Nameexact_genome_1512568488_44_4471_0
Workunit2593679
Created7 Dec 2017, 10:09:20 UTC
Sent7 Dec 2017, 10:13:12 UTC
Report deadline12 Dec 2017, 23:13:37 UTC
Received7 Dec 2017, 23:52:35 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time2 hours 16 min 55 sec
CPU time1 hours 56 min 11 sec
Validate stateValid
Credit1,385.49
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size154.75 MB
Peak swap size157.70 MB
Peak disk usage1.63 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
.07068, best error:      1315.07068 on epoch:    26, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 73.2735824585s, input_fired_time: 0.9524490237, output_fired_time: 0.5110197067, propagate_forward_time: 26.0929260254, propagate_backward_time: 43.2612915039, weight_update_time: 0.0748300701, other_time: 2.4559020996
epoch time: 5.7045259476s, input_fired_time: 0.0813779831, output_fired_time: 0.0000000000, propagate_forward_time: 5.3228278160, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3003201485
validation[          , genome  4471] predictions:    9606/  10000 (96.06%), best:    9602/10000 (96.02%), error:      1321.75269, best error:      1315.07068 on epoch:    26, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 72.9238510132s, input_fired_time: 0.9353410006, output_fired_time: 1.0077083111, propagate_forward_time: 24.9671287537, propagate_backward_time: 43.8223152161, weight_update_time: 0.0740426183, other_time: 2.1913604736
epoch time: 5.4587230682s, input_fired_time: 0.0818372220, output_fired_time: 0.0000000000, propagate_forward_time: 5.0753440857, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3015418053
validation[          , genome  4471] predictions:    9595/  10000 (95.95%), best:    9602/10000 (96.02%), error:      1360.59094, best error:      1315.07068 on epoch:    26, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 73.3048858643s, input_fired_time: 0.9372439981, output_fired_time: 0.5050629973, propagate_forward_time: 25.7928295135, propagate_backward_time: 43.8681068420, weight_update_time: 0.0743979514, other_time: 2.2016410828
epoch time: 5.4811725616s, input_fired_time: 0.0821526349, output_fired_time: 0.0000000000, propagate_forward_time: 5.0963015556, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3027181625
validation[          , genome  4471] predictions:    9605/  10000 (96.05%), best:    9605/10000 (96.05%), error:      1303.83655, best error:      1303.83655 on epoch:    29, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 72.6949157715s, input_fired_time: 0.9366022944, output_fired_time: 0.7528256774, propagate_forward_time: 25.2701835632, propagate_backward_time: 43.5334587097, weight_update_time: 0.0743006840, other_time: 2.2018508911
epoch time: 5.8157515526s, input_fired_time: 0.0836323500, output_fired_time: 0.0000000000, propagate_forward_time: 5.4226713181, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3094477654
validation[          , genome  4471] predictions:    9593/  10000 (95.93%), best:    9605/10000 (96.05%), error:      1313.34485, best error:      1303.83655 on epoch:    29, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 72.9438934326s, input_fired_time: 0.6912770271, output_fired_time: 0.5071002245, propagate_forward_time: 27.3306636810, propagate_backward_time: 42.7102737427, weight_update_time: 0.0743712708, other_time: 1.7045745850
epoch time: 5.7634453773s, input_fired_time: 0.0830753073, output_fired_time: 0.0000000000, propagate_forward_time: 5.1228294373, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5575404167
validation[          , genome  4471] predictions:    9564/  10000 (95.64%), best:    9605/10000 (96.05%), error:      1465.14221, best error:      1303.83655 on epoch:    29, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 73.1253585815s, input_fired_time: 0.6912196875, output_fired_time: 0.5066927075, propagate_forward_time: 27.4710044861, propagate_backward_time: 41.9972877502, weight_update_time: 0.0744624212, other_time: 2.4591522217
epoch time: 5.8213839531s, input_fired_time: 0.0828371868, output_fired_time: 0.0000000000, propagate_forward_time: 5.4294633865, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3090834618
validation[          , genome  4471] predictions:    9600/  10000 (96.00%), best:    9605/10000 (96.05%), error:      1359.52002, best error:      1303.83655 on epoch:    29, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 72.7915878296s, input_fired_time: 1.1900100708, output_fired_time: 0.5074514747, propagate_forward_time: 28.2600021362, propagate_backward_time: 40.8920021057, weight_update_time: 0.0740497708, other_time: 1.9421195984
epoch time: 5.5177841187s, input_fired_time: 0.0818863958, output_fired_time: 0.0000000000, propagate_forward_time: 4.6290717125, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8068261147
validation[          , genome  4471] predictions:    9502/  10000 (95.02%), best:    9605/10000 (96.05%), error:      1658.58911, best error:      1303.83655 on epoch:    29, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 72.7291183472s, input_fired_time: 0.6857208610, output_fired_time: 0.5035218000, propagate_forward_time: 25.2002983093, propagate_backward_time: 44.6234512329, weight_update_time: 0.0750394464, other_time: 1.7161216736
epoch time: 5.7324128151s, input_fired_time: 0.0821859241, output_fired_time: 0.0000000000, propagate_forward_time: 5.3481397629, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3020873070
validation[          , genome  4471] predictions:    9599/  10000 (95.99%), best:    9605/10000 (96.05%), error:      1365.86450, best error:      1303.83655 on epoch:    29, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 72.3126220703s, input_fired_time: 0.9375622272, output_fired_time: 0.5003709793, propagate_forward_time: 26.8461723328, propagate_backward_time: 41.5756645203, weight_update_time: 0.0742264092, other_time: 2.4528503418
