Nameexact_genome_1512568488_43_4479_1
Workunit2593665
Created7 Dec 2017, 10:09:20 UTC
Sent7 Dec 2017, 10:12:37 UTC
Report deadline14 Dec 2017, 21:34:36 UTC
Received7 Dec 2017, 23:52:35 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time2 hours 57 min 29 sec
CPU time2 hours 30 min 35 sec
Validate stateValid
Credit1,868.40
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size155.86 MB
Peak swap size158.81 MB
Peak disk usage1.96 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
    1152.11633 on epoch:    24, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 71.8442764282s, input_fired_time: 0.8347408175, output_fired_time: 0.6373360157, propagate_forward_time: 25.6439933777, propagate_backward_time: 42.9239578247, weight_update_time: 0.0839402303, other_time: 1.8042488098
epoch time: 5.5983619690s, input_fired_time: 0.0976737440, output_fired_time: 0.0000000000, propagate_forward_time: 5.1741657257, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3265223503
validation[          , genome  4479] predictions:    9657/  10000 (96.57%), best:    9657/10000 (96.57%), error:      1189.11060, best error:      1152.11633 on epoch:    24, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 71.8165817261s, input_fired_time: 0.8372410536, output_fired_time: 0.6369113326, propagate_forward_time: 25.6278190613, propagate_backward_time: 42.9090461731, weight_update_time: 0.0840789750, other_time: 1.8055648804
epoch time: 5.5571727753s, input_fired_time: 0.0974899530, output_fired_time: 0.0000000000, propagate_forward_time: 5.1342453957, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3254375458
validation[          , genome  4479] predictions:    9617/  10000 (96.17%), best:    9657/10000 (96.57%), error:      1273.19556, best error:      1152.11633 on epoch:    24, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 71.8403778076s, input_fired_time: 0.8390074372, output_fired_time: 0.6368830204, propagate_forward_time: 25.6211414337, propagate_backward_time: 42.9408760071, weight_update_time: 0.0838234648, other_time: 1.8024711609
epoch time: 5.5425062180s, input_fired_time: 0.0968141332, output_fired_time: 0.0000000000, propagate_forward_time: 5.1208791733, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3248128891
validation[          , genome  4479] predictions:    9702/  10000 (97.02%), best:    9702/10000 (97.02%), error:      1100.42285, best error:      1100.42285 on epoch:    29, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 71.8078002930s, input_fired_time: 0.8372869492, output_fired_time: 0.6367852092, propagate_forward_time: 25.6216259003, propagate_backward_time: 42.9115028381, weight_update_time: 0.0838792995, other_time: 1.8005943298
epoch time: 5.5413784981s, input_fired_time: 0.0968110189, output_fired_time: 0.0000000000, propagate_forward_time: 5.1199483871, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3246192932
validation[          , genome  4479] predictions:    9632/  10000 (96.32%), best:    9702/10000 (97.02%), error:      1218.84705, best error:      1100.42285 on epoch:    29, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 71.8432388306s, input_fired_time: 0.8369601369, output_fired_time: 0.6370210648, propagate_forward_time: 25.6411457062, propagate_backward_time: 42.9247398376, weight_update_time: 0.0840108693, other_time: 1.8033714294
epoch time: 5.5409173965s, input_fired_time: 0.0972037315, output_fired_time: 0.0000000000, propagate_forward_time: 5.1201663017, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3235473633
validation[          , genome  4479] predictions:    9639/  10000 (96.39%), best:    9702/10000 (97.02%), error:      1237.52661, best error:      1100.42285 on epoch:    29, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 71.8290405273s, input_fired_time: 0.8366296291, output_fired_time: 0.6366880536, propagate_forward_time: 25.6212730408, propagate_backward_time: 42.9332313538, weight_update_time: 0.0838158131, other_time: 1.8012161255
epoch time: 5.5406599045s, input_fired_time: 0.0978816673, output_fired_time: 0.0000000000, propagate_forward_time: 5.1186633110, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3241147995
validation[          , genome  4479] predictions:    9614/  10000 (96.14%), best:    9702/10000 (97.02%), error:      1292.55481, best error:      1100.42285 on epoch:    29, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 71.8468856812s, input_fired_time: 0.8369286656, output_fired_time: 0.6367801428, propagate_forward_time: 25.6316738129, propagate_backward_time: 42.9336471558, weight_update_time: 0.0842279196, other_time: 1.8078536987
epoch time: 5.5488457680s, input_fired_time: 0.0969400257, output_fired_time: 0.0000000000, propagate_forward_time: 5.1238765717, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3280291557
validation[          , genome  4479] predictions:    9690/  10000 (96.90%), best:    9702/10000 (97.02%), error:      1114.78003, best error:      1100.42285 on epoch:    29, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 71.8725204468s, input_fired_time: 0.8369931579, output_fired_time: 0.6368266940, propagate_forward_time: 25.6386909485, propagate_backward_time: 42.9278411865, weight_update_time: 0.0851879567, other_time: 1.8321723938
epoch time: 5.5713648796s, input_fired_time: 0.0972073004, output_fired_time: 0.0000000000, propagate_forward_time: 5.1457982063, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3283596039
validation[          , genome  4479] predictions:    9623/  10000 (96.23%), best:    9702/10000 (97.02%), error:      1263.00562, best error:      1100.42285 on epoch:    29, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 71.9548797607s, input_fired_time: 0.8401724696, output_fired_time: 0.6380023360, propagate_forward_time: 25.6712799072, propagate_backward_time: 42.9619522095, weight_update_time: 0.0852913857, other_time: 1.8434753418
