Nameexact_genome_1512568488_43_6692_1
Workunit2604758
Created7 Dec 2017, 21:20:07 UTC
Sent7 Dec 2017, 21:28:33 UTC
Report deadline15 Dec 2017, 21:48:06 UTC
Received8 Dec 2017, 2:23:43 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID62687
Run time1 hours 50 min 18 sec
CPU time1 hours 45 min 38 sec
Validate stateValid
Credit2,003.40
Device peak FLOPS4.32 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size154.86 MB
Peak swap size157.86 MB
Peak disk usage1.82 MB

Stderr output

<core_client_version>7.6.33</core_client_version>
<![CDATA[
<stderr_txt>
00000000, other_time: 0.5301828384
validation[          , genome  6692] predictions:    9712/  10000 (97.12%), best:    9712/10000 (97.12%), error:       949.47675, best error:       949.47675 on epoch:    20, epoch:   20/100, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 61.8367958069s, input_fired_time: 1.1658672094, output_fired_time: 0.8742342591, propagate_forward_time: 21.6532821655, propagate_backward_time: 35.0384826660, weight_update_time: 0.1574951112, other_time: 3.1049308777
epoch time: 5.0705327988s, input_fired_time: 0.1602392793, output_fired_time: 0.0000000000, propagate_forward_time: 4.3721957207, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5380978584
validation[          , genome  6692] predictions:    9682/  10000 (96.82%), best:    9712/10000 (97.12%), error:      1042.39124, best error:       949.47675 on epoch:    20, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 61.0182685852s, input_fired_time: 1.1285603046, output_fired_time: 0.8332737684, propagate_forward_time: 21.4202938080, propagate_backward_time: 34.4816818237, weight_update_time: 0.1680957079, other_time: 3.1544570923
epoch time: 4.9398574829s, input_fired_time: 0.1500959098, output_fired_time: 0.0000000000, propagate_forward_time: 4.2588887215, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5308728218
validation[          , genome  6692] predictions:    9714/  10000 (97.14%), best:    9712/10000 (97.12%), error:       954.01526, best error:       949.47675 on epoch:    20, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 60.8594093323s, input_fired_time: 1.1323850155, output_fired_time: 0.8463667631, propagate_forward_time: 21.3697357178, propagate_backward_time: 34.3851928711, weight_update_time: 0.1664553583, other_time: 3.1257286072
epoch time: 4.9985322952s, input_fired_time: 0.1520631164, output_fired_time: 0.0000000000, propagate_forward_time: 4.3012280464, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5452413559
validation[          , genome  6692] predictions:    9652/  10000 (96.52%), best:    9712/10000 (97.12%), error:      1193.83167, best error:       949.47675 on epoch:    20, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 60.9333763123s, input_fired_time: 1.1450377703, output_fired_time: 0.8157429099, propagate_forward_time: 21.4125576019, propagate_backward_time: 34.4128150940, weight_update_time: 0.1659218669, other_time: 3.1472206116
epoch time: 4.9707260132s, input_fired_time: 0.1567682624, output_fired_time: 0.0000000000, propagate_forward_time: 4.2864308357, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5275268555
validation[          , genome  6692] predictions:    9723/  10000 (97.23%), best:    9723/10000 (97.23%), error:       930.39471, best error:       930.39471 on epoch:    24, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 60.8164710999s, input_fired_time: 1.1201790571, output_fired_time: 0.8714040518, propagate_forward_time: 21.3602294922, propagate_backward_time: 34.3495864868, weight_update_time: 0.1692081243, other_time: 3.1150741577
epoch time: 4.9415831566s, input_fired_time: 0.1545217484, output_fired_time: 0.0000000000, propagate_forward_time: 4.2613673210, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5256938934
validation[          , genome  6692] predictions:    9678/  10000 (96.78%), best:    9723/10000 (97.23%), error:      1033.00354, best error:       930.39471 on epoch:    24, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 60.8729476929s, input_fired_time: 1.1336146593, output_fired_time: 0.8416629434, propagate_forward_time: 21.3935546875, propagate_backward_time: 34.3379859924, weight_update_time: 0.1601673663, other_time: 3.1661300659
epoch time: 4.9322471619s, input_fired_time: 0.1493805945, output_fired_time: 0.0000000000, propagate_forward_time: 4.2549037933, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5279626846
validation[          , genome  6692] predictions:    9666/  10000 (96.66%), best:    9723/10000 (97.23%), error:      1158.15015, best error:       930.39471 on epoch:    24, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 60.8972320557s, input_fired_time: 1.1392483711, output_fired_time: 0.8478431106, propagate_forward_time: 21.3807201385, propagate_backward_time: 34.3467636108, weight_update_time: 0.1679858267, other_time: 3.1826553345
epoch time: 4.9669656754s, input_fired_time: 0.1560201943, output_fired_time: 0.0000000000, propagate_forward_time: 4.2843756676, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5265698433
validation[          , genome  6692] predictions:    9716/  10000 (97.16%), best:    9723/10000 (97.23%), error:       946.41553, best error:       930.39471 on epoch:    24, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 60.8867187500s, input_fired_time: 1.1411412954, output_fired_time: 0.8292670250, propagate_forward_time: 21.3984775543, propagate_backward_time: 34.3580665588, weight_update_time: 0.1652385741, other_time: 3.1597709656
epoch time: 4.9588785172s, input_fired_time: 0.1517928541, output_fired_time: 0.0000000000, propagate_forward_time: 4.2688722610, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5382132530
validation[          , genome  6692] predictions:    9720/  10000 (97.20%), best:    9720/10000 (97.20%), error:       929.95117, best error:       929.95117 on epoch:    28, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 61.0767021179s, input_fired_time: 1.1317001581, output_fired_time: 0.8342934251, propagate_forward_time: 21.4397144318, propagate_backward_time: 34.5131263733, weight_update_time: 0.1673793793, other_time: 3.1578712463
epoch time: 4.9714288712s, input_fired_time: 0.1522917151, output_fired_time: 0.0000000000, propagate_forward_time: 4.2988448143, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5202922821
validation[          , genome  6692] predictions:    9729/  10000 (97.29%), best:    9729/10000 (97.29%), error:       903.96960, best error:       903.96960 on epoch:    29, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 60.7913475037s, input_fired_time: 1.1225461960, output_fired_time: 0.8278384209, propagate_forward_time: 21.3950462341, propagate_backward_time: 34.3156776428, weight_update_time: 0.1639457047, other_time: 3.1302375793
