Nameexact_genome_1517574602_51_18244_1
Workunit2990363
Created9 Feb 2018, 4:32:02 UTC
Sent9 Feb 2018, 4:56:32 UTC
Report deadline13 Mar 2018, 14:28:11 UTC
Received11 Feb 2018, 19:48:16 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID67154
Run time1 days 0 hours 51 min 27 sec
CPU time1 days 0 hours 50 min 19 sec
Validate stateInitial
Credit0.00
Device peak FLOPS2.89 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33
Peak working set size173.51 MB
Peak swap size176.32 MB
Peak disk usage3.24 MB

Stderr output

<core_client_version>7.8.4</core_client_version>
<![CDATA[
<stderr_txt>
ate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7066154480
validation[          , genome 18244] predictions:    9890/  10000 (98.90%), best:    9890/10000 (98.90%), error:       333.72745, best error:       333.72745 on epoch:    38, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 811.1829833984s, input_fired_time: 10.9609184265, output_fired_time: 12.1109142303, propagate_forward_time: 306.0248107910, propagate_backward_time: 471.5772399902, weight_update_time: 1.3353700638, other_time: 10.5090942383
epoch time: 64.7572402954s, input_fired_time: 1.1360634565, output_fired_time: 0.0000000000, propagate_forward_time: 61.9144401550, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7067375183
validation[          , genome 18244] predictions:    9877/  10000 (98.77%), best:    9890/10000 (98.90%), error:       412.42340, best error:       333.72745 on epoch:    38, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 816.8360595703s, input_fired_time: 11.0328989029, output_fired_time: 12.1856231689, propagate_forward_time: 308.3440551758, propagate_backward_time: 474.7407531738, weight_update_time: 1.3338483572, other_time: 10.5327453613
epoch time: 62.8412170410s, input_fired_time: 1.1179339886, output_fired_time: 0.0000000000, propagate_forward_time: 60.0338973999, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6893844604
validation[          , genome 18244] predictions:    9881/  10000 (98.81%), best:    9890/10000 (98.90%), error:       354.42313, best error:       333.72745 on epoch:    38, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 812.9766235352s, input_fired_time: 11.0182123184, output_fired_time: 12.1378946304, propagate_forward_time: 306.5741577148, propagate_backward_time: 472.6935424805, weight_update_time: 1.3318012953, other_time: 10.5528564453
epoch time: 64.6457138062s, input_fired_time: 1.1495651007, output_fired_time: 0.0000000000, propagate_forward_time: 61.7881355286, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7080116272
validation[          , genome 18244] predictions:    9875/  10000 (98.75%), best:    9890/10000 (98.90%), error:       396.49240, best error:       333.72745 on epoch:    38, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 814.0444335938s, input_fired_time: 11.0181474686, output_fired_time: 12.1107234955, propagate_forward_time: 307.2034912109, propagate_backward_time: 473.1498107910, weight_update_time: 1.3327335119, other_time: 10.5622863770
epoch time: 64.2685699463s, input_fired_time: 1.1281503439, output_fired_time: 0.0000000000, propagate_forward_time: 61.4335136414, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7069053650
validation[          , genome 18244] predictions:    9886/  10000 (98.86%), best:    9890/10000 (98.90%), error:       378.49161, best error:       333.72745 on epoch:    38, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 815.3383178711s, input_fired_time: 10.9988870621, output_fired_time: 12.1382169724, propagate_forward_time: 307.8037414551, propagate_backward_time: 473.8420410156, weight_update_time: 1.3342469931, other_time: 10.5553894043
epoch time: 64.2965698242s, input_fired_time: 1.1295334101, output_fired_time: 0.0000000000, propagate_forward_time: 61.4661865234, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7008514404
validation[          , genome 18244] predictions:    9861/  10000 (98.61%), best:    9890/10000 (98.90%), error:       436.45853, best error:       333.72745 on epoch:    38, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 817.6227416992s, input_fired_time: 11.0446100235, output_fired_time: 12.2103223801, propagate_forward_time: 308.3576354980, propagate_backward_time: 475.4176330566, weight_update_time: 1.3368222713, other_time: 10.5925292969
epoch time: 64.1629104614s, input_fired_time: 1.1370157003, output_fired_time: 0.0000000000, propagate_forward_time: 61.3072891235, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7186050415
validation[          , genome 18244] predictions:    9878/  10000 (98.78%), best:    9890/10000 (98.90%), error:       388.35190, best error:       333.72745 on epoch:    38, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 818.7877197266s, input_fired_time: 11.1087207794, output_fired_time: 12.2196760178, propagate_forward_time: 308.6504211426, propagate_backward_time: 475.9222412109, weight_update_time: 1.3435697556, other_time: 10.8866882324
epoch time: 64.7703704834s, input_fired_time: 1.1434255838, output_fired_time: 0.0000000000, propagate_forward_time: 61.9258689880, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7010765076
validation[          , genome 18244] predictions:    9875/  10000 (98.75%), best:    9890/10000 (98.90%), error:       390.79095, best error:       333.72745 on epoch:    38, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 818.4652099609s, input_fired_time: 11.0573997498, output_fired_time: 12.2023677826, propagate_forward_time: 308.7572937012, propagate_backward_time: 475.9062500000, weight_update_time: 1.3449045420, other_time: 10.5419006348
epoch time: 64.7334747314s, input_fired_time: 1.1440142393, output_fired_time: 0.0000000000, propagate_forward_time: 61.8685264587, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7209358215
