Nameexact_genome_1512568488_44_4468_1
Workunit2593676
Created7 Dec 2017, 10:09:20 UTC
Sent7 Dec 2017, 10:13:00 UTC
Report deadline13 Dec 2017, 4:17:02 UTC
Received7 Dec 2017, 23:52:35 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time2 hours 11 min 50 sec
CPU time1 hours 53 min 16 sec
Validate stateValid
Credit1,438.20
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size154.95 MB
Peak swap size157.89 MB
Peak disk usage1.96 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
 (97.31%), error:      1129.25562, best error:       924.92834 on epoch:    23, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 77.3081893921s, input_fired_time: 0.7445878983, output_fired_time: 1.3231376410, propagate_forward_time: 26.7459068298, propagate_backward_time: 45.9615936279, weight_update_time: 0.0888114721, other_time: 2.5329627991
epoch time: 5.9655938148s, input_fired_time: 0.0860449523, output_fired_time: 0.0000000000, propagate_forward_time: 5.3157463074, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5638027191
validation[          , genome  4468] predictions:    9595/  10000 (95.95%), best:    9731/10000 (97.31%), error:      1334.14465, best error:       924.92834 on epoch:    23, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 77.4489746094s, input_fired_time: 1.4957158566, output_fired_time: 0.5716596246, propagate_forward_time: 26.6849460602, propagate_backward_time: 46.1695632935, weight_update_time: 0.0884208158, other_time: 2.5270919800
epoch time: 5.9670910835s, input_fired_time: 0.0854940265, output_fired_time: 0.0000000000, propagate_forward_time: 5.5662684441, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3153285980
validation[          , genome  4468] predictions:    9706/  10000 (97.06%), best:    9731/10000 (97.31%), error:      1042.98047, best error:       924.92834 on epoch:    23, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 77.2354660034s, input_fired_time: 1.4968371391, output_fired_time: 0.5757188201, propagate_forward_time: 27.5347328186, propagate_backward_time: 45.6043624878, weight_update_time: 0.0881827250, other_time: 2.0238151550
epoch time: 6.0457720757s, input_fired_time: 0.0867213234, output_fired_time: 0.0000000000, propagate_forward_time: 5.6396398544, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3194108009
validation[          , genome  4468] predictions:    9734/  10000 (97.34%), best:    9734/10000 (97.34%), error:       891.33887, best error:       891.33887 on epoch:    29, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 77.5714797974s, input_fired_time: 0.7548823953, output_fired_time: 0.5777795315, propagate_forward_time: 29.4221229553, propagate_backward_time: 45.0288162231, weight_update_time: 0.0889384151, other_time: 1.7878761292
epoch time: 6.0655889511s, input_fired_time: 0.3382005990, output_fired_time: 0.0000000000, propagate_forward_time: 5.4086260796, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3187623024
validation[          , genome  4468] predictions:    9696/  10000 (96.96%), best:    9734/10000 (97.34%), error:      1070.91687, best error:       891.33887 on epoch:    29, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 77.8755645752s, input_fired_time: 0.9963066578, output_fired_time: 0.5774315596, propagate_forward_time: 27.5686531067, propagate_backward_time: 46.4427490234, weight_update_time: 0.0890756771, other_time: 2.2904243469
epoch time: 5.9450263977s, input_fired_time: 0.0843660757, output_fired_time: 0.0000000000, propagate_forward_time: 5.2948241234, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5658364296
validation[          , genome  4468] predictions:    9669/  10000 (96.69%), best:    9734/10000 (97.34%), error:      1188.87341, best error:       891.33887 on epoch:    29, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 63.8363342285s, input_fired_time: 0.7274731994, output_fired_time: 0.5551787019, propagate_forward_time: 22.7468585968, propagate_backward_time: 37.5512619019, weight_update_time: 0.0863978937, other_time: 2.2555618286
epoch time: 4.2946658134s, input_fired_time: 0.0828335956, output_fired_time: 0.0000000000, propagate_forward_time: 3.9095277786, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3023042679
validation[          , genome  4468] predictions:    9756/  10000 (97.56%), best:    9756/10000 (97.56%), error:       876.99597, best error:       876.99597 on epoch:    32, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 55.6661033630s, input_fired_time: 0.7165179849, output_fired_time: 0.5481963754, propagate_forward_time: 19.6005668640, propagate_backward_time: 33.0941162109, weight_update_time: 0.0846954584, other_time: 1.7067070007
epoch time: 4.3614430428s, input_fired_time: 0.0839974061, output_fired_time: 0.0000000000, propagate_forward_time: 3.9710760117, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3063697815
validation[          , genome  4468] predictions:    9736/  10000 (97.36%), best:    9756/10000 (97.56%), error:       893.84589, best error:       876.99597 on epoch:    32, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 55.3690376282s, input_fired_time: 0.7137947083, output_fired_time: 0.5455210209, propagate_forward_time: 19.4757137299, propagate_backward_time: 32.9390792847, weight_update_time: 0.0840507895, other_time: 1.6949310303
epoch time: 4.3153681755s, input_fired_time: 0.0827015117, output_fired_time: 0.0000000000, propagate_forward_time: 3.9289548397, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3037116528
validation[          , genome  4468] predictions:    9456/  10000 (94.56%), best:    9756/10000 (97.56%), error:      1812.31580, best error:       876.99597 on epoch:    32, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 55.3585090637s, input_fired_time: 0.7157928348, output_fired_time: 0.5451986194, propagate_forward_time: 19.4839992523, propagate_backward_time: 32.9195442200, weight_update_time: 0.0840887129, other_time: 1.6939735413
epoch time: 4.2752037048s, input_fired_time: 0.0822463557, output_fired_time: 0.0000000000, propagate_forward_time: 3.8917965889, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3011608124
validation[          , genome  4468] predictions:    9714/  10000 (97.14%), best:    9756/10000 (97.56%), error:       982.19611, best error:       876.99597 on epoch:    32, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 55.3849067688s, input_fired_time: 0.7160959244, output_fired_time: 0.5463761687, propagate_forward_time: 19.4768276215, propagate_backward_time: 32.9501075745, weight_update_time: 0.0842120796, other_time: 1.6954994202