epoch time: 4.9738440514s, input_fired_time: 0.1534185410, output_fired_time: 0.0000000000, propagate_forward_time: 4.2863178253, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5341076851
validation[          , genome  6692] predictions:    9717/  10000 (97.17%), best:    9729/10000 (97.29%), error:      1049.36023, best error:       903.96960 on epoch:    29, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 60.8795700073s, input_fired_time: 1.1479458809, output_fired_time: 0.8446806073, propagate_forward_time: 21.3960342407, propagate_backward_time: 34.3929290771, weight_update_time: 0.1607661098, other_time: 3.0979804993
epoch time: 4.9488568306s, input_fired_time: 0.1599608958, output_fired_time: 0.0000000000, propagate_forward_time: 4.2625370026, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5263590813
validation[          , genome  6692] predictions:    9735/  10000 (97.35%), best:    9735/10000 (97.35%), error:       870.60651, best error:       870.60651 on epoch:    31, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 60.8841438293s, input_fired_time: 1.1268508434, output_fired_time: 0.8404875398, propagate_forward_time: 21.4108028412, propagate_backward_time: 34.3693809509, weight_update_time: 0.1647726744, other_time: 3.1366233826
epoch time: 4.9758801460s, input_fired_time: 0.1521897167, output_fired_time: 0.0000000000, propagate_forward_time: 4.2970504761, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5266399384
validation[          , genome  6692] predictions:    9729/  10000 (97.29%), best:    9735/10000 (97.35%), error:       906.80988, best error:       870.60651 on epoch:    31, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 60.7025833130s, input_fired_time: 1.1340323687, output_fired_time: 0.8465558887, propagate_forward_time: 21.4217147827, propagate_backward_time: 34.2359504700, weight_update_time: 0.1573974788, other_time: 3.0643272400
epoch time: 4.9685125351s, input_fired_time: 0.1549609601, output_fired_time: 0.0000000000, propagate_forward_time: 4.2799859047, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5335655212
validation[          , genome  6692] predictions:    9719/  10000 (97.19%), best:    9735/10000 (97.35%), error:       915.32513, best error:       870.60651 on epoch:    31, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 60.9766616821s, input_fired_time: 1.1350691319, output_fired_time: 0.8412350416, propagate_forward_time: 21.4820613861, propagate_backward_time: 34.3448295593, weight_update_time: 0.1626870185, other_time: 3.1734657288
epoch time: 4.9352140427s, input_fired_time: 0.1536291838, output_fired_time: 0.0000000000, propagate_forward_time: 4.2584552765, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5231294632
validation[          , genome  6692] predictions:    9728/  10000 (97.28%), best:    9735/10000 (97.35%), error:       916.81555, best error:       870.60651 on epoch:    31, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 60.9082984924s, input_fired_time: 1.1277718544, output_fired_time: 0.8221566081, propagate_forward_time: 21.4111614227, propagate_backward_time: 34.3698348999, weight_update_time: 0.1654049456, other_time: 3.1773757935
epoch time: 4.9733638763s, input_fired_time: 0.1550520509, output_fired_time: 0.0000000000, propagate_forward_time: 4.2767877579, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5415239334
validation[          , genome  6692] predictions:    9736/  10000 (97.36%), best:    9735/10000 (97.35%), error:       896.99591, best error:       870.60651 on epoch:    31, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 60.8327713013s, input_fired_time: 1.1372706890, output_fired_time: 0.8504331112, propagate_forward_time: 21.3887805939, propagate_backward_time: 34.3198509216, weight_update_time: 0.1666127443, other_time: 3.1364326477
epoch time: 4.9758334160s, input_fired_time: 0.1563922018, output_fired_time: 0.0000000000, propagate_forward_time: 4.2846493721, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5347919464
validation[          , genome  6692] predictions:    9721/  10000 (97.21%), best:    9735/10000 (97.35%), error:       925.18286, best error:       870.60651 on epoch:    31, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 61.0174255371s, input_fired_time: 1.1365940571, output_fired_time: 0.8635631800, propagate_forward_time: 21.4249496460, propagate_backward_time: 34.4847946167, weight_update_time: 0.1603294462, other_time: 3.1075248718
epoch time: 4.9282989502s, input_fired_time: 0.1521297246, output_fired_time: 0.0000000000, propagate_forward_time: 4.2468199730, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5293493271
validation[          , genome  6692] predictions:    9737/  10000 (97.37%), best:    9735/10000 (97.35%), error:       914.33887, best error:       870.60651 on epoch:    31, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 60.8893852234s, input_fired_time: 1.1379582882, output_fired_time: 0.8582113385, propagate_forward_time: 21.4308071136, propagate_backward_time: 34.3447227478, weight_update_time: 0.1674019396, other_time: 3.1176872253
epoch time: 4.9837141037s, input_fired_time: 0.1536129564, output_fired_time: 0.0000000000, propagate_forward_time: 4.2919254303, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5381755829
validation[          , genome  6692] predictions:    9697/  10000 (96.97%), best:    9735/10000 (97.35%), error:       997.59686, best error:       870.60651 on epoch:    31, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 60.9499053955s, input_fired_time: 1.1350554228, output_fired_time: 0.8646466136, propagate_forward_time: 21.4297351837, propagate_backward_time: 34.3913421631, weight_update_time: 0.1609412581, other_time: 3.1291275024
epoch time: 5.0220561028s, input_fired_time: 0.1533060074, output_fired_time: 0.0000000000, propagate_forward_time: 4.3273549080, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5413951874
validation[          , genome  6692] predictions:    9686/  10000 (96.86%), best:    9735/10000 (97.35%), error:      1035.58044, best error:       870.60651 on epoch:    31, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 60.8428077698s, input_fired_time: 1.1381577253, output_fired_time: 0.8408128023, propagate_forward_time: 21.3739433289, propagate_backward_time: 34.2961235046, weight_update_time: 0.1672042161, other_time: 3.1937713623
epoch time: 4.9826917648s, input_fired_time: 0.1546007842, output_fired_time: 0.0000000000, propagate_forward_time: 4.2888250351, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5392661095
