Nameexact_genome_1509103842_23_18646_1
Workunit2283597
Created31 Oct 2017, 2:21:29 UTC
Sent31 Oct 2017, 2:40:21 UTC
Report deadline20 Dec 2017, 23:32:14 UTC
Received3 Nov 2017, 9:10:14 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time1 days 18 hours 38 min 43 sec
CPU time1 days 1 hours 9 min 12 sec
Validate stateInitial
Credit0.00
Device peak FLOPS2.21 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size175.24 MB
Peak swap size180.27 MB
Peak disk usage6.45 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
8.83%), error:       387.84933, best error:       353.03394 on epoch:    37, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 994.8640136719s, input_fired_time: 13.0433731079, output_fired_time: 11.9192180634, propagate_forward_time: 369.4561462402, propagate_backward_time: 586.9411621094, weight_update_time: 0.8336402774, other_time: 13.5041503906
epoch time: 87.8719787598s, input_fired_time: 1.6648204327, output_fired_time: 0.0000000000, propagate_forward_time: 83.4345855713, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7725753784
validation[          , genome 18646] predictions:    9871/  10000 (98.71%), best:    9883/10000 (98.83%), error:       428.38391, best error:       353.03394 on epoch:    37, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1041.5734863281s, input_fired_time: 14.3726186752, output_fired_time: 12.5437774658, propagate_forward_time: 383.5299987793, propagate_backward_time: 616.2796020508, weight_update_time: 1.1110519171, other_time: 14.8475952148
epoch time: 85.4290237427s, input_fired_time: 1.8505442142, output_fired_time: 0.0000000000, propagate_forward_time: 80.7190551758, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8594207764
validation[          , genome 18646] predictions:    9866/  10000 (98.66%), best:    9883/10000 (98.83%), error:       414.09518, best error:       353.03394 on epoch:    37, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1120.1708984375s, input_fired_time: 15.4552469254, output_fired_time: 13.0948104858, propagate_forward_time: 419.3191223145, propagate_backward_time: 656.3674926758, weight_update_time: 0.9322166443, other_time: 15.9342651367
epoch time: 93.4782028198s, input_fired_time: 1.9911379814, output_fired_time: 0.0000000000, propagate_forward_time: 88.1166992188, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3703689575
validation[          , genome 18646] predictions:    9889/  10000 (98.89%), best:    9889/10000 (98.89%), error:       347.59332, best error:       347.59332 on epoch:    42, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1066.9598388672s, input_fired_time: 14.0846347809, output_fired_time: 12.7283287048, propagate_forward_time: 398.2559204102, propagate_backward_time: 627.0097045898, weight_update_time: 0.9678670168, other_time: 14.8813476563
epoch time: 73.9353256226s, input_fired_time: 1.5678565502, output_fired_time: 0.0000000000, propagate_forward_time: 69.8511047363, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5163650513
validation[          , genome 18646] predictions:    9866/  10000 (98.66%), best:    9889/10000 (98.89%), error:       416.31805, best error:       347.59332 on epoch:    42, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1035.4145507813s, input_fired_time: 13.9858207703, output_fired_time: 12.2324666977, propagate_forward_time: 387.1027221680, propagate_backward_time: 607.8480834961, weight_update_time: 0.9617507458, other_time: 14.2454223633
epoch time: 82.8293838501s, input_fired_time: 1.7717114687, output_fired_time: 0.0000000000, propagate_forward_time: 78.3332672119, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7244033813
validation[          , genome 18646] predictions:    9883/  10000 (98.83%), best:    9889/10000 (98.89%), error:       359.25723, best error:       347.59332 on epoch:    42, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1032.0141601563s, input_fired_time: 13.6143407822, output_fired_time: 12.4449167252, propagate_forward_time: 388.6800231934, propagate_backward_time: 603.4849243164, weight_update_time: 0.8694319129, other_time: 13.7899780273
epoch time: 86.2794036865s, input_fired_time: 1.6096270084, output_fired_time: 0.0000000000, propagate_forward_time: 81.9703598022, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6994171143
validation[          , genome 18646] predictions:    9777/  10000 (97.77%), best:    9889/10000 (98.89%), error:       705.73932, best error:       347.59332 on epoch:    42, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1072.8284912109s, input_fired_time: 14.0626306534, output_fired_time: 12.9536733627, propagate_forward_time: 397.7415161133, propagate_backward_time: 633.2465820313, weight_update_time: 1.0718705654, other_time: 14.8241577148
epoch time: 89.1316375732s, input_fired_time: 1.7248126268, output_fired_time: 0.0000000000, propagate_forward_time: 84.5607604980, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8460617065
validation[          , genome 18646] predictions:    9885/  10000 (98.85%), best:    9889/10000 (98.89%), error:       376.05939, best error:       347.59332 on epoch:    42, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1066.1136474609s, input_fired_time: 14.2950239182, output_fired_time: 12.4433679581, propagate_forward_time: 397.6212158203, propagate_backward_time: 625.5720214844, weight_update_time: 1.0864351988, other_time: 16.1820068359
epoch time: 86.7832336426s, input_fired_time: 1.8747248650, output_fired_time: 0.0000000000, propagate_forward_time: 82.1378326416, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7706756592
