Nameexact_genome_1512568488_44_4475_1
Workunit2593683
Created7 Dec 2017, 10:09:20 UTC
Sent7 Dec 2017, 10:13:12 UTC
Report deadline14 Dec 2017, 10:37:03 UTC
Received7 Dec 2017, 23:52:35 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time2 hours 57 min 52 sec
CPU time2 hours 32 min 8 sec
Validate stateValid
Credit1,754.14
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size155.10 MB
Peak swap size158.03 MB
Peak disk usage1.90 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
%), error:      1043.64771, best error:       848.45496 on epoch:    24, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 93.4814605713s, input_fired_time: 1.2765035629, output_fired_time: 0.7786607146, propagate_forward_time: 34.6308326721, propagate_backward_time: 54.5160522461, weight_update_time: 0.0955817476, other_time: 2.2794075012
epoch time: 7.1557374001s, input_fired_time: 0.1169002503, output_fired_time: 0.0000000000, propagate_forward_time: 6.6819844246, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3568525314
validation[          , genome  4475] predictions:    9728/  10000 (97.28%), best:    9739/10000 (97.39%), error:       922.07184, best error:       848.45496 on epoch:    24, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 93.5004730225s, input_fired_time: 1.5161452293, output_fired_time: 1.2801162004, propagate_forward_time: 30.9357852936, propagate_backward_time: 56.9982376099, weight_update_time: 0.3445843756, other_time: 2.7701950073
epoch time: 7.1499023438s, input_fired_time: 0.1163887605, output_fired_time: 0.0000000000, propagate_forward_time: 6.6772994995, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3562140465
validation[          , genome  4475] predictions:    9755/  10000 (97.55%), best:    9755/10000 (97.55%), error:       823.92950, best error:       823.92950 on epoch:    28, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 93.0179214478s, input_fired_time: 1.2698138952, output_fired_time: 1.2728077173, propagate_forward_time: 30.9388561249, propagate_backward_time: 56.5103111267, weight_update_time: 0.3447735608, other_time: 3.0261344910
epoch time: 7.1528682709s, input_fired_time: 0.3672064245, output_fired_time: 0.0000000000, propagate_forward_time: 6.4242534637, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3614082336
validation[          , genome  4475] predictions:    9734/  10000 (97.34%), best:    9755/10000 (97.55%), error:       902.72845, best error:       823.92950 on epoch:    28, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 93.3981552124s, input_fired_time: 1.2671624422, output_fired_time: 0.7819979191, propagate_forward_time: 32.0980949402, propagate_backward_time: 56.4923629761, weight_update_time: 0.0942505300, other_time: 2.7585334778
epoch time: 7.3412661552s, input_fired_time: 0.1191520989, output_fired_time: 0.0000000000, propagate_forward_time: 6.8568515778, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3652625084
validation[          , genome  4475] predictions:    9735/  10000 (97.35%), best:    9755/10000 (97.55%), error:       929.84753, best error:       823.92950 on epoch:    28, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 93.5606307983s, input_fired_time: 1.7707778215, output_fired_time: 0.7758843303, propagate_forward_time: 32.2398262024, propagate_backward_time: 56.4971618652, weight_update_time: 0.0951204076, other_time: 2.2769813538
epoch time: 7.1217045784s, input_fired_time: 0.1162843034, output_fired_time: 0.0000000000, propagate_forward_time: 6.3947215080, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6106987000
validation[          , genome  4475] predictions:    9719/  10000 (97.19%), best:    9755/10000 (97.55%), error:       974.63470, best error:       823.92950 on epoch:    28, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 92.3643569946s, input_fired_time: 2.0126206875, output_fired_time: 1.0215677023, propagate_forward_time: 29.5886039734, propagate_backward_time: 57.2303352356, weight_update_time: 0.0940830782, other_time: 2.5112304688
epoch time: 7.1226630211s, input_fired_time: 0.1181966886, output_fired_time: 0.0000000000, propagate_forward_time: 6.6446542740, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3598122597
validation[          , genome  4475] predictions:    9719/  10000 (97.19%), best:    9755/10000 (97.55%), error:       943.32080, best error:       823.92950 on epoch:    28, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 92.3149795532s, input_fired_time: 1.2672910690, output_fired_time: 0.7729586959, propagate_forward_time: 31.9141635895, propagate_backward_time: 55.8230628967, weight_update_time: 0.0943575203, other_time: 2.5375099182
epoch time: 7.1380486488s, input_fired_time: 0.1182954684, output_fired_time: 0.0000000000, propagate_forward_time: 6.6603369713, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3594160080
validation[          , genome  4475] predictions:    9704/  10000 (97.04%), best:    9755/10000 (97.55%), error:       967.48730, best error:       823.92950 on epoch:    28, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 92.7637634277s, input_fired_time: 1.0219639540, output_fired_time: 1.0300464630, propagate_forward_time: 32.2343902588, propagate_backward_time: 55.2002029419, weight_update_time: 0.0949335322, other_time: 3.2771606445
epoch time: 7.1548976898s, input_fired_time: 0.1180999130, output_fired_time: 0.0000000000, propagate_forward_time: 6.6777906418, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3590073586
validation[          , genome  4475] predictions:    9686/  10000 (96.86%), best:    9755/10000 (97.55%), error:      1034.97119, best error:       823.92950 on epoch:    28, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 92.4504699707s, input_fired_time: 1.0199054480, output_fired_time: 1.0272864103, propagate_forward_time: 34.2432518005, propagate_backward_time: 53.8933181763, weight_update_time: 0.0942167267, other_time: 2.2667121887
epoch time: 7.1478571892s, input_fired_time: 0.1182668358, output_fired_time: 0.0000000000, propagate_forward_time: 6.4187746048, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6108155251
