Nameexact_genome_1508499903_24_13612_1
Workunit2258461
Created23 Oct 2017, 2:03:29 UTC
Sent23 Oct 2017, 2:56:53 UTC
Report deadline7 Dec 2017, 9:20:04 UTC
Received25 Oct 2017, 22:31:51 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID54172
Run time22 hours 56 min 53 sec
CPU time22 hours 48 min 11 sec
Validate stateValid
Credit11,316.53
Device peak FLOPS3.27 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33
Peak working set size167.95 MB
Peak swap size169.63 MB
Peak disk usage3.12 MB

Stderr output

<core_client_version>7.6.31</core_client_version>
<![CDATA[
<stderr_txt>
: 56.3320007324, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7577476501
validation[          , genome 13612] predictions:    9826/  10000 (98.26%), best:    9858/10000 (98.58%), error:       529.77142, best error:       458.79904 on epoch:    16, epoch:   20/100, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 732.0331420898s, input_fired_time: 8.3252677917, output_fired_time: 6.2103738785, propagate_forward_time: 280.4236755371, propagate_backward_time: 427.1433410645, weight_update_time: 0.7011289597, other_time: 9.9304809570
epoch time: 58.6628684998s, input_fired_time: 0.9543444514, output_fired_time: 0.0000000000, propagate_forward_time: 55.9514732361, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7570495605
validation[          , genome 13612] predictions:    9860/  10000 (98.60%), best:    9858/10000 (98.58%), error:       461.29959, best error:       458.79904 on epoch:    16, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 732.5431518555s, input_fired_time: 8.3624124527, output_fired_time: 6.2668852806, propagate_forward_time: 281.0163879395, propagate_backward_time: 426.9691467285, weight_update_time: 0.7122461796, other_time: 9.9282836914
epoch time: 59.2202568054s, input_fired_time: 0.9670918584, output_fired_time: 0.0000000000, propagate_forward_time: 56.4935417175, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7596244812
validation[          , genome 13612] predictions:    9834/  10000 (98.34%), best:    9858/10000 (98.58%), error:       498.22522, best error:       458.79904 on epoch:    16, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 730.4102172852s, input_fired_time: 8.2477817535, output_fired_time: 6.2078323364, propagate_forward_time: 280.2033996582, propagate_backward_time: 426.0052490234, weight_update_time: 0.6936616302, other_time: 9.7459411621
epoch time: 59.0211715698s, input_fired_time: 0.9704896808, output_fired_time: 0.0000000000, propagate_forward_time: 56.2605018616, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7901802063
validation[          , genome 13612] predictions:    9849/  10000 (98.49%), best:    9858/10000 (98.58%), error:       495.19815, best error:       458.79904 on epoch:    16, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 734.8435668945s, input_fired_time: 8.2737722397, output_fired_time: 6.2398128510, propagate_forward_time: 281.4180908203, propagate_backward_time: 429.1640319824, weight_update_time: 0.7133280635, other_time: 9.7478942871
epoch time: 58.9302825928s, input_fired_time: 0.9561582208, output_fired_time: 0.0000000000, propagate_forward_time: 56.2095985413, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7645263672
validation[          , genome 13612] predictions:    9839/  10000 (98.39%), best:    9858/10000 (98.58%), error:       541.04077, best error:       458.79904 on epoch:    16, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 736.4546508789s, input_fired_time: 8.2551031113, output_fired_time: 6.2187995911, propagate_forward_time: 281.8531188965, propagate_backward_time: 430.4095458984, weight_update_time: 0.7037124038, other_time: 9.7180480957
epoch time: 59.8594627380s, input_fired_time: 0.9579119682, output_fired_time: 0.0000000000, propagate_forward_time: 57.1361732483, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7653770447
validation[          , genome 13612] predictions:    9856/  10000 (98.56%), best:    9858/10000 (98.58%), error:       464.14355, best error:       458.79904 on epoch:    16, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 736.3677368164s, input_fired_time: 8.3037834167, output_fired_time: 6.2737679482, propagate_forward_time: 282.2251892090, propagate_backward_time: 429.7307434082, weight_update_time: 0.7110025287, other_time: 9.8342895508
epoch time: 59.5839500427s, input_fired_time: 0.9636158943, output_fired_time: 0.0000000000, propagate_forward_time: 56.8649635315, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7553710938
validation[          , genome 13612] predictions:    9855/  10000 (98.55%), best:    9858/10000 (98.58%), error:       480.83636, best error:       458.79904 on epoch:    16, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 741.8536376953s, input_fired_time: 8.4497852325, output_fired_time: 6.2531704903, propagate_forward_time: 284.5178527832, propagate_backward_time: 432.7214050293, weight_update_time: 0.7101367116, other_time: 9.9114379883
epoch time: 59.7994346619s, input_fired_time: 0.9655267000, output_fired_time: 0.0000000000, propagate_forward_time: 57.0393753052, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7945327759
validation[          , genome 13612] predictions:    9854/  10000 (98.54%), best:    9854/10000 (98.54%), error:       430.96426, best error:       430.96426 on epoch:    27, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 743.3562622070s, input_fired_time: 8.4638710022, output_fired_time: 6.3015475273, propagate_forward_time: 285.3394165039, propagate_backward_time: 433.3060607910, weight_update_time: 0.7107775211, other_time: 9.9453430176
epoch time: 59.1202011108s, input_fired_time: 0.9577331543, output_fired_time: 0.0000000000, propagate_forward_time: 56.3827857971, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7796821594
validation[          , genome 13612] predictions:    9848/  10000 (98.48%), best:    9854/10000 (98.54%), error:       485.15085, best error:       430.96426 on epoch:    27, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 745.2059936523s, input_fired_time: 8.4568796158, output_fired_time: 6.3300361633, propagate_forward_time: 286.0059509277, propagate_backward_time: 434.4121093750, weight_update_time: 0.7048270702, other_time: 10.0010070801
epoch time: 59.3857841492s, input_fired_time: 0.9803074598, output_fired_time: 0.0000000000, propagate_forward_time: 56.5816192627, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8238563538
