Nameexact_genome_1512568488_44_4479_1
Workunit2593687
Created7 Dec 2017, 10:09:20 UTC
Sent7 Dec 2017, 10:13:25 UTC
Report deadline10 Dec 2017, 12:42:04 UTC
Received7 Dec 2017, 22:51:48 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time1 hours 14 min 3 sec
CPU time1 hours 3 min 53 sec
Validate stateValid
Credit775.81
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size154.27 MB
Peak swap size157.18 MB
Peak disk usage1.85 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
tions:    9563/  10000 (95.63%), best:    9625/10000 (96.25%), error:      1396.94153, best error:      1255.73645 on epoch:    22, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 31.5913715363s, input_fired_time: 0.3796693683, output_fired_time: 0.2825324535, propagate_forward_time: 11.1196546555, propagate_backward_time: 18.3443679810, weight_update_time: 0.0712255314, other_time: 1.4651489258
epoch time: 2.5273571014s, input_fired_time: 0.0435675122, output_fired_time: 0.0000000000, propagate_forward_time: 2.2217850685, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2620046139
validation[          , genome  4479] predictions:    9649/  10000 (96.49%), best:    9649/10000 (96.49%), error:      1198.22913, best error:      1198.22913 on epoch:    27, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 31.6534156799s, input_fired_time: 0.3794710636, output_fired_time: 0.2823793590, propagate_forward_time: 11.1373214722, propagate_backward_time: 18.3848896027, weight_update_time: 0.0714513659, other_time: 1.4693546295
epoch time: 2.5585546494s, input_fired_time: 0.0443493426, output_fired_time: 0.0000000000, propagate_forward_time: 2.2496893406, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2645158768
validation[          , genome  4479] predictions:    9604/  10000 (96.04%), best:    9649/10000 (96.49%), error:      1287.88623, best error:      1198.22913 on epoch:    27, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 42.0966758728s, input_fired_time: 0.3821781874, output_fired_time: 0.2831425369, propagate_forward_time: 15.7009038925, propagate_backward_time: 23.9993724823, weight_update_time: 0.3219515681, other_time: 1.7310771942
epoch time: 3.5714609623s, input_fired_time: 0.2945121527, output_fired_time: 0.0000000000, propagate_forward_time: 2.7612297535, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5157191753
validation[          , genome  4479] predictions:    9614/  10000 (96.14%), best:    9649/10000 (96.49%), error:      1277.96704, best error:      1198.22913 on epoch:    27, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 42.4476318359s, input_fired_time: 0.3852008879, output_fired_time: 0.2853260934, propagate_forward_time: 14.4913864136, propagate_backward_time: 25.5479125977, weight_update_time: 0.0724324286, other_time: 1.7378044128
epoch time: 3.5972912312s, input_fired_time: 0.0458285287, output_fired_time: 0.0000000000, propagate_forward_time: 3.2843000889, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2671625614
validation[          , genome  4479] predictions:    9637/  10000 (96.37%), best:    9649/10000 (96.49%), error:      1258.77661, best error:      1198.22913 on epoch:    27, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 42.4865264893s, input_fired_time: 0.3852330744, output_fired_time: 0.7852596641, propagate_forward_time: 14.0171594620, propagate_backward_time: 24.3036575317, weight_update_time: 0.0725742131, other_time: 2.9952163696
epoch time: 3.3996987343s, input_fired_time: 0.0455617905, output_fired_time: 0.0000000000, propagate_forward_time: 3.0789539814, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2751829624
validation[          , genome  4479] predictions:    9653/  10000 (96.53%), best:    9653/10000 (96.53%), error:      1169.86768, best error:      1169.86768 on epoch:    31, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 42.8288383484s, input_fired_time: 0.6361300945, output_fired_time: 0.5362213850, propagate_forward_time: 16.0497398376, propagate_backward_time: 23.8683013916, weight_update_time: 0.0723734722, other_time: 1.7384452820
epoch time: 3.3335506916s, input_fired_time: 0.0445065275, output_fired_time: 0.0000000000, propagate_forward_time: 3.0211036205, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2679405212
validation[          , genome  4479] predictions:    9602/  10000 (96.02%), best:    9653/10000 (96.53%), error:      1339.07056, best error:      1169.86768 on epoch:    31, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 42.7197647095s, input_fired_time: 0.6352741718, output_fired_time: 0.2843891978, propagate_forward_time: 15.4831676483, propagate_backward_time: 24.3280944824, weight_update_time: 0.0723796412, other_time: 1.9888401031
epoch time: 3.3104140759s, input_fired_time: 0.0446872562, output_fired_time: 0.0000000000, propagate_forward_time: 2.7500822544, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5156445503
validation[          , genome  4479] predictions:    9650/  10000 (96.50%), best:    9650/10000 (96.50%), error:      1131.65149, best error:      1131.65149 on epoch:    33, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 42.7768020630s, input_fired_time: 0.3861449957, output_fired_time: 0.2855226994, propagate_forward_time: 15.0453968048, propagate_backward_time: 24.5693340302, weight_update_time: 0.0725480989, other_time: 2.4904022217
epoch time: 3.2884087563s, input_fired_time: 0.0438982882, output_fired_time: 0.0000000000, propagate_forward_time: 2.9812512398, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2632591724
validation[          , genome  4479] predictions:    9600/  10000 (96.00%), best:    9650/10000 (96.50%), error:      1273.09583, best error:      1131.65149 on epoch:    33, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 42.4709663391s, input_fired_time: 0.6344251037, output_fired_time: 0.2848294973, propagate_forward_time: 14.2445430756, propagate_backward_time: 25.5670661926, weight_update_time: 0.0724728554, other_time: 1.7401027679
epoch time: 3.2813811302s, input_fired_time: 0.0440826118, output_fired_time: 0.0000000000, propagate_forward_time: 2.9750792980, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2622191906
