!! latest version !!Windows x64 for Haswell CPUsWindows x64 for modern computers + AVX2Windows x64 for modern computersWindows x64 + SSSE3Windows x64Linux x64 for Haswell CPUsLinux x64 for modern computers + AVX2Linux x64 for modern computersLinux x64 + SSSE3Linux x64Author: Joost VandeVondele
Date: Tue Apr 19 19:59:04 2022 +0200
Timestamp: 1650391144
Update default net to nn-d0b74ce1e5eb.nnue
train a net using training data with a
heavier weight on positions having 16 pieces on the board. More specifically,
with a relative weight of `i * (32-i)/(16 * 16)+1` (where i is the number of pieces on the board).
This is done with the trainer branch
https://github.com/glinscott/nnue-pytorch/pull/173 The command used is:
```
python train.py $datafile $datafile $restarttype $restartfile --gpus 1 --threads 4 --num-workers 12 --random-fen-skipping=3 --batch-size 16384 --progress_bar_refresh_rate 300 --smart-fen-skipping --features=HalfKAv2_hm^ --lambda=1.00 --max_epochs=$epochs --seed $RANDOM --default_root_dir exp/run_$i
```
The datafile is T60T70wIsRightFarseerT60T74T75T76.binpack, the restart is from the master net.
passed STC:
LLR: 2.94 (-2.94,2.94) <0.00,2.50>
Total: 22728 W: 6197 L: 5945 D: 10586
Elo +3.85Ptnml(0-2): 105, 2453, 6001, 2695, 110
https://tests.stockfishchess.org/tests/view/625cf944ff677a888877cd90 passed LTC:
LLR: 2.94 (-2.94,2.94) <0.50,3.00>
Total: 35664 W: 9535 L: 9264 D: 16865
Elo +2.64Ptnml(0-2): 30, 3524, 10455, 3791, 32
https://tests.stockfishchess.org/tests/view/625d3c32ff677a888877d7ca closes
https://github.com/official-stockfish/Stockfish/pull/3989 Bench: 7269563
see source
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