epoch time: 4.2816238403s, input_fired_time: 0.0836671442, output_fired_time: 0.0000000000, propagate_forward_time: 3.8960602283, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3018963337
validation[          , genome  4468] predictions:    9709/  10000 (97.09%), best:    9756/10000 (97.56%), error:       976.11945, best error:       876.99597 on epoch:    32, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 55.5292816162s, input_fired_time: 0.7178100944, output_fired_time: 0.5462602973, propagate_forward_time: 19.5128326416, propagate_backward_time: 33.0518379211, weight_update_time: 0.0845259801, other_time: 1.7005386353
epoch time: 4.3193917274s, input_fired_time: 0.0828156918, output_fired_time: 0.0000000000, propagate_forward_time: 3.9316322803, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3049438000
validation[          , genome  4468] predictions:    9728/  10000 (97.28%), best:    9756/10000 (97.56%), error:       956.75128, best error:       876.99597 on epoch:    32, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 55.4505386353s, input_fired_time: 0.7163148522, output_fired_time: 0.5464351177, propagate_forward_time: 19.5164661407, propagate_backward_time: 32.9784927368, weight_update_time: 0.0840241536, other_time: 1.6928253174
epoch time: 4.3143072128s, input_fired_time: 0.0839359835, output_fired_time: 0.0000000000, propagate_forward_time: 3.9246404171, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3057305813
validation[          , genome  4468] predictions:    9726/  10000 (97.26%), best:    9756/10000 (97.56%), error:      1018.58966, best error:       876.99597 on epoch:    32, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 56.2607994080s, input_fired_time: 0.7281872034, output_fired_time: 0.5543362498, propagate_forward_time: 19.7793865204, propagate_backward_time: 33.4716300964, weight_update_time: 0.0856036916, other_time: 1.7272605896
epoch time: 4.3371286392s, input_fired_time: 0.0847904980, output_fired_time: 0.0000000000, propagate_forward_time: 3.9453966618, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3069412708
validation[          , genome  4468] predictions:    9709/  10000 (97.09%), best:    9756/10000 (97.56%), error:      1031.43518, best error:       876.99597 on epoch:    32, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 56.1399917603s, input_fired_time: 0.7265196443, output_fired_time: 0.5528067946, propagate_forward_time: 19.7460441589, propagate_backward_time: 33.3951721191, weight_update_time: 0.0854352713, other_time: 1.7194480896
epoch time: 4.4175949097s, input_fired_time: 0.0852016658, output_fired_time: 0.0000000000, propagate_forward_time: 4.0195927620, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3128004074
validation[          , genome  4468] predictions:    9607/  10000 (96.07%), best:    9756/10000 (97.56%), error:      1360.71265, best error:       876.99597 on epoch:    32, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 56.2002639771s, input_fired_time: 0.7272579074, output_fired_time: 0.5541071296, propagate_forward_time: 19.7688655853, propagate_backward_time: 33.4246902466, weight_update_time: 0.0857772902, other_time: 1.7253417969
epoch time: 4.3349399567s, input_fired_time: 0.0842375606, output_fired_time: 0.0000000000, propagate_forward_time: 3.9441537857, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3065485954
validation[          , genome  4468] predictions:    9734/  10000 (97.34%), best:    9756/10000 (97.56%), error:       923.21411, best error:       876.99597 on epoch:    32, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 56.1171569824s, input_fired_time: 0.7272780538, output_fired_time: 0.5530915856, propagate_forward_time: 19.7428874969, propagate_backward_time: 33.3711967468, weight_update_time: 0.0854009390, other_time: 1.7226982117
epoch time: 4.3927145004s, input_fired_time: 0.0854341164, output_fired_time: 0.0000000000, propagate_forward_time: 3.9968361855, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3104443550
validation[          , genome  4468] predictions:    9758/  10000 (97.58%), best:    9758/10000 (97.58%), error:       840.95166, best error:       840.95166 on epoch:    42, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 56.1273002625s, input_fired_time: 0.7285547256, output_fired_time: 0.5532137752, propagate_forward_time: 19.7475318909, propagate_backward_time: 33.3753395081, weight_update_time: 0.0855668262, other_time: 1.7226600647
epoch time: 4.3337407112s, input_fired_time: 0.0840076506, output_fired_time: 0.0000000000, propagate_forward_time: 3.9436864853, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3060464859
validation[          , genome  4468] predictions:    9719/  10000 (97.19%), best:    9758/10000 (97.58%), error:       984.96240, best error:       840.95166 on epoch:    42, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 56.2303276062s, input_fired_time: 0.7323120236, output_fired_time: 0.5530661941, propagate_forward_time: 19.7825069427, propagate_backward_time: 33.4392890930, weight_update_time: 0.0854567885, other_time: 1.7231559753
epoch time: 4.4242420197s, input_fired_time: 0.0867197812, output_fired_time: 0.0000000000, propagate_forward_time: 4.0278320313, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3096899986
validation[          , genome  4468] predictions:    9658/  10000 (96.58%), best:    9758/10000 (97.58%), error:      1228.33582, best error:       840.95166 on epoch:    42, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 56.1265258789s, input_fired_time: 0.7290408015, output_fired_time: 0.5525708199, propagate_forward_time: 19.7463645935, propagate_backward_time: 33.3747749329, weight_update_time: 0.0854649618, other_time: 1.7237739563
epoch time: 4.3362441063s, input_fired_time: 0.0851038247, output_fired_time: 0.0000000000, propagate_forward_time: 3.9454951286, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3056449890
validation[          , genome  4468] predictions:    9725/  10000 (97.25%), best:    9758/10000 (97.58%), error:       950.02203, best error:       840.95166 on epoch:    42, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 56.2613143921s, input_fired_time: 0.7308331728, output_fired_time: 0.5536780953, propagate_forward_time: 19.7988395691, propagate_backward_time: 33.4429512024, weight_update_time: 0.0859651640, other_time: 1.7350120544
