Nameexact_genome_1512568488_45_7105_0
Workunit2606792
Created7 Dec 2017, 23:55:19 UTC
Sent7 Dec 2017, 23:59:58 UTC
Report deadline14 Dec 2017, 9:05:47 UTC
Received9 Dec 2017, 17:02:54 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID65976
Run time2 hours 18 min 47 sec
CPU time2 hours 6 min 19 sec
Validate stateValid
Credit1,594.76
Device peak FLOPS2.73 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34

Stderr output

<core_client_version>7.0.80</core_client_version>
<![CDATA[
<stderr_txt>
429

epoch time: 183.5117950439s, input_fired_time: 3.7262947559, output_fired_time: 0.6732873321, propagate_forward_time: 70.9073333740, propagate_backward_time: 100.9076156616, weight_update_time: 0.1448998302, other_time: 7.2972640991
epoch time: 14.8148775101s, input_fired_time: 0.0991570279, output_fired_time: 0.0000000000, propagate_forward_time: 14.3224868774, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3932332993
validation[          , genome  7105] predictions:    9688/  10000 (96.88%), best:    9688/10000 (96.88%), error:       968.34399, best error:       968.34399 on epoch:    21, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 185.0458526611s, input_fired_time: 1.8249495029, output_fired_time: 4.6874542236, propagate_forward_time: 67.1078948975, propagate_backward_time: 104.2027282715, weight_update_time: 0.1388226748, other_time: 7.2228240967
epoch time: 15.0066747665s, input_fired_time: 0.1017364264, output_fired_time: 0.0000000000, propagate_forward_time: 13.4980211258, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4069175720
validation[          , genome  7105] predictions:    9707/  10000 (97.07%), best:    9688/10000 (96.88%), error:       993.97400, best error:       968.34399 on epoch:    21, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 183.4278259277s, input_fired_time: 0.8084661961, output_fired_time: 1.6793680191, propagate_forward_time: 58.8760452271, propagate_backward_time: 113.8163986206, weight_update_time: 0.1402435601, other_time: 8.2475433350
epoch time: 14.8542041779s, input_fired_time: 2.1070902348, output_fired_time: 0.0000000000, propagate_forward_time: 12.3411664963, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4059476852
validation[          , genome  7105] predictions:    9702/  10000 (97.02%), best:    9688/10000 (96.88%), error:       994.26233, best error:       968.34399 on epoch:    21, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 182.7721405029s, input_fired_time: 0.8250811696, output_fired_time: 1.6880031824, propagate_forward_time: 71.9830398560, propagate_backward_time: 106.0280609131, weight_update_time: 0.1468673795, other_time: 2.2479476929
epoch time: 13.7956495285s, input_fired_time: 0.1027249694, output_fired_time: 0.0000000000, propagate_forward_time: 13.2937898636, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3991346359
validation[          , genome  7105] predictions:    9728/  10000 (97.28%), best:    9728/10000 (97.28%), error:       916.05536, best error:       916.05536 on epoch:    24, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 185.3210906982s, input_fired_time: 3.8356988430, output_fired_time: 0.6787192822, propagate_forward_time: 65.7092285156, propagate_backward_time: 105.8618698120, weight_update_time: 0.1434268057, other_time: 9.2355728149
epoch time: 15.0021419525s, input_fired_time: 0.1049295142, output_fired_time: 0.0000000000, propagate_forward_time: 12.4807567596, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4164552689
validation[          , genome  7105] predictions:    9750/  10000 (97.50%), best:    9750/10000 (97.50%), error:       892.87866, best error:       892.87866 on epoch:    25, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 184.6031341553s, input_fired_time: 0.8291407228, output_fired_time: 0.6756656170, propagate_forward_time: 65.1883544922, propagate_backward_time: 112.7588043213, weight_update_time: 1.0518213511, other_time: 5.1511688232
epoch time: 14.9536828995s, input_fired_time: 0.0997006372, output_fired_time: 0.0000000000, propagate_forward_time: 14.4579648972, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3960170746
validation[          , genome  7105] predictions:    9730/  10000 (97.30%), best:    9750/10000 (97.50%), error:       898.23083, best error:       892.87866 on epoch:    25, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 183.2878112793s, input_fired_time: 0.8273799419, output_fired_time: 1.6895674467, propagate_forward_time: 71.0319213867, propagate_backward_time: 103.6076049805, weight_update_time: 1.1418066025, other_time: 6.1313476563
epoch time: 14.9487428665s, input_fired_time: 0.1006608158, output_fired_time: 0.0000000000, propagate_forward_time: 12.4469804764, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4011011124
validation[          , genome  7105] predictions:    9680/  10000 (96.80%), best:    9750/10000 (97.50%), error:      1058.26440, best error:       892.87866 on epoch:    25, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 183.3095092773s, input_fired_time: 6.8342394829, output_fired_time: 2.6764330864, propagate_forward_time: 73.0586471558, propagate_backward_time: 94.6000976563, weight_update_time: 0.1409963816, other_time: 6.1400833130
epoch time: 13.9428567886s, input_fired_time: 0.0993881822, output_fired_time: 0.0000000000, propagate_forward_time: 12.4473171234, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3961515427
validation[          , genome  7105] predictions:    9722/  10000 (97.22%), best:    9750/10000 (97.50%), error:       907.70245, best error:       892.87866 on epoch:    25, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 183.3666076660s, input_fired_time: 2.8159704208, output_fired_time: 3.5817945004, propagate_forward_time: 65.9122085571, propagate_backward_time: 107.8266296387, weight_update_time: 0.1460583061, other_time: 3.2300186157
epoch time: 14.9214305878s, input_fired_time: 2.1067438126, output_fired_time: 0.0000000000, propagate_forward_time: 12.4207067490, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3939800262
validation[          , genome  7105] predictions:    9720/  10000 (97.20%), best:    9750/10000 (97.50%), error:       928.68225, best error:       892.87866 on epoch:    25, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 182.9526519775s, input_fired_time: 0.8229816556, output_fired_time: 1.6815880537, propagate_forward_time: 67.6540145874, propagate_backward_time: 110.5749282837, weight_update_time: 0.1432080865, other_time: 2.2191314697
epoch time: 13.9243555069s, input_fired_time: 0.1039885730, output_fired_time: 0.0000000000, propagate_forward_time: 13.4229259491, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3974409103
validation[          , genome  7105] predictions:    9726/  10000 (97.26%), best:    9750/10000 (97.50%), error:       930.84424, best error:       892.87866 on epoch:    25, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 184.7062225342s, input_fired_time: 6.7406377792, output_fired_time: 4.5959973335, propagate_forward_time: 61.0970306396, propagate_backward_time: 104.0322494507, weight_update_time: 0.1374499202, other_time: 8.2403182983
