Playing around with huge nn's, poorly trained.sixes

Not great at shallow depths

18 files changed, 72 insertions, 43 deletions

diff --git a/include/actions.c b/include/actions.c
index 0b7d860..59bd08a 100644
--- a/include/actions.c
+++ b/include/actions.c
@@ -12,7 +12,7 @@
 	General Public License for more details.
 
 	You should have received a copy of the GNU General Public License
-	along with Takwrap.  If not, see <https://www.gnu.org/licenses/>.
+	along with ct.  If not, see <https://www.gnu.org/licenses/>.
 */
 
 #include "actions.h"
diff --git a/include/actions.h b/include/actions.h
index 37c8d9e..5906bf1 100644
--- a/include/actions.h
+++ b/include/actions.h
@@ -12,7 +12,7 @@
 	General Public License for more details.
 
 	You should have received a copy of the GNU General Public License
-	along with Takwrap.  If not, see <https://www.gnu.org/licenses/>.
+	along with ct.  If not, see <https://www.gnu.org/licenses/>.
 */
 
 #ifndef ACTIONS_H
diff --git a/include/cnn1986.c b/include/cnn1986.c
index dc0e116..c2ef98d 100644
--- a/include/cnn1986.c
+++ b/include/cnn1986.c
@@ -12,7 +12,7 @@
 	General Public License for more details.
 
 	You should have received a copy of the GNU General Public License
-	along with Takwrap.  If not, see <https://www.gnu.org/licenses/>.
+	along with ct.  If not, see <https://www.gnu.org/licenses/>.
 */
 
 #include "cnn1986.h"
@@ -33,18 +33,18 @@ float cnn1986_evaluate_black_win(void) {
 	 *  Convolution layer *
 	 * ------------------ */
 	// for each kernel
-	for (uint8_t kern = 0; kern < KERN_NUM; kern++) {
+	for (int kern = 0; kern < KERN_NUM; kern++) {
 		// the stride is 1, march across the board
-		for (uint8_t bx = 0; bx < KERN_OSIZE; bx++) {
-			for (uint8_t by = 0; by < KERN_OSIZE; by++) {
+		for (int bx = 0; bx < KERN_OSIZE; bx++) {
+			for (int by = 0; by < KERN_OSIZE; by++) {
 				flattened[kern+KERN_NUM*(bx+by*KERN_OSIZE)] =
 					conv2d_biases[kern];
 				// Compute the convolution for this position
-				for (uint8_t ky = 0; ky < KERN_SIZE; ky++) {
-					for (uint8_t kx = 0; kx < KERN_SIZE; kx++) {
-						for (uint8_t c = 0; c < KERN_CHAN; c++) {
+				for (int ky = 0; ky < KERN_SIZE; ky++) {
+					for (int kx = 0; kx < KERN_SIZE; kx++) {
+						for (int c = 0; c < KERN_CHAN; c++) {
 							// Where we are on the board
-							const uint8_t loc = kx+bx+(ky+by)*5;
+							const int loc = kx+bx+(ky+by)*6;
 							// Look up what's on the board at this location, and
 							// multiply it. For c=0 we have to do some extra work
 							float lookup = 0;
@@ -76,9 +76,9 @@ float cnn1986_evaluate_black_win(void) {
 	/* ------------------ *
 	 *  First dense layer *
 	 * ------------------ */
-	for (uint8_t d1 = 0; d1 < DENSE1_NUM; d1++) {
+	for (int d1 = 0; d1 < DENSE1_NUM; d1++) {
 		dense1[d1] = dense1_biases[d1];
-		for (uint8_t fl = 0; fl < CONV_NUM+2; fl++) {
+		for (int fl = 0; fl < CONV_NUM+2; fl++) {
 			dense1[d1] += flattened[fl]*dense1_weights[d1][fl];
 		}
 		RELU(dense1[d1]);
@@ -86,9 +86,9 @@ float cnn1986_evaluate_black_win(void) {
 	/* ------------------- *
 	 *  Second dense layer *
 	 * ------------------- */
-	for (uint8_t d2 = 0; d2 < DENSE2_NUM; d2++) {
+	for (int d2 = 0; d2 < DENSE2_NUM; d2++) {
 		dense2[d2] = dense2_biases[d2];
-		for (uint8_t d1 = 0; d1 < DENSE1_NUM; d1++) {
+		for (int d1 = 0; d1 < DENSE1_NUM; d1++) {
 			dense2[d2] += dense1[d1]*dense2_weights[d2][d1];
 		}
 		RELU(dense2[d2]);
@@ -97,7 +97,7 @@ float cnn1986_evaluate_black_win(void) {
 	 *  Output layer *
 	 * ------------- */
 	float output = output_bias;
-	for (uint8_t d2 = 0; d2 < DENSE2_NUM; d2++) {
+	for (int d2 = 0; d2 < DENSE2_NUM; d2++) {
 		output += dense2[d2]*output_weights[d2];
 	}
 	// 2*(clamped Pade approximant of logistic function) - 1
diff --git a/include/cnn1986.h b/include/cnn1986.h
index 97f84d9..e9027ae 100644
--- a/include/cnn1986.h
+++ b/include/cnn1986.h
@@ -12,7 +12,7 @@
 	General Public License for more details.
 