epoch time: 5.5494866371s, input_fired_time: 0.0981017426, output_fired_time: 0.0000000000, propagate_forward_time: 5.1227335930, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3286514282
validation[          , genome  4479] predictions:    9607/  10000 (96.07%), best:    9702/10000 (97.02%), error:      1292.58069, best error:      1100.42285 on epoch:    29, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 71.9159469604s, input_fired_time: 0.8402900100, output_fired_time: 0.6378916502, propagate_forward_time: 25.6577987671, propagate_backward_time: 42.9379692078, weight_update_time: 0.0854629204, other_time: 1.8419990540
epoch time: 5.5509691238s, input_fired_time: 0.0971146077, output_fired_time: 0.0000000000, propagate_forward_time: 5.1252284050, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3286261559
validation[          , genome  4479] predictions:    9661/  10000 (96.61%), best:    9702/10000 (97.02%), error:      1163.47632, best error:      1100.42285 on epoch:    29, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 71.9560775757s, input_fired_time: 0.8420042396, output_fired_time: 0.6378138661, propagate_forward_time: 25.6753768921, propagate_backward_time: 42.9581375122, weight_update_time: 0.0855683908, other_time: 1.8427429199
epoch time: 5.5483994484s, input_fired_time: 0.0976511836, output_fired_time: 0.0000000000, propagate_forward_time: 5.1221933365, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3285551071
validation[          , genome  4479] predictions:    9653/  10000 (96.53%), best:    9702/10000 (97.02%), error:      1140.21594, best error:      1100.42285 on epoch:    29, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 71.8939132690s, input_fired_time: 0.8377870321, output_fired_time: 0.6374717355, propagate_forward_time: 25.6513710022, propagate_backward_time: 42.9340095520, weight_update_time: 0.0852806568, other_time: 1.8332748413
epoch time: 5.5620679855s, input_fired_time: 0.0967547074, output_fired_time: 0.0000000000, propagate_forward_time: 5.1373944283, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3279190063
validation[          , genome  4479] predictions:    9642/  10000 (96.42%), best:    9702/10000 (97.02%), error:      1182.14038, best error:      1100.42285 on epoch:    29, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 71.9554672241s, input_fired_time: 0.8364337683, output_fired_time: 0.6381950974, propagate_forward_time: 25.6860618591, propagate_backward_time: 42.9575500488, weight_update_time: 0.0854506046, other_time: 1.8372230530
epoch time: 5.5490512848s, input_fired_time: 0.0969226211, output_fired_time: 0.0000000000, propagate_forward_time: 5.1243214607, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3278074265
validation[          , genome  4479] predictions:    9665/  10000 (96.65%), best:    9702/10000 (97.02%), error:      1150.82092, best error:      1100.42285 on epoch:    29, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 74.5222167969s, input_fired_time: 0.8405909538, output_fired_time: 0.6373901963, propagate_forward_time: 26.7069149017, propagate_backward_time: 44.5050354004, weight_update_time: 0.0849278271, other_time: 1.8322830200
epoch time: 7.6426377296s, input_fired_time: 0.5986092091, output_fired_time: 0.0000000000, propagate_forward_time: 6.7073292732, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3366990089
validation[          , genome  4479] predictions:    9581/  10000 (95.81%), best:    9702/10000 (97.02%), error:      1482.97351, best error:      1100.42285 on epoch:    29, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 97.1938247681s, input_fired_time: 1.3516345024, output_fired_time: 0.6467847824, propagate_forward_time: 35.0293083191, propagate_backward_time: 57.8003807068, weight_update_time: 0.0867014751, other_time: 2.3657226563
epoch time: 7.3639769554s, input_fired_time: 0.0991411582, output_fired_time: 0.0000000000, propagate_forward_time: 6.9321722984, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3326635361
validation[          , genome  4479] predictions:    9692/  10000 (96.92%), best:    9692/10000 (96.92%), error:      1080.75806, best error:      1080.75806 on epoch:    41, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 97.3150787354s, input_fired_time: 1.1048585176, output_fired_time: 0.8993699551, propagate_forward_time: 35.0323028564, propagate_backward_time: 58.1626014709, weight_update_time: 0.0868770778, other_time: 2.1159477234
epoch time: 7.6570315361s, input_fired_time: 0.0994652659, output_fired_time: 0.0000000000, propagate_forward_time: 6.4729590416, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0846071243
validation[          , genome  4479] predictions:    9610/  10000 (96.10%), best:    9692/10000 (96.92%), error:      1375.18042, best error:      1080.75806 on epoch:    41, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 97.9201126099s, input_fired_time: 1.6086697578, output_fired_time: 0.9029715061, propagate_forward_time: 33.5255393982, propagate_backward_time: 59.7523880005, weight_update_time: 0.0873332992, other_time: 2.1305427551
epoch time: 7.7062249184s, input_fired_time: 0.1002937257, output_fired_time: 0.0000000000, propagate_forward_time: 7.0181951523, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5877361298
validation[          , genome  4479] predictions:    9640/  10000 (96.40%), best:    9692/10000 (96.92%), error:      1244.13538, best error:      1080.75806 on epoch:    41, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 98.1846389771s, input_fired_time: 0.8633487225, output_fired_time: 0.6569973230, propagate_forward_time: 35.6318321228, propagate_backward_time: 58.6486549377, weight_update_time: 0.0876308009, other_time: 2.3838043213
epoch time: 7.7642440796s, input_fired_time: 0.1013899297, output_fired_time: 0.0000000000, propagate_forward_time: 7.0699806213, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5928735733