validation[          , genome 13612] predictions:    9868/  10000 (98.68%), best:    9854/10000 (98.54%), error:       445.14224, best error:       430.96426 on epoch:    27, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 742.0822143555s, input_fired_time: 8.4640502930, output_fired_time: 6.3134269714, propagate_forward_time: 284.1208496094, propagate_backward_time: 433.1705322266, weight_update_time: 0.7091218233, other_time: 10.0133666992
epoch time: 59.0942726135s, input_fired_time: 0.9696553946, output_fired_time: 0.0000000000, propagate_forward_time: 56.3524093628, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7722091675
validation[          , genome 13612] predictions:    9861/  10000 (98.61%), best:    9854/10000 (98.54%), error:       431.76816, best error:       430.96426 on epoch:    27, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 736.3042602539s, input_fired_time: 8.3248004913, output_fired_time: 6.2549805641, propagate_forward_time: 282.4283142090, propagate_backward_time: 429.5042724609, weight_update_time: 0.7061755657, other_time: 9.7918395996
epoch time: 59.4636459351s, input_fired_time: 0.9745006561, output_fired_time: 0.0000000000, propagate_forward_time: 56.6728630066, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8162803650
validation[          , genome 13612] predictions:    9852/  10000 (98.52%), best:    9854/10000 (98.54%), error:       477.94843, best error:       430.96426 on epoch:    27, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 740.9119262695s, input_fired_time: 8.3595371246, output_fired_time: 6.2908177376, propagate_forward_time: 283.6835021973, propagate_backward_time: 432.7037963867, weight_update_time: 0.7016534805, other_time: 9.8742370605
epoch time: 60.1641807556s, input_fired_time: 0.9873147011, output_fired_time: 0.0000000000, propagate_forward_time: 57.3413696289, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8354949951
validation[          , genome 13612] predictions:    9872/  10000 (98.72%), best:    9872/10000 (98.72%), error:       396.20251, best error:       396.20251 on epoch:    32, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 747.0795898438s, input_fired_time: 8.4776897430, output_fired_time: 6.3610253334, propagate_forward_time: 286.5396118164, propagate_backward_time: 435.5869140625, weight_update_time: 0.7303559184, other_time: 10.1143798828
epoch time: 59.6794586182s, input_fired_time: 0.9792820215, output_fired_time: 0.0000000000, propagate_forward_time: 56.9475173950, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7526588440
validation[          , genome 13612] predictions:    9784/  10000 (97.84%), best:    9872/10000 (98.72%), error:       644.59399, best error:       396.20251 on epoch:    32, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 742.2925415039s, input_fired_time: 8.5028018951, output_fired_time: 6.3297367096, propagate_forward_time: 284.3426513672, propagate_backward_time: 433.1588439941, weight_update_time: 0.7086355090, other_time: 9.9585266113
epoch time: 59.5136833191s, input_fired_time: 0.9810679555, output_fired_time: 0.0000000000, propagate_forward_time: 56.7525558472, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7800598145
validation[          , genome 13612] predictions:    9812/  10000 (98.12%), best:    9872/10000 (98.72%), error:       543.83386, best error:       396.20251 on epoch:    32, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 742.8560791016s, input_fired_time: 8.3829584122, output_fired_time: 6.3156480789, propagate_forward_time: 284.6125183105, propagate_backward_time: 433.5901184082, weight_update_time: 0.7063103318, other_time: 9.9548339844
epoch time: 59.7665901184s, input_fired_time: 0.9771205187, output_fired_time: 0.0000000000, propagate_forward_time: 57.0259895325, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7634811401
validation[          , genome 13612] predictions:    9853/  10000 (98.53%), best:    9872/10000 (98.72%), error:       476.49191, best error:       396.20251 on epoch:    32, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 746.9312133789s, input_fired_time: 8.5128698349, output_fired_time: 6.3544554710, propagate_forward_time: 285.7856140137, propagate_backward_time: 436.2027587891, weight_update_time: 0.7155427933, other_time: 10.0755310059
epoch time: 59.6589622498s, input_fired_time: 0.9711920023, output_fired_time: 0.0000000000, propagate_forward_time: 56.8675155640, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8202552795
validation[          , genome 13612] predictions:    9869/  10000 (98.69%), best:    9872/10000 (98.72%), error:       420.79181, best error:       396.20251 on epoch:    32, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 742.9771728516s, input_fired_time: 8.4551925659, output_fired_time: 6.3378925323, propagate_forward_time: 284.6906127930, propagate_backward_time: 433.4158630371, weight_update_time: 0.7217967510, other_time: 10.0776062012
epoch time: 59.4994888306s, input_fired_time: 0.9726051092, output_fired_time: 0.0000000000, propagate_forward_time: 56.7451171875, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7817649841
validation[          , genome 13612] predictions:    9854/  10000 (98.54%), best:    9872/10000 (98.72%), error:       457.96658, best error:       396.20251 on epoch:    32, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 741.2188720703s, input_fired_time: 8.4589767456, output_fired_time: 6.3103528023, propagate_forward_time: 284.9283752441, propagate_backward_time: 431.5143127441, weight_update_time: 0.7131107450, other_time: 10.0068359375
epoch time: 59.1191101074s, input_fired_time: 0.9598250985, output_fired_time: 0.0000000000, propagate_forward_time: 56.4475975037, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7116889954
validation[          , genome 13612] predictions:    9826/  10000 (98.26%), best:    9872/10000 (98.72%), error:       519.27509, best error:       396.20251 on epoch:    32, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 737.4150390625s, input_fired_time: 8.4237957001, output_fired_time: 6.2693614960, propagate_forward_time: 282.5412292480, propagate_backward_time: 430.2637939453, weight_update_time: 0.7040070295, other_time: 9.9169006348
epoch time: 59.8746376038s, input_fired_time: 0.9900348186, output_fired_time: 0.0000000000, propagate_forward_time: 57.1068878174, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7777137756
