read network parameters // Read network parameters
bool read_parameters(std::istream&) { bool ReadParameters(std::istream& stream) {
return true; return previous_layer_.ReadParameters(stream);
}
// Write network parameters
bool write_parameters(std::ostream&) const {
return true;
} }
// Forward propagation // Forward propagation
const OutputType* propagate( const OutputType* Propagate(
const InputType* input, OutputType* output) const { 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 defined(USE_AVX2)
if constexpr (InputDimensions % SimdWidth == 0) { constexpr IndexType kNumChunks = kInputDimensions / kSimdWidth;
constexpr IndexType NumChunks = InputDimensions / SimdWidth; const __m256i kZero = _mm256_setzero_si256();
const __m256i Zero = _mm256_setzero_si256(); const __m256i kOffsets = _mm256_set_epi32(7, 3, 6, 2, 5, 1, 4, 0);
const __m256i Offsets = _mm256_set_epi32(7, 3, 6, 2, 5, 1, 4, 0); const auto in = reinterpret_cast<const __m256i*>(input);
const auto in = reinterpret_cast<const __m256i*>(input); const auto out = reinterpret_cast<__m256i*>(output);
const auto out = reinterpret_cast<__m256i*>(output); for (IndexType i = 0; i < kNumChunks; ++i) {
for (IndexType i = 0; i < NumChunks; ++i) { const __m256i words0 = _mm256_srai_epi16(_mm256_packs_epi32(
const __m256i words0 = _mm256_srai_epi16(_mm256_packs_epi32(
_mm256_load_si256(&in[i * 4 + 0]),
_mm256_load_si256(&in[i * 4 + 1])), WeightScaleBits);
const __m256i words1 = _mm256_srai_epi16(_mm256_packs_epi32(
_mm256_load_si256(&in[i * 4 + 2]),
_mm256_load_si256(&in[i * 4 + 3])), WeightScaleBits);
_mm256_store_si256(&out[i], _mm256_permutevar8x32_epi32(_mm256_max_epi8(
_mm256_packs_epi16(words0, words1), Zero), Offsets));
}
} else {
constexpr IndexType NumChunks = InputDimensions / (SimdWidth / 2);
const __m128i Zero = _mm_setzero_si128();
const auto in = reinterpret_cast<const __m128i*>(input);
const auto out = reinterpret_cast<__m128i*>(output);
for (IndexType i = 0; i < NumChunks; ++i) {
const __m128i words0 = _mm_srai_epi16(_mm_packs_epi32(
_mm_load_si128(&in[i * 4 + 0]),
_mm_load_si128(&in[i * 4 + 1])), WeightScaleBits);
const __m128i words1 = _mm_srai_epi16(_mm_packs_epi32(
_mm_load_si128(&in[i * 4 + 2]),
_mm_load_si128(&in[i * 4 + 3])), WeightScaleBits);
const __m128i packedbytes = _mm_packs_epi16(words0, words1);
_mm_store_si128(&out[i], _mm_max_epi8(packedbytes, Zero));
}
}
constexpr IndexType Start =
InputDimensions % SimdWidth == 0
? InputDimensions / SimdWidth * SimdWidth
: InputDimensions / (SimdWidth / 2) * (SimdWidth / 2);
#elif defined(USE_SSE2) #if defined(__MINGW32__) || defined(__MINGW64__)
constexpr IndexType NumChunks = InputDimensions / SimdWidth; // 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
(&in[i * 4 + 0]),
#if defined(__MINGW32__) || defined(__MINGW64__)
_mm256_loadu_si256
#else
_mm256_load_si256
#endif
(&in[i * 4 + 1])), kWeightScaleBits);
const __m256i words1 = _mm256_srai_epi16(_mm256_packs_epi32(
#if defined(__MINGW32__) || defined(__MINGW64__)
_mm256_loadu_si256
#else
_mm256_load_si256
#endif
(&in[i * 4 + 2]),
#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 #ifdef USE_SSE41
const __m128i Zero = _mm_setzero_si128(); const __m128i kZero = _mm_setzero_si128();
#else #else
const __m128i k0x80s = _mm_set1_epi8(-128); const __m128i k0x80s = _mm_set1_epi8(-128);
#endif #endif
const auto in = reinterpret_cast<const __m128i*>(input); const auto in = reinterpret_cast<const __m128i*>(input);
const auto out = reinterpret_cast<__m128i*>(output); const auto out = reinterpret_cast<__m128i*>(output);
for (IndexType i = 0; i < NumChunks; ++i) { for (IndexType i = 0; i < kNumChunks; ++i) {
const __m128i words0 = _mm_srai_epi16(_mm_packs_epi32( const __m128i words0 = _mm_srai_epi16(_mm_packs_epi32(
_mm_load_si128(&in[i * 4 + 0]), _mm_load_si128(&in[i * 4 + 0]),
_mm_load_si128(&in[i * 4 + 1])), WeightScaleBits); _mm_load_si128(&in[i * 4 + 1])), kWeightScaleBits);
const __m128i words1 = _mm_srai_epi16(_mm_packs_epi32( const __m128i words1 = _mm_srai_epi16(_mm_packs_epi32(
_mm_load_si128(&in[i * 4 + 2]), _mm_load_si128(&in[i * 4 + 2]),
_mm_load_si128(&in[i * 4 + 3])), WeightScaleBits); _mm_load_si128(&in[i * 4 + 3])), kWeightScaleBits);
const __m128i packedbytes = _mm_packs_epi16(words0, words1); const __m128i packedbytes = _mm_packs_epi16(words0, words1);
_mm_store_si128(&out[i], _mm_store_si128(&out[i],
#ifdef USE_SSE41 #ifdef USE_SSE41
_mm_max_epi8(packedbytes, Zero) _mm_max_epi8(packedbytes, kZero)
#else #else
_mm_subs_epi8(_mm_adds_epi8(packedbytes, k0x80s), k0x80s) _mm_subs_epi8(_mm_adds_epi8(packedbytes, k0x80s), k0x80s)
#endif #endif
); );
} }
constexpr IndexType Start = NumChunks * SimdWidth; constexpr IndexType kStart = kNumChunks * kSimdWidth;
#elif defined(USE_MMX)
constexpr IndexType NumChunks = InputDimensions / SimdWidth;
const __m64 k0x80s = _mm_set1_pi8(-128);
const auto in = reinterpret_cast<const __m64*>(input);
const auto out = reinterpret_cast<__m64*>(output);
for (IndexType i = 0; i < NumChunks; ++i) {
const __m64 words0 = _mm_srai_pi16(
_mm_packs_pi32(in[i * 4 + 0], in[i * 4 + 1]),
WeightScaleBits);
const __m64 words1 = _mm_srai_pi16(
_mm_packs_pi32(in[i * 4 + 2], in[i * 4 + 3]),
WeightScaleBits);
const __m64 packedbytes = _mm_packs_pi16(words0, words1);
out[i] = _mm_subs_pi8(_mm_adds_pi8(packedbytes, k0x80s), k0x80s);
}
_mm_empty();
constexpr IndexType Start = NumChunks * SimdWidth;
#elif defined(USE_NEON) #elif defined(USE_NEON)
constexpr IndexType NumChunks = InputDimensions / (SimdWidth / 2); constexpr IndexType kNumChunks = kInputDimensions / (kSimdWidth / 2);
const int8x8_t Zero = {0}; const int8x8_t kZero = {0};
const auto in = reinterpret_cast<const int32x4_t*>(input); const auto in = reinterpret_cast<const int32x4_t*>(input);
const auto out = reinterpret_cast<int8x8_t*>(output); const auto out = reinterpret_cast<int8x8_t*>(output);
for (IndexType i = 0; i < NumChunks; ++i) { for (IndexType i = 0; i < kNumChunks; ++i) {
int16x8_t shifted; int16x8_t shifted;
const auto pack = reinterpret_cast<int16x4_t*>(&shifted); const auto pack = reinterpret_cast<int16x4_t*>(&shifted);
pack[0] = vqshrn_n_s32(in[i * 2 + 0], WeightScaleBits); pack[0] = vqshrn_n_s32(in[i * 2 + 0], kWeightScaleBits);
pack[1] = vqshrn_n_s32(in[i * 2 + 1], WeightScaleBits); pack[1] = vqshrn_n_s32(in[i * 2 + 1], kWeightScaleBits);
out[i] = vmax_s8(vqmovn_s16(shifted), Zero); out[i] = vmax_s8(vqmovn_s16(shifted), kZero);
} }
constexpr IndexType Start = NumChunks * (SimdWidth / 2); constexpr IndexType kStart = kNumChunks * (kSimdWidth / 2);
#else #else
constexpr IndexType Start = 0; constexpr IndexType kStart = 0;
#endif #endif
for (IndexType i = Start; i < InputDimensions; ++i) { for (IndexType i = kStart; i < kInputDimensions; ++i) {
output[i] = static_cast<OutputType>( output[i] = static_cast<OutputType>(
std::max(0, std::min(127, input[i] >> WeightScaleBits))); std::max(0, std::min(127, input[i] >> kWeightScaleBits)));
} }
return output; return output;
} }
private:
PreviousLayer previous_layer_;
}; };
} // namespace Stockfish::Eval::NNUE::Layers } // namespace Eval::NNUE::Layers
#endif // NNUE_LAYERS_CLIPPED_RELU_H_INCLUDED #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
+9 -7
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -23,15 +23,17 @@
#include "nnue_architecture.h" #include "nnue_architecture.h"
namespace Stockfish::Eval::NNUE { namespace Eval::NNUE {
// Class that holds the result of affine transformation of input features // Class that holds the result of affine transformation of input features
struct alignas(CacheLineSize) Accumulator { struct alignas(32) Accumulator {
std::int16_t accumulation[2][TransformedFeatureDimensions]; std::int16_t
std::int32_t psqtAccumulation[2][PSQTBuckets]; accumulation[2][kRefreshTriggers.size()][kTransformedFeatureDimensions];
bool computed[2]; 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
+10 -105
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -21,113 +21,18 @@
#ifndef NNUE_ARCHITECTURE_H_INCLUDED #ifndef NNUE_ARCHITECTURE_H_INCLUDED
#define NNUE_ARCHITECTURE_H_INCLUDED #define NNUE_ARCHITECTURE_H_INCLUDED
#include <memory> // Defines the network structure
#include "architectures/halfkp_256x2-32-32.h"
#include "nnue_common.h" namespace Eval::NNUE {
#include "features/half_ka_v2_hm.h" static_assert(kTransformedFeatureDimensions % kMaxSimdWidth == 0, "");
static_assert(Network::kOutputDimensions == 1, "");
static_assert(std::is_same<Network::OutputType, std::int32_t>::value, "");
#include "layers/affine_transform.h" // Trigger for full calculation instead of difference calculation
#include "layers/clipped_relu.h" constexpr auto kRefreshTriggers = RawFeatures::kRefreshTriggers;
#include "../misc.h" } // namespace Eval::NNUE
namespace Stockfish::Eval::NNUE {
// Input features used in evaluation function
using FeatureSet = Features::HalfKAv2_hm;
// Number of input feature dimensions after conversion
constexpr IndexType TransformedFeatureDimensions = 1024;
constexpr IndexType PSQTBuckets = 8;
constexpr IndexType LayerStacks = 8;
struct Network
{
static constexpr int FC_0_OUTPUTS = 15;
static constexpr int FC_1_OUTPUTS = 32;
Layers::AffineTransform<TransformedFeatureDimensions, FC_0_OUTPUTS + 1> fc_0;
Layers::ClippedReLU<FC_0_OUTPUTS + 1> ac_0;
Layers::AffineTransform<FC_0_OUTPUTS, 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) {
if (!fc_0.read_parameters(stream)) return false;
if (!ac_0.read_parameters(stream)) return false;
if (!fc_1.read_parameters(stream)) return false;
if (!ac_1.read_parameters(stream)) return false;
if (!fc_2.read_parameters(stream)) return false;
return true;
}
// Read network parameters
bool write_parameters(std::ostream& stream) const {
if (!fc_0.write_parameters(stream)) return false;
if (!ac_0.write_parameters(stream)) return false;
if (!fc_1.write_parameters(stream)) return false;
if (!ac_1.write_parameters(stream)) return false;
if (!fc_2.write_parameters(stream)) return false;
return true;
}
std::int32_t propagate(const TransformedFeatureType* transformedFeatures)
{
struct alignas(CacheLineSize) Buffer
{
alignas(CacheLineSize) decltype(fc_0)::OutputBuffer fc_0_out;
alignas(CacheLineSize) decltype(ac_0)::OutputBuffer ac_0_out;
alignas(CacheLineSize) decltype(fc_1)::OutputBuffer fc_1_out;
alignas(CacheLineSize) decltype(ac_1)::OutputBuffer ac_1_out;
alignas(CacheLineSize) decltype(fc_2)::OutputBuffer fc_2_out;
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_0.propagate(buffer.fc_0_out, buffer.ac_0_out);
fc_1.propagate(buffer.ac_0_out, buffer.fc_1_out);
ac_1.propagate(buffer.fc_1_out, buffer.ac_1_out);
fc_2.propagate(buffer.ac_1_out, buffer.fc_2_out);
// buffer.fc_0_out[FC_0_OUTPUTS] is such that 1.0 is equal to 127*(1<<WeightScaleBits) in quantized form
// but we want 1.0 to be equal to 600*OutputScale
std::int32_t fwdOut = int(buffer.fc_0_out[FC_0_OUTPUTS]) * (600*OutputScale) / (127*(1<<WeightScaleBits));
std::int32_t outputValue = buffer.fc_2_out[0] + fwdOut;
return outputValue;
}
};
} // namespace Stockfish::Eval::NNUE
#endif // #ifndef NNUE_ARCHITECTURE_H_INCLUDED #endif // #ifndef NNUE_ARCHITECTURE_H_INCLUDED
+13 -100
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@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -21,11 +21,6 @@
#ifndef NNUE_COMMON_H_INCLUDED #ifndef NNUE_COMMON_H_INCLUDED
#define NNUE_COMMON_H_INCLUDED #define NNUE_COMMON_H_INCLUDED
#include <cstring>
#include <iostream>
#include "../misc.h" // for IsLittleEndian
#if defined(USE_AVX2) #if defined(USE_AVX2)
#include <immintrin.h> #include <immintrin.h>
@@ -38,40 +33,34 @@
#elif defined(USE_SSE2) #elif defined(USE_SSE2)
#include <emmintrin.h> #include <emmintrin.h>
#elif defined(USE_MMX)
#include <mmintrin.h>
#elif defined(USE_NEON) #elif defined(USE_NEON)
#include <arm_neon.h> #include <arm_neon.h>
#endif #endif
namespace Stockfish::Eval::NNUE { namespace Eval::NNUE {
// Version of the evaluation file // Version of the evaluation file
constexpr std::uint32_t Version = 0x7AF32F20u; constexpr std::uint32_t kVersion = 0x7AF32F16u;
// Constant used in evaluation value calculation // Constant used in evaluation value calculation
constexpr int OutputScale = 16; constexpr int FV_SCALE = 16;
constexpr int WeightScaleBits = 6; constexpr int kWeightScaleBits = 6;
// Size of cache line (in bytes) // Size of cache line (in bytes)
constexpr std::size_t CacheLineSize = 64; constexpr std::size_t kCacheLineSize = 64;
// SIMD width (in bytes) // SIMD width (in bytes)
#if defined(USE_AVX2) #if defined(USE_AVX2)
constexpr std::size_t SimdWidth = 32; constexpr std::size_t kSimdWidth = 32;
#elif defined(USE_SSE2) #elif defined(USE_SSE2)
constexpr std::size_t SimdWidth = 16; constexpr std::size_t kSimdWidth = 16;
#elif defined(USE_MMX)
constexpr std::size_t SimdWidth = 8;
#elif defined(USE_NEON) #elif defined(USE_NEON)
constexpr std::size_t SimdWidth = 16; constexpr std::size_t kSimdWidth = 16;
#endif #endif
constexpr std::size_t MaxSimdWidth = 32; constexpr std::size_t kMaxSimdWidth = 32;
// Type of input feature after conversion // Type of input feature after conversion
using TransformedFeatureType = std::uint8_t; using TransformedFeatureType = std::uint8_t;
@@ -79,86 +68,10 @@ namespace Stockfish::Eval::NNUE {
// Round n up to be a multiple of base // Round n up to be a multiple of base
template <typename IntType> template <typename IntType>
constexpr IntType ceil_to_multiple(IntType n, IntType base) { constexpr IntType CeilToMultiple(IntType n, IntType base) {
return (n + base - 1) / base * base; return (n + base - 1) / base * base;
} }
// read_little_endian() is our utility to read an integer (signed or unsigned, any size) } // namespace Eval::NNUE
// from a stream in little-endian order. We swap the byte order after the read if
// necessary to return a result with the byte ordering of the compiling machine.
template <typename IntType>
inline IntType read_little_endian(std::istream& stream) {
IntType result;
if (IsLittleEndian)
stream.read(reinterpret_cast<char*>(&result), sizeof(IntType));
else
{
std::uint8_t u[sizeof(IntType)];
typename std::make_unsigned<IntType>::type v = 0;
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;
}
// write_little_endian() is our utility to write an integer (signed or unsigned, any size)
// to a stream in little-endian order. We swap the byte order before the write if
// necessary to always write in little endian order, independently of the byte
// ordering of the compiling machine.
template <typename IntType>
inline void write_little_endian(std::ostream& stream, IntType value) {
if (IsLittleEndian)
stream.write(reinterpret_cast<const char*>(&value), sizeof(IntType));
else
{
std::uint8_t u[sizeof(IntType)];
typename std::make_unsigned<IntType>::type v = value;
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_little_endian(s, out, N) : read integers in bulk from a little indian stream.
// This reads N integers from stream s and put them in array out.
template <typename IntType>
inline void read_little_endian(std::istream& stream, IntType* out, std::size_t count) {
if (IsLittleEndian)
stream.read(reinterpret_cast<char*>(out), sizeof(IntType) * count);
else
for (std::size_t i = 0; i < count; ++i)
out[i] = read_little_endian<IntType>(stream);
}
// write_little_endian(s, values, N) : write integers in bulk to a little indian stream.
// This takes N integers from array values and writes them on stream s.
template <typename IntType>
inline void write_little_endian(std::ostream& stream, const IntType* values, std::size_t count) {
if (IsLittleEndian)
stream.write(reinterpret_cast<const char*>(values), sizeof(IntType) * count);
else
for (std::size_t i = 0; i < count; ++i)
write_little_endian<IntType>(stream, values[i]);
}
} // namespace Stockfish::Eval::NNUE
#endif // #ifndef NNUE_COMMON_H_INCLUDED #endif // #ifndef NNUE_COMMON_H_INCLUDED
+276 -509
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -23,566 +23,333 @@
#include "nnue_common.h" #include "nnue_common.h"
#include "nnue_architecture.h" #include "nnue_architecture.h"
#include "features/index_list.h"
#include <cstring> // std::memset() #include <cstring> // std::memset()
namespace Stockfish::Eval::NNUE { namespace Eval::NNUE {
using BiasType = std::int16_t;
using WeightType = std::int16_t;
using PSQTWeightType = std::int32_t;
// If vector instructions are enabled, we update and refresh the
// accumulator tile by tile such that each tile fits in the CPU's
// vector registers.