epoch time: 14.9109191895s, input_fired_time: 1.1052255630, output_fired_time: 0.0000000000, propagate_forward_time: 13.4044389725, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4012546539
validation[          , genome  7105] predictions:    9731/  10000 (97.31%), best:    9750/10000 (97.50%), error:       917.14117, best error:       892.87866 on epoch:    25, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 185.0791473389s, input_fired_time: 0.8247817755, output_fired_time: 0.6814431548, propagate_forward_time: 66.1276702881, propagate_backward_time: 111.1663055420, weight_update_time: 0.1413393319, other_time: 6.2789459229
epoch time: 13.8115482330s, input_fired_time: 0.1005602852, output_fired_time: 0.0000000000, propagate_forward_time: 13.3051967621, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4057912827
validation[          , genome  7105] predictions:    9739/  10000 (97.39%), best:    9750/10000 (97.50%), error:       896.09210, best error:       892.87866 on epoch:    25, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 183.7737884521s, input_fired_time: 6.8470106125, output_fired_time: 4.6977033615, propagate_forward_time: 70.0902557373, propagate_backward_time: 95.9016799927, weight_update_time: 0.1408126354, other_time: 6.2371292114
epoch time: 15.8829784393s, input_fired_time: 0.1026925370, output_fired_time: 0.0000000000, propagate_forward_time: 15.3772220612, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4030637741
validation[          , genome  7105] predictions:    9742/  10000 (97.42%), best:    9742/10000 (97.42%), error:       873.51031, best error:       873.51031 on epoch:    33, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 182.8389434814s, input_fired_time: 4.8426818848, output_fired_time: 2.6736271381, propagate_forward_time: 65.0155868530, propagate_backward_time: 108.0232391357, weight_update_time: 0.1421275139, other_time: 2.2838058472
epoch time: 14.8023777008s, input_fired_time: 0.1198482513, output_fired_time: 0.0000000000, propagate_forward_time: 12.2774019241, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4051275253
validation[          , genome  7105] predictions:    9776/  10000 (97.76%), best:    9776/10000 (97.76%), error:       795.87744, best error:       795.87744 on epoch:    34, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 183.1338958740s, input_fired_time: 0.8139861822, output_fired_time: 0.6679980755, propagate_forward_time: 57.7642059326, propagate_backward_time: 117.6591339111, weight_update_time: 0.1432901919, other_time: 6.2285766602
epoch time: 13.9191713333s, input_fired_time: 0.1039249375, output_fired_time: 0.0000000000, propagate_forward_time: 12.4136304855, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4016160965
validation[          , genome  7105] predictions:    9737/  10000 (97.37%), best:    9776/10000 (97.76%), error:       908.06616, best error:       795.87744 on epoch:    34, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 185.3205108643s, input_fired_time: 0.8371746540, output_fired_time: 2.6763529778, propagate_forward_time: 65.3929977417, propagate_backward_time: 111.1425552368, weight_update_time: 1.1492328644, other_time: 5.2714385986
epoch time: 12.5314197540s, input_fired_time: 0.0971520022, output_fired_time: 0.0000000000, propagate_forward_time: 12.0514202118, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3828477859
validation[          , genome  7105] predictions:    9698/  10000 (96.98%), best:    9776/10000 (97.76%), error:       975.05078, best error:       795.87744 on epoch:    34, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 176.9627532959s, input_fired_time: 2.7976062298, output_fired_time: 1.6730771065, propagate_forward_time: 63.0257415771, propagate_backward_time: 101.3067169189, weight_update_time: 0.1366670132, other_time: 8.1596069336
epoch time: 13.5289859772s, input_fired_time: 0.0961967036, output_fired_time: 0.0000000000, propagate_forward_time: 13.0517110825, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3810777664
validation[          , genome  7105] predictions:    9712/  10000 (97.12%), best:    9776/10000 (97.76%), error:       965.75647, best error:       795.87744 on epoch:    34, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 177.6486053467s, input_fired_time: 1.7966200113, output_fired_time: 0.6492982507, propagate_forward_time: 75.1615295410, propagate_backward_time: 94.9006881714, weight_update_time: 0.1369807124, other_time: 5.1404800415
epoch time: 14.8885583878s, input_fired_time: 0.1036860496, output_fired_time: 0.0000000000, propagate_forward_time: 12.3899059296, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3949661255
validation[          , genome  7105] predictions:    9709/  10000 (97.09%), best:    9776/10000 (97.76%), error:       935.47137, best error:       795.87744 on epoch:    34, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 186.5264129639s, input_fired_time: 4.8253397942, output_fired_time: 0.6695235968, propagate_forward_time: 72.2663879395, propagate_backward_time: 103.5268020630, weight_update_time: 0.1473540068, other_time: 5.2383651733
epoch time: 15.0062446594s, input_fired_time: 0.1182705387, output_fired_time: 0.0000000000, propagate_forward_time: 14.4945096970, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3934640884
validation[          , genome  7105] predictions:    9716/  10000 (97.16%), best:    9776/10000 (97.76%), error:       932.59528, best error:       795.87744 on epoch:    34, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 174.5617218018s, input_fired_time: 0.8038809896, output_fired_time: 0.6415608525, propagate_forward_time: 63.7422599792, propagate_backward_time: 107.2159118652, weight_update_time: 0.1362683922, other_time: 2.1581115723
epoch time: 13.5973463058s, input_fired_time: 0.0960469320, output_fired_time: 0.0000000000, propagate_forward_time: 12.1255092621, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3757896423
validation[          , genome  7105] predictions:    9776/  10000 (97.76%), best:    9776/10000 (97.76%), error:       789.17236, best error:       789.17236 on epoch:    40, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 175.4082489014s, input_fired_time: 3.8006095886, output_fired_time: 2.6452722549, propagate_forward_time: 58.8323707581, propagate_backward_time: 102.9566955566, weight_update_time: 0.1359005421, other_time: 7.1732940674
epoch time: 14.6620798111s, input_fired_time: 0.0983171612, output_fired_time: 0.0000000000, propagate_forward_time: 13.1802730560, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3834896088
validation[          , genome  7105] predictions:    9699/  10000 (96.99%), best:    9776/10000 (97.76%), error:       963.90228, best error:       789.17236 on epoch:    40, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 169.5532684326s, input_fired_time: 3.8022844791, output_fired_time: 0.6432645321, propagate_forward_time: 55.8088607788, propagate_backward_time: 104.1756439209, weight_update_time: 1.1422556639, other_time: 5.1232070923