validation[          , genome 13612] predictions:    9840/  10000 (98.40%), best:    9872/10000 (98.72%), error:       495.36765, best error:       396.20251 on epoch:    32, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 741.5551757812s, input_fired_time: 8.4968233109, output_fired_time: 6.2994289398, propagate_forward_time: 284.0704040527, propagate_backward_time: 432.8860778809, weight_update_time: 0.6968086958, other_time: 9.8024291992
epoch time: 59.5497169495s, input_fired_time: 0.9830678701, output_fired_time: 0.0000000000, propagate_forward_time: 56.8002967834, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7663536072
validation[          , genome 13612] predictions:    9872/  10000 (98.72%), best:    9872/10000 (98.72%), error:       390.32578, best error:       390.32578 on epoch:    40, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 737.5411376953s, input_fired_time: 8.4647512436, output_fired_time: 6.2505283356, propagate_forward_time: 282.7089538574, propagate_backward_time: 430.2184143066, weight_update_time: 0.7124920487, other_time: 9.8984985352
epoch time: 59.1772880554s, input_fired_time: 0.9709264636, output_fired_time: 0.0000000000, propagate_forward_time: 56.4199829102, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7863769531
validation[          , genome 13612] predictions:    9876/  10000 (98.76%), best:    9872/10000 (98.72%), error:       410.46396, best error:       390.32578 on epoch:    40, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 740.7019042969s, input_fired_time: 8.5320215225, output_fired_time: 6.3572392464, propagate_forward_time: 283.5471801758, propagate_backward_time: 432.3864135742, weight_update_time: 0.7061172128, other_time: 9.8790283203
epoch time: 59.6633529663s, input_fired_time: 1.0017114878, output_fired_time: 0.0000000000, propagate_forward_time: 56.8648414612, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7967987061
validation[          , genome 13612] predictions:    9864/  10000 (98.64%), best:    9872/10000 (98.72%), error:       400.86856, best error:       390.32578 on epoch:    40, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 738.7906494141s, input_fired_time: 8.4808912277, output_fired_time: 6.2946152687, propagate_forward_time: 282.7491760254, propagate_backward_time: 431.2921142578, weight_update_time: 0.7154415250, other_time: 9.9738464355
epoch time: 59.7702560425s, input_fired_time: 1.0045241117, output_fired_time: 0.0000000000, propagate_forward_time: 56.9797744751, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7859573364
validation[          , genome 13612] predictions:    9874/  10000 (98.74%), best:    9872/10000 (98.72%), error:       405.27231, best error:       390.32578 on epoch:    40, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 739.5186767578s, input_fired_time: 8.5047388077, output_fired_time: 6.3606123924, propagate_forward_time: 283.6645202637, propagate_backward_time: 431.0712890625, weight_update_time: 0.7104411721, other_time: 9.9175109863
epoch time: 60.7333030701s, input_fired_time: 1.0019171238, output_fired_time: 0.0000000000, propagate_forward_time: 57.9103622437, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8210220337
validation[          , genome 13612] predictions:    9874/  10000 (98.74%), best:    9874/10000 (98.74%), error:       385.64413, best error:       385.64413 on epoch:    44, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 738.0642700195s, input_fired_time: 8.4116926193, output_fired_time: 6.2711119652, propagate_forward_time: 282.6171264648, propagate_backward_time: 430.8505554199, weight_update_time: 0.7030498981, other_time: 9.9137878418
epoch time: 58.8656616211s, input_fired_time: 0.9743911624, output_fired_time: 0.0000000000, propagate_forward_time: 56.0653457642, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8259239197
validation[          , genome 13612] predictions:    9858/  10000 (98.58%), best:    9874/10000 (98.74%), error:       454.20908, best error:       385.64413 on epoch:    44, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 734.9216918945s, input_fired_time: 8.3771085739, output_fired_time: 6.2038359642, propagate_forward_time: 281.7573852539, propagate_backward_time: 428.7961730957, weight_update_time: 0.7020329833, other_time: 9.7871398926
epoch time: 59.0397834778s, input_fired_time: 0.9663715959, output_fired_time: 0.0000000000, propagate_forward_time: 56.3423385620, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7310714722
validation[          , genome 13612] predictions:    9882/  10000 (98.82%), best:    9882/10000 (98.82%), error:       373.59589, best error:       373.59589 on epoch:    46, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 738.9338989258s, input_fired_time: 8.4244709015, output_fired_time: 6.2060999870, propagate_forward_time: 283.3227844238, propagate_backward_time: 431.1200866699, weight_update_time: 0.7199960351, other_time: 9.8604125977
epoch time: 58.7681732178s, input_fired_time: 0.9567362666, output_fired_time: 0.0000000000, propagate_forward_time: 56.0923080444, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7191276550
validation[          , genome 13612] predictions:    9875/  10000 (98.75%), best:    9882/10000 (98.82%), error:       406.47818, best error:       373.59589 on epoch:    46, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 736.1597290039s, input_fired_time: 8.3559656143, output_fired_time: 6.2561478615, propagate_forward_time: 282.5254821777, propagate_backward_time: 429.3337402344, weight_update_time: 0.6964936852, other_time: 9.6883850098
epoch time: 59.3002891541s, input_fired_time: 0.9677295685, output_fired_time: 0.0000000000, propagate_forward_time: 56.5890769958, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7434806824
validation[          , genome 13612] predictions:    9878/  10000 (98.78%), best:    9882/10000 (98.82%), error:       384.28564, best error:       373.59589 on epoch:    46, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 738.6708374023s, input_fired_time: 8.3762598038, output_fired_time: 6.2525696754, propagate_forward_time: 283.3901977539, propagate_backward_time: 430.8869018555, weight_update_time: 0.6997599006, other_time: 9.7648925781
epoch time: 58.9502334595s, input_fired_time: 0.9741827846, output_fired_time: 0.0000000000, propagate_forward_time: 56.2049255371, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7711257935
validation[          , genome 13612] predictions:    9886/  10000 (98.86%), best:    9886/10000 (98.86%), error:       351.54361, best error:       351.54361 on epoch:    49, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 736.8944702148s, input_fired_time: 8.3605690002, output_fired_time: 6.2388224602, propagate_forward_time: 282.8258972168, propagate_backward_time: 429.6347045898, weight_update_time: 0.7028905749, other_time: 9.8344421387
