Nameexact_genome_1518178202_48_18349_1
Workunit2992018
Created9 Feb 2018, 15:25:12 UTC
Sent9 Feb 2018, 15:55:00 UTC
Report deadline11 Apr 2018, 8:25:59 UTC
Received11 Feb 2018, 14:04:37 UTC
Server stateOver
OutcomeValidate error
Client stateDone
Exit status0 (0x0)
Computer ID57657
Run time1 days 11 hours 28 min 52 sec
CPU time1 days 8 hours 52 min 23 sec
Validate stateInvalid
Credit0.00
Device peak FLOPS3.20 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size185.22 MB
Peak swap size190.32 MB
Peak disk usage8.63 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
24113, other_time: 14.3934326172
epoch time: 81.8928756714s, input_fired_time: 1.7088397741, output_fired_time: 0.0000000000, propagate_forward_time: 77.9923324585, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1917037964
validation[          , genome 18349] predictions:    9881/  10000 (98.81%), best:    9897/10000 (98.97%), error:       401.78299, best error:       312.71396 on epoch:    32, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1044.1529541016s, input_fired_time: 13.6418666840, output_fired_time: 12.4932432175, propagate_forward_time: 374.0442504883, propagate_backward_time: 631.6407470703, weight_update_time: 0.9290731549, other_time: 12.3328857422
epoch time: 80.9764328003s, input_fired_time: 1.6958063841, output_fired_time: 0.0000000000, propagate_forward_time: 77.1071853638, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1734390259
validation[          , genome 18349] predictions:    9904/  10000 (99.04%), best:    9897/10000 (98.97%), error:       314.64786, best error:       312.71396 on epoch:    32, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1041.6496582031s, input_fired_time: 13.6860628128, output_fired_time: 12.3922939301, propagate_forward_time: 375.4361572266, propagate_backward_time: 627.7607421875, weight_update_time: 0.9362186790, other_time: 12.3744506836
epoch time: 80.8098373413s, input_fired_time: 1.6990710497, output_fired_time: 0.0000000000, propagate_forward_time: 76.9138946533, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1968688965
validation[          , genome 18349] predictions:    9904/  10000 (99.04%), best:    9904/10000 (99.04%), error:       304.76926, best error:       304.76926 on epoch:    38, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1022.9560546875s, input_fired_time: 13.4853725433, output_fired_time: 12.3661499023, propagate_forward_time: 364.7843627930, propagate_backward_time: 619.9381713867, weight_update_time: 0.9347102046, other_time: 12.3820190430
epoch time: 79.9301376343s, input_fired_time: 1.6817768812, output_fired_time: 0.0000000000, propagate_forward_time: 76.0471649170, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2011947632
validation[          , genome 18349] predictions:    9909/  10000 (99.09%), best:    9909/10000 (99.09%), error:       300.01782, best error:       300.01782 on epoch:    39, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1021.4487304688s, input_fired_time: 13.3845434189, output_fired_time: 12.1866054535, propagate_forward_time: 362.1430358887, propagate_backward_time: 621.2941284180, weight_update_time: 0.9350838661, other_time: 12.4404907227
epoch time: 79.8454513550s, input_fired_time: 1.6839705706, output_fired_time: 0.0000000000, propagate_forward_time: 75.9646682739, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1968154907
validation[          , genome 18349] predictions:    9906/  10000 (99.06%), best:    9909/10000 (99.09%), error:       321.87683, best error:       300.01782 on epoch:    39, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1035.1583251953s, input_fired_time: 13.5019226074, output_fired_time: 12.3430318832, propagate_forward_time: 367.1632385254, propagate_backward_time: 629.7260131836, weight_update_time: 0.9399845600, other_time: 12.4241333008
epoch time: 81.5054702759s, input_fired_time: 1.7100495100, output_fired_time: 0.0000000000, propagate_forward_time: 77.5810623169, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2143554688
validation[          , genome 18349] predictions:    9874/  10000 (98.74%), best:    9909/10000 (99.09%), error:       373.47839, best error:       300.01782 on epoch:    39, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1040.0289306641s, input_fired_time: 13.4494504929, output_fired_time: 12.5289812088, propagate_forward_time: 366.4114685059, propagate_backward_time: 635.1514282227, weight_update_time: 0.9390611649, other_time: 12.4876098633
epoch time: 81.6938552856s, input_fired_time: 1.7083290815, output_fired_time: 0.0000000000, propagate_forward_time: 77.7696990967, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2158279419
validation[          , genome 18349] predictions:    9901/  10000 (99.01%), best:    9909/10000 (99.09%), error:       338.95212, best error:       300.01782 on epoch:    39, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1035.9981689453s, input_fired_time: 13.5699167252, output_fired_time: 12.4678735733, propagate_forward_time: 370.0083923340, propagate_backward_time: 627.6503295898, weight_update_time: 0.9248998165, other_time: 12.3015747070
epoch time: 79.4905700684s, input_fired_time: 1.6892334223, output_fired_time: 0.0000000000, propagate_forward_time: 75.6182632446, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1830749512
validation[          , genome 18349] predictions:    9894/  10000 (98.94%), best:    9909/10000 (99.09%), error:       338.56406, best error:       300.01782 on epoch:    39, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1025.1826171875s, input_fired_time: 13.6176424026, output_fired_time: 12.4983463287, propagate_forward_time: 369.0083618164, propagate_backward_time: 617.8041992188, weight_update_time: 0.9141111374, other_time: 12.2540893555
epoch time: 78.7220687866s, input_fired_time: 1.6717157364, output_fired_time: 0.0000000000, propagate_forward_time: 74.8725814819, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1777725220