validation[          , genome  4475] predictions:    9724/  10000 (97.24%), best:    9755/10000 (97.55%), error:       914.51050, best error:       823.92950 on epoch:    28, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 83.8623733521s, input_fired_time: 1.2722116709, output_fired_time: 0.7703605890, propagate_forward_time: 30.9850654602, propagate_backward_time: 48.5667419434, weight_update_time: 0.0943207070, other_time: 2.2679939270
epoch time: 5.2636547089s, input_fired_time: 0.1162187606, output_fired_time: 0.0000000000, propagate_forward_time: 4.7954902649, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3519458771
validation[          , genome  4475] predictions:    9714/  10000 (97.14%), best:    9755/10000 (97.55%), error:       920.04169, best error:       823.92950 on epoch:    28, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 68.3252487183s, input_fired_time: 1.0047304630, output_fired_time: 0.7603845000, propagate_forward_time: 24.0301532745, propagate_backward_time: 40.5632553101, weight_update_time: 0.0919669867, other_time: 1.9667282104
epoch time: 5.2723255157s, input_fired_time: 0.1161613986, output_fired_time: 0.0000000000, propagate_forward_time: 4.8046827316, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3514814377
validation[          , genome  4475] predictions:    9737/  10000 (97.37%), best:    9755/10000 (97.55%), error:       885.36420, best error:       823.92950 on epoch:    28, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 68.2990112305s, input_fired_time: 1.0057569742, output_fired_time: 0.7603189945, propagate_forward_time: 24.0118732452, propagate_backward_time: 40.5527687073, weight_update_time: 0.0918988734, other_time: 1.9682884216
epoch time: 5.2624888420s, input_fired_time: 0.1143017635, output_fired_time: 0.0000000000, propagate_forward_time: 4.7970323563, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3511548042
validation[          , genome  4475] predictions:    9715/  10000 (97.15%), best:    9755/10000 (97.55%), error:       965.15833, best error:       823.92950 on epoch:    28, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 68.3709869385s, input_fired_time: 1.0040049553, output_fired_time: 0.7620142102, propagate_forward_time: 24.0433902740, propagate_backward_time: 40.5928611755, weight_update_time: 0.0919874385, other_time: 1.9687156677
epoch time: 5.2800974846s, input_fired_time: 0.1150022373, output_fired_time: 0.0000000000, propagate_forward_time: 4.8117461205, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3533492088
validation[          , genome  4475] predictions:    9699/  10000 (96.99%), best:    9755/10000 (97.55%), error:       999.17389, best error:       823.92950 on epoch:    28, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 68.3999252319s, input_fired_time: 1.0052288771, output_fired_time: 0.7604714036, propagate_forward_time: 24.0468254089, propagate_backward_time: 40.6111412048, weight_update_time: 0.0925522149, other_time: 1.9762573242
epoch time: 5.2614617348s, input_fired_time: 0.1158280969, output_fired_time: 0.0000000000, propagate_forward_time: 4.7945370674, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3510966301
validation[          , genome  4475] predictions:    9749/  10000 (97.49%), best:    9755/10000 (97.55%), error:       855.04138, best error:       823.92950 on epoch:    28, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 68.3521881104s, input_fired_time: 1.0062125921, output_fired_time: 0.7605221868, propagate_forward_time: 24.0213699341, propagate_backward_time: 40.5902862549, weight_update_time: 0.0921866074, other_time: 1.9738006592
epoch time: 5.2640466690s, input_fired_time: 0.1168050170, output_fired_time: 0.0000000000, propagate_forward_time: 4.7954692841, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3517723083
validation[          , genome  4475] predictions:    9642/  10000 (96.42%), best:    9755/10000 (97.55%), error:      1121.44177, best error:       823.92950 on epoch:    28, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 68.3812942505s, input_fired_time: 1.0077162981, output_fired_time: 0.7618042231, propagate_forward_time: 24.0392761230, propagate_backward_time: 40.5945396423, weight_update_time: 0.0922122449, other_time: 1.9779624939
epoch time: 5.2631545067s, input_fired_time: 0.1160871685, output_fired_time: 0.0000000000, propagate_forward_time: 4.7960438728, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3510236740
validation[          , genome  4475] predictions:    9681/  10000 (96.81%), best:    9755/10000 (97.55%), error:      1036.32080, best error:       823.92950 on epoch:    28, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 68.3580932617s, input_fired_time: 1.0086238384, output_fired_time: 0.7612409592, propagate_forward_time: 24.0395030975, propagate_backward_time: 40.5871810913, weight_update_time: 0.0916797519, other_time: 1.9615478516
epoch time: 5.2991847992s, input_fired_time: 0.1169652417, output_fired_time: 0.0000000000, propagate_forward_time: 4.8291354179, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3530840874
validation[          , genome  4475] predictions:    9676/  10000 (96.76%), best:    9755/10000 (97.55%), error:      1138.72522, best error:       823.92950 on epoch:    28, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 68.2946090698s, input_fired_time: 1.0056840181, output_fired_time: 0.7601321340, propagate_forward_time: 24.0164146423, propagate_backward_time: 40.5530624390, weight_update_time: 0.0917923823, other_time: 1.9593162537
epoch time: 5.2635507584s, input_fired_time: 0.1175637990, output_fired_time: 0.0000000000, propagate_forward_time: 4.7959876060, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3499994278
validation[          , genome  4475] predictions:    9684/  10000 (96.84%), best:    9755/10000 (97.55%), error:      1003.09222, best error:       823.92950 on epoch:    28, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 68.3972702026s, input_fired_time: 1.0081979036, output_fired_time: 0.7617652416, propagate_forward_time: 24.0561199188, propagate_backward_time: 40.6064605713, weight_update_time: 0.0918973386, other_time: 1.9647216797
