Nameexact_genome_1532008504_164_9175_1
Workunit3874052
Created23 Jul 2018, 5:43:18 UTC
Sent23 Jul 2018, 6:26:41 UTC
Report deadline13 Dec 2018, 3:55:03 UTC
Received27 Jul 2018, 15:34:00 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID60269
Run time2 days 9 hours 13 min 13 sec
CPU time2 days 8 hours 59 min 17 sec
Validate stateInitial
Credit0.00
Device peak FLOPS4.36 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size563.21 MB
Peak swap size583.16 MB
Peak disk usage13.78 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
: 145.4390716553s, input_fired_time: 1.4662611485, output_fired_time: 0.0000000000, propagate_forward_time: 141.1193237305, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8534851074
validation[          , genome  9175] predictions:    5225/  10000 (52.25%), best:    6608/10000 (66.08%), error:     15111.92090, best error:     10319.38770 on epoch:     0, epoch:   35/100, mu: 0.9188762307, learning_rate: 0.0000006849, weight_decay: 0.0000637172

epoch time: 1792.8569335938s, input_fired_time: 20.7987575531, output_fired_time: 8.9172954559, propagate_forward_time: 702.9240112305, propagate_backward_time: 1043.7996826172, weight_update_time: 0.4479449391, other_time: 16.4173583984
epoch time: 147.5547027588s, input_fired_time: 1.4790302515, output_fired_time: 0.0000000000, propagate_forward_time: 143.2532348633, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8224334717
validation[          , genome  9175] predictions:    5224/  10000 (52.24%), best:    6608/10000 (66.08%), error:     15037.94727, best error:     10319.38770 on epoch:     0, epoch:   36/100, mu: 0.9227895737, learning_rate: 0.0000006344, weight_decay: 0.0000601022

epoch time: 1820.1766357422s, input_fired_time: 20.8424453735, output_fired_time: 8.9885683060, propagate_forward_time: 713.0164794922, propagate_backward_time: 1061.0172119141, weight_update_time: 0.4547945857, other_time: 16.3120117188
epoch time: 150.7173156738s, input_fired_time: 1.4801983833, output_fired_time: 0.0000000000, propagate_forward_time: 146.1920471191, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0450744629
validation[          , genome  9175] predictions:    5191/  10000 (51.91%), best:    6608/10000 (66.08%), error:     15034.92383, best error:     10319.38770 on epoch:     0, epoch:   37/100, mu: 0.9264875650, learning_rate: 0.0000005876, weight_decay: 0.0000566923

epoch time: 1870.7854003906s, input_fired_time: 20.8543319702, output_fired_time: 9.1429166794, propagate_forward_time: 731.5084228516, propagate_backward_time: 1092.4005126953, weight_update_time: 0.4552371204, other_time: 16.8791503906
epoch time: 151.5834045410s, input_fired_time: 1.4767707586, output_fired_time: 0.0000000000, propagate_forward_time: 147.0862884521, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0203399658
validation[          , genome  9175] predictions:    5224/  10000 (52.24%), best:    6608/10000 (66.08%), error:     15008.62988, best error:     10319.38770 on epoch:     0, epoch:   38/100, mu: 0.9299821258, learning_rate: 0.0000005443, weight_decay: 0.0000534758

epoch time: 1869.6573486328s, input_fired_time: 20.8782539368, output_fired_time: 9.1796226501, propagate_forward_time: 731.3421020508, propagate_backward_time: 1091.1132812500, weight_update_time: 0.4520810544, other_time: 17.1440429688
epoch time: 154.6198425293s, input_fired_time: 1.4873496294, output_fired_time: 0.0000000000, propagate_forward_time: 149.8655548096, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2669372559
validation[          , genome  9175] predictions:    5261/  10000 (52.61%), best:    6608/10000 (66.08%), error:     15001.05371, best error:     10319.38770 on epoch:     0, epoch:   39/100, mu: 0.9332844019, learning_rate: 0.0000005042, weight_decay: 0.0000504419

epoch time: 1914.4570312500s, input_fired_time: 20.9538288116, output_fired_time: 9.3129854202, propagate_forward_time: 748.4114990234, propagate_backward_time: 1118.1245117188, weight_update_time: 0.4557857513, other_time: 17.6541748047
epoch time: 156.5656280518s, input_fired_time: 1.4914500713, output_fired_time: 0.0000000000, propagate_forward_time: 151.6913909912, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3827819824
validation[          , genome  9175] predictions:    5230/  10000 (52.30%), best:    6608/10000 (66.08%), error:     14989.47363, best error:     10319.38770 on epoch:     0, epoch:   40/100, mu: 0.9364050031, learning_rate: 0.0000004670, weight_decay: 0.0000475800

epoch time: 1925.4799804688s, input_fired_time: 20.9259757996, output_fired_time: 9.4094476700, propagate_forward_time: 751.4656372070, propagate_backward_time: 1125.5190429688, weight_update_time: 0.4513284862, other_time: 18.1599121094
epoch time: 157.7456359863s, input_fired_time: 1.4913045168, output_fired_time: 0.0000000000, propagate_forward_time: 152.9003601074, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3539733887
validation[          , genome  9175] predictions:    5269/  10000 (52.69%), best:    6608/10000 (66.08%), error:     14925.14063, best error:     10319.38770 on epoch:     0, epoch:   41/100, mu: 0.9393538833, learning_rate: 0.0000004325, weight_decay: 0.0000448806

epoch time: 1922.4641113281s, input_fired_time: 20.8888549805, output_fired_time: 9.3243579865, propagate_forward_time: 752.3854370117, propagate_backward_time: 1121.8836669922, weight_update_time: 0.4534952343, other_time: 17.9818115234
epoch time: 157.1910095215s, input_fired_time: 1.5016710758, output_fired_time: 0.0000000000, propagate_forward_time: 152.5066986084, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1826324463
validation[          , genome  9175] predictions:    5264/  10000 (52.64%), best:    6608/10000 (66.08%), error:     14915.58984, best error:     10319.38770 on epoch:     0, epoch:   42/100, mu: 0.9421405196, learning_rate: 0.0000004007, weight_decay: 0.0000423342

epoch time: 1907.1480712891s, input_fired_time: 20.9077796936, output_fired_time: 9.3122482300, propagate_forward_time: 746.5879516602, propagate_backward_time: 1112.8558349609, weight_update_time: 0.4568714201, other_time: 17.4842529297
epoch time: 153.3474273682s, input_fired_time: 1.4750062227, output_fired_time: 0.0000000000, propagate_forward_time: 148.7448577881, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1275634766
validation[          , genome  9175] predictions:    5274/  10000 (52.74%), best:    6608/10000 (66.08%), error:     14907.85254, best error:     10319.38770 on epoch:     0, epoch:   43/100, mu: 0.9447737932, learning_rate: 0.0000003711, weight_decay: 0.0000399324