validation[          , genome  4479] predictions:    9621/  10000 (96.21%), best:    9650/10000 (96.50%), error:      1204.81970, best error:      1131.65149 on epoch:    33, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 42.5930290222s, input_fired_time: 0.3871174455, output_fired_time: 0.5362495184, propagate_forward_time: 14.5642251968, propagate_backward_time: 25.6133785248, weight_update_time: 0.0724830776, other_time: 1.4920558929
epoch time: 3.3083813190s, input_fired_time: 0.0438777842, output_fired_time: 0.0000000000, propagate_forward_time: 2.9990885258, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2654149532
validation[          , genome  4479] predictions:    9615/  10000 (96.15%), best:    9650/10000 (96.50%), error:      1291.82971, best error:      1131.65149 on epoch:    33, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 42.3030471802s, input_fired_time: 0.3841554224, output_fired_time: 0.5336709619, propagate_forward_time: 15.6928834915, propagate_backward_time: 23.9560928345, weight_update_time: 0.0720749646, other_time: 1.7362442017
epoch time: 3.2783322334s, input_fired_time: 0.0448408760, output_fired_time: 0.0000000000, propagate_forward_time: 2.9721136093, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2613778114
validation[          , genome  4479] predictions:    9637/  10000 (96.37%), best:    9650/10000 (96.50%), error:      1245.52966, best error:      1131.65149 on epoch:    33, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 42.5243377686s, input_fired_time: 0.6340619922, output_fired_time: 0.5330284238, propagate_forward_time: 15.1948976517, propagate_backward_time: 24.6792240143, weight_update_time: 0.0721005723, other_time: 1.4831256866
epoch time: 3.2810366154s, input_fired_time: 0.0443032719, output_fired_time: 0.0000000000, propagate_forward_time: 2.9743111134, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2624223232
validation[          , genome  4479] predictions:    9650/  10000 (96.50%), best:    9650/10000 (96.50%), error:      1153.42822, best error:      1131.65149 on epoch:    33, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 42.2633895874s, input_fired_time: 0.3841031194, output_fired_time: 0.2831614614, propagate_forward_time: 14.9285001755, propagate_backward_time: 24.6800937653, weight_update_time: 0.0722588152, other_time: 1.9875316620
epoch time: 3.5286829472s, input_fired_time: 0.0434697345, output_fired_time: 0.0000000000, propagate_forward_time: 3.2226712704, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2625420094
validation[          , genome  4479] predictions:    9618/  10000 (96.18%), best:    9650/10000 (96.50%), error:      1250.98901, best error:      1131.65149 on epoch:    33, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 42.3496017456s, input_fired_time: 0.3843971491, output_fired_time: 0.2836580575, propagate_forward_time: 15.2117729187, propagate_backward_time: 24.4816303253, weight_update_time: 0.0720406696, other_time: 1.9881458282
epoch time: 3.5326638222s, input_fired_time: 0.0451112241, output_fired_time: 0.0000000000, propagate_forward_time: 3.2252120972, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2623405457
validation[          , genome  4479] predictions:    9644/  10000 (96.44%), best:    9650/10000 (96.50%), error:      1211.13586, best error:      1131.65149 on epoch:    33, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 42.3365173340s, input_fired_time: 0.3846157491, output_fired_time: 0.2829094529, propagate_forward_time: 14.1911268234, propagate_backward_time: 25.4921493530, weight_update_time: 0.0720678121, other_time: 1.9857139587
epoch time: 3.2843482494s, input_fired_time: 0.0440165401, output_fired_time: 0.0000000000, propagate_forward_time: 2.7274973392, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5128343105
validation[          , genome  4479] predictions:    9653/  10000 (96.53%), best:    9650/10000 (96.50%), error:      1188.54163, best error:      1131.65149 on epoch:    33, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 42.3077430725s, input_fired_time: 0.3843775988, output_fired_time: 0.2835945487, propagate_forward_time: 15.4494333267, propagate_backward_time: 24.2052001953, weight_update_time: 0.0720217675, other_time: 1.9851379395
epoch time: 3.5316002369s, input_fired_time: 0.2934283316, output_fired_time: 0.0000000000, propagate_forward_time: 2.9757201672, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2624516487
validation[          , genome  4479] predictions:    9627/  10000 (96.27%), best:    9650/10000 (96.50%), error:      1221.45227, best error:      1131.65149 on epoch:    33, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 42.2714462280s, input_fired_time: 0.3842316270, output_fired_time: 0.2828019559, propagate_forward_time: 15.4194793701, propagate_backward_time: 24.4478874207, weight_update_time: 0.0720811561, other_time: 1.7370452881
epoch time: 3.3034191132s, input_fired_time: 0.0449059084, output_fired_time: 0.0000000000, propagate_forward_time: 2.7446765900, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5138366222
validation[          , genome  4479] predictions:    9642/  10000 (96.42%), best:    9650/10000 (96.50%), error:      1215.80762, best error:      1131.65149 on epoch:    33, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 42.3414916992s, input_fired_time: 0.6346389651, output_fired_time: 0.5329110622, propagate_forward_time: 14.4541730881, propagate_backward_time: 23.9787521362, weight_update_time: 0.0725649893, other_time: 2.7410163879
epoch time: 3.5282940865s, input_fired_time: 0.0444932282, output_fired_time: 0.0000000000, propagate_forward_time: 2.9719684124, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5118324757
validation[          , genome  4479] predictions:    9648/  10000 (96.48%), best:    9650/10000 (96.50%), error:      1169.72009, best error:      1131.65149 on epoch:    33, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 42.2011451721s, input_fired_time: 0.3841210306, output_fired_time: 0.5325453281, propagate_forward_time: 15.4107494354, propagate_backward_time: 24.1504116058, weight_update_time: 0.0714882240, other_time: 1.7233161926
epoch time: 3.3409876823s, input_fired_time: 0.0456431881, output_fired_time: 0.0000000000, propagate_forward_time: 3.0287084579, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2666361332
