| 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: peregrineshahin
Date: Thu Jun 22 10:26:17 2023 +0200 Timestamp: 1687422377 Fix Potential in TB cutoffs for NMP. Removes the second dependency on beta and caps the return value to VALUE_TB_WIN_IN_MAX_PLY - 1 Earlier tests: STC: LLR: 2.96 (-2.94,2.94) <-1.75,0.25> Total: 193632 W: 51372 L: 51326 D: 90934 Elo +0.08 Ptnml(0-2): 447, 20111, 55687, 20091, 480 https://tests.stockfishchess.org/tests/view/6486ee4465ffe077ca125bc1 LTC: LLR: 2.97 (-2.94,2.94) <-1.75,0.25> Total: 331758 W: 89538 L: 89624 D: 152596 Elo -0.09 Ptnml(0-2): 114, 30121, 105516, 29993, 135 https://tests.stockfishchess.org/tests/view/6489401af42a44347ed7be42 updated constant: LTC: LLR: 2.95 (-2.94,2.94) <-1.75,0.25> Total: 100260 W: 27143 L: 27017 D: 46100 Elo +0.44 Ptnml(0-2): 34, 8842, 32248, 8976, 30 https://tests.stockfishchess.org/tests/view/6492fcafdc7002ce609c818c closes: https://github.com/official-stockfish/Stockfish/pull/4632 fixes: https://github.com/official-stockfish/Stockfish/issues/4598 bench: 2370027 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 Jun 22 10:17:44 2023 +0200 Timestamp: 1687421864 Update winrate model with June data Retained 748191776 scored positions for analysis const int NormalizeToPawnValue = 328; Corresponding spread = 60; Corresponding normalized spread = 0.18337766691628035; Draw rate at 0.0 eval at move 32 = 0.9914715947898592; closes https://github.com/official-stockfish/Stockfish/pull/4636 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: Joost VandeVondele
Date: Thu Jun 22 10:15:51 2023 +0200 Timestamp: 1687421751 Update top CPU contributors closes https://github.com/official-stockfish/Stockfish/pull/4629 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: Tue Jun 20 18:50:12 2023 +0200 Timestamp: 1687279812 Fix failing CI of pull requests adds a guard to prevent pull requests from trying to delete the previous pre-release closing https://github.com/official-stockfish/Stockfish/pull/4631 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: Joerg Oster
Date: Tue Jun 20 10:47:07 2023 +0200 Timestamp: 1687250827 Fix indentation in qsearch. https://github.com/official-stockfish/Stockfish/pull/4630 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: Tue Jun 20 08:55:54 2023 +0200 Timestamp: 1687244154 create prereleases upon push to master using github actions, create a prerelease for the latest commit to master. As such a development version will be available on github, in addition to the latest release. closes https://github.com/official-stockfish/Stockfish/pull/4622 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: maxim
Date: Mon Jun 19 21:37:23 2023 +0200 Timestamp: 1687203443 Compressed network parameters Implemented LEB128 (de)compression for the feature transformer. Reduces embedded network size from 70 MiB to 39 Mib. The new nn-78bacfcee510.nnue corresponds to the master net compressed. closes https://github.com/official-stockfish/Stockfish/pull/4617 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: cj5716
Date: Fri Jun 16 19:14:58 2023 +0200 Timestamp: 1686935698 Small cleanup This non-functional change keeps formatting consistent. closes https://github.com/official-stockfish/Stockfish/pull/4623 Bench 2370027 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: AndrovT
