Nameexact_genome_1512568488_44_4478_1
Workunit2593686
Created7 Dec 2017, 10:09:20 UTC
Sent7 Dec 2017, 10:13:25 UTC
Report deadline12 Dec 2017, 4:42:40 UTC
Received7 Dec 2017, 23:52:35 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time2 hours 32 min 33 sec
CPU time1 hours 56 min 36 sec
Validate stateValid
Credit1,192.58
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size153.88 MB
Peak swap size156.82 MB
Peak disk usage1.58 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
e_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 56.3239593505859s, input_fired_time: 0.653559863567352, output_fired_time: 0.528876781463623, propagate_forward_time: 20.2284603118896, propagate_backward_time: 33.0543174743652, weight_update_time: 0.0841124504804611, other_time: 1.85874557495117
epoch time: 3.97680735588074s, input_fired_time: 0.0724875703454018, output_fired_time: 0, propagate_forward_time: 3.59418678283691, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.31013298034668
validation[          , genome  4478] predictions:    9559/  10000 (95.59%), best:    9638/10000 (96.38%), error:      1514.97205, best error:      1319.96558 on epoch:    16, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 54.6089820862s, input_fired_time: 0.6418960690, output_fired_time: 0.5154915452, propagate_forward_time: 19.5249843597, propagate_backward_time: 32.1169013977, weight_update_time: 0.0819092616, other_time: 1.8097114563
epoch time: 4.3433885574s, input_fired_time: 0.0759272352, output_fired_time: 0.0000000000, propagate_forward_time: 3.9405164719, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3269448280
validation[          , genome  4478] predictions:    9513/  10000 (95.13%), best:    9638/10000 (96.38%), error:      1616.65820, best error:      1319.96558 on epoch:    16, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 54.4369964600s, input_fired_time: 0.6401519179, output_fired_time: 0.5117930174, propagate_forward_time: 19.3952922821, propagate_backward_time: 32.0845146179, weight_update_time: 0.0815001726, other_time: 1.8052482605
epoch time: 3.6140642166s, input_fired_time: 0.0685747042, output_fired_time: 0.0000000000, propagate_forward_time: 3.2538282871, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2916612625
validation[          , genome  4478] predictions:    9625/  10000 (96.25%), best:    9625/10000 (96.25%), error:      1240.70264, best error:      1240.70264 on epoch:    23, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 49.0176200867s, input_fired_time: 0.6066852808, output_fired_time: 0.4674816132, propagate_forward_time: 17.2505512238, propagate_backward_time: 29.0052032471, weight_update_time: 0.0748629421, other_time: 1.6876964569
epoch time: 5.6988139153s, input_fired_time: 0.0922911242, output_fired_time: 0.0000000000, propagate_forward_time: 5.2151603699, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3913621902
validation[          , genome  4478] predictions:    9502/  10000 (95.02%), best:    9625/10000 (96.25%), error:      1652.57446, best error:      1240.70264 on epoch:    23, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 52.1716003418s, input_fired_time: 0.6275063753, output_fired_time: 0.4945626259, propagate_forward_time: 18.5390453339, propagate_backward_time: 30.7382965088, weight_update_time: 0.0788331032, other_time: 1.7721862793
epoch time: 4.2248578072s, input_fired_time: 0.0753399506, output_fired_time: 0.0000000000, propagate_forward_time: 3.8253955841, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3241224289
validation[          , genome  4478] predictions:    9615/  10000 (96.15%), best:    9625/10000 (96.25%), error:      1352.93701, best error:      1240.70264 on epoch:    23, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 56.3897628784s, input_fired_time: 0.6518157721, output_fired_time: 0.5274999738, propagate_forward_time: 20.2285575867, propagate_backward_time: 33.1382942200, weight_update_time: 0.0835502371, other_time: 1.8435935974
epoch time: 3.9648039341s, input_fired_time: 0.0727256089, output_fired_time: 0.0000000000, propagate_forward_time: 3.5856020451, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3064763546
validation[          , genome  4478] predictions:    9586/  10000 (95.86%), best:    9625/10000 (96.25%), error:      1411.72522, best error:      1240.70264 on epoch:    23, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 55.9114875793s, input_fired_time: 0.6508160830, output_fired_time: 0.5234383345, propagate_forward_time: 20.0330009460, propagate_backward_time: 32.8671798706, weight_update_time: 0.0833941251, other_time: 1.8370513916
epoch time: 4.1350650787s, input_fired_time: 0.0741561577, output_fired_time: 0.0000000000, propagate_forward_time: 3.7454054356, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3155033588
validation[          , genome  4478] predictions:    9520/  10000 (95.20%), best:    9625/10000 (96.25%), error:      1614.90479, best error:      1240.70264 on epoch:    23, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 52.7321052551s, input_fired_time: 0.6294879913, output_fired_time: 0.4991657436, propagate_forward_time: 18.7606258392, propagate_backward_time: 31.0778846741, weight_update_time: 0.0792033151, other_time: 1.7649421692
epoch time: 3.6178462505s, input_fired_time: 0.0686156899, output_fired_time: 0.0000000000, propagate_forward_time: 3.2579805851, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2912499905
validation[          , genome  4478] predictions:    9600/  10000 (96.00%), best:    9625/10000 (96.25%), error:      1371.71265, best error:      1240.70264 on epoch:    23, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 59.7111396790s, input_fired_time: 0.6750128269, output_fired_time: 0.5568837523, propagate_forward_time: 21.5952911377, propagate_backward_time: 34.9568977356, weight_update_time: 0.0880165696, other_time: 1.9270515442
epoch time: 3.9658913612s, input_fired_time: 0.0734506100, output_fired_time: 0.0000000000, propagate_forward_time: 3.5859200954, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3065207005