validation[          , genome 18646] predictions:    9889/  10000 (98.89%), best:    9889/10000 (98.89%), error:       364.41083, best error:       347.59332 on epoch:    42, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1064.3206787109s, input_fired_time: 14.5138530731, output_fired_time: 12.4935798645, propagate_forward_time: 395.4506225586, propagate_backward_time: 626.6833496094, weight_update_time: 0.9450586438, other_time: 15.1793823242
epoch time: 80.3787002563s, input_fired_time: 1.9945191145, output_fired_time: 0.0000000000, propagate_forward_time: 75.5196456909, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8645324707
validation[          , genome 18646] predictions:    9867/  10000 (98.67%), best:    9889/10000 (98.89%), error:       449.93030, best error:       347.59332 on epoch:    42, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1066.2407226563s, input_fired_time: 13.9943666458, output_fired_time: 12.9088830948, propagate_forward_time: 391.4478759766, propagate_backward_time: 633.1779785156, weight_update_time: 0.8738304973, other_time: 14.7115478516
epoch time: 82.1383666992s, input_fired_time: 1.6613384485, output_fired_time: 0.0000000000, propagate_forward_time: 77.8409652710, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6360626221
validation[          , genome 18646] predictions:    9884/  10000 (98.84%), best:    9884/10000 (98.84%), error:       343.98639, best error:       343.98639 on epoch:    49, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1025.5958251953s, input_fired_time: 13.8434553146, output_fired_time: 12.2522468567, propagate_forward_time: 379.6289367676, propagate_backward_time: 605.9276123047, weight_update_time: 0.9012893438, other_time: 13.9436035156
epoch time: 77.3051147461s, input_fired_time: 1.7200083733, output_fired_time: 0.0000000000, propagate_forward_time: 73.0319747925, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5531311035
validation[          , genome 18646] predictions:    9875/  10000 (98.75%), best:    9884/10000 (98.84%), error:       383.85794, best error:       343.98639 on epoch:    49, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 989.7465820313s, input_fired_time: 13.3770132065, output_fired_time: 11.7643623352, propagate_forward_time: 363.1731567383, propagate_backward_time: 587.5364990234, weight_update_time: 1.0239304304, other_time: 13.8955688477
epoch time: 75.5915527344s, input_fired_time: 1.5919494629, output_fired_time: 0.0000000000, propagate_forward_time: 71.7123107910, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2872924805
validation[          , genome 18646] predictions:    9879/  10000 (98.79%), best:    9884/10000 (98.84%), error:       372.88562, best error:       343.98639 on epoch:    49, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 1041.3436279297s, input_fired_time: 14.8308572769, output_fired_time: 13.2475214005, propagate_forward_time: 390.8054809570, propagate_backward_time: 608.4357910156, weight_update_time: 0.8855424523, other_time: 14.0240478516
epoch time: 76.4425354004s, input_fired_time: 1.5076465607, output_fired_time: 0.0000000000, propagate_forward_time: 72.7819519043, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1529388428
validation[          , genome 18646] predictions:    9896/  10000 (98.96%), best:    9896/10000 (98.96%), error:       340.55389, best error:       340.55389 on epoch:    52, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 1226.3936767578s, input_fired_time: 16.5879421234, output_fired_time: 15.6370038986, propagate_forward_time: 457.4493408203, propagate_backward_time: 719.2236938477, weight_update_time: 1.3090547323, other_time: 17.4957885742
epoch time: 251.0851135254s, input_fired_time: 5.1054430008, output_fired_time: 0.0000000000, propagate_forward_time: 238.0677337646, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.9119415283
validation[          , genome 18646] predictions:    9886/  10000 (98.86%), best:    9896/10000 (98.96%), error:       356.08292, best error:       340.55389 on epoch:    52, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 2836.3129882813s, input_fired_time: 38.6049499512, output_fired_time: 31.0814781189, propagate_forward_time: 1058.9213867188, propagate_backward_time: 1665.7593994141, weight_update_time: 2.1213216782, other_time: 41.9456787109
epoch time: 255.3764495850s, input_fired_time: 5.4099841118, output_fired_time: 0.0000000000, propagate_forward_time: 241.1126403809, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.8538208008
validation[          , genome 18646] predictions:    9886/  10000 (98.86%), best:    9896/10000 (98.96%), error:       378.82025, best error:       340.55389 on epoch:    52, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 2088.4020996094s, input_fired_time: 30.3221416473, output_fired_time: 25.4581890106, propagate_forward_time: 785.4309082031, propagate_backward_time: 1217.8673095703, weight_update_time: 2.0492665768, other_time: 29.3237304688
epoch time: 74.1354064941s, input_fired_time: 1.6623419523, output_fired_time: 0.0000000000, propagate_forward_time: 70.0080947876, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4649734497
validation[          , genome 18646] predictions:    9888/  10000 (98.88%), best:    9896/10000 (98.96%), error:       351.49796, best error:       340.55389 on epoch:    52, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 961.8573608398s, input_fired_time: 14.2324504852, output_fired_time: 12.0950651169, propagate_forward_time: 365.3905334473, propagate_backward_time: 555.8269653320, weight_update_time: 1.0410236120, other_time: 14.3123168945
epoch time: 73.4729461670s, input_fired_time: 1.5836075544, output_fired_time: 0.0000000000, propagate_forward_time: 69.3747940063, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5145416260
