Nameexact_genome_1512568488_41_6687_1
Workunit2604719
Created7 Dec 2017, 21:20:02 UTC
Sent7 Dec 2017, 21:25:17 UTC
Report deadline15 Dec 2017, 21:52:15 UTC
Received8 Dec 2017, 19:05:18 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID58743
Run time1 hours 59 min 49 sec
CPU time1 hours 50 min 27 sec
Validate stateValid
Credit2,004.68
Device peak FLOPS3.79 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size152.59 MB
Peak swap size151.17 MB
Peak disk usage1.80 MB

Stderr output

<core_client_version>7.6.33</core_client_version>
<![CDATA[
<stderr_txt>
0.0000000000, other_time: 0.2899651527
validation[          , genome  6687] predictions:    9558/  10000 (95.58%), best:    9660/10000 (96.60%), error:      1458.46472, best error:      1146.14648 on epoch:     7, epoch:   20/100, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 60.8726577759s, input_fired_time: 0.8599036932, output_fired_time: 0.7047762871, propagate_forward_time: 21.9204330444, propagate_backward_time: 35.7247772217, weight_update_time: 0.0780510083, other_time: 1.6627655029
epoch time: 4.7710976601s, input_fired_time: 0.0975843370, output_fired_time: 0.0000000000, propagate_forward_time: 4.3818054199, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2917079926
validation[          , genome  6687] predictions:    9570/  10000 (95.70%), best:    9660/10000 (96.60%), error:      1434.68433, best error:      1146.14648 on epoch:     7, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 60.8689422607s, input_fired_time: 0.8625078201, output_fired_time: 0.7048627734, propagate_forward_time: 21.9132175446, propagate_backward_time: 35.7256126404, weight_update_time: 0.0782685205, other_time: 1.6627388000
epoch time: 4.7707910538s, input_fired_time: 0.0982959867, output_fired_time: 0.0000000000, propagate_forward_time: 4.3808908463, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2916040421
validation[          , genome  6687] predictions:    9488/  10000 (94.88%), best:    9660/10000 (96.60%), error:      1776.00378, best error:      1146.14648 on epoch:     7, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 61.2067184448s, input_fired_time: 0.8708406687, output_fired_time: 0.7102091312, propagate_forward_time: 22.0511131287, propagate_backward_time: 35.8865509033, weight_update_time: 0.0786304697, other_time: 1.6880035400
epoch time: 4.7748708725s, input_fired_time: 0.0983855948, output_fired_time: 0.0000000000, propagate_forward_time: 4.3836059570, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2928791046
validation[          , genome  6687] predictions:    9566/  10000 (95.66%), best:    9660/10000 (96.60%), error:      1495.53210, best error:      1146.14648 on epoch:     7, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 60.8779067993s, input_fired_time: 0.8636130095, output_fired_time: 0.7047343850, propagate_forward_time: 21.9273414612, propagate_backward_time: 35.7190551758, weight_update_time: 0.0780930519, other_time: 1.6631622314
epoch time: 4.7674441338s, input_fired_time: 0.0973917618, output_fired_time: 0.0000000000, propagate_forward_time: 4.3805570602, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2894954681
validation[          , genome  6687] predictions:    9513/  10000 (95.13%), best:    9660/10000 (96.60%), error:      1695.29480, best error:      1146.14648 on epoch:     7, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 60.8724670410s, input_fired_time: 0.8657506704, output_fired_time: 0.7054936290, propagate_forward_time: 21.9180774689, propagate_backward_time: 35.7216033936, weight_update_time: 0.0781343728, other_time: 1.6615447998
epoch time: 4.7728443146s, input_fired_time: 0.0980376601, output_fired_time: 0.0000000000, propagate_forward_time: 4.3820285797, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2927780151
validation[          , genome  6687] predictions:    9531/  10000 (95.31%), best:    9660/10000 (96.60%), error:      1504.33130, best error:      1146.14648 on epoch:     7, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 60.8748855591s, input_fired_time: 0.8649616241, output_fired_time: 0.7047161460, propagate_forward_time: 21.9246082306, propagate_backward_time: 35.7183532715, weight_update_time: 0.0781395733, other_time: 1.6622467041
epoch time: 4.7699937820s, input_fired_time: 0.0976445675, output_fired_time: 0.0000000000, propagate_forward_time: 4.3811111450, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2912378311
validation[          , genome  6687] predictions:    9585/  10000 (95.85%), best:    9660/10000 (96.60%), error:      1374.92688, best error:      1146.14648 on epoch:     7, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 60.8787460327s, input_fired_time: 0.8633506894, output_fired_time: 0.7048325539, propagate_forward_time: 21.9329929352, propagate_backward_time: 35.7161827087, weight_update_time: 0.0781888217, other_time: 1.6613883972
epoch time: 4.7693419456s, input_fired_time: 0.0981789604, output_fired_time: 0.0000000000, propagate_forward_time: 4.3804287910, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2907342911
validation[          , genome  6687] predictions:    9582/  10000 (95.82%), best:    9660/10000 (96.60%), error:      1374.67920, best error:      1146.14648 on epoch:     7, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 60.8884315491s, input_fired_time: 0.8651261330, output_fired_time: 0.7054624557, propagate_forward_time: 21.9230060577, propagate_backward_time: 35.7331924438, weight_update_time: 0.0784336925, other_time: 1.6616439819
epoch time: 4.7837686539s, input_fired_time: 0.0984256119, output_fired_time: 0.0000000000, propagate_forward_time: 4.3869271278, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2984161377
validation[          , genome  6687] predictions:    9529/  10000 (95.29%), best:    9660/10000 (96.60%), error:      1562.05640, best error:      1146.14648 on epoch:     7, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 60.8924026489s, input_fired_time: 0.8655622602, output_fired_time: 0.7056632042, propagate_forward_time: 21.9315509796, propagate_backward_time: 35.7265968323, weight_update_time: 0.0782452300, other_time: 1.6630287170
epoch time: 4.7699828148s, input_fired_time: 0.0987605974, output_fired_time: 0.0000000000, propagate_forward_time: 4.3805761337, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2906460762
validation[          , genome  6687] predictions:    9551/  10000 (95.51%), best:    9660/10000 (96.60%), error:      1527.82983, best error:      1146.14648 on epoch:     7, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 60.9007911682s, input_fired_time: 0.8673850298, output_fired_time: 0.7051628828, propagate_forward_time: 21.9379539490, propagate_backward_time: 35.7278213501, weight_update_time: 0.0780007318, other_time: 1.6624679565
epoch time: 4.7731151581s, input_fired_time: 0.0984204486, output_fired_time: 0.0000000000, propagate_forward_time: 4.3827638626, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2919306755