epoch time: 1884.1745605469s, input_fired_time: 20.7974147797, output_fired_time: 9.2250871658, propagate_forward_time: 737.4093017578, propagate_backward_time: 1099.4720458984, weight_update_time: 0.4552445412, other_time: 17.2707519531
epoch time: 153.2570190430s, input_fired_time: 1.4818352461, output_fired_time: 0.0000000000, propagate_forward_time: 148.5444030762, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2307739258
validation[          , genome  9175] predictions:    5230/  10000 (52.30%), best:    6608/10000 (66.08%), error:     14998.43262, best error:     10319.38770 on epoch:     0, epoch:   44/100, mu: 0.9472622275, learning_rate: 0.0000003437, weight_decay: 0.0000376668

epoch time: 1901.0240478516s, input_fired_time: 20.9371795654, output_fired_time: 9.2369441986, propagate_forward_time: 743.1790771484, propagate_backward_time: 1110.3105468750, weight_update_time: 0.4543604851, other_time: 17.3603515625
epoch time: 152.6880950928s, input_fired_time: 1.4881488085, output_fired_time: 0.0000000000, propagate_forward_time: 147.9754638672, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2244873047
validation[          , genome  9175] predictions:    5283/  10000 (52.83%), best:    6608/10000 (66.08%), error:     14850.46387, best error:     10319.38770 on epoch:     0, epoch:   45/100, mu: 0.9496136904, learning_rate: 0.0000003184, weight_decay: 0.0000355298

epoch time: 1875.0050048828s, input_fired_time: 20.8353977203, output_fired_time: 9.2080688477, propagate_forward_time: 733.1087646484, propagate_backward_time: 1094.6279296875, weight_update_time: 0.4586221576, other_time: 17.2247314453
epoch time: 151.4952697754s, input_fired_time: 1.4763236046, output_fired_time: 0.0000000000, propagate_forward_time: 146.9487152100, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0702362061
validation[          , genome  9175] predictions:    5245/  10000 (52.45%), best:    6608/10000 (66.08%), error:     14879.53613, best error:     10319.38770 on epoch:     0, epoch:   46/100, mu: 0.9518358111, learning_rate: 0.0000002949, weight_decay: 0.0000335140

epoch time: 1904.0925292969s, input_fired_time: 20.9626770020, output_fired_time: 9.2614812851, propagate_forward_time: 745.7012329102, propagate_backward_time: 1110.4770507813, weight_update_time: 0.4539989829, other_time: 17.6901855469
epoch time: 155.7904205322s, input_fired_time: 1.4914188385, output_fired_time: 0.0000000000, propagate_forward_time: 150.9997253418, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2992706299
validation[          , genome  9175] predictions:    5295/  10000 (52.95%), best:    6608/10000 (66.08%), error:     14893.54980, best error:     10319.38770 on epoch:     0, epoch:   47/100, mu: 0.9539356828, learning_rate: 0.0000002732, weight_decay: 0.0000316126

epoch time: 1929.3863525391s, input_fired_time: 20.9330577850, output_fired_time: 9.3611822128, propagate_forward_time: 753.8500976563, propagate_backward_time: 1127.5378417969, weight_update_time: 0.4559084475, other_time: 17.7041015625
epoch time: 155.5558624268s, input_fired_time: 1.4792121649, output_fired_time: 0.0000000000, propagate_forward_time: 150.7878570557, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2887878418
validation[          , genome  9175] predictions:    5277/  10000 (52.77%), best:    6608/10000 (66.08%), error:     14868.72852, best error:     10319.38770 on epoch:     0, epoch:   48/100, mu: 0.9559199810, learning_rate: 0.0000002530, weight_decay: 0.0000298190

epoch time: 1938.1357421875s, input_fired_time: 20.8930530548, output_fired_time: 9.3441553116, propagate_forward_time: 757.7544555664, propagate_backward_time: 1132.2059326172, weight_update_time: 0.4506686628, other_time: 17.9381103516
epoch time: 158.0937957764s, input_fired_time: 1.5009442568, output_fired_time: 0.0000000000, propagate_forward_time: 153.3222961426, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2705535889
validation[          , genome  9175] predictions:    5288/  10000 (52.88%), best:    6608/10000 (66.08%), error:     14887.71289, best error:     10319.38770 on epoch:     0, epoch:   49/100, mu: 0.9577950835, learning_rate: 0.0000002344, weight_decay: 0.0000281272

epoch time: 1925.4344482422s, input_fired_time: 20.8817157745, output_fired_time: 9.2990102768, propagate_forward_time: 753.2714233398, propagate_backward_time: 1123.6938476563, weight_update_time: 0.4500917196, other_time: 18.2885742188
epoch time: 152.1050872803s, input_fired_time: 1.4744510651, output_fired_time: 0.0000000000, propagate_forward_time: 147.4147186279, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2159118652
validation[          , genome  9175] predictions:    5289/  10000 (52.89%), best:    6608/10000 (66.08%), error:     14845.66309, best error:     10319.38770 on epoch:     0, epoch:   50/100, mu: 0.9595670700, learning_rate: 0.0000002171, weight_decay: 0.0000265314

epoch time: 1885.2552490234s, input_fired_time: 20.7935562134, output_fired_time: 9.1653308868, propagate_forward_time: 737.5190429688, propagate_backward_time: 1100.4173583984, weight_update_time: 0.4531387985, other_time: 17.3599853516
epoch time: 153.3069915771s, input_fired_time: 1.4727773666, output_fired_time: 0.0000000000, propagate_forward_time: 148.8130493164, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0211639404
validation[          , genome  9175] predictions:    5307/  10000 (53.07%), best:    6608/10000 (66.08%), error:     14827.87305, best error:     10319.38770 on epoch:     0, epoch:   51/100, mu: 0.9612415433, learning_rate: 0.0000002011, weight_decay: 0.0000250261

epoch time: 1866.7580566406s, input_fired_time: 20.8117713928, output_fired_time: 9.1227722168, propagate_forward_time: 730.1889648438, propagate_backward_time: 1089.2735595703, weight_update_time: 0.4546237886, other_time: 17.3609619141
epoch time: 148.9039154053s, input_fired_time: 1.4718759060, output_fired_time: 0.0000000000, propagate_forward_time: 144.2856597900, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1463775635
validation[          , genome  9175] predictions:    5300/  10000 (53.00%), best:    6608/10000 (66.08%), error:     14850.20410, best error:     10319.38770 on epoch:     0, epoch:   52/100, mu: 0.9628238678, learning_rate: 0.0000001862, weight_decay: 0.0000236063