validation[          , genome 18244] predictions:    9893/  10000 (98.93%), best:    9890/10000 (98.90%), error:       350.60583, best error:       333.72745 on epoch:    38, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 820.2766113281s, input_fired_time: 11.0927419662, output_fired_time: 12.2177495956, propagate_forward_time: 309.2345275879, propagate_backward_time: 477.1745910645, weight_update_time: 1.3420330286, other_time: 10.5570068359
epoch time: 64.7287750244s, input_fired_time: 1.1469651461, output_fired_time: 0.0000000000, propagate_forward_time: 61.8681793213, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7136306763
validation[          , genome 18244] predictions:    9891/  10000 (98.91%), best:    9890/10000 (98.90%), error:       341.42764, best error:       333.72745 on epoch:    38, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 819.4211425781s, input_fired_time: 11.1053037643, output_fired_time: 12.2189159393, propagate_forward_time: 309.2712707520, propagate_backward_time: 476.2435913086, weight_update_time: 1.3407890797, other_time: 10.5820617676
epoch time: 65.0513000488s, input_fired_time: 1.1493976116, output_fired_time: 0.0000000000, propagate_forward_time: 62.1759796143, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7259216309
validation[          , genome 18244] predictions:    9883/  10000 (98.83%), best:    9890/10000 (98.90%), error:       382.32004, best error:       333.72745 on epoch:    38, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 815.2991333008s, input_fired_time: 11.0280513763, output_fired_time: 12.1890964508, propagate_forward_time: 307.5566101074, propagate_backward_time: 473.9080200195, weight_update_time: 1.3445957899, other_time: 10.6173400879
epoch time: 64.4613265991s, input_fired_time: 1.1485481262, output_fired_time: 0.0000000000, propagate_forward_time: 61.5845603943, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7282180786
validation[          , genome 18244] predictions:    9895/  10000 (98.95%), best:    9895/10000 (98.95%), error:       309.14639, best error:       309.14639 on epoch:    49, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 812.8576660156s, input_fired_time: 11.0278501511, output_fired_time: 12.0891809464, propagate_forward_time: 306.8829956055, propagate_backward_time: 472.2915344238, weight_update_time: 1.3395705223, other_time: 10.5661315918
epoch time: 64.3364410400s, input_fired_time: 1.1417952776, output_fired_time: 0.0000000000, propagate_forward_time: 61.4803009033, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7143440247
validation[          , genome 18244] predictions:    9885/  10000 (98.85%), best:    9895/10000 (98.95%), error:       351.41101, best error:       309.14639 on epoch:    49, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 812.9535522461s, input_fired_time: 11.0202579498, output_fired_time: 12.0762300491, propagate_forward_time: 306.9567871094, propagate_backward_time: 472.3290100098, weight_update_time: 1.3389441967, other_time: 10.5712585449
epoch time: 64.3811645508s, input_fired_time: 1.1434866190, output_fired_time: 0.0000000000, propagate_forward_time: 61.5179252625, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7197532654
validation[          , genome 18244] predictions:    9877/  10000 (98.77%), best:    9895/10000 (98.95%), error:       368.08328, best error:       309.14639 on epoch:    49, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 811.4071044922s, input_fired_time: 11.0168199539, output_fired_time: 12.0498332977, propagate_forward_time: 306.5098571777, propagate_backward_time: 471.2452087402, weight_update_time: 1.3380105495, other_time: 10.5853881836
epoch time: 64.3861160278s, input_fired_time: 1.1491920948, output_fired_time: 0.0000000000, propagate_forward_time: 61.5122756958, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7246475220
validation[          , genome 18244] predictions:    9900/  10000 (99.00%), best:    9895/10000 (98.95%), error:       337.68787, best error:       309.14639 on epoch:    49, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 811.6671142578s, input_fired_time: 11.0315542221, output_fired_time: 12.0444250107, propagate_forward_time: 306.5871276855, propagate_backward_time: 471.4502868652, weight_update_time: 1.3391587734, other_time: 10.5537109375
epoch time: 64.4947967529s, input_fired_time: 1.1515924931, output_fired_time: 0.0000000000, propagate_forward_time: 61.6309051514, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7122993469
validation[          , genome 18244] predictions:    9894/  10000 (98.94%), best:    9895/10000 (98.95%), error:       355.72006, best error:       309.14639 on epoch:    49, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 817.0109252930s, input_fired_time: 11.0858726501, output_fired_time: 12.1604213715, propagate_forward_time: 308.1558532715, propagate_backward_time: 475.0512695312, weight_update_time: 1.3392574787, other_time: 10.5575256348
epoch time: 64.7953720093s, input_fired_time: 1.1507347822, output_fired_time: 0.0000000000, propagate_forward_time: 61.9292526245, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7153854370
validation[          , genome 18244] predictions:    9888/  10000 (98.88%), best:    9895/10000 (98.95%), error:       316.45093, best error:       309.14639 on epoch:    49, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 821.4615478516s, input_fired_time: 11.1073284149, output_fired_time: 12.2326898575, propagate_forward_time: 309.8048400879, propagate_backward_time: 477.7628479004, weight_update_time: 1.3430249691, other_time: 10.5538940430