epoch time: 5.2793998718s, input_fired_time: 0.1160067618, output_fired_time: 0.0000000000, propagate_forward_time: 4.8108496666, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3525433540
validation[          , genome  4475] predictions:    9726/  10000 (97.26%), best:    9755/10000 (97.55%), error:       945.16632, best error:       823.92950 on epoch:    28, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 68.2915191650s, input_fired_time: 1.0069440603, output_fired_time: 0.7599419951, propagate_forward_time: 24.0067577362, propagate_backward_time: 40.5555343628, weight_update_time: 0.0919044763, other_time: 1.9623413086
epoch time: 5.2634000778s, input_fired_time: 0.1147994846, output_fired_time: 0.0000000000, propagate_forward_time: 4.7965335846, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3520669937
validation[          , genome  4475] predictions:    9660/  10000 (96.60%), best:    9755/10000 (97.55%), error:      1067.59900, best error:       823.92950 on epoch:    28, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 68.2545089722s, input_fired_time: 1.0059626102, output_fired_time: 0.7612779140, propagate_forward_time: 24.0014190674, propagate_backward_time: 40.5319786072, weight_update_time: 0.0913776383, other_time: 1.9538688660
epoch time: 5.2694044113s, input_fired_time: 0.1179739684, output_fired_time: 0.0000000000, propagate_forward_time: 4.8008623123, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3505682945
validation[          , genome  4475] predictions:    9713/  10000 (97.13%), best:    9755/10000 (97.55%), error:       925.87762, best error:       823.92950 on epoch:    28, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 68.4513549805s, input_fired_time: 1.0123142004, output_fired_time: 0.7622392774, propagate_forward_time: 24.0619487762, propagate_backward_time: 40.6429176331, weight_update_time: 0.0921461582, other_time: 1.9719352722
epoch time: 5.2763519287s, input_fired_time: 0.1166493818, output_fired_time: 0.0000000000, propagate_forward_time: 4.8076424599, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3520603180
validation[          , genome  4475] predictions:    9725/  10000 (97.25%), best:    9755/10000 (97.55%), error:       958.19556, best error:       823.92950 on epoch:    28, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 68.3261566162s, input_fired_time: 1.0089529753, output_fired_time: 0.7606909871, propagate_forward_time: 24.0120925903, propagate_backward_time: 40.5748023987, weight_update_time: 0.0922009423, other_time: 1.9696235657
epoch time: 5.2666692734s, input_fired_time: 0.1179682985, output_fired_time: 0.0000000000, propagate_forward_time: 4.7982225418, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3504786491
validation[          , genome  4475] predictions:    9701/  10000 (97.01%), best:    9755/10000 (97.55%), error:       962.95111, best error:       823.92950 on epoch:    28, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 68.3958129883s, input_fired_time: 1.0099622011, output_fired_time: 0.7608169913, propagate_forward_time: 24.0463218689, propagate_backward_time: 40.6077613831, weight_update_time: 0.0922992378, other_time: 1.9709472656
epoch time: 5.2611560822s, input_fired_time: 0.1151323244, output_fired_time: 0.0000000000, propagate_forward_time: 4.7950615883, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3509621620
validation[          , genome  4475] predictions:    9703/  10000 (97.03%), best:    9755/10000 (97.55%), error:       977.98450, best error:       823.92950 on epoch:    28, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 68.3019943237s, input_fired_time: 1.0105901957, output_fired_time: 0.7605293393, propagate_forward_time: 24.0097808838, propagate_backward_time: 40.5486946106, weight_update_time: 0.0922224447, other_time: 1.9724006653
epoch time: 5.2646884918s, input_fired_time: 0.1174783036, output_fired_time: 0.0000000000, propagate_forward_time: 4.7959756851, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3512344360
validation[          , genome  4475] predictions:    9704/  10000 (97.04%), best:    9755/10000 (97.55%), error:       971.24115, best error:       823.92950 on epoch:    28, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 68.3524780273s, input_fired_time: 1.0127174854, output_fired_time: 0.7601519823, propagate_forward_time: 24.0266342163, propagate_backward_time: 40.5776596069, weight_update_time: 0.0924508125, other_time: 1.9753112793
epoch time: 5.2675342560s, input_fired_time: 0.1162704825, output_fired_time: 0.0000000000, propagate_forward_time: 4.7980914116, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3531723022
validation[          , genome  4475] predictions:    9622/  10000 (96.22%), best:    9755/10000 (97.55%), error:      1272.17102, best error:       823.92950 on epoch:    28, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 68.3009490967s, input_fired_time: 1.0101808310, output_fired_time: 0.7604376674, propagate_forward_time: 24.0049629211, propagate_backward_time: 40.5654602051, weight_update_time: 0.0919991881, other_time: 1.9599113464
epoch time: 5.2617239952s, input_fired_time: 0.1169970259, output_fired_time: 0.0000000000, propagate_forward_time: 4.7953228951, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3494038582
validation[          , genome  4475] predictions:    9717/  10000 (97.17%), best:    9755/10000 (97.55%), error:       923.23224, best error:       823.92950 on epoch:    28, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 68.2756347656s, input_fired_time: 1.0095741749, output_fired_time: 0.7600781322, propagate_forward_time: 24.0066089630, propagate_backward_time: 40.5359497070, weight_update_time: 0.0920284092, other_time: 1.9634246826
epoch time: 5.2617526054s, input_fired_time: 0.1171905622, output_fired_time: 0.0000000000, propagate_forward_time: 4.7950987816, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3494634628