validation[          , genome 18349] predictions:    9907/  10000 (99.07%), best:    9907/10000 (99.07%), error:       286.39606, best error:       286.39606 on epoch:    44, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1025.4440917969s, input_fired_time: 13.6316213608, output_fired_time: 11.9441394806, propagate_forward_time: 373.8026733398, propagate_backward_time: 613.6856689453, weight_update_time: 0.9332309365, other_time: 12.3800048828
epoch time: 81.1753311157s, input_fired_time: 1.7063004971, output_fired_time: 0.0000000000, propagate_forward_time: 77.2561645508, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2128677368
validation[          , genome 18349] predictions:    9840/  10000 (98.40%), best:    9907/10000 (99.07%), error:       510.65088, best error:       286.39606 on epoch:    44, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1038.5925292969s, input_fired_time: 13.5355348587, output_fired_time: 12.4028921127, propagate_forward_time: 368.9694824219, propagate_backward_time: 631.2186279297, weight_update_time: 0.9412897825, other_time: 12.4660034180
epoch time: 80.5497512817s, input_fired_time: 1.6924870014, output_fired_time: 0.0000000000, propagate_forward_time: 76.6306991577, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2265625000
validation[          , genome 18349] predictions:    9903/  10000 (99.03%), best:    9907/10000 (99.07%), error:       322.23679, best error:       286.39606 on epoch:    44, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1045.0682373047s, input_fired_time: 13.6741847992, output_fired_time: 12.3081626892, propagate_forward_time: 377.5976562500, propagate_backward_time: 628.9667358398, weight_update_time: 0.9444267154, other_time: 12.5214843750
epoch time: 81.3981170654s, input_fired_time: 1.7139625549, output_fired_time: 0.0000000000, propagate_forward_time: 77.4787750244, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2053833008
validation[          , genome 18349] predictions:    9910/  10000 (99.10%), best:    9907/10000 (99.07%), error:       291.59363, best error:       286.39606 on epoch:    44, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1024.0429687500s, input_fired_time: 13.4432010651, output_fired_time: 12.1986789703, propagate_forward_time: 364.1731567383, propagate_backward_time: 621.7666015625, weight_update_time: 0.9386914372, other_time: 12.4613647461
epoch time: 78.5566864014s, input_fired_time: 1.6683813334, output_fired_time: 0.0000000000, propagate_forward_time: 74.6908493042, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1974563599
validation[          , genome 18349] predictions:    9892/  10000 (98.92%), best:    9907/10000 (99.07%), error:       345.03439, best error:       286.39606 on epoch:    44, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1025.1274414063s, input_fired_time: 13.5243368149, output_fired_time: 12.5499639511, propagate_forward_time: 364.2167968750, propagate_backward_time: 622.6425170898, weight_update_time: 0.9122399092, other_time: 12.1937866211
epoch time: 80.2023773193s, input_fired_time: 1.6926397085, output_fired_time: 0.0000000000, propagate_forward_time: 76.3106689453, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1990661621
validation[          , genome 18349] predictions:    9908/  10000 (99.08%), best:    9908/10000 (99.08%), error:       269.41782, best error:       269.41782 on epoch:    49, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1039.3947753906s, input_fired_time: 13.7647781372, output_fired_time: 12.3994932175, propagate_forward_time: 377.4210205078, propagate_backward_time: 623.4236450195, weight_update_time: 0.9313967824, other_time: 12.3858642578
epoch time: 81.1423187256s, input_fired_time: 1.7105382681, output_fired_time: 0.0000000000, propagate_forward_time: 77.2331848145, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1985931396
validation[          , genome 18349] predictions:    9896/  10000 (98.96%), best:    9908/10000 (99.08%), error:       329.65073, best error:       269.41782 on epoch:    49, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 1041.9326171875s, input_fired_time: 13.6589279175, output_fired_time: 12.3723478317, propagate_forward_time: 375.9597473145, propagate_backward_time: 627.4577026367, weight_update_time: 0.9425572157, other_time: 12.4838256836
epoch time: 80.2120437622s, input_fired_time: 1.6836206913, output_fired_time: 0.0000000000, propagate_forward_time: 76.3113861084, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2170333862
validation[          , genome 18349] predictions:    9904/  10000 (99.04%), best:    9908/10000 (99.08%), error:       293.37079, best error:       269.41782 on epoch:    49, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 1029.9077148438s, input_fired_time: 13.5143680573, output_fired_time: 12.2035875320, propagate_forward_time: 369.0791931152, propagate_backward_time: 622.5842895508, weight_update_time: 0.9416447878, other_time: 12.5263061523
epoch time: 79.5558853149s, input_fired_time: 1.6851967573, output_fired_time: 0.0000000000, propagate_forward_time: 75.6696929932, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2009963989
validation[          , genome 18349] predictions:    9909/  10000 (99.09%), best:    9908/10000 (99.08%), error:       285.41699, best error:       269.41782 on epoch:    49, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 1020.0003051758s, input_fired_time: 13.5343246460, output_fired_time: 12.0992050171, propagate_forward_time: 367.2691345215, propagate_backward_time: 614.6860961914, weight_update_time: 0.9317963719, other_time: 12.4115600586
epoch time: 79.1918182373s, input_fired_time: 1.6771112680, output_fired_time: 0.0000000000, propagate_forward_time: 75.3362884521, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1784210205
