Merge branch 'upstream/master' (4c7de9e8ab) into tools

This commit is contained in:
Tomasz Sobczyk
2022-05-30 12:07:07 +02:00
60 changed files with 2394 additions and 1784 deletions
+75 -19
View File
@@ -5,6 +5,7 @@ on:
- master
- tools
- github_ci
- github_ci_armv7
pull_request:
branches:
- master
@@ -19,6 +20,12 @@ jobs:
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,
@@ -34,18 +41,31 @@ jobs:
os: ubuntu-20.04,
compiler: clang++,
comp: clang,
run_expensive_tests: false,
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_expensive_tests: false,
run_32bit_tests: false,
run_64bit_tests: true,
shell: 'bash {0}'
}
@@ -54,33 +74,37 @@ jobs:
os: macos-10.15,
compiler: g++-10,
comp: gcc,
run_expensive_tests: false,
run_32bit_tests: false,
run_64bit_tests: true,
shell: 'bash {0}'
}
- {
name: "Windows 2019 Mingw-w64 GCC x86_64",
os: windows-2019,
name: "Windows 2022 Mingw-w64 GCC x86_64",
os: windows-2022,
compiler: g++,
comp: gcc,
run_expensive_tests: false,
run_32bit_tests: false,
comp: mingw,
run_64bit_tests: true,
msys_sys: 'mingw64',
msys_env: 'x86_64',
msys_env: 'x86_64-gcc',
shell: 'msys2 {0}'
}
- {
name: "Windows 2019 Mingw-w64 GCC i686",
os: windows-2019,
name: "Windows 2022 Mingw-w64 GCC i686",
os: windows-2022,
compiler: g++,
comp: gcc,
run_expensive_tests: false,
comp: mingw,
run_32bit_tests: true,
run_64bit_tests: false,
msys_sys: 'mingw32',
msys_env: 'i686',
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}'
}
@@ -97,14 +121,14 @@ jobs:
if: runner.os == 'Linux'
run: |
sudo apt update
sudo apt install expect valgrind g++-multilib
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}}-gcc make git expect
install: mingw-w64-${{matrix.config.msys_env}} make git expect
- name: Download the used network from the fishtest framework
run: |
@@ -117,6 +141,7 @@ jobs:
- name: Check compiler
run: |
export PATH=$PATH:$ANDROID_NDK_HOME/toolchains/llvm/prebuilt/linux-x86_64/bin
$COMPILER -v
- name: Test help target
@@ -238,6 +263,37 @@ jobs:
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
+12 -1
View File
@@ -1,4 +1,4 @@
# List of authors for Stockfish, as of June 14, 2021
# List of authors for Stockfish
# Founders of the Stockfish project and fishtest infrastructure
Tord Romstad (romstad)
@@ -21,6 +21,7 @@ Alexander Kure
Alexander Pagel (Lolligerhans)
Alfredo Menezes (lonfom169)
Ali AlZhrani (Cooffe)
Andrei Vetrov (proukornew)
Andrew Grant (AndyGrant)
Andrey Neporada (nepal)
Andy Duplain
@@ -30,6 +31,7 @@ Arjun Temurnikar
Artem Solopiy (EntityFX)
Auguste Pop
Balint Pfliegel
Ben Chaney (Chaneybenjamini)
Ben Koshy (BKSpurgeon)
Bill Henry (VoyagerOne)
Bojun Guo (noobpwnftw, Nooby)
@@ -53,6 +55,7 @@ DiscanX
Dominik Schlösser (domschl)
double-beep
Douglas Matos Gomes (dsmsgms)
Dubslow
Eduardo Cáceres (eduherminio)
Eelco de Groot (KingDefender)
Elvin Liu (solarlight2)
@@ -102,6 +105,7 @@ jundery
Justin Blanchard (UncombedCoconut)
Kelly Wilson
Ken Takusagawa
Kian E (KJE-98)
kinderchocolate
Kiran Panditrao (Krgp)
Kojirion
@@ -122,6 +126,7 @@ marotear
Matt Ginsberg (mattginsberg)
Matthew Lai (matthewlai)
Matthew Sullivan (Matt14916)
Max A. (Disservin)
Maxim Molchanov (Maxim)
Michael An (man)
Michael Byrne (MichaelB7)
@@ -131,6 +136,7 @@ Michael Whiteley (protonspring)
Michel Van den Bergh (vdbergh)
Miguel Lahoz (miguel-l)
Mikael Bäckman (mbootsector)
Mike Babigian (Farseer)
Mira
Miroslav Fontán (Hexik)
Moez Jellouli (MJZ1977)
@@ -143,6 +149,7 @@ Nikolay Kostov (NikolayIT)
Nguyen Pham (nguyenpham)
Norman Schmidt (FireFather)
notruck
Ofek Shochat (OfekShochat, ghostway)
Ondrej Mosnáček (WOnder93)
Oskar Werkelin Ahlin
Pablo Vazquez
@@ -151,6 +158,7 @@ Pascal Romaret
Pasquale Pigazzini (ppigazzini)
Patrick Jansen (mibere)
pellanda
Peter Schneider (pschneider1968)
Peter Zsifkovits (CoffeeOne)
Praveen Kumar Tummala (praveentml)
Rahul Dsilva (silversolver1)
@@ -163,6 +171,7 @@ Rodrigo Exterckötter Tjäder
Ron Britvich (Britvich)
Ronald de Man (syzygy1, syzygy)
rqs
Rui Coelho (ruicoelhopedro)
Ryan Schmitt
Ryan Takker
Sami Kiminki (skiminki)
@@ -186,11 +195,13 @@ Tom Truscott
Tom Vijlbrief (tomtor)
Tomasz Sobczyk (Sopel97)
Torsten Franz (torfranz, tfranzer)
Torsten Hellwig (Torom)
Tracey Emery (basepr1me)
tttak
Unai Corzo (unaiic)
Uri Blass (uriblass)
Vince Negri (cuddlestmonkey)
xefoci7612
zz4032
+42 -33
View File
@@ -1,7 +1,6 @@
## 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://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
derived from Glaurung 2.1. Stockfish is not a complete chess program and requires a
@@ -10,24 +9,28 @@ Cute Chess, eboard, Arena, Sigma Chess, Shredder, Chess Partner or Fritz) in ord
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 classical
evaluation based on handcrafted terms, and the NNUE evaluation based on efficiently
updatable neural networks. The classical evaluation runs efficiently on almost all
CPU architectures, while the NNUE evaluation benefits from the vector
intrinsics available on most CPUs (sse2, avx2, neon, or similar).
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
This distribution of Stockfish consists of the following files:
* [Readme.md](https://github.com/official-stockfish/Stockfish/blob/master/README.md), the file you are currently reading.
* [README.md](https://github.com/official-stockfish/Stockfish/blob/master/README.md),
the file you are currently reading.
* [Copying.txt](https://github.com/official-stockfish/Stockfish/blob/master/Copying.txt), a text file containing the GNU General Public License version 3.
* [Copying.txt](https://github.com/official-stockfish/Stockfish/blob/master/Copying.txt),
a text file containing the GNU General Public License version 3.
* [AUTHORS](https://github.com/official-stockfish/Stockfish/blob/master/AUTHORS), a text file with the list of authors for the project
* [AUTHORS](https://github.com/official-stockfish/Stockfish/blob/master/AUTHORS),
a text file with the list of authors for the project
* [src](https://github.com/official-stockfish/Stockfish/tree/master/src), a subdirectory containing the full source code, including a Makefile
* [src](https://github.com/official-stockfish/Stockfish/tree/master/src),
a subdirectory containing the full source code, including a Makefile
that can be used to compile Stockfish on Unix-like systems.
* a file with the .nnue extension, storing the neural network for the NNUE
@@ -37,7 +40,7 @@ This distribution of Stockfish consists of the following files:
The Universal Chess Interface (UCI) is a standard protocol used to communicate with
a chess engine, and is the recommended way to do so for typical graphical user interfaces
(GUI) or chess tools. Stockfish implements the majority of it options as described
(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
@@ -68,9 +71,9 @@ change them via a chess GUI. This is a list of available UCI options in Stockfis
* #### EvalFile
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 the file.
Other locations, such as the directory that contains the binary and the working directory,
are also searched.
filename might have to include the full path to the folder/directory that contains
the file. Other locations, such as the directory that contains the binary and the
working directory, are also searched.
* #### UCI_AnalyseMode
An option handled by your GUI.
@@ -103,7 +106,7 @@ 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`
It is recommended to store .rtbw files on an SSD. There is no loss in storing
the .rtbz files on a regular HD. It is recommended to verify all md5 checksums
the .rtbz files on a regular HDD. It is recommended to verify all md5 checksums
of the downloaded tablebase files (`md5sum -c checksum.md5`) as corruption will
lead to engine crashes.
@@ -138,8 +141,9 @@ change them via a chess GUI. This is a list of available UCI options in Stockfis
For developers the following non-standard commands might be of interest, mainly useful for debugging:
* #### bench *ttSize threads limit fenFile limitType evalType*
Performs a standard benchmark using various options. The signature of a version (standard node
count) is obtained using all defaults. `bench` is currently `bench 16 1 13 default depth mixed`.
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.
@@ -210,22 +214,27 @@ on the evaluations of millions of positions at moderate search depth.
The NNUE evaluation was first introduced in shogi, and ported to Stockfish afterward.
It can be evaluated efficiently on CPUs, and exploits the fact that only parts
of the neural network need to be updated after a typical chess move.
[The nodchip repository](https://github.com/nodchip/Stockfish) provides additional
tools to train and develop the NNUE networks. On CPUs supporting modern vector instructions
(avx2 and similar), the NNUE evaluation results in much stronger playing strength, even
if the nodes per second computed by the engine is somewhat lower (roughly 80% of nps
is typical).
[The nodchip repository](https://github.com/nodchip/Stockfish) provided the first
version of the needed tools to train and develop the NNUE networks. Today, more
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
results in much stronger playing strength, even if the nodes per second computed by
the engine is somewhat lower (roughly 80% of nps is typical).
Notes:
1) the NNUE evaluation depends on the Stockfish binary and the network parameter
file (see the EvalFile UCI option). Not every parameter file is compatible with a given
Stockfish binary, but the default value of the EvalFile UCI option is the name of a network
that is guaranteed to be compatible with that binary.
1) the NNUE evaluation depends on the Stockfish binary and the network parameter file
(see the EvalFile UCI option). Not every parameter file is compatible with a given
Stockfish binary, but the default value of the EvalFile UCI option is the name of a
network that is guaranteed to be compatible with that binary.
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
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
```
@@ -353,10 +362,10 @@ it (either by itself or as part of some bigger software package), or
using it as the starting point for a software project of your own.
The only real limitation is that whenever you distribute Stockfish in
some way, you MUST always include the full source code, or a pointer
to where the source code can be found, to generate the exact binary
you are distributing. If you make any changes to the source code,
these changes must also be made available under the GPL.
some way, you MUST always include the license and the full source code
(or a pointer to where the source code can be found) to generate the
exact binary you are distributing. If you make any changes to the
source code, these changes must also be made available under the GPL v3.
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).
+233 -203
View File
@@ -1,205 +1,235 @@
Contributors to Fishtest with >10,000 CPU hours, as of Jun 29, 2021.
Contributors to Fishtest with >10,000 CPU hours, as of 2022-04-14.
Thank you!