epoch time: 1865.6087646484s, input_fired_time: 20.9651203156, output_fired_time: 9.2222156525, propagate_forward_time: 728.7372436523, propagate_backward_time: 1090.0004882813, weight_update_time: 0.4559412897, other_time: 16.6838378906
epoch time: 175.2453460693s, input_fired_time: 1.7509207726, output_fired_time: 0.0000000000, propagate_forward_time: 170.6206207275, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8738098145
validation[          , genome  9175] predictions:    5250/  10000 (52.50%), best:    6608/10000 (66.08%), error:     14863.44238, best error:     10319.38770 on epoch:     0, epoch:   53/100, mu: 0.9643191099, learning_rate: 0.0000001725, weight_decay: 0.0000222670

epoch time: 1831.6950683594s, input_fired_time: 20.7898044586, output_fired_time: 9.0513420105, propagate_forward_time: 716.5846557617, propagate_backward_time: 1068.5449218750, weight_update_time: 0.4503455162, other_time: 16.7243652344
epoch time: 147.4116821289s, input_fired_time: 1.4658833742, output_fired_time: 0.0000000000, propagate_forward_time: 142.9220581055, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0237426758
validation[          , genome  9175] predictions:    5230/  10000 (52.30%), best:    6608/10000 (66.08%), error:     14888.54102, best error:     10319.38770 on epoch:     0, epoch:   54/100, mu: 0.9657320976, learning_rate: 0.0000001598, weight_decay: 0.0000210036

epoch time: 1852.0445556641s, input_fired_time: 21.2061843872, output_fired_time: 9.1736326218, propagate_forward_time: 726.2110595703, propagate_backward_time: 1078.8531494141, weight_update_time: 0.4572727680, other_time: 16.6005859375
epoch time: 148.4318695068s, input_fired_time: 1.4847630262, output_fired_time: 0.0000000000, propagate_forward_time: 143.8831481934, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0639648438
validation[          , genome  9175] predictions:    5273/  10000 (52.73%), best:    6608/10000 (66.08%), error:     14806.77539, best error:     10319.38770 on epoch:     0, epoch:   55/100, mu: 0.9670673609, learning_rate: 0.0000001480, weight_decay: 0.0000198120

epoch time: 1819.8641357422s, input_fired_time: 20.8249511719, output_fired_time: 9.0422582626, propagate_forward_time: 712.5630493164, propagate_backward_time: 1060.5544433594, weight_update_time: 0.4510786533, other_time: 16.8793945313
epoch time: 147.1286468506s, input_fired_time: 1.5043641329, output_fired_time: 0.0000000000, propagate_forward_time: 142.4404754639, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1838073730
validation[          , genome  9175] predictions:    5308/  10000 (53.08%), best:    6608/10000 (66.08%), error:     14803.50977, best error:     10319.38770 on epoch:     0, epoch:   56/100, mu: 0.9683291316, learning_rate: 0.0000001371, weight_decay: 0.0000186879

epoch time: 1814.7070312500s, input_fired_time: 20.7133312225, output_fired_time: 8.9991292953, propagate_forward_time: 707.3392944336, propagate_backward_time: 1060.9536132813, weight_update_time: 0.4483019114, other_time: 16.7016601563
epoch time: 148.8459625244s, input_fired_time: 1.4775267839, output_fired_time: 0.0000000000, propagate_forward_time: 144.3770141602, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9914245605
validation[          , genome  9175] predictions:    5288/  10000 (52.88%), best:    6608/10000 (66.08%), error:     14845.06738, best error:     10319.38770 on epoch:     0, epoch:   57/100, mu: 0.9695215225, learning_rate: 0.0000001270, weight_decay: 0.0000176277

epoch time: 1826.0061035156s, input_fired_time: 20.8362865448, output_fired_time: 9.0354146957, propagate_forward_time: 714.9581298828, propagate_backward_time: 1064.3026123047, weight_update_time: 0.4474839866, other_time: 16.8736572266
epoch time: 148.6846618652s, input_fired_time: 1.4730118513, output_fired_time: 0.0000000000, propagate_forward_time: 144.1951293945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0165252686
validation[          , genome  9175] predictions:    5206/  10000 (52.06%), best:    6608/10000 (66.08%), error:     14867.52539, best error:     10319.38770 on epoch:     0, epoch:   58/100, mu: 0.9706482887, learning_rate: 0.0000001176, weight_decay: 0.0000166276

epoch time: 1840.9672851563s, input_fired_time: 20.8196296692, output_fired_time: 9.0448274612, propagate_forward_time: 719.3619995117, propagate_backward_time: 1074.9187011719, weight_update_time: 0.4519023299, other_time: 16.8222656250
epoch time: 148.8404235840s, input_fired_time: 1.4771721363, output_fired_time: 0.0000000000, propagate_forward_time: 144.3105010986, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0527496338
validation[          , genome  9175] predictions:    5276/  10000 (52.76%), best:    6608/10000 (66.08%), error:     14840.26367, best error:     10319.38770 on epoch:     0, epoch:   59/100, mu: 0.9717130661, learning_rate: 0.0000001089, weight_decay: 0.0000156842

epoch time: 1846.8347167969s, input_fired_time: 20.9161415100, output_fired_time: 9.2059955597, propagate_forward_time: 722.8803710938, propagate_backward_time: 1076.8597412109, weight_update_time: 0.4559388459, other_time: 16.9724121094
epoch time: 150.3143920898s, input_fired_time: 1.4830363989, output_fired_time: 0.0000000000, propagate_forward_time: 145.8903656006, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9409942627
validation[          , genome  9175] predictions:    5268/  10000 (52.68%), best:    6608/10000 (66.08%), error:     14800.54492, best error:     10319.38770 on epoch:     0, epoch:   60/100, mu: 0.9727192521, learning_rate: 0.0000001009, weight_decay: 0.0000147944

epoch time: 1851.9613037109s, input_fired_time: 20.9906730652, output_fired_time: 9.0564880371, propagate_forward_time: 725.7857666016, propagate_backward_time: 1079.7583007813, weight_update_time: 0.4567643702, other_time: 16.3699951172
epoch time: 151.4883117676s, input_fired_time: 1.4834110737, output_fired_time: 0.0000000000, propagate_forward_time: 147.1277160645, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8771820068
validation[          , genome  9175] predictions:    5308/  10000 (53.08%), best:    6608/10000 (66.08%), error:     14826.36523, best error:     10319.38770 on epoch:     0, epoch:   61/100, mu: 0.9736700654, learning_rate: 0.0000000935, weight_decay: 0.0000139550