validation[          , genome  4479] predictions:    9641/  10000 (96.41%), best:    9650/10000 (96.50%), error:      1180.60303, best error:      1131.65149 on epoch:    33, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 42.1219177246s, input_fired_time: 0.3854304552, output_fired_time: 0.2822478414, propagate_forward_time: 14.6287965775, propagate_backward_time: 25.3531494141, weight_update_time: 0.0715317726, other_time: 1.4722938538
epoch time: 3.5311625004s, input_fired_time: 0.2949260771, output_fired_time: 0.0000000000, propagate_forward_time: 2.9740054607, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2622308731
validation[          , genome  4479] predictions:    9555/  10000 (95.55%), best:    9650/10000 (96.50%), error:      1490.96655, best error:      1131.65149 on epoch:    33, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 42.1945762634s, input_fired_time: 0.3855943084, output_fired_time: 0.2824244797, propagate_forward_time: 14.4139986038, propagate_backward_time: 25.3845119476, weight_update_time: 0.0717360452, other_time: 1.7280483246
epoch time: 3.2792005539s, input_fired_time: 0.0443349965, output_fired_time: 0.0000000000, propagate_forward_time: 2.9730014801, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2618641853
validation[          , genome  4479] predictions:    9457/  10000 (94.57%), best:    9650/10000 (96.50%), error:      1757.35828, best error:      1131.65149 on epoch:    33, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 42.1602478027s, input_fired_time: 0.3840335906, output_fired_time: 0.5324733257, propagate_forward_time: 15.8912134171, propagate_backward_time: 23.3801975250, weight_update_time: 0.0714718550, other_time: 1.9723300934
epoch time: 3.2817425728s, input_fired_time: 0.0442126431, output_fired_time: 0.0000000000, propagate_forward_time: 2.9756162167, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2619137764
validation[          , genome  4479] predictions:    9662/  10000 (96.62%), best:    9650/10000 (96.50%), error:      1133.78064, best error:      1131.65149 on epoch:    33, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 42.3098335266s, input_fired_time: 0.3849358261, output_fired_time: 0.2829488516, propagate_forward_time: 15.1828079224, propagate_backward_time: 23.4659175873, weight_update_time: 0.0717554688, other_time: 2.9932231903
epoch time: 3.5280244350s, input_fired_time: 0.2946335971, output_fired_time: 0.0000000000, propagate_forward_time: 2.9711773396, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2622134686
validation[          , genome  4479] predictions:    9639/  10000 (96.39%), best:    9650/10000 (96.50%), error:      1176.22021, best error:      1131.65149 on epoch:    33, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 42.2132034302s, input_fired_time: 0.6364623308, output_fired_time: 0.2823463082, propagate_forward_time: 15.4109468460, propagate_backward_time: 24.4093132019, weight_update_time: 0.0714984611, other_time: 1.4741363525
epoch time: 3.2820148468s, input_fired_time: 0.2942366898, output_fired_time: 0.0000000000, propagate_forward_time: 2.7256181240, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2621600628
validation[          , genome  4479] predictions:    9521/  10000 (95.21%), best:    9650/10000 (96.50%), error:      1565.62280, best error:      1131.65149 on epoch:    33, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 42.5308265686s, input_fired_time: 0.3859091103, output_fired_time: 0.2832324207, propagate_forward_time: 15.4491682053, propagate_backward_time: 24.4341049194, weight_update_time: 0.0717601031, other_time: 1.9784088135
epoch time: 3.2884454727s, input_fired_time: 0.0448833667, output_fired_time: 0.0000000000, propagate_forward_time: 2.7312211990, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5123410225
validation[          , genome  4479] predictions:    9653/  10000 (96.53%), best:    9650/10000 (96.50%), error:      1142.75049, best error:      1131.65149 on epoch:    33, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 42.1914367676s, input_fired_time: 0.3846556246, output_fired_time: 0.2824884653, propagate_forward_time: 14.4006595612, propagate_backward_time: 25.3975811005, weight_update_time: 0.0717647001, other_time: 1.7260513306
epoch time: 3.5514996052s, input_fired_time: 0.0452243723, output_fired_time: 0.0000000000, propagate_forward_time: 3.2428290844, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2634460926
validation[          , genome  4479] predictions:    9605/  10000 (96.05%), best:    9650/10000 (96.50%), error:      1275.90051, best error:      1131.65149 on epoch:    33, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 42.2688026428s, input_fired_time: 0.3854335248, output_fired_time: 0.2828541696, propagate_forward_time: 14.9228658676, propagate_backward_time: 24.9511089325, weight_update_time: 0.0718082488, other_time: 1.7265377045
epoch time: 3.3037912846s, input_fired_time: 0.0451941714, output_fired_time: 0.0000000000, propagate_forward_time: 2.9948699474, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2637271881
validation[          , genome  4479] predictions:    9638/  10000 (96.38%), best:    9650/10000 (96.50%), error:      1225.09119, best error:      1131.65149 on epoch:    33, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 42.8390960693s, input_fired_time: 0.6405976415, output_fired_time: 0.2859253287, propagate_forward_time: 14.7877140045, propagate_backward_time: 25.1322937012, weight_update_time: 0.3223894835, other_time: 1.9925632477
epoch time: 3.3221111298s, input_fired_time: 0.2959451675, output_fired_time: 0.0000000000, propagate_forward_time: 2.7586731911, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2674927711
validation[          , genome  4479] predictions:    9637/  10000 (96.37%), best:    9650/10000 (96.50%), error:      1168.23230, best error:      1131.65149 on epoch:    33, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 42.5007362366s, input_fired_time: 0.3911489844, output_fired_time: 0.2845089734, propagate_forward_time: 16.5233688354, propagate_backward_time: 22.8165607452, weight_update_time: 0.0722408742, other_time: 2.4851512909