Date: Wed Jun 14 18:36:39 2023 +0200 Timestamp: 1686760599 Permute master net weights to increase sparsity Activation data collection using https://github.com/AndrovT/Stockfish/commit/ac468039ab544b03ad9a22c859a4217729c10a77 run as bench 16 1 13 varied_1000.epd depth NNUE log.bin on FENs from https://gist.github.com/AndrovT/7eae6918eb50764227e2bafe7938953c. Permutation found using https://gist.github.com/AndrovT/359c831b7223c637e9156b01eb96949e. Uses a greedy algorithm that goes sequentially through the output positions and chooses a neuron for that position such that the number of nonzero quartets is the smallest. Net weights permuted using https://gist.github.com/AndrovT/9e3fbaebb7082734dc84d27e02094cb3. Benchmark: Result of 100 runs of 'bench 16 1 13 default depth NNUE' ======================================================== base (...kfish-master) = 885869 +/- 7395 test (./stockfish ) = 895885 +/- 7368 diff = +10016 +/- 2984 speedup = +0.0113 P(speedup > 0) = 1.0000 Passed STC: https://tests.stockfishchess.org/tests/view/648866c4713491385c804728 LLR: 2.94 (-2.94,2.94) <0.00,2.00> Total: 126784 W: 34003 L: 33586 D: 59195 Elo +1.14 Ptnml(0-2): 283, 13001, 36437, 13358, 313 closes https://github.com/official-stockfish/Stockfish/pull/4620 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: peregrineshahin
Date: Wed Jun 14 18:34:57 2023 +0200 Timestamp: 1686760497 Consistent bench extraction with fishtest. Consistent with recent fishtest commit https://github.com/glinscott/fishtest/commit/c0d174396f7fb1c0b3243aaa6cc73769079f3ff9 closes https://github.com/official-stockfish/Stockfish/pull/4619 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: Viren6
Date: Wed Jun 14 18:33:56 2023 +0200 Timestamp: 1686760436 Remove setting of static to none if in check in qsearch Small simplification Passed non-regression STC: https://tests.stockfishchess.org/tests/view/6487924d713491385c8034ae LLR: 2.93 (-2.94,2.94) <-1.75,0.25> Total: 59616 W: 15885 L: 15703 D: 28028 Elo +1.06 Ptnml(0-2): 144, 6130, 17086, 6296, 152 closes https://github.com/official-stockfish/Stockfish/pull/4618 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: Andreas Matthies
Date: Tue Jun 13 08:45:25 2023 +0200 Timestamp: 1686638725 Fix for MSVC compilation. MSVC needs two more explicit casts to compile new affine_transform_sparse_input. See https://www.intel.com/content/www/us/en/docs/intrinsics-guide/index.html#text=_mm256_castsi256_ps and https://www.intel.com/content/www/us/en/docs/intrinsics-guide/index.html#text=_mm_castsi128_ps closes https://github.com/official-stockfish/Stockfish/pull/4616 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: Stéphane Nicolet
Date: Tue Jun 13 08:42:55 2023 +0200 Timestamp: 1686638575 Clean-up code indentation in qsearch closes https://github.com/official-stockfish/Stockfish/pull/4615 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: Mon Jun 12 21:17:31 2023 +0200 Timestamp: 1686597451 Improve comments Fix comments for IIR, also document non-linear scaling in extensions. Also add explicitly the bench, to fix an issue after the last commit. closes https://github.com/official-stockfish/Stockfish/pull/4614 bench 2370027 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: AndrovT