validation[          , genome 18646] predictions:    9888/  10000 (98.88%), best:    9896/10000 (98.96%), error:       359.57645, best error:       340.55389 on epoch:    52, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 942.6963500977s, input_fired_time: 13.7701501846, output_fired_time: 11.6089000702, propagate_forward_time: 358.5997619629, propagate_backward_time: 544.3671264648, weight_update_time: 0.8342591524, other_time: 14.3504028320
epoch time: 74.0438766479s, input_fired_time: 1.5738170147, output_fired_time: 0.0000000000, propagate_forward_time: 69.8194046021, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6506576538
validation[          , genome 18646] predictions:    9890/  10000 (98.90%), best:    9890/10000 (98.90%), error:       329.31708, best error:       329.31708 on epoch:    57, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 921.4921264648s, input_fired_time: 12.8962306976, output_fired_time: 11.2042388916, propagate_forward_time: 347.2016601563, propagate_backward_time: 536.7590332031, weight_update_time: 0.8532451391, other_time: 13.4309692383
epoch time: 71.9420547485s, input_fired_time: 1.6578965187, output_fired_time: 0.0000000000, propagate_forward_time: 68.0004730225, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2836837769
validation[          , genome 18646] predictions:    9885/  10000 (98.85%), best:    9885/10000 (98.85%), error:       326.41992, best error:       326.41992 on epoch:    58, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 928.8255004883s, input_fired_time: 13.2597770691, output_fired_time: 11.3381958008, propagate_forward_time: 353.3055114746, propagate_backward_time: 536.4902954102, weight_update_time: 0.9534016252, other_time: 14.4317016602
epoch time: 68.9975357056s, input_fired_time: 1.5953788757, output_fired_time: 0.0000000000, propagate_forward_time: 65.0915908813, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3105697632
validation[          , genome 18646] predictions:    9861/  10000 (98.61%), best:    9885/10000 (98.85%), error:       439.78030, best error:       326.41992 on epoch:    58, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 1399.0378417969s, input_fired_time: 19.3380603790, output_fired_time: 15.8003683090, propagate_forward_time: 526.5763549805, propagate_backward_time: 816.3339843750, weight_update_time: 1.6656165123, other_time: 20.9890747070
epoch time: 185.7847747803s, input_fired_time: 3.2990698814, output_fired_time: 0.0000000000, propagate_forward_time: 176.3581848145, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.1275177002
validation[          , genome 18646] predictions:    9894/  10000 (98.94%), best:    9894/10000 (98.94%), error:       316.72208, best error:       316.72208 on epoch:    60, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 2250.5981445313s, input_fired_time: 29.5807094574, output_fired_time: 25.8992061615, propagate_forward_time: 846.5680541992, propagate_backward_time: 1314.7850341797, weight_update_time: 1.9351757765, other_time: 33.7650146484
epoch time: 178.9455566406s, input_fired_time: 3.6212058067, output_fired_time: 0.0000000000, propagate_forward_time: 167.8106231689, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.5137329102
validation[          , genome 18646] predictions:    9898/  10000 (98.98%), best:    9894/10000 (98.94%), error:       333.25027, best error:       316.72208 on epoch:    60, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 2194.1313476563s, input_fired_time: 28.5906295776, output_fired_time: 28.9868431091, propagate_forward_time: 819.6666870117, propagate_backward_time: 1283.8253173828, weight_update_time: 2.1809134483, other_time: 33.0618896484
epoch time: 147.0029754639s, input_fired_time: 2.3146471977, output_fired_time: 0.0000000000, propagate_forward_time: 139.1943511963, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.4939727783
validation[          , genome 18646] predictions:    9902/  10000 (99.02%), best:    9894/10000 (98.94%), error:       317.47748, best error:       316.72208 on epoch:    60, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 1711.7863769531s, input_fired_time: 22.5028324127, output_fired_time: 22.2876911163, propagate_forward_time: 637.8084106445, propagate_backward_time: 1002.2732543945, weight_update_time: 1.4044573307, other_time: 26.9142456055
epoch time: 68.3192062378s, input_fired_time: 1.4838711023, output_fired_time: 0.0000000000, propagate_forward_time: 64.4203948975, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4149398804
validation[          , genome 18646] predictions:    9903/  10000 (99.03%), best:    9903/10000 (99.03%), error:       305.78238, best error:       305.78238 on epoch:    63, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 919.0418090820s, input_fired_time: 13.1932840347, output_fired_time: 11.2580738068, propagate_forward_time: 341.9061584473, propagate_backward_time: 538.5150756836, weight_update_time: 0.9587426782, other_time: 14.1692504883
epoch time: 69.9086074829s, input_fired_time: 1.6057001352, output_fired_time: 0.0000000000, propagate_forward_time: 65.9160308838, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3868789673
validation[          , genome 18646] predictions:    9891/  10000 (98.91%), best:    9903/10000 (99.03%), error:       347.17935, best error:       305.78238 on epoch:    63, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 891.9998779297s, input_fired_time: 13.0883865356, output_fired_time: 11.0685081482, propagate_forward_time: 328.8580932617, propagate_backward_time: 524.6860351563, weight_update_time: 0.8826252818, other_time: 14.2988891602
epoch time: 68.1963577271s, input_fired_time: 1.6427497864, output_fired_time: 0.0000000000, propagate_forward_time: 64.1100082397, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4435958862
