Stockfish 12

@lisandr wrote:

Stockfish 12 of course what else. There is a Stockfish polyglot in which you can add several books . I don't know what kind of book it is. I know that there is a network, and I do not use books, why, if there is a strong network.

Owhh I see.. thanks a lot buddy.. I will search it and download it..
GBU

@lisandr wrote:

Stockfish 12 of course what else. There is a Stockfish polyglot in which you can add several books . I don't know what kind of book it is. I know that there is a network, and I do not use books, why, if there is a strong network.

Hi bro Lisandr
I've downloaded it the SF12 Polyglot but then it cannot be install in Chess for Android GUI.. it only works in Droidfish..
Do u know anything about this ?

Thx..

@lisandr wrote:

Stockfish 12 of course what else. There is a Stockfish polyglot in which you can add several books . I don't know what kind of book it is. I know that there is a network, and I do not use books, why, if there is a strong network.

Hi bro Lisandr
I've downloaded the SF12 Polyglot but then it cannot be install in Chess for Android GUI.. it only works in Droidfish..
Do u know anything about this ?

Thx..

Brother, I only use droidfish, it is the best for android, though you can't do a tournament of engines there. I only use a droidfish. Others don't know.

@lisandr wrote:

Brother, I only use droidfish, it is the best for android, though you can't do a tournament of engines there. I only use a droidfish. Others don't know.

Okay bro.. it's okay... Thanks for the confirm

Serge launched a new network on fishtest. It's going very well so far

20200914-1520.bin
https://www.comp.nus.edu.sg/~sergio-v/nnue/

released today .nnue format

https://tests.stockfishchess.org/api/nn/nn-03744f8d56d8.nnue

Processor:Intel Core i5-7600K, GHz:4.20 , Сore:1, Gui:Fritz-11, Games:100, Time:1+1, Book:Off ,Endgame tables:Syzygy 3-4-5, Hash:128 MB, Ponder:Off.

https://pixeldrain.com/u/9iTmm4rr

Author: syzygy1
Date: Thu Sep 17 17:24:52 2020 +0200
Timestamp: 1600356292

Use tiling to speed up accumulator refreshes and updates

Perform the update and refresh operations tile by tile in a local
array of vectors. By selecting the array size carefully, we
achieve that the compiler keeps the whole array in vector registers.

Idea and original implementation by @sf-x.

STC: https://tests.stockfishchess.org/tests/view/5f623eec912c15f19854b855
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 4872 W: 623 L: 477 D: 3772 Elo +10.41
Ptnml(0-2): 14, 350, 1585, 450, 37

LTC: https://tests.stockfishchess.org/tests/view/5f62434e912c15f19854b860
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 25808 W: 1565 L: 1401 D: 22842 Elo +2.21
Ptnml(0-2): 23, 1186, 10332, 1330, 33

closes https://github.com/official-stockfish/Stockfish/pull/3130

No functional change
see source

https://abrok.eu/stockfish/

Elo +10.41 and Elo +2.21

It got a great improvement.

Ronald has ported acceleration patches from CFish to Stockfish.

On my PC, Stockfish AVX2 is almost 10% faster.
There is also a gain for other architectures.

Im using now even without book,,,only with neural net, and doing very good work.
Before I was using cfish and bin book and neural net...but now they implemented cfish feature and gained that much elo, back to original.

Author: Sami Kiminki
Date: Mon Sep 21 08:43:48 2020 +0200
Timestamp: 1600670628

Add large page support for NNUE weights and simplify TT mem management

Use TT memory functions to allocate memory for the NNUE weights. This
should provide a small speed-up on systems where large pages are not
automatically used, including Windows and some Linux distributions.

Further, since we now have a wrapper for std::aligned_alloc(), we can
simplify the TT memory management a bit:

- We no longer need to store separate pointers to the hash table and
its underlying memory allocation.
- We also get to merge the Linux-specific and default implementations
of aligned_ttmem_alloc().

Finally, we'll enable the VirtualAlloc code path with large page
support also for Win32.

STC: https://tests.stockfishchess.org/tests/view/5f66595823a84a47b9036fba
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 14896 W: 1854 L: 1686 D: 11356 Elo +3.92
Ptnml(0-2): 65, 1224, 4742, 1312, 105

closes https://github.com/official-stockfish/Stockfish/pull/3081

https://abrok.eu/stockfish/

@Waldemar wrote:

Im using now even without book,,,only with neural net, and doing very good work.
Before I was using cfish and bin book and neural net...but now they implemented cfish feature and gained that much elo, back to original.

but it will be slower. because the engine has to calculate the position.

yes....i dont play 1 minute game with it, only if I use book

And I play giving engine specific time to think like 10s for each move to it not spend too much time without book.

