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-rw-r--r--Makefile2
-rw-r--r--include/weights_5.c550
-rw-r--r--include/weights_6.c678
-rw-r--r--include/xorshift64.h2
-rw-r--r--src/match.c52
-rwxr-xr-xsrc/nn_train.py152
-rw-r--r--src/selfplay.c74
7 files changed, 763 insertions, 747 deletions
diff --git a/Makefile b/Makefile
index 37f8428..0060fb9 100644
--- a/Makefile
+++ b/Makefile
@@ -31,7 +31,7 @@ clean:
rm -f src/*.o include/*.o
native: CFLAGS += $(NATIVE_FLAGS)
-native: clean ctlm cttei geminict
+native: ctlm cttei geminict
.PHONY: selfplay
selfplay:
diff --git a/include/weights_5.c b/include/weights_5.c
index 5648011..46f35a3 100644
--- a/include/weights_5.c
+++ b/include/weights_5.c
@@ -1,294 +1,294 @@
/* generated by nn_train.py, do not edit by hand */
-/* v010, val_corr=0.9136, rate=0.7714 */
+/* v011, val_corr=0.9400, rate=0.6546 */
#include "weights_5.h"
const float five_embedding[7] =
{
- -0.352801919, -0.851079345, -0.213445649, -1.34711647, 0.884809256, 0.307861924, 0.994306982
+ 0.0261116344, -0.641920149, -0.144219667, -0.850418866, 0.711006284, 0.202511862, 0.586704791
};
const float five_dense_weights[FIVE_DENSE_NUM][FIVE_INP_NUM] NN_ALIGNED =
{
- {-0.0327966809, -0.849028409, 0.320328206, 0.0664111227, 0.155971751, 0.136044472, -0.00183201977, 0.0259891637,
- -0.103044406, -0.0878473818, -0.111988924, -0.0281787626, 0.0233191121, 0.0340672508, -0.116517693, 0.0786981806,
- -0.033087898, -0.0191416461, -0.0418186784, 0.0299366601, 0.129078865, 0.210277751, -0.0878753513, -0.16809991,
- 0.183557138, 0.0773182437, 0.00833065622, -0.129053324},
- {-0.232422128, -0.370269567, 0.0436205007, 0.118296452, 0.276195407, 0.0144479489, 0.0654506907, 0.158887953,
- 0.191858098, -0.0517155342, -0.244451404, -0.125561059, -0.0896938592, 0.0359078906, -0.210722655, 0.0546264574,
- -0.000386662432, -0.203128114, -0.110388502, 0.0506071635, -0.0311401319, -0.220078811, -0.267996103, -0.0645042881,
- -0.0720345527, -0.0144871268, 0.0379357971, 0.19760336},
- {0.143517047, 0.461968422, -0.0368016027, -0.0532734208, 0.0322881229, 0.0898226947, 0.0915338397, 0.0190777127,
- 0.133846223, 0.142191216, -0.0915253386, -0.306803763, -0.0380108915, -0.129703835, -0.199441567, 0.000432319532,
- -0.274927408, 0.151206657, 0.149368867, -0.0311864335, 0.10706003, -0.250302374, 0.0135332439, -0.0247054715,
- -0.144645497, 0.012202654, 0.127603009, -0.261716813},
- {0.37940985, -0.762116253, 0.262937844, 0.196448311, 0.128611773, 0.143141568, 0.0354653858, 0.0714338198,
- 0.0526182391, -0.0284320787, -0.0909866616, 0.00160601118, -0.0131304376, -0.0087870378, -0.0790232494, 0.170186028,
- 0.0124546411, 0.24668017, -0.123244673, 0.114249617, 0.0507926047, 0.0301113036, 0.0254878979, 0.0012888104,
- 0.0481759012, 0.132455707, -0.0525954738, -0.0175022539},
- {0.074402608, 0.260246873, -0.276144296, -0.0815522224, 0.197062433, -0.06345281, -0.100271419, -0.106380343,
- -0.0884729922, 0.166795343, 0.0396520607, -0.0688257292, -0.22026509, 0.198000178, 0.190615907, 0.21529144,
- -0.111042753, -0.104039237, 0.141359493, -0.0413182974, 0.0707519352, 0.176101342, 0.0630806237, 0.0369620025,
- -0.00754281459, 0.26548624, 0.329247683, 0.0936621875},
- {0.196199581, -0.777962685, 0.222963452, 0.144866258, 0.299427301, -0.170608833, -0.0107537732, 0.0334474221,
- -0.0545026101, -0.170532703, -0.0955553353, 0.0886289254, -0.144142464, -0.108097322, 0.36247465, 0.0131274331,
- 0.00348300766, 0.0561952814, -0.147253215, -0.100337073, -0.0917735919, -0.139391139, 0.109980658, 0.0572417304,
- 0.0207896996, -0.23384586, 0.0384591594, -0.230361491},
- {0.125237495, 0.255875736, -0.731187284, -0.00486617349, 0.064308472, 0.0240294375, 0.0664017275, 0.024102632,
- -0.0158604141, 0.255495459, 0.219094172, 0.252941221, -0.180225447, 0.306452423, 0.087368533, -0.000120467637,
- 0.107433036, 0.0402439535, 0.00487702852, 0.0846315399, -0.0223551802, 0.0620370544, 0.206932738, 0.0978457034,
- 0.0170694906, 0.239671543, 0.183153465, 0.222705886},
- {-0.015978042, 0.495313853, -0.0727920309, -0.0695979372, -0.0934259444, -0.188311845, -0.0930854827, -0.0258944891,
- -0.10962186, 0.00085817551, 0.113096714, 0.151041895, -0.0145681174, -0.0232806094, 0.116716482, -0.0321872234,
- 0.0127832396, -0.127705872, 0.0211655833, -0.0124515155, 0.145493716, -0.00473560253, -0.199193865, 0.0644743815,
- 0.266671836, 0.227437541, 0.104297556, -0.0958255976},
- {0.177132919, -0.477607757, 0.144386053, 0.160813257, 0.0411900207, -0.0375679731, -0.0877529383, -0.318532139,
- 0.147213399, 0.0386164039, -0.14660874, 0.0772071481, 0.154627398, 0.0516344272, 0.25825727, -0.34341836,
- -0.154420316, 0.0126185371, 0.114462152, -0.0210530255, 0.0650884658, -0.158406928, 0.20796679, 0.311294734,
- -0.0307657998, 0.220018804, 0.0843197182, 0.0318490267},
- {-0.143348619, 0.57723707, -0.167421147, 0.0432183556, 0.0963400528, -0.0632183403, 0.0160206761, 0.153261781,
- 0.17568545, 0.21255073, 0.139270023, -0.0744754225, 0.162524521, -0.356016427, -0.0135601126, 0.00355843524,
- -0.0459654592, 0.182051256, 0.0428424925, 0.249047101, -0.0521542728, 0.0470912047, -0.00493410742, -0.0362312645,
- 0.0551555827, -0.15180932, 0.0567677952, -0.127837405},
- {-0.177759811, -0.399459153, 0.362479776, -0.231218308, -0.0571496971, -0.215457886, -0.041013632, -0.155303478,
- -0.00365723623, -0.0360452794, 0.086675778, 0.0946387649, -0.0596231334, -0.0528809465, -0.0608507916, 0.0974357054,
- 0.15666078, 0.144844159, -0.233142078, -0.0683881193, -0.197862208, 0.0079383431, -0.0491543636, -0.237530455,
- 0.0869428143, -0.0155181047, 0.14296563, -0.203361988},
- {-0.135610953, -0.515577078, 0.187429383, -0.386475623, -0.263546288, -0.189983353, -0.183594242, 0.0614784621,
- 0.101142682, -0.0507217459, 0.0219676979, -0.0499989986, 0.0447606258, 0.00985840801, -0.118195668, -0.125932857,
- -0.126534969, 0.162314728, -0.0228499919, 0.10694021, 0.0450071394, 0.0233288463, 0.0638386384, 0.181355521,
- 0.161386982, 0.253616393, -0.0185366403, -0.0103700431},
- {0.116066948, 0.230095431, -0.577219665, -0.00176732871, -0.0354329534, -0.184090063, 0.0063507217, 0.0104860207,
- 0.187727243, 0.164154455, -0.0068182447, 0.450454444, 0.0753799006, 0.161530346, 0.100438818, -0.242872655,
- 0.235181689, 0.0256177448, -0.0181338936, -0.0927853286, -0.26312992, 0.136945054, -0.175206229, -0.0988252237,
- -0.0631639063, -0.255761683, -0.163861006, 0.106347635},
- {-0.0344641991, 0.274572223, -0.345863968, -0.122686431, 0.0927828476, -0.192586705, 0.109781772, 0.0370874107,
- -0.0434339605, 0.0172786023, 0.146092772, -0.284762889, -0.0538897403, 0.137360573, -0.125977561, -0.0443444066,
- 0.336072117, 0.0786332563, -0.0310949516, -0.0446783081, -0.171269313, -0.0507826805, 0.25020206, 0.0226673484,
- -0.21485059, 0.253266126, -0.237181798, 0.0952570587},
- {0.229862884, 0.0956004262, -0.272337317, 0.152852312, 0.155451983, 0.179551527, 0.231330171, -0.0967956483,
- 0.212853789, 0.121237807, 0.0236221664, -0.0206717327, 0.334097952, -0.172256872, 0.160187855, 0.00531522091,
- -0.0434170552, 0.272546887, 0.159098446, -0.0934782103, 0.168242097, 0.118903928, 0.0312071871, 0.336537451,
- 0.31537354, -0.300766915, -0.00848419033, -0.115319557},
- {-0.355654269, 0.0498101525, -1.15184617, -0.20529826, 0.124733545, 0.0494314358, -0.155878648, -0.0435665511,
- 0.0997435674, 0.165121913, 0.211950243, 0.244017676, -0.00921800453, 0.0786220804, 0.106060654, 0.0370148942,
- 0.16638127, -0.0690576211, 0.101131886, 0.197833538, 0.184425309, 0.182694569, 0.273633808, 0.304017037,
- 0.264311314, 0.180245876, 0.220357925, 0.169165999},
- {0.0476071648, 0.575009942, 0.0240747761, -0.00991211552, -0.118370712, 0.120641254, -0.182885289, 0.0205270611,