epoch time: 15.5853357315s, input_fired_time: 0.0978519395, output_fired_time: 0.0000000000, propagate_forward_time: 15.1065826416, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3809013367
validation[          , genome  7105] predictions:    9712/  10000 (97.12%), best:    9776/10000 (97.76%), error:       930.87988, best error:       789.17236 on epoch:    40, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 175.6750488281s, input_fired_time: 1.7968174219, output_fired_time: 2.6490726471, propagate_forward_time: 63.9011077881, propagate_backward_time: 103.1923599243, weight_update_time: 1.1439158916, other_time: 4.1356887817
epoch time: 14.6460380554s, input_fired_time: 0.0990646631, output_fired_time: 0.0000000000, propagate_forward_time: 12.1526784897, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3942947388
validation[          , genome  7105] predictions:    9696/  10000 (96.96%), best:    9776/10000 (97.76%), error:      1022.21381, best error:       789.17236 on epoch:    40, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 182.4017333984s, input_fired_time: 1.8254684210, output_fired_time: 1.6799896955, propagate_forward_time: 60.0471153259, propagate_backward_time: 112.6330642700, weight_update_time: 0.1412439942, other_time: 6.2160873413
epoch time: 14.8883914948s, input_fired_time: 0.1036716476, output_fired_time: 0.0000000000, propagate_forward_time: 12.3839797974, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4007396698
validation[          , genome  7105] predictions:    9775/  10000 (97.75%), best:    9776/10000 (97.76%), error:       821.04102, best error:       789.17236 on epoch:    40, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 176.5247650146s, input_fired_time: 0.7872934341, output_fired_time: 0.6475920677, propagate_forward_time: 67.9307861328, propagate_backward_time: 101.0083236694, weight_update_time: 0.1375443339, other_time: 6.1507644653
epoch time: 13.5761346817s, input_fired_time: 0.0964516997, output_fired_time: 0.0000000000, propagate_forward_time: 13.1068210602, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3728618622
validation[          , genome  7105] predictions:    9767/  10000 (97.67%), best:    9776/10000 (97.76%), error:       799.56012, best error:       789.17236 on epoch:    40, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 174.7019042969s, input_fired_time: 0.7847297192, output_fired_time: 0.6405156851, propagate_forward_time: 78.8179626465, propagate_backward_time: 88.3257827759, weight_update_time: 0.1338277757, other_time: 6.1329116821
epoch time: 13.6160345078s, input_fired_time: 0.0970830694, output_fired_time: 0.0000000000, propagate_forward_time: 11.1320390701, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3869123459
validation[          , genome  7105] predictions:    9747/  10000 (97.47%), best:    9776/10000 (97.76%), error:       860.48358, best error:       789.17236 on epoch:    40, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 174.6498718262s, input_fired_time: 0.7801386714, output_fired_time: 2.6379258633, propagate_forward_time: 64.5572280884, propagate_backward_time: 101.5662002563, weight_update_time: 0.1352054924, other_time: 5.1083831787
epoch time: 12.5224151611s, input_fired_time: 0.0965026170, output_fired_time: 0.0000000000, propagate_forward_time: 12.0475387573, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3783740997
validation[          , genome  7105] predictions:    9744/  10000 (97.44%), best:    9776/10000 (97.76%), error:       882.27454, best error:       789.17236 on epoch:    40, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 174.7046203613s, input_fired_time: 0.7825413346, output_fired_time: 0.6327947378, propagate_forward_time: 58.4790382385, propagate_backward_time: 111.7040634155, weight_update_time: 0.1347839832, other_time: 3.1061782837
epoch time: 13.6035184860s, input_fired_time: 0.0970033854, output_fired_time: 0.0000000000, propagate_forward_time: 13.1250858307, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3814296722
validation[          , genome  7105] predictions:    9790/  10000 (97.90%), best:    9776/10000 (97.76%), error:       814.83093, best error:       789.17236 on epoch:    40, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 174.5914001465s, input_fired_time: 2.7921354771, output_fired_time: 2.6362779140, propagate_forward_time: 59.4308090210, propagate_backward_time: 104.6237182617, weight_update_time: 0.1350490898, other_time: 5.1084671021
epoch time: 12.6335372925s, input_fired_time: 0.0983335599, output_fired_time: 0.0000000000, propagate_forward_time: 12.1597394943, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3754644394
validation[          , genome  7105] predictions:    9769/  10000 (97.69%), best:    9776/10000 (97.76%), error:       816.43854, best error:       789.17236 on epoch:    40, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 174.5453491211s, input_fired_time: 2.7878720760, output_fired_time: 0.6347303987, propagate_forward_time: 59.5621643066, propagate_backward_time: 103.4561691284, weight_update_time: 0.1356242895, other_time: 8.1044082642
epoch time: 13.5086612701s, input_fired_time: 0.0975050703, output_fired_time: 0.0000000000, propagate_forward_time: 13.0328235626, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3783330917
validation[          , genome  7105] predictions:    9724/  10000 (97.24%), best:    9776/10000 (97.76%), error:       928.69153, best error:       789.17236 on epoch:    40, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 175.3017883301s, input_fired_time: 0.7909256816, output_fired_time: 2.6482930183, propagate_forward_time: 56.8740425110, propagate_backward_time: 108.8389511108, weight_update_time: 0.1366222501, other_time: 6.1495742798
epoch time: 14.6172332764s, input_fired_time: 0.0967418775, output_fired_time: 0.0000000000, propagate_forward_time: 14.1392612457, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3812303543
validation[          , genome  7105] predictions:    9768/  10000 (97.68%), best:    9776/10000 (97.76%), error:       846.03839, best error:       789.17236 on epoch:    40, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 176.9265899658s, input_fired_time: 0.7987177968, output_fired_time: 0.6467298269, propagate_forward_time: 71.0000839233, propagate_backward_time: 99.3268051147, weight_update_time: 0.1370754838, other_time: 5.1542510986
epoch time: 14.8024606705s, input_fired_time: 0.0998533592, output_fired_time: 0.0000000000, propagate_forward_time: 12.3054294586, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3971776962
validation[          , genome  7105] predictions:    9748/  10000 (97.48%), best:    9776/10000 (97.76%), error:       836.16083, best error:       789.17236 on epoch:    40, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 178.1564941406s, input_fired_time: 3.8146030903, output_fired_time: 0.6471442580, propagate_forward_time: 68.3239517212, propagate_backward_time: 102.1947402954, weight_update_time: 0.1379593611, other_time: 3.1760559082