epoch time: 5.4525732994s, input_fired_time: 0.0816964656, output_fired_time: 0.0000000000, propagate_forward_time: 4.5700569153, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8008198738
validation[          , genome  4471] predictions:    9610/  10000 (96.10%), best:    9610/10000 (96.10%), error:      1285.89319, best error:      1285.89319 on epoch:    35, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 72.2649154663s, input_fired_time: 0.9310890436, output_fired_time: 0.4988057017, propagate_forward_time: 25.5548095703, propagate_backward_time: 43.0630493164, weight_update_time: 0.3239691556, other_time: 2.2171630859
epoch time: 5.6975941658s, input_fired_time: 0.0805608481, output_fired_time: 0.0000000000, propagate_forward_time: 5.0662431717, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5507903099
validation[          , genome  4471] predictions:    9607/  10000 (96.07%), best:    9610/10000 (96.10%), error:      1303.26245, best error:      1285.89319 on epoch:    35, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 72.5377426147s, input_fired_time: 0.9361955523, output_fired_time: 0.5000995994, propagate_forward_time: 25.9389495850, propagate_backward_time: 41.6987876892, weight_update_time: 0.0743390396, other_time: 3.4637107849
epoch time: 5.4770083427s, input_fired_time: 0.0826923251, output_fired_time: 0.0000000000, propagate_forward_time: 5.0923023224, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3020138741
validation[          , genome  4471] predictions:    9580/  10000 (95.80%), best:    9610/10000 (96.10%), error:      1318.76575, best error:      1285.89319 on epoch:    35, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 72.3799591064s, input_fired_time: 0.6838234067, output_fired_time: 0.7511122823, propagate_forward_time: 24.8704624176, propagate_backward_time: 44.1235847473, weight_update_time: 0.0740984008, other_time: 1.9509773254
epoch time: 5.4775986671s, input_fired_time: 0.0823436230, output_fired_time: 0.0000000000, propagate_forward_time: 5.0916552544, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3035998344
validation[          , genome  4471] predictions:    9533/  10000 (95.33%), best:    9610/10000 (96.10%), error:      1520.58484, best error:      1285.89319 on epoch:    35, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 71.7332992554s, input_fired_time: 0.9285898209, output_fired_time: 0.4940998852, propagate_forward_time: 25.1393203735, propagate_backward_time: 41.9835510254, weight_update_time: 0.0736339912, other_time: 3.1877365112
epoch time: 5.4010982513s, input_fired_time: 0.0818654075, output_fired_time: 0.0000000000, propagate_forward_time: 5.0207490921, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2984838486
validation[          , genome  4471] predictions:    9421/  10000 (94.21%), best:    9610/10000 (96.10%), error:      1901.09424, best error:      1285.89319 on epoch:    35, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 71.8443832397s, input_fired_time: 0.6785618067, output_fired_time: 0.7449579239, propagate_forward_time: 28.4371700287, propagate_backward_time: 39.5437660217, weight_update_time: 0.0735382512, other_time: 2.4399299622
epoch time: 5.3989205360s, input_fired_time: 0.0806119740, output_fired_time: 0.0000000000, propagate_forward_time: 5.0199890137, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2983193398
validation[          , genome  4471] predictions:    9609/  10000 (96.09%), best:    9610/10000 (96.10%), error:      1290.94531, best error:      1285.89319 on epoch:    35, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 72.1513977051s, input_fired_time: 0.6825679541, output_fired_time: 0.9980333447, propagate_forward_time: 24.5302982330, propagate_backward_time: 43.2492408752, weight_update_time: 0.3237681389, other_time: 2.6912574768
epoch time: 5.4141602516s, input_fired_time: 0.0814204812, output_fired_time: 0.0000000000, propagate_forward_time: 5.0333790779, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2993607521
validation[          , genome  4471] predictions:    9556/  10000 (95.56%), best:    9610/10000 (96.10%), error:      1478.73389, best error:      1285.89319 on epoch:    35, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 72.4814453125s, input_fired_time: 0.9357203841, output_fired_time: 0.5001333356, propagate_forward_time: 23.6588954926, propagate_backward_time: 45.4334602356, weight_update_time: 0.0745499730, other_time: 1.9532356262
epoch time: 5.6681485176s, input_fired_time: 0.0811311826, output_fired_time: 0.0000000000, propagate_forward_time: 5.0380105972, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5490069389
validation[          , genome  4471] predictions:    9610/  10000 (96.10%), best:    9610/10000 (96.10%), error:      1288.85742, best error:      1285.89319 on epoch:    35, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 72.0342941284s, input_fired_time: 0.6831601262, output_fired_time: 0.7634279728, propagate_forward_time: 24.2879714966, propagate_backward_time: 44.6087188721, weight_update_time: 0.0737389848, other_time: 1.6910171509
epoch time: 5.7534322739s, input_fired_time: 0.0829964206, output_fired_time: 0.0000000000, propagate_forward_time: 5.3656220436, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3048138618
validation[          , genome  4471] predictions:    9553/  10000 (95.53%), best:    9610/10000 (96.10%), error:      1504.88452, best error:      1285.89319 on epoch:    35, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 72.2373809814s, input_fired_time: 0.6845401525, output_fired_time: 0.4980834126, propagate_forward_time: 25.3570728302, propagate_backward_time: 43.0040359497, weight_update_time: 0.0738956630, other_time: 2.6936492920
epoch time: 5.4873237610s, input_fired_time: 0.0827906057, output_fired_time: 0.0000000000, propagate_forward_time: 4.8506188393, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5539145470
