Nameexact_genome_1512568488_44_7132_1
Workunit2606980
Created8 Dec 2017, 0:03:04 UTC
Sent8 Dec 2017, 0:11:54 UTC
Report deadline20 Dec 2017, 22:06:08 UTC
Received9 Dec 2017, 12:07:39 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID4230
Run time6 hours 49 min 6 sec
CPU time6 hours 9 min 43 sec
Validate stateValid
Credit3,228.17
Device peak FLOPS2.72 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size157.31 MB
Peak swap size160.30 MB
Peak disk usage2.31 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
e: 2.1825723648, propagate_forward_time: 80.8051605225, propagate_backward_time: 125.0706787109, weight_update_time: 0.1907523572, other_time: 3.2312927246
epoch time: 16.0452289581s, input_fired_time: 0.2690073550, output_fired_time: 0.0000000000, propagate_forward_time: 15.2335643768, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5426568985
validation[          , genome  7132] predictions:    9779/  10000 (97.79%), best:    9794/10000 (97.94%), error:       748.15649, best error:       730.84393 on epoch:    24, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 213.6602478027s, input_fired_time: 2.4707314968, output_fired_time: 2.2113873959, propagate_forward_time: 80.9754028320, propagate_backward_time: 124.7794647217, weight_update_time: 0.1793085188, other_time: 3.2232666016
epoch time: 16.0720043182s, input_fired_time: 0.2916445434, output_fired_time: 0.0000000000, propagate_forward_time: 15.2397336960, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5406265259
validation[          , genome  7132] predictions:    9759/  10000 (97.59%), best:    9794/10000 (97.94%), error:       789.29230, best error:       730.84393 on epoch:    24, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 212.6307373047s, input_fired_time: 2.3604004383, output_fired_time: 2.1480460167, propagate_forward_time: 80.5462722778, propagate_backward_time: 124.3939971924, weight_update_time: 0.1813947260, other_time: 3.1820297241
epoch time: 16.8503742218s, input_fired_time: 0.2633321583, output_fired_time: 0.0000000000, propagate_forward_time: 16.0186786652, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5683631897
validation[          , genome  7132] predictions:    9767/  10000 (97.67%), best:    9794/10000 (97.94%), error:       777.87231, best error:       730.84393 on epoch:    24, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 210.1401367188s, input_fired_time: 2.4105441570, output_fired_time: 2.1656363010, propagate_forward_time: 79.4868850708, propagate_backward_time: 122.9291839600, weight_update_time: 0.2189672291, other_time: 3.1478958130
epoch time: 19.1749000549s, input_fired_time: 0.3092607856, output_fired_time: 0.0000000000, propagate_forward_time: 18.1836185455, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6820201874
validation[          , genome  7132] predictions:    9738/  10000 (97.38%), best:    9794/10000 (97.94%), error:       829.59253, best error:       730.84393 on epoch:    24, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 211.4609680176s, input_fired_time: 2.3646485806, output_fired_time: 2.1558179855, propagate_forward_time: 80.0849914551, propagate_backward_time: 123.7155456543, weight_update_time: 0.2002633512, other_time: 3.1399536133
epoch time: 16.9719486237s, input_fired_time: 0.2844816744, output_fired_time: 0.0000000000, propagate_forward_time: 16.0765132904, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6109542847
validation[          , genome  7132] predictions:    9779/  10000 (97.79%), best:    9794/10000 (97.94%), error:       777.65198, best error:       730.84393 on epoch:    24, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 212.8821411133s, input_fired_time: 2.3374509811, output_fired_time: 2.1003756523, propagate_forward_time: 80.7499923706, propagate_backward_time: 124.4508743286, weight_update_time: 0.1811924279, other_time: 3.2434539795
epoch time: 16.0071163177s, input_fired_time: 0.2585066557, output_fired_time: 0.0000000000, propagate_forward_time: 15.2066202164, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5419893265
validation[          , genome  7132] predictions:    9735/  10000 (97.35%), best:    9794/10000 (97.94%), error:       908.79144, best error:       730.84393 on epoch:    24, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 213.8133087158s, input_fired_time: 2.3690314293, output_fired_time: 2.2721672058, propagate_forward_time: 81.0586318970, propagate_backward_time: 124.9620208740, weight_update_time: 0.1800729334, other_time: 3.1514434814
epoch time: 16.0236721039s, input_fired_time: 0.2536725402, output_fired_time: 0.0000000000, propagate_forward_time: 15.2102413177, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5597581863
validation[          , genome  7132] predictions:    9693/  10000 (96.93%), best:    9794/10000 (97.94%), error:       981.00732, best error:       730.84393 on epoch:    24, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 213.1632995605s, input_fired_time: 2.3835628033, output_fired_time: 2.1908874512, propagate_forward_time: 80.7255630493, propagate_backward_time: 124.6565017700, weight_update_time: 0.2022129595, other_time: 3.2067871094
epoch time: 15.9968738556s, input_fired_time: 0.2543914616, output_fired_time: 0.0000000000, propagate_forward_time: 15.2035121918, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5389699936
validation[          , genome  7132] predictions:    9747/  10000 (97.47%), best:    9794/10000 (97.94%), error:       797.58563, best error:       730.84393 on epoch:    24, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 211.8375549316s, input_fired_time: 2.3583438396, output_fired_time: 2.1976311207, propagate_forward_time: 80.5526275635, propagate_backward_time: 123.5818176270, weight_update_time: 0.1803848892, other_time: 3.1471405029
epoch time: 17.9586315155s, input_fired_time: 0.2908180654, output_fired_time: 0.0000000000, propagate_forward_time: 17.0750102997, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5928039551
validation[          , genome  7132] predictions:    9777/  10000 (97.77%), best:    9794/10000 (97.94%), error:       762.31458, best error:       730.84393 on epoch:    24, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 210.8512878418s, input_fired_time: 2.3869919777, output_fired_time: 2.1269357204, propagate_forward_time: 79.9166488647, propagate_backward_time: 123.2727432251, weight_update_time: 0.1801600456, other_time: 3.1479644775