 	You should have received a copy of the GNU General Public License
-	along with Takwrap.  If not, see <https://www.gnu.org/licenses/>.
+	along with ct.  If not, see <https://www.gnu.org/licenses/>.
 */
 
 #include <tak.h>
diff --git a/include/lcdlib.c b/include/lcdlib.c
index efbdf3d..fbc8083 100644
--- a/include/lcdlib.c
+++ b/include/lcdlib.c
@@ -12,7 +12,7 @@
 	General Public License for more details.
 
 	You should have received a copy of the GNU General Public License
-	along with Takwrap.  If not, see <https://www.gnu.org/licenses/>.
+	along with ct.  If not, see <https://www.gnu.org/licenses/>.
 */
 
 #include "lcdlib.h"
diff --git a/include/lcdlib.h b/include/lcdlib.h
index 7750c7b..1193298 100644
--- a/include/lcdlib.h
+++ b/include/lcdlib.h
@@ -12,7 +12,7 @@
 	General Public License for more details.
 
 	You should have received a copy of the GNU General Public License
-	along with Takwrap.  If not, see <https://www.gnu.org/licenses/>.
+	along with ct.  If not, see <https://www.gnu.org/licenses/>.
 */
 
 #include <stdlib.h>
diff --git a/include/negamax.c b/include/negamax.c
index 0afa153..62c3720 100644
--- a/include/negamax.c
+++ b/include/negamax.c
@@ -12,7 +12,7 @@
 	General Public License for more details.
 
 	You should have received a copy of the GNU General Public License
-	along with Takwrap.  If not, see <https://www.gnu.org/licenses/>.
+	along with ct.  If not, see <https://www.gnu.org/licenses/>.
 */
 
 #include "negamax.h"
diff --git a/include/negamax.h b/include/negamax.h
index 4a09ecb..552d6a6 100644
--- a/include/negamax.h
+++ b/include/negamax.h
@@ -12,7 +12,7 @@
 	General Public License for more details.
 
 	You should have received a copy of the GNU General Public License
-	along with Takwrap.  If not, see <https://www.gnu.org/licenses/>.
+	along with ct.  If not, see <https://www.gnu.org/licenses/>.
 */
 
 #include <stdint.h>
diff --git a/include/tak.c b/include/tak.c
index b93660f..4149371 100644
--- a/include/tak.c
+++ b/include/tak.c
@@ -12,7 +12,7 @@
 	General Public License for more details.
 
 	You should have received a copy of the GNU General Public License
-	along with Takwrap.  If not, see <https://www.gnu.org/licenses/>.
+	along with ct.  If not, see <https://www.gnu.org/licenses/>.
 */
 
 #include "tak.h"
diff --git a/include/tak.h b/include/tak.h
index 1c73002..27e02e4 100644
--- a/include/tak.h
+++ b/include/tak.h
@@ -12,7 +12,7 @@
 	General Public License for more details.
 
 	You should have received a copy of the GNU General Public License
-	along with Takwrap.  If not, see <https://www.gnu.org/licenses/>.
+	along with ct.  If not, see <https://www.gnu.org/licenses/>.
 */
 
 #ifndef TAK_H
diff --git a/include/tt_llcht.c b/include/tt_llcht.c
index 1ea8767..108fd87 100644
--- a/include/tt_llcht.c
+++ b/include/tt_llcht.c
@@ -12,7 +12,7 @@
 	General Public License for more details.
 
 	You should have received a copy of the GNU General Public License
-	along with Takwrap.  If not, see <https://www.gnu.org/licenses/>.
+	along with ct.  If not, see <https://www.gnu.org/licenses/>.
 */
 
 #include "tt_llcht.h"
diff --git a/include/tt_llcht.h b/include/tt_llcht.h
index c23f814..e217a96 100644
--- a/include/tt_llcht.h
+++ b/include/tt_llcht.h
@@ -12,7 +12,7 @@
 	General Public License for more details.
 
 	You should have received a copy of the GNU General Public License
-	along with Takwrap.  If not, see <https://www.gnu.org/licenses/>.
+	along with ct.  If not, see <https://www.gnu.org/licenses/>.
 */
 
 #ifndef TT_LLCHT_H
diff --git a/include/weights.c b/include/weights.c
index ec28401..d3bac37 100644
--- a/include/weights.c
+++ b/include/weights.c
@@ -12,31 +12,60 @@
 	General Public License for more details.
 