epoch time: 3.5586705208s, input_fired_time: 0.0460272133, output_fired_time: 0.0000000000, propagate_forward_time: 3.2474629879, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2651803493
validation[          , genome  4479] predictions:    9614/  10000 (96.14%), best:    9650/10000 (96.50%), error:      1272.15955, best error:      1131.65149 on epoch:    33, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 42.3865242004s, input_fired_time: 0.3886028528, output_fired_time: 0.2841044068, propagate_forward_time: 13.9702386856, propagate_backward_time: 25.2602272034, weight_update_time: 0.0720960274, other_time: 2.4833526611
epoch time: 3.5512359142s, input_fired_time: 0.0453293286, output_fired_time: 0.0000000000, propagate_forward_time: 2.9919929504, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5139136314
validation[          , genome  4479] predictions:    9632/  10000 (96.32%), best:    9650/10000 (96.50%), error:      1211.57751, best error:      1131.65149 on epoch:    33, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 42.3948326111s, input_fired_time: 0.3896533847, output_fired_time: 0.2841050029, propagate_forward_time: 15.7381696701, propagate_backward_time: 23.7532939911, weight_update_time: 0.0718461499, other_time: 2.2296123505
epoch time: 3.2955765724s, input_fired_time: 0.0455136634, output_fired_time: 0.0000000000, propagate_forward_time: 2.9869468212, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2631161213
validation[          , genome  4479] predictions:    9618/  10000 (96.18%), best:    9650/10000 (96.50%), error:      1230.75659, best error:      1131.65149 on epoch:    33, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

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_4479.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4479_1_r1127698891_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: 0.964987
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000638085
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.55234e-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: 58
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 33
read number_validation_images: 10000
read best_validation_predictions: 9650
read best_validation_error: 1131.65
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: 4479
read normal distribution: '1 0 0'
generator_str: '537832817'
read generator: 537832817
read generated_by_map:
1 enable_node 1
reading 19 nodes.
reading 43 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: 55.885082244873s, input_fired_time: 0.45013427734375, output_fired_time: 0.612700641155243, propagate_forward_time: 20.5552654266357, propagate_backward_time: 31.706392288208, weight_update_time: 0.341094493865967, other_time: 2.56059074401855
epoch time: 6.54384422302246s, input_fired_time: 0.0710052251815796, output_fired_time: 0, propagate_forward_time: 5.81222438812256, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.660614490509033
validation[          , genome  4479] predictions:    9580/  10000 (95.80%), best:    9650/10000 (96.50%), error:      1372.13403, best error:      1131.65149 on epoch:    33, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 54.4326400757s, input_fired_time: 0.4426509142, output_fired_time: 0.6037962437, propagate_forward_time: 19.3313350677, propagate_backward_time: 32.0403785706, weight_update_time: 0.0888843760, other_time: 2.0144767761
epoch time: 4.7554154396s, input_fired_time: 0.0566986054, output_fired_time: 0.0000000000, propagate_forward_time: 4.3761196136, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3225970268
validation[          , genome  4479] predictions:    9648/  10000 (96.48%), best:    9650/10000 (96.50%), error:      1218.93103, best error:      1131.65149 on epoch:    33, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 54.8569984436s, input_fired_time: 0.6932684183, output_fired_time: 0.6056617498, propagate_forward_time: 19.6486225128, propagate_backward_time: 31.6393985748, weight_update_time: 0.0892760977, other_time: 2.2700481415
epoch time: 4.5010809898s, input_fired_time: 0.0526982807, output_fired_time: 0.0000000000, propagate_forward_time: 4.1419386864, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3064441681
validation[          , genome  4479] predictions:    9581/  10000 (95.81%), best:    9650/10000 (96.50%), error:      1355.08081, best error:      1131.65149 on epoch:    33, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 48.3544273376s, input_fired_time: 0.6668261290, output_fired_time: 0.5688077211, propagate_forward_time: 17.7563571930, propagate_backward_time: 27.4923076630, weight_update_time: 0.0802145377, other_time: 1.8701286316
epoch time: 4.1010742188s, input_fired_time: 0.3016883135, output_fired_time: 0.0000000000, propagate_forward_time: 3.5031359196, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2962501049
validation[          , genome  4479] predictions:    9621/  10000 (96.21%), best:    9650/10000 (96.50%), error:      1221.96252, best error:      1131.65149 on epoch:    33, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 57.9856109619s, input_fired_time: 0.9593073726, output_fired_time: 0.8717252016, propagate_forward_time: 20.0989456177, propagate_backward_time: 33.1989059448, weight_update_time: 0.0939722136, other_time: 2.8567237854
epoch time: 4.5615906715s, input_fired_time: 0.0548676774, output_fired_time: 0.0000000000, propagate_forward_time: 3.9448790550, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5618438721
validation[          , genome  4479] predictions:    9664/  10000 (96.64%), best:    9650/10000 (96.50%), error:      1155.87378, best error:      1131.65149 on epoch:    33, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 55.4029693604s, input_fired_time: 0.4494712949, output_fired_time: 0.3594639897, propagate_forward_time: 18.6226539612, propagate_backward_time: 33.4359397888, weight_update_time: 0.0901464447, other_time: 2.5354423523
epoch time: 4.0613551140s, input_fired_time: 0.0512451716, output_fired_time: 0.0000000000, propagate_forward_time: 3.4675834179, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5425264835