validation[          , genome  4478] predictions:    9546/  10000 (95.46%), best:    9625/10000 (96.25%), error:      1543.09888, best error:      1240.70264 on epoch:    23, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 54.0910720825s, input_fired_time: 0.6408720613, output_fired_time: 0.5087665319, propagate_forward_time: 19.3185443878, propagate_backward_time: 31.8256645203, weight_update_time: 0.0810869411, other_time: 1.7972221375
epoch time: 4.3120241165s, input_fired_time: 0.0767766610, output_fired_time: 0.0000000000, propagate_forward_time: 3.9041619301, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3310856819
validation[          , genome  4478] predictions:    9642/  10000 (96.42%), best:    9625/10000 (96.25%), error:      1244.77356, best error:      1240.70264 on epoch:    23, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 54.5313758850s, input_fired_time: 0.6470608115, output_fired_time: 0.5124461055, propagate_forward_time: 19.4904479980, propagate_backward_time: 32.0433082581, weight_update_time: 0.0820183232, other_time: 1.8381118774
epoch time: 3.6266205311s, input_fired_time: 0.0697953776, output_fired_time: 0.0000000000, propagate_forward_time: 3.2630600929, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2937650681
validation[          , genome  4478] predictions:    9647/  10000 (96.47%), best:    9647/10000 (96.47%), error:      1203.90161, best error:      1203.90161 on epoch:    31, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 50.8616065979s, input_fired_time: 0.6203610897, output_fired_time: 0.4811291993, propagate_forward_time: 17.9962692261, propagate_backward_time: 30.0192584991, weight_update_time: 0.0772018954, other_time: 1.7445888519
epoch time: 3.9661796093s, input_fired_time: 0.0736886933, output_fired_time: 0.0000000000, propagate_forward_time: 3.5866823196, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3058085442
validation[          , genome  4478] predictions:    9583/  10000 (95.83%), best:    9647/10000 (96.47%), error:      1394.23657, best error:      1203.90161 on epoch:    31, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 51.9972610474s, input_fired_time: 0.6282225251, output_fired_time: 0.4925868213, propagate_forward_time: 18.5049800873, propagate_backward_time: 30.6231918335, weight_update_time: 0.0786047801, other_time: 1.7482757568
epoch time: 4.6989293098s, input_fired_time: 0.0813924298, output_fired_time: 0.0000000000, propagate_forward_time: 4.2732810974, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3442559242
validation[          , genome  4478] predictions:    9626/  10000 (96.26%), best:    9647/10000 (96.47%), error:      1323.48938, best error:      1203.90161 on epoch:    31, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 58.3335800171s, input_fired_time: 0.6693179011, output_fired_time: 0.5447174311, propagate_forward_time: 21.0428791046, propagate_backward_time: 34.1796302795, weight_update_time: 0.0867319629, other_time: 1.8970375061
epoch time: 3.6153969765s, input_fired_time: 0.0689541399, output_fired_time: 0.0000000000, propagate_forward_time: 3.2558660507, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2905766964
validation[          , genome  4478] predictions:    9670/  10000 (96.70%), best:    9670/10000 (96.70%), error:      1182.91455, best error:      1182.91455 on epoch:    34, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 56.4483909607s, input_fired_time: 0.6563066244, output_fired_time: 0.5298946500, propagate_forward_time: 20.2593441010, propagate_backward_time: 33.1565361023, weight_update_time: 0.0841268450, other_time: 1.8463096619
epoch time: 5.5624241829s, input_fired_time: 0.0905748382, output_fired_time: 0.0000000000, propagate_forward_time: 5.0868501663, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3849992752
validation[          , genome  4478] predictions:    9612/  10000 (96.12%), best:    9670/10000 (96.70%), error:      1322.85168, best error:      1182.91455 on epoch:    34, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 57.0865936279s, input_fired_time: 0.6623234153, output_fired_time: 0.5341663361, propagate_forward_time: 20.5124359131, propagate_backward_time: 33.5118408203, weight_update_time: 0.0849066228, other_time: 1.8658294678
epoch time: 3.6047317982s, input_fired_time: 0.0685491264, output_fired_time: 0.0000000000, propagate_forward_time: 3.2470495701, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2891330719
validation[          , genome  4478] predictions:    9649/  10000 (96.49%), best:    9670/10000 (96.70%), error:      1198.58008, best error:      1182.91455 on epoch:    34, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 53.1093063354s, input_fired_time: 0.6368284822, output_fired_time: 0.5023842454, propagate_forward_time: 18.8784770966, propagate_backward_time: 31.3161602020, weight_update_time: 0.0799103752, other_time: 1.7754535675
epoch time: 5.1716084480s, input_fired_time: 0.0865294635, output_fired_time: 0.0000000000, propagate_forward_time: 4.7181591988, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3669199944
validation[          , genome  4478] predictions:    9650/  10000 (96.50%), best:    9670/10000 (96.70%), error:      1224.66760, best error:      1182.91455 on epoch:    34, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 56.4987564087s, input_fired_time: 0.6579858661, output_fired_time: 0.5304660201, propagate_forward_time: 20.2812652588, propagate_backward_time: 33.1752014160, weight_update_time: 0.0844729319, other_time: 1.8538398743
epoch time: 3.9376535416s, input_fired_time: 0.0735791251, output_fired_time: 0.0000000000, propagate_forward_time: 3.5577352047, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3063392639
validation[          , genome  4478] predictions:    9627/  10000 (96.27%), best:    9670/10000 (96.70%), error:      1266.54736, best error:      1182.91455 on epoch:    34, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 59.4734382629s, input_fired_time: 0.6755377650, output_fired_time: 0.5539048314, propagate_forward_time: 21.4843807220, propagate_backward_time: 34.8429145813, weight_update_time: 0.0874932632, other_time: 1.9166984558