epoch time: 13.6966829300s, input_fired_time: 0.1009485871, output_fired_time: 0.0000000000, propagate_forward_time: 13.2158603668, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3798742294
validation[          , genome  7105] predictions:    9729/  10000 (97.29%), best:    9776/10000 (97.76%), error:       896.24353, best error:       789.17236 on epoch:    40, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 175.3058929443s, input_fired_time: 0.7942669988, output_fired_time: 3.6495432854, propagate_forward_time: 47.7362518311, propagate_backward_time: 121.0108718872, weight_update_time: 0.1376305968, other_time: 2.1149673462
epoch time: 13.4482355118s, input_fired_time: 0.0947648063, output_fired_time: 0.0000000000, propagate_forward_time: 12.9928274155, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3606433868
validation[          , genome  7105] predictions:    9757/  10000 (97.57%), best:    9776/10000 (97.76%), error:       830.49268, best error:       789.17236 on epoch:    40, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 170.4928436279s, input_fired_time: 0.7713475823, output_fired_time: 0.6180820465, propagate_forward_time: 67.1349105835, propagate_backward_time: 96.9241485596, weight_update_time: 0.1309385300, other_time: 5.0443496704
epoch time: 13.4096164703s, input_fired_time: 0.0953341946, output_fired_time: 0.0000000000, propagate_forward_time: 12.9490728378, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3652095795
validation[          , genome  7105] predictions:    9761/  10000 (97.61%), best:    9776/10000 (97.76%), error:       815.35583, best error:       789.17236 on epoch:    40, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 170.9735412598s, input_fired_time: 1.7786421776, output_fired_time: 0.6291323304, propagate_forward_time: 62.4602737427, propagate_backward_time: 102.0550689697, weight_update_time: 0.1316071004, other_time: 4.0504226685
epoch time: 12.4142303467s, input_fired_time: 0.0967994258, output_fired_time: 0.0000000000, propagate_forward_time: 11.9517564774, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3656740189
validation[          , genome  7105] predictions:    9752/  10000 (97.52%), best:    9776/10000 (97.76%), error:       830.48859, best error:       789.17236 on epoch:    40, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 172.8992156982s, input_fired_time: 0.7726450562, output_fired_time: 1.6289818287, propagate_forward_time: 59.1714477539, propagate_backward_time: 104.2749862671, weight_update_time: 0.1304335445, other_time: 7.0511550903
epoch time: 13.5589914322s, input_fired_time: 0.0970145017, output_fired_time: 0.0000000000, propagate_forward_time: 13.0922794342, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3696975708
validation[          , genome  7105] predictions:    9728/  10000 (97.28%), best:    9776/10000 (97.76%), error:       957.63354, best error:       789.17236 on epoch:    40, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 170.4794769287s, input_fired_time: 0.7703640461, output_fired_time: 0.6174105406, propagate_forward_time: 57.0841941833, propagate_backward_time: 97.9397811890, weight_update_time: 0.1305242926, other_time: 14.0677108765
epoch time: 13.5400457382s, input_fired_time: 0.0957504883, output_fired_time: 0.0000000000, propagate_forward_time: 13.0777330399, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3665618896
validation[          , genome  7105] predictions:    9666/  10000 (96.66%), best:    9776/10000 (97.76%), error:      1085.35486, best error:       789.17236 on epoch:    40, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 170.4095306396s, input_fired_time: 0.7704116702, output_fired_time: 2.6269395351, propagate_forward_time: 74.1279602051, propagate_backward_time: 85.9350967407, weight_update_time: 0.1314766556, other_time: 6.9491195679
epoch time: 12.6370773315s, input_fired_time: 0.0965711698, output_fired_time: 0.0000000000, propagate_forward_time: 10.1546363831, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3858699799
validation[          , genome  7105] predictions:    9747/  10000 (97.47%), best:    9776/10000 (97.76%), error:       845.22473, best error:       789.17236 on epoch:    40, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 172.6578521729s, input_fired_time: 2.7824776173, output_fired_time: 0.6177510619, propagate_forward_time: 56.2098617554, propagate_backward_time: 106.9967727661, weight_update_time: 1.1335467100, other_time: 6.0509948730
epoch time: 12.5719451904s, input_fired_time: 0.0969184488, output_fired_time: 0.0000000000, propagate_forward_time: 10.0952558517, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3797712326
validation[          , genome  7105] predictions:    9718/  10000 (97.18%), best:    9776/10000 (97.76%), error:       918.60278, best error:       789.17236 on epoch:    40, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 171.6298522949s, input_fired_time: 0.7735107541, output_fired_time: 0.6205040216, propagate_forward_time: 63.2463302612, propagate_backward_time: 98.9331283569, weight_update_time: 0.1318122000, other_time: 8.0563812256
epoch time: 13.5159101486s, input_fired_time: 0.0961179286, output_fired_time: 0.0000000000, propagate_forward_time: 13.0538101196, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3659820557
validation[          , genome  7105] predictions:    9759/  10000 (97.59%), best:    9776/10000 (97.76%), error:       820.58185, best error:       789.17236 on epoch:    40, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 172.7548522949s, input_fired_time: 2.7782270908, output_fired_time: 0.6229079366, propagate_forward_time: 65.3434524536, propagate_backward_time: 98.9588775635, weight_update_time: 0.1304487437, other_time: 5.0513839722
epoch time: 12.3961973190s, input_fired_time: 0.0940898955, output_fired_time: 0.0000000000, propagate_forward_time: 10.9382724762, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3638353348
validation[          , genome  7105] predictions:    9752/  10000 (97.52%), best:    9776/10000 (97.76%), error:       840.18311, best error:       789.17236 on epoch:    40, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

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_45_7105.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_45_7105_0_r723562583_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: 0.970645
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000493738
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.97495e-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: 63
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 40
read number_validation_images: 10000
read best_validation_predictions: 9776
read best_validation_error: 789.172
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: 7105
read normal distribution: '1 -2.80611729621887 -0.558064818382263'
generator_str: '1712604468'
read generator: 1712604468
read generated_by_map:
1 add_edge 1
reading 22 nodes.