epoch time: 19.1294479370s, input_fired_time: 0.3418235183, output_fired_time: 0.0000000000, propagate_forward_time: 18.1115798950, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6760444641
validation[          , genome  7132] predictions:    9792/  10000 (97.92%), best:    9792/10000 (97.92%), error:       724.07526, best error:       724.07526 on epoch:    38, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 210.2892608643s, input_fired_time: 2.4079873562, output_fired_time: 2.1747093201, propagate_forward_time: 79.5958480835, propagate_backward_time: 122.9592437744, weight_update_time: 0.1897974908, other_time: 3.1514663696
epoch time: 16.0576915741s, input_fired_time: 0.2579447627, output_fired_time: 0.0000000000, propagate_forward_time: 15.2563591003, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5433874130
validation[          , genome  7132] predictions:    9749/  10000 (97.49%), best:    9792/10000 (97.92%), error:       756.43988, best error:       724.07526 on epoch:    38, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 213.3886108398s, input_fired_time: 2.3767066002, output_fired_time: 2.1243224144, propagate_forward_time: 80.7053146362, propagate_backward_time: 124.9644393921, weight_update_time: 0.2114220858, other_time: 3.2178115845
epoch time: 16.0238838196s, input_fired_time: 0.2667899132, output_fired_time: 0.0000000000, propagate_forward_time: 15.2177734375, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5393199921
validation[          , genome  7132] predictions:    9755/  10000 (97.55%), best:    9792/10000 (97.92%), error:       815.08618, best error:       724.07526 on epoch:    38, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 213.7714233398s, input_fired_time: 2.4222075939, output_fired_time: 2.1882700920, propagate_forward_time: 80.8153610229, propagate_backward_time: 125.0753479004, weight_update_time: 0.2015281320, other_time: 3.2702331543
epoch time: 15.9748220444s, input_fired_time: 0.2624136209, output_fired_time: 0.0000000000, propagate_forward_time: 15.1690225601, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5433855057
validation[          , genome  7132] predictions:    9783/  10000 (97.83%), best:    9783/10000 (97.83%), error:       710.69421, best error:       710.69421 on epoch:    41, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 213.9232940674s, input_fired_time: 2.3928155899, output_fired_time: 2.2069070339, propagate_forward_time: 80.9428482056, propagate_backward_time: 125.0845947266, weight_update_time: 0.2026758939, other_time: 3.2961120605
epoch time: 16.0010185242s, input_fired_time: 0.2574493587, output_fired_time: 0.0000000000, propagate_forward_time: 15.2005605698, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5430088043
validation[          , genome  7132] predictions:    9783/  10000 (97.83%), best:    9783/10000 (97.83%), error:       719.86011, best error:       710.69421 on epoch:    41, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 210.9806823730s, input_fired_time: 2.4139111042, output_fired_time: 2.3017923832, propagate_forward_time: 79.7058410645, propagate_backward_time: 123.4345245361, weight_update_time: 0.1804181039, other_time: 3.1246185303
epoch time: 18.8954639435s, input_fired_time: 0.3625160456, output_fired_time: 0.0000000000, propagate_forward_time: 17.8913269043, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6416206360
validation[          , genome  7132] predictions:    9756/  10000 (97.56%), best:    9783/10000 (97.83%), error:       836.07062, best error:       710.69421 on epoch:    41, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 210.4761657715s, input_fired_time: 2.3197810650, output_fired_time: 2.1403858662, propagate_forward_time: 79.6421966553, propagate_backward_time: 123.2746582031, weight_update_time: 0.1970034689, other_time: 3.0991516113
epoch time: 18.2270641327s, input_fired_time: 0.3284510672, output_fired_time: 0.0000000000, propagate_forward_time: 17.2699203491, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6286926270
validation[          , genome  7132] predictions:    9772/  10000 (97.72%), best:    9783/10000 (97.83%), error:       787.54956, best error:       710.69421 on epoch:    41, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 211.3295135498s, input_fired_time: 2.3470954895, output_fired_time: 2.2040205002, propagate_forward_time: 79.8771438599, propagate_backward_time: 123.7605590820, weight_update_time: 0.1905270964, other_time: 3.1406936646
epoch time: 16.0430469513s, input_fired_time: 0.2573499382, output_fired_time: 0.0000000000, propagate_forward_time: 15.2340164185, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5516805649
validation[          , genome  7132] predictions:    9779/  10000 (97.79%), best:    9783/10000 (97.83%), error:       765.07397, best error:       710.69421 on epoch:    41, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 213.8107147217s, input_fired_time: 2.3749759197, output_fired_time: 2.2447888851, propagate_forward_time: 80.6447982788, propagate_backward_time: 125.3652725220, weight_update_time: 0.1800269485, other_time: 3.1809005737
epoch time: 16.1065845490s, input_fired_time: 0.2571485937, output_fired_time: 0.0000000000, propagate_forward_time: 15.2899379730, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5594978333
validation[          , genome  7132] predictions:    9736/  10000 (97.36%), best:    9783/10000 (97.83%), error:       785.54865, best error:       710.69421 on epoch:    41, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 213.4229736328s, input_fired_time: 2.4303996563, output_fired_time: 2.1659989357, propagate_forward_time: 80.7505569458, propagate_backward_time: 124.9032669067, weight_update_time: 0.1876578778, other_time: 3.1727523804
epoch time: 16.0358543396s, input_fired_time: 0.2568393350, output_fired_time: 0.0000000000, propagate_forward_time: 15.2267637253, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5522508621
validation[          , genome  7132] predictions:    9788/  10000 (97.88%), best:    9783/10000 (97.83%), error:       723.34857, best error:       710.69421 on epoch:    41, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 213.0468444824s, input_fired_time: 2.3782334328, output_fired_time: 2.2381472588, propagate_forward_time: 80.5467681885, propagate_backward_time: 124.6938247681, weight_update_time: 0.1863926649, other_time: 3.1898727417