#define VECTOR
static_assert(PSQTBuckets % 8 == 0,
"Per feature PSQT values cannot be processed at granularity lower than 8 at a time.");
#ifdef USE_AVX512
typedef __m512i vec_t;
typedef __m256i psqt_vec_t;
#define vec_load(a) _mm512_load_si512(a)
#define vec_store(a,b) _mm512_store_si512(a,b)
#define vec_add_16(a,b) _mm512_add_epi16(a,b)
#define vec_sub_16(a,b) _mm512_sub_epi16(a,b)
#define vec_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 32
#define MaxChunkSize 64
#elif USE_AVX2
typedef __m256i vec_t;
typedef __m256i psqt_vec_t;
#define vec_load(a) _mm256_load_si256(a)
#define vec_store(a,b) _mm256_store_si256(a,b)
#define vec_add_16(a,b) _mm256_add_epi16(a,b)
#define vec_sub_16(a,b) _mm256_sub_epi16(a,b)
#define vec_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
typedef __m128i vec_t;
typedef __m128i psqt_vec_t;
#define vec_load(a) (*(a))
#define vec_store(a,b) *(a)=(b)
#define vec_add_16(a,b) _mm_add_epi16(a,b)
#define vec_sub_16(a,b) _mm_sub_epi16(a,b)
#define vec_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_MMX
typedef __m64 vec_t;
typedef __m64 psqt_vec_t;
#define vec_load(a) (*(a))
#define vec_store(a,b) *(a)=(b)
#define vec_add_16(a,b) _mm_add_pi16(a,b)
#define vec_sub_16(a,b) _mm_sub_pi16(a,b)
#define vec_mul_16(a,b) _mm_mullo_pi16(a,b)
#define vec_zero() _mm_setzero_si64()
#define vec_set_16(a) _mm_set1_pi16(a)
inline vec_t vec_max_16(vec_t a,vec_t b){
vec_t comparison = _mm_cmpgt_pi16(a,b);
return _mm_or_si64(_mm_and_si64(comparison, a), _mm_andnot_si64(comparison, b));
}
inline vec_t vec_min_16(vec_t a,vec_t b){
vec_t comparison = _mm_cmpgt_pi16(a,b);
return _mm_or_si64(_mm_and_si64(comparison, b), _mm_andnot_si64(comparison, a));
}
#define vec_msb_pack_16(a,b) _mm_packs_pi16(_mm_srli_pi16(a,7),_mm_srli_pi16(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_pi32(a,b)
#define vec_sub_psqt_32(a,b) _mm_sub_pi32(a,b)
#define vec_zero_psqt() _mm_setzero_si64()
#define vec_cleanup() _mm_empty()
#define NumRegistersSIMD 8
#define MaxChunkSize 8
#elif USE_NEON
typedef int16x8_t vec_t;
typedef int32x4_t psqt_vec_t;
#define vec_load(a) (*(a))
#define vec_store(a,b) *(a)=(b)
#define vec_add_16(a,b) vaddq_s16(a,b)
#define vec_sub_16(a,b) vsubq_s16(a,b)
#define vec_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;
}
static constexpr int NumRegs = BestRegisterCount<vec_t, WeightType, TransformedFeatureDimensions, NumRegistersSIMD>();
static constexpr int NumPsqtRegs = BestRegisterCount<psqt_vec_t, PSQTWeightType, PSQTBuckets, NumRegistersSIMD>();
#if defined(__GNUC__)
#pragma GCC diagnostic pop
#endif
#endif
// Input feature converter // Input feature converter
class FeatureTransformer { class FeatureTransformer {
private: private:
// Number of output dimensions for one side // Number of output dimensions for one side
static constexpr IndexType HalfDimensions = TransformedFeatureDimensions; static constexpr IndexType kHalfDimensions = kTransformedFeatureDimensions;
#ifdef VECTOR
static constexpr IndexType TileHeight = NumRegs * sizeof(vec_t) / 2;
static constexpr IndexType PsqtTileHeight = NumPsqtRegs * sizeof(psqt_vec_t) / 4;
static_assert(HalfDimensions % TileHeight == 0, "TileHeight must divide HalfDimensions");
static_assert(PSQTBuckets % PsqtTileHeight == 0, "PsqtTileHeight must divide PSQTBuckets");
#endif
public: public:
// Output type // Output type
using OutputType = TransformedFeatureType; using OutputType = TransformedFeatureType;
// Number of input/output dimensions // Number of input/output dimensions
static constexpr IndexType InputDimensions = FeatureSet::Dimensions; static constexpr IndexType kInputDimensions = RawFeatures::kDimensions;
static constexpr IndexType OutputDimensions = HalfDimensions; static constexpr IndexType kOutputDimensions = kHalfDimensions * 2;
// Size of forward propagation buffer // Size of forward propagation buffer
static constexpr std::size_t BufferSize = static constexpr std::size_t kBufferSize =
OutputDimensions * sizeof(OutputType); kOutputDimensions * sizeof(OutputType);
// Hash value embedded in the evaluation file // Hash value embedded in the evaluation file
static constexpr std::uint32_t get_hash_value() { static constexpr std::uint32_t GetHashValue() {
return FeatureSet::HashValue ^ (OutputDimensions * 2); return RawFeatures::kHashValue ^ kOutputDimensions;
} }
// Read network parameters // Read network parameters
bool read_parameters(std::istream& stream) { bool ReadParameters(std::istream& stream) {
stream.read(reinterpret_cast<char*>(biases_),
read_little_endian<BiasType >(stream, biases , HalfDimensions ); kHalfDimensions * sizeof(BiasType));
read_little_endian<WeightType >(stream, weights , HalfDimensions * InputDimensions); stream.read(reinterpret_cast<char*>(weights_),
read_little_endian<PSQTWeightType>(stream, psqtWeights, PSQTBuckets * InputDimensions); kHalfDimensions * kInputDimensions * sizeof(WeightType));
return !stream.fail(); return !stream.fail();
} }
// Write network parameters // Proceed with the difference calculation if possible
bool write_parameters(std::ostream& stream) const { bool UpdateAccumulatorIfPossible(const Position& pos) const {
const auto now = pos.state();
write_little_endian<BiasType >(stream, biases , HalfDimensions ); if (now->accumulator.computed_accumulation) {
write_little_endian<WeightType >(stream, weights , HalfDimensions * InputDimensions); return true;
write_little_endian<PSQTWeightType>(stream, psqtWeights, PSQTBuckets * InputDimensions); }
const auto prev = now->previous;
return !stream.fail(); if (prev && prev->accumulator.computed_accumulation) {
UpdateAccumulator(pos);
return true;
}
return false;
} }
// Convert input features // Convert input features
std::int32_t transform(const Position& pos, OutputType* output, int bucket) const { void Transform(const Position& pos, OutputType* output, bool refresh) const {
update_accumulator(pos, WHITE); if (refresh || !UpdateAccumulatorIfPossible(pos)) {
update_accumulator(pos, BLACK); RefreshAccumulator(pos);
}
const auto& accumulation = pos.state()->accumulator.accumulation;
#if defined(USE_AVX2)
constexpr IndexType kNumChunks = kHalfDimensions / kSimdWidth;
constexpr int kControl = 0b11011000;
const __m256i kZero = _mm256_setzero_si256();
#elif defined(USE_SSSE3)
constexpr IndexType kNumChunks = kHalfDimensions / kSimdWidth;
#ifdef USE_SSE41
const __m128i kZero = _mm_setzero_si128();
#else
const __m128i k0x80s = _mm_set1_epi8(-128);
#endif
#elif defined(USE_NEON)
constexpr IndexType kNumChunks = kHalfDimensions / (kSimdWidth / 2);
const int8x8_t kZero = {0};
#endif
const Color perspectives[2] = {pos.side_to_move(), ~pos.side_to_move()}; const Color perspectives[2] = {pos.side_to_move(), ~pos.side_to_move()};
const auto& accumulation = pos.state()->accumulator.accumulation; for (IndexType p = 0; p < 2; ++p) {
const auto& psqtAccumulation = pos.state()->accumulator.psqtAccumulation; const IndexType offset = kHalfDimensions * p;
const auto psqt = ( #if defined(USE_AVX2)
psqtAccumulation[perspectives[0]][bucket] auto out = reinterpret_cast<__m256i*>(&output[offset]);
- psqtAccumulation[perspectives[1]][bucket] for (IndexType j = 0; j < kNumChunks; ++j) {
) / 2; __m256i sum0 =
#if defined(__MINGW32__) || defined(__MINGW64__)
for (IndexType p = 0; p < 2; ++p) // 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
const IndexType offset = (HalfDimensions / 2) * p; // even though alignas is specified.
_mm256_loadu_si256
#if defined(VECTOR) #else
_mm256_load_si256
constexpr IndexType OutputChunkSize = MaxChunkSize;
static_assert((HalfDimensions / 2) % OutputChunkSize == 0);
constexpr IndexType NumOutputChunks = HalfDimensions / 2 / OutputChunkSize;
vec_t Zero = vec_zero();
vec_t One = vec_set_16(127);
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);
for (IndexType j = 0; j < NumOutputChunks; j += 1)
{
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);
const vec_t pa = vec_mul_16(sum0a, sum1a);
const vec_t pb = vec_mul_16(sum0b, sum1b);
out[j] = vec_msb_pack_16(pa, pb);
}
#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::max<int>(0, std::min<int>(127, sum0));
sum1 = std::max<int>(0, std::min<int>(127, sum1));
output[offset + j] = static_cast<OutputType>(sum0 * sum1 / 128);
}
#endif
}
#if defined(vec_cleanup)
vec_cleanup();
#endif
return psqt;
} // end of function transform()
private:
void update_accumulator(const Position& pos, const Color perspective) const {
// 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.
#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 #endif
// Look for a usable accumulator of an earlier position. We keep track (&reinterpret_cast<const __m256i*>(
// of the estimated gain in terms of features to be added/subtracted. accumulation[perspectives[p]][0])[j * 2 + 0]);
StateInfo *st = pos.state(), *next = nullptr; __m256i sum1 =
int gain = FeatureSet::refresh_cost(pos);
while (st->previous && !st->accumulator.computed[perspective])
{
// This governs when a full feature refresh is needed and how many
// updates are better than just one full refresh.
if ( FeatureSet::requires_refresh(st, perspective)
|| (gain -= FeatureSet::update_cost(st) + 1) < 0)
break;
next = st;
st = st->previous;
}
if (st->accumulator.computed[perspective]) #if defined(__MINGW32__) || defined(__MINGW64__)
{ _mm256_loadu_si256
if (next == nullptr) #else
return; _mm256_load_si256
#endif
// Update incrementally in two steps. First, we update the "next" (&reinterpret_cast<const __m256i*>(
// accumulator. Then, we update the current accumulator (pos.state()). accumulation[perspectives[p]][0])[j * 2 + 1]);
// Gather all features to be updated. #if defined(__MINGW32__) || defined(__MINGW64__)
const Square ksq = pos.square<KING>(perspective); _mm256_storeu_si256
FeatureSet::IndexList removed[2], added[2]; #else
FeatureSet::append_changed_indices( _mm256_store_si256
ksq, next->dirtyPiece, perspective, removed[0], added[0]); #endif
for (StateInfo *st2 = pos.state(); st2 != next; st2 = st2->previous)
FeatureSet::append_changed_indices(
ksq, st2->dirtyPiece, perspective, removed[1], added[1]);
// Mark the accumulators as computed. (&out[j], _mm256_permute4x64_epi64(_mm256_max_epi8(
next->accumulator.computed[perspective] = true; _mm256_packs_epi16(sum0, sum1), kZero), kControl));
pos.state()->accumulator.computed[perspective] = true;
// Now update the accumulators listed in states_to_update[], where the last element is a sentinel.
StateInfo *states_to_update[3] =
{ next, next == pos.state() ? nullptr : pos.state(), nullptr };
#ifdef VECTOR
for (IndexType j = 0; j < HalfDimensions / TileHeight; ++j)
{
// Load accumulator
auto accTile = reinterpret_cast<vec_t*>(
&st->accumulator.accumulation[perspective][j * TileHeight]);
for (IndexType k = 0; k < NumRegs; ++k)
acc[k] = vec_load(&accTile[k]);
for (IndexType i = 0; states_to_update[i]; ++i)
{
// Difference calculation for the deactivated features
for (const auto index : removed[i])
{
const IndexType offset = HalfDimensions * index + j * TileHeight;
auto column = reinterpret_cast<const vec_t*>(&weights[offset]);
for (IndexType k = 0; k < NumRegs; ++k)
acc[k] = vec_sub_16(acc[k], column[k]);
}
// Difference calculation for the activated features
for (const auto index : added[i])
{
const IndexType offset = HalfDimensions * index + j * TileHeight;
auto column = reinterpret_cast<const vec_t*>(&weights[offset]);
for (IndexType k = 0; k < NumRegs; ++k)
acc[k] = vec_add_16(acc[k], column[k]);
}
// Store accumulator
accTile = reinterpret_cast<vec_t*>(
&states_to_update[i]->accumulator.accumulation[perspective][j * TileHeight]);
for (IndexType k = 0; k < NumRegs; ++k)
vec_store(&accTile[k], acc[k]);
}
} }
for (IndexType j = 0; j < PSQTBuckets / PsqtTileHeight; ++j) #elif defined(USE_SSSE3)
{ auto out = reinterpret_cast<__m128i*>(&output[offset]);
// Load accumulator for (IndexType j = 0; j < kNumChunks; ++j) {
auto accTilePsqt = reinterpret_cast<psqt_vec_t*>( __m128i sum0 = _mm_load_si128(&reinterpret_cast<const __m128i*>(
&st->accumulator.psqtAccumulation[perspective][j * PsqtTileHeight]); accumulation[perspectives[p]][0])[j * 2 + 0]);
for (std::size_t k = 0; k < NumPsqtRegs; ++k) __m128i sum1 = _mm_load_si128(&reinterpret_cast<const __m128i*>(
psqt[k] = vec_load_psqt(&accTilePsqt[k]); accumulation[perspectives[p]][0])[j * 2 + 1]);
const __m128i packedbytes = _mm_packs_epi16(sum0, sum1);
for (IndexType i = 0; states_to_update[i]; ++i) _mm_store_si128(&out[j],
{
// 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 #ifdef USE_SSE41
for (const auto index : added[i]) _mm_max_epi8(packedbytes, kZero)
{ #else
const IndexType offset = PSQTBuckets * index + j * PsqtTileHeight; _mm_subs_epi8(_mm_adds_epi8(packedbytes, k0x80s), k0x80s)
auto columnPsqt = reinterpret_cast<const psqt_vec_t*>(&psqtWeights[offset]); #endif
for (std::size_t k = 0; k < NumPsqtRegs; ++k)
psqt[k] = vec_add_psqt_32(psqt[k], columnPsqt[k]);
}
// Store accumulator );
accTilePsqt = reinterpret_cast<psqt_vec_t*>( }
&states_to_update[i]->accumulator.psqtAccumulation[perspective][j * PsqtTileHeight]);
for (std::size_t k = 0; k < NumPsqtRegs; ++k) #elif defined(USE_NEON)
vec_store_psqt(&accTilePsqt[k], psqt[k]); 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 #else
for (IndexType i = 0; states_to_update[i]; ++i) for (IndexType j = 0; j < kHalfDimensions; ++j) {
{ BiasType sum = accumulation[static_cast<int>(perspectives[p])][0][j];
std::memcpy(states_to_update[i]->accumulator.accumulation[perspective], output[offset + j] = static_cast<OutputType>(
st->accumulator.accumulation[perspective], std::max<int>(0, std::min<int>(127, sum)));
HalfDimensions * sizeof(BiasType));
for (std::size_t k = 0; k < PSQTBuckets; ++k)
states_to_update[i]->accumulator.psqtAccumulation[perspective][k] = st->accumulator.psqtAccumulation[perspective][k];
st = states_to_update[i];
// Difference calculation for the deactivated features
for (const auto index : removed[i])
{
const IndexType offset = HalfDimensions * index;
for (IndexType j = 0; j < HalfDimensions; ++j)
st->accumulator.accumulation[perspective][j] -= weights[offset + j];
for (std::size_t k = 0; k < PSQTBuckets; ++k)
st->accumulator.psqtAccumulation[perspective][k] -= psqtWeights[index * PSQTBuckets + k];
}
// Difference calculation for the activated features
for (const auto index : added[i])
{
const IndexType offset = HalfDimensions * index;
for (IndexType j = 0; j < HalfDimensions; ++j)
st->accumulator.accumulation[perspective][j] += weights[offset + j];
for (std::size_t k = 0; k < PSQTBuckets; ++k)
st->accumulator.psqtAccumulation[perspective][k] += psqtWeights[index * PSQTBuckets + k];
}
} }
#endif #endif
} }
else
{
// Refresh the accumulator
auto& accumulator = pos.state()->accumulator;
accumulator.computed[perspective] = true;
FeatureSet::IndexList active;
FeatureSet::append_active_indices(pos, perspective, active);
#ifdef VECTOR
for (IndexType j = 0; j < HalfDimensions / TileHeight; ++j)
{
auto biasesTile = reinterpret_cast<const vec_t*>(
&biases[j * TileHeight]);
for (IndexType k = 0; k < NumRegs; ++k)
acc[k] = biasesTile[k];
for (const auto index : active)
{
const IndexType offset = HalfDimensions * index + j * TileHeight;
auto column = reinterpret_cast<const vec_t*>(&weights[offset]);
for (unsigned k = 0; k < NumRegs; ++k)
acc[k] = vec_add_16(acc[k], column[k]);
}
auto accTile = reinterpret_cast<vec_t*>(
&accumulator.accumulation[perspective][j * TileHeight]);
for (unsigned k = 0; k < NumRegs; k++)
vec_store(&accTile[k], acc[k]);
}
for (IndexType j = 0; j < PSQTBuckets / PsqtTileHeight; ++j)
{
for (std::size_t k = 0; k < NumPsqtRegs; ++k)
psqt[k] = vec_zero_psqt();
for (const auto index : active)
{
const IndexType offset = PSQTBuckets * index + j * PsqtTileHeight;
auto columnPsqt = reinterpret_cast<const psqt_vec_t*>(&psqtWeights[offset]);
for (std::size_t k = 0; k < NumPsqtRegs; ++k)
psqt[k] = vec_add_psqt_32(psqt[k], columnPsqt[k]);
}
auto accTilePsqt = reinterpret_cast<psqt_vec_t*>(
&accumulator.psqtAccumulation[perspective][j * PsqtTileHeight]);
for (std::size_t k = 0; k < NumPsqtRegs; ++k)
vec_store_psqt(&accTilePsqt[k], psqt[k]);
}
#else
std::memcpy(accumulator.accumulation[perspective], biases,
HalfDimensions * sizeof(BiasType));
for (std::size_t k = 0; k < PSQTBuckets; ++k)
accumulator.psqtAccumulation[perspective][k] = 0;
for (const auto index : active)
{
const IndexType offset = HalfDimensions * index;
for (IndexType j = 0; j < HalfDimensions; ++j)
accumulator.accumulation[perspective][j] += weights[offset + j];
for (std::size_t k = 0; k < PSQTBuckets; ++k)
accumulator.psqtAccumulation[perspective][k] += psqtWeights[index * PSQTBuckets + k];
}
#endif
}
#if defined(USE_MMX)
_mm_empty();
#endif
} }
alignas(CacheLineSize) BiasType biases[HalfDimensions]; private:
alignas(CacheLineSize) WeightType weights[HalfDimensions * InputDimensions]; // Calculate cumulative value without using difference calculation
alignas(CacheLineSize) PSQTWeightType psqtWeights[InputDimensions * PSQTBuckets]; 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
}
}
accumulator.computed_accumulation = true;
accumulator.computed_score = false;
}
// Calculate cumulative value using difference calculation
void UpdateAccumulator(const Position& pos) const {
const auto prev_accumulator = pos.state()->previous->accumulator;
auto& accumulator = pos.state()->accumulator;
IndexType i = 0;
Features::IndexList removed_indices[2], added_indices[2];
bool reset[2];
RawFeatures::AppendChangedIndices(pos, kRefreshTriggers[i],
removed_indices, added_indices, reset);
for (Color perspective : { WHITE, BLACK }) {
#if defined(USE_AVX2)
constexpr IndexType kNumChunks = kHalfDimensions / (kSimdWidth / 2);
auto accumulation = reinterpret_cast<__m256i*>(
&accumulator.accumulation[perspective][i][0]);
#elif defined(USE_SSE2)
constexpr IndexType kNumChunks = kHalfDimensions / (kSimdWidth / 2);
auto accumulation = reinterpret_cast<__m128i*>(
&accumulator.accumulation[perspective][i][0]);
#elif defined(USE_NEON)
constexpr IndexType kNumChunks = kHalfDimensions / (kSimdWidth / 2);
auto accumulation = reinterpret_cast<int16x8_t*>(
&accumulator.accumulation[perspective][i][0]);
#endif
if (reset[perspective]) {
std::memcpy(accumulator.accumulation[perspective][i], biases_,
kHalfDimensions * sizeof(BiasType));
} else {
std::memcpy(accumulator.accumulation[perspective][i],
prev_accumulator.accumulation[perspective][i],
kHalfDimensions * sizeof(BiasType));
// Difference calculation for the deactivated features
for (const auto index : removed_indices[perspective]) {
const IndexType offset = kHalfDimensions * index;
#if defined(USE_AVX2)
auto column = reinterpret_cast<const __m256i*>(&weights_[offset]);
for (IndexType j = 0; j < kNumChunks; ++j) {
accumulation[j] = _mm256_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;
#if defined(USE_AVX2)
auto column = reinterpret_cast<const __m256i*>(&weights_[offset]);
for (IndexType j = 0; j < kNumChunks; ++j) {
accumulation[j] = _mm256_add_epi16(accumulation[j], column[j]);
}
#elif defined(USE_SSE2)
auto column = reinterpret_cast<const __m128i*>(&weights_[offset]);
for (IndexType j = 0; j < kNumChunks; ++j) {
accumulation[j] = _mm_add_epi16(accumulation[j], column[j]);
}
#elif defined(USE_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
}
}
}
accumulator.computed_accumulation = true;
accumulator.computed_score = false;
}
using BiasType = std::int16_t;
using WeightType = std::int16_t;
alignas(kCacheLineSize) BiasType biases_[kHalfDimensions];
alignas(kCacheLineSize)
WeightType weights_[kHalfDimensions * kInputDimensions];
}; };
} // namespace Stockfish::Eval::NNUE } // namespace Eval::NNUE
#endif // #ifndef NNUE_FEATURE_TRANSFORMER_H_INCLUDED #endif // #ifndef NNUE_FEATURE_TRANSFORMER_H_INCLUDED
+25 -49
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -24,38 +24,35 @@
#include "position.h" #include "position.h"
#include "thread.h" #include "thread.h"
namespace Stockfish {
namespace { namespace {
#define V Value #define V Value
#define S(mg, eg) make_score(mg, eg) #define S(mg, eg) make_score(mg, eg)
// Pawn penalties // Pawn penalties
constexpr Score Backward = S( 6, 19); constexpr Score Backward = S( 9, 24);
constexpr Score Doubled = S(11, 51); constexpr Score Doubled = S(11, 56);
constexpr Score DoubledEarly = S(17, 7); constexpr Score Isolated = S( 5, 15);
constexpr Score Isolated = S( 1, 20); constexpr Score WeakLever = S( 0, 56);
constexpr Score WeakLever = S( 2, 57); constexpr Score WeakUnopposed = S(13, 27);
constexpr Score WeakUnopposed = S(15, 18);
// Bonus for blocked pawns at 5th or 6th rank // Bonus for blocked pawns at 5th or 6th rank
constexpr Score BlockedPawn[2] = { S(-19, -8), S(-7, 3) }; constexpr Score BlockedPawn[2] = { S(-11, -4), S(-3, 4) };
constexpr Score BlockedStorm[RANK_NB] = { constexpr Score BlockedStorm[RANK_NB] = {
S(0, 0), S(0, 0), S(64, 75), S(-3, 14), S(-12, 19), S(-7, 4), S(-10, 5) S(0, 0), S(0, 0), S(76, 78), S(-10, 15), S(-7, 10), S(-4, 6), S(-1, 2)
}; };
// Connected pawn bonus // Connected pawn bonus
constexpr int Connected[RANK_NB] = { 0, 3, 7, 7, 15, 54, 86 }; constexpr int Connected[RANK_NB] = { 0, 7, 8, 12, 29, 48, 86 };
// Strength of pawn shelter for our king by [distance from edge][rank]. // 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. // 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] = { constexpr Value ShelterStrength[int(FILE_NB) / 2][RANK_NB] = {
{ V(-2), V(85), V(95), V(53), V(39), V(23), V(25) }, { V( -6), V( 81), V( 93), V( 58), V( 39), V( 18), V( 25) },
{ V(-55), V(64), V(32), V(-55), V(-30), V(-11), V(-61) }, { V(-43), V( 61), V( 35), V(-49), V(-29), V(-11), V( -63) },
{ V(-11), V(75), V(19), V(-6), V(26), V(9), V(-47) }, { V(-10), V( 75), V( 23), V( -2), V( 32), V( 3), V( -45) },
{ V(-41), V(-11), V(-27), V(-58), V(-42), V(-66), V(-163) } { 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]. // Danger of enemy pawns moving toward our king by [distance from edge][rank].
