Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: Linmiao Xu
Date: Thu Feb 9 07:50:27 2023 +0100 Timestamp: 1675925427 Update default net to nn-1337b1adec5b.nnue Created by retraining the master net on a dataset composed of: * Most of the previous best dataset filtered to remove positions likely having only one good move * Adding training data from Leela T77 dec2021 rescored with 16tb of 7-piece tablebases Trained with end lambda 0.7 and max epoch 900. Positions with ply <= 28 were removed from most of the previous best dataset before training began. A new nnue-pytorch trainer param for skipping early plies was used to skip plies <= 24 in the unfiltered and additional Leela T77 parts of the dataset. ``` python easy_train.py \ --experiment-name leela96-dfrc99-T80octnovT79aprmayT60novdec-eval-filt-v2-T78augsep-12tb-T77dec-16tb-lambda7-sk24 \ --training-dataset /data/leela96-dfrc99-T80octnovT79aprmayT60novdec-eval-filt-v2-T78augsep-12tb-T77dec-16tb.binpack \ --nnue-pytorch-branch linrock/nnue-pytorch/easy-train-early-fen-skipping \ --early-fen-skipping 24 \ --gpus "0," \ --start-from-engine-test-net True \ --start-lambda 1.0 \ --end-lambda 0.7 \ --gamma 0.995 \ --lr 4.375e-4 \ --tui False \ --seed $RANDOM \ --max_epoch 900 ``` The depth6 multipv2 search filtering method is the same as the one used for filtering recent best datasets, with a lower eval difference threshold to remove slightly more positions than before. These parts of the dataset were filtered: * 96% of T60T70wIsRightFarseerT60T74T75T76.binpack * 99% of dfrc_n5000.binpack * T80 oct + nov 2022 data, no positions with castling flags, rescored with ~600gb 7p tablebases * T79 apr + may 2022 data, rescored with 12tb 7p tablebases * T60 nov + dec 2021 data, rescored with 12tb 7p tablebases These parts of the dataset were not filtered. Positions with ply <= 24 were skipped during training: * T78 aug + sep 2022 data, rescored with 12tb 7p tablebases * 84% of T77 dec 2021 data, rescored with 16tb 7p tablebases The code and exact evaluation thresholds used for data filtering can be found at: https://github.com/linrock/Stockfish/tree/tools-filter-multipv2-eval-diff-t2/src/filter The exact training data used can be found at: https://robotmoon.com/nnue-training-data/ Local elo at 25k nodes per move: nn-epoch859.nnue : 3.5 +/ 1.2 Passed STC: LLR: 2.95 (-2.94,2.94) <0.00,2.00> https://tests.stockfishchess.org/tests/view/63dfeefc73223e7f52ad769f Total: 219744 W: 58572 L: 58002 D: 103170 Elo +0.90 Ptnml(0-2): 609, 24446, 59284, 24832, 701 Passed LTC: https://tests.stockfishchess.org/tests/view/63e268fc73223e7f52ade7b6 LLR: 2.94 (-2.94,2.94) <0.50,2.50> Total: 91256 W: 24528 L: 24121 D: 42607 Elo +1.55 Ptnml(0-2): 48, 8863, 27390, 9288, 39 closes https://github.com/official-stockfish/Stockfish/pull/4387 bench 3841998 see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: Dubslow
Date: Thu Feb 9 07:46:41 2023 +0100 Timestamp: 1675925201 Update `complexityAverage` in all branches of static eval STC: https://tests.stockfishchess.org/tests/view/63dda49573223e7f52ad0f8c LLR: 2.95 (-2.94,2.94) <-1.75,0.25> Total: 117416 W: 31173 L: 31049 D: 55194 Elo +0.37 Ptnml(0-2): 290, 12246, 33533, 12328, 311 LTC: https://tests.stockfishchess.org/tests/view/63dfa90873223e7f52ad69b8 LLR: 2.94 (-2.94,2.94) <-1.75,0.25> Total: 44416 W: 11924 L: 11744 D: 20748 Elo +1.41 Ptnml(0-2): 5, 4036, 13968, 4172, 27 closes https://github.com/official-stockfish/Stockfish/pull/4385 bench 4758694 see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: Michael Chaly