reading 56 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: 184.912353515625s, input_fired_time: 6.89022636413574, output_fired_time: 0.660875737667084, propagate_forward_time: 59.1945724487305, propagate_backward_time: 113.770973205566, weight_update_time: 2.1448540687561, other_time: 4.39570617675781
epoch time: 14.9320240020752s, input_fired_time: 1.10605120658875, output_fired_time: 0, propagate_forward_time: 11.4038162231445, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.42215633392334
validation[          , genome  7105] predictions:    9743/  10000 (97.43%), best:    9776/10000 (97.76%), error:       955.93774, best error:       789.17236 on epoch:    40, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 200.0942077637s, input_fired_time: 0.8829268813, output_fired_time: 1.7066277266, propagate_forward_time: 78.5010299683, propagate_backward_time: 112.5206527710, weight_update_time: 0.1467302889, other_time: 6.4829711914
epoch time: 15.0356435776s, input_fired_time: 0.1051138565, output_fired_time: 0.0000000000, propagate_forward_time: 14.4947500229, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4357795715
validation[          , genome  7105] predictions:    9715/  10000 (97.15%), best:    9776/10000 (97.76%), error:       965.97156, best error:       789.17236 on epoch:    40, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 189.5825958252s, input_fired_time: 0.8471935987, output_fired_time: 0.6769067645, propagate_forward_time: 70.8731384277, propagate_backward_time: 112.7788696289, weight_update_time: 0.1398322135, other_time: 4.4064788818
epoch time: 15.0688867569s, input_fired_time: 0.1032783911, output_fired_time: 0.0000000000, propagate_forward_time: 12.5260057449, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4396028519
validation[          , genome  7105] predictions:    9687/  10000 (96.87%), best:    9776/10000 (97.76%), error:      1079.02527, best error:       789.17236 on epoch:    40, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 193.1351776123s, input_fired_time: 0.8610921502, output_fired_time: 2.7019970417, propagate_forward_time: 73.5624923706, propagate_backward_time: 113.5326843262, weight_update_time: 0.1492775530, other_time: 2.4769058228
epoch time: 15.1629571915s, input_fired_time: 0.1083808094, output_fired_time: 0.0000000000, propagate_forward_time: 12.6127567291, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4418191910
validation[          , genome  7105] predictions:    9758/  10000 (97.58%), best:    9776/10000 (97.76%), error:       844.59369, best error:       789.17236 on epoch:    40, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 194.8962402344s, input_fired_time: 4.8875398636, output_fired_time: 2.7131092548, propagate_forward_time: 77.6597290039, propagate_backward_time: 104.1099319458, weight_update_time: 0.1530143768, other_time: 5.5259323120
epoch time: 15.0999050140s, input_fired_time: 0.1075959206, output_fired_time: 0.0000000000, propagate_forward_time: 14.5687522888, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4235572815
validation[          , genome  7105] predictions:    9785/  10000 (97.85%), best:    9776/10000 (97.76%), error:       800.33740, best error:       789.17236 on epoch:    40, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 190.4429473877s, input_fired_time: 0.8377019167, output_fired_time: 0.6913525462, propagate_forward_time: 70.2869262695, propagate_backward_time: 109.1387100220, weight_update_time: 0.1401466280, other_time: 9.4882583618
epoch time: 16.5947475433s, input_fired_time: 0.1100385189, output_fired_time: 0.0000000000, propagate_forward_time: 14.0089530945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4757556915
validation[          , genome  7105] predictions:    9638/  10000 (96.38%), best:    9776/10000 (97.76%), error:      1155.84094, best error:       789.17236 on epoch:    40, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 185.0638275146s, input_fired_time: 0.8488827348, output_fired_time: 2.6820807457, propagate_forward_time: 60.6374855042, propagate_backward_time: 114.5883865356, weight_update_time: 0.1451018155, other_time: 6.3069992065
epoch time: 14.9318437576s, input_fired_time: 0.1076968908, output_fired_time: 0.0000000000, propagate_forward_time: 14.3965301514, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4276170731
validation[          , genome  7105] predictions:    9765/  10000 (97.65%), best:    9776/10000 (97.76%), error:       867.89771, best error:       789.17236 on epoch:    40, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 185.2097320557s, input_fired_time: 2.8488433361, output_fired_time: 0.6624455452, propagate_forward_time: 73.2774353027, propagate_backward_time: 104.0640258789, weight_update_time: 2.1492147446, other_time: 4.3569793701
epoch time: 14.9282140732s, input_fired_time: 0.1025809124, output_fired_time: 0.0000000000, propagate_forward_time: 12.4062871933, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4193458557
validation[          , genome  7105] predictions:    9772/  10000 (97.72%), best:    9772/10000 (97.72%), error:       784.60034, best error:       784.60034 on epoch:    70, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 193.2230834961s, input_fired_time: 0.8585107327, output_fired_time: 2.7064695358, propagate_forward_time: 79.4497299194, propagate_backward_time: 106.6802902222, weight_update_time: 0.1484403461, other_time: 3.5280914307
epoch time: 15.1219520569s, input_fired_time: 0.1117566302, output_fired_time: 0.0000000000, propagate_forward_time: 14.5769071579, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4332885742
validation[          , genome  7105] predictions:    9783/  10000 (97.83%), best:    9783/10000 (97.83%), error:       770.82800, best error:       770.82800 on epoch:    71, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 205.1992034912s, input_fired_time: 0.8933205605, output_fired_time: 2.7644987106, propagate_forward_time: 82.2684020996, propagate_backward_time: 114.6380081177, weight_update_time: 0.1533021927, other_time: 4.6349716187
epoch time: 15.0387687683s, input_fired_time: 0.1041925699, output_fired_time: 0.0000000000, propagate_forward_time: 12.5092420578, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4253339767