epoch time: 16.7353324890s, input_fired_time: 0.2875105739, output_fired_time: 0.0000000000, propagate_forward_time: 15.8777656555, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5700569153
validation[          , genome  7132] predictions:    9790/  10000 (97.90%), best:    9790/10000 (97.90%), error:       697.84357, best error:       697.84357 on epoch:    48, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 210.6040344238s, input_fired_time: 2.3617923260, output_fired_time: 2.2259075642, propagate_forward_time: 79.8115234375, propagate_backward_time: 123.0868377686, weight_update_time: 0.1808583587, other_time: 3.1179809570
epoch time: 19.2559432983s, input_fired_time: 0.3471875787, output_fired_time: 0.0000000000, propagate_forward_time: 18.2496986389, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6590576172
validation[          , genome  7132] predictions:    9786/  10000 (97.86%), best:    9790/10000 (97.90%), error:       738.52142, best error:       697.84357 on epoch:    48, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 210.8262634277s, input_fired_time: 2.4087636471, output_fired_time: 2.1442139149, propagate_forward_time: 79.8986282349, propagate_backward_time: 123.2252655029, weight_update_time: 0.2125036269, other_time: 3.1493911743
epoch time: 17.2050151825s, input_fired_time: 0.2584264576, output_fired_time: 0.0000000000, propagate_forward_time: 16.3491325378, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5974559784
validation[          , genome  7132] predictions:    9782/  10000 (97.82%), best:    9790/10000 (97.90%), error:       702.38397, best error:       697.84357 on epoch:    48, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 212.3481292725s, input_fired_time: 2.4099886417, output_fired_time: 2.1962420940, propagate_forward_time: 80.2370147705, propagate_backward_time: 124.3350830078, weight_update_time: 0.2055132240, other_time: 3.1697998047
epoch time: 15.9936332703s, input_fired_time: 0.2717469037, output_fired_time: 0.0000000000, propagate_forward_time: 15.1700496674, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5518369675
validation[          , genome  7132] predictions:    9787/  10000 (97.87%), best:    9790/10000 (97.90%), error:       725.79657, best error:       697.84357 on epoch:    48, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 213.3590240479s, input_fired_time: 2.2843010426, output_fired_time: 2.2150397301, propagate_forward_time: 81.0331268311, propagate_backward_time: 124.7122268677, weight_update_time: 0.1915498972, other_time: 3.1143264771
epoch time: 16.0104084015s, input_fired_time: 0.2572125793, output_fired_time: 0.0000000000, propagate_forward_time: 15.2158069611, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5373888016
validation[          , genome  7132] predictions:    9752/  10000 (97.52%), best:    9790/10000 (97.90%), error:       801.88495, best error:       697.84357 on epoch:    48, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 244.7505950928s, input_fired_time: 2.7551972866, output_fired_time: 2.6057260036, propagate_forward_time: 91.8109359741, propagate_backward_time: 143.6976165771, weight_update_time: 0.2453611344, other_time: 3.8811187744
epoch time: 21.1204357147s, input_fired_time: 0.3179211915, output_fired_time: 0.0000000000, propagate_forward_time: 20.1513900757, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6511249542
validation[          , genome  7132] predictions:    9809/  10000 (98.09%), best:    9809/10000 (98.09%), error:       657.36316, best error:       657.36316 on epoch:    53, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 229.0014801025s, input_fired_time: 2.6195344925, output_fired_time: 2.4128789902, propagate_forward_time: 86.1167602539, propagate_backward_time: 134.3535003662, weight_update_time: 0.2106192559, other_time: 3.4988098145
epoch time: 23.7696418762s, input_fired_time: 0.3559010327, output_fired_time: 0.0000000000, propagate_forward_time: 22.5444431305, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8692970276
validation[          , genome  7132] predictions:    9758/  10000 (97.58%), best:    9809/10000 (98.09%), error:       827.65723, best error:       657.36316 on epoch:    53, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 243.6765594482s, input_fired_time: 2.8578181267, output_fired_time: 2.4232506752, propagate_forward_time: 91.1712722778, propagate_backward_time: 143.5149688721, weight_update_time: 0.2420759350, other_time: 3.7092437744
epoch time: 17.7332935333s, input_fired_time: 0.3250107467, output_fired_time: 0.0000000000, propagate_forward_time: 16.8035640717, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6047191620
validation[          , genome  7132] predictions:    9766/  10000 (97.66%), best:    9809/10000 (98.09%), error:       743.73120, best error:       657.36316 on epoch:    53, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 242.2771453857s, input_fired_time: 2.8615696430, output_fired_time: 2.5317821503, propagate_forward_time: 90.4067306519, propagate_backward_time: 142.5839691162, weight_update_time: 0.2025435269, other_time: 3.8930816650
epoch time: 18.2832164764s, input_fired_time: 0.2949537635, output_fired_time: 0.0000000000, propagate_forward_time: 17.3121566772, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6761054993
validation[          , genome  7132] predictions:    9798/  10000 (97.98%), best:    9809/10000 (98.09%), error:       665.35553, best error:       657.36316 on epoch:    53, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 240.3777465820s, input_fired_time: 2.7844767570, output_fired_time: 2.5294511318, propagate_forward_time: 90.1326522827, propagate_backward_time: 141.1935882568, weight_update_time: 0.2083615810, other_time: 3.7375946045
epoch time: 18.0616188049s, input_fired_time: 0.2955831587, output_fired_time: 0.0000000000, propagate_forward_time: 17.1495666504, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6164684296
validation[          , genome  7132] predictions:    9812/  10000 (98.12%), best:    9809/10000 (98.09%), error:       664.84430, best error:       657.36316 on epoch:    53, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 213.8166656494s, input_fired_time: 2.4327926636, output_fired_time: 2.2616081238, propagate_forward_time: 80.6112823486, propagate_backward_time: 125.2366561890, weight_update_time: 0.1861610711, other_time: 3.2743301392