epoch time: 64.0163955688s, input_fired_time: 1.1332439184, output_fired_time: 0.0000000000, propagate_forward_time: 61.1841545105, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6989974976
validation[          , genome 18244] predictions:    9893/  10000 (98.93%), best:    9895/10000 (98.95%), error:       334.10538, best error:       309.14639 on epoch:    49, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 819.0920410156s, input_fired_time: 11.0950794220, output_fired_time: 12.1553096771, propagate_forward_time: 309.3270263672, propagate_backward_time: 475.9603271484, weight_update_time: 1.3434897661, other_time: 10.5542602539
epoch time: 64.7678375244s, input_fired_time: 1.1532933712, output_fired_time: 0.0000000000, propagate_forward_time: 61.9040565491, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7104873657
validation[          , genome 18244] predictions:    9902/  10000 (99.02%), best:    9895/10000 (98.95%), error:       316.81833, best error:       309.14639 on epoch:    49, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 818.4940795898s, input_fired_time: 11.0948028564, output_fired_time: 12.1773719788, propagate_forward_time: 308.9549865723, propagate_backward_time: 475.7062072754, weight_update_time: 1.3410862684, other_time: 10.5607299805
epoch time: 64.8397827148s, input_fired_time: 1.1540757418, output_fired_time: 0.0000000000, propagate_forward_time: 61.9623031616, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7234039307
validation[          , genome 18244] predictions:    9899/  10000 (98.99%), best:    9899/10000 (98.99%), error:       308.26923, best error:       308.26923 on epoch:    57, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 818.1110839844s, input_fired_time: 11.0887241364, output_fired_time: 12.1884393692, propagate_forward_time: 308.8220825195, propagate_backward_time: 475.4669189453, weight_update_time: 1.3417143822, other_time: 10.5449218750
epoch time: 64.8208847046s, input_fired_time: 1.1516416073, output_fired_time: 0.0000000000, propagate_forward_time: 61.9522132874, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7170295715
validation[          , genome 18244] predictions:    9889/  10000 (98.89%), best:    9899/10000 (98.99%), error:       341.48306, best error:       308.26923 on epoch:    57, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 818.4697875977s, input_fired_time: 11.0890817642, output_fired_time: 12.1993064880, propagate_forward_time: 308.9205017090, propagate_backward_time: 475.7144165039, weight_update_time: 1.3415484428, other_time: 10.5464782715
epoch time: 64.7967758179s, input_fired_time: 1.1503978968, output_fired_time: 0.0000000000, propagate_forward_time: 61.9310874939, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7152900696
validation[          , genome 18244] predictions:    9875/  10000 (98.75%), best:    9899/10000 (98.99%), error:       423.64117, best error:       308.26923 on epoch:    57, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 819.7597656250s, input_fired_time: 11.0893545151, output_fired_time: 12.2143487930, propagate_forward_time: 309.0543823242, propagate_backward_time: 476.8364868164, weight_update_time: 1.3423656225, other_time: 10.5651855469
epoch time: 64.7908325195s, input_fired_time: 1.1484795809, output_fired_time: 0.0000000000, propagate_forward_time: 61.9283065796, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7140464783
validation[          , genome 18244] predictions:    9897/  10000 (98.97%), best:    9899/10000 (98.99%), error:       331.54086, best error:       308.26923 on epoch:    57, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 821.4857177734s, input_fired_time: 11.1197805405, output_fired_time: 12.2039842606, propagate_forward_time: 309.8888244629, propagate_backward_time: 477.7790832520, weight_update_time: 1.3417984247, other_time: 10.4940795898
epoch time: 64.7837982178s, input_fired_time: 1.1459321976, output_fired_time: 0.0000000000, propagate_forward_time: 61.9394302368, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6984367371
validation[          , genome 18244] predictions:    9905/  10000 (99.05%), best:    9905/10000 (99.05%), error:       307.47217, best error:       307.47217 on epoch:    61, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 816.6869506836s, input_fired_time: 11.0407629013, output_fired_time: 12.1534385681, propagate_forward_time: 308.6022949219, propagate_backward_time: 474.4654541016, weight_update_time: 1.3420805931, other_time: 10.4249877930
epoch time: 64.7304382324s, input_fired_time: 1.1392034292, output_fired_time: 0.0000000000, propagate_forward_time: 61.8976516724, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6935844421
validation[          , genome 18244] predictions:    9892/  10000 (98.92%), best:    9905/10000 (99.05%), error:       335.94250, best error:       307.47217 on epoch:    61, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 819.5606079102s, input_fired_time: 11.0912408829, output_fired_time: 12.1626453400, propagate_forward_time: 309.6686706543, propagate_backward_time: 476.2070007324, weight_update_time: 1.3407930136, other_time: 10.4310302734
epoch time: 63.3517036438s, input_fired_time: 1.1184899807, output_fired_time: 0.0000000000, propagate_forward_time: 60.5499725342, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6832427979
validation[          , genome 18244] predictions:    9875/  10000 (98.75%), best:    9905/10000 (99.05%), error:       386.59683, best error:       307.47217 on epoch:    61, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 820.7971191406s, input_fired_time: 11.1087369919, output_fired_time: 12.1976413727, propagate_forward_time: 309.6133117676, propagate_backward_time: 477.3718566895, weight_update_time: 1.3432009220, other_time: 10.5055541992
