Nameexact_genome_1512568488_42_4482_1
Workunit2593639
Created7 Dec 2017, 10:09:15 UTC
Sent7 Dec 2017, 10:11:50 UTC
Report deadline13 Dec 2017, 18:17:24 UTC
Received8 Dec 2017, 0:12:42 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time4 hours 35 min 54 sec
CPU time3 hours 14 min 50 sec
Validate stateInitial
Credit0.00
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size157.28 MB
Peak swap size160.20 MB
Peak disk usage2.14 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 134.2543487549s, input_fired_time: 2.0442428589, output_fired_time: 2.0653793812, propagate_forward_time: 49.6334991455, propagate_backward_time: 76.5014572144, weight_update_time: 0.2700699568, other_time: 4.0097732544
epoch time: 10.7246866226s, input_fired_time: 0.4574846327, output_fired_time: 0.0000000000, propagate_forward_time: 9.6744890213, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5927133560
validation[          , genome  4482] predictions:    9698/  10000 (96.98%), best:    9698/10000 (96.98%), error:       994.84338, best error:       994.84338 on epoch:    27, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 126.8346557617s, input_fired_time: 1.9250755310, output_fired_time: 1.5475232601, propagate_forward_time: 46.7407112122, propagate_backward_time: 72.7626953125, weight_update_time: 0.1329604387, other_time: 3.8586425781
epoch time: 9.0673227310s, input_fired_time: 0.2342382520, output_fired_time: 0.0000000000, propagate_forward_time: 8.3134384155, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5196456909
validation[          , genome  4482] predictions:    9674/  10000 (96.74%), best:    9698/10000 (96.98%), error:      1040.11011, best error:       994.84338 on epoch:    27, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 115.6689529419s, input_fired_time: 1.7244843245, output_fired_time: 1.4878584146, propagate_forward_time: 42.9708595276, propagate_backward_time: 66.1485290527, weight_update_time: 0.1322461963, other_time: 3.3372192383
epoch time: 10.1490402222s, input_fired_time: 0.4021763504, output_fired_time: 0.0000000000, propagate_forward_time: 9.1102800369, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6365842819
validation[          , genome  4482] predictions:    9653/  10000 (96.53%), best:    9698/10000 (96.98%), error:      1167.83655, best error:       994.84338 on epoch:    27, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 125.9946670532s, input_fired_time: 2.0459222794, output_fired_time: 1.9121129513, propagate_forward_time: 46.7614898682, propagate_backward_time: 71.5653457642, weight_update_time: 0.2559073269, other_time: 3.7098007202
epoch time: 9.3173112869s, input_fired_time: 0.1910855174, output_fired_time: 0.0000000000, propagate_forward_time: 8.5288343430, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5973911285
validation[          , genome  4482] predictions:    9639/  10000 (96.39%), best:    9698/10000 (96.98%), error:      1256.25720, best error:       994.84338 on epoch:    27, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 118.6099319458s, input_fired_time: 1.9516645670, output_fired_time: 1.6912356615, propagate_forward_time: 44.1693038940, propagate_backward_time: 67.5245056152, weight_update_time: 0.1294127107, other_time: 3.2732162476
epoch time: 7.9861507416s, input_fired_time: 0.1926383674, output_fired_time: 0.0000000000, propagate_forward_time: 7.2622303963, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5312819481
validation[          , genome  4482] predictions:    9647/  10000 (96.47%), best:    9698/10000 (96.98%), error:      1166.30139, best error:       994.84338 on epoch:    27, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 118.3348693848s, input_fired_time: 1.9348689318, output_fired_time: 1.6002641916, propagate_forward_time: 43.6540069580, propagate_backward_time: 67.7268142700, weight_update_time: 0.1307660043, other_time: 3.4189147949
epoch time: 9.9418792725s, input_fired_time: 0.2119919062, output_fired_time: 0.0000000000, propagate_forward_time: 9.1714668274, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5584201813
validation[          , genome  4482] predictions:    9718/  10000 (97.18%), best:    9718/10000 (97.18%), error:       951.58698, best error:       951.58698 on epoch:    32, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 115.0416793823s, input_fired_time: 1.7585092783, output_fired_time: 1.5442699194, propagate_forward_time: 42.8447608948, propagate_backward_time: 65.6920928955, weight_update_time: 0.1317756921, other_time: 3.2020416260
epoch time: 10.3336162567s, input_fired_time: 0.2445834875, output_fired_time: 0.0000000000, propagate_forward_time: 9.4522266388, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6368064880
validation[          , genome  4482] predictions:    9697/  10000 (96.97%), best:    9718/10000 (97.18%), error:      1032.62878, best error:       951.58698 on epoch:    32, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 143.2117309570s, input_fired_time: 2.2687332630, output_fired_time: 2.3879880905, propagate_forward_time: 53.6209373474, propagate_backward_time: 80.5860366821, weight_update_time: 0.2237819433, other_time: 4.3480300903
epoch time: 14.9061441422s, input_fired_time: 0.2694057822, output_fired_time: 0.0000000000, propagate_forward_time: 13.5524721146, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0842666626
validation[          , genome  4482] predictions:    9687/  10000 (96.87%), best:    9718/10000 (97.18%), error:      1008.52948, best error:       951.58698 on epoch:    32, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 178.3775024414s, input_fired_time: 2.7791647911, output_fired_time: 2.1382288933, propagate_forward_time: 63.4655685425, propagate_backward_time: 104.6686477661, weight_update_time: 0.1619650573, other_time: 5.3258972168
epoch time: 14.3202152252s, input_fired_time: 0.3016782105, output_fired_time: 0.0000000000, propagate_forward_time: 13.4166059494, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6019306183