epoch time: 59.0527763367s, input_fired_time: 0.9814448953, output_fired_time: 0.0000000000, propagate_forward_time: 56.2826080322, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7887229919
validation[          , genome 13612] predictions:    9875/  10000 (98.75%), best:    9886/10000 (98.86%), error:       418.45609, best error:       351.54361 on epoch:    49, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 735.9022827148s, input_fired_time: 8.3554201126, output_fired_time: 6.2495508194, propagate_forward_time: 281.6428222656, propagate_backward_time: 429.8791198730, weight_update_time: 0.7026087046, other_time: 9.7753601074
epoch time: 59.5392417908s, input_fired_time: 0.9800391793, output_fired_time: 0.0000000000, propagate_forward_time: 56.8174285889, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7417755127
validation[          , genome 13612] predictions:    9867/  10000 (98.67%), best:    9886/10000 (98.86%), error:       377.36172, best error:       351.54361 on epoch:    49, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 740.8380126953s, input_fired_time: 8.3942584991, output_fired_time: 6.2754788399, propagate_forward_time: 283.3699951172, propagate_backward_time: 432.8589477539, weight_update_time: 0.7173123360, other_time: 9.9393310547
epoch time: 60.1448173523s, input_fired_time: 0.9918303490, output_fired_time: 0.0000000000, propagate_forward_time: 57.3624877930, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7905006409
validation[          , genome 13612] predictions:    9869/  10000 (98.69%), best:    9886/10000 (98.86%), error:       379.58505, best error:       351.54361 on epoch:    49, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 738.5640869141s, input_fired_time: 8.4201078415, output_fired_time: 6.2566809654, propagate_forward_time: 283.1028442383, propagate_backward_time: 430.9139709473, weight_update_time: 0.7078486681, other_time: 9.8705139160
epoch time: 59.6173286438s, input_fired_time: 0.9902592897, output_fired_time: 0.0000000000, propagate_forward_time: 56.8061599731, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8209075928
validation[          , genome 13612] predictions:    9885/  10000 (98.85%), best:    9885/10000 (98.85%), error:       348.19208, best error:       348.19208 on epoch:    53, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 737.8341064453s, input_fired_time: 8.3973407745, output_fired_time: 6.2802281380, propagate_forward_time: 282.5193786621, propagate_backward_time: 430.8740539551, weight_update_time: 0.6996503472, other_time: 9.7631225586
epoch time: 59.2578277588s, input_fired_time: 0.9864856005, output_fired_time: 0.0000000000, propagate_forward_time: 56.5107421875, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7606010437
validation[          , genome 13612] predictions:    9892/  10000 (98.92%), best:    9885/10000 (98.85%), error:       363.60263, best error:       348.19208 on epoch:    53, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 740.1072998047s, input_fired_time: 8.4771213531, output_fired_time: 6.3472447395, propagate_forward_time: 283.7059020996, propagate_backward_time: 431.6525878906, weight_update_time: 0.7030675411, other_time: 9.9244689941
epoch time: 59.5281219482s, input_fired_time: 0.9752094746, output_fired_time: 0.0000000000, propagate_forward_time: 56.8089370728, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7439765930
validation[          , genome 13612] predictions:    9872/  10000 (98.72%), best:    9885/10000 (98.85%), error:       379.41742, best error:       348.19208 on epoch:    53, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 737.0586547852s, input_fired_time: 8.4125518799, output_fired_time: 6.1884083748, propagate_forward_time: 282.6004943848, propagate_backward_time: 430.0236816406, weight_update_time: 0.7013855577, other_time: 9.8335266113
epoch time: 59.2288208008s, input_fired_time: 0.9781190157, output_fired_time: 0.0000000000, propagate_forward_time: 56.4919013977, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7588005066
validation[          , genome 13612] predictions:    9876/  10000 (98.76%), best:    9885/10000 (98.85%), error:       395.72632, best error:       348.19208 on epoch:    53, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 735.1946411133s, input_fired_time: 8.4115447998, output_fired_time: 6.2603950500, propagate_forward_time: 281.7756652832, propagate_backward_time: 428.8394470215, weight_update_time: 0.7152955532, other_time: 9.9075927734
epoch time: 59.3313865662s, input_fired_time: 0.9840967059, output_fired_time: 0.0000000000, propagate_forward_time: 56.5750503540, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7722396851
validation[          , genome 13612] predictions:    9890/  10000 (98.90%), best:    9885/10000 (98.85%), error:       356.09204, best error:       348.19208 on epoch:    53, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 739.5376586914s, input_fired_time: 8.4162178040, output_fired_time: 6.2932438850, propagate_forward_time: 283.4232482910, propagate_backward_time: 431.5384826660, weight_update_time: 0.7138021588, other_time: 9.8664550781
epoch time: 59.7097358704s, input_fired_time: 0.9949217439, output_fired_time: 0.0000000000, propagate_forward_time: 56.9433097839, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7715034485
validation[          , genome 13612] predictions:    9883/  10000 (98.83%), best:    9885/10000 (98.85%), error:       362.90735, best error:       348.19208 on epoch:    53, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

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_1508499903_24_13612.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1508499903_24_13612_1_r1383340045_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: 0.966238
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000606181
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.42472e-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: 59
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 53
read number_validation_images: 10000
read best_validation_predictions: 9885
read best_validation_error: 348.192
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: 13612
read normal distribution: '1 0.723593175411224 -0.943493664264679'
generator_str: '1717076690'
read generator: 1717076690
read generated_by_map:
1 crossover 1
reading 86 nodes.