 	You should have received a copy of the GNU General Public License
-	along with Takwrap.  If not, see <https://www.gnu.org/licenses/>.
+	along with ct.  If not, see <https://www.gnu.org/licenses/>.
+*/
+
+/*
+ * Model: "model_1"
+ * __________________________________________________________________________________________________
+ * Layer (type)                    Output Shape         Param #     Connected to
+ * ==================================================================================================
+ * input_1 (InputLayer)            [(None, 6, 6, 7)]    0
+ * __________________________________________________________________________________________________
+ * conv2d (Conv2D)                 (None, 4, 4, 64)     4096        input_1[0][0]
+ * __________________________________________________________________________________________________
+ * flatten (Flatten)               (None, 1024)         0           conv2d[0][0]
+ * __________________________________________________________________________________________________
+ * input_2 (InputLayer)            [(None, 2)]          0
+ * __________________________________________________________________________________________________
+ * concatenate (Concatenate)       (None, 1026)         0           flatten[0][0]
+ *                                                                  input_2[0][0]
+ * __________________________________________________________________________________________________
+ * dense (Dense)                   (None, 64)           65728       concatenate[0][0]
+ * __________________________________________________________________________________________________
+ * dense_1 (Dense)                 (None, 32)           2080        dense[0][0]
+ * __________________________________________________________________________________________________
+ * dense_2 (Dense)                 (None, 1)            33          dense_1[0][0]
+ * ==================================================================================================
+ * Total params: 71,937
+ * Trainable params: 71,937
+ * Non-trainable params: 0
+ * __________________________________________________________________________________________________
+ * 0.18916212022304535
 */
 
 #include "weights.h"
 