Date: Thu Feb 9 07:45:05 2023 +0100 Timestamp: 1675925105 Cleanup and reorder in qsearch This patch is a simplification / code normalisation in qsearch. Adds steps in comments the same way we have in search; Makes a separate "pruning" stage instead of heuristics randomly being spread over qsearch code; Reorders pruning heuristics from least taxing ones to more taxing ones; Removes repeated check for best value not being mated, instead uses 1 check - thus removes some lines of code. Moves prefetch and move setup after pruning - makes no sense to do them if move will actually get pruned. Passed non-regression test: https://tests.stockfishchess.org/tests/view/63dd2c5ff9a50a69252c1413 LLR: 2.95 (-2.94,2.94) <-1.75,0.25> Total: 113504 W: 29898 L: 29770 D: 53836 Elo +0.39 Ptnml(0-2): 287, 11861, 32327, 11991, 286 https://github.com/official-stockfish/Stockfish/pull/4382 Non-functional change. see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: Disservin
Date: Thu Feb 9 07:42:52 2023 +0100 Timestamp: 1675924972 remove unnecessary variable pinned already has to be true for the bitwise & closes https://github.com/official-stockfish/Stockfish/pull/4381 No functional change see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: pb00067
Date: Fri Feb 3 20:18:50 2023 +0100 Timestamp: 1675451930 Improve excluded move logic PR consists of 2 improvements on nodes with excludeMove: 1. Remove xoring the posKey with make_key(excludedMove) Since we never call tte->save anymore with excludedMove, the unique left purpose of the xoring was to avoid a TT hit. Nevertheless on a normal bench run this produced ~25 false positives (key collisions) To avoid that we now forbid early TT cutoff's with excludeMove Maybe these accesses to TT with xored key caused useless misses in the CPU caches (L1, L2 ...) Now doing the probe with the same key as the enclosing search does, should hit the CPU cache. 2. Don't probe Tablebases with excludedMove. This can't be tested on fishtest, but it's obvious that tablebases don't deliver any information about suboptimal moves. Side note: Very surprisingly it looks like we cannot use static eval's from TT since they slightly differ over time due to changing optimism. Attempts to use static eval's from TT did loose about 13 ELO. This is something about to investigate. LTC: https://tests.stockfishchess.org/tests/view/63dc0f8de9d4cdfbe672d0c6 LLR: 2.94 (-2.94,2.94) <0.50,2.50> Total: 44736 W: 12046 L: 11733 D: 20957 Elo +2.43 Ptnml(0-2): 12, 4212, 13617, 4505, 22 An analogue of this passed STC & LTC see PR #4374 (thanks Dubslow for reviewing!) closes https://github.com/official-stockfish/Stockfish/pull/4380 Bench: 4758694 see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: Muzhen Gaming
Date: Fri Feb 3 20:15:09 2023 +0100 Timestamp: 1675451709 Remove reduced LMR capture bonus In LMR, simplify away the reduced capture bonus (i.e. if (capture) bonus /= 6). Non-regression STC: https://tests.stockfishchess.org/tests/view/63da1da9bbadd17b3787dced LLR: 2.95 (-2.94,2.94) <-1.75,0.25> Total: 28152 W: 7521 L: 7296 D: 13335 Elo +2.78 Ptnml(0-2): 76, 3069, 7568, 3280, 83 Non-regression LTC: https://tests.stockfishchess.org/tests/view/63da6ad4bbadd17b3787e98c LLR: 2.96 (-2.94,2.94) <-1.75,0.25> Total: 52472 W: 14120 L: 13941 D: 24411 Elo +1.19 Ptnml(0-2): 16, 5071, 15887, 5242, 20 closes https://github.com/official-stockfish/Stockfish/pull/4378 Bench: 4034016 see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: Michael Chaly