epoch time: 64.7734527588s, input_fired_time: 1.1519334316, output_fired_time: 0.0000000000, propagate_forward_time: 61.9119415283, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7095794678
validation[          , genome 18244] predictions:    9896/  10000 (98.96%), best:    9905/10000 (99.05%), error:       328.19308, best error:       307.47217 on epoch:    61, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 821.8604125977s, input_fired_time: 11.1361055374, output_fired_time: 12.2478771210, propagate_forward_time: 309.9654235840, propagate_backward_time: 478.0168762207, weight_update_time: 1.3423001766, other_time: 10.4941406250
epoch time: 64.7486648560s, input_fired_time: 1.1527687311, output_fired_time: 0.0000000000, propagate_forward_time: 61.8973960876, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6985015869
validation[          , genome 18244] predictions:    9903/  10000 (99.03%), best:    9905/10000 (99.05%), error:       314.09158, best error:       307.47217 on epoch:    61, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 818.1763305664s, input_fired_time: 11.1044492722, output_fired_time: 12.2086954117, propagate_forward_time: 308.8823242188, propagate_backward_time: 475.4802246094, weight_update_time: 1.3433952332, other_time: 10.5006713867
epoch time: 64.7047958374s, input_fired_time: 1.1520258188, output_fired_time: 0.0000000000, propagate_forward_time: 61.8570518494, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6957168579
validation[          , genome 18244] predictions:    9894/  10000 (98.94%), best:    9905/10000 (99.05%), error:       315.67136, best error:       307.47217 on epoch:    61, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 817.0948486328s, input_fired_time: 11.0758142471, output_fired_time: 12.1443405151, propagate_forward_time: 307.8372192383, propagate_backward_time: 475.5451660156, weight_update_time: 1.3449883461, other_time: 10.4923095703
epoch time: 65.1748504639s, input_fired_time: 1.1704550982, output_fired_time: 0.0000000000, propagate_forward_time: 62.2831535339, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7212409973
validation[          , genome 18244] predictions:    9901/  10000 (99.01%), best:    9905/10000 (99.05%), error:       313.24472, best error:       307.47217 on epoch:    61, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 821.4800415039s, input_fired_time: 11.1376552582, output_fired_time: 12.1963567734, propagate_forward_time: 309.6569824219, propagate_backward_time: 477.8176879883, weight_update_time: 1.3411122561, other_time: 10.6713867188
epoch time: 64.8147354126s, input_fired_time: 1.1528230906, output_fired_time: 0.0000000000, propagate_forward_time: 61.9418067932, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7201042175
validation[          , genome 18244] predictions:    9903/  10000 (99.03%), best:    9903/10000 (99.03%), error:       305.25815, best error:       305.25815 on epoch:    68, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 821.4300537109s, input_fired_time: 11.1332359314, output_fired_time: 12.1948070526, propagate_forward_time: 309.9123229980, propagate_backward_time: 477.6653747559, weight_update_time: 1.3419435024, other_time: 10.5242919922
epoch time: 64.8302001953s, input_fired_time: 1.1514998674, output_fired_time: 0.0000000000, propagate_forward_time: 61.9694328308, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7092666626
validation[          , genome 18244] predictions:    9896/  10000 (98.96%), best:    9896/10000 (98.96%), error:       297.21542, best error:       297.21542 on epoch:    69, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 821.6022338867s, input_fired_time: 11.1275386810, output_fired_time: 12.2087192535, propagate_forward_time: 309.7356262207, propagate_backward_time: 478.0362548828, weight_update_time: 1.3414124250, other_time: 10.4940490723
epoch time: 64.7893829346s, input_fired_time: 1.1547473669, output_fired_time: 0.0000000000, propagate_forward_time: 61.9250373840, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7095985413
validation[          , genome 18244] predictions:    9906/  10000 (99.06%), best:    9896/10000 (98.96%), error:       309.99030, best error:       297.21542 on epoch:    69, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 821.2196044922s, input_fired_time: 11.1863288879, output_fired_time: 12.2360210419, propagate_forward_time: 309.2887268066, propagate_backward_time: 477.9415893555, weight_update_time: 1.3511791229, other_time: 10.5669250488
epoch time: 64.3172836304s, input_fired_time: 1.1452602148, output_fired_time: 0.0000000000, propagate_forward_time: 61.4782104492, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6938133240
validation[          , genome 18244] predictions:    9906/  10000 (99.06%), best:    9896/10000 (98.96%), error:       300.46408, best error:       297.21542 on epoch:    69, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

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_1517574602_51_18244.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1517574602_51_18244_1_r715676191_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: 0.977802
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000311178
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.24471e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 72
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 69
read number_validation_images: 10000
read best_validation_predictions: 9896
read best_validation_error: 297.215
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: 18244
read normal distribution: '1 0 0'
generator_str: '1720002017'
read generator: 1720002017
read generated_by_map:
1 crossover 1
reading 117 nodes.