validation[          , genome  6692] predictions:    9735/  10000 (97.35%), best:    9735/10000 (97.35%), error:       868.36444, best error:       868.36444 on epoch:    40, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 60.8117179871s, input_fired_time: 1.1423985958, output_fired_time: 0.8549837470, propagate_forward_time: 21.3605594635, propagate_backward_time: 34.3094787598, weight_update_time: 0.1618758887, other_time: 3.1442947388
epoch time: 4.9604721069s, input_fired_time: 0.1564578861, output_fired_time: 0.0000000000, propagate_forward_time: 4.2749414444, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5290727615
validation[          , genome  6692] predictions:    9727/  10000 (97.27%), best:    9735/10000 (97.35%), error:       930.99890, best error:       868.36444 on epoch:    40, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 60.8501853943s, input_fired_time: 1.1368920803, output_fired_time: 0.8519698977, propagate_forward_time: 21.4711666107, propagate_backward_time: 34.2568778992, weight_update_time: 0.1627261937, other_time: 3.1332817078
epoch time: 4.9937925339s, input_fired_time: 0.1594091505, output_fired_time: 0.0000000000, propagate_forward_time: 4.2967987061, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5375847816
validation[          , genome  6692] predictions:    9743/  10000 (97.43%), best:    9743/10000 (97.43%), error:       859.69623, best error:       859.69623 on epoch:    42, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 60.8683013916s, input_fired_time: 1.1461915970, output_fired_time: 0.8608888984, propagate_forward_time: 21.3499927521, propagate_backward_time: 34.4323196411, weight_update_time: 0.1574500203, other_time: 3.0789108276
epoch time: 4.9816470146s, input_fired_time: 0.1528341472, output_fired_time: 0.0000000000, propagate_forward_time: 4.2843203545, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5444927216
validation[          , genome  6692] predictions:    9694/  10000 (96.94%), best:    9743/10000 (97.43%), error:      1014.50531, best error:       859.69623 on epoch:    42, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 60.8450965881s, input_fired_time: 1.1289119720, output_fired_time: 0.8407577276, propagate_forward_time: 21.4307460785, propagate_backward_time: 34.3572998047, weight_update_time: 0.1648402363, other_time: 3.0873794556
epoch time: 4.9532074928s, input_fired_time: 0.1547385156, output_fired_time: 0.0000000000, propagate_forward_time: 4.2722420692, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5262269974
validation[          , genome  6692] predictions:    9692/  10000 (96.92%), best:    9743/10000 (97.43%), error:      1001.10541, best error:       859.69623 on epoch:    42, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 60.8380012512s, input_fired_time: 1.1345123053, output_fired_time: 0.8480904102, propagate_forward_time: 21.4293804169, propagate_backward_time: 34.3033485413, weight_update_time: 0.1650044322, other_time: 3.1226692200
epoch time: 4.9568986893s, input_fired_time: 0.1549640000, output_fired_time: 0.0000000000, propagate_forward_time: 4.2657594681, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5361752510
validation[          , genome  6692] predictions:    9729/  10000 (97.29%), best:    9743/10000 (97.43%), error:       961.66144, best error:       859.69623 on epoch:    42, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 60.8030738831s, input_fired_time: 1.1323429346, output_fired_time: 0.8524129391, propagate_forward_time: 21.3918571472, propagate_backward_time: 34.2597465515, weight_update_time: 0.1709343493, other_time: 3.1667137146
epoch time: 4.9767618179s, input_fired_time: 0.1535077691, output_fired_time: 0.0000000000, propagate_forward_time: 4.2777595520, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5454945564
validation[          , genome  6692] predictions:    9757/  10000 (97.57%), best:    9757/10000 (97.57%), error:       807.27167, best error:       807.27167 on epoch:    46, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 60.8302841187s, input_fired_time: 1.1351590157, output_fired_time: 0.8440355062, propagate_forward_time: 21.3852272034, propagate_backward_time: 34.3156089783, weight_update_time: 0.1663925201, other_time: 3.1502532959
epoch time: 4.9358458519s, input_fired_time: 0.1525016576, output_fired_time: 0.0000000000, propagate_forward_time: 4.2454586029, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5378856659
validation[          , genome  6692] predictions:    9749/  10000 (97.49%), best:    9757/10000 (97.57%), error:       876.25415, best error:       807.27167 on epoch:    46, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 60.7066574097s, input_fired_time: 1.1354882717, output_fired_time: 0.8076954484, propagate_forward_time: 21.3488922119, propagate_backward_time: 34.2151527405, weight_update_time: 0.1715678573, other_time: 3.1994285583
epoch time: 4.9534392357s, input_fired_time: 0.1555988193, output_fired_time: 0.0000000000, propagate_forward_time: 4.2691793442, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5286612511
validation[          , genome  6692] predictions:    9770/  10000 (97.70%), best:    9757/10000 (97.57%), error:       818.77234, best error:       807.27167 on epoch:    46, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 60.7451667786s, input_fired_time: 1.1264859438, output_fired_time: 0.8353016376, propagate_forward_time: 21.3408222198, propagate_backward_time: 34.2934226990, weight_update_time: 0.1654432267, other_time: 3.1491355896
epoch time: 4.9805932045s, input_fired_time: 0.1584021002, output_fired_time: 0.0000000000, propagate_forward_time: 4.2934360504, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5287551880
validation[          , genome  6692] predictions:    9721/  10000 (97.21%), best:    9757/10000 (97.57%), error:       946.25378, best error:       807.27167 on epoch:    46, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 60.8916244507s, input_fired_time: 1.1575436592, output_fired_time: 0.8472160697, propagate_forward_time: 21.4329414368, propagate_backward_time: 34.2968292236, weight_update_time: 0.1669398993, other_time: 3.1570930481
epoch time: 4.9329853058s, input_fired_time: 0.1545245051, output_fired_time: 0.0000000000, propagate_forward_time: 4.2707624435, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5076985359
validation[          , genome  6692] predictions:    9754/  10000 (97.54%), best:    9757/10000 (97.57%), error:       853.51575, best error:       807.27167 on epoch:    46, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 60.0866661072s, input_fired_time: 1.0934123993, output_fired_time: 0.7924055457, propagate_forward_time: 21.1912593842, propagate_backward_time: 33.9792366028, weight_update_time: 0.1579861492, other_time: 3.0303535461