Username CPU Hours Games played
-----------------------------------------------------
noobpwnftw 27649494 1834734733
mlang 1426107 89454622
dew 1380910 82831648
mibere 703840 46867607
grandphish2 692707 41737913
tvijlbrief 669642 42371594
JojoM 597778 35297180
TueRens 519226 31823562
cw 458421 30307421
fastgm 439667 25950040
gvreuls 436599 28177460
crunchy 427035 27344275
CSU_Dynasty 374765 25106278
Fisherman 326901 21822979
ctoks 325477 21767943
velislav 295343 18844324
linrock 292789 10624427
bcross 278584 19488961
okrout 262818 13803272
pemo 245982 11376085
glinscott 217799 13780820
leszek 212346 12959025
nordlandia 211692 13484886
bking_US 198894 11876016
drabel 196463 13450602
robal 195473 12375650
mgrabiak 187226 12016564
Dantist 183202 10990484
Thanar 179852 12365359
vdv 175274 9889046
spams 157128 10319326
marrco 150295 9402141
sqrt2 147963 9724586
mhoram 141278 8901241
CoffeeOne 137100 5024116
vdbergh 137041 8926915
malala 136182 8002293
xoto 133702 9156676
davar 122092 7960001
dsmith 122059 7570238
Data 113305 8220352
BrunoBanani 112960 7436849
MaZePallas 102823 6633619
sterni1971 100532 5880772
ElbertoOne 99028 7023771
brabos 92118 6186135
oz 92100 6486640
psk 89957 5984901
amicic 89156 5392305
sunu 88851 6028873
Vizvezdenec 83761 5344740
0x3C33 82614 5271253
BRAVONE 81239 5054681
racerschmacer 80899 5759262
cuistot 80300 4606144
nssy 76497 5259388
teddybaer 75125 5407666
Pking_cda 73776 5293873
jromang 72192 5057715
solarlight 70517 5028306
dv8silencer 70287 3883992
Bobo1239 68515 4652287
manap 66273 4121774
skiminki 65088 4023328
tinker 64333 4268790
sschnee 60767 3500800
qurashee 57344 3168264
robnjr 57262 4053117
Freja 56938 3733019
ttruscott 56010 3680085
rkl 55132 4164467
renouve 53811 3501516
finfish 51360 3370515
eva42 51272 3599691
rap 49985 3219146
pb00067 49727 3298270
ronaldjerum 47654 3240695
bigpen0r 47653 3335327
eastorwest 47585 3221629
biffhero 46564 3111352
VoyagerOne 45476 3452465
yurikvelo 44834 3034550
speedycpu 43842 3003273
jbwiebe 43305 2805433
Spprtr 42279 2680153
DesolatedDodo 42007 2447516
Antihistamine 41788 2761312
mhunt 41735 2691355
homyur 39893 2850481
gri 39871 2515779
Fifis 38776 2529121
oryx 38724 2966648
SC 37290 2731014
csnodgrass 36207 2688994
jmdana 36157 2210661
strelock 34716 2074055
rpngn 33951 2057395
Garf 33922 2751802
EthanOConnor 33370 2090311
slakovv 32915 2021889
manapbk 30987 1810399
Prcuvu 30377 2170122
anst 30301 2190091
jkiiski 30136 1904470
hyperbolic.tom 29840 2017394
Pyafue 29650 1902349
Wolfgang 29260 1658936
zeryl 28156 1579911
OuaisBla 27636 1578800
DMBK 27051 1999456
chriswk 26902 1868317
achambord 26582 1767323
Patrick_G 26276 1801617
yorkman 26193 1992080
SFTUser 25182 1675689
nabildanial 24942 1519409
Sharaf_DG 24765 1786697
ncfish1 24411 1520927
rodneyc 24227 1409514
agg177 23890 1395014
JanErik 23408 1703875
Isidor 23388 1680691
Norabor 23164 1591830
cisco2015 22897 1762669
Zirie 22542 1472937
team-oh 22272 1636708
MazeOfGalious 21978 1629593
sg4032 21947 1643265
ianh2105 21725 1632562
xor12 21628 1680365
dex 21612 1467203
nesoneg 21494 1463031
sphinx 21211 1384728
jjoshua2 21001 1423089
horst.prack 20878 1465656
Ente 20865 1477066
0xB00B1ES 20590 1208666
j3corre 20405 941444
Adrian.Schmidt123 20316 1281436
wei 19973 1745989
MaxKlaxxMiner 19850 1009176
rstoesser 19569 1293588
gopeto 19491 1174952
eudhan 19274 1283717
jundery 18445 1115855
megaman7de 18377 1067540
iisiraider 18247 1101015
ville 17883 1384026
chris 17698 1487385
purplefishies 17595 1092533
dju 17353 978595
DragonLord 17014 1162790
IgorLeMasson 16064 1147232
ako027ako 15671 1173203
chuckstablers 15289 891576
Nikolay.IT 15154 1068349
Andrew Grant 15114 895539
OssumOpossum 14857 1007129
Karby 14808 867120
enedene 14476 905279
bpfliegel 14298 884523
mpx86 14019 759568
jpulman 13982 870599
crocogoat 13803 1117422
joster 13794 950160
Nesa92 13786 1114691
Hjax 13535 915487
jsys14 13459 785000
Dark_wizzie 13422 1007152
mabichito 12903 749391
thijsk 12886 722107
AdrianSA 12860 804972
Flopzee 12698 894821
fatmurphy 12547 853210
Rudolphous 12520 832340
scuzzi 12511 845761
SapphireBrand 12416 969604
modolief 12386 896470
Machariel 12335 810784
pgontarz 12151 848794
stocky 11954 699440
mschmidt 11941 803401
Maxim 11543 836024
infinity 11470 727027
torbjo 11395 729145
Thomas A. Anderson 11372 732094
savage84 11358 670860
d64 11263 789184
MooTheCow 11237 720174
snicolet 11106 869170
ali-al-zhrani 11086 767926
AndreasKrug 10875 887457
pirt 10806 836519
basepi 10637 744851
michaelrpg 10508 739039
dzjp 10343 732529
aga 10302 622975
ols 10259 570669
lbraesch 10252 647825
FormazChar 10059 757283
Username CPU Hours Games played
------------------------------------------------------------------
noobpwnftw 31714850 2267266129
mlang 2954099 198421098
technologov 2324150 102449398
dew 1670874 99276012
grandphish2 1134273 68070459
okrout 901194 77738874
TueRens 821388 50207666
tvijlbrief 795993 51894442
pemo 744463 32486677
JojoM 724378 43660674
mibere 703840 46867607
linrock 626939 17408017
gvreuls 534079 34352532
cw 507221 34006775
fastgm 489749 29344518
crunchy 427035 27344275
CSU_Dynasty 424643 28525220
ctoks 415771 27364603
oz 369200 27017658
bcross 342642 23671289
Fisherman 327231 21829379
velislav 325670 20911076
leszek 321295 19874113
Dantist 274747 16910258
mgrabiak 237604 15418700
robal 217959 13840386
glinscott 217799 13780820
nordlandia 211692 13484886
drabel 201967 13798360
bking_US 198894 11876016
mhoram 194862 12261809
Thanar 179852 12365359
vdv 175544 9904472
spams 157128 10319326
rpngn 154081 9652139
marrco 150300 9402229
sqrt2 147963 9724586
vdbergh 137430 8955097
CoffeeOne 137100 5024116
malala 136182 8002293
xoto 133759 9159372
davar 125240 8117121
dsmith 122059 7570238
amicic 119659 7937885
Data 113305 8220352
BrunoBanani 112960 7436849
CypressChess 108321 7759588
DesolatedDodo 106811 6776980
MaZePallas 102823 6633619
sterni1971 100532 5880772
sunu 100167 7040199
ElbertoOne 99028 7023771
skiminki 98123 6478402
brabos 92118 6186135
cuistot 90358 5351004
psk 89957 5984901
racerschmacer 85712 6119648
Vizvezdenec 83761 5344740
zeryl 83680 5250995
sschnee 83003 4840890
0x3C33 82614 5271253
BRAVONE 81239 5054681
nssy 76497 5259388
teddybaer 75125 5407666
jromang 74796 5175825
Pking_cda 73776 5293873
Calis007 72477 4088576
solarlight 70517 5028306
dv8silencer 70287 3883992
Bobo1239 68515 4652287
manap 66273 4121774
yurikvelo 65716 4457300
tinker 64333 4268790
Wolfgang 62644 3817410
qurashee 61208 3429862
robnjr 57262 4053117
Freja 56938 3733019
ttruscott 56010 3680085
rkl 55132 4164467
renouve 53811 3501516
megaman7de 52434 3243016
MaxKlaxxMiner 51977 3153032
finfish 51360 3370515
eva42 51272 3599691
eastorwest 51058 3451555
rap 49985 3219146
pb00067 49727 3298270
Spprtr 48920 3161711
bigpen0r 47667 3336927
ronaldjerum 47654 3240695
biffhero 46564 3111352
Fifis 45843 3088497
VoyagerOne 45476 3452465
speedycpu 43842 3003273
jbwiebe 43305 2805433
Antihistamine 41788 2761312
mhunt 41735 2691355
homyur 39893 2850481
gri 39871 2515779
armo9494 39064 2832326
oryx 38867 2976992
SC 37299 2731694
Garf 37213 2986270
tolkki963 37059 2154330
csnodgrass 36207 2688994
jmdana 36157 2210661
strelock 34716 2074055
DMBK 34010 2482916
EthanOConnor 33370 2090311
slakovv 32915 2021889
gopeto 30993 2028106
manapbk 30987 1810399
Prcuvu 30377 2170122
anst 30301 2190091
jkiiski 30136 1904470
hyperbolic.tom 29840 2017394
chuckstablers 29659 2093438
Pyafue 29650 1902349
ncfish1 29105 1704011
belzedar94 27935 1789106
OuaisBla 27636 1578800
chriswk 26902 1868317
achambord 26582 1767323
Patrick_G 26276 1801617
yorkman 26193 1992080
SFTUser 25182 1675689
nabildanial 24942 1519409
Sharaf_DG 24765 1786697
rodneyc 24275 1410450
agg177 23890 1395014
JanErik 23408 1703875
Isidor 23388 1680691
Norabor 23339 1602636
Ente 23270 1651432
cisco2015 22897 1762669
MarcusTullius 22688 1274821
Zirie 22542 1472937
team-oh 22272 1636708
MazeOfGalious 21978 1629593
sg4032 21947 1643265
ianh2105 21725 1632562
xor12 21628 1680365
dex 21612 1467203
nesoneg 21494 1463031
Roady 21323 1433822
sphinx 21211 1384728
user213718 21196 1397710
spcc 21065 1311338
jjoshua2 21001 1423089
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
-88
View File
@@ -1,88 +0,0 @@
version: 1.0.{build}
clone_depth: 50
branches:
only:
- master
# 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
- ps: |
# Download default NNUE net from fishtest
$nnuenet = Get-Content -Path src\evaluate.h | Select-String -CaseSensitive -Pattern "EvalFileDefaultName" | Select-String -CaseSensitive -Pattern "nn-[a-z0-9]{12}.nnue"
$dummy = $nnuenet -match "(?<nnuenet>nn-[a-z0-9]{12}.nnue)"
$nnuenet = $Matches.nnuenet
Write-Host "Default net:" $nnuenet
$nnuedownloadurl = "https://tests.stockfishchess.org/api/nn/$nnuenet"
$nnuefilepath = "src\${env:CONFIGURATION}\$nnuenet"
if (Test-Path -Path $nnuefilepath) {
Write-Host "Already available."
} else {
Write-Host "Downloading $nnuedownloadurl to $nnuefilepath"
Invoke-WebRequest -Uri $nnuedownloadurl -OutFile $nnuefilepath
}
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 }
+139 -77
View File
@@ -1,5 +1,5 @@
# Stockfish, a UCI chess playing engine derived from Glaurung 2.1
# Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
# 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
@@ -19,11 +19,29 @@
### Section 1. General Configuration
### ==========================================================================
### Establish the operating system name
KERNEL = $(shell uname -s)
ifeq ($(KERNEL),Linux)
OS = $(shell uname -o)
endif
### Target Windows OS
ifeq ($(OS),Windows_NT)
ifneq ($(COMP),ndk)
target_windows = yes
endif
else ifeq ($(COMP),mingw)
target_windows = yes
ifeq ($(WINE_PATH),)
WINE_PATH = $(shell which wine)
endif
endif
### Executable name
ifeq ($(COMP),mingw)
EXE = stockfish.exe
ifeq ($(target_windows),yes)
EXE = stockfish.exe
else
EXE = stockfish
EXE = stockfish
endif
### Establish the operating system name
@@ -38,11 +56,11 @@ BINDIR = $(PREFIX)/bin
### Built-in benchmark for pgo-builds
ifeq ($(SDE_PATH),)
PGOBENCH = ./$(EXE) bench
PGOGENSFEN = ./$(EXE) gensfen depth 3 loop 1000 sfen_format bin output_file_name $(PGO_TRAINING_DATA_FILE)
PGOBENCH = $(WINE_PATH) ./$(EXE) bench
PGOGENSFEN = $(WINE_PATH) ./$(EXE) gensfen depth 3 loop 1000 sfen_format bin output_file_name $(PGO_TRAINING_DATA_FILE)
else
PGOBENCH = $(SDE_PATH) -- ./$(EXE) bench
PGOGENSFEN = $(SDE_PATH) -- ./$(EXE) gensfen depth 3 loop 1000 sfen_format bin output_file_name $(PGO_TRAINING_DATA_FILE)
PGOBENCH = $(SDE_PATH) -- $(WINE_PATH) ./$(EXE) bench
PGOGENSFEN = $(SDE_PATH) -- $(WINE_PATH) ./$(EXE) gensfen depth 3 loop 1000 sfen_format bin output_file_name $(PGO_TRAINING_DATA_FILE)
endif
### Source and object files
@@ -89,6 +107,7 @@ VPATH = syzygy:nnue:nnue/features:eval:extra:tools
# ssse3 = yes/no --- -mssse3 --- Use Intel Supplemental Streaming SIMD Extensions 3
# sse41 = yes/no --- -msse4.1 --- Use Intel Streaming SIMD Extensions 4.1
# avx2 = yes/no --- -mavx2 --- Use Intel Advanced Vector Extensions 2
# avxvnni = yes/no --- -mavxvnni --- Use Intel Vector Neural Network Instructions AVX
# avx512 = yes/no --- -mavx512bw --- Use Intel Advanced Vector Extensions 512
# vnni256 = yes/no --- -mavx512vnni --- Use Intel Vector Neural Network Instructions 256
# vnni512 = yes/no --- -mavx512vnni --- Use Intel Vector Neural Network Instructions 512
@@ -99,7 +118,7 @@ VPATH = syzygy:nnue:nnue/features:eval:extra:tools
# at the end of the line for flag values.
#
# Example of use for these flags:
# make build ARCH=x86-64-avx512 debug=on sanitize="address undefined"
# make build ARCH=x86-64-avx512 debug=yes sanitize="address undefined"
### 2.1. General and architecture defaults
@@ -111,8 +130,8 @@ endif
# explicitly check for the list of supported architectures (as listed with make help),
# the user can override with `make ARCH=x86-32-vnni256 SUPPORTED_ARCH=true`
ifeq ($(ARCH), $(filter $(ARCH), \
x86-64-vnni512 x86-64-vnni256 x86-64-avx512 x86-64-bmi2 x86-64-avx2 \
x86-64-sse41-popcnt x86-64-modern x86-64-ssse3 x86-64-sse3-popcnt \
x86-64-vnni512 x86-64-vnni256 x86-64-avx512 x86-64-avxvnni x86-64-bmi2 \
x86-64-avx2 x86-64-sse41-popcnt x86-64-modern x86-64-ssse3 x86-64-sse3-popcnt \
x86-64 x86-32-sse41-popcnt x86-32-sse2 x86-32 ppc-64 ppc-32 e2k \
armv7 armv7-neon armv8 apple-silicon general-64 general-32))
SUPPORTED_ARCH=true
@@ -133,10 +152,12 @@ sse2 = no
ssse3 = no
sse41 = no
avx2 = no
avxvnni = no
avx512 = no
vnni256 = no
vnni512 = no
neon = no
arm_version = 0
STRIP = strip
### 2.2 Architecture specific
@@ -148,7 +169,7 @@ ifeq ($(findstring x86,$(ARCH)),x86)
ifeq ($(findstring x86-32,$(ARCH)),x86-32)
arch = i386
bits = 32
sse = yes
sse = no
mmx = yes
else
arch = x86_64
@@ -203,6 +224,17 @@ ifeq ($(findstring -avx2,$(ARCH)),-avx2)
avx2 = yes
endif
ifeq ($(findstring -avxvnni,$(ARCH)),-avxvnni)
popcnt = yes
sse = yes
sse2 = yes
ssse3 = yes
sse41 = yes
avx2 = yes
avxvnni = yes
pext = yes
endif
ifeq ($(findstring -bmi2,$(ARCH)),-bmi2)
popcnt = yes
sse = yes
@@ -273,6 +305,7 @@ ifeq ($(ARCH),armv7)
arch = armv7
prefetch = yes
bits = 32
arm_version = 7
endif
ifeq ($(ARCH),armv7-neon)
@@ -281,6 +314,7 @@ ifeq ($(ARCH),armv7-neon)
popcnt = yes
neon = yes
bits = 32
arm_version = 7
endif
ifeq ($(ARCH),armv8)
@@ -288,6 +322,7 @@ ifeq ($(ARCH),armv8)
prefetch = yes
popcnt = yes
neon = yes
arm_version = 8
endif
ifeq ($(ARCH),apple-silicon)
@@ -295,6 +330,7 @@ ifeq ($(ARCH),apple-silicon)
prefetch = yes
popcnt = yes
neon = yes
arm_version = 8
endif
ifeq ($(ARCH),ppc-32)
@@ -326,10 +362,16 @@ endif
### ==========================================================================
### 3.1 Selecting compiler (default = gcc)
ifeq ($(MAKELEVEL),0)
export ENV_CXXFLAGS := $(CXXFLAGS)
export ENV_DEPENDFLAGS := $(DEPENDFLAGS)
export ENV_LDFLAGS := $(LDFLAGS)
endif
ADDITIONAL_INCLUDE_DIRECTORIES = -I.