- -0.162992015, 0.114992462, -0.0377214141, -0.111040004, 0.164136425, 0.198002562, -0.0279242396, -0.0862916112,
- -0.0147629771, 0.176555663, 0.190007567, -0.0220985059, 0.10779497, 0.0305426661, -0.00504364446, -0.061483372,
- 0.00220328593, -0.151691139, -0.18975012, -0.0886880532},
- {0.0942182094, -1.02115965, 0.0954312235, -0.0614463389, 0.0582791232, -0.211247653, 0.120826431, -0.0263190717,
- -0.0429489613, 0.0438488349, 0.108414263, 0.286097229, 0.0486925356, -0.00557497423, -0.386668414, 0.116027936,
- 0.159973353, -0.0378721952, -0.147194281, 0.0364145115, -0.138756022, 0.0840869546, 0.0988396257, 0.199231848,
- -0.16837652, -0.218392238, 0.0364278741, 0.184144482},
- {0.0313743576, 0.464891553, -0.343129277, 0.0745515227, 0.133510157, -0.130122691, 0.204167008, 0.183675036,
- 0.163727522, -0.0306751318, -0.0975880995, 0.300920784, 0.0403036363, 0.0165737085, -0.0506653748, 0.306970119,
- 0.0347042456, 0.122590847, 0.137978703, -0.337507486, 0.072252959, -0.0753405616, -0.13210395, 0.0820999891,
- -0.151417568, -0.228030756, 0.278595537, -0.166134581},
- {0.0749740228, 0.383804917, -0.244671553, -0.0318614729, -0.122872017, 0.111543134, -0.059995994, -0.207018256,
- -0.15501295, -0.0396881066, 0.0188584458, -0.158006668, -0.136983156, -0.146490023, -0.119557768, 0.0274210349,
- 0.189562142, 0.0979207903, 0.187646285, 0.305040985, -0.103709385, -0.1757451, 0.0526049584, 0.135050699,
- 0.0981734395, -0.0416866057, 0.0656170994, -0.113399491},
- {0.111926369, 0.631603658, -0.213556454, -0.208104923, -0.00973121449, -0.0353202149, -0.0976402387, 0.0449560247,
- -0.0954720303, -0.209680378, 0.18582876, -0.0749629959, 0.136392593, 0.118229896, -0.124932677, 0.0410939157,
- 0.140551493, -0.0477282181, -0.0566262752, -0.0277045444, 0.0501787104, 0.103633828, -0.0787583515, -0.170118868,
- -0.0399634317, 0.0881562829, 0.13748309, -0.0653122738},
- {0.0422349945, 0.268487811, -0.371606022, -0.240228266, 0.152170882, 0.181562856, -0.0260443613, 0.0313097723,
- 0.0791669488, 0.00669098739, 0.0367588401, 0.100363895, -0.103536002, -0.160531029, -0.129726171, 0.115801521,
- 0.183067113, -0.0064961426, 0.20049791, 0.0229622722, 0.224132463, 0.132634297, 0.0431498997, 0.292030126,
- -0.20329383, -0.321311265, 0.380737811, 0.0533876978},
- {0.0423549935, 0.545092583, -0.0056740921, -0.0579509884, 0.186991572, -0.0511583164, 0.0363087691, -0.013058072,
- -0.0792236552, -0.0565847829, 0.228842065, 0.102448463, -0.310782939, 0.0870372429, 0.00986074284, 0.0135655776,
- 0.0871979743, -0.0234711487, 0.126438633, -0.049873516, -0.0199311897, -0.112338968, -0.102786727, -0.0444611907,
- -0.080532141, 0.0333675183, -0.374372333, -0.0631537363},
- {0.320916384, -0.850471079, 0.36133939, -0.0264140144, 0.0270986855, -0.0817172825, -0.0899385288, 0.105402164,
- 0.0404002219, 0.0527301542, -0.0897375271, 0.0683722198, -0.30544129, 0.16623114, 0.102807485, 0.138525441,
- 0.0128897438, 0.048605945, 0.127630606, -0.0460698865, -0.0285244118, -0.0167056993, 0.136670813, 0.363035947,
- -0.0855078623, 0.200538412, -0.0854634196, 0.0674120039},
- {0.17211771, 0.418086618, -0.987294972, 0.0548037775, 0.030457316, 0.130074278, 0.114169322, 0.291047484,
- 0.0958323926, 0.121433266, -0.0400433503, 0.0543242656, 0.0787405372, 0.277183324, 0.00192958582, -0.00355765177,
- 0.279254735, 0.0227443743, 0.104033187, 0.193143278, -0.0147462944, 0.0827552304, 0.0353738442, 0.20449385,
- 0.271232247, 0.00591993658, 0.0661802739, 0.0266063362},
- {-0.0284264255, 0.307593435, -0.388084114, -0.128581509, 0.0620412342, 0.216876224, -0.102445893, -0.0747132823,
- -0.0188075863, -0.0261255819, 0.231668234, -0.294057548, 0.14395383, 0.360745192, 0.00237776805, -0.0177536439,
- -0.0658051148, 0.112701818, 0.302921802, -0.00463867886, -0.202124089, 0.0665696114, 0.0152385999, 0.160947472,
- 0.0765458494, -0.0139753614, 0.021561861, -0.134680942},
- {-0.0620607771, 0.2569969, -0.602090001, 0.170079336, -0.00421804516, -0.0612058714, 0.134604931, 0.158751324,
- -0.0202514976, 0.317886651, 0.294003904, -0.0854902416, -0.189069107, -0.163591623, 0.0499041155, -0.00480309827,
- -0.0270436388, 0.0513930246, 0.0968223736, -0.0291808061, 0.225834519, 0.204818681, 0.18821992, 0.0158534329,
- 0.192891344, 0.347846657, 0.189079523, 0.240709171},
- {0.237171113, -1.07444179, 0.0595385209, 0.0428114906, -0.401686192, 0.135821328, -0.0996614397, -0.0802449062,
- -0.176611021, 0.0751923025, 0.0679159686, 0.0336508043, 0.00897729769, 0.070944421, -0.0390727073, 0.0624247789,
- 0.0806902051, 0.0497563519, 0.0425027497, -0.156341523, 0.0358913802, 0.121682912, 0.182410672, 0.087373063,
- -0.0486592948, -0.25909099, -0.0857482255, 0.130385041},
- {-0.266789138, -0.714672029, 0.0457348563, -0.247173101, 0.054149121, 0.102863722, 0.261150658, 0.220601916,
- -0.155780375, -0.0495292619, -0.243629262, -0.163746133, -0.0705772713, -0.0909804702, -0.0981470868, 0.0144898901,
- 0.0119194267, -0.101180434, -0.0384970829, 0.193168938, 0.154063746, -0.0160782486, -0.149629474, 0.275630146,
- 0.0725567192, -0.00868660677, -0.0179361291, 0.0192434676},
- {0.25597316, -0.628643692, 0.325987846, -0.0454979911, -0.193986222, 0.0625185519, 0.0740609989, 0.224848032,
- 0.0214435272, 0.111464649, 0.0383397378, -0.0101018669, 0.12763834, -0.0285931267, -0.154859692, -0.0583917983,
- 0.0629568174, 0.234438449, -0.0632330477, -0.184572533, 0.186874047, 0.21661669, 0.0223642346, -0.0295572262,
- 0.0833248794, 0.0430041738, -0.0272386931, 0.0538445935},
- {-0.255340785, -0.431446224, 0.255294144, -0.207291782, -0.275969774, 0.146399915, 0.0671700314, 0.0685254335,
- -0.0442528576, 0.0366354473, -0.0322947614, -0.138840735, 0.0564336963, -0.191869691, 0.0379548222, -0.0347893685,
- -0.0374535695, 0.0111376438, 0.141148508, -0.0474141277, -0.06148348, -0.10512948, 0.0347383581, -0.155976951,
- -0.115071684, 0.0716684088, 0.0650277957, -0.193132892},
- {-0.0198248103, -0.665595949, 0.308424711, -0.117144257, -0.143422335, 0.0635467619, 0.114446886, -0.199472398,
- -0.153535321, -0.185896367, 0.0283037946, -0.0296921283, -0.189039126, 0.0107260458, -0.287400633, 0.111975417,
- 0.000890996889, 0.00379971997, 0.0389732495, 0.124051832, -0.0673095882, -0.138007298, 0.00296997116, -0.125482947,
- -0.0722345486, 0.017665023, -0.0432299785, 0.23013787},
- {-0.0938796028, 0.26599741, 0.179452583, 0.156520754, 0.0592871495, -0.182271212, -0.164303228, 0.0217962675,
- -0.0251196697, 0.0123819718, -0.141588062, -0.0507559627, 0.113781102, -0.398992389, 0.0599240512, 0.0568731055,
- -0.0264107157, -0.00281195692, -0.0121255908, 0.000793193583, -0.13898012, -0.0929844975, -0.0130555136, -0.190079406,
- -0.125057548, -0.237495512, -0.279263943, 0.0154267624},
- {0.184870228, -0.424799025, 0.265541464, -0.0800969601, -0.0424672961, 0.013786165, 0.0454911254, 0.136813939,
- 0.0233796611, -0.0624747984, 0.115257308, -0.333082497, 0.0254497938, -0.0702610388, 0.152677387, 0.00233586971,
- -0.0344050899, 0.19816874, -0.0392915718, -0.00751153147, -0.276451588, 0.101876259, 0.0540470704, 0.00921946298,
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+ -0.00181894924, 0.0493471175, 0.0250982866, -0.0190498978, 0.00276167481, -0.0269715656, -0.0739222467, 0.134483591,
+ 0.0263108686, 0.0611026175, 0.0121877184, -0.0847713724},
+ {-0.0463094376, -0.31769073, 0.573892534, 0.0165524483, -0.10305284, -0.0171411838, -0.130577281, -0.0408681631,
+ 0.00959708448, 0.0133282375, -0.00448762579, -0.0354050919, -0.0144087151, -0.0872698054, -0.0649594888, -0.0877617151,
+ 0.07839147, 0.0668429136, -0.0825196803, -0.148653835, -0.048380591, 0.0265773032, -0.0499864854, -0.127240494,
+ -0.151553094, -0.165618286, -0.129611924, 0.0662121475},