validation[          , genome 18349] predictions:    9902/  10000 (99.02%), best:    9908/10000 (99.08%), error:       293.30450, best error:       269.41782 on epoch:    49, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 1020.5250244141s, input_fired_time: 13.4299144745, output_fired_time: 11.9172401428, propagate_forward_time: 363.2190856934, propagate_backward_time: 619.5338745117, weight_update_time: 0.9303172231, other_time: 12.4248657227
epoch time: 81.2724761963s, input_fired_time: 1.7160758972, output_fired_time: 0.0000000000, propagate_forward_time: 77.3628387451, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1935577393
validation[          , genome 18349] predictions:    9903/  10000 (99.03%), best:    9908/10000 (99.08%), error:       296.40723, best error:       269.41782 on epoch:    49, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 1039.4614257813s, input_fired_time: 13.6434650421, output_fired_time: 12.3511161804, propagate_forward_time: 372.2853088379, propagate_backward_time: 628.7816162109, weight_update_time: 0.9340210557, other_time: 12.3999023438
epoch time: 81.2062072754s, input_fired_time: 1.7223191261, output_fired_time: 0.0000000000, propagate_forward_time: 77.2770385742, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2068481445
validation[          , genome 18349] predictions:    9908/  10000 (99.08%), best:    9908/10000 (99.08%), error:       300.35083, best error:       269.41782 on epoch:    49, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 1036.1890869141s, input_fired_time: 13.4624757767, output_fired_time: 12.4054813385, propagate_forward_time: 364.4301452637, propagate_backward_time: 633.4722290039, weight_update_time: 0.9388677478, other_time: 12.4187622070
epoch time: 81.8198699951s, input_fired_time: 1.7174460888, output_fired_time: 0.0000000000, propagate_forward_time: 77.8748550415, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2275695801
validation[          , genome 18349] predictions:    9918/  10000 (99.18%), best:    9918/10000 (99.18%), error:       261.69699, best error:       261.69699 on epoch:    56, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 1013.7615356445s, input_fired_time: 13.2957534790, output_fired_time: 11.4643678665, propagate_forward_time: 361.1939086914, propagate_backward_time: 615.0795898438, weight_update_time: 0.9587001801, other_time: 12.7279052734
epoch time: 80.0683898926s, input_fired_time: 1.6920601130, output_fired_time: 0.0000000000, propagate_forward_time: 76.1829605103, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1933670044
validation[          , genome 18349] predictions:    9890/  10000 (98.90%), best:    9918/10000 (99.18%), error:       307.60703, best error:       261.69699 on epoch:    56, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 1013.1416625977s, input_fired_time: 13.6218996048, output_fired_time: 11.6078624725, propagate_forward_time: 374.7091674805, propagate_backward_time: 600.6617431641, weight_update_time: 0.9427092075, other_time: 12.5410156250
epoch time: 78.2921981812s, input_fired_time: 1.6606876850, output_fired_time: 0.0000000000, propagate_forward_time: 74.4407577515, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1907501221
validation[          , genome 18349] predictions:    9914/  10000 (99.14%), best:    9918/10000 (99.18%), error:       268.64337, best error:       261.69699 on epoch:    56, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 1032.6051025391s, input_fired_time: 13.5472946167, output_fired_time: 12.1329612732, propagate_forward_time: 370.0220336914, propagate_backward_time: 624.3823852539, weight_update_time: 0.9416208863, other_time: 12.5204467773
epoch time: 80.9775543213s, input_fired_time: 1.7086783648, output_fired_time: 0.0000000000, propagate_forward_time: 77.0771026611, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1917724609
validation[          , genome 18349] predictions:    9892/  10000 (98.92%), best:    9918/10000 (99.18%), error:       330.72443, best error:       261.69699 on epoch:    56, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 1040.9080810547s, input_fired_time: 13.6568756104, output_fired_time: 12.4817914963, propagate_forward_time: 370.5750427246, propagate_backward_time: 632.0005493164, weight_update_time: 0.9185729623, other_time: 12.1937866211
epoch time: 81.1401519775s, input_fired_time: 1.7122048140, output_fired_time: 0.0000000000, propagate_forward_time: 77.2272949219, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2006530762
validation[          , genome 18349] predictions:    9920/  10000 (99.20%), best:    9920/10000 (99.20%), error:       258.53540, best error:       258.53540 on epoch:    60, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 1028.8131103516s, input_fired_time: 13.5204381943, output_fired_time: 11.8366737366, propagate_forward_time: 369.3894348145, propagate_backward_time: 621.4891357422, weight_update_time: 0.9479601979, other_time: 12.5773925781
epoch time: 78.1865921021s, input_fired_time: 1.6809056997, output_fired_time: 0.0000000000, propagate_forward_time: 74.3306808472, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1750030518
validation[          , genome 18349] predictions:    9900/  10000 (99.00%), best:    9920/10000 (99.20%), error:       276.42285, best error:       258.53540 on epoch:    60, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 1018.2000732422s, input_fired_time: 13.5856351852, output_fired_time: 11.5434436798, propagate_forward_time: 372.2112426758, propagate_backward_time: 608.2714843750, weight_update_time: 0.9494509697, other_time: 12.5882568359
epoch time: 78.6196899414s, input_fired_time: 1.6759982109, output_fired_time: 0.0000000000, propagate_forward_time: 74.7766571045, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1670379639