Date: Fri Feb 3 20:10:08 2023 +0100 Timestamp: 1675451408 Simplify usage of optimism in complexity This patch removes one condition in optimism usage in complexity, now negative optimism also impacts it. Passed STC: https://tests.stockfishchess.org/tests/view/63d34f43721fe2bff692fb12 LLR: 2.94 (-2.94,2.94) <-1.75,0.25> Total: 204920 W: 54343 L: 54309 D: 96268 Elo +0.06 Ptnml(0-2): 598, 22648, 55897, 22756, 561 Passed LTC: https://tests.stockfishchess.org/tests/view/63d612a2a67dd929a556075c LLR: 2.95 (-2.94,2.94) <-1.75,0.25> Total: 200712 W: 53207 L: 53172 D: 94333 Elo +0.06 Ptnml(0-2): 58, 19664, 60901, 19651, 82 closes https://github.com/official-stockfish/Stockfish/pull/4377 bench 4204964 see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: MinetaS
Date: Fri Feb 3 20:07:56 2023 +0100 Timestamp: 1675451276 Expand statistics tools for engine development This patch adds more debugging slots up to 32 per type and provide tools to calculate standard deviation and Pearson's correlation coefficient. However, due to slot being 0 at default, dbg_hit_on(c, b) has to be removed. Initial idea from snicolet/Stockfish@d8ab604 closes https://github.com/official-stockfish/Stockfish/pull/4354 No functional change see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: Michael Chaly
Date: Thu Feb 2 18:00:14 2023 +0100 Timestamp: 1675357214 Do less SEE pruning in qsearch Current master prunes all moves with negative SEE values in qsearch. This patch sets constant negative threshold thus allowing some moves with negative SEE values to be searched. Value of threshold is completely arbitrary and can be tweaked - also it as function of depth can be tried. Original idea by author of Alexandria engine. Passed STC https://tests.stockfishchess.org/tests/view/63d79a59a67dd929a5564976 LLR: 2.94 (-2.94,2.94) <0.00,2.00> Total: 34864 W: 9392 L: 9086 D: 16386 Elo +3.05 Ptnml(0-2): 113, 3742, 9429, 4022, 126 Passed LTC https://tests.stockfishchess.org/tests/view/63d8074aa67dd929a5565bc2 LLR: 2.95 (-2.94,2.94) <0.50,2.50> Total: 91616 W: 24532 L: 24126 D: 42958 Elo +1.54 Ptnml(0-2): 32, 8840, 27662, 9238, 36 closes https://github.com/official-stockfish/Stockfish/pull/4376 Bench: 4010877 see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: Joost VandeVondele
Date: Thu Feb 2 17:58:05 2023 +0100 Timestamp: 1675357085 Update WLD model update the WLD model with about 400M positions extracted from recent LTC games after the net updates. This ensures that the 50% win rate is again at 1.0 eval. closes https://github.com/official-stockfish/Stockfish/pull/4373 No functional change. see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: MinetaS
Date: Thu Feb 2 17:49:23 2023 +0100 Timestamp: 1675356563 Add -Wconditional-uninitialized when using Clang Add -Wconditional-uninitialized as it is not controlled by -Wall. closes https://github.com/official-stockfish/Stockfish/pull/4371 No functional change see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: Muzhen Gaming
Date: Thu Feb 2 17:45:57 2023 +0100 Timestamp: 1675356357 Decrease reduction for killer moves with good history If move is a main killer and we have a good history, decrease reduction. STC: https://tests.stockfishchess.org/tests/view/63d38b37721fe2bff693069a LLR: 2.95 (-2.94,2.94) <0.00,2.00> Total: 46688 W: 12542 L: 12222 D: 21924 Elo +2.38 Ptnml(0-2): 126, 5013, 12769, 5287, 149 LTC: https://tests.stockfishchess.org/tests/view/63d471e2bde6e5f3cb4be5d3 LLR: 2.93 (-2.94,2.94) <0.50,2.50> Total: 130976 W: 35033 L: 34555 D: 61388 Elo +1.27 Ptnml(0-2): 38, 12551, 39833, 13027, 39 closes https://github.com/official-stockfish/Stockfish/pull/4369 Bench: 4069938 see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: MinetaS