+ {0.0678934529, -0.0329933092, -0.332626253, 0.138327047, 0.0749104172, 0.0627461895, 0.115959436, 0.0596721917,
+ 0.0995780081, 0.0944749191, 0.0319600888, 0.0854233876, 0.0206682123, 0.0744805709, 0.129730478, 0.14406319,
+ 0.170254037, 0.0599952154, 0.119277693, 0.138892755, 0.0908197016, 0.162339121, 0.179465011, 0.178858876,
+ 0.147854969, 0.0780911371, 0.0619372651, 0.246884659},
+ {0.0204856265, -0.0758364275, -0.463659823, 0.0225207657, 0.111211471, 0.115493864, 0.107345134, -0.161996335,
+ 0.00730533525, 0.0462747887, 0.0745839775, 0.106136531, 0.163294554, 0.0153957121, 0.0658143014, 0.0666051731,
+ -0.0101314383, 0.0809375793, 0.105618186, 0.108458795, 0.0516485758, 0.185632929, 0.109833553, -0.0616775528,
+ 0.174049959, 0.00847224239, 0.243032038, 0.176911667},
+ {0.0966922566, -0.221680835, 0.450022519, 0.0448586531, -0.112027228, 0.0237499811, 0.1513706, 0.167261273,
+ -0.0564018711, 0.113182314, 0.0454956517, -0.116457999, 0.100412674, -0.0343207717, -0.0233719423, 0.0390939675,
+ 0.0264081694, -0.015286495, 0.081793882, -0.125891581, -0.101627901, -0.0714963377, 0.0803108811, 0.159359068,
+ -0.103831224, 0.0863560215, -0.0126902359, 0.084652476},
+ {-0.00710978359, -0.489245296, 0.392685711, -0.0133325998, -0.0621663406, -0.0709956437, -0.117263384, 0.0665675476,
+ -0.0768036246, -0.068527326, -0.0976074636, -0.152206019, -0.0407865085, -0.108634621, -0.0789553821, -0.117858581,
+ 0.0214441326, -0.0243100952, 0.070972085, -0.0930523127, -0.233884856, -0.100024812, -0.0420580506, 0.0446010977,
+ -0.0782325938, -0.048823297, -0.0481047072, -0.0266779475},
+ {0.0106687555, 0.254800856, -0.740825713, -0.052148439, 0.0485781841, 0.0357211865, 0.0193877425, 0.145683363,
+ 0.102092586, -0.0960242599, 0.05442141, 0.0510265902, -0.0557632111, 0.206065297, 0.0455785096, 0.0647267699,
+ 0.085826464, 0.116568089, 0.00503540784, 0.286527395, 0.0795375854, 0.0837564468, 0.0274227411, 0.0334718935,
+ 0.120350815, 0.0705705807, 0.138208568, 0.136619404},
+ {0.094925113, 0.116817169, -0.469012439, 0.178168178, 0.129648313, 0.170795873, 0.169371232, 0.1457019,
+ 0.136186913, 0.228108242, 0.213332951, 0.155973718, 0.240362495, 0.162574336, 0.178263903, 0.229111224,
+ 0.185239464, 0.229169384, 0.103241116, 0.143811062, 0.251030177, 0.119789295, 0.225640684, 0.0652969927,
+ 0.0859388262, 0.0739653483, 0.0272955671, 0.0801014602},
+ {0.0189511701, -0.251152307, 0.277519554, -0.00930149201, -0.0765349716, -0.0612729527, 0.0638293698, -0.0443838201,
+ 0.0176429935, -0.139355436, 0.275124401, -0.155206859, -0.0433888212, 0.100331157, -0.102728374, 0.00908541959,
+ -0.130855873, 0.0616688058, -0.0621121228, -0.0525724962, 0.0739711151, -0.0104854573, -0.0363098718, -0.0758466795,
+ -0.160132304, -0.00998362992, -0.0864971131, -0.0247147828},
+ {0.028533401, 0.488737166, -0.0348231792, -0.150034159, -0.051427912, -0.138045028, -0.0741720647, -0.17533806,
+ 0.0326838605, 0.00983350817, 0.0204590708, 0.0229510572, 0.025055442, -0.0574919023, -0.00959272124, 0.077967301,
+ 0.314073771, 0.13985236, 0.311275065, 0.0755072162, -0.0493228361, 0.102736697, 0.0904811844, 0.131804496,
+ -0.00710363174, -0.0192463063, 0.0572578572, 0.231889814},
+ {-0.015188274, 0.100647904, -0.34108296, -0.0312951282, 0.127102613, -0.0571558252, -0.0663881674, 0.207274854,
+ 0.088908352, 0.150721416, 0.0365962721, 0.122869693, 0.148292303, 0.0206582975, -0.116007604, -0.104779743,
+ 0.234257028, 0.0880940408, 0.00371836103, -0.00843696017, 0.0354343168, -0.126295939, 0.0858520195, -0.0481833294,
+ -0.0602158271, 0.0176682081, 0.0407930836, 0.21343185},
+ {-0.0157736056, -0.272854567, 0.295043379, 0.152169079, 0.185147062, -0.0253408123, 0.131224111, 0.0100563988,
+ 0.026868036, -0.0364209749, 0.0165866334, -0.0913874656, 0.0520850867, 0.0114203654, -0.206228897, 0.0437639132,
+ 0.0598281212, 0.0144968564, 0.0578178614, 0.0197454449, 0.0544290058, -0.0796814188, 0.0643022433, 0.018681502,
+ 0.140672669, 0.104922682, -0.127462819, 0.147242576},
+ {0.0172678027, 0.446308583, -0.434752017, 0.0541900843, 0.0502486452, -0.0318305828, 0.112853952, 0.110610463,
+ 0.0414545387, 0.0428648666, 0.101558723, 0.0637886748, 0.111888759, 0.0922411084, 0.0834878236, 0.0730964392,
+ 0.0546311252, 0.0341670886, 0.0638123304, 0.126623467, 0.153203234, 0.389735341, 0.114721604, 0.0149723543,
+ 0.111599386, 0.0434173383, 0.0690163001, 0.0559563339},
+ {0.0124130128, 0.181509018, -0.201781601, -0.0132176615, -0.0932198763, 0.145751894, 0.0492605716, 0.027943505,
+ 0.0471703671, 0.0992585793, 0.0550110191, 0.340670049, 0.0430393629, 0.248664096, 0.106093876, 0.0679989681,
+ 0.0524821915, 0.250855446, 0.0806099921, 0.131434843, 0.118837416, 0.166758597, 0.0885694176, -0.00668810448,
+ 0.0374942161, 0.0771306679, 0.154462665, 0.12644732},
+ {0.0513463989, -0.004855067, -0.536413848, -0.0358989462, -0.006376151, 0.115268335, 0.290720195, 0.189410284,
+ -0.0132073686, 0.145388737, -0.00378853898, -0.00948222633, 0.131100625, 0.0735783502, 0.162391171, 0.143400759,
+ 0.214608014, 0.0569177456, 0.0390187278, 0.0422622934, 0.140058815, 0.113231167, 0.0531437881, -0.165107384,
+ -0.0223988108, 0.10739141, 0.0198085085, 0.157915026},
+ {0.044161953, -0.451617718, 0.322945327, 0.0734406412, -0.0248126015, 0.111491032, 0.181637824, 0.0787860304,
+ -0.126629159, 0.0660116673, -0.060162615, -0.0364910625, 0.0559005626, -0.0369587913, 0.0209069233, 0.264465183,
+ 0.0623540133, 0.0807843059, -0.0100803692, 0.073590152, 0.0984154046, 0.0934510529, 0.138196439, -0.0862129405,
+ 0.0512872227, 0.0839925036, 0.0503656939, 0.0920551196},
+ {0.037987031, -0.090529643, 0.365364373, -0.10756442, -0.0574491583, 0.162728354, -0.0714327544, -0.0462066941,
+ 0.0798059031, 0.148746639, 0.055140879, -0.185430199, 0.140395582, 0.0780539736, -0.344869524, -0.0782695934,
+ -0.0450179055, 0.100316949, -0.0781080946, -0.122115053, 0.0181879513, -0.0170986727, -0.125482276, -0.0150765236,
+ -0.0162925012, -0.163316533, -0.00400239835, -0.0602482893},
+ {0.0766629428, -0.374055654, 0.325501084, -0.132832587, -0.0963900611, -0.15225862, -0.117092863, -0.152956456,
+ -0.12475767, -0.136878952, -0.117610246, -0.156748399, -0.13093394, -0.128581569, -0.0964937657, -0.0869419128,
+ -0.116163954, -0.139453366, -0.105341427, -0.095498167, -0.112585507, -0.122747846, -0.130148724, -0.0888764709,
+ -0.0831223205, -0.0714708418, -0.0947992057, -0.165969729},
+ {0.0650681034, 0.171405941, -0.372423887, -0.0977866799, -0.0366825126, 0.0643330365, -0.158906028, 0.0400694162,
+ -0.0570726059, -0.0101050353, 0.00471512787, 0.0308003742, -0.121724479, 0.0228210781, 0.104928017, 0.141117558,
+ 0.254634589, 0.0286462903, 0.0494735651, 0.0811111704, -0.0270883963, 0.163066357, 0.0652483478, -0.0675678104,
+ 0.0828320161, 0.312851578, 0.144667178, -0.05239309},
+ {0.0301668532, -0.306237578, 0.279720455, 0.0819914788, 0.0710607469, 0.120744206, 0.0836939961, 0.160450712,
+ 0.122407205, 0.0832189023, 0.0319553539, 0.0825836584, 0.0131512452, 0.13173674, 0.0959321558, 0.0572197214,
+ 0.136236727, 0.230174229, 0.0532746837, 0.103252903, 0.0890237018, 0.184248582, 0.0471516214, 0.131049544,
+ 0.0401459709, 0.109503925, 0.0664681196, 0.180229411},
+ {-0.0397425033, -0.230047882, 0.134599179, -0.159094855, -0.160708979, -0.126752868, -0.210536107, -0.167081267,
+ -0.107491106, -0.1202216, -0.213798895, -0.134749785, -0.139055088, -0.0426559411, -0.126142785, -0.187985376,
+ -0.233712107, -0.130639747, -0.114680737, -0.0216260571, -0.052889172, -0.0707710832, -0.0683974624, -0.093357943,
+ -0.0860026032, -0.0590091497, -0.0347131714, -0.0873446986},
+ {-0.0267011467, -0.134894967, 0.320103616, 0.0403468125, -0.162943304, -0.109443448, -0.183231086, -0.0198846068,