validation[          , genome 18349] predictions:    9919/  10000 (99.19%), best:    9919/10000 (99.19%), error:       255.41344, best error:       255.41344 on epoch:    62, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 1024.0272216797s, input_fired_time: 13.5651445389, output_fired_time: 12.1079921722, propagate_forward_time: 367.6791687012, propagate_backward_time: 618.2470092773, weight_update_time: 0.9305432439, other_time: 12.4279174805
epoch time: 81.0539474487s, input_fired_time: 1.7079735994, output_fired_time: 0.0000000000, propagate_forward_time: 77.1368103027, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2091598511
validation[          , genome 18349] predictions:    9916/  10000 (99.16%), best:    9919/10000 (99.19%), error:       271.46564, best error:       255.41344 on epoch:    62, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 1039.0136718750s, input_fired_time: 13.5214128494, output_fired_time: 12.6848392487, propagate_forward_time: 365.3668518066, propagate_backward_time: 635.0970458984, weight_update_time: 0.9288189411, other_time: 12.3436279297
epoch time: 79.9375076294s, input_fired_time: 1.6954854727, output_fired_time: 0.0000000000, propagate_forward_time: 76.0610885620, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1809310913
validation[          , genome 18349] predictions:    9915/  10000 (99.15%), best:    9919/10000 (99.19%), error:       278.84079, best error:       255.41344 on epoch:    62, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 1040.9174804688s, input_fired_time: 13.6997308731, output_fired_time: 12.3442554474, propagate_forward_time: 375.2442932129, propagate_backward_time: 627.2507934570, weight_update_time: 0.9309659600, other_time: 12.3784790039
epoch time: 80.7782135010s, input_fired_time: 1.7146698236, output_fired_time: 0.0000000000, propagate_forward_time: 76.8824005127, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1811447144
validation[          , genome 18349] predictions:    9915/  10000 (99.15%), best:    9919/10000 (99.19%), error:       259.01184, best error:       255.41344 on epoch:    62, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 1028.1899414063s, input_fired_time: 13.6038236618, output_fired_time: 12.0029973984, propagate_forward_time: 368.5377197266, propagate_backward_time: 621.6226806641, weight_update_time: 0.9353736639, other_time: 12.4227294922
epoch time: 81.1282730103s, input_fired_time: 1.7216358185, output_fired_time: 0.0000000000, propagate_forward_time: 77.1839065552, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2227325439
validation[          , genome 18349] predictions:    9907/  10000 (99.07%), best:    9919/10000 (99.19%), error:       272.12595, best error:       255.41344 on epoch:    62, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 1015.9063110352s, input_fired_time: 13.4819431305, output_fired_time: 11.9325122833, propagate_forward_time: 363.9817504883, propagate_backward_time: 614.0537109375, weight_update_time: 0.9342015982, other_time: 12.4564208984
epoch time: 77.5206832886s, input_fired_time: 1.6592595577, output_fired_time: 0.0000000000, propagate_forward_time: 73.7031402588, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1582870483
validation[          , genome 18349] predictions:    9915/  10000 (99.15%), best:    9919/10000 (99.19%), error:       278.19821, best error:       255.41344 on epoch:    62, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 1025.1998291016s, input_fired_time: 13.5798120499, output_fired_time: 12.3243570328, propagate_forward_time: 368.1256103516, propagate_backward_time: 618.7332763672, weight_update_time: 0.9383290410, other_time: 12.4367675781
epoch time: 79.9865646362s, input_fired_time: 1.6982350349, output_fired_time: 0.0000000000, propagate_forward_time: 76.1250610352, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1632690430
validation[          , genome 18349] predictions:    9918/  10000 (99.18%), best:    9918/10000 (99.18%), error:       252.02597, best error:       252.02597 on epoch:    68, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 1041.3647460938s, input_fired_time: 13.6919841766, output_fired_time: 12.4511308670, propagate_forward_time: 373.9362182617, propagate_backward_time: 628.9040527344, weight_update_time: 0.9335354567, other_time: 12.3813476563
epoch time: 80.3558273315s, input_fired_time: 1.7081634998, output_fired_time: 0.0000000000, propagate_forward_time: 76.4621658325, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1855010986
validation[          , genome 18349] predictions:    9911/  10000 (99.11%), best:    9918/10000 (99.18%), error:       265.66190, best error:       252.02597 on epoch:    68, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 1032.3848876953s, input_fired_time: 13.5788717270, output_fired_time: 12.1469564438, propagate_forward_time: 367.6220397949, propagate_backward_time: 626.6389160156, weight_update_time: 0.9329016805, other_time: 12.3980712891
epoch time: 78.7637786865s, input_fired_time: 1.6801109314, output_fired_time: 0.0000000000, propagate_forward_time: 74.8868255615, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1968383789
validation[          , genome 18349] predictions:    9929/  10000 (99.29%), best:    9918/10000 (99.18%), error:       253.14523, best error:       252.02597 on epoch:    68, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 1012.9940795898s, input_fired_time: 13.4542074203, output_fired_time: 11.6619195938, propagate_forward_time: 364.3028564453, propagate_backward_time: 611.1489868164, weight_update_time: 0.9343733191, other_time: 12.4260864258
epoch time: 79.0067977905s, input_fired_time: 1.6817114353, output_fired_time: 0.0000000000, propagate_forward_time: 75.1385955811, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1864929199