epoch time: 4.3572840691s, input_fired_time: 0.0854714662, output_fired_time: 0.0000000000, propagate_forward_time: 3.9626903534, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3091220856
validation[          , genome  4468] predictions:    9744/  10000 (97.44%), best:    9758/10000 (97.58%), error:       923.95703, best error:       840.95166 on epoch:    42, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 56.3224449158s, input_fired_time: 0.7324625254, output_fired_time: 0.5546653867, propagate_forward_time: 19.8290367126, propagate_backward_time: 33.4670448303, weight_update_time: 0.0861070007, other_time: 1.7392349243
epoch time: 4.3364100456s, input_fired_time: 0.0839088410, output_fired_time: 0.0000000000, propagate_forward_time: 3.9455657005, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3069353104
validation[          , genome  4468] predictions:    9739/  10000 (97.39%), best:    9758/10000 (97.58%), error:       945.67700, best error:       840.95166 on epoch:    42, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 56.2562446594s, input_fired_time: 0.7319492102, output_fired_time: 0.5544587970, propagate_forward_time: 19.7769393921, propagate_backward_time: 33.4599456787, weight_update_time: 0.0860255808, other_time: 1.7329521179
epoch time: 4.3826713562s, input_fired_time: 0.0860541463, output_fired_time: 0.0000000000, propagate_forward_time: 3.9885714054, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3080456257
validation[          , genome  4468] predictions:    9662/  10000 (96.62%), best:    9758/10000 (97.58%), error:      1147.95874, best error:       840.95166 on epoch:    42, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 56.2046394348s, input_fired_time: 0.7317996025, output_fired_time: 0.5531083345, propagate_forward_time: 19.7658863068, propagate_backward_time: 33.4177627563, weight_update_time: 0.0862539709, other_time: 1.7360839844
epoch time: 4.3963556290s, input_fired_time: 0.0859865770, output_fired_time: 0.0000000000, propagate_forward_time: 3.9989347458, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3114342690
validation[          , genome  4468] predictions:    9713/  10000 (97.13%), best:    9758/10000 (97.58%), error:      1005.83838, best error:       840.95166 on epoch:    42, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 56.2413024902s, input_fired_time: 0.7335560918, output_fired_time: 0.5537354946, propagate_forward_time: 19.7984466553, propagate_backward_time: 33.4210739136, weight_update_time: 0.0860567838, other_time: 1.7344932556
epoch time: 4.3391509056s, input_fired_time: 0.0847418532, output_fired_time: 0.0000000000, propagate_forward_time: 3.9474866390, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3069221973
validation[          , genome  4468] predictions:    9725/  10000 (97.25%), best:    9758/10000 (97.58%), error:       969.01367, best error:       840.95166 on epoch:    42, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 56.2387084961s, input_fired_time: 0.7320708632, output_fired_time: 0.5546638966, propagate_forward_time: 19.7860755920, propagate_backward_time: 33.4311752319, weight_update_time: 0.0861269832, other_time: 1.7347221375
epoch time: 4.3343753815s, input_fired_time: 0.0851371735, output_fired_time: 0.0000000000, propagate_forward_time: 3.9429264069, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3063116074
validation[          , genome  4468] predictions:    9688/  10000 (96.88%), best:    9758/10000 (97.58%), error:      1060.02185, best error:       840.95166 on epoch:    42, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 56.2702331543s, input_fired_time: 0.7328675389, output_fired_time: 0.5545412898, propagate_forward_time: 19.7856063843, propagate_backward_time: 33.4609680176, weight_update_time: 0.0861587524, other_time: 1.7362480164
epoch time: 4.3344306946s, input_fired_time: 0.0852989331, output_fired_time: 0.0000000000, propagate_forward_time: 3.9431550503, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3059766293
validation[          , genome  4468] predictions:    9748/  10000 (97.48%), best:    9758/10000 (97.58%), error:       888.24902, best error:       840.95166 on epoch:    42, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 56.1564636230s, input_fired_time: 0.7327363491, output_fired_time: 0.5529822707, propagate_forward_time: 19.7481098175, propagate_backward_time: 33.3854598999, weight_update_time: 0.0860266313, other_time: 1.7371749878
epoch time: 4.3376049995s, input_fired_time: 0.0852631256, output_fired_time: 0.0000000000, propagate_forward_time: 3.9452810287, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3070607185
validation[          , genome  4468] predictions:    9723/  10000 (97.23%), best:    9758/10000 (97.58%), error:       973.85315, best error:       840.95166 on epoch:    42, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 56.1434478760s, input_fired_time: 0.7329005003, output_fired_time: 0.5526652932, propagate_forward_time: 19.7480964661, propagate_backward_time: 33.3763771057, weight_update_time: 0.0858822316, other_time: 1.7334098816
epoch time: 4.3371944427s, input_fired_time: 0.0860475153, output_fired_time: 0.0000000000, propagate_forward_time: 3.9436991215, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3074476719
validation[          , genome  4468] predictions:    9707/  10000 (97.07%), best:    9758/10000 (97.58%), error:       964.16931, best error:       840.95166 on epoch:    42, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 56.1981468201s, input_fired_time: 0.7370518446, output_fired_time: 0.5530360937, propagate_forward_time: 19.7756252289, propagate_backward_time: 33.4063568115, weight_update_time: 0.0858361647, other_time: 1.7260742188
epoch time: 4.3348493576s, input_fired_time: 0.0857208297, output_fired_time: 0.0000000000, propagate_forward_time: 3.9432301521, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3058981895
validation[          , genome  4468] predictions:    9708/  10000 (97.08%), best:    9758/10000 (97.58%), error:       954.09497, best error:       840.95166 on epoch:    42, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 56.2108840942s, input_fired_time: 0.7343392372, output_fired_time: 0.5535153151, propagate_forward_time: 19.7817115784, propagate_backward_time: 33.4122161865, weight_update_time: 0.0858935118, other_time: 1.7290992737
epoch time: 4.3358397484s, input_fired_time: 0.0858467594, output_fired_time: 0.0000000000, propagate_forward_time: 3.9436266422, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3063662052