validation[          , genome  4479] predictions:    9616/  10000 (96.16%), best:    9650/10000 (96.50%), error:      1240.20972, best error:      1131.65149 on epoch:    33, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 59.4922218323s, input_fired_time: 0.4657004774, output_fired_time: 0.6326273084, propagate_forward_time: 22.3564548492, propagate_backward_time: 34.1549034119, weight_update_time: 0.0956802592, other_time: 1.8825340271
epoch time: 5.1885604858s, input_fired_time: 0.0610455945, output_fired_time: 0.0000000000, propagate_forward_time: 4.7757220268, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3517928123
validation[          , genome  4479] predictions:    9587/  10000 (95.87%), best:    9650/10000 (96.50%), error:      1305.73889, best error:      1131.65149 on epoch:    33, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 56.1945724487s, input_fired_time: 0.7027698755, output_fired_time: 0.6142421961, propagate_forward_time: 20.8274154663, propagate_backward_time: 31.5039482117, weight_update_time: 0.0909426734, other_time: 2.5461959839
epoch time: 3.7892343998s, input_fired_time: 0.0489846468, output_fired_time: 0.0000000000, propagate_forward_time: 2.9657545090, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7744951248
validation[          , genome  4479] predictions:    9625/  10000 (96.25%), best:    9650/10000 (96.50%), error:      1224.09277, best error:      1131.65149 on epoch:    33, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 63.9428291321s, input_fired_time: 0.7338076234, output_fired_time: 0.4082468748, propagate_forward_time: 22.3749389648, propagate_backward_time: 37.4421348572, weight_update_time: 0.1018873900, other_time: 2.9837036133
epoch time: 3.9438533783s, input_fired_time: 0.0503286980, output_fired_time: 0.0000000000, propagate_forward_time: 3.3584401608, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5350844860
validation[          , genome  4479] predictions:    9611/  10000 (96.11%), best:    9650/10000 (96.50%), error:      1303.12708, best error:      1131.65149 on epoch:    33, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 59.6651573181s, input_fired_time: 0.4713755548, output_fired_time: 0.6390082240, propagate_forward_time: 23.3507404327, propagate_backward_time: 32.7966499329, weight_update_time: 0.0973801762, other_time: 2.4073829651
epoch time: 3.2134997845s, input_fired_time: 0.0529092252, output_fired_time: 0.0000000000, propagate_forward_time: 2.8531723022, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3074183464
validation[          , genome  4479] predictions:    9644/  10000 (96.44%), best:    9650/10000 (96.50%), error:      1213.53540, best error:      1131.65149 on epoch:    33, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 39.5821685791s, input_fired_time: 0.4396806359, output_fired_time: 0.3438179493, propagate_forward_time: 14.2815189362, propagate_backward_time: 22.7909297943, weight_update_time: 0.0860264301, other_time: 1.7262191772
epoch time: 2.8903417587s, input_fired_time: 0.0497255325, output_fired_time: 0.0000000000, propagate_forward_time: 2.5575568676, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2830593586
validation[          , genome  4479] predictions:    9590/  10000 (95.90%), best:    9650/10000 (96.50%), error:      1299.58191, best error:      1131.65149 on epoch:    33, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 40.8593139648s, input_fired_time: 0.4468322098, output_fired_time: 0.3542439342, propagate_forward_time: 14.8062810898, propagate_backward_time: 23.5154037476, weight_update_time: 0.0879710615, other_time: 1.7365531921
epoch time: 2.7570102215s, input_fired_time: 0.0474783368, output_fired_time: 0.0000000000, propagate_forward_time: 2.4378693104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2716624737
validation[          , genome  4479] predictions:    9584/  10000 (95.84%), best:    9650/10000 (96.50%), error:      1316.85205, best error:      1131.65149 on epoch:    33, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 35.7539405823s, input_fired_time: 0.4157000184, output_fired_time: 0.3134281337, propagate_forward_time: 12.7507724762, propagate_backward_time: 20.6932220459, weight_update_time: 0.0786595270, other_time: 1.5808200836
epoch time: 2.5259714127s, input_fired_time: 0.0457333699, output_fired_time: 0.0000000000, propagate_forward_time: 2.2231121063, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2571258545
validation[          , genome  4479] predictions:    9653/  10000 (96.53%), best:    9650/10000 (96.50%), error:      1146.91492, best error:      1131.65149 on epoch:    33, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 36.0287399292s, input_fired_time: 0.4187403917, output_fired_time: 0.3165234625, propagate_forward_time: 12.8911113739, propagate_backward_time: 20.8145751953, weight_update_time: 0.0791664496, other_time: 1.5877895355
epoch time: 2.5570521355s, input_fired_time: 0.0465044864, output_fired_time: 0.0000000000, propagate_forward_time: 2.2500588894, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2604887486
validation[          , genome  4479] predictions:    9637/  10000 (96.37%), best:    9650/10000 (96.50%), error:      1178.86694, best error:      1131.65149 on epoch:    33, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 36.3172607422s, input_fired_time: 0.4194247425, output_fired_time: 0.3178060949, propagate_forward_time: 12.9973773956, propagate_backward_time: 20.9847068787, weight_update_time: 0.0795462877, other_time: 1.5979442596
epoch time: 2.5246663094s, input_fired_time: 0.0463994890, output_fired_time: 0.0000000000, propagate_forward_time: 2.2222073078, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2560594082
validation[          , genome  4479] predictions:    9673/  10000 (96.73%), best:    9673/10000 (96.73%), error:      1112.26599, best error:      1112.26599 on epoch:    72, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 33.8202781677s, input_fired_time: 0.4064647555, output_fired_time: 0.2989328802, propagate_forward_time: 12.0215816498, propagate_backward_time: 19.5679988861, weight_update_time: 0.0751066729, other_time: 1.5253028870
epoch time: 2.5695853233s, input_fired_time: 0.0464752652, output_fired_time: 0.0000000000, propagate_forward_time: 2.2638409138, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2592692375