validation[          , genome 18349] predictions:    9907/  10000 (99.07%), best:    9918/10000 (99.18%), error:       271.17566, best error:       252.02597 on epoch:    68, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 1011.9712524414s, input_fired_time: 13.6301193237, output_fired_time: 11.6972789764, propagate_forward_time: 371.7425842285, propagate_backward_time: 602.3620605469, weight_update_time: 0.9427573681, other_time: 12.5391845703
epoch time: 78.6403884888s, input_fired_time: 1.6838221550, output_fired_time: 0.0000000000, propagate_forward_time: 74.7794494629, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1771163940
validation[          , genome 18349] predictions:    9916/  10000 (99.16%), best:    9918/10000 (99.18%), error:       264.64972, best error:       252.02597 on epoch:    68, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 1041.2270507813s, input_fired_time: 13.6553039551, output_fired_time: 12.5561857224, propagate_forward_time: 371.6651000977, propagate_backward_time: 630.9675903320, weight_update_time: 0.9284951091, other_time: 12.3828735352
epoch time: 81.0287246704s, input_fired_time: 1.7133580446, output_fired_time: 0.0000000000, propagate_forward_time: 77.1276550293, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1877136230
validation[          , genome 18349] predictions:    9912/  10000 (99.12%), best:    9918/10000 (99.18%), error:       259.62381, best error:       252.02597 on epoch:    68, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 1036.7266845703s, input_fired_time: 13.4650545120, output_fired_time: 12.3750276566, propagate_forward_time: 362.3201293945, propagate_backward_time: 636.1459350586, weight_update_time: 0.9369600415, other_time: 12.4205932617
epoch time: 80.5484924316s, input_fired_time: 1.7086980343, output_fired_time: 0.0000000000, propagate_forward_time: 76.6539230347, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1858749390
validation[          , genome 18349] predictions:    9916/  10000 (99.16%), best:    9918/10000 (99.18%), error:       263.31400, best error:       252.02597 on epoch:    68, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 1021.8673095703s, input_fired_time: 13.4527902603, output_fired_time: 12.1889419556, propagate_forward_time: 360.4318542480, propagate_backward_time: 623.3865356445, weight_update_time: 0.9280895591, other_time: 12.4071655273
epoch time: 79.7486495972s, input_fired_time: 1.6990752220, output_fired_time: 0.0000000000, propagate_forward_time: 75.8891525269, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1604232788
validation[          , genome 18349] predictions:    9919/  10000 (99.19%), best:    9918/10000 (99.18%), error:       253.24213, best error:       252.02597 on epoch:    68, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 1020.4407958984s, input_fired_time: 13.5952091217, output_fired_time: 12.0772628784, propagate_forward_time: 368.1219177246, propagate_backward_time: 614.1511230469, weight_update_time: 0.9412873983, other_time: 12.4952392578
epoch time: 78.6288986206s, input_fired_time: 1.6909143925, output_fired_time: 0.0000000000, propagate_forward_time: 74.7695846558, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1683959961
validation[          , genome 18349] predictions:    9912/  10000 (99.12%), best:    9918/10000 (99.18%), error:       270.87537, best error:       252.02597 on epoch:    68, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 1031.9334716797s, input_fired_time: 13.6515102386, output_fired_time: 12.5602464676, propagate_forward_time: 369.0395507813, propagate_backward_time: 624.3121948242, weight_update_time: 0.9290719032, other_time: 12.3699951172
epoch time: 81.3647994995s, input_fired_time: 1.7175060511, output_fired_time: 0.0000000000, propagate_forward_time: 77.4545211792, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1927719116
validation[          , genome 18349] predictions:    9922/  10000 (99.22%), best:    9918/10000 (99.18%), error:       252.53793, best error:       252.02597 on epoch:    68, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 1040.1601562500s, input_fired_time: 13.6953296661, output_fired_time: 12.3452854156, propagate_forward_time: 374.5005493164, propagate_backward_time: 627.1931762695, weight_update_time: 0.9339352250, other_time: 12.4258422852
epoch time: 81.0438766479s, input_fired_time: 1.7163661718, output_fired_time: 0.0000000000, propagate_forward_time: 77.1263885498, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2011184692
validation[          , genome 18349] predictions:    9921/  10000 (99.21%), best:    9918/10000 (99.18%), error:       255.23640, best error:       252.02597 on epoch:    68, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 1034.5952148438s, input_fired_time: 13.5012350082, output_fired_time: 12.3996400833, propagate_forward_time: 364.4914550781, propagate_backward_time: 631.7591552734, weight_update_time: 0.9378300905, other_time: 12.4437255859
epoch time: 79.6026763916s, input_fired_time: 1.7001782656, output_fired_time: 0.0000000000, propagate_forward_time: 75.7226943970, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1798019409
validation[          , genome 18349] predictions:    9921/  10000 (99.21%), best:    9918/10000 (99.18%), error:       254.22295, best error:       252.02597 on epoch:    68, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 1016.8459472656s, input_fired_time: 13.4557752609, output_fired_time: 11.8376512527, propagate_forward_time: 362.1245422363, propagate_backward_time: 617.0122070313, weight_update_time: 0.9324018955, other_time: 12.4157714844
epoch time: 78.0510177612s, input_fired_time: 1.6800800562, output_fired_time: 0.0000000000, propagate_forward_time: 74.1980056763, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1729354858
validation[          , genome 18349] predictions:    9917/  10000 (99.17%), best:    9918/10000 (99.18%), error:       257.23108, best error:       252.02597 on epoch:    68, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 1025.6539306641s, input_fired_time: 13.6388521194, output_fired_time: 11.9055652618, propagate_forward_time: 371.0266418457, propagate_backward_time: 616.5952758789, weight_update_time: 0.9408482909, other_time: 12.4876098633