+ -0.157948136, -0.019158354, -0.00858745817, -0.0688548237, -0.0159314927, -0.090685688, -0.182456821, -0.127606586,
+ 0.0379443094, 0.0779569075, -0.160049215, -0.00041387591, -0.18289946, -0.151612341, -0.0901526287, -0.225404158,
+ -0.0331589617, -0.00355599448, 0.0959015861, -0.0544737168},
};
const float five_dense_biases[FIVE_DENSE_NUM] =
{
- 0.203197077, 0.171431124, 0.0542362593, 0.010253503, -0.088971585, -0.00711717922, 0.172927991, 0.00227641594,
- 0.0942989886, 0.127396777, 0.065542087, -0.0226275269, 0.18209295, -0.0656128004, -0.162779644, 0.121284887,
- 0.0472629927, 0.0403044261, 0.0781396776, -0.0697875172, 0.0938313156, -0.0170057435, -0.178557932, -0.101860248,
- 0.257950097, 0.0419708751, -0.0579385757, 0.0134018641, -0.0107925115, 0.000416926487, 0.159764543, 0.195415705,
- -0.173778772, -0.0549617335, 0.20672287, 0.281121969, 0.166390136, 0.140294284, 0.258097768, -0.163214743,
- 0.178887889, 0.0231933035, 0.119052537, 0.0872517899, 0.0790024698, 0.142852455, 0.180583403, 0.0731969625,
- 0.212757468, 0.00119585171, 0.16106452, -0.0451591834, 0.246450648, 0.0276041254, -0.276603937, 0.041676037,
- -0.0785793141, 0.11476367, -0.116417132, 0.0230412055, -0.00355176162, 0.078909345, 0.321341574, 0.0147520248
+ 0.258945525, 0.187060431, 0.176671699, 0.0402996019, -0.0802881271, -0.00244510267, 0.183032766, 0.426880807,
+ -0.0839369074, 0.0432596542, -0.113279037, -0.146915391, 0.0357434675, -0.131954685, -0.0970062539, -0.0270375013,
+ -0.203214377, -0.0238268692, -0.159142092, 0.0896934494, -0.0808146223, 0.0612406731, 0.158471361, 0.053174708,
+ -0.130475089, -0.160274744, -0.152122498, 0.218526378, -0.0795462579, -0.0180571005, 0.18883124, 0.094304122,
+ -0.106681764, 0.208428174, 0.202606156, 0.0932063013, 0.18422395, 0.0912102014, 0.156579852, 0.351306498,
+ 0.118976377, 0.236967906, -0.267845392, 0.13835533, 0.216181934, 0.109379537, -0.0356541872, -0.086225152,
+ 0.0388425104, 0.302248985, -0.12141528, 0.0575248487, -0.0836074054, -0.178432047, -0.118539676, 0.109901808,
+ 0.0350867547, -0.237770796, 0.070876278, -0.0696130618, 0.127071053, -0.190676391, 0.233724713, -0.208063245
};
const float five_logit_weights[FIVE_DENSE_NUM] NN_ALIGNED =
{
- -0.458478689, -0.209255874, 0.140492022, -0.564781547, 0.405265599, -0.440311015, 0.541238844, 0.259323061,
- -0.471086144, 0.238409057, -0.162853003, -0.347012401, 0.258589387, 0.262367815, 0.589724004, 0.842550933,
- 0.217535928, -0.756183088, 0.270296484, 0.198258087, 0.246317148, 0.42984435, 0.235945836, -0.768604398,
- 0.629981279, 0.25837177, 0.555774868, -0.631168544, -0.352685004, -0.337388158, -0.182304159, -0.339989305,
- 0.130236804, -0.301342487, -0.44408083, -0.239533186, 0.200740948, -0.315785319, -0.468884081, -0.197976172,
- -0.215769649, -0.240125388, -0.160375997, 0.255743235, 0.757258832, 0.227804184, 0.191979542, -0.31971094,
- 0.489403129, 0.441005349, -0.226921469, 0.637519658, -0.213778213, 0.331646353, 0.287307948, 0.287199259,
- 0.214163169, -0.217752844, 0.219678804, 0.208426163, -0.488294423, 0.347436696, -0.393783629, -0.691565752
+ -0.525418282, 0.165110111, -2.82267809, 0.278958291, 0.254277676, -0.21525313, -0.215599433, -0.550903857,
+ 0.194911122, 0.248868525, 0.430563092, -0.201574966, 0.274471819, 0.552562177, -0.173917696, 0.301015198,
+ 0.240786016, 0.235939488, -0.343597978, 0.29667899, 0.781878173, -0.186229408, -0.234509051, 0.167021245,
+ -0.300446451, -0.233434945, -0.211302519, -0.198264554, 0.277316898, -0.353295714, -0.243399501, 0.182720855,
+ -0.27724874, 0.261664778, -0.571578801, 0.343854547, -0.268930465, 0.734192789, -0.212634668, -0.691008627,
+ 2.28880835, -0.516476274, 0.320053846, -0.25418371, 0.430587977, 0.270702869, -0.18960695, -0.444385618,
+ 0.265886635, 0.477042973, -0.23541373, 0.26551941, 0.223075464, -0.236570403, 0.476593554, 0.236413032,
+ 0.309048086, -0.441814035, -0.189720362, -0.584658265, 0.250874728, -0.608837545, -0.528469741, -0.23339577
};
-const float five_logit_bias = -0.0842220336;
+const float five_logit_bias = 0.01144371;
diff --git a/include/weights_6.c b/include/weights_6.c
index b3e2667..2b642dc 100644
--- a/include/weights_6.c
+++ b/include/weights_6.c
@@ -1,358 +1,358 @@
/* generated by nn_train.py, do not edit by hand */
-/* v100, val_corr=0.8278, rate=0.4500 */
+/* v012, val_corr=0.9430, rate=0.7700 */
#include "weights_6.h"
const float six_embedding[7] =
{
- 0.0065742908, 0.341578543, 0.000129325053, 0.46736002, 0.105096504, 0.587581694, -0.964083135
+ -0.272579283, -0.774119854, -0.00450602546, 1.58106649, 0.118887052, -0.711079001, 0.401474506
};
const float six_dense_weights[SIX_DENSE_NUM][SIX_INP_NUM] NN_ALIGNED =
{
- {-0.282762736, -0.0563275144, 0.730590343, 0.0789912865, -0.204339027, 0.0396980755, 0.248766661, -0.314963728,
- -0.0167422313, 0.213028535, 0.304261833, 0.174660057, 0.0295855738, 0.199028805, -0.0455312952, 0.0800643563,
- -0.185925096, 0.0437664576, -0.326360196, 0.312411815, -0.150759593, 0.149624705, -0.0376731977, -0.0203849562,
- -0.0958549976, -0.0905557871, 0.255156666, 0.0673121661, 0.02243682, 0.177837253, 0.143540755, 0.0758885369,
- -0.089895539, 0.0751883686, -0.0300261341, -0.0979525074, -0.147087187, -0.0700252503, -0.212184563},
- {0.146949902, 0.327808619, -0.686812699, 0.00392748509, -0.148308665, 0.0934642255, 0.0951193348, 0.0334287398,
- 0.140522987, -0.0673815832, -0.0970075652, 0.159615487, 0.0586074777, 0.0556014366, -0.0439041592, -0.0225810297,
- -0.135422096, 0.104349554, -0.0230375919, 0.0159511641, -0.00493444549, -0.221501619, -0.0998100042, -0.0179851484,
- 0.0634097531, 0.209679693, -0.0694529787, -0.0374620892, 0.125516385, 0.0156742875, 0.181466237, -0.133448049,
- 0.152771533, 0.0174281131, 0.155447036, 0.124258474, 0.221732691, 0.0947066694, -0.0252091959},
- {0.160156772, -1.52072203, -0.284173459, 0.114289828, 0.153297722, 0.0741123706, -0.106174372, 0.0314644314,
- 0.0474751256, 0.0309511777, 0.063651219, 0.0851621851, 0.0305719338, -0.0333008952, -0.0167611074, 0.0564312078,
- 0.0226126797, 0.11055322, 0.115543567, 0.108756684, 0.0357308351, 0.123114444, 0.176002428, 0.114915229,
- 0.148942143, -0.0625898167, 0.0959035978, 0.0410965942, 0.107714675, 0.133954048, 0.166690871, 0.111254558,
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+ {0.00586359017, 0.378172874, 0.026073141, 0.0688670725, -0.0412010774, 0.0230944138, -0.0783247724, -0.0369137377,
+ 0.0377877429, 0.101889111, 0.0202115159, 0.0138430418, 0.0261025056, 0.110702783, 0.021158604, -0.0350373499,
+ -0.0485027283, 0.0799851269, 0.000286296156, 0.0430581048, 0.0426400751, -0.116217464, 0.0204732623, -0.0298912246,
+ -0.114398926, 0.0031174277, 0.225446373, 0.0930048227, 0.0574210696, 0.116801299, -0.0773306638, -0.0600516275,
+ -0.232262596, 0.124714397, 0.090649806, 0.0600686707, 0.00288659194, 0.104348734, -0.0589737333},
+ {0.0134622697, 0.571787834, -0.281714827, 0.0167693458, -0.0234772563, 0.162463307, -0.0643563718, -0.0237995535,
+ 0.142979354, -0.158201709, -0.0512793884, -0.0635880977, -0.00238123932, 0.104408905, 0.0942902341, -0.0718652308,
+ 0.0317840986, 0.0106860576, -0.105327852, 0.00466742832, 0.110362247, -0.00667155813, 0.119975753, 0.0121120345,
+ 0.0423893891, -0.0766975582, -0.0447066203, -0.0244910307, -0.0849896073, 0.0378137194, -0.108594619, 0.105236635,
+ -0.0968473032, -0.0193333291, -0.0117664505, 0.143204942, 0.0358353592, 0.00197104644, 0.0161219817},
+ {-0.0830402225, 0.191161901, -0.536218524, -0.0299949367, 0.0401355103, -0.0148340445, -0.0954567939, 0.0731389076,
+ -0.0454389416, -0.0558054857, -0.0520545021, 0.074399896, -0.0430476181, 0.0359308906, -0.0935177878, -0.041147992,