validation[          , genome  4482] predictions:    9699/  10000 (96.99%), best:    9718/10000 (97.18%), error:      1023.25262, best error:       951.58698 on epoch:    32, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 248.0648040771s, input_fired_time: 3.0619788170, output_fired_time: 3.5718009472, propagate_forward_time: 92.5892333984, propagate_backward_time: 142.0669555664, weight_update_time: 0.4116128385, other_time: 6.7748260498
epoch time: 20.1097583771s, input_fired_time: 0.2812700570, output_fired_time: 0.0000000000, propagate_forward_time: 19.2268352509, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6016521454
validation[          , genome  4482] predictions:    9575/  10000 (95.75%), best:    9718/10000 (97.18%), error:      1385.20715, best error:       951.58698 on epoch:    32, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 256.9411010742s, input_fired_time: 4.8118319511, output_fired_time: 3.5099537373, propagate_forward_time: 96.0449905396, propagate_backward_time: 145.7806396484, weight_update_time: 0.1461983770, other_time: 6.7937011719
epoch time: 21.3829040527s, input_fired_time: 0.5045037866, output_fired_time: 0.0000000000, propagate_forward_time: 18.5564002991, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3220005035
validation[          , genome  4482] predictions:    9703/  10000 (97.03%), best:    9703/10000 (97.03%), error:       943.69843, best error:       943.69843 on epoch:    37, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 255.9790954590s, input_fired_time: 4.8556308746, output_fired_time: 4.1515150070, propagate_forward_time: 94.3280487061, propagate_backward_time: 145.3965148926, weight_update_time: 0.2869036794, other_time: 7.2473754883
epoch time: 19.9115219116s, input_fired_time: 0.3456322551, output_fired_time: 0.0000000000, propagate_forward_time: 18.3563652039, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2095241547
validation[          , genome  4482] predictions:    9674/  10000 (96.74%), best:    9703/10000 (97.03%), error:      1060.79724, best error:       943.69843 on epoch:    37, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 243.3465881348s, input_fired_time: 3.9367859364, output_fired_time: 3.1340906620, propagate_forward_time: 89.5450668335, propagate_backward_time: 140.1704711914, weight_update_time: 0.1616555899, other_time: 6.5601806641
epoch time: 19.8082923889s, input_fired_time: 0.6443935037, output_fired_time: 0.0000000000, propagate_forward_time: 17.2337169647, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9301815033
validation[          , genome  4482] predictions:    9711/  10000 (97.11%), best:    9703/10000 (97.03%), error:      1016.59808, best error:       943.69843 on epoch:    37, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 237.2936553955s, input_fired_time: 3.3927783966, output_fired_time: 4.8070206642, propagate_forward_time: 88.1318664551, propagate_backward_time: 133.9955902100, weight_update_time: 0.1772690713, other_time: 6.9664001465
epoch time: 18.4423580170s, input_fired_time: 0.2855427563, output_fired_time: 0.0000000000, propagate_forward_time: 17.1960983276, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9607162476
validation[          , genome  4482] predictions:    9689/  10000 (96.89%), best:    9703/10000 (97.03%), error:      1003.74609, best error:       943.69843 on epoch:    37, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 222.8581085205s, input_fired_time: 2.9622402191, output_fired_time: 3.1037268639, propagate_forward_time: 82.1766967773, propagate_backward_time: 126.7133941650, weight_update_time: 0.1772400588, other_time: 7.9020538330
epoch time: 19.5331211090s, input_fired_time: 0.8962808847, output_fired_time: 0.0000000000, propagate_forward_time: 17.5817050934, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0551357269
validation[          , genome  4482] predictions:    9656/  10000 (96.56%), best:    9703/10000 (97.03%), error:      1082.96265, best error:       943.69843 on epoch:    37, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 206.2566986084s, input_fired_time: 3.4526741505, output_fired_time: 3.8850743771, propagate_forward_time: 75.5112380981, propagate_backward_time: 117.6607513428, weight_update_time: 0.4743191600, other_time: 5.7469711304
epoch time: 16.3110656738s, input_fired_time: 0.5327020884, output_fired_time: 0.0000000000, propagate_forward_time: 15.0062465668, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7721166611
validation[          , genome  4482] predictions:    9703/  10000 (97.03%), best:    9703/10000 (97.03%), error:       987.15631, best error:       943.69843 on epoch:    37, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 185.9761962891s, input_fired_time: 2.5093131065, output_fired_time: 3.3215494156, propagate_forward_time: 68.5475311279, propagate_backward_time: 107.2760314941, weight_update_time: 0.1780153215, other_time: 4.3217773438
epoch time: 15.0304346085s, input_fired_time: 0.2192957252, output_fired_time: 0.0000000000, propagate_forward_time: 13.0089464188, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8021926880
validation[          , genome  4482] predictions:    9717/  10000 (97.17%), best:    9717/10000 (97.17%), error:       940.27789, best error:       940.27789 on epoch:    43, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 169.2864990234s, input_fired_time: 2.9466900826, output_fired_time: 1.9818634987, propagate_forward_time: 61.8841438293, propagate_backward_time: 96.2897033691, weight_update_time: 0.4274057448, other_time: 6.1841125488
epoch time: 13.7353219986s, input_fired_time: 0.3015625477, output_fired_time: 0.0000000000, propagate_forward_time: 12.5510644913, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8826951981
validation[          , genome  4482] predictions:    9726/  10000 (97.26%), best:    9717/10000 (97.17%), error:       967.07977, best error:       940.27789 on epoch:    43, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 174.4916076660s, input_fired_time: 2.0722198486, output_fired_time: 2.0764980316, propagate_forward_time: 63.2020988464, propagate_backward_time: 101.3745651245, weight_update_time: 0.1931406260, other_time: 5.7662277222
epoch time: 13.4467401505s, input_fired_time: 0.2384034693, output_fired_time: 0.0000000000, propagate_forward_time: 12.2795391083, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9287977219