epoch time: 68.3009262085s, input_fired_time: 1.5229774714, output_fired_time: 0.0000000000, propagate_forward_time: 64.7617187500, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0162277222
validation[          , genome 18349] predictions:    9920/  10000 (99.20%), best:    9918/10000 (99.18%), error:       255.46295, best error:       252.02597 on epoch:    68, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 1034.4104003906s, input_fired_time: 13.6510667801, output_fired_time: 11.9880437851, propagate_forward_time: 373.7814025879, propagate_backward_time: 622.6238403320, weight_update_time: 0.9323859811, other_time: 12.3660278320
epoch time: 80.7457885742s, input_fired_time: 1.7105054855, output_fired_time: 0.0000000000, propagate_forward_time: 76.8551101685, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1801757813
validation[          , genome 18349] predictions:    9924/  10000 (99.24%), best:    9924/10000 (99.24%), error:       251.12151, best error:       251.12151 on epoch:    82, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 1004.0190429688s, input_fired_time: 13.5304431915, output_fired_time: 11.9079504013, propagate_forward_time: 364.5574951172, propagate_backward_time: 601.9727172852, weight_update_time: 0.9046321511, other_time: 12.0504150391
epoch time: 79.9321365356s, input_fired_time: 1.7017649412, output_fired_time: 0.0000000000, propagate_forward_time: 76.0621337891, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1682357788
validation[          , genome 18349] predictions:    9919/  10000 (99.19%), best:    9924/10000 (99.24%), error:       258.93616, best error:       251.12151 on epoch:    82, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 974.5219116211s, input_fired_time: 13.6059074402, output_fired_time: 11.3467912674, propagate_forward_time: 368.6762084961, propagate_backward_time: 568.7138671875, weight_update_time: 0.9118911028, other_time: 12.1791381836
epoch time: 76.6935501099s, input_fired_time: 1.6502631903, output_fired_time: 0.0000000000, propagate_forward_time: 72.9015502930, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1417388916
validation[          , genome 18349] predictions:    9929/  10000 (99.29%), best:    9924/10000 (99.24%), error:       252.76413, best error:       251.12151 on epoch:    82, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

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_1518178202_48_18349.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_48_18349_1_r2030318687_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: 0.983738
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000159741
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 6.38963e-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: 85
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 82
read number_validation_images: 10000
read best_validation_predictions: 9924
read best_validation_error: 251.122
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: 18349
read normal distribution: '1 0 0'
generator_str: '909047645'
read generator: 909047645
read generated_by_map:
1 enable_node 1
reading 128 nodes.
reading 480 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: 992.703369140625s, input_fired_time: 13.7406759262085, output_fired_time: 11.6942920684814, propagate_forward_time: 374.198516845703, propagate_backward_time: 581.014465332031, weight_update_time: 0.896951198577881, other_time: 12.0554809570313
epoch time: 75.8568878173828s, input_fired_time: 1.63777911663055, output_fired_time: 0, propagate_forward_time: 72.0850448608398, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.13406372070313
validation[          , genome 18349] predictions:    9918/  10000 (99.18%), best:    9924/10000 (99.24%), error:       255.34868, best error:       251.12151 on epoch:    82, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 992.6634521484s, input_fired_time: 13.3939628601, output_fired_time: 11.6630249023, propagate_forward_time: 357.0264282227, propagate_backward_time: 598.3608398438, weight_update_time: 0.9109159112, other_time: 12.2191772461
epoch time: 76.8896942139s, input_fired_time: 1.6591298580, output_fired_time: 0.0000000000, propagate_forward_time: 73.0679779053, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1625900269
validation[          , genome 18349] predictions:    9917/  10000 (99.17%), best:    9924/10000 (99.24%), error:       262.96332, best error:       251.12151 on epoch:    82, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 1016.2219848633s, input_fired_time: 13.7871036530, output_fired_time: 11.7852373123, propagate_forward_time: 376.6707458496, propagate_backward_time: 601.6149291992, weight_update_time: 0.9217085242, other_time: 12.3639526367
epoch time: 78.9419860840s, input_fired_time: 1.6881160736, output_fired_time: 0.0000000000, propagate_forward_time: 75.0726470947, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1812210083
validation[          , genome 18349] predictions:    9919/  10000 (99.19%), best:    9924/10000 (99.24%), error:       256.66519, best error:       251.12151 on epoch:    82, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 1031.4880371094s, input_fired_time: 13.5172863007, output_fired_time: 12.2754545212, propagate_forward_time: 363.1870727539, propagate_backward_time: 630.1480102539, weight_update_time: 0.9294435382, other_time: 12.3602294922
epoch time: 81.4897308350s, input_fired_time: 1.7292987108, output_fired_time: 0.0000000000, propagate_forward_time: 77.5794906616, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1809387207