validation[          , genome  4479] predictions:    9578/  10000 (95.78%), best:    9673/10000 (96.73%), error:      1380.49292, best error:      1112.26599 on epoch:    72, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 36.5781936646s, input_fired_time: 0.4230157137, output_fired_time: 0.3211967349, propagate_forward_time: 13.0981197357, propagate_backward_time: 21.1308155060, weight_update_time: 0.0801157579, other_time: 1.6050453186
epoch time: 3.9523746967s, input_fired_time: 0.0625150576, output_fired_time: 0.0000000000, propagate_forward_time: 3.5403931141, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3494665623
validation[          , genome  4479] predictions:    9641/  10000 (96.41%), best:    9673/10000 (96.73%), error:      1182.31750, best error:      1112.26599 on epoch:    72, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 35.7983818054s, input_fired_time: 0.4187561274, output_fired_time: 0.3153947294, propagate_forward_time: 12.7841634750, propagate_backward_time: 20.6966495514, weight_update_time: 0.0788110867, other_time: 1.5834178925
epoch time: 2.5258934498s, input_fired_time: 0.0451563373, output_fired_time: 0.0000000000, propagate_forward_time: 2.2239029408, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2568342686
validation[          , genome  4479] predictions:    9640/  10000 (96.40%), best:    9673/10000 (96.73%), error:      1201.46655, best error:      1112.26599 on epoch:    72, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 40.6894874573s, input_fired_time: 0.4463432729, output_fired_time: 0.3518992066, propagate_forward_time: 14.7419557571, propagate_backward_time: 23.4122180939, weight_update_time: 0.0878910571, other_time: 1.7370738983
epoch time: 3.8700699806s, input_fired_time: 0.0608510301, output_fired_time: 0.0000000000, propagate_forward_time: 3.4620916843, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3471271992
validation[          , genome  4479] predictions:    9617/  10000 (96.17%), best:    9673/10000 (96.73%), error:      1253.08777, best error:      1112.26599 on epoch:    72, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 39.2394905090s, input_fired_time: 0.4397476912, output_fired_time: 0.3416251838, propagate_forward_time: 14.1584978104, propagate_backward_time: 22.6087608337, weight_update_time: 0.0852076709, other_time: 1.6908607483
epoch time: 2.9303495884s, input_fired_time: 0.0503266230, output_fired_time: 0.0000000000, propagate_forward_time: 2.5978055000, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2822175026
validation[          , genome  4479] predictions:    9645/  10000 (96.45%), best:    9673/10000 (96.73%), error:      1239.93359, best error:      1112.26599 on epoch:    72, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 39.1404800415s, input_fired_time: 0.4382454455, output_fired_time: 0.3406195045, propagate_forward_time: 14.1260223389, propagate_backward_time: 22.5484752655, weight_update_time: 0.0850320905, other_time: 1.6871204376
epoch time: 2.6625638008s, input_fired_time: 0.0477061756, output_fired_time: 0.0000000000, propagate_forward_time: 2.3491673470, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2656903267
validation[          , genome  4479] predictions:    9597/  10000 (95.97%), best:    9673/10000 (96.73%), error:      1268.07849, best error:      1112.26599 on epoch:    72, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 43.1648406982s, input_fired_time: 0.4614705741, output_fired_time: 0.3718331158, propagate_forward_time: 15.7309446335, propagate_backward_time: 24.7914371490, weight_update_time: 0.0922145844, other_time: 1.8091526031
epoch time: 3.6660795212s, input_fired_time: 0.0585172735, output_fired_time: 0.0000000000, propagate_forward_time: 3.2747843266, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3327779770
validation[          , genome  4479] predictions:    9612/  10000 (96.12%), best:    9673/10000 (96.73%), error:      1255.93958, best error:      1112.26599 on epoch:    72, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 38.9794769287s, input_fired_time: 0.4371508062, output_fired_time: 0.3408169150, propagate_forward_time: 14.0548353195, propagate_backward_time: 22.4629783630, weight_update_time: 0.0845840350, other_time: 1.6836967468
epoch time: 3.2389371395s, input_fired_time: 0.0539445020, output_fired_time: 0.0000000000, propagate_forward_time: 2.8806447983, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3043477535
validation[          , genome  4479] predictions:    9594/  10000 (95.94%), best:    9673/10000 (96.73%), error:      1300.26868, best error:      1112.26599 on epoch:    72, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 38.2801094055s, input_fired_time: 0.4357775450, output_fired_time: 0.3341332674, propagate_forward_time: 13.7902936935, propagate_backward_time: 22.0612792969, weight_update_time: 0.0833905712, other_time: 1.6586265564
epoch time: 2.8151192665s, input_fired_time: 0.0482714176, output_fired_time: 0.0000000000, propagate_forward_time: 2.4916081429, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2752397060
validation[          , genome  4479] predictions:    9615/  10000 (96.15%), best:    9673/10000 (96.73%), error:      1278.44775, best error:      1112.26599 on epoch:    72, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 38.6001167297s, input_fired_time: 0.4360443056, output_fired_time: 0.3355664611, propagate_forward_time: 13.9122285843, propagate_backward_time: 22.2456474304, weight_update_time: 0.0837750882, other_time: 1.6706314087
epoch time: 2.5234799385s, input_fired_time: 0.0464035943, output_fired_time: 0.0000000000, propagate_forward_time: 2.2209255695, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2561507225
validation[          , genome  4479] predictions:    9623/  10000 (96.23%), best:    9673/10000 (96.73%), error:      1216.55920, best error:      1112.26599 on epoch:    72, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 40.2263412476s, input_fired_time: 0.4462117851, output_fired_time: 0.3493965268, propagate_forward_time: 14.5600061417, propagate_backward_time: 23.1556797028, weight_update_time: 0.0869966894, other_time: 1.7150478363
