New net trained with nnue-pytorch, started from a master net on a data set of Leela
(T60.binpack+T74.binpck) Stockfish data (wrongIsRight_nodes5000pv2.binpack), and
Michael Babigian's conversion of T60 Leela data (including TB7 rescoring) (farseer.binpack)
available as a single interleaved binpack:
https://drive.google.com/file/d/1_sQoWBl31WAxNXma2v45004CIVltytP8/view?usp=sharing
The nnue-pytorch branch used is https://github.com/vondele/nnue-pytorch/tree/wdl
passed STC:
https://tests.stockfishchess.org/tests/view/
61a3cc729f0c43dae1c71f1b
LLR: 2.95 (-2.94,2.94) <0.00,2.50>
Total: 49152 W: 12842 L: 12544 D: 23766
Ptnml(0-2): 154, 5542, 12904, 5804, 172
passed LTC:
https://tests.stockfishchess.org/tests/view/
61a43c6260afd064f2d724f1
LLR: 2.96 (-2.94,2.94) <0.50,3.00>
Total: 25528 W: 6676 L: 6425 D: 12427
Ptnml(0-2): 9, 2593, 7315, 2832, 15
closes https://github.com/official-stockfish/Stockfish/pull/3816
Bench:
6885242
// The default net name MUST follow the format nn-[SHA256 first 12 digits].nnue
// for the build process (profile-build and fishtest) to work. Do not change the
// name of the macro, as it is used in the Makefile.
- #define EvalFileDefaultName "nn-3678835b1d3d.nnue"
+ #define EvalFileDefaultName "nn-4f56ecfca5b7.nnue"
namespace NNUE {