validation[          , genome  4468] predictions:    9729/  10000 (97.29%), best:    9758/10000 (97.58%), error:       924.99561, best error:       840.95166 on epoch:    42, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 56.2312965393s, input_fired_time: 0.7364344597, output_fired_time: 0.5533668399, propagate_forward_time: 19.7724571228, propagate_backward_time: 33.4431991577, weight_update_time: 0.0858883783, other_time: 1.7258377075
epoch time: 4.3590178490s, input_fired_time: 0.0858734399, output_fired_time: 0.0000000000, propagate_forward_time: 3.9644691944, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3086750507
validation[          , genome  4468] predictions:    9698/  10000 (96.98%), best:    9758/10000 (97.58%), error:      1011.51459, best error:       840.95166 on epoch:    42, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 56.3292655945s, input_fired_time: 0.7342616320, output_fired_time: 0.5549679995, propagate_forward_time: 19.8505172729, propagate_backward_time: 33.4570541382, weight_update_time: 0.0859288499, other_time: 1.7324638367
epoch time: 4.3690342903s, input_fired_time: 0.0849210545, output_fired_time: 0.0000000000, propagate_forward_time: 3.9760081768, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3081052303
validation[          , genome  4468] predictions:    9629/  10000 (96.29%), best:    9758/10000 (97.58%), error:      1183.94568, best error:       840.95166 on epoch:    42, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 56.1737861633s, input_fired_time: 0.7344290018, output_fired_time: 0.5530007482, propagate_forward_time: 19.7791481018, propagate_backward_time: 33.3786315918, weight_update_time: 0.0859257728, other_time: 1.7285766602
epoch time: 4.3610854149s, input_fired_time: 0.0855682567, output_fired_time: 0.0000000000, propagate_forward_time: 3.9669775963, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3085393906
validation[          , genome  4468] predictions:    9742/  10000 (97.42%), best:    9758/10000 (97.58%), error:       878.08105, best error:       840.95166 on epoch:    42, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 56.2736701965s, input_fired_time: 0.7350260019, output_fired_time: 0.5534116030, propagate_forward_time: 19.8144397736, propagate_backward_time: 33.4402732849, weight_update_time: 0.0857322142, other_time: 1.7305183411
epoch time: 4.3364934921s, input_fired_time: 0.0852794871, output_fired_time: 0.0000000000, propagate_forward_time: 3.9448299408, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3063840866
validation[          , genome  4468] predictions:    9724/  10000 (97.24%), best:    9758/10000 (97.58%), error:       978.37823, best error:       840.95166 on epoch:    42, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 56.2026214600s, input_fired_time: 0.7350869179, output_fired_time: 0.5532581210, propagate_forward_time: 19.7733802795, propagate_backward_time: 33.4040412903, weight_update_time: 0.0858418196, other_time: 1.7368545532
epoch time: 4.3393054008s, input_fired_time: 0.0856066868, output_fired_time: 0.0000000000, propagate_forward_time: 3.9471321106, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3065667152
validation[          , genome  4468] predictions:    9752/  10000 (97.52%), best:    9758/10000 (97.58%), error:       866.31177, best error:       840.95166 on epoch:    42, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 56.3778190613s, input_fired_time: 0.7369324565, output_fired_time: 0.5550113320, propagate_forward_time: 19.8225803375, propagate_backward_time: 33.5255279541, weight_update_time: 0.0859713480, other_time: 1.7377700806
epoch time: 4.3454089165s, input_fired_time: 0.0854233876, output_fired_time: 0.0000000000, propagate_forward_time: 3.9533143044, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3066711426
validation[          , genome  4468] predictions:    9763/  10000 (97.63%), best:    9763/10000 (97.63%), error:       823.09857, best error:       823.09857 on epoch:    62, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 56.2661743164s, input_fired_time: 0.7365961671, output_fired_time: 0.5542194247, propagate_forward_time: 19.7867469788, propagate_backward_time: 33.4474868774, weight_update_time: 0.0862437412, other_time: 1.7411270142
epoch time: 4.3391523361s, input_fired_time: 0.0868078172, output_fired_time: 0.0000000000, propagate_forward_time: 3.9452836514, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3070609570
validation[          , genome  4468] predictions:    9738/  10000 (97.38%), best:    9763/10000 (97.63%), error:       901.55212, best error:       823.09857 on epoch:    62, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 56.1498527527s, input_fired_time: 0.7356452942, output_fired_time: 0.5524897575, propagate_forward_time: 19.7517242432, propagate_backward_time: 33.3727416992, weight_update_time: 0.0860624462, other_time: 1.7372512817
epoch time: 4.3376255035s, input_fired_time: 0.0863183513, output_fired_time: 0.0000000000, propagate_forward_time: 3.9442217350, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3070852757
validation[          , genome  4468] predictions:    9712/  10000 (97.12%), best:    9763/10000 (97.63%), error:      1034.71631, best error:       823.09857 on epoch:    62, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 56.2408561707s, input_fired_time: 0.7364583611, output_fired_time: 0.5537113547, propagate_forward_time: 19.7824096680, propagate_backward_time: 33.4297561646, weight_update_time: 0.0861213282, other_time: 1.7385215759
epoch time: 4.3621559143s, input_fired_time: 0.0863941461, output_fired_time: 0.0000000000, propagate_forward_time: 3.9677951336, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3079664707
validation[          , genome  4468] predictions:    9739/  10000 (97.39%), best:    9763/10000 (97.63%), error:       909.89728, best error:       823.09857 on epoch:    62, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 56.1921958923s, input_fired_time: 0.7357286215, output_fired_time: 0.5532854199, propagate_forward_time: 19.7650890350, propagate_backward_time: 33.4007110596, weight_update_time: 0.0860793591, other_time: 1.7373809814
epoch time: 4.3407087326s, input_fired_time: 0.0871831402, output_fired_time: 0.0000000000, propagate_forward_time: 3.9462838173, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3072419167