reading 462 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_1517574602_51_18244.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1517574602_51_18244_1_r715676191_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: 0.977802
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000311178
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.24471e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 72
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 69
read number_validation_images: 10000
read best_validation_predictions: 9896
read best_validation_error: 297.215
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: 18244
read normal distribution: '1 0 0'
generator_str: '1720002017'
read generator: 1720002017
read generated_by_map:
1 crossover 1
reading 117 nodes.
reading 462 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_1517574602_51_18244.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1517574602_51_18244_1_r715676191_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: 0.977802
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000311178
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.24471e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 72
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 69
read number_validation_images: 10000
read best_validation_predictions: 9896
read best_validation_error: 297.215
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: 18244
read normal distribution: '1 0 0'
generator_str: '1720002017'
read generator: 1720002017
read generated_by_map:
1 crossover 1
reading 117 nodes.
reading 462 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: 820.715393066406s, input_fired_time: 11.1654233932495, output_fired_time: 12.1822633743286, propagate_forward_time: 309.590606689453, propagate_backward_time: 477.153076171875, weight_update_time: 1.34244620800018, other_time: 10.6240539550781
epoch time: 64.6909561157227s, input_fired_time: 1.15895175933838, output_fired_time: 0, propagate_forward_time: 61.8257789611816, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.70622634887695
validation[          , genome 18244] predictions:    9897/  10000 (98.97%), best:    9896/10000 (98.96%), error:       324.60825, best error:       297.21542 on epoch:    69, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

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_1517574602_51_18244.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1517574602_51_18244_1_r715676191_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: 0.978412
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000295619
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.18248e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 73
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 69
read number_validation_images: 10000
read best_validation_predictions: 9896
read best_validation_error: 297.215
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: 18244
read normal distribution: '1 0 0'
generator_str: '152761532'
read generator: 152761532
read generated_by_map:
1 crossover 1
reading 117 nodes.
reading 462 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: 821.039916992188s, input_fired_time: 11.1404361724854, output_fired_time: 12.2025918960571, propagate_forward_time: 310.07470703125, propagate_backward_time: 477.076385498047, weight_update_time: 1.34357476234436, other_time: 10.5458068847656
epoch time: 63.4692192077637s, input_fired_time: 1.12841355800629, output_fired_time: 0, propagate_forward_time: 60.6643753051758, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.67642974853516
validation[          , genome 18244] predictions:    9891/  10000 (98.91%), best:    9896/10000 (98.96%), error:       320.69125, best error:       297.21542 on epoch:    69, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 820.6621704102s, input_fired_time: 11.2044200897, output_fired_time: 12.2066984177, propagate_forward_time: 309.5271606445, propagate_backward_time: 476.9898986816, weight_update_time: 1.3483331203, other_time: 10.7339782715
epoch time: 64.6641998291s, input_fired_time: 1.1563057899, output_fired_time: 0.0000000000, propagate_forward_time: 61.7953834534, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7125091553
validation[          , genome 18244] predictions:    9889/  10000 (98.89%), best:    9896/10000 (98.96%), error:       327.01224, best error:       297.21542 on epoch:    69, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 817.4176635742s, input_fired_time: 11.1167268753, output_fired_time: 12.1769800186, propagate_forward_time: 307.5937805176, propagate_backward_time: 476.0229797363, weight_update_time: 1.3423057795, other_time: 10.5072021484
epoch time: 64.9732894897s, input_fired_time: 1.1513941288, output_fired_time: 0.0000000000, propagate_forward_time: 62.0914306641, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7304649353
validation[          , genome 18244] predictions:    9903/  10000 (99.03%), best:    9896/10000 (98.96%), error:       306.91763, best error:       297.21542 on epoch:    69, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 816.5180664062s, input_fired_time: 11.1029272079, output_fired_time: 12.1746921539, propagate_forward_time: 308.0941772461, propagate_backward_time: 474.6487731934, weight_update_time: 1.3430207968, other_time: 10.4975280762
epoch time: 64.7480087280s, input_fired_time: 1.1639367342, output_fired_time: 0.0000000000, propagate_forward_time: 61.8816757202, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7023963928