Date: Sat Jan 28 16:54:30 2023 +0100 Timestamp: 1674921270 Remove maxNextDepth This patch allows full PV search to have double extensions as well when extension == 1 && doDeeperSearch && doEvenDeeperSearch && !doShallowerSearch is true, which is extremely rare to occur. Passed non-regression STC (master 3d2381d): LLR: 2.95 (-2.94,2.94) <-1.75,0.25> Total: 370824 W: 97835 L: 97974 D: 175015 Elo -0.13 Ptnml(0-2): 1073, 38814, 105731, 38767, 1027 https://tests.stockfishchess.org/tests/view/63c89416a83c702aac08314c Passed non-regression LTC (master 3d2381d): LLR: 2.95 (-2.94,2.94) <-1.75,0.25> Total: 306048 W: 81173 L: 81237 D: 143638 Elo -0.07 Ptnml(0-2): 117, 27977, 96901, 27911, 118 https://tests.stockfishchess.org/tests/view/63cc4e84344bb01c191b2658 Bench: 4208265 see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: Dubslow
Date: Sat Jan 28 16:50:46 2023 +0100 Timestamp: 1674921046 Remove `previousDepth` in favor of `completedDepth + 2` Beyond the simplification, this could be considered a bugfix from a certain point of view. However, the effect is very subtle and essentially impossible for users to notice. 5372f81cc8 added about 2 Elo at LTC, but only for second and later `go` commands; now, with this patch, the first `go` command will also benefit from that gain. Games under time controls are unaffected (as per the tests). STC: https://tests.stockfishchess.org/tests/view/63c3d291330c0d3d051d48a8 LLR: 2.94 (-2.94,2.94) <-1.75,0.25> Total: 473792 W: 124858 L: 125104 D: 223830 Elo -0.18 Ptnml(0-2): 1338, 49653, 135063, 49601, 1241 LTC: https://tests.stockfishchess.org/tests/view/63c8cd56a83c702aac083bc9 LLR: 2.94 (-2.94,2.94) <-1.75,0.25> Total: 290728 W: 76926 L: 76978 D: 136824 Elo -0.06 Ptnml(0-2): 106, 27987, 89221, 27953, 97 closes https://github.com/official-stockfish/Stockfish/pull/4361 bench 4208265 see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: Sebastian Buchwald
Date: Sat Jan 28 16:49:27 2023 +0100 Timestamp: 1674920967 Remove redundant const qualifiers The const qualifiers are already implied by the constexpr qualifiers. closes https://github.com/official-stockfish/Stockfish/pull/4359 No functional change see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: Sebastian Buchwald
Date: Sat Jan 28 16:47:52 2023 +0100 Timestamp: 1674920872 Simplify functions to read/write network parameters closes https://github.com/official-stockfish/Stockfish/pull/4358 No functional change see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: disservin
Date: Sat Jan 28 16:37:29 2023 +0100 Timestamp: 1674920249 Fixed UCI TB win values This patch results in search values for a TB win/loss to be reported in a way that does not change with normalization, i.e. will be consistent over time. A value of 200.00 pawns is now reported upon entering a TB won position. Values smaller than 200.00 relate to the distance in plies from the root to the probed position position, with 1 cp being 1 ply distance. closes https://github.com/official-stockfish/Stockfish/pull/4353 No functional change see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: Michael Chaly
Date: Wed Jan 25 07:51:19 2023 +0100 Timestamp: 1674629479 Rebalance usage of history heuristics in pruning This patch has multiple effects: * history heuristics sum in futility pruning now can't exceed some negative value so futility pruning for moves with negative histories should become slightly less aggressive; * history heuristics are now used in SEE pruning for quiet moves; Passed STC: https://tests.stockfishchess.org/tests/view/63cde339c93e8828d0f02e3a LLR: 2.94 (-2.94,2.94) <0.00,2.00> Total: 88424 W: 23681 L: 23303 D: 41440 Elo +1.49 Ptnml(0-2): 258, 9559, 24219, 9899, 277 Passed LTC: https://tests.stockfishchess.org/tests/view/63ce9009c93e8828d0f04e4f LLR: 2.94 (-2.94,2.94) <0.50,2.50> Total: 79536 W: 21223 L: 20843 D: 37470 Elo +1.66 Ptnml(0-2): 22, 7599, 24146, 7979, 22 closes https://github.com/official-stockfish/Stockfish/pull/4355 Bench: 4208265 see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: Dubslow