epoch time: 3.6125741005s, input_fired_time: 0.0702648833, output_fired_time: 0.0000000000, propagate_forward_time: 3.2528443336, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2894649506
validation[          , genome  4478] predictions:    9645/  10000 (96.45%), best:    9645/10000 (96.45%), error:      1179.34045, best error:      1179.34045 on epoch:    39, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 56.7827529907s, input_fired_time: 0.6608652472, output_fired_time: 0.5300995708, propagate_forward_time: 20.3936405182, propagate_backward_time: 33.3402137756, weight_update_time: 0.0847888663, other_time: 1.8579368591
epoch time: 4.2630019188s, input_fired_time: 0.0771473199, output_fired_time: 0.0000000000, propagate_forward_time: 3.8625919819, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3232624531
validation[          , genome  4478] predictions:    9616/  10000 (96.16%), best:    9645/10000 (96.45%), error:      1322.64856, best error:      1179.34045 on epoch:    39, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 55.5497741699s, input_fired_time: 0.6529122591, output_fired_time: 0.5230578184, propagate_forward_time: 19.9245758057, propagate_backward_time: 32.6156768799, weight_update_time: 0.0831862241, other_time: 1.8335533142
epoch time: 4.0211343765s, input_fired_time: 0.0741013810, output_fired_time: 0.0000000000, propagate_forward_time: 3.6370558739, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3099770546
validation[          , genome  4478] predictions:    9649/  10000 (96.49%), best:    9645/10000 (96.45%), error:      1187.42065, best error:      1179.34045 on epoch:    39, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 59.9912452698s, input_fired_time: 0.6811758280, output_fired_time: 0.5609803796, propagate_forward_time: 21.7469806671, propagate_backward_time: 35.0729255676, weight_update_time: 0.0883519053, other_time: 1.9291801453
epoch time: 4.3522429466s, input_fired_time: 0.0778621212, output_fired_time: 0.0000000000, propagate_forward_time: 3.9485063553, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3258743286
validation[          , genome  4478] predictions:    9678/  10000 (96.78%), best:    9678/10000 (96.78%), error:      1139.57153, best error:      1139.57153 on epoch:    42, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 49.0990295410s, input_fired_time: 0.6114926338, output_fired_time: 0.4673945010, propagate_forward_time: 17.2840232849, propagate_backward_time: 29.0469760895, weight_update_time: 0.0750862509, other_time: 1.6891422272
epoch time: 5.2615485191s, input_fired_time: 0.0878698900, output_fired_time: 0.0000000000, propagate_forward_time: 4.8041605949, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3695178032
validation[          , genome  4478] predictions:    9583/  10000 (95.83%), best:    9678/10000 (96.78%), error:      1434.40442, best error:      1139.57153 on epoch:    42, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 53.2275810242s, input_fired_time: 0.6385875344, output_fired_time: 0.5028982162, propagate_forward_time: 18.9393005371, propagate_backward_time: 31.3696441650, weight_update_time: 0.0801736265, other_time: 1.7771492004
epoch time: 3.9724841118s, input_fired_time: 0.0731459931, output_fired_time: 0.0000000000, propagate_forward_time: 3.5917251110, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3076128960
validation[          , genome  4478] predictions:    9206/  10000 (92.06%), best:    9678/10000 (96.78%), error:      2547.74780, best error:      1139.57153 on epoch:    42, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 56.4117240906s, input_fired_time: 0.6602903605, output_fired_time: 0.5283260345, propagate_forward_time: 20.2586441040, propagate_backward_time: 33.1158828735, weight_update_time: 0.0839942172, other_time: 1.8485794067
epoch time: 4.5980505943s, input_fired_time: 0.0812204182, output_fired_time: 0.0000000000, propagate_forward_time: 4.1769208908, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3399090767
validation[          , genome  4478] predictions:    9639/  10000 (96.39%), best:    9678/10000 (96.78%), error:      1250.14954, best error:      1139.57153 on epoch:    42, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 59.4392967224s, input_fired_time: 0.6792451143, output_fired_time: 0.5535173416, propagate_forward_time: 21.4504623413, propagate_backward_time: 34.8405036926, weight_update_time: 0.0879960582, other_time: 1.9155693054
epoch time: 4.7853221893s, input_fired_time: 0.0837983713, output_fired_time: 0.0000000000, propagate_forward_time: 4.3526997566, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3488240242
validation[          , genome  4478] predictions:    9610/  10000 (96.10%), best:    9678/10000 (96.78%), error:      1338.59363, best error:      1139.57153 on epoch:    42, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 57.6358642578s, input_fired_time: 0.6689801812, output_fired_time: 0.5379062891, propagate_forward_time: 20.7291183472, propagate_backward_time: 33.8213005066, weight_update_time: 0.0856653526, other_time: 1.8785591125
epoch time: 4.0409841537s, input_fired_time: 0.0751981288, output_fired_time: 0.0000000000, propagate_forward_time: 3.6545906067, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3111953735
validation[          , genome  4478] predictions:    9648/  10000 (96.48%), best:    9678/10000 (96.78%), error:      1178.69922, best error:      1139.57153 on epoch:    42, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4478.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4478_1_r659177953_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.948224
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00106572
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.26288e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 48
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 42
read number_validation_images: 10000
read best_validation_predictions: 9678
read best_validation_error: 1139.57
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 4478
read normal distribution: '0 -1.50109112262726 0.472358018159866'
generator_str: '538445963'
read generator: 538445963
read generated_by_map:
1 split_edge 1
reading 18 nodes.