validation[          , genome  4471] predictions:    9590/  10000 (95.90%), best:    9610/10000 (96.10%), error:      1398.32092, best error:      1285.89319 on epoch:    35, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 71.9121551514s, input_fired_time: 0.6825431585, output_fired_time: 0.7485017776, propagate_forward_time: 23.3081150055, propagate_backward_time: 44.2322006226, weight_update_time: 0.0736314133, other_time: 2.9407958984
epoch time: 5.7555813789s, input_fired_time: 0.0835309476, output_fired_time: 0.0000000000, propagate_forward_time: 5.1163744926, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5556759834
validation[          , genome  4471] predictions:    9629/  10000 (96.29%), best:    9629/10000 (96.29%), error:      1262.41333, best error:      1262.41333 on epoch:    45, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 69.5098724365s, input_fired_time: 0.6841331124, output_fired_time: 0.7500591874, propagate_forward_time: 25.0872325897, propagate_backward_time: 40.2953071594, weight_update_time: 0.0737512633, other_time: 2.6931343079
epoch time: 4.1467170715s, input_fired_time: 0.0803227425, output_fired_time: 0.0000000000, propagate_forward_time: 3.7696259022, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2967684269
validation[          , genome  4471] predictions:    9586/  10000 (95.86%), best:    9629/10000 (96.29%), error:      1408.94849, best error:      1262.41333 on epoch:    45, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 53.6476287842s, input_fired_time: 0.6776559949, output_fired_time: 0.4937546849, propagate_forward_time: 18.8570327759, propagate_backward_time: 31.9574108124, weight_update_time: 0.0724717602, other_time: 1.6617755890
epoch time: 4.1443853378s, input_fired_time: 0.0813641548, output_fired_time: 0.0000000000, propagate_forward_time: 3.7669234276, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2960977554
validation[          , genome  4471] predictions:    9639/  10000 (96.39%), best:    9639/10000 (96.39%), error:      1242.14832, best error:      1242.14832 on epoch:    47, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 53.6675643921s, input_fired_time: 0.6777445078, output_fired_time: 0.4941424131, propagate_forward_time: 18.8599262238, propagate_backward_time: 31.9733009338, weight_update_time: 0.0725291073, other_time: 1.6624488831
epoch time: 4.1448612213s, input_fired_time: 0.0814209729, output_fired_time: 0.0000000000, propagate_forward_time: 3.7666566372, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2967836857
validation[          , genome  4471] predictions:    9603/  10000 (96.03%), best:    9639/10000 (96.39%), error:      1284.80786, best error:      1242.14832 on epoch:    47, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 53.6536560059s, input_fired_time: 0.6796110868, output_fired_time: 0.4938986897, propagate_forward_time: 18.8633022308, propagate_backward_time: 31.9516315460, weight_update_time: 0.0724886581, other_time: 1.6652126312
epoch time: 4.1447644234s, input_fired_time: 0.0817128494, output_fired_time: 0.0000000000, propagate_forward_time: 3.7667629719, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2962887287
validation[          , genome  4471] predictions:    9621/  10000 (96.21%), best:    9621/10000 (96.21%), error:      1200.55469, best error:      1200.55469 on epoch:    49, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 53.7475280762s, input_fired_time: 0.6803944111, output_fired_time: 0.4949027598, propagate_forward_time: 18.8981761932, propagate_backward_time: 32.0071220398, weight_update_time: 0.0728024766, other_time: 1.6669349670
epoch time: 4.1465945244s, input_fired_time: 0.0812535360, output_fired_time: 0.0000000000, propagate_forward_time: 3.7682225704, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2971184254
validation[          , genome  4471] predictions:    9596/  10000 (95.96%), best:    9621/10000 (96.21%), error:      1327.53040, best error:      1200.55469 on epoch:    49, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 53.6322898865s, input_fired_time: 0.6798732281, output_fired_time: 0.4938208759, propagate_forward_time: 18.8416843414, propagate_backward_time: 31.9568862915, weight_update_time: 0.0724108294, other_time: 1.6600265503
epoch time: 4.1494793892s, input_fired_time: 0.0819483623, output_fired_time: 0.0000000000, propagate_forward_time: 3.7702896595, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2972414494
validation[          , genome  4471] predictions:    9592/  10000 (95.92%), best:    9621/10000 (96.21%), error:      1334.08472, best error:      1200.55469 on epoch:    49, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 53.5599861145s, input_fired_time: 0.6795195341, output_fired_time: 0.4931889176, propagate_forward_time: 18.8330535889, propagate_backward_time: 31.9069499969, weight_update_time: 0.0722101331, other_time: 1.6472721100
epoch time: 4.1442031860s, input_fired_time: 0.0815080181, output_fired_time: 0.0000000000, propagate_forward_time: 3.7672944069, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2954006195
validation[          , genome  4471] predictions:    9582/  10000 (95.82%), best:    9621/10000 (96.21%), error:      1408.53308, best error:      1200.55469 on epoch:    49, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 53.7382774353s, input_fired_time: 0.6811675429, output_fired_time: 0.4953201711, propagate_forward_time: 18.9030342102, propagate_backward_time: 31.9989700317, weight_update_time: 0.0723488703, other_time: 1.6597862244
epoch time: 4.1711769104s, input_fired_time: 0.0824408829, output_fired_time: 0.0000000000, propagate_forward_time: 3.7899348736, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2988011837