Date: Wed Jan 25 07:48:39 2023 +0100 Timestamp: 1674629319 `stat_bonus`: replace quadratic with nearly identical line passed stc: https://tests.stockfishchess.org/tests/view/63ca58c90eefe8694a0c4eac LLR: 2.94 (-2.94,2.94) <-1.75,0.25> Total: 287960 W: 76146 L: 76201 D: 135613 Elo -0.07 Ptnml(0-2): 947, 31890, 78307, 31943, 893 passed ltc: https://tests.stockfishchess.org/tests/view/63cc8a51344bb01c191b30f0 LLR: 2.94 (-2.94,2.94) <-1.75,0.25> Total: 73784 W: 19559 L: 19402 D: 34823 Elo +0.74 Ptnml(0-2): 33, 7171, 22327, 7328, 33 closes https://github.com/official-stockfish/Stockfish/pull/4352 bench 3990490 see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: Linmiao Xu
Date: Mon Jan 23 07:01:32 2023 +0100 Timestamp: 1674453692 Update default net to nn-bc24c101ada0.nnue Created by retraining the master net with Leela T78 data from Aug+Sep 2022 added to the previous best dataset. Trained with end lambda 0.7 and started with max epoch 800. All positions with ply <= 28 were skipped: ``` python easy_train.py \ --experiment-name leela95-dfrc96-filt-only-T80octnov-T60novdecT78augsepT79aprmay-12tb7p-sk28-lambda7 \ --training-dataset /data/leela95-dfrc96-filt-only-T80octnov-T60novdecT78augsepT79aprmay-12tb7p.binpack \ --nnue-pytorch-branch linrock/nnue-pytorch/misc-fixes-skip-ply-lteq-28 \ --start-from-engine-test-net True \ --gpus "0," \ --start-lambda 1.0 \ --end-lambda 0.7 \ --gamma 0.995 \ --lr 4.375e-4 \ --tui False \ --seed $RANDOM \ --max_epoch 800 ``` Around epoch 750, training was manually paused and max epoch increased to 950 before resuming. The additional Leela training data from T78 was prepared in the same way as the previous best dataset. The exact training data used can be found at: https://robotmoon.com/nnue-training-data/ While the local elo ratings during this experiment were much lower than in recent master nets, several later epochs had a consistent elo above zero, and this was hypothesized to represent potential strength at slower time controls. Local elo at 25k nodes per move leela95-dfrc96-filt-only-T80octnov-T60novdecT78augsepT79aprmay-12tb7p-sk28-lambda7 nn-epoch819.nnue : 0.4 +/- 1.1 (nn-bc24c101ada0.nnue) nn-epoch799.nnue : 0.3 +/- 1.2 nn-epoch759.nnue : 0.3 +/- 1.1 nn-epoch839.nnue : 0.2 +/- 1.4 Passed STC https://tests.stockfishchess.org/tests/view/63cabf6f0eefe8694a0c6013 LLR: 2.94 (-2.94,2.94) <0.00,2.00> Total: 41608 W: 11161 L: 10848 D: 19599 Elo +2.61 Ptnml(0-2): 116, 4496, 11281, 4781, 130 Passed LTC https://tests.stockfishchess.org/tests/view/63cb1856344bb01c191af263 LLR: 2.95 (-2.94,2.94) <0.50,2.50> Total: 76760 W: 20517 L: 20137 D: 36106 Elo +1.72 Ptnml(0-2): 34, 7435, 23070, 7799, 42 closes https://github.com/official-stockfish/Stockfish/pull/4351 bench 3941848 see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: Jonathan
Date: Sun Jan 22 13:15:46 2023 +0100 Timestamp: 1674389746 apply if constexpr to additional instances as a form of documentation, and a hint to the compiler. closes https://github.com/official-stockfish/Stockfish/pull/4345 No functional change see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: Stephen Touset
