Changes

'''HalfKAv2''' as applied in Stockfish '''14''' saves some space considering the king square redundancy using 11x64x64 = 45056 inputs per side, mapped to a 2x520 linear feature transformer <ref>[https://github.aom/official-stockfish/Stockfish/commit/e8d64af1230fdac65bb0da246df3e7abe82e0838 New NNUE architecture and net · official-stockfish/Stockfish@e8d64af · GitHub]</ref> <ref>[https://github.com/official-stockfish/Stockfish/pull/3474 Update default net to nn-8a08400ed089.nnue by Sopel97 · Pull Request #3474 · official-stockfish/Stockfish · GitHub]</ref> <ref>[https://github.com/glinscott/nnue-pytorch/blob/master/docs/nnue.md#halfkav2-feature-set HalfKAv2 feature set | nnue-pytorch/nnue.md at master · glinscott/nnue-pytorch · GitHub]</ref>, further feeding 8x2 outputs of this feature transformer directly to the output for better learning of unbalanced material configurations <ref>[https://github.com/glinscott/nnue-pytorch/blob/master/docs/nnue.md#a-part-of-the-feature-transformer-directly-forwarded-to-the-output A part of the feature transformer directly forwarded to the output | nnue-pytorch/nnue.md at master · glinscott/nnue-pytorch · GitHub]</ref>. Another improvement was using eight 512x2->16->32->1 output sub-networks discriminated by (piece_count-1) div 4 in the 0 to 7 range

<ref>[https://github.com/glinscott/nnue-pytorch/blob/master/docs/nnue.md#multiple-psqt-outputs-and-multiple-subnetworks Multiple PSQT outputs and multiple subnetworks | nnue-pytorch/nnue.md at master · glinscott/nnue-pytorch · GitHub]</ref>.

[[FILE:HalfKAv2.png|none|border|text-bottom|1024px]]

=Network=