validation[          , genome  4479] predictions:    9663/  10000 (96.63%), best:    9692/10000 (96.92%), error:      1157.33569, best error:      1080.75806 on epoch:    41, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 98.3395919800s, input_fired_time: 0.8613011837, output_fired_time: 0.9047564268, propagate_forward_time: 34.8780937195, propagate_backward_time: 59.3038940430, weight_update_time: 0.0880588219, other_time: 2.3915519714
epoch time: 7.7738647461s, input_fired_time: 0.1018440649, output_fired_time: 0.0000000000, propagate_forward_time: 7.3269910812, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3450298309
validation[          , genome  4479] predictions:    9670/  10000 (96.70%), best:    9692/10000 (96.92%), error:      1090.91382, best error:      1080.75806 on epoch:    41, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 99.1844787598s, input_fired_time: 1.8692054749, output_fired_time: 0.6630067825, propagate_forward_time: 34.9344062805, propagate_backward_time: 59.0610618591, weight_update_time: 0.0887797400, other_time: 2.6567993164
epoch time: 7.4489488602s, input_fired_time: 0.1003095582, output_fired_time: 0.0000000000, propagate_forward_time: 7.0102453232, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3383941650
validation[          , genome  4479] predictions:    9605/  10000 (96.05%), best:    9692/10000 (96.92%), error:      1395.95532, best error:      1080.75806 on epoch:    41, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 98.8563308716s, input_fired_time: 1.1154714823, output_fired_time: 0.9105122685, propagate_forward_time: 36.8123855591, propagate_backward_time: 57.6296577454, weight_update_time: 0.0878094733, other_time: 2.3883018494
epoch time: 7.7020673752s, input_fired_time: 0.1001247019, output_fired_time: 0.0000000000, propagate_forward_time: 7.2649230957, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3370194435
validation[          , genome  4479] predictions:    9676/  10000 (96.76%), best:    9692/10000 (96.92%), error:      1146.10083, best error:      1080.75806 on epoch:    41, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 98.4512634277s, input_fired_time: 0.8645235300, output_fired_time: 0.6587269902, propagate_forward_time: 35.7510910034, propagate_backward_time: 58.7863388062, weight_update_time: 0.0879902169, other_time: 2.3905792236
epoch time: 7.8124504089s, input_fired_time: 0.1018430516, output_fired_time: 0.0000000000, propagate_forward_time: 6.6200504303, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0905570984
validation[          , genome  4479] predictions:    9664/  10000 (96.64%), best:    9692/10000 (96.92%), error:      1236.70776, best error:      1080.75806 on epoch:    41, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 98.9702072144s, input_fired_time: 1.1126705408, output_fired_time: 0.6554138064, propagate_forward_time: 35.5840148926, propagate_backward_time: 58.7323493958, weight_update_time: 0.0876671150, other_time: 2.8857612610
epoch time: 7.4725790024s, input_fired_time: 0.0994719565, output_fired_time: 0.0000000000, propagate_forward_time: 6.7858505249, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5872564316
validation[          , genome  4479] predictions:    9687/  10000 (96.87%), best:    9692/10000 (96.92%), error:      1081.07800, best error:      1080.75806 on epoch:    41, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 98.3965682983s, input_fired_time: 0.8566574454, output_fired_time: 0.6495728493, propagate_forward_time: 34.5382575989, propagate_backward_time: 60.2060432434, weight_update_time: 0.0883240253, other_time: 2.1460342407
epoch time: 7.4629206657s, input_fired_time: 0.1007396653, output_fired_time: 0.0000000000, propagate_forward_time: 7.0233178139, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3388633728
validation[          , genome  4479] predictions:    9636/  10000 (96.36%), best:    9692/10000 (96.92%), error:      1208.66724, best error:      1080.75806 on epoch:    41, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 97.8036804199s, input_fired_time: 1.1092644930, output_fired_time: 0.8976539373, propagate_forward_time: 33.9895286560, propagate_backward_time: 59.4138793945, weight_update_time: 0.0880071223, other_time: 2.3933525085
epoch time: 7.4266743660s, input_fired_time: 0.0995692015, output_fired_time: 0.0000000000, propagate_forward_time: 6.9881558418, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3389492035
validation[          , genome  4479] predictions:    9694/  10000 (96.94%), best:    9694/10000 (96.94%), error:      1072.84412, best error:      1072.84412 on epoch:    51, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 98.0646514893s, input_fired_time: 1.1159588099, output_fired_time: 1.4050703049, propagate_forward_time: 35.7929229736, propagate_backward_time: 57.6031913757, weight_update_time: 0.0887423232, other_time: 2.1475105286
epoch time: 7.3791694641s, input_fired_time: 0.0998329371, output_fired_time: 0.0000000000, propagate_forward_time: 6.6954846382, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5838518143
validation[          , genome  4479] predictions:    9674/  10000 (96.74%), best:    9694/10000 (96.94%), error:      1135.23657, best error:      1072.84412 on epoch:    51, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 97.8590850830s, input_fired_time: 1.1105848551, output_fired_time: 0.9021549225, propagate_forward_time: 35.5169677734, propagate_backward_time: 58.4440231323, weight_update_time: 0.0878197178, other_time: 1.8853530884
epoch time: 7.6428923607s, input_fired_time: 0.0994299576, output_fired_time: 0.0000000000, propagate_forward_time: 7.2075595856, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3359026909
validation[          , genome  4479] predictions:    9649/  10000 (96.49%), best:    9694/10000 (96.94%), error:      1204.11719, best error:      1072.84412 on epoch:    51, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 98.0089111328s, input_fired_time: 1.3581326008, output_fired_time: 0.9159941673, propagate_forward_time: 34.2977600098, propagate_backward_time: 58.7805938721, weight_update_time: 0.0885093734, other_time: 2.6564331055