validation[          , genome 18244] predictions:    9891/  10000 (98.91%), best:    9896/10000 (98.96%), error:       325.79733, best error:       297.21542 on epoch:    69, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 816.2124633789s, input_fired_time: 11.0819406509, output_fired_time: 12.1390199661, propagate_forward_time: 308.1251220703, propagate_backward_time: 474.3791198730, weight_update_time: 1.3368295431, other_time: 10.4872131348
epoch time: 64.6858444214s, input_fired_time: 1.1547282934, output_fired_time: 0.0000000000, propagate_forward_time: 61.8205223083, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7105941772
validation[          , genome 18244] predictions:    9887/  10000 (98.87%), best:    9896/10000 (98.96%), error:       331.79147, best error:       297.21542 on epoch:    69, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 816.7535400391s, input_fired_time: 11.1106710434, output_fired_time: 12.1514205933, propagate_forward_time: 307.8351745605, propagate_backward_time: 475.1593322754, weight_update_time: 1.3399218321, other_time: 10.4969482422
epoch time: 64.5060653687s, input_fired_time: 1.1546231508, output_fired_time: 0.0000000000, propagate_forward_time: 61.6553649902, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6960754395
validation[          , genome 18244] predictions:    9889/  10000 (98.89%), best:    9896/10000 (98.96%), error:       320.05804, best error:       297.21542 on epoch:    69, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 820.9868164062s, input_fired_time: 11.1976976395, output_fired_time: 12.2119178772, propagate_forward_time: 309.6068420410, propagate_backward_time: 477.1709289551, weight_update_time: 1.3438190222, other_time: 10.7994384766
epoch time: 64.7608642578s, input_fired_time: 1.1529796124, output_fired_time: 0.0000000000, propagate_forward_time: 61.9058990479, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7019844055
validation[          , genome 18244] predictions:    9892/  10000 (98.92%), best:    9896/10000 (98.96%), error:       325.45157, best error:       297.21542 on epoch:    69, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 818.3186645508s, input_fired_time: 11.1417751312, output_fired_time: 12.1797504425, propagate_forward_time: 308.0316772461, propagate_backward_time: 476.2789611816, weight_update_time: 1.3466823101, other_time: 10.6864929199
epoch time: 64.1379013062s, input_fired_time: 1.1494907141, output_fired_time: 0.0000000000, propagate_forward_time: 61.2796287537, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7087821960
validation[          , genome 18244] predictions:    9902/  10000 (99.02%), best:    9896/10000 (98.96%), error:       315.68134, best error:       297.21542 on epoch:    69, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 821.4007568359s, input_fired_time: 11.1559982300, output_fired_time: 12.2070865631, propagate_forward_time: 309.7611083984, propagate_backward_time: 477.7080078125, weight_update_time: 1.3414701223, other_time: 10.5685424805
epoch time: 64.7507858276s, input_fired_time: 1.1527483463, output_fired_time: 0.0000000000, propagate_forward_time: 61.9009895325, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6970481873
validation[          , genome 18244] predictions:    9901/  10000 (99.01%), best:    9896/10000 (98.96%), error:       313.00995, best error:       297.21542 on epoch:    69, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 814.9140014648s, input_fired_time: 11.1195449829, output_fired_time: 12.0997610092, propagate_forward_time: 308.1424865723, propagate_backward_time: 473.0174560547, weight_update_time: 1.3423277140, other_time: 10.5347595215
epoch time: 64.6580657959s, input_fired_time: 1.1560174227, output_fired_time: 0.0000000000, propagate_forward_time: 61.7936286926, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7084197998
validation[          , genome 18244] predictions:    9896/  10000 (98.96%), best:    9896/10000 (98.96%), error:       330.01047, best error:       297.21542 on epoch:    69, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 816.3407592773s, input_fired_time: 11.1681070328, output_fired_time: 12.1290283203, propagate_forward_time: 307.8820800781, propagate_backward_time: 474.6175231934, weight_update_time: 1.3470356464, other_time: 10.5440368652
epoch time: 64.6169662476s, input_fired_time: 1.1505850554, output_fired_time: 0.0000000000, propagate_forward_time: 61.7610359192, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7053451538
validation[          , genome 18244] predictions:    9896/  10000 (98.96%), best:    9896/10000 (98.96%), error:       335.98193, best error:       297.21542 on epoch:    69, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 819.2344360352s, input_fired_time: 11.1727132797, output_fired_time: 12.1914739609, propagate_forward_time: 309.1656799316, propagate_backward_time: 476.1575927734, weight_update_time: 1.3428465128, other_time: 10.5469665527
epoch time: 64.5837783813s, input_fired_time: 1.1577192545, output_fired_time: 0.0000000000, propagate_forward_time: 61.7048530579, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7212066650
validation[          , genome 18244] predictions:    9898/  10000 (98.98%), best:    9896/10000 (98.96%), error:       330.54071, best error:       297.21542 on epoch:    69, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 818.4747314453s, input_fired_time: 11.1347265244, output_fired_time: 12.1452331543, propagate_forward_time: 308.7219848633, propagate_backward_time: 475.9119567871, weight_update_time: 1.3398348093, other_time: 10.5608825684