validation[          , genome  4482] predictions:    9683/  10000 (96.83%), best:    9717/10000 (97.17%), error:       970.96368, best error:       940.27789 on epoch:    43, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 176.1698150635s, input_fired_time: 2.5560019016, output_fired_time: 2.6689550877, propagate_forward_time: 67.4326782227, propagate_backward_time: 99.0325851440, weight_update_time: 0.1620174497, other_time: 4.4795913696
epoch time: 16.0441665649s, input_fired_time: 0.2682639360, output_fired_time: 0.0000000000, propagate_forward_time: 14.7047986984, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0711040497
validation[          , genome  4482] predictions:    9708/  10000 (97.08%), best:    9717/10000 (97.17%), error:       981.17816, best error:       940.27789 on epoch:    43, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 131.3441009521s, input_fired_time: 1.8973071575, output_fired_time: 1.9735733271, propagate_forward_time: 48.1121025085, propagate_backward_time: 75.8107910156, weight_update_time: 0.1348503083, other_time: 3.5503234863
epoch time: 9.8305654526s, input_fired_time: 0.2652077377, output_fired_time: 0.0000000000, propagate_forward_time: 8.5787000656, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9866580963
validation[          , genome  4482] predictions:    9666/  10000 (96.66%), best:    9717/10000 (97.17%), error:      1088.56531, best error:       940.27789 on epoch:    43, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 116.0807571411s, input_fired_time: 1.8754816055, output_fired_time: 1.6420253515, propagate_forward_time: 42.9417381287, propagate_backward_time: 66.2823715210, weight_update_time: 0.1343873739, other_time: 3.3391342163
epoch time: 9.0059747696s, input_fired_time: 0.2374075651, output_fired_time: 0.0000000000, propagate_forward_time: 8.1457881927, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6227788925
validation[          , genome  4482] predictions:    9673/  10000 (96.73%), best:    9717/10000 (97.17%), error:      1072.10083, best error:       940.27789 on epoch:    43, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 120.6538619995s, input_fired_time: 1.7695000172, output_fired_time: 1.6330868006, propagate_forward_time: 45.1397361755, propagate_backward_time: 68.7221450806, weight_update_time: 0.1674121022, other_time: 3.3893966675
epoch time: 9.6522893906s, input_fired_time: 0.2490087897, output_fired_time: 0.0000000000, propagate_forward_time: 8.5967512131, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8065290451
validation[          , genome  4482] predictions:    9732/  10000 (97.32%), best:    9732/10000 (97.32%), error:       929.16174, best error:       929.16174 on epoch:    49, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 120.3641967773s, input_fired_time: 2.0187106133, output_fired_time: 1.7332541943, propagate_forward_time: 44.1632652283, propagate_backward_time: 68.6053848267, weight_update_time: 0.1623440385, other_time: 3.8435897827
epoch time: 8.9489717484s, input_fired_time: 0.2231497020, output_fired_time: 0.0000000000, propagate_forward_time: 8.1461448669, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5796775818
validation[          , genome  4482] predictions:    9555/  10000 (95.55%), best:    9732/10000 (97.32%), error:      1515.85339, best error:       929.16174 on epoch:    49, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 117.7615127563s, input_fired_time: 2.1559381485, output_fired_time: 1.7418987751, propagate_forward_time: 43.5611381531, propagate_backward_time: 66.9558944702, weight_update_time: 0.1299974769, other_time: 3.3466415405
epoch time: 8.8515167236s, input_fired_time: 0.2122561336, output_fired_time: 0.0000000000, propagate_forward_time: 8.0291328430, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6101274490
validation[          , genome  4482] predictions:    9711/  10000 (97.11%), best:    9711/10000 (97.11%), error:       917.31604, best error:       917.31604 on epoch:    51, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 127.6643981934s, input_fired_time: 1.7890791893, output_fired_time: 2.0149681568, propagate_forward_time: 47.4589424133, propagate_backward_time: 72.8015747070, weight_update_time: 0.1327648908, other_time: 3.5998382568
epoch time: 8.7744197845s, input_fired_time: 0.2053275555, output_fired_time: 0.0000000000, propagate_forward_time: 8.0180606842, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5510311127
validation[          , genome  4482] predictions:    9728/  10000 (97.28%), best:    9728/10000 (97.28%), error:       908.13116, best error:       908.13116 on epoch:    52, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 124.9416732788s, input_fired_time: 2.0104501247, output_fired_time: 1.6733298302, propagate_forward_time: 46.5120658875, propagate_backward_time: 71.2251358032, weight_update_time: 0.2118354142, other_time: 3.5206832886
epoch time: 9.8650178909s, input_fired_time: 0.2426890284, output_fired_time: 0.0000000000, propagate_forward_time: 9.0060796738, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6162490845
validation[          , genome  4482] predictions:    9725/  10000 (97.25%), best:    9728/10000 (97.28%), error:       914.24860, best error:       908.13116 on epoch:    52, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

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_42_4482.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_42_4482_1_r1531695980_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: 0.959291
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000783401
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.13361e-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: 54
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 52
read number_validation_images: 10000
read best_validation_predictions: 9728
read best_validation_error: 908.131
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: 4482
read normal distribution: '0 1.90792834758759 -1.83691108226776'
generator_str: '430995109'
read generator: 430995109
read generated_by_map:
1 split_edge 1
reading 28 nodes.
