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stockfish of the neural network
If someone wants to try Stockfish with the nnue neural network, which was built in instead of the usual evaluation function, then I have collected a special archive. It contains only the most necessary and up-to-date files. Download and unpack at the link below. For AMD Ryzen processors, you need to run the avx2 file, and for not too old Intel processors, the bmi2 file. For other Protsiv alas, nothing yet. But even for these processors, it is not a fact that it will work.
The level of the game in the area of the usual Stockfish 10-11. Maybe even beyond these borders-the results of testers vary greatly. It is possible that they may depend on a specific processor model. The speed of the new version of the drain is almost half that of the usual One. For engine matches, we recommend setting the Slow Mover parameter to 42 or 60 in the settings.
Try and check:
https://dropmefiles.com/VxrkL[/quote]
from dear Rom 77[/quote]
If someone wants to try Stockfish with the nnue neural network, which was built in instead of the usual evaluation function, then I have collected a special archive. It contains only the most necessary and up-to-date files. Download and unpack at the link below. For AMD Ryzen processors, you need to run the avx2 file, and for not too old Intel processors, the bmi2 file. For other Protsiv alas, nothing yet. But even for these processors, it is not a fact that it will work.
The level of the game in the area of the usual Stockfish 10-11. Maybe even beyond these borders-the results of testers vary greatly. It is possible that they may depend on a specific processor model. The speed of the new version of the drain is almost half that of the usual One. For engine matches, we recommend setting the Slow Mover parameter to 42 or 60 in the settings.
Try and check:
https://dropmefiles.com/VxrkL[/quote]
from dear Rom 77[/quote]
manned, ful, faters and im48 like this post
create the eval folder and move the network there
https://cdn.discordapp.com/attachments/724700045525647420/728697754154565642/0307M_t1.7z
https://cdn.discordapp.com/attachments/724700045525647420/728697754154565642/0307M_t1.7z
mcdiniz, manned, faters, x4fun and n0c like this post
Yes, and the network needs to be renamed nn.bin, you need to run the isready command through the console to load the network.
faters likes this post
SF-NNUE 07-07-2020
recycle network load
(loads the network via ucinewgame () instead of isready ())
"Nn.bin" is the default, but no longer hard-coded,
that is, now it can accept any file name through the UCI "EvalFile" option
(view file system)
the archive contains much faster popcnt executables (with sse4.1 support)
https://github.com/FireFather/sf-nnue/releases
recycle network load
(loads the network via ucinewgame () instead of isready ())
"Nn.bin" is the default, but no longer hard-coded,
that is, now it can accept any file name through the UCI "EvalFile" option
(view file system)
the archive contains much faster popcnt executables (with sse4.1 support)
https://github.com/FireFather/sf-nnue/releases
faters likes this post
Gekkehenker 2020-06-27 - this is the latest current network at the moment
https://dropmefiles.com/kMcWJ
https://dropmefiles.com/kMcWJ
faters likes this post
download and install it as a normal engine,and everything is ready to use.Network inside .This is a very powerful engine with a network. enter the isready command in the console. It must be so
https://workupload.com/file/ggEUrvNVgmH
https://workupload.com/file/ggEUrvNVgmH
faters, x4fun and im48 like this post
Thanks !
Ready to use+Network inside ...... This is the first time I've had the nn.bin load !
Ready to use+Network inside ...... This is the first time I've had the nn.bin load !
faters likes this post
Intel Core i5-7600K, 4.20 GHz, Threads:3, Gui:Fritz-11, Games:100, Time:3+1, Book:Off, Endgame tables:Off, Hash:128 MB, Ponder:Off.
https://dropmefiles.com/OjEqR
faters and im48 like this post
Android version SF_nnue_armv8_api24
https://dropmefiles.com/d9pdy
Download the network, rename to nn.bin. And specify the full path in the engine parameter. If everything is done correctly, then the score in the starting position will not be zero.
https://dropmefiles.com/Nm4MP - Video instruction
https://www.comp.nus.edu.sg/~sergio-v/nnue/ - Here are the nets
https://dropmefiles.com/d9pdy
Download the network, rename to nn.bin. And specify the full path in the engine parameter. If everything is done correctly, then the score in the starting position will not be zero.
https://dropmefiles.com/Nm4MP - Video instruction
https://www.comp.nus.edu.sg/~sergio-v/nnue/ - Here are the nets
denochss and Hans Obermeier like this post
stockfish-NNUE-flto-avx512.exe- https://cdn.discordapp.com/attachments/724700045525647420/740257384290582588/stockfish-NNUE-flto-avx512.exe
stockfish-NNUE-flto-bmi2.exe- https://cdn.discordapp.com/attachments/724700045525647420/740257415534215260/stockfish-NNUE-flto-bmi2.exe
stockfish-NNUE-flto-bmi2.exe- https://cdn.discordapp.com/attachments/724700045525647420/740257415534215260/stockfish-NNUE-flto-bmi2.exe
x4fun likes this post
https://abrok.eu/stockfish/
That's it. There is no more division into Stockfish_Classical and Stockfish_NUE - there is one Stockfish.
That's it. There is no more division into Stockfish_Classical and Stockfish_NUE - there is one Stockfish.
