Nameexact_genome_1518178202_50_18439_0
Workunit2992965
Created9 Feb 2018, 21:32:32 UTC
Sent9 Feb 2018, 22:08:48 UTC
Report deadline16 Mar 2018, 3:33:43 UTC
Received11 Feb 2018, 8:22:59 UTC
Server stateOver
OutcomeValidate error
Client stateDone
Exit status0 (0x0)
Computer ID55826
Run time1 days 1 hours 29 min 58 sec
CPU time1 days 1 hours 23 min 24 sec
Validate stateInvalid
Credit0.00
Device peak FLOPS2.12 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33
Peak working set size179.79 MB
Peak swap size181.21 MB
Peak disk usage3.85 MB

Stderr output

<core_client_version>7.6.31</core_client_version>
<![CDATA[
<stderr_txt>
 1.5237172842, output_fired_time: 0.0000000000, propagate_forward_time: 64.9043655396, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8046264648
validation[          , genome 18439] predictions:    9849/  10000 (98.49%), best:    9880/10000 (98.80%), error:       470.30701, best error:       376.73102 on epoch:    36, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 834.2824707031s, input_fired_time: 14.4078559875, output_fired_time: 9.3886690140, propagate_forward_time: 322.1548767090, propagate_backward_time: 467.1248474121, weight_update_time: 1.6129767895, other_time: 21.2062377930
epoch time: 70.3479156494s, input_fired_time: 1.5354984999, output_fired_time: 0.0000000000, propagate_forward_time: 65.0156707764, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7967453003
validation[          , genome 18439] predictions:    9862/  10000 (98.62%), best:    9880/10000 (98.80%), error:       433.90237, best error:       376.73102 on epoch:    36, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 835.8657226562s, input_fired_time: 14.4523601532, output_fired_time: 9.4170646667, propagate_forward_time: 323.1911926270, propagate_backward_time: 467.4254455566, weight_update_time: 1.6127270460, other_time: 21.3796997070
epoch time: 70.3174743652s, input_fired_time: 1.5313667059, output_fired_time: 0.0000000000, propagate_forward_time: 64.9367065430, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8494033813
validation[          , genome 18439] predictions:    9867/  10000 (98.67%), best:    9880/10000 (98.80%), error:       423.82043, best error:       376.73102 on epoch:    36, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 833.2218017578s, input_fired_time: 14.3807306290, output_fired_time: 9.3554620743, propagate_forward_time: 321.5755920410, propagate_backward_time: 466.6224060059, weight_update_time: 1.6130124331, other_time: 21.2875976562
epoch time: 70.5482940674s, input_fired_time: 1.5328096151, output_fired_time: 0.0000000000, propagate_forward_time: 65.2128067017, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8026809692
validation[          , genome 18439] predictions:    9893/  10000 (98.93%), best:    9893/10000 (98.93%), error:       354.40393, best error:       354.40393 on epoch:    47, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 834.3890380859s, input_fired_time: 14.3939619064, output_fired_time: 9.3943767548, propagate_forward_time: 322.5907287598, propagate_backward_time: 466.6584777832, weight_update_time: 1.6249606609, other_time: 21.3515014648
epoch time: 70.7850799561s, input_fired_time: 1.5455769300, output_fired_time: 0.0000000000, propagate_forward_time: 65.4326248169, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8068771362
validation[          , genome 18439] predictions:    9886/  10000 (98.86%), best:    9893/10000 (98.93%), error:       360.33090, best error:       354.40393 on epoch:    47, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 834.3701782227s, input_fired_time: 14.4443616867, output_fired_time: 9.3820142746, propagate_forward_time: 322.6780700684, propagate_backward_time: 466.5946655273, weight_update_time: 1.6142174006, other_time: 21.2710876465
epoch time: 70.1873321533s, input_fired_time: 1.5279747248, output_fired_time: 0.0000000000, propagate_forward_time: 64.8861618042, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7731933594
validation[          , genome 18439] predictions:    9885/  10000 (98.85%), best:    9893/10000 (98.93%), error:       387.08948, best error:       354.40393 on epoch:    47, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 834.2195434570s, input_fired_time: 14.3942804337, output_fired_time: 9.4648847580, propagate_forward_time: 322.5866699219, propagate_backward_time: 466.5128479004, weight_update_time: 1.6339585781, other_time: 21.2608337402
epoch time: 70.2526397705s, input_fired_time: 1.5327773094, output_fired_time: 0.0000000000, propagate_forward_time: 64.8961639404, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8236999512
validation[          , genome 18439] predictions:    9863/  10000 (98.63%), best:    9893/10000 (98.93%), error:       451.49530, best error:       354.40393 on epoch:    47, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 834.9144287109s, input_fired_time: 14.3758506775, output_fired_time: 9.3394470215, propagate_forward_time: 323.0867919922, propagate_backward_time: 466.7931823730, weight_update_time: 1.6674486399, other_time: 21.3191223145
epoch time: 70.8003921509s, input_fired_time: 1.5486036539, output_fired_time: 0.0000000000, propagate_forward_time: 65.4300384521, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8217468262