Date: Mon Jun 12 20:41:27 2023 +0200 Timestamp: 1686595287 Use block sparse input for the first layer. Use block sparse input for the first fully connected layer on architectures with at least SSSE3. Depending on the CPU architecture, this yields a speedup of up to 10%, e.g. ``` Result of 100 runs of 'bench 16 1 13 default depth NNUE' base (...ockfish-base) = 959345 +/- 7477 test (...ckfish-patch) = 1054340 +/- 9640 diff = +94995 +/- 3999 speedup = +0.0990 P(speedup > 0) = 1.0000 CPU: 8 x AMD Ryzen 7 5700U with Radeon Graphics Hyperthreading: on ``` Passed STC: https://tests.stockfishchess.org/tests/view/6485aa0965ffe077ca12409c LLR: 2.93 (-2.94,2.94) <0.00,2.00> Total: 8864 W: 2479 L: 2223 D: 4162 Elo +10.04 Ptnml(0-2): 13, 829, 2504, 1061, 25 This commit includes a net with reordered weights, to increase the likelihood of block sparse inputs, but otherwise equivalent to the previous master net (nn-ea57bea57e32.nnue). Activation data collected with https://github.com/AndrovT/Stockfish/tree/log-activations, running bench 16 1 13 varied_1000.epd depth NNUE on this data. Net parameters permuted with https://gist.github.com/AndrovT/9e3fbaebb7082734dc84d27e02094cb3. closes https://github.com/official-stockfish/Stockfish/pull/4612 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: Joost VandeVondele
Date: Mon Jun 12 20:35:44 2023 +0200 Timestamp: 1686594944 Add network export to CI verify the network written by export_net matches the original closes https://github.com/official-stockfish/Stockfish/pull/4613 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: Sun Jun 11 15:23:52 2023 +0200 Timestamp: 1686489832 Update default net to nn-ea57bea57e32.nnue Created by retraining an earlier epoch (ep659) of the experiment that led to the first SFNNv6 net: - First retrained on the nn-0dd1cebea573 dataset - Then retrained with skip 20 on a smaller dataset containing unfiltered Leela data - And then retrained again with skip 27 on the nn-0dd1cebea573 dataset The equivalent 7-step training sequence from scratch that led here was: 1. max-epoch 400, lambda 1.0, constant LR 9.75e-4, T79T77-filter-v6-dd.min.binpack ep379 chosen for retraining in step2 2. max-epoch 800, end-lambda 0.75, T60T70wIsRightFarseerT60T74T75T76.binpack ep679 chosen for retraining in step3 3. max-epoch 800, end-lambda 0.75, skip 28, nn-e1fb1ade4432 dataset ep799 chosen for retraining in step4 4. max-epoch 800, end-lambda 0.7, skip 28, nn-e1fb1ade4432 dataset ep759 became nn-8d69132723e2.nnue (first SFNNv6 net) ep659 chosen for retraining in step5 5. max-epoch 800, end-lambda 0.7, skip 28, nn-0dd1cebea573 dataset ep759 chosen for retraining in step6 6. max-epoch 800, end-lambda 0.7, skip 20, leela-dfrc-v2-T77decT78janfebT79aprT80apr.binpack ep639 chosen for retraining in step7 7. max-epoch 800, end-lambda 0.7, skip 27, nn-0dd1cebea573 dataset ep619 became nn-ea57bea57e32.nnue For the last retraining (step7): python3 easy_train.py --experiment-name L1-1536-Re6-masterShuffled-ep639-sk27-Re5-leela-dfrc-v2-T77toT80small-Re4-masterShuffled-ep659-Re3-sameAs-Re2-leela96-dfrc99-16t-v2-T60novdecT80juntonovjanfebT79aprmayT78jantosepT77dec-v6dd-Re1-LeelaFarseer-new-T77T79 \ --training-dataset /data/leela96-dfrc99-T60novdec-v2-T80juntonovjanfebT79aprmayT78jantosepT77dec-v6dd-T80apr.binpack \ --nnue-pytorch-branch linrock/nnue-pytorch/misc-fixes-L1-1536 \ --early-fen-skipping 27 \ --start-lambda 1.0 \ --end-lambda 0.7 \ --max_epoch 800 \ --start-from-engine-test-net False \ --start-from-model /data/L1-1536-Re5-leela-dfrc-v2-T77toT80small-epoch639.nnue \ --lr 4.375e-4 \ --gamma 0.995 \ --tui False \ --seed $RANDOM \ --gpus "0," For preparing the step6 leela-dfrc-v2-T77decT78janfebT79aprT80apr.binpack dataset: python3 interleave_binpacks.py \ leela96-filt-v2.binpack \ dfrc99-16tb7p-eval-filt-v2.binpack \ test77-dec2021-16tb7p.no-db.min-mar2023.binpack \ test78-janfeb2022-16tb7p.no-db.min-mar2023.binpack \ test79-apr2022-16tb7p-filter-v6-dd.binpack \ test80-apr2022-16tb7p.no-db.min-mar2023.binpack \ /data/leela-dfrc-v2-T77decT78janfebT79aprT80apr.binpack The unfiltered Leela data used for the step6 dataset can be found at: https://robotmoon.com/nnue-training-data Local elo at 25k nodes per move: nn-epoch619.nnue : 2.3 +/- 1.9 Passed STC: https://tests.stockfishchess.org/tests/view/6480d43c6e6ce8d9fc6d7cc8 LLR: 2.94 (-2.94,2.94) <0.00,2.00> Total: 40992 W: 11017 L: 10706 D: 19269 Elo +2.64 Ptnml(0-2): 113, 4400, 11170, 4689, 124 Passed LTC: https://tests.stockfishchess.org/tests/view/648119ac6e6ce8d9fc6d8208 LLR: 2.94 (-2.94,2.94) <0.50,2.50> Total: 129174 W: 35059 L: 34579 D: 59536 Elo +1.29 Ptnml(0-2): 66, 12548, 38868, 13050, 55 closes https://github.com/official-stockfish/Stockfish/pull/4611 bench: 2370027 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: Guenther Demetz
Date: Sun Jun 11 15:13:57 2023 +0200 Timestamp: 1686489237 Reintroduce SEE verification against discovered attacks Reintroduces https://github.com/official-stockfish/Stockfish/pull/4453 along with https://github.com/official-stockfish/Stockfish/pull/4469 Leaving out https://github.com/official-stockfish/Stockfish/pull/4533 https://github.com/official-stockfish/Stockfish/pull/4572 Passed STC: https://tests.stockfishchess.org/tests/view/647d8c37726f6b400e408a0a LLR: 2.93 (-2.94,2.94) <0.00,2.00> Total: 143168 W: 38346 L: 37892 D: 66930 Elo +1.10 Ptnml(0-2): 352, 15672, 39164, 15962, 434 Passed LTC: https://tests.stockfishchess.org/tests/view/647ee8c528c4431bcb58e432 LLR: 2.94 (-2.94,2.94) <0.50,2.50> Total: 71538 W: 19560 L: 19190 D: 32788 Elo +1.80 Ptnml(0-2): 49, 6905, 21499, 7259, 57 closes https://github.com/official-stockfish/Stockfish/pull/4609 bench: 2595430 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: cj5716
Date: Sun Jun 11 15:05:54 2023 +0200 Timestamp: 1686488754 Simplify multiplier for improvement This simplifies a `* 99 / 1300` term into just `/ 13`. Passed non-regression STC: LLR: 2.92 (-2.94,2.94) <-1.75,0.25> Total: 58816 W: 15727 L: 15540 D: 27549 Elo +1.10 Ptnml(0-2): 149, 6370, 16203, 6517, 169 https://tests.stockfishchess.org/tests/view/647d25e4726f6b400e408165 Passed non-regression LTC: LLR: 2.95 (-2.94,2.94) <-1.75,0.25> Total: 154386 W: 41749 L: 41669 D: 70968 Elo +0.18 Ptnml(0-2): 94, 14992, 46956, 15042, 109 https://tests.stockfishchess.org/tests/view/647d9b3c726f6b400e408b2a closes https://github.com/official-stockfish/Stockfish/pull/4608 Bench: 2511327 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: Tue Jun 6 21:21:56 2023 +0200 Timestamp: 1686079316 Remove optimism multiplier in nnue eval calculation The same formula had passed SPRT against an earlier version of master. Passed non-regression STC vs. d99942f: https://tests.stockfishchess.org/tests/view/6478e76654dd118e1d98f72e LLR: 2.94 (-2.94,2.94) <-1.75,0.25> Total: 118720 W: 31402 L: 31277 D: 56041 Elo +0.37 Ptnml(0-2): 301, 13148, 32344, 13259, 308 Passed non-regression LTC vs. d99942f: https://tests.stockfishchess.org/tests/view/647a22c154dd118e1d991146 LLR: 2.94 (-2.94,2.94) <-1.75,0.25> Total: 74286 W: 20019 L: 19863 D: 34404 Elo +0.73 Ptnml(0-2): 31, 7189, 22540, 7359, 24 The earlier patch had conflicted with a faster SPRT passer, so this was tested again