validation[          , genome  4471] predictions:    9616/  10000 (96.16%), best:    9621/10000 (96.21%), error:      1242.99304, best error:      1200.55469 on epoch:    49, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 53.6036491394s, input_fired_time: 0.6798555255, output_fired_time: 0.4937655330, propagate_forward_time: 18.8572483063, propagate_backward_time: 31.9197864532, weight_update_time: 0.0723211989, other_time: 1.6529903412
epoch time: 4.2115278244s, input_fired_time: 0.0822698921, output_fired_time: 0.0000000000, propagate_forward_time: 3.8299896717, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2992684841
validation[          , genome  4471] predictions:    9546/  10000 (95.46%), best:    9621/10000 (96.21%), error:      1524.24121, best error:      1200.55469 on epoch:    49, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 53.5972251892s, input_fired_time: 0.6800082922, output_fired_time: 0.4940457046, propagate_forward_time: 18.8382339478, propagate_backward_time: 31.9338703156, weight_update_time: 0.0721374080, other_time: 1.6510677338
epoch time: 4.1424384117s, input_fired_time: 0.0811731964, output_fired_time: 0.0000000000, propagate_forward_time: 3.7656617165, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2956032753
validation[          , genome  4471] predictions:    9615/  10000 (96.15%), best:    9621/10000 (96.21%), error:      1305.14282, best error:      1200.55469 on epoch:    49, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 53.5953407288s, input_fired_time: 0.6807368994, output_fired_time: 0.4937921166, propagate_forward_time: 18.8461799622, propagate_backward_time: 31.9224739075, weight_update_time: 0.0722521320, other_time: 1.6521568298
epoch time: 4.1425013542s, input_fired_time: 0.0812172219, output_fired_time: 0.0000000000, propagate_forward_time: 3.7662160397, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2950680256
validation[          , genome  4471] predictions:    9592/  10000 (95.92%), best:    9621/10000 (96.21%), error:      1353.09045, best error:      1200.55469 on epoch:    49, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 53.5926208496s, input_fired_time: 0.6814583540, output_fired_time: 0.4939565063, propagate_forward_time: 18.8471469879, propagate_backward_time: 31.9163799286, weight_update_time: 0.0723923743, other_time: 1.6536808014
epoch time: 4.1442441940s, input_fired_time: 0.0816175491, output_fired_time: 0.0000000000, propagate_forward_time: 3.7675926685, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2950341702
validation[          , genome  4471] predictions:    9646/  10000 (96.46%), best:    9646/10000 (96.46%), error:      1160.77112, best error:      1160.77112 on epoch:    57, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 53.7001075745s, input_fired_time: 0.6823320985, output_fired_time: 0.4951760769, propagate_forward_time: 18.8796405792, propagate_backward_time: 31.9841957092, weight_update_time: 0.0724113360, other_time: 1.6587638855
epoch time: 4.1513767242s, input_fired_time: 0.0818889737, output_fired_time: 0.0000000000, propagate_forward_time: 3.7731456757, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2963418961
validation[          , genome  4471] predictions:    9619/  10000 (96.19%), best:    9646/10000 (96.46%), error:      1226.19067, best error:      1160.77112 on epoch:    57, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 53.7639007568s, input_fired_time: 0.6815264821, output_fired_time: 0.4952949286, propagate_forward_time: 18.8838539124, propagate_backward_time: 32.0454330444, weight_update_time: 0.0724538565, other_time: 1.6577911377
epoch time: 4.1461706161s, input_fired_time: 0.0801573247, output_fired_time: 0.0000000000, propagate_forward_time: 3.7704887390, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2955245972
validation[          , genome  4471] predictions:    9533/  10000 (95.33%), best:    9646/10000 (96.46%), error:      1477.19727, best error:      1160.77112 on epoch:    57, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 53.6198577881s, input_fired_time: 0.6808105707, output_fired_time: 0.4947982728, propagate_forward_time: 18.8436069489, propagate_backward_time: 31.9486541748, weight_update_time: 0.0722290874, other_time: 1.6519927979
epoch time: 4.1456093788s, input_fired_time: 0.0823984072, output_fired_time: 0.0000000000, propagate_forward_time: 3.7672369480, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2959740162
validation[          , genome  4471] predictions:    9616/  10000 (96.16%), best:    9646/10000 (96.46%), error:      1272.88171, best error:      1160.77112 on epoch:    57, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 53.6346931458s, input_fired_time: 0.6822098494, output_fired_time: 0.4940987527, propagate_forward_time: 18.8602123260, propagate_backward_time: 31.9450721741, weight_update_time: 0.0721189752, other_time: 1.6531028748
epoch time: 4.1425294876s, input_fired_time: 0.0820374563, output_fired_time: 0.0000000000, propagate_forward_time: 3.7651157379, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2953763008
validation[          , genome  4471] predictions:    9621/  10000 (96.21%), best:    9646/10000 (96.46%), error:      1196.16675, best error:      1160.77112 on epoch:    57, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

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_4471.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4471_0_r1926940054_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: 0.969627
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000519724
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.0789e-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: 62
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 57
read number_validation_images: 10000
read best_validation_predictions: 9646
read best_validation_error: 1160.77
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: 4471
read normal distribution: '1 0.340979486703873 -0.784018039703369'
generator_str: '862675792'
read generator: 862675792
read generated_by_map:
1 split_node 1
reading 20 nodes.