validation[          , genome 18439] predictions:    9848/  10000 (98.48%), best:    9893/10000 (98.93%), error:       483.98163, best error:       354.40393 on epoch:    47, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 834.2951049805s, input_fired_time: 14.3765802383, output_fired_time: 9.3835325241, propagate_forward_time: 322.2472229004, propagate_backward_time: 466.9806213379, weight_update_time: 1.6125738621, other_time: 21.3071289062
epoch time: 70.9388046265s, input_fired_time: 1.5592179298, output_fired_time: 0.0000000000, propagate_forward_time: 65.5793533325, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8002319336
validation[          , genome 18439] predictions:    9880/  10000 (98.80%), best:    9893/10000 (98.93%), error:       405.86139, best error:       354.40393 on epoch:    47, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 834.5761718750s, input_fired_time: 14.3951921463, output_fired_time: 9.3606519699, propagate_forward_time: 322.6258544922, propagate_backward_time: 466.8587646484, weight_update_time: 1.6244921684, other_time: 21.3356933594
epoch time: 71.0824508667s, input_fired_time: 1.5508795977, output_fired_time: 0.0000000000, propagate_forward_time: 65.6604309082, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8711395264
validation[          , genome 18439] predictions:    9896/  10000 (98.96%), best:    9893/10000 (98.93%), error:       393.73999, best error:       354.40393 on epoch:    47, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 836.6609497070s, input_fired_time: 14.4669170380, output_fired_time: 9.3754091263, propagate_forward_time: 323.2855529785, propagate_backward_time: 468.2015380859, weight_update_time: 1.6133221388, other_time: 21.3315124512
epoch time: 70.9981079102s, input_fired_time: 1.5500031710, output_fired_time: 0.0000000000, propagate_forward_time: 65.6055297852, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8425750732
validation[          , genome 18439] predictions:    9894/  10000 (98.94%), best:    9894/10000 (98.94%), error:       336.33527, best error:       336.33527 on epoch:    54, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 835.2922363281s, input_fired_time: 14.4487819672, output_fired_time: 9.3800573349, propagate_forward_time: 322.7943420410, propagate_backward_time: 467.3100891113, weight_update_time: 1.6114934683, other_time: 21.3589477539
epoch time: 70.6510696411s, input_fired_time: 1.5382629633, output_fired_time: 0.0000000000, propagate_forward_time: 65.3091583252, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8036499023
validation[          , genome 18439] predictions:    9881/  10000 (98.81%), best:    9894/10000 (98.94%), error:       354.18042, best error:       336.33527 on epoch:    54, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 834.5991210938s, input_fired_time: 14.5011215210, output_fired_time: 9.3665723801, propagate_forward_time: 323.2015686035, propagate_backward_time: 466.2188415527, weight_update_time: 1.6182789803, other_time: 21.3110351562
epoch time: 70.7294769287s, input_fired_time: 1.5590786934, output_fired_time: 0.0000000000, propagate_forward_time: 65.3455123901, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8248825073
validation[          , genome 18439] predictions:    9889/  10000 (98.89%), best:    9894/10000 (98.94%), error:       364.95108, best error:       336.33527 on epoch:    54, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 833.8395996094s, input_fired_time: 14.4283313751, output_fired_time: 9.3603763580, propagate_forward_time: 321.9096374512, propagate_backward_time: 466.7451782227, weight_update_time: 1.6160360575, other_time: 21.3960876465
epoch time: 70.6080932617s, input_fired_time: 1.5446544886, output_fired_time: 0.0000000000, propagate_forward_time: 65.2494735718, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8139648438
validation[          , genome 18439] predictions:    9890/  10000 (98.90%), best:    9894/10000 (98.94%), error:       381.73807, best error:       336.33527 on epoch:    54, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 835.4130249023s, input_fired_time: 14.4298820496, output_fired_time: 9.4194297791, propagate_forward_time: 322.7504577637, propagate_backward_time: 467.4879455566, weight_update_time: 1.6146041155, other_time: 21.3253173828
epoch time: 70.4004058838s, input_fired_time: 1.5519466400, output_fired_time: 0.0000000000, propagate_forward_time: 65.0813446045, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7671127319
validation[          , genome 18439] predictions:    9884/  10000 (98.84%), best:    9894/10000 (98.94%), error:       404.77499, best error:       336.33527 on epoch:    54, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 833.8786621094s, input_fired_time: 14.4200296402, output_fired_time: 9.3534069061, propagate_forward_time: 322.3252563477, propagate_backward_time: 466.3577575684, weight_update_time: 1.6364736557, other_time: 21.4222106934
epoch time: 70.4512863159s, input_fired_time: 1.5574555397, output_fired_time: 0.0000000000, propagate_forward_time: 65.0903015137, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8035278320