epoch time: 19.4673442841s, input_fired_time: 0.3349427283, output_fired_time: 0.0000000000, propagate_forward_time: 18.4807834625, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6516189575
validation[          , genome  7132] predictions:    9757/  10000 (97.57%), best:    9809/10000 (98.09%), error:       800.54114, best error:       657.36316 on epoch:    53, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 213.5589294434s, input_fired_time: 2.4780013561, output_fired_time: 2.1782288551, propagate_forward_time: 80.7500000000, propagate_backward_time: 124.8596343994, weight_update_time: 0.1959146410, other_time: 3.2930755615
epoch time: 18.7307548523s, input_fired_time: 0.2893981934, output_fired_time: 0.0000000000, propagate_forward_time: 17.8187866211, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6225700378
validation[          , genome  7132] predictions:    9741/  10000 (97.41%), best:    9809/10000 (98.09%), error:       876.58136, best error:       657.36316 on epoch:    53, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 221.1705474854s, input_fired_time: 2.4775080681, output_fired_time: 2.3641536236, propagate_forward_time: 83.4791336060, propagate_backward_time: 129.5509338379, weight_update_time: 0.2098076940, other_time: 3.2988281250
epoch time: 19.6275844574s, input_fired_time: 0.2820427716, output_fired_time: 0.0000000000, propagate_forward_time: 18.6947078705, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6508331299
validation[          , genome  7132] predictions:    9811/  10000 (98.11%), best:    9809/10000 (98.09%), error:       690.92627, best error:       657.36316 on epoch:    53, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 222.0323944092s, input_fired_time: 2.4986431599, output_fired_time: 2.2917511463, propagate_forward_time: 83.8518295288, propagate_backward_time: 129.9806060791, weight_update_time: 0.1997643262, other_time: 3.4095611572
epoch time: 19.3627262115s, input_fired_time: 0.3128123581, output_fired_time: 0.0000000000, propagate_forward_time: 18.3905334473, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6593799591
validation[          , genome  7132] predictions:    9747/  10000 (97.47%), best:    9809/10000 (98.09%), error:       897.11401, best error:       657.36316 on epoch:    53, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 221.9613342285s, input_fired_time: 2.5511500835, output_fired_time: 2.1797628403, propagate_forward_time: 83.7325134277, propagate_backward_time: 130.0704040527, weight_update_time: 0.2199029922, other_time: 3.4275054932
epoch time: 19.7334880829s, input_fired_time: 0.3580671847, output_fired_time: 0.0000000000, propagate_forward_time: 18.6873817444, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6880397797
validation[          , genome  7132] predictions:    9775/  10000 (97.75%), best:    9809/10000 (98.09%), error:       782.00433, best error:       657.36316 on epoch:    53, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 218.2469787598s, input_fired_time: 2.4433722496, output_fired_time: 2.4020149708, propagate_forward_time: 81.8466873169, propagate_backward_time: 128.1516418457, weight_update_time: 0.2037692517, other_time: 3.4032592773
epoch time: 21.9974880219s, input_fired_time: 0.3292543590, output_fired_time: 0.0000000000, propagate_forward_time: 20.9040374756, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7641963959
validation[          , genome  7132] predictions:    9766/  10000 (97.66%), best:    9809/10000 (98.09%), error:       809.56323, best error:       657.36316 on epoch:    53, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 241.2719726563s, input_fired_time: 2.7645411491, output_fired_time: 2.4306175709, propagate_forward_time: 89.4601898193, propagate_backward_time: 142.8690795898, weight_update_time: 0.2251031101, other_time: 3.7475433350
epoch time: 23.7531681061s, input_fired_time: 0.4241748154, output_fired_time: 0.0000000000, propagate_forward_time: 22.2607955933, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0681972504
validation[          , genome  7132] predictions:    9778/  10000 (97.78%), best:    9809/10000 (98.09%), error:       744.09503, best error:       657.36316 on epoch:    53, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 258.9752197266s, input_fired_time: 2.8650796413, output_fired_time: 2.9414067268, propagate_forward_time: 96.4476013184, propagate_backward_time: 152.5941925049, weight_update_time: 0.2240074277, other_time: 4.1269378662
epoch time: 23.5555667877s, input_fired_time: 0.5055927038, output_fired_time: 0.0000000000, propagate_forward_time: 22.1651630402, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8848114014
validation[          , genome  7132] predictions:    9778/  10000 (97.78%), best:    9809/10000 (98.09%), error:       719.64691, best error:       657.36316 on epoch:    53, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 244.9687805176s, input_fired_time: 3.0861978531, output_fired_time: 2.6506195068, propagate_forward_time: 91.9258956909, propagate_backward_time: 143.5996856689, weight_update_time: 0.1939407438, other_time: 3.7063751221
epoch time: 17.6834812164s, input_fired_time: 0.3173041940, output_fired_time: 0.0000000000, propagate_forward_time: 16.7782783508, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5878982544
validation[          , genome  7132] predictions:    9787/  10000 (97.87%), best:    9809/10000 (98.09%), error:       732.93634, best error:       657.36316 on epoch:    53, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_7132.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_7132_1_r302042030_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: 0.974236
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000402153
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.60861e-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: 67
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 53
read number_validation_images: 10000
read best_validation_predictions: 9809
read best_validation_error: 657.363
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: 7132
read normal distribution: '0 0.627293467521667 -0.0819175392389297'
generator_str: '1275791648'
read generator: 1275791648
read generated_by_map:
1 crossover 1
reading 30 nodes.