reading 36 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: 66.6283264160156s, input_fired_time: 0.766075611114502, output_fired_time: 0.598670125007629, propagate_forward_time: 24.0930824279785, propagate_backward_time: 39.1693000793457, weight_update_time: 0.0860171616077423, other_time: 2.00119781494141
epoch time: 5.11435270309448s, input_fired_time: 0.0928451120853424, output_fired_time: 0, propagate_forward_time: 4.66953945159912, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.351968288421631
validation[          , genome  4471] predictions:    9564/  10000 (95.64%), best:    9646/10000 (96.46%), error:      1403.39001, best error:      1160.77112 on epoch:    57, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 62.0049934387s, input_fired_time: 0.7357164621, output_fired_time: 0.5591879487, propagate_forward_time: 22.1886577606, propagate_backward_time: 36.6228408813, weight_update_time: 0.0811207592, other_time: 1.8985900879
epoch time: 5.5139827728s, input_fired_time: 0.0962402523, output_fired_time: 0.0000000000, propagate_forward_time: 5.0478377342, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3699049950
validation[          , genome  4471] predictions:    9626/  10000 (96.26%), best:    9646/10000 (96.46%), error:      1229.02991, best error:      1160.77112 on epoch:    57, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 65.5388793945s, input_fired_time: 0.7570855021, output_fired_time: 0.5897647142, propagate_forward_time: 23.6763362885, propagate_backward_time: 38.5460815430, weight_update_time: 0.0847833380, other_time: 1.9696044922
epoch time: 4.1563014984s, input_fired_time: 0.0821450800, output_fired_time: 0.0000000000, propagate_forward_time: 3.7672572136, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3068990707
validation[          , genome  4471] predictions:    9638/  10000 (96.38%), best:    9646/10000 (96.46%), error:      1214.62561, best error:      1160.77112 on epoch:    57, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 55.7905387878s, input_fired_time: 0.7005590200, output_fired_time: 0.5117045045, propagate_forward_time: 19.7095527649, propagate_backward_time: 33.1015205383, weight_update_time: 0.0743274242, other_time: 1.7672042847
epoch time: 4.3914756775s, input_fired_time: 0.0839233249, output_fired_time: 0.0000000000, propagate_forward_time: 3.9887244701, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3188278675
validation[          , genome  4471] predictions:    9608/  10000 (96.08%), best:    9646/10000 (96.46%), error:      1309.01379, best error:      1160.77112 on epoch:    57, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 61.1247367859s, input_fired_time: 0.7341974974, output_fired_time: 0.5547244549, propagate_forward_time: 21.8904781342, propagate_backward_time: 36.0579490662, weight_update_time: 0.0802002549, other_time: 1.8873863220
epoch time: 5.6076793671s, input_fired_time: 0.0976692364, output_fired_time: 0.0000000000, propagate_forward_time: 5.1358900070, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3741202354
validation[          , genome  4471] predictions:    9596/  10000 (95.96%), best:    9646/10000 (96.46%), error:      1287.72363, best error:      1160.77112 on epoch:    57, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 57.5984382629s, input_fired_time: 0.7110026479, output_fired_time: 0.5255683064, propagate_forward_time: 20.3857536316, propagate_backward_time: 34.1700859070, weight_update_time: 0.0762736425, other_time: 1.8060264587
epoch time: 4.1574387550s, input_fired_time: 0.0836662650, output_fired_time: 0.0000000000, propagate_forward_time: 3.7660844326, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3076879978
validation[          , genome  4471] predictions:    9600/  10000 (96.00%), best:    9646/10000 (96.46%), error:      1306.29041, best error:      1160.77112 on epoch:    57, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 61.9860267639s, input_fired_time: 0.7394079566, output_fired_time: 0.5628113747, propagate_forward_time: 22.2184715271, propagate_backward_time: 36.5765724182, weight_update_time: 0.0807107091, other_time: 1.8887634277
epoch time: 4.8080229759s, input_fired_time: 0.0890116617, output_fired_time: 0.0000000000, propagate_forward_time: 4.3818645477, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3371467590
validation[          , genome  4471] predictions:    9626/  10000 (96.26%), best:    9646/10000 (96.46%), error:      1210.89795, best error:      1160.77112 on epoch:    57, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 61.8097534180s, input_fired_time: 0.7392429709, output_fired_time: 0.5595572591, propagate_forward_time: 22.1442699432, propagate_backward_time: 36.4727020264, weight_update_time: 0.0811883807, other_time: 1.8939819336
epoch time: 5.5542445183s, input_fired_time: 0.0976615995, output_fired_time: 0.0000000000, propagate_forward_time: 5.0879278183, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3686552048
validation[          , genome  4471] predictions:    9637/  10000 (96.37%), best:    9646/10000 (96.46%), error:      1191.78064, best error:      1160.77112 on epoch:    57, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 60.6027641296s, input_fired_time: 0.7306541800, output_fired_time: 0.5504586101, propagate_forward_time: 21.6789264679, propagate_backward_time: 35.7692604065, weight_update_time: 0.0796713233, other_time: 1.8734626770
epoch time: 5.3116927147s, input_fired_time: 0.0947231576, output_fired_time: 0.0000000000, propagate_forward_time: 4.8537182808, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3632512093
validation[          , genome  4471] predictions:    9585/  10000 (95.85%), best:    9646/10000 (96.46%), error:      1347.81531, best error:      1160.77112 on epoch:    57, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 61.8468894958s, input_fired_time: 0.7420454025, output_fired_time: 0.5599877834, propagate_forward_time: 22.1629257202, propagate_backward_time: 36.4539871216, weight_update_time: 0.0809713528, other_time: 1.9279441833
epoch time: 5.4774875641s, input_fired_time: 0.0963267758, output_fired_time: 0.0000000000, propagate_forward_time: 5.0127506256, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3684101105