validation[          , genome 18349] predictions:    9927/  10000 (99.27%), best:    9924/10000 (99.24%), error:       251.82886, best error:       251.12151 on epoch:    82, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 1038.7952880859s, input_fired_time: 13.6383428574, output_fired_time: 12.4676847458, propagate_forward_time: 369.8556518555, propagate_backward_time: 630.4322509766, weight_update_time: 0.9320121408, other_time: 12.4013671875
epoch time: 81.7855606079s, input_fired_time: 1.7370190620, output_fired_time: 0.0000000000, propagate_forward_time: 77.8541412354, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1943969727
validation[          , genome 18349] predictions:    9927/  10000 (99.27%), best:    9924/10000 (99.24%), error:       258.90952, best error:       251.12151 on epoch:    82, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 945.7626342773s, input_fired_time: 13.1592283249, output_fired_time: 11.3881788254, propagate_forward_time: 344.9772033691, propagate_backward_time: 564.4429931641, weight_update_time: 0.8739754558, other_time: 11.7950439453
epoch time: 80.0979537964s, input_fired_time: 1.7081941366, output_fired_time: 0.0000000000, propagate_forward_time: 76.2088317871, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1809310913
validation[          , genome 18349] predictions:    9921/  10000 (99.21%), best:    9921/10000 (99.21%), error:       249.26106, best error:       249.26106 on epoch:    90, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 971.3052978516s, input_fired_time: 13.4992856979, output_fired_time: 11.2877359390, propagate_forward_time: 364.0033874512, propagate_backward_time: 570.3662719727, weight_update_time: 0.9052673578, other_time: 12.1486206055
epoch time: 75.2967224121s, input_fired_time: 1.6386055946, output_fired_time: 0.0000000000, propagate_forward_time: 71.5580062866, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1001129150
validation[          , genome 18349] predictions:    9926/  10000 (99.26%), best:    9921/10000 (99.21%), error:       254.50072, best error:       249.26106 on epoch:    90, 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_1518178202_48_18349.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_48_18349_1_r2030318687_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: 90
read number_validation_images: 10000
read best_validation_predictions: 9921
read best_validation_error: 249.261
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: 18349
read normal distribution: '1 0 0'
generator_str: '145580172'
read generator: 145580172
read generated_by_map:
1 enable_node 1
reading 128 nodes.
reading 480 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: 1002.37646484375s, input_fired_time: 13.5895614624023, output_fired_time: 11.8442459106445, propagate_forward_time: 365.411956787109, propagate_backward_time: 599.353698730469, weight_update_time: 0.910984098911285, other_time: 12.1770629882813
epoch time: 78.7602920532227s, input_fired_time: 1.68897879123688, output_fired_time: 0, propagate_forward_time: 74.8957824707031, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.17552947998047
validation[          , genome 18349] predictions:    9923/  10000 (99.23%), best:    9921/10000 (99.21%), error:       249.88737, best error:       249.26106 on epoch:    90, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 1039.6662597656s, input_fired_time: 13.8406515121, output_fired_time: 12.3336591721, propagate_forward_time: 380.4715576172, propagate_backward_time: 620.5350952148, weight_update_time: 0.9350833893, other_time: 12.4852294922
epoch time: 81.0578308105s, input_fired_time: 1.7230520248, output_fired_time: 0.0000000000, propagate_forward_time: 77.1482086182, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1865692139
validation[          , genome 18349] predictions:    9923/  10000 (99.23%), best:    9921/10000 (99.21%), error:       254.92790, best error:       249.26106 on epoch:    90, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 1029.7342529297s, input_fired_time: 13.6702909470, output_fired_time: 12.2823743820, propagate_forward_time: 371.4940795898, propagate_backward_time: 619.8175659180, weight_update_time: 0.9361872077, other_time: 12.4699707031
epoch time: 78.0710144043s, input_fired_time: 1.6790416241, output_fired_time: 0.0000000000, propagate_forward_time: 74.2227401733, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1692352295
validation[          , genome 18349] predictions:    9918/  10000 (99.18%), best:    9921/10000 (99.21%), error:       271.71313, best error:       249.26106 on epoch:    90, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 1015.4262695313s, input_fired_time: 13.5689802170, output_fired_time: 11.8173885345, propagate_forward_time: 368.6173095703, propagate_backward_time: 608.8891601563, weight_update_time: 0.9369508028, other_time: 12.5334472656
epoch time: 79.6262207031s, input_fired_time: 1.7018350363, output_fired_time: 0.0000000000, propagate_forward_time: 75.7351074219, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1892776489
validation[          , genome 18349] predictions:    9922/  10000 (99.22%), best:    9921/10000 (99.21%), error:       250.85097, best error:       249.26106 on epoch:    90, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 1009.3247680664s, input_fired_time: 13.5179882050, output_fired_time: 11.4725885391, propagate_forward_time: 366.8877258301, propagate_backward_time: 605.0750122070, weight_update_time: 0.9312955737, other_time: 12.3713989258
epoch time: 81.7739562988s, input_fired_time: 1.7372510433, output_fired_time: 0.0000000000, propagate_forward_time: 77.8024291992, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2342758179
validation[          , genome 18349] predictions:    9920/  10000 (99.20%), best:    9921/10000 (99.21%), error:       253.47571, best error:       249.26106 on epoch:    90, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 1033.3840332031s, input_fired_time: 13.7014083862, output_fired_time: 12.5582094193, propagate_forward_time: 370.2284545898, propagate_backward_time: 624.6154174805, weight_update_time: 0.9216111898, other_time: 12.2805175781