Date: Sun Jan 22 10:55:32 2023 +0100 Timestamp: 1674381332 Remove precomputed SquareBB Bit-shifting is a single instruction, and should be faster than an array lookup on supported architectures. Besides (ever so slightly) speeding up the conversion of a square into a bitboard, we may see minor general performance improvements due to preserving more of the CPU's existing cache. passed STC: LLR: 2.95 (-2.94,2.94) <-1.75,0.25> Total: 47280 W: 12469 L: 12271 D: 22540 Elo +1.46 Ptnml(0-2): 128, 4893, 13402, 5087, 130 https://tests.stockfishchess.org/tests/view/63c5cfe618c20f4929c5fe46 Small speedup locally: ``` Result of 20 runs ================== base (./stockfish.master ) = 1752135 +/- 10943 test (./stockfish.patch ) = 1763939 +/- 10818 diff = +11804 +/- 4731 speedup = +0.0067 P(speedup > 0) = 1.0000 CPU: 16 x AMD Ryzen 9 3950X 16-Core Processor ``` Closes https://github.com/official-stockfish/Stockfish/pull/4343 Bench: 4106793 see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: Joost VandeVondele
Date: Sun Jan 22 10:54:15 2023 +0100 Timestamp: 1674381255 Update UCI_Elo parameterization The old parameterization (https://github.com/official-stockfish/Stockfish/pull/2225/files) has now become quite inaccurate. This updates the formula based on updated results with master. The formula is based on a fit of the Elo results for games played between master at various skill levels, and various versions of the Stash engine, which have been ranked at CCRL. ``` # PLAYER : RATING ERROR POINTS PLAYED (%) 1 master-skill-19 : 3191.1 40.4 940.0 1707 55 2 master-skill-18 : 3170.3 39.3 1343.0 2519 53 3 master-skill-17 : 3141.3 37.8 2282.0 4422 52 4 master-skill-16 : 3111.2 37.1 2773.0 5423 51 5 master-skill-15 : 3069.5 37.2 2728.5 5386 51 6 master-skill-14 : 3024.8 36.1 2702.0 5339 51 7 master-skill-13 : 2972.9 35.4 2645.5 5263 50 8 master-skill-12 : 2923.1 35.0 2653.5 5165 51 9 master-skill-11 : 2855.5 33.6 2524.0 5081 50 10 master-skill-10 : 2788.3 32.0 2724.5 5511 49 11 stash-bot-v25.0 : 2744.0 31.5 1952.5 3840 51 12 master-skill-9 : 2702.8 30.5 2670.0 5018 53 13 master-skill-8 : 2596.2 28.5 2669.5 4975 54 14 stash-bot-v21.0 : 2561.2 30.0 1338.0 3366 40 15 master-skill-7 : 2499.5 28.5 1934.0 4178 46 16 stash-bot-v20.0 : 2452.6 27.7 1606.5 3378 48 17 stash-bot-v19.0 : 2425.3 26.7 1787.0 3365 53 18 master-skill-6 : 2363.2 26.4 2510.5 4379 57 19 stash-bot-v17.0 : 2280.7 25.4 2209.0 4378 50 20 master-skill-5 : 2203.7 25.3 2859.5 5422 53 21 stash-bot-v15.3 : 2200.0 25.4 1757.0 4383 40 22 stash-bot-v14 : 2145.9 25.5 2890.0 5167 56 23 stash-bot-v13 : 2042.7 25.8 2263.5 4363 52 24 stash-bot-v12 : 1963.4 25.8 1769.5 4210 42 25 master-skill-4 : 1922.9 25.9 2690.0 5399 50 26 stash-bot-v11 : 1873.0 26.3 2203.5 4335 51 27 stash-bot-v10 : 1783.8 27.8 2568.5 4301 60 28 master-skill-3 : 1742.3 27.8 1909.5 4439 43 29 master-skill-2 : 1608.4 29.4 2064.5 4389 47 30 stash-bot-v9 : 1582.6 30.2 2130.0 4230 50 31 master-skill-1 : 1467.6 31.3 2015.5 4244 47 32 stash-bot-v8 : 1452.8 31.5 1953.5 3780 52 33 master-skill-0 : 1320.1 32.9 651.5 2083 31 ``` Skill 0 .. 19, now covers CCRL Blitz Elo from 1320 to 3190, approximately. Indeed, the Elo of stash in this analysis is only to within +- 100 Elo of CCRL, probably because it depends quite a bit on the opponent pool. To obtain a skill level for a given Elo number, the above data is fit as a 3rd degree polynomial Skill(Elo). A quick test confirms the correspondence to the above table: ``` Score of master-elo-2721 vs stash-bot-v21.0: 51 - 16 - 19 [0.703] 86 Elo difference: 150.1 +/- 70.2, LOS: 100.0 %, DrawRatio: 22.1 % ``` closes https://github.com/official-stockfish/Stockfish/pull/4341 No functional change. see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: Sebastian Buchwald