reading 70 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: 228.104843139648s, input_fired_time: 2.59578728675842, output_fired_time: 2.19492411613464, propagate_forward_time: 85.8486328125, propagate_backward_time: 133.905471801758, weight_update_time: 0.190460413694382, other_time: 3.56001281738281
epoch time: 16.1013088226318s, input_fired_time: 0.260937362909317, output_fired_time: 0, propagate_forward_time: 15.2830810546875, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.557290077209473
validation[          , genome  7132] predictions:    9791/  10000 (97.91%), best:    9809/10000 (98.09%), error:       739.79321, best error:       657.36316 on epoch:    53, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 214.6981964111s, input_fired_time: 2.4861252308, output_fired_time: 2.1940104961, propagate_forward_time: 81.0483169556, propagate_backward_time: 125.6827621460, weight_update_time: 0.1908435524, other_time: 3.2869644165
epoch time: 15.9969139099s, input_fired_time: 0.2583163977, output_fired_time: 0.0000000000, propagate_forward_time: 15.1940002441, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5445976257
validation[          , genome  7132] predictions:    9706/  10000 (97.06%), best:    9809/10000 (98.09%), error:       997.67883, best error:       657.36316 on epoch:    53, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 217.3343505859s, input_fired_time: 2.5038840771, output_fired_time: 2.2309744358, propagate_forward_time: 81.9746475220, propagate_backward_time: 127.4624633789, weight_update_time: 0.1856788695, other_time: 3.1623840332
epoch time: 15.9877834320s, input_fired_time: 0.2601014972, output_fired_time: 0.0000000000, propagate_forward_time: 15.1874809265, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5402011871
validation[          , genome  7132] predictions:    9763/  10000 (97.63%), best:    9809/10000 (98.09%), error:       734.29578, best error:       657.36316 on epoch:    53, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 211.8720092773s, input_fired_time: 2.4775080681, output_fired_time: 2.2259905338, propagate_forward_time: 80.0337753296, propagate_backward_time: 123.9654998779, weight_update_time: 0.1849958450, other_time: 3.1692276001
epoch time: 15.9969663620s, input_fired_time: 0.2611076534, output_fired_time: 0.0000000000, propagate_forward_time: 15.1864547729, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5494041443
validation[          , genome  7132] predictions:    9776/  10000 (97.76%), best:    9809/10000 (98.09%), error:       756.36487, best error:       657.36316 on epoch:    53, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 211.1712036133s, input_fired_time: 2.3785727024, output_fired_time: 2.1728162766, propagate_forward_time: 79.8275146484, propagate_backward_time: 123.5587310791, weight_update_time: 0.1888180226, other_time: 3.2335662842
epoch time: 18.3617000580s, input_fired_time: 0.2943303585, output_fired_time: 0.0000000000, propagate_forward_time: 17.4572849274, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6100845337
validation[          , genome  7132] predictions:    9749/  10000 (97.49%), best:    9809/10000 (98.09%), error:       818.53021, best error:       657.36316 on epoch:    53, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 211.1602630615s, input_fired_time: 2.3738512993, output_fired_time: 2.1264185905, propagate_forward_time: 79.7963256836, propagate_backward_time: 123.5274353027, weight_update_time: 0.1804796159, other_time: 3.3362274170
epoch time: 19.0080890656s, input_fired_time: 0.3125733733, output_fired_time: 0.0000000000, propagate_forward_time: 18.0371894836, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6583271027
validation[          , genome  7132] predictions:    9802/  10000 (98.02%), best:    9809/10000 (98.09%), error:       681.01648, best error:       657.36316 on epoch:    53, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 210.5175170898s, input_fired_time: 2.4063801765, output_fired_time: 2.1789402962, propagate_forward_time: 79.4744796753, propagate_backward_time: 123.3049621582, weight_update_time: 0.1798062921, other_time: 3.1527481079
epoch time: 15.9868192673s, input_fired_time: 0.2595455945, output_fired_time: 0.0000000000, propagate_forward_time: 15.1912775040, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5359964371
validation[          , genome  7132] predictions:    9771/  10000 (97.71%), best:    9809/10000 (98.09%), error:       792.61719, best error:       657.36316 on epoch:    53, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 213.7401733398s, input_fired_time: 2.4274442196, output_fired_time: 2.2510488033, propagate_forward_time: 80.6639785767, propagate_backward_time: 125.1639480591, weight_update_time: 0.1819882840, other_time: 3.2337570190
epoch time: 16.0016632080s, input_fired_time: 0.2590502203, output_fired_time: 0.0000000000, propagate_forward_time: 15.1740808487, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5685319901
validation[          , genome  7132] predictions:    9781/  10000 (97.81%), best:    9809/10000 (98.09%), error:       765.38098, best error:       657.36316 on epoch:    53, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 213.8832244873s, input_fired_time: 2.4334931374, output_fired_time: 2.2644159794, propagate_forward_time: 80.9260635376, propagate_backward_time: 125.1563796997, weight_update_time: 0.1803917289, other_time: 3.1028671265
epoch time: 15.9895820618s, input_fired_time: 0.2620189786, output_fired_time: 0.0000000000, propagate_forward_time: 15.1799659729, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5475969315
validation[          , genome  7132] predictions:    9765/  10000 (97.65%), best:    9809/10000 (98.09%), error:       778.92010, best error:       657.36316 on epoch:    53, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 213.5931243896s, input_fired_time: 2.4817261696, output_fired_time: 2.2665941715, propagate_forward_time: 80.5702590942, propagate_backward_time: 125.0366668701, weight_update_time: 0.1792950928, other_time: 3.2378692627
epoch time: 16.0261955261s, input_fired_time: 0.2646656632, output_fired_time: 0.0000000000, propagate_forward_time: 15.2223291397, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5392007828