CXXFLAGS += -Wall -Wcast-qual -fno-exceptions -std=c++17 $(ADDITIONAL_INCLUDE_DIRECTORIES) $(EXTRACXXFLAGS)
DEPENDFLAGS += -std=c++17 $(ADDITIONAL_INCLUDE_DIRECTORIES)
LDFLAGS += $(EXTRALDFLAGS)
CXXFLAGS = $(ENV_CXXFLAGS) -Wall -Wcast-qual -fno-exceptions -std=c++17 $(ADDITIONAL_INCLUDE_DIRECTORIES) $(EXTRACXXFLAGS)
DEPENDFLAGS = $(ENV_DEPENDFLAGS) -std=c++17 $(ADDITIONAL_INCLUDE_DIRECTORIES)
LDFLAGS = $(ENV_LDFLAGS) $(EXTRALDFLAGS)
ifeq ($(COMP),)
COMP=gcc
@@ -359,29 +401,27 @@ ifeq ($(COMP),gcc)
endif
endif
ifeq ($(target_windows),yes)
LDFLAGS += -static
endif
ifeq ($(COMP),mingw)
comp=mingw
ifeq ($(KERNEL),Linux)
ifeq ($(bits),64)
ifeq ($(shell which x86_64-w64-mingw32-c++-posix),)
CXX=x86_64-w64-mingw32-c++
else
CXX=x86_64-w64-mingw32-c++-posix
endif
ifeq ($(bits),64)
ifeq ($(shell which x86_64-w64-mingw32-c++-posix 2> /dev/null),)
CXX=x86_64-w64-mingw32-c++
else
ifeq ($(shell which i686-w64-mingw32-c++-posix),)
CXX=i686-w64-mingw32-c++
else
CXX=i686-w64-mingw32-c++-posix
endif
CXX=x86_64-w64-mingw32-c++-posix
endif
else
CXX=g++
ifeq ($(shell which i686-w64-mingw32-c++-posix 2> /dev/null),)
CXX=i686-w64-mingw32-c++
else
CXX=i686-w64-mingw32-c++-posix
endif
endif
CXXFLAGS += -Wextra -Wshadow
LDFLAGS += -static
CXXFLAGS += -pedantic -Wextra -Wshadow
endif
ifeq ($(COMP),icc)
@@ -393,17 +433,19 @@ endif
ifeq ($(COMP),clang)
comp=clang
CXX=clang++
ifeq ($(target_windows),yes)
CXX=x86_64-w64-mingw32-clang++
endif
CXXFLAGS += -pedantic -Wextra -Wshadow
ifneq ($(KERNEL),Darwin)
ifneq ($(KERNEL),OpenBSD)
ifneq ($(KERNEL),FreeBSD)
ifeq ($(filter $(KERNEL),Darwin OpenBSD FreeBSD),)
ifeq ($(target_windows),)
ifneq ($(RTLIB),compiler-rt)
LDFLAGS += -latomic
endif
endif
endif
endif
ifeq ($(arch),$(filter $(arch),armv7 armv8))
ifeq ($(OS),Android)
@@ -435,11 +477,19 @@ ifeq ($(COMP),ndk)
ifeq ($(arch),armv7)
CXX=armv7a-linux-androideabi16-clang++
CXXFLAGS += -mthumb -march=armv7-a -mfloat-abi=softfp -mfpu=neon
STRIP=arm-linux-androideabi-strip
ifneq ($(shell which arm-linux-androideabi-strip 2>/dev/null),)
STRIP=arm-linux-androideabi-strip
else
STRIP=llvm-strip
endif
endif
ifeq ($(arch),armv8)
CXX=aarch64-linux-android21-clang++
STRIP=aarch64-linux-android-strip
ifneq ($(shell which aarch64-linux-android-strip 2>/dev/null),)
STRIP=aarch64-linux-android-strip
else
STRIP=llvm-strip
endif
endif
LDFLAGS += -static-libstdc++ -pie -lm -latomic
endif
@@ -453,6 +503,9 @@ else ifeq ($(comp),clang)
else
profile_make = gcc-profile-make
profile_use = gcc-profile-use
ifeq ($(KERNEL),Darwin)
EXTRAPROFILEFLAGS = -fvisibility=hidden
endif
endif
### Travis CI script uses COMPILER to overwrite CXX
@@ -513,10 +566,16 @@ ifeq ($(optimize),yes)
endif
endif
ifeq ($(comp),$(filter $(comp),gcc clang icc))
ifeq ($(KERNEL),Darwin)
ifeq ($(KERNEL),Darwin)
ifeq ($(comp),$(filter $(comp),clang icc))
CXXFLAGS += -mdynamic-no-pic
endif
ifeq ($(comp),gcc)
ifneq ($(arch),arm64)
CXXFLAGS += -mdynamic-no-pic
endif
endif
endif
ifeq ($(comp),clang)
@@ -529,7 +588,7 @@ ifeq ($(bits),64)
CXXFLAGS += -DIS_64BIT
endif
### 3.5 prefetch
### 3.5 prefetch and popcount
ifeq ($(prefetch),yes)
ifeq ($(sse),yes)
CXXFLAGS += -msse
@@ -538,7 +597,6 @@ else
CXXFLAGS += -DNO_PREFETCH
endif
### 3.6 popcnt
ifeq ($(popcnt),yes)
ifeq ($(arch),$(filter $(arch),ppc64 armv7 armv8 arm64))
CXXFLAGS += -DUSE_POPCNT
@@ -549,6 +607,7 @@ ifeq ($(popcnt),yes)
endif
endif
### 3.6 SIMD architectures
ifeq ($(avx2),yes)
CXXFLAGS += -DUSE_AVX2
ifeq ($(comp),$(filter $(comp),gcc clang mingw))
@@ -556,6 +615,13 @@ ifeq ($(avx2),yes)
endif
endif
ifeq ($(avxvnni),yes)
CXXFLAGS += -DUSE_VNNI -DUSE_AVXVNNI
ifeq ($(comp),$(filter $(comp),gcc clang mingw))
CXXFLAGS += -mavxvnni
endif
endif
ifeq ($(avx512),yes)
CXXFLAGS += -DUSE_AVX512
ifeq ($(comp),$(filter $(comp),gcc clang mingw))
@@ -606,7 +672,7 @@ ifeq ($(mmx),yes)
endif
ifeq ($(neon),yes)
CXXFLAGS += -DUSE_NEON
CXXFLAGS += -DUSE_NEON=$(arm_version)
ifeq ($(KERNEL),Linux)
ifneq ($(COMP),ndk)
ifneq ($(arch),armv8)
@@ -631,9 +697,7 @@ ifeq ($(optimize),yes)
ifeq ($(debug), no)
ifeq ($(comp),clang)
CXXFLAGS += -flto
ifneq ($(findstring MINGW,$(KERNEL)),)
CXXFLAGS += -fuse-ld=lld
else ifneq ($(findstring MSYS,$(KERNEL)),)
ifeq ($(target_windows),yes)
CXXFLAGS += -fuse-ld=lld
endif
LDFLAGS += $(CXXFLAGS)
@@ -644,25 +708,17 @@ ifeq ($(debug), no)
ifeq ($(gccisclang),)
CXXFLAGS += -flto
LDFLAGS += $(CXXFLAGS) -flto=jobserver
ifneq ($(findstring MINGW,$(KERNEL)),)
LDFLAGS += -save-temps
else ifneq ($(findstring MSYS,$(KERNEL)),)
LDFLAGS += -save-temps
endif
else
CXXFLAGS += -flto
LDFLAGS += $(CXXFLAGS)
endif
# To use LTO and static linking on windows, the tool chain requires a recent gcc:
# gcc version 10.1 in msys2 or TDM-GCC version 9.2 are known to work, older might not.
# So, only enable it for a cross from Linux by default.
# To use LTO and static linking on Windows,
# the tool chain requires gcc version 10.1 or later.
else ifeq ($(comp),mingw)
ifeq ($(KERNEL),Linux)
ifneq ($(arch),i386)
CXXFLAGS += -flto
LDFLAGS += $(CXXFLAGS) -flto=jobserver
endif
LDFLAGS += $(CXXFLAGS) -save-temps
endif
endif
endif
@@ -701,6 +757,7 @@ help:
@echo "x86-64-vnni512 > x86 64-bit with vnni support 512bit wide"
@echo "x86-64-vnni256 > x86 64-bit with vnni support 256bit wide"
@echo "x86-64-avx512 > x86 64-bit with avx512 support"
@echo "x86-64-avxvnni > x86 64-bit with avxvnni support"
@echo "x86-64-bmi2 > x86 64-bit with bmi2 support"
@echo "x86-64-avx2 > x86 64-bit with avx2 support"
@echo "x86-64-sse41-popcnt > x86 64-bit with sse41 and popcnt support"
@@ -763,8 +820,8 @@ profile-build: net config-sanity objclean profileclean
$(MAKE) ARCH=$(ARCH) COMP=$(COMP) $(profile_make)
@echo ""
@echo "Step 2/4. Running benchmark for pgo-build ..."
$(PGOBENCH) > /dev/null
$(PGOGENSFEN) > /dev/null
$(PGOBENCH) 2>&1 | tail -n 4
$(PGOGENSFEN) 2>&1 | tail -n 4
@echo ""
@echo "Step 3/4. Building optimized executable ..."