validation[          , genome 18646] predictions:    9889/  10000 (98.89%), best:    9903/10000 (99.03%), error:       328.09692, best error:       305.78238 on epoch:    63, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 881.0099487305s, input_fired_time: 12.1999225616, output_fired_time: 10.9709224701, propagate_forward_time: 326.8688964844, propagate_backward_time: 516.8973999023, weight_update_time: 0.8943594694, other_time: 14.0727539063
epoch time: 70.2104415894s, input_fired_time: 1.5317718983, output_fired_time: 0.0000000000, propagate_forward_time: 66.1318969727, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5467758179
validation[          , genome 18646] predictions:    9889/  10000 (98.89%), best:    9903/10000 (99.03%), error:       349.16159, best error:       305.78238 on epoch:    63, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 884.1143798828s, input_fired_time: 12.7327451706, output_fired_time: 10.9812068939, propagate_forward_time: 328.6967468262, propagate_backward_time: 517.4561767578, weight_update_time: 0.9189397693, other_time: 14.2475585938
epoch time: 65.5374374390s, input_fired_time: 1.4360172749, output_fired_time: 0.0000000000, propagate_forward_time: 61.5821838379, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5192337036
validation[          , genome 18646] predictions:    9894/  10000 (98.94%), best:    9903/10000 (99.03%), error:       326.25436, best error:       305.78238 on epoch:    63, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 877.2062377930s, input_fired_time: 12.6064653397, output_fired_time: 10.7115850449, propagate_forward_time: 329.0278320313, propagate_backward_time: 510.6452026367, weight_update_time: 0.8799981475, other_time: 14.2151489258
epoch time: 66.9941253662s, input_fired_time: 1.5451370478, output_fired_time: 0.0000000000, propagate_forward_time: 62.9948348999, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4541549683
validation[          , genome 18646] predictions:    9895/  10000 (98.95%), best:    9903/10000 (99.03%), error:       319.56104, best error:       305.78238 on epoch:    63, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 867.0172119141s, input_fired_time: 12.8782386780, output_fired_time: 10.7676200867, propagate_forward_time: 321.4859924316, propagate_backward_time: 507.4071350098, weight_update_time: 0.9366944432, other_time: 14.4782409668
epoch time: 65.9373855591s, input_fired_time: 1.3918110132, output_fired_time: 0.0000000000, propagate_forward_time: 62.1090850830, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4364929199
validation[          , genome 18646] predictions:    9869/  10000 (98.69%), best:    9903/10000 (99.03%), error:       433.97696, best error:       305.78238 on epoch:    63, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 847.2448730469s, input_fired_time: 12.2231817245, output_fired_time: 10.4685096741, propagate_forward_time: 311.9004821777, propagate_backward_time: 498.0865478516, weight_update_time: 0.8786895275, other_time: 14.5661621094
epoch time: 68.2046127319s, input_fired_time: 1.5663874149, output_fired_time: 0.0000000000, propagate_forward_time: 64.1210021973, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5172195435
validation[          , genome 18646] predictions:    9892/  10000 (98.92%), best:    9903/10000 (99.03%), error:       333.26813, best error:       305.78238 on epoch:    63, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 878.5551757813s, input_fired_time: 12.7039422989, output_fired_time: 11.3196125031, propagate_forward_time: 326.3244323730, propagate_backward_time: 513.6618041992, weight_update_time: 0.9100996852, other_time: 14.5453491211
epoch time: 66.5109176636s, input_fired_time: 1.5952086449, output_fired_time: 0.0000000000, propagate_forward_time: 62.2812271118, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6344833374
validation[          , genome 18646] predictions:    9900/  10000 (99.00%), best:    9903/10000 (99.03%), error:       316.34161, best error:       305.78238 on epoch:    63, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 890.0838623047s, input_fired_time: 12.8729057312, output_fired_time: 10.9868593216, propagate_forward_time: 330.1931762695, propagate_backward_time: 521.2377929688, weight_update_time: 0.8275284171, other_time: 14.7930908203
epoch time: 67.0893325806s, input_fired_time: 1.4971190691, output_fired_time: 0.0000000000, propagate_forward_time: 62.8994598389, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6927566528
validation[          , genome 18646] predictions:    9892/  10000 (98.92%), best:    9903/10000 (99.03%), error:       345.85583, best error:       305.78238 on epoch:    63, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 913.5729370117s, input_fired_time: 13.4635896683, output_fired_time: 11.2801284790, propagate_forward_time: 345.7282714844, propagate_backward_time: 527.9105224609, weight_update_time: 0.9026517272, other_time: 15.1904296875
epoch time: 71.1958084106s, input_fired_time: 1.7036699057, output_fired_time: 0.0000000000, propagate_forward_time: 66.8114395142, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6807022095
validation[          , genome 18646] predictions:    9903/  10000 (99.03%), best:    9903/10000 (99.03%), error:       324.20309, best error:       305.78238 on epoch:    63, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 1122.3481445313s, input_fired_time: 15.8793497086, output_fired_time: 15.1124935150, propagate_forward_time: 419.1105041504, propagate_backward_time: 652.2682495117, weight_update_time: 1.0386527777, other_time: 19.9774780273