@@ -63,18 +60,12 @@ namespace {
// is behind our king. Note that UnblockedStorm[0][1-2] accommodate opponent pawn // is behind our king. Note that UnblockedStorm[0][1-2] accommodate opponent pawn
// on edge, likely blocked by our king. // on edge, likely blocked by our king.
constexpr Value UnblockedStorm[int(FILE_NB) / 2][RANK_NB] = { constexpr Value UnblockedStorm[int(FILE_NB) / 2][RANK_NB] = {
{ V(94), V(-280), V(-170), V(90), V(59), V(47), V(53) }, { V( 85), V(-289), V(-166), V(97), V(50), V( 45), V( 50) },
{ V(43), V(-17), V(128), V(39), V(26), V(-17), V(15) }, { V( 46), V( -25), V( 122), V(45), V(37), V(-10), V( 20) },
{ V(-9), V(62), V(170), V(34), V(-5), V(-20), V(-11) }, { V( -6), V( 51), V( 168), V(34), V(-2), V(-22), V(-14) },
{ V(-27), V(-19), V(106), V(10), V(2), V(-13), V(-24) } { V(-15), V( -11), V( 101), V( 4), V(11), V(-15), V(-29) }
}; };
// KingOnFile[semi-open Us][semi-open Them] contains bonuses/penalties
// for king when the king is on a semi-open or open file.
constexpr Score KingOnFile[2][2] = {{ S(-18,11), S(-6,-3) },
{ S( 0, 0), S( 5,-4) }};
#undef S #undef S
#undef V #undef V
@@ -89,14 +80,13 @@ namespace {
constexpr Color Them = ~Us; constexpr Color Them = ~Us;
constexpr Direction Up = pawn_push(Us); constexpr Direction Up = pawn_push(Us);
constexpr Direction Down = -Up;
Bitboard neighbours, stoppers, support, phalanx, opposed; Bitboard neighbours, stoppers, support, phalanx, opposed;
Bitboard lever, leverPush, blocked; Bitboard lever, leverPush, blocked;
Square s; Square s;
bool backward, passed, doubled; bool backward, passed, doubled;
Score score = SCORE_ZERO; Score score = SCORE_ZERO;
Bitboard b = pos.pieces(Us, PAWN); const Square* pl = pos.squares<PAWN>(Us);
Bitboard ourPawns = pos.pieces( Us, PAWN); Bitboard ourPawns = pos.pieces( Us, PAWN);
Bitboard theirPawns = pos.pieces(Them, PAWN); Bitboard theirPawns = pos.pieces(Them, PAWN);
@@ -109,10 +99,8 @@ namespace {
e->blockedCount += popcount(shift<Up>(ourPawns) & (theirPawns | doubleAttackThem)); e->blockedCount += popcount(shift<Up>(ourPawns) & (theirPawns | doubleAttackThem));
// Loop through all pawns of the current color and score each pawn // Loop through all pawns of the current color and score each pawn
while (b) while ((s = *pl++) != SQ_NONE)
{ {
s = pop_lsb(b);
assert(pos.piece_on(s) == make_piece(Us, PAWN)); assert(pos.piece_on(s) == make_piece(Us, PAWN));
Rank r = relative_rank(Us, s); Rank r = relative_rank(Us, s);
@@ -128,13 +116,6 @@ namespace {
phalanx = neighbours & rank_bb(s); phalanx = neighbours & rank_bb(s);
support = neighbours & rank_bb(s - Up); support = neighbours & rank_bb(s - Up);
if (doubled)
{
// Additional doubled penalty if none of their pawns is fixed
if (!(ourPawns & shift<Down>(theirPawns | pawn_attacks_bb<Them>(theirPawns))))
score -= DoubledEarly;
}
// A pawn is backward when it is behind all pawns of the same color on // A pawn is backward when it is behind all pawns of the same color on
// the adjacent files and cannot safely advance. // the adjacent files and cannot safely advance.
backward = !(neighbours & forward_ranks_bb(Them, s + Up)) backward = !(neighbours & forward_ranks_bb(Them, s + Up))
@@ -166,7 +147,7 @@ namespace {
if (support | phalanx) if (support | phalanx)
{ {
int v = Connected[r] * (2 + bool(phalanx) - bool(opposed)) int v = Connected[r] * (2 + bool(phalanx) - bool(opposed))
+ 22 * popcount(support); + 21 * popcount(support);
score += make_score(v, v * (r - 2) / 4); score += make_score(v, v * (r - 2) / 4);
} }
@@ -184,14 +165,14 @@ namespace {
else if (backward) else if (backward)
score -= Backward score -= Backward
+ WeakUnopposed * !opposed * bool(~(FileABB | FileHBB) & s); + WeakUnopposed * !opposed;
if (!support) if (!support)
score -= Doubled * doubled score -= Doubled * doubled
+ WeakLever * more_than_one(lever); + WeakLever * more_than_one(lever);
if (blocked && r >= RANK_5) if (blocked && r > RANK_4)
score += BlockedPawn[r - RANK_5]; score += BlockedPawn[r-4];
} }
return score; return score;
@@ -238,7 +219,7 @@ Score Entry::evaluate_shelter(const Position& pos, Square ksq) const {
Score bonus = make_score(5, 5); Score bonus = make_score(5, 5);
File center = std::clamp(file_of(ksq), FILE_B, FILE_G); File center = Utility::clamp(file_of(ksq), FILE_B, FILE_G);
for (File f = File(center - 1); f <= File(center + 1); ++f) for (File f = File(center - 1); f <= File(center + 1); ++f)
{ {
b = ourPawns & file_bb(f); b = ourPawns & file_bb(f);
@@ -256,9 +237,6 @@ Score Entry::evaluate_shelter(const Position& pos, Square ksq) const {
bonus -= make_score(UnblockedStorm[d][theirRank], 0); bonus -= make_score(UnblockedStorm[d][theirRank], 0);
} }
// King On File
bonus -= KingOnFile[pos.is_on_semiopen_file(Us, ksq)][pos.is_on_semiopen_file(Them, ksq)];
return bonus; return bonus;
} }
@@ -291,7 +269,7 @@ Score Entry::do_king_safety(const Position& pos) {
if (pawns & attacks_bb<KING>(ksq)) if (pawns & attacks_bb<KING>(ksq))
minPawnDist = 1; minPawnDist = 1;
else while (pawns) else while (pawns)
minPawnDist = std::min(minPawnDist, distance(ksq, pop_lsb(pawns))); minPawnDist = std::min(minPawnDist, distance(ksq, pop_lsb(&pawns)));
return shelter - make_score(0, 16 * minPawnDist); return shelter - make_score(0, 16 * minPawnDist);
} }
@@ -301,5 +279,3 @@ template Score Entry::do_king_safety<WHITE>(const Position& pos);
template Score Entry::do_king_safety<BLACK>(const Position& pos); template Score Entry::do_king_safety<BLACK>(const Position& pos);
} // namespace Pawns } // namespace Pawns
} // namespace Stockfish
+3 -3
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -23,7 +23,7 @@
#include "position.h" #include "position.h"
#include "types.h" #include "types.h"
namespace Stockfish::Pawns { namespace Pawns {
/// Pawns::Entry contains various information about a pawn structure. A lookup /// Pawns::Entry contains various information about a pawn structure. A lookup
/// to the pawn hash table (performed by calling the probe function) returns a /// to the pawn hash table (performed by calling the probe function) returns a
@@ -65,6 +65,6 @@ typedef HashTable<Entry, 131072> Table;
Entry* probe(const Position& pos); Entry* probe(const Position& pos);
} // namespace Stockfish::Pawns } // namespace Pawns
#endif // #ifndef PAWNS_H_INCLUDED #endif // #ifndef PAWNS_H_INCLUDED
+137 -88
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -34,8 +34,6 @@
using std::string; using std::string;
namespace Stockfish {
namespace Zobrist { namespace Zobrist {
Key psq[PIECE_NB][SQUARE_NB]; Key psq[PIECE_NB][SQUARE_NB];
@@ -73,14 +71,12 @@ std::ostream& operator<<(std::ostream& os, const Position& pos) {
<< std::setfill(' ') << std::dec << "\nCheckers: "; << std::setfill(' ') << std::dec << "\nCheckers: ";
for (Bitboard b = pos.checkers(); b; ) for (Bitboard b = pos.checkers(); b; )
os << UCI::square(pop_lsb(b)) << " "; os << UCI::square(pop_lsb(&b)) << " ";
if ( int(Tablebases::MaxCardinality) >= popcount(pos.pieces()) if ( int(Tablebases::MaxCardinality) >= popcount(pos.pieces())
&& !pos.can_castle(ANY_CASTLING)) && !pos.can_castle(ANY_CASTLING))
{ {
StateInfo st; StateInfo st;
ASSERT_ALIGNED(&st, Eval::NNUE::CacheLineSize);
Position p; Position p;
p.set(pos.fen(), pos.is_chess960(), &st, pos.this_thread()); p.set(pos.fen(), pos.is_chess960(), &st, pos.this_thread());
Tablebases::ProbeState s1, s2; Tablebases::ProbeState s1, s2;
@@ -199,8 +195,12 @@ Position& Position::set(const string& fenStr, bool isChess960, StateInfo* si, Th
std::memset(this, 0, sizeof(Position)); std::memset(this, 0, sizeof(Position));
std::memset(si, 0, sizeof(StateInfo)); std::memset(si, 0, sizeof(StateInfo));
std::fill_n(&pieceList[0][0], sizeof(pieceList) / sizeof(Square), SQ_NONE);
st = si; st = si;
// Each piece on board gets a unique ID used to track the piece later
PieceId piece_id, next_piece_id = PIECE_ID_ZERO;
ss >> std::noskipws; ss >> std::noskipws;
// 1. Piece placement // 1. Piece placement
@@ -212,8 +212,21 @@ Position& Position::set(const string& fenStr, bool isChess960, StateInfo* si, Th
else if (token == '/') else if (token == '/')
sq += 2 * SOUTH; sq += 2 * SOUTH;
else if ((idx = PieceToChar.find(token)) != string::npos) { else if ((idx = PieceToChar.find(token)) != string::npos)
put_piece(Piece(idx), sq); {
auto pc = Piece(idx);
put_piece(pc, sq);
if (Eval::useNNUE)
{
// Kings get a fixed ID, other pieces get ID in order of placement
piece_id =
(idx == W_KING) ? PIECE_ID_WKING :
(idx == B_KING) ? PIECE_ID_BKING :
next_piece_id++;
evalList.put_piece(piece_id, sq, pc);
}
++sq; ++sq;
} }
} }
@@ -305,7 +318,7 @@ void Position::set_castling_right(Color c, Square rfrom) {
Square kto = relative_square(c, cr & KING_SIDE ? SQ_G1 : SQ_C1); Square kto = relative_square(c, cr & KING_SIDE ? SQ_G1 : SQ_C1);
Square rto = relative_square(c, cr & KING_SIDE ? SQ_F1 : SQ_D1); Square rto = relative_square(c, cr & KING_SIDE ? SQ_F1 : SQ_D1);
castlingPath[cr] = (between_bb(rfrom, rto) | between_bb(kfrom, kto)) castlingPath[cr] = (between_bb(rfrom, rto) | between_bb(kfrom, kto) | rto | kto)
& ~(kfrom | rfrom); & ~(kfrom | rfrom);
} }
@@ -344,7 +357,7 @@ void Position::set_state(StateInfo* si) const {
for (Bitboard b = pieces(); b; ) for (Bitboard b = pieces(); b; )
{ {
Square s = pop_lsb(b); Square s = pop_lsb(&b);
Piece pc = piece_on(s); Piece pc = piece_on(s);
si->key ^= Zobrist::psq[pc][s]; si->key ^= Zobrist::psq[pc][s];
@@ -395,7 +408,7 @@ Position& Position::set(const string& code, Color c, StateInfo* si) {
/// Position::fen() returns a FEN representation of the position. In case of /// Position::fen() returns a FEN representation of the position. In case of
/// Chess960 the Shredder-FEN notation is used. This is mainly a debugging function. /// Chess960 the Shredder-FEN notation is used. This is mainly a debugging function.
string Position::fen() const { const string Position::fen() const {
int emptyCnt; int emptyCnt;
std::ostringstream ss; std::ostringstream ss;
@@ -461,7 +474,7 @@ Bitboard Position::slider_blockers(Bitboard sliders, Square s, Bitboard& pinners
while (snipers) while (snipers)
{ {
Square sniperSq = pop_lsb(snipers); Square sniperSq = pop_lsb(&snipers);
Bitboard b = between_bb(s, sniperSq) & occupancy; Bitboard b = between_bb(s, sniperSq) & occupancy;
if (b && !more_than_one(b)) if (b && !more_than_one(b))
@@ -505,7 +518,7 @@ bool Position::legal(Move m) const {
// En passant captures are a tricky special case. Because they are rather // En passant captures are a tricky special case. Because they are rather
// uncommon, we do it simply by testing whether the king is attacked after // uncommon, we do it simply by testing whether the king is attacked after
// the move is made. // the move is made.
if (type_of(m) == EN_PASSANT) if (type_of(m) == ENPASSANT)
{ {
Square ksq = square<KING>(us); Square ksq = square<KING>(us);
Square capsq = to - pawn_push(us); Square capsq = to - pawn_push(us);
@@ -533,20 +546,22 @@ bool Position::legal(Move m) const {
if (attackers_to(s) & pieces(~us)) if (attackers_to(s) & pieces(~us))
return false; return false;
// In case of Chess960, verify if the Rook blocks some checks // In case of Chess960, verify that when moving the castling rook we do
// not discover some hidden checker.
// For instance an enemy queen in SQ_A1 when castling rook is in SQ_B1. // For instance an enemy queen in SQ_A1 when castling rook is in SQ_B1.
return !chess960 || !(blockers_for_king(us) & to_sq(m)); return !chess960
|| !(attacks_bb<ROOK>(to, pieces() ^ to_sq(m)) & pieces(~us, ROOK, QUEEN));
} }
// If the moving piece is a king, check whether the destination square is // If the moving piece is a king, check whether the destination square is
// attacked by the opponent. // attacked by the opponent.
if (type_of(piece_on(from)) == KING) if (type_of(piece_on(from)) == KING)
return !(attackers_to(to, pieces() ^ from) & pieces(~us)); return !(attackers_to(to) & pieces(~us));
// A non-king move is legal if and only if it is not pinned or it // A non-king move is legal if and only if it is not pinned or it
// is moving along the ray towards or away from the king. // is moving along the ray towards or away from the king.
return !(blockers_for_king(us) & from) return !(blockers_for_king(us) & from)
|| aligned(from, to, square<KING>(us)); || aligned(from, to, square<KING>(us));
} }
@@ -562,10 +577,8 @@ bool Position::pseudo_legal(const Move m) const {
Piece pc = moved_piece(m); Piece pc = moved_piece(m);
// Use a slower but simpler function for uncommon cases // Use a slower but simpler function for uncommon cases
// yet we skip the legality check of MoveList<LEGAL>().
if (type_of(m) != NORMAL) if (type_of(m) != NORMAL)
return checkers() ? MoveList< EVASIONS>(*this).contains(m) return MoveList<LEGAL>(*this).contains(m);
: MoveList<NON_EVASIONS>(*this).contains(m);
// Is not a promotion, so promotion piece must be empty // Is not a promotion, so promotion piece must be empty
if (promotion_type(m) - KNIGHT != NO_PIECE_TYPE) if (promotion_type(m) - KNIGHT != NO_PIECE_TYPE)
@@ -610,8 +623,8 @@ bool Position::pseudo_legal(const Move m) const {
if (more_than_one(checkers())) if (more_than_one(checkers()))
return false; return false;
// Our move must be a blocking interposition or a capture of the checking piece // Our move must be a blocking evasion or a capture of the checking piece
if (!(between_bb(square<KING>(us), lsb(checkers())) & to)) if (!((between_bb(lsb(checkers()), square<KING>(us)) | checkers()) & to))
return false; return false;
} }
// In case of king moves under check we have to remove king so as to catch // In case of king moves under check we have to remove king so as to catch
@@ -655,7 +668,7 @@ bool Position::gives_check(Move m) const {
// of direct checks and ordinary discovered check, so the only case we // of direct checks and ordinary discovered check, so the only case we
// need to handle is the unusual case of a discovered check through // need to handle is the unusual case of a discovered check through
// the captured pawn. // the captured pawn.
case EN_PASSANT: case ENPASSANT:
{ {
Square capsq = make_square(file_of(to), rank_of(from)); Square capsq = make_square(file_of(to), rank_of(from));
Bitboard b = (pieces() ^ from ^ capsq) | to; Bitboard b = (pieces() ^ from ^ capsq) | to;
@@ -663,15 +676,19 @@ bool Position::gives_check(Move m) const {
return (attacks_bb< ROOK>(square<KING>(~sideToMove), b) & pieces(sideToMove, QUEEN, ROOK)) return (attacks_bb< ROOK>(square<KING>(~sideToMove), b) & pieces(sideToMove, QUEEN, ROOK))
| (attacks_bb<BISHOP>(square<KING>(~sideToMove), b) & pieces(sideToMove, QUEEN, BISHOP)); | (attacks_bb<BISHOP>(square<KING>(~sideToMove), b) & pieces(sideToMove, QUEEN, BISHOP));
} }
default: //CASTLING case CASTLING:
{ {
// Castling is encoded as 'king captures the rook' Square kfrom = from;
Square ksq = square<KING>(~sideToMove); Square rfrom = to; // Castling is encoded as 'king captures the rook'
Square rto = relative_square(sideToMove, to > from ? SQ_F1 : SQ_D1); Square kto = relative_square(sideToMove, rfrom > kfrom ? SQ_G1 : SQ_C1);
Square rto = relative_square(sideToMove, rfrom > kfrom ? SQ_F1 : SQ_D1);
return (attacks_bb<ROOK>(rto) & ksq) return (attacks_bb<ROOK>(rto) & square<KING>(~sideToMove))
&& (attacks_bb<ROOK>(rto, pieces() ^ from ^ to) & ksq); && (attacks_bb<ROOK>(rto, (pieces() ^ kfrom ^ rfrom) | rto | kto) & square<KING>(~sideToMove));
} }
default:
assert(false);
return false;
} }
} }
@@ -702,8 +719,10 @@ void Position::do_move(Move m, StateInfo& newSt, bool givesCheck) {
++st->pliesFromNull; ++st->pliesFromNull;
// Used by NNUE // Used by NNUE
st->accumulator.computed[WHITE] = false; st->accumulator.computed_accumulation = false;
st->accumulator.computed[BLACK] = false; st->accumulator.computed_score = false;
PieceId dp0 = PIECE_ID_NONE;
PieceId dp1 = PIECE_ID_NONE;
auto& dp = st->dirtyPiece; auto& dp = st->dirtyPiece;
dp.dirty_num = 1; dp.dirty_num = 1;
@@ -712,7 +731,7 @@ void Position::do_move(Move m, StateInfo& newSt, bool givesCheck) {
Square from = from_sq(m); Square from = from_sq(m);
Square to = to_sq(m); Square to = to_sq(m);
Piece pc = piece_on(from); Piece pc = piece_on(from);
Piece captured = type_of(m) == EN_PASSANT ? make_piece(them, PAWN) : piece_on(to); Piece captured = type_of(m) == ENPASSANT ? make_piece(them, PAWN) : piece_on(to);
assert(color_of(pc) == us); assert(color_of(pc) == us);
assert(captured == NO_PIECE || color_of(captured) == (type_of(m) != CASTLING ? them : us)); assert(captured == NO_PIECE || color_of(captured) == (type_of(m) != CASTLING ? them : us));
@@ -738,7 +757,7 @@ void Position::do_move(Move m, StateInfo& newSt, bool givesCheck) {
// update non-pawn material. // update non-pawn material.