+ -0.0157621391, -0.0918654576, 0.280030519, -0.043406859, -0.0186208971, 0.0220264029, -0.0675508678, -0.0392292477,
+ 0.0177840646, -0.00429641455, -0.111961372, -0.096215196, -0.0105599407, 0.0145637617, -0.0968523696, 0.0015438362,
+ 0.00618588692, -0.125953451, -0.0455180928, -0.0208644457, -0.0533408299, 0.0669282228, 0.0113281598},
+ {0.0159650389, -0.408566952, 0.184469357, 0.123284161, 0.110882342, -0.120114498, 0.00854655914, -0.0835798383,
+ 0.024874296, 0.138630584, 0.12628147, -0.0735909864, -0.0393747538, -0.184506387, 0.196880519, -0.0255769975,
+ 0.15995875, -0.252000123, -0.271038383, -0.013631965, -0.0277195629, -0.0302853007, -0.00343137491, -0.0623095147,
+ -0.0416357107, -0.153790921, 0.0501474366, -0.073440142, -0.0143735986, -0.165904135, 0.00709467661, 0.0263210516,
+ 0.162619889, -0.0297173988, -0.0852494165, 0.0911082178, -0.0187626164, -0.117290974, -0.0235575102},
+ {-0.00685383938, 0.0703978911, 0.447564036, 0.159589052, 0.115231261, 0.176126719, -0.0211710483, 0.00507049263,
+ 0.0583743975, 0.0708717778, -0.241045699, -0.161813095, -0.00201837439, 0.0160206519, 0.0469629243, 0.0796598718,
+ 0.184559911, 0.0408571474, 0.134125859, -0.0139969019, -0.0150158722, -0.0993734822, 0.0830494165, -0.153757915,
+ -0.0814146623, 0.0709382519, 0.000167859427, -0.149820492, 0.0705712438, 0.105712496, -0.0438254103, 0.0784140602,
+ -0.166005567, -0.0166905299, -0.0168757681, -0.0513919294, -0.0450478308, 0.116722785, -0.0439839251},
+ {-0.00653787982, 0.31907326, -0.0591278002, 0.0475671813, -0.0902543515, -0.224028274, 0.0508854799, 0.0714908689,
+ -0.016087696, 0.110545397, -0.182627112, -0.14818418, 0.0174540188, 0.136407226, -0.0777237564, 0.110953137,
+ -0.123039894, -0.28369686, 0.140623435, -0.0256097671, -0.0935475305, 0.256934047, -0.100355752, 0.092484884,
+ 0.0255854856, -0.0513202511, 0.0626738369, -0.00454480387, 0.130244508, 0.0152851548, 0.179284871, 0.096440047,
+ -0.0267035868, -0.0448604263, -0.116952203, -0.0925826058, 0.0263650883, 0.0192964729, 0.0422645994},
+ {-0.0627771839, 0.308565468, -0.30587092, 0.0400551334, 0.148543447, 0.131158605, 0.00789645221, -0.0399989001,
+ -0.0890185162, 0.06744802, -0.0527261719, -0.0857255161, -0.0630195662, 0.0342011265, 0.112438679, -0.154855296,
+ 0.0127029242, -0.0689411461, 0.00724696787, -0.0580503605, -0.0988177285, 0.137215465, 0.0114686219, 0.0415556654,
+ -0.0902187079, -0.0789221525, 0.177272648, -0.0551681668, 0.0313074514, 0.0148253674, -0.0358861089, 0.0378934965,
+ -0.139135942, -0.103872642, 0.0696893409, 0.119808078, 0.143137485, -0.165884227, -0.0552406833},
+ {0.0230683237, 0.402346373, -0.200490043, 0.000573793717, 0.220837444, -0.0294436906, 0.0473778397, -0.0957080498,
+ 0.0601646304, 0.0962240845, -0.0716158524, -0.0380999744, -0.0280937105, 0.00822006911, -0.0915619358, 0.0215466283,
+ 0.13251628, 0.0373064987, 0.0221497715, -0.0806204528, -0.0303532407, -0.0574070215, 0.00422905944, 0.0191424415,
+ 0.0768368393, -0.111161828, 0.0371143371, -0.210563958, -0.0141239483, -0.0459739864, 0.00913709123, -0.0697613508,
+ -0.160359532, -0.0166031215, -0.00479423394, -0.0134357112, -0.00966685917, 0.032848835, 0.0349027887},
+ {0.00517900893, 0.206793562, -0.6324687, 0.032616321, 0.0178074241, 0.0277286042, 0.0241097417, 0.0281603877,
+ 0.0283195265, 0.0137277571, 0.0345814973, 0.0277218018, 0.0350333937, 0.0415167771, 0.0190046597, 0.021983495,
+ 0.0380100086, 0.0376039743, 0.0373400003, 0.0381246768, 0.0244469736, 0.0372161008, 0.0292764101, 0.028020639,
+ 0.0370150767, 0.0362463407, 0.0286519099, 0.0309595689, 0.0331527144, 0.0325847007, 0.0366165191, 0.0398307666,
+ 0.036878828, 0.0298145507, 0.033946082, 0.0315465443, 0.0390894078, 0.0381326713, 0.0240820646},
+ {0.00999082718, 0.0704327747, -0.135375902, 0.0965746865, 0.0315700918, -0.0341474488, -0.0154681532, 0.100988634,
+ 0.0317231268, 0.00516664656, 0.0901094005, 0.00387769192, -0.0108159101, 0.0266150907, 0.086935468, -0.116422258,
+ 0.1287705, -0.304381222, 0.00894103106, -0.113873124, 0.0162417833, 0.0863465741, -0.0162362289, -0.0594460964,
+ 0.046109654, 0.0485323332, -0.0912944302, -0.0170484036, -0.0100178951, -0.112009145, -0.0212829318, 0.0929590613,
+ 0.00304998993, -0.0952479616, -0.0653304905, -0.0938391089, 0.110351808, -0.0194756277, 0.131883413},
+ {-0.00392507995, -0.412958741, 0.222602651, 0.0297741499, 0.0138690146, 0.00752861938, -0.0632501394, 0.0930913985,
+ -0.0798842534, 0.086997278, -0.00990851037, 0.00708212843, 0.0623425543, 0.0930478275, -0.1929667, -0.0500703081,
+ -0.176020384, 0.0280297659, 0.00223013363, 0.0607234463, -0.0670430511, -0.150615171, -0.143736541, 0.0436881781,
+ -0.169942245, -0.133053482, 0.0749859288, -0.0632313713, -0.0880066082, -0.273424387, -0.217046425, -0.00101267977,
+ -0.0726550594, -0.0399494506, 0.0514415987, 0.187298164, 0.0655089393, -0.0392716192, 0.0358165912},
+ {-0.0367388278, -0.460847914, -0.401151448, -0.0525463112, 0.0333984345, 0.2947267, 0.0745099932, 0.090415664,
+ 0.160725981, -0.179641098, 0.125947624, -0.060285382, -0.0357799158, 0.0681570098, 0.172618613, -0.173433214,
+ 0.0854635686, 0.0223985035, 0.0569894239, -0.000935063174, 0.102804549, -0.0669085011, 0.0103409206, 0.131457433,
+ 0.101400778, -0.013666641, -0.0313784592, 0.0686993003, 0.0315689519, 0.0768881738, 0.045057822, -0.0195384789,
+ -0.0214618016, -0.0310061555, -0.0206139479, 0.0235864352, -0.0773538575, 0.158259928, 0.0762092769},
+ {-0.00237148488, -0.572199047, 0.445612788, -0.00679129083, -0.0562267005, -0.00070289796, 0.0254515745, -0.00520036882,
+ 0.0512332022, -0.236194313, -0.00129110413, -0.0284669809, -0.0810849369, 0.118428737, 0.0292949993, -0.0442946143,
+ -0.0150501831, -0.155618265, -0.219644055, -0.0489605665, 0.0102338362, -0.152085945, -0.136139706, -0.13559863,
+ -0.128801569, 0.0396836139, -0.0443646722, 0.0747822449, 0.128533572, -0.0324209929, -0.0475850105, 0.0633841008,
+ 0.0578903332, 0.122058071, 0.0933605805, 0.0242405236, -0.0662788078, -0.0570163988, -0.123692364},
+ {-0.0114369849, 0.120732598, 0.0806853548, -0.0463256575, 0.0265312325, 0.0225103013, -0.101399258, -0.102328949,
+ 0.0257738233, 0.126836836, 0.0464328602, 0.199074149, 0.153206632, 0.197759613, 0.0480099358, -0.0653089657,
+ 0.0531841107, -0.0744000152, 0.233036101, -0.216462761, -0.000764467695, 0.0579287186, 0.116777867, 0.0202521943,
+ -0.0725772977, -0.0809135288, 0.109736115, 0.0624599308, 0.0415078551, 0.0210945718, -0.0809565559, 0.0196952708,
+ -0.103866458, 0.0450688489, -0.112085499, -0.0949345902, -0.0794622898, -0.068031244, 0.0907917842},
+ {0.0227231402, -0.0357861295, 0.337276787, -0.028308833, 0.0168691594, 0.0483435839, 0.157894, 0.148272485,
+ -0.0810085535, 0.144924536, -0.0686070621, 0.0308830421, 0.0912815109, 0.0422063693, 0.00559198624, 0.178430662,
+ 0.0986401662, 0.192691699, 0.177611679, 0.0734714344, 0.0395100117, 0.095977284, 0.0585154481, 0.215324044,
+ 0.0966787413, -0.0504259989, 0.00504713831, 0.124168247, 0.0815541372, 0.105664, -0.0324757285, 0.0182620585,
+ -0.0227053482, 0.143276855, 0.00636363169, -0.106278978, 0.0345025808, 0.109553665, 0.132281929},
+ {0.0685569495, -0.296964318, 0.437099934, 0.124095142, 0.0688811764, -0.18054913, 0.060846433, 0.034786541,
+ -0.0656405836, -0.124048367, -0.0133874165, -0.140768558, 0.0498696305, -0.0193256233, -0.0549313165, -0.0713651776,
+ 0.0117133856, 0.149890989, -0.0386885293, -0.0604835004, -0.0426527001, -0.0795393214, 0.0450350307, -0.425184429,
+ -0.0487310253, 0.0562346876, 0.111872777, -0.086628221, -0.144669101, 0.0763701424, -0.103193425, -0.110054165,
+ -0.0673613027, -0.175569817, -0.254961938, -0.0138845183, 0.0629555061, 0.0835659429, -0.150238663},