 const float conv2d_weights[KERN_NUM][KERN_SIZE][KERN_SIZE][KERN_CHAN] =
-{{{{0.36853331327438354, 0.13197043538093567, -0.10850891470909119, 0.11439184099435806, -0.18103714287281036, 0.2870127856731415}, {0.22437581419944763, 0.22473859786987305, -0.07241908460855484, -0.18087545037269592, -0.4224194288253784, 0.08597474545240402}, {0.2862361669540405, 0.045642510056495667, 0.20831039547920227, 0.1295289546251297, 0.6973511576652527, -0.024992210790514946}}, {{0.23791751265525818, 0.12410031259059906, -0.01995648629963398, -0.027202459052205086, -0.08278238028287888, -0.160722017288208}, {0.7002286314964294, 0.26837587356567383, 0.2776748836040497, 0.5116508603096008, -0.20092159509658813, -0.07630595564842224}, {0.459989994764328, 0.11799280345439911, 0.13892707228660583, 1.010933756828308, 0.2575095593929291, -0.700024425983429}}, {{1.043813705444336, 0.2491917759180069, -0.1860327422618866, -0.11774677783250809, 0.3819361925125122, 0.017854824662208557}, {1.4321590662002563, -0.034674979746341705, 0.033052533864974976, 0.4322509169578552, 0.8070812225341797, 0.9787366390228271}, {2.148289680480957, 0.2654041647911072, 0.4971856474876404, 1.0566805601119995, 1.1781615018844604, 1.9458420276641846}}}, {{{2.8043012619018555, 0.5981557369232178, 0.14076505601406097, 0.44255906343460083, -0.2780279517173767, 0.31853681802749634}, {0.4342345595359802, -0.04190421476960182, 0.4480525255203247, 0.9858571290969849, -0.4627513587474823, 0.40116599202156067}, {-0.9317502379417419, 0.07250810414552689, -0.18414995074272156, -0.3566206991672516, -0.2459440678358078, -0.05446876585483551}}, {{0.5030801296234131, 0.13176029920578003, -0.033242058008909225, 0.06673198193311691, 0.374639093875885, 0.4195535480976105}, {-0.4617132246494293, 0.14843060076236725, -0.12188810855150223, -0.3877445161342621, -0.0800260379910469, -0.8219804167747498}, {-0.5283677577972412, -0.12185059487819672, 0.06713918596506119, 0.2718829810619354, 0.173270121216774, -0.6711069941520691}}, {{0.08322977274656296, -0.18435949087142944, -0.013488933444023132, -0.38123974204063416, 0.7090172171592712, -0.8116384744644165}, {-0.16320005059242249, 0.2736445367336273, -0.1458773910999298, -0.3400840759277344, 0.2123827040195465, -1.0862748622894287}, {-0.14335627853870392, 0.05336679518222809, 0.00552770309150219, 0.05464665964245796, -0.23052190244197845, -0.4520905613899231}}}, {{{0.3625907003879547, -0.25347957015037537, 0.24311427772045135, 0.4751688241958618, 0.5261889696121216, 0.5765055418014526}, {1.1278742551803589, 0.2368684709072113, 0.1968187391757965, 0.1820613443851471, 0.2607775330543518, 0.07630332559347153}, {-0.07774196565151215, -0.031166110187768936, -0.07550635933876038, 0.44522079825401306, 0.1973133683204651, 0.32190650701522827}}, {{1.0389032363891602, 0.13338688015937805, 0.18729910254478455, 0.17540185153484344, 0.04116402193903923, -0.33788323402404785}, {0.17360253632068634, 0.12091411650180817, 0.0842951089143753, 0.1802147924900055, 0.07530909776687622, 0.3635297417640686}, {0.7771968841552734, 0.23097647726535797, 0.17835092544555664, -0.17011681199073792, 0.2115011215209961, 0.28798195719718933}}, {{0.6192851662635803, 0.022625546902418137, 0.21817998588085175, 0.22533614933490753, 0.025148002430796623, 0.5501201748847961}, {0.8939119577407837, 0.03640613332390785, 0.05934160575270653, 0.15625111758708954, -0.021111484616994858, 0.21483953297138214}, {-0.06323949992656708, -0.2032194882631302, -0.13115160167217255, -0.017766162753105164, -0.10735264420509338, -0.30792075395584106}}}, {{{-0.12249187380075455, -0.18435627222061157, -0.03533153608441353, -0.24531541764736176, -0.026564089581370354, -0.42447829246520996}, {-0.14097285270690918, -0.18730753660202026, -0.1958683580160141, 0.047689784318208694, 0.08839572221040726, -0.10003238916397095}, {-0.45746928453445435, -0.2567964196205139, -0.31645768880844116, -0.38906657695770264, -0.16522565484046936, -0.07838720828294754}}, {{-0.011095648631453514, 0.2970455586910248, 0.2504645586013794, 0.16319099068641663, 0.12874269485473633, 0.18941813707351685}, {-0.06969325244426727, -0.10338503867387772, 0.005549769848585129, 0.22490398585796356, -0.061957888305187225, 0.22812047600746155}, {-1.0291906595230103, -0.3009341061115265, -0.14633411169052124, -0.45392656326293945, -0.51871657371521, -0.862667441368103}}, {{0.1917204111814499, -0.0510188490152359, 0.007119815796613693, 0.7228220105171204, 0.29497233033180237, 0.32933491468429565}, {0.40079012513160706, 0.23186279833316803, 0.11672820150852203, 0.07689567655324936, -0.06533240526914597, -0.3635445237159729}, {-1.913336157798767, -0.48580050468444824, -0.08847742527723312, -0.3362463712692261, -0.10492833703756332, -0.7262025475502014}}}, {{{-0.061563413590192795, 0.0845799595117569, 0.005723972339183092, 0.18494603037834167, 0.43687769770622253, 0.26093801856040955}, {-0.6335328817367554, -0.16688567399978638, -0.11816214770078659, -0.07295821607112885, -0.2829402983188629, -0.10576433688402176}, {-1.016042947769165, -0.021593062207102776, -0.10920312255620956, -0.3226301670074463, -0.0330846831202507, 0.04788395017385483}}, {{-0.07654525339603424, 0.14090591669082642, 0.14645099639892578, 0.17799167335033417, -0.07417642325162888, 0.1496438831090927}, {-0.48197346925735474, -0.1388481855392456, 0.031081423163414, -0.0755804032087326, -0.26870837807655334, 0.22645631432533264}, {1.7206103801727295, -0.218328058719635, -0.12412701547145844, 0.06527724862098694, 0.10605369508266449, 0.10580744594335556}}, {{-0.1568414717912674, -0.1902957558631897, 0.12730790674686432, 0.0574195496737957, -0.4043963551521301, -0.0073846448212862015}, {0.2705155313014984, 0.16274090111255646, -0.03367019072175026, -0.035613153129816055, 0.0808665007352829, 0.5641733407974243}, {0.4084755480289459, -0.0013839717721566558, 0.07734677940607071, 0.07815942913293839, 0.35568758845329285, 0.3561573624610901}}}, {{{1.1070384979248047, -0.23465721309185028, 0.3139123022556305, 0.4914771616458893, 1.2322015762329102, 0.6010463833808899}, {0.7837856411933899, -0.2002493441104889, -0.06414883583784103, -0.006303523667156696, 0.3729422986507416, 0.0214411448687315}, {0.6771957278251648, 0.04044964164495468, 0.010175158269703388, -0.030905166640877724, -0.08313947170972824, 0.02828463539481163}}, {{0.3588506877422333, 0.3021303117275238, 0.19490420818328857, 0.41656604409217834, 0.4883577823638916, 0.20982570946216583}, {0.38774895668029785, -0.017752137035131454, 0.2741468548774719, 0.5110231041908264, 0.14892414212226868, 0.029608706012368202}, {0.029468892142176628, 0.013304182328283787, -0.040127046406269073, 0.2554202973842621, 0.018175194039940834, 0.008323008194565773}}, {{-1.2786340713500977, -0.30686241388320923, 0.1794748455286026, -0.12508292496204376, 0.07393521815538406, 0.17330414056777954}, {-0.7309134602546692, -0.08941660821437836, 