epoch time: 4.5787529945s, input_fired_time: 0.1115781590, output_fired_time: 0.0000000000, propagate_forward_time: 4.0345134735, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4326615334
validation[          , genome  6692] predictions:    9714/  10000 (97.14%), best:    9757/10000 (97.57%), error:       933.27142, best error:       807.27167 on epoch:    46, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 56.3434448242s, input_fired_time: 0.8614303470, output_fired_time: 0.6647869349, propagate_forward_time: 20.1966609955, propagate_backward_time: 32.4608993530, weight_update_time: 0.1077019274, other_time: 2.1596679688
epoch time: 4.6043896675s, input_fired_time: 0.1104653478, output_fired_time: 0.0000000000, propagate_forward_time: 4.0462074280, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4477167130
validation[          , genome  6692] predictions:    9731/  10000 (97.31%), best:    9757/10000 (97.57%), error:       924.40521, best error:       807.27167 on epoch:    46, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 59.1859741211s, input_fired_time: 0.8431904316, output_fired_time: 0.6579433084, propagate_forward_time: 21.3355503082, propagate_backward_time: 34.2513542175, weight_update_time: 0.1017826051, other_time: 2.0979347229
epoch time: 4.8740243912s, input_fired_time: 0.1453388333, output_fired_time: 0.0000000000, propagate_forward_time: 4.2421665192, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4865188599
validation[          , genome  6692] predictions:    9771/  10000 (97.71%), best:    9771/10000 (97.71%), error:       794.21594, best error:       794.21594 on epoch:    53, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 58.8262405396s, input_fired_time: 1.0202887058, output_fired_time: 0.7895505428, propagate_forward_time: 20.8149967194, propagate_backward_time: 33.4815864563, weight_update_time: 0.1385119706, other_time: 2.7198143005
epoch time: 4.7331771851s, input_fired_time: 0.1273976117, output_fired_time: 0.0000000000, propagate_forward_time: 4.1448769569, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4609026909
validation[          , genome  6692] predictions:    9713/  10000 (97.13%), best:    9771/10000 (97.71%), error:       891.97083, best error:       794.21594 on epoch:    53, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

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_6692.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_6692_1_r1496678481_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: 0.960826
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000744231
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.97693e-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: 55
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 53
read number_validation_images: 10000
read best_validation_predictions: 9771
read best_validation_error: 794.216
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: 6692
read normal distribution: '0 -0.361832499504089 -0.0622809827327728'
generator_str: '1434251014'
read generator: 1434251014
read generated_by_map:
1 change_size_x 1
reading 22 nodes.
reading 47 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: 56.2498931884766s, input_fired_time: 0.791740655899048, output_fired_time: 0.619376838207245, propagate_forward_time: 20.3428936004639, propagate_backward_time: 32.7355766296387, weight_update_time: 0.0907058119773865, other_time: 1.76030349731445
epoch time: 4.97485542297363s, input_fired_time: 0.147586673498154, output_fired_time: 0, propagate_forward_time: 4.33397722244263, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.49329137802124
validation[          , genome  6692] predictions:    9738/  10000 (97.38%), best:    9771/10000 (97.71%), error:       865.30139, best error:       794.21594 on epoch:    53, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 62.9523124695s, input_fired_time: 1.1405181885, output_fired_time: 0.9091383219, propagate_forward_time: 22.0514774323, propagate_backward_time: 36.0766601563, weight_update_time: 0.1459347904, other_time: 2.7745208740
epoch time: 5.4676227570s, input_fired_time: 0.1907035112, output_fired_time: 0.0000000000, propagate_forward_time: 4.7385735512, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5383458138
validation[          , genome  6692] predictions:    9771/  10000 (97.71%), best:    9771/10000 (97.71%), error:       757.20508, best error:       757.20508 on epoch:    56, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 61.7892379761s, input_fired_time: 1.0775519609, output_fired_time: 0.8543010950, propagate_forward_time: 21.7566146851, propagate_backward_time: 35.3987846375, weight_update_time: 0.1419856995, other_time: 2.7019844055
epoch time: 4.9210000038s, input_fired_time: 0.1309469789, output_fired_time: 0.0000000000, propagate_forward_time: 4.4043040276, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3857488632
validation[          , genome  6692] predictions:    9734/  10000 (97.34%), best:    9771/10000 (97.71%), error:       896.26868, best error:       757.20508 on epoch:    56, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 62.1151008606s, input_fired_time: 0.9684656858, output_fired_time: 0.7996900678, propagate_forward_time: 22.0485496521, propagate_backward_time: 36.0545043945, weight_update_time: 0.1170965955, other_time: 2.2438926697
epoch time: 4.9366664886s, input_fired_time: 0.1341474056, output_fired_time: 0.0000000000, propagate_forward_time: 4.3799896240, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4225292206
validation[          , genome  6692] predictions:    9763/  10000 (97.63%), best:    9771/10000 (97.71%), error:       818.15491, best error:       757.20508 on epoch:    56, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 58.8909149170s, input_fired_time: 0.8708339334, output_fired_time: 0.6794862151, propagate_forward_time: 21.1016407013, propagate_backward_time: 34.3010330200, weight_update_time: 0.1028692275, other_time: 1.9379196167
epoch time: 4.3075418472s, input_fired_time: 0.0842720866, output_fired_time: 0.0000000000, propagate_forward_time: 3.9589824677, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2642874718
validation[          , genome  6692] predictions:    9702/  10000 (97.02%), best:    9771/10000 (97.71%), error:      1018.39197, best error:       757.20508 on epoch:    56, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 60.3412971497s, input_fired_time: 0.9516467452, output_fired_time: 0.7443988919, propagate_forward_time: 21.5253448486, propagate_backward_time: 34.9088478088, weight_update_time: 0.1127684414, other_time: 2.2110595703