+ {-0.0543108359, -0.454809546, 0.406085372, 0.105285868, -0.268683314, -0.1310523, -0.154085726, -0.0331417434,
+ -0.0924253687, -0.126247823, -0.0439988188, 0.00118217396, -0.0140711367, -0.0082820328, -0.107846022, -0.174130604,
+ -0.0585101433, 0.00897693634, 0.0138454745, 0.0194246396, -0.0037515529, -0.00678353384, 0.0553915948, -0.21700716,
+ 0.0213534869, 0.0394199379, 0.0569488667, 0.0211266093, -0.155528829, -0.0293514617, 0.0556070618, 0.0432432555,
+ 0.00690820906, -0.144498333, 0.0347088128, -0.0596895292, -0.0950502604, -0.0858098269, 0.0506078713},
+ {0.182464987, -0.401542127, 0.364929467, 0.11124485, -0.201760158, -0.108427942, -0.0722417682, 0.0135047957,
+ -0.0967563987, -0.0955156013, -0.112118907, 0.0263578892, -0.00717917597, -0.110118516, -0.023221178, -0.0545293018,
+ 0.0448236354, 0.0588022284, -0.0819109678, -0.0302165952, -0.0312852226, 0.0527660735, 0.0431352779, 0.0245796721,
+ 0.00616725534, 0.0251704436, 0.0201551635, -0.160131365, -0.0437403806, -0.115415372, -0.271039307, 0.0199009813,
+ -0.135682493, 0.0983418375, 0.146226108, -0.0993128568, -0.11687056, -0.100200854, 0.0185532831},
+ {0.0164911747, 0.0834327638, -0.423730552, 0.0232731365, -0.0569971539, -0.0951976329, 0.0357096381, 0.095366925,
+ 0.016346816, -0.129206181, -0.0269501302, 0.0572696701, 0.093133986, 0.105741344, 0.0423114896, -0.10919074,
+ 0.0392830446, 0.015420909, 0.0193846282, 0.141935229, -0.145949185, 0.126255542, 0.0694985166, 0.0790913254,
+ -0.0150431134, 0.0376217887, -0.0183095764, -0.0198928025, -0.0644609332, -0.00202378747, -0.0123645402, 0.0253716502,
+ 0.16693224, 0.183031589, -0.18890284, -0.0672318786, -0.144758537, 0.138524473, 0.0724843368},
+ {-0.0365269892, -1.34694326, 0.177437857, -0.0749049857, -0.0667186826, -0.0605103523, -0.0959123075, -0.0484784581,
+ -0.0901262686, -0.0456406362, -0.10466817, -0.101877898, -0.139195427, -0.0491524003, -0.0810412243, -0.0382474177,
+ -0.0718141645, -0.073579818, -0.0335965529, -0.039679043, -0.0643658713, -0.0566261373, -0.0351726897, -0.126812518,
+ -0.0558479317, -0.0262349043, -0.0533106141, -0.119628832, -0.076880604, -0.118551202, -0.0302632507, -0.0814904273,
+ -0.086973168, -0.0804018676, -0.0696445778, -0.0809495747, -0.0801500008, -0.104747795, -0.0573702827},
+ {0.00483211642, 0.135592565, -0.480501384, 0.0564372838, 0.0475592017, 0.137333944, -0.0444960073, -0.0906255394,
+ 0.0405272394, 0.0332115889, -0.0937822908, -0.106010757, 0.0625221953, -0.099635005, 0.0074603539, 0.0210825335,
+ 0.146078348, 0.00775708398, 0.0760187656, 0.0295129139, -0.0477215126, -0.058754947, 0.0504294187, -0.0510528199,
+ -0.0853717029, 0.0954440311, -0.0169513747, -0.113782488, -0.0457023084, -0.0281752683, -0.0360753313, -0.0512414463,
+ -0.228554338, -0.0288913716, 0.0198522676, 0.0090010399, 0.0154756084, 0.0926548764, 0.000380234473},
};
const float six_dense_biases[SIX_DENSE_NUM] =
{
- 0.0518913344, 0.0167221036, -0.0378771275, -0.199898466, -0.0538039804, 0.108015999, -0.119998835, 0.0804165825,
- 0.0554692224, -0.0645367131, -0.0237321015, 0.178871185, 0.0172098372, 0.176579624, -0.167090327, -0.00345131545,
- 0.109402806, 0.0315130427, -0.0746222436, 0.0546944141, -0.12706992, 0.173666835, 0.116913021, -0.127412245,
- -0.0672582611, 0.184880778, 0.0890215933, -0.0441896208, -0.309641331, 0.08389128, 0.131596148, 0.144563377,
- 0.196799755, -0.112892613, -0.112884499, -0.0451603755, -0.168520987, 0.175658196, 0.0640755445, 0.140594989,
- 0.203608438, 0.0531219617, 0.168874472, -0.124918915, -0.154922098, -0.139817134, 0.0800537914, 0.0399043597,
- 0.0573609397, 0.129984304, -0.10384991, -0.169068992, -0.104140788, -0.0470843799, -0.00375794806, -0.167530179,
- -0.244247869, -0.0644299388, -0.030715555, -0.249677241, 0.0417533629, -0.275687188, -0.101081789, 0.218871728
+ 0.202844679, -0.0289081056, -0.0822101012, -0.142031133, -0.0776312724, 0.0428509042, -0.176855937, 0.105425388,
+ 0.0382039919, 0.196236774, 0.137288526, 0.148079976, 0.236724347, -0.0501885749, 0.073439382, 0.0628321916,
+ 0.195040226, -0.224720523, 0.872671187, 0.062267296, -0.107395165, -0.0148097426, 0.168058932, 0.12827453,
+ -0.187896401, 0.0198334344, 0.000210011916, 0.211118013, -0.0316653773, -0.186354131, -0.0859205797, 0.285994321,
+ -0.20313026, 0.274951428, -0.158233255, 0.0845677257, -0.130578265, 0.126949385, -0.08814843, -0.168789208,
+ 0.141679183, -0.02488623, -0.0375127755, -0.109078281, 0.175537467, 0.137010977, 0.0377974771, -0.0676086992,
+ -0.144321412, 0.175856784, 0.0689337477, 0.642685652, -0.0274568107, -0.147726581, 0.110686488, -0.0335356481,
+ -0.0080766622, 0.167535856, 0.0368840918, -0.0306773484, 0.0389947817, -0.00216770126, -3.93720256e-06, 0.279167861
};
const float six_logit_weights[SIX_DENSE_NUM] NN_ALIGNED =
{
- -0.548384547, 0.206728697, -1.49714518, 0.226278767, 0.56896174, -0.575925887, -0.430921525, 0.529933453,
- -0.0730793551, -0.460997105, 0.363704413, -0.36077413, -0.608377337, 0.415781796, -0.301446617, -0.134732857,
- -0.127074242, 0.272080243, 0.176494434, -0.107967772, 0.390860647, 0.523743033, 0.271249533, -0.421942949,
- -0.308931798, 0.32740137, -0.445393056, 0.0912020281, 0.374524713, -0.136318102, -0.195394054, 0.17766346,
- 0.339828551, 0.261625558, -0.981469214, 0.279721618, -0.450761527, 0.249684572, -0.420574635, 0.414145678,
- 0.463071615, -0.114338741, 0.144301102, -0.367231369, -0.302023709, 0.211034298, -0.455296099, 0.505889177,
- 0.361589432, 0.323655665, 0.526145756, 0.159891024, -0.705625653, 0.368265748, -0.551005423, 0.494499385,
- 0.312590718, 0.389481485, -0.152014822, 0.383812606, -0.131353125, 0.109772533, -0.288320571, 0.225765198
+ 0.464612186, -0.315384835, -0.298486561, -0.373979717, -0.341611028, 0.209144294, -0.358960003, 0.190266415,
+ 0.215124607, 0.806100905, 0.180569187, 0.238096923, 0.249752656, -0.331710488, 0.186751142, 0.244728252,
+ 0.317036361, -2.01873302, 1.6609422, 0.167879462, -0.408659935, -0.63126564, 0.198506132, 0.560498118,
+ -0.522415102, 0.221563101, -0.376907438, 0.256620646, -0.263245195, -0.391501755, -0.421026558, 0.299037248,
+ -0.338322729, 0.861579955, 1.10836053, 0.228926405, -0.366385102, 0.243139461, -0.352699816, -0.423810035,
+ 0.207709223, -0.288072169, -0.32146433, 0.182678819, 0.179405317, 0.185882717, -0.294938087, -0.307781965,
+ -0.338308275, 0.132518336, 0.160550535, 1.39237177, 0.177294701, -0.331530929, 0.667836964, -0.289676666,
+ -0.244219318, 0.411620587, -0.262948364, -0.292395711, -0.219112784, 0.305071145, -0.601197422, 0.240243837
};
-const float six_logit_bias = 0.107445575;
+const float six_logit_bias = -0.0525699481;
diff --git a/include/xorshift64.h b/include/xorshift64.h
index 2b13f60..120e337 100644
--- a/include/xorshift64.h
+++ b/include/xorshift64.h
@@ -30,7 +30,7 @@ extern uint64_t xors;
}
#define RANDOM64 (xors * 0x2545F4914F6CDD1D)
-#define RANDOM32 ((uint32_t)RANDOM64)
+#define RANDOM32 ((uint32_t)(RANDOM64>>32))
static inline uint64_t rand64(void) {
XORSHIFT64;
diff --git a/src/match.c b/src/match.c
index 49ff9c9..eff1931 100644
--- a/src/match.c
+++ b/src/match.c
@@ -73,31 +73,27 @@ void negamax_display_progress(const uint8_t cur_depth,
// Game driver
// ===================================================================
-// Returns the winner's colour, or -1 for a draw / abort
static int play_game(const nn_function current_fn, const nn_function cand_fn,
- const enum COLOUR current_fn_colour, const uint32_t eps10000) {
+ const enum COLOUR current_fn_colour,
+ const uint8_t random_opening_length) {
reset_state(state, state->board_size);
char ptn[16];
for (uint32_t ply = 0; ply < MAX_PLY; ply++) {
- // Whose evaluator is it?