validation[          , genome  4471] predictions:    9577/  10000 (95.77%), best:    9646/10000 (96.46%), error:      1376.51526, best error:      1160.77112 on epoch:    57, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 56.9272499084s, input_fired_time: 0.7082399130, output_fired_time: 0.5203660131, propagate_forward_time: 20.1524906158, propagate_backward_time: 33.7560119629, weight_update_time: 0.0754963383, other_time: 1.7901382446
epoch time: 4.2048892975s, input_fired_time: 0.0837978795, output_fired_time: 0.0000000000, propagate_forward_time: 3.8099746704, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3111166954
validation[          , genome  4471] predictions:    9602/  10000 (96.02%), best:    9646/10000 (96.46%), error:      1308.12219, best error:      1160.77112 on epoch:    57, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 98.3976364136s, input_fired_time: 2.0653755665, output_fired_time: 0.9099480510, propagate_forward_time: 34.4151878357, propagate_backward_time: 57.8439102173, weight_update_time: 0.0948273093, other_time: 3.1632118225
epoch time: 6.9166378975s, input_fired_time: 0.0938747749, output_fired_time: 0.0000000000, propagate_forward_time: 5.7136554718, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1091074944
validation[          , genome  4471] predictions:    9637/  10000 (96.37%), best:    9646/10000 (96.46%), error:      1169.78650, best error:      1160.77112 on epoch:    57, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 102.0618972778s, input_fired_time: 1.0812883377, output_fired_time: 0.6763523221, propagate_forward_time: 38.6318588257, propagate_backward_time: 59.2049140930, weight_update_time: 0.0976039544, other_time: 2.4674797058
epoch time: 8.0053796768s, input_fired_time: 0.1037883461, output_fired_time: 0.0000000000, propagate_forward_time: 7.2564063072, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6451849937
validation[          , genome  4471] predictions:    9657/  10000 (96.57%), best:    9657/10000 (96.57%), error:      1115.96985, best error:      1115.96985 on epoch:    74, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 105.8779373169s, input_fired_time: 1.0988489389, output_fired_time: 1.2001338005, propagate_forward_time: 39.0392951965, propagate_backward_time: 61.2600326538, weight_update_time: 0.1005946100, other_time: 3.2796249390
epoch time: 7.1441965103s, input_fired_time: 0.0962125883, output_fired_time: 0.0000000000, propagate_forward_time: 6.6794590950, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3685250282
validation[          , genome  4471] predictions:    9617/  10000 (96.17%), best:    9657/10000 (96.57%), error:      1238.28174, best error:      1115.96985 on epoch:    74, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 104.9680633545s, input_fired_time: 1.0933409929, output_fired_time: 0.6941673756, propagate_forward_time: 38.7388153076, propagate_backward_time: 61.4294967651, weight_update_time: 0.0994717553, other_time: 3.0122451782
epoch time: 7.7542958260s, input_fired_time: 0.1000106931, output_fired_time: 0.0000000000, propagate_forward_time: 7.2714633942, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3828215599
validation[          , genome  4471] predictions:    9634/  10000 (96.34%), best:    9657/10000 (96.57%), error:      1209.75549, best error:      1115.96985 on epoch:    74, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 108.3136978149s, input_fired_time: 1.3583060503, output_fired_time: 0.7152538896, propagate_forward_time: 39.8416290283, propagate_backward_time: 63.3344497681, weight_update_time: 0.6024358869, other_time: 3.0640563965
epoch time: 8.0476074219s, input_fired_time: 0.1035768613, output_fired_time: 0.0000000000, propagate_forward_time: 7.2981801033, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6458506584
validation[          , genome  4471] predictions:    9640/  10000 (96.40%), best:    9657/10000 (96.57%), error:      1204.74243, best error:      1115.96985 on epoch:    74, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 94.2984924316s, input_fired_time: 1.5461893082, output_fired_time: 0.6305469871, propagate_forward_time: 33.7781295776, propagate_backward_time: 55.9964408875, weight_update_time: 0.0909908414, other_time: 2.3471870422
epoch time: 8.1621303558s, input_fired_time: 0.1052199081, output_fired_time: 0.0000000000, propagate_forward_time: 7.1550664902, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9018440247
validation[          , genome  4471] predictions:    9620/  10000 (96.20%), best:    9657/10000 (96.57%), error:      1256.22400, best error:      1115.96985 on epoch:    74, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 99.0613937378s, input_fired_time: 0.8182035089, output_fired_time: 1.6594238281, propagate_forward_time: 36.2224731445, propagate_backward_time: 57.1843986511, weight_update_time: 0.0953321680, other_time: 3.1768913269
epoch time: 7.9150986671s, input_fired_time: 0.1027438194, output_fired_time: 0.0000000000, propagate_forward_time: 6.9199914932, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8923635483
validation[          , genome  4471] predictions:    9605/  10000 (96.05%), best:    9657/10000 (96.57%), error:      1244.33862, best error:      1115.96985 on epoch:    74, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 101.4395523071s, input_fired_time: 1.0806801319, output_fired_time: 0.9239783883, propagate_forward_time: 38.5111045837, propagate_backward_time: 58.2131958008, weight_update_time: 0.0970530286, other_time: 2.7105903625
epoch time: 8.8213462830s, input_fired_time: 0.1102350652, output_fired_time: 0.0000000000, propagate_forward_time: 8.2897567749, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4213542938
validation[          , genome  4471] predictions:    9644/  10000 (96.44%), best:    9657/10000 (96.57%), error:      1198.53613, best error:      1115.96985 on epoch:    74, 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_44_4471.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4471_0_r1926940054_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: 74
read number_validation_images: 10000
read best_validation_predictions: 9657
read best_validation_error: 1115.97
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: 4471
read normal distribution: '1 0.340979486703873 -0.784018039703369'
generator_str: '9685133'
read generator: 9685133
read generated_by_map:
1 split_node 1
reading 20 nodes.