epoch time: 1879.8778076172s, input_fired_time: 21.0712089539, output_fired_time: 9.1848821640, propagate_forward_time: 736.6921997070, propagate_backward_time: 1096.3718261719, weight_update_time: 0.4636837840, other_time: 16.5576171875
epoch time: 152.0899047852s, input_fired_time: 1.4830274582, output_fired_time: 0.0000000000, propagate_forward_time: 147.4101715088, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1967010498
validation[          , genome  9175] predictions:    5277/  10000 (52.77%), best:    6608/10000 (66.08%), error:     14790.51758, best error:     10319.38770 on epoch:     0, epoch:   62/100, mu: 0.9745685458, learning_rate: 0.0000000866, weight_decay: 0.0000131632

epoch time: 1843.4864501953s, input_fired_time: 21.0390644073, output_fired_time: 9.0448226929, propagate_forward_time: 721.8900756836, propagate_backward_time: 1075.2901611328, weight_update_time: 0.4533065856, other_time: 16.2222900391
epoch time: 149.4052429199s, input_fired_time: 1.5004110336, output_fired_time: 0.0000000000, propagate_forward_time: 144.7379608154, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1668701172
validation[          , genome  9175] predictions:    5284/  10000 (52.84%), best:    6608/10000 (66.08%), error:     14820.63184, best error:     10319.38770 on epoch:     0, epoch:   63/100, mu: 0.9754176140, learning_rate: 0.0000000802, weight_decay: 0.0000124164

epoch time: 1820.9040527344s, input_fired_time: 21.0195503235, output_fired_time: 8.9565000534, propagate_forward_time: 714.5474853516, propagate_backward_time: 1060.5634765625, weight_update_time: 0.4559126496, other_time: 15.8170166016
epoch time: 148.1117706299s, input_fired_time: 1.4786342382, output_fired_time: 0.0000000000, propagate_forward_time: 143.7902984619, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8428344727
validation[          , genome  9175] predictions:    5269/  10000 (52.69%), best:    6608/10000 (66.08%), error:     14831.88184, best error:     10319.38770 on epoch:     0, epoch:   64/100, mu: 0.9762199521, learning_rate: 0.0000000743, weight_decay: 0.0000117120

epoch time: 1807.1097412109s, input_fired_time: 21.1090717316, output_fired_time: 8.9886293411, propagate_forward_time: 707.8334960938, propagate_backward_time: 1053.9002685547, weight_update_time: 0.4611025453, other_time: 15.2781982422
epoch time: 146.4595794678s, input_fired_time: 1.5040264130, output_fired_time: 0.0000000000, propagate_forward_time: 142.2471771240, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7083740234
validation[          , genome  9175] predictions:    5287/  10000 (52.87%), best:    6608/10000 (66.08%), error:     14768.22949, best error:     10319.38770 on epoch:     0, epoch:   65/100, mu: 0.9769781232, learning_rate: 0.0000000688, weight_decay: 0.0000110475

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/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1532008504_164_9175.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1532008504_164_9175_1_r1387839798_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: 0.474479
read mu: 0.977695
read mu_delta: 0.944979
read initial_learning_rate: 1e-05
read learning_rate: 6.37306e-08
read learning_rate_delta: 0.926259
read initial_weight_decay: 0.000492132
read weight_decay: 1.04207e-05
read weight_decay_delta: 0.943265
read batch_size: 90
read epsilon: 1e-07
read alpha: 0.0896261
read input_dropout_probability: 0.00148622
read hidden_dropout_probability: 0.091177
read velocity_reset: 2044
read epoch: 66
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 6608
read best_validation_error: 10319.4
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: 9175
read normal distribution: '1 0 0'
generator_str: '943257814'
read generator: 943257814
read generated_by_map:
1 disable_node 1
reading 120 nodes.
reading 481 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
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: 3x32x32 = 3072
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: 3
width: 32
height: 32
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: 3x32x32 = 3072
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
loaded images
starting backpropagation!
epoch time: 1834.37670898438s, input_fired_time: 21.4661064147949, output_fired_time: 8.95812129974365, propagate_forward_time: 720.954895019531, propagate_backward_time: 1067.73315429688, weight_update_time: 0.469918459653854, other_time: 15.264404296875
epoch time: 150.296279907227s, input_fired_time: 1.51369488239288, output_fired_time: 0, propagate_forward_time: 146.083450317383, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.69912719726563
validation[          , genome  9175] predictions:    5304/  10000 (53.04%), best:    6608/10000 (66.08%), error:     14864.39648, best error:     10319.38770 on epoch:     0, epoch:   66/100, mu: 0.9776946306, learning_rate: 0.0000000637, weight_decay: 0.0000104207

epoch time: 1840.8811035156s, input_fired_time: 21.3432826996, output_fired_time: 9.0549373627, propagate_forward_time: 723.2305297852, propagate_backward_time: 1072.0363769531, weight_update_time: 0.4638858438, other_time: 15.2160644531
epoch time: 150.3949127197s, input_fired_time: 1.5067552328, output_fired_time: 0.0000000000, propagate_forward_time: 146.1406250000, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7475280762
validation[          , genome  9175] predictions:    5340/  10000 (53.40%), best:    6608/10000 (66.08%), error:     14799.10547, best error:     10319.38770 on epoch:     0, epoch:   67/100, mu: 0.9783716798, learning_rate: 0.0000000590, weight_decay: 0.0000098295

epoch time: 1845.5144042969s, input_fired_time: 21.3122444153, output_fired_time: 9.0281343460, propagate_forward_time: 723.9000244141, propagate_backward_time: 1075.6940917969, weight_update_time: 0.4641065300, other_time: 15.5799560547
epoch time: 150.3753051758s, input_fired_time: 1.5134222507, output_fired_time: 0.0000000000, propagate_forward_time: 146.1583099365, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7035675049
validation[          , genome  9175] predictions:    5326/  10000 (53.26%), best:    6608/10000 (66.08%), error:     14765.83203, best error:     10319.38770 on epoch:     0, epoch:   68/100, mu: 0.9790114760, learning_rate: 0.0000000547, weight_decay: 0.0000092718

epoch time: 1837.1845703125s, input_fired_time: 21.2288208008, output_fired_time: 9.0498352051, propagate_forward_time: 720.9082031250, propagate_backward_time: 1070.6978759766, weight_update_time: 0.4697402120, other_time: 15.2999267578
epoch time: 148.0850677490s, input_fired_time: 1.4865728617, output_fired_time: 0.0000000000, propagate_forward_time: 143.8821258545, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7163696289
validation[          , genome  9175] predictions:    5311/  10000 (53.11%), best:    6608/10000 (66.08%), error:     14806.56543, best error:     10319.38770 on epoch:     0, epoch:   69/100, mu: 0.9796161056, learning_rate: 0.0000000506, weight_decay: 0.0000087458