validation[          , genome  7132] predictions:    9801/  10000 (98.01%), best:    9809/10000 (98.09%), error:       701.72058, best error:       657.36316 on epoch:    53, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 210.4026489258s, input_fired_time: 2.4268326759, output_fired_time: 2.1598269939, propagate_forward_time: 79.4737167358, propagate_backward_time: 123.1756362915, weight_update_time: 0.2153278589, other_time: 3.1666412354
epoch time: 19.0670013428s, input_fired_time: 0.3213141561, output_fired_time: 0.0000000000, propagate_forward_time: 18.1097354889, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6359519958
validation[          , genome  7132] predictions:    9802/  10000 (98.02%), best:    9809/10000 (98.09%), error:       678.75916, best error:       657.36316 on epoch:    53, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 207.7272491455s, input_fired_time: 2.3451824188, output_fired_time: 2.1365561485, propagate_forward_time: 78.6317214966, propagate_backward_time: 121.5189361572, weight_update_time: 0.1997432858, other_time: 3.0948562622
epoch time: 16.6848468781s, input_fired_time: 0.3046370149, output_fired_time: 0.0000000000, propagate_forward_time: 15.8151245117, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5650844574
validation[          , genome  7132] predictions:    9763/  10000 (97.63%), best:    9809/10000 (98.09%), error:       789.23383, best error:       657.36316 on epoch:    53, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 213.0018157959s, input_fired_time: 2.3816130161, output_fired_time: 2.2224173546, propagate_forward_time: 80.5405349731, propagate_backward_time: 124.6492614746, weight_update_time: 0.2215419412, other_time: 3.2080001831
epoch time: 15.9821987152s, input_fired_time: 0.2613371611, output_fired_time: 0.0000000000, propagate_forward_time: 15.1716556549, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5492057800
validation[          , genome  7132] predictions:    9757/  10000 (97.57%), best:    9809/10000 (98.09%), error:       851.20972, best error:       657.36316 on epoch:    53, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 213.5850982666s, input_fired_time: 2.4478111267, output_fired_time: 2.2351765633, propagate_forward_time: 80.7514190674, propagate_backward_time: 125.0077438354, weight_update_time: 0.2029691786, other_time: 3.1429367065
epoch time: 16.0181655884s, input_fired_time: 0.2866431177, output_fired_time: 0.0000000000, propagate_forward_time: 15.1950426102, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5364799500
validation[          , genome  7132] predictions:    9665/  10000 (96.65%), best:    9809/10000 (98.09%), error:      1094.35461, best error:       657.36316 on epoch:    53, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 213.5347900391s, input_fired_time: 2.4417107105, output_fired_time: 2.2271857262, propagate_forward_time: 80.5945053101, propagate_backward_time: 125.0429382324, weight_update_time: 0.2010078430, other_time: 3.2284545898
epoch time: 16.0094261169s, input_fired_time: 0.2636719644, output_fired_time: 0.0000000000, propagate_forward_time: 15.2007732391, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5449810028
validation[          , genome  7132] predictions:    9799/  10000 (97.99%), best:    9799/10000 (97.99%), error:       653.23669, best error:       653.23669 on epoch:    81, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 211.6941680908s, input_fired_time: 2.3579959869, output_fired_time: 2.1790640354, propagate_forward_time: 80.1980667114, propagate_backward_time: 123.8332748413, weight_update_time: 0.1857963502, other_time: 3.1257629395
epoch time: 18.1434001923s, input_fired_time: 0.3579353988, output_fired_time: 0.0000000000, propagate_forward_time: 17.1529293060, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6325359344
validation[          , genome  7132] predictions:    9783/  10000 (97.83%), best:    9799/10000 (97.99%), error:       721.59717, best error:       653.23669 on epoch:    81, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 210.3614959717s, input_fired_time: 2.4668164253, output_fired_time: 2.2203807831, propagate_forward_time: 79.4005813599, propagate_backward_time: 123.1564712524, weight_update_time: 0.1951251924, other_time: 3.1172485352
epoch time: 18.8782691956s, input_fired_time: 0.2973265946, output_fired_time: 0.0000000000, propagate_forward_time: 17.8923492432, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6885929108
validation[          , genome  7132] predictions:    9765/  10000 (97.65%), best:    9799/10000 (97.99%), error:       777.76672, best error:       653.23669 on epoch:    81, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 210.4019775391s, input_fired_time: 2.3814439774, output_fired_time: 2.1777234077, propagate_forward_time: 79.7965011597, propagate_backward_time: 122.8786849976, weight_update_time: 0.1888378412, other_time: 3.1676330566
epoch time: 16.0119152069s, input_fired_time: 0.2633536756, output_fired_time: 0.0000000000, propagate_forward_time: 15.2072219849, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5413398743
validation[          , genome  7132] predictions:    9770/  10000 (97.70%), best:    9799/10000 (97.99%), error:       790.32751, best error:       653.23669 on epoch:    81, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 213.5840454102s, input_fired_time: 2.4672241211, output_fired_time: 2.2117009163, propagate_forward_time: 80.8695297241, propagate_backward_time: 124.8488082886, weight_update_time: 0.1926777512, other_time: 3.1867752075
epoch time: 16.0355758667s, input_fired_time: 0.2635827959, output_fired_time: 0.0000000000, propagate_forward_time: 15.2291316986, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5428609848
validation[          , genome  7132] predictions:    9793/  10000 (97.93%), best:    9799/10000 (97.99%), error:       707.15387, best error:       653.23669 on epoch:    81, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 211.5449218750s, input_fired_time: 2.4546856880, output_fired_time: 2.1256351471, propagate_forward_time: 79.9658203125, propagate_backward_time: 123.8163986206, weight_update_time: 0.1812211871, other_time: 3.1823806763