epoch time: 4.1348114014s, input_fired_time: 0.0634223670, output_fired_time: 0.0000000000, propagate_forward_time: 3.7087574005, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3626317978
validation[          , genome  4479] predictions:    9632/  10000 (96.32%), best:    9673/10000 (96.73%), error:      1230.14270, best error:      1112.26599 on epoch:    72, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 37.9881629944s, input_fired_time: 0.4334959984, output_fired_time: 0.3326091170, propagate_forward_time: 13.6563167572, propagate_backward_time: 21.9092350006, weight_update_time: 0.0829896331, other_time: 1.6565093994
epoch time: 2.5471487045s, input_fired_time: 0.0469545275, output_fired_time: 0.0000000000, propagate_forward_time: 2.2421615124, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2580325603
validation[          , genome  4479] predictions:    9644/  10000 (96.44%), best:    9673/10000 (96.73%), error:      1208.14795, best error:      1112.26599 on epoch:    72, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 36.0070266724s, input_fired_time: 0.4209742844, output_fired_time: 0.3165003061, propagate_forward_time: 12.8706588745, propagate_backward_time: 20.8084430695, weight_update_time: 0.0790318027, other_time: 1.5904483795
epoch time: 2.5236642361s, input_fired_time: 0.0456079356, output_fired_time: 0.0000000000, propagate_forward_time: 2.2218236923, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2562325001
validation[          , genome  4479] predictions:    9639/  10000 (96.39%), best:    9673/10000 (96.73%), error:      1178.29297, best error:      1112.26599 on epoch:    72, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 38.3153038025s, input_fired_time: 0.4331725240, output_fired_time: 0.3333834112, propagate_forward_time: 13.7971706390, propagate_backward_time: 22.0881404877, weight_update_time: 0.0831800774, other_time: 1.6634368896
epoch time: 2.8819711208s, input_fired_time: 0.0504577309, output_fired_time: 0.0000000000, propagate_forward_time: 2.5516309738, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2798824310
validation[          , genome  4479] predictions:    9651/  10000 (96.51%), best:    9673/10000 (96.73%), error:      1175.77161, best error:      1112.26599 on epoch:    72, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 40.5250396729s, input_fired_time: 0.4495010972, output_fired_time: 0.3515312970, propagate_forward_time: 14.6568641663, propagate_backward_time: 23.3386554718, weight_update_time: 0.0875409171, other_time: 1.7284870148
epoch time: 3.7520844936s, input_fired_time: 0.0602325201, output_fired_time: 0.0000000000, propagate_forward_time: 3.3540353775, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3378167152
validation[          , genome  4479] predictions:    9597/  10000 (95.97%), best:    9673/10000 (96.73%), error:      1313.66125, best error:      1112.26599 on epoch:    72, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 38.2589645386s, input_fired_time: 0.4355804622, output_fired_time: 0.3340688050, propagate_forward_time: 13.7715463638, propagate_backward_time: 22.0608043671, weight_update_time: 0.0829415247, other_time: 1.6569652557
epoch time: 2.5229568481s, input_fired_time: 0.0466683246, output_fired_time: 0.0000000000, propagate_forward_time: 2.2202265263, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2560620308
validation[          , genome  4479] predictions:    9603/  10000 (96.03%), best:    9673/10000 (96.73%), error:      1326.12378, best error:      1112.26599 on epoch:    72, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 38.6669769287s, input_fired_time: 0.4367143512, output_fired_time: 0.3366025686, propagate_forward_time: 13.9318323135, propagate_backward_time: 22.2879447937, weight_update_time: 0.0839634612, other_time: 1.6738853455
epoch time: 3.3624331951s, input_fired_time: 0.0560949370, output_fired_time: 0.0000000000, propagate_forward_time: 2.9947452545, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3115930557
validation[          , genome  4479] predictions:    9244/  10000 (92.44%), best:    9673/10000 (96.73%), error:      2450.33813, best error:      1112.26599 on epoch:    72, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 35.1143264771s, input_fired_time: 0.4165652692, output_fired_time: 0.3092600405, propagate_forward_time: 12.5121412277, propagate_backward_time: 20.3121032715, weight_update_time: 0.0774619579, other_time: 1.5642547607
epoch time: 2.5333299637s, input_fired_time: 0.0472724773, output_fired_time: 0.0000000000, propagate_forward_time: 2.2289803028, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2570772171
validation[          , genome  4479] predictions:    9644/  10000 (96.44%), best:    9673/10000 (96.73%), error:      1181.29529, best error:      1112.26599 on epoch:    72, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 38.9028320313s, input_fired_time: 0.4410228133, output_fired_time: 0.3393417001, propagate_forward_time: 14.0260934830, propagate_backward_time: 22.4185390472, weight_update_time: 0.0844064355, other_time: 1.6778392792
epoch time: 3.4329967499s, input_fired_time: 0.0558276884, output_fired_time: 0.0000000000, propagate_forward_time: 3.0618093014, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3153598309
validation[          , genome  4479] predictions:    9635/  10000 (96.35%), best:    9673/10000 (96.73%), error:      1225.69299, best error:      1112.26599 on epoch:    72, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

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_4479.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4479_1_r1127698891_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: 0.985627
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000111553
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.46212e-06
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: 92
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 72
read number_validation_images: 10000
read best_validation_predictions: 9673
read best_validation_error: 1112.27
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: 4479
read normal distribution: '1 0 0'
generator_str: '979086101'
read generator: 979086101
read generated_by_map:
1 enable_node 1
reading 19 nodes.