reading 69 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: 111.374664306641s, input_fired_time: 1.7566499710083, output_fired_time: 1.62324261665344, propagate_forward_time: 40.827522277832, propagate_backward_time: 63.566650390625, weight_update_time: 0.186531573534012, other_time: 3.60059356689453
epoch time: 9.27798366546631s, input_fired_time: 0.249369069933891, output_fired_time: 0, propagate_forward_time: 8.44895648956299, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.579658508300781
validation[          , genome  4482] predictions:    9684/  10000 (96.84%), best:    9728/10000 (97.28%), error:      1023.48584, best error:       908.13116 on epoch:    52, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 111.9468231201s, input_fired_time: 1.8422180414, output_fired_time: 1.7017284632, propagate_forward_time: 41.1925888062, propagate_backward_time: 63.6973190308, weight_update_time: 0.1615755856, other_time: 3.5129699707
epoch time: 9.2603626251s, input_fired_time: 0.1997019500, output_fired_time: 0.0000000000, propagate_forward_time: 8.4868049622, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5738554001
validation[          , genome  4482] predictions:    9718/  10000 (97.18%), best:    9728/10000 (97.28%), error:       944.26617, best error:       908.13116 on epoch:    52, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 116.8381423950s, input_fired_time: 1.8895188570, output_fired_time: 1.6984748840, propagate_forward_time: 42.9492530823, propagate_backward_time: 66.7848358154, weight_update_time: 0.1643552184, other_time: 3.5160675049
epoch time: 8.6956195831s, input_fired_time: 0.2180703133, output_fired_time: 0.0000000000, propagate_forward_time: 7.8892803192, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5882692337
validation[          , genome  4482] predictions:    9699/  10000 (96.99%), best:    9728/10000 (97.28%), error:       962.01123, best error:       908.13116 on epoch:    52, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 112.1441421509s, input_fired_time: 1.8340663910, output_fired_time: 1.4495494366, propagate_forward_time: 41.5829696655, propagate_backward_time: 63.9109649658, weight_update_time: 0.1307508200, other_time: 3.3665924072
epoch time: 8.5643539429s, input_fired_time: 0.2032650262, output_fired_time: 0.0000000000, propagate_forward_time: 7.7854199409, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5756688118
validation[          , genome  4482] predictions:    9668/  10000 (96.68%), best:    9728/10000 (97.28%), error:      1064.47449, best error:       908.13116 on epoch:    52, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 113.0163497925s, input_fired_time: 1.7878059149, output_fired_time: 1.6197443008, propagate_forward_time: 41.4138984680, propagate_backward_time: 64.7435455322, weight_update_time: 0.1457692236, other_time: 3.4513549805
epoch time: 9.1687850952s, input_fired_time: 0.2489477247, output_fired_time: 0.0000000000, propagate_forward_time: 8.2547664642, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6650705338
validation[          , genome  4482] predictions:    9676/  10000 (96.76%), best:    9728/10000 (97.28%), error:      1033.52783, best error:       908.13116 on epoch:    52, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 108.9588546753s, input_fired_time: 1.6924417019, output_fired_time: 1.4381297827, propagate_forward_time: 40.3202133179, propagate_backward_time: 62.2043457031, weight_update_time: 0.1459095925, other_time: 3.3037185669
epoch time: 9.0826435089s, input_fired_time: 0.2074947804, output_fired_time: 0.0000000000, propagate_forward_time: 8.2061080933, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6690406799
validation[          , genome  4482] predictions:    9474/  10000 (94.74%), best:    9728/10000 (97.28%), error:      1747.77710, best error:       908.13116 on epoch:    52, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 109.8639526367s, input_fired_time: 1.7464600801, output_fired_time: 1.5107986927, propagate_forward_time: 40.3409652710, propagate_backward_time: 63.0012321472, weight_update_time: 0.1316662878, other_time: 3.2644996643
epoch time: 9.5089426041s, input_fired_time: 0.2885864973, output_fired_time: 0.0000000000, propagate_forward_time: 8.3510761261, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8692798615
validation[          , genome  4482] predictions:    9697/  10000 (96.97%), best:    9728/10000 (97.28%), error:       991.62738, best error:       908.13116 on epoch:    52, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 106.9926528931s, input_fired_time: 1.6516129971, output_fired_time: 1.4877225161, propagate_forward_time: 39.6361236572, propagate_backward_time: 61.0214424133, weight_update_time: 0.1300636977, other_time: 3.1957511902
epoch time: 8.8998279572s, input_fired_time: 0.2023341656, output_fired_time: 0.0000000000, propagate_forward_time: 8.1238508224, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5736427307
validation[          , genome  4482] predictions:    9697/  10000 (96.97%), best:    9728/10000 (97.28%), error:      1017.07953, best error:       908.13116 on epoch:    52, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 159.6718292236s, input_fired_time: 3.6434459686, output_fired_time: 2.2712919712, propagate_forward_time: 58.9028320313, propagate_backward_time: 90.1247711182, weight_update_time: 0.4104690552, other_time: 4.7294921875
epoch time: 13.9031190872s, input_fired_time: 0.5086665154, output_fired_time: 0.0000000000, propagate_forward_time: 12.2311754227, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1632776260
validation[          , genome  4482] predictions:    9712/  10000 (97.12%), best:    9728/10000 (97.28%), error:       935.85571, best error:       908.13116 on epoch:    52, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 167.6498718262s, input_fired_time: 2.7001466751, output_fired_time: 1.8939871788, propagate_forward_time: 64.8398742676, propagate_backward_time: 93.8443145752, weight_update_time: 0.4113169014, other_time: 4.3715515137
epoch time: 14.0419940948s, input_fired_time: 0.2199846655, output_fired_time: 0.0000000000, propagate_forward_time: 12.9394025803, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8826065063
validation[          , genome  4482] predictions:    9700/  10000 (97.00%), best:    9728/10000 (97.28%), error:       963.84686, best error:       908.13116 on epoch:    52, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 172.7913055420s, input_fired_time: 2.7826077938, output_fired_time: 2.2879261971, propagate_forward_time: 64.7515792847, propagate_backward_time: 97.7434844971, weight_update_time: 0.1609932184, other_time: 5.2257003784
epoch time: 13.1073150635s, input_fired_time: 0.2190610319, output_fired_time: 0.0000000000, propagate_forward_time: 11.9156513214, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9726028442
validation[          , genome  4482] predictions:    9710/  10000 (97.10%), best:    9728/10000 (97.28%), error:       934.07855, best error:       908.13116 on epoch:    52, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

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_42_4482.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_42_4482_1_r1531695980_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: 0.972533
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000445599
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.7824e-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: 65
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 52
read number_validation_images: 10000
read best_validation_predictions: 9728
read best_validation_error: 908.131
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: 4482
read normal distribution: '0 1.90792834758759 -1.83691108226776'
generator_str: '1699190675'
read generator: 1699190675
read generated_by_map:
1 split_edge 1
reading 28 nodes.