epoch time: 15.9987716675s, input_fired_time: 0.2639253736, output_fired_time: 0.0000000000, propagate_forward_time: 15.1828460693, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5520000458
validation[          , genome  7132] predictions:    9796/  10000 (97.96%), best:    9799/10000 (97.99%), error:       718.47308, best error:       653.23669 on epoch:    81, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 243.0379180908s, input_fired_time: 2.8142631054, output_fired_time: 2.4080579281, propagate_forward_time: 91.7304306030, propagate_backward_time: 142.3351135254, weight_update_time: 0.2162910104, other_time: 3.7500610352
epoch time: 17.6333694458s, input_fired_time: 0.2833262980, output_fired_time: 0.0000000000, propagate_forward_time: 16.7295875549, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6204547882
validation[          , genome  7132] predictions:    9769/  10000 (97.69%), best:    9799/10000 (97.99%), error:       772.34448, best error:       653.23669 on epoch:    81, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 253.2426300049s, input_fired_time: 2.9652190208, output_fired_time: 2.7352924347, propagate_forward_time: 94.8539581299, propagate_backward_time: 148.5122375488, weight_update_time: 0.2730223238, other_time: 4.1759185791
epoch time: 17.8256492615s, input_fired_time: 0.3146440089, output_fired_time: 0.0000000000, propagate_forward_time: 16.8669834137, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6440219879
validation[          , genome  7132] predictions:    9777/  10000 (97.77%), best:    9799/10000 (97.99%), error:       752.22284, best error:       653.23669 on epoch:    81, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 254.6752624512s, input_fired_time: 3.0769515038, output_fired_time: 2.6430764198, propagate_forward_time: 95.2631607056, propagate_backward_time: 149.8328399658, weight_update_time: 0.2190327346, other_time: 3.8592376709
epoch time: 20.7185211182s, input_fired_time: 0.3922943473, output_fired_time: 0.0000000000, propagate_forward_time: 19.5293750763, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7968521118
validation[          , genome  7132] predictions:    9763/  10000 (97.63%), best:    9799/10000 (97.99%), error:       793.84052, best error:       653.23669 on epoch:    81, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 231.9049682617s, input_fired_time: 2.7621157169, output_fired_time: 2.4032704830, propagate_forward_time: 87.3675231934, propagate_backward_time: 135.8399353027, weight_update_time: 0.2300240695, other_time: 3.5321197510
epoch time: 23.9360427856s, input_fired_time: 0.3020092547, output_fired_time: 0.0000000000, propagate_forward_time: 22.7228851318, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9111480713
validation[          , genome  7132] predictions:    9771/  10000 (97.71%), best:    9799/10000 (97.99%), error:       795.30035, best error:       653.23669 on epoch:    81, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 238.3578033447s, input_fired_time: 2.8084073067, output_fired_time: 2.5548107624, propagate_forward_time: 89.2027206421, propagate_backward_time: 140.1039428711, weight_update_time: 0.2460739017, other_time: 3.6879272461
epoch time: 16.3681011200s, input_fired_time: 0.2815488875, output_fired_time: 0.0000000000, propagate_forward_time: 15.4896726608, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5968790054
validation[          , genome  7132] predictions:    9783/  10000 (97.83%), best:    9799/10000 (97.99%), error:       728.57678, best error:       653.23669 on epoch:    81, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 217.6571350098s, input_fired_time: 2.4157254696, output_fired_time: 2.2397048473, propagate_forward_time: 82.1680221558, propagate_backward_time: 127.4635467529, weight_update_time: 0.1980160028, other_time: 3.3701324463
epoch time: 16.2719554901s, input_fired_time: 0.2744174302, output_fired_time: 0.0000000000, propagate_forward_time: 15.4346151352, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5629224777
validation[          , genome  7132] predictions:    9754/  10000 (97.54%), best:    9799/10000 (97.99%), error:       792.12213, best error:       653.23669 on epoch:    81, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 215.4975433350s, input_fired_time: 2.4407565594, output_fired_time: 2.2205612659, propagate_forward_time: 81.2112045288, propagate_backward_time: 126.3790740967, weight_update_time: 0.2176759839, other_time: 3.2459564209
epoch time: 18.2868747711s, input_fired_time: 0.3023253083, output_fired_time: 0.0000000000, propagate_forward_time: 17.3199787140, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6645698547
validation[          , genome  7132] predictions:    9697/  10000 (96.97%), best:    9799/10000 (97.99%), error:      1044.22766, best error:       653.23669 on epoch:    81, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 215.0343322754s, input_fired_time: 2.4604823589, output_fired_time: 2.2876024246, propagate_forward_time: 81.4283523560, propagate_backward_time: 125.6380233765, weight_update_time: 0.2167952806, other_time: 3.2198867798
epoch time: 20.3668689728s, input_fired_time: 0.3357072473, output_fired_time: 0.0000000000, propagate_forward_time: 19.3250923157, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7060699463
validation[          , genome  7132] predictions:    9741/  10000 (97.41%), best:    9799/10000 (97.99%), error:       846.16083, best error:       653.23669 on epoch:    81, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 267.3742065430s, input_fired_time: 3.1107311249, output_fired_time: 2.8272721767, propagate_forward_time: 99.2003326416, propagate_backward_time: 157.9518737793, weight_update_time: 0.2567947805, other_time: 4.2840118408
epoch time: 21.2470588684s, input_fired_time: 0.3464265168, output_fired_time: 0.0000000000, propagate_forward_time: 20.1598415375, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7407913208