validation[          , genome 18439] predictions:    9885/  10000 (98.85%), best:    9894/10000 (98.94%), error:       370.93219, best error:       336.33527 on epoch:    54, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 835.1058959961s, input_fired_time: 14.4536228180, output_fired_time: 9.3359546661, propagate_forward_time: 323.2928466797, propagate_backward_time: 466.7684020996, weight_update_time: 1.6111510992, other_time: 21.2550964355
epoch time: 70.5912857056s, input_fired_time: 1.5503091812, output_fired_time: 0.0000000000, propagate_forward_time: 65.2125701904, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8284072876
validation[          , genome 18439] predictions:    9890/  10000 (98.90%), best:    9894/10000 (98.94%), error:       374.99396, best error:       336.33527 on epoch:    54, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 834.6621704102s, input_fired_time: 14.4511432648, output_fired_time: 9.4205694199, propagate_forward_time: 322.3445434570, propagate_backward_time: 467.1700744629, weight_update_time: 1.6115535498, other_time: 21.2757873535
epoch time: 70.1259307861s, input_fired_time: 1.5476552248, output_fired_time: 0.0000000000, propagate_forward_time: 64.7701110840, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8081665039
validation[          , genome 18439] predictions:    9882/  10000 (98.82%), best:    9894/10000 (98.94%), error:       377.77902, best error:       336.33527 on epoch:    54, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 834.0932617188s, input_fired_time: 14.4569473267, output_fired_time: 9.3802709579, propagate_forward_time: 322.2784423828, propagate_backward_time: 466.6556396484, weight_update_time: 1.6180095673, other_time: 21.3219604492
epoch time: 70.9869995117s, input_fired_time: 1.5476132631, output_fired_time: 0.0000000000, propagate_forward_time: 65.5974349976, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8419494629
validation[          , genome 18439] predictions:    9888/  10000 (98.88%), best:    9894/10000 (98.94%), error:       367.21695, best error:       336.33527 on epoch:    54, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 835.1332397461s, input_fired_time: 14.5215883255, output_fired_time: 9.3890533447, propagate_forward_time: 322.4979248047, propagate_backward_time: 467.4178771973, weight_update_time: 1.6057004929, other_time: 21.3067932129
epoch time: 70.6767883301s, input_fired_time: 1.5480067730, output_fired_time: 0.0000000000, propagate_forward_time: 65.3360595703, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7927246094
validation[          , genome 18439] predictions:    9886/  10000 (98.86%), best:    9894/10000 (98.94%), error:       393.13272, best error:       336.33527 on epoch:    54, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 832.4763183594s, input_fired_time: 14.4659032822, output_fired_time: 9.3076887131, propagate_forward_time: 321.2624816895, propagate_backward_time: 466.1392211914, weight_update_time: 1.6173243523, other_time: 21.3010559082
epoch time: 70.1719818115s, input_fired_time: 1.5482680798, output_fired_time: 0.0000000000, propagate_forward_time: 64.7906951904, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8330154419
validation[          , genome 18439] predictions:    9878/  10000 (98.78%), best:    9894/10000 (98.94%), error:       384.17169, best error:       336.33527 on epoch:    54, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 834.3135375977s, input_fired_time: 14.4726018906, output_fired_time: 9.3873748779, propagate_forward_time: 322.1622924805, propagate_backward_time: 466.9011230469, weight_update_time: 1.6266692877, other_time: 21.3901367188
epoch time: 70.3209838867s, input_fired_time: 1.5485764742, output_fired_time: 0.0000000000, propagate_forward_time: 64.9740753174, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7983322144
validation[          , genome 18439] predictions:    9886/  10000 (98.86%), best:    9894/10000 (98.94%), error:       377.48038, best error:       336.33527 on epoch:    54, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 834.6376953125s, input_fired_time: 14.4458932877, output_fired_time: 9.3857059479, propagate_forward_time: 322.0787658691, propagate_backward_time: 467.4905090332, weight_update_time: 1.6169446707, other_time: 21.2368164062
epoch time: 70.7776641846s, input_fired_time: 1.5588876009, output_fired_time: 0.0000000000, propagate_forward_time: 65.3775329590, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8412399292
validation[          , genome 18439] predictions:    9879/  10000 (98.79%), best:    9894/10000 (98.94%), error:       386.70377, best error:       336.33527 on epoch:    54, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 832.8269653320s, input_fired_time: 14.4168701172, output_fired_time: 9.3614072800, propagate_forward_time: 321.6474304199, propagate_backward_time: 466.1170043945, weight_update_time: 1.6109167337, other_time: 21.2842712402
epoch time: 70.7519912720s, input_fired_time: 1.5480133295, output_fired_time: 0.0000000000, propagate_forward_time: 65.3588867188, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8450927734
