Latest abrok Development Version July 1st Update NNUE architecture to SFNNv7 with larger L1 size of 2048 (SF The gift that keeps on giving

!! latest version !!


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 Jul 1 13:34:30 2023 +0200
Timestamp: 1688211270

Update NNUE architecture to SFNNv7 with larger L1 size of 2048

Creating this net involved:
- a 5-step training process from scratch
- greedy permuting L1 weights with https://github.com/official-stockfish/Stockfish/pull/4620
- leb128 compression with https://github.com/glinscott/nnue-pytorch/pull/251
- greedy 2- and 3- cycle permuting with https://github.com/official-stockfish/Stockfish/pull/4640

The 5 training steps were:

1. 400 epochs, lambda 1.0, lr 9.75e-4
UHOx2-wIsRight-multinet-dfrc-n5000-largeGensfen-d9.binpack (178G)
nodes5000pv2_UHO.binpack
data_pv-2_diff-100_nodes-5000.binpack
wrongIsRight_nodes5000pv2.binpack
multinet_pv-2_diff-100_nodes-5000.binpack
dfrc_n5000.binpack
large_gensfen_multipvdiff_100_d9.binpack
ep399 chosen as start model for step2

2. 800 epochs, end-lambda 0.75, skip 16
LeelaFarseer-T78juntoaugT79marT80dec.binpack (141G)
T60T70wIsRightFarseerT60T74T75T76.binpack
test78-junjulaug2022-16tb7p.no-db.min.binpack
test79-mar2022-16tb7p.no-db.min.binpack
test80-dec2022-16tb7p.no-db.min.binpack
ep559 chosen as start model for step3

3. 800 epochs, end-lambda 0.725, skip 20
leela96-dfrc99-v2-T80dectofeb-sk20-mar-v6-T77decT78janfebT79apr.binpack (223G)
leela96-filt-v2.min.binpack
dfrc99-16tb7p-eval-filt-v2.min.binpack
test80-dec2022-16tb7p-filter-v6-sk20.min-mar2023.binpack
test80-jan2023-16tb7p-filter-v6-sk20.min-mar2023.binpack
test80-feb2023-16tb7p-filter-v6-sk20.min-mar2023.binpack
test80-mar2023-2tb7p-filter-v6.min.binpack
test77-dec2021-16tb7p.no-db.min.binpack
test78-janfeb2022-16tb7p.no-db.min.binpack
test79-apr2022-16tb7p.no-db.min.binpack
ep499 chosen as start model for step4

4. 800 epochs, end-lambda 0.7, skip 24
0dd1cebea57 dataset https://github.com/official-stockfish/Stockfish/pull/4606
ep599 chosen as start model for step5

5. 800 epochs, end-lambda 0.7, skip 28
same dataset as step4
ep619 became nn-1b951f8b449d.nnue

For the final step5 training:

python3 easy_train.py \
--experiment-name L1-2048-S5-sameData-sk28-S4-0dd1cebea57-shuffled-S3-leela96-dfrc99-v2-T80dectofeb-sk20-mar-v6-T77decT78janfebT79apr-sk20-S2-LeelaFarseerT78T79T80-ep399-S1-UHOx2-wIsRight-multinet-dfrc-n5000-largeGensfen-d9 \
--training-dataset /data/leela96-dfrc99-T60novdec-v2-T80juntonovjanfebT79aprmayT78jantosepT77dec-v6dd-T80apr.binpack \
--early-fen-skipping 28 \
--nnue-pytorch-branch linrock/nnue-pytorch/misc-fixes-L1-2048 \
--engine-test-branch linrock/Stockfish/L1-2048 \
--start-from-engine-test-net False \
--start-from-model /data/experiments/experiment_L1-2048-S4-0dd1cebea57-shuffled-S3-leela96-dfrc99-v2-T80dectofeb-sk20-mar-v6-T77decT78janfebT79apr-sk20-S2-LeelaFarseerT78T79T80-ep399-S1-UHOx2-wIsRight-multinet-dfrc-n5000-largeGensfen-d9/training/run_0/nn-epoch599.nnue
--max_epoch 800 \
--lr 4.375e-4 \
--gamma 0.995 \
--start-lambda 1.0 \
--end-lambda 0.7 \
--tui False \
--seed $RANDOM \
--gpus 0

SF training data components for the step1 dataset:
https://drive.google.com/drive/folders/1yLCEmioC3Xx9KQr4T7uB6GnLm5icAYGU

Leela training data for steps 2-5 can be found at:
https://robotmoon.com/nnue-training-data/

Due to larger L1 size and slower inference, the speed penalty loses elo
at STC. Measurements from 100 bench runs at depth 13 with x86-64-modern
on Intel Core i5-1038NG7 2.00GHz:

sf_base = 1240730 +/- 3443 (95%)
sf_test = 1153341 +/- 2832 (95%)
diff = -87388 +/- 1616 (95%)
speedup = -7.04330% +/- 0.130% (95%)

Local elo at 25k nodes per move (vs. L1-1536 nn-fdc1d0fe6455.nnue):
nn-epoch619.nnue : 21.1 +/- 3.2

Failed STC:
https://tests.stockfishchess.org/tests/view/6498ee93dc7002ce609cf979
LLR: -2.95 (-2.94,2.94) <0.00,2.00>
Total: 11680 W: 3058 L: 3299 D: 5323 Elo -7.17
Ptnml(0-2): 44, 1422, 3149, 1181, 44

LTC:
https://tests.stockfishchess.org/tests/view/649b32f5dc7002ce609d20cf
Elo: 0.68 ± 1.5 (95%) LOS: 80.5%
Total: 40000 W: 10887 L: 10809 D: 18304 Elo +0.68
Ptnml(0-2): 36, 3938, 11958, 4048, 20
nElo: 1.50 ± 3.4 (95%) PairsRatio: 1.02

Passed VLTC 180+1.8:
https://tests.stockfishchess.org/tests/view/64992b43dc7002ce609cfd20
LLR: 3.06 (-2.94,2.94) <0.00,2.00>
Total: 38086 W: 10612 L: 10338 D: 17136 Elo +2.50
Ptnml(0-2): 9, 3316, 12115, 3598, 5

Passed VLTC SMP 60+0.6 th 8:
https://tests.stockfishchess.org/tests/view/649a21fedc7002ce609d0c7d
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 38936 W: 11091 L: 10820 D: 17025 Elo +2.42
Ptnml(0-2): 1, 2948, 13305, 3207, 7

closes https://github.com/official-stockfish/Stockfish/pull/4646

Bench: 2505168
see source