$(MAKE) ARCH=$(ARCH) COMP=$(COMP) objclean
@@ -779,7 +836,7 @@ strip:
install:
-mkdir -p -m 755 $(BINDIR)
-cp $(EXE) $(BINDIR)
-strip $(BINDIR)/$(EXE)
$(STRIP) $(BINDIR)/$(EXE)
# clean all
clean: objclean profileclean
@@ -792,22 +849,22 @@ net:
$(eval nnuedownloadurl := https://tests.stockfishchess.org/api/nn/$(nnuenet))
$(eval curl_or_wget := $(shell if hash curl 2>/dev/null; then echo "curl -skL"; elif hash wget 2>/dev/null; then echo "wget -qO-"; fi))
@if test -f "$(nnuenet)"; then \
echo "Already available."; \
else \
if [ "x$(curl_or_wget)" = "x" ]; then \
echo "Automatic download failed: neither curl nor wget is installed. Install one of these tools or download the net manually"; exit 1; \
else \
echo "Downloading $(nnuedownloadurl)"; $(curl_or_wget) $(nnuedownloadurl) > $(nnuenet);\
fi; \
fi;
echo "Already available."; \
else \
if [ "x$(curl_or_wget)" = "x" ]; then \
echo "Automatic download failed: neither curl nor wget is installed. Install one of these tools or download the net manually"; exit 1; \
else \
echo "Downloading $(nnuedownloadurl)"; $(curl_or_wget) $(nnuedownloadurl) > $(nnuenet);\
fi; \
fi;
$(eval shasum_command := $(shell if hash shasum 2>/dev/null; then echo "shasum -a 256 "; elif hash sha256sum 2>/dev/null; then echo "sha256sum "; fi))
@if [ "x$(shasum_command)" != "x" ]; then \
if [ "$(nnuenet)" != "nn-"`$(shasum_command) $(nnuenet) | cut -c1-12`".nnue" ]; then \
echo "Failed download or $(nnuenet) corrupted, please delete!"; exit 1; \
fi \
else \
echo "shasum / sha256sum not found, skipping net validation"; \
fi
if [ "$(nnuenet)" != "nn-"`$(shasum_command) $(nnuenet) | cut -c1-12`".nnue" ]; then \
echo "Failed download or $(nnuenet) corrupted, please delete!"; exit 1; \
fi \
else \
echo "shasum / sha256sum not found, skipping net validation"; \
fi
# clean binaries and objects
objclean:
@@ -818,8 +875,9 @@ profileclean:
@rm -rf profdir
@rm -f bench.txt *.gcda *.gcno ./syzygy/*.gcda ./nnue/*.gcda ./nnue/features/*.gcda *.s ./tools/*.gcda ./extra/*.gcda ./eval/*.gcda
@rm -f stockfish.profdata *.profraw
@rm -f stockfish.exe.lto_wrapper_args
@rm -f stockfish.exe.ltrans.out
@rm -f stockfish.*args*
@rm -f stockfish.*lt*
@rm -f stockfish.res
@rm -f ./-lstdc++.res
default:
@@ -850,10 +908,12 @@ config-sanity: net
@echo "ssse3: '$(ssse3)'"
@echo "sse41: '$(sse41)'"
@echo "avx2: '$(avx2)'"
@echo "avxvnni: '$(avxvnni)'"
@echo "avx512: '$(avx512)'"
@echo "vnni256: '$(vnni256)'"
@echo "vnni512: '$(vnni512)'"
@echo "neon: '$(neon)'"
@echo "arm_version: '$(arm_version)'"
@echo ""
@echo "Flags:"
@echo "CXX: $(CXX)"
@@ -905,12 +965,14 @@ gcc-profile-make:
@mkdir -p profdir
$(MAKE) ARCH=$(ARCH) COMP=$(COMP) \
EXTRACXXFLAGS='-fprofile-generate=profdir' \
EXTRACXXFLAGS+=$(EXTRAPROFILEFLAGS) \
EXTRALDFLAGS='-lgcov' \
all
gcc-profile-use:
$(MAKE) ARCH=$(ARCH) COMP=$(COMP) \
EXTRACXXFLAGS='-fprofile-use=profdir -fno-peel-loops -fno-tracer' \
EXTRACXXFLAGS+=$(EXTRAPROFILEFLAGS) \
EXTRALDFLAGS='-lgcov' \
all
@@ -925,7 +987,7 @@ icc-profile-use:
EXTRACXXFLAGS='-prof_use -prof_dir ./profdir' \
all
.depend:
-@$(CXX) $(DEPENDFLAGS) -MM $(SRCS) > $@
.depend: $(SRCS)
-@$(CXX) $(DEPENDFLAGS) -MM $(SRCS) > $@ 2> /dev/null
-include .depend
+2 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -87,6 +87,7 @@ const vector<string> Defaults = {
// Chess 960
"setoption name UCI_Chess960 value true",
"bbqnnrkr/pppppppp/8/8/8/8/PPPPPPPP/BBQNNRKR w HFhf - 0 1 moves g2g3 d7d5 d2d4 c8h3 c1g5 e8d6 g5e7 f7f6",
"nqbnrkrb/pppppppp/8/8/8/8/PPPPPPPP/NQBNRKRB w KQkq - 0 1",
"setoption name UCI_Chess960 value false"
};
+1 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
+1 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
+1 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
+1 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
+1 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
+74 -66
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -61,7 +61,7 @@ namespace Stockfish {
namespace Eval {
namespace NNUE {
string eval_file_loaded = "None";
string currentEvalFileName = "None";
UseNNUEMode useNNUE;
static UseNNUEMode nnue_mode_from_option(const UCI::Option& mode)
@@ -92,6 +92,8 @@ namespace Eval {
return;
string eval_file = string(Options["EvalFile"]);
if (eval_file.empty())
eval_file = EvalFileDefaultName;
#if defined(DEFAULT_NNUE_DIRECTORY)
#define stringify2(x) #x
@@ -102,13 +104,13 @@ namespace Eval {
#endif
for (string directory : dirs)
if (eval_file_loaded != eval_file)
if (currentEvalFileName != eval_file)
{
if (directory != "<internal>")
{
ifstream stream(directory + eval_file, ios::binary);
if (load_eval(eval_file, stream))
eval_file_loaded = eval_file;
currentEvalFileName = eval_file;
}
if (directory == "<internal>" && eval_file == EvalFileDefaultName)
@@ -120,10 +122,11 @@ namespace Eval {
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))
eval_file_loaded = eval_file;
currentEvalFileName = eval_file;
}
}
}
@@ -132,16 +135,16 @@ namespace Eval {
void NNUE::verify() {
string eval_file = string(Options["EvalFile"]);
if (eval_file.empty())
eval_file = EvalFileDefaultName;
if (useNNUE != UseNNUEMode::False && eval_file_loaded != eval_file)
if (useNNUE != UseNNUEMode::False && currentEvalFileName != eval_file)
{
UCI::OptionsMap defaults;
UCI::init(defaults);
string msg1 = "If the UCI option \"Use NNUE\" is set to true, network evaluation parameters compatible with the engine must be available.";
string msg2 = "The option is set to true, but the network file " + eval_file + " was not loaded successfully.";
string msg3 = "The UCI option EvalFile might need to specify the full path, including the directory name, to the network file.";
string msg4 = "The default net can be downloaded from: https://tests.stockfishchess.org/api/nn/" + string(defaults["EvalFile"]);
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;
@@ -204,17 +207,17 @@ using namespace Trace;
namespace {
// Threshold for lazy and space evaluation
constexpr Value LazyThreshold1 = Value(3130);
constexpr Value LazyThreshold2 = Value(2204);
constexpr Value LazyThreshold1 = Value(3631);
constexpr Value LazyThreshold2 = Value(2084);
constexpr Value SpaceThreshold = Value(11551);
// KingAttackWeights[PieceType] contains king attack weights by piece type
constexpr int KingAttackWeights[PIECE_TYPE_NB] = { 0, 0, 81, 52, 44, 10 };
constexpr int KingAttackWeights[PIECE_TYPE_NB] = { 0, 0, 76, 46, 45, 14 };
// SafeCheck[PieceType][single/multiple] contains safe check bonus by piece type,
// higher if multiple safe checks are possible for that piece type.
constexpr int SafeCheck[][2] = {
{}, {}, {803, 1292}, {639, 974}, {1087, 1878}, {759, 1132}
{}, {}, {805, 1292}, {650, 984}, {1071, 1886}, {730, 1128}
};
#define S(mg, eg) make_score(mg, eg)
@@ -240,58 +243,58 @@ namespace {
// BishopPawns[distance from edge] contains a file-dependent penalty for pawns on
// squares of the same color as our bishop.
constexpr Score BishopPawns[int(FILE_NB) / 2] = {
S(3, 8), S(3, 9), S(2, 8), S(3, 8)
S(3, 8), S(3, 9), S(2, 7), S(3, 7)
};
// KingProtector[knight/bishop] contains penalty for each distance unit to own king
constexpr Score KingProtector[] = { S(8, 9), S(6, 9) };
constexpr Score KingProtector[] = { S(9, 9), S(7, 9) };
// Outpost[knight/bishop] contains bonuses for each knight or bishop occupying a
// pawn protected square on rank 4 to 6 which is also safe from a pawn attack.
constexpr Score Outpost[] = { S(57, 38), S(31, 24) };
constexpr Score Outpost[] = { S(54, 34), S(31, 25) };
// PassedRank[Rank] contains a bonus according to the rank of a passed pawn
constexpr Score PassedRank[RANK_NB] = {
S(0, 0), S(7, 27), S(16, 32), S(17, 40), S(64, 71), S(170, 174), S(278, 262)
S(0, 0), S(2, 38), S(15, 36), S(22, 50), S(64, 81), S(166, 184), S(284, 269)
};
constexpr Score RookOnClosedFile = S(10, 5);
constexpr Score RookOnOpenFile[] = { S(19, 6), S(47, 26) };
constexpr Score RookOnOpenFile[] = { S(18, 8), S(49, 26) };
// ThreatByMinor/ByRook[attacked PieceType] contains bonuses according to
// which piece type attacks which one. Attacks on lesser pieces which are
// pawn-defended are not considered.
constexpr Score ThreatByMinor[PIECE_TYPE_NB] = {
S(0, 0), S(5, 32), S(55, 41), S(77, 56), S(89, 119), S(79, 162)
S(0, 0), S(6, 37), S(64, 50), S(82, 57), S(103, 130), S(81, 163)
};
constexpr Score ThreatByRook[PIECE_TYPE_NB] = {
S(0, 0), S(3, 44), S(37, 68), S(42, 60), S(0, 39), S(58, 43)
S(0, 0), S(3, 44), S(36, 71), S(44, 59), S(0, 39), S(60, 39)
};
constexpr Value CorneredBishop = Value(50);
// Assorted bonuses and penalties
constexpr Score UncontestedOutpost = S( 1, 10);
constexpr Score UncontestedOutpost = S( 0, 10);
constexpr Score BishopOnKingRing = S( 24, 0);
constexpr Score BishopXRayPawns = S( 4, 5);
constexpr Score FlankAttacks = S( 8, 0);
constexpr Score Hanging = S( 69, 36);
constexpr Score Hanging = S( 72, 40);
constexpr Score KnightOnQueen = S( 16, 11);
constexpr Score LongDiagonalBishop = S( 45, 0);
constexpr Score MinorBehindPawn = S( 18, 3);
constexpr Score PassedFile = S( 11, 8);
constexpr Score PawnlessFlank = S( 17, 95);
constexpr Score ReachableOutpost = S( 31, 22);
constexpr Score RestrictedPiece = S( 7, 7);
constexpr Score PassedFile = S( 13, 8);
constexpr Score PawnlessFlank = S( 19, 97);
constexpr Score ReachableOutpost = S( 33, 19);
constexpr Score RestrictedPiece = S( 6, 7);
constexpr Score RookOnKingRing = S( 16, 0);
constexpr Score SliderOnQueen = S( 60, 18);
constexpr Score ThreatByKing = S( 24, 89);
constexpr Score SliderOnQueen = S( 62, 21);
constexpr Score ThreatByKing = S( 24, 87);
constexpr Score ThreatByPawnPush = S( 48, 39);
constexpr Score ThreatBySafePawn = S(173, 94);
constexpr Score ThreatBySafePawn = S(167, 99);
constexpr Score TrappedRook = S( 55, 13);
constexpr Score WeakQueenProtection = S( 14, 0);
constexpr Score WeakQueen = S( 56, 15);
constexpr Score WeakQueen = S( 57, 19);
#undef S
@@ -1000,7 +1003,9 @@ namespace {
// Early exit if score is high
auto lazy_skip = [&](Value lazyThreshold) {
return abs(mg_value(score) + eg_value(score)) > lazyThreshold + pos.non_pawn_material() / 32;
return abs(mg_value(score) + eg_value(score)) > lazyThreshold
+ std::abs(pos.this_thread()->bestValue) * 5 / 4
+ pos.non_pawn_material() / 32;
};
if (lazy_skip(LazyThreshold1))
@@ -1065,26 +1070,22 @@ make_v:
if ( pos.piece_on(SQ_A1) == W_BISHOP
&& pos.piece_on(SQ_B2) == W_PAWN)
correction += !pos.empty(SQ_B3) ? -CorneredBishop * 4
: -CorneredBishop * 3;
correction -= CorneredBishop;
if ( pos.piece_on(SQ_H1) == W_BISHOP
&& pos.piece_on(SQ_G2) == W_PAWN)
correction += !pos.empty(SQ_G3) ? -CorneredBishop * 4
: -CorneredBishop * 3;
correction -= CorneredBishop;
if ( pos.piece_on(SQ_A8) == B_BISHOP
&& pos.piece_on(SQ_B7) == B_PAWN)
correction += !pos.empty(SQ_B6) ? CorneredBishop * 4
: CorneredBishop * 3;
correction += CorneredBishop;
if ( pos.piece_on(SQ_H8) == B_BISHOP
&& pos.piece_on(SQ_G7) == B_PAWN)
correction += !pos.empty(SQ_G6) ? CorneredBishop * 4
: CorneredBishop * 3;
correction += CorneredBishop;
return pos.side_to_move() == WHITE ? Value(correction)
: -Value(correction);
return pos.side_to_move() == WHITE ? Value(3 * correction)
: -Value(3 * correction);
}
} // namespace Eval
@@ -1107,37 +1108,39 @@ Value Eval::evaluate(const Position& pos) {
return v;
}
else if (NNUE::useNNUE == NNUE::UseNNUEMode::False)
v = Evaluation<NO_TRACE>(pos).value();
else
// Deciding between classical and NNUE eval (~10 Elo): for high PSQ imbalance we use classical,
// but we switch to NNUE during long shuffling or with high material on the board.
bool useClassical = (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());
// Deciding between classical and NNUE eval (~10 Elo): for high PSQ imbalance we use classical,
// but we switch to NNUE during long shuffling or with high material on the board.
if (NNUE::useNNUE == NNUE::UseNNUEMode::False || useClassical)
{
// Scale and shift NNUE for compatibility with search and classical evaluation
auto adjusted_NNUE = [&]()
{
int scale = 883
+ 32 * pos.count<PAWN>()
+ 32 * pos.non_pawn_material() / 1024;
v = Evaluation<NO_TRACE>(pos).value(); // classical
useClassical = abs(v) >= 297;
}
Value nnue = NNUE::evaluate(pos, true) * scale / 1024;
// If result of a classical evaluation is much lower than threshold fall back to NNUE
if (NNUE::useNNUE != NNUE::UseNNUEMode::False && !useClassical)
{
Value nnue = NNUE::evaluate(pos, true); // NNUE
int scale = 1080 + 110 * pos.non_pawn_material() / 5120;
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 = (278 * abs(nnue - psq)) / 256;
if (pos.is_chess960())
nnue += fix_FRC(pos);
optimism = optimism * (251 + complexity) / 256;
v = (nnue * scale + optimism * (scale - 852)) / 1024;
return nnue;
};
// If there is PSQ imbalance we use the classical eval, but we switch to
// NNUE eval faster when shuffling or if the material on the board is high.
int r50 = pos.rule50_count();
Value psq = Value(abs(eg_value(pos.psq_score())));
bool classical = psq * 5 > (850 + pos.non_pawn_material() / 64) * (5 + r50);
v = classical ? Evaluation<NO_TRACE>(pos).value() // classical
: adjusted_NNUE(); // NNUE
if (pos.is_chess960())
v += fix_FRC(pos);
}
// Damp down the evaluation linearly when shuffling
v = v * (100 - pos.rule50_count()) / 100;
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);
@@ -1162,7 +1165,12 @@ std::string Eval::trace(Position& pos) {
std::memset(scores, 0, sizeof(scores));
pos.this_thread()->trend = SCORE_ZERO; // Reset any dynamic contempt
// 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();
+3 -3
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -36,7 +36,7 @@ namespace Eval {
// The default net name MUST follow the format nn-[SHA256 first 12 digits].nnue
// for the build process (profile-build and fishtest) to work. Do not change the
// name of the macro, as it is used in the Makefile.