- const nn_function fn =
- (state->current_colour == current_fn_colour) ? current_fn : cand_fn;
- negamax_set_evaluator(fn);
-
- if (rand32() % 10000 < eps10000) {
- // Epsilon: uniform random legal move
+ if (ply < random_opening_length) {
uint32_t n_actions;
action_t *actions = actions_generate(state, &n_actions);
action_to_ptn(actions[rand32() % n_actions], ptn);
} else {
- // Greedy: the side's best move
+ const nn_function fn =
+ (state->current_colour == current_fn_colour) ? current_fn : cand_fn;
+ negamax_set_evaluator(fn);
negamax_generate(state);
strcpy(ptn, negamax_ptn);
}
- const enum ACT_RESULT r = do_ptn(state, ptn);
- if (r == GAME_END)
+ const enum ACT_RESULT r = do_ptn(state, ptn);
+ if (r == GAME_END)
break;
if (r != ACT_OK) {
fprintf(stderr, "match: unexpected result %d for ptn %s\n", r, ptn);
@@ -125,18 +121,12 @@ static int play_game(const nn_function current_fn, const nn_function cand_fn,
// ===================================================================
const char *usage =
- "match, one Tak game of the current weights against the candidate.\n\
-\n \
-usage: match <size> <eps> <depth>\n\
-\n\
-This binary is linked with both the include/weight_* files and the include/cand_weight_* files. It plays a single game, with a random side choice and both sides using epsilon-greedy move noise. The result format is:\n\
-\n\
- <current|candidate|draw> <plies>\n\
-\n\
-nn_train.py runs many of these in parallel to score the candidate against the current weights.\n\
-\n\
-Copyright (C) 2026, tslil clingman\n\
-\n\
+ "match, one Tak game of the current weights against the candidate.\n\n\
+usage: match <size> <random_opening_length> <depth>\n\n\
+This binary is linked with both the include/weight_* files and the include/cand_weight_* files. It plays a single <size>x<size> game, with a random side choice and both sides using <random_opening_length> random moves at the start of the game. The result format is:\n\n\
+\t<current|candidate|draw> <plies>\n\n\
+nn_train.py runs many of these in parallel to score the candidate against the current weights.\n\n\
+Copyright (C) 2026, tslil clingman\n\n\
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.";
int main(int argc, char **argv) {
@@ -146,22 +136,16 @@ int main(int argc, char **argv) {
}
const uint8_t size = (uint8_t)atoi(argv[1]);
- const uint32_t eps10000 = (uint32_t)(atof(argv[2]) * 10000.0 + 0.5);
+ const uint8_t random_opening_length = (uint8_t)atoi(argv[2]);
negamax_search_depth = (uint8_t)atoi(argv[3]);
if (size != 5 && size != 6) {
fprintf(stderr, "match: size must be 5 or 6\n");
return EXIT_FAILURE;
}
- if (eps10000 >= 10000) {
- fprintf(stderr, "match: eps must be < 1\n");
- return EXIT_FAILURE;
- }
-
- // Processes launched in the same second must not share a seed
xors = ((uint64_t)time(NULL) ^ ((uint64_t)getpid() << 32)) *
- 0x9E3779B97F4A7C15ULL +
- 0xDEADBEEF;
+ 0x9E3779B97F4A7C15ULL +
+ 0xC0FFEE;
state = new_tak_state(size);
negamax_init(size);
@@ -173,7 +157,7 @@ int main(int argc, char **argv) {
: &six_cand;
const enum COLOUR current_fn_colour = rand32() % 2 ? C_WHITE : C_BLACK;
- const int winner = play_game(current_fn, cand_fn, current_fn_colour, eps10000);
+ const int winner = play_game(current_fn, cand_fn, current_fn_colour, random_opening_length);
const char *name;
if (winner == -1)
diff --git a/src/nn_train.py b/src/nn_train.py
index 73a5eaf..e9a2d2c 100755
--- a/src/nn_train.py
+++ b/src/nn_train.py
@@ -239,7 +239,7 @@ class Net(Module):
train_targets = targets[train_idx]
# training widgets
- optimizer = torch.optim.Adam(self.parameters(), lr=lr)
+ optimizer = torch.optim.AdamW(self.parameters(), lr=lr)
loss_fn = MSELoss()
best_corr = -1.0
@@ -367,16 +367,16 @@ class TournamentResult:
def run_matches(
*,
- size: int,
depth: int,
- tournament_eps: float,
games: int,
procs: int,
root: Path,
+ size: int,
+ match_random_opening_length: int,
) -> TournamentResult:
outs = list(
fan_out(
- ["./match", str(size), f"{tournament_eps:.4f}", str(depth)],
+ ["./match", str(size), f"{match_random_opening_length}", str(depth)],
games,
procs,
"match",
@@ -413,12 +413,11 @@ def run_step(
champ: Net,
depth: int,
epochs: int,
- eps_decay: float,
- eps_min: float,
- eps_start: float,
games: int,
iter: int,
lr: float,
+ matches: int,
+ match_random_opening_length: int,
min_ply: int,
procs: int,
promote_rate: float,
@@ -426,8 +425,6 @@ def run_step(
root: Path,
size: int,
td_lambda: float,
- tournament_eps: float,
- tournament_games: int,
val_frac: float,
) -> Net:
def make_csv(i: int) -> Path:
@@ -435,16 +432,16 @@ def run_step(
print(f"\n== iteration {iter} ==")
- # 1. rebuild selfplay
+ # 1. rebuild
_ = subprocess.run(["make", "selfplay"], cwd=root, check=True, capture_output=True)
+ _ = subprocess.run(["make", "native"], cwd=root, check=True, capture_output=True)
# 2. generate self-play data
- eps = max(eps_min, eps_start * (eps_decay ** (iter - 1)))
csv = make_csv(iter)
- print(f"selfplay, eps={eps:.4f}, depth {depth}, {games} games on {procs} procs")
+ print(f"selfplay: {size=}, {depth=}, {min_ply=}")
out_rows: list[str] = []
for out in fan_out(
- ["./selfplay", str(size), f"{eps:.4f}", str(depth), str(min_ply)],
+ ["./selfplay", str(size), str(depth), str(min_ply)],
games,
procs,
"selfplay",
@@ -455,14 +452,13 @@ def run_step(
_ = f.write("\n".join(out_rows))
if out_rows:
_ = f.write("\n")
- rows = len(out_rows)
- print(f" {rows} rows")
# 3. fine-tune the champion on TD(lambda) targets -> candidate
device = next(champ.parameters()).device
csvs = [make_csv(i) for i in range(max(iter - replay_iters, 1), iter + 1)]
- print("Loading data from", [str(c) for c in csvs])
+ print("Loading data from", [str(c) for c in csvs], "...", end=" ")
records = SelfPlayRecords.load_merge(csvs, size, device)
+ print(f"{records.results.shape[0]:,} rows")
cand = copy.deepcopy(champ)
corr, mse = cand.fit(
@@ -483,21 +479,25 @@ def run_step(
# 4. build the match driver (champion + candidate)
_ = subprocess.run(["make", "match"], cwd=root, check=True, capture_output=True)
- # 5. tournament + decision
- tournament_result = run_matches(
- root=root,
- size=size,
- depth=depth,
- tournament_eps=tournament_eps,
- games=tournament_games,
- procs=procs,
- )
- decided = tournament_result.champ + tournament_result.cand
- rate = tournament_result.cand / decided if decided else 0.0
- print(
- f"champ {tournament_result.champ} - {tournament_result.cand} cand, {tournament_result.draws} draws, winrate={rate:.3f}"
- )
- promote = decided >= int(0.25 * tournament_games) and rate >= promote_rate
+ promote = True
+ rate = -1.0
+ if promote_rate > 0:
+ # 5. tournament + decision
+ print(f"match: {size=}, {match_random_opening_length=}, {depth=}")
+ tournament_result = run_matches(
+ depth=depth,
+ games=matches,
+ procs=procs,
+ root=root,
+ size=size,
+ match_random_opening_length=match_random_opening_length,
+ )
+ decided = tournament_result.champ + tournament_result.cand
+ rate = tournament_result.cand / decided if decided else 0.0
+ print(
+ f"champ {tournament_result.champ} - {tournament_result.cand} cand, {tournament_result.draws} draws, winrate={rate:.3f}"
+ )
+ promote = decided >= int(0.25 * matches) and rate > promote_rate
if promote:
cand.to_c(
@@ -523,16 +523,28 @@ def main() -> None:
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
_ = p.add_argument(
- "--size", type=int, choices=sorted(NET_DIMS), default=5, help="board size"
+ "--size",
+ type=int,
+ choices=sorted(NET_DIMS),
+ default=5,
+ help="board size",
+ )
+ _ = p.add_argument(
+ "--iters",
+ type=int,
+ default=100,
+ help="max loop iterations",
)
- _ = p.add_argument("--iters", type=int, default=10, help="max loop iterations")
_ = p.add_argument(
- "--games", type=int, default=100, help="selfplay games per iteration"
+ "--games",
+ type=int,
+ default=1000,
+ help="selfplay games per iteration",
)
_ = p.add_argument(
"--replay-iters",
type=int,
- default=0,
+ default=4,
help="number of previous self-play instances to mix in with current dataset during training",
)
_ = p.add_argument(
@@ -542,17 +554,41 @@ def main() -> None:
help="initial self-play epsilon: in asymmetric self-play one side (chosen at random per game) plays a uniform random move with this probability while the greedy side has its plies recorded",
)
_ = p.add_argument(
- "--eps-min", type=float, default=0.05, help="self-play epsilon floor"
+ "--eps-min",
+ type=float,
+ default=0.01,
+ help="self-play epsilon floor",
)