validation[          , genome  4468] predictions:    9738/  10000 (97.38%), best:    9763/10000 (97.63%), error:       922.89014, best error:       823.09857 on epoch:    62, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 56.1866569519s, input_fired_time: 0.7389576435, output_fired_time: 0.5535825491, propagate_forward_time: 19.7649440765, propagate_backward_time: 33.3946380615, weight_update_time: 0.0860368535, other_time: 1.7345352173
epoch time: 4.3345804214s, input_fired_time: 0.0855907872, output_fired_time: 0.0000000000, propagate_forward_time: 3.9432964325, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3056931496
validation[          , genome  4468] predictions:    9728/  10000 (97.28%), best:    9763/10000 (97.63%), error:       903.89514, best error:       823.09857 on epoch:    62, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 56.2411499023s, input_fired_time: 0.7380074263, output_fired_time: 0.5535546541, propagate_forward_time: 19.7902889252, propagate_backward_time: 33.4303894043, weight_update_time: 0.0857440010, other_time: 1.7289123535
epoch time: 4.3342514038s, input_fired_time: 0.0862338543, output_fired_time: 0.0000000000, propagate_forward_time: 3.9421401024, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3058772087
validation[          , genome  4468] predictions:    9730/  10000 (97.30%), best:    9763/10000 (97.63%), error:       952.43451, best error:       823.09857 on epoch:    62, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 56.2150001526s, input_fired_time: 0.7415409088, output_fired_time: 0.5536386371, propagate_forward_time: 19.7690639496, propagate_backward_time: 33.4193191528, weight_update_time: 0.0857742280, other_time: 1.7314376831
epoch time: 4.3340573311s, input_fired_time: 0.0859036073, output_fired_time: 0.0000000000, propagate_forward_time: 3.9427442551, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3054094315
validation[          , genome  4468] predictions:    9725/  10000 (97.25%), best:    9763/10000 (97.63%), error:       924.35553, best error:       823.09857 on epoch:    62, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 56.2064514160s, input_fired_time: 0.7384520173, output_fired_time: 0.5535035729, propagate_forward_time: 19.7594451904, propagate_backward_time: 33.4233779907, weight_update_time: 0.0857127756, other_time: 1.7316703796
epoch time: 4.3388724327s, input_fired_time: 0.0861422196, output_fired_time: 0.0000000000, propagate_forward_time: 3.9457938671, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3069365025
validation[          , genome  4468] predictions:    9363/  10000 (93.63%), best:    9763/10000 (97.63%), error:      2097.24707, best error:       823.09857 on epoch:    62, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

resetting weights to those on epoch: 62
epoch time: 56.1866340637s, input_fired_time: 0.7364615202, output_fired_time: 0.5534319878, propagate_forward_time: 19.7639007568, propagate_backward_time: 33.4016304016, weight_update_time: 0.0856743306, other_time: 1.7312088013
epoch time: 4.3355722427s, input_fired_time: 0.0862256736, output_fired_time: 0.0000000000, propagate_forward_time: 3.9436683655, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3056783676
validation[          , genome  4468] predictions:    9748/  10000 (97.48%), best:    9763/10000 (97.63%), error:       899.86151, best error:       823.09857 on epoch:    62, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 56.1530380249s, input_fired_time: 0.7405899167, output_fired_time: 0.5527004600, propagate_forward_time: 19.7434234619, propagate_backward_time: 33.3856887817, weight_update_time: 0.0856810212, other_time: 1.7306365967
epoch time: 4.3360953331s, input_fired_time: 0.0865257382, output_fired_time: 0.0000000000, propagate_forward_time: 3.9439680576, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3056013584
validation[          , genome  4468] predictions:    9712/  10000 (97.12%), best:    9763/10000 (97.63%), error:       975.89191, best error:       823.09857 on epoch:    62, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 68.6044464111s, input_fired_time: 0.7412309051, output_fired_time: 0.8044384122, propagate_forward_time: 24.5332202911, propagate_backward_time: 40.5329513550, weight_update_time: 0.0863788798, other_time: 1.9926071167
epoch time: 5.8714642525s, input_fired_time: 0.0871432051, output_fired_time: 0.0000000000, propagate_forward_time: 5.2265338898, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5577869415
validation[          , genome  4468] predictions:    9736/  10000 (97.36%), best:    9763/10000 (97.63%), error:       914.62604, best error:       823.09857 on epoch:    62, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 75.4925842285s, input_fired_time: 0.9980621338, output_fired_time: 0.5609844327, propagate_forward_time: 26.9529724121, propagate_backward_time: 44.7233619690, weight_update_time: 0.0870045498, other_time: 2.2572059631
epoch time: 5.9019222260s, input_fired_time: 0.0870710239, output_fired_time: 0.0000000000, propagate_forward_time: 5.2547154427, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5601358414
validation[          , genome  4468] predictions:    9723/  10000 (97.23%), best:    9763/10000 (97.63%), error:       959.58087, best error:       823.09857 on epoch:    62, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 75.3019027710s, input_fired_time: 1.4940780401, output_fired_time: 0.5560517907, propagate_forward_time: 26.6416568756, propagate_backward_time: 44.1073951721, weight_update_time: 0.3368491828, other_time: 2.5027198792
epoch time: 5.8885450363s, input_fired_time: 0.0878794864, output_fired_time: 0.0000000000, propagate_forward_time: 5.4903330803, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3103322983
validation[          , genome  4468] predictions:    9753/  10000 (97.53%), best:    9763/10000 (97.63%), error:       864.79950, best error:       823.09857 on epoch:    62, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4468.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4468_1_r197962985_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: 0.980065
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000253457
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.01383e-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: 76
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 62
read number_validation_images: 10000
read best_validation_predictions: 9763
read best_validation_error: 823.099
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: 4468
read normal distribution: '1 0 0'
generator_str: '1219276674'
read generator: 1219276674
read generated_by_map:
1 crossover 1
reading 22 nodes.