0.11421722173690796, -0.016809377819299698, -0.3343416154384613, -0.3121510148048401}, {-0.6887509226799011, -0.04171470180153847, -0.2381068766117096, -0.31102702021598816, 0.13327881693840027, 0.048931438475847244}}}, {{{-1.4889484643936157, -0.5068660974502563, 0.022097894921898842, 0.29979559779167175, -0.01564616896212101, -0.17528942227363586}, {-0.9739673733711243, -0.011822246015071869, 0.01819584146142006, -0.3880571126937866, -0.2768211364746094, 0.10872015357017517}, {-0.5329640507698059, -0.14220786094665527, 0.0032796834129840136, -0.25490280985832214, -0.18998588621616364, 0.023495879024267197}}, {{1.2054252624511719, 0.09268004447221756, -0.0435849204659462, 0.2405174821615219, 0.041635964065790176, 0.04074803739786148}, {-0.18779927492141724, -0.11105775088071823, -0.24978162348270416, -0.2650945484638214, -0.05307250842452049, -0.025725288316607475}, {-0.18719260394573212, 0.023694215342402458, -0.10807090252637863, -0.33897683024406433, 0.10573288053274155, 0.4209464490413666}}, {{0.5351808667182922, -0.21604514122009277, 0.3921806812286377, 0.2933255732059479, 0.2865733504295349, 0.37946370244026184}, {0.151222825050354, 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-0.39982321858406067, 0.3085636496543884, -0.7017222046852112, -0.4399940073490143, -0.043869052082300186, -0.3974568545818329}}}, {{{-0.3004184365272522, 0.10696972906589508, -0.18024872243404388, 0.5311205983161926, -0.2151879221200943, 0.18429574370384216, 0.15130801498889923}, {-0.19778990745544434, 0.16699019074440002, 0.2911071181297302, -0.21752479672431946, 0.0779556855559349, 0.04195341467857361, 0.9271407127380371}, {0.4532651901245117, -0.39740583300590515, 0.06816992163658142, 0.6456447243690491, -0.5271062850952148, 0.11931013315916061, -0.1733829379081726}}, {{-0.42433664202690125, 0.22016467154026031, -0.16341230273246765, -0.4339061975479126, -0.4130442142486572, -0.4333721697330475, 0.7737083435058594}, {0.29943373799324036, 0.2582572102546692, -0.434700608253479, -0.5576235055923462, 0.5491897463798523, 0.5925308465957642, 0.11341078579425812}, {0.6394715309143066, -0.11620185524225235, -0.010723309591412544, 1.492555856704712, 0.24398460984230042, 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{0.9262900948524475, 0.2808401882648468, -0.014398546889424324, -0.20393754541873932, -0.019625607877969742, 0.4782109260559082, -0.22023996710777283}}, {{0.014070999808609486, -0.0014938351232558489, 0.010848007164895535, -9.23242187127471e-05, 0.3426395356655121, -0.18682192265987396, -0.052528247237205505}, {0.925722599029541, 0.42334139347076416, 0.34340038895606995, 0.03213826194405556, -0.28069645166397095, 0.15505704283714294, -0.4467433989048004}, {-1.9135626554489136, 0.17035585641860962, -0.0644598975777626, -0.14624887704849243, 0.049030788242816925, 0.17936797440052032, -0.09887479990720749}}}, {{{-0.2754066288471222, 0.12353470921516418, 0.10594195872545242, -0.16355040669441223, 0.3426830470561981, -0.1662009358406067, -0.46918702125549316}, {-0.1744995415210724, -0.02139497548341751, -0.06672295928001404, -0.025294411927461624, 0.03496167063713074, 0.2867119014263153, -0.046771347522735596}, {0.3077778220176697, 0.11984580755233765, -0.11514340341091156, -0.054373424500226974, -0.23234543204307556, 0.06897185742855072, -0.3170510232448578}}, {{-0.29363852739334106, -0.06895751506090164, -0.01576942950487137, 0.08622490614652634, 0.00032869435381144285, -0.37896251678466797, 0.15166707336902618}, {-0.688947856426239, 0.17897406220436096, -0.08103131502866745, -0.4411271810531616, -0.33286356925964355, 0.2107418179512024, 0.6256701946258545}, {0.062140073627233505, -0.25726401805877686, 0.054981376975774765, -0.09893374145030975, -0.20671634376049042, 0.0904887318611145, 0.036444537341594696}}, {{0.2675197720527649, 0.2469797432422638, -0.1390921026468277, -0.14192810654640198, -0.13546645641326904, -0.28683266043663025, 0.024236002936959267}, {0.1588180512189865, -0.19274437427520752, 0.2865596413612366, 0.11650224030017853, -0.36800020933151245, -0.11681925505399704, 0.4068129062652588}, {1.7830485105514526, -0.2552419900894165, 0.2271547168493271, 0.31796887516975403, 2.8974902629852295, 0.5155991911888123, 0.2198197990655899}}}, {{{-0.8020294308662415, 0.014719548635184765, 0.04196733981370926, -1.4111082553863525, -0.12879058718681335, -0.11607663333415985, -0.8693265318870544}, {-0.3646063208580017, 0.15650363266468048, -0.47846299409866333, -1.0958954095840454, 0.3345375955104828, -0.4428876042366028, -0.6449923515319824}, {-0.6236856579780579, -0.5564312934875488, -0.04685472697019577, 0.14721061289310455, -0.03394349291920662, 0.0703660175204277, -0.8236773610115051}}, {{-0.5919773578643799, -0.22946889698505402, -0.8334763050079346, -0.6101202368736267, 0.09282572567462921, -0.23313787579536438, -0.6111856698989868}, {0.05847926437854767, 0.5535055994987488, 0.127182736992836, 0.9450863003730774, -0.41965070366859436, -0.6058053374290466, 0.6671674847602844}, {-0.6598122119903564, 0.6169700026512146, -1.1938097476959229, -0.5920437574386597, 0.3880920112133026, -0.3081949055194855, -0.5202717185020447}}, {{-0.4267095923423767, -0.4412994682788849, 0.16148796677589417, 0.10806368291378021, 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 const float conv2d_biases[KERN_NUM] =
-{-0.6451589465141296, -0.47988107800483704, 1.0866423845291138, 0.8259075880050659, 0.7077365517616272, 0.06997911632061005, 0.7337013483047485, 0.7401207685470581, 0.3617548644542694, 0.9209133386611938, -0.8768176436424255, 0.4427519142627716};
+{-1.025979995727539, -1.6919560432434082, -1.4656116962432861, -0.9692373275756836, -1.1441868543624878, -0.7678055763244629, -1.2833245992660522, -1.1680688858032227, -1.0847537517547607, -1.3797433376312256, -0.9570936560630798, -0.7990304231643677, -0.36733704805374146, -1.1546976566314697, -1.3918006420135498, -1.0324949026107788, -0.9214962720870972, -1.055287480354309, -1.238057017326355, -0.01617768406867981, -1.0519083738327026, -1.152655005455017, -1.4553608894348145, -1.2851598262786865, -0.8706989884376526, -1.0122088193893433, -1.0145750045776367, -1.541686773300171, -1.0059123039245605, -1.3930717706680298, -1.0151787996292114, -1.2991260290145874, -1.2836958169937134, -1.2658565044403076, -1.482755184173584, -1.560078740119934, -1.159911870956421, -1.5018702745437622, -1.4088287353515625, -1.4125827550888062, -1.0313715934753418, -1.1652024984359741, -1.3452203273773193, -1.4739784002304077, -1.18569815158844, -1.062045931816101, -1.0163893699645996, -1.2533389329910278, -0.8905131220817566, -0.8123373985290527, -1.5482728481292725, -1.3792237043380737, -1.1574923992156982, -0.9130589365959167, -1.268011212348938, -1.0734130144119263, -1.511418342590332, -1.3357809782028198, -1.6092808246612549, -1.0241003036499023, -0.6804627776145935, -0.7684184908866882, -1.083536148071289, -1.4155733585357666};
 