#define EvalFileDefaultName "nn-e8321e467bf6.nnue"
#define EvalFileDefaultName "nn-3c0aa92af1da.nnue"
namespace NNUE {
enum struct UseNNUEMode
@@ -47,7 +47,7 @@ namespace Eval {
};
extern UseNNUEMode useNNUE;
extern std::string eval_file_loaded;
extern std::string currentEvalFileName;
std::string trace(Position& pos);
Value evaluate(const Position& pos, bool adjusted = false);
+1 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
+1 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
+1 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
+38 -18
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -36,6 +36,8 @@ typedef bool(*fun1_t)(LOGICAL_PROCESSOR_RELATIONSHIP,
PSYSTEM_LOGICAL_PROCESSOR_INFORMATION_EX, PDWORD);
typedef bool(*fun2_t)(USHORT, 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
@@ -112,7 +114,14 @@ public:
static Logger l;
if (!fname.empty() && !l.file.is_open())
if (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);
@@ -125,12 +134,6 @@ public:
cin.rdbuf(&l.in);
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();
}
}
};
@@ -496,11 +499,11 @@ void bindThisThread(size_t) {}
#else
/// best_group() retrieves logical processor information using Windows specific
/// API and returns the best group id for the thread with index idx. Original
/// best_node() retrieves logical processor information using Windows specific
/// API and returns the best node id for the thread with index idx. Original
/// code from Texel by Peter Österlund.
int best_group(size_t idx) {
int best_node(size_t idx) {
int threads = 0;
int nodes = 0;
@@ -514,7 +517,8 @@ int best_group(size_t idx) {
if (!fun1)
return -1;
// First call to get returnLength. We expect it to fail due to null buffer
// First call to GetLogicalProcessorInformationEx() to get returnLength.
// We expect the call to fail due to null buffer.
if (fun1(RelationAll, nullptr, &returnLength))
return -1;
@@ -522,7 +526,7 @@ int best_group(size_t idx) {
SYSTEM_LOGICAL_PROCESSOR_INFORMATION_EX *buffer, *ptr;
ptr = buffer = (SYSTEM_LOGICAL_PROCESSOR_INFORMATION_EX*)malloc(returnLength);
// Second call, now we expect to succeed
// Second call to GetLogicalProcessorInformationEx(), now we expect to succeed
if (!fun1(RelationAll, buffer, &returnLength))
{
free(buffer);
@@ -572,22 +576,38 @@ int best_group(size_t idx) {
void bindThisThread(size_t idx) {
// Use only local variables to be thread-safe
int group = best_group(idx);
int node = best_node(idx);
if (group == -1)
if (node == -1)
return;
// Early exit if the needed API are not available at runtime
HMODULE k32 = GetModuleHandle("Kernel32.dll");
auto fun2 = (fun2_t)(void(*)())GetProcAddress(k32, "GetNumaNodeProcessorMaskEx");
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)
return;
GROUP_AFFINITY affinity;
if (fun2(group, &affinity))
fun3(GetCurrentThread(), &affinity, nullptr);
if (!fun4 || !fun5)
{
GROUP_AFFINITY affinity;
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
+50 -14
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -108,19 +108,30 @@ static inline const union { uint32_t i; char c[4]; } Le = { 0x01020304 };
static inline const bool IsLittleEndian = (Le.c[0] == 4);
template <typename T>
class ValueListInserter {
public:
ValueListInserter(T* v, std::size_t& s) :
values(v),
size(&s)
{
}
// RunningAverage : a class to calculate a running average of a series of values.
// For efficiency, all computations are done with integers.
class RunningAverage {
public:
void push_back(const T& value) { values[(*size)++] = value; }
private:
T* values;
std::size_t* size;
// 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>
@@ -136,7 +147,6 @@ public:
const T& operator[](std::size_t index) const { return values_[index]; }
const T* begin() const { return values_; }
const T* end() const { return values_ + size_; }
operator ValueListInserter<T>() { return ValueListInserter(values_, size_); }
void swap(ValueList& other) {
const std::size_t maxSize = std::max(size_, other.size_);
@@ -365,6 +375,32 @@ public:
extern SynchronizedRegionLogger sync_region_cout;
/// 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
/// This class is based on original code written and dedicated
+4 -4
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -52,9 +52,9 @@ namespace {
constexpr Direction UpRight = (Us == WHITE ? NORTH_EAST : SOUTH_WEST);
constexpr Direction UpLeft = (Us == WHITE ? NORTH_WEST : SOUTH_EAST);
const Bitboard emptySquares = Type == QUIETS || Type == QUIET_CHECKS ? target : ~pos.pieces();
const Bitboard enemies = Type == EVASIONS ? pos.checkers()
: Type == CAPTURES ? target : pos.pieces(Them);
const Bitboard emptySquares = ~pos.pieces();
const Bitboard enemies = Type == EVASIONS ? pos.checkers()
: pos.pieces(Them);
Bitboard pawnsOn7 = pos.pieces(Us, PAWN) & TRank7BB;
Bitboard pawnsNotOn7 = pos.pieces(Us, PAWN) & ~TRank7BB;
+1 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
+55 -18
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -18,6 +18,7 @@
#include <cassert>
#include "bitboard.h"
#include "movepick.h"
namespace Stockfish {
@@ -56,11 +57,14 @@ namespace {
/// ordering is at the current node.
/// MovePicker constructor for the main search
MovePicker::MovePicker(const Position& p, Move ttm, Depth d, const ButterflyHistory* mh, const LowPlyHistory* lp,
const CapturePieceToHistory* cph, const PieceToHistory** ch, Move cm, const Move* killers, int pl)
: pos(p), mainHistory(mh), lowPlyHistory(lp), captureHistory(cph), continuationHistory(ch),
ttMove(ttm), refutations{{killers[0], 0}, {killers[1], 0}, {cm, 0}}, depth(d), ply(pl) {
MovePicker::MovePicker(const Position& p, Move ttm, Depth d, const ButterflyHistory* mh,
const CapturePieceToHistory* cph,
const PieceToHistory** ch,
Move cm,
const Move* killers)
: pos(p), mainHistory(mh), captureHistory(cph), continuationHistory(ch),
ttMove(ttm), refutations{{killers[0], 0}, {killers[1], 0}, {cm, 0}}, depth(d)
{
assert(d > 0);
stage = (pos.checkers() ? EVASION_TT : MAIN_TT) +
@@ -69,9 +73,11 @@ MovePicker::MovePicker(const Position& p, Move ttm, Depth d, const ButterflyHist
/// MovePicker constructor for quiescence search
MovePicker::MovePicker(const Position& p, Move ttm, Depth d, const ButterflyHistory* mh,
const CapturePieceToHistory* cph, const PieceToHistory** ch, Square rs)
: pos(p), mainHistory(mh), captureHistory(cph), continuationHistory(ch), ttMove(ttm), recaptureSquare(rs), depth(d) {
const CapturePieceToHistory* cph,
const PieceToHistory** ch,
Square rs)
: pos(p), mainHistory(mh), captureHistory(cph), continuationHistory(ch), ttMove(ttm), recaptureSquare(rs), depth(d)
{
assert(d <= 0);
stage = (pos.checkers() ? EVASION_TT : QSEARCH_TT) +
@@ -82,9 +88,9 @@ MovePicker::MovePicker(const Position& p, Move ttm, Depth d, const ButterflyHist
/// MovePicker constructor for ProbCut: we generate captures with SEE greater
/// than or equal to the given threshold.
MovePicker::MovePicker(const Position& p, Move ttm, Value th, const CapturePieceToHistory* cph)
: pos(p), captureHistory(cph), ttMove(ttm), threshold(th) {
MovePicker::MovePicker(const Position& p, Move ttm, Value th, Depth d, const CapturePieceToHistory* cph)
: pos(p), captureHistory(cph), ttMove(ttm), threshold(th), depth(d)
{
assert(!pos.checkers());
stage = PROBCUT_TT + !(ttm && pos.capture(ttm)
@@ -100,10 +106,35 @@ void MovePicker::score() {
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)
if constexpr (Type == CAPTURES)
m.value = int(PieceValue[MG][pos.piece_on(to_sq(m))]) * 6
+ (*captureHistory)[pos.moved_piece(m)][to_sq(m)][type_of(pos.piece_on(to_sq(m)))];
m.value = 6 * int(PieceValue[MG][pos.piece_on(to_sq(m))])
+ (*captureHistory)[pos.moved_piece(m)][to_sq(m)][type_of(pos.piece_on(to_sq(m)))];
else if constexpr (Type == QUIETS)
m.value = (*mainHistory)[pos.side_to_move()][from_to(m)]
@@ -111,7 +142,12 @@ void MovePicker::score() {
+ (*continuationHistory[1])[pos.moved_piece(m)][to_sq(m)]
+ (*continuationHistory[3])[pos.moved_piece(m)][to_sq(m)]
+ (*continuationHistory[5])[pos.moved_piece(m)][to_sq(m)]
+ (ply < MAX_LPH ? 6 * (*lowPlyHistory)[ply][from_to(m)] : 0);
+ (threatened & from_sq(m) ?
(type_of(pos.moved_piece(m)) == QUEEN && !(to_sq(m) & threatenedByRook) ? 50000
: type_of(pos.moved_piece(m)) == ROOK && !(to_sq(m) & threatenedByMinor) ? 25000
: !(to_sq(m) & threatenedByPawn) ? 15000
: 0)
: 0);
else // Type == EVASIONS
{
@@ -165,11 +201,12 @@ top:
endMoves = generate<CAPTURES>(pos, cur);
score<CAPTURES>();
partial_insertion_sort(cur, endMoves, -3000 * depth);
++stage;
goto top;
case GOOD_CAPTURE:
if (select<Best>([&](){
if (select<Next>([&](){
return pos.see_ge(*cur, Value(-69 * cur->value / 1024)) ?
// Move losing capture to endBadCaptures to be tried later
true : (*endBadCaptures++ = *cur, false); }))
@@ -237,10 +274,10 @@ top:
return select<Best>([](){ return true; });
case PROBCUT:
return select<Best>([&](){ return pos.see_ge(*cur, threshold); });
return select<Next>([&](){ return pos.see_ge(*cur, threshold); });
case QCAPTURE:
if (select<Best>([&](){ return depth > DEPTH_QS_RECAPTURES
if (select<Next>([&](){ return depth > DEPTH_QS_RECAPTURES
|| to_sq(*cur) == recaptureSquare; }))
return *(cur - 1);
+8 -18
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -86,13 +86,7 @@ enum StatsType { NoCaptures, Captures };
/// unsuccessful during the current search, and is used for reduction and move
/// ordering decisions. It uses 2 tables (one for each color) indexed by
/// the move's from and to squares, see www.chessprogramming.org/Butterfly_Boards
typedef Stats<int16_t, 13365, COLOR_NB, int(SQUARE_NB) * int(SQUARE_NB)> ButterflyHistory;
/// At higher depths LowPlyHistory records successful quiet moves near the root
/// and quiet moves which are/were in the PV (ttPv). It is cleared with each new
/// 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;
typedef Stats<int16_t, 14365, COLOR_NB, int(SQUARE_NB) * int(SQUARE_NB)> ButterflyHistory;
/// CounterMoveHistory stores counter moves indexed by [piece][to] of the previous
/// move, see www.chessprogramming.org/Countermove_Heuristic
@@ -123,18 +117,16 @@ class MovePicker {
public:
MovePicker(const MovePicker&) = delete;
MovePicker& operator=(const MovePicker&) = delete;
MovePicker(const Position&, Move, Value, const CapturePieceToHistory*);
MovePicker(const Position&, Move, Depth, const ButterflyHistory*,
const CapturePieceToHistory*,
const PieceToHistory**,
Move,
const Move*);
MovePicker(const Position&, Move, Depth, const ButterflyHistory*,
const CapturePieceToHistory*,
const PieceToHistory**,
Square);
MovePicker(const Position&, Move, Depth, const ButterflyHistory*,
const LowPlyHistory*,
const CapturePieceToHistory*,
const PieceToHistory**,
Move,
const Move*,
int);
MovePicker(const Position&, Move, Value, Depth, const CapturePieceToHistory*);
Move next_move(bool skipQuiets = false);
private:
@@ -145,7 +137,6 @@ private:
const Position& pos;
const ButterflyHistory* mainHistory;
const LowPlyHistory* lowPlyHistory;
const CapturePieceToHistory* captureHistory;
const PieceToHistory** continuationHistory;
Move ttMove;
@@ -154,7 +145,6 @@ private:
Square recaptureSquare;
Value threshold;
Depth depth;
int ply;
ExtMove moves[MAX_MOVES];
};
+15 -32
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -109,7 +109,7 @@ namespace Stockfish::Eval::NNUE {
{
write_little_endian<std::uint32_t>(stream, Version);
write_little_endian<std::uint32_t>(stream, hashValue);
write_little_endian<std::uint32_t>(stream, desc.size());
write_little_endian<std::uint32_t>(stream, (std::uint32_t)desc.size());
stream.write(&desc[0], desc.size());
return !stream.fail();
}
@@ -143,39 +143,29 @@ namespace Stockfish::Eval::NNUE {
// 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)];
char bufferUnaligned[Network::BufferSize + alignment];
auto* transformedFeatures = align_ptr_up<alignment>(&transformedFeaturesUnaligned[0]);
auto* buffer = align_ptr_up<alignment>(&bufferUnaligned[0]);
#else
alignas(alignment)
TransformedFeatureType transformedFeatures[FeatureTransformer::BufferSize];
alignas(alignment) char buffer[Network::BufferSize];
#endif
ASSERT_ALIGNED(transformedFeatures, alignment);
ASSERT_ALIGNED(buffer, alignment);
const std::size_t bucket = (pos.count<ALL_PIECES>() - 1) / 4;
const int bucket = (pos.count<ALL_PIECES>() - 1) / 4;
const auto psqt = featureTransformer->transform(pos, transformedFeatures, bucket);
const auto output = network[bucket]->propagate(transformedFeatures, buffer);
const auto positional = network[bucket]->propagate(transformedFeatures);
int materialist = psqt;
int positional = output[0];
int delta_npm = abs(pos.non_pawn_material(WHITE) - pos.non_pawn_material(BLACK));
int entertainment = (adjusted && delta_npm <= BishopValueMg - KnightValueMg ? 7 : 0);
int A = 128 - entertainment;
int B = 128 + entertainment;
int sum = (A * materialist + B * positional) / 128;
return static_cast<Value>( sum / OutputScale );
// 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 {
@@ -196,27 +186,20 @@ namespace Stockfish::Eval::NNUE {
#if defined(ALIGNAS_ON_STACK_VARIABLES_BROKEN)
TransformedFeatureType transformedFeaturesUnaligned[
FeatureTransformer::BufferSize + alignment / sizeof(TransformedFeatureType)];
char bufferUnaligned[Network::BufferSize + alignment];
auto* transformedFeatures = align_ptr_up<alignment>(&transformedFeaturesUnaligned[0]);
auto* buffer = align_ptr_up<alignment>(&bufferUnaligned[0]);
#else
alignas(alignment)
TransformedFeatureType transformedFeatures[FeatureTransformer::BufferSize];
alignas(alignment) char buffer[Network::BufferSize];
#endif
ASSERT_ALIGNED(transformedFeatures, alignment);
ASSERT_ALIGNED(buffer, alignment);
NnueEvalTrace t{};
t.correctBucket = (pos.count<ALL_PIECES>() - 1) / 4;
for (std::size_t bucket = 0; bucket < LayerStacks; ++bucket) {
const auto psqt = featureTransformer->transform(pos, transformedFeatures, bucket);
const auto output = network[bucket]->propagate(transformedFeatures, buffer);
int materialist = psqt;
int positional = output[0];
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 );
@@ -239,7 +222,7 @@ namespace Stockfish::Eval::NNUE {
{
buffer[1] = '0' + cp / 10000; cp %= 10000;
buffer[2] = '0' + cp / 1000; cp %= 1000;
buffer[3] = '0' + cp / 100; cp %= 100;
buffer[3] = '0' + cp / 100;
buffer[4] = ' ';
}
else if (cp >= 1000)
@@ -396,7 +379,7 @@ namespace Stockfish::Eval::NNUE {
actualFilename = filename.value();
else
{
if (eval_file_loaded != EvalFileDefaultName)
if (currentEvalFileName != EvalFileDefaultName)
{
msg = "Failed to export a net. A non-embedded net can only be saved if the filename is specified";
+1 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
+9 -11
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -39,7 +39,7 @@ namespace Stockfish::Eval::NNUE::Features {
void HalfKAv2_hm::append_active_indices(
const Position& pos,
Color perspective,
ValueListInserter<IndexType> active
IndexList& active
) {
Square ksq = pos.square<KING>(perspective);
Bitboard bb = pos.pieces();
@@ -55,22 +55,20 @@ namespace Stockfish::Eval::NNUE::Features {
void HalfKAv2_hm::append_changed_indices(
Square ksq,
StateInfo* st,
const DirtyPiece& dp,
Color perspective,
ValueListInserter<IndexType> removed,
ValueListInserter<IndexType> added
IndexList& removed,
IndexList& added
) {
const auto& dp = st->dirtyPiece;
for (int i = 0; i < dp.dirty_num; ++i) {
Piece pc = dp.piece[i];
if (dp.from[i] != SQ_NONE)
removed.push_back(make_index(perspective, dp.from[i], pc, ksq));
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], pc, ksq));
added.push_back(make_index(perspective, dp.to[i], dp.piece[i], ksq));
}
}
int HalfKAv2_hm::update_cost(StateInfo* st) {
int HalfKAv2_hm::update_cost(const StateInfo* st) {
return st->dirtyPiece.dirty_num;
}
@@ -78,7 +76,7 @@ namespace Stockfish::Eval::NNUE::Features {
return pos.count<ALL_PIECES>();
}
bool HalfKAv2_hm::requires_refresh(StateInfo* st, Color perspective) {
bool HalfKAv2_hm::requires_refresh(const StateInfo* st, Color perspective) {
return st->dirtyPiece.piece[0] == make_piece(perspective, KING);
}
+13 -11
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -50,7 +50,7 @@ namespace Stockfish::Eval::NNUE::Features {
PS_W_QUEEN = 8 * SQUARE_NB,
PS_B_QUEEN = 9 * SQUARE_NB,
PS_KING = 10 * SQUARE_NB,
PS_NB = 11 * SQUARE_NB
PS_NB = 11 * SQUARE_NB
};
static constexpr IndexType PieceSquareIndex[COLOR_NB][PIECE_NB] = {
@@ -85,36 +85,38 @@ namespace Stockfish::Eval::NNUE::Features {
-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
-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,
ValueListInserter<IndexType> active);
IndexList& active);
// Get a list of indices for recently changed features
static void append_changed_indices(
Square ksq,
StateInfo* st,
const DirtyPiece& dp,
Color perspective,
ValueListInserter<IndexType> removed,
ValueListInserter<IndexType> added);
IndexList& removed,
IndexList& added
);
// Returns the cost of updating one perspective, the most costly one.
