might as well enable size 6

Same network architecture, same training principle. Predictably this is
too slow.

Also statically allocate state in driver programmes.

1 files changed, 0 insertions, 33 deletions

diff --git a/include/weights.c b/include/weights.c
deleted file mode 100644
index 1fa864e..0000000
--- a/include/weights.c
+++ /dev/null
@@ -1,33 +0,0 @@
-/*
- * Model: "model"
- * _________________________________________________________________
- *  Layer (type)                Output Shape              Param #   
- * =================================================================
- *  input_1 (InputLayer)        [(None, 28)]              0         
- *                                                                  
- *  dense (Dense)               (None, 64)                1856      
- *                                                                  
- *  dense_1 (Dense)             (None, 2)                 130       
- *                                                                  
- * =================================================================
- * Total params: 1,986
- * Trainable params: 1,986
- * Non-trainable params: 0
- * _________________________________________________________________
- * ([0.5177317261695862, 0.755382776260376], [0.5241230130195618, 0.7530876398086548])
-*/
-
-#include "weights.h"
-
-const float dense1_weights[DENSE_NUM][INP_NUM] =
-{{0.0335812121629715, -0.21365489065647125, -0.653753936290741, -0.13572198152542114, 0.18898768723011017, 0.06430475413799286, 0.1521165519952774, -0.6386323571205139, 0.5113293528556824, 0.3224753439426422, 0.3006350100040436, 0.4426257014274597, -0.4259096086025238, 0.34491172432899475, 0.26074907183647156, 0.30206671357154846, 0.2114274799823761, -0.5099963545799255, 0.38777005672454834, 0.23917558789253235, 0.32478395104408264, 0.2528369724750519, -0.5045477747917175, 0.10504062473773956, 0.34629005193710327, 0.28095799684524536, 0.31814444065093994, -0.7089307904243469}, {0.0565570704638958, -0.4527612030506134, 0.22363899648189545, -0.4776171147823334, -0.4429882764816284, 0.09122249484062195, 0.08279165625572205, 0.29376256465911865, -0.23718500137329102, -0.5789054036140442, 0.28780052065849304, 0.6442199945449829, 0.03741508722305298, -0.220468670129776, -0.644933819770813, -0.13106265664100647, 0.5042467713356018, 0.43313512206077576, 0.5279864072799683, 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-
-const float dense1_biases[DENSE_NUM] =
-{-0.1444406658411026, -0.9969395995140076, -0.6437257528305054, -0.5090100169181824, -0.4562266170978546, -0.7947681546211243, -0.66095370054245, -0.0757993534207344, -0.6305758357048035, -0.6522586345672607, -0.6137698292732239, 0.06795938313007355, -0.5988752841949463, -0.022649021819233894, -0.559893012046814, -0.34122252464294434, 0.21291229128837585, -0.9544443488121033, -0.5839042663574219, -0.3325875997543335, -0.8768086433410645, -0.3371303975582123, -0.804802417755127, -0.7296857833862305, -0.24707458913326263, -0.9100144505500793, -0.7247095704078674, -0.6324146389961243, -0.42117181420326233, -1.2145949602127075, -0.7118635177612305, -0.9112556576728821, -0.21369697153568268, -0.10298735648393631, -0.8274878263473511, -0.6126794219017029, -0.7786099314689636, -0.5083696246147156, -0.38434338569641113, -0.468181848526001, -0.5246707201004028, -0.6266580820083618, -0.3932459354400635, -0.6446056365966797, -0.8690927028656006, -0.7806448936462402, -0.7514670491218567, -0.4992736577987671, -0.4725331962108612, -0.8359085321426392, -0.3995131254196167, -0.701408326625824, 0.13735836744308472, -0.7701425552368164, 0.37747254967689514, -0.8496323227882385, -0.41388845443725586, -0.3626680374145508, -0.4750637412071228, -1.0076007843017578, -0.4247843325138092, -0.8280375599861145, -0.8584521412849426, -0.49181294441223145};
-
-const float output_weights[2][DENSE_NUM] =
-{{-0.10164133459329605, -0.06545510143041611, -0.12559004127979279, -0.09770263731479645, 0.020511239767074585, -0.11956804245710373, 0.0725698173046112, 0.09884587675333023, 0.03334106504917145, -0.07531746476888657, -0.04404358193278313, 0.04667624458670616, -0.10733920335769653, 0.11603111028671265, -0.09832630306482315, -0.029710080474615097, 0.6112914681434631, 0.09875980764627457, 0.04528747498989105, 0.04975724592804909, 0.05296019837260246, -0.1494731307029724, 0.06372635811567307, 0.05117323249578476, -0.4960876405239105, 0.08172430098056793, 0.09049712121486664, 0.16494503617286682, 0.12463495880365372, 0.10889994353055954, 0.0901939794421196, -0.07425925135612488, -0.09327994287014008, 0.07225991785526276, 0.0995996817946434, 0.1002214103937149, 0.13605892658233643, -0.2738678455352783, 0.07213583588600159, 0.031051557511091232, -0.09413432329893112, -0.05657240375876427, 0.023954149335622787, -0.11132869869470596, 0.0918613076210022, 0.1731780767440796, -0.048148252069950104, -0.08594620227813721, -0.07079077512025833, 0.028347637504339218, 0.04007003828883171, -0.08521876484155655, -0.13736766576766968, 0.0973486453294754, -0.3953056037425995, -0.09303829818964005, 0.0926792323589325, 0.08662958443164825, 0.07239469885826111, 0.12995171546936035, -0.08624651283025742, -0.13703757524490356, 0.1074426919221878, -0.05400789529085159}, {0.09475231915712357, 0.10763916373252869, 0.10490848124027252, 0.051702577620744705, -0.025973767042160034, 0.1243276372551918, -0.09184729307889938, -0.09110323339700699, -0.10927686840295792, 0.07648954540491104, 0.08314546942710876, -0.054432936012744904, 0.11420167982578278, -0.14501862227916718, 0.07449985295534134, 0.04114171117544174, -0.5540419816970825, -0.11702275276184082, -0.057106584310531616, -0.11389349400997162, -0.04799086973071098, 0.11528362333774567, -0.10561501979827881, -0.06099977344274521, 0.5406088829040527, -0.07843243330717087, -0.07121624052524567, -0.15534670650959015, -0.10739737004041672, -0.10599866509437561, -0.03090781159698963, 0.1024080142378807, 0.11164399981498718, -0.10347762703895569, -0.09762325882911682, -0.044070787727832794, -0.1382112205028534, 0.2635824978351593, -0.013381495140492916, -0.017522230744361877, 0.09075458347797394, 0.08058229833841324, -0.03840004280209541, 0.08596818149089813, -0.10802465677261353, -0.17988164722919464, 0.08185803890228271, 0.09076226502656937, 0.042497776448726654, -0.0991385206580162, -0.03188726678490639, 0.0789727196097374, 0.12080144137144089, -0.12002957612276077, 0.3941708207130432, 0.07739747315645218, -0.04954647645354271, -0.10626203566789627, -0.054530855268239975, -0.19077910482883453, 0.07939524203538895, 0.10724455863237381, -0.09315766394138336, 0.07806982845067978}};
-
-const float output_bias[2] =
-{0.3762611150741577, 0.6172211170196533};
-