epoch time: 4.6176671982s, input_fired_time: 0.1109334081, output_fired_time: 0.0000000000, propagate_forward_time: 4.1599354744, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3467984200
validation[          , genome  6692] predictions:    9727/  10000 (97.27%), best:    9771/10000 (97.71%), error:       911.24933, best error:       757.20508 on epoch:    56, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 58.4213943481s, input_fired_time: 0.9008365273, output_fired_time: 0.6939264536, propagate_forward_time: 20.9941673279, propagate_backward_time: 33.7001953125, weight_update_time: 0.1138287708, other_time: 2.1322669983
epoch time: 4.6993718147s, input_fired_time: 0.1184078678, output_fired_time: 0.0000000000, propagate_forward_time: 4.1842741966, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3966898918
validation[          , genome  6692] predictions:    9732/  10000 (97.32%), best:    9771/10000 (97.71%), error:       899.32788, best error:       757.20508 on epoch:    56, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 54.7565879822s, input_fired_time: 0.7296056151, output_fired_time: 0.5599902272, propagate_forward_time: 19.9648323059, propagate_backward_time: 31.8499431610, weight_update_time: 0.0857418403, other_time: 1.6522159576
epoch time: 4.2903585434s, input_fired_time: 0.0849647298, output_fired_time: 0.0000000000, propagate_forward_time: 3.9469316006, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2584621906
validation[          , genome  6692] predictions:    9714/  10000 (97.14%), best:    9771/10000 (97.71%), error:       928.34277, best error:       757.20508 on epoch:    56, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 53.8834991455s, input_fired_time: 0.6936721206, output_fired_time: 0.5302888751, propagate_forward_time: 19.7301139832, propagate_backward_time: 31.4479999542, weight_update_time: 0.0775524676, other_time: 1.4814243317
epoch time: 4.2920784950s, input_fired_time: 0.0829278529, output_fired_time: 0.0000000000, propagate_forward_time: 3.9433155060, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2658352852
validation[          , genome  6692] predictions:    9759/  10000 (97.59%), best:    9771/10000 (97.71%), error:       820.80890, best error:       757.20508 on epoch:    56, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 58.1881294250s, input_fired_time: 0.8833817244, output_fired_time: 0.6824057698, propagate_forward_time: 20.9299411774, propagate_backward_time: 33.6165695190, weight_update_time: 0.1076642945, other_time: 2.0758285522
epoch time: 4.6917033195s, input_fired_time: 0.1142025813, output_fired_time: 0.0000000000, propagate_forward_time: 4.1932907104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3842101097
validation[          , genome  6692] predictions:    9693/  10000 (96.93%), best:    9771/10000 (97.71%), error:      1054.54590, best error:       757.20508 on epoch:    56, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 60.7620086670s, input_fired_time: 0.9531970620, output_fired_time: 0.7621778250, propagate_forward_time: 21.6519813538, propagate_backward_time: 35.2073860168, weight_update_time: 0.1144094616, other_time: 2.1872673035
epoch time: 4.9666342735s, input_fired_time: 0.1324433535, output_fired_time: 0.0000000000, propagate_forward_time: 4.4388079643, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3953828812
validation[          , genome  6692] predictions:    9760/  10000 (97.60%), best:    9771/10000 (97.71%), error:       815.63232, best error:       757.20508 on epoch:    56, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 57.8270111084s, input_fired_time: 0.8306208849, output_fired_time: 0.6551163197, propagate_forward_time: 20.8740406036, propagate_backward_time: 33.6362152100, weight_update_time: 0.0960825235, other_time: 1.8310165405
epoch time: 4.7054109573s, input_fired_time: 0.1152547151, output_fired_time: 0.0000000000, propagate_forward_time: 4.2050042152, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3851518631
validation[          , genome  6692] predictions:    9760/  10000 (97.60%), best:    9771/10000 (97.71%), error:       817.51648, best error:       757.20508 on epoch:    56, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 59.1790695190s, input_fired_time: 0.9079588652, output_fired_time: 0.7368786335, propagate_forward_time: 21.0917453766, propagate_backward_time: 34.3054161072, weight_update_time: 0.1164901108, other_time: 2.1370735168
epoch time: 4.6031908989s, input_fired_time: 0.1102003306, output_fired_time: 0.0000000000, propagate_forward_time: 4.1439404488, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3490500450
validation[          , genome  6692] predictions:    9746/  10000 (97.46%), best:    9771/10000 (97.71%), error:       832.87537, best error:       757.20508 on epoch:    56, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 58.4441070557s, input_fired_time: 0.8988744617, output_fired_time: 0.7035945654, propagate_forward_time: 20.9833984375, propagate_backward_time: 33.6934661865, weight_update_time: 0.1134312153, other_time: 2.1647720337
epoch time: 4.6931309700s, input_fired_time: 0.1179979444, output_fired_time: 0.0000000000, propagate_forward_time: 4.2031221390, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3720107079
validation[          , genome  6692] predictions:    9688/  10000 (96.88%), best:    9771/10000 (97.71%), error:       991.15961, best error:       757.20508 on epoch:    56, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 54.4590377808s, input_fired_time: 0.7171790004, output_fired_time: 0.5512390733, propagate_forward_time: 19.8638000488, propagate_backward_time: 31.7673454285, weight_update_time: 0.0813067853, other_time: 1.5594749451
epoch time: 4.2733187675s, input_fired_time: 0.0824802294, output_fired_time: 0.0000000000, propagate_forward_time: 3.9348297119, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2560086250
validation[          , genome  6692] predictions:    9783/  10000 (97.83%), best:    9771/10000 (97.71%), error:       758.16095, best error:       757.20508 on epoch:    56, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 53.9157562256s, input_fired_time: 0.6935712695, output_fired_time: 0.5279000401, propagate_forward_time: 19.7098922729, propagate_backward_time: 31.4856815338, weight_update_time: 0.0769798383, other_time: 1.4987087250
epoch time: 4.2582411766s, input_fired_time: 0.0810461640, output_fired_time: 0.0000000000, propagate_forward_time: 3.9208145142, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2563805580