validation[          , genome  6687] predictions:    9569/  10000 (95.69%), best:    9660/10000 (96.60%), error:      1521.54871, best error:      1146.14648 on epoch:     7, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 60.9031639099s, input_fired_time: 0.8702793717, output_fired_time: 0.7050359249, propagate_forward_time: 21.9377899170, propagate_backward_time: 35.7271118164, weight_update_time: 0.0782657564, other_time: 1.6629447937
epoch time: 4.7827663422s, input_fired_time: 0.0996870100, output_fired_time: 0.0000000000, propagate_forward_time: 4.3867740631, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2963051796
validation[          , genome  6687] predictions:    9596/  10000 (95.96%), best:    9660/10000 (96.60%), error:      1431.22632, best error:      1146.14648 on epoch:     7, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 60.8845634460s, input_fired_time: 0.8735783696, output_fired_time: 0.7053501606, propagate_forward_time: 21.9251575470, propagate_backward_time: 35.7174224854, weight_update_time: 0.0780687481, other_time: 1.6630554199
epoch time: 4.7780723572s, input_fired_time: 0.0993017703, output_fired_time: 0.0000000000, propagate_forward_time: 4.3850474358, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2937231064
validation[          , genome  6687] predictions:    9569/  10000 (95.69%), best:    9660/10000 (96.60%), error:      1475.80945, best error:      1146.14648 on epoch:     7, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 60.8994636536s, input_fired_time: 0.8724563122, output_fired_time: 0.7060151696, propagate_forward_time: 21.9272937775, propagate_backward_time: 35.7265892029, weight_update_time: 0.0782599896, other_time: 1.6671104431
epoch time: 4.7727432251s, input_fired_time: 0.0982008427, output_fired_time: 0.0000000000, propagate_forward_time: 4.3830480576, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2914943695
validation[          , genome  6687] predictions:    9550/  10000 (95.50%), best:    9660/10000 (96.60%), error:      1526.61133, best error:      1146.14648 on epoch:     7, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 60.8703117371s, input_fired_time: 0.8697544932, output_fired_time: 0.7051891685, propagate_forward_time: 21.9114627838, propagate_backward_time: 35.7236480713, weight_update_time: 0.0781367570, other_time: 1.6602554321
epoch time: 4.7776308060s, input_fired_time: 0.0984971300, output_fired_time: 0.0000000000, propagate_forward_time: 4.3843226433, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2948112488
validation[          , genome  6687] predictions:    9590/  10000 (95.90%), best:    9660/10000 (96.60%), error:      1422.19409, best error:      1146.14648 on epoch:     7, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 60.8746299744s, input_fired_time: 0.8667930365, output_fired_time: 0.7060538530, propagate_forward_time: 21.9247722626, propagate_backward_time: 35.7165336609, weight_update_time: 0.0780198425, other_time: 1.6604728699
epoch time: 4.7735347748s, input_fired_time: 0.0988156796, output_fired_time: 0.0000000000, propagate_forward_time: 4.3828234673, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2918953896
validation[          , genome  6687] predictions:    9580/  10000 (95.80%), best:    9660/10000 (96.60%), error:      1462.76807, best error:      1146.14648 on epoch:     7, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 60.8926086426s, input_fired_time: 0.8693127036, output_fired_time: 0.7062249780, propagate_forward_time: 21.9275798798, propagate_backward_time: 35.7301330566, weight_update_time: 0.0781665221, other_time: 1.6593551636
epoch time: 4.7773914337s, input_fired_time: 0.0985032916, output_fired_time: 0.0000000000, propagate_forward_time: 4.3860239983, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2928643227
validation[          , genome  6687] predictions:    9514/  10000 (95.14%), best:    9660/10000 (96.60%), error:      1544.77966, best error:      1146.14648 on epoch:     7, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 60.8850631714s, input_fired_time: 0.8695421815, output_fired_time: 0.7052881122, propagate_forward_time: 21.9238204956, propagate_backward_time: 35.7224044800, weight_update_time: 0.0783125907, other_time: 1.6640090942
epoch time: 4.7728195190s, input_fired_time: 0.0993698910, output_fired_time: 0.0000000000, propagate_forward_time: 4.3819999695, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2914495468
validation[          , genome  6687] predictions:    9583/  10000 (95.83%), best:    9660/10000 (96.60%), error:      1481.53052, best error:      1146.14648 on epoch:     7, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 60.8772659302s, input_fired_time: 0.8720813394, output_fired_time: 0.7053965330, propagate_forward_time: 21.9159679413, propagate_backward_time: 35.7215538025, weight_update_time: 0.0781925470, other_time: 1.6622657776
epoch time: 4.7752451897s, input_fired_time: 0.0998816788, output_fired_time: 0.0000000000, propagate_forward_time: 4.3831558228, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2922077179
validation[          , genome  6687] predictions:    9602/  10000 (96.02%), best:    9660/10000 (96.60%), error:      1369.26306, best error:      1146.14648 on epoch:     7, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 60.8874664307s, input_fired_time: 0.8732410073, output_fired_time: 0.7052195668, propagate_forward_time: 21.9177322388, propagate_backward_time: 35.7254791260, weight_update_time: 0.0779404938, other_time: 1.6657943726
epoch time: 4.7762517929s, input_fired_time: 0.0995047018, output_fired_time: 0.0000000000, propagate_forward_time: 4.3832168579, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2935304642
validation[          , genome  6687] predictions:    9572/  10000 (95.72%), best:    9660/10000 (96.60%), error:      1405.37097, best error:      1146.14648 on epoch:     7, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 60.9069290161s, input_fired_time: 0.8745827675, output_fired_time: 0.7055865526, propagate_forward_time: 21.9380512238, propagate_backward_time: 35.7241439819, weight_update_time: 0.0781888738, other_time: 1.6645660400
epoch time: 4.7706871033s, input_fired_time: 0.0990667865, output_fired_time: 0.0000000000, propagate_forward_time: 4.3802413940, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2913789749
validation[          , genome  6687] predictions:    9547/  10000 (95.47%), best:    9660/10000 (96.60%), error:      1550.39355, best error:      1146.14648 on epoch:     7, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 60.8804626465s, input_fired_time: 0.8726723790, output_fired_time: 0.7045171261, propagate_forward_time: 21.9281654358, propagate_backward_time: 35.7111930847, weight_update_time: 0.0784594566, other_time: 1.6639137268
