Optimization of the net biases of the 32 x 32 layer and the output layer.
Tuning of 32 x 32 layer (200k games, 5 seconds TC)
https://tests.stockfishchess.org/tests/view/
5f9aaf266a2c112b60691c68
STC:
LLR: 2.95 (-2.94,2.94) {-0.25,1.25}
Total: 41848 W: 4665 L: 4461 D: 32722
Ptnml(0-2): 239, 3308, 13659, 3446, 272
https://tests.stockfishchess.org/tests/view/
5fa5ef5a936c54e11ec9954f
LTC:
LLR: 2.94 (-2.94,2.94) {0.25,1.25}
Total: 88008 W: 4045 L: 3768 D: 80195
Ptnml(0-2): 69, 3339, 36908, 3622, 66
https://tests.stockfishchess.org/tests/view/
5fa62a78936c54e11ec99577
closes https://github.com/official-stockfish/Stockfish/pull/3220
Bench:
3649288
// 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.
// 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-cb26f10b1fd9.nnue"
+ #define EvalFileDefaultName "nn-c3ca321c51c9.nnue"