reading 294 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: 772.625610351562s, input_fired_time: 8.6076831817627, output_fired_time: 6.37795257568359, propagate_forward_time: 296.788604736328, propagate_backward_time: 451.748291015625, weight_update_time: 0.693036317825317, other_time: 9.10311889648438
epoch time: 62.5596885681152s, input_fired_time: 0.954901278018951, output_fired_time: 0, propagate_forward_time: 59.9883804321289, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.61640548706055
validation[          , genome 13612] predictions:    9880/  10000 (98.80%), best:    9885/10000 (98.85%), error:       383.06815, best error:       348.19208 on epoch:    53, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 779.6877441406s, input_fired_time: 8.6868362427, output_fired_time: 6.4522995949, propagate_forward_time: 299.4661254883, propagate_backward_time: 455.9611816406, weight_update_time: 0.6984492540, other_time: 9.1213378906
epoch time: 62.2542610168s, input_fired_time: 0.9598208070, output_fired_time: 0.0000000000, propagate_forward_time: 59.6915588379, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6028823853
validation[          , genome 13612] predictions:    9876/  10000 (98.76%), best:    9885/10000 (98.85%), error:       378.28741, best error:       348.19208 on epoch:    53, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 776.9469604492s, input_fired_time: 8.6162919998, output_fired_time: 6.4019260406, propagate_forward_time: 298.3855590820, propagate_backward_time: 454.5600280762, weight_update_time: 0.6942896843, other_time: 8.9831848145
epoch time: 62.2497901917s, input_fired_time: 0.9529059529, output_fired_time: 0.0000000000, propagate_forward_time: 59.6872863770, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6095962524
validation[          , genome 13612] predictions:    9881/  10000 (98.81%), best:    9885/10000 (98.85%), error:       363.06039, best error:       348.19208 on epoch:    53, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 779.8666992188s, input_fired_time: 8.6489696503, output_fired_time: 6.4715037346, propagate_forward_time: 299.7626647949, propagate_backward_time: 455.9390869141, weight_update_time: 0.6945881844, other_time: 9.0444641113
epoch time: 62.8349380493s, input_fired_time: 0.9722626209, output_fired_time: 0.0000000000, propagate_forward_time: 60.2478408813, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6148338318
validation[          , genome 13612] predictions:    9885/  10000 (98.85%), best:    9885/10000 (98.85%), error:       358.14658, best error:       348.19208 on epoch:    53, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 792.2346801758s, input_fired_time: 8.8108844757, output_fired_time: 6.5322103500, propagate_forward_time: 304.2274169922, propagate_backward_time: 463.3215942383, weight_update_time: 0.6987330914, other_time: 9.3425292969
epoch time: 62.3466491699s, input_fired_time: 0.9559388757, output_fired_time: 0.0000000000, propagate_forward_time: 59.7706871033, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6200218201
validation[          , genome 13612] predictions:    9879/  10000 (98.79%), best:    9885/10000 (98.85%), error:       447.11887, best error:       348.19208 on epoch:    53, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 777.8383178711s, input_fired_time: 8.6525001526, output_fired_time: 6.4294157028, propagate_forward_time: 298.6586303711, propagate_backward_time: 455.0382995605, weight_update_time: 0.6968761086, other_time: 9.0594177246
epoch time: 62.3608169556s, input_fired_time: 0.9564146399, output_fired_time: 0.0000000000, propagate_forward_time: 59.7786140442, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6257896423
validation[          , genome 13612] predictions:    9865/  10000 (98.65%), best:    9885/10000 (98.85%), error:       428.49176, best error:       348.19208 on epoch:    53, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 772.9876708984s, input_fired_time: 8.5883226395, output_fired_time: 6.4227771759, propagate_forward_time: 296.9212036133, propagate_backward_time: 452.0194396973, weight_update_time: 0.6918062568, other_time: 9.0359191895
epoch time: 61.7231903076s, input_fired_time: 0.9567877054, output_fired_time: 0.0000000000, propagate_forward_time: 59.1242866516, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6421165466
validation[          , genome 13612] predictions:    9884/  10000 (98.84%), best:    9885/10000 (98.85%), error:       352.40726, best error:       348.19208 on epoch:    53, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 761.4074707031s, input_fired_time: 8.5159845352, output_fired_time: 6.2634854317, propagate_forward_time: 292.7158508301, propagate_backward_time: 444.9823913574, weight_update_time: 0.6833468080, other_time: 8.9297485352
epoch time: 62.2234382629s, input_fired_time: 0.9487437010, output_fired_time: 0.0000000000, propagate_forward_time: 59.6632843018, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6114120483
validation[          , genome 13612] predictions:    9887/  10000 (98.87%), best:    9887/10000 (98.87%), error:       347.96246, best error:       347.96246 on epoch:    66, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 769.9117431641s, input_fired_time: 8.6118927002, output_fired_time: 6.4254212379, propagate_forward_time: 295.8139953613, propagate_backward_time: 450.0681457520, weight_update_time: 0.6877819896, other_time: 8.9923095703
epoch time: 61.5799140930s, input_fired_time: 0.9524712563, output_fired_time: 0.0000000000, propagate_forward_time: 59.0010604858, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6263809204
validation[          , genome 13612] predictions:    9824/  10000 (98.24%), best:    9887/10000 (98.87%), error:       574.12286, best error:       347.96246 on epoch:    66, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 768.9371337891s, input_fired_time: 8.6245718002, output_fired_time: 6.3854551315, propagate_forward_time: 295.5759277344, propagate_backward_time: 449.2820739746, weight_update_time: 0.6948910356, other_time: 9.0691223145
epoch time: 61.8338127136s, input_fired_time: 0.9609525800, output_fired_time: 0.0000000000, propagate_forward_time: 59.2543373108, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6185226440
validation[          , genome 13612] predictions:    9892/  10000 (98.92%), best:    9887/10000 (98.87%), error:       379.33130, best error:       347.96246 on epoch:    66, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 764.9276123047s, input_fired_time: 8.5504541397, output_fired_time: 6.3370108604, propagate_forward_time: 294.3948059082, propagate_backward_time: 446.6709289551, weight_update_time: 0.6824737787, other_time: 8.9743652344
epoch time: 61.1847419739s, input_fired_time: 0.9540098310, output_fired_time: 0.0000000000, propagate_forward_time: 58.6186790466, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6120529175