epoch time: 64.2557296753s, input_fired_time: 1.1556031704, output_fired_time: 0.0000000000, propagate_forward_time: 61.3735313416, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7265968323
validation[          , genome 18244] predictions:    9895/  10000 (98.95%), best:    9896/10000 (98.96%), error:       315.47998, best error:       297.21542 on epoch:    69, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 813.9494018555s, input_fired_time: 11.0345573425, output_fired_time: 12.0969324112, propagate_forward_time: 306.7823181152, propagate_backward_time: 473.5078430176, weight_update_time: 1.3380351067, other_time: 10.5277709961
epoch time: 64.4627075195s, input_fired_time: 1.1509808302, output_fired_time: 0.0000000000, propagate_forward_time: 61.5967903137, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7149353027
validation[          , genome 18244] predictions:    9884/  10000 (98.84%), best:    9896/10000 (98.96%), error:       337.08167, best error:       297.21542 on epoch:    69, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 816.4847412109s, input_fired_time: 11.1601381302, output_fired_time: 12.1508245468, propagate_forward_time: 306.8493347168, propagate_backward_time: 475.7113342285, weight_update_time: 1.3494740725, other_time: 10.6130981445
epoch time: 64.3672866821s, input_fired_time: 1.1538069248, output_fired_time: 0.0000000000, propagate_forward_time: 61.4969978333, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7164802551
validation[          , genome 18244] predictions:    9899/  10000 (98.99%), best:    9896/10000 (98.96%), error:       321.51440, best error:       297.21542 on epoch:    69, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 821.3248901367s, input_fired_time: 11.1800355911, output_fired_time: 12.2013072968, propagate_forward_time: 309.2803039551, propagate_backward_time: 477.8737182617, weight_update_time: 1.3439238071, other_time: 10.7895202637
epoch time: 63.4529228210s, input_fired_time: 1.1267187595, output_fired_time: 0.0000000000, propagate_forward_time: 60.6440696716, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6821327209
validation[          , genome 18244] predictions:    9896/  10000 (98.96%), best:    9896/10000 (98.96%), error:       326.42435, best error:       297.21542 on epoch:    69, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 809.0833129883s, input_fired_time: 11.0095424652, output_fired_time: 11.9863090515, propagate_forward_time: 305.9474487305, propagate_backward_time: 469.6623535156, weight_update_time: 1.3398257494, other_time: 10.4776611328
epoch time: 64.1250305176s, input_fired_time: 1.1450271606, output_fired_time: 0.0000000000, propagate_forward_time: 61.2732086182, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7067947388
validation[          , genome 18244] predictions:    9893/  10000 (98.93%), best:    9896/10000 (98.96%), error:       321.06619, best error:       297.21542 on epoch:    69, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 809.5101928711s, input_fired_time: 11.0198450089, output_fired_time: 11.9841566086, propagate_forward_time: 306.1184387207, propagate_backward_time: 469.9015808105, weight_update_time: 1.3394851685, other_time: 10.4862060547
epoch time: 63.3084411621s, input_fired_time: 1.1278311014, output_fired_time: 0.0000000000, propagate_forward_time: 60.5023155212, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6782951355
validation[          , genome 18244] predictions:    9902/  10000 (99.02%), best:    9896/10000 (98.96%), error:       332.08273, best error:       297.21542 on epoch:    69, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 820.2059936523s, input_fired_time: 11.1235857010, output_fired_time: 12.1752614975, propagate_forward_time: 309.2607116699, propagate_backward_time: 477.1009216309, weight_update_time: 1.3427435160, other_time: 10.5455322266
epoch time: 64.8277053833s, input_fired_time: 1.1570301056, output_fired_time: 0.0000000000, propagate_forward_time: 61.9685249329, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7021522522
validation[          , genome 18244] predictions:    9899/  10000 (98.99%), best:    9896/10000 (98.96%), error:       335.72867, best error:       297.21542 on epoch:    69, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 821.1385498047s, input_fired_time: 11.0892505646, output_fired_time: 12.1663703918, propagate_forward_time: 308.0523986816, propagate_backward_time: 479.2716064453, weight_update_time: 1.3423027992, other_time: 10.5589294434
epoch time: 64.4950637817s, input_fired_time: 1.1553919315, output_fired_time: 0.0000000000, propagate_forward_time: 61.6331024170, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7065696716
validation[          , genome 18244] predictions:    9895/  10000 (98.95%), best:    9896/10000 (98.96%), error:       327.57748, best error:       297.21542 on epoch:    69, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 814.8209838867s, input_fired_time: 11.1349658966, output_fired_time: 12.1757841110, propagate_forward_time: 307.1837463379, propagate_backward_time: 473.4741821289, weight_update_time: 1.3499139547, other_time: 10.8523254395
epoch time: 63.3661842346s, input_fired_time: 1.1338508129, output_fired_time: 0.0000000000, propagate_forward_time: 60.5411529541, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6911811829