reading 69 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: 189.400131225586s, input_fired_time: 2.20606660842896, output_fired_time: 2.3356249332428, propagate_forward_time: 73.7725677490234, propagate_backward_time: 106.61604309082, weight_update_time: 0.176630660891533, other_time: 4.46981811523438
epoch time: 17.1883449554443s, input_fired_time: 0.302264839410782, output_fired_time: 0, propagate_forward_time: 15.83962059021, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.04645919799805
validation[          , genome  4482] predictions:    9692/  10000 (96.92%), best:    9728/10000 (97.28%), error:      1011.09827, best error:       908.13116 on epoch:    52, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 211.2398529053s, input_fired_time: 2.4491338730, output_fired_time: 2.5683810711, propagate_forward_time: 79.2533035278, propagate_backward_time: 121.6205291748, weight_update_time: 0.1670798063, other_time: 5.3485183716
epoch time: 15.5596714020s, input_fired_time: 0.4851462841, output_fired_time: 0.0000000000, propagate_forward_time: 14.0776195526, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9969053268
validation[          , genome  4482] predictions:    9680/  10000 (96.80%), best:    9728/10000 (97.28%), error:      1070.49390, best error:       908.13116 on epoch:    52, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 211.0505371094s, input_fired_time: 2.9178292751, output_fired_time: 2.4462790489, propagate_forward_time: 78.7311172485, propagate_backward_time: 121.1476516724, weight_update_time: 0.2391681075, other_time: 5.8076629639
epoch time: 16.1193103790s, input_fired_time: 0.2830649018, output_fired_time: 0.0000000000, propagate_forward_time: 15.2457199097, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5905256271
validation[          , genome  4482] predictions:    9716/  10000 (97.16%), best:    9728/10000 (97.28%), error:       925.64264, best error:       908.13116 on epoch:    52, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 225.9783172607s, input_fired_time: 3.6433827877, output_fired_time: 4.2426404953, propagate_forward_time: 82.3835754395, propagate_backward_time: 128.9789581299, weight_update_time: 0.3954496682, other_time: 6.7297515869
epoch time: 17.7005577087s, input_fired_time: 0.3036350310, output_fired_time: 0.0000000000, propagate_forward_time: 16.5249900818, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8719329834
validation[          , genome  4482] predictions:    9689/  10000 (96.89%), best:    9728/10000 (97.28%), error:      1023.76697, best error:       908.13116 on epoch:    52, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 226.7663726807s, input_fired_time: 3.3564302921, output_fired_time: 3.3347198963, propagate_forward_time: 83.9336853027, propagate_backward_time: 129.5426025391, weight_update_time: 0.5049630404, other_time: 6.5989379883
epoch time: 17.3089084625s, input_fired_time: 0.5005289316, output_fired_time: 0.0000000000, propagate_forward_time: 15.2958765030, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5125036240
validation[          , genome  4482] predictions:    9714/  10000 (97.14%), best:    9728/10000 (97.28%), error:       973.25092, best error:       908.13116 on epoch:    52, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 177.6339416504s, input_fired_time: 2.3048238754, output_fired_time: 3.0349893570, propagate_forward_time: 67.7267150879, propagate_backward_time: 98.9691238403, weight_update_time: 0.4424065351, other_time: 5.5982894897
epoch time: 13.7556924820s, input_fired_time: 0.2365857214, output_fired_time: 0.0000000000, propagate_forward_time: 12.4932012558, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0259056091
validation[          , genome  4482] predictions:    9723/  10000 (97.23%), best:    9728/10000 (97.28%), error:       929.97498, best error:       908.13116 on epoch:    52, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 167.8486175537s, input_fired_time: 2.1526775360, output_fired_time: 2.2979745865, propagate_forward_time: 61.6971511841, propagate_backward_time: 97.0074157715, weight_update_time: 0.3955965936, other_time: 4.6933975220
epoch time: 14.0934743881s, input_fired_time: 0.2558875084, output_fired_time: 0.0000000000, propagate_forward_time: 12.9352827072, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9023046494
validation[          , genome  4482] predictions:    9725/  10000 (97.25%), best:    9728/10000 (97.28%), error:       930.86023, best error:       908.13116 on epoch:    52, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 167.6693878174s, input_fired_time: 2.8023338318, output_fired_time: 2.4442415237, propagate_forward_time: 63.7481117249, propagate_backward_time: 94.3097457886, weight_update_time: 0.1497179717, other_time: 4.3649520874
epoch time: 13.0772886276s, input_fired_time: 0.2234951109, output_fired_time: 0.0000000000, propagate_forward_time: 12.2506799698, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6031131744
validation[          , genome  4482] predictions:    9715/  10000 (97.15%), best:    9728/10000 (97.28%), error:       951.31329, best error:       908.13116 on epoch:    52, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 166.7838592529s, input_fired_time: 2.3374831676, output_fired_time: 1.9125924110, propagate_forward_time: 61.7412033081, propagate_backward_time: 96.5095977783, weight_update_time: 0.1454693079, other_time: 4.2829818726
epoch time: 13.8083190918s, input_fired_time: 0.4719669223, output_fired_time: 0.0000000000, propagate_forward_time: 12.3872413635, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9491109848
validation[          , genome  4482] predictions:    9674/  10000 (96.74%), best:    9728/10000 (97.28%), error:      1137.12939, best error:       908.13116 on epoch:    52, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 163.2082977295s, input_fired_time: 2.0602369308, output_fired_time: 2.3022484779, propagate_forward_time: 61.2063941956, propagate_backward_time: 92.3487625122, weight_update_time: 0.1451328844, other_time: 5.2906570435