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/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1532008504_164_9175.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1532008504_164_9175_1_r1387839798_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: 0.474479
read mu: 0.980187
read mu_delta: 0.944979
read initial_learning_rate: 1e-05
read learning_rate: 4.69114e-08
read learning_rate_delta: 0.926259
read initial_weight_decay: 0.000492132
read weight_decay: 8.24957e-06
read weight_decay_delta: 0.943265
read batch_size: 90
read epsilon: 1e-07
read alpha: 0.0896261
read input_dropout_probability: 0.00148622
read hidden_dropout_probability: 0.091177
read velocity_reset: 2044
read epoch: 70
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 6608
read best_validation_error: 10319.4
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: 9175
read normal distribution: '1 0 0'
generator_str: '987551038'
read generator: 987551038
read generated_by_map:
1 disable_node 1
reading 120 nodes.
reading 481 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
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: 3x32x32 = 3072
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: 3
width: 32
height: 32
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: 3x32x32 = 3072
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
loaded images
starting backpropagation!
epoch time: 1747.50061035156s, input_fired_time: 21.0467548370361, output_fired_time: 8.72699737548828, propagate_forward_time: 685.666625976563, propagate_backward_time: 1017.12805175781, weight_update_time: 0.460474014282227, other_time: 14.93212890625
epoch time: 140.301254272461s, input_fired_time: 1.46110093593597, output_fired_time: 0, propagate_forward_time: 136.2421875, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.59796142578125
validation[          , genome  9175] predictions:    5334/  10000 (53.34%), best:    6608/10000 (66.08%), error:     14788.19043, best error:     10319.38770 on epoch:     0, epoch:   70/100, mu: 0.9801874161, learning_rate: 0.0000000469, weight_decay: 0.0000082496

epoch time: 1743.1336669922s, input_fired_time: 20.9040431976, output_fired_time: 8.7739028931, propagate_forward_time: 682.0451049805, propagate_backward_time: 1016.1465454102, weight_update_time: 0.4542287290, other_time: 15.2640991211
epoch time: 143.0773620605s, input_fired_time: 1.4888383150, output_fired_time: 0.0000000000, propagate_forward_time: 138.8135833740, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7749328613
validation[          , genome  9175] predictions:    5311/  10000 (53.11%), best:    6608/10000 (66.08%), error:     14783.00293, best error:     10319.38770 on epoch:     0, epoch:   71/100, mu: 0.9807273149, learning_rate: 0.0000000435, weight_decay: 0.0000077815

epoch time: 1777.0661621094s, input_fired_time: 20.9974098206, output_fired_time: 8.7611742020, propagate_forward_time: 694.6856689453, propagate_backward_time: 1036.9996337891, weight_update_time: 0.4556925297, other_time: 15.6221923828
epoch time: 145.0389404297s, input_fired_time: 1.4716567993, output_fired_time: 0.0000000000, propagate_forward_time: 140.6303100586, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9369812012
validation[          , genome  9175] predictions:    5303/  10000 (53.03%), best:    6608/10000 (66.08%), error:     14835.47168, best error:     10319.38770 on epoch:     0, epoch:   72/100, mu: 0.9812375307, learning_rate: 0.0000000402, weight_decay: 0.0000073400

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/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1532008504_164_9175.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1532008504_164_9175_1_r1387839798_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: 0.474479
read mu: 0.98172
read mu_delta: 0.944979
read initial_learning_rate: 1e-05
read learning_rate: 3.728e-08
read learning_rate_delta: 0.926259
read initial_weight_decay: 0.000492132
read weight_decay: 6.9236e-06
read weight_decay_delta: 0.943265
read batch_size: 90
read epsilon: 1e-07
read alpha: 0.0896261
read input_dropout_probability: 0.00148622
read hidden_dropout_probability: 0.091177
read velocity_reset: 2044
read epoch: 73
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 6608
read best_validation_error: 10319.4
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: 9175
read normal distribution: '1 0 0'
generator_str: '1173452668'
read generator: 1173452668
read generated_by_map:
1 disable_node 1
reading 120 nodes.
reading 481 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
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: 3x32x32 = 3072
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: 3
width: 32
height: 32
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: 3x32x32 = 3072
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
loaded images
starting backpropagation!
epoch time: 1745.60986328125s, input_fired_time: 21.1758499145508, output_fired_time: 8.69737434387207, propagate_forward_time: 684.259765625, propagate_backward_time: 1017.8740234375, weight_update_time: 0.456130415201187, other_time: 13.602783203125
epoch time: 146.997650146484s, input_fired_time: 1.49142348766327, output_fired_time: 0, propagate_forward_time: 142.881576538086, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.62464904785156
validation[          , genome  9175] predictions:    5319/  10000 (53.19%), best:    6608/10000 (66.08%), error:     14839.92871, best error:     10319.38770 on epoch:     0, epoch:   73/100, mu: 0.9817196727, learning_rate: 0.0000000373, weight_decay: 0.0000069236

epoch time: 1817.1906738281s, input_fired_time: 21.2400608063, output_fired_time: 8.9645595551, propagate_forward_time: 712.8293457031, propagate_backward_time: 1059.3699951172, weight_update_time: 0.4585890472, other_time: 14.7866210938
epoch time: 148.4414215088s, input_fired_time: 1.4974129200, output_fired_time: 0.0000000000, propagate_forward_time: 144.3970489502, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5469665527
validation[          , genome  9175] predictions:    5307/  10000 (53.07%), best:    6608/10000 (66.08%), error:     14800.39258, best error:     10319.38770 on epoch:     0, epoch:   74/100, mu: 0.9821752906, learning_rate: 0.0000000345, weight_decay: 0.0000065308