validation[          , genome  7132] predictions:    9793/  10000 (97.93%), best:    9799/10000 (97.99%), error:       691.18311, best error:       653.23669 on epoch:    81, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 247.3744964600s, input_fired_time: 2.8376145363, output_fired_time: 2.6220257282, propagate_forward_time: 92.0291824341, propagate_backward_time: 145.9636993408, weight_update_time: 0.2045694590, other_time: 3.9219818115
epoch time: 23.7070522308s, input_fired_time: 0.5245175362, output_fired_time: 0.0000000000, propagate_forward_time: 22.3249397278, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8575954437
validation[          , genome  7132] predictions:    9790/  10000 (97.90%), best:    9799/10000 (97.99%), error:       695.85034, best error:       653.23669 on epoch:    81, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 234.1350097656s, input_fired_time: 2.6636302471, output_fired_time: 2.5238640308, propagate_forward_time: 87.9624176025, propagate_backward_time: 137.4625549316, weight_update_time: 0.2175916433, other_time: 3.5225372314
epoch time: 16.8811340332s, input_fired_time: 0.2740847170, output_fired_time: 0.0000000000, propagate_forward_time: 16.0266761780, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5803737640
validation[          , genome  7132] predictions:    9764/  10000 (97.64%), best:    9799/10000 (97.99%), error:       732.73724, best error:       653.23669 on epoch:    81, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 244.2762756348s, input_fired_time: 2.6280150414, output_fired_time: 2.4667537212, propagate_forward_time: 90.8389282227, propagate_backward_time: 144.4771575928, weight_update_time: 0.2283170521, other_time: 3.8654174805
epoch time: 22.2062129974s, input_fired_time: 0.3672959805, output_fired_time: 0.0000000000, propagate_forward_time: 20.9411239624, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8977928162
validation[          , genome  7132] predictions:    9792/  10000 (97.92%), best:    9799/10000 (97.99%), error:       674.83911, best error:       653.23669 on epoch:    81, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 236.6273345947s, input_fired_time: 2.7299408913, output_fired_time: 2.4182617664, propagate_forward_time: 88.8534088135, propagate_backward_time: 139.0611114502, weight_update_time: 0.2371963114, other_time: 3.5646209717
epoch time: 16.7358493805s, input_fired_time: 0.2788164914, output_fired_time: 0.0000000000, propagate_forward_time: 15.8516254425, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6054077148
validation[          , genome  7132] predictions:    9805/  10000 (98.05%), best:    9799/10000 (97.99%), error:       700.91089, best error:       653.23669 on epoch:    81, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 239.1246337891s, input_fired_time: 2.9147062302, output_fired_time: 2.5273134708, propagate_forward_time: 89.2213439941, propagate_backward_time: 140.7145233154, weight_update_time: 0.2288050056, other_time: 3.7467498779
epoch time: 17.9499797821s, input_fired_time: 0.2977766693, output_fired_time: 0.0000000000, propagate_forward_time: 17.0010795593, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6511230469
validation[          , genome  7132] predictions:    9733/  10000 (97.33%), best:    9799/10000 (97.99%), error:       890.56555, best error:       653.23669 on epoch:    81, 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: 98.0185394287s, input_fired_time: 1.7229555845, output_fired_time: 0.0000000000, propagate_forward_time: 92.6586074829, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6369781494
best training[          , genome  7132] predictions:   49836/  50000 (99.67%), best:    9799/10000 (97.99%), error:       882.35577, best error:       653.23669 on epoch:    81, 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:
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_7132.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_7132_1_r302042030_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: 0.987244
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 7.03062e-05
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.81225e-06
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 101
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 81
read number_validation_images: 10000
read best_validation_predictions: 9799
read best_validation_error: 653.237
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: 7132
read normal distribution: '0 0.627293467521667 -0.0819175392389297'
generator_str: '92703023'
read generator: 92703023
read generated_by_map:
1 crossover 1
reading 30 nodes.
reading 70 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: 266.177825927734s, input_fired_time: 3.13395237922668, output_fired_time: 3.04169130325317, propagate_forward_time: 98.6375045776367, propagate_backward_time: 157.331512451172, weight_update_time: 0.246394112706184, other_time: 4.03317260742188
epoch time: 19.530424118042s, input_fired_time: 0.304450184106827, output_fired_time: 0, propagate_forward_time: 18.4378337860107, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.788139343261719
validation[          , genome  7132] predictions:    9762/  10000 (97.62%), best:    9799/10000 (97.99%), error:       814.35132, best error:       653.23669 on epoch:    81, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 88.9577560425s, input_fired_time: 1.5317550898, output_fired_time: 0.0000000000, propagate_forward_time: 84.2665557861, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1594467163
best training[          , genome  7132] predictions:   49836/  50000 (99.67%), best:    9799/10000 (97.99%), error:       882.35638, best error:       653.23669 on epoch:    81, epoch:  102/100, mu: 0.9873818159, learning_rate: 0.0000667909, weight_decay: 0.0000026716
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 18.6736507416s, input_fired_time: 0.3551832736, output_fired_time: 0.0000000000, propagate_forward_time: 17.7041473389, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6143207550
   testing[          , genome  7132] predictions:    9822/  10000 (98.22%), best:    9799/10000 (97.99%), error:       568.25153, best error:       653.23669 on epoch:    81, epoch:  102/100, mu: 0.9873818159, learning_rate: 0.0000667909, weight_decay: 0.0000026716
backpropagation finished successfully!
12:07:21 (11324): called boinc_finish(0)

</stderr_txt>
]]>