epoch time: 140.8880157471s, input_fired_time: 2.7919819355, output_fired_time: 0.0000000000, propagate_forward_time: 131.9794464111, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.1165924072
validation[          , genome 18646] predictions:    9904/  10000 (99.04%), best:    9903/10000 (99.03%), error:       306.32785, best error:       305.78238 on epoch:    63, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 2094.8400878906s, input_fired_time: 28.5672397614, output_fired_time: 28.9386405945, propagate_forward_time: 781.2664184570, propagate_backward_time: 1216.4077148438, weight_update_time: 1.8685078621, other_time: 39.6601562500
epoch time: 196.3851928711s, input_fired_time: 4.1786718369, output_fired_time: 0.0000000000, propagate_forward_time: 183.4776611328, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.7288665771
validation[          , genome 18646] predictions:    9893/  10000 (98.93%), best:    9903/10000 (99.03%), error:       345.64288, best error:       305.78238 on epoch:    63, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 2192.0864257813s, input_fired_time: 33.1308326721, output_fired_time: 26.9146919250, propagate_forward_time: 816.8460693359, propagate_backward_time: 1275.0643310547, weight_update_time: 2.1499903202, other_time: 40.1303710938
epoch time: 160.1817474365s, input_fired_time: 3.2572760582, output_fired_time: 0.0000000000, propagate_forward_time: 149.6247406006, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.2997283936
validation[          , genome 18646] predictions:    9889/  10000 (98.89%), best:    9903/10000 (99.03%), error:       319.75458, best error:       305.78238 on epoch:    63, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 1833.8343505859s, input_fired_time: 27.7896862030, output_fired_time: 22.5763683319, propagate_forward_time: 679.8637084961, propagate_backward_time: 1066.9483642578, weight_update_time: 2.6495859623, other_time: 36.6561279297
epoch time: 117.2348251343s, input_fired_time: 2.0609259605, output_fired_time: 0.0000000000, propagate_forward_time: 110.6980056763, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.4758911133
validation[          , genome 18646] predictions:    9895/  10000 (98.95%), best:    9903/10000 (99.03%), error:       306.75266, best error:       305.78238 on epoch:    63, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 1775.0709228516s, input_fired_time: 25.6008930206, output_fired_time: 22.1852149963, propagate_forward_time: 658.6470336914, propagate_backward_time: 1035.1922607422, weight_update_time: 2.2563626766, other_time: 33.4454345703
epoch time: 175.5390014648s, input_fired_time: 3.2165267467, output_fired_time: 0.0000000000, propagate_forward_time: 165.7503814697, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.5720977783
validation[          , genome 18646] predictions:    9894/  10000 (98.94%), best:    9903/10000 (99.03%), error:       323.33221, best error:       305.78238 on epoch:    63, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 1135.5634765625s, input_fired_time: 15.0969028473, output_fired_time: 15.0380620956, propagate_forward_time: 426.1005554199, propagate_backward_time: 659.6327514648, weight_update_time: 1.0139125586, other_time: 19.6951293945
epoch time: 65.1461563110s, input_fired_time: 1.5030661821, output_fired_time: 0.0000000000, propagate_forward_time: 61.1479682922, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4951210022
validation[          , genome 18646] predictions:    9900/  10000 (99.00%), best:    9903/10000 (99.03%), error:       309.33667, best error:       305.78238 on epoch:    63, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 816.5864257813s, input_fired_time: 11.8696451187, output_fired_time: 10.3152732849, propagate_forward_time: 301.2509460449, propagate_backward_time: 478.0792846680, weight_update_time: 0.9164060354, other_time: 15.0713195801
epoch time: 61.3687362671s, input_fired_time: 1.4370385408, output_fired_time: 0.0000000000, propagate_forward_time: 57.5699234009, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3617744446
validation[          , genome 18646] predictions:    9900/  10000 (99.00%), best:    9903/10000 (99.03%), error:       308.28864, best error:       305.78238 on epoch:    63, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 764.8831787109s, input_fired_time: 11.7787437439, output_fired_time: 9.6257514954, propagate_forward_time: 285.0185852051, propagate_backward_time: 444.5256347656, weight_update_time: 0.8237395883, other_time: 13.9344787598
epoch time: 60.2872619629s, input_fired_time: 1.4457367659, output_fired_time: 0.0000000000, propagate_forward_time: 56.1773605347, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6641654968
validation[          , genome 18646] predictions:    9900/  10000 (99.00%), best:    9903/10000 (99.03%), error:       317.95142, best error:       305.78238 on epoch:    63, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

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_1509103842_23_18646.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1509103842_23_18646_1_r1875257361_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: 0.982697
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000186314
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.45255e-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: 82
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 63
read number_validation_images: 10000
read best_validation_predictions: 9903
read best_validation_error: 305.782
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: 18646
read normal distribution: '1 0 0'
generator_str: '1799905531'
read generator: 1799905531
read generated_by_map:
1 disable_edge 1
reading 90 nodes.