validation[          , genome  6692] predictions:    9752/  10000 (97.52%), best:    9771/10000 (97.71%), error:       804.41101, best error:       757.20508 on epoch:    56, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 57.6280250549s, input_fired_time: 0.8734577894, output_fired_time: 0.6802788377, propagate_forward_time: 20.6793365479, propagate_backward_time: 33.3299560547, weight_update_time: 0.1091665253, other_time: 2.0649948120
epoch time: 4.6580891609s, input_fired_time: 0.1154133454, output_fired_time: 0.0000000000, propagate_forward_time: 4.1906404495, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3520355225
validation[          , genome  6692] predictions:    9764/  10000 (97.64%), best:    9771/10000 (97.71%), error:       786.20111, best error:       757.20508 on epoch:    56, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 57.8722496033s, input_fired_time: 0.8911893368, output_fired_time: 0.7044634223, propagate_forward_time: 20.7374935150, propagate_backward_time: 33.4253234863, weight_update_time: 0.1101310328, other_time: 2.1137771606
epoch time: 4.6583404541s, input_fired_time: 0.1147570685, output_fired_time: 0.0000000000, propagate_forward_time: 4.1771402359, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3664431572
validation[          , genome  6692] predictions:    9744/  10000 (97.44%), best:    9771/10000 (97.71%), error:       877.68604, best error:       757.20508 on epoch:    56, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 56.6712608337s, input_fired_time: 0.8067781925, output_fired_time: 0.6320253015, propagate_forward_time: 20.4137630463, propagate_backward_time: 32.9957771301, weight_update_time: 0.0947050601, other_time: 1.8229179382
epoch time: 4.6360473633s, input_fired_time: 0.1122720465, output_fired_time: 0.0000000000, propagate_forward_time: 4.1530342102, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3707408905
validation[          , genome  6692] predictions:    9729/  10000 (97.29%), best:    9771/10000 (97.71%), error:       860.18286, best error:       757.20508 on epoch:    56, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 58.4628181458s, input_fired_time: 0.8890188336, output_fired_time: 0.7011502981, propagate_forward_time: 20.8556442261, propagate_backward_time: 33.9084167480, weight_update_time: 0.1105045527, other_time: 2.1085891724
epoch time: 4.5664830208s, input_fired_time: 0.1080866009, output_fired_time: 0.0000000000, propagate_forward_time: 4.1118283272, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3465681076
validation[          , genome  6692] predictions:    9772/  10000 (97.72%), best:    9771/10000 (97.71%), error:       773.83063, best error:       757.20508 on epoch:    56, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 58.7620429993s, input_fired_time: 0.9057273865, output_fired_time: 0.7233018875, propagate_forward_time: 20.9191608429, propagate_backward_time: 34.0959510803, weight_update_time: 0.1070612520, other_time: 2.1179008484
epoch time: 4.6494398117s, input_fired_time: 0.1130978167, output_fired_time: 0.0000000000, propagate_forward_time: 4.1700344086, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3663077354
validation[          , genome  6692] predictions:    9761/  10000 (97.61%), best:    9771/10000 (97.71%), error:       807.71887, best error:       757.20508 on epoch:    56, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 54.2068939209s, input_fired_time: 0.7044444084, output_fired_time: 0.5329450965, propagate_forward_time: 19.8024845123, propagate_backward_time: 31.6526660919, weight_update_time: 0.0801553428, other_time: 1.5143566132
epoch time: 4.2768726349s, input_fired_time: 0.0817648992, output_fired_time: 0.0000000000, propagate_forward_time: 3.9367165565, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2583913803
validation[          , genome  6692] predictions:    9741/  10000 (97.41%), best:    9771/10000 (97.71%), error:       881.83679, best error:       757.20508 on epoch:    56, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 54.0255279541s, input_fired_time: 0.6945386529, output_fired_time: 0.5267945528, propagate_forward_time: 19.7743549347, propagate_backward_time: 31.5256538391, weight_update_time: 0.0788117722, other_time: 1.5041847229
epoch time: 4.3286876678s, input_fired_time: 0.0867580846, output_fired_time: 0.0000000000, propagate_forward_time: 3.9714529514, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2704765797
validation[          , genome  6692] predictions:    9755/  10000 (97.55%), best:    9771/10000 (97.71%), error:       829.01758, best error:       757.20508 on epoch:    56, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 58.3790168762s, input_fired_time: 0.8989270926, output_fired_time: 0.7086032629, propagate_forward_time: 20.9247970581, propagate_backward_time: 33.7080459595, weight_update_time: 0.1118680239, other_time: 2.1386451721
epoch time: 4.6343140602s, input_fired_time: 0.1111032143, output_fired_time: 0.0000000000, propagate_forward_time: 4.1441893578, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3790216446
validation[          , genome  6692] predictions:    9597/  10000 (95.97%), best:    9771/10000 (97.71%), error:      1252.52759, best error:       757.20508 on epoch:    56, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 58.1346130371s, input_fired_time: 0.8942276835, output_fired_time: 0.6931331158, propagate_forward_time: 20.8686771393, propagate_backward_time: 33.5807609558, weight_update_time: 0.1104227602, other_time: 2.0978126526
epoch time: 4.7091355324s, input_fired_time: 0.1212288439, output_fired_time: 0.0000000000, propagate_forward_time: 4.2008647919, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3870420456
validation[          , genome  6692] predictions:    9785/  10000 (97.85%), best:    9771/10000 (97.71%), error:       771.98389, best error:       757.20508 on epoch:    56, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 56.2124595642s, input_fired_time: 0.8022403717, output_fired_time: 0.6087137461, propagate_forward_time: 20.3384532928, propagate_backward_time: 32.6432075500, weight_update_time: 0.0939779729, other_time: 1.8198432922
epoch time: 4.6873631477s, input_fired_time: 0.1117268130, output_fired_time: 0.0000000000, propagate_forward_time: 4.1985325813, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3771038055
validation[          , genome  6692] predictions:    9775/  10000 (97.75%), best:    9771/10000 (97.71%), error:       761.94513, best error:       757.20508 on epoch:    56, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 58.4047737122s, input_fired_time: 0.8991732001, output_fired_time: 0.6879630089, propagate_forward_time: 20.9466362000, propagate_backward_time: 33.6977424622, weight_update_time: 0.1119373515, other_time: 2.1732597351