validation[          , genome 18439] predictions:    9894/  10000 (98.94%), best:    9894/10000 (98.94%), error:       371.48688, best error:       336.33527 on epoch:    54, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 836.3676757812s, input_fired_time: 14.4875507355, output_fired_time: 9.4180936813, propagate_forward_time: 323.1832275391, propagate_backward_time: 467.8985290527, weight_update_time: 1.6141895056, other_time: 21.3802795410
epoch time: 70.5313110352s, input_fired_time: 1.5654259920, output_fired_time: 0.0000000000, propagate_forward_time: 65.1454086304, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8204727173
validation[          , genome 18439] predictions:    9886/  10000 (98.86%), best:    9894/10000 (98.94%), error:       386.25745, best error:       336.33527 on epoch:    54, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 832.6503906250s, input_fired_time: 14.4559974670, output_fired_time: 9.3502979279, propagate_forward_time: 322.0660705566, propagate_backward_time: 465.4992370605, weight_update_time: 1.6143184900, other_time: 21.2788085938
epoch time: 70.5352401733s, input_fired_time: 1.5553636551, output_fired_time: 0.0000000000, propagate_forward_time: 65.1733779907, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8064956665
validation[          , genome 18439] predictions:    9895/  10000 (98.95%), best:    9894/10000 (98.94%), error:       363.48807, best error:       336.33527 on epoch:    54, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 833.4315185547s, input_fired_time: 14.4772491455, output_fired_time: 9.3012771606, propagate_forward_time: 321.8937988281, propagate_backward_time: 466.4356994629, weight_update_time: 1.6174384356, other_time: 21.3235168457
epoch time: 70.2643432617s, input_fired_time: 1.5486973524, output_fired_time: 0.0000000000, propagate_forward_time: 64.8986740112, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8169708252
validation[          , genome 18439] predictions:    9890/  10000 (98.90%), best:    9894/10000 (98.94%), error:       371.76373, best error:       336.33527 on epoch:    54, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 834.2498168945s, input_fired_time: 14.4702320099, output_fired_time: 9.3560962677, propagate_forward_time: 322.2837219238, propagate_backward_time: 466.7203063965, weight_update_time: 1.6204394102, other_time: 21.4194946289
epoch time: 70.4058761597s, input_fired_time: 1.5569196939, output_fired_time: 0.0000000000, propagate_forward_time: 65.0314788818, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8174743652
validation[          , genome 18439] predictions:    9891/  10000 (98.91%), best:    9894/10000 (98.94%), error:       374.89520, best error:       336.33527 on epoch:    54, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 834.3485717773s, input_fired_time: 14.4825906754, output_fired_time: 9.3684320450, propagate_forward_time: 322.8614807129, propagate_backward_time: 466.3697509766, weight_update_time: 1.6190965176, other_time: 21.2663269043
epoch time: 70.7123336792s, input_fired_time: 1.5631704330, output_fired_time: 0.0000000000, propagate_forward_time: 65.3227081299, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8264541626
validation[          , genome 18439] predictions:    9882/  10000 (98.82%), best:    9894/10000 (98.94%), error:       385.50571, best error:       336.33527 on epoch:    54, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 833.6881103516s, input_fired_time: 14.4699726105, output_fired_time: 9.3254203796, propagate_forward_time: 322.2792663574, propagate_backward_time: 466.3150939941, weight_update_time: 1.6188764572, other_time: 21.2983398438
epoch time: 71.0629653931s, input_fired_time: 1.5641156435, output_fired_time: 0.0000000000, propagate_forward_time: 65.6505508423, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8482971191
validation[          , genome 18439] predictions:    9889/  10000 (98.89%), best:    9894/10000 (98.94%), error:       368.43399, best error:       336.33527 on epoch:    54, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 837.5567626953s, input_fired_time: 14.4463863373, output_fired_time: 9.4215612411, propagate_forward_time: 323.8830871582, propagate_backward_time: 468.3055419922, weight_update_time: 1.6216325760, other_time: 21.5001525879
epoch time: 69.8222503662s, input_fired_time: 1.5437173843, output_fired_time: 0.0000000000, propagate_forward_time: 64.4993972778, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7791366577
validation[          , genome 18439] predictions:    9894/  10000 (98.94%), best:    9894/10000 (98.94%), error:       360.24045, best error:       336.33527 on epoch:    54, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 831.5665893555s, input_fired_time: 14.5626277924, output_fired_time: 9.3912582397, propagate_forward_time: 321.3048400879, propagate_backward_time: 465.0541076660, weight_update_time: 1.6080580950, other_time: 21.2537841797
epoch time: 70.7842330933s, input_fired_time: 1.5588107109, output_fired_time: 0.0000000000, propagate_forward_time: 65.4115371704, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8138885498