epoch time: 7.4022474289s, input_fired_time: 0.1002450660, output_fired_time: 0.0000000000, propagate_forward_time: 6.7140631676, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5879392624
validation[          , genome  4479] predictions:    9663/  10000 (96.63%), best:    9694/10000 (96.94%), error:      1222.20520, best error:      1072.84412 on epoch:    51, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 98.2428283691s, input_fired_time: 1.1119240522, output_fired_time: 0.9067348838, propagate_forward_time: 35.1333732605, propagate_backward_time: 58.4271736145, weight_update_time: 0.3391354382, other_time: 2.6636199951
epoch time: 7.7651600838s, input_fired_time: 0.0995958000, output_fired_time: 0.0000000000, propagate_forward_time: 6.8243331909, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8412308693
validation[          , genome  4479] predictions:    9656/  10000 (96.56%), best:    9694/10000 (96.94%), error:      1272.41504, best error:      1072.84412 on epoch:    51, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 97.4837951660s, input_fired_time: 1.6072698832, output_fired_time: 0.9001808167, propagate_forward_time: 34.4648780823, propagate_backward_time: 58.1072235107, weight_update_time: 0.0885923058, other_time: 2.4042472839
epoch time: 7.7212057114s, input_fired_time: 0.1009045020, output_fired_time: 0.0000000000, propagate_forward_time: 7.0312547684, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5890464783
validation[          , genome  4479] predictions:    9690/  10000 (96.90%), best:    9694/10000 (96.94%), error:      1087.71814, best error:      1072.84412 on epoch:    51, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 97.8311614990s, input_fired_time: 1.8581755161, output_fired_time: 0.9026992917, propagate_forward_time: 34.2444915771, propagate_backward_time: 57.9258842468, weight_update_time: 0.0880982280, other_time: 2.8999061584
epoch time: 7.4430637360s, input_fired_time: 0.1004012376, output_fired_time: 0.0000000000, propagate_forward_time: 7.0017943382, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3408679962
validation[          , genome  4479] predictions:    9681/  10000 (96.81%), best:    9694/10000 (96.94%), error:      1083.67957, best error:      1072.84412 on epoch:    51, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 97.8794555664s, input_fired_time: 1.6068369150, output_fired_time: 0.9015384912, propagate_forward_time: 34.9678421021, propagate_backward_time: 58.4953956604, weight_update_time: 0.0888821259, other_time: 1.9078483582
epoch time: 7.6474318504s, input_fired_time: 0.0996808186, output_fired_time: 0.0000000000, propagate_forward_time: 7.2117166519, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3360342979
validation[          , genome  4479] predictions:    9697/  10000 (96.97%), best:    9697/10000 (96.97%), error:      1041.28198, best error:      1041.28198 on epoch:    58, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 97.3890838623s, input_fired_time: 1.1064398289, output_fired_time: 0.6471473575, propagate_forward_time: 35.5772476196, propagate_backward_time: 57.1546440125, weight_update_time: 0.3380566835, other_time: 2.9036064148
epoch time: 7.3305888176s, input_fired_time: 0.0978841856, output_fired_time: 0.0000000000, propagate_forward_time: 6.6506319046, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5820727348
validation[          , genome  4479] predictions:    9680/  10000 (96.80%), best:    9697/10000 (96.97%), error:      1090.60999, best error:      1041.28198 on epoch:    58, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 97.1014404297s, input_fired_time: 1.1031011343, output_fired_time: 0.8948312402, propagate_forward_time: 34.4943313599, propagate_backward_time: 57.7089881897, weight_update_time: 0.3379835784, other_time: 2.9001884460
epoch time: 7.4139719009s, input_fired_time: 0.0987320766, output_fired_time: 0.0000000000, propagate_forward_time: 6.9788250923, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3364148140
validation[          , genome  4479] predictions:    9670/  10000 (96.70%), best:    9697/10000 (96.97%), error:      1117.30408, best error:      1041.28198 on epoch:    58, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 97.1585540771s, input_fired_time: 1.3494111300, output_fired_time: 0.6455451250, propagate_forward_time: 35.3048133850, propagate_backward_time: 56.9652252197, weight_update_time: 0.0876671225, other_time: 2.8935585022
epoch time: 7.4470124245s, input_fired_time: 0.0989701524, output_fired_time: 0.0000000000, propagate_forward_time: 7.0086746216, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3393678665
validation[          , genome  4479] predictions:    9606/  10000 (96.06%), best:    9697/10000 (96.97%), error:      1311.16626, best error:      1041.28198 on epoch:    58, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 72.9144973755s, input_fired_time: 0.8397700787, output_fired_time: 0.6396520138, propagate_forward_time: 25.9643306732, propagate_backward_time: 43.6155891418, weight_update_time: 0.0864649266, other_time: 1.8551597595
epoch time: 5.5663170815s, input_fired_time: 0.0981662869, output_fired_time: 0.0000000000, propagate_forward_time: 5.1376657486, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3304848671
validation[          , genome  4479] predictions:    9615/  10000 (96.15%), best:    9697/10000 (96.97%), error:      1322.80847, best error:      1041.28198 on epoch:    58, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 72.0497055054s, input_fired_time: 0.8443707228, output_fired_time: 0.6382045746, propagate_forward_time: 25.6985359192, propagate_backward_time: 43.0137634277, weight_update_time: 0.0863025859, other_time: 1.8548316956
epoch time: 5.5571551323s, input_fired_time: 0.0970010012, output_fired_time: 0.0000000000, propagate_forward_time: 5.1301269531, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3300271034