if (type_of(captured) == PAWN) if (type_of(captured) == PAWN)
{ {
if (type_of(m) == EN_PASSANT) if (type_of(m) == ENPASSANT)
{ {
capsq -= pawn_push(us); capsq -= pawn_push(us);
@@ -756,16 +775,18 @@ void Position::do_move(Move m, StateInfo& newSt, bool givesCheck) {
if (Eval::useNNUE) if (Eval::useNNUE)
{ {
dp.dirty_num = 2; // 1 piece moved, 1 piece captured dp.dirty_num = 2; // 2 pieces moved
dp.piece[1] = captured; dp1 = piece_id_on(capsq);
dp.from[1] = capsq; dp.pieceId[1] = dp1;
dp.to[1] = SQ_NONE; dp.old_piece[1] = evalList.piece_with_id(dp1);
evalList.put_piece(dp1, capsq, NO_PIECE);
dp.new_piece[1] = evalList.piece_with_id(dp1);
} }
// Update board and piece lists // Update board and piece lists
remove_piece(capsq); remove_piece(capsq);
if (type_of(m) == EN_PASSANT) if (type_of(m) == ENPASSANT)
board[capsq] = NO_PIECE; board[capsq] = NO_PIECE;
// Update material hash key and prefetch access to materialTable // Update material hash key and prefetch access to materialTable
@@ -800,9 +821,11 @@ void Position::do_move(Move m, StateInfo& newSt, bool givesCheck) {
{ {
if (Eval::useNNUE) if (Eval::useNNUE)
{ {
dp.piece[0] = pc; dp0 = piece_id_on(from);
dp.from[0] = from; dp.pieceId[0] = dp0;
dp.to[0] = to; dp.old_piece[0] = evalList.piece_with_id(dp0);
evalList.put_piece(dp0, to, pc);
dp.new_piece[0] = evalList.piece_with_id(dp0);
} }
move_piece(from, to); move_piece(from, to);
@@ -811,7 +834,7 @@ void Position::do_move(Move m, StateInfo& newSt, bool givesCheck) {
// If the moving piece is a pawn do some special extra work // If the moving piece is a pawn do some special extra work
if (type_of(pc) == PAWN) if (type_of(pc) == PAWN)
{ {
// Set en passant square if the moved pawn can be captured // Set en-passant square if the moved pawn can be captured
if ( (int(to) ^ int(from)) == 16 if ( (int(to) ^ int(from)) == 16
&& (pawn_attacks_bb(us, to - pawn_push(us)) & pieces(them, PAWN))) && (pawn_attacks_bb(us, to - pawn_push(us)) & pieces(them, PAWN)))
{ {
@@ -831,12 +854,9 @@ void Position::do_move(Move m, StateInfo& newSt, bool givesCheck) {
if (Eval::useNNUE) if (Eval::useNNUE)
{ {
// Promoting pawn to SQ_NONE, promoted piece from SQ_NONE dp0 = piece_id_on(to);
dp.to[0] = SQ_NONE; evalList.put_piece(dp0, to, promotion);
dp.piece[dp.dirty_num] = promotion; dp.new_piece[0] = evalList.piece_with_id(dp0);
dp.from[dp.dirty_num] = SQ_NONE;
dp.to[dp.dirty_num] = to;
dp.dirty_num++;
} }
// Update hash keys // Update hash keys
@@ -930,11 +950,17 @@ void Position::undo_move(Move m) {
{ {
move_piece(to, from); // Put the piece back at the source square move_piece(to, from); // Put the piece back at the source square
if (Eval::useNNUE)
{
PieceId dp0 = st->dirtyPiece.pieceId[0];
evalList.put_piece(dp0, from, pc);
}
if (st->capturedPiece) if (st->capturedPiece)
{ {
Square capsq = to; Square capsq = to;
if (type_of(m) == EN_PASSANT) if (type_of(m) == ENPASSANT)
{ {
capsq -= pawn_push(us); capsq -= pawn_push(us);
@@ -946,6 +972,14 @@ void Position::undo_move(Move m) {
} }
put_piece(st->capturedPiece, capsq); // Restore the captured piece put_piece(st->capturedPiece, capsq); // Restore the captured piece
if (Eval::useNNUE)
{
PieceId dp1 = st->dirtyPiece.pieceId[1];
assert(evalList.piece_with_id(dp1).from[WHITE] == PS_NONE);
assert(evalList.piece_with_id(dp1).from[BLACK] == PS_NONE);
evalList.put_piece(dp1, capsq, st->capturedPiece);
}
} }
} }
@@ -967,16 +1001,32 @@ void Position::do_castling(Color us, Square from, Square& to, Square& rfrom, Squ
rto = relative_square(us, kingSide ? SQ_F1 : SQ_D1); rto = relative_square(us, kingSide ? SQ_F1 : SQ_D1);
to = relative_square(us, kingSide ? SQ_G1 : SQ_C1); to = relative_square(us, kingSide ? SQ_G1 : SQ_C1);
if (Do && Eval::useNNUE) if (Eval::useNNUE)
{ {
PieceId dp0, dp1;
auto& dp = st->dirtyPiece; auto& dp = st->dirtyPiece;
dp.piece[0] = make_piece(us, KING); dp.dirty_num = 2; // 2 pieces moved
dp.from[0] = from;
dp.to[0] = to; if (Do)
dp.piece[1] = make_piece(us, ROOK); {
dp.from[1] = rfrom; dp0 = piece_id_on(from);
dp.to[1] = rto; dp1 = piece_id_on(rfrom);
dp.dirty_num = 2; dp.pieceId[0] = dp0;
dp.old_piece[0] = evalList.piece_with_id(dp0);
evalList.put_piece(dp0, to, make_piece(us, KING));
dp.new_piece[0] = evalList.piece_with_id(dp0);
dp.pieceId[1] = dp1;
dp.old_piece[1] = evalList.piece_with_id(dp1);
evalList.put_piece(dp1, rto, make_piece(us, ROOK));
dp.new_piece[1] = evalList.piece_with_id(dp1);
}
else
{
dp0 = piece_id_on(to);
dp1 = piece_id_on(rto);
evalList.put_piece(dp0, from, make_piece(us, KING));
evalList.put_piece(dp1, rfrom, make_piece(us, ROOK));
}
} }
// Remove both pieces first since squares could overlap in Chess960 // Remove both pieces first since squares could overlap in Chess960
@@ -988,7 +1038,7 @@ void Position::do_castling(Color us, Square from, Square& to, Square& rfrom, Squ
} }
/// Position::do_null_move() is used to do a "null move": it flips /// Position::do(undo)_null_move() is used to do(undo) a "null move": it flips
/// the side to move without executing any move on the board. /// the side to move without executing any move on the board.
void Position::do_null_move(StateInfo& newSt) { void Position::do_null_move(StateInfo& newSt) {
@@ -996,16 +1046,17 @@ void Position::do_null_move(StateInfo& newSt) {
assert(!checkers()); assert(!checkers());
assert(&newSt != st); assert(&newSt != st);
std::memcpy(&newSt, st, offsetof(StateInfo, accumulator)); if (Eval::useNNUE)
{
std::memcpy(&newSt, st, sizeof(StateInfo));
st->accumulator.computed_score = false;
}
else
std::memcpy(&newSt, st, offsetof(StateInfo, accumulator));
newSt.previous = st; newSt.previous = st;
st = &newSt; st = &newSt;
st->dirtyPiece.dirty_num = 0;
st->dirtyPiece.piece[0] = NO_PIECE; // Avoid checks in UpdateAccumulator()
st->accumulator.computed[WHITE] = false;
st->accumulator.computed[BLACK] = false;
if (st->epSquare != SQ_NONE) if (st->epSquare != SQ_NONE)
{ {
st->key ^= Zobrist::enpassant[file_of(st->epSquare)]; st->key ^= Zobrist::enpassant[file_of(st->epSquare)];
@@ -1013,9 +1064,9 @@ void Position::do_null_move(StateInfo& newSt) {
} }
st->key ^= Zobrist::side; st->key ^= Zobrist::side;
++st->rule50; prefetch(TT.first_entry(st->key));
prefetch(TT.first_entry(key()));
++st->rule50;
st->pliesFromNull = 0; st->pliesFromNull = 0;
sideToMove = ~sideToMove; sideToMove = ~sideToMove;
@@ -1027,9 +1078,6 @@ void Position::do_null_move(StateInfo& newSt) {
assert(pos_is_ok()); assert(pos_is_ok());
} }
/// Position::undo_null_move() must be used to undo a "null move"
void Position::undo_null_move() { void Position::undo_null_move() {
assert(!checkers()); assert(!checkers());
@@ -1041,7 +1089,7 @@ void Position::undo_null_move() {
/// Position::key_after() computes the new hash key after the given move. Needed /// Position::key_after() computes the new hash key after the given move. Needed
/// for speculative prefetch. It doesn't recognize special moves like castling, /// for speculative prefetch. It doesn't recognize special moves like castling,
/// en passant and promotions. /// en-passant and promotions.
Key Position::key_after(Move m) const { Key Position::key_after(Move m) const {
@@ -1066,7 +1114,7 @@ bool Position::see_ge(Move m, Value threshold) const {
assert(is_ok(m)); assert(is_ok(m));
// Only deal with normal moves, assume others pass a simple SEE // Only deal with normal moves, assume others pass a simple see
if (type_of(m) != NORMAL) if (type_of(m) != NORMAL)
return VALUE_ZERO >= threshold; return VALUE_ZERO >= threshold;
@@ -1080,9 +1128,8 @@ bool Position::see_ge(Move m, Value threshold) const {
if (swap <= 0) if (swap <= 0)
return true; return true;
assert(color_of(piece_on(from)) == sideToMove);
Bitboard occupied = pieces() ^ from ^ to; Bitboard occupied = pieces() ^ from ^ to;
Color stm = sideToMove; Color stm = color_of(piece_on(from));
Bitboard attackers = attackers_to(to, occupied); Bitboard attackers = attackers_to(to, occupied);
Bitboard stmAttackers, bb; Bitboard stmAttackers, bb;
int res = 1; int res = 1;
@@ -1096,10 +1143,10 @@ bool Position::see_ge(Move m, Value threshold) const {
if (!(stmAttackers = attackers & pieces(stm))) if (!(stmAttackers = attackers & pieces(stm)))
break; break;
// Don't allow pinned pieces to attack as long as there are // Don't allow pinned pieces to attack (except the king) as long as
// pinners on their original square. // there are pinners on their original square.
if (pinners(~stm) & occupied) if (st->pinners[~stm] & occupied)
stmAttackers &= ~blockers_for_king(stm); stmAttackers &= ~st->blockersForKing[stm];
if (!stmAttackers) if (!stmAttackers)
break; break;
@@ -1113,7 +1160,7 @@ bool Position::see_ge(Move m, Value threshold) const {
if ((swap = PawnValueMg - swap) < res) if ((swap = PawnValueMg - swap) < res)
break; break;
occupied ^= least_significant_square_bb(bb); occupied ^= lsb(bb);
attackers |= attacks_bb<BISHOP>(to, occupied) & pieces(BISHOP, QUEEN); attackers |= attacks_bb<BISHOP>(to, occupied) & pieces(BISHOP, QUEEN);
} }
@@ -1122,7 +1169,7 @@ bool Position::see_ge(Move m, Value threshold) const {
if ((swap = KnightValueMg - swap) < res) if ((swap = KnightValueMg - swap) < res)
break; break;
occupied ^= least_significant_square_bb(bb); occupied ^= lsb(bb);
} }
else if ((bb = stmAttackers & pieces(BISHOP))) else if ((bb = stmAttackers & pieces(BISHOP)))
@@ -1130,7 +1177,7 @@ bool Position::see_ge(Move m, Value threshold) const {
if ((swap = BishopValueMg - swap) < res) if ((swap = BishopValueMg - swap) < res)
break; break;
occupied ^= least_significant_square_bb(bb); occupied ^= lsb(bb);
attackers |= attacks_bb<BISHOP>(to, occupied) & pieces(BISHOP, QUEEN); attackers |= attacks_bb<BISHOP>(to, occupied) & pieces(BISHOP, QUEEN);
} }
@@ -1139,7 +1186,7 @@ bool Position::see_ge(Move m, Value threshold) const {
if ((swap = RookValueMg - swap) < res) if ((swap = RookValueMg - swap) < res)
break; break;
occupied ^= least_significant_square_bb(bb); occupied ^= lsb(bb);
attackers |= attacks_bb<ROOK>(to, occupied) & pieces(ROOK, QUEEN); attackers |= attacks_bb<ROOK>(to, occupied) & pieces(ROOK, QUEEN);
} }
@@ -1148,7 +1195,7 @@ bool Position::see_ge(Move m, Value threshold) const {
if ((swap = QueenValueMg - swap) < res) if ((swap = QueenValueMg - swap) < res)
break; break;
occupied ^= least_significant_square_bb(bb); occupied ^= lsb(bb);
attackers |= (attacks_bb<BISHOP>(to, occupied) & pieces(BISHOP, QUEEN)) attackers |= (attacks_bb<BISHOP>(to, occupied) & pieces(BISHOP, QUEEN))
| (attacks_bb<ROOK >(to, occupied) & pieces(ROOK , QUEEN)); | (attacks_bb<ROOK >(to, occupied) & pieces(ROOK , QUEEN));
} }
@@ -1222,7 +1269,7 @@ bool Position::has_game_cycle(int ply) const {
Square s1 = from_sq(move); Square s1 = from_sq(move);
Square s2 = to_sq(move); Square s2 = to_sq(move);
if (!((between_bb(s1, s2) ^ s2) & pieces())) if (!(between_bb(s1, s2) & pieces()))
{ {
if (ply > i) if (ply > i)
return true; return true;
@@ -1319,17 +1366,21 @@ bool Position::pos_is_ok() const {
assert(0 && "pos_is_ok: Bitboards"); assert(0 && "pos_is_ok: Bitboards");
StateInfo si = *st; StateInfo si = *st;
ASSERT_ALIGNED(&si, Eval::NNUE::CacheLineSize);
set_state(&si); set_state(&si);
if (std::memcmp(&si, st, sizeof(StateInfo))) if (std::memcmp(&si, st, sizeof(StateInfo)))
assert(0 && "pos_is_ok: State"); assert(0 && "pos_is_ok: State");
for (Piece pc : Pieces) for (Piece pc : Pieces)
{
if ( pieceCount[pc] != popcount(pieces(color_of(pc), type_of(pc))) if ( pieceCount[pc] != popcount(pieces(color_of(pc), type_of(pc)))
|| pieceCount[pc] != std::count(board, board + SQUARE_NB, pc)) || pieceCount[pc] != std::count(board, board + SQUARE_NB, pc))
assert(0 && "pos_is_ok: Pieces"); assert(0 && "pos_is_ok: Pieces");
for (int i = 0; i < pieceCount[pc]; ++i)
if (board[pieceList[pc][i]] != pc || index[pieceList[pc][i]] != i)
assert(0 && "pos_is_ok: Index");
}
for (Color c : { WHITE, BLACK }) for (Color c : { WHITE, BLACK })
for (CastlingRights cr : {c & KING_SIDE, c & QUEEN_SIDE}) for (CastlingRights cr : {c & KING_SIDE, c & QUEEN_SIDE})
{ {
@@ -1344,5 +1395,3 @@ bool Position::pos_is_ok() const {
return true; return true;
} }
} // namespace Stockfish
+76 -41
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -26,12 +26,10 @@
#include "bitboard.h" #include "bitboard.h"
#include "evaluate.h" #include "evaluate.h"
#include "psqt.h"
#include "types.h" #include "types.h"
#include "nnue/nnue_accumulator.h" #include "nnue/nnue_accumulator.h"
namespace Stockfish {
/// StateInfo struct stores information needed to restore a Position object to /// 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 /// its previous state when we retract a move. Whenever a move is made on the
@@ -51,11 +49,11 @@ struct StateInfo {
// Not copied when making a move (will be recomputed anyhow) // Not copied when making a move (will be recomputed anyhow)
Key key; Key key;
Bitboard checkersBB; Bitboard checkersBB;
Piece capturedPiece;
StateInfo* previous; StateInfo* previous;
Bitboard blockersForKing[COLOR_NB]; Bitboard blockersForKing[COLOR_NB];
Bitboard pinners[COLOR_NB]; Bitboard pinners[COLOR_NB];
Bitboard checkSquares[PIECE_TYPE_NB]; Bitboard checkSquares[PIECE_TYPE_NB];
Piece capturedPiece;
int repetition; int repetition;
// Used by NNUE // Used by NNUE
@@ -88,7 +86,7 @@ public:
// FEN string input/output // FEN string input/output
Position& set(const std::string& fenStr, bool isChess960, StateInfo* si, Thread* th); Position& set(const std::string& fenStr, bool isChess960, StateInfo* si, Thread* th);
Position& set(const std::string& code, Color c, StateInfo* si); Position& set(const std::string& code, Color c, StateInfo* si);
std::string fen() const; const std::string fen() const;
// Position representation // Position representation
Bitboard pieces(PieceType pt) const; Bitboard pieces(PieceType pt) const;
@@ -101,6 +99,7 @@ public:
bool empty(Square s) const; bool empty(Square s) const;
template<PieceType Pt> int count(Color c) const; template<PieceType Pt> int count(Color c) const;
template<PieceType Pt> int count() const; template<PieceType Pt> int count() const;
template<PieceType Pt> const Square* squares(Color c) const;
template<PieceType Pt> Square square(Color c) const; template<PieceType Pt> Square square(Color c) const;
bool is_on_semiopen_file(Color c, Square s) const; bool is_on_semiopen_file(Color c, Square s) const;
@@ -114,19 +113,20 @@ public:
Bitboard checkers() const; Bitboard checkers() const;
Bitboard blockers_for_king(Color c) const; Bitboard blockers_for_king(Color c) const;
Bitboard check_squares(PieceType pt) const; Bitboard check_squares(PieceType pt) const;
Bitboard pinners(Color c) const; bool is_discovery_check_on_king(Color c, Move m) const;
// Attacks to/from a given square // Attacks to/from a given square
Bitboard attackers_to(Square s) const; Bitboard attackers_to(Square s) const;
Bitboard attackers_to(Square s, Bitboard occupied) const; Bitboard attackers_to(Square s, Bitboard occupied) const;
Bitboard slider_blockers(Bitboard sliders, Square s, Bitboard& pinners) const; Bitboard slider_blockers(Bitboard sliders, Square s, Bitboard& pinners) const;
template<PieceType Pt> Bitboard attacks_by(Color c) const;
// Properties of moves // Properties of moves
bool legal(Move m) const; bool legal(Move m) const;
bool pseudo_legal(const Move m) const; bool pseudo_legal(const Move m) const;
bool capture(Move m) const; bool capture(Move m) const;
bool capture_or_promotion(Move m) const;
bool gives_check(Move m) const; bool gives_check(Move m) const;
bool advanced_pawn_push(Move m) const;
Piece moved_piece(Move m) const; Piece moved_piece(Move m) const;
Piece captured_piece() const; Piece captured_piece() const;
@@ -170,9 +170,7 @@ public:
// Used by NNUE // Used by NNUE
StateInfo* state() const; StateInfo* state() const;
const EvalList* eval_list() const;
void put_piece(Piece pc, Square s);
void remove_piece(Square s);
private: private:
// Initialization helpers (used while setting up a position) // Initialization helpers (used while setting up a position)
@@ -181,26 +179,40 @@ private:
void set_check_info(StateInfo* si) const; void set_check_info(StateInfo* si) const;
// Other helpers // Other helpers
void put_piece(Piece pc, Square s);
void remove_piece(Square s);
void move_piece(Square from, Square to); void move_piece(Square from, Square to);
template<bool Do> template<bool Do>
void do_castling(Color us, Square from, Square& to, Square& rfrom, Square& rto); void do_castling(Color us, Square from, Square& to, Square& rfrom, Square& rto);
// ID of a piece on a given square
PieceId piece_id_on(Square sq) const;
// Data members // Data members
Piece board[SQUARE_NB]; Piece board[SQUARE_NB];
Bitboard byTypeBB[PIECE_TYPE_NB]; Bitboard byTypeBB[PIECE_TYPE_NB];
Bitboard byColorBB[COLOR_NB]; Bitboard byColorBB[COLOR_NB];
int pieceCount[PIECE_NB]; int pieceCount[PIECE_NB];
Square pieceList[PIECE_NB][16];
int index[SQUARE_NB];
int castlingRightsMask[SQUARE_NB]; int castlingRightsMask[SQUARE_NB];
Square castlingRookSquare[CASTLING_RIGHT_NB]; Square castlingRookSquare[CASTLING_RIGHT_NB];
Bitboard castlingPath[CASTLING_RIGHT_NB]; Bitboard castlingPath[CASTLING_RIGHT_NB];
Thread* thisThread;
StateInfo* st;
int gamePly; int gamePly;
Color sideToMove; Color sideToMove;
Score psq; Score psq;
Thread* thisThread;
StateInfo* st;
bool chess960; bool chess960;
// List of pieces used in NNUE evaluation function
EvalList evalList;
}; };
namespace PSQT {
extern Score psq[PIECE_NB][SQUARE_NB];
}
extern std::ostream& operator<<(std::ostream& os, const Position& pos); extern std::ostream& operator<<(std::ostream& os, const Position& pos);
inline Color Position::side_to_move() const { inline Color Position::side_to_move() const {
@@ -248,9 +260,13 @@ template<PieceType Pt> inline int Position::count() const {
return count<Pt>(WHITE) + count<Pt>(BLACK); 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 { template<PieceType Pt> inline Square Position::square(Color c) const {
assert(count<Pt>(c) == 1); assert(pieceCount[make_piece(c, Pt)] == 1);
return lsb(pieces(c, Pt)); return squares<Pt>(c)[0];
} }
inline Square Position::ep_square() const { inline Square Position::ep_square() const {
@@ -285,22 +301,6 @@ inline Bitboard Position::attackers_to(Square s) const {
return attackers_to(s, pieces()); 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::checkers() const { inline Bitboard Position::checkers() const {
return st->checkersBB; return st->checkersBB;
} }
@@ -309,25 +309,29 @@ inline Bitboard Position::blockers_for_king(Color c) const {
return st->blockersForKing[c]; return st->blockersForKing[c];
} }
inline Bitboard Position::pinners(Color c) const {
return st->pinners[c];
}
inline Bitboard Position::check_squares(PieceType pt) const { inline Bitboard Position::check_squares(PieceType pt) const {
return st->checkSquares[pt]; return st->checkSquares[pt];
} }
inline bool Position::is_discovery_check_on_king(Color c, Move m) const {
return st->blockersForKing[c] & from_sq(m);
}
inline bool Position::pawn_passed(Color c, Square s) const { inline bool Position::pawn_passed(Color c, Square s) const {
return !(pieces(~c, PAWN) & passed_pawn_span(c, s)); 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 { inline int Position::pawns_on_same_color_squares(Color c, Square s) const {
return popcount(pieces(c, PAWN) & ((DarkSquares & s) ? DarkSquares : ~DarkSquares)); return popcount(pieces(c, PAWN) & ((DarkSquares & s) ? DarkSquares : ~DarkSquares));
} }
inline Key Position::key() const { inline Key Position::key() const {
return st->rule50 < 14 ? st->key return st->key;
: st->key ^ make_key((st->rule50 - 14) / 8);
} }
inline Key Position::pawn_key() const { inline Key Position::pawn_key() const {
@@ -368,10 +372,15 @@ inline bool Position::is_chess960() const {
return chess960; 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 { inline bool Position::capture(Move m) const {
assert(is_ok(m)); assert(is_ok(m));
// Castling is encoded as "king captures rook" // Castling is encoded as "king captures rook"
return (!empty(to_sq(m)) && type_of(m) != CASTLING) || type_of(m) == EN_PASSANT; return (!empty(to_sq(m)) && type_of(m) != CASTLING) || type_of(m) == ENPASSANT;
} }
inline Piece Position::captured_piece() const { inline Piece Position::captured_piece() const {
@@ -387,25 +396,35 @@ inline void Position::put_piece(Piece pc, Square s) {
board[s] = pc; board[s] = pc;
byTypeBB[ALL_PIECES] |= byTypeBB[type_of(pc)] |= s; byTypeBB[ALL_PIECES] |= byTypeBB[type_of(pc)] |= s;
byColorBB[color_of(pc)] |= s; byColorBB[color_of(pc)] |= s;
pieceCount[pc]++; index[s] = pieceCount[pc]++;
pieceList[pc][index[s]] = s;
pieceCount[make_piece(color_of(pc), ALL_PIECES)]++; pieceCount[make_piece(color_of(pc), ALL_PIECES)]++;
psq += PSQT::psq[pc][s]; psq += PSQT::psq[pc][s];
} }
inline void Position::remove_piece(Square s) { inline void Position::remove_piece(Square s) {
// WARNING: This is not a reversible operation. If we remove a piece in
// do_move() and then replace it in undo_move() we will put it at the end of
// the list and not in its original place, it means index[] and pieceList[]
// are not invariant to a do_move() + undo_move() sequence.