_ = p.add_argument(
- "--eps-decay", type=float, default=0.9, help="per-iteration epsilon decay"
+ "--eps-decay",
+ type=float,
+ default=0.9,
+ help="per-iteration epsilon decay",
)
- _ = p.add_argument("--td-lambda", type=float, default=0.6, help="TD(lambda) lambda")
_ = p.add_argument(
- "--epochs", type=int, default=20, help="candidate training epochs"
+ "--td-lambda",
+ type=float,
+ default=0.7,
+ help="TD(lambda) lambda",
+ )
+ _ = p.add_argument(
+ "--epochs",
+ type=int,
+ default=20,
+ help="candidate training epochs",
+ )
+ _ = p.add_argument(
+ "--lr",
+ type=float,
+ default=1e-4,
+ help="learning rate",
+ )
+ _ = p.add_argument(
+ "--batch",
+ type=int,
+ default=128,
+ help="training batch size",
)
- _ = p.add_argument("--lr", type=float, default=1e-3, help="learning rate")
- _ = p.add_argument("--batch", type=int, default=128, help="training batch size")
_ = p.add_argument(
"--val-frac",
type=float,
@@ -560,22 +596,22 @@ def main() -> None:
help="fraction of rows held out for validation",
)
_ = p.add_argument(
- "--tournament-eps",
- type=float,
- default=0.01,
- help="tournament epsilon (random-move probability)",
+ "--matchs",
+ type=int,
+ default=200,
+ help="how many matches in a tournament",
)
_ = p.add_argument(
- "--tournament-games",
+ "--match-random-opening-length",
type=int,
- default=None,
- help="tournament games (1/tournament-eps if unset)",
+ default=2,
+ help="length of random opening in a match",
)
_ = p.add_argument(
"--promote",
type=float,
- default=0.0,
- help="candidate win rate among non-drawn tournament games needed to promote",
+ default=0.53,
+ help="candidate win rate among non-drawn matches needed to promote",
)
_ = p.add_argument(
"--procs",
@@ -587,16 +623,17 @@ def main() -> None:
"--depth",
type=int,
default=4,
- help="search depth for selfplay and the tournament",
+ help="search depth for selfplay and the matches",
)
_ = p.add_argument(
- "--min-ply", type=int, default=4, help="record positions at this ply or later"
+ "--min-ply",
+ type=int,
+ default=8,
+ help="record positions at this ply or later",
)
args = p.parse_args()
- if args.tournament_games is None:
- args.tournament_games = max(100, int(round(1 / args.tournament_eps)))
if args.procs is None:
args.procs = max(1, (os.cpu_count() or 1) // 2)
@@ -608,12 +645,11 @@ def main() -> None:
champ=champ,
depth=args.depth,
epochs=args.epochs,
- eps_decay=args.eps_decay,
- eps_min=args.eps_min,
- eps_start=args.eps_start,
games=args.games,
iter=iter,
lr=args.lr,
+ matches=args.matches,
+ match_random_opening_length=args.match_random_opening_length,
min_ply=args.min_ply,
procs=args.procs,
promote_rate=args.promote,
@@ -621,8 +657,6 @@ def main() -> None:
root=root,
size=args.size,
td_lambda=args.td_lambda,
- tournament_eps=args.tournament_eps,
- tournament_games=args.tournament_games,
val_frac=args.val_frac,
)
print(f"\n== done, champion in include/weights_{args.size}.c ==")
diff --git a/src/selfplay.c b/src/selfplay.c
index 8cd11b9..e8ff506 100644
--- a/src/selfplay.c
+++ b/src/selfplay.c
@@ -25,7 +25,6 @@
#include "actions.h"
#include "negamax.h"
-#include "nn.h"
#include "pv.h"
#include "tak.h"
#include "xorshift64.h"
@@ -34,18 +33,21 @@
#error "selfplay must be built with -DRECORD_PV (see the selfplay Makefile target)"
#endif
-#define MAX_PLY 256
+#define MAX_PLY 255
#define MAX_CELLS (6 * 6)
static tak_state_p state;
-static uint32_t min_ply;
static float row_head[MAX_PLY][3];
static uint8_t row_cells[MAX_PLY][MAX_CELLS];
static uint8_t row_term[MAX_PLY];
static float row_terminal_value[MAX_PLY];
+static uint32_t row_game_id[MAX_PLY];
static uint32_t n_rows;
-static uint32_t game_id; // PID, tags every row so games can be grouped
+
+static uint32_t game_id_black;
+static uint32_t game_id_white;
+
void negamax_display_progress(const uint8_t cur_depth,
const uint8_t init_depth,
@@ -54,47 +56,45 @@ void negamax_display_progress(const uint8_t cur_depth,
(void)(init_depth);
(void)(length);
}
+
static float win_value(const enum WIN_TYPE w) {
switch (w) {
- case WIN_FLAT_BLACK:
- case WIN_ROAD_BLACK:
+ case WIN_FLAT_BLACK:
+ case WIN_ROAD_BLACK:
return 1.0f;
- case WIN_FLAT_WHITE:
- case WIN_ROAD_WHITE:
+ case WIN_FLAT_WHITE:
+ case WIN_ROAD_WHITE:
return -1.0f;
- default:
+ default:
return 0.0f;
}
}
-static int play_game(const uint32_t eps10000) {
+static int play_game(const uint8_t min_ply) {
reset_state(state, state->board_size);
n_rows = 0;
- const enum COLOUR eps_side = (rand32() & 1) ? C_BLACK : C_WHITE;
-
char ptn[16];
for (uint32_t ply = 0; ply < MAX_PLY; ply++) {
- negamax_generate(state);
-
- if (state->current_colour == eps_side && rand32() % 10000 < eps10000) {
+ if (ply < min_ply) {
uint32_t n_actions;
action_t *actions = actions_generate(state, &n_actions);
action_to_ptn(actions[rand32() % n_actions], ptn);
} else {
+ negamax_generate(state);
+
strcpy(ptn, negamax_ptn);
- }
- const pv_leaf_t *leaf = pv_get_leaf();
- if (leaf->current_colour != eps_side && ply >= min_ply &&
- n_rows < MAX_PLY) {
+ const pv_leaf_t *leaf = pv_get_leaf();
memcpy(row_head[n_rows], leaf->head, sizeof(row_head[n_rows]));
memcpy(row_cells[n_rows], leaf->cells, sizeof(row_cells[n_rows]));
row_term[n_rows] = leaf->terminal;
row_terminal_value[n_rows] = leaf->terminal_value;
+ row_game_id[n_rows] = state->current_colour == C_BLACK ? game_id_black : game_id_white;
n_rows++;
}
+
const enum ACT_RESULT r = do_ptn(state, ptn);
if (r == GAME_END)
break;
@@ -118,7 +118,7 @@ static int play_game(const uint32_t eps10000) {
row_head[k][2]);
for (uint8_t c = 0; c < n_cells; c++)
fprintf(stdout, "%u,", (unsigned)row_cells[k][c]);
- fprintf(stdout, "%u,%.0f,%u,%.0f\n", game_id, R,
+ fprintf(stdout, "%u,%.0f,%u,%.0f\n", row_game_id[k], R,
(unsigned)row_term[k], row_terminal_value[k]);
}
@@ -126,27 +126,23 @@ static int play_game(const uint32_t eps10000) {
}
const char *usage =
- "selfplay, one game of asymmetric self-play training data.\n\
-Usage: selfplay <size> <eps> <depth> <min_ply>\n\
-Plays a single asymmetric game of <size>x<size> self-play: one side plays the engine's best move at every ply (pure minimax) and the other side plays the engine's best move except that with probability eps it plays a uniform random legal move; the colour assignment of these two players is random. Only the deterministic side's plies are written to stdout, one CSV row per recorded search, from ply <min_ply> onwards:\n\
-\n\
-parity,white_flats,black_flats,<cell ids...>,game_id,R,terminal,leaf_R\n\
-nn_train.py runs many of these in parallel to generate training data.\n\
-\n\
-Copyright (C) 2026, tslil clingman\n\
-\n\
+ "selfplay, one game of asymmetric self-play training data.\n\n\
+Usage: selfplay <size> <depth> <min_ply>\n\n \
+Plays a single game of <size>x<size> self-play, with <min_ply> moves made randomly. Only the deterministic plies are written to stdout, one CSV row per recorded search, from ply <min_ply> onwards:\n\n \
+\tparity,white_flats,black_flats,<cell ids...>,game_id,R,terminal,leaf_R\n\n \
+nn_train.py runs many of these in parallel to generate training data.\n\n \
+Copyright (C) 2026, tslil clingman\n\n \
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.";
int main(int argc, char **argv) {
- if (argc != 5) {
+ if (argc != 4) {
puts(usage);
return EXIT_FAILURE;
}
const uint8_t size = (uint8_t)atoi(argv[1]);
- const uint32_t eps10000 = (uint32_t)(atof(argv[2]) * 10000.0 + 0.5);
- negamax_search_depth = (uint8_t)atoi(argv[3]);
- min_ply = (uint32_t)atoi(argv[4]);
+ negamax_search_depth = (uint8_t)atoi(argv[2]);
+ const uint8_t min_ply = (uint8_t)atoi(argv[3]);
if (size != 5 && size != 6) {
fprintf(stderr, "selfplay: size must be 5 or 6\n");
@@ -156,21 +152,23 @@ int main(int argc, char **argv) {
fprintf(stderr, "selfplay: depth must be <= %d\n", NEGAMAX_MAX_DEPTH);
return EXIT_FAILURE;
}
- if (eps10000 >= 10000) {
- fprintf(stderr, "selfplay: eps must be < 1\n");
+ if (min_ply >= MAX_PLY) {
+ fprintf(stderr, "selfplay: min_ply must be < %d\n", MAX_PLY);
return EXIT_FAILURE;
}
// Processes launched in the same second must not share a seed
- game_id = (uint32_t)getpid();
xors = ((uint64_t)time(NULL) ^ ((uint64_t)getpid() << 32)) *
0x9E3779B97F4A7C15ULL +
- 0xC0FFEEEE;
+ 0xC0FFEE;
+
+ game_id_black = rand32();
+ game_id_white = rand32();
state = new_tak_state(size);
negamax_init(size);
- play_game(eps10000);
+ play_game(min_ply);
negamax_free();
free_tak_state(state);
generated by cgit v1.3.1 (git 2.54.0) at 2026-10-15 04:24:33 +0000