 const float dense1_weights[DENSE1_NUM][CONV_NUM+2] =
-{{1.0535576343536377, -0.13765782117843628, 0.4458506405353546, 0.017704816535115242, 0.16654333472251892, 1.988281011581421, 1.423511266708374, -1.076285719871521, 0.31845995783805847, -1.2419943809509277, 0.5747542977333069, -0.5936117172241211, 0.6230117678642273, -0.41226616501808167, 0.23031051456928253, 0.6637664437294006, 0.04129592329263687, -0.10971066355705261, 0.6160904765129089, -0.7729862928390503, 0.4112888276576996, -0.32791024446487427, 0.6544229388237, -0.21252456307411194, -0.8629195690155029, 0.07906495034694672, -0.32754015922546387, -0.36489248275756836, -0.09536723792552948, 0.2869880497455597, 0.27527952194213867, -0.6454789042472839, -0.3707139492034912, -0.09653671085834503, 1.3492153882980347, -0.11703509837388992, -0.4595806896686554, -0.006820190232247114, -0.9968237280845642, 0.5343625545501709, 0.43985480070114136, -0.32416728138923645, 1.7352285385131836, -0.7003371119499207, 0.8714061975479126, -1.2230373620986938, 0.14532382786273956, -0.4315739870071411, 0.6903901696205139, -0.02914654277265072, 0.14594882726669312, -0.0438900925219059, 0.0660790428519249, 0.09821983426809311, 0.49424201250076294, -0.8857726454734802, 0.627997875213623, -0.5567572712898254, 0.9108500480651855, -0.4091767370700836, -0.2832707464694977, 0.13177846372127533, -0.10077259689569473, 0.05184166878461838, -0.10469815880060196, -0.08393889665603638, 0.5399074554443359, -1.1768603324890137, 0.62517249584198, -0.5544601678848267, 1.8188426494598389, 0.07897178083658218, -1.1368229389190674, -0.4065854549407959, -1.4979749917984009, 0.6648167371749878, 1.1669824123382568, -0.07228367030620575, 0.15067777037620544, 1.6310100555419922, 0.6072654724121094, -0.381766140460968, 0.9733656644821167, -0.5240350365638733, 0.082554392516613, -0.1991836577653885, 0.1622454971075058, 2.1914143562316895, 0.3106246590614319, -0.7196137309074402, -0.012188534252345562, -1.0873465538024902, 0.8631598949432373, -0.04625372961163521, 1.3172123432159424, 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 const float dense1_biases[DENSE1_NUM] =
-{-0.559496283531189, -0.1259697526693344, 0.5167818069458008, -0.07613079249858856, 0.016916882246732712, 0.562254011631012, 0.2608274519443512, 0.2632611393928528, 0.019986296072602272, -0.2393009513616562, 0.7170191407203674};
+{-0.9335781335830688, -0.5566722750663757, -0.6346517205238342, 0.10477116703987122, 0.14898841083049774, -0.37570399045944214, -0.07168222218751907, -0.5023680329322815, -0.7417957186698914, -0.051551781594753265, -0.017147602513432503, -0.09606162458658218, -0.07804633677005768, -0.750089704990387, -1.124644160270691, -0.027500461786985397, -0.10721774399280548, -0.07087724655866623, -0.29569992423057556, -0.018573829904198647, 0.2717044949531555, -0.08104663342237473, -0.11410009860992432, -0.14423979818820953, -0.49407434463500977, -0.8865655660629272, -0.46702128648757935, -0.4933752417564392, -0.49090367555618286, -0.3000009059906006, -1.0978142023086548, -0.02988465316593647, 0.1448247879743576, 1.1838690042495728, 0.7538337707519531, -0.6927851438522339, 0.8645142316818237, -0.38886815309524536, -0.44424518942832947, -0.3473068177700043, -0.24949322640895844, -0.1395944356918335, 0.3046056926250458, 0.008877036161720753, -0.36337780952453613, -0.09839127957820892, -0.5929518938064575, -0.16430449485778809, -0.17988330125808716, -1.2138174772262573, 0.42764198780059814, 0.8413234949111938, 0.3208715617656708, -0.3989182710647583, 0.20092496275901794, -0.6432073712348938, 1.115478515625, 0.08722448348999023, -0.332392156124115, 0.7368873953819275, 0.5789708495140076, -0.7618417739868164, -0.09540733695030212, -0.08169929683208466};
 