epoch time: 4.7741842270s, input_fired_time: 0.1003014892, output_fired_time: 0.0000000000, propagate_forward_time: 4.3817734718, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2921094894
validation[          , genome  6687] predictions:    9507/  10000 (95.07%), best:    9660/10000 (96.60%), error:      1705.61194, best error:      1146.14648 on epoch:     7, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 60.8974533081s, input_fired_time: 0.8790868521, output_fired_time: 0.7049766183, propagate_forward_time: 21.9290924072, propagate_backward_time: 35.7206192017, weight_update_time: 0.0780837163, other_time: 1.6636810303
epoch time: 4.7674708366s, input_fired_time: 0.1002402529, output_fired_time: 0.0000000000, propagate_forward_time: 4.3770265579, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2902040482
validation[          , genome  6687] predictions:    9582/  10000 (95.82%), best:    9660/10000 (96.60%), error:      1392.06787, best error:      1146.14648 on epoch:     7, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 60.8943710327s, input_fired_time: 0.8752203584, output_fired_time: 0.7048282623, propagate_forward_time: 21.9304447174, propagate_backward_time: 35.7236480713, weight_update_time: 0.0781795681, other_time: 1.6602325439
epoch time: 4.7720308304s, input_fired_time: 0.0975830108, output_fired_time: 0.0000000000, propagate_forward_time: 4.3822374344, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2922105789
validation[          , genome  6687] predictions:    9576/  10000 (95.76%), best:    9660/10000 (96.60%), error:      1488.99536, best error:      1146.14648 on epoch:     7, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 60.8958473206s, input_fired_time: 0.8681014776, output_fired_time: 0.7055732012, propagate_forward_time: 21.9385509491, propagate_backward_time: 35.7170906067, weight_update_time: 0.0782147944, other_time: 1.6665306091
epoch time: 4.7729897499s, input_fired_time: 0.0994197428, output_fired_time: 0.0000000000, propagate_forward_time: 4.3832697868, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2903003693
validation[          , genome  6687] predictions:    9609/  10000 (96.09%), best:    9660/10000 (96.60%), error:      1371.15869, best error:      1146.14648 on epoch:     7, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 60.9090347290s, input_fired_time: 0.8703287244, output_fired_time: 0.7059630156, propagate_forward_time: 21.9398803711, propagate_backward_time: 35.7308540344, weight_update_time: 0.0784651712, other_time: 1.6620101929
epoch time: 4.7739386559s, input_fired_time: 0.0975740775, output_fired_time: 0.0000000000, propagate_forward_time: 4.3845572472, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2918071747
validation[          , genome  6687] predictions:    9499/  10000 (94.99%), best:    9660/10000 (96.60%), error:      1828.55725, best error:      1146.14648 on epoch:     7, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 60.9123001099s, input_fired_time: 0.8716099262, output_fired_time: 0.7056977153, propagate_forward_time: 21.9339389801, propagate_backward_time: 35.7363204956, weight_update_time: 0.0782641247, other_time: 1.6647338867
epoch time: 4.7756128311s, input_fired_time: 0.0990127251, output_fired_time: 0.0000000000, propagate_forward_time: 4.3852639198, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2913360596
validation[          , genome  6687] predictions:    9598/  10000 (95.98%), best:    9660/10000 (96.60%), error:      1368.95300, best error:      1146.14648 on epoch:     7, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 60.8918380737s, input_fired_time: 0.8700788617, output_fired_time: 0.7061113119, propagate_forward_time: 21.9259815216, propagate_backward_time: 35.7291221619, weight_update_time: 0.0782363415, other_time: 1.6605415344
epoch time: 4.7710862160s, input_fired_time: 0.0993414745, output_fired_time: 0.0000000000, propagate_forward_time: 4.3812284470, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2905163765
validation[          , genome  6687] predictions:    9540/  10000 (95.40%), best:    9660/10000 (96.60%), error:      1535.69507, best error:      1146.14648 on epoch:     7, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 60.8998641968s, input_fired_time: 0.8709387779, output_fired_time: 0.7047154903, propagate_forward_time: 21.9294281006, propagate_backward_time: 35.7279052734, weight_update_time: 0.0807337761, other_time: 1.6668777466
epoch time: 4.7773470879s, input_fired_time: 0.0984530151, output_fired_time: 0.0000000000, propagate_forward_time: 4.3862519264, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2926421165
validation[          , genome  6687] predictions:    9623/  10000 (96.23%), best:    9660/10000 (96.60%), error:      1329.71606, best error:      1146.14648 on epoch:     7, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 60.8803672791s, input_fired_time: 0.8729355931, output_fired_time: 0.7069976330, propagate_forward_time: 21.9211158752, propagate_backward_time: 35.7170333862, weight_update_time: 0.0785083026, other_time: 1.6622848511
epoch time: 4.7711458206s, input_fired_time: 0.0990147293, output_fired_time: 0.0000000000, propagate_forward_time: 4.3804364204, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2916946411
validation[          , genome  6687] predictions:    9624/  10000 (96.24%), best:    9660/10000 (96.60%), error:      1323.13770, best error:      1146.14648 on epoch:     7, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 60.8878250122s, input_fired_time: 0.8751418591, output_fired_time: 0.7053582668, propagate_forward_time: 21.9289264679, propagate_backward_time: 35.7151947021, weight_update_time: 0.0782248080, other_time: 1.6632080078
epoch time: 4.7764458656s, input_fired_time: 0.1007325128, output_fired_time: 0.0000000000, propagate_forward_time: 4.3831701279, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2925434113
validation[          , genome  6687] predictions:    9536/  10000 (95.36%), best:    9660/10000 (96.60%), error:      1644.60767, best error:      1146.14648 on epoch:     7, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

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_41_6687.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_41_6687_1_r1161687403_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: 0.954182
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000913721
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.65488e-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: 51
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 7
read number_validation_images: 10000
read best_validation_predictions: 9660
read best_validation_error: 1146.15
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: 6687
read normal distribution: '0 -0.689552366733551 -0.153013616800308'
generator_str: '1219542047'
read generator: 1219542047
read generated_by_map:
1 change_size 1
reading 23 nodes.