validation[          , genome  7105] predictions:    9743/  10000 (97.43%), best:    9783/10000 (97.83%), error:       869.31097, best error:       770.82800 on epoch:    71, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 185.5709838867s, input_fired_time: 2.8478629589, output_fired_time: 0.6715869904, propagate_forward_time: 71.4824295044, propagate_backward_time: 106.2822875977, weight_update_time: 0.1380390078, other_time: 4.2868118286
epoch time: 15.0019321442s, input_fired_time: 2.1139132977, output_fired_time: 0.0000000000, propagate_forward_time: 12.4665956497, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4214229584
validation[          , genome  7105] predictions:    9747/  10000 (97.47%), best:    9783/10000 (97.83%), error:       863.85187, best error:       770.82800 on epoch:    71, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 190.1790924072s, input_fired_time: 0.8763424754, output_fired_time: 0.7043222189, propagate_forward_time: 64.1264953613, propagate_backward_time: 116.0098342896, weight_update_time: 0.1418228596, other_time: 8.4621047974
epoch time: 14.9782009125s, input_fired_time: 0.1046244875, output_fired_time: 0.0000000000, propagate_forward_time: 14.4597711563, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4138050079
validation[          , genome  7105] predictions:    9732/  10000 (97.32%), best:    9783/10000 (97.83%), error:       930.64905, best error:       770.82800 on epoch:    71, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 189.7192077637s, input_fired_time: 1.8599855900, output_fired_time: 1.6804944277, propagate_forward_time: 69.9325866699, propagate_backward_time: 107.0155181885, weight_update_time: 0.1414767653, other_time: 9.2306213379
epoch time: 17.8705101013s, input_fired_time: 0.1242564991, output_fired_time: 0.0000000000, propagate_forward_time: 17.2748985291, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4713554382
validation[          , genome  7105] predictions:    9737/  10000 (97.37%), best:    9783/10000 (97.83%), error:       878.05005, best error:       770.82800 on epoch:    71, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 190.5064086914s, input_fired_time: 5.7873725891, output_fired_time: 2.6819131374, propagate_forward_time: 69.2874755859, propagate_backward_time: 108.3140106201, weight_update_time: 0.1411755383, other_time: 4.4356384277
epoch time: 15.0728721619s, input_fired_time: 0.1093377993, output_fired_time: 0.0000000000, propagate_forward_time: 14.5392942429, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4242401123
validation[          , genome  7105] predictions:    9778/  10000 (97.78%), best:    9783/10000 (97.83%), error:       777.97827, best error:       770.82800 on epoch:    71, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 184.8737030029s, input_fired_time: 1.8374696970, output_fired_time: 2.6710591316, propagate_forward_time: 76.1990203857, propagate_backward_time: 94.7812347412, weight_update_time: 0.1386433691, other_time: 9.3849182129
epoch time: 15.0168457031s, input_fired_time: 0.1038637608, output_fired_time: 0.0000000000, propagate_forward_time: 14.4821748734, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4308071136
validation[          , genome  7105] predictions:    9753/  10000 (97.53%), best:    9783/10000 (97.83%), error:       818.82562, best error:       770.82800 on epoch:    71, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 195.5771179199s, input_fired_time: 2.8700659275, output_fired_time: 0.7012051940, propagate_forward_time: 73.6289138794, propagate_backward_time: 115.9185028076, weight_update_time: 0.1515782177, other_time: 2.4584274292
epoch time: 15.3399410248s, input_fired_time: 0.1136340052, output_fired_time: 0.0000000000, propagate_forward_time: 12.7736272812, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4526796341
validation[          , genome  7105] predictions:    9780/  10000 (97.80%), best:    9783/10000 (97.83%), error:       787.98676, best error:       770.82800 on epoch:    71, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 190.3253479004s, input_fired_time: 1.8733632565, output_fired_time: 2.6916654110, propagate_forward_time: 66.0464477539, propagate_backward_time: 116.2548980713, weight_update_time: 1.1603484154, other_time: 3.4589691162
epoch time: 15.1064510345s, input_fired_time: 0.1123076007, output_fired_time: 0.0000000000, propagate_forward_time: 14.5648374557, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4293060303
validation[          , genome  7105] predictions:    9720/  10000 (97.20%), best:    9783/10000 (97.83%), error:       955.80426, best error:       770.82800 on epoch:    71, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 189.3653106689s, input_fired_time: 3.8744421005, output_fired_time: 0.6752382517, propagate_forward_time: 59.9016761780, propagate_backward_time: 117.6016845703, weight_update_time: 0.1399520785, other_time: 7.3122863770
epoch time: 15.2624320984s, input_fired_time: 0.1115099043, output_fired_time: 0.0000000000, propagate_forward_time: 14.7163448334, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4345769882
validation[          , genome  7105] predictions:    9605/  10000 (96.05%), best:    9783/10000 (97.83%), error:      1330.45813, best error:       770.82800 on epoch:    71, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 191.8898925781s, input_fired_time: 2.8794581890, output_fired_time: 0.7275081873, propagate_forward_time: 54.2217063904, propagate_backward_time: 126.5674133301, weight_update_time: 1.1553626060, other_time: 7.4938049316
epoch time: 17.7197952271s, input_fired_time: 0.1151045263, output_fired_time: 0.0000000000, propagate_forward_time: 14.1139278412, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4907627106
validation[          , genome  7105] predictions:    9767/  10000 (97.67%), best:    9783/10000 (97.83%), error:       877.02606, best error:       770.82800 on epoch:    71, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 193.1847991943s, input_fired_time: 3.8873033524, output_fired_time: 0.7064951062, propagate_forward_time: 69.5376815796, propagate_backward_time: 114.5442123413, weight_update_time: 0.1566532701, other_time: 4.5091094971
epoch time: 14.6364336014s, input_fired_time: 0.0987391546, output_fired_time: 0.0000000000, propagate_forward_time: 12.1395187378, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3981752396