Date: Sun Jan 22 10:51:02 2023 +0100 Timestamp: 1674381062 Fix asm modifiers in add_dpbusd_epi32x2 implementations The accumulator should be an earlyclobber because it is written before all input operands are read. Otherwise, the asm code computes a wrong result if the accumulator shares a register with one of the other input operands (which happens if we pass in the same expression for the accumulator and the operand). Closes https://github.com/official-stockfish/Stockfish/pull/4339 No functional change see source |
Windows x64 for Haswell CPUs Windows x64 for modern computers + AVX2 Windows x64 for modern computers Windows x64 + SSSE3 Windows x64 Linux x64 for Haswell CPUs Linux x64 for modern computers + AVX2 Linux x64 for modern computers Linux x64 + SSSE3 Linux x64 | Author: Linmiao Xu
Date: Sat Jan 14 08:12:11 2023 +0100 Timestamp: 1673680331 Update default net to nn-1e7ca356472e.nnue Created by retraining the master net on a dataset composed of: * The Leela-dfrc_n5000.binpack dataset filtered with depth6 multipv2 search to remove positions with only one good move, in addition to removing positions where either of the two best moves are captures * The same Leela T80 oct+nov 2022 training data used in recent best datasets * Additional Leela training data from T60 nov+dec 2021 and T79 apr+may 2022 Trained with end lambda 0.7 and started with max epoch 800. All positions with ply <= 28 were skipped: ``` python easy_train.py \ --experiment-name leela95-dfrc96-mpv-eval-fonly-T80octnov-T79aprmayT60novdec-12tb7p-sk28-lambda7 \ --training-dataset /data/leela95-dfrc96-mpv-eval-fonly-T80octnov-T79aprmayT60novdec-12tb7p.binpack \ --nnue-pytorch-branch linrock/nnue-pytorch/misc-fixes-skip-ply-lteq-28 \ --start-from-engine-test-net True \ --gpus "0," \ --start-lambda 1.0 \ --end-lambda 0.7 \ --gamma 0.995 \ --lr 4.375e-4 \ --tui False \ --seed $RANDOM \ --max_epoch 800 ``` Around epoch 780, training was manually paused and max epoch increased to 920 before resuming. During depth6 multipv2 data filtering, positions were considered to have only one good move if the score of the best move was significantly better than the 2nd best move in a way that changes the outcome of the game: * the best move leads to a significant advantage while the 2nd best move equalizes or loses * the best move is about equal while the 2nd best move loses The modified stockfish branch and exact score thresholds used for filtering are at: https://github.com/linrock/Stockfish/tree/tools-filter-multipv2-eval-diff/src/filter About 95% of the Leela portion and 96% of the DFRC portion of the Leela-dfrc_n5000.binpack dataset was filtered. Unfiltered parts of the dataset were left out. The additional Leela training data from T60 nov+dec 2021 and T79 apr+may 2022 was WDL-rescored with about 12TB of syzygy 7-piece tablebases where the material difference is less than around 6 pawns. Best moves were exported to .plain data files during data conversion with the lc0 rescorer. The exact training data can be found at: https://robotmoon.com/nnue-training-data/ Local elo at 25k nodes per move experiment_leela95-dfrc96-mpv-eval-fonly-T80octnov-T79aprmayT60novdec-12tb7p-sk28-lambda7 run_0/nn-epoch899.nnue : 3.8 +/- 1.6 Passed STC https://tests.stockfishchess.org/tests/view/63bed1f540aa064159b9c89b LLR: 2.94 (-2.94,2.94) <0.00,2.00> Total: 103344 W: 27392 L: 26991 D: 48961 Elo +1.35 Ptnml(0-2): 333, 11223, 28099, 11744, 273 Passed LTC https://tests.stockfishchess.org/tests/view/63c010415705810de2deb3ec LLR: 2.94 (-2.94,2.94) <0.50,2.50> Total: 21712 W: 5891 L: 5619 D: 10202 Elo +4.35 Ptnml(0-2): 12, 2022, 6511, 2304, 7 closes https://github.com/official-stockfish/Stockfish/pull/4338 bench 4106793 see source |