validation[          , genome 13612] predictions:    9895/  10000 (98.95%), best:    9895/10000 (98.95%), error:       329.46347, best error:       329.46347 on epoch:    69, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 774.8853149414s, input_fired_time: 8.6348485947, output_fired_time: 6.3851618767, propagate_forward_time: 297.8734436035, propagate_backward_time: 452.9980468750, weight_update_time: 0.6918238401, other_time: 8.9938659668
epoch time: 61.8225021362s, input_fired_time: 0.9611826539, output_fired_time: 0.0000000000, propagate_forward_time: 59.2642936707, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5970268250
validation[          , genome 13612] predictions:    9875/  10000 (98.75%), best:    9895/10000 (98.95%), error:       383.90155, best error:       329.46347 on epoch:    69, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 767.2528686523s, input_fired_time: 8.5980300903, output_fired_time: 6.3390593529, propagate_forward_time: 295.0588684082, propagate_backward_time: 448.2538452148, weight_update_time: 0.6845970154, other_time: 9.0030822754
epoch time: 61.9041290283s, input_fired_time: 0.9526163340, output_fired_time: 0.0000000000, propagate_forward_time: 59.3412551880, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6102561951
validation[          , genome 13612] predictions:    9885/  10000 (98.85%), best:    9895/10000 (98.95%), error:       366.54489, best error:       329.46347 on epoch:    69, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 775.9581298828s, input_fired_time: 8.6484174728, output_fired_time: 6.4226999283, propagate_forward_time: 298.1061706543, propagate_backward_time: 453.7465209961, weight_update_time: 0.6908171773, other_time: 9.0342712402
epoch time: 62.0434379578s, input_fired_time: 0.9593421221, output_fired_time: 0.0000000000, propagate_forward_time: 59.4723701477, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6117248535
validation[          , genome 13612] predictions:    9886/  10000 (98.86%), best:    9895/10000 (98.95%), error:       333.86627, best error:       329.46347 on epoch:    69, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 765.7115478516s, input_fired_time: 8.5525655746, output_fired_time: 6.3302507401, propagate_forward_time: 294.2445678711, propagate_backward_time: 447.5927429199, weight_update_time: 0.6856943369, other_time: 8.9914245605
epoch time: 61.7831268311s, input_fired_time: 0.9508252740, output_fired_time: 0.0000000000, propagate_forward_time: 59.2285270691, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6037750244
validation[          , genome 13612] predictions:    9892/  10000 (98.92%), best:    9895/10000 (98.95%), error:       331.25784, best error:       329.46347 on epoch:    69, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 766.0479736328s, input_fired_time: 8.5725049973, output_fired_time: 6.3699584007, propagate_forward_time: 294.1741943359, propagate_backward_time: 447.9491271973, weight_update_time: 0.6849288344, other_time: 8.9822082520
epoch time: 61.4706382751s, input_fired_time: 0.9473366737, output_fired_time: 0.0000000000, propagate_forward_time: 58.9259567261, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5973434448
validation[          , genome 13612] predictions:    9881/  10000 (98.81%), best:    9895/10000 (98.95%), error:       361.94150, best error:       329.46347 on epoch:    69, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 765.6181030273s, input_fired_time: 8.5987052917, output_fired_time: 6.3384284973, propagate_forward_time: 294.7802124023, propagate_backward_time: 446.9335632324, weight_update_time: 0.6840545535, other_time: 8.9671936035
epoch time: 62.3542594910s, input_fired_time: 0.9596835971, output_fired_time: 0.0000000000, propagate_forward_time: 59.7806320190, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6139450073
validation[          , genome 13612] predictions:    9887/  10000 (98.87%), best:    9895/10000 (98.95%), error:       360.94031, best error:       329.46347 on epoch:    69, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 776.6927490234s, input_fired_time: 8.6478061676, output_fired_time: 6.4102048874, propagate_forward_time: 298.3637084961, propagate_backward_time: 454.2437744141, weight_update_time: 0.6924664378, other_time: 9.0272216797
epoch time: 62.3072471619s, input_fired_time: 0.9655295014, output_fired_time: 0.0000000000, propagate_forward_time: 59.7260780334, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6156387329
validation[          , genome 13612] predictions:    9888/  10000 (98.88%), best:    9895/10000 (98.95%), error:       348.49112, best error:       329.46347 on epoch:    69, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 775.8679199219s, input_fired_time: 8.6287212372, output_fired_time: 6.4023337364, propagate_forward_time: 298.2254028320, propagate_backward_time: 453.5725708008, weight_update_time: 0.6933525801, other_time: 9.0388793945
epoch time: 62.1849708557s, input_fired_time: 0.9581460953, output_fired_time: 0.0000000000, propagate_forward_time: 59.6210365295, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6057891846
validation[          , genome 13612] predictions:    9886/  10000 (98.86%), best:    9895/10000 (98.95%), error:       351.75519, best error:       329.46347 on epoch:    69, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 783.4906616211s, input_fired_time: 8.6910333633, output_fired_time: 6.4330792427, propagate_forward_time: 300.8567810059, propagate_backward_time: 458.3749389648, weight_update_time: 0.7099735141, other_time: 9.1347961426
epoch time: 62.3159103394s, input_fired_time: 0.9591186047, output_fired_time: 0.0000000000, propagate_forward_time: 59.7513771057, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6054153442
validation[          , genome 13612] predictions:    9889/  10000 (98.89%), best:    9895/10000 (98.95%), error:       345.00055, best error:       329.46347 on epoch:    69, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 783.3724365234s, input_fired_time: 8.7177867889, output_fired_time: 6.4545021057, propagate_forward_time: 300.8904724121, propagate_backward_time: 458.1932983398, weight_update_time: 0.6942813993, other_time: 9.1163635254
epoch time: 62.3946075439s, input_fired_time: 0.9623637199, output_fired_time: 0.0000000000, propagate_forward_time: 59.8125495911, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6196937561
validation[          , genome 13612] predictions:    9891/  10000 (98.91%), best:    9895/10000 (98.95%), error:       347.66476, best error:       329.46347 on epoch:    69, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 774.2459716797s, input_fired_time: 8.6370496750, output_fired_time: 6.4001512527, propagate_forward_time: 297.5301208496, propagate_backward_time: 452.6222534180, weight_update_time: 0.6913970709, other_time: 9.0564270020
epoch time: 62.2727890015s, input_fired_time: 0.9612221122, output_fired_time: 0.0000000000, propagate_forward_time: 59.6900711060, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6214942932