validation[          , genome 18244] predictions:    9897/  10000 (98.97%), best:    9896/10000 (98.96%), error:       331.75647, best error:       297.21542 on epoch:    69, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 815.5952148438s, input_fired_time: 11.0560770035, output_fired_time: 12.1311025620, propagate_forward_time: 307.3472595215, propagate_backward_time: 474.5910949707, weight_update_time: 1.3395955563, other_time: 10.4696655273
epoch time: 64.5254898071s, input_fired_time: 1.1560652256, output_fired_time: 0.0000000000, propagate_forward_time: 61.6552963257, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7141265869
validation[          , genome 18244] predictions:    9901/  10000 (99.01%), best:    9896/10000 (98.96%), error:       316.91959, best error:       297.21542 on epoch:    69, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 815.7797851562s, input_fired_time: 11.0732164383, output_fired_time: 12.0867710114, propagate_forward_time: 307.9240417480, propagate_backward_time: 474.1990051270, weight_update_time: 1.3374522924, other_time: 10.4967041016
epoch time: 64.5020828247s, input_fired_time: 1.1552480459, output_fired_time: 0.0000000000, propagate_forward_time: 61.6394004822, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7074356079
validation[          , genome 18244] predictions:    9901/  10000 (99.01%), best:    9896/10000 (98.96%), error:       316.97079, best error:       297.21542 on epoch:    69, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 816.0824584961s, input_fired_time: 11.1094646454, output_fired_time: 12.0710172653, propagate_forward_time: 308.4849243164, propagate_backward_time: 473.8923034668, weight_update_time: 1.3361825943, other_time: 10.5247497559
epoch time: 64.6443328857s, input_fired_time: 1.1578568220, output_fired_time: 0.0000000000, propagate_forward_time: 61.7797698975, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7067070007
validation[          , genome 18244] predictions:    9897/  10000 (98.97%), best:    9896/10000 (98.96%), error:       330.72842, best error:       297.21542 on epoch:    69, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 814.6829223633s, input_fired_time: 11.1124725342, output_fired_time: 12.1099557877, propagate_forward_time: 306.8676757812, propagate_backward_time: 474.0830993652, weight_update_time: 1.3379575014, other_time: 10.5096740723
epoch time: 64.5742340088s, input_fired_time: 1.1548898220, output_fired_time: 0.0000000000, propagate_forward_time: 61.7149276733, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7044181824
validation[          , genome 18244] predictions:    9901/  10000 (99.01%), best:    9896/10000 (98.96%), error:       323.99609, best error:       297.21542 on epoch:    69, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 817.3518676758s, input_fired_time: 11.1806192398, output_fired_time: 12.1285820007, propagate_forward_time: 307.8287658691, propagate_backward_time: 475.6481018066, weight_update_time: 1.3369582891, other_time: 10.5657958984
epoch time: 64.2779922485s, input_fired_time: 1.1528366804, output_fired_time: 0.0000000000, propagate_forward_time: 61.4028358459, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7223205566
validation[          , genome 18244] predictions:    9894/  10000 (98.94%), best:    9896/10000 (98.96%), error:       330.19839, best error:       297.21542 on epoch:    69, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 817.1389770508s, input_fired_time: 11.1103324890, output_fired_time: 12.1256189346, propagate_forward_time: 307.8264465332, propagate_backward_time: 475.5442504883, weight_update_time: 1.3371398449, other_time: 10.5323181152
epoch time: 64.2643432617s, input_fired_time: 1.1514980793, output_fired_time: 0.0000000000, propagate_forward_time: 61.4043083191, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7085380554
validation[          , genome 18244] predictions:    9899/  10000 (98.99%), best:    9896/10000 (98.96%), error:       319.63016, best error:       297.21542 on epoch:    69, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 821.9249267578s, input_fired_time: 11.1925830841, output_fired_time: 12.2231473923, propagate_forward_time: 309.1902160645, propagate_backward_time: 478.8105773926, weight_update_time: 1.3422349691, other_time: 10.5084228516
epoch time: 64.8591461182s, input_fired_time: 1.1608271599, output_fired_time: 0.0000000000, propagate_forward_time: 62.0043525696, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6939659119
validation[          , genome 18244] predictions:    9895/  10000 (98.95%), best:    9896/10000 (98.96%), error:       341.04700, best error:       297.21542 on epoch:    69, 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: 323.3566894531s, input_fired_time: 5.8023996353, output_fired_time: 0.0000000000, propagate_forward_time: 309.0516052246, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.5026855469
best training[          , genome 18244] predictions:   49998/  50000 (100.00%), best:    9896/10000 (98.96%), error:        92.34021, best error:       297.21542 on epoch:    69, 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: 64.5552368164s, input_fired_time: 1.1359832287, output_fired_time: 0.0000000000, propagate_forward_time: 61.7306938171, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6885604858
   testing[          , genome 18244] predictions:    9905/  10000 (99.05%), best:    9896/10000 (98.96%), error:       301.09280, best error:       297.21542 on epoch:    69, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
13:32:27 (5864): called boinc_finish(0)

</stderr_txt>
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