epoch time: 81.4745712280s, input_fired_time: 1.7325936556, output_fired_time: 0.0000000000, propagate_forward_time: 77.5594100952, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1825637817
validation[          , genome 18349] predictions:    9924/  10000 (99.24%), best:    9921/10000 (99.21%), error:       252.98918, best error:       249.26106 on epoch:    90, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 1039.9916992188s, input_fired_time: 13.6392803192, output_fired_time: 12.6504392624, propagate_forward_time: 368.9564208984, propagate_backward_time: 632.3793334961, weight_update_time: 0.9283865690, other_time: 12.3662109375
epoch time: 78.2513809204s, input_fired_time: 1.6773022413, output_fired_time: 0.0000000000, propagate_forward_time: 74.4318237305, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1422576904
validation[          , genome 18349] predictions:    9918/  10000 (99.18%), best:    9921/10000 (99.21%), error:       258.64676, best error:       249.26106 on epoch:    90, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 1010.8745117188s, input_fired_time: 13.8203630447, output_fired_time: 11.7852210999, propagate_forward_time: 378.5119934082, propagate_backward_time: 594.3524169922, weight_update_time: 0.9269936085, other_time: 12.4045410156
epoch time: 78.3167800903s, input_fired_time: 1.6802893877, output_fired_time: 0.0000000000, propagate_forward_time: 74.4631500244, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1733398438
validation[          , genome 18349] predictions:    9924/  10000 (99.24%), best:    9921/10000 (99.21%), error:       253.25531, best error:       249.26106 on epoch:    90, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 1012.1138305664s, input_fired_time: 13.5388879776, output_fired_time: 12.1332788467, propagate_forward_time: 362.2772521973, propagate_backward_time: 611.8549804688, weight_update_time: 0.9164917469, other_time: 12.3094482422
epoch time: 78.6336135864s, input_fired_time: 1.6940264702, output_fired_time: 0.0000000000, propagate_forward_time: 74.7449264526, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1946640015
validation[          , genome 18349] predictions:    9922/  10000 (99.22%), best:    9921/10000 (99.21%), error:       259.55066, best error:       249.26106 on epoch:    90, 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: 406.6478576660s, input_fired_time: 8.6884298325, output_fired_time: 0.0000000000, propagate_forward_time: 386.8187255859, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.1407165527
best training[          , genome 18349] predictions:   50000/  50000 (100.00%), best:    9921/10000 (99.21%), error:        71.42663, best error:       249.26106 on epoch:    90, 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: 82.1697845459s, input_fired_time: 1.7372816801, output_fired_time: 0.0000000000, propagate_forward_time: 78.2238845825, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2086181641
   testing[          , genome 18349] predictions:    9933/  10000 (99.33%), best:    9921/10000 (99.21%), error:       198.92606, best error:       249.26106 on epoch:    90, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
barguments:
	'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_1518178202_48_18349.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_48_18349_1_r2030318687_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: 0.987244
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 7.03062e-05
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.81225e-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: 101
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 90
read number_validation_images: 10000
read best_validation_predictions: 9921
read best_validation_error: 249.261
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: 18349
read normal distribution: '1 0 0'
generator_str: '1266474152'
read generator: 1266474152
read generated_by_map:
1 enable_node 1
reading 128 nodes.
reading 480 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: 1046.11547851563s, input_fired_time: 13.9750289916992, output_fired_time: 12.5809631347656, propagate_forward_time: 381.594787597656, propagate_backward_time: 625.415283203125, weight_update_time: 0.946367263793945, other_time: 12.5494995117188
epoch time: 81.5986251831055s, input_fired_time: 1.76702225208282, output_fired_time: 0, propagate_forward_time: 77.5588531494141, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.27275085449219
validation[          , genome 18349] predictions:    9926/  10000 (99.26%), best:    9921/10000 (99.21%), error:       249.81235, best error:       249.26106 on epoch:    90, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 407.6439514160s, input_fired_time: 8.7402477264, output_fired_time: 0.0000000000, propagate_forward_time: 387.7306823730, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.1730346680
best training[          , genome 18349] predictions:   50000/  50000 (100.00%), best:    9921/10000 (99.21%), error:        71.42663, best error:       249.26106 on epoch:    90, epoch:  102/100, mu: 0.9873818159, learning_rate: 0.0000667909, weight_decay: 0.0000026716
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 81.9282073975s, input_fired_time: 1.7532347441, output_fired_time: 0.0000000000, propagate_forward_time: 77.9273071289, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2476654053
   testing[          , genome 18349] predictions:    9933/  10000 (99.33%), best:    9921/10000 (99.21%), error:       198.92606, best error:       249.26106 on epoch:    90, epoch:  102/100, mu: 0.9873818159, learning_rate: 0.0000667909, weight_decay: 0.0000026716
backpropagation finished successfully!
15:03:40 (5340): called boinc_finish(0)

</stderr_txt>
]]>