epoch time: 1835.5677490234s, input_fired_time: 21.1975955963, output_fired_time: 8.9600400925, propagate_forward_time: 719.7252807617, propagate_backward_time: 1070.6890869141, weight_update_time: 0.4588994384, other_time: 14.9957275391
epoch time: 149.9613494873s, input_fired_time: 1.4875839949, output_fired_time: 0.0000000000, propagate_forward_time: 145.6445922852, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8291778564
validation[          , genome  9175] predictions:    5332/  10000 (53.32%), best:    6608/10000 (66.08%), error:     14783.54004, best error:     10319.38770 on epoch:     0, epoch:   75/100, mu: 0.9826058149, learning_rate: 0.0000000320, weight_decay: 0.0000061603

epoch time: 1865.0976562500s, input_fired_time: 21.1444034576, output_fired_time: 9.1431465149, propagate_forward_time: 731.1193847656, propagate_backward_time: 1087.8474121094, weight_update_time: 0.4614500701, other_time: 15.8432617188
epoch time: 151.1452789307s, input_fired_time: 1.4964314699, output_fired_time: 0.0000000000, propagate_forward_time: 146.7586517334, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8901977539
validation[          , genome  9175] predictions:    5316/  10000 (53.16%), best:    6608/10000 (66.08%), error:     14807.47852, best error:     10319.38770 on epoch:     0, epoch:   76/100, mu: 0.9830126762, learning_rate: 0.0000000296, weight_decay: 0.0000058108

epoch time: 1857.0876464844s, input_fired_time: 21.0831260681, output_fired_time: 9.1141881943, propagate_forward_time: 727.6070556641, propagate_backward_time: 1083.3427734375, weight_update_time: 0.4577008784, other_time: 15.9405517578
epoch time: 152.3256378174s, input_fired_time: 1.4987323284, output_fired_time: 0.0000000000, propagate_forward_time: 147.9469757080, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8799285889
validation[          , genome  9175] predictions:    5310/  10000 (53.10%), best:    6608/10000 (66.08%), error:     14818.85352, best error:     10319.38770 on epoch:     0, epoch:   77/100, mu: 0.9833971262, learning_rate: 0.0000000274, weight_decay: 0.0000054811

epoch time: 1860.3830566406s, input_fired_time: 21.1635913849, output_fired_time: 9.1446714401, propagate_forward_time: 730.0537719727, propagate_backward_time: 1084.1076660156, weight_update_time: 0.4618524909, other_time: 15.9133300781
epoch time: 150.6127624512s, input_fired_time: 1.4841907024, output_fired_time: 0.0000000000, propagate_forward_time: 146.2992858887, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8292846680
validation[          , genome  9175] predictions:    5306/  10000 (53.06%), best:    6608/10000 (66.08%), error:     14765.44141, best error:     10319.38770 on epoch:     0, epoch:   78/100, mu: 0.9837604165, learning_rate: 0.0000000254, weight_decay: 0.0000051701

epoch time: 1873.7230224609s, input_fired_time: 21.0974349976, output_fired_time: 9.1810226440, propagate_forward_time: 733.0857543945, propagate_backward_time: 1093.9259033203, weight_update_time: 0.4571700394, other_time: 16.4329833984
epoch time: 153.4622955322s, input_fired_time: 1.4977477789, output_fired_time: 0.0000000000, propagate_forward_time: 149.1557159424, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8088378906
validation[          , genome  9175] predictions:    5298/  10000 (52.98%), best:    6608/10000 (66.08%), error:     14827.01465, best error:     10319.38770 on epoch:     0, epoch:   79/100, mu: 0.9841037393, learning_rate: 0.0000000235, weight_decay: 0.0000048768

epoch time: 1872.5408935547s, input_fired_time: 20.9966087341, output_fired_time: 9.1648998260, propagate_forward_time: 733.0694580078, propagate_backward_time: 1092.8780517578, weight_update_time: 0.4584509730, other_time: 16.4318847656
epoch time: 152.3965759277s, input_fired_time: 1.4955424070, output_fired_time: 0.0000000000, propagate_forward_time: 147.8905029297, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0105285645
validation[          , genome  9175] predictions:    5303/  10000 (53.03%), best:    6608/10000 (66.08%), error:     14819.11328, best error:     10319.38770 on epoch:     0, epoch:   80/100, mu: 0.9844281673, learning_rate: 0.0000000218, weight_decay: 0.0000046001

epoch time: 1874.3085937500s, input_fired_time: 21.0221080780, output_fired_time: 9.2062120438, propagate_forward_time: 733.5656738281, propagate_backward_time: 1094.0327148438, weight_update_time: 0.4536285698, other_time: 16.4819335938
epoch time: 151.0096893311s, input_fired_time: 1.4772603512, output_fired_time: 0.0000000000, propagate_forward_time: 146.7246856689, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8077392578
validation[          , genome  9175] predictions:    5317/  10000 (53.17%), best:    6608/10000 (66.08%), error:     14815.12207, best error:     10319.38770 on epoch:     0, epoch:   81/100, mu: 0.9847347140, learning_rate: 0.0000000202, weight_decay: 0.0000043391

epoch time: 1886.5134277344s, input_fired_time: 21.0011405945, output_fired_time: 9.2332181931, propagate_forward_time: 738.4005737305, propagate_backward_time: 1101.2175292969, weight_update_time: 0.4572434425, other_time: 16.6608886719
epoch time: 154.2073364258s, input_fired_time: 1.4964936972, output_fired_time: 0.0000000000, propagate_forward_time: 149.6471557617, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0636901855
validation[          , genome  9175] predictions:    5319/  10000 (53.19%), best:    6608/10000 (66.08%), error:     14805.41504, best error:     10319.38770 on epoch:     0, epoch:   82/100, mu: 0.9850243926, learning_rate: 0.0000000187, weight_decay: 0.0000040929

epoch time: 1909.4851074219s, input_fired_time: 20.9308090210, output_fired_time: 9.2899675369, propagate_forward_time: 746.0234375000, propagate_backward_time: 1116.0968017578, weight_update_time: 0.4592109323, other_time: 17.1441650391
epoch time: 156.4180908203s, input_fired_time: 1.4992569685, output_fired_time: 0.0000000000, propagate_forward_time: 151.6263732910, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2924652100
validation[          , genome  9175] predictions:    5306/  10000 (53.06%), best:    6608/10000 (66.08%), error:     14845.48145, best error:     10319.38770 on epoch:     0, epoch:   83/100, mu: 0.9852981567, learning_rate: 0.0000000173, weight_decay: 0.0000038607