reading 31 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 80.5004959106445s, input_fired_time: 0.690936863422394, output_fired_time: 0.816996812820435, propagate_forward_time: 28.3320140838623, propagate_backward_time: 48.1262588500977, weight_update_time: 0.0906194448471069, other_time: 2.53429412841797
epoch time: 6.47850275039673s, input_fired_time: 0.0848811194300652, output_fired_time: 0, propagate_forward_time: 5.77286577224731, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.620755672454834
validation[          , genome  4478] predictions:    9620/  10000 (96.20%), best:    9678/10000 (96.78%), error:      1261.41821, best error:      1139.57153 on epoch:    42, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 85.7859878540s, input_fired_time: 0.9599591494, output_fired_time: 0.8443769217, propagate_forward_time: 33.2287635803, propagate_backward_time: 47.6433982849, weight_update_time: 0.0944764838, other_time: 3.1094894409
epoch time: 6.4157910347s, input_fired_time: 0.0845805556, output_fired_time: 0.0000000000, propagate_forward_time: 5.9634127617, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3677978516
validation[          , genome  4478] predictions:    9572/  10000 (95.72%), best:    9678/10000 (96.78%), error:      1439.75317, best error:      1139.57153 on epoch:    42, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 89.3013153076s, input_fired_time: 0.7290731668, output_fired_time: 0.6202092171, propagate_forward_time: 32.8738365173, propagate_backward_time: 52.4027137756, weight_update_time: 0.0977942348, other_time: 2.6754837036
epoch time: 6.4618682861s, input_fired_time: 0.0829815865, output_fired_time: 0.0000000000, propagate_forward_time: 6.0209822655, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3579044342
validation[          , genome  4478] predictions:    9651/  10000 (96.51%), best:    9678/10000 (96.78%), error:      1167.68384, best error:      1139.57153 on epoch:    42, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 91.4653244019s, input_fired_time: 0.9912120104, output_fired_time: 0.8846632838, propagate_forward_time: 33.3077239990, propagate_backward_time: 54.0688171387, weight_update_time: 0.0996999219, other_time: 2.2129058838
epoch time: 5.9486327171s, input_fired_time: 0.0796453059, output_fired_time: 0.0000000000, propagate_forward_time: 5.0264649391, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8425226212
validation[          , genome  4478] predictions:    9619/  10000 (96.19%), best:    9678/10000 (96.78%), error:      1304.62402, best error:      1139.57153 on epoch:    42, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 79.6971511841s, input_fired_time: 0.9325586557, output_fired_time: 0.5568048358, propagate_forward_time: 27.6603488922, propagate_backward_time: 47.5426559448, weight_update_time: 0.3391593099, other_time: 3.0047836304
epoch time: 5.9482908249s, input_fired_time: 0.0799299628, output_fired_time: 0.0000000000, propagate_forward_time: 5.5271162987, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3412446976
validation[          , genome  4478] predictions:    9661/  10000 (96.61%), best:    9678/10000 (96.78%), error:      1156.49536, best error:      1139.57153 on epoch:    42, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 82.5036926270s, input_fired_time: 1.1976578236, output_fired_time: 0.8240267634, propagate_forward_time: 32.4590606689, propagate_backward_time: 45.4714660645, weight_update_time: 0.0918176025, other_time: 2.5514831543
epoch time: 5.6424260139s, input_fired_time: 0.0758717582, output_fired_time: 0.0000000000, propagate_forward_time: 5.2389907837, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3275632858
validation[          , genome  4478] predictions:    9612/  10000 (96.12%), best:    9678/10000 (96.78%), error:      1266.59399, best error:      1139.57153 on epoch:    42, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 77.1483612061s, input_fired_time: 0.6744726300, output_fired_time: 0.5418491960, propagate_forward_time: 28.4282093048, propagate_backward_time: 45.2922897339, weight_update_time: 0.0868035182, other_time: 2.2115478516
epoch time: 4.8852882385s, input_fired_time: 0.0699882880, output_fired_time: 0.0000000000, propagate_forward_time: 4.5150847435, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3002152443
validation[          , genome  4478] predictions:    9660/  10000 (96.60%), best:    9678/10000 (96.78%), error:      1150.68530, best error:      1139.57153 on epoch:    42, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 79.5995178223s, input_fired_time: 0.6835858226, output_fired_time: 0.8057096601, propagate_forward_time: 27.3761997223, propagate_backward_time: 47.7346611023, weight_update_time: 0.0890952423, other_time: 2.9993629456
epoch time: 7.1729083061s, input_fired_time: 0.3407957256, output_fired_time: 0.0000000000, propagate_forward_time: 6.4422769547, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3898358345
validation[          , genome  4478] predictions:    9628/  10000 (96.28%), best:    9678/10000 (96.78%), error:      1254.91150, best error:      1139.57153 on epoch:    42, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 85.1231307983s, input_fired_time: 0.9586606026, output_fired_time: 0.8418037295, propagate_forward_time: 30.2605533600, propagate_backward_time: 49.9732894897, weight_update_time: 0.3435122073, other_time: 3.0888214111
epoch time: 5.5523524284s, input_fired_time: 0.0759465024, output_fired_time: 0.0000000000, propagate_forward_time: 5.1550550461, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3213510513
validation[          , genome  4478] predictions:    9595/  10000 (95.95%), best:    9678/10000 (96.78%), error:      1351.84424, best error:      1139.57153 on epoch:    42, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 74.0808334351s, input_fired_time: 0.6579160094, output_fired_time: 0.5214895010, propagate_forward_time: 24.8602695465, propagate_backward_time: 45.3987503052, weight_update_time: 0.0837242603, other_time: 2.6424102783
epoch time: 8.0593862534s, input_fired_time: 0.0975195915, output_fired_time: 0.0000000000, propagate_forward_time: 7.5363068581, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4255599976
validation[          , genome  4478] predictions:    9623/  10000 (96.23%), best:    9678/10000 (96.78%), error:      1251.03613, best error:      1139.57153 on epoch:    42, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 76.0534820557s, input_fired_time: 1.1670325994, output_fired_time: 1.0320674181, propagate_forward_time: 27.2135009766, propagate_backward_time: 44.4630851746, weight_update_time: 0.0855029523, other_time: 2.1777992249
epoch time: 7.3670558929s, input_fired_time: 0.0936467201, output_fired_time: 0.0000000000, propagate_forward_time: 6.8720626831, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4013466835