reading 50 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: 96.2903747558594s, input_fired_time: 0.854121565818787, output_fired_time: 0.694499492645264, propagate_forward_time: 34.9256248474121, propagate_backward_time: 57.1443061828613, weight_update_time: 0.107743740081787, other_time: 2.67182922363281
epoch time: 5.6116189956665s, input_fired_time: 0.0870476141571999, output_fired_time: 0, propagate_forward_time: 5.20137691497803, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.32319450378418
validation[          , genome  4468] predictions:    9730/  10000 (97.30%), best:    9763/10000 (97.63%), error:       936.37195, best error:       823.09857 on epoch:    62, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 92.1113662720s, input_fired_time: 0.8265026212, output_fired_time: 0.6629511118, propagate_forward_time: 34.3843612671, propagate_backward_time: 53.4026908875, weight_update_time: 0.1033987924, other_time: 2.8348655701
epoch time: 7.5401988029s, input_fired_time: 0.1033787206, output_fired_time: 0.0000000000, propagate_forward_time: 6.8021011353, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6347188950
validation[          , genome  4468] predictions:    9726/  10000 (97.26%), best:    9763/10000 (97.63%), error:       911.47150, best error:       823.09857 on epoch:    62, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 100.0173950195s, input_fired_time: 1.1179952621, output_fired_time: 0.7150657773, propagate_forward_time: 35.2898521423, propagate_backward_time: 59.4366798401, weight_update_time: 0.1102039367, other_time: 3.4578018188
epoch time: 9.0867223740s, input_fired_time: 0.1169014797, output_fired_time: 0.0000000000, propagate_forward_time: 8.2872686386, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6825523376
validation[          , genome  4468] predictions:    9582/  10000 (95.82%), best:    9763/10000 (97.63%), error:      1325.83313, best error:       823.09857 on epoch:    62, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 97.1813964844s, input_fired_time: 0.8523585796, output_fired_time: 1.1965670586, propagate_forward_time: 36.9711647034, propagate_backward_time: 54.9923667908, weight_update_time: 0.1078097820, other_time: 3.1689453125
epoch time: 9.8660478592s, input_fired_time: 0.1228566393, output_fired_time: 0.0000000000, propagate_forward_time: 9.2884378433, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4547529221
validation[          , genome  4468] predictions:    9754/  10000 (97.54%), best:    9763/10000 (97.63%), error:       870.59192, best error:       823.09857 on epoch:    62, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 96.9848556519s, input_fired_time: 0.8520899415, output_fired_time: 0.6953712702, propagate_forward_time: 34.8742561340, propagate_backward_time: 57.4040870667, weight_update_time: 0.1075983122, other_time: 3.1590499878
epoch time: 7.0216379166s, input_fired_time: 0.0977476388, output_fired_time: 0.0000000000, propagate_forward_time: 6.5611619949, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3627281189
validation[          , genome  4468] predictions:    9709/  10000 (97.09%), best:    9763/10000 (97.63%), error:      1023.64520, best error:       823.09857 on epoch:    62, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 97.8507690430s, input_fired_time: 1.6111805439, output_fired_time: 0.7020297647, propagate_forward_time: 33.3803863525, propagate_backward_time: 59.4769935608, weight_update_time: 0.1081072092, other_time: 2.6801795959
epoch time: 8.0898532867s, input_fired_time: 0.1090661511, output_fired_time: 0.0000000000, propagate_forward_time: 7.0754518509, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9053354263
validation[          , genome  4468] predictions:    9683/  10000 (96.83%), best:    9763/10000 (97.63%), error:      1015.05438, best error:       823.09857 on epoch:    62, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 98.4372024536s, input_fired_time: 1.1131966114, output_fired_time: 1.7041256428, propagate_forward_time: 34.5151748657, propagate_backward_time: 58.4115371704, weight_update_time: 0.1086023673, other_time: 2.6931686401
epoch time: 9.1800546646s, input_fired_time: 0.1185885072, output_fired_time: 0.0000000000, propagate_forward_time: 7.8758907318, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1855754852
validation[          , genome  4468] predictions:    9731/  10000 (97.31%), best:    9763/10000 (97.63%), error:       961.11401, best error:       823.09857 on epoch:    62, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 109.2120666504s, input_fired_time: 1.1652883291, output_fired_time: 0.7710670233, propagate_forward_time: 39.8518905640, propagate_backward_time: 64.0814819336, weight_update_time: 0.1188199446, other_time: 3.3423385620
epoch time: 8.8862571716s, input_fired_time: 0.1148354709, output_fired_time: 0.0000000000, propagate_forward_time: 8.3475685120, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4238529205