epoch time: 1907.2354736328s, input_fired_time: 20.8881282806, output_fired_time: 9.3428735733, propagate_forward_time: 745.1199340820, propagate_backward_time: 1114.5336914063, weight_update_time: 0.4522401989, other_time: 17.3508300781
epoch time: 153.5036010742s, input_fired_time: 1.4921295643, output_fired_time: 0.0000000000, propagate_forward_time: 148.9296722412, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0818023682
validation[          , genome  9175] predictions:    5315/  10000 (53.15%), best:    6608/10000 (66.08%), error:     14838.35156, best error:     10319.38770 on epoch:     0, epoch:   84/100, mu: 0.9855568409, learning_rate: 0.0000000161, weight_decay: 0.0000036417

epoch time: 1882.2145996094s, input_fired_time: 20.8997592926, output_fired_time: 9.1649971008, propagate_forward_time: 736.3776245117, propagate_backward_time: 1098.5474853516, weight_update_time: 0.4537508190, other_time: 17.2247314453
epoch time: 153.7628936768s, input_fired_time: 1.4879570007, output_fired_time: 0.0000000000, propagate_forward_time: 149.0048370361, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2700958252
validation[          , genome  9175] predictions:    5312/  10000 (53.12%), best:    6608/10000 (66.08%), error:     14833.74316, best error:     10319.38770 on epoch:     0, epoch:   85/100, mu: 0.9858013391, learning_rate: 0.0000000149, weight_decay: 0.0000034351

epoch time: 1898.0382080078s, input_fired_time: 20.8292999268, output_fired_time: 9.2674589157, propagate_forward_time: 740.4131469727, propagate_backward_time: 1109.8031005859, weight_update_time: 0.4523742795, other_time: 17.7252197266
epoch time: 153.1413879395s, input_fired_time: 1.4880366325, output_fired_time: 0.0000000000, propagate_forward_time: 148.4330749512, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2202758789
validation[          , genome  9175] predictions:    5298/  10000 (52.98%), best:    6608/10000 (66.08%), error:     14838.75000, best error:     10319.38770 on epoch:     0, epoch:   86/100, mu: 0.9860323668, learning_rate: 0.0000000138, weight_decay: 0.0000032402

epoch time: 1907.7502441406s, input_fired_time: 20.9115676880, output_fired_time: 9.3020420074, propagate_forward_time: 746.3685913086, propagate_backward_time: 1113.5087890625, weight_update_time: 0.4519475400, other_time: 17.6591796875
epoch time: 152.5597839355s, input_fired_time: 1.4737663269, output_fired_time: 0.0000000000, propagate_forward_time: 147.9906616211, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0953521729
validation[          , genome  9175] predictions:    5310/  10000 (53.10%), best:    6608/10000 (66.08%), error:     14834.99609, best error:     10319.38770 on epoch:     0, epoch:   87/100, mu: 0.9862506986, learning_rate: 0.0000000128, weight_decay: 0.0000030563

epoch time: 1895.6408691406s, input_fired_time: 20.7905139923, output_fired_time: 9.2195758820, propagate_forward_time: 740.2369995117, propagate_backward_time: 1107.8525390625, weight_update_time: 0.4500785470, other_time: 17.5412597656
epoch time: 153.5581207275s, input_fired_time: 1.4889429808, output_fired_time: 0.0000000000, propagate_forward_time: 149.0382843018, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0308990479
validation[          , genome  9175] predictions:    5320/  10000 (53.20%), best:    6608/10000 (66.08%), error:     14844.91992, best error:     10319.38770 on epoch:     0, epoch:   88/100, mu: 0.9864569902, learning_rate: 0.0000000118, weight_decay: 0.0000028829

epoch time: 1883.2998046875s, input_fired_time: 20.7825031281, output_fired_time: 9.2096700668, propagate_forward_time: 734.9042968750, propagate_backward_time: 1101.0465087891, weight_update_time: 0.4529982507, other_time: 17.3568115234
epoch time: 151.5865478516s, input_fired_time: 1.4821336269, output_fired_time: 0.0000000000, propagate_forward_time: 146.9757843018, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1286315918
validation[          , genome  9175] predictions:    5340/  10000 (53.40%), best:    6608/10000 (66.08%), error:     14815.08203, best error:     10319.38770 on epoch:     0, epoch:   89/100, mu: 0.9866519570, learning_rate: 0.0000000109, weight_decay: 0.0000027194

epoch time: 1851.5753173828s, input_fired_time: 20.7461261749, output_fired_time: 9.1501026154, propagate_forward_time: 722.6749877930, propagate_backward_time: 1081.7801513672, weight_update_time: 0.4485688210, other_time: 17.2239990234
epoch time: 150.4207153320s, input_fired_time: 1.4723339081, output_fired_time: 0.0000000000, propagate_forward_time: 145.7635650635, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1848144531
validation[          , genome  9175] predictions:    5315/  10000 (53.15%), best:    6608/10000 (66.08%), error:     14834.62305, best error:     10319.38770 on epoch:     0, epoch:   90/100, mu: 0.9868361950, learning_rate: 0.0000000101, weight_decay: 0.0000025651

epoch time: 1850.4233398438s, input_fired_time: 20.7010154724, output_fired_time: 9.0806102753, propagate_forward_time: 720.7171630859, propagate_backward_time: 1082.7854003906, weight_update_time: 0.4531264007, other_time: 17.1391601563
epoch time: 150.2755279541s, input_fired_time: 1.4722082615, output_fired_time: 0.0000000000, propagate_forward_time: 145.6610260010, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1422882080
validation[          , genome  9175] predictions:    5313/  10000 (53.13%), best:    6608/10000 (66.08%), error:     14818.49121, best error:     10319.38770 on epoch:     0, epoch:   91/100, mu: 0.9870103002, learning_rate: 0.0000000094, weight_decay: 0.0000024196

epoch time: 1850.1759033203s, input_fired_time: 20.7372894287, output_fired_time: 9.1610145569, propagate_forward_time: 723.1235351563, propagate_backward_time: 1079.9226074219, weight_update_time: 0.4543414712, other_time: 17.2314453125
epoch time: 153.8956909180s, input_fired_time: 1.4780008793, output_fired_time: 0.0000000000, propagate_forward_time: 149.1190643311, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2986297607
validation[          , genome  9175] predictions:    5295/  10000 (52.95%), best:    6608/10000 (66.08%), error:     14835.87305, best error:     10319.38770 on epoch:     0, epoch:   92/100, mu: 0.9871748090, learning_rate: 0.0000000087, weight_decay: 0.0000022823