reading 48 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: 60.8811225891113s, input_fired_time: 0.877245545387268, output_fired_time: 0.707052826881409, propagate_forward_time: 21.9388256072998, propagate_backward_time: 35.7586822509766, weight_update_time: 0.0772719234228134, other_time: 1.59931182861328
epoch time: 4.76728487014771s, input_fired_time: 0.100109532475471, output_fired_time: 0, propagate_forward_time: 4.38379859924316, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.283376693725586
validation[          , genome  6687] predictions:    9586/  10000 (95.86%), best:    9660/10000 (96.60%), error:      1408.03015, best error:      1146.14648 on epoch:     7, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 60.9467086792s, input_fired_time: 0.8793781996, output_fired_time: 0.7100756764, propagate_forward_time: 21.9534702301, propagate_backward_time: 35.8025283813, weight_update_time: 0.0776181445, other_time: 1.6012573242
epoch time: 4.7689924240s, input_fired_time: 0.0994636118, output_fired_time: 0.0000000000, propagate_forward_time: 4.3845620155, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2849669456
validation[          , genome  6687] predictions:    9575/  10000 (95.75%), best:    9660/10000 (96.60%), error:      1490.81091, best error:      1146.14648 on epoch:     7, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 61.0633468628s, input_fired_time: 0.8793511987, output_fired_time: 0.7114432454, propagate_forward_time: 21.9999675751, propagate_backward_time: 35.8560409546, weight_update_time: 0.0782045946, other_time: 1.6165390015
epoch time: 4.7703204155s, input_fired_time: 0.1017541215, output_fired_time: 0.0000000000, propagate_forward_time: 4.3852715492, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2832946777
validation[          , genome  6687] predictions:    9617/  10000 (96.17%), best:    9660/10000 (96.60%), error:      1341.79602, best error:      1146.14648 on epoch:     7, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 60.9068641663s, input_fired_time: 0.8825065494, output_fired_time: 0.7075262070, propagate_forward_time: 21.9433917999, propagate_backward_time: 35.7771797180, weight_update_time: 0.0775483623, other_time: 1.5962562561
epoch time: 4.7739858627s, input_fired_time: 0.1027598977, output_fired_time: 0.0000000000, propagate_forward_time: 4.3870830536, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2841429710
validation[          , genome  6687] predictions:    9633/  10000 (96.33%), best:    9660/10000 (96.60%), error:      1308.41589, best error:      1146.14648 on epoch:     7, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 60.8123817444s, input_fired_time: 0.8848901987, output_fired_time: 0.7070542574, propagate_forward_time: 21.9067077637, propagate_backward_time: 35.7199058533, weight_update_time: 0.0775596574, other_time: 1.5938224792
epoch time: 4.7640705109s, input_fired_time: 0.1021930203, output_fired_time: 0.0000000000, propagate_forward_time: 4.3784661293, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2834115028
validation[          , genome  6687] predictions:    9629/  10000 (96.29%), best:    9660/10000 (96.60%), error:      1340.20007, best error:      1146.14648 on epoch:     7, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 60.8188705444s, input_fired_time: 0.8820343614, output_fired_time: 0.7073314190, propagate_forward_time: 21.9087333679, propagate_backward_time: 35.7269020081, weight_update_time: 0.0775644034, other_time: 1.5938682556
epoch time: 4.7703709602s, input_fired_time: 0.1008471921, output_fired_time: 0.0000000000, propagate_forward_time: 4.3856348991, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2838888168
validation[          , genome  6687] predictions:    9567/  10000 (95.67%), best:    9660/10000 (96.60%), error:      1443.29736, best error:      1146.14648 on epoch:     7, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 60.8621902466s, input_fired_time: 0.8818179965, output_fired_time: 0.7076164484, propagate_forward_time: 21.9283065796, propagate_backward_time: 35.7477836609, weight_update_time: 0.0774857923, other_time: 1.5966682434
epoch time: 4.7635850906s, input_fired_time: 0.1016682312, output_fired_time: 0.0000000000, propagate_forward_time: 4.3791012764, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2828154564
validation[          , genome  6687] predictions:    9613/  10000 (96.13%), best:    9660/10000 (96.60%), error:      1377.71704, best error:      1146.14648 on epoch:     7, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 60.8987274170s, input_fired_time: 0.8804146647, output_fired_time: 0.7088655829, propagate_forward_time: 21.9364223480, propagate_backward_time: 35.7776069641, weight_update_time: 0.0773096532, other_time: 1.5954170227
epoch time: 4.7699990273s, input_fired_time: 0.1002330258, output_fired_time: 0.0000000000, propagate_forward_time: 4.3855872154, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2841787338
validation[          , genome  6687] predictions:    9585/  10000 (95.85%), best:    9660/10000 (96.60%), error:      1498.61572, best error:      1146.14648 on epoch:     7, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 60.8766784668s, input_fired_time: 0.8782764673, output_fired_time: 0.7084555030, propagate_forward_time: 21.9299945831, propagate_backward_time: 35.7635688782, weight_update_time: 0.0777147114, other_time: 1.5963859558
epoch time: 4.7713451385s, input_fired_time: 0.1009200364, output_fired_time: 0.0000000000, propagate_forward_time: 4.3858485222, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2845764160
validation[          , genome  6687] predictions:    9564/  10000 (95.64%), best:    9660/10000 (96.60%), error:      1564.12854, best error:      1146.14648 on epoch:     7, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 60.8741149902s, input_fired_time: 0.8801445961, output_fired_time: 0.7081823945, propagate_forward_time: 21.9336090088, propagate_backward_time: 35.7590980530, weight_update_time: 0.0773215368, other_time: 1.5930786133
epoch time: 4.7679309845s, input_fired_time: 0.1003688574, output_fired_time: 0.0000000000, propagate_forward_time: 4.3839464188, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2836155891
validation[          , genome  6687] predictions:    9562/  10000 (95.62%), best:    9660/10000 (96.60%), error:      1539.18677, best error:      1146.14648 on epoch:     7, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 60.9093704224s, input_fired_time: 0.8802403808, output_fired_time: 0.7073556185, propagate_forward_time: 21.9474201202, propagate_backward_time: 35.7764396667, weight_update_time: 0.0773187727, other_time: 1.5979118347