epoch time: 4.6513910294s, input_fired_time: 0.1155974865, output_fired_time: 0.0000000000, propagate_forward_time: 4.1604452133, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3753480911
validation[          , genome  6692] predictions:    9782/  10000 (97.82%), best:    9771/10000 (97.71%), error:       768.33936, best error:       757.20508 on epoch:    56, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 58.2666091919s, input_fired_time: 0.8904606700, output_fired_time: 0.6966466904, propagate_forward_time: 20.8594264984, propagate_backward_time: 33.7163810730, weight_update_time: 0.1094025597, other_time: 2.1036949158
epoch time: 4.6286244392s, input_fired_time: 0.1124113724, output_fired_time: 0.0000000000, propagate_forward_time: 4.1581816673, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3580312729
validation[          , genome  6692] predictions:    9766/  10000 (97.66%), best:    9771/10000 (97.71%), error:       784.32550, best error:       757.20508 on epoch:    56, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 54.3449592590s, input_fired_time: 0.7026992440, output_fired_time: 0.5406070948, propagate_forward_time: 19.8255138397, propagate_backward_time: 31.7622890472, weight_update_time: 0.0780730769, other_time: 1.5138492584
epoch time: 4.3738203049s, input_fired_time: 0.0886783078, output_fired_time: 0.0000000000, propagate_forward_time: 3.9998712540, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2852706909
validation[          , genome  6692] predictions:    9745/  10000 (97.45%), best:    9771/10000 (97.71%), error:       882.67834, best error:       757.20508 on epoch:    56, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 54.5096626282s, input_fired_time: 0.7089495063, output_fired_time: 0.5418843031, propagate_forward_time: 19.8840999603, propagate_backward_time: 31.8440761566, weight_update_time: 0.0781253427, other_time: 1.5306491852
epoch time: 4.5253772736s, input_fired_time: 0.1040408462, output_fired_time: 0.0000000000, propagate_forward_time: 4.0925488472, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3287878036
validation[          , genome  6692] predictions:    9772/  10000 (97.72%), best:    9771/10000 (97.71%), error:       776.08832, best error:       757.20508 on epoch:    56, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 60.8926887512s, input_fired_time: 0.9640332460, output_fired_time: 0.7731908560, propagate_forward_time: 21.5129451752, propagate_backward_time: 35.4846382141, weight_update_time: 0.1119221374, other_time: 2.1578788757
epoch time: 4.8243608475s, input_fired_time: 0.1221861616, output_fired_time: 0.0000000000, propagate_forward_time: 4.2856173515, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4165573120
validation[          , genome  6692] predictions:    9774/  10000 (97.74%), best:    9771/10000 (97.71%), error:       783.67847, best error:       757.20508 on epoch:    56, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 60.9633522034s, input_fired_time: 0.9706947207, output_fired_time: 0.7820044756, propagate_forward_time: 21.5919589996, propagate_backward_time: 35.3750152588, weight_update_time: 0.1171986237, other_time: 2.2436752319
epoch time: 5.0034718513s, input_fired_time: 0.1359106004, output_fired_time: 0.0000000000, propagate_forward_time: 4.4702153206, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3973460197
validation[          , genome  6692] predictions:    9755/  10000 (97.55%), best:    9771/10000 (97.71%), error:       796.19458, best error:       757.20508 on epoch:    56, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 58.8495712280s, input_fired_time: 0.8593722582, output_fired_time: 0.6734870672, propagate_forward_time: 21.0644397736, propagate_backward_time: 34.3454437256, weight_update_time: 0.0982044041, other_time: 1.9068298340
epoch time: 4.9315652847s, input_fired_time: 0.1305654049, output_fired_time: 0.0000000000, propagate_forward_time: 4.4175152779, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3834843636
validation[          , genome  6692] predictions:    9738/  10000 (97.38%), best:    9771/10000 (97.71%), error:       908.98114, best error:       757.20508 on epoch:    56, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 63.0629119873s, input_fired_time: 1.0049811602, output_fired_time: 0.8323588967, propagate_forward_time: 22.2087059021, propagate_backward_time: 36.7182807922, weight_update_time: 0.1230734810, other_time: 2.2985839844
epoch time: 4.9705786705s, input_fired_time: 0.1341857016, output_fired_time: 0.0000000000, propagate_forward_time: 4.4511528015, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3852400780
validation[          , genome  6692] predictions:    9765/  10000 (97.65%), best:    9771/10000 (97.71%), error:       818.44183, best error:       757.20508 on epoch:    56, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 64.3279647827s, input_fired_time: 1.0401358604, output_fired_time: 0.7959540486, propagate_forward_time: 22.8287754059, propagate_backward_time: 37.4222373962, weight_update_time: 0.1131438538, other_time: 2.2408638000
epoch time: 5.3909626007s, input_fired_time: 0.1739746183, output_fired_time: 0.0000000000, propagate_forward_time: 4.6696200371, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5473680496
validation[          , genome  6692] predictions:    9775/  10000 (97.75%), best:    9771/10000 (97.71%), error:       773.62091, best error:       757.20508 on epoch:    56, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 67.9217376709s, input_fired_time: 1.3081898689, output_fired_time: 1.1234011650, propagate_forward_time: 23.3578510284, propagate_backward_time: 39.0564002991, weight_update_time: 0.1505133063, other_time: 3.0759010315
epoch time: 5.5175032616s, input_fired_time: 0.1838964820, output_fired_time: 0.0000000000, propagate_forward_time: 4.7780513763, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5555553436
validation[          , genome  6692] predictions:    9722/  10000 (97.22%), best:    9771/10000 (97.71%), error:       961.77112, best error:       757.20508 on epoch:    56, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 67.6198043823s, input_fired_time: 1.3051366806, output_fired_time: 1.1123498678, propagate_forward_time: 23.2492752075, propagate_backward_time: 38.8406486511, weight_update_time: 0.1534368545, other_time: 3.1123924255
epoch time: 5.5443272591s, input_fired_time: 0.1819120944, output_fired_time: 0.0000000000, propagate_forward_time: 4.7908558846, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5715594292