epoch time: 1891.3052978516s, input_fired_time: 20.7852001190, output_fired_time: 9.2173013687, propagate_forward_time: 740.0350341797, propagate_backward_time: 1103.9356689453, weight_update_time: 0.4470490217, other_time: 17.3321533203
epoch time: 157.2068481445s, input_fired_time: 1.4886548519, output_fired_time: 0.0000000000, propagate_forward_time: 152.4106445313, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3075561523
validation[          , genome  9175] predictions:    5315/  10000 (53.15%), best:    6608/10000 (66.08%), error:     14851.06641, best error:     10319.38770 on epoch:     0, epoch:   93/100, mu: 0.9873302579, learning_rate: 0.0000000081, weight_decay: 0.0000021528

epoch time: 1923.3139648438s, input_fired_time: 20.8664569855, output_fired_time: 9.3894414902, propagate_forward_time: 750.9152832031, propagate_backward_time: 1124.3732910156, weight_update_time: 0.4538955092, other_time: 17.7695312500
epoch time: 155.8908233643s, input_fired_time: 1.4807019234, output_fired_time: 0.0000000000, propagate_forward_time: 151.1354064941, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2747192383
validation[          , genome  9175] predictions:    5305/  10000 (53.05%), best:    6608/10000 (66.08%), error:     14838.92773, best error:     10319.38770 on epoch:     0, epoch:   94/100, mu: 0.9874771237, learning_rate: 0.0000000075, weight_decay: 0.0000020307

epoch time: 1930.8343505859s, input_fired_time: 20.8744640350, output_fired_time: 9.3639011383, propagate_forward_time: 754.8681640625, propagate_backward_time: 1127.7374267578, weight_update_time: 0.4541641176, other_time: 17.9903564453
epoch time: 156.6954193115s, input_fired_time: 1.4868777990, output_fired_time: 0.0000000000, propagate_forward_time: 151.8080291748, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4005126953
validation[          , genome  9175] predictions:    5323/  10000 (53.23%), best:    6608/10000 (66.08%), error:     14848.37207, best error:     10319.38770 on epoch:     0, epoch:   95/100, mu: 0.9876159430, learning_rate: 0.0000000069, weight_decay: 0.0000019154

epoch time: 1945.8234863281s, input_fired_time: 20.7634029388, output_fired_time: 9.4258575439, propagate_forward_time: 760.2202148438, propagate_backward_time: 1137.2982177734, weight_update_time: 0.4521404505, other_time: 18.1157226563
epoch time: 158.9347381592s, input_fired_time: 1.4828058481, output_fired_time: 0.0000000000, propagate_forward_time: 154.0281372070, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4237976074
validation[          , genome  9175] predictions:    5318/  10000 (53.18%), best:    6608/10000 (66.08%), error:     14846.56055, best error:     10319.38770 on epoch:     0, epoch:   96/100, mu: 0.9877471328, learning_rate: 0.0000000064, weight_decay: 0.0000018068

epoch time: 1960.4724121094s, input_fired_time: 20.7755393982, output_fired_time: 9.4352159500, propagate_forward_time: 764.3532104492, propagate_backward_time: 1147.4682617188, weight_update_time: 0.4533151984, other_time: 18.4401855469
epoch time: 157.9276885986s, input_fired_time: 1.4889650345, output_fired_time: 0.0000000000, propagate_forward_time: 153.0879211426, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3507995605
validation[          , genome  9175] predictions:    5324/  10000 (53.24%), best:    6608/10000 (66.08%), error:     14824.25684, best error:     10319.38770 on epoch:     0, epoch:   97/100, mu: 0.9878711104, learning_rate: 0.0000000059, weight_decay: 0.0000017043

epoch time: 1953.3200683594s, input_fired_time: 20.7695274353, output_fired_time: 9.4507160187, propagate_forward_time: 762.3259277344, propagate_backward_time: 1142.6156005859, weight_update_time: 0.4499203861, other_time: 18.1583251953
epoch time: 157.7881774902s, input_fired_time: 1.4917833805, output_fired_time: 0.0000000000, propagate_forward_time: 152.9649200439, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3314666748
validation[          , genome  9175] predictions:    5327/  10000 (53.27%), best:    6608/10000 (66.08%), error:     14856.00781, best error:     10319.38770 on epoch:     0, epoch:   98/100, mu: 0.9879882336, learning_rate: 0.0000000055, weight_decay: 0.0000016076

epoch time: 1945.9871826172s, input_fired_time: 20.7839775085, output_fired_time: 9.3892650604, propagate_forward_time: 760.0165405273, propagate_backward_time: 1137.5720214844, weight_update_time: 0.4522003829, other_time: 18.2253417969
epoch time: 156.8400573730s, input_fired_time: 1.4848803282, output_fired_time: 0.0000000000, propagate_forward_time: 152.0363769531, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3188018799
validation[          , genome  9175] predictions:    5319/  10000 (53.19%), best:    6608/10000 (66.08%), error:     14860.69922, best error:     10319.38770 on epoch:     0, epoch:   99/100, mu: 0.9880989194, learning_rate: 0.0000000051, weight_decay: 0.0000015164

epoch time: 1955.5855712891s, input_fired_time: 20.8271522522, output_fired_time: 9.4475383759, propagate_forward_time: 764.7881469727, propagate_backward_time: 1142.4581298828, weight_update_time: 0.4484677613, other_time: 18.0645751953
epoch time: 158.2383880615s, input_fired_time: 1.4880881310, output_fired_time: 0.0000000000, propagate_forward_time: 153.3949432373, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3553619385
validation[          , genome  9175] predictions:    5330/  10000 (53.30%), best:    6608/10000 (66.08%), error:     14836.49707, best error:     10319.38770 on epoch:     0, epoch:  100/100, mu: 0.9882035255, learning_rate: 0.0000000047, weight_decay: 0.0000014303

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 784.3156738281s, input_fired_time: 8.4781761169, output_fired_time: 0.0000000000, propagate_forward_time: 759.0021972656, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 16.8353271484
best training[          , genome  9175] predictions:   36931/  50000 (73.86%), best:    6608/10000 (66.08%), error:     44014.36719, best error:     10319.38770 on epoch:     0, epoch:  101/100, mu: 0.9883023500, learning_rate: 0.0000000044, weight_decay: 0.0000013492
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 156.4321746826s, input_fired_time: 1.6887524128, output_fired_time: 0.0000000000, propagate_forward_time: 151.4942626953, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2491607666
   testing[          , genome  9175] predictions:    6608/  10000 (66.08%), best:    6608/10000 (66.08%), error:     10319.38770, best error:     10319.38770 on epoch:     0, epoch:  101/100, mu: 0.9883023500, learning_rate: 0.0000000044, weight_decay: 0.0000013492
backpropagation finished successfully!
23:25:08 (4528): called boinc_finish(0)

</stderr_txt>
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