validation[          , genome  4468] predictions:    9737/  10000 (97.37%), best:    9763/10000 (97.63%), error:       888.47931, best error:       823.09857 on epoch:    62, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 110.6234359741s, input_fired_time: 1.4212572575, output_fired_time: 1.2810999155, propagate_forward_time: 41.6942062378, propagate_backward_time: 63.6198348999, weight_update_time: 0.1198316962, other_time: 2.6070404053
epoch time: 9.3049964905s, input_fired_time: 0.1198424622, output_fired_time: 0.0000000000, propagate_forward_time: 8.7440137863, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4411401749
validation[          , genome  4468] predictions:    9751/  10000 (97.51%), best:    9763/10000 (97.63%), error:       863.48090, best error:       823.09857 on epoch:    62, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 97.7119445801s, input_fired_time: 1.3594527245, output_fired_time: 0.9478688240, propagate_forward_time: 35.8281669617, propagate_backward_time: 57.1607322693, weight_update_time: 0.1084313393, other_time: 2.4157257080
epoch time: 6.8997321129s, input_fired_time: 0.0966355056, output_fired_time: 0.0000000000, propagate_forward_time: 6.4473404884, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3557562828
validation[          , genome  4468] predictions:    9739/  10000 (97.39%), best:    9763/10000 (97.63%), error:       888.75525, best error:       823.09857 on epoch:    62, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 99.8541793823s, input_fired_time: 1.1190983057, output_fired_time: 0.9618228078, propagate_forward_time: 36.5071487427, propagate_backward_time: 59.0725860596, weight_update_time: 0.1100676581, other_time: 2.1935272217
epoch time: 6.1595482826s, input_fired_time: 0.0910351574, output_fired_time: 0.0000000000, propagate_forward_time: 5.7332286835, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3352842331
validation[          , genome  4468] predictions:    9740/  10000 (97.40%), best:    9763/10000 (97.63%), error:       882.69159, best error:       823.09857 on epoch:    62, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 99.5361099243s, input_fired_time: 0.8683689237, output_fired_time: 0.7102556229, propagate_forward_time: 36.6346435547, propagate_backward_time: 58.8828277588, weight_update_time: 0.1096612364, other_time: 2.4400100708
epoch time: 7.2700686455s, input_fired_time: 0.1016563252, output_fired_time: 0.0000000000, propagate_forward_time: 6.7943806648, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3740315437
validation[          , genome  4468] predictions:    9686/  10000 (96.86%), best:    9763/10000 (97.63%), error:      1088.22009, best error:       823.09857 on epoch:    62, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 97.2145538330s, input_fired_time: 1.3595809937, output_fired_time: 1.1965036392, propagate_forward_time: 35.7135925293, propagate_backward_time: 56.0328025818, weight_update_time: 0.1077959761, other_time: 2.9120750427
epoch time: 6.8345003128s, input_fired_time: 0.0965515748, output_fired_time: 0.0000000000, propagate_forward_time: 6.3834743500, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3544745445
validation[          , genome  4468] predictions:    9718/  10000 (97.18%), best:    9763/10000 (97.63%), error:       968.60999, best error:       823.09857 on epoch:    62, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 100.5421676636s, input_fired_time: 1.1252298355, output_fired_time: 0.9651551247, propagate_forward_time: 35.9530715942, propagate_backward_time: 59.7887992859, weight_update_time: 0.3608219624, other_time: 2.7099113464
epoch time: 6.4243569374s, input_fired_time: 0.0945905522, output_fired_time: 0.0000000000, propagate_forward_time: 5.7308368683, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5989294052
validation[          , genome  4468] predictions:    9730/  10000 (97.30%), best:    9763/10000 (97.63%), error:       927.13605, best error:       823.09857 on epoch:    62, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 94.9210128784s, input_fired_time: 1.0963690281, output_fired_time: 0.6805242300, propagate_forward_time: 34.0073509216, propagate_backward_time: 56.0108032227, weight_update_time: 0.1057376415, other_time: 3.1259651184
epoch time: 7.5066442490s, input_fired_time: 0.1022737250, output_fired_time: 0.0000000000, propagate_forward_time: 7.0320005417, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3723697662
validation[          , genome  4468] predictions:    9713/  10000 (97.13%), best:    9763/10000 (97.63%), error:       998.59125, best error:       823.09857 on epoch:    62, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4468.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4468_1_r197962985_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.985397
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000117424
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.69697e-06
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 91
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 62
read number_validation_images: 10000
read best_validation_predictions: 9763
read best_validation_error: 823.099
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: 4468
read normal distribution: '1 0 0'
generator_str: '1678607163'
read generator: 1678607163
read generated_by_map:
1 crossover 1
reading 22 nodes.