validation[          , genome  4475] predictions:    9742/  10000 (97.42%), best:    9755/10000 (97.55%), error:       882.58722, best error:       823.92950 on epoch:    28, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 68.3126831055s, input_fired_time: 1.0120792389, output_fired_time: 0.7601379752, propagate_forward_time: 24.0202388763, propagate_backward_time: 40.5550575256, weight_update_time: 0.0920192078, other_time: 1.9651679993
epoch time: 5.2624292374s, input_fired_time: 0.1167374328, output_fired_time: 0.0000000000, propagate_forward_time: 4.7958292961, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3498625755
validation[          , genome  4475] predictions:    9724/  10000 (97.24%), best:    9755/10000 (97.55%), error:       932.38745, best error:       823.92950 on epoch:    28, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 68.3454666138s, input_fired_time: 1.0124580860, output_fired_time: 0.7614964843, propagate_forward_time: 24.0260772705, propagate_backward_time: 40.5832633972, weight_update_time: 0.0920115262, other_time: 1.9621696472
epoch time: 5.2797031403s, input_fired_time: 0.1174020246, output_fired_time: 0.0000000000, propagate_forward_time: 4.8119845390, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3503165245
validation[          , genome  4475] predictions:    9731/  10000 (97.31%), best:    9755/10000 (97.55%), error:       899.96753, best error:       823.92950 on epoch:    28, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 68.4815597534s, input_fired_time: 1.0140006542, output_fired_time: 0.7612571716, propagate_forward_time: 24.0922279358, propagate_backward_time: 40.6410026550, weight_update_time: 0.0925276354, other_time: 1.9730682373
epoch time: 5.2628607750s, input_fired_time: 0.1148000211, output_fired_time: 0.0000000000, propagate_forward_time: 4.7980227470, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3500380516
validation[          , genome  4475] predictions:    9682/  10000 (96.82%), best:    9755/10000 (97.55%), error:      1024.41345, best error:       823.92950 on epoch:    28, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 72.9560012817s, input_fired_time: 1.0146580935, output_fired_time: 0.7641316056, propagate_forward_time: 25.5686550140, propagate_backward_time: 43.6392555237, weight_update_time: 0.0921159536, other_time: 1.9693031311
epoch time: 7.3333749771s, input_fired_time: 0.1187649891, output_fired_time: 0.0000000000, propagate_forward_time: 6.8562116623, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3583984375
validation[          , genome  4475] predictions:    9732/  10000 (97.32%), best:    9755/10000 (97.55%), error:       871.99988, best error:       823.92950 on epoch:    28, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 91.7761917114s, input_fired_time: 1.5252561569, output_fired_time: 1.0164691210, propagate_forward_time: 31.5013980865, propagate_backward_time: 54.7204971313, weight_update_time: 0.0941353440, other_time: 3.0125732422
epoch time: 7.0561499596s, input_fired_time: 0.1187265962, output_fired_time: 0.0000000000, propagate_forward_time: 6.5820922852, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3553309441
validation[          , genome  4475] predictions:    9729/  10000 (97.29%), best:    9755/10000 (97.55%), error:       936.29999, best error:       823.92950 on epoch:    28, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4475.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4475_1_r672531602_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: 0.967426
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000575872
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.30349e-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: 60
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 28
read number_validation_images: 10000
read best_validation_predictions: 9755
read best_validation_error: 823.93
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: 4475
read normal distribution: '1 0 0'
generator_str: '1208994600'
read generator: 1208994600
read generated_by_map:
1 crossover 1
reading 21 nodes.
reading 46 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: 115.491607666016s, input_fired_time: 1.15972316265106, output_fired_time: 1.44311630725861, propagate_forward_time: 39.3633041381836, propagate_backward_time: 69.8862991333008, weight_update_time: 0.364099770784378, other_time: 3.63916778564453
epoch time: 9.91215896606445s, input_fired_time: 0.396203726530075, output_fired_time: 0, propagate_forward_time: 8.81156063079834, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.704394340515137
validation[          , genome  4475] predictions:    9736/  10000 (97.36%), best:    9755/10000 (97.55%), error:       848.69916, best error:       823.92950 on epoch:    28, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 113.3733749390s, input_fired_time: 1.3934196234, output_fired_time: 0.9208706617, propagate_forward_time: 37.6680030823, propagate_backward_time: 69.5497741699, weight_update_time: 0.1117839664, other_time: 3.8413085938
epoch time: 10.9104566574s, input_fired_time: 0.1568665355, output_fired_time: 0.0000000000, propagate_forward_time: 9.7765159607, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9770746231
validation[          , genome  4475] predictions:    9750/  10000 (97.50%), best:    9755/10000 (97.55%), error:       860.35126, best error:       823.92950 on epoch:    28, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 126.5406265259s, input_fired_time: 1.4678047895, output_fired_time: 1.2709639072, propagate_forward_time: 42.3333282471, propagate_backward_time: 78.6949615479, weight_update_time: 0.1219279096, other_time: 2.7735671997
epoch time: 8.8118181229s, input_fired_time: 0.1358939856, output_fired_time: 0.0000000000, propagate_forward_time: 8.2620515823, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4138727188
validation[          , genome  4475] predictions:    9722/  10000 (97.22%), best:    9755/10000 (97.55%), error:       918.07977, best error:       823.92950 on epoch:    28, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 117.6707153320s, input_fired_time: 1.4196199179, output_fired_time: 1.2009028196, propagate_forward_time: 44.7784843445, propagate_backward_time: 65.1270446777, weight_update_time: 0.1152143627, other_time: 5.1446685791