after rebasing on latest master. Passed non-regression STC: https://tests.stockfishchess.org/tests/view/647d6e46726f6b400e408790 LLR: 2.94 (-2.94,2.94) <-1.75,0.25> Total: 166176 W: 44309 L: 44234 D: 77633 Elo +0.16 Ptnml(0-2): 461, 18252, 45557, 18387, 431 Passed non-regression LTC: https://tests.stockfishchess.org/tests/view/647eb00ba268d1bc11255e7b LLR: 2.95 (-2.94,2.94) <-1.75,0.25> Total: 28170 W: 7713 L: 7513 D: 12944 Elo +2.47 Ptnml(0-2): 14, 2609, 8635, 2817, 10 closes https://github.com/official-stockfish/Stockfish/pull/4607 bench 2503095 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: Tue Jun 6 21:17:36 2023 +0200 Timestamp: 1686079056 Update default net to nn-0dd1cebea573.nnue Created by retraining an earlier epoch of the experiment leading to the first SFNNv6 net on a more-randomized version of the nn-e1fb1ade4432.nnue dataset mixed with unfiltered T80 apr2023 data. Trained using early-fen-skipping 28 and max-epoch 960. The trainer settings and epochs used in the 5-step training sequence leading here were: 1. train from scratch for 400 epochs, lambda 1.0, constant LR 9.75e-4, T79T77-filter-v6-dd.min.binpack 2. retrain ep379, max-epoch 800, end-lambda 0.75, T60T70wIsRightFarseerT60T74T75T76.binpack 3. retrain ep679, max-epoch 800, end-lambda 0.75, skip 28, nn-e1fb1ade4432 dataset 4. retrain ep799, max-epoch 800, end-lambda 0.7, skip 28, nn-e1fb1ade4432 dataset 5. retrain ep439, max-epoch 960, end-lambda 0.7, skip 28, shuffled nn-e1fb1ade4432 + T80 apr2023 This net was epoch 559 of the final (step 5) retraining: ```bash python3 easy_train.py \ --experiment-name L1-1536-Re4-leela96-dfrc99-T60novdec-v2-T80juntonovjanfebT79aprmayT78jantosepT77dec-v6dd-T80apr-shuffled-sk28 \ --training-dataset /data/leela96-dfrc99-T60novdec-v2-T80juntonovjanfebT79aprmayT78jantosepT77dec-v6dd-T80apr.binpack \ --nnue-pytorch-branch linrock/nnue-pytorch/misc-fixes-L1-1536 \ --early-fen-skipping 28 \ --start-lambda 1.0 \ --end-lambda 0.7 \ --max_epoch 960 \ --start-from-engine-test-net False \ --start-from-model /data/L1-1536-Re3-nn-epoch439.nnue \ --engine-test-branch linrock/Stockfish/L1-1536 \ --lr 4.375e-4 \ --gamma 0.995 \ --tui False \ --seed $RANDOM \ --gpus "0," ``` During data preparation, most binpacks were unminimized by removing positions with score 32002 (`VALUE_NONE`). This makes the tradeoff of increasing dataset filesize on disk to increase the randomness of positions in interleaved datasets. The code used for unminimizing is at: https://github.com/linrock/Stockfish/tree/tools-unminify For preparing the dataset used in this experiment: ```bash python3 interleave_binpacks.py \ leela96-filt-v2.binpack \ dfrc99-16tb7p-eval-filt-v2.binpack \ filt-v6-dd-min/test60-novdec2021-12tb7p-filter-v6-dd.min-mar2023.unmin.binpack \ filt-v6-dd-min/test80-aug2022-16tb7p-filter-v6-dd.min-mar2023.unmin.binpack \ filt-v6-dd-min/test80-sep2022-16tb7p-filter-v6-dd.min-mar2023.unmin.binpack \ filt-v6-dd-min/test80-jun2022-16tb7p-filter-v6-dd.min-mar2023.unmin.binpack \ filt-v6-dd/test80-jul2022-16tb7p-filter-v6-dd.binpack \ filt-v6-dd/test80-oct2022-16tb7p-filter-v6-dd.binpack \ filt-v6-dd/test80-nov2022-16tb7p-filter-v6-dd.binpack \ filt-v6-dd-min/test80-jan2023-3of3-16tb7p-filter-v6-dd.min-mar2023.unmin.binpack \ filt-v6-dd-min/test80-feb2023-16tb7p-filter-v6-dd.min-mar2023.unmin.binpack \ filt-v6-dd/test79-apr2022-16tb7p-filter-v6-dd.binpack \ filt-v6-dd/test79-may2022-16tb7p-filter-v6-dd.binpack \ filt-v6-dd-min/test78-jantomay2022-16tb7p-filter-v6-dd.min-mar2023.unmin.binpack \ filt-v6-dd/test78-juntosep2022-16tb7p-filter-v6-dd.binpack \ filt-v6-dd/test77-dec2021-16tb7p-filter-v6-dd.binpack \ test80-apr2023-2tb7p.binpack \ /data/leela96-dfrc99-T60novdec-v2-T80juntonovjanfebT79aprmayT78jantosepT77dec-v6dd-T80apr.binpack ``` T80 apr2023 data was converted using lc0-rescorer with ~2tb of tablebases and can be found at: https://robotmoon.com/nnue-training-data/ Local elo at 25k nodes per move vs. nn-e1fb1ade4432.nnue (L1 size 1024): nn-epoch559.nnue : 25.7 +/- 1.6 Passed STC: https://tests.stockfishchess.org/tests/view/647cd3b87cf638f0f53f9cbb LLR: 2.95 (-2.94,2.94) <0.00,2.00> Total: 59200 W: 16000 L: 15660 D: 27540 Elo +2.00 Ptnml(0-2): 159, 6488, 15996, 6768, 189 Passed LTC: https://tests.stockfishchess.org/tests/view/647d58de726f6b400e4085d8 LLR: 2.95 (-2.94,2.94) <0.50,2.50> Total: 58800 W: 16002 L: 15657 D: 27141 Elo +2.04 Ptnml(0-2): 44, 5607, 17748, 5962, 39 closes https://github.com/official-stockfish/Stockfish/pull/4606 bench 2141197 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: Tue Jun 6 21:12:24 2023 +0200 Timestamp: 1686078744 Add binaries to releases with github actions when a release is made with a tag matching sf_* the binaries will also be uploaded to the release as assets. closes https://github.com/official-stockfish/Stockfish/pull/4596 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: peregrineshahin
Date: Tue Jun 6 21:07:43 2023 +0200 Timestamp: 1686078463 Fix no previous moves on root. guards against no previous move existing if qSearch is called on the root node (i.e. when razoring). Passed Non-regression STC: https://tests.stockfishchess.org/tests/view/647d242d726f6b400e408143 LLR: 2.94 (-2.94,2.94) <-1.75,0.25> Total: 53120 W: 14167 L: 13976 D: 24977 Elo +1.25 Ptnml(0-2): 109, 5597, 14981, 5740, 133 closes https://github.com/official-stockfish/Stockfish/pull/4604 Bench: 2551691 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: Sun Jun 4 23:12:23 2023 +0200 Timestamp: 1685913143 Move internal iterative reduction before probcut This patch moves IIR before probcut which allows probcut to be produced at lower depths. Comments in IIR are also slightly updated. Passed STC: https://tests.stockfishchess.org/tests/view/6472d604d29264e4cfa749fd LLR: 2.94 (-2.94,2.94) <0.00,2.00> Total: 387616 W: 103295 L: 102498 D: 181823 Elo +0.71 Ptnml(0-2): 976, 42322, 106381, 43187, 942 Passed LTC: https://tests.stockfishchess.org/tests/view/6475eb8c4a36543c4c9f42e8 LLR: 2.94 (-2.94,2.94) <0.50,2.50> Total: 202836 W: 54901 L: 54281 D: 93654 Elo +1.06 Ptnml(0-2): 85, 19609, 61422, 20205, 97 closes https://github.com/official-stockfish/Stockfish/pull/4597 bench 2551691 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: Sun Jun 4 23:05:28 2023 +0200 Timestamp: 1685912728 Remove static eval threshold for extensions when giving check Passed non-regression STC: https://tests.stockfishchess.org/tests/view/647685d54a36543c4c9f4f2a LLR: 2.93 (-2.94,2.94) <-1.75,0.25> Total: 114688 W: 30701 L: 30571 D: 53416 Elo +0.39 Ptnml(0-2): 336, 12708, 31136, 12818, 346 Passed non-regression LTC: https://tests.stockfishchess.org/tests/view/64774b02b81f005b572de770 LLR: 2.94 (-2.94,2.94) <-1.75,0.25> Total: 107310 W: 28920 L: 28796 D: 49594 Elo +0.40 Ptnml(0-2): 33, 10427, 32621, 10531, 43 closes https://github.com/official-stockfish/Stockfish/pull/4599 bench 2597974 see source |