validation[          , genome  4479] predictions:    9679/  10000 (96.79%), best:    9697/10000 (96.97%), error:      1109.41931, best error:      1041.28198 on epoch:    58, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 72.0038146973s, input_fired_time: 0.8408251405, output_fired_time: 0.6374661922, propagate_forward_time: 25.6764278412, propagate_backward_time: 43.0017433167, weight_update_time: 0.0858479217, other_time: 1.8473472595
epoch time: 5.5494289398s, input_fired_time: 0.0978565440, output_fired_time: 0.0000000000, propagate_forward_time: 5.1231780052, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3283944130
validation[          , genome  4479] predictions:    9662/  10000 (96.62%), best:    9697/10000 (96.97%), error:      1181.51794, best error:      1041.28198 on epoch:    58, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 72.0696945190s, input_fired_time: 0.8406505585, output_fired_time: 0.6386474967, propagate_forward_time: 25.7132778168, propagate_backward_time: 43.0329742432, weight_update_time: 0.0855734795, other_time: 1.8441390991
epoch time: 5.5676631927s, input_fired_time: 0.0986153632, output_fired_time: 0.0000000000, propagate_forward_time: 5.1403088570, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3287391663
validation[          , genome  4479] predictions:    9642/  10000 (96.42%), best:    9697/10000 (96.97%), error:      1252.19287, best error:      1041.28198 on epoch:    58, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 71.9363784790s, input_fired_time: 0.8406717777, output_fired_time: 0.6374261975, propagate_forward_time: 25.6657981873, propagate_backward_time: 42.9563255310, weight_update_time: 0.0854987726, other_time: 1.8361511230
epoch time: 5.5575718880s, input_fired_time: 0.0967782214, output_fired_time: 0.0000000000, propagate_forward_time: 5.1316380501, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3291554451
validation[          , genome  4479] predictions:    9638/  10000 (96.38%), best:    9697/10000 (96.97%), error:      1246.12573, best error:      1041.28198 on epoch:    58, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 72.0607833862s, input_fired_time: 0.8411896825, output_fired_time: 0.6381312609, propagate_forward_time: 25.7126636505, propagate_backward_time: 43.0190544128, weight_update_time: 0.0858965889, other_time: 1.8497505188
epoch time: 5.5520572662s, input_fired_time: 0.0987300053, output_fired_time: 0.0000000000, propagate_forward_time: 5.1231169701, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3302102089
validation[          , genome  4479] predictions:    9685/  10000 (96.85%), best:    9697/10000 (96.97%), error:      1107.81299, best error:      1041.28198 on epoch:    58, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 72.1218261719s, input_fired_time: 0.8423998356, output_fired_time: 0.6387447119, propagate_forward_time: 25.6913013458, propagate_backward_time: 43.1036338806, weight_update_time: 0.0857291743, other_time: 1.8457450867
epoch time: 5.5506539345s, input_fired_time: 0.0976082534, output_fired_time: 0.0000000000, propagate_forward_time: 5.1243839264, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3286619186
validation[          , genome  4479] predictions:    9688/  10000 (96.88%), best:    9697/10000 (96.97%), error:      1131.30835, best error:      1041.28198 on epoch:    58, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 72.1220016479s, input_fired_time: 0.8428750038, output_fired_time: 0.6380851269, propagate_forward_time: 25.7756195068, propagate_backward_time: 43.0119323730, weight_update_time: 0.0859994888, other_time: 1.8534927368
epoch time: 5.5530738831s, input_fired_time: 0.0983342677, output_fired_time: 0.0000000000, propagate_forward_time: 5.1246724129, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3300671577
validation[          , genome  4479] predictions:    9570/  10000 (95.70%), best:    9697/10000 (96.97%), error:      1454.01416, best error:      1041.28198 on epoch:    58, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 71.9891967773s, input_fired_time: 0.8404653072, output_fired_time: 0.6376751065, propagate_forward_time: 25.6728496552, propagate_backward_time: 42.9837570190, weight_update_time: 0.0860593617, other_time: 1.8544540405
epoch time: 5.5546083450s, input_fired_time: 0.0977305695, output_fired_time: 0.0000000000, propagate_forward_time: 5.1267061234, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3301715851
validation[          , genome  4479] predictions:    9656/  10000 (96.56%), best:    9697/10000 (96.97%), error:      1179.95239, best error:      1041.28198 on epoch:    58, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 72.1326980591s, input_fired_time: 0.8466638327, output_fired_time: 0.6390541196, propagate_forward_time: 25.7313690186, propagate_backward_time: 43.0583229065, weight_update_time: 0.0862155780, other_time: 1.8572883606
epoch time: 5.5562143326s, input_fired_time: 0.0980598256, output_fired_time: 0.0000000000, propagate_forward_time: 5.1278190613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3303356171
validation[          , genome  4479] predictions:    9701/  10000 (97.01%), best:    9701/10000 (97.01%), error:      1033.25171, best error:      1033.25171 on epoch:    71, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 72.0650253296s, input_fired_time: 0.8439104557, output_fired_time: 0.6380657554, propagate_forward_time: 25.7204895020, propagate_backward_time: 43.0067596436, weight_update_time: 0.0861551538, other_time: 1.8557968140
epoch time: 5.5541143417s, input_fired_time: 0.0983040109, output_fired_time: 0.0000000000, propagate_forward_time: 5.1252503395, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3305602074