reading 43 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: 35.535572052002s, input_fired_time: 0.42022579908371, output_fired_time: 0.312799036502838, propagate_forward_time: 12.6567916870117, propagate_backward_time: 20.5244998931885, weight_update_time: 0.0795349627733231, other_time: 1.62125587463379
epoch time: 2.53533625602722s, input_fired_time: 0.04814637824893, output_fired_time: 0, propagate_forward_time: 2.22459292411804, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.262596845626831
validation[          , genome  4479] predictions:    9530/  10000 (95.30%), best:    9673/10000 (96.73%), error:      1523.01599, best error:      1112.26599 on epoch:    72, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 39.0933494568s, input_fired_time: 0.6698737741, output_fired_time: 0.5618939996, propagate_forward_time: 14.1913709641, propagate_backward_time: 21.7992763519, weight_update_time: 0.0798886940, other_time: 1.8709354401
epoch time: 4.0335564613s, input_fired_time: 0.0521380417, output_fired_time: 0.0000000000, propagate_forward_time: 3.6832864285, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2981319427
validation[          , genome  4479] predictions:    9621/  10000 (96.21%), best:    9673/10000 (96.73%), error:      1251.64124, best error:      1112.26599 on epoch:    72, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 52.6655921936s, input_fired_time: 0.4427399039, output_fired_time: 0.5934213400, propagate_forward_time: 18.0668811798, propagate_backward_time: 31.5496387482, weight_update_time: 0.0873435885, other_time: 2.0129070282
epoch time: 4.1326642036s, input_fired_time: 0.0524836257, output_fired_time: 0.0000000000, propagate_forward_time: 3.5241446495, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5560359955
validation[          , genome  4479] predictions:    9610/  10000 (96.10%), best:    9673/10000 (96.73%), error:      1288.33557, best error:      1112.26599 on epoch:    72, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 54.8714790344s, input_fired_time: 0.9513252378, output_fired_time: 0.8539468050, propagate_forward_time: 20.1374950409, propagate_backward_time: 30.8684101105, weight_update_time: 0.0901882723, other_time: 2.0603008270
epoch time: 4.4404106140s, input_fired_time: 0.0575551391, output_fired_time: 0.0000000000, propagate_forward_time: 4.0571889877, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3256664276
validation[          , genome  4479] predictions:    9631/  10000 (96.31%), best:    9673/10000 (96.73%), error:      1255.01404, best error:      1112.26599 on epoch:    72, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 57.9065093994s, input_fired_time: 0.4659511149, output_fired_time: 0.3730741143, propagate_forward_time: 22.0458240509, propagate_backward_time: 32.6336364746, weight_update_time: 0.0941661671, other_time: 2.3880233765
epoch time: 4.2631902695s, input_fired_time: 0.0548680536, output_fired_time: 0.0000000000, propagate_forward_time: 3.8957114220, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3126106262
validation[          , genome  4479] predictions:    9615/  10000 (96.15%), best:    9673/10000 (96.73%), error:      1247.54529, best error:      1112.26599 on epoch:    72, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 53.4543647766s, input_fired_time: 0.4484094083, output_fired_time: 0.3485485017, propagate_forward_time: 18.7652168274, propagate_backward_time: 31.6093387604, weight_update_time: 0.0888064206, other_time: 2.2828502655
epoch time: 5.1854696274s, input_fired_time: 0.0623649172, output_fired_time: 0.0000000000, propagate_forward_time: 4.2611241341, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8619804382
validation[          , genome  4479] predictions:    9651/  10000 (96.51%), best:    9673/10000 (96.73%), error:      1175.25208, best error:      1112.26599 on epoch:    72, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 59.0437088013s, input_fired_time: 0.4733870029, output_fired_time: 0.3815571368, propagate_forward_time: 20.9916744232, propagate_backward_time: 34.5274314880, weight_update_time: 0.0960083604, other_time: 2.6696586609
epoch time: 4.2101345062s, input_fired_time: 0.0539776571, output_fired_time: 0.0000000000, propagate_forward_time: 3.5969157219, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5592412949
validation[          , genome  4479] predictions:    9618/  10000 (96.18%), best:    9673/10000 (96.73%), error:      1256.78674, best error:      1112.26599 on epoch:    72, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 61.9978637695s, input_fired_time: 0.4859269261, output_fired_time: 0.8983534575, propagate_forward_time: 22.6225795746, propagate_backward_time: 34.9990425110, weight_update_time: 0.1001606807, other_time: 2.9919624329
epoch time: 4.0589246750s, input_fired_time: 0.0526213720, output_fired_time: 0.0000000000, propagate_forward_time: 3.7061505318, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3001527786
validation[          , genome  4479] predictions:    9630/  10000 (96.30%), best:    9673/10000 (96.73%), error:      1237.74695, best error:      1112.26599 on epoch:    72, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 63.2958221436s, input_fired_time: 0.4917649627, output_fired_time: 0.6543571353, propagate_forward_time: 24.4499301910, propagate_backward_time: 35.4346923828, weight_update_time: 0.1018590555, other_time: 2.2650756836
epoch time: 4.3382973671s, input_fired_time: 0.0567031205, output_fired_time: 0.0000000000, propagate_forward_time: 3.9642610550, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3173332214
validation[          , genome  4479] predictions:    9600/  10000 (96.00%), best:    9673/10000 (96.73%), error:      1291.91016, best error:      1112.26599 on epoch:    72, 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: 26.0042438507s, input_fired_time: 0.3077977896, output_fired_time: 0.0000000000, propagate_forward_time: 23.3339481354, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3624973297
best training[          , genome  4479] predictions:   49148/  50000 (98.30%), best:    9673/10000 (96.73%), error:      3298.37231, best error:      1112.26599 on epoch:    72, 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: 4.8064107895s, input_fired_time: 0.0571250096, output_fired_time: 0.0000000000, propagate_forward_time: 4.1633172035, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5859684944
   testing[          , genome  4479] predictions:    9696/  10000 (96.96%), best:    9673/10000 (96.73%), error:      1022.50372, best error:      1112.26599 on epoch:    72, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
23:42:35 (11412): called boinc_finish(0)

</stderr_txt>
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