validation[          , genome  4478] predictions:    9625/  10000 (96.25%), best:    9678/10000 (96.78%), error:      1239.09375, best error:      1139.57153 on epoch:    42, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 75.9862289429s, input_fired_time: 0.9168251157, output_fired_time: 0.7824184299, propagate_forward_time: 27.2363758087, propagate_backward_time: 44.3732223511, weight_update_time: 0.0856110379, other_time: 2.6773910522
epoch time: 6.7210140228s, input_fired_time: 0.0851176530, output_fired_time: 0.0000000000, propagate_forward_time: 6.2674021721, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3684940338
validation[          , genome  4478] predictions:    9645/  10000 (96.45%), best:    9678/10000 (96.78%), error:      1266.05200, best error:      1139.57153 on epoch:    42, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 71.0724334717s, input_fired_time: 1.3923814297, output_fired_time: 0.7513492703, propagate_forward_time: 27.9519138336, propagate_backward_time: 38.8859024048, weight_update_time: 0.0813378245, other_time: 2.0908889771
epoch time: 5.4779434204s, input_fired_time: 0.0783376321, output_fired_time: 0.0000000000, propagate_forward_time: 4.8204827309, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5791230202
validation[          , genome  4478] predictions:    9668/  10000 (96.68%), best:    9678/10000 (96.78%), error:      1198.43250, best error:      1139.57153 on epoch:    42, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 81.9171981812s, input_fired_time: 0.6962884068, output_fired_time: 0.8205645680, propagate_forward_time: 28.5853195190, propagate_backward_time: 48.5264205933, weight_update_time: 0.0909855440, other_time: 3.2886047363
epoch time: 3.7207102776s, input_fired_time: 0.0726154000, output_fired_time: 0.0000000000, propagate_forward_time: 3.3488087654, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2992861271
validation[          , genome  4478] predictions:    9651/  10000 (96.51%), best:    9678/10000 (96.78%), error:      1164.27600, best error:      1139.57153 on epoch:    42, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 48.5319747925s, input_fired_time: 0.6152257919, output_fired_time: 0.4625274241, propagate_forward_time: 17.0422782898, propagate_backward_time: 28.6953430176, weight_update_time: 0.0749248490, other_time: 1.7165985107
epoch time: 4.4966063499s, input_fired_time: 0.0807712004, output_fired_time: 0.0000000000, propagate_forward_time: 4.0740227699, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3418126106
validation[          , genome  4478] predictions:    9674/  10000 (96.74%), best:    9678/10000 (96.78%), error:      1163.29138, best error:      1139.57153 on epoch:    42, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 50.2258377075s, input_fired_time: 0.6271921992, output_fired_time: 0.4767886400, propagate_forward_time: 17.7182826996, propagate_backward_time: 29.6428470612, weight_update_time: 0.0770195350, other_time: 1.7607269287
epoch time: 3.6154284477s, input_fired_time: 0.0712677687, output_fired_time: 0.0000000000, propagate_forward_time: 3.2486186028, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2955420017
validation[          , genome  4478] predictions:    9607/  10000 (96.07%), best:    9678/10000 (96.78%), error:      1374.99780, best error:      1139.57153 on epoch:    42, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 57.3824996948s, input_fired_time: 0.6738029122, output_fired_time: 0.5369486809, propagate_forward_time: 20.6324386597, propagate_backward_time: 33.6140480042, weight_update_time: 0.0857677385, other_time: 1.9252624512
epoch time: 3.8652532101s, input_fired_time: 0.0745297819, output_fired_time: 0.0000000000, propagate_forward_time: 3.4833869934, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3073363304
validation[          , genome  4478] predictions:    9641/  10000 (96.41%), best:    9678/10000 (96.78%), error:      1156.63977, best error:      1139.57153 on epoch:    42, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 50.8812103271s, input_fired_time: 0.6312699914, output_fired_time: 0.4838336706, propagate_forward_time: 17.9963340759, propagate_backward_time: 29.9999809265, weight_update_time: 0.0778729990, other_time: 1.7697906494
epoch time: 4.7030792236s, input_fired_time: 0.0836425573, output_fired_time: 0.0000000000, propagate_forward_time: 4.2672238350, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3522129059
validation[          , genome  4478] predictions:    9630/  10000 (96.30%), best:    9678/10000 (96.78%), error:      1286.75012, best error:      1139.57153 on epoch:    42, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 54.9429931641s, input_fired_time: 0.6587198973, output_fired_time: 0.5173388720, propagate_forward_time: 19.6395263672, propagate_backward_time: 32.2576446533, weight_update_time: 0.0828943178, other_time: 1.8697662354
epoch time: 3.9792394638s, input_fired_time: 0.0751672462, output_fired_time: 0.0000000000, propagate_forward_time: 3.5881292820, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3159430027
validation[          , genome  4478] predictions:    9662/  10000 (96.62%), best:    9678/10000 (96.78%), error:      1141.50867, best error:      1139.57153 on epoch:    42, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 55.1210250854s, input_fired_time: 0.6579189897, output_fired_time: 0.5153564811, propagate_forward_time: 19.6873149872, propagate_backward_time: 32.3822059631, weight_update_time: 0.0833146721, other_time: 1.8782234192
epoch time: 3.8492212296s, input_fired_time: 0.0743951201, output_fired_time: 0.0000000000, propagate_forward_time: 3.4659221172, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3089039326
validation[          , genome  4478] predictions:    9667/  10000 (96.67%), best:    9667/10000 (96.67%), error:      1110.40906, best error:      1110.40906 on epoch:    67, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 56.1300430298s, input_fired_time: 0.6670663953, output_fired_time: 0.5273362398, propagate_forward_time: 20.1327037811, propagate_backward_time: 32.9001388550, weight_update_time: 0.0847017616, other_time: 1.9028015137
epoch time: 4.0487041473s, input_fired_time: 0.0761124194, output_fired_time: 0.0000000000, propagate_forward_time: 3.6541512012, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3184404373
validation[          , genome  4478] predictions:    9598/  10000 (95.98%), best:    9667/10000 (96.67%), error:      1382.72021, best error:      1110.40906 on epoch:    67, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 59.7724037170s, input_fired_time: 0.6897063851, output_fired_time: 0.5549380779, propagate_forward_time: 21.5852622986, propagate_backward_time: 34.9584617615, weight_update_time: 0.0887890607, other_time: 1.9840354919
epoch time: 3.9916417599s, input_fired_time: 0.0756838843, output_fired_time: 0.0000000000, propagate_forward_time: 3.5993785858, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3165793419