validation[          , genome 13612] predictions:    9884/  10000 (98.84%), best:    9895/10000 (98.95%), error:       347.46735, best error:       329.46347 on epoch:    69, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 772.3451538086s, input_fired_time: 8.6242942810, output_fired_time: 6.3601722717, propagate_forward_time: 296.6622619629, propagate_backward_time: 451.7230529785, weight_update_time: 0.6907052398, other_time: 8.9754028320
epoch time: 62.1924247742s, input_fired_time: 0.9656968713, output_fired_time: 0.0000000000, propagate_forward_time: 59.6096458435, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6170806885
validation[          , genome 13612] predictions:    9888/  10000 (98.88%), best:    9895/10000 (98.95%), error:       361.21143, best error:       329.46347 on epoch:    69, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 771.1633911133s, input_fired_time: 8.6033420563, output_fired_time: 6.3050947189, propagate_forward_time: 295.3827209473, propagate_backward_time: 451.7670288086, weight_update_time: 0.6971920729, other_time: 9.1051940918
epoch time: 61.7832565308s, input_fired_time: 0.9592055678, output_fired_time: 0.0000000000, propagate_forward_time: 59.2266082764, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5974426270
validation[          , genome 13612] predictions:    9893/  10000 (98.93%), best:    9893/10000 (98.93%), error:       328.61383, best error:       328.61383 on epoch:    82, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 762.2988281250s, input_fired_time: 8.5299005508, output_fired_time: 6.3024682999, propagate_forward_time: 292.6991882324, propagate_backward_time: 445.8089599609, weight_update_time: 0.6829010248, other_time: 8.9582824707
epoch time: 62.2377586365s, input_fired_time: 0.9631277323, output_fired_time: 0.0000000000, propagate_forward_time: 59.6634521484, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6111793518
validation[          , genome 13612] predictions:    9881/  10000 (98.81%), best:    9893/10000 (98.93%), error:       374.84045, best error:       328.61383 on epoch:    82, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 773.1263427734s, input_fired_time: 8.6157102585, output_fired_time: 6.3546433449, propagate_forward_time: 296.9800720215, propagate_backward_time: 452.1953125000, weight_update_time: 0.6906360984, other_time: 8.9806213379
epoch time: 62.2733306885s, input_fired_time: 0.9605020285, output_fired_time: 0.0000000000, propagate_forward_time: 59.7149772644, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5978507996
validation[          , genome 13612] predictions:    9887/  10000 (98.87%), best:    9893/10000 (98.93%), error:       349.65369, best error:       328.61383 on epoch:    82, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 773.5405273438s, input_fired_time: 8.6587181091, output_fired_time: 6.4278569221, propagate_forward_time: 297.6014709473, propagate_backward_time: 451.8453063965, weight_update_time: 0.6918064952, other_time: 9.0072021484
epoch time: 62.3707656860s, input_fired_time: 0.9829543233, output_fired_time: 0.0000000000, propagate_forward_time: 59.7882843018, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5995254517
validation[          , genome 13612] predictions:    9892/  10000 (98.92%), best:    9893/10000 (98.93%), error:       340.57977, best error:       328.61383 on epoch:    82, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 779.9582519531s, input_fired_time: 8.6960086823, output_fired_time: 6.4351558685, propagate_forward_time: 299.5371398926, propagate_backward_time: 456.2473754883, weight_update_time: 0.6945654154, other_time: 9.0425720215
epoch time: 62.3495750427s, input_fired_time: 0.9617239833, output_fired_time: 0.0000000000, propagate_forward_time: 59.8139953613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5738563538
validation[          , genome 13612] predictions:    9885/  10000 (98.85%), best:    9893/10000 (98.93%), error:       369.50381, best error:       328.61383 on epoch:    82, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 771.3627929688s, input_fired_time: 8.6201171875, output_fired_time: 6.3535590172, propagate_forward_time: 296.5522766113, propagate_backward_time: 450.8420104980, weight_update_time: 0.6901206374, other_time: 8.9948120117
epoch time: 61.9137191772s, input_fired_time: 0.9603974223, output_fired_time: 0.0000000000, propagate_forward_time: 59.3244781494, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6288452148
validation[          , genome 13612] predictions:    9891/  10000 (98.91%), best:    9893/10000 (98.93%), error:       332.26907, best error:       328.61383 on epoch:    82, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 770.8831176758s, input_fired_time: 8.6127471924, output_fired_time: 6.3373737335, propagate_forward_time: 295.9453430176, propagate_backward_time: 451.0150451660, weight_update_time: 0.6972318292, other_time: 8.9725952148
epoch time: 61.9105567932s, input_fired_time: 0.9593825936, output_fired_time: 0.0000000000, propagate_forward_time: 59.3461265564, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6050491333
validation[          , genome 13612] predictions:    9885/  10000 (98.85%), best:    9893/10000 (98.93%), error:       354.48495, best error:       328.61383 on epoch:    82, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 777.3849487305s, input_fired_time: 8.6779069901, output_fired_time: 6.4554281235, propagate_forward_time: 298.5733337402, propagate_backward_time: 454.6515808105, weight_update_time: 0.6937827468, other_time: 9.0266723633
epoch time: 63.0392189026s, input_fired_time: 0.9840564728, output_fired_time: 0.0000000000, propagate_forward_time: 60.4013214111, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6538391113
validation[          , genome 13612] predictions:    9891/  10000 (98.91%), best:    9893/10000 (98.93%), error:       342.55051, best error:       328.61383 on epoch:    82, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 780.8266601562s, input_fired_time: 8.6960344315, output_fired_time: 6.4491553307, propagate_forward_time: 299.8168029785, propagate_backward_time: 456.7768249512, weight_update_time: 0.7033351660, other_time: 9.0878295898
epoch time: 62.2890205383s, input_fired_time: 0.9629612565, output_fired_time: 0.0000000000, propagate_forward_time: 59.7212181091, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6048393250
validation[          , genome 13612] predictions:    9901/  10000 (99.01%), best:    9893/10000 (98.93%), error:       349.35724, best error:       328.61383 on epoch:    82, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 776.8703613281s, input_fired_time: 8.6735038757, output_fired_time: 6.3989629745, propagate_forward_time: 298.2467346191, propagate_backward_time: 454.4841918945, weight_update_time: 0.6925459504, other_time: 9.0669250488
epoch time: 62.2844200134s, input_fired_time: 0.9631737471, output_fired_time: 0.0000000000, propagate_forward_time: 59.6964912415, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6247558594