reading 36 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: 175.295043945313s, input_fired_time: 1.22800803184509, output_fired_time: 1.97362017631531, propagate_forward_time: 67.2453231811523, propagate_backward_time: 100.805137634277, weight_update_time: 0.182791203260422, other_time: 4.04295349121094
epoch time: 13.4496622085571s, input_fired_time: 0.438219487667084, output_fired_time: 0, propagate_forward_time: 12.1622838973999, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.849159240722656
validation[          , genome  4471] predictions:    9628/  10000 (96.28%), best:    9657/10000 (96.57%), error:      1203.01599, best error:      1115.96985 on epoch:    74, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 161.6143798828s, input_fired_time: 1.6771835089, output_fired_time: 1.3078993559, propagate_forward_time: 62.8970718384, propagate_backward_time: 91.9963684082, weight_update_time: 0.1673035324, other_time: 3.7358627319
epoch time: 13.1655206680s, input_fired_time: 0.2196575552, output_fired_time: 0.0000000000, propagate_forward_time: 12.4081115723, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5377511978
validation[          , genome  4471] predictions:    9631/  10000 (96.31%), best:    9657/10000 (96.57%), error:      1206.13562, best error:      1115.96985 on epoch:    74, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 98.0604095459s, input_fired_time: 1.0063360929, output_fired_time: 1.1863975525, propagate_forward_time: 36.2279167175, propagate_backward_time: 56.8161201477, weight_update_time: 0.1078868434, other_time: 2.8236389160
epoch time: 7.7475824356s, input_fired_time: 0.1192114204, output_fired_time: 0.0000000000, propagate_forward_time: 7.1824674606, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4459037781
validation[          , genome  4471] predictions:    9612/  10000 (96.12%), best:    9657/10000 (96.57%), error:      1236.22815, best error:      1115.96985 on epoch:    74, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 94.6537780762s, input_fired_time: 0.9737211466, output_fired_time: 0.7590278983, propagate_forward_time: 35.4714241028, propagate_backward_time: 54.8565292358, weight_update_time: 0.1074690744, other_time: 2.5930747986
epoch time: 8.4094877243s, input_fired_time: 0.1434135735, output_fired_time: 0.0000000000, propagate_forward_time: 7.7395176888, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5265564919
validation[          , genome  4471] predictions:    9650/  10000 (96.50%), best:    9657/10000 (96.57%), error:      1146.27112, best error:      1115.96985 on epoch:    74, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 98.1637344360s, input_fired_time: 0.9325274825, output_fired_time: 0.8714922667, propagate_forward_time: 36.6686096191, propagate_backward_time: 56.8787307739, weight_update_time: 0.1105006859, other_time: 2.8123779297
epoch time: 9.3874559402s, input_fired_time: 0.1189784855, output_fired_time: 0.0000000000, propagate_forward_time: 8.7323389053, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5361385345
validation[          , genome  4471] predictions:    9628/  10000 (96.28%), best:    9657/10000 (96.57%), error:      1197.03540, best error:      1115.96985 on epoch:    74, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 99.6542205811s, input_fired_time: 0.9857765436, output_fired_time: 0.8532103300, propagate_forward_time: 37.1649665833, propagate_backward_time: 57.9708328247, weight_update_time: 0.1114980131, other_time: 2.6794319153
epoch time: 8.0000820160s, input_fired_time: 0.1180839986, output_fired_time: 0.0000000000, propagate_forward_time: 7.4062461853, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4757518768
validation[          , genome  4471] predictions:    9613/  10000 (96.13%), best:    9657/10000 (96.57%), error:      1263.17249, best error:      1115.96985 on epoch:    74, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 98.0654830933s, input_fired_time: 0.9689356089, output_fired_time: 0.8967624903, propagate_forward_time: 36.6845664978, propagate_backward_time: 56.8841667175, weight_update_time: 0.1277359426, other_time: 2.6310577393
epoch time: 7.6186747551s, input_fired_time: 0.1216895282, output_fired_time: 0.0000000000, propagate_forward_time: 7.0423579216, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4546275139
validation[          , genome  4471] predictions:    9623/  10000 (96.23%), best:    9657/10000 (96.57%), error:      1213.23865, best error:      1115.96985 on epoch:    74, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 94.5109176636s, input_fired_time: 0.9377072453, output_fired_time: 0.8131399155, propagate_forward_time: 35.7218856812, propagate_backward_time: 54.4755935669, weight_update_time: 0.1089067459, other_time: 2.5625915527
epoch time: 8.7569093704s, input_fired_time: 0.1603965461, output_fired_time: 0.0000000000, propagate_forward_time: 8.1798028946, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4167098999
validation[          , genome  4471] predictions:    9617/  10000 (96.17%), best:    9657/10000 (96.57%), error:      1207.70691, best error:      1115.96985 on epoch:    74, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 101.6262359619s, input_fired_time: 1.0256375074, output_fired_time: 0.8690800667, propagate_forward_time: 38.1159591675, propagate_backward_time: 58.9289817810, weight_update_time: 0.1103833690, other_time: 2.6865806580
epoch time: 7.8398814201s, input_fired_time: 0.1217294857, output_fired_time: 0.0000000000, propagate_forward_time: 7.2630262375, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4551258087
validation[          , genome  4471] predictions:    9575/  10000 (95.75%), best:    9657/10000 (96.57%), error:      1373.08826, best error:      1115.96985 on epoch:    74, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 98.2740325928s, input_fired_time: 0.9879235625, output_fired_time: 0.8955762982, propagate_forward_time: 36.7039070129, propagate_backward_time: 56.9857864380, weight_update_time: 0.1096000448, other_time: 2.7008399963
epoch time: 7.9626741409s, input_fired_time: 0.1429138929, output_fired_time: 0.0000000000, propagate_forward_time: 7.3618459702, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4579143524
validation[          , genome  4471] predictions:    9647/  10000 (96.47%), best:    9657/10000 (96.57%), error:      1144.17297, best error:      1115.96985 on epoch:    74, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 91.5554580688s, input_fired_time: 0.9205809832, output_fired_time: 0.8059619069, propagate_forward_time: 33.8789749146, propagate_backward_time: 53.3952484131, weight_update_time: 0.1369315386, other_time: 2.5546951294
epoch time: 7.0184535980s, input_fired_time: 0.1257467121, output_fired_time: 0.0000000000, propagate_forward_time: 6.4549574852, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4377493858