validation[          , genome  4478] predictions:    9643/  10000 (96.43%), best:    9667/10000 (96.67%), error:      1211.79041, best error:      1110.40906 on epoch:    67, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 57.4537734985s, input_fired_time: 0.6729758382, output_fired_time: 0.5387200713, propagate_forward_time: 20.6396026611, propagate_backward_time: 33.6661911011, weight_update_time: 0.0862828195, other_time: 1.9362831116
epoch time: 4.2499303818s, input_fired_time: 0.0779960901, output_fired_time: 0.0000000000, propagate_forward_time: 3.8415076733, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3304264545
validation[          , genome  4478] predictions:    9665/  10000 (96.65%), best:    9667/10000 (96.67%), error:      1119.29529, best error:      1110.40906 on epoch:    67, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 52.9428367615s, input_fired_time: 0.6473700404, output_fired_time: 0.4987728894, propagate_forward_time: 18.7955169678, propagate_backward_time: 31.1711559296, weight_update_time: 0.0805462673, other_time: 1.8300228119
epoch time: 3.6551663876s, input_fired_time: 0.0726875588, output_fired_time: 0.0000000000, propagate_forward_time: 3.2833518982, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2991268635
validation[          , genome  4478] predictions:    9619/  10000 (96.19%), best:    9667/10000 (96.67%), error:      1305.93921, best error:      1110.40906 on epoch:    67, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 52.5187301636s, input_fired_time: 0.6456628442, output_fired_time: 0.4963963628, propagate_forward_time: 18.6502895355, propagate_backward_time: 30.9091796875, weight_update_time: 0.0800546557, other_time: 1.8171997070
epoch time: 5.6482067108s, input_fired_time: 0.0947787836, output_fired_time: 0.0000000000, propagate_forward_time: 5.1514959335, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4019317627
validation[          , genome  4478] predictions:    9669/  10000 (96.69%), best:    9667/10000 (96.67%), error:      1116.80750, best error:      1110.40906 on epoch:    67, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 58.3240928650s, input_fired_time: 0.6829549074, output_fired_time: 0.5461016893, propagate_forward_time: 20.9815521240, propagate_backward_time: 34.1609497070, weight_update_time: 0.0871173516, other_time: 1.9525337219
epoch time: 3.8044650555s, input_fired_time: 0.0738242492, output_fired_time: 0.0000000000, propagate_forward_time: 3.4233613014, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3072795868
validation[          , genome  4478] predictions:    9619/  10000 (96.19%), best:    9667/10000 (96.67%), error:      1235.16956, best error:      1110.40906 on epoch:    67, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 62.1131744385s, input_fired_time: 0.7066271305, output_fired_time: 0.5742409229, propagate_forward_time: 22.4946384430, propagate_backward_time: 36.2914161682, weight_update_time: 0.0915744007, other_time: 2.0462532043
epoch time: 5.2458400726s, input_fired_time: 0.0899433270, output_fired_time: 0.0000000000, propagate_forward_time: 4.7739624977, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3819341660
validation[          , genome  4478] predictions:    9629/  10000 (96.29%), best:    9667/10000 (96.67%), error:      1213.17908, best error:      1110.40906 on epoch:    67, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 58.8263969421s, input_fired_time: 0.6869121790, output_fired_time: 0.5491122007, propagate_forward_time: 21.2056503296, propagate_backward_time: 34.4207115173, weight_update_time: 0.0877937078, other_time: 1.9640121460
epoch time: 4.5037159920s, input_fired_time: 0.0820655525, output_fired_time: 0.0000000000, propagate_forward_time: 4.0789866447, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3426637650
validation[          , genome  4478] predictions:    9605/  10000 (96.05%), best:    9667/10000 (96.67%), error:      1370.74158, best error:      1110.40906 on epoch:    67, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 60.8632354736s, input_fired_time: 0.7002594471, output_fired_time: 0.5666028261, propagate_forward_time: 22.0595378876, propagate_backward_time: 35.5243339539, weight_update_time: 0.0903952345, other_time: 2.0125007629
epoch time: 4.3331127167s, input_fired_time: 0.0803508759, output_fired_time: 0.0000000000, propagate_forward_time: 3.9194333553, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3333284855
validation[          , genome  4478] predictions:    9648/  10000 (96.48%), best:    9667/10000 (96.67%), error:      1166.90820, best error:      1110.40906 on epoch:    67, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 59.8834075928s, input_fired_time: 0.6961693764, output_fired_time: 0.5577691793, propagate_forward_time: 21.6846714020, propagate_backward_time: 34.9501113892, weight_update_time: 0.0890143514, other_time: 1.9946823120
epoch time: 4.7631387711s, input_fired_time: 0.0854110494, output_fired_time: 0.0000000000, propagate_forward_time: 4.3217425346, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3559851646
validation[          , genome  4478] predictions:    9626/  10000 (96.26%), best:    9667/10000 (96.67%), error:      1262.32983, best error:      1110.40906 on epoch:    67, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 60.8660850525s, input_fired_time: 0.7000550628, output_fired_time: 0.5665418506, propagate_forward_time: 22.0015373230, propagate_backward_time: 35.5870170593, weight_update_time: 0.0900296494, other_time: 2.0109329224
epoch time: 5.0471572876s, input_fired_time: 0.0881748796, output_fired_time: 0.0000000000, propagate_forward_time: 4.5871071815, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3718752861
validation[          , genome  4478] predictions:    9671/  10000 (96.71%), best:    9667/10000 (96.67%), error:      1168.00671, best error:      1110.40906 on epoch:    67, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 60.9438133240s, input_fired_time: 0.7006549835, output_fired_time: 0.5660160780, propagate_forward_time: 22.0249938965, propagate_backward_time: 35.6418724060, weight_update_time: 0.0900921598, other_time: 2.0102729797
epoch time: 5.0404429436s, input_fired_time: 0.0884636492, output_fired_time: 0.0000000000, propagate_forward_time: 4.5826487541, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3693304062
validation[          , genome  4478] predictions:    9659/  10000 (96.59%), best:    9667/10000 (96.67%), error:      1193.46973, best error:      1110.40906 on epoch:    67, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 71.7800445557s, input_fired_time: 1.2303649187, output_fired_time: 0.6030772924, propagate_forward_time: 25.4281501770, propagate_backward_time: 41.9005050659, weight_update_time: 0.0958568305, other_time: 2.6179466248
epoch time: 8.6843290329s, input_fired_time: 0.1046308726, output_fired_time: 0.0000000000, propagate_forward_time: 8.1331863403, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4465122223