epoch time: 11.7504882813s, input_fired_time: 0.4146914482, output_fired_time: 0.0000000000, propagate_forward_time: 10.8370599747, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4987363815
validation[          , genome  4475] predictions:    9736/  10000 (97.36%), best:    9755/10000 (97.55%), error:       909.94800, best error:       823.92950 on epoch:    28, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 118.5582275391s, input_fired_time: 1.4302978516, output_fired_time: 1.7097196579, propagate_forward_time: 42.5815505981, propagate_backward_time: 69.9059677124, weight_update_time: 0.1159460619, other_time: 2.9306945801
epoch time: 9.0144367218s, input_fired_time: 0.1371704936, output_fired_time: 0.0000000000, propagate_forward_time: 8.4465599060, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4307060242
validation[          , genome  4475] predictions:    9725/  10000 (97.25%), best:    9755/10000 (97.55%), error:       965.46881, best error:       823.92950 on epoch:    28, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 126.0372085571s, input_fired_time: 1.4633309841, output_fired_time: 1.5126773119, propagate_forward_time: 48.8324241638, propagate_backward_time: 69.4619293213, weight_update_time: 0.1216068491, other_time: 4.7668457031
epoch time: 10.2690277100s, input_fired_time: 0.1520458907, output_fired_time: 0.0000000000, propagate_forward_time: 9.4052038193, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7117776871
validation[          , genome  4475] predictions:    9692/  10000 (96.92%), best:    9755/10000 (97.55%), error:      1042.86340, best error:       823.92950 on epoch:    28, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 130.1310729980s, input_fired_time: 2.2363448143, output_fired_time: 1.7963461876, propagate_forward_time: 49.5268478394, propagate_backward_time: 73.7585220337, weight_update_time: 0.1248099059, other_time: 2.8130111694
epoch time: 10.1085233688s, input_fired_time: 0.1504628211, output_fired_time: 0.0000000000, propagate_forward_time: 9.2529363632, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7051239014
validation[          , genome  4475] predictions:    9746/  10000 (97.46%), best:    9755/10000 (97.55%), error:       858.95050, best error:       823.92950 on epoch:    28, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 129.1369476318s, input_fired_time: 2.2263534069, output_fired_time: 1.0345791578, propagate_forward_time: 47.7998504639, propagate_backward_time: 74.5303421021, weight_update_time: 0.1239953861, other_time: 3.5458221436
epoch time: 9.2365245819s, input_fired_time: 0.3917042017, output_fired_time: 0.0000000000, propagate_forward_time: 8.4166717529, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4281482697
validation[          , genome  4475] predictions:    9721/  10000 (97.21%), best:    9755/10000 (97.55%), error:       931.56885, best error:       823.92950 on epoch:    28, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 125.7883453369s, input_fired_time: 1.2140606642, output_fired_time: 1.2613971233, propagate_forward_time: 45.5169525146, propagate_backward_time: 74.5486907959, weight_update_time: 0.3716188967, other_time: 3.2472457886
epoch time: 9.6424140930s, input_fired_time: 0.1431768537, output_fired_time: 0.0000000000, propagate_forward_time: 9.0614805222, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4377565384
validation[          , genome  4475] predictions:    9708/  10000 (97.08%), best:    9755/10000 (97.55%), error:       973.75464, best error:       823.92950 on epoch:    28, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 121.5513916016s, input_fired_time: 1.6901737452, output_fired_time: 1.2315300703, propagate_forward_time: 50.5715675354, propagate_backward_time: 64.6090316772, weight_update_time: 0.3682011664, other_time: 3.4490890503
epoch time: 9.3660202026s, input_fired_time: 0.1401918381, output_fired_time: 0.0000000000, propagate_forward_time: 8.5515336990, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6742944717
validation[          , genome  4475] predictions:    9733/  10000 (97.33%), best:    9755/10000 (97.55%), error:       934.27362, best error:       823.92950 on epoch:    28, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 135.4012451172s, input_fired_time: 2.0179586411, output_fired_time: 2.0815610886, propagate_forward_time: 53.2119483948, propagate_backward_time: 74.2115707397, weight_update_time: 0.1285450608, other_time: 3.8782119751
epoch time: 10.4751710892s, input_fired_time: 0.1508990079, output_fired_time: 0.0000000000, propagate_forward_time: 9.6140804291, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7101917267
validation[          , genome  4475] predictions:    9695/  10000 (96.95%), best:    9755/10000 (97.55%), error:      1021.97339, best error:       823.92950 on epoch:    28, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 135.3120574951s, input_fired_time: 1.5171395540, output_fired_time: 1.5787131786, propagate_forward_time: 50.6941757202, propagate_backward_time: 77.1374893188, weight_update_time: 0.1288900971, other_time: 4.3845367432
epoch time: 11.1224727631s, input_fired_time: 0.4118065536, output_fired_time: 0.0000000000, propagate_forward_time: 10.2251920700, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4854745865
validation[          , genome  4475] predictions:    9727/  10000 (97.27%), best:    9755/10000 (97.55%), error:       910.85132, best error:       823.92950 on epoch:    28, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4475.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4475_1_r672531602_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: 28
read number_validation_images: 10000
read best_validation_predictions: 9755
read best_validation_error: 823.93
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: 4475
read normal distribution: '1 0 0'
generator_str: '2117963939'
read generator: 2117963939
read generated_by_map:
1 crossover 1
reading 21 nodes.