epoch time: 13.7726068497s, input_fired_time: 0.2267320752, output_fired_time: 0.0000000000, propagate_forward_time: 12.1738147736, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3720598221
validation[          , genome  4482] predictions:    9653/  10000 (96.53%), best:    9728/10000 (97.28%), error:      1119.65674, best error:       908.13116 on epoch:    52, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 148.2883453369s, input_fired_time: 2.0594253540, output_fired_time: 2.1321303844, propagate_forward_time: 54.6901397705, propagate_backward_time: 85.0873184204, weight_update_time: 0.1400374621, other_time: 4.3193283081
epoch time: 8.0762453079s, input_fired_time: 0.2195143253, output_fired_time: 0.0000000000, propagate_forward_time: 7.3368320465, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5198988914
validation[          , genome  4482] predictions:    9673/  10000 (96.73%), best:    9728/10000 (97.28%), error:      1150.97534, best error:       908.13116 on epoch:    52, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 101.8391723633s, input_fired_time: 1.6725171804, output_fired_time: 1.4048029184, propagate_forward_time: 37.4433746338, propagate_backward_time: 58.3122062683, weight_update_time: 0.1265807897, other_time: 3.0062751770
epoch time: 8.7456512451s, input_fired_time: 0.1989632100, output_fired_time: 0.0000000000, propagate_forward_time: 7.9073119164, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6393761635
validation[          , genome  4482] predictions:    9689/  10000 (96.89%), best:    9728/10000 (97.28%), error:       995.29431, best error:       908.13116 on epoch:    52, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 102.6941070557s, input_fired_time: 1.6958562136, output_fired_time: 1.4684123993, propagate_forward_time: 37.5918235779, propagate_backward_time: 58.9343910217, weight_update_time: 0.1282309890, other_time: 3.0036239624
epoch time: 8.4287891388s, input_fired_time: 0.2020029575, output_fired_time: 0.0000000000, propagate_forward_time: 7.6165928841, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6101937294
validation[          , genome  4482] predictions:    9732/  10000 (97.32%), best:    9728/10000 (97.28%), error:       929.94110, best error:       908.13116 on epoch:    52, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 103.6010208130s, input_fired_time: 1.6346250772, output_fired_time: 1.4383664131, propagate_forward_time: 38.1277122498, propagate_backward_time: 59.3532562256, weight_update_time: 0.1451033205, other_time: 3.0470542908
epoch time: 8.4302806854s, input_fired_time: 0.1992708892, output_fired_time: 0.0000000000, propagate_forward_time: 7.6952781677, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5357313156
validation[          , genome  4482] predictions:    9674/  10000 (96.74%), best:    9728/10000 (97.28%), error:      1051.68091, best error:       908.13116 on epoch:    52, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 105.3745040894s, input_fired_time: 1.6999952793, output_fired_time: 1.5011329651, propagate_forward_time: 38.8779716492, propagate_backward_time: 60.2575111389, weight_update_time: 0.1294971704, other_time: 3.0378875732
epoch time: 8.2257633209s, input_fired_time: 0.2130860239, output_fired_time: 0.0000000000, propagate_forward_time: 7.4871335030, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5255436897
validation[          , genome  4482] predictions:    9700/  10000 (97.00%), best:    9728/10000 (97.28%), error:       970.32361, best error:       908.13116 on epoch:    52, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 104.5384597778s, input_fired_time: 1.6265192032, output_fired_time: 1.4546416998, propagate_forward_time: 38.5487747192, propagate_backward_time: 59.9426803589, weight_update_time: 0.1291792542, other_time: 2.9658432007
epoch time: 9.0808458328s, input_fired_time: 0.2582980990, output_fired_time: 0.0000000000, propagate_forward_time: 8.2783193588, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5442285538
validation[          , genome  4482] predictions:    9696/  10000 (96.96%), best:    9728/10000 (97.28%), error:       956.58246, best error:       908.13116 on epoch:    52, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 105.4531402588s, input_fired_time: 1.6691584587, output_fired_time: 1.5621967316, propagate_forward_time: 38.7203483582, propagate_backward_time: 60.4712753296, weight_update_time: 0.1287864894, other_time: 3.0301628113
epoch time: 8.0485067368s, input_fired_time: 0.1989795715, output_fired_time: 0.0000000000, propagate_forward_time: 7.3292107582, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5203166008
validation[          , genome  4482] predictions:    9728/  10000 (97.28%), best:    9728/10000 (97.28%), error:       911.53253, best error:       908.13116 on epoch:    52, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 108.4660797119s, input_fired_time: 1.7423075438, output_fired_time: 1.5563248396, propagate_forward_time: 40.0770111084, propagate_backward_time: 61.8942832947, weight_update_time: 0.1633302271, other_time: 3.1961479187
epoch time: 8.6213550568s, input_fired_time: 0.2056910545, output_fired_time: 0.0000000000, propagate_forward_time: 7.8672075272, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5484561920
validation[          , genome  4482] predictions:    9712/  10000 (97.12%), best:    9728/10000 (97.28%), error:       954.13794, best error:       908.13116 on epoch:    52, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 105.9492111206s, input_fired_time: 1.6895458698, output_fired_time: 1.4505426884, propagate_forward_time: 39.0509567261, propagate_backward_time: 60.6259155273, weight_update_time: 0.1449650824, other_time: 3.1322479248
epoch time: 7.7837924957s, input_fired_time: 0.1927781403, output_fired_time: 0.0000000000, propagate_forward_time: 7.0782046318, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5128097534