 const float dense2_weights[DENSE2_NUM][DENSE1_NUM] =
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-0.3425464332103729, -0.3395523428916931, -0.23990589380264282, -0.273216187953949, -0.10682594031095505, -0.8671600818634033, -0.11889298260211945, -0.09452883154153824, -0.12121286988258362, -0.48058488965034485, -0.0720922201871872, -0.21912169456481934}, {0.39696839451789856, 0.16825971007347107, 0.25543829798698425, -0.33057430386543274, -0.34590578079223633, 0.12054076045751572, 0.07711464166641235, 0.20386654138565063, 0.272712767124176, -0.3038378059864044, 0.24652615189552307, -0.35892918705940247, 0.054510727524757385, -0.5342904329299927, 0.3265978991985321, 0.14914487302303314, -0.15441079437732697, 0.12131738662719727, -0.37761446833610535, 0.30692020058631897, -0.1946105808019638, 0.10508150607347488, 0.06714624911546707, -0.1140669733285904, 0.3426784873008728, 0.2565388083457947, -0.39072686433792114, 0.40142059326171875, 0.28724443912506104, 0.3483685851097107, 0.36701858043670654, -0.11021333187818527, -0.14332827925682068, -0.5306478142738342, 0.64605313539505, -0.3656589090824127, -0.40095603466033936, 0.3268284797668457, 0.43592333793640137, 0.34754326939582825, -0.34562772512435913, -0.3396809995174408, -0.35520127415657043, 0.42023470997810364, 0.36637288331985474, 0.13162606954574585, 0.29536136984825134, 0.10484040528535843, -0.30495011806488037, -0.42122119665145874, -0.06618896126747131, -0.5155434012413025, -0.5657103657722473, 0.35621878504753113, -0.3433891534805298, 0.3038918077945709, -0.4097634553909302, -0.4603109061717987, 0.31870463490486145, 0.5730636119842529, 0.15571030974388123, 0.29171159863471985, 0.18771831691265106, 0.1420128345489502}, {-0.47314244508743286, -0.29468485713005066, -0.3152637481689453, 0.2857389748096466, 0.40869271755218506, -0.07546200603246689, 0.10614238679409027, -0.18436415493488312, -0.392280250787735, 0.36105188727378845, -0.34288308024406433, 0.47160032391548157, -0.06256923079490662, 0.5937845706939697, -0.4298188388347626, 0.18886445462703705, 0.2473859339952469, -0.08813075721263885, 0.4593392014503479, 0.045905791223049164, 0.04356808215379715, -0.06755879521369934, 0.0016502566868439317, 0.10174918919801712, -0.5231574177742004, -0.35971078276634216, 0.425618439912796, -0.509185254573822, -0.419984370470047, -0.48888063430786133, -0.5002447962760925, 0.2662975788116455, 0.07212012261152267, 0.5981008410453796, -0.7761551141738892, 0.4427957236766815, 0.4529435634613037, -0.037289880216121674, -0.5230511426925659, -0.4263715147972107, 0.3462516665458679, 0.381845086812973, 0.3288690149784088, -0.5258104205131531, -0.4496537446975708, -0.0759328156709671, -0.3179101049900055, 0.061551302671432495, 0.37834733724594116, 0.5757285356521606, -0.0029604786541312933, 0.5963753461837769, 0.6880798935890198, -0.35903316736221313, 0.464979887008667, -0.45170310139656067, 0.5244338512420654, 0.5316137075424194, -0.447767436504364, -0.7094200253486633, -0.01452137716114521, -0.36780107021331787, -0.23766662180423737, 0.08924718201160431}};
 