reading 46 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: 125.782180786133s, input_fired_time: 1.4274228811264, output_fired_time: 1.31149876117706, propagate_forward_time: 46.7352256774902, propagate_backward_time: 73.1311492919922, weight_update_time: 0.169675037264824, other_time: 3.1768798828125
epoch time: 9.59132385253906s, input_fired_time: 0.162367269396782, output_fired_time: 0, propagate_forward_time: 8.88379669189453, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.545160293579102
validation[          , genome  4475] predictions:    9732/  10000 (97.32%), best:    9755/10000 (97.55%), error:       890.56757, best error:       823.92950 on epoch:    28, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 121.5358200073s, input_fired_time: 1.4185823202, output_fired_time: 1.2358314991, propagate_forward_time: 45.0037765503, propagate_backward_time: 70.7763977051, weight_update_time: 0.1380277276, other_time: 3.1012344360
epoch time: 9.6927938461s, input_fired_time: 0.1831113994, output_fired_time: 0.0000000000, propagate_forward_time: 9.0044069290, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5052757263
validation[          , genome  4475] predictions:    9703/  10000 (97.03%), best:    9755/10000 (97.55%), error:      1005.25525, best error:       823.92950 on epoch:    28, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 125.4315795898s, input_fired_time: 1.4522897005, output_fired_time: 1.3045710325, propagate_forward_time: 46.7767753601, propagate_backward_time: 72.6296768188, weight_update_time: 0.1554581225, other_time: 3.2682571411
epoch time: 10.1939716339s, input_fired_time: 0.1855101287, output_fired_time: 0.0000000000, propagate_forward_time: 9.4340963364, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5743656158
validation[          , genome  4475] predictions:    9690/  10000 (96.90%), best:    9755/10000 (97.55%), error:      1015.46033, best error:       823.92950 on epoch:    28, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 125.0938415527s, input_fired_time: 1.4620014429, output_fired_time: 1.2321915627, propagate_forward_time: 46.6703071594, propagate_backward_time: 72.3609313965, weight_update_time: 0.2032306194, other_time: 3.3684082031
epoch time: 10.2247667313s, input_fired_time: 0.1760383993, output_fired_time: 0.0000000000, propagate_forward_time: 9.4597539902, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5889739990
validation[          , genome  4475] predictions:    9647/  10000 (96.47%), best:    9755/10000 (97.55%), error:      1145.28015, best error:       823.92950 on epoch:    28, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 124.6525878906s, input_fired_time: 1.4086976051, output_fired_time: 1.2969834805, propagate_forward_time: 46.8363647461, propagate_backward_time: 72.0145797729, weight_update_time: 0.1397045702, other_time: 3.0959625244
epoch time: 10.3749275208s, input_fired_time: 0.1668601185, output_fired_time: 0.0000000000, propagate_forward_time: 9.6892347336, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5188322067
validation[          , genome  4475] predictions:    9742/  10000 (97.42%), best:    9755/10000 (97.55%), error:       908.11133, best error:       823.92950 on epoch:    28, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 125.7868041992s, input_fired_time: 1.5751106739, output_fired_time: 1.3940453529, propagate_forward_time: 46.5903205872, propagate_backward_time: 73.1308975220, weight_update_time: 0.1405785382, other_time: 3.0964279175
epoch time: 9.8866052628s, input_fired_time: 0.1770425141, output_fired_time: 0.0000000000, propagate_forward_time: 9.1468944550, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5626678467
validation[          , genome  4475] predictions:    9690/  10000 (96.90%), best:    9755/10000 (97.55%), error:      1048.10315, best error:       823.92950 on epoch:    28, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 126.0150756836s, input_fired_time: 1.5519249439, output_fired_time: 1.4936627150, propagate_forward_time: 46.6804008484, propagate_backward_time: 73.2987823486, weight_update_time: 0.1419446021, other_time: 2.9903106689
epoch time: 9.5306224823s, input_fired_time: 0.1637660712, output_fired_time: 0.0000000000, propagate_forward_time: 8.7490091324, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6178474426
validation[          , genome  4475] predictions:    9734/  10000 (97.34%), best:    9755/10000 (97.55%), error:       875.69031, best error:       823.92950 on epoch:    28, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 124.4306335449s, input_fired_time: 1.5124565363, output_fired_time: 1.3218673468, propagate_forward_time: 46.2963981628, propagate_backward_time: 72.3000946045, weight_update_time: 0.1407009214, other_time: 2.9998168945
epoch time: 10.1481618881s, input_fired_time: 0.1713458896, output_fired_time: 0.0000000000, propagate_forward_time: 9.4630270004, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5137891769
validation[          , genome  4475] predictions:    9727/  10000 (97.27%), best:    9755/10000 (97.55%), error:       947.51105, best error:       823.92950 on epoch:    28, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 124.6980438232s, input_fired_time: 1.4568040371, output_fired_time: 1.3045393229, propagate_forward_time: 46.2173347473, propagate_backward_time: 72.7204513550, weight_update_time: 0.1418426931, other_time: 2.9989089966
epoch time: 9.0839042664s, input_fired_time: 0.1859104931, output_fired_time: 0.0000000000, propagate_forward_time: 8.3585071564, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5394868851
validation[          , genome  4475] predictions:    9694/  10000 (96.94%), best:    9755/10000 (97.55%), error:      1038.79553, best error:       823.92950 on epoch:    28, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 118.4582443237s, input_fired_time: 1.4932938814, output_fired_time: 1.4052869081, propagate_forward_time: 44.0862197876, propagate_backward_time: 68.4019317627, weight_update_time: 0.1359121203, other_time: 3.0715103149
epoch time: 8.8025016785s, input_fired_time: 0.1612613052, output_fired_time: 0.0000000000, propagate_forward_time: 8.1249628067, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5162773132
validation[          , genome  4475] predictions:    9713/  10000 (97.13%), best:    9755/10000 (97.55%), error:       933.65369, best error:       823.92950 on epoch:    28, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 117.1257705688s, input_fired_time: 1.4576140642, output_fired_time: 1.3234494925, propagate_forward_time: 43.3659439087, propagate_backward_time: 68.0246887207, weight_update_time: 0.1795851737, other_time: 2.9540786743