epoch time: 4.7715287209s, input_fired_time: 0.1011714488, output_fired_time: 0.0000000000, propagate_forward_time: 4.3860406876, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2843165398
validation[          , genome  6687] predictions:    9574/  10000 (95.74%), best:    9660/10000 (96.60%), error:      1527.66882, best error:      1146.14648 on epoch:     7, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 60.8778190613s, input_fired_time: 0.8781772256, output_fired_time: 0.7077461481, propagate_forward_time: 21.9353752136, propagate_backward_time: 35.7606353760, weight_update_time: 0.0774406120, other_time: 1.5958862305
epoch time: 4.7658619881s, input_fired_time: 0.1011074632, output_fired_time: 0.0000000000, propagate_forward_time: 4.3820762634, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2826781273
validation[          , genome  6687] predictions:    9622/  10000 (96.22%), best:    9660/10000 (96.60%), error:      1314.21497, best error:      1146.14648 on epoch:     7, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 60.8590888977s, input_fired_time: 0.8755244017, output_fired_time: 0.7068495154, propagate_forward_time: 21.9297389984, propagate_backward_time: 35.7528991699, weight_update_time: 0.0774717405, other_time: 1.5940780640
epoch time: 4.7667374611s, input_fired_time: 0.1000254527, output_fired_time: 0.0000000000, propagate_forward_time: 4.3829159737, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2837958336
validation[          , genome  6687] predictions:    9537/  10000 (95.37%), best:    9660/10000 (96.60%), error:      1608.48071, best error:      1146.14648 on epoch:     7, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 60.8676147461s, input_fired_time: 0.8754216433, output_fired_time: 0.7071782351, propagate_forward_time: 21.9385852814, propagate_backward_time: 35.7528991699, weight_update_time: 0.0774857625, other_time: 1.5935287476
epoch time: 4.7658123970s, input_fired_time: 0.0996213034, output_fired_time: 0.0000000000, propagate_forward_time: 4.3822455406, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2839455605
validation[          , genome  6687] predictions:    9551/  10000 (95.51%), best:    9660/10000 (96.60%), error:      1509.95044, best error:      1146.14648 on epoch:     7, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 60.8879127502s, input_fired_time: 0.8755661249, output_fired_time: 0.7089459896, propagate_forward_time: 21.9399127960, propagate_backward_time: 35.7645759583, weight_update_time: 0.0775599703, other_time: 1.5989112854
epoch time: 4.7653789520s, input_fired_time: 0.1010031477, output_fired_time: 0.0000000000, propagate_forward_time: 4.3807673454, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2836084366
validation[          , genome  6687] predictions:    9595/  10000 (95.95%), best:    9660/10000 (96.60%), error:      1388.23267, best error:      1146.14648 on epoch:     7, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 60.8538932800s, input_fired_time: 0.8750318885, output_fired_time: 0.7072386742, propagate_forward_time: 21.9265518188, propagate_backward_time: 35.7490615845, weight_update_time: 0.0778945759, other_time: 1.5960121155
epoch time: 4.7651472092s, input_fired_time: 0.1004277021, output_fired_time: 0.0000000000, propagate_forward_time: 4.3822536469, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2824659348
validation[          , genome  6687] predictions:    9565/  10000 (95.65%), best:    9660/10000 (96.60%), error:      1464.79321, best error:      1146.14648 on epoch:     7, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 60.8280410767s, input_fired_time: 0.8742389083, output_fired_time: 0.7077069283, propagate_forward_time: 21.9158744812, propagate_backward_time: 35.7368431091, weight_update_time: 0.0773985833, other_time: 1.5933799744
epoch time: 4.7696914673s, input_fired_time: 0.0994105861, output_fired_time: 0.0000000000, propagate_forward_time: 4.3853034973, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2849774361
validation[          , genome  6687] predictions:    9573/  10000 (95.73%), best:    9660/10000 (96.60%), error:      1487.39014, best error:      1146.14648 on epoch:     7, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 60.8364295959s, input_fired_time: 0.8761794567, output_fired_time: 0.7075200677, propagate_forward_time: 21.9204750061, propagate_backward_time: 35.7379302979, weight_update_time: 0.0774686560, other_time: 1.5943260193
epoch time: 4.7671284676s, input_fired_time: 0.1004957557, output_fired_time: 0.0000000000, propagate_forward_time: 4.3815374374, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2850952148
validation[          , genome  6687] predictions:    9553/  10000 (95.53%), best:    9660/10000 (96.60%), error:      1503.79456, best error:      1146.14648 on epoch:     7, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 60.8342590332s, input_fired_time: 0.8762809038, output_fired_time: 0.7069784403, propagate_forward_time: 21.9182434082, propagate_backward_time: 35.7394866943, weight_update_time: 0.0774467587, other_time: 1.5932693481
epoch time: 4.7646536827s, input_fired_time: 0.0998836905, output_fired_time: 0.0000000000, propagate_forward_time: 4.3818712234, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2828989029
validation[          , genome  6687] predictions:    9577/  10000 (95.77%), best:    9660/10000 (96.60%), error:      1461.28662, best error:      1146.14648 on epoch:     7, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 60.8491287231s, input_fired_time: 0.8820199370, output_fired_time: 0.7071981430, propagate_forward_time: 21.9232540131, propagate_backward_time: 35.7403602600, weight_update_time: 0.0774767846, other_time: 1.5962944031
epoch time: 4.7669773102s, input_fired_time: 0.1001936868, output_fired_time: 0.0000000000, propagate_forward_time: 4.3818202019, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2849636078
validation[          , genome  6687] predictions:    9603/  10000 (96.03%), best:    9660/10000 (96.60%), error:      1390.83777, best error:      1146.14648 on epoch:     7, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 60.9208374023s, input_fired_time: 0.8794963956, output_fired_time: 0.7083657980, propagate_forward_time: 21.9622211456, propagate_backward_time: 35.7731018066, weight_update_time: 0.0774156079, other_time: 1.5976486206