reading 295 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: 513.091430664063s, input_fired_time: 8.63690853118896, output_fired_time: 6.60644769668579, propagate_forward_time: 181.103775024414, propagate_backward_time: 308.272338867188, weight_update_time: 0.574117600917816, other_time: 8.47198486328125
epoch time: 38.6355819702148s, input_fired_time: 0.980271756649017, output_fired_time: 0, propagate_forward_time: 36.1362915039063, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.51902008056641
validation[          , genome 18646] predictions:    9898/  10000 (98.98%), best:    9903/10000 (99.03%), error:       308.15842, best error:       305.78238 on epoch:    63, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 501.1216735840s, input_fired_time: 8.5884714127, output_fired_time: 6.4682083130, propagate_forward_time: 176.3867187500, propagate_backward_time: 301.1796875000, weight_update_time: 0.5681717992, other_time: 8.4985961914
epoch time: 41.9733238220s, input_fired_time: 1.0462054014, output_fired_time: 0.0000000000, propagate_forward_time: 39.2067260742, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7203941345
validation[          , genome 18646] predictions:    9893/  10000 (98.93%), best:    9903/10000 (99.03%), error:       314.98190, best error:       305.78238 on epoch:    63, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 529.7077636719s, input_fired_time: 8.8189010620, output_fired_time: 6.8246865273, propagate_forward_time: 188.5378723145, propagate_backward_time: 316.8231201172, weight_update_time: 0.5866522789, other_time: 8.7031555176
epoch time: 41.2528839111s, input_fired_time: 1.0223730803, output_fired_time: 0.0000000000, propagate_forward_time: 38.6218986511, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6086120605
validation[          , genome 18646] predictions:    9889/  10000 (98.89%), best:    9903/10000 (99.03%), error:       311.13721, best error:       305.78238 on epoch:    63, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

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_1509103842_23_18646.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1509103842_23_18646_1_r1875257361_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: 0.983738
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000159741
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 6.38963e-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: 85
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 63
read number_validation_images: 10000
read best_validation_predictions: 9903
read best_validation_error: 305.782
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: 18646
read normal distribution: '1 0 0'
generator_str: '1683189751'
read generator: 1683189751
read generated_by_map:
1 disable_edge 1
reading 90 nodes.
reading 295 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!
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_1509103842_23_18646.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1509103842_23_18646_1_r1875257361_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: 0.983738
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000159741
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 6.38963e-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: 85
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 63
read number_validation_images: 10000
read best_validation_predictions: 9903
read best_validation_error: 305.782
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: 18646
read normal distribution: '1 0 0'
generator_str: '1683189751'
read generator: 1683189751
read generated_by_map:
1 disable_edge 1
reading 90 nodes.