// Assumes no refresh needed.
static int update_cost(StateInfo* st);
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(StateInfo* st, Color perspective);
static bool requires_refresh(const StateInfo* st, Color perspective);
};
} // namespace Stockfish::Eval::NNUE::Features
File diff suppressed because it is too large Load Diff
+15 -26
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -26,50 +26,41 @@
namespace Stockfish::Eval::NNUE::Layers {
// Clipped ReLU
template <typename PreviousLayer>
template <IndexType InDims>
class ClippedReLU {
public:
// Input/output type
using InputType = typename PreviousLayer::OutputType;
using InputType = std::int32_t;
using OutputType = std::uint8_t;
static_assert(std::is_same<InputType, std::int32_t>::value, "");
// Number of input/output dimensions
static constexpr IndexType InputDimensions =
PreviousLayer::OutputDimensions;
static constexpr IndexType InputDimensions = InDims;
static constexpr IndexType OutputDimensions = InputDimensions;
static constexpr IndexType PaddedOutputDimensions =
ceil_to_multiple<IndexType>(OutputDimensions, 32);
// Size of forward propagation buffer used in this layer
static constexpr std::size_t SelfBufferSize =
ceil_to_multiple(OutputDimensions * sizeof(OutputType), CacheLineSize);
// Size of the forward propagation buffer used from the input layer to this layer
static constexpr std::size_t BufferSize =
PreviousLayer::BufferSize + SelfBufferSize;
using OutputBuffer = OutputType[PaddedOutputDimensions];
// Hash value embedded in the evaluation file
static constexpr std::uint32_t get_hash_value() {
static constexpr std::uint32_t get_hash_value(std::uint32_t prevHash) {
std::uint32_t hashValue = 0x538D24C7u;
hashValue += PreviousLayer::get_hash_value();
hashValue += prevHash;
return hashValue;
}
// Read network parameters
bool read_parameters(std::istream& stream) {
return previousLayer.read_parameters(stream);
bool read_parameters(std::istream&) {
return true;
}
// Write network parameters
bool write_parameters(std::ostream& stream) const {
return previousLayer.write_parameters(stream);
bool write_parameters(std::ostream&) const {
return true;
}
// Forward propagation
const OutputType* propagate(
const TransformedFeatureType* transformedFeatures, char* buffer) const {
const auto input = previousLayer.propagate(
transformedFeatures, buffer + SelfBufferSize);
const auto output = reinterpret_cast<OutputType*>(buffer);
const InputType* input, OutputType* output) const {
#if defined(USE_AVX2)
if constexpr (InputDimensions % SimdWidth == 0) {
@@ -179,11 +170,9 @@ namespace Stockfish::Eval::NNUE::Layers {
output[i] = static_cast<OutputType>(
std::max(0, std::min(127, input[i] >> WeightScaleBits)));
}
return output;
}
private:
PreviousLayer previousLayer;
};
} // namespace Stockfish::Eval::NNUE::Layers
-72
View File
@@ -1,72 +0,0 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Stockfish is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
// 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 Stockfish::Eval::NNUE::Layers {
// Input layer
template <IndexType OutDims, IndexType Offset = 0>
class InputSlice {
public:
// Need to maintain alignment
static_assert(Offset % MaxSimdWidth == 0, "");
// Output type
using OutputType = TransformedFeatureType;
// Output dimensionality
static constexpr IndexType OutputDimensions = OutDims;
// Size of forward propagation buffer used from the input layer to this layer
static constexpr std::size_t BufferSize = 0;
// Hash value embedded in the evaluation file
static constexpr std::uint32_t get_hash_value() {
std::uint32_t hashValue = 0xEC42E90Du;
hashValue ^= OutputDimensions ^ (Offset << 10);
return hashValue;
}
// Read network parameters
bool read_parameters(std::istream& /*stream*/) {
return true;
}
// Write network parameters
bool write_parameters(std::ostream& /*stream*/) const {
return true;
}
// Forward propagation
const OutputType* propagate(
const TransformedFeatureType* transformedFeatures,
char* /*buffer*/) const {
return transformedFeatures + Offset;
}
private:
};
} // namespace Stockfish::Eval::NNUE::Layers
#endif // #ifndef NNUE_LAYERS_INPUT_SLICE_H_INCLUDED
+120
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@@ -0,0 +1,120 @@
/*
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 layer ClippedReLU of NNUE evaluation function
#ifndef NNUE_LAYERS_SQR_CLIPPED_RELU_H_INCLUDED
#define NNUE_LAYERS_SQR_CLIPPED_RELU_H_INCLUDED
#include "../nnue_common.h"
namespace Stockfish::Eval::NNUE::Layers {
// Clipped ReLU
template <IndexType InDims>
class SqrClippedReLU {
public:
// Input/output type
using InputType = std::int32_t;
using OutputType = std::uint8_t;
// Number of input/output dimensions
static constexpr IndexType InputDimensions = InDims;
static constexpr IndexType OutputDimensions = InputDimensions;
static constexpr IndexType PaddedOutputDimensions =
ceil_to_multiple<IndexType>(OutputDimensions, 32);
using OutputBuffer = OutputType[PaddedOutputDimensions];
// Hash value embedded in the evaluation file
static constexpr std::uint32_t get_hash_value(std::uint32_t prevHash) {
std::uint32_t hashValue = 0x538D24C7u;
hashValue += prevHash;
return hashValue;
}
// Read network parameters
bool read_parameters(std::istream&) {
return true;
}
// Write network parameters
bool write_parameters(std::ostream&) const {
return true;
}
// Forward propagation
const OutputType* propagate(
const InputType* input, OutputType* output) const {
#if defined(USE_SSE2)
constexpr IndexType NumChunks = InputDimensions / 16;
#ifdef USE_SSE41
const __m128i Zero = _mm_setzero_si128();
#else
const __m128i k0x80s = _mm_set1_epi8(-128);
#endif
static_assert(WeightScaleBits == 6);
const auto in = reinterpret_cast<const __m128i*>(input);
const auto out = reinterpret_cast<__m128i*>(output);
for (IndexType i = 0; i < NumChunks; ++i) {
__m128i words0 = _mm_packs_epi32(
_mm_load_si128(&in[i * 4 + 0]),
_mm_load_si128(&in[i * 4 + 1]));
__m128i words1 = _mm_packs_epi32(
_mm_load_si128(&in[i * 4 + 2]),
_mm_load_si128(&in[i * 4 + 3]));
// Not sure if
words0 = _mm_srli_epi16(_mm_mulhi_epi16(words0, words0), 3);
words1 = _mm_srli_epi16(_mm_mulhi_epi16(words1, words1), 3);
const __m128i packedbytes = _mm_packs_epi16(words0, words1);
_mm_store_si128(&out[i],
#ifdef USE_SSE41
_mm_max_epi8(packedbytes, Zero)
#else
_mm_subs_epi8(_mm_adds_epi8(packedbytes, k0x80s), k0x80s)
#endif
);
}
constexpr IndexType Start = NumChunks * 16;
#else
constexpr IndexType Start = 0;
#endif
for (IndexType i = Start; i < InputDimensions; ++i) {
output[i] = static_cast<OutputType>(
// realy should be /127 but we need to make it fast
// needs to be accounted for in the trainer
std::max(0ll, std::min(127ll, (((long long)input[i] * input[i]) >> (2 * WeightScaleBits)) / 128)));
}
return output;
}
};
} // namespace Stockfish::Eval::NNUE::Layers
#endif // NNUE_LAYERS_SQR_CLIPPED_RELU_H_INCLUDED
+1 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
+97 -19
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -21,39 +21,117 @@
#ifndef NNUE_ARCHITECTURE_H_INCLUDED
#define NNUE_ARCHITECTURE_H_INCLUDED
#include <memory>
#include "nnue_common.h"
#include "features/half_ka_v2_hm.h"
#include "layers/input_slice.h"
#include "layers/affine_transform.h"
#include "layers/clipped_relu.h"
#include "layers/sqr_clipped_relu.h"
#include "../misc.h"
namespace Stockfish::Eval::NNUE {
// Input features used in evaluation function
using FeatureSet = Features::HalfKAv2_hm;
// 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;
// Number of input feature dimensions after conversion
constexpr IndexType TransformedFeatureDimensions = 1024;
constexpr IndexType PSQTBuckets = 8;
constexpr IndexType LayerStacks = 8;
namespace Layers {
struct Network
{
static constexpr int FC_0_OUTPUTS = 15;
static constexpr int FC_1_OUTPUTS = 32;
// Define network structure
using InputLayer = InputSlice<TransformedFeatureDimensions * 2>;
using HiddenLayer1 = ClippedReLU<AffineTransform<InputLayer, 8>>;
using HiddenLayer2 = ClippedReLU<AffineTransform<HiddenLayer1, 32>>;
using OutputLayer = AffineTransform<HiddenLayer2, 1>;
Layers::AffineTransform<TransformedFeatureDimensions, FC_0_OUTPUTS + 1> fc_0;
Layers::SqrClippedReLU<FC_0_OUTPUTS + 1> ac_sqr_0;
Layers::ClippedReLU<FC_0_OUTPUTS + 1> ac_0;
Layers::AffineTransform<FC_0_OUTPUTS * 2, FC_1_OUTPUTS> fc_1;
Layers::ClippedReLU<FC_1_OUTPUTS> ac_1;
Layers::AffineTransform<FC_1_OUTPUTS, 1> fc_2;
} // namespace Layers
// 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;
using Network = Layers::OutputLayer;
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);
static_assert(TransformedFeatureDimensions % MaxSimdWidth == 0, "");
static_assert(Network::OutputDimensions == 1, "");
static_assert(std::is_same<Network::OutputType, std::int32_t>::value, "");
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_sqr_0)::OutputType ac_sqr_0_out[ceil_to_multiple<IndexType>(FC_0_OUTPUTS * 2, 32)];
alignas(CacheLineSize) decltype(ac_0)::OutputBuffer ac_0_out;
alignas(CacheLineSize) decltype(fc_1)::OutputBuffer fc_1_out;
alignas(CacheLineSize) decltype(ac_1)::OutputBuffer ac_1_out;
alignas(CacheLineSize) decltype(fc_2)::OutputBuffer fc_2_out;
Buffer()
{
std::memset(this, 0, sizeof(*this));
}
};
#if defined(__clang__) && (__APPLE__)
// workaround for a bug reported with xcode 12
static thread_local auto tlsBuffer = std::make_unique<Buffer>();
// Access TLS only once, cache result.