validation[          , genome  4479] predictions:    9692/  10000 (96.92%), best:    9701/10000 (97.01%), error:      1062.90906, best error:      1033.25171 on epoch:    71, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 71.9630203247s, input_fired_time: 0.8422359228, output_fired_time: 0.6375766397, propagate_forward_time: 25.6767578125, propagate_backward_time: 42.9557266235, weight_update_time: 0.0858806819, other_time: 1.8507232666
epoch time: 5.5523643494s, input_fired_time: 0.0979061872, output_fired_time: 0.0000000000, propagate_forward_time: 5.1249723434, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3294858932
validation[          , genome  4479] predictions:    9649/  10000 (96.49%), best:    9701/10000 (97.01%), error:      1303.85144, best error:      1033.25171 on epoch:    71, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 72.0105590820s, input_fired_time: 0.8404831886, output_fired_time: 0.6381605268, propagate_forward_time: 25.6976261139, propagate_backward_time: 42.9891929626, weight_update_time: 0.0860901475, other_time: 1.8450965881
epoch time: 5.5514125824s, input_fired_time: 0.0985728353, output_fired_time: 0.0000000000, propagate_forward_time: 5.1238460541, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3289937973
validation[          , genome  4479] predictions:    9633/  10000 (96.33%), best:    9701/10000 (97.01%), error:      1228.41394, best error:      1033.25171 on epoch:    71, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 71.9974441528s, input_fired_time: 0.8454864621, output_fired_time: 0.6383797526, propagate_forward_time: 25.6827697754, propagate_backward_time: 42.9814796448, weight_update_time: 0.0859729052, other_time: 1.8493232727
epoch time: 5.5536394119s, input_fired_time: 0.0986261070, output_fired_time: 0.0000000000, propagate_forward_time: 5.1259508133, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3290624619
validation[          , genome  4479] predictions:    9689/  10000 (96.89%), best:    9701/10000 (97.01%), error:      1099.83691, best error:      1033.25171 on epoch:    71, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 72.0283889771s, input_fired_time: 0.8438785076, output_fired_time: 0.6376423836, propagate_forward_time: 25.6849651337, propagate_backward_time: 43.0126190186, weight_update_time: 0.0859436989, other_time: 1.8492813110
epoch time: 5.5523805618s, input_fired_time: 0.0986388773, output_fired_time: 0.0000000000, propagate_forward_time: 5.1246585846, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3290829659
validation[          , genome  4479] predictions:    9528/  10000 (95.28%), best:    9701/10000 (97.01%), error:      1719.60608, best error:      1033.25171 on epoch:    71, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 71.9473571777s, input_fired_time: 0.8414634466, output_fired_time: 0.6375052333, propagate_forward_time: 25.6640186310, propagate_backward_time: 42.9591369629, weight_update_time: 0.0859830901, other_time: 1.8452377319
epoch time: 5.5787277222s, input_fired_time: 0.0974899381, output_fired_time: 0.0000000000, propagate_forward_time: 5.1526217461, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3286161423
validation[          , genome  4479] predictions:    9570/  10000 (95.70%), best:    9701/10000 (97.01%), error:      1414.89502, best error:      1033.25171 on epoch:    71, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 71.9699707031s, input_fired_time: 0.8384723663, output_fired_time: 0.6377150416, propagate_forward_time: 25.6706771851, propagate_backward_time: 42.9759979248, weight_update_time: 0.0858740509, other_time: 1.8471069336
epoch time: 5.5554056168s, input_fired_time: 0.0978611112, output_fired_time: 0.0000000000, propagate_forward_time: 5.1284904480, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3290538788
validation[          , genome  4479] predictions:    9709/  10000 (97.09%), best:    9701/10000 (97.01%), error:      1044.25342, best error:      1033.25171 on epoch:    71, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 72.0066146851s, input_fired_time: 0.8408394456, output_fired_time: 0.6380330324, propagate_forward_time: 25.6985969543, propagate_backward_time: 42.9883689880, weight_update_time: 0.0857916176, other_time: 1.8407745361
epoch time: 5.5522594452s, input_fired_time: 0.0980141908, output_fired_time: 0.0000000000, propagate_forward_time: 5.1254448891, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3288002014
validation[          , genome  4479] predictions:    9669/  10000 (96.69%), best:    9701/10000 (97.01%), error:      1133.72351, best error:      1033.25171 on epoch:    71, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 71.9718704224s, input_fired_time: 0.8407731056, output_fired_time: 0.6371359229, propagate_forward_time: 25.6668281555, propagate_backward_time: 42.9839973450, weight_update_time: 0.0857419595, other_time: 1.8431320190
epoch time: 5.5606474876s, input_fired_time: 0.0968058929, output_fired_time: 0.0000000000, propagate_forward_time: 5.1343793869, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3294620514
validation[          , genome  4479] predictions:    9630/  10000 (96.30%), best:    9701/10000 (97.01%), error:      1286.24841, best error:      1033.25171 on epoch:    71, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

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_43_4479.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_4479_1_r1463590094_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: 0.982312
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00019612
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.84479e-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: 81
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 71
read number_validation_images: 10000
read best_validation_predictions: 9701
read best_validation_error: 1033.25
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: 4479
read normal distribution: '1 0.473209112882614 -1.07114660739899'
generator_str: '1745097115'
read generator: 1745097115
read generated_by_map:
1 add_node 1
reading 24 nodes.