Piece pc = board[s]; Piece pc = board[s];
byTypeBB[ALL_PIECES] ^= s; byTypeBB[ALL_PIECES] ^= s;
byTypeBB[type_of(pc)] ^= s; byTypeBB[type_of(pc)] ^= s;
byColorBB[color_of(pc)] ^= s; byColorBB[color_of(pc)] ^= s;
board[s] = NO_PIECE; /* board[s] = NO_PIECE; Not needed, overwritten by the capturing one */
pieceCount[pc]--; 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)]--; pieceCount[make_piece(color_of(pc), ALL_PIECES)]--;
psq -= PSQT::psq[pc][s]; psq -= PSQT::psq[pc][s];
} }
inline void Position::move_piece(Square from, Square to) { inline void Position::move_piece(Square from, Square to) {
// index[from] is not updated and becomes stale. This works as long as index[]
// is accessed just by known occupied squares.
Piece pc = board[from]; Piece pc = board[from];
Bitboard fromTo = from | to; Bitboard fromTo = from | to;
byTypeBB[ALL_PIECES] ^= fromTo; byTypeBB[ALL_PIECES] ^= fromTo;
@@ -413,6 +432,8 @@ inline void Position::move_piece(Square from, Square to) {
byColorBB[color_of(pc)] ^= fromTo; byColorBB[color_of(pc)] ^= fromTo;
board[from] = NO_PIECE; board[from] = NO_PIECE;
board[to] = pc; board[to] = pc;
index[to] = index[from];
pieceList[pc][index[to]] = to;
psq += PSQT::psq[pc][to] - PSQT::psq[pc][from]; psq += PSQT::psq[pc][to] - PSQT::psq[pc][from];
} }
@@ -425,6 +446,20 @@ inline StateInfo* Position::state() const {
return st; return st;
} }
} // namespace Stockfish 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 #endif // #ifndef POSITION_H_INCLUDED
+35 -44
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -16,23 +16,19 @@
along with this program. If not, see <http://www.gnu.org/licenses/>. along with this program. If not, see <http://www.gnu.org/licenses/>.
*/ */
#include "psqt.h"
#include <algorithm> #include <algorithm>
#include "bitboard.h"
#include "types.h" #include "types.h"
#include "bitboard.h"
namespace Stockfish { namespace PSQT {
namespace #define S(mg, eg) make_score(mg, eg)
{
auto constexpr S = make_score; // Bonus[PieceType][Square / 2] contains Piece-Square scores. For each piece
// type on a given square a (middlegame, endgame) score pair is assigned. Table
// 'Bonus' contains Piece-Square parameters. // is defined for files A..D and white side: it is symmetric for black side and
// Scores are explicit for files A to D, implicitly mirrored for E to H. // second half of the files.
constexpr Score Bonus[][RANK_NB][int(FILE_NB) / 2] = { constexpr Score Bonus[][RANK_NB][int(FILE_NB) / 2] = {
{ }, { },
{ }, { },
@@ -47,14 +43,14 @@ constexpr Score Bonus[][RANK_NB][int(FILE_NB) / 2] = {
{ S(-201,-100), S(-83,-88), S(-56,-56), S(-26,-17) } { S(-201,-100), S(-83,-88), S(-56,-56), S(-26,-17) }
}, },
{ // Bishop { // Bishop
{ S(-37,-40), S(-4 ,-21), S( -6,-26), S(-16, -8) }, { S(-53,-57), S( -5,-30), S( -8,-37), S(-23,-12) },
{ S(-11,-26), S( 6, -9), S( 13,-12), S( 3, 1) }, { S(-15,-37), S( 8,-13), S( 19,-17), S( 4, 1) },
{ S(-5 ,-11), S( 15, -1), S( -4, -1), S( 12, 7) }, { S( -7,-16), S( 21, -1), S( -5, -2), S( 17, 10) },
{ S(-4 ,-14), S( 8, -4), S( 18, 0), S( 27, 12) }, { S( -5,-20), S( 11, -6), S( 25, 0), S( 39, 17) },
{ S(-8 ,-12), S( 20, -1), S( 15,-10), S( 22, 11) }, { S(-12,-17), S( 29, -1), S( 22,-14), S( 31, 15) },
{ S(-11,-21), S( 4, 4), S( 1, 3), S( 8, 4) }, { S(-16,-30), S( 6, 6), S( 1, 4), S( 11, 6) },
{ S(-12,-22), S(-10,-14), S( 4, -1), S( 0, 1) }, { S(-17,-31), S(-14,-20), S( 5, -1), S( 0, 1) },
{ S(-34,-32), S( 1,-29), S(-10,-26), S(-16,-17) } { S(-48,-46), S( 1,-42), S(-14,-37), S(-23,-24) }
}, },
{ // Rook { // Rook
{ S(-31, -9), S(-20,-13), S(-14,-10), S(-5, -9) }, { S(-31, -9), S(-20,-13), S(-14,-10), S(-5, -9) },
@@ -68,13 +64,13 @@ constexpr Score Bonus[][RANK_NB][int(FILE_NB) / 2] = {
}, },
{ // Queen { // Queen
{ S( 3,-69), S(-5,-57), S(-5,-47), S( 4,-26) }, { S( 3,-69), S(-5,-57), S(-5,-47), S( 4,-26) },
{ S(-3,-54), S( 5,-31), S( 8,-22), S(12, -4) }, { S(-3,-55), S( 5,-31), S( 8,-22), S(12, -4) },
{ S(-3,-39), S( 6,-18), S(13, -9), S( 7, 3) }, { 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( 4,-23), S( 5, -3), S( 9, 13), S( 8, 24) },
{ S( 0,-29), S(14, -6), S(12, 9), S( 5, 21) }, { S( 0,-29), S(14, -6), S(12, 9), S( 5, 21) },
{ S(-4,-38), S(10,-18), S( 6,-11), S( 8, 1) }, { S(-4,-38), S(10,-18), S( 6,-12), S( 8, 1) },
{ S(-5,-50), S( 6,-27), S(10,-24), S( 8, -8) }, { S(-5,-50), S( 6,-27), S(10,-24), S( 8, -8) },
{ S(-2,-74), S(-2,-52), S( 1,-43), S(-2,-34) } { S(-2,-75), S(-2,-52), S( 1,-43), S(-2,-36) }
}, },
{ // King { // King
{ S(271, 1), S(327, 45), S(271, 85), S(198, 76) }, { S(271, 1), S(327, 45), S(271, 85), S(198, 76) },
@@ -91,22 +87,19 @@ constexpr Score Bonus[][RANK_NB][int(FILE_NB) / 2] = {
constexpr Score PBonus[RANK_NB][FILE_NB] = constexpr Score PBonus[RANK_NB][FILE_NB] =
{ // Pawn (asymmetric distribution) { // Pawn (asymmetric distribution)
{ }, { },
{ S( 2, -8), S( 4, -6), S( 11, 9), S( 18, 5), S( 16, 16), S( 21, 6), S( 9, -6), S( -3,-18) }, { S( 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, -9), S(-15, -7), S( 11,-10), S( 15, 5), S( 31, 2), S( 23, 3), S( 6, -8), S(-20, -5) }, { 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( -3, 7), S(-20, 1), S( 8, -8), S( 19, -2), S( 39,-14), S( 17,-13), S( 2,-11), S( -5, -6) }, { 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( 11, 12), S( -4, 6), S(-11, 2), S( 2, -6), S( 11, -5), S( 0, -4), S(-12, 14), S( 5, 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( 3, 27), S(-11, 18), S( -6, 19), S( 22, 29), S( -8, 30), S( -5, 9), S(-14, 8), S(-11, 14) }, { 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, -1), S( 6,-14), S( -2, 13), S(-11, 22), S( 4, 24), S(-14, 17), S( 10, 7), S( -9, 7) } { S( -7, 0), S( 7,-11), S( -3, 12), S(-13, 21), S( 5, 25), S(-16, 19), S( 10, 4), S( -8, 7) }
}; };
} // namespace #undef S
namespace PSQT
{
Score psq[PIECE_NB][SQUARE_NB]; Score psq[PIECE_NB][SQUARE_NB];
// PSQT::init() initializes piece-square tables: the white halves of the tables are // 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 // 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. // the tables are initialized by flipping and changing the sign of the white scores.
@@ -114,18 +107,16 @@ void init() {
for (Piece pc : {W_PAWN, W_KNIGHT, W_BISHOP, W_ROOK, W_QUEEN, W_KING}) for (Piece pc : {W_PAWN, W_KNIGHT, W_BISHOP, W_ROOK, W_QUEEN, W_KING})
{ {
Score score = make_score(PieceValue[MG][pc], PieceValue[EG][pc]); Score score = make_score(PieceValue[MG][pc], PieceValue[EG][pc]);
for (Square s = SQ_A1; s <= SQ_H8; ++s) for (Square s = SQ_A1; s <= SQ_H8; ++s)
{ {
File f = File(edge_distance(file_of(s))); File f = File(edge_distance(file_of(s)));
psq[ pc][s] = score + (type_of(pc) == PAWN ? PBonus[rank_of(s)][file_of(s)] psq[ pc][s] = score + (type_of(pc) == PAWN ? PBonus[rank_of(s)][file_of(s)]
: Bonus[pc][rank_of(s)][f]); : Bonus[pc][rank_of(s)][f]);
psq[~pc][flip_rank(s)] = -psq[pc][s]; psq[~pc][flip_rank(s)] = -psq[pc][s];
} }
} }
} }
} // namespace PSQT } // namespace PSQT
} // namespace Stockfish
+503 -514
View File
File diff suppressed because it is too large Load Diff
+2 -10
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -25,8 +25,6 @@
#include "movepick.h" #include "movepick.h"
#include "types.h" #include "types.h"
namespace Stockfish {
class Position; class Position;
namespace Search { namespace Search {
@@ -47,13 +45,9 @@ struct Stack {
Move excludedMove; Move excludedMove;
Move killers[2]; Move killers[2];
Value staticEval; Value staticEval;
Depth depth;
int statScore; int statScore;
int moveCount; int moveCount;
bool inCheck; bool inCheck;
bool ttPv;
bool ttHit;
int doubleExtensions;
}; };
@@ -73,9 +67,9 @@ struct RootMove {
Value score = -VALUE_INFINITE; Value score = -VALUE_INFINITE;
Value previousScore = -VALUE_INFINITE; Value previousScore = -VALUE_INFINITE;
Value averageScore = -VALUE_INFINITE;
int selDepth = 0; int selDepth = 0;
int tbRank = 0; int tbRank = 0;
int bestMoveCount = 0;
Value tbScore; Value tbScore;
std::vector<Move> pv; std::vector<Move> pv;
}; };
@@ -111,6 +105,4 @@ void clear();
} // namespace Search } // namespace Search
} // namespace Stockfish
#endif // #ifndef SEARCH_H_INCLUDED #endif // #ifndef SEARCH_H_INCLUDED
-387
View File
@@ -1,387 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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_MMX)
# include <mmintrin.h>
#elif defined(USE_NEON)
# include <arm_neon.h>
#endif
// The inline asm is only safe for GCC, where it is necessary to get good codegen.
// See https://gcc.gnu.org/bugzilla/show_bug.cgi?id=101693
// Clang does fine without it.
// Play around here: https://godbolt.org/z/7EWqrYq51
#if (defined(__GNUC__) && !defined(__clang__) && !defined(__INTEL_COMPILER))
#define USE_INLINE_ASM
#endif
// Use either the AVX512 or AVX-VNNI version of the VNNI instructions.
#if defined(USE_AVXVNNI)
#define VNNI_PREFIX "%{vex%} "
#else
#define VNNI_PREFIX ""
#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 __m128i m512_haddx4(
__m512i sum0, __m512i sum1, __m512i sum2, __m512i sum3,
__m128i bias) {
__m512i sum = m512_hadd128x16_interleave(sum0, sum1, sum2, sum3);
__m256i sum256lo = _mm512_castsi512_si256(sum);
__m256i sum256hi = _mm512_extracti64x4_epi64(sum, 1);
sum256lo = _mm256_add_epi32(sum256lo, sum256hi);
__m128i sum128lo = _mm256_castsi256_si128(sum256lo);
__m128i sum128hi = _mm256_extracti128_si256(sum256lo, 1);
return _mm_add_epi32(_mm_add_epi32(sum128lo, sum128hi), bias);
}
[[maybe_unused]] static void m512_add_dpbusd_epi32(
__m512i& acc,
__m512i a,
__m512i b) {
# if defined (USE_VNNI)
# if defined (USE_INLINE_ASM)
asm(
"vpdpbusd %[b], %[a], %[acc]\n\t"
: [acc]"+v"(acc)
: [a]"v"(a), [b]"vm"(b)
);
# else
acc = _mm512_dpbusd_epi32(acc, a, b);
# endif
# else
# if defined (USE_INLINE_ASM)
__m512i tmp = _mm512_maddubs_epi16(a, b);
asm(
"vpmaddwd %[tmp], %[ones], %[tmp]\n\t"
"vpaddd %[acc], %[tmp], %[acc]\n\t"
: [acc]"+v"(acc), [tmp]"+&v"(tmp)
: [ones]"v"(_mm512_set1_epi16(1))
);
# else
__m512i product0 = _mm512_maddubs_epi16(a, b);
product0 = _mm512_madd_epi16(product0, _mm512_set1_epi16(1));
acc = _mm512_add_epi32(acc, product0);
# endif
# endif
}
[[maybe_unused]] static void m512_add_dpbusd_epi32x2(
__m512i& acc,
__m512i a0, __m512i b0,
__m512i a1, __m512i b1) {
# if defined (USE_VNNI)
# if defined (USE_INLINE_ASM)
asm(
"vpdpbusd %[b0], %[a0], %[acc]\n\t"
"vpdpbusd %[b1], %[a1], %[acc]\n\t"
: [acc]"+v"(acc)
: [a0]"v"(a0), [b0]"vm"(b0), [a1]"v"(a1), [b1]"vm"(b1)
);
# else
acc = _mm512_dpbusd_epi32(acc, a0, b0);
acc = _mm512_dpbusd_epi32(acc, a1, b1);
# endif
# else
# if defined (USE_INLINE_ASM)
__m512i tmp0 = _mm512_maddubs_epi16(a0, b0);
__m512i tmp1 = _mm512_maddubs_epi16(a1, b1);
asm(
"vpaddsw %[tmp0], %[tmp1], %[tmp0]\n\t"
"vpmaddwd %[tmp0], %[ones], %[tmp0]\n\t"
"vpaddd %[acc], %[tmp0], %[acc]\n\t"
: [acc]"+v"(acc), [tmp0]"+&v"(tmp0)
: [tmp1]"v"(tmp1), [ones]"v"(_mm512_set1_epi16(1))
);
# else
__m512i product0 = _mm512_maddubs_epi16(a0, b0);
__m512i product1 = _mm512_maddubs_epi16(a1, b1);
product0 = _mm512_adds_epi16(product0, product1);
product0 = _mm512_madd_epi16(product0, _mm512_set1_epi16(1));
acc = _mm512_add_epi32(acc, product0);
# endif
# endif
}
#endif
#if defined (USE_AVX2)
[[maybe_unused]] static int m256_hadd(__m256i sum, int bias) {
__m128i sum128 = _mm_add_epi32(_mm256_castsi256_si128(sum), _mm256_extracti128_si256(sum, 1));
sum128 = _mm_add_epi32(sum128, _mm_shuffle_epi32(sum128, _MM_PERM_BADC));
sum128 = _mm_add_epi32(sum128, _mm_shuffle_epi32(sum128, _MM_PERM_CDAB));
return _mm_cvtsi128_si32(sum128) + bias;
}
[[maybe_unused]] static __m128i m256_haddx4(
__m256i sum0, __m256i sum1, __m256i sum2, __m256i sum3,
__m128i bias) {
sum0 = _mm256_hadd_epi32(sum0, sum1);
sum2 = _mm256_hadd_epi32(sum2, sum3);
sum0 = _mm256_hadd_epi32(sum0, sum2);
__m128i sum128lo = _mm256_castsi256_si128(sum0);
__m128i sum128hi = _mm256_extracti128_si256(sum0, 1);
return _mm_add_epi32(_mm_add_epi32(sum128lo, sum128hi), bias);
}
[[maybe_unused]] static void m256_add_dpbusd_epi32(
__m256i& acc,
__m256i a,
__m256i b) {
# if defined (USE_VNNI)
# if defined (USE_INLINE_ASM)
asm(
VNNI_PREFIX "vpdpbusd %[b], %[a], %[acc]\n\t"
: [acc]"+v"(acc)
: [a]"v"(a), [b]"vm"(b)
);
# else
acc = _mm256_dpbusd_epi32(acc, a, b);
# endif
# else
# if defined (USE_INLINE_ASM)
__m256i tmp = _mm256_maddubs_epi16(a, b);
asm(
"vpmaddwd %[tmp], %[ones], %[tmp]\n\t"
"vpaddd %[acc], %[tmp], %[acc]\n\t"
: [acc]"+v"(acc), [tmp]"+&v"(tmp)
: [ones]"v"(_mm256_set1_epi16(1))
);
# else
__m256i product0 = _mm256_maddubs_epi16(a, b);
product0 = _mm256_madd_epi16(product0, _mm256_set1_epi16(1));
acc = _mm256_add_epi32(acc, product0);
# endif
# endif
}
[[maybe_unused]] static void m256_add_dpbusd_epi32x2(
__m256i& acc,
__m256i a0, __m256i b0,
__m256i a1, __m256i b1) {
# if defined (USE_VNNI)
# if defined (USE_INLINE_ASM)
asm(
VNNI_PREFIX "vpdpbusd %[b0], %[a0], %[acc]\n\t"
VNNI_PREFIX "vpdpbusd %[b1], %[a1], %[acc]\n\t"
: [acc]"+v"(acc)
: [a0]"v"(a0), [b0]"vm"(b0), [a1]"v"(a1), [b1]"vm"(b1)
);
# else
acc = _mm256_dpbusd_epi32(acc, a0, b0);
acc = _mm256_dpbusd_epi32(acc, a1, b1);
# endif
# else
# if defined (USE_INLINE_ASM)
__m256i tmp0 = _mm256_maddubs_epi16(a0, b0);
__m256i tmp1 = _mm256_maddubs_epi16(a1, b1);
asm(
"vpaddsw %[tmp0], %[tmp1], %[tmp0]\n\t"
"vpmaddwd %[tmp0], %[ones], %[tmp0]\n\t"
"vpaddd %[acc], %[tmp0], %[acc]\n\t"
: [acc]"+v"(acc), [tmp0]"+&v"(tmp0)
: [tmp1]"v"(tmp1), [ones]"v"(_mm256_set1_epi16(1))
);
# else
__m256i product0 = _mm256_maddubs_epi16(a0, b0);
__m256i product1 = _mm256_maddubs_epi16(a1, b1);
product0 = _mm256_adds_epi16(product0, product1);
product0 = _mm256_madd_epi16(product0, _mm256_set1_epi16(1));
acc = _mm256_add_epi32(acc, product0);
# endif
# endif
}
#endif
#if defined (USE_SSSE3)
[[maybe_unused]] static int m128_hadd(__m128i sum, int bias) {
sum = _mm_add_epi32(sum, _mm_shuffle_epi32(sum, 0x4E)); //_MM_PERM_BADC
sum = _mm_add_epi32(sum, _mm_shuffle_epi32(sum, 0xB1)); //_MM_PERM_CDAB
return _mm_cvtsi128_si32(sum) + bias;
}
[[maybe_unused]] static __m128i m128_haddx4(
__m128i sum0, __m128i sum1, __m128i sum2, __m128i sum3,
__m128i bias) {
sum0 = _mm_hadd_epi32(sum0, sum1);
sum2 = _mm_hadd_epi32(sum2, sum3);
sum0 = _mm_hadd_epi32(sum0, sum2);
return _mm_add_epi32(sum0, bias);
}
[[maybe_unused]] static void m128_add_dpbusd_epi32(
__m128i& acc,
__m128i a,
__m128i b) {
# if defined (USE_INLINE_ASM)
__m128i tmp = _mm_maddubs_epi16(a, b);
asm(
"pmaddwd %[ones], %[tmp]\n\t"
"paddd %[tmp], %[acc]\n\t"
: [acc]"+v"(acc), [tmp]"+&v"(tmp)
: [ones]"v"(_mm_set1_epi16(1))
);
# else
__m128i product0 = _mm_maddubs_epi16(a, b);
product0 = _mm_madd_epi16(product0, _mm_set1_epi16(1));
acc = _mm_add_epi32(acc, product0);
# endif
}
[[maybe_unused]] static void m128_add_dpbusd_epi32x2(
__m128i& acc,
__m128i a0, __m128i b0,
__m128i a1, __m128i b1) {
# if defined (USE_INLINE_ASM)
__m128i tmp0 = _mm_maddubs_epi16(a0, b0);
__m128i tmp1 = _mm_maddubs_epi16(a1, b1);
asm(
"paddsw %[tmp1], %[tmp0]\n\t"
"pmaddwd %[ones], %[tmp0]\n\t"
"paddd %[tmp0], %[acc]\n\t"
: [acc]"+v"(acc), [tmp0]"+&v"(tmp0)
: [tmp1]"v"(tmp1), [ones]"v"(_mm_set1_epi16(1))
);
# else
__m128i product0 = _mm_maddubs_epi16(a0, b0);
__m128i product1 = _mm_maddubs_epi16(a1, b1);
product0 = _mm_adds_epi16(product0, product1);
product0 = _mm_madd_epi16(product0, _mm_set1_epi16(1));
acc = _mm_add_epi32(acc, product0);
# endif
}
#endif
#if defined (USE_NEON)
[[maybe_unused]] static int neon_m128_reduce_add_epi32(int32x4_t s) {
# if USE_NEON >= 8
return vaddvq_s32(s);
# else
return s[0] + s[1] + s[2] + s[3];
# endif
}
[[maybe_unused]] static int neon_m128_hadd(int32x4_t sum, int bias) {
return neon_m128_reduce_add_epi32(sum) + bias;
}
[[maybe_unused]] static int32x4_t neon_m128_haddx4(
int32x4_t sum0, int32x4_t sum1, int32x4_t sum2, int32x4_t sum3,
int32x4_t bias) {
int32x4_t hsums {
neon_m128_reduce_add_epi32(sum0),
neon_m128_reduce_add_epi32(sum1),
neon_m128_reduce_add_epi32(sum2),
neon_m128_reduce_add_epi32(sum3)
};
return vaddq_s32(hsums, bias);
}
[[maybe_unused]] static void neon_m128_add_dpbusd_epi32x2(
int32x4_t& acc,
int8x8_t a0, int8x8_t b0,
int8x8_t a1, int8x8_t b1) {
int16x8_t product = vmull_s8(a0, b0);
product = vmlal_s8(product, a1, b1);
acc = vpadalq_s16(acc, product);
}
#endif
}
#endif // STOCKFISH_SIMD_H_INCLUDED
+28 -45
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -50,11 +50,9 @@
#include <windows.h> #include <windows.h>
#endif #endif
using namespace Stockfish::Tablebases; using namespace Tablebases;
int Stockfish::Tablebases::MaxCardinality; int Tablebases::MaxCardinality;
namespace Stockfish {
namespace { namespace {
@@ -105,6 +103,9 @@ template<> inline void swap_endian<uint8_t>(uint8_t&) {}
template<typename T, int LE> T number(void* addr) template<typename T, int LE> T number(void* addr)
{ {
static const union { uint32_t i; char c[4]; } Le = { 0x01020304 };
static const bool IsLittleEndian = (Le.c[0] == 4);
T v; T v;
if ((uintptr_t)addr & (alignof(T) - 1)) // Unaligned pointer (very rare) if ((uintptr_t)addr & (alignof(T) - 1)) // Unaligned pointer (very rare)
@@ -189,8 +190,7 @@ public:
std::stringstream ss(Paths); std::stringstream ss(Paths);
std::string path; std::string path;
while (std::getline(ss, path, SepChar)) while (std::getline(ss, path, SepChar)) {
{
fname = path + "/" + f; fname = path + "/" + f;
std::ifstream::open(fname); std::ifstream::open(fname);