validation[          , genome  4471] predictions:    9617/  10000 (96.17%), best:    9657/10000 (96.57%), error:      1320.22913, best error:      1115.96985 on epoch:    74, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 87.2263183594s, input_fired_time: 0.8771533966, output_fired_time: 0.7596976757, propagate_forward_time: 32.5537986755, propagate_backward_time: 50.7267646790, weight_update_time: 0.1042792425, other_time: 2.3089065552
epoch time: 7.3612308502s, input_fired_time: 0.1167568341, output_fired_time: 0.0000000000, propagate_forward_time: 6.8144769669, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4299969673
validation[          , genome  4471] predictions:    9641/  10000 (96.41%), best:    9657/10000 (96.57%), error:      1163.32458, best error:      1115.96985 on epoch:    74, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 91.6755065918s, input_fired_time: 1.0023577213, output_fired_time: 0.8256671429, propagate_forward_time: 34.0485305786, propagate_backward_time: 53.3521080017, weight_update_time: 0.1034467295, other_time: 2.4468421936
epoch time: 7.8132810593s, input_fired_time: 0.1188550517, output_fired_time: 0.0000000000, propagate_forward_time: 7.2541580200, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4402680397
validation[          , genome  4471] predictions:    9645/  10000 (96.45%), best:    9657/10000 (96.57%), error:      1130.77368, best error:      1115.96985 on epoch:    74, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 88.4868850708s, input_fired_time: 0.9706537127, output_fired_time: 0.7566099763, propagate_forward_time: 32.7915649414, propagate_backward_time: 51.5382766724, weight_update_time: 0.1033381596, other_time: 2.4297790527
epoch time: 7.2214784622s, input_fired_time: 0.1152315512, output_fired_time: 0.0000000000, propagate_forward_time: 6.6815938950, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4246530533
validation[          , genome  4471] predictions:    9574/  10000 (95.74%), best:    9657/10000 (96.57%), error:      1345.27173, best error:      1115.96985 on epoch:    74, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 88.3098373413s, input_fired_time: 0.9654882550, output_fired_time: 0.7473000288, propagate_forward_time: 33.0221290588, propagate_backward_time: 51.1057395935, weight_update_time: 0.1022194177, other_time: 2.4691848755
epoch time: 7.0665278435s, input_fired_time: 0.1131609678, output_fired_time: 0.0000000000, propagate_forward_time: 6.5421714783, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4111952782
validation[          , genome  4471] predictions:    9617/  10000 (96.17%), best:    9657/10000 (96.57%), error:      1216.63196, best error:      1115.96985 on epoch:    74, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 86.0080871582s, input_fired_time: 0.8906841278, output_fired_time: 0.7376675010, propagate_forward_time: 31.9192848206, propagate_backward_time: 49.9886970520, weight_update_time: 0.1343591362, other_time: 2.4717483521
epoch time: 6.7246766090s, input_fired_time: 0.1256084889, output_fired_time: 0.0000000000, propagate_forward_time: 6.1656174660, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4334506989
validation[          , genome  4471] predictions:    9642/  10000 (96.42%), best:    9657/10000 (96.57%), error:      1136.19714, best error:      1115.96985 on epoch:    74, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 87.7222747803s, input_fired_time: 0.8897374868, output_fired_time: 0.7244024873, propagate_forward_time: 32.4469604492, propagate_backward_time: 51.1599922180, weight_update_time: 0.1031656340, other_time: 2.5011787415
epoch time: 6.9292407036s, input_fired_time: 0.1111974418, output_fired_time: 0.0000000000, propagate_forward_time: 6.3966927528, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4213504791
validation[          , genome  4471] predictions:    9646/  10000 (96.46%), best:    9657/10000 (96.57%), error:      1146.66797, best error:      1115.96985 on epoch:    74, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 86.9296112061s, input_fired_time: 0.9371386170, output_fired_time: 0.7548409104, propagate_forward_time: 32.1411552429, propagate_backward_time: 50.7205963135, weight_update_time: 0.1186964065, other_time: 2.3758735657
epoch time: 6.8177084923s, input_fired_time: 0.1423552483, output_fired_time: 0.0000000000, propagate_forward_time: 6.2698192596, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4055337906
validation[          , genome  4471] predictions:    9652/  10000 (96.52%), best:    9657/10000 (96.57%), error:      1141.73462, best error:      1115.96985 on epoch:    74, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 126.4105224609s, input_fired_time: 1.0296523571, output_fired_time: 1.3219949007, propagate_forward_time: 48.3661956787, propagate_backward_time: 72.1310806274, weight_update_time: 0.3660350144, other_time: 3.5615921021
epoch time: 11.5417146683s, input_fired_time: 0.1275689602, output_fired_time: 0.0000000000, propagate_forward_time: 10.8945093155, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5196361542
validation[          , genome  4471] predictions:    9641/  10000 (96.41%), best:    9657/10000 (96.57%), error:      1201.64575, best error:      1115.96985 on epoch:    74, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 139.6192474365s, input_fired_time: 1.3035380840, output_fired_time: 1.4297930002, propagate_forward_time: 53.5696525574, propagate_backward_time: 79.5973815918, weight_update_time: 0.1200762242, other_time: 3.7188720703
epoch time: 12.1341705322s, input_fired_time: 0.4082537591, output_fired_time: 0.0000000000, propagate_forward_time: 10.9548759460, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7710409164
validation[          , genome  4471] predictions:    9648/  10000 (96.48%), best:    9657/10000 (96.57%), error:      1142.88770, best error:      1115.96985 on epoch:    74, 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: 60.1955757141s, input_fired_time: 1.2591278553, output_fired_time: 0.0000000000, propagate_forward_time: 55.4397964478, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4966506958
best training[          , genome  4471] predictions:   48939/  50000 (97.88%), best:    9657/10000 (96.57%), error:      3815.91992, best error:      1115.96985 on epoch:    74, 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: 12.8860940933s, input_fired_time: 0.1253975481, output_fired_time: 0.0000000000, propagate_forward_time: 12.0986928940, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6620035172
   testing[          , genome  4471] predictions:    9686/  10000 (96.86%), best:    9657/10000 (96.57%), error:      1036.74988, best error:      1115.96985 on epoch:    74, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
00:12:30 (10328): called boinc_finish(0)

</stderr_txt>
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