validation[          , genome  7105] predictions:    9759/  10000 (97.59%), best:    9783/10000 (97.83%), error:       833.02032, best error:       770.82800 on epoch:    71, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 185.3155517578s, input_fired_time: 1.8330805302, output_fired_time: 2.6707592010, propagate_forward_time: 74.2646713257, propagate_backward_time: 101.7552490234, weight_update_time: 0.1354514509, other_time: 4.7917861938
epoch time: 31.1851654053s, input_fired_time: 0.3554832041, output_fired_time: 0.0000000000, propagate_forward_time: 20.1196327209, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.7100486755
validation[          , genome  7105] predictions:    9725/  10000 (97.25%), best:    9783/10000 (97.83%), error:       958.47003, best error:       770.82800 on epoch:    71, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 225.1021270752s, input_fired_time: 1.0226427317, output_fired_time: 0.8223410845, propagate_forward_time: 80.9856109619, propagate_backward_time: 137.3880310059, weight_update_time: 0.1553227454, other_time: 4.8834991455
epoch time: 18.0510215759s, input_fired_time: 0.1350456774, output_fired_time: 0.0000000000, propagate_forward_time: 17.3954124451, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5205631256
validation[          , genome  7105] predictions:    9697/  10000 (96.97%), best:    9783/10000 (97.83%), error:      1016.52527, best error:       770.82800 on epoch:    71, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 213.5583190918s, input_fired_time: 1.0313860178, output_fired_time: 1.7544944286, propagate_forward_time: 82.4326324463, propagate_backward_time: 123.4670181274, weight_update_time: 0.1583943665, other_time: 4.8727798462
epoch time: 16.5522823334s, input_fired_time: 1.1228448153, output_fired_time: 0.0000000000, propagate_forward_time: 13.9497051239, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4797325134
validation[          , genome  7105] predictions:    9753/  10000 (97.53%), best:    9783/10000 (97.83%), error:       835.10541, best error:       770.82800 on epoch:    71, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 207.1346893311s, input_fired_time: 1.9458361864, output_fired_time: 2.6561038494, propagate_forward_time: 80.2903747559, propagate_backward_time: 114.4675827026, weight_update_time: 0.2041787356, other_time: 7.7748031616
epoch time: 17.6729068756s, input_fired_time: 0.1157503352, output_fired_time: 0.0000000000, propagate_forward_time: 17.0662899017, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4908657074
validation[          , genome  7105] predictions:    9753/  10000 (97.53%), best:    9783/10000 (97.83%), error:       842.80005, best error:       770.82800 on epoch:    71, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 201.6383209229s, input_fired_time: 0.9366851449, output_fired_time: 4.7757010460, propagate_forward_time: 72.4349136353, propagate_backward_time: 117.8538818359, weight_update_time: 0.1622478366, other_time: 5.6371383667
epoch time: 15.3425054550s, input_fired_time: 2.1111278534, output_fired_time: 0.0000000000, propagate_forward_time: 12.7961540222, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4352235794
validation[          , genome  7105] predictions:    9761/  10000 (97.61%), best:    9783/10000 (97.83%), error:       821.69366, best error:       770.82800 on epoch:    71, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 199.7230529785s, input_fired_time: 0.8989788294, output_fired_time: 0.7098637819, propagate_forward_time: 81.4632492065, propagate_backward_time: 112.0372161865, weight_update_time: 2.1511957645, other_time: 4.6137466431
epoch time: 16.6663513184s, input_fired_time: 0.1157601997, output_fired_time: 0.0000000000, propagate_forward_time: 12.0366334915, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5139570236
validation[          , genome  7105] predictions:    9749/  10000 (97.49%), best:    9783/10000 (97.83%), error:       874.98474, best error:       770.82800 on epoch:    71, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 197.9477996826s, input_fired_time: 2.9082756042, output_fired_time: 0.7142148018, propagate_forward_time: 85.0898132324, propagate_backward_time: 100.6630020142, weight_update_time: 0.1464874446, other_time: 8.5724868774
epoch time: 16.3257675171s, input_fired_time: 0.1087412983, output_fired_time: 0.0000000000, propagate_forward_time: 14.7638120651, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4532136917
validation[          , genome  7105] predictions:    9767/  10000 (97.67%), best:    9783/10000 (97.83%), error:       824.82050, best error:       770.82800 on epoch:    71, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 197.8070983887s, input_fired_time: 1.9004307985, output_fired_time: 0.7272912860, propagate_forward_time: 74.5337982178, propagate_backward_time: 114.0474243164, weight_update_time: 0.1476150453, other_time: 6.5981445313
epoch time: 15.3419990540s, input_fired_time: 0.1144616902, output_fired_time: 0.0000000000, propagate_forward_time: 14.7709503174, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4565868378
validation[          , genome  7105] predictions:    9760/  10000 (97.60%), best:    9783/10000 (97.83%), error:       813.43402, best error:       770.82800 on epoch:    71, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 205.2984771729s, input_fired_time: 0.9105266929, output_fired_time: 6.7413277626, propagate_forward_time: 79.5555572510, propagate_backward_time: 112.4454040527, weight_update_time: 0.1638621837, other_time: 5.6456604004
epoch time: 15.1564950943s, input_fired_time: 0.1226483807, output_fired_time: 0.0000000000, propagate_forward_time: 12.6849327087, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3489141464
validation[          , genome  7105] predictions:    9768/  10000 (97.68%), best:    9783/10000 (97.83%), error:       811.18604, best error:       770.82800 on epoch:    71, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 208.1259613037s, input_fired_time: 1.9314517975, output_fired_time: 2.7954001427, propagate_forward_time: 77.7932434082, propagate_backward_time: 117.7517242432, weight_update_time: 0.1652074307, other_time: 7.8541412354
epoch time: 16.4650802612s, input_fired_time: 0.1140663177, output_fired_time: 0.0000000000, propagate_forward_time: 14.8981103897, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4529027939