epoch time: 4.8669433594s, input_fired_time: 0.1028604731, output_fired_time: 0.0000000000, propagate_forward_time: 4.4574670792, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3066158295
validation[          , genome  6687] predictions:    9583/  10000 (95.83%), best:    9660/10000 (96.60%), error:      1433.44189, best error:      1146.14648 on epoch:     7, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 60.9255409241s, input_fired_time: 0.8859207034, output_fired_time: 0.7087801099, propagate_forward_time: 21.9378509521, propagate_backward_time: 35.7851867676, weight_update_time: 0.0776451379, other_time: 1.6078033447
epoch time: 4.7685604095s, input_fired_time: 0.1014431641, output_fired_time: 0.0000000000, propagate_forward_time: 4.3824644089, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2846527100
validation[          , genome  6687] predictions:    9607/  10000 (96.07%), best:    9660/10000 (96.60%), error:      1357.27344, best error:      1146.14648 on epoch:     7, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 60.8460464478s, input_fired_time: 0.8824888468, output_fired_time: 0.7087841630, propagate_forward_time: 21.9245147705, propagate_backward_time: 35.7356147766, weight_update_time: 0.0773438215, other_time: 1.5946426392
epoch time: 4.7656192780s, input_fired_time: 0.1016261578, output_fired_time: 0.0000000000, propagate_forward_time: 4.3809013367, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2830915451
validation[          , genome  6687] predictions:    9590/  10000 (95.90%), best:    9660/10000 (96.60%), error:      1427.81738, best error:      1146.14648 on epoch:     7, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 60.8788948059s, input_fired_time: 0.8850117922, output_fired_time: 0.7085390687, propagate_forward_time: 21.9325790405, propagate_backward_time: 35.7560119629, weight_update_time: 0.0776260644, other_time: 1.5967521667
epoch time: 4.7665724754s, input_fired_time: 0.1021670625, output_fired_time: 0.0000000000, propagate_forward_time: 4.3797273636, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2846779823
validation[          , genome  6687] predictions:    9622/  10000 (96.22%), best:    9660/10000 (96.60%), error:      1304.21472, best error:      1146.14648 on epoch:     7, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 60.8601760864s, input_fired_time: 0.8862460256, output_fired_time: 0.7090591192, propagate_forward_time: 21.9242897034, propagate_backward_time: 35.7449760437, weight_update_time: 0.0773457512, other_time: 1.5956039429
epoch time: 4.7674698830s, input_fired_time: 0.1034708321, output_fired_time: 0.0000000000, propagate_forward_time: 4.3812074661, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2827916145
validation[          , genome  6687] predictions:    9617/  10000 (96.17%), best:    9660/10000 (96.60%), error:      1340.25867, best error:      1146.14648 on epoch:     7, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 60.8593635559s, input_fired_time: 0.8869312406, output_fired_time: 0.7073949575, propagate_forward_time: 21.9254474640, propagate_backward_time: 35.7468223572, weight_update_time: 0.0773478821, other_time: 1.5927696228
epoch time: 4.7695960999s, input_fired_time: 0.1031741872, output_fired_time: 0.0000000000, propagate_forward_time: 4.3818140030, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2846078873
validation[          , genome  6687] predictions:    9616/  10000 (96.16%), best:    9660/10000 (96.60%), error:      1300.47278, best error:      1146.14648 on epoch:     7, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 60.8677062988s, input_fired_time: 0.8877471685, output_fired_time: 0.7081058621, propagate_forward_time: 21.9282207489, propagate_backward_time: 35.7492561340, weight_update_time: 0.0773796663, other_time: 1.5943717957
epoch time: 4.7723870277s, input_fired_time: 0.1031762287, output_fired_time: 0.0000000000, propagate_forward_time: 4.3860116005, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2831993103
validation[          , genome  6687] predictions:    9621/  10000 (96.21%), best:    9660/10000 (96.60%), error:      1323.44458, best error:      1146.14648 on epoch:     7, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 60.8661384583s, input_fired_time: 0.8859129548, output_fired_time: 0.7068182826, propagate_forward_time: 21.9291839600, propagate_backward_time: 35.7513999939, weight_update_time: 0.0774221197, other_time: 1.5928230286
epoch time: 4.7675051689s, input_fired_time: 0.1029165983, output_fired_time: 0.0000000000, propagate_forward_time: 4.3806948662, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2838935852
validation[          , genome  6687] predictions:    9571/  10000 (95.71%), best:    9660/10000 (96.60%), error:      1434.18835, best error:      1146.14648 on epoch:     7, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 60.8624877930s, input_fired_time: 0.8848010302, output_fired_time: 0.7091269493, propagate_forward_time: 21.9279270172, propagate_backward_time: 35.7466430664, weight_update_time: 0.0774174482, other_time: 1.5939941406
epoch time: 4.7694683075s, input_fired_time: 0.1021413580, output_fired_time: 0.0000000000, propagate_forward_time: 4.3827729225, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2845540047
validation[          , genome  6687] predictions:    9607/  10000 (96.07%), best:    9660/10000 (96.60%), error:      1364.93323, best error:      1146.14648 on epoch:     7, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 60.8571090698s, input_fired_time: 0.8857480288, output_fired_time: 0.7077455521, propagate_forward_time: 21.9240188599, propagate_backward_time: 35.7446708679, weight_update_time: 0.0772441998, other_time: 1.5949249268
epoch time: 4.7684626579s, input_fired_time: 0.1019631475, output_fired_time: 0.0000000000, propagate_forward_time: 4.3834114075, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2830882072
validation[          , genome  6687] predictions:    9593/  10000 (95.93%), best:    9660/10000 (96.60%), error:      1420.17395, best error:      1146.14648 on epoch:     7, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 60.8646621704s, input_fired_time: 0.8854499459, output_fired_time: 0.7078806758, propagate_forward_time: 21.9286117554, propagate_backward_time: 35.7482872009, weight_update_time: 0.0775292218, other_time: 1.5944328308
epoch time: 4.7785668373s, input_fired_time: 0.1026483104, output_fired_time: 0.0000000000, propagate_forward_time: 4.3875756264, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2883429527