reading 49 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: 130.322479248047s, input_fired_time: 1.27879178524017, output_fired_time: 1.11312711238861, propagate_forward_time: 48.8338661193848, propagate_backward_time: 76.0648956298828, weight_update_time: 0.156120404601097, other_time: 3.03179931640625
epoch time: 10.9966459274292s, input_fired_time: 0.165534868836403, output_fired_time: 0, propagate_forward_time: 10.325608253479, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.505502700805664
validation[          , genome  4479] predictions:    9662/  10000 (96.62%), best:    9701/10000 (97.01%), error:      1155.23779, best error:      1033.25171 on epoch:    71, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 132.6075439453s, input_fired_time: 1.2227525711, output_fired_time: 1.0697462559, propagate_forward_time: 50.2045860291, propagate_backward_time: 76.9359588623, weight_update_time: 0.1261437535, other_time: 3.1744995117
epoch time: 10.1809415817s, input_fired_time: 0.1396158338, output_fired_time: 0.0000000000, propagate_forward_time: 9.5368165970, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5045089722
validation[          , genome  4479] predictions:    9684/  10000 (96.84%), best:    9701/10000 (97.01%), error:      1112.24756, best error:      1033.25171 on epoch:    71, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 131.6853485107s, input_fired_time: 1.2275469303, output_fired_time: 1.1970096827, propagate_forward_time: 49.8709831238, propagate_backward_time: 76.3592147827, weight_update_time: 0.1245396584, other_time: 3.0305862427
epoch time: 11.0358438492s, input_fired_time: 0.1532757431, output_fired_time: 0.0000000000, propagate_forward_time: 10.2879581451, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5946102142
validation[          , genome  4479] predictions:    9680/  10000 (96.80%), best:    9701/10000 (97.01%), error:      1081.33545, best error:      1033.25171 on epoch:    71, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 128.8906555176s, input_fired_time: 1.2816473246, output_fired_time: 1.0369988680, propagate_forward_time: 48.3315544128, propagate_backward_time: 75.3457183838, weight_update_time: 0.1420833468, other_time: 2.8947296143
epoch time: 10.0703992844s, input_fired_time: 0.1399558336, output_fired_time: 0.0000000000, propagate_forward_time: 9.4087648392, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5216789246
validation[          , genome  4479] predictions:    9697/  10000 (96.97%), best:    9701/10000 (97.01%), error:      1092.73499, best error:      1033.25171 on epoch:    71, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 183.4498443604s, input_fired_time: 1.5778380632, output_fired_time: 1.5137705803, propagate_forward_time: 67.3494720459, propagate_backward_time: 108.3856353760, weight_update_time: 0.2314278632, other_time: 4.6231384277
epoch time: 17.1795101166s, input_fired_time: 0.1531426907, output_fired_time: 0.0000000000, propagate_forward_time: 15.8443937302, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1819734573
validation[          , genome  4479] predictions:    9657/  10000 (96.57%), best:    9701/10000 (97.01%), error:      1222.91565, best error:      1033.25171 on epoch:    71, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 218.6937561035s, input_fired_time: 2.3123543262, output_fired_time: 1.3420636654, propagate_forward_time: 83.9457778931, propagate_backward_time: 125.4000778198, weight_update_time: 0.1725603044, other_time: 5.6934890747
epoch time: 18.3031387329s, input_fired_time: 0.4804102182, output_fired_time: 0.0000000000, propagate_forward_time: 16.8161582947, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0065708160
validation[          , genome  4479] predictions:    9636/  10000 (96.36%), best:    9701/10000 (97.01%), error:      1244.49841, best error:      1033.25171 on epoch:    71, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 228.4094848633s, input_fired_time: 2.0488317013, output_fired_time: 2.5230898857, propagate_forward_time: 84.1048202515, propagate_backward_time: 135.8538665771, weight_update_time: 0.1568111777, other_time: 3.8788909912
epoch time: 18.7316913605s, input_fired_time: 0.1530950814, output_fired_time: 0.0000000000, propagate_forward_time: 17.7139434814, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8646526337
validation[          , genome  4479] predictions:    9690/  10000 (96.90%), best:    9701/10000 (97.01%), error:      1101.17798, best error:      1033.25171 on epoch:    71, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 224.9086456299s, input_fired_time: 1.6564961672, output_fired_time: 1.7713392973, propagate_forward_time: 85.3674621582, propagate_backward_time: 130.7575378418, weight_update_time: 0.3911256790, other_time: 5.3558197021
epoch time: 20.0962677002s, input_fired_time: 0.1542773098, output_fired_time: 0.0000000000, propagate_forward_time: 19.3264122009, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6155776978
validation[          , genome  4479] predictions:    9621/  10000 (96.21%), best:    9701/10000 (97.01%), error:      1263.98413, best error:      1033.25171 on epoch:    71, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

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_43_4479.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_4479_1_r1463590094_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: 0.9849
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00013011
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 5.2044e-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: 89
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 71
read number_validation_images: 10000
read best_validation_predictions: 9701
read best_validation_error: 1033.25
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: 4479
read normal distribution: '1 0.473209112882614 -1.07114660739899'
generator_str: '2057791128'
read generator: 2057791128
read generated_by_map:
1 add_node 1
reading 24 nodes.
reading 49 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: 238.683258056641s, input_fired_time: 2.43818283081055, output_fired_time: 1.54822492599487, propagate_forward_time: 89.0574798583984, propagate_backward_time: 141.043334960938, weight_update_time: 0.158791556954384, other_time: 4.59603881835938
epoch time: 19.112642288208s, input_fired_time: 0.169244647026062, output_fired_time: 0, propagate_forward_time: 17.6726551055908, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.27074241638184
validation[          , genome  4479] predictions:    9690/  10000 (96.90%), best:    9701/10000 (97.01%), error:      1096.85413, best error:      1033.25171 on epoch:    71, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 217.6190185547s, input_fired_time: 2.2772727013, output_fired_time: 2.3227365017, propagate_forward_time: 82.7053985596, propagate_backward_time: 124.8700103760, weight_update_time: 0.4240218997, other_time: 5.4436035156
epoch time: 16.7989425659s, input_fired_time: 0.1845905632, output_fired_time: 0.0000000000, propagate_forward_time: 16.0470294952, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5673217773