reading 50 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: 102.443458557129s, input_fired_time: 1.20852029323578, output_fired_time: 0.917702913284302, propagate_forward_time: 37.492488861084, propagate_backward_time: 59.8569793701172, weight_update_time: 0.175615608692169, other_time: 2.96776962280273
epoch time: 8.73419570922852s, input_fired_time: 0.123464174568653, output_fired_time: 0, propagate_forward_time: 8.10013103485107, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.510600090026855
validation[          , genome  4468] predictions:    9692/  10000 (96.92%), best:    9763/10000 (97.63%), error:      1048.05396, best error:       823.09857 on epoch:    62, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 101.1586456299s, input_fired_time: 1.1467385292, output_fired_time: 0.9822160006, propagate_forward_time: 37.6771240234, propagate_backward_time: 58.6741142273, weight_update_time: 0.1307438761, other_time: 2.6784553528
epoch time: 8.0628509521s, input_fired_time: 0.1407235861, output_fired_time: 0.0000000000, propagate_forward_time: 7.4558577538, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4662694931
validation[          , genome  4468] predictions:    9726/  10000 (97.26%), best:    9763/10000 (97.63%), error:       955.05627, best error:       823.09857 on epoch:    62, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 103.7626800537s, input_fired_time: 1.1120285988, output_fired_time: 0.9949588776, propagate_forward_time: 38.3971443176, propagate_backward_time: 60.3372497559, weight_update_time: 0.1929965913, other_time: 2.9212989807
epoch time: 8.0966815948s, input_fired_time: 0.1169206873, output_fired_time: 0.0000000000, propagate_forward_time: 7.4479265213, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5318346024
validation[          , genome  4468] predictions:    9464/  10000 (94.64%), best:    9763/10000 (97.63%), error:      1749.99377, best error:       823.09857 on epoch:    62, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 101.9935607910s, input_fired_time: 1.0776982307, output_fired_time: 1.0973489285, propagate_forward_time: 38.0224342346, propagate_backward_time: 59.0226097107, weight_update_time: 0.1773598641, other_time: 2.7734680176
epoch time: 8.9727525711s, input_fired_time: 0.1557828188, output_fired_time: 0.0000000000, propagate_forward_time: 8.1470375061, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6699323654
validation[          , genome  4468] predictions:    9705/  10000 (97.05%), best:    9763/10000 (97.63%), error:       991.58228, best error:       823.09857 on epoch:    62, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 98.7630233765s, input_fired_time: 1.1236134768, output_fired_time: 0.9437582493, propagate_forward_time: 36.4971199036, propagate_backward_time: 57.4230842590, weight_update_time: 0.1456454545, other_time: 2.7754516602
epoch time: 8.1759710312s, input_fired_time: 0.1516641527, output_fired_time: 0.0000000000, propagate_forward_time: 7.4932436943, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5310635567
validation[          , genome  4468] predictions:    9693/  10000 (96.93%), best:    9763/10000 (97.63%), error:      1007.41394, best error:       823.09857 on epoch:    62, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 102.5413589478s, input_fired_time: 1.1157716513, output_fired_time: 0.9306848049, propagate_forward_time: 38.4637603760, propagate_backward_time: 59.2327651978, weight_update_time: 0.1640243083, other_time: 2.7983779907
epoch time: 8.6322765350s, input_fired_time: 0.1703254730, output_fired_time: 0.0000000000, propagate_forward_time: 7.8756370544, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5863142014
validation[          , genome  4468] predictions:    9745/  10000 (97.45%), best:    9763/10000 (97.63%), error:       897.40112, best error:       823.09857 on epoch:    62, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 107.8918685913s, input_fired_time: 1.1448110342, output_fired_time: 1.1275305748, propagate_forward_time: 39.9853553772, propagate_backward_time: 62.5089035034, weight_update_time: 0.1650652736, other_time: 3.1252670288
epoch time: 7.8805136681s, input_fired_time: 0.1579639614, output_fired_time: 0.0000000000, propagate_forward_time: 7.2523307800, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4702191353
validation[          , genome  4468] predictions:    9743/  10000 (97.43%), best:    9763/10000 (97.63%), error:       892.90027, best error:       823.09857 on epoch:    62, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 102.4333648682s, input_fired_time: 1.1137115955, output_fired_time: 0.9348043799, propagate_forward_time: 38.3208084106, propagate_backward_time: 59.2746009827, weight_update_time: 0.1333484054, other_time: 2.7894401550
epoch time: 9.9271564484s, input_fired_time: 0.1582608670, output_fired_time: 0.0000000000, propagate_forward_time: 9.0941200256, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6747751236
validation[          , genome  4468] predictions:    9673/  10000 (96.73%), best:    9763/10000 (97.63%), error:      1076.36841, best error:       823.09857 on epoch:    62, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 105.1207275391s, input_fired_time: 1.1151401997, output_fired_time: 1.0354539156, propagate_forward_time: 39.2940750122, propagate_backward_time: 60.7671699524, weight_update_time: 0.1335808635, other_time: 2.9088859558
epoch time: 7.8645377159s, input_fired_time: 0.1306646019, output_fired_time: 0.0000000000, propagate_forward_time: 7.2661347389, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4677381516
validation[          , genome  4468] predictions:    9697/  10000 (96.97%), best:    9763/10000 (97.63%), error:      1002.07446, best error:       823.09857 on epoch:    62, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 100.3364486694s, input_fired_time: 1.1921706200, output_fired_time: 0.9224877954, propagate_forward_time: 37.3805847168, propagate_backward_time: 58.1133880615, weight_update_time: 0.1645539403, other_time: 2.7278213501
epoch time: 8.3231801987s, input_fired_time: 0.1390789300, output_fired_time: 0.0000000000, propagate_forward_time: 7.6950187683, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4890823364
validation[          , genome  4468] predictions:    9464/  10000 (94.64%), best:    9763/10000 (97.63%), error:      1877.08838, best error:       823.09857 on epoch:    62, 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: 41.1959800720s, input_fired_time: 0.6733035445, output_fired_time: 0.0000000000, propagate_forward_time: 37.9964981079, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5261802673
best training[          , genome  4468] predictions:   49485/  50000 (98.97%), best:    9763/10000 (97.63%), error:      1878.30029, best error:       823.09857 on epoch:    62, 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: 7.2521276474s, input_fired_time: 0.1196557805, output_fired_time: 0.0000000000, propagate_forward_time: 6.6878671646, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4446048737
   testing[          , genome  4468] predictions:    9770/  10000 (97.70%), best:    9763/10000 (97.63%), error:       787.31061, best error:       823.09857 on epoch:    62, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
23:52:47 (11096): called boinc_finish(0)

</stderr_txt>
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