Buffer& buffer = *tlsBuffer;
#else
alignas(CacheLineSize) static thread_local Buffer buffer;
#endif
fc_0.propagate(transformedFeatures, buffer.fc_0_out);
ac_sqr_0.propagate(buffer.fc_0_out, buffer.ac_sqr_0_out);
ac_0.propagate(buffer.fc_0_out, buffer.ac_0_out);
std::memcpy(buffer.ac_sqr_0_out + FC_0_OUTPUTS, buffer.ac_0_out, FC_0_OUTPUTS * sizeof(decltype(ac_0)::OutputType));
fc_1.propagate(buffer.ac_sqr_0_out, buffer.fc_1_out);
ac_1.propagate(buffer.fc_1_out, buffer.ac_1_out);
fc_2.propagate(buffer.ac_1_out, buffer.fc_2_out);
// buffer.fc_0_out[FC_0_OUTPUTS] is such that 1.0 is equal to 127*(1<<WeightScaleBits) in quantized form
// but we want 1.0 to be equal to 600*OutputScale
std::int32_t fwdOut = int(buffer.fc_0_out[FC_0_OUTPUTS]) * (600*OutputScale) / (127*(1<<WeightScaleBits));
std::int32_t outputValue = buffer.fc_2_out[0] + fwdOut;
return outputValue;
}
};
} // namespace Stockfish::Eval::NNUE
+4 -4
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -111,7 +111,7 @@ namespace Stockfish::Eval::NNUE {
// write_little_endian() is our utility to write an integer (signed or unsigned, any size)
// to a stream in little-endian order. We swap the byte order before the write if
// necessary to always write in little endian order, independantly of the byte
// 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) {
@@ -129,11 +129,11 @@ namespace Stockfish::Eval::NNUE {
{
for (; i + 1 < sizeof(IntType); ++i)
{
u[i] = v;
u[i] = (std::uint8_t)v;
v >>= 8;
}
}
u[i] = v;
u[i] = (std::uint8_t)v;
stream.write(reinterpret_cast<char*>(u), sizeof(IntType));
}
+102 -129
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -50,12 +50,22 @@ namespace Stockfish::Eval::NNUE {
#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;
@@ -64,12 +74,22 @@ namespace Stockfish::Eval::NNUE {
#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;
@@ -78,12 +98,19 @@ namespace Stockfish::Eval::NNUE {
#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;
@@ -92,12 +119,26 @@ namespace Stockfish::Eval::NNUE {
#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;
@@ -106,12 +147,24 @@ namespace Stockfish::Eval::NNUE {
#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
@@ -126,8 +179,10 @@ namespace Stockfish::Eval::NNUE {
// 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,
@@ -159,9 +214,9 @@ namespace Stockfish::Eval::NNUE {
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
@@ -186,7 +241,7 @@ namespace Stockfish::Eval::NNUE {
// Number of input/output dimensions
static constexpr IndexType InputDimensions = FeatureSet::Dimensions;
static constexpr IndexType OutputDimensions = HalfDimensions * 2;
static constexpr IndexType OutputDimensions = HalfDimensions;
// Size of forward propagation buffer
static constexpr std::size_t BufferSize =
@@ -194,7 +249,7 @@ namespace Stockfish::Eval::NNUE {
// Hash value embedded in the evaluation file
static constexpr std::uint32_t get_hash_value() {
return FeatureSet::HashValue ^ OutputDimensions;
return FeatureSet::HashValue ^ (OutputDimensions * 2);
}
// Read network parameters
@@ -232,136 +287,55 @@ namespace Stockfish::Eval::NNUE {
) / 2;
#if defined(USE_AVX512)
constexpr IndexType NumChunks = HalfDimensions / (SimdWidth * 2);
static_assert(HalfDimensions % (SimdWidth * 2) == 0);
const __m512i Control = _mm512_setr_epi64(0, 2, 4, 6, 1, 3, 5, 7);
const __m512i Zero = _mm512_setzero_si512();
for (IndexType p = 0; p < 2; ++p)
{
const IndexType offset = HalfDimensions * p;
auto out = reinterpret_cast<__m512i*>(&output[offset]);
for (IndexType j = 0; j < NumChunks; ++j)
const IndexType offset = (HalfDimensions / 2) * p;
#if defined(VECTOR)
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)
{
__m512i sum0 = _mm512_load_si512(&reinterpret_cast<const __m512i*>
(accumulation[perspectives[p]])[j * 2 + 0]);
__m512i sum1 = _mm512_load_si512(&reinterpret_cast<const __m512i*>
(accumulation[perspectives[p]])[j * 2 + 1]);
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);
_mm512_store_si512(&out[j], _mm512_permutexvar_epi64(Control,
_mm512_max_epi8(_mm512_packs_epi16(sum0, sum1), 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);
}
}
return psqt;
#elif defined(USE_AVX2)
#else
constexpr IndexType NumChunks = HalfDimensions / SimdWidth;
constexpr int Control = 0b11011000;
const __m256i Zero = _mm256_setzero_si256();
for (IndexType p = 0; p < 2; ++p)
{
const IndexType offset = HalfDimensions * p;
auto out = reinterpret_cast<__m256i*>(&output[offset]);
for (IndexType j = 0; j < NumChunks; ++j)
{
__m256i sum0 = _mm256_load_si256(&reinterpret_cast<const __m256i*>
(accumulation[perspectives[p]])[j * 2 + 0]);
__m256i sum1 = _mm256_load_si256(&reinterpret_cast<const __m256i*>
(accumulation[perspectives[p]])[j * 2 + 1]);
_mm256_store_si256(&out[j], _mm256_permute4x64_epi64(
_mm256_max_epi8(_mm256_packs_epi16(sum0, sum1), Zero), Control));
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;
#elif defined(USE_SSE2)
#ifdef USE_SSE41
constexpr IndexType NumChunks = HalfDimensions / SimdWidth;
const __m128i Zero = _mm_setzero_si128();
#else
constexpr IndexType NumChunks = HalfDimensions / SimdWidth;
const __m128i k0x80s = _mm_set1_epi8(-128);
#endif
for (IndexType p = 0; p < 2; ++p)
{
const IndexType offset = HalfDimensions * p;
auto out = reinterpret_cast<__m128i*>(&output[offset]);
for (IndexType j = 0; j < NumChunks; ++j)
{
__m128i sum0 = _mm_load_si128(&reinterpret_cast<const __m128i*>
(accumulation[perspectives[p]])[j * 2 + 0]);
__m128i sum1 = _mm_load_si128(&reinterpret_cast<const __m128i*>
(accumulation[perspectives[p]])[j * 2 + 1]);
const __m128i packedbytes = _mm_packs_epi16(sum0, sum1);
#ifdef USE_SSE41
_mm_store_si128(&out[j], _mm_max_epi8(packedbytes, Zero));
#else
_mm_store_si128(&out[j], _mm_subs_epi8(_mm_adds_epi8(packedbytes, k0x80s), k0x80s));
#endif
}
}
return psqt;
#elif defined(USE_MMX)
constexpr IndexType NumChunks = HalfDimensions / SimdWidth;
const __m64 k0x80s = _mm_set1_pi8(-128);
for (IndexType p = 0; p < 2; ++p)
{
const IndexType offset = HalfDimensions * p;
auto out = reinterpret_cast<__m64*>(&output[offset]);
for (IndexType j = 0; j < NumChunks; ++j)
{
__m64 sum0 = *(&reinterpret_cast<const __m64*>(accumulation[perspectives[p]])[j * 2 + 0]);
__m64 sum1 = *(&reinterpret_cast<const __m64*>(accumulation[perspectives[p]])[j * 2 + 1]);
const __m64 packedbytes = _mm_packs_pi16(sum0, sum1);
out[j] = _mm_subs_pi8(_mm_adds_pi8(packedbytes, k0x80s), k0x80s);
}
}
_mm_empty();
return psqt;
#elif defined(USE_NEON)
constexpr IndexType NumChunks = HalfDimensions / (SimdWidth / 2);
const int8x8_t Zero = {0};
for (IndexType p = 0; p < 2; ++p)
{
const IndexType offset = HalfDimensions * p;
const auto out = reinterpret_cast<int8x8_t*>(&output[offset]);
for (IndexType j = 0; j < NumChunks; ++j)
{
int16x8_t sum = reinterpret_cast<const int16x8_t*>(accumulation[perspectives[p]])[j];
out[j] = vmax_s8(vqmovn_s16(sum), Zero);
}
}
return psqt;
#else
for (IndexType p = 0; p < 2; ++p)
{
const IndexType offset = HalfDimensions * p;
for (IndexType j = 0; j < HalfDimensions; ++j)
{
BiasType sum = accumulation[perspectives[p]][j];
output[offset + j] = static_cast<OutputType>(std::max<int>(0, std::min<int>(127, sum)));
}
}
return psqt;
#endif
} // end of function transform()
@@ -373,7 +347,6 @@ namespace Stockfish::Eval::NNUE {
// That might depend on the feature set and generally relies on the
// feature set's update cost calculation to be correct and never
// allow updates with more added/removed features than MaxActiveDimensions.
using IndexList = ValueList<IndexType, FeatureSet::MaxActiveDimensions>;
#ifdef VECTOR
// Gcc-10.2 unnecessarily spills AVX2 registers if this array
@@ -407,12 +380,12 @@ namespace Stockfish::Eval::NNUE {
// Gather all features to be updated.
const Square ksq = pos.square<KING>(perspective);
IndexList removed[2], added[2];
FeatureSet::IndexList removed[2], added[2];
FeatureSet::append_changed_indices(
ksq, next, perspective, removed[0], added[0]);
ksq, next->dirtyPiece, perspective, removed[0], added[0]);
for (StateInfo *st2 = pos.state(); st2 != next; st2 = st2->previous)
FeatureSet::append_changed_indices(
ksq, st2, perspective, removed[1], added[1]);
ksq, st2->dirtyPiece, perspective, removed[1], added[1]);
// Mark the accumulators as computed.
next->accumulator.computed[perspective] = true;
@@ -537,7 +510,7 @@ namespace Stockfish::Eval::NNUE {
// Refresh the accumulator
auto& accumulator = pos.state()->accumulator;
accumulator.computed[perspective] = true;
IndexList active;
FeatureSet::IndexList active;
FeatureSet::append_active_indices(pos, perspective, active);
#ifdef VECTOR
+20 -20
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -32,30 +32,30 @@ namespace {
#define S(mg, eg) make_score(mg, eg)
// Pawn penalties
constexpr Score Backward = S( 9, 22);
constexpr Score Doubled = S(13, 51);
constexpr Score DoubledEarly = S(20, 7);
constexpr Score Isolated = S( 3, 15);
constexpr Score WeakLever = S( 4, 58);
constexpr Score WeakUnopposed = S(13, 24);
constexpr Score Backward = S( 6, 19);
constexpr Score Doubled = S(11, 51);
constexpr Score DoubledEarly = S(17, 7);
constexpr Score Isolated = S( 1, 20);
constexpr Score WeakLever = S( 2, 57);
constexpr Score WeakUnopposed = S(15, 18);
// Bonus for blocked pawns at 5th or 6th rank
constexpr Score BlockedPawn[2] = { S(-17, -6), S(-9, 2) };
constexpr Score BlockedPawn[2] = { S(-19, -8), S(-7, 3) };
constexpr Score BlockedStorm[RANK_NB] = {
S(0, 0), S(0, 0), S(75, 78), S(-8, 16), S(-6, 10), S(-6, 6), S(0, 2)
S(0, 0), S(0, 0), S(64, 75), S(-3, 14), S(-12, 19), S(-7, 4), S(-10, 5)
};
// Connected pawn bonus
constexpr int Connected[RANK_NB] = { 0, 5, 7, 11, 23, 48, 87 };
constexpr int Connected[RANK_NB] = { 0, 3, 7, 7, 15, 54, 86 };
// Strength of pawn shelter for our king by [distance from edge][rank].
// RANK_1 = 0 is used for files where we have no pawn, or pawn is behind our king.
constexpr Value ShelterStrength[int(FILE_NB) / 2][RANK_NB] = {
{ V( -5), V( 82), V( 92), V( 54), V( 36), V( 22), V( 28) },
{ V(-44), V( 63), V( 33), V(-50), V(-30), V(-12), V( -62) },
{ V(-11), V( 77), V( 22), V( -6), V( 31), V( 8), V( -45) },
{ V(-39), V(-12), V(-29), V(-50), V(-43), V(-68), V(-164) }
{ V(-2), V(85), V(95), V(53), V(39), V(23), V(25) },
{ V(-55), V(64), V(32), V(-55), V(-30), V(-11), V(-61) },
{ V(-11), V(75), V(19), V(-6), V(26), V(9), V(-47) },
{ V(-41), V(-11), V(-27), V(-58), V(-42), V(-66), V(-163) }
};
// Danger of enemy pawns moving toward our king by [distance from edge][rank].