if (is_open()) if (is_open())
@@ -223,9 +223,7 @@ public:
*mapping = statbuf.st_size; *mapping = statbuf.st_size;
*baseAddress = mmap(nullptr, statbuf.st_size, PROT_READ, MAP_SHARED, fd, 0); *baseAddress = mmap(nullptr, statbuf.st_size, PROT_READ, MAP_SHARED, fd, 0);
#if defined(MADV_RANDOM)
madvise(*baseAddress, statbuf.st_size, MADV_RANDOM); madvise(*baseAddress, statbuf.st_size, MADV_RANDOM);
#endif
::close(fd); ::close(fd);
if (*baseAddress == MAP_FAILED) if (*baseAddress == MAP_FAILED)
@@ -565,8 +563,7 @@ int decompress_pairs(PairsData* d, uint64_t idx) {
int buf64Size = 64; int buf64Size = 64;
Sym sym; Sym sym;
while (true) while (true) {
{
int len = 0; // This is the symbol length - d->min_sym_len int len = 0; // This is the symbol length - d->min_sym_len
// Now get the symbol length. For any symbol s64 of length l right-padded // Now get the symbol length. For any symbol s64 of length l right-padded
@@ -604,8 +601,8 @@ int decompress_pairs(PairsData* d, uint64_t idx) {
// We binary-search for our value recursively expanding into the left and // We binary-search for our value recursively expanding into the left and
// right child symbols until we reach a leaf node where symlen[sym] + 1 == 1 // right child symbols until we reach a leaf node where symlen[sym] + 1 == 1
// that will store the value we need. // that will store the value we need.
while (d->symlen[sym]) while (d->symlen[sym]) {
{
Sym left = d->btree[sym].get<LR::Left>(); Sym left = d->btree[sym].get<LR::Left>();
// If a symbol contains 36 sub-symbols (d->symlen[sym] + 1 = 36) and // If a symbol contains 36 sub-symbols (d->symlen[sym] + 1 = 36) and
@@ -710,7 +707,7 @@ Ret do_probe_table(const Position& pos, T* entry, WDLScore wdl, ProbeState* resu
leadPawns = b = pos.pieces(color_of(pc), PAWN); leadPawns = b = pos.pieces(color_of(pc), PAWN);
do do
squares[size++] = pop_lsb(b) ^ flipSquares; squares[size++] = pop_lsb(&b) ^ flipSquares;
while (b); while (b);
leadPawnsCnt = size; leadPawnsCnt = size;
@@ -730,7 +727,7 @@ Ret do_probe_table(const Position& pos, T* entry, WDLScore wdl, ProbeState* resu
// directly map them to the correct color and square. // directly map them to the correct color and square.
b = pos.pieces() ^ leadPawns; b = pos.pieces() ^ leadPawns;
do { do {
Square s = pop_lsb(b); Square s = pop_lsb(&b);
squares[size] = s ^ flipSquares; squares[size] = s ^ flipSquares;
pieces[size++] = Piece(pos.piece_on(s) ^ flipColor); pieces[size++] = Piece(pos.piece_on(s) ^ flipColor);
} while (b); } while (b);
@@ -761,7 +758,7 @@ Ret do_probe_table(const Position& pos, T* entry, WDLScore wdl, ProbeState* resu
if (entry->hasPawns) { if (entry->hasPawns) {
idx = LeadPawnIdx[leadPawnsCnt][squares[0]]; idx = LeadPawnIdx[leadPawnsCnt][squares[0]];
std::stable_sort(squares + 1, squares + leadPawnsCnt, pawns_comp); std::sort(squares + 1, squares + leadPawnsCnt, pawns_comp);
for (int i = 1; i < leadPawnsCnt; ++i) for (int i = 1; i < leadPawnsCnt; ++i)
idx += Binomial[i][MapPawns[squares[i]]]; idx += Binomial[i][MapPawns[squares[i]]];
@@ -769,7 +766,7 @@ Ret do_probe_table(const Position& pos, T* entry, WDLScore wdl, ProbeState* resu
goto encode_remaining; // With pawns we have finished special treatments goto encode_remaining; // With pawns we have finished special treatments
} }
// In positions without pawns, we further flip the squares to ensure leading // In positions withouth pawns, we further flip the squares to ensure leading
// piece is below RANK_5. // piece is below RANK_5.
if (rank_of(squares[0]) > RANK_4) if (rank_of(squares[0]) > RANK_4)
for (int i = 0; i < size; ++i) for (int i = 0; i < size; ++i)
@@ -812,7 +809,7 @@ Ret do_probe_table(const Position& pos, T* entry, WDLScore wdl, ProbeState* resu
// Rs "together" in 62 * 61 / 2 ways (we divide by 2 because rooks can be // Rs "together" in 62 * 61 / 2 ways (we divide by 2 because rooks can be
// swapped and still get the same position.) // swapped and still get the same position.)
// //
// In case we have at least 3 unique pieces (included kings) we encode them // In case we have at least 3 unique pieces (inlcuded kings) we encode them
// together. // together.
if (entry->hasUniquePieces) { if (entry->hasUniquePieces) {
@@ -827,7 +824,7 @@ Ret do_probe_table(const Position& pos, T* entry, WDLScore wdl, ProbeState* resu
+ (squares[1] - adjust1)) * 62 + (squares[1] - adjust1)) * 62
+ squares[2] - adjust2; + squares[2] - adjust2;
// First piece is on a1-h8 diagonal, second below: map this occurrence to // First piece is on a1-h8 diagonal, second below: map this occurence to
// 6 to differentiate from the above case, rank_of() maps a1-d4 diagonal // 6 to differentiate from the above case, rank_of() maps a1-d4 diagonal
// to 0...3 and finally MapB1H1H7[] maps the b1-h1-h7 triangle to 0..27. // to 0...3 and finally MapB1H1H7[] maps the b1-h1-h7 triangle to 0..27.
else if (off_A1H8(squares[1])) else if (off_A1H8(squares[1]))
@@ -857,12 +854,12 @@ encode_remaining:
idx *= d->groupIdx[0]; idx *= d->groupIdx[0];
Square* groupSq = squares + d->groupLen[0]; Square* groupSq = squares + d->groupLen[0];
// Encode remaining pawns then pieces according to square, in ascending order // Encode remainig pawns then pieces according to square, in ascending order
bool remainingPawns = entry->hasPawns && entry->pawnCount[1]; bool remainingPawns = entry->hasPawns && entry->pawnCount[1];
while (d->groupLen[++next]) while (d->groupLen[++next])
{ {
std::stable_sort(groupSq, groupSq + d->groupLen[next]); std::sort(groupSq, groupSq + d->groupLen[next]);
uint64_t n = 0; uint64_t n = 0;
// Map down a square if "comes later" than a square in the previous // Map down a square if "comes later" than a square in the previous
@@ -885,7 +882,7 @@ encode_remaining:
// Group together pieces that will be encoded together. The general rule is that // Group together pieces that will be encoded together. The general rule is that
// a group contains pieces of same type and color. The exception is the leading // a group contains pieces of same type and color. The exception is the leading
// group that, in case of positions without pawns, can be formed by 3 different // group that, in case of positions withouth pawns, can be formed by 3 different
// pieces (default) or by the king pair when there is not a unique piece apart // pieces (default) or by the king pair when there is not a unique piece apart
// from the kings. When there are pawns, pawns are always first in pieces[]. // from the kings. When there are pawns, pawns are always first in pieces[].
// //
@@ -917,7 +914,7 @@ void set_groups(T& e, PairsData* d, int order[], File f) {
// //
// This ensures unique encoding for the whole position. The order of the // This ensures unique encoding for the whole position. The order of the
// groups is a per-table parameter and could not follow the canonical leading // groups is a per-table parameter and could not follow the canonical leading
// pawns/pieces -> remaining pawns -> remaining pieces. In particular the // pawns/pieces -> remainig pawns -> remaining pieces. In particular the
// first group is at order[0] position and the remaining pawns, when present, // first group is at order[0] position and the remaining pawns, when present,
// are at order[1] position. // are at order[1] position.
bool pp = e.hasPawns && e.pawnCount[1]; // Pawns on both sides bool pp = e.hasPawns && e.pawnCount[1]; // Pawns on both sides
@@ -937,7 +934,7 @@ void set_groups(T& e, PairsData* d, int order[], File f) {
d->groupIdx[1] = idx; d->groupIdx[1] = idx;
idx *= Binomial[d->groupLen[1]][48 - d->groupLen[0]]; idx *= Binomial[d->groupLen[1]][48 - d->groupLen[0]];
} }
else // Remaining pieces else // Remainig pieces
{ {
d->groupIdx[next] = idx; d->groupIdx[next] = idx;
idx *= Binomial[d->groupLen[next]][freeSquares]; idx *= Binomial[d->groupLen[next]][freeSquares];
@@ -947,7 +944,7 @@ void set_groups(T& e, PairsData* d, int order[], File f) {
d->groupIdx[n] = idx; d->groupIdx[n] = idx;
} }
// In Recursive Pairing each symbol represents a pair of children symbols. So // In Recursive Pairing each symbol represents a pair of childern symbols. So
// read d->btree[] symbols data and expand each one in his left and right child // read d->btree[] symbols data and expand each one in his left and right child
// symbol until reaching the leafs that represent the symbol value. // symbol until reaching the leafs that represent the symbol value.
uint8_t set_symlen(PairsData* d, Sym s, std::vector<bool>& visited) { uint8_t set_symlen(PairsData* d, Sym s, std::vector<bool>& visited) {
@@ -1001,7 +998,7 @@ uint8_t* set_sizes(PairsData* d, uint8_t* data) {
// so that d->lowestSym[i] >= d->lowestSym[i+1] (when read as LittleEndian). // so that d->lowestSym[i] >= d->lowestSym[i+1] (when read as LittleEndian).
// Starting from this we compute a base64[] table indexed by symbol length // Starting from this we compute a base64[] table indexed by symbol length
// and containing 64 bit values so that d->base64[i] >= d->base64[i+1]. // and containing 64 bit values so that d->base64[i] >= d->base64[i+1].
// See https://en.wikipedia.org/wiki/Huffman_coding // See http://www.eecs.harvard.edu/~michaelm/E210/huffman.pdf
for (int i = d->base64.size() - 2; i >= 0; --i) { for (int i = d->base64.size() - 2; i >= 0; --i) {
d->base64[i] = (d->base64[i + 1] + number<Sym, LittleEndian>(&d->lowestSym[i]) d->base64[i] = (d->base64[i + 1] + number<Sym, LittleEndian>(&d->lowestSym[i])
- number<Sym, LittleEndian>(&d->lowestSym[i + 1])) / 2; - number<Sym, LittleEndian>(&d->lowestSym[i + 1])) / 2;
@@ -1142,7 +1139,7 @@ void* mapped(TBTable<Type>& e, const Position& pos) {
if (e.ready.load(std::memory_order_acquire)) if (e.ready.load(std::memory_order_acquire))
return e.baseAddress; // Could be nullptr if file does not exist return e.baseAddress; // Could be nullptr if file does not exist
std::scoped_lock<std::mutex> lk(mutex); std::unique_lock<std::mutex> lk(mutex);
if (e.ready.load(std::memory_order_relaxed)) // Recheck under lock if (e.ready.load(std::memory_order_relaxed)) // Recheck under lock
return e.baseAddress; return e.baseAddress;
@@ -1317,7 +1314,7 @@ void Tablebases::init(const std::string& paths) {
for (auto p : bothOnDiagonal) for (auto p : bothOnDiagonal)
MapKK[p.first][p.second] = code++; MapKK[p.first][p.second] = code++;
// Binomial[] stores the Binomial Coefficients using Pascal rule. There // Binomial[] stores the Binomial Coefficents using Pascal rule. There
// are Binomial[k][n] ways to choose k elements from a set of n elements. // are Binomial[k][n] ways to choose k elements from a set of n elements.
Binomial[0][0] = 1; Binomial[0][0] = 1;
@@ -1337,7 +1334,7 @@ void Tablebases::init(const std::string& paths) {
for (int leadPawnsCnt = 1; leadPawnsCnt <= 5; ++leadPawnsCnt) for (int leadPawnsCnt = 1; leadPawnsCnt <= 5; ++leadPawnsCnt)
for (File f = FILE_A; f <= FILE_D; ++f) for (File f = FILE_A; f <= FILE_D; ++f)
{ {
// Restart the index at every file because TB table is split // Restart the index at every file because TB table is splitted
// by file, so we can reuse the same index for different files. // by file, so we can reuse the same index for different files.
int idx = 0; int idx = 0;
@@ -1441,7 +1438,7 @@ WDLScore Tablebases::probe_wdl(Position& pos, ProbeState* result) {
// If n = 100 immediately after a capture or pawn move, then the position // If n = 100 immediately after a capture or pawn move, then the position
// is also certainly a win, and during the whole phase until the next // is also certainly a win, and during the whole phase until the next
// capture or pawn move, the inequality to be preserved is // capture or pawn move, the inequality to be preserved is
// dtz + 50-move-counter <= 100. // dtz + 50-movecounter <= 100.
// //
// In short, if a move is available resulting in dtz + 50-move-counter <= 99, // In short, if a move is available resulting in dtz + 50-move-counter <= 99,
// then do not accept moves leading to dtz + 50-move-counter == 100. // then do not accept moves leading to dtz + 50-move-counter == 100.
@@ -1536,14 +1533,6 @@ bool Tablebases::root_probe(Position& pos, Search::RootMoves& rootMoves) {
WDLScore wdl = -probe_wdl(pos, &result); WDLScore wdl = -probe_wdl(pos, &result);
dtz = dtz_before_zeroing(wdl); dtz = dtz_before_zeroing(wdl);
} }
else if (pos.is_draw(1))
{
// In case a root move leads to a draw by repetition or
// 50-move rule, we set dtz to zero. Note: since we are
// only 1 ply from the root, this must be a true 3-fold
// repetition inside the game history.
dtz = 0;
}
else else
{ {
// Otherwise, take dtz for the new position and correct by 1 ply // Otherwise, take dtz for the new position and correct by 1 ply
@@ -1594,7 +1583,6 @@ bool Tablebases::root_probe_wdl(Position& pos, Search::RootMoves& rootMoves) {
ProbeState result; ProbeState result;
StateInfo st; StateInfo st;
WDLScore wdl;
bool rule50 = Options["Syzygy50MoveRule"]; bool rule50 = Options["Syzygy50MoveRule"];
@@ -1603,10 +1591,7 @@ bool Tablebases::root_probe_wdl(Position& pos, Search::RootMoves& rootMoves) {
{ {
pos.do_move(m.pv[0], st); pos.do_move(m.pv[0], st);
if (pos.is_draw(1)) WDLScore wdl = -probe_wdl(pos, &result);
wdl = WDLDraw;
else
wdl = -probe_wdl(pos, &result);
pos.undo_move(m.pv[0]); pos.undo_move(m.pv[0]);
@@ -1623,5 +1608,3 @@ bool Tablebases::root_probe_wdl(Position& pos, Search::RootMoves& rootMoves) {
return true; return true;
} }
} // namespace Stockfish
+4 -4
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -23,7 +23,7 @@
#include "../search.h" #include "../search.h"
namespace Stockfish::Tablebases { namespace Tablebases {
enum WDLScore { enum WDLScore {
WDLLoss = -2, // Loss WDLLoss = -2, // Loss
@@ -38,7 +38,7 @@ enum WDLScore {
// Possible states after a probing operation // Possible states after a probing operation
enum ProbeState { enum ProbeState {
FAIL = 0, // Probe failed (missing file table) FAIL = 0, // Probe failed (missing file table)
OK = 1, // Probe successful OK = 1, // Probe succesful
CHANGE_STM = -1, // DTZ should check the other side CHANGE_STM = -1, // DTZ should check the other side
ZEROING_BEST_MOVE = 2 // Best move zeroes DTZ (capture or pawn move) ZEROING_BEST_MOVE = 2 // Best move zeroes DTZ (capture or pawn move)
}; };
@@ -73,6 +73,6 @@ inline std::ostream& operator<<(std::ostream& os, const ProbeState v) {
return os; return os;
} }
} // namespace Stockfish::Tablebases }
#endif #endif
+34 -26
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -26,8 +26,6 @@
#include "syzygy/tbprobe.h" #include "syzygy/tbprobe.h"
#include "tt.h" #include "tt.h"
namespace Stockfish {
ThreadPool Threads; // Global object ThreadPool Threads; // Global object
@@ -53,12 +51,24 @@ Thread::~Thread() {
} }
/// 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 /// Thread::clear() reset histories, usually before a new game
void Thread::clear() { void Thread::clear() {
counterMoves.fill(MOVE_NONE); counterMoves.fill(MOVE_NONE);
mainHistory.fill(0); mainHistory.fill(0);
lowPlyHistory.fill(0);
captureHistory.fill(0); captureHistory.fill(0);
for (bool inCheck : { false, true }) for (bool inCheck : { false, true })
@@ -66,7 +76,7 @@ void Thread::clear() {
{ {
for (auto& to : continuationHistory[inCheck][c]) for (auto& to : continuationHistory[inCheck][c])
for (auto& h : to) for (auto& h : to)
h->fill(-71); h->fill(0);
continuationHistory[inCheck][c][NO_PIECE][0]->fill(Search::CounterMovePruneThreshold - 1); continuationHistory[inCheck][c][NO_PIECE][0]->fill(Search::CounterMovePruneThreshold - 1);
} }
} }
@@ -127,16 +137,14 @@ void Thread::idle_loop() {
void ThreadPool::set(size_t requested) { void ThreadPool::set(size_t requested) {
if (size() > 0) // destroy any existing thread(s) if (size() > 0) { // destroy any existing thread(s)
{
main()->wait_for_search_finished(); main()->wait_for_search_finished();
while (size() > 0) while (size() > 0)
delete back(), pop_back(); delete back(), pop_back();
} }
if (requested > 0) // create new thread(s) if (requested > 0) { // create new thread(s)
{
push_back(new MainThread(0)); push_back(new MainThread(0));
while (size() < requested) while (size() < requested)
@@ -161,7 +169,6 @@ void ThreadPool::clear() {
main()->callsCnt = 0; main()->callsCnt = 0;
main()->bestPreviousScore = VALUE_INFINITE; main()->bestPreviousScore = VALUE_INFINITE;
main()->bestPreviousAverageScore = VALUE_INFINITE;
main()->previousTimeReduction = 1.0; main()->previousTimeReduction = 1.0;
} }
@@ -197,18 +204,21 @@ void ThreadPool::start_thinking(Position& pos, StateListPtr& states,
// We use Position::set() to set root position across threads. But there are // We use Position::set() to set root position across threads. But there are
// some StateInfo fields (previous, pliesFromNull, capturedPiece) that cannot // some StateInfo fields (previous, pliesFromNull, capturedPiece) that cannot
// be deduced from a fen string, so set() clears them and they are set from // be deduced from a fen string, so set() clears them and to not lose the info
// setupStates->back() later. The rootState is per thread, earlier states are shared // we need to backup and later restore setupStates->back(). Note that setupStates
// since they are read-only. // is shared by threads but is accessed in read-only mode.