validation[          , genome  4482] predictions:    9727/  10000 (97.27%), best:    9728/10000 (97.28%), error:       952.94177, best error:       908.13116 on epoch:    52, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 101.7960205078s, input_fired_time: 1.6278195381, output_fired_time: 1.4472188950, propagate_forward_time: 37.6111602783, propagate_backward_time: 58.1613883972, weight_update_time: 0.1273671538, other_time: 2.9484291077
epoch time: 8.8521232605s, input_fired_time: 0.2421137989, output_fired_time: 0.0000000000, propagate_forward_time: 8.0906715393, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5193376541
validation[          , genome  4482] predictions:    9686/  10000 (96.86%), best:    9728/10000 (97.28%), error:      1004.47748, best error:       908.13116 on epoch:    52, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 103.0158615112s, input_fired_time: 1.6440227032, output_fired_time: 1.4596472979, propagate_forward_time: 37.9646072388, propagate_backward_time: 58.9825859070, weight_update_time: 0.1269442737, other_time: 2.9650001526
epoch time: 7.7450366020s, input_fired_time: 0.1895841658, output_fired_time: 0.0000000000, propagate_forward_time: 7.0417137146, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5137386322
validation[          , genome  4482] predictions:    9708/  10000 (97.08%), best:    9728/10000 (97.28%), error:       998.69238, best error:       908.13116 on epoch:    52, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 98.5005187988s, input_fired_time: 1.6225707531, output_fired_time: 1.3777400255, propagate_forward_time: 36.2178878784, propagate_backward_time: 56.4236221313, weight_update_time: 0.1253063828, other_time: 2.8586959839
epoch time: 7.8382921219s, input_fired_time: 0.2201660573, output_fired_time: 0.0000000000, propagate_forward_time: 7.1062917709, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5118341446
validation[          , genome  4482] predictions:    9675/  10000 (96.75%), best:    9728/10000 (97.28%), error:      1054.44031, best error:       908.13116 on epoch:    52, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 99.8747634888s, input_fired_time: 1.6527310610, output_fired_time: 1.3889467716, propagate_forward_time: 36.6145401001, propagate_backward_time: 57.2477188110, weight_update_time: 0.1410814524, other_time: 2.9708251953
epoch time: 8.0358629227s, input_fired_time: 0.1890419573, output_fired_time: 0.0000000000, propagate_forward_time: 7.2919940948, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5548267365
validation[          , genome  4482] predictions:    9538/  10000 (95.38%), best:    9728/10000 (97.28%), error:      1462.66357, best error:       908.13116 on epoch:    52, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 98.5391311646s, input_fired_time: 1.5874632597, output_fired_time: 1.3831834793, propagate_forward_time: 36.1725463867, propagate_backward_time: 56.5044403076, weight_update_time: 0.1256166548, other_time: 2.8914947510
epoch time: 8.1626853943s, input_fired_time: 0.1930295229, output_fired_time: 0.0000000000, propagate_forward_time: 7.4407281876, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5289278030
validation[          , genome  4482] predictions:    9664/  10000 (96.64%), best:    9728/10000 (97.28%), error:      1084.97400, best error:       908.13116 on epoch:    52, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 99.1018981934s, input_fired_time: 1.6100238562, output_fired_time: 1.4247919321, propagate_forward_time: 36.3493156433, propagate_backward_time: 56.8504219055, weight_update_time: 0.1239505634, other_time: 2.8673477173
epoch time: 7.7453432083s, input_fired_time: 0.1930104941, output_fired_time: 0.0000000000, propagate_forward_time: 7.0390057564, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5133271217
validation[          , genome  4482] predictions:    9686/  10000 (96.86%), best:    9728/10000 (97.28%), error:      1116.66028, best error:       908.13116 on epoch:    52, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 99.1941680908s, input_fired_time: 1.6249058247, output_fired_time: 1.4594310522, propagate_forward_time: 36.6702690125, propagate_backward_time: 56.5005226135, weight_update_time: 0.1237192005, other_time: 2.9390335083
epoch time: 7.9148702621s, input_fired_time: 0.2008279711, output_fired_time: 0.0000000000, propagate_forward_time: 7.2007713318, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5132708549
validation[          , genome  4482] predictions:    9691/  10000 (96.91%), best:    9728/10000 (97.28%), error:      1021.80035, best error:       908.13116 on epoch:    52, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 97.6776046753s, input_fired_time: 1.6058381796, output_fired_time: 1.3776084185, propagate_forward_time: 35.9530525208, propagate_backward_time: 55.8904991150, weight_update_time: 0.1241415590, other_time: 2.8506088257
epoch time: 7.9234385490s, input_fired_time: 0.1927023232, output_fired_time: 0.0000000000, propagate_forward_time: 7.2196950912, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5110411644
validation[          , genome  4482] predictions:    9685/  10000 (96.85%), best:    9728/10000 (97.28%), error:      1078.64941, best error:       908.13116 on epoch:    52, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 98.5286560059s, input_fired_time: 1.5848340988, output_fired_time: 1.3900880814, propagate_forward_time: 36.2389945984, propagate_backward_time: 56.4208221436, weight_update_time: 0.1241221279, other_time: 2.8939170837
epoch time: 7.6590657234s, input_fired_time: 0.1927299649, output_fired_time: 0.0000000000, propagate_forward_time: 6.9570322037, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5093035698