validation[          , genome  4478] predictions:    9657/  10000 (96.57%), best:    9667/10000 (96.67%), error:      1162.64478, best error:      1110.40906 on epoch:    67, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 97.1137847900s, input_fired_time: 1.0274757147, output_fired_time: 0.6678308845, propagate_forward_time: 34.1997528076, propagate_backward_time: 57.9064979553, weight_update_time: 0.1052045450, other_time: 3.3122291565
epoch time: 6.9032378197s, input_fired_time: 0.0905403569, output_fired_time: 0.0000000000, propagate_forward_time: 6.4352912903, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3774061203
validation[          , genome  4478] predictions:    9652/  10000 (96.52%), best:    9667/10000 (96.67%), error:      1152.32300, best error:      1110.40906 on epoch:    67, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 88.0312347412s, input_fired_time: 0.9852932096, output_fired_time: 0.8608257174, propagate_forward_time: 30.7133388519, propagate_backward_time: 53.0717163086, weight_update_time: 0.0967789814, other_time: 2.4000625610
epoch time: 6.5384955406s, input_fired_time: 0.3353822529, output_fired_time: 0.0000000000, propagate_forward_time: 5.8421173096, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3609957695
validation[          , genome  4478] predictions:    9607/  10000 (96.07%), best:    9667/10000 (96.67%), error:      1298.88147, best error:      1110.40906 on epoch:    67, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 87.8938598633s, input_fired_time: 0.7329186201, output_fired_time: 0.8588427305, propagate_forward_time: 31.1844100952, propagate_backward_time: 52.9639091492, weight_update_time: 0.0971184075, other_time: 2.1537818909
epoch time: 6.0143265724s, input_fired_time: 0.0824864283, output_fired_time: 0.0000000000, propagate_forward_time: 5.5866055489, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3452343941
validation[          , genome  4478] predictions:    9672/  10000 (96.72%), best:    9667/10000 (96.67%), error:      1138.32483, best error:      1110.40906 on epoch:    67, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 91.2216567993s, input_fired_time: 0.7503995895, output_fired_time: 0.6279342771, propagate_forward_time: 33.1032333374, propagate_backward_time: 54.0430297852, weight_update_time: 0.0995294154, other_time: 2.6970596313
epoch time: 8.1276159286s, input_fired_time: 0.1009966657, output_fired_time: 0.0000000000, propagate_forward_time: 7.3467164040, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6799025536
validation[          , genome  4478] predictions:    9645/  10000 (96.45%), best:    9667/10000 (96.67%), error:      1214.66858, best error:      1110.40906 on epoch:    67, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 99.8154754639s, input_fired_time: 1.2898758650, output_fired_time: 0.9317657351, propagate_forward_time: 36.9128532410, propagate_backward_time: 57.8360633850, weight_update_time: 0.1068860516, other_time: 2.8449172974
epoch time: 6.5360441208s, input_fired_time: 0.0889444426, output_fired_time: 0.0000000000, propagate_forward_time: 6.0742211342, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3728785515
validation[          , genome  4478] predictions:    9678/  10000 (96.78%), best:    9678/10000 (96.78%), error:      1091.31079, best error:      1091.31079 on epoch:    85, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 95.1886596680s, input_fired_time: 0.7689167857, output_fired_time: 0.9009653926, propagate_forward_time: 33.5777091980, propagate_backward_time: 56.9177932739, weight_update_time: 0.1031856984, other_time: 3.0232810974
epoch time: 7.8654961586s, input_fired_time: 0.3479783535, output_fired_time: 0.0000000000, propagate_forward_time: 6.8514080048, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6661100388
validation[          , genome  4478] predictions:    9622/  10000 (96.22%), best:    9678/10000 (96.78%), error:      1235.71606, best error:      1091.31079 on epoch:    85, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 96.0963211060s, input_fired_time: 1.2754021883, output_fired_time: 0.9089832902, propagate_forward_time: 37.3539123535, propagate_backward_time: 54.0261306763, weight_update_time: 0.1037412584, other_time: 2.5318908691
epoch time: 6.4119849205s, input_fired_time: 0.0873090699, output_fired_time: 0.0000000000, propagate_forward_time: 5.9581246376, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3665513992
validation[          , genome  4478] predictions:    9646/  10000 (96.46%), best:    9678/10000 (96.78%), error:      1190.33569, best error:      1091.31079 on epoch:    85, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 87.1923370361s, input_fired_time: 0.9826635122, output_fired_time: 0.6009888053, propagate_forward_time: 32.4244117737, propagate_backward_time: 50.5534744263, weight_update_time: 0.0957795307, other_time: 2.6307945251
epoch time: 6.1061992645s, input_fired_time: 0.0846855119, output_fired_time: 0.0000000000, propagate_forward_time: 5.4196891785, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6018247604
validation[          , genome  4478] predictions:    9512/  10000 (95.12%), best:    9678/10000 (96.78%), error:      1590.09900, best error:      1091.31079 on epoch:    85, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 88.1994323730s, input_fired_time: 0.7374133468, output_fired_time: 0.8579819798, propagate_forward_time: 31.1622753143, propagate_backward_time: 52.5423126221, weight_update_time: 0.0972351357, other_time: 2.8994522095
epoch time: 8.3896379471s, input_fired_time: 0.1012193933, output_fired_time: 0.0000000000, propagate_forward_time: 7.3568644524, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9315543175
validation[          , genome  4478] predictions:    9651/  10000 (96.51%), best:    9678/10000 (96.78%), error:      1164.13293, best error:      1091.31079 on epoch:    85, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 94.3102569580s, input_fired_time: 1.0170152187, output_fired_time: 0.6474050283, propagate_forward_time: 36.8196067810, propagate_backward_time: 52.8248405457, weight_update_time: 0.1017950624, other_time: 3.0013885498
epoch time: 8.9389190674s, input_fired_time: 0.1081268564, output_fired_time: 0.0000000000, propagate_forward_time: 8.1234207153, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7073717117
validation[          , genome  4478] predictions:    9645/  10000 (96.45%), best:    9678/10000 (96.78%), error:      1192.01904, best error:      1091.31079 on epoch:    85, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 99.8714904785s, input_fired_time: 0.7936895490, output_fired_time: 0.6815698743, propagate_forward_time: 35.7190475464, propagate_backward_time: 58.8331489563, weight_update_time: 0.1067466885, other_time: 3.8440361023
epoch time: 7.7965564728s, input_fired_time: 0.0984319523, output_fired_time: 0.0000000000, propagate_forward_time: 7.2849559784, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4131684303