Processor:Intel Core i5-7600K, GHz:4.20 , Сore:1, Gui:Fritz-11, Games:100, Time:10sec+1sec, Book:Off, Endgame tables:Syzygy 3-4-5, Hash:128 MB, Ponder:Off.
Games-
https://pixeldrain.com/u/5s6NvftK
seems they are all same power
________________
Ch355 2 u m3mb3r WALDEMAR...g00d g4m3 f0r 4ll...y4h000000!
I've been doing these tests for a long time. Test the first networks and the last ones yourself and see the difference.
Author: SFisGOD
Date: Wed Oct 28 08:13:34 2020 +0100
Timestamp: 1603869214
Update default net to nn-2eb2e0707c2b.nnue
Optimization of the net weights of the 32 x 32 layer (1024 parameters) and net biases of the 512 x 32 layer (32 parameters) using SPSA.
Tuning of 32 x 32 Layer (800,000 games, 5 seconds time control):
https://tests.stockfishchess.org/tests/view/5f942040d3978d7e86f1aa05
Tuning of 512 x 32 Layer (80,000 games, 20 seconds time control):
https://tests.stockfishchess.org/tests/view/5f8f926d2c92c7fe3a8c608b
STC:
LLR: 2.96 (-2.94,2.94) {-0.25,1.25}
Total: 17336 W: 1918 L: 1754 D: 13664 Elo +3.29
Ptnml(0-2): 79, 1344, 5672, 1480, 93
https://tests.stockfishchess.org/tests/view/5f9882346a2c112b60691b34
LTC:
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 37304 W: 1822 L: 1651 D: 33831 Elo +1.59
Ptnml(0-2): 27, 1461, 15501, 1640, 23
https://tests.stockfishchess.org/tests/view/5f98a4b36a2c112b60691b40
closes https://github.com/official-stockfish/Stockfish/pull/3201
Bench: 3403528
https://abrok.eu/stockfish/
Date: Wed Oct 28 08:13:34 2020 +0100
Timestamp: 1603869214
Update default net to nn-2eb2e0707c2b.nnue
Optimization of the net weights of the 32 x 32 layer (1024 parameters) and net biases of the 512 x 32 layer (32 parameters) using SPSA.
Tuning of 32 x 32 Layer (800,000 games, 5 seconds time control):
https://tests.stockfishchess.org/tests/view/5f942040d3978d7e86f1aa05
Tuning of 512 x 32 Layer (80,000 games, 20 seconds time control):
https://tests.stockfishchess.org/tests/view/5f8f926d2c92c7fe3a8c608b
STC:
LLR: 2.96 (-2.94,2.94) {-0.25,1.25}
Total: 17336 W: 1918 L: 1754 D: 13664 Elo +3.29
Ptnml(0-2): 79, 1344, 5672, 1480, 93
https://tests.stockfishchess.org/tests/view/5f9882346a2c112b60691b34
LTC:
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 37304 W: 1822 L: 1651 D: 33831 Elo +1.59
Ptnml(0-2): 27, 1461, 15501, 1640, 23
https://tests.stockfishchess.org/tests/view/5f98a4b36a2c112b60691b40
closes https://github.com/official-stockfish/Stockfish/pull/3201
Bench: 3403528
https://abrok.eu/stockfish/
denochss likes this post
Author: mstembera
Date: Sun Nov 1 08:02:40 2020 +0100
Timestamp: 1604214160
Update default net to nn-cb26f10b1fd9.nnue
Result of https://tests.stockfishchess.org/tests/view/5f9a06796a2c112b60691c0f tuning.
STC
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 53712 W: 5776 L: 5561 D: 42375 Elo +1.39
Ptnml(0-2): 253, 4282, 17604, 4431, 286
https://tests.stockfishchess.org/tests/view/5f9c7bbc6a2c112b60691d4d
LTC
LLR: 2.97 (-2.94,2.94) {0.25,1.25}
Total: 80184 W: 4007 L: 3739 D: 72438 Elo +1.16
Ptnml(0-2): 58, 3302, 33130, 3518, 84
https://tests.stockfishchess.org/tests/view/5f9d01f06a2c112b60691d87
closes https://github.com/official-stockfish/Stockfish/pull/3209
bench: 3517795
https://abrok.eu/stockfish/
Date: Sun Nov 1 08:02:40 2020 +0100
Timestamp: 1604214160
Update default net to nn-cb26f10b1fd9.nnue
Result of https://tests.stockfishchess.org/tests/view/5f9a06796a2c112b60691c0f tuning.
STC
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 53712 W: 5776 L: 5561 D: 42375 Elo +1.39
Ptnml(0-2): 253, 4282, 17604, 4431, 286
https://tests.stockfishchess.org/tests/view/5f9c7bbc6a2c112b60691d4d
LTC
LLR: 2.97 (-2.94,2.94) {0.25,1.25}
Total: 80184 W: 4007 L: 3739 D: 72438 Elo +1.16
Ptnml(0-2): 58, 3302, 33130, 3518, 84
https://tests.stockfishchess.org/tests/view/5f9d01f06a2c112b60691d87
closes https://github.com/official-stockfish/Stockfish/pull/3209
bench: 3517795
https://abrok.eu/stockfish/
acemi likes this post
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