validation[          , genome  4482] predictions:    9695/  10000 (96.95%), best:    9728/10000 (97.28%), error:       947.21582, best error:       908.13116 on epoch:    52, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 99.5870361328s, input_fired_time: 1.6251604557, output_fired_time: 1.3869980574, propagate_forward_time: 36.6313667297, propagate_backward_time: 57.0487403870, weight_update_time: 0.1266652793, other_time: 2.8947677612
epoch time: 7.6483407021s, input_fired_time: 0.1964630634, output_fired_time: 0.0000000000, propagate_forward_time: 6.9431657791, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5087118149
validation[          , genome  4482] predictions:    9722/  10000 (97.22%), best:    9728/10000 (97.28%), error:       963.85742, best error:       908.13116 on epoch:    52, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 98.2503738403s, input_fired_time: 1.6245045662, output_fired_time: 1.3680760860, propagate_forward_time: 36.1228065491, propagate_backward_time: 56.2460708618, weight_update_time: 0.1245163381, other_time: 2.8889198303
epoch time: 7.6820693016s, input_fired_time: 0.1900127381, output_fired_time: 0.0000000000, propagate_forward_time: 6.9802799225, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5117764473
validation[          , genome  4482] predictions:    9605/  10000 (96.05%), best:    9728/10000 (97.28%), error:      1341.68457, best error:       908.13116 on epoch:    52, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 96.0545349121s, input_fired_time: 1.5756310225, output_fired_time: 1.3608832359, propagate_forward_time: 35.2617416382, propagate_backward_time: 55.0195503235, weight_update_time: 0.1241574213, other_time: 2.8367271423
epoch time: 7.9313020706s, input_fired_time: 0.1992934495, output_fired_time: 0.0000000000, propagate_forward_time: 7.2092924118, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5227160454
validation[          , genome  4482] predictions:    9725/  10000 (97.25%), best:    9728/10000 (97.28%), error:       934.97876, best error:       908.13116 on epoch:    52, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 95.8885574341s, input_fired_time: 1.5601181984, output_fired_time: 1.3552482128, propagate_forward_time: 35.2358360291, propagate_backward_time: 54.8913993835, weight_update_time: 0.1246064603, other_time: 2.8459548950
epoch time: 7.4379248619s, input_fired_time: 0.1871383041, output_fired_time: 0.0000000000, propagate_forward_time: 6.7452611923, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5055255890
validation[          , genome  4482] predictions:    9689/  10000 (96.89%), best:    9728/10000 (97.28%), error:       973.75330, best error:       908.13116 on epoch:    52, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 95.8731536865s, input_fired_time: 1.5772858858, output_fired_time: 1.3577703238, propagate_forward_time: 35.1589431763, propagate_backward_time: 54.9398803711, weight_update_time: 0.1241021231, other_time: 2.8392715454
epoch time: 7.6681184769s, input_fired_time: 0.1902836263, output_fired_time: 0.0000000000, propagate_forward_time: 6.9695019722, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5083327293
validation[          , genome  4482] predictions:    9711/  10000 (97.11%), best:    9728/10000 (97.28%), error:       940.71875, best error:       908.13116 on epoch:    52, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 95.2506713867s, input_fired_time: 1.5579242706, output_fired_time: 1.3504266739, propagate_forward_time: 34.8654975891, propagate_backward_time: 54.6525802612, weight_update_time: 0.1232911050, other_time: 2.8242454529
epoch time: 7.3093914986s, input_fired_time: 0.1845245063, output_fired_time: 0.0000000000, propagate_forward_time: 6.6287817955, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4960851669
validation[          , genome  4482] predictions:    9656/  10000 (96.56%), best:    9728/10000 (97.28%), error:      1080.86694, best error:       908.13116 on epoch:    52, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 94.2372741699s, input_fired_time: 1.5446536541, output_fired_time: 1.3267375231, propagate_forward_time: 34.5605506897, propagate_backward_time: 54.0044555664, weight_update_time: 0.1218538508, other_time: 2.8008766174
epoch time: 8.1275215149s, input_fired_time: 0.2006211281, output_fired_time: 0.0000000000, propagate_forward_time: 7.3986325264, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5282678604
validation[          , genome  4482] predictions:    9675/  10000 (96.75%), best:    9728/10000 (97.28%), error:      1051.12048, best error:       908.13116 on epoch:    52, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 93.8988037109s, input_fired_time: 1.5640616417, output_fired_time: 1.3357666731, propagate_forward_time: 34.3591995239, propagate_backward_time: 53.8340568542, weight_update_time: 0.1224759966, other_time: 2.8057136536
epoch time: 7.2383613586s, input_fired_time: 0.1870359033, output_fired_time: 0.0000000000, propagate_forward_time: 6.5603308678, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4909944534
validation[          , genome  4482] predictions:    9654/  10000 (96.54%), best:    9728/10000 (97.28%), error:      1142.96484, best error:       908.13116 on epoch:    52, 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: 36.8754196167s, input_fired_time: 0.9413721561, output_fired_time: 0.0000000000, propagate_forward_time: 33.3679351807, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5661125183
best training[          , genome  4482] predictions:   49313/  50000 (98.63%), best:    9728/10000 (97.28%), error:      2418.25073, best error:       908.13116 on epoch:    52, 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: 7.2834172249s, input_fired_time: 0.1844804734, output_fired_time: 0.0000000000, propagate_forward_time: 6.6017942429, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4971423149
   testing[          , genome  4482] predictions:    9756/  10000 (97.56%), best:    9728/10000 (97.28%), error:       807.59619, best error:       908.13116 on epoch:    52, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
00:56:13 (4800): called boinc_finish(0)

</stderr_txt>
]]>