From 241156da6f35cb888253e6b8814e7b61a76b4fc7 Mon Sep 17 00:00:00 2001 From: tslil Date: Sun, 30 Aug 2026 19:46:07 +0100 Subject: TD(lambda), and a big rework NOTE: 6x6 weights are as-yet untrained On the performance side: * switch from linked-list chaining hash table to direct mapping * cache check_win by hash * persist transposition tables across plies (this was a big deal and difficult to puzzle out) * add align directives to the network floats * prepare_nn_input gained a small LUT to avoid branching (i suppose you might call this 1D embedding) * apply mtune=native for the native builds On the correctness side: * Zobrist has now includes the ply parity * the network now predicts something in [-1, 1] using tanh (approximated by polynomials) * the training object is now MSE because we're learning a value estimate * use .clangd instead of compile_commands.json On the training side: * completely forgo human-derived data set * implement td(lambda), self-play, tournaments --- .clangd | 13 +++++++++++++ 1 file changed, 13 insertions(+) create mode 100644 .clangd (limited to '.clangd') diff --git a/.clangd b/.clangd new file mode 100644 index 0000000..3c5c504 --- /dev/null +++ b/.clangd @@ -0,0 +1,13 @@ +# clangd's fallback command runs in the source file's own directory, so the +# relative -I flags below resolve per file: +# -I. -> include/, for files inside include/ +# -I../include -> include/, for files inside src/ +CompileFlags: + Add: + - -std=c99 + - -I. + - -I../include + - -D_DEFAULT_SOURCE + - -Wall + - -Wextra + - -Wpedantic -- cgit v1.3.1