epoch time: 9.1121158600s, input_fired_time: 0.1634787917, output_fired_time: 0.0000000000, propagate_forward_time: 8.4150505066, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5335865021
validation[          , genome  4475] predictions:    9727/  10000 (97.27%), best:    9755/10000 (97.55%), error:       939.75464, best error:       823.92950 on epoch:    28, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 168.5796661377s, input_fired_time: 2.3336644173, output_fired_time: 1.4436994791, propagate_forward_time: 64.7224731445, propagate_backward_time: 96.2529296875, weight_update_time: 0.1623241156, other_time: 3.8269042969
epoch time: 14.8534145355s, input_fired_time: 0.4680848122, output_fired_time: 0.0000000000, propagate_forward_time: 13.7841119766, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6012182236
validation[          , genome  4475] predictions:    9743/  10000 (97.43%), best:    9755/10000 (97.55%), error:       917.98834, best error:       823.92950 on epoch:    28, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 191.6189727783s, input_fired_time: 2.0608308315, output_fired_time: 2.4971470833, propagate_forward_time: 73.7339782715, propagate_backward_time: 108.5755233765, weight_update_time: 0.1699977666, other_time: 4.7514877319
epoch time: 15.2688846588s, input_fired_time: 0.2188154161, output_fired_time: 0.0000000000, propagate_forward_time: 14.4330053329, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6170635223
validation[          , genome  4475] predictions:    9677/  10000 (96.77%), best:    9755/10000 (97.55%), error:      1102.79468, best error:       823.92950 on epoch:    28, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 190.4072113037s, input_fired_time: 1.8716338873, output_fired_time: 1.8586162329, propagate_forward_time: 72.4114913940, propagate_backward_time: 109.3892517090, weight_update_time: 0.1538871378, other_time: 4.8762283325
epoch time: 15.1067361832s, input_fired_time: 0.2338285893, output_fired_time: 0.0000000000, propagate_forward_time: 13.9892625809, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8836450577
validation[          , genome  4475] predictions:    9683/  10000 (96.83%), best:    9755/10000 (97.55%), error:       991.57867, best error:       823.92950 on epoch:    28, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 186.7775421143s, input_fired_time: 1.8122742176, output_fired_time: 1.7149776220, propagate_forward_time: 68.1629180908, propagate_backward_time: 110.1954040527, weight_update_time: 0.4039770365, other_time: 4.8919677734
epoch time: 16.7955913544s, input_fired_time: 0.2030946016, output_fired_time: 0.0000000000, propagate_forward_time: 15.4133329391, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1791639328
validation[          , genome  4475] predictions:    9713/  10000 (97.13%), best:    9755/10000 (97.55%), error:       985.05853, best error:       823.92950 on epoch:    28, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 180.4126739502s, input_fired_time: 1.7931320667, output_fired_time: 1.6705740690, propagate_forward_time: 65.7143936157, propagate_backward_time: 106.2147598267, weight_update_time: 0.1539147943, other_time: 5.0198059082
epoch time: 14.3945684433s, input_fired_time: 0.2021315396, output_fired_time: 0.0000000000, propagate_forward_time: 13.6146678925, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5777692795
validation[          , genome  4475] predictions:    9710/  10000 (97.10%), best:    9755/10000 (97.55%), error:       959.92096, best error:       823.92950 on epoch:    28, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 161.7961883545s, input_fired_time: 1.4593679905, output_fired_time: 2.2845852375, propagate_forward_time: 58.5582466125, propagate_backward_time: 95.4368667603, weight_update_time: 0.1514142007, other_time: 4.0571212769
epoch time: 9.8874530792s, input_fired_time: 0.1848019660, output_fired_time: 0.0000000000, propagate_forward_time: 9.1142253876, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5884256363
validation[          , genome  4475] predictions:    9742/  10000 (97.42%), best:    9755/10000 (97.55%), error:       840.47577, best error:       823.92950 on epoch:    28, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 116.5081710815s, input_fired_time: 1.4539687634, output_fired_time: 1.1852008104, propagate_forward_time: 43.4594116211, propagate_backward_time: 67.4496383667, weight_update_time: 0.1383333802, other_time: 2.9599456787
epoch time: 9.5008497238s, input_fired_time: 0.1721584946, output_fired_time: 0.0000000000, propagate_forward_time: 8.8008604050, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5278310776
validation[          , genome  4475] predictions:    9737/  10000 (97.37%), best:    9755/10000 (97.55%), error:       886.09967, best error:       823.92950 on epoch:    28, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 113.5378341675s, input_fired_time: 1.3550715446, output_fired_time: 1.1841213703, propagate_forward_time: 42.1481399536, propagate_backward_time: 66.0172729492, weight_update_time: 0.1539471447, other_time: 2.8332290649
epoch time: 8.7240962982s, input_fired_time: 0.1615525782, output_fired_time: 0.0000000000, propagate_forward_time: 7.9976344109, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5649094582
validation[          , genome  4475] predictions:    9753/  10000 (97.53%), best:    9755/10000 (97.55%), error:       835.39569, best error:       823.92950 on epoch:    28, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 114.8877792358s, input_fired_time: 1.4404281378, output_fired_time: 1.2530552149, propagate_forward_time: 42.6691894531, propagate_backward_time: 66.6897048950, weight_update_time: 0.1382596642, other_time: 2.8354034424
epoch time: 8.6895837784s, input_fired_time: 0.1631987691, output_fired_time: 0.0000000000, propagate_forward_time: 8.0079288483, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5184564590
validation[          , genome  4475] predictions:    9721/  10000 (97.21%), best:    9755/10000 (97.55%), error:       922.90161, best error:       823.92950 on epoch:    28, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 117.7530364990s, input_fired_time: 1.4756213427, output_fired_time: 1.1675000191, propagate_forward_time: 43.8280639648, propagate_backward_time: 68.3280487061, weight_update_time: 0.1571282744, other_time: 2.9537963867