validation[          , genome  6687] predictions:    9594/  10000 (95.94%), best:    9660/10000 (96.60%), error:      1410.17188, best error:      1146.14648 on epoch:     7, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 60.9323348999s, input_fired_time: 0.8882116675, output_fired_time: 0.7086715698, propagate_forward_time: 21.9507484436, propagate_backward_time: 35.7810630798, weight_update_time: 0.0776133984, other_time: 1.6036415100
epoch time: 4.7701783180s, input_fired_time: 0.1032826379, output_fired_time: 0.0000000000, propagate_forward_time: 4.3838510513, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2830448151
validation[          , genome  6687] predictions:    9618/  10000 (96.18%), best:    9660/10000 (96.60%), error:      1303.41174, best error:      1146.14648 on epoch:     7, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 60.8771667480s, input_fired_time: 0.8885875344, output_fired_time: 0.7078244090, propagate_forward_time: 21.9310741425, propagate_backward_time: 35.7543716431, weight_update_time: 0.0777776316, other_time: 1.5953063965
epoch time: 4.7938642502s, input_fired_time: 0.1052173376, output_fired_time: 0.0000000000, propagate_forward_time: 4.3992495537, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2893972397
validation[          , genome  6687] predictions:    9624/  10000 (96.24%), best:    9660/10000 (96.60%), error:      1329.37280, best error:      1146.14648 on epoch:     7, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 60.8956069946s, input_fired_time: 0.8927332163, output_fired_time: 0.7074098587, propagate_forward_time: 21.9351520538, propagate_backward_time: 35.7653350830, weight_update_time: 0.0774680302, other_time: 1.5949783325
epoch time: 4.7735829353s, input_fired_time: 0.1021092013, output_fired_time: 0.0000000000, propagate_forward_time: 4.3872385025, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2842350006
validation[          , genome  6687] predictions:    9583/  10000 (95.83%), best:    9660/10000 (96.60%), error:      1489.20898, best error:      1146.14648 on epoch:     7, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 60.8795051575s, input_fired_time: 0.8873155117, output_fired_time: 0.7078381181, propagate_forward_time: 21.9340000153, propagate_backward_time: 35.7554283142, weight_update_time: 0.0775640607, other_time: 1.5949211121
epoch time: 4.7683496475s, input_fired_time: 0.1032946408, output_fired_time: 0.0000000000, propagate_forward_time: 4.3810491562, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2840056419
validation[          , genome  6687] predictions:    9636/  10000 (96.36%), best:    9660/10000 (96.60%), error:      1303.79016, best error:      1146.14648 on epoch:     7, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 60.8677139282s, input_fired_time: 0.8881224394, output_fired_time: 0.7090768814, propagate_forward_time: 21.9249687195, propagate_backward_time: 35.7524948120, weight_update_time: 0.0775271133, other_time: 1.5930519104
epoch time: 4.7657365799s, input_fired_time: 0.1024335325, output_fired_time: 0.0000000000, propagate_forward_time: 4.3811631203, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2821397781
validation[          , genome  6687] predictions:    9633/  10000 (96.33%), best:    9660/10000 (96.60%), error:      1314.62720, best error:      1146.14648 on epoch:     7, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 60.8482360840s, input_fired_time: 0.8857442141, output_fired_time: 0.7068939209, propagate_forward_time: 21.9235877991, propagate_backward_time: 35.7376403809, weight_update_time: 0.0773904324, other_time: 1.5943679810
epoch time: 4.7675547600s, input_fired_time: 0.1019039303, output_fired_time: 0.0000000000, propagate_forward_time: 4.3812851906, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2843656540
validation[          , genome  6687] predictions:    9577/  10000 (95.77%), best:    9660/10000 (96.60%), error:      1458.11829, best error:      1146.14648 on epoch:     7, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 60.8183326721s, input_fired_time: 0.8850196600, output_fired_time: 0.7068025470, propagate_forward_time: 21.9057655334, propagate_backward_time: 35.7277984619, weight_update_time: 0.0773440823, other_time: 1.5929450989
epoch time: 4.7681488991s, input_fired_time: 0.1041222513, output_fired_time: 0.0000000000, propagate_forward_time: 4.3808436394, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2831830978
validation[          , genome  6687] predictions:    9628/  10000 (96.28%), best:    9660/10000 (96.60%), error:      1324.21497, best error:      1146.14648 on epoch:     7, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 60.8345642090s, input_fired_time: 0.8864739537, output_fired_time: 0.7072262764, propagate_forward_time: 21.9149837494, propagate_backward_time: 35.7317390442, weight_update_time: 0.0774351433, other_time: 1.5941429138
epoch time: 4.7670350075s, input_fired_time: 0.1024591774, output_fired_time: 0.0000000000, propagate_forward_time: 4.3812055588, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2833704948
validation[          , genome  6687] predictions:    9620/  10000 (96.20%), best:    9660/10000 (96.60%), error:      1369.64551, best error:      1146.14648 on epoch:     7, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 60.8670387268s, input_fired_time: 0.8872973323, output_fired_time: 0.7081600428, propagate_forward_time: 21.9277496338, propagate_backward_time: 35.7507438660, weight_update_time: 0.0773852319, other_time: 1.5930862427
epoch time: 4.7720623016s, input_fired_time: 0.1032529250, output_fired_time: 0.0000000000, propagate_forward_time: 4.3848299980, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2839794159
validation[          , genome  6687] predictions:    9600/  10000 (96.00%), best:    9660/10000 (96.60%), error:      1410.29480, best error:      1146.14648 on epoch:     7, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 60.8514022827s, input_fired_time: 0.8858826756, output_fired_time: 0.7075579166, propagate_forward_time: 21.9226303101, propagate_backward_time: 35.7426567078, weight_update_time: 0.0774673074, other_time: 1.5926742554
epoch time: 4.7648105621s, input_fired_time: 0.1022946164, output_fired_time: 0.0000000000, propagate_forward_time: 4.3799095154, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2826066017
validation[          , genome  6687] predictions:    9615/  10000 (96.15%), best:    9660/10000 (96.60%), error:      1336.35852, best error:      1146.14648 on epoch:     7, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 60.8399085999s, input_fired_time: 0.8881829381, output_fired_time: 0.7080401182, propagate_forward_time: 21.9142971039, propagate_backward_time: 35.7353248596, weight_update_time: 0.0778675526, other_time: 1.5940666199