validation[          , genome 13612] predictions:    9894/  10000 (98.94%), best:    9893/10000 (98.93%), error:       328.97705, best error:       328.61383 on epoch:    82, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 776.8081665039s, input_fired_time: 8.6621408463, output_fired_time: 6.3979382515, propagate_forward_time: 298.5409545898, propagate_backward_time: 454.1341247559, weight_update_time: 0.6935490966, other_time: 9.0729675293
epoch time: 61.9414253235s, input_fired_time: 0.9609125853, output_fired_time: 0.0000000000, propagate_forward_time: 59.3783760071, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6021385193
validation[          , genome 13612] predictions:    9884/  10000 (98.84%), best:    9893/10000 (98.93%), error:       357.38922, best error:       328.61383 on epoch:    82, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 778.1669921875s, input_fired_time: 8.7108821869, output_fired_time: 6.4491753578, propagate_forward_time: 298.8065185547, propagate_backward_time: 455.2320861816, weight_update_time: 0.6938021183, other_time: 8.9683532715
epoch time: 62.2519760132s, input_fired_time: 0.9621335268, output_fired_time: 0.0000000000, propagate_forward_time: 59.6770553589, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6127853394
validation[          , genome 13612] predictions:    9892/  10000 (98.92%), best:    9893/10000 (98.93%), error:       348.00589, best error:       328.61383 on epoch:    82, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 774.8954467773s, input_fired_time: 8.6569528580, output_fired_time: 6.4005961418, propagate_forward_time: 297.4718322754, propagate_backward_time: 453.3975524902, weight_update_time: 0.6929599047, other_time: 8.9685058594
epoch time: 61.8774375916s, input_fired_time: 0.9583440423, output_fired_time: 0.0000000000, propagate_forward_time: 59.3179740906, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6011199951
validation[          , genome 13612] predictions:    9875/  10000 (98.75%), best:    9893/10000 (98.93%), error:       339.00446, best error:       328.61383 on epoch:    82, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 770.3974609375s, input_fired_time: 8.6347579956, output_fired_time: 6.3502521515, propagate_forward_time: 296.0171813965, propagate_backward_time: 450.4306335449, weight_update_time: 0.6882932186, other_time: 8.9645996094
epoch time: 62.2520980835s, input_fired_time: 0.9640296698, output_fired_time: 0.0000000000, propagate_forward_time: 59.6684112549, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6196556091
validation[          , genome 13612] predictions:    9888/  10000 (98.88%), best:    9893/10000 (98.93%), error:       337.54135, best error:       328.61383 on epoch:    82, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 777.2606201172s, input_fired_time: 8.5962047577, output_fired_time: 6.4552469254, propagate_forward_time: 297.3282470703, propagate_backward_time: 455.7949523926, weight_update_time: 0.6902812123, other_time: 9.0859680176
epoch time: 61.8856964111s, input_fired_time: 0.9575976729, output_fired_time: 0.0000000000, propagate_forward_time: 59.3083534241, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6197471619
validation[          , genome 13612] predictions:    9892/  10000 (98.92%), best:    9892/10000 (98.92%), error:       323.38852, best error:       323.38852 on epoch:    96, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 773.0656738281s, input_fired_time: 8.6463575363, output_fired_time: 6.3607916832, propagate_forward_time: 297.1975708008, propagate_backward_time: 451.8463134766, weight_update_time: 0.6903258562, other_time: 9.0146484375
epoch time: 62.0832023621s, input_fired_time: 0.9590267539, output_fired_time: 0.0000000000, propagate_forward_time: 59.5116004944, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6125755310
validation[          , genome 13612] predictions:    9900/  10000 (99.00%), best:    9892/10000 (98.92%), error:       330.18451, best error:       323.38852 on epoch:    96, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 768.2173461914s, input_fired_time: 8.6250743866, output_fired_time: 6.4111232758, propagate_forward_time: 295.8422241211, propagate_backward_time: 448.3786315918, weight_update_time: 0.6921113729, other_time: 8.9602966309
epoch time: 61.8754386902s, input_fired_time: 0.9625611901, output_fired_time: 0.0000000000, propagate_forward_time: 59.3027381897, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6101379395
validation[          , genome 13612] predictions:    9885/  10000 (98.85%), best:    9892/10000 (98.92%), error:       328.72604, best error:       323.38852 on epoch:    96, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 765.3695068359s, input_fired_time: 8.5773639679, output_fired_time: 6.3318653107, propagate_forward_time: 293.7405090332, propagate_backward_time: 447.7623291016, weight_update_time: 0.6886414886, other_time: 8.9574279785
epoch time: 61.9742622375s, input_fired_time: 0.9659502506, output_fired_time: 0.0000000000, propagate_forward_time: 59.3944091797, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6139030457
validation[          , genome 13612] predictions:    9887/  10000 (98.87%), best:    9892/10000 (98.92%), error:       343.55417, best error:       323.38852 on epoch:    96, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 766.6959228516s, input_fired_time: 8.5942335129, output_fired_time: 6.3322081566, propagate_forward_time: 294.5599060059, propagate_backward_time: 448.2315063477, weight_update_time: 0.6840066314, other_time: 8.9780578613
epoch time: 61.8195190430s, input_fired_time: 0.9600040317, output_fired_time: 0.0000000000, propagate_forward_time: 59.2433166504, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6161994934
validation[          , genome 13612] predictions:    9884/  10000 (98.84%), best:    9892/10000 (98.92%), error:       361.27768, best error:       323.38852 on epoch:    96, 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: 309.4101867676s, input_fired_time: 4.8465142250, output_fired_time: 0.0000000000, propagate_forward_time: 296.4262084961, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.1374511719
best training[          , genome 13612] predictions:   49999/  50000 (100.00%), best:    9892/10000 (98.92%), error:       128.00615, best error:       323.38852 on epoch:    96, 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: 61.3251686096s, input_fired_time: 0.9526691437, output_fired_time: 0.0000000000, propagate_forward_time: 58.7418365479, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6306610107
   testing[          , genome 13612] predictions:    9915/  10000 (99.15%), best:    9892/10000 (98.92%), error:       258.31964, best error:       323.38852 on epoch:    96, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
06:31:37 (1869): called boinc_finish(0)

</stderr_txt>
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