validation[          , genome 18439] predictions:    9894/  10000 (98.94%), best:    9894/10000 (98.94%), error:       380.82507, best error:       336.33527 on epoch:    54, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 835.7983398438s, input_fired_time: 14.5259561539, output_fired_time: 9.4126052856, propagate_forward_time: 323.1973266602, propagate_backward_time: 467.2981262207, weight_update_time: 1.6089001894, other_time: 21.3643493652
epoch time: 70.9489898682s, input_fired_time: 1.5641130209, output_fired_time: 0.0000000000, propagate_forward_time: 65.5764770508, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8084030151
validation[          , genome 18439] predictions:    9901/  10000 (99.01%), best:    9894/10000 (98.94%), error:       358.54019, best error:       336.33527 on epoch:    54, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 834.2637329102s, input_fired_time: 14.5007114410, output_fired_time: 9.4086933136, propagate_forward_time: 322.2637023926, propagate_backward_time: 466.8309020996, weight_update_time: 1.6216614246, other_time: 21.2597045898
epoch time: 70.8101577759s, input_fired_time: 1.5562704802, output_fired_time: 0.0000000000, propagate_forward_time: 65.4694137573, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7844772339
validation[          , genome 18439] predictions:    9881/  10000 (98.81%), best:    9894/10000 (98.94%), error:       417.16800, best error:       336.33527 on epoch:    54, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 834.4797973633s, input_fired_time: 14.4959592819, output_fired_time: 9.3558549881, propagate_forward_time: 323.0560913086, propagate_backward_time: 466.2976074219, weight_update_time: 1.6153404713, other_time: 21.2742919922
epoch time: 70.5304718018s, input_fired_time: 1.5619993210, output_fired_time: 0.0000000000, propagate_forward_time: 65.0972137451, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8712615967
validation[          , genome 18439] predictions:    9893/  10000 (98.93%), best:    9894/10000 (98.94%), error:       373.30438, best error:       336.33527 on epoch:    54, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 834.6318359375s, input_fired_time: 14.5509042740, output_fired_time: 9.4054155350, propagate_forward_time: 322.4668579102, propagate_backward_time: 466.8398437500, weight_update_time: 1.6142318249, other_time: 21.3688354492
epoch time: 70.5199737549s, input_fired_time: 1.5605149269, output_fired_time: 0.0000000000, propagate_forward_time: 65.1536102295, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8058471680
validation[          , genome 18439] predictions:    9897/  10000 (98.97%), best:    9894/10000 (98.94%), error:       359.35754, best error:       336.33527 on epoch:    54, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 837.2800292969s, input_fired_time: 14.5565748215, output_fired_time: 9.3937425613, propagate_forward_time: 324.1407165527, propagate_backward_time: 467.8675231934, weight_update_time: 1.6367796659, other_time: 21.3214721680
epoch time: 70.8266296387s, input_fired_time: 1.5753543377, output_fired_time: 0.0000000000, propagate_forward_time: 65.4212646484, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8300094604
validation[          , genome 18439] predictions:    9892/  10000 (98.92%), best:    9894/10000 (98.94%), error:       364.25925, best error:       336.33527 on epoch:    54, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 833.2923583984s, input_fired_time: 14.4763097763, output_fired_time: 9.3339290619, propagate_forward_time: 321.6515808105, propagate_backward_time: 466.5185546875, weight_update_time: 1.6201941967, other_time: 21.3119812012
epoch time: 70.2869567871s, input_fired_time: 1.5552650690, output_fired_time: 0.0000000000, propagate_forward_time: 64.9458694458, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7858200073
validation[          , genome 18439] predictions:    9891/  10000 (98.91%), best:    9894/10000 (98.94%), error:       361.57620, best error:       336.33527 on epoch:    54, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 832.4739379883s, input_fired_time: 14.4948635101, output_fired_time: 9.3222684860, propagate_forward_time: 321.5971069336, propagate_backward_time: 465.7294921875, weight_update_time: 1.6199002266, other_time: 21.3302001953
epoch time: 70.0621490479s, input_fired_time: 1.5586905479, output_fired_time: 0.0000000000, propagate_forward_time: 64.7314300537, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7720260620
validation[          , genome 18439] predictions:    9891/  10000 (98.91%), best:    9894/10000 (98.94%), error:       381.17059, best error:       336.33527 on epoch:    54, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 830.6430053711s, input_fired_time: 14.4571647644, output_fired_time: 9.3206071854, propagate_forward_time: 320.8147583008, propagate_backward_time: 464.8561401367, weight_update_time: 1.6147158146, other_time: 21.1943359375
epoch time: 69.9289321899s, input_fired_time: 1.5749298334, output_fired_time: 0.0000000000, propagate_forward_time: 64.5762176514, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7777862549
validation[          , genome 18439] predictions:    9895/  10000 (98.95%), best:    9894/10000 (98.94%), error:       367.96841, best error:       336.33527 on epoch:    54, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 831.3153076172s, input_fired_time: 14.4504280090, output_fired_time: 9.3320941925, propagate_forward_time: 321.2758178711, propagate_backward_time: 465.0400390625, weight_update_time: 1.6132305861, other_time: 21.2169189453