epoch time: 4.7671961784s, input_fired_time: 0.1027883217, output_fired_time: 0.0000000000, propagate_forward_time: 4.3803648949, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2840428352
validation[          , genome  6687] predictions:    9605/  10000 (96.05%), best:    9660/10000 (96.60%), error:      1389.54395, best error:      1146.14648 on epoch:     7, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 60.8540306091s, input_fired_time: 0.8897972107, output_fired_time: 0.7074072361, propagate_forward_time: 21.9189968109, propagate_backward_time: 35.7437591553, weight_update_time: 0.0776250288, other_time: 1.5940704346
epoch time: 4.7652750015s, input_fired_time: 0.1030432284, output_fired_time: 0.0000000000, propagate_forward_time: 4.3797025681, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2825293541
validation[          , genome  6687] predictions:    9623/  10000 (96.23%), best:    9660/10000 (96.60%), error:      1351.74841, best error:      1146.14648 on epoch:     7, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 60.8848419189s, input_fired_time: 0.8902062178, output_fired_time: 0.7068673372, propagate_forward_time: 21.9358959198, propagate_backward_time: 35.7595214844, weight_update_time: 0.0774125978, other_time: 1.5923538208
epoch time: 4.7698111534s, input_fired_time: 0.1030223593, output_fired_time: 0.0000000000, propagate_forward_time: 4.3833737373, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2834148407
validation[          , genome  6687] predictions:    9592/  10000 (95.92%), best:    9660/10000 (96.60%), error:      1429.86243, best error:      1146.14648 on epoch:     7, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 60.8702964783s, input_fired_time: 0.8889778852, output_fired_time: 0.7077864408, propagate_forward_time: 21.9316749573, propagate_backward_time: 35.7514648438, weight_update_time: 0.0772028789, other_time: 1.5903930664
epoch time: 4.7710866928s, input_fired_time: 0.1038143337, output_fired_time: 0.0000000000, propagate_forward_time: 4.3836202621, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2836523056
validation[          , genome  6687] predictions:    9596/  10000 (95.96%), best:    9660/10000 (96.60%), error:      1470.48669, best error:      1146.14648 on epoch:     7, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 60.8456001282s, input_fired_time: 0.8896622658, output_fired_time: 0.7083454728, propagate_forward_time: 21.9139499664, propagate_backward_time: 35.7415008545, weight_update_time: 0.0776773840, other_time: 1.5921401978
epoch time: 4.7711958885s, input_fired_time: 0.1043302640, output_fired_time: 0.0000000000, propagate_forward_time: 4.3828334808, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2840323448
validation[          , genome  6687] predictions:    9607/  10000 (96.07%), best:    9660/10000 (96.60%), error:      1381.67395, best error:      1146.14648 on epoch:     7, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 60.8499679565s, input_fired_time: 0.8909549713, output_fired_time: 0.7079935074, propagate_forward_time: 21.9185504913, propagate_backward_time: 35.7389106750, weight_update_time: 0.0774843246, other_time: 1.5935630798
epoch time: 4.7660255432s, input_fired_time: 0.1034766510, output_fired_time: 0.0000000000, propagate_forward_time: 4.3800964355, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2824525833
validation[          , genome  6687] predictions:    9602/  10000 (96.02%), best:    9660/10000 (96.60%), error:      1488.33508, best error:      1146.14648 on epoch:     7, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 60.8709259033s, input_fired_time: 0.8905405998, output_fired_time: 0.7076240778, propagate_forward_time: 21.9276294708, propagate_backward_time: 35.7497253418, weight_update_time: 0.0774395317, other_time: 1.5954055786
epoch time: 4.7685642242s, input_fired_time: 0.1034906730, output_fired_time: 0.0000000000, propagate_forward_time: 4.3812117577, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2838616371
validation[          , genome  6687] predictions:    9614/  10000 (96.14%), best:    9660/10000 (96.60%), error:      1356.94727, best error:      1146.14648 on epoch:     7, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 60.8649978638s, input_fired_time: 0.8919101954, output_fired_time: 0.7073566318, propagate_forward_time: 21.9272232056, propagate_backward_time: 35.7438201904, weight_update_time: 0.0775778517, other_time: 1.5946884155
epoch time: 4.7692127228s, input_fired_time: 0.1043288708, output_fired_time: 0.0000000000, propagate_forward_time: 4.3825383186, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2823452950
validation[          , genome  6687] predictions:    9643/  10000 (96.43%), best:    9660/10000 (96.60%), error:      1280.45276, best error:      1146.14648 on epoch:     7, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 60.8616409302s, input_fired_time: 0.8971607685, output_fired_time: 0.7073123455, propagate_forward_time: 21.9225940704, propagate_backward_time: 35.7405166626, weight_update_time: 0.0773548186, other_time: 1.5940551758
epoch time: 4.7728214264s, input_fired_time: 0.1041167676, output_fired_time: 0.0000000000, propagate_forward_time: 4.3849692345, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2837352753
validation[          , genome  6687] predictions:    9611/  10000 (96.11%), best:    9660/10000 (96.60%), error:      1362.54675, best error:      1146.14648 on epoch:     7, 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: 23.8767127991s, input_fired_time: 0.5113958120, output_fired_time: 0.0000000000, propagate_forward_time: 21.9115734100, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4537429810
best training[          , genome  6687] predictions:   48634/  50000 (97.27%), best:    9660/10000 (96.60%), error:      4804.60840, best error:      1146.14648 on epoch:     7, 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: 4.7718992233s, input_fired_time: 0.1008317024, output_fired_time: 0.0000000000, propagate_forward_time: 4.3820738792, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2889938354
   testing[          , genome  6687] predictions:    9695/  10000 (96.95%), best:    9660/10000 (96.60%), error:      1039.69495, best error:      1146.14648 on epoch:     7, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
13:05:03 (1796): called boinc_finish(0)

</stderr_txt>
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