validation[          , genome  7105] predictions:    9762/  10000 (97.62%), best:    9783/10000 (97.83%), error:       810.73016, best error:       770.82800 on epoch:    71, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 209.9480743408s, input_fired_time: 1.0085861683, output_fired_time: 2.7472105026, propagate_forward_time: 66.9286270142, propagate_backward_time: 136.5787658691, weight_update_time: 0.1524298787, other_time: 2.6848754883
epoch time: 17.4306545258s, input_fired_time: 0.1250151545, output_fired_time: 0.0000000000, propagate_forward_time: 15.8300724030, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4755668640
validation[          , genome  7105] predictions:    9769/  10000 (97.69%), best:    9783/10000 (97.83%), error:       827.97406, best error:       770.82800 on epoch:    71, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 200.1299743652s, input_fired_time: 1.9610854387, output_fired_time: 1.6947199106, propagate_forward_time: 83.6746597290, propagate_backward_time: 110.0837402344, weight_update_time: 0.1617516428, other_time: 2.7157669067
epoch time: 15.1925802231s, input_fired_time: 0.1131183729, output_fired_time: 0.0000000000, propagate_forward_time: 14.6260128021, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4534492493
validation[          , genome  7105] predictions:    9757/  10000 (97.57%), best:    9783/10000 (97.83%), error:       821.39905, best error:       770.82800 on epoch:    71, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 190.6142425537s, input_fired_time: 0.9047042727, output_fired_time: 1.6956911087, propagate_forward_time: 75.2622604370, propagate_backward_time: 108.2698440552, weight_update_time: 0.1396939605, other_time: 4.4817352295
epoch time: 14.9929857254s, input_fired_time: 1.1146043539, output_fired_time: 0.0000000000, propagate_forward_time: 13.4535465240, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4248352051
validation[          , genome  7105] predictions:    9777/  10000 (97.77%), best:    9783/10000 (97.83%), error:       788.58215, best error:       770.82800 on epoch:    71, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 189.9813079834s, input_fired_time: 0.8983876109, output_fired_time: 0.6757727265, propagate_forward_time: 60.0638732910, propagate_backward_time: 119.8495025635, weight_update_time: 1.1509230137, other_time: 8.4937744141
epoch time: 15.0691299438s, input_fired_time: 0.1128203049, output_fired_time: 0.0000000000, propagate_forward_time: 14.4962921143, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4600172043
validation[          , genome  7105] predictions:    9704/  10000 (97.04%), best:    9783/10000 (97.83%), error:      1012.47144, best error:       770.82800 on epoch:    71, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 190.4725799561s, input_fired_time: 0.9098861217, output_fired_time: 0.7032529712, propagate_forward_time: 65.9050521851, propagate_backward_time: 109.4261779785, weight_update_time: 2.1538600922, other_time: 13.5282211304
epoch time: 15.3751811981s, input_fired_time: 0.1164827123, output_fired_time: 0.0000000000, propagate_forward_time: 14.8208446503, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4378538132
validation[          , genome  7105] predictions:    9730/  10000 (97.30%), best:    9783/10000 (97.83%), error:       933.59204, best error:       770.82800 on epoch:    71, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 197.1229705811s, input_fired_time: 1.9085776806, output_fired_time: 0.7197371125, propagate_forward_time: 71.2347640991, propagate_backward_time: 114.6782608032, weight_update_time: 0.1470815688, other_time: 8.5816192627
epoch time: 17.6795139313s, input_fired_time: 0.1338957250, output_fired_time: 0.0000000000, propagate_forward_time: 17.0694561005, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4761619568
validation[          , genome  7105] predictions:    9666/  10000 (96.66%), best:    9783/10000 (97.83%), error:      1158.77563, best error:       770.82800 on epoch:    71, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 190.6418609619s, input_fired_time: 0.9270455241, output_fired_time: 2.7555170059, propagate_forward_time: 66.2155990601, propagate_backward_time: 118.3539199829, weight_update_time: 0.1433423162, other_time: 2.3897705078
epoch time: 17.2762813568s, input_fired_time: 1.1674581766, output_fired_time: 0.0000000000, propagate_forward_time: 15.5902595520, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5185642242
validation[          , genome  7105] predictions:    9756/  10000 (97.56%), best:    9783/10000 (97.83%), error:       846.70380, best error:       770.82800 on epoch:    71, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 202.5452728271s, input_fired_time: 4.0229158401, output_fired_time: 0.7593091130, propagate_forward_time: 76.6967773438, propagate_backward_time: 113.2705917358, weight_update_time: 0.1468095928, other_time: 7.7956771851
epoch time: 15.1596651077s, input_fired_time: 2.1178612709, output_fired_time: 0.0000000000, propagate_forward_time: 11.5887022018, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4531011581
validation[          , genome  7105] predictions:    9755/  10000 (97.55%), best:    9783/10000 (97.83%), error:       852.18622, best error:       770.82800 on epoch:    71, epoch:  100/100, mu: 0.9870989323, learning_rate: 0.0000740065, weight_decay: 0.0000029603

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 77.1115493774s, input_fired_time: 1.5562750101, output_fired_time: 0.0000000000, propagate_forward_time: 65.2460174561, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.3092575073
best training[          , genome  7105] predictions:   49597/  50000 (99.19%), best:    9783/10000 (97.83%), error:      1570.19092, best error:       770.82800 on epoch:    71, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 15.3222694397s, input_fired_time: 0.1121089086, output_fired_time: 0.0000000000, propagate_forward_time: 14.6653881073, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5447721481
   testing[          , genome  7105] predictions:    9788/  10000 (97.88%), best:    9783/10000 (97.83%), error:       671.61426, best error:       770.82800 on epoch:    71, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
19:07:50 (10092): called boinc_finish(0)

</stderr_txt>
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