reading 295 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: 803.429809570313s, input_fired_time: 11.5952043533325, output_fired_time: 10.0225086212158, propagate_forward_time: 296.245635986328, propagate_backward_time: 470.761413574219, weight_update_time: 0.816317915916443, other_time: 14.8050231933594
epoch time: 61.4572982788086s, input_fired_time: 1.35222554206848, output_fired_time: 0, propagate_forward_time: 57.4636383056641, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.64143371582031
validation[          , genome 18646] predictions:    9891/  10000 (98.91%), best:    9903/10000 (99.03%), error:       316.13538, best error:       305.78238 on epoch:    63, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 799.4592285156s, input_fired_time: 11.4739255905, output_fired_time: 10.1117086411, propagate_forward_time: 294.8375854492, propagate_backward_time: 468.3085021973, weight_update_time: 0.7967028618, other_time: 14.7275085449
epoch time: 60.1488494873s, input_fired_time: 1.3261597157, output_fired_time: 0.0000000000, propagate_forward_time: 56.2732238770, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5494651794
validation[          , genome 18646] predictions:    9900/  10000 (99.00%), best:    9903/10000 (99.03%), error:       321.28308, best error:       305.78238 on epoch:    63, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 784.9758911133s, input_fired_time: 11.3043184280, output_fired_time: 9.9231548309, propagate_forward_time: 287.8217773438, propagate_backward_time: 461.8886718750, weight_update_time: 0.7772863507, other_time: 14.0379638672
epoch time: 60.9150314331s, input_fired_time: 1.3584092855, output_fired_time: 0.0000000000, propagate_forward_time: 56.9256629944, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6309585571
validation[          , genome 18646] predictions:    9902/  10000 (99.02%), best:    9902/10000 (99.02%), error:       303.75378, best error:       303.75378 on epoch:    87, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 773.0718383789s, input_fired_time: 11.1609497070, output_fired_time: 9.8087530136, propagate_forward_time: 283.6260070801, propagate_backward_time: 454.6800537109, weight_update_time: 0.7739944458, other_time: 13.7960510254
epoch time: 60.4057044983s, input_fired_time: 1.3418713808, output_fired_time: 0.0000000000, propagate_forward_time: 56.3970985413, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6667327881
validation[          , genome 18646] predictions:    9899/  10000 (98.99%), best:    9902/10000 (99.02%), error:       312.27142, best error:       303.75378 on epoch:    87, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 772.5156250000s, input_fired_time: 11.1812362671, output_fired_time: 9.7932739258, propagate_forward_time: 284.1406860352, propagate_backward_time: 453.7498474121, weight_update_time: 0.7703883648, other_time: 13.6506042480
epoch time: 58.3224220276s, input_fired_time: 1.2946286201, output_fired_time: 0.0000000000, propagate_forward_time: 54.8371276855, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1906661987
validation[          , genome 18646] predictions:    9895/  10000 (98.95%), best:    9902/10000 (99.02%), error:       310.38986, best error:       303.75378 on epoch:    87, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 779.4556884766s, input_fired_time: 11.2316188812, output_fired_time: 9.7861309052, propagate_forward_time: 286.1916809082, propagate_backward_time: 458.6440429688, weight_update_time: 0.7667766213, other_time: 13.6022033691
epoch time: 61.1066818237s, input_fired_time: 1.3615570068, output_fired_time: 0.0000000000, propagate_forward_time: 57.1999168396, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5452079773
validation[          , genome 18646] predictions:    9896/  10000 (98.96%), best:    9902/10000 (99.02%), error:       306.80289, best error:       303.75378 on epoch:    87, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

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_1509103842_23_18646.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1509103842_23_18646_1_r1875257361_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: 0.985397
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000117424
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.69697e-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: 91
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 87
read number_validation_images: 10000
read best_validation_predictions: 9902
read best_validation_error: 303.754
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: 18646
read normal distribution: '1 0 0'
generator_str: '209612488'
read generator: 209612488
read generated_by_map:
1 disable_edge 1
reading 90 nodes.
reading 295 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: 832.475524902344s, input_fired_time: 11.9557104110718, output_fired_time: 10.497896194458, propagate_forward_time: 308.131713867188, propagate_backward_time: 486.714965820313, weight_update_time: 0.833352267742157, other_time: 15.1752319335938
epoch time: 62.1350135803223s, input_fired_time: 1.36285877227783, output_fired_time: 0, propagate_forward_time: 58.1916580200195, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.58049774169922
validation[          , genome 18646] predictions:    9904/  10000 (99.04%), best:    9904/10000 (99.04%), error:       302.72565, best error:       302.72565 on epoch:    91, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 836.2653198242s, input_fired_time: 11.8265686035, output_fired_time: 10.6816902161, propagate_forward_time: 308.8615417480, propagate_backward_time: 490.2626647949, weight_update_time: 0.7959178686, other_time: 14.6328125000
epoch time: 67.3528594971s, input_fired_time: 1.3785691261, output_fired_time: 0.0000000000, propagate_forward_time: 63.2965507507, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6777381897