StateInfo tmp = setupStates->back();
for (Thread* th : *this) for (Thread* th : *this)
{ {
th->nodes = th->tbHits = th->nmpMinPly = th->bestMoveChanges = 0; th->nodes = th->tbHits = th->nmpMinPly = th->bestMoveChanges = 0;
th->rootDepth = th->completedDepth = 0; th->rootDepth = th->completedDepth = 0;
th->rootMoves = rootMoves; th->rootMoves = rootMoves;
th->rootPos.set(pos.fen(), pos.is_chess960(), &th->rootState, th); th->rootPos.set(pos.fen(), pos.is_chess960(), &setupStates->back(), th);
th->rootState = setupStates->back();
} }
setupStates->back() = tmp;
main()->start_searching(); main()->start_searching();
} }
@@ -228,16 +238,16 @@ Thread* ThreadPool::get_best_thread() const {
votes[th->rootMoves[0].pv[0]] += votes[th->rootMoves[0].pv[0]] +=
(th->rootMoves[0].score - minScore + 14) * int(th->completedDepth); (th->rootMoves[0].score - minScore + 14) * int(th->completedDepth);
if (abs(bestThread->rootMoves[0].score) >= VALUE_TB_WIN_IN_MAX_PLY) 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 // Make sure we pick the shortest mate / TB conversion or stave off mate the longest
if (th->rootMoves[0].score > bestThread->rootMoves[0].score) if (th->rootMoves[0].score > bestThread->rootMoves[0].score)
bestThread = th; bestThread = th;
} }
else if ( th->rootMoves[0].score >= VALUE_TB_WIN_IN_MAX_PLY else if ( th->rootMoves[0].score >= VALUE_TB_WIN_IN_MAX_PLY
|| ( th->rootMoves[0].score > VALUE_TB_LOSS_IN_MAX_PLY || ( th->rootMoves[0].score > VALUE_TB_LOSS_IN_MAX_PLY
&& votes[th->rootMoves[0].pv[0]] > votes[bestThread->rootMoves[0].pv[0]])) && votes[th->rootMoves[0].pv[0]] > votes[bestThread->rootMoves[0].pv[0]]))
bestThread = th; bestThread = th;
} }
return bestThread; return bestThread;
@@ -262,5 +272,3 @@ void ThreadPool::wait_for_search_finished() const {
if (th != front()) if (th != front())
th->wait_for_search_finished(); th->wait_for_search_finished();
} }
} // namespace Stockfish
+7 -13
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -32,7 +32,6 @@
#include "search.h" #include "search.h"
#include "thread_win32_osx.h" #include "thread_win32_osx.h"
namespace Stockfish {
/// Thread class keeps together all the thread-related stuff. We use /// Thread class keeps together all the thread-related stuff. We use
/// per-thread pawn and material hash tables so that once we get a /// per-thread pawn and material hash tables so that once we get a
@@ -55,27 +54,25 @@ public:
void idle_loop(); void idle_loop();
void start_searching(); void start_searching();
void wait_for_search_finished(); void wait_for_search_finished();
size_t id() const { return idx; } int best_move_count(Move move) const;
Pawns::Table pawnsTable; Pawns::Table pawnsTable;
Material::Table materialTable; Material::Table materialTable;
size_t pvIdx, pvLast; size_t pvIdx, pvLast;
RunningAverage complexityAverage; uint64_t ttHitAverage;
std::atomic<uint64_t> nodes, tbHits, bestMoveChanges;
int selDepth, nmpMinPly; int selDepth, nmpMinPly;
Color nmpColor; Color nmpColor;
Value bestValue, optimism[COLOR_NB]; std::atomic<uint64_t> nodes, tbHits, bestMoveChanges;
Position rootPos; Position rootPos;
StateInfo rootState;
Search::RootMoves rootMoves; Search::RootMoves rootMoves;
Depth rootDepth, completedDepth, depth; Depth rootDepth, completedDepth;
Value rootDelta;
CounterMoveHistory counterMoves; CounterMoveHistory counterMoves;
ButterflyHistory mainHistory; ButterflyHistory mainHistory;
LowPlyHistory lowPlyHistory;
CapturePieceToHistory captureHistory; CapturePieceToHistory captureHistory;
ContinuationHistory continuationHistory[2][2]; ContinuationHistory continuationHistory[2][2];
Score trend; Score contempt;
}; };
@@ -90,7 +87,6 @@ struct MainThread : public Thread {
double previousTimeReduction; double previousTimeReduction;
Value bestPreviousScore; Value bestPreviousScore;
Value bestPreviousAverageScore;
Value iterValue[4]; Value iterValue[4];
int callsCnt; int callsCnt;
bool stopOnPonderhit; bool stopOnPonderhit;
@@ -131,6 +127,4 @@ private:
extern ThreadPool Threads; extern ThreadPool Threads;
} // namespace Stockfish
#endif // #ifndef THREAD_H_INCLUDED #endif // #ifndef THREAD_H_INCLUDED
+2 -10
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -27,12 +27,10 @@
/// The implementation calls pthread_create() with the stack size parameter /// The implementation calls pthread_create() with the stack size parameter
/// equal to the linux 8MB default, on platforms that support it. /// 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 <pthread.h>
namespace Stockfish {
static const size_t TH_STACK_SIZE = 8 * 1024 * 1024; static const size_t TH_STACK_SIZE = 8 * 1024 * 1024;
template <class T, class P = std::pair<T*, void(T::*)()>> template <class T, class P = std::pair<T*, void(T::*)()>>
@@ -59,16 +57,10 @@ public:
void join() { pthread_join(thread, NULL); } void join() { pthread_join(thread, NULL); }
}; };
} // namespace Stockfish
#else // Default case: use STL classes #else // Default case: use STL classes
namespace Stockfish {
typedef std::thread NativeThread; typedef std::thread NativeThread;
} // namespace Stockfish
#endif #endif
#endif // #ifndef THREAD_WIN32_OSX_H_INCLUDED #endif // #ifndef THREAD_WIN32_OSX_H_INCLUDED
+12 -20
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -24,8 +24,6 @@
#include "timeman.h" #include "timeman.h"
#include "uci.h" #include "uci.h"
namespace Stockfish {
TimeManagement Time; // Our global time management object TimeManagement Time; // Our global time management object
@@ -40,9 +38,9 @@ void TimeManagement::init(Search::LimitsType& limits, Color us, int ply) {
TimePoint slowMover = TimePoint(Options["Slow Mover"]); TimePoint slowMover = TimePoint(Options["Slow Mover"]);
TimePoint npmsec = TimePoint(Options["nodestime"]); TimePoint npmsec = TimePoint(Options["nodestime"]);
// optScale is a percentage of available time to use for the current move. // opt_scale is a percentage of available time to use for the current move.
// maxScale is a multiplier applied to optimumTime. // max_scale is a multiplier applied to optimumTime.
double optScale, maxScale; double opt_scale, max_scale;
// If we have to play in 'nodes as time' mode, then convert from time // If we have to play in 'nodes as time' mode, then convert from time
// to nodes, and use resulting values in time management formulas. // to nodes, and use resulting values in time management formulas.
@@ -68,9 +66,6 @@ void TimeManagement::init(Search::LimitsType& limits, Color us, int ply) {
TimePoint timeLeft = std::max(TimePoint(1), TimePoint timeLeft = std::max(TimePoint(1),
limits.time[us] + limits.inc[us] * (mtg - 1) - moveOverhead * (2 + mtg)); limits.time[us] + limits.inc[us] * (mtg - 1) - moveOverhead * (2 + mtg));
// Use extra time with larger increments
double optExtra = std::clamp(1.0 + 12.0 * limits.inc[us] / limits.time[us], 1.0, 1.12);
// A user may scale time usage by setting UCI option "Slow Mover" // A user may scale time usage by setting UCI option "Slow Mover"
// Default is 100 and changing this value will probably lose elo. // Default is 100 and changing this value will probably lose elo.
timeLeft = slowMover * timeLeft / 100; timeLeft = slowMover * timeLeft / 100;
@@ -80,26 +75,23 @@ void TimeManagement::init(Search::LimitsType& limits, Color us, int ply) {
// game time for the current move, so also cap to 20% of available game time. // game time for the current move, so also cap to 20% of available game time.
if (limits.movestogo == 0) if (limits.movestogo == 0)
{ {
optScale = std::min(0.0084 + std::pow(ply + 3.0, 0.5) * 0.0042, opt_scale = std::min(0.008 + std::pow(ply + 3.0, 0.5) / 250.0,
0.2 * limits.time[us] / double(timeLeft)) 0.2 * limits.time[us] / double(timeLeft));
* optExtra; max_scale = std::min(7.0, 4.0 + ply / 12.0);
maxScale = std::min(7.0, 4.0 + ply / 12.0);
} }
// x moves in y seconds (+ z increment) // x moves in y seconds (+ z increment)
else else
{ {
optScale = std::min((0.88 + ply / 116.4) / mtg, opt_scale = std::min((0.8 + ply / 128.0) / mtg,
0.88 * limits.time[us] / double(timeLeft)); 0.8 * limits.time[us] / double(timeLeft));
maxScale = std::min(6.3, 1.5 + 0.11 * mtg); max_scale = std::min(6.3, 1.5 + 0.11 * mtg);
} }
// Never use more than 80% of the available time for this move // Never use more than 80% of the available time for this move
optimumTime = TimePoint(optScale * timeLeft); optimumTime = TimePoint(opt_scale * timeLeft);
maximumTime = TimePoint(std::min(0.8 * limits.time[us] - moveOverhead, maxScale * optimumTime)); maximumTime = TimePoint(std::min(0.8 * limits.time[us] - moveOverhead, max_scale * optimumTime));
if (Options["Ponder"]) if (Options["Ponder"])
optimumTime += optimumTime / 4; optimumTime += optimumTime / 4;
} }
} // namespace Stockfish
+1 -5
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -23,8 +23,6 @@
#include "search.h" #include "search.h"
#include "thread.h" #include "thread.h"
namespace Stockfish {
/// The TimeManagement class computes the optimal time to think depending on /// The TimeManagement class computes the optimal time to think depending on
/// the maximum available time, the game move number and other parameters. /// the maximum available time, the game move number and other parameters.
@@ -46,6 +44,4 @@ private:
extern TimeManagement Time; extern TimeManagement Time;
} // namespace Stockfish
#endif // #ifndef TIMEMAN_H_INCLUDED #endif // #ifndef TIMEMAN_H_INCLUDED
+20 -27
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -26,8 +26,6 @@
#include "tt.h" #include "tt.h"
#include "uci.h" #include "uci.h"
namespace Stockfish {
TranspositionTable TT; // Our global transposition table TranspositionTable TT; // Our global transposition table
/// TTEntry::save() populates the TTEntry with a new node's data, possibly /// TTEntry::save() populates the TTEntry with a new node's data, possibly
@@ -39,19 +37,18 @@ void TTEntry::save(Key k, Value v, bool pv, Bound b, Depth d, Move m, Value ev)
if (m || (uint16_t)k != key16) if (m || (uint16_t)k != key16)
move16 = (uint16_t)m; move16 = (uint16_t)m;
// Overwrite less valuable entries (cheapest checks first) // Overwrite less valuable entries
if ( b == BOUND_EXACT if ((uint16_t)k != key16
|| (uint16_t)k != key16 || d - DEPTH_OFFSET > depth8 - 4
|| d - DEPTH_OFFSET + 2 * pv > depth8 - 4) || b == BOUND_EXACT)
{ {
assert(d > DEPTH_OFFSET); assert(d >= DEPTH_OFFSET);
assert(d < 256 + DEPTH_OFFSET);
key16 = (uint16_t)k; key16 = (uint16_t)k;
depth8 = (uint8_t)(d - DEPTH_OFFSET);
genBound8 = (uint8_t)(TT.generation8 | uint8_t(pv) << 2 | b);
value16 = (int16_t)v; value16 = (int16_t)v;
eval16 = (int16_t)ev; eval16 = (int16_t)ev;
genBound8 = (uint8_t)(TT.generation8 | uint8_t(pv) << 2 | b);
depth8 = (uint8_t)(d - DEPTH_OFFSET);
} }
} }
@@ -64,12 +61,11 @@ void TranspositionTable::resize(size_t mbSize) {
Threads.main()->wait_for_search_finished(); Threads.main()->wait_for_search_finished();
aligned_large_pages_free(table); aligned_ttmem_free(mem);
clusterCount = mbSize * 1024 * 1024 / sizeof(Cluster); clusterCount = mbSize * 1024 * 1024 / sizeof(Cluster);
table = static_cast<Cluster*>(aligned_ttmem_alloc(clusterCount * sizeof(Cluster), mem));
table = static_cast<Cluster*>(aligned_large_pages_alloc(clusterCount * sizeof(Cluster))); if (!mem)
if (!table)
{ {
std::cerr << "Failed to allocate " << mbSize std::cerr << "Failed to allocate " << mbSize
<< "MB for transposition table." << std::endl; << "MB for transposition table." << std::endl;
@@ -123,23 +119,22 @@ TTEntry* TranspositionTable::probe(const Key key, bool& found) const {
const uint16_t key16 = (uint16_t)key; // Use the low 16 bits as key inside the cluster const uint16_t key16 = (uint16_t)key; // Use the low 16 bits as key inside the cluster
for (int i = 0; i < ClusterSize; ++i) for (int i = 0; i < ClusterSize; ++i)
if (tte[i].key16 == key16 || !tte[i].depth8) if (!tte[i].key16 || tte[i].key16 == key16)
{ {
tte[i].genBound8 = uint8_t(generation8 | (tte[i].genBound8 & (GENERATION_DELTA - 1))); // Refresh 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 // Find an entry to be replaced according to the replacement strategy
TTEntry* replace = tte; TTEntry* replace = tte;
for (int i = 1; i < ClusterSize; ++i) for (int i = 1; i < ClusterSize; ++i)
// Due to our packed storage format for generation and its cyclic // Due to our packed storage format for generation and its cyclic
// nature we add GENERATION_CYCLE (256 is the modulus, plus what // nature we add 263 (256 is the modulus plus 7 to keep the unrelated
// is needed to keep the unrelated lowest n bits from affecting // lowest three bits from affecting the result) to calculate the entry
// the result) to calculate the entry age correctly even after // age correctly even after generation8 overflows into the next cycle.
// generation8 overflows into the next cycle. if ( replace->depth8 - ((263 + generation8 - replace->genBound8) & 0xF8)
if ( replace->depth8 - ((GENERATION_CYCLE + generation8 - replace->genBound8) & GENERATION_MASK) > tte[i].depth8 - ((263 + generation8 - tte[i].genBound8) & 0xF8))
> tte[i].depth8 - ((GENERATION_CYCLE + generation8 - tte[i].genBound8) & GENERATION_MASK))
replace = &tte[i]; replace = &tte[i];
return found = false, replace; return found = false, replace;
@@ -154,9 +149,7 @@ int TranspositionTable::hashfull() const {
int cnt = 0; int cnt = 0;
for (int i = 0; i < 1000; ++i) for (int i = 0; i < 1000; ++i)
for (int j = 0; j < ClusterSize; ++j) for (int j = 0; j < ClusterSize; ++j)
cnt += table[i].entry[j].depth8 && (table[i].entry[j].genBound8 & GENERATION_MASK) == generation8; cnt += (table[i].entry[j].genBound8 & 0xF8) == generation8;
return cnt / ClusterSize; return cnt / ClusterSize;
} }
} // namespace Stockfish
+10 -19
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -22,18 +22,16 @@
#include "misc.h" #include "misc.h"
#include "types.h" #include "types.h"
namespace Stockfish {
/// TTEntry struct is the 10 bytes transposition table entry, defined as below: /// TTEntry struct is the 10 bytes transposition table entry, defined as below:
/// ///
/// key 16 bit /// key 16 bit
/// depth 8 bit
/// generation 5 bit
/// pv node 1 bit
/// bound type 2 bit
/// move 16 bit /// move 16 bit
/// value 16 bit /// value 16 bit
/// eval value 16 bit /// eval value 16 bit
/// generation 5 bit
/// pv node 1 bit
/// bound type 2 bit
/// depth 8 bit
struct TTEntry { struct TTEntry {
@@ -49,11 +47,11 @@ private:
friend class TranspositionTable; friend class TranspositionTable;
uint16_t key16; uint16_t key16;
uint8_t depth8;
uint8_t genBound8;
uint16_t move16; uint16_t move16;
int16_t value16; int16_t value16;
int16_t eval16; int16_t eval16;
uint8_t genBound8;
uint8_t depth8;
}; };
@@ -74,15 +72,9 @@ class TranspositionTable {
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: public:
~TranspositionTable() { aligned_large_pages_free(table); } ~TranspositionTable() { aligned_ttmem_free(mem); }
void new_search() { generation8 += GENERATION_DELTA; } // Lower bits are used for other things void new_search() { generation8 += 8; } // Lower 3 bits are used by PV flag and Bound
TTEntry* probe(const Key key, bool& found) const; TTEntry* probe(const Key key, bool& found) const;
int hashfull() const; int hashfull() const;
void resize(size_t mbSize); void resize(size_t mbSize);
@@ -97,11 +89,10 @@ private:
size_t clusterCount; size_t clusterCount;
Cluster* table; Cluster* table;
void* mem;
uint8_t generation8; // Size must be not bigger than TTEntry::genBound8 uint8_t generation8; // Size must be not bigger than TTEntry::genBound8
}; };
extern TranspositionTable TT; extern TranspositionTable TT;
} // namespace Stockfish
#endif // #ifndef TT_H_INCLUDED #endif // #ifndef TT_H_INCLUDED
+19 -8
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -26,10 +26,9 @@
using std::string; using std::string;
namespace Stockfish {
bool Tune::update_on_last; bool Tune::update_on_last;
const UCI::Option* LastOption = nullptr; const UCI::Option* LastOption = nullptr;
BoolConditions Conditions;
static std::map<std::string, int> TuneResults; static std::map<std::string, int> TuneResults;
string Tune::next(string& names, bool pop) { string Tune::next(string& names, bool pop) {
@@ -109,7 +108,23 @@ template<> void Tune::Entry<Score>::read_option() {
template<> void Tune::Entry<Tune::PostUpdate>::init_option() {} template<> void Tune::Entry<Tune::PostUpdate>::init_option() {}
template<> void Tune::Entry<Tune::PostUpdate>::read_option() { value(); } 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 // Init options with tuning session results instead of default values. Useful to
@@ -123,11 +138,7 @@ template<> void Tune::Entry<Tune::PostUpdate>::read_option() { value(); }
#include <cmath> #include <cmath>
namespace Stockfish {
void Tune::read_results() { void Tune::read_results() {
/* ...insert your values here... */ /* ...insert your values here... */
} }
} // namespace Stockfish
+38 -8
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -24,8 +24,6 @@
#include <type_traits> #include <type_traits>
#include <vector> #include <vector>
namespace Stockfish {
typedef std::pair<int, int> Range; // Option's min-max values typedef std::pair<int, int> Range; // Option's min-max values
typedef Range (RangeFun) (int); typedef Range (RangeFun) (int);
@@ -46,6 +44,27 @@ struct SetRange {
#define SetDefaultRange SetRange(default_range) #define SetDefaultRange SetRange(default_range)
/// BoolConditions struct is used to tune boolean conditions in the
/// code by toggling them on/off according to a probability that
/// depends on the value of a tuned integer parameter: for high
/// values of the parameter condition is always disabled, for low
/// values is always enabled, otherwise it is enabled with a given
/// probability that depnends on the parameter under tuning.
struct BoolConditions {
void init(size_t size) { values.resize(size, defaultValue), binary.resize(size, 0); }
void set();
std::vector<int> binary, values;
int defaultValue = 465, variance = 40, threshold = 500;
SetRange range = SetRange(0, 1000);
};
extern BoolConditions Conditions;
inline void set_conditions() { Conditions.set(); }
/// Tune class implements the 'magic' code that makes the setup of a fishtest /// 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 /// 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 /// qualifiers from the variables you want to tune and flag them for tuning, so
@@ -84,7 +103,7 @@ class Tune {
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 // Use polymorphism to accomodate Entry of different types in the same vector
struct EntryBase { struct EntryBase {
virtual ~EntryBase() = default; virtual ~EntryBase() = default;
virtual void init_option() = 0; virtual void init_option() = 0;
@@ -111,9 +130,9 @@ class Tune {
SetRange range; SetRange range;
}; };
// Our facility to fill the container, each Entry corresponds to a parameter // Our facilty to fill the container, each Entry corresponds to a parameter to tune.