epoch time: 69.9914703369s, input_fired_time: 1.5528788567, output_fired_time: 0.0000000000, propagate_forward_time: 64.6162796021, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8223114014
validation[          , genome 18439] predictions:    9899/  10000 (98.99%), best:    9894/10000 (98.94%), error:       359.72174, best error:       336.33527 on epoch:    54, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 830.9129638672s, input_fired_time: 14.4700155258, output_fired_time: 9.3333005905, propagate_forward_time: 320.8368530273, propagate_backward_time: 465.0458068848, weight_update_time: 1.6173470020, other_time: 21.2269592285
epoch time: 70.3236618042s, input_fired_time: 1.5748454332, output_fired_time: 0.0000000000, propagate_forward_time: 64.8849563599, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8638610840
validation[          , genome 18439] predictions:    9891/  10000 (98.91%), best:    9894/10000 (98.94%), error:       370.58231, best error:       336.33527 on epoch:    54, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 831.8713989258s, input_fired_time: 14.4832372665, output_fired_time: 9.3238887787, propagate_forward_time: 321.0423278809, propagate_backward_time: 465.7908630371, weight_update_time: 1.6250053644, other_time: 21.2310791016
epoch time: 70.4512252808s, input_fired_time: 1.5535060167, output_fired_time: 0.0000000000, propagate_forward_time: 65.1064071655, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7913131714
validation[          , genome 18439] predictions:    9893/  10000 (98.93%), best:    9894/10000 (98.94%), error:       384.47855, best error:       336.33527 on epoch:    54, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 831.6882324219s, input_fired_time: 14.4350948334, output_fired_time: 9.3353528976, propagate_forward_time: 321.1522521973, propagate_backward_time: 465.5630798340, weight_update_time: 1.6119831800, other_time: 21.2024536133
epoch time: 70.1178894043s, input_fired_time: 1.5529226065, output_fired_time: 0.0000000000, propagate_forward_time: 64.7655868530, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7993774414
validation[          , genome 18439] predictions:    9892/  10000 (98.92%), best:    9894/10000 (98.94%), error:       384.95905, best error:       336.33527 on epoch:    54, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 831.4680786133s, input_fired_time: 14.4819335938, output_fired_time: 9.3318223953, propagate_forward_time: 320.9136047363, propagate_backward_time: 465.6080627441, weight_update_time: 1.6106355190, other_time: 21.1326293945
epoch time: 70.8778152466s, input_fired_time: 1.5701675415, output_fired_time: 0.0000000000, propagate_forward_time: 65.5164413452, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7912063599
validation[          , genome 18439] predictions:    9888/  10000 (98.88%), best:    9894/10000 (98.94%), error:       370.18381, best error:       336.33527 on epoch:    54, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 837.4526367188s, input_fired_time: 14.4806146622, output_fired_time: 9.4195175171, propagate_forward_time: 323.7701721191, propagate_backward_time: 468.4258117676, weight_update_time: 1.6246912479, other_time: 21.3565673828
epoch time: 72.7227172852s, input_fired_time: 1.5950565338, output_fired_time: 0.0000000000, propagate_forward_time: 67.2033615112, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9243011475
validation[          , genome 18439] predictions:    9889/  10000 (98.89%), best:    9894/10000 (98.94%), error:       370.87152, best error:       336.33527 on epoch:    54, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 852.2771606445s, input_fired_time: 14.5924263000, output_fired_time: 9.6393470764, propagate_forward_time: 330.5555725098, propagate_backward_time: 475.7866210938, weight_update_time: 1.6319066286, other_time: 21.7032165527
epoch time: 73.0058670044s, input_fired_time: 1.5762276649, output_fired_time: 0.0000000000, propagate_forward_time: 67.5744247437, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8552169800
validation[          , genome 18439] predictions:    9893/  10000 (98.93%), best:    9894/10000 (98.94%), error:       375.29297, best error:       336.33527 on epoch:    54, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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_50_18439.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_50_18439_0_r1707917083_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: 0.985397
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000117424
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.69697e-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: 91
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 54
read number_validation_images: 10000
read best_validation_predictions: 9894
read best_validation_error: 336.335
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: 18439
read normal distribution: '1 0 0'
generator_str: '1865982673'
read generator: 1865982673
read generated_by_map:
1 disable_node 1
reading 124 nodes.