epoch time: 9.6278390884s, input_fired_time: 0.2161652148, output_fired_time: 0.0000000000, propagate_forward_time: 8.8616151810, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5500583649
validation[          , genome  4475] predictions:    9703/  10000 (97.03%), best:    9755/10000 (97.55%), error:      1006.66437, best error:       823.92950 on epoch:    28, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 113.5758972168s, input_fired_time: 1.3883782625, output_fired_time: 1.1730995178, propagate_forward_time: 42.2463264465, propagate_backward_time: 65.8924636841, weight_update_time: 0.1352096051, other_time: 2.8756332397
epoch time: 8.9572887421s, input_fired_time: 0.1636088639, output_fired_time: 0.0000000000, propagate_forward_time: 8.2759838104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5176963806
validation[          , genome  4475] predictions:    9674/  10000 (96.74%), best:    9755/10000 (97.55%), error:      1095.15271, best error:       823.92950 on epoch:    28, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 110.6389312744s, input_fired_time: 1.3617973328, output_fired_time: 1.1262079477, propagate_forward_time: 41.0613975525, propagate_backward_time: 64.2455062866, weight_update_time: 0.1710572839, other_time: 2.8440170288
epoch time: 8.4710388184s, input_fired_time: 0.1629944742, output_fired_time: 0.0000000000, propagate_forward_time: 7.8230762482, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4849681854
validation[          , genome  4475] predictions:    9752/  10000 (97.52%), best:    9755/10000 (97.55%), error:       873.30768, best error:       823.92950 on epoch:    28, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 109.6916961670s, input_fired_time: 1.3404964209, output_fired_time: 1.1684552431, propagate_forward_time: 40.5642929077, propagate_backward_time: 63.7462234497, weight_update_time: 0.1330033839, other_time: 2.8722229004
epoch time: 8.9046802521s, input_fired_time: 0.1610411108, output_fired_time: 0.0000000000, propagate_forward_time: 8.2684755325, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4751634598
validation[          , genome  4475] predictions:    9759/  10000 (97.59%), best:    9755/10000 (97.55%), error:       849.55853, best error:       823.92950 on epoch:    28, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 109.0245666504s, input_fired_time: 1.3898702860, output_fired_time: 1.1693632603, propagate_forward_time: 40.2794342041, propagate_backward_time: 63.4266967773, weight_update_time: 0.1327785999, other_time: 2.7592010498
epoch time: 8.7458477020s, input_fired_time: 0.1919716150, output_fired_time: 0.0000000000, propagate_forward_time: 8.0280075073, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5258684158
validation[          , genome  4475] predictions:    9721/  10000 (97.21%), best:    9755/10000 (97.55%), error:       916.58801, best error:       823.92950 on epoch:    28, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 110.2091293335s, input_fired_time: 1.3573453426, output_fired_time: 1.2011125088, propagate_forward_time: 40.5319900513, propagate_backward_time: 64.3359222412, weight_update_time: 0.1635571867, other_time: 2.7827606201
epoch time: 8.6613245010s, input_fired_time: 0.1630896926, output_fired_time: 0.0000000000, propagate_forward_time: 7.9970011711, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5012335777
validation[          , genome  4475] predictions:    9689/  10000 (96.89%), best:    9755/10000 (97.55%), error:      1071.93335, best error:       823.92950 on epoch:    28, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 107.6882705688s, input_fired_time: 1.3147797585, output_fired_time: 1.1025615931, propagate_forward_time: 39.8398132324, propagate_backward_time: 62.6278915405, weight_update_time: 0.1310372800, other_time: 2.8032226563
epoch time: 8.2122001648s, input_fired_time: 0.1589035243, output_fired_time: 0.0000000000, propagate_forward_time: 7.5780267715, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4752702713
validation[          , genome  4475] predictions:    9695/  10000 (96.95%), best:    9755/10000 (97.55%), error:      1010.10492, best error:       823.92950 on epoch:    28, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 108.7832260132s, input_fired_time: 1.3620820045, output_fired_time: 1.1499749422, propagate_forward_time: 40.0122222900, propagate_backward_time: 63.5471916199, weight_update_time: 0.1312174946, other_time: 2.7117500305
epoch time: 8.6367483139s, input_fired_time: 0.1637824327, output_fired_time: 0.0000000000, propagate_forward_time: 7.9892277718, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4837384224
validation[          , genome  4475] predictions:    9715/  10000 (97.15%), best:    9755/10000 (97.55%), error:       934.61188, best error:       823.92950 on epoch:    28, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 107.1268081665s, input_fired_time: 1.3039748669, output_fired_time: 1.1427681446, propagate_forward_time: 39.5368881226, propagate_backward_time: 62.4463500977, weight_update_time: 0.1319665760, other_time: 2.6968231201
epoch time: 8.3774032593s, input_fired_time: 0.1619197875, output_fired_time: 0.0000000000, propagate_forward_time: 7.7196764946, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4958071709
validation[          , genome  4475] predictions:    9723/  10000 (97.23%), best:    9755/10000 (97.55%), error:       925.88422, best error:       823.92950 on epoch:    28, 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: 43.3334274292s, input_fired_time: 0.7795075178, output_fired_time: 0.0000000000, propagate_forward_time: 39.9585227966, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5953979492
best training[          , genome  4475] predictions:   49252/  50000 (98.50%), best:    9755/10000 (97.55%), error:      2654.59741, best error:       823.92950 on epoch:    28, 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: 8.6900653839s, input_fired_time: 0.1539462805, output_fired_time: 0.0000000000, propagate_forward_time: 8.0275096893, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5086097717
   testing[          , genome  4475] predictions:    9783/  10000 (97.83%), best:    9755/10000 (97.55%), error:       711.80511, best error:       823.92950 on epoch:    28, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
00:42:22 (11148): called boinc_finish(0)

</stderr_txt>
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