validation[          , genome  6692] predictions:    9759/  10000 (97.59%), best:    9771/10000 (97.71%), error:       821.71838, best error:       757.20508 on epoch:    56, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 62.5023727417s, input_fired_time: 1.1622349024, output_fired_time: 0.9028005004, propagate_forward_time: 21.8434333801, propagate_backward_time: 35.7195396423, weight_update_time: 0.1439274251, other_time: 2.8743629456
epoch time: 5.2284297943s, input_fired_time: 0.1640175432, output_fired_time: 0.0000000000, propagate_forward_time: 4.5372438431, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5271682739
validation[          , genome  6692] predictions:    9752/  10000 (97.52%), best:    9771/10000 (97.71%), error:       856.93250, best error:       757.20508 on epoch:    56, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 64.3754882813s, input_fired_time: 1.2237038612, output_fired_time: 0.9918555617, propagate_forward_time: 22.3080215454, propagate_backward_time: 36.9007911682, weight_update_time: 0.1502082050, other_time: 2.9511146545
epoch time: 5.2023725510s, input_fired_time: 0.1657988280, output_fired_time: 0.0000000000, propagate_forward_time: 4.5089998245, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5275740623
validation[          , genome  6692] predictions:    9771/  10000 (97.71%), best:    9771/10000 (97.71%), error:       799.49640, best error:       757.20508 on epoch:    56, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 62.3218307495s, input_fired_time: 1.1636029482, output_fired_time: 0.8961234093, propagate_forward_time: 21.8350620270, propagate_backward_time: 35.5207748413, weight_update_time: 0.1469055563, other_time: 2.9062652588
epoch time: 4.8939485550s, input_fired_time: 0.1485032141, output_fired_time: 0.0000000000, propagate_forward_time: 4.2364621162, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5089831352
validation[          , genome  6692] predictions:    9759/  10000 (97.59%), best:    9771/10000 (97.71%), error:       787.10699, best error:       757.20508 on epoch:    56, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 60.5440635681s, input_fired_time: 1.1105835438, output_fired_time: 0.8033978939, propagate_forward_time: 21.3840980530, propagate_backward_time: 34.2662429810, weight_update_time: 0.1544856727, other_time: 2.9797401428
epoch time: 4.8858213425s, input_fired_time: 0.1488375813, output_fired_time: 0.0000000000, propagate_forward_time: 4.2377214432, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4992623329
validation[          , genome  6692] predictions:    9782/  10000 (97.82%), best:    9782/10000 (97.82%), error:       750.95966, best error:       750.95966 on epoch:    95, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 60.5137557983s, input_fired_time: 1.1131719351, output_fired_time: 0.8087011576, propagate_forward_time: 21.3674411774, propagate_backward_time: 34.2468681335, weight_update_time: 0.1588119268, other_time: 2.9775733948
epoch time: 4.9873309135s, input_fired_time: 0.1562420428, output_fired_time: 0.0000000000, propagate_forward_time: 4.3320884705, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4990005493
validation[          , genome  6692] predictions:    9742/  10000 (97.42%), best:    9782/10000 (97.82%), error:       877.41370, best error:       750.95966 on epoch:    95, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 60.4432525635s, input_fired_time: 1.1049839258, output_fired_time: 0.7912163138, propagate_forward_time: 21.3811969757, propagate_backward_time: 34.1427993774, weight_update_time: 0.1613474339, other_time: 3.0230560303
epoch time: 4.9142131805s, input_fired_time: 0.1502066851, output_fired_time: 0.0000000000, propagate_forward_time: 4.2512345314, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5127720833
validation[          , genome  6692] predictions:    9744/  10000 (97.44%), best:    9782/10000 (97.82%), error:       822.21912, best error:       750.95966 on epoch:    95, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 60.5242500305s, input_fired_time: 1.1260857582, output_fired_time: 0.8050282598, propagate_forward_time: 21.4094619751, propagate_backward_time: 34.2415466309, weight_update_time: 0.1562049687, other_time: 2.9421272278
epoch time: 4.9473595619s, input_fired_time: 0.1517387331, output_fired_time: 0.0000000000, propagate_forward_time: 4.2891149521, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5065059662
validation[          , genome  6692] predictions:    9754/  10000 (97.54%), best:    9782/10000 (97.82%), error:       841.13684, best error:       750.95966 on epoch:    95, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 63.8726921082s, input_fired_time: 1.2011040449, output_fired_time: 0.9677897096, propagate_forward_time: 22.2503929138, propagate_backward_time: 36.4798088074, weight_update_time: 0.1559492946, other_time: 2.9735984802
epoch time: 5.0154585838s, input_fired_time: 0.1558986753, output_fired_time: 0.0000000000, propagate_forward_time: 4.3454151154, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5141448975
validation[          , genome  6692] predictions:    9753/  10000 (97.53%), best:    9782/10000 (97.82%), error:       837.67712, best error:       750.95966 on epoch:    95, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 61.3869590759s, input_fired_time: 1.1334567070, output_fired_time: 0.8560823202, propagate_forward_time: 21.5756721497, propagate_backward_time: 34.8459968567, weight_update_time: 0.1629973948, other_time: 2.9757499695
epoch time: 4.9870052338s, input_fired_time: 0.1539544016, output_fired_time: 0.0000000000, propagate_forward_time: 4.3347873688, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4982633591
validation[          , genome  6692] predictions:    9754/  10000 (97.54%), best:    9782/10000 (97.82%), error:       816.22223, best error:       750.95966 on epoch:    95, 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: 24.9127864838s, input_fired_time: 0.7584530711, output_fired_time: 0.0000000000, propagate_forward_time: 21.4277591705, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7265739441
best training[          , genome  6692] predictions:   49631/  50000 (99.26%), best:    9782/10000 (97.82%), error:      1545.56641, best error:       750.95966 on epoch:    95, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 4.8958687782s, input_fired_time: 0.1499920040, output_fired_time: 0.0000000000, propagate_forward_time: 4.2509050369, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4949717522
   testing[          , genome  6692] predictions:    9799/  10000 (97.99%), best:    9782/10000 (97.82%), error:       685.91772, best error:       750.95966 on epoch:    95, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
20:12:32 (11072): called boinc_finish(0)

</stderr_txt>
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