@@ -63,17 +63,17 @@ namespace {
// is behind our king. Note that UnblockedStorm[0][1-2] accommodate opponent pawn
// on edge, likely blocked by our king.
constexpr Value UnblockedStorm[int(FILE_NB) / 2][RANK_NB] = {
{ V( 87), V(-288), V(-168), V( 96), V( 47), V( 44), V( 46) },
{ V( 42), V( -25), V( 120), V( 45), V( 34), V( -9), V( 24) },
{ V( -8), V( 51), V( 167), V( 35), V( -4), V(-16), V(-12) },
{ V(-17), V( -13), V( 100), V( 4), V( 9), V(-16), V(-31) }
{ V(94), V(-280), V(-170), V(90), V(59), V(47), V(53) },
{ V(43), V(-17), V(128), V(39), V(26), V(-17), V(15) },
{ V(-9), V(62), V(170), V(34), V(-5), V(-20), V(-11) },
{ V(-27), V(-19), V(106), V(10), V(2), V(-13), V(-24) }
};
// KingOnFile[semi-open Us][semi-open Them] contains bonuses/penalties
// for king when the king is on a semi-open or open file.
constexpr Score KingOnFile[2][2] = {{ S(-21,10), S(-7, 1) },
{ S( 0,-3), S( 9,-4) }};
constexpr Score KingOnFile[2][2] = {{ S(-18,11), S(-6,-3) },
{ S( 0, 0), S( 5,-4) }};
#undef S
#undef V
+1 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
+2 -2
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -1019,9 +1019,9 @@ void Position::do_null_move(StateInfo& newSt) {
}
st->key ^= Zobrist::side;
++st->rule50;
prefetch(TT.first_entry(key()));
++st->rule50;
st->pliesFromNull = 0;
sideToMove = ~sideToMove;
+18 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -123,6 +123,7 @@ public:
Bitboard attackers_to(Square s) const;
Bitboard attackers_to(Square s, Bitboard occupied) const;
Bitboard slider_blockers(Bitboard sliders, Square s, Bitboard& pinners) const;
template<PieceType Pt> Bitboard attacks_by(Color c) const;
// Properties of moves
bool legal(Move m) const;
@@ -312,6 +313,22 @@ inline Bitboard Position::attackers_to(Square s) const {
return attackers_to(s, pieces());
}
template<PieceType Pt>
inline Bitboard Position::attacks_by(Color c) const {
if constexpr (Pt == PAWN)
return c == WHITE ? pawn_attacks_bb<WHITE>(pieces(WHITE, PAWN))
: pawn_attacks_bb<BLACK>(pieces(BLACK, PAWN));
else
{
Bitboard threats = 0;
Bitboard attackers = pieces(c, Pt);
while (attackers)
threats |= attacks_bb<Pt>(pop_lsb(attackers), pieces());
return threats;
}
}
inline Bitboard Position::checkers() const {
return st->checkersBB;
}
+1 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
+1 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
+341 -295
View File
File diff suppressed because it is too large Load Diff
+3 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -55,6 +55,7 @@ struct Stack {
bool ttPv;
bool ttHit;
int doubleExtensions;
int cutoffCnt;
};
@@ -74,6 +75,7 @@ struct RootMove {
Value score = -VALUE_INFINITE;
Value previousScore = -VALUE_INFINITE;
Value averageScore = -VALUE_INFINITE;
int selDepth = 0;
int tbRank = 0;
Value tbScore;
+387
View File
@@ -0,0 +1,387 @@
/*
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
+12 -12
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -769,7 +769,7 @@ Ret do_probe_table(const Position& pos, T* entry, WDLScore wdl, ProbeState* resu
goto encode_remaining; // With pawns we have finished special treatments
}
// In positions withouth pawns, we further flip the squares to ensure leading
// In positions without pawns, we further flip the squares to ensure leading
// piece is below RANK_5.
if (rank_of(squares[0]) > RANK_4)
for (int i = 0; i < size; ++i)
@@ -812,7 +812,7 @@ 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
// swapped and still get the same position.)
//
// In case we have at least 3 unique pieces (inlcuded kings) we encode them
// In case we have at least 3 unique pieces (included kings) we encode them
// together.
if (entry->hasUniquePieces) {
@@ -827,7 +827,7 @@ Ret do_probe_table(const Position& pos, T* entry, WDLScore wdl, ProbeState* resu
+ (squares[1] - adjust1)) * 62
+ squares[2] - adjust2;
// First piece is on a1-h8 diagonal, second below: map this occurence to
// First piece is on a1-h8 diagonal, second below: map this occurrence to
// 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.
else if (off_A1H8(squares[1]))
@@ -857,7 +857,7 @@ encode_remaining:
idx *= d->groupIdx[0];
Square* groupSq = squares + d->groupLen[0];
// Encode remainig pawns then pieces according to square, in ascending order
// Encode remaining pawns then pieces according to square, in ascending order
bool remainingPawns = entry->hasPawns && entry->pawnCount[1];
while (d->groupLen[++next])
@@ -885,7 +885,7 @@ encode_remaining:
// 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
// group that, in case of positions withouth pawns, can be formed by 3 different
// group that, in case of positions without pawns, can be formed by 3 different
// 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[].
//
@@ -917,7 +917,7 @@ void set_groups(T& e, PairsData* d, int order[], File f) {
//
// 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
// pawns/pieces -> remainig pawns -> remaining pieces. In particular the
// pawns/pieces -> remaining pawns -> remaining pieces. In particular the
// first group is at order[0] position and the remaining pawns, when present,
// are at order[1] position.
bool pp = e.hasPawns && e.pawnCount[1]; // Pawns on both sides
@@ -937,7 +937,7 @@ void set_groups(T& e, PairsData* d, int order[], File f) {
d->groupIdx[1] = idx;
idx *= Binomial[d->groupLen[1]][48 - d->groupLen[0]];
}
else // Remainig pieces
else // Remaining pieces
{
d->groupIdx[next] = idx;
idx *= Binomial[d->groupLen[next]][freeSquares];
@@ -947,7 +947,7 @@ void set_groups(T& e, PairsData* d, int order[], File f) {
d->groupIdx[n] = idx;
}
// In Recursive Pairing each symbol represents a pair of childern symbols. So
// In Recursive Pairing each symbol represents a pair of children symbols. So
// 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.
uint8_t set_symlen(PairsData* d, Sym s, std::vector<bool>& visited) {
@@ -1290,7 +1290,7 @@ void Tablebases::init(const std::string& paths) {
for (auto s : diagonal)
MapA1D1D4[s] = code++;
// MapKK[] encodes all the 461 possible legal positions of two kings where
// MapKK[] encodes all the 462 possible legal positions of two kings where
// the first is in the a1-d1-d4 triangle. If the first king is on the a1-d4
// diagonal, the other one shall not to be above the a1-h8 diagonal.
std::vector<std::pair<int, Square>> bothOnDiagonal;
@@ -1317,7 +1317,7 @@ void Tablebases::init(const std::string& paths) {
for (auto p : bothOnDiagonal)
MapKK[p.first][p.second] = code++;
// Binomial[] stores the Binomial Coefficents using Pascal rule. There
// Binomial[] stores the Binomial Coefficients using Pascal rule. There
// are Binomial[k][n] ways to choose k elements from a set of n elements.
Binomial[0][0] = 1;
@@ -1337,7 +1337,7 @@ void Tablebases::init(const std::string& paths) {
for (int leadPawnsCnt = 1; leadPawnsCnt <= 5; ++leadPawnsCnt)
for (File f = FILE_A; f <= FILE_D; ++f)
{
// Restart the index at every file because TB table is splitted
// Restart the index at every file because TB table is split
// by file, so we can reuse the same index for different files.
int idx = 0;
+2 -2
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -38,7 +38,7 @@ enum WDLScore {
// Possible states after a probing operation
enum ProbeState {
FAIL = 0, // Probe failed (missing file table)
OK = 1, // Probe succesful
OK = 1, // Probe successful
CHANGE_STM = -1, // DTZ should check the other side
ZEROING_BEST_MOVE = 2 // Best move zeroes DTZ (capture or pawn move)
};
+4 -3
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -60,15 +60,15 @@ void Thread::clear() {
counterMoves.fill(MOVE_NONE);
mainHistory.fill(0);
lowPlyHistory.fill(0);
captureHistory.fill(0);
previousDepth = 0;
for (bool inCheck : { false, true })
for (StatsType c : { NoCaptures, Captures })
{
for (auto& to : continuationHistory[inCheck][c])
for (auto& h : to)
h->fill(0);
h->fill(-71);
continuationHistory[inCheck][c][NO_PIECE][0]->fill(Search::CounterMovePruneThreshold - 1);
}
}
@@ -187,6 +187,7 @@ void ThreadPool::clear() {
main()->callsCnt = 0;
main()->bestPreviousScore = VALUE_INFINITE;
main()->bestPreviousAverageScore = VALUE_INFINITE;
main()->previousTimeReduction = 1.0;
}
+7 -5
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -88,19 +88,20 @@ public:
Pawns::Table pawnsTable;
Material::Table materialTable;
size_t pvIdx, pvLast;
uint64_t ttHitAverage;
RunningAverage complexityAverage;
std::atomic<uint64_t> nodes, tbHits, bestMoveChanges;
int selDepth, nmpMinPly;
Color nmpColor;
std::atomic<uint64_t> nodes, tbHits, bestMoveChanges;
Value bestValue, optimism[COLOR_NB];
uint64_t maxNodes;
Position rootPos;
StateInfo rootState;
Search::RootMoves rootMoves;
Depth rootDepth, completedDepth;
Depth rootDepth, completedDepth, depth, previousDepth;
Value rootDelta;
CounterMoveHistory counterMoves;
ButterflyHistory mainHistory;
LowPlyHistory lowPlyHistory;
CapturePieceToHistory captureHistory;
ContinuationHistory continuationHistory[2][2];
Score trend;
@@ -123,6 +124,7 @@ struct MainThread : public Thread {
double previousTimeReduction;
Value bestPreviousScore;
Value bestPreviousAverageScore;
Value iterValue[4];
int callsCnt;
bool stopOnPonderhit;
+1 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
+8 -4
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -68,6 +68,9 @@ void TimeManagement::init(Search::LimitsType& limits, Color us, int ply) {
TimePoint timeLeft = std::max(TimePoint(1),
limits.time[us] + limits.inc[us] * (mtg - 1) - moveOverhead * (2 + mtg));
// Use extra time with larger increments
double optExtra = std::clamp(1.0 + 12.0 * limits.inc[us] / limits.time[us], 1.0, 1.12);
// A user may scale time usage by setting UCI option "Slow Mover"
// Default is 100 and changing this value will probably lose elo.
timeLeft = slowMover * timeLeft / 100;
@@ -78,15 +81,16 @@ void TimeManagement::init(Search::LimitsType& limits, Color us, int ply) {
if (limits.movestogo == 0)
{
optScale = std::min(0.0084 + std::pow(ply + 3.0, 0.5) * 0.0042,
0.2 * limits.time[us] / double(timeLeft));
0.2 * limits.time[us] / double(timeLeft))
* optExtra;
maxScale = std::min(7.0, 4.0 + ply / 12.0);
}
// x moves in y seconds (+ z increment)
else
{
optScale = std::min((0.8 + ply / 128.0) / mtg,
0.8 * limits.time[us] / double(timeLeft));
optScale = std::min((0.88 + ply / 116.4) / mtg,
0.88 * limits.time[us] / double(timeLeft));
maxScale = std::min(6.3, 1.5 + 0.11 * mtg);
}
+1 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
+3 -3
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -45,9 +45,9 @@ void TTEntry::save(Key k, Value v, bool pv, Bound b, Depth d, Move m, Value ev)
move16 = (uint16_t)m;
// Overwrite less valuable entries (cheapest checks first)
if (b == BOUND_EXACT
if ( b == BOUND_EXACT
|| (uint16_t)k != key16
|| d - DEPTH_OFFSET > depth8 - 4)
|| d - DEPTH_OFFSET + 2 * pv > depth8 - 4)
{
assert(d > DEPTH_OFFSET);
assert(d < 256 + DEPTH_OFFSET);
+1 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
+1 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
+2 -2
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -84,7 +84,7 @@ class Tune {
static Tune& instance() { static Tune t; return t; } // Singleton
// Use polymorphism to accomodate Entry of different types in the same vector
// Use polymorphism to accommodate Entry of different types in the same vector
struct EntryBase {
virtual ~EntryBase() = default;
virtual void init_option() = 0;
+2 -6
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -457,7 +457,7 @@ constexpr Square rotate180(Square sq) {
}
constexpr int from_to(Move m) {
return m & 0xFFF;
return m & 0xFFF;
}
constexpr MoveType type_of(Move m) {
@@ -472,10 +472,6 @@ constexpr Move make_move(Square from, Square to) {
return Move((from << 6) + to);
}
constexpr Move reverse_move(Move m) {
return make_move(to_sq(m), from_sq(m));
}
template<MoveType T>
constexpr Move make(Square from, Square to, PieceType pt = KNIGHT) {
return Move(T + ((pt - KNIGHT) << 12) + (from << 6) + to);
+10 -4
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -220,8 +220,8 @@ namespace UCI {
// Coefficients of a 3rd order polynomial fit based on fishtest data
// for two parameters needed to transform eval to the argument of a
// logistic function.
double as[] = {-3.68389304, 30.07065921, -60.52878723, 149.53378557};
double bs[] = {-2.0181857, 15.85685038, -29.83452023, 47.59078827};
double as[] = {-1.17202460e-01, 5.94729104e-01, 1.12065546e+01, 1.22606222e+02};
double bs[] = {-1.79066759, 11.30759193, -17.43677612, 36.47147479};
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];
@@ -380,8 +380,14 @@ void UCI::loop(int argc, char* argv[]) {
std::cout << th.id() << '\n';
});
}
else if (token == "--help" || token == "help" || token == "--license" || token == "license")
sync_cout << "\nStockfish is a powerful chess engine and free software licensed under the GNU GPLv3."
"\nStockfish is normally used with a separate graphical user interface (GUI)."
"\nStockfish implements the universal chess interface (UCI) to exchange information."
"\nFor further information see https://github.com/official-stockfish/Stockfish#readme"
"\nor the corresponding README.md and Copying.txt files distributed with this program.\n" << sync_endl;
else if (!token.empty() && token[0] != '#')
sync_cout << "Unknown command: " << cmd << sync_endl;
sync_cout << "Unknown command: '" << cmd << "'. Type help for more information." << sync_endl;
} while (token != "quit" && argc == 1); // Command line args are one-shot
}
+1 -1
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
+2 -2
View File
@@ -1,6 +1,6 @@
/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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
@@ -185,7 +185,7 @@ Option& Option::operator=(const string& v) {
assert(!type.empty());
if ( (type != "button" && v.empty())
if ( (type != "button" && type != "string" && v.empty())
|| (type == "check" && v != "true" && v != "false")
|| (type == "spin" && (stof(v) < min || stof(v) > max)))
return *this;
+1 -1
View File
@@ -43,7 +43,7 @@ cat << EOF > repeat.exp
expect eof
EOF
# to increase the likelyhood of finding a non-reproducible case,
# to increase the likelihood of finding a non-reproducible case,
# the allowed number of nodes are varied systematically
for i in `seq 1 20`
do