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

1 files changed, 0 insertions, 96 deletions

diff --git a/include/tt_llcht.c b/include/tt_llcht.c
deleted file mode 100644
index 7b2269b..0000000
--- a/include/tt_llcht.c
+++ /dev/null
@@ -1,96 +0,0 @@
-/*
-  This file is part of ct.
-
-  This program is free software: you can redistribute it and/or modify
-  it under the terms of the GNU General Public License as published by
-  the Free Software Foundation, either version 3 of the License, or
-  (at your option) any later version.
-
-  This program is distributed in the hope that it will be useful, but
-  WITHOUT ANY WARRANTY; without even the implied warranty of
-  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
-  General Public License for more details.
-
-  You should have received a copy of the GNU General Public License
-  along with ct. If not, see <https://www.gnu.org/licenses/>.
-*/
-
-#include "tt_llcht.h"
-
-// ===================================================================
-// Variables
-// ===================================================================
-
-static tt_entry_t *table[TT_LLCHT_SIZE + 1];
-
-// ===================================================================
-// Helper declarations
-// ===================================================================
-
-tt_entry_t *new_ll_node(const uint64_t key, const enum TT_FLAG flag,
-                        const uint8_t depth, const float value,
-                        const action_t action);
-
-// ===================================================================
-// Exported functions
-// ===================================================================
-
-int tt_init(void) {
-  for (uint32_t k = 0; k <= TT_LLCHT_SIZE; k++)
-    table[k] = NULL;
-  return EXIT_SUCCESS;
-}
-
-void tt_free(void) {
-  tt_entry_t *n, *nn;
-  for (uint32_t k = 0; k <= TT_LLCHT_SIZE; k++) {
-    n = table[k];
-    while (n) {
-      nn = n->next;
-      free(n);
-      n = nn;
-    }
-  }
-}
-
-tt_entry_t *tt_seek(const uint64_t key) {
-  tt_entry_t *lookup = table[key & TT_LLCHT_SIZE];
-  while (lookup && lookup->key != key)
-    lookup = lookup->next;
-  return lookup;
-}
-
-int tt_insert(const uint64_t key, const enum TT_FLAG flag, const uint8_t depth,
-              const float value, const action_t action) {
-  tt_entry_t *new = new_ll_node(key, flag, depth, value, action), *n;
-  // TODO: trap
-
-  const uint32_t idx = key & TT_LLCHT_SIZE;
-  if ((n = table[idx]) != NULL) {
-    for (; n->next != NULL; n = n->next)
-      ;
-    n->next = new;
-  } else {
-    table[idx] = new;
-  }
-
-  return EXIT_SUCCESS;
-}
-
-// ===================================================================
-// Helper function implementations
-// ===================================================================
-
-tt_entry_t *new_ll_node(const uint64_t key, const enum TT_FLAG flag,
-                        const uint8_t depth, const float value,
-                        const action_t action) {
-  tt_entry_t *new = malloc(sizeof(struct tt_node_s));
-  // TODO: trap errno
-  new->key = key;
-  new->next = NULL;
-  new->flag = flag;
-  new->depth = depth;
-  new->value = value;
-  new->action = action;
-  return new;
-}