TalkChess.com

How do you build an android executable with pgo with the NDK? I've tried with these commands: $(NDK)/aarch64-linux-android21-clang ./main.c -s -static -pthread -O3 -flto -std=gnu11 -DNDEBUG -Wall -Wextra -lm -march=armv8-a -DNEON -fPIE -o ./Pedone_armv8 -fprofile-generate qemu-aarch64 ./Pedone_armv8...

Here you can find a translation of the original paper: http://talkchess.com/forum3/viewtopic.php?f=2&t=76250 And here an explanation of how works the neural network in stockfish: https://www.chessprogramming.org/Stockfish_NNUE Question 1: You are correct Question 2: It's efficient because you have a...

Yes it's original, I've not used stockfish code, I've implemented only a similar idea with small differences to the net and with my own training code.
The net has been trained with 300M positions evaluated by Pedone with traditional evaluation at depth 14.

I've just released a new version of my engine. These are the changes: - Pure neural network evaluation - Tuning search parameters - Fix a bug in chess960 mode - Improved futility pruning formula For this release I would like to thank Dale Weiler for the header incbin used to embed the neural network...

I have seen that the site has an old Pedone's version, to have always the latest one I suggest to add a link to Pedone's webpage https://sites.google.com/site/pedonechess

I don't know exactly why but this is the compilation command: Maybe -fPIE could make the difference but I'm not an expert of arm environments.

I would like to test some other things and maybe for January I will release a new version.

Yes Pedone is now using NNUE. I have implemented my own network with included castle rights and with independent weights for the both sides. For the training I have used 14 depth search score of Pedone with traditional evaluation and I have used a simple SGD to train the net. I'm not an expert on NN...

For every tb position I compute a material score of the position and I try to estimate the distance to mate. For a bigger material advantage I give a lower distance to mate and for a smaller advantage I give an higher distance to mate. A tb win must always be a lower bound while a tb loss must alwa...