validation[          , genome  4479] predictions:    9668/  10000 (96.68%), best:    9701/10000 (97.01%), error:      1126.48767, best error:      1033.25171 on epoch:    71, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 197.6309356689s, input_fired_time: 1.8453286886, output_fired_time: 2.2987949848, propagate_forward_time: 76.2256927490, propagate_backward_time: 113.0344085693, weight_update_time: 0.2035118788, other_time: 4.2267150879
epoch time: 10.4167490005s, input_fired_time: 0.1387686878, output_fired_time: 0.0000000000, propagate_forward_time: 9.8082866669, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4696931839
validation[          , genome  4479] predictions:    9674/  10000 (96.74%), best:    9701/10000 (97.01%), error:      1101.29663, best error:      1033.25171 on epoch:    71, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 128.5018463135s, input_fired_time: 1.2221814394, output_fired_time: 1.0195771456, propagate_forward_time: 48.2147483826, propagate_backward_time: 75.1679229736, weight_update_time: 0.1315861642, other_time: 2.8774108887
epoch time: 10.1425476074s, input_fired_time: 0.1442630887, output_fired_time: 0.0000000000, propagate_forward_time: 9.4902505875, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5080337524
validation[          , genome  4479] predictions:    9691/  10000 (96.91%), best:    9701/10000 (97.01%), error:      1110.90332, best error:      1033.25171 on epoch:    71, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 131.3868865967s, input_fired_time: 1.2853040695, output_fired_time: 1.0030423403, propagate_forward_time: 49.3810119629, propagate_backward_time: 76.7443161011, weight_update_time: 0.1308744997, other_time: 2.9732131958
epoch time: 10.9178562164s, input_fired_time: 0.1458713263, output_fired_time: 0.0000000000, propagate_forward_time: 10.2493915558, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5225934982
validation[          , genome  4479] predictions:    9676/  10000 (96.76%), best:    9701/10000 (97.01%), error:      1137.06506, best error:      1033.25171 on epoch:    71, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 130.6854400635s, input_fired_time: 1.2204281092, output_fired_time: 1.0335775614, propagate_forward_time: 49.4385719299, propagate_backward_time: 76.1896133423, weight_update_time: 0.1312825680, other_time: 2.8032455444
epoch time: 11.4212942123s, input_fired_time: 0.1365496218, output_fired_time: 0.0000000000, propagate_forward_time: 10.7443571091, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5403871536
validation[          , genome  4479] predictions:    9678/  10000 (96.78%), best:    9701/10000 (97.01%), error:      1138.21069, best error:      1033.25171 on epoch:    71, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 122.5004501343s, input_fired_time: 1.1527514458, output_fired_time: 0.9690019488, propagate_forward_time: 46.0421257019, propagate_backward_time: 71.7044143677, weight_update_time: 0.1280149519, other_time: 2.6321640015
epoch time: 9.8151865005s, input_fired_time: 0.1846811920, output_fired_time: 0.0000000000, propagate_forward_time: 9.1171274185, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5133781433
validation[          , genome  4479] predictions:    9634/  10000 (96.34%), best:    9701/10000 (97.01%), error:      1253.59424, best error:      1033.25171 on epoch:    71, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 117.8353958130s, input_fired_time: 1.1679371595, output_fired_time: 0.9978318214, propagate_forward_time: 44.2417449951, propagate_backward_time: 68.8137283325, weight_update_time: 0.1243474483, other_time: 2.6141510010
epoch time: 10.3103752136s, input_fired_time: 0.1654311419, output_fired_time: 0.0000000000, propagate_forward_time: 9.6503810883, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4945631027
validation[          , genome  4479] predictions:    9653/  10000 (96.53%), best:    9701/10000 (97.01%), error:      1290.55542, best error:      1033.25171 on epoch:    71, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 120.4350433350s, input_fired_time: 1.1453304291, output_fired_time: 0.9387074709, propagate_forward_time: 45.2747268677, propagate_backward_time: 70.4602890015, weight_update_time: 0.1231989712, other_time: 2.6159896851
epoch time: 10.3917999268s, input_fired_time: 0.1409493685, output_fired_time: 0.0000000000, propagate_forward_time: 9.7636623383, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4871883392
validation[          , genome  4479] predictions:    9665/  10000 (96.65%), best:    9701/10000 (97.01%), error:      1163.17737, best error:      1033.25171 on epoch:    71, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 117.7275161743s, input_fired_time: 1.0986559391, output_fired_time: 0.9866759777, propagate_forward_time: 44.0597267151, propagate_backward_time: 68.8746109009, weight_update_time: 0.1229639873, other_time: 2.7078475952
epoch time: 9.3232479095s, input_fired_time: 0.1355041414, output_fired_time: 0.0000000000, propagate_forward_time: 8.7167272568, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4710168839
validation[          , genome  4479] predictions:    9674/  10000 (96.74%), best:    9701/10000 (97.01%), error:      1158.95898, best error:      1033.25171 on epoch:    71, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 115.3594360352s, input_fired_time: 1.0759907961, output_fired_time: 1.0016318560, propagate_forward_time: 43.1203346252, propagate_backward_time: 67.6030654907, weight_update_time: 0.1228441671, other_time: 2.5584182739
epoch time: 8.9732017517s, input_fired_time: 0.1347248703, output_fired_time: 0.0000000000, propagate_forward_time: 8.3848714828, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4536056519
validation[          , genome  4479] predictions:    9689/  10000 (96.89%), best:    9701/10000 (97.01%), error:      1135.18262, best error:      1033.25171 on epoch:    71, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 117.8072280884s, input_fired_time: 1.1671855450, output_fired_time: 0.9950745106, propagate_forward_time: 44.3742637634, propagate_backward_time: 68.5913848877, weight_update_time: 0.1221959442, other_time: 2.6793212891
epoch time: 9.0307703018s, input_fired_time: 0.1352670342, output_fired_time: 0.0000000000, propagate_forward_time: 8.4390869141, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4564161301
validation[          , genome  4479] predictions:    9628/  10000 (96.28%), best:    9701/10000 (97.01%), error:      1289.79028, best error:      1033.25171 on epoch:    71, 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: 46.9593162537s, input_fired_time: 0.6833247542, output_fired_time: 0.0000000000, propagate_forward_time: 43.8279838562, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4480094910
best training[          , genome  4479] predictions:   49230/  50000 (98.46%), best:    9701/10000 (97.01%), error:      2897.90991, best error:      1033.25171 on epoch:    71, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 8.9287281036s, input_fired_time: 0.1326466054, output_fired_time: 0.0000000000, propagate_forward_time: 8.3442087173, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4518728256
   testing[          , genome  4479] predictions:    9716/  10000 (97.16%), best:    9701/10000 (97.01%), error:       955.53143, best error:      1033.25171 on epoch:    71, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
00:05:55 (10472): called boinc_finish(0)

</stderr_txt>
]]>