@Waldemar wrote:

yes....i dont play 1 minute game with it, only if I use book

And I play giving engine specific time to think like 10s for each move to it not spend too much time without book.

10s per move, it means that the engine will move weakly. not a strong move.

for me, you should to use 1 book, not 2 books and change of engine. engine that says BOOKFILE

I realized that use 2 books are worst than 1 book.

these stockfish were made to work in fritz or arena interface. not to be used with bots.

Anybody noticed that nnue or something makes engine stop and think for few seconds during a mate move? my engine when finds the mate, during the moves it stops 3 or 4 seconds to move again till mate. sometimes horrible 7 or 8 seconds in delay.

Fairy-Stockfish 11.2

https://github.com/ianfab/Fairy-Stockfish/releases/tag/fairy_sf_11_2

Stockfish and CorChess development builds compiled by I. Ivec
September 21, 2020


https://chess.ultimaiq.net/stockfish.html

Hi, all. Here is my first not-too-bad Stockfish data based net. It performs -100Elo versus SV nets inside MinicNNUE (but still kills Minic standard eval by +120Elo) and its name is "Napping Nexus".
https://github.com/tryingsomestuff/NNUE-Nets/raw/master/napping_nexus.bin

Author: SFisGOD
Date: Fri Sep 25 17:44:19 2020 +0200
Timestamp: 1601048659

Switch to NNUE eval probabilistically for OCB

Introduce a small chance of switching to NNUE if PSQ imbalance is large but we have opposite colored bishops and the classical eval is struggling to win.

STC:
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 25304 W: 3179 L: 2983 D: 19142 Elo +2.69
Ptnml(0-2): 172, 2171, 7781, 2345, 183
https://tests.stockfishchess.org/tes...759d4ee307cfe3

LTC:
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 84680 W: 4846 L: 4556 D: 75278 Elo +1.19
Ptnml(0-2): 89, 3933, 34011, 4213, 94
https://tests.stockfishchess.org/tes...759d4ee307cff9

closes https://github.com/official-stockfis...fish/pull/3146

Bench: 3865413

https://abrok.eu/stockfish/

@lisandr wrote:

Author: SFisGOD
Date: Fri Sep 25 17:44:19 2020 +0200
Timestamp: 1601048659

Switch to NNUE eval probabilistically for OCB

Introduce a small chance of switching to NNUE if PSQ imbalance is large but we have opposite colored bishops and the classical eval is struggling to win.

STC:
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 25304 W: 3179 L: 2983 D: 19142 Elo +2.69
Ptnml(0-2): 172, 2171, 7781, 2345, 183
https://tests.stockfishchess.org/tes...759d4ee307cfe3

LTC:
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 84680 W: 4846 L: 4556 D: 75278 Elo +1.19
Ptnml(0-2): 89, 3933, 34011, 4213, 94
https://tests.stockfishchess.org/tes...759d4ee307cff9

closes https://github.com/official-stockfis...fish/pull/3146

Bench: 3865413

https://abrok.eu/stockfish/

Hi bro.. Im looking for Stockfish 270920 NNUE ( Android )
U think u know anything about this engine ?

Regards

Author: Joost VandeVondele
Date: Wed Oct 14 13:28:21 2020 +0200
Timestamp: 1602674901

Update default net to nn-04cf2b4ed1da.nnue

Further tune the net parameters, now the last but one layer (32x32).
To limit the number of parameters optimized, the network layer was
decomposed using SVD, and the singular values were treated
as parameters and tuned.

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

passed STC:
https://tests.stockfishchess.org/tests/view/5f83e82f8ea73fb8ddf83e4e
LLR: 2.94 (-2.94,2.94) {-0.25,1.25}
Total: 8488 W: 944 L: 795 D: 6749 Elo +6.10
Ptnml(0-2): 39, 609, 2811, 734, 51

passed LTC:
https://tests.stockfishchess.org/tests/view/5f83f4118ea73fb8ddf83e66
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 169016 W: 8043 L: 7589 D: 153384 Elo +0.93
Ptnml(0-2): 133, 6623, 70538, 7085, 129

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

Bench: 3945198

https://abrok.eu/stockfish/

Download link new vdv net: https://tests.stockfishchess.org/api/nn/nn-04cf2b4ed1da.nnue