 const float dense2_biases[DENSE2_NUM] =
-{1.2298400402069092, 0.8133684992790222, 2.3766794204711914, 1.469264030456543, 1.2461377382278442, 0.29813963174819946, 0.2597852349281311, 0.34889695048332214};
+{0.6554441452026367, 0.742060124874115, 0.008100584149360657, 1.724141001701355, 0.2929442226886749, 0.16883140802383423, -1.0654476881027222, 1.6932523250579834, 1.7456269264221191, -1.3548107147216797, -0.5756872296333313, 1.8515546321868896, 0.169764906167984, -1.3419287204742432, 0.563632607460022, -1.4707905054092407, 1.9258009195327759, 0.14668838679790497, 1.8472660779953003, 0.55030357837677, -0.4038001596927643, 0.20015719532966614, -0.6136124730110168, 1.8584562540054321, -1.1876282691955566, 1.8947635889053345, -1.410881519317627, -0.028413860127329826, -0.543163001537323, 0.6955379247665405, 1.814804196357727, 1.800189733505249};
 
 const float output_weights[DENSE2_NUM] =
-{0.3434557020664215, -0.18194633722305298, 0.17597387731075287, 0.11844130605459213, -0.2467159777879715, -0.16700856387615204, 0.11766894161701202, 0.18488647043704987};
+{0.08696777373552322, 0.07319659739732742, 0.016408083960413933, -0.09514380246400833, 0.26943597197532654, -0.01932099275290966, 0.029889343306422234, -0.038257356733083725, -0.11142069101333618, 0.45444318652153015, 0.005660966504365206, 0.25764843821525574, 0.12694193422794342, 0.2900829315185547, -0.030117398127913475, -0.4681949019432068, 0.2966824173927307, -0.018330583348870277, -0.38682612776756287, 0.046388160437345505, -0.008189334534108639, 0.04743383079767227, 0.012799280695617199, 0.07078006863594055, 0.07779634743928909, 0.28509968519210815, -0.33164671063423157, 0.023442599922418594, -0.011205575428903103, 0.37787219882011414, 0.11079606413841248, -0.28480055928230286};
 
 const float output_bias =
-0.027359746396541595;
+-0.1633203774690628;
diff --git a/include/weights.h b/include/weights.h
index f736198..40e2161 100644
--- a/include/weights.h
+++ b/include/weights.h
@@ -12,16 +12,16 @@
 	General Public License for more details.
 
 	You should have received a copy of the GNU General Public License
-	along with Takwrap.  If not, see <https://www.gnu.org/licenses/>.
+	along with ct.  If not, see <https://www.gnu.org/licenses/>.
 */
 
 #define KERN_SIZE  3
-#define KERN_CHAN  6
-#define KERN_NUM   12
-#define DENSE1_NUM 11
-#define DENSE2_NUM 8
+#define KERN_CHAN  7
+#define KERN_NUM   64
+#define DENSE1_NUM 64
+#define DENSE2_NUM 32
 
-#define KERN_OSIZE (5-KERN_SIZE+1) // 5
+#define KERN_OSIZE (6-KERN_SIZE+1) // 5
 #define CONV_NUM   (KERN_NUM * KERN_OSIZE * KERN_OSIZE) // 108
 
 extern const float conv2d_weights[KERN_NUM][KERN_SIZE][KERN_SIZE][KERN_CHAN];
diff --git a/include/xorshift64.c b/include/xorshift64.c
index b743d68..6fde090 100644
--- a/include/xorshift64.c
+++ b/include/xorshift64.c
@@ -12,7 +12,7 @@
 	General Public License for more details.
 
 	You should have received a copy of the GNU General Public License
-	along with Takwrap.  If not, see <https://www.gnu.org/licenses/>.
+	along with ct.  If not, see <https://www.gnu.org/licenses/>.
 */
 
 #include "xorshift64.h"
diff --git a/include/xorshift64.h b/include/xorshift64.h
index 0b48f39..eda92af 100644
--- a/include/xorshift64.h
+++ b/include/xorshift64.h
@@ -12,7 +12,7 @@
 	General Public License for more details.
 
 	You should have received a copy of the GNU General Public License
-	along with Takwrap.  If not, see <https://www.gnu.org/licenses/>.
+	along with ct.  If not, see <https://www.gnu.org/licenses/>.
 */
 
 #ifndef XORSHIFT_H
diff --git a/include/zobrist.c b/include/zobrist.c
index bedfa68..58d995e 100644
--- a/include/zobrist.c
+++ b/include/zobrist.c
@@ -12,7 +12,7 @@
 	General Public License for more details.
 
 	You should have received a copy of the GNU General Public License
-	along with Takwrap.  If not, see <https://www.gnu.org/licenses/>.
+	along with ct.  If not, see <https://www.gnu.org/licenses/>.
 */
 
 #include "zobrist.h"
diff --git a/include/zobrist.h b/include/zobrist.h
index 8bf19cb..0d8ca47 100644
--- a/include/zobrist.h
+++ b/include/zobrist.h
@@ -12,7 +12,7 @@
 	General Public License for more details.
 
 	You should have received a copy of the GNU General Public License
-	along with Takwrap.  If not, see <https://www.gnu.org/licenses/>.
+	along with ct.  If not, see <https://www.gnu.org/licenses/>.
 */
 
 #include <xorshift64.h>