validation[          , genome 18646] predictions:    9900/  10000 (99.00%), best:    9904/10000 (99.04%), error:       313.53955, best error:       302.72565 on epoch:    91, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 854.8325195313s, input_fired_time: 12.0560960770, output_fired_time: 10.7335643768, propagate_forward_time: 309.5329589844, propagate_backward_time: 507.8382873535, weight_update_time: 0.8365979791, other_time: 14.6716003418
epoch time: 65.3020095825s, input_fired_time: 1.5427122116, output_fired_time: 0.0000000000, propagate_forward_time: 60.9777793884, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7815170288
validation[          , genome 18646] predictions:    9903/  10000 (99.03%), best:    9904/10000 (99.04%), error:       310.89130, best error:       302.72565 on epoch:    91, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 1215.2968750000s, input_fired_time: 16.1207523346, output_fired_time: 15.8157310486, propagate_forward_time: 452.9702453613, propagate_backward_time: 708.9081420898, weight_update_time: 1.2546126842, other_time: 21.4821166992
epoch time: 119.3723602295s, input_fired_time: 2.2972466946, output_fired_time: 0.0000000000, propagate_forward_time: 112.7535858154, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.3215255737
validation[          , genome 18646] predictions:    9899/  10000 (98.99%), best:    9904/10000 (99.04%), error:       314.46661, best error:       302.72565 on epoch:    91, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 1380.4421386719s, input_fired_time: 17.2664813995, output_fired_time: 18.1688098907, propagate_forward_time: 512.8959960938, propagate_backward_time: 806.6849975586, weight_update_time: 0.9194658995, other_time: 25.4258422852
epoch time: 109.4548492432s, input_fired_time: 2.5331399441, output_fired_time: 0.0000000000, propagate_forward_time: 101.9339370728, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9877700806
validation[          , genome 18646] predictions:    9900/  10000 (99.00%), best:    9904/10000 (99.04%), error:       307.19727, best error:       302.72565 on epoch:    91, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 1400.1385498047s, input_fired_time: 18.5358085632, output_fired_time: 18.8828353882, propagate_forward_time: 523.2194213867, propagate_backward_time: 816.1864624023, weight_update_time: 0.9043882489, other_time: 23.3140869141
epoch time: 114.8807601929s, input_fired_time: 2.5874819756, output_fired_time: 0.0000000000, propagate_forward_time: 106.2110595703, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.0822219849
validation[          , genome 18646] predictions:    9896/  10000 (98.96%), best:    9904/10000 (99.04%), error:       314.43915, best error:       302.72565 on epoch:    91, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 1584.7907714844s, input_fired_time: 21.3000926971, output_fired_time: 20.3961353302, propagate_forward_time: 582.2225341797, propagate_backward_time: 938.2131347656, weight_update_time: 1.0902261734, other_time: 22.6589355469
epoch time: 119.5133361816s, input_fired_time: 3.0854508877, output_fired_time: 0.0000000000, propagate_forward_time: 112.2644577026, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1634292603
validation[          , genome 18646] predictions:    9893/  10000 (98.93%), best:    9904/10000 (99.04%), error:       320.05508, best error:       302.72565 on epoch:    91, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 1665.7871093750s, input_fired_time: 20.1127567291, output_fired_time: 21.8925552368, propagate_forward_time: 628.4550781250, propagate_backward_time: 970.7990112305, weight_update_time: 1.0166138411, other_time: 24.5276489258
epoch time: 124.9163818359s, input_fired_time: 3.1956987381, output_fired_time: 0.0000000000, propagate_forward_time: 118.1614990234, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5591812134
validation[          , genome 18646] predictions:    9894/  10000 (98.94%), best:    9904/10000 (99.04%), error:       313.26431, best error:       302.72565 on epoch:    91, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 1526.7674560547s, input_fired_time: 22.0120754242, output_fired_time: 16.8875617981, propagate_forward_time: 570.9199218750, propagate_backward_time: 894.3187255859, weight_update_time: 1.2932814360, other_time: 22.6291503906
epoch time: 115.2502975464s, input_fired_time: 2.2314536572, output_fired_time: 0.0000000000, propagate_forward_time: 109.1208419800, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8980026245
validation[          , genome 18646] predictions:    9895/  10000 (98.95%), best:    9904/10000 (99.04%), error:       315.40988, best error:       302.72565 on epoch:    91, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 1436.0482177734s, input_fired_time: 17.4775028229, output_fired_time: 18.6296825409, propagate_forward_time: 542.9509277344, propagate_backward_time: 838.1934204102, weight_update_time: 0.8530246615, other_time: 18.7966918945
epoch time: 107.8963623047s, input_fired_time: 1.8682347536, output_fired_time: 0.0000000000, propagate_forward_time: 102.1363220215, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8918075562
validation[          , genome 18646] predictions:    9899/  10000 (98.99%), best:    9904/10000 (99.04%), error:       307.54745, best error:       302.72565 on epoch:    91, 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: 523.1541748047s, input_fired_time: 11.9689950943, output_fired_time: 0.0000000000, propagate_forward_time: 496.4647827148, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 14.7203979492
best training[          , genome 18646] predictions:   49999/  50000 (100.00%), best:    9904/10000 (99.04%), error:       111.95235, best error:       302.72565 on epoch:    91, 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: 105.3618087769s, input_fired_time: 2.4389081001, output_fired_time: 0.0000000000, propagate_forward_time: 100.8467712402, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0761260986
   testing[          , genome 18646] predictions:    9925/  10000 (99.25%), best:    9904/10000 (99.04%), error:       259.98462, best error:       302.72565 on epoch:    91, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
10:09:41 (2612): called boinc_finish(0)

</stderr_txt>
]]>