reading 452 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: 827.138427734375s, input_fired_time: 14.3986482620239, output_fired_time: 9.46430397033691, propagate_forward_time: 318.566741943359, propagate_backward_time: 462.863586425781, weight_update_time: 1.58083641529083, other_time: 21.8451843261719
epoch time: 68.8192138671875s, input_fired_time: 1.53562843799591, output_fired_time: 0, propagate_forward_time: 63.458080291748, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.82550430297852
validation[          , genome 18439] predictions:    9888/  10000 (98.88%), best:    9894/10000 (98.94%), error:       367.84048, best error:       336.33527 on epoch:    54, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 840.8707885742s, input_fired_time: 14.5755777359, output_fired_time: 9.5958156586, propagate_forward_time: 325.0487976074, propagate_backward_time: 469.5373535156, weight_update_time: 1.6347118616, other_time: 22.1132507324
epoch time: 69.4475402832s, input_fired_time: 1.5181103945, output_fired_time: 0.0000000000, propagate_forward_time: 64.1599502563, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7694778442
validation[          , genome 18439] predictions:    9899/  10000 (98.99%), best:    9894/10000 (98.94%), error:       378.16513, best error:       336.33527 on epoch:    54, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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_50_18439.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_50_18439_0_r1707917083_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: 0.985846
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000105975
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.23901e-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: 93
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 54
read number_validation_images: 10000
read best_validation_predictions: 9894
read best_validation_error: 336.335
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: 18439
read normal distribution: '1 0 0'
generator_str: '1377336813'
read generator: 1377336813
read generated_by_map:
1 disable_node 1
reading 124 nodes.
reading 452 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!
arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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_50_18439.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_50_18439_0_r1707917083_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: 0.985846
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000105975
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.23901e-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: 93
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 54
read number_validation_images: 10000
read best_validation_predictions: 9894
read best_validation_error: 336.335
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: 18439
read normal distribution: '1 0 0'
generator_str: '1377336813'
read generator: 1377336813
read generated_by_map:
1 disable_node 1
reading 124 nodes.
reading 452 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!
arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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_50_18439.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_50_18439_0_r1707917083_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: 0.985846
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000105975
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.23901e-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: 93
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 54
read number_validation_images: 10000
read best_validation_predictions: 9894
read best_validation_error: 336.335
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: 18439
read normal distribution: '1 0 0'
generator_str: '1377336813'
read generator: 1377336813
read generated_by_map:
1 disable_node 1
reading 124 nodes.