// to tune. We use variadic templates to deal with an unspecified number of // We use variadic templates to deal with an unspecified number of entries, each one
// entries, each one of a possible different type. // of a possible different type.
static std::string next(std::string& names, bool pop = true); 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; }
@@ -138,6 +157,14 @@ class Tune {
return add(value, (next(names), std::move(names)), args...); return add(value, (next(names), std::move(names)), args...);
} }
// Template specialization for BoolConditions
template<typename... Args>
int add(const SetRange& range, std::string&& names, BoolConditions& cond, Args&&... args) {
for (size_t size = cond.values.size(), i = 0; i < size; i++)
add(cond.range, next(names, i == size - 1) + "_" + std::to_string(i), cond.values[i]);
return add(range, std::move(names), args...);
}
std::vector<std::unique_ptr<EntryBase>> list; std::vector<std::unique_ptr<EntryBase>> list;
public: public:
@@ -158,6 +185,9 @@ public:
#define UPDATE_ON_LAST() bool UNIQUE(p, __LINE__) = Tune::update_on_last = true #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
+120 -26
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -57,12 +57,6 @@
/// _WIN32 Building on Windows (any) /// _WIN32 Building on Windows (any)
/// _WIN64 Building on Windows 64 bit /// _WIN64 Building on Windows 64 bit
#if defined(__GNUC__ ) && (__GNUC__ < 9 || (__GNUC__ == 9 && __GNUC_MINOR__ <= 2)) && defined(_WIN32) && !defined(__clang__)
#define ALIGNAS_ON_STACK_VARIABLES_BROKEN
#endif
#define ASSERT_ALIGNED(ptr, alignment) assert(reinterpret_cast<uintptr_t>(ptr) % alignment == 0)
#if defined(_WIN64) && defined(_MSC_VER) // No Makefile used #if defined(_WIN64) && defined(_MSC_VER) // No Makefile used
# include <intrin.h> // Microsoft header for _BitScanForward64() # include <intrin.h> // Microsoft header for _BitScanForward64()
# define IS_64BIT # define IS_64BIT
@@ -83,8 +77,6 @@
# define pext(b, m) 0 # define pext(b, m) 0
#endif #endif
namespace Stockfish {
#ifdef USE_POPCNT #ifdef USE_POPCNT
constexpr bool HasPopCnt = true; constexpr bool HasPopCnt = true;
#else #else
@@ -115,7 +107,7 @@ constexpr int MAX_PLY = 246;
/// bit 6-11: origin 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 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) /// bit 14-15: special move flag: promotion (1), en passant (2), castling (3)
/// NOTE: en passant bit is set only when a pawn can be captured /// NOTE: EN-PASSANT bit is set only when a pawn can be captured
/// ///
/// Special cases are MOVE_NONE and MOVE_NULL. We can sneak these in because in /// 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 /// any normal move destination square is always different from origin square
@@ -129,7 +121,7 @@ enum Move : int {
enum MoveType { enum MoveType {
NORMAL, NORMAL,
PROMOTION = 1 << 14, PROMOTION = 1 << 14,
EN_PASSANT = 2 << 14, ENPASSANT = 2 << 14,
CASTLING = 3 << 14 CASTLING = 3 << 14
}; };
@@ -186,11 +178,12 @@ enum Value : int {
VALUE_MATE_IN_MAX_PLY = VALUE_MATE - MAX_PLY, VALUE_MATE_IN_MAX_PLY = VALUE_MATE - MAX_PLY,
VALUE_MATED_IN_MAX_PLY = -VALUE_MATE_IN_MAX_PLY, VALUE_MATED_IN_MAX_PLY = -VALUE_MATE_IN_MAX_PLY,
PawnValueMg = 126, PawnValueEg = 208, PawnValueMg = 124, PawnValueEg = 206,
KnightValueMg = 781, KnightValueEg = 854, KnightValueMg = 781, KnightValueEg = 854,
BishopValueMg = 825, BishopValueEg = 915, BishopValueMg = 825, BishopValueEg = 915,
RookValueMg = 1276, RookValueEg = 1380, RookValueMg = 1276, RookValueEg = 1380,
QueenValueMg = 2538, QueenValueEg = 2682, QueenValueMg = 2538, QueenValueEg = 2682,
Tempo = 28,
MidgameLimit = 15258, EndgameLimit = 3915 MidgameLimit = 15258, EndgameLimit = 3915
}; };
@@ -203,11 +196,27 @@ enum PieceType {
enum Piece { enum Piece {
NO_PIECE, NO_PIECE,
W_PAWN = PAWN, W_KNIGHT, W_BISHOP, W_ROOK, W_QUEEN, W_KING, W_PAWN = 1, W_KNIGHT, W_BISHOP, W_ROOK, W_QUEEN, W_KING,
B_PAWN = PAWN + 8, B_KNIGHT, B_BISHOP, B_ROOK, B_QUEEN, B_KING, B_PAWN = 9, B_KNIGHT, B_BISHOP, B_ROOK, B_QUEEN, B_KING,
PIECE_NB = 16 PIECE_NB = 16
}; };
// 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
};
inline PieceId operator++(PieceId& d, int) {
PieceId x = d;
d = PieceId(int(d) + 1);
return x;
}
constexpr Value PieceValue[PHASE_NB][PIECE_NB] = { 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, PawnValueMg, KnightValueMg, BishopValueMg, RookValueMg, QueenValueMg, VALUE_ZERO, VALUE_ZERO }, VALUE_ZERO, PawnValueMg, KnightValueMg, BishopValueMg, RookValueMg, QueenValueMg, VALUE_ZERO, VALUE_ZERO },
@@ -223,8 +232,7 @@ enum : int {
DEPTH_QS_RECAPTURES = -5, DEPTH_QS_RECAPTURES = -5,
DEPTH_NONE = -6, DEPTH_NONE = -6,
DEPTH_OFFSET = DEPTH_NONE
DEPTH_OFFSET = -7 // value used only for TT entry occupancy check
}; };
enum Square : int { enum Square : int {
@@ -262,20 +270,93 @@ 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 { struct DirtyPiece {
// Number of changed pieces // Number of changed pieces
int dirty_num; int dirty_num;
// Max 3 pieces can change in one move. A promotion with capture moves // The ids of changed pieces, max. 2 pieces can change in one move
// both the pawn and the captured piece to SQ_NONE and the piece promoted PieceId pieceId[2];
// to from SQ_NONE to the capture square.
Piece piece[3];
// From and to squares, which may be SQ_NONE // What changed from the piece with that piece number
Square from[3]; ExtPieceSquare old_piece[2];
Square to[3]; ExtPieceSquare new_piece[2];
}; };
/// Score enum stores a middlegame and an endgame value in a single integer (enum). /// Score enum stores a middlegame and an endgame value in a single integer (enum).
@@ -325,6 +406,8 @@ ENABLE_FULL_OPERATORS_ON(Value)
ENABLE_FULL_OPERATORS_ON(Direction) ENABLE_FULL_OPERATORS_ON(Direction)
ENABLE_INCR_OPERATORS_ON(Piece) ENABLE_INCR_OPERATORS_ON(Piece)
ENABLE_INCR_OPERATORS_ON(PieceSquare)
ENABLE_INCR_OPERATORS_ON(PieceId)
ENABLE_INCR_OPERATORS_ON(PieceType) ENABLE_INCR_OPERATORS_ON(PieceType)
ENABLE_INCR_OPERATORS_ON(Square) ENABLE_INCR_OPERATORS_ON(Square)
ENABLE_INCR_OPERATORS_ON(File) ENABLE_INCR_OPERATORS_ON(File)
@@ -413,6 +496,10 @@ inline Color color_of(Piece pc) {
return Color(pc >> 3); return Color(pc >> 3);
} }
constexpr bool is_ok(PieceId pid) {
return pid < PIECE_ID_NONE;
}
constexpr bool is_ok(Square s) { constexpr bool is_ok(Square s) {
return s >= SQ_A1 && s <= SQ_H8; return s >= SQ_A1 && s <= SQ_H8;
} }
@@ -449,6 +536,11 @@ constexpr Square to_sq(Move m) {
return Square(m & 0x3F); 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) { constexpr int from_to(Move m) {
return m & 0xFFF; return m & 0xFFF;
} }
@@ -465,6 +557,10 @@ constexpr Move make_move(Square from, Square to) {
return Move((from << 6) + to); return Move((from << 6) + to);
} }
constexpr Move reverse_move(Move m) {
return make_move(to_sq(m), from_sq(m));
}
template<MoveType T> template<MoveType T>
constexpr Move make(Square from, Square to, PieceType pt = KNIGHT) { constexpr Move make(Square from, Square to, PieceType pt = KNIGHT) {
return Move(T + ((pt - KNIGHT) << 12) + (from << 6) + to); return Move(T + ((pt - KNIGHT) << 12) + (from << 6) + to);
@@ -479,8 +575,6 @@ constexpr Key make_key(uint64_t seed) {
return seed * 6364136223846793005ULL + 1442695040888963407ULL; return seed * 6364136223846793005ULL + 1442695040888963407ULL;
} }
} // namespace Stockfish
#endif // #ifndef TYPES_H_INCLUDED #endif // #ifndef TYPES_H_INCLUDED
#include "tune.h" // Global visibility to tuning setup #include "tune.h" // Global visibility to tuning setup
+7 -19
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -34,8 +34,6 @@
using namespace std; using namespace std;
namespace Stockfish {
extern vector<string> setup_bench(const Position&, istream&); extern vector<string> setup_bench(const Position&, istream&);
namespace { namespace {
@@ -87,7 +85,7 @@ namespace {
Position p; Position p;
p.set(pos.fen(), Options["UCI_Chess960"], &states->back(), Threads.main()); p.set(pos.fen(), Options["UCI_Chess960"], &states->back(), Threads.main());
Eval::NNUE::verify(); Eval::verify_NNUE();
sync_cout << "\n" << Eval::trace(p) << sync_endl; sync_cout << "\n" << Eval::trace(p) << sync_endl;
} }
@@ -172,7 +170,7 @@ namespace {
if (token == "go" || token == "eval") if (token == "go" || token == "eval")
{ {
cerr << "\nPosition: " << cnt++ << '/' << num << " (" << pos.fen() << ")" << endl; cerr << "\nPosition: " << cnt++ << '/' << num << endl;
if (token == "go") if (token == "go")
{ {
go(pos, is, states); go(pos, is, states);
@@ -207,13 +205,13 @@ namespace {
// Coefficients of a 3rd order polynomial fit based on fishtest data // Coefficients of a 3rd order polynomial fit based on fishtest data
// for two parameters needed to transform eval to the argument of a // for two parameters needed to transform eval to the argument of a
// logistic function. // logistic function.
double as[] = {-1.17202460e-01, 5.94729104e-01, 1.12065546e+01, 1.22606222e+02}; double as[] = {-8.24404295, 64.23892342, -95.73056462, 153.86478679};
double bs[] = {-1.79066759, 11.30759193, -17.43677612, 36.47147479}; double bs[] = {-3.37154371, 28.44489198, -56.67657741, 72.05858751};
double a = (((as[0] * m + as[1]) * m + as[2]) * m) + as[3]; double a = (((as[0] * m + as[1]) * m + as[2]) * m) + as[3];
double b = (((bs[0] * m + bs[1]) * m + bs[2]) * m) + bs[3]; double b = (((bs[0] * m + bs[1]) * m + bs[2]) * m) + bs[3];
// Transform eval to centipawns with limited range // Transform eval to centipawns with limited range
double x = std::clamp(double(100 * v) / PawnValueEg, -2000.0, 2000.0); double x = Utility::clamp(double(100 * v) / PawnValueEg, -1000.0, 1000.0);
// Return win rate in per mille (rounded to nearest) // Return win rate in per mille (rounded to nearest)
return int(0.5 + 1000 / (1 + std::exp((a - x) / b))); return int(0.5 + 1000 / (1 + std::exp((a - x) / b)));
@@ -277,15 +275,7 @@ void UCI::loop(int argc, char* argv[]) {
else if (token == "d") sync_cout << pos << sync_endl; else if (token == "d") sync_cout << pos << sync_endl;
else if (token == "eval") trace_eval(pos); else if (token == "eval") trace_eval(pos);
else if (token == "compiler") sync_cout << compiler_info() << sync_endl; else if (token == "compiler") sync_cout << compiler_info() << sync_endl;
else if (token == "export_net") else
{
std::optional<std::string> filename;
std::string f;
if (is >> skipws >> f)
filename = f;
Eval::NNUE::save_eval(filename);
}
else if (!token.empty() && token[0] != '#')
sync_cout << "Unknown command: " << cmd << sync_endl; sync_cout << "Unknown command: " << cmd << sync_endl;
} while (token != "quit" && argc == 1); // Command line args are one-shot } while (token != "quit" && argc == 1); // Command line args are one-shot
@@ -379,5 +369,3 @@ Move UCI::to_move(const Position& pos, string& str) {
return MOVE_NONE; return MOVE_NONE;
} }
} // namespace Stockfish
+1 -5
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -24,8 +24,6 @@
#include "types.h" #include "types.h"
namespace Stockfish {
class Position; class Position;
namespace UCI { namespace UCI {
@@ -80,6 +78,4 @@ Move to_move(const Position& pos, std::string& str);
extern UCI::OptionsMap Options; extern UCI::OptionsMap Options;
} // namespace Stockfish
#endif // #ifndef UCI_H_INCLUDED #endif // #ifndef UCI_H_INCLUDED
+8 -11
View File
@@ -1,6 +1,6 @@
/* /*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1 Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2022 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 Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by it under the terms of the GNU General Public License as published by
@@ -21,7 +21,6 @@
#include <ostream> #include <ostream>
#include <sstream> #include <sstream>
#include "evaluate.h"
#include "misc.h" #include "misc.h"
#include "search.h" #include "search.h"
#include "thread.h" #include "thread.h"
@@ -31,8 +30,6 @@
using std::string; using std::string;
namespace Stockfish {
UCI::OptionsMap Options; // Global object UCI::OptionsMap Options; // Global object
namespace UCI { namespace UCI {
@@ -43,8 +40,8 @@ void on_hash_size(const Option& o) { TT.resize(size_t(o)); }
void on_logger(const Option& o) { start_logger(o); } void on_logger(const Option& o) { start_logger(o); }
void on_threads(const Option& o) { Threads.set(size_t(o)); } void on_threads(const Option& o) { Threads.set(size_t(o)); }
void on_tb_path(const Option& o) { Tablebases::init(o); } void on_tb_path(const Option& o) { Tablebases::init(o); }
void on_use_NNUE(const Option& ) { Eval::NNUE::init(); } void on_use_NNUE(const Option& ) { Eval::init_NNUE(); }
void on_eval_file(const Option& ) { Eval::NNUE::init(); } void on_eval_file(const Option& ) { Eval::init_NNUE(); }
/// Our case insensitive less() function as required by UCI protocol /// Our case insensitive less() function as required by UCI protocol
bool CaseInsensitiveLess::operator() (const string& s1, const string& s2) const { bool CaseInsensitiveLess::operator() (const string& s1, const string& s2) const {
@@ -61,6 +58,8 @@ void init(OptionsMap& o) {
constexpr int MaxHashMB = Is64Bit ? 33554432 : 2048; constexpr int MaxHashMB = Is64Bit ? 33554432 : 2048;
o["Debug Log File"] << Option("", on_logger); 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["Threads"] << Option(1, 1, 512, on_threads);
o["Hash"] << Option(16, 1, MaxHashMB, on_hash_size); o["Hash"] << Option(16, 1, MaxHashMB, on_hash_size);
o["Clear Hash"] << Option(on_clear_hash); o["Clear Hash"] << Option(on_clear_hash);
@@ -79,8 +78,8 @@ void init(OptionsMap& o) {
o["SyzygyProbeDepth"] << Option(1, 1, 100); o["SyzygyProbeDepth"] << Option(1, 1, 100);
o["Syzygy50MoveRule"] << Option(true); o["Syzygy50MoveRule"] << Option(true);
o["SyzygyProbeLimit"] << Option(7, 0, 7); o["SyzygyProbeLimit"] << Option(7, 0, 7);
o["Use NNUE"] << Option(true, on_use_NNUE); o["Use NNUE"] << Option(false, on_use_NNUE);
o["EvalFile"] << Option(EvalFileDefaultName, on_eval_file); o["EvalFile"] << Option("nn-97f742aaefcd.nnue", on_eval_file);
} }
@@ -164,7 +163,7 @@ Option& Option::operator=(const string& v) {
assert(!type.empty()); assert(!type.empty());
if ( (type != "button" && type != "string" && v.empty()) if ( (type != "button" && v.empty())
|| (type == "check" && v != "true" && v != "false") || (type == "check" && v != "true" && v != "false")
|| (type == "spin" && (stof(v) < min || stof(v) > max))) || (type == "spin" && (stof(v) < min || stof(v) > max)))
return *this; return *this;
@@ -190,5 +189,3 @@ Option& Option::operator=(const string& v) {
} }
} // namespace UCI } // namespace UCI
} // namespace Stockfish
+15 -15
View File
@@ -13,14 +13,14 @@ case $1 in
--valgrind) --valgrind)
echo "valgrind testing started" echo "valgrind testing started"
prefix='' prefix=''
exeprefix='valgrind --error-exitcode=42 --errors-for-leak-kinds=all --leak-check=full' exeprefix='valgrind --error-exitcode=42'
postfix='1>/dev/null' postfix='1>/dev/null'
threads="1" threads="1"
;; ;;
--valgrind-thread) --valgrind-thread)
echo "valgrind-thread testing started" echo "valgrind-thread testing started"
prefix='' prefix=''
exeprefix='valgrind --fair-sched=try --error-exitcode=42' exeprefix='valgrind --error-exitcode=42'
postfix='1>/dev/null' postfix='1>/dev/null'
threads="2" threads="2"
;; ;;
@@ -39,16 +39,16 @@ case $1 in
threads="2" threads="2"
cat << EOF > tsan.supp cat << EOF > tsan.supp
race:Stockfish::TTEntry::move race:TTEntry::move
race:Stockfish::TTEntry::depth race:TTEntry::depth
race:Stockfish::TTEntry::bound race:TTEntry::bound
race:Stockfish::TTEntry::save race:TTEntry::save
race:Stockfish::TTEntry::value race:TTEntry::value
race:Stockfish::TTEntry::eval race:TTEntry::eval
race:Stockfish::TTEntry::is_pv race:TTEntry::is_pv
race:Stockfish::TranspositionTable::probe race:TranspositionTable::probe
race:Stockfish::TranspositionTable::hashfull race:TranspositionTable::hashfull
EOF EOF
@@ -70,7 +70,7 @@ for args in "eval" \
"go depth 10" \ "go depth 10" \
"go movetime 1000" \ "go movetime 1000" \
"go wtime 8000 btime 8000 winc 500 binc 500" \ "go wtime 8000 btime 8000 winc 500 binc 500" \
"bench 128 $threads 8 default depth" "bench 128 $threads 10 default depth"
do do
echo "$prefix $exeprefix ./stockfish $args $postfix" echo "$prefix $exeprefix ./stockfish $args $postfix"
@@ -80,7 +80,7 @@ done
# more general testing, following an uci protocol exchange # more general testing, following an uci protocol exchange
cat << EOF > game.exp cat << EOF > game.exp
set timeout 240 set timeout 10
spawn $exeprefix ./stockfish spawn $exeprefix ./stockfish
send "uci\n" send "uci\n"
@@ -98,7 +98,7 @@ cat << EOF > game.exp
expect "bestmove" expect "bestmove"
send "position fen 5rk1/1K4p1/8/8/3B4/8/8/8 b - - 0 1\n" 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" expect "bestmove"
send "quit\n" send "quit\n"
@@ -121,7 +121,7 @@ cat << EOF > syzygy.exp
send "uci\n" send "uci\n"
send "setoption name SyzygyPath value ../tests/syzygy/\n" send "setoption name SyzygyPath value ../tests/syzygy/\n"
expect "info string Found 35 tablebases" {} timeout {exit 1} expect "info string Found 35 tablebases" {} timeout {exit 1}
send "bench 128 1 8 default depth\n" send "bench 128 1 10 default depth\n"
send "quit\n" send "quit\n"
expect eof expect eof
+1 -1
View File
@@ -43,7 +43,7 @@ cat << EOF > repeat.exp
expect eof expect eof
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 # the allowed number of nodes are varied systematically
for i in `seq 1 20` for i in `seq 1 20`
do do