validation[          , genome  4478] predictions:    9666/  10000 (96.66%), best:    9678/10000 (96.78%), error:      1180.56104, best error:      1091.31079 on epoch:    85, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 98.4500885010s, input_fired_time: 1.2888561487, output_fired_time: 0.9227768779, propagate_forward_time: 37.0879631042, propagate_backward_time: 56.3292808533, weight_update_time: 0.1055669859, other_time: 2.8212127686
epoch time: 7.4399733543s, input_fired_time: 0.0941618234, output_fired_time: 0.0000000000, propagate_forward_time: 6.9509606361, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3948507309
validation[          , genome  4478] predictions:    9644/  10000 (96.44%), best:    9678/10000 (96.78%), error:      1173.81689, best error:      1091.31079 on epoch:    85, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 71.1830673218s, input_fired_time: 0.7330995798, output_fired_time: 0.6016725302, propagate_forward_time: 25.2902488708, propagate_backward_time: 41.9417076111, weight_update_time: 0.0953734741, other_time: 2.6163406372
epoch time: 3.7160615921s, input_fired_time: 0.0742614865, output_fired_time: 0.0000000000, propagate_forward_time: 3.3381803036, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3036198616
validation[          , genome  4478] predictions:    9640/  10000 (96.40%), best:    9678/10000 (96.78%), error:      1175.66125, best error:      1091.31079 on epoch:    85, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 59.8615531921s, input_fired_time: 0.6992738247, output_fired_time: 0.5583931208, propagate_forward_time: 21.6033325195, propagate_backward_time: 35.0067481995, weight_update_time: 0.0891612917, other_time: 1.9938087463
epoch time: 5.0365271568s, input_fired_time: 0.0893657953, output_fired_time: 0.0000000000, propagate_forward_time: 4.5762162209, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3709449768
validation[          , genome  4478] predictions:    9642/  10000 (96.42%), best:    9678/10000 (96.78%), error:      1173.03247, best error:      1091.31079 on epoch:    85, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 61.6651420593s, input_fired_time: 0.7110850215, output_fired_time: 0.5721907020, propagate_forward_time: 22.3486766815, propagate_backward_time: 35.9956665039, weight_update_time: 0.0913291350, other_time: 2.0375213623
epoch time: 4.9186162949s, input_fired_time: 0.0884861350, output_fired_time: 0.0000000000, propagate_forward_time: 4.4663128853, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3638172150
validation[          , genome  4478] predictions:    9666/  10000 (96.66%), best:    9678/10000 (96.78%), error:      1134.29480, best error:      1091.31079 on epoch:    85, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 63.1279144287s, input_fired_time: 0.7228805423, output_fired_time: 0.5836058259, propagate_forward_time: 22.9790325165, propagate_backward_time: 36.7651901245, weight_update_time: 0.0931488201, other_time: 2.0772018433
epoch time: 4.6413412094s, input_fired_time: 0.0854642838, output_fired_time: 0.0000000000, propagate_forward_time: 4.2053365707, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3505401611
validation[          , genome  4478] predictions:    9656/  10000 (96.56%), best:    9678/10000 (96.78%), error:      1152.14917, best error:      1091.31079 on epoch:    85, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 62.3683853149s, input_fired_time: 0.7183762193, output_fired_time: 0.5802897811, propagate_forward_time: 22.7067470551, propagate_backward_time: 36.3071250916, weight_update_time: 0.0925170183, other_time: 2.0558509827
epoch time: 5.1044788361s, input_fired_time: 0.0905454978, output_fired_time: 0.0000000000, propagate_forward_time: 4.6385583878, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3753747940
validation[          , genome  4478] predictions:    9625/  10000 (96.25%), best:    9678/10000 (96.78%), error:      1243.49353, best error:      1091.31079 on epoch:    85, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 62.1352272034s, input_fired_time: 0.7156130672, output_fired_time: 0.5764993429, propagate_forward_time: 22.5430660248, propagate_backward_time: 36.2528953552, weight_update_time: 0.0920372382, other_time: 2.0471534729
epoch time: 4.7107505798s, input_fired_time: 0.0866142660, output_fired_time: 0.0000000000, propagate_forward_time: 4.2698397636, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3542966843
validation[          , genome  4478] predictions:    9647/  10000 (96.47%), best:    9678/10000 (96.78%), error:      1172.39758, best error:      1091.31079 on epoch:    85, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 64.7742614746s, input_fired_time: 0.7323460579, output_fired_time: 0.5983986259, propagate_forward_time: 23.5579280853, propagate_backward_time: 37.7836875916, weight_update_time: 0.0945076421, other_time: 2.1019020081
epoch time: 5.3199510574s, input_fired_time: 0.0936108828, output_fired_time: 0.0000000000, propagate_forward_time: 4.8419427872, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3843975067
validation[          , genome  4478] predictions:    9646/  10000 (96.46%), best:    9678/10000 (96.78%), error:      1198.42590, best error:      1091.31079 on epoch:    85, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 63.9252090454s, input_fired_time: 0.7299708128, output_fired_time: 0.5899307132, propagate_forward_time: 23.2913208008, propagate_backward_time: 37.2288055420, weight_update_time: 0.0935973302, other_time: 2.0851821899
epoch time: 4.9256596565s, input_fired_time: 0.0887380913, output_fired_time: 0.0000000000, propagate_forward_time: 4.4714841843, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3654375076
validation[          , genome  4478] predictions:    9594/  10000 (95.94%), best:    9678/10000 (96.78%), error:      1356.68774, best error:      1091.31079 on epoch:    85, epoch:  100/100, mu: 0.9870989323, learning_rate: 0.0000740065, weight_decay: 0.0000029603

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 25.4795894623s, input_fired_time: 0.4500725269, output_fired_time: 0.0000000000, propagate_forward_time: 23.0889453888, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9405708313
best training[          , genome  4478] predictions:   49153/  50000 (98.31%), best:    9678/10000 (96.78%), error:      3111.41284, best error:      1091.31079 on epoch:    85, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 5.0089869499s, input_fired_time: 0.0879936218, output_fired_time: 0.0000000000, propagate_forward_time: 4.5502247810, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3707685471
   testing[          , genome  4478] predictions:    9716/  10000 (97.16%), best:    9678/10000 (96.78%), error:       988.38763, best error:      1091.31079 on epoch:    85, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
00:43:13 (7832): called boinc_finish(0)

</stderr_txt>
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