reading 452 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: 836.09033203125s, input_fired_time: 14.5726852416992, output_fired_time: 9.42947769165039, propagate_forward_time: 322.381805419922, propagate_backward_time: 467.653350830078, weight_update_time: 1.62721037864685, other_time: 22.052978515625
epoch time: 70.6319732666016s, input_fired_time: 1.5672652721405, output_fired_time: 0, propagate_forward_time: 65.2172393798828, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.84746551513672
validation[          , genome 18439] predictions:    9900/  10000 (99.00%), best:    9894/10000 (98.94%), error:       365.51993, best error:       336.33527 on epoch:    54, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 836.1528320312s, input_fired_time: 14.4702310562, output_fired_time: 9.4386177063, propagate_forward_time: 323.1445617676, propagate_backward_time: 467.6373291016, weight_update_time: 1.6093678474, other_time: 21.4621276855
epoch time: 70.3313446045s, input_fired_time: 1.5582413673, output_fired_time: 0.0000000000, propagate_forward_time: 64.9786834717, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7944183350
validation[          , genome 18439] predictions:    9893/  10000 (98.93%), best:    9894/10000 (98.94%), error:       368.24716, best error:       336.33527 on epoch:    54, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 832.5074462891s, input_fired_time: 14.4380712509, output_fired_time: 9.3822555542, propagate_forward_time: 321.6520996094, propagate_backward_time: 465.7037658691, weight_update_time: 1.5962698460, other_time: 21.3312683105
epoch time: 70.6292037964s, input_fired_time: 1.5523334742, output_fired_time: 0.0000000000, propagate_forward_time: 65.2183151245, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8585586548
validation[          , genome 18439] predictions:    9893/  10000 (98.93%), best:    9894/10000 (98.94%), error:       376.26849, best error:       336.33527 on epoch:    54, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 828.3339233398s, input_fired_time: 14.3702793121, output_fired_time: 9.2328500748, propagate_forward_time: 318.9103698730, propagate_backward_time: 464.6116943359, weight_update_time: 1.5944747925, other_time: 21.2087097168
epoch time: 69.9872207642s, input_fired_time: 1.5514290333, output_fired_time: 0.0000000000, propagate_forward_time: 64.6168289185, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8189620972
validation[          , genome 18439] predictions:    9890/  10000 (98.90%), best:    9894/10000 (98.94%), error:       372.93765, best error:       336.33527 on epoch:    54, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 821.1955566406s, input_fired_time: 14.3168296814, output_fired_time: 9.1724901199, propagate_forward_time: 315.9853210449, propagate_backward_time: 460.7236938477, weight_update_time: 1.5885249376, other_time: 20.9972229004
epoch time: 69.1598968506s, input_fired_time: 1.5394831896, output_fired_time: 0.0000000000, propagate_forward_time: 63.8454093933, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7750053406
validation[          , genome 18439] predictions:    9895/  10000 (98.95%), best:    9894/10000 (98.94%), error:       374.63599, best error:       336.33527 on epoch:    54, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 818.4552001953s, input_fired_time: 14.2830381393, output_fired_time: 9.0857696533, propagate_forward_time: 314.8398742676, propagate_backward_time: 459.2223510742, weight_update_time: 1.5837382078, other_time: 21.0242004395
epoch time: 69.3894271851s, input_fired_time: 1.5363581181, output_fired_time: 0.0000000000, propagate_forward_time: 64.0521469116, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8009185791
validation[          , genome 18439] predictions:    9894/  10000 (98.94%), best:    9894/10000 (98.94%), error:       374.65247, best error:       336.33527 on epoch:    54, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 819.1495361328s, input_fired_time: 14.2695369720, output_fired_time: 9.1214761734, propagate_forward_time: 315.0884704590, propagate_backward_time: 459.4785766602, weight_update_time: 1.5877659321, other_time: 21.1914978027
epoch time: 69.1889877319s, input_fired_time: 1.5299363136, output_fired_time: 0.0000000000, propagate_forward_time: 63.8924903870, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7665596008
validation[          , genome 18439] predictions:    9892/  10000 (98.92%), best:    9894/10000 (98.94%), error:       377.68951, best error:       336.33527 on epoch:    54, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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_50_18439.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_50_18439_0_r1707917083_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: 0.987099
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 7.40065e-05
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.96026e-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: 100
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 54
read number_validation_images: 10000
read best_validation_predictions: 9894
read best_validation_error: 336.335
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: 18439
read normal distribution: '1 0 0'
generator_str: '323566271'
read generator: 323566271
read generated_by_map:
1 disable_node 1
reading 124 nodes.
reading 452 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: 828.683410644531s, input_fired_time: 14.5088930130005, output_fired_time: 9.40167427062988, propagate_forward_time: 318.69189453125, propagate_backward_time: 464.358856201172, weight_update_time: 1.61848187446594, other_time: 21.7220764160156
epoch time: 69.8975372314453s, input_fired_time: 1.56033253669739, output_fired_time: 0, propagate_forward_time: 64.4934921264648, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.84371185302734
validation[          , genome 18439] predictions:    9889/  10000 (98.89%), best:    9894/10000 (98.94%), error:       379.50989, best error:       336.33527 on epoch:    54, 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: 349.9125671387s, input_fired_time: 7.7215352058, output_fired_time: 0.0000000000, propagate_forward_time: 323.0168762207, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 19.1741638184
best training[          , genome 18439] predictions:   49986/  50000 (99.97%), best:    9894/10000 (98.94%), error:       172.85176, best error:       336.33527 on epoch:    54, 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: 70.2590179443s, input_fired_time: 1.5171588659, output_fired_time: 0.0000000000, propagate_forward_time: 64.9105300903, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8313293457
   testing[          , genome 18439] predictions:    9895/  10000 (98.95%), best:    9894/10000 (98.94%), error:       329.56522, best error:       336.33527 on epoch:    54, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
08:19:01 (5728): called boinc_finish(0)

</stderr_txt>
]]>