Nameexact_genome_1518178202_48_18356_1
Workunit2992211
Created9 Feb 2018, 16:37:36 UTC
Sent9 Feb 2018, 17:01:55 UTC
Report deadline15 Apr 2018, 6:16:16 UTC
Received12 Feb 2018, 1:34:57 UTC
Server stateOver
OutcomeValidate error
Client stateDone
Exit status0 (0x0)
Computer ID64865
Run time2 days 0 hours 19 min 47 sec
CPU time2 days 0 hours 15 min 47 sec
Validate stateInvalid
Credit0.00
Device peak FLOPS2.12 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33
Peak working set size183.06 MB
Peak swap size184.78 MB
Peak disk usage4.85 MB

Stderr output

<core_client_version>7.6.31</core_client_version>
<![CDATA[
<stderr_txt>
och time: 1587.6230468750s, input_fired_time: 17.5022239685, output_fired_time: 12.1382198334, propagate_forward_time: 625.3568725586, propagate_backward_time: 904.7095336914, weight_update_time: 2.0715188980, other_time: 27.9162597656
epoch time: 131.6958007812s, input_fired_time: 1.9350119829, output_fired_time: 0.0000000000, propagate_forward_time: 124.6621246338, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0986633301
validation[          , genome 18356] predictions:    9881/  10000 (98.81%), best:    9890/10000 (98.90%), error:       366.51337, best error:       351.89288 on epoch:    26, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1589.3027343750s, input_fired_time: 17.5268001556, output_fired_time: 12.1259975433, propagate_forward_time: 626.0571899414, propagate_backward_time: 905.5780639648, weight_update_time: 2.0754363537, other_time: 28.0146484375
epoch time: 131.7593688965s, input_fired_time: 1.9606593847, output_fired_time: 0.0000000000, propagate_forward_time: 124.7628936768, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0358123779
validation[          , genome 18356] predictions:    9896/  10000 (98.96%), best:    9896/10000 (98.96%), error:       334.72131, best error:       334.72131 on epoch:    34, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1587.1002197266s, input_fired_time: 17.5401344299, output_fired_time: 12.1622018814, propagate_forward_time: 624.1936035156, propagate_backward_time: 905.1524658203, weight_update_time: 2.0874183178, other_time: 28.0517578125
epoch time: 132.4778747559s, input_fired_time: 1.9449380636, output_fired_time: 0.0000000000, propagate_forward_time: 125.5535583496, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9793853760
validation[          , genome 18356] predictions:    9887/  10000 (98.87%), best:    9896/10000 (98.96%), error:       353.87683, best error:       334.72131 on epoch:    34, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1588.9141845703s, input_fired_time: 17.4970741272, output_fired_time: 12.1011199951, propagate_forward_time: 626.1217651367, propagate_backward_time: 905.2351074219, weight_update_time: 2.0747799873, other_time: 27.9591674805
epoch time: 132.6524810791s, input_fired_time: 1.9622339010, output_fired_time: 0.0000000000, propagate_forward_time: 125.7381973267, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9520492554
validation[          , genome 18356] predictions:    9888/  10000 (98.88%), best:    9896/10000 (98.96%), error:       366.32471, best error:       334.72131 on epoch:    34, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1588.5549316406s, input_fired_time: 17.5143318176, output_fired_time: 12.1011953354, propagate_forward_time: 626.0556640625, propagate_backward_time: 905.1890258789, weight_update_time: 2.0728039742, other_time: 27.6947631836
epoch time: 132.2552490234s, input_fired_time: 1.9604457617, output_fired_time: 0.0000000000, propagate_forward_time: 125.3582077026, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9365921021
validation[          , genome 18356] predictions:    9884/  10000 (98.84%), best:    9896/10000 (98.96%), error:       371.19183, best error:       334.72131 on epoch:    34, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1589.0622558594s, input_fired_time: 17.5334091187, output_fired_time: 12.1318778992, propagate_forward_time: 626.1532592773, propagate_backward_time: 905.4257202148, weight_update_time: 2.0796334743, other_time: 27.8179931641
epoch time: 132.5153808594s, input_fired_time: 1.9440764189, output_fired_time: 0.0000000000, propagate_forward_time: 125.6263656616, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9449386597
validation[          , genome 18356] predictions:    9902/  10000 (99.02%), best:    9902/10000 (99.02%), error:       318.84375, best error:       318.84375 on epoch:    38, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1586.2297363281s, input_fired_time: 17.4925289154, output_fired_time: 12.0946817398, propagate_forward_time: 624.7318725586, propagate_backward_time: 904.1553344727, weight_update_time: 2.0658497810, other_time: 27.7552490234
epoch time: 131.4443054199s, input_fired_time: 1.9542323351, output_fired_time: 0.0000000000, propagate_forward_time: 124.5119781494, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9780883789
validation[          , genome 18356] predictions:    9894/  10000 (98.94%), best:    9902/10000 (99.02%), error:       319.12482, best error:       318.84375 on epoch:    38, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1585.7529296875s, input_fired_time: 17.5017948151, output_fired_time: 12.0888605118, propagate_forward_time: 624.6468505859, propagate_backward_time: 903.7603759766, weight_update_time: 2.0621662140, other_time: 27.7550048828
epoch time: 131.7826385498s, input_fired_time: 1.9405509233, output_fired_time: 0.0000000000, propagate_forward_time: 124.8472671509, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9948196411
validation[          , genome 18356] predictions:    9899/  10000 (98.99%), best:    9902/10000 (99.02%), error:       331.26044, best error:       318.84375 on epoch:    38, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1587.1889648438s, input_fired_time: 17.4885330200, output_fired_time: 12.0881233215, propagate_forward_time: 625.6100463867, propagate_backward_time: 904.1381225586, weight_update_time: 2.0619764328, other_time: 27.8641357422
epoch time: 131.4808197021s, input_fired_time: 1.9545465708, output_fired_time: 0.0000000000, propagate_forward_time: 124.5549545288, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9713211060
validation[          , genome 18356] predictions:    9910/  10000 (99.10%), best:    9910/10000 (99.10%), error:       287.85260, best error:       287.85260 on epoch:    41, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1583.5200195312s, input_fired_time: 17.5043449402, output_fired_time: 12.0754652023, propagate_forward_time: 623.8194580078, propagate_backward_time: 902.4003295898, weight_update_time: 2.0620393753, other_time: 27.7203979492
epoch time: 131.8809204102s, input_fired_time: 1.9483071566, output_fired_time: 0.0000000000, propagate_forward_time: 125.0222473145, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9103698730
validation[          , genome 18356] predictions:    9895/  10000 (98.95%), best:    9910/10000 (99.10%), error:       331.12653, best error:       287.85260 on epoch:    41, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1584.5334472656s, input_fired_time: 17.5216655731, output_fired_time: 12.0961446762, propagate_forward_time: 624.2579345703, propagate_backward_time: 902.8786010742, weight_update_time: 2.0715472698, other_time: 27.7791137695
epoch time: 132.0566406250s, input_fired_time: 1.9722207785, output_fired_time: 0.0000000000, propagate_forward_time: 125.0718612671, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0125656128
validation[          , genome 18356] predictions:    9904/  10000 (99.04%), best:    9910/10000 (99.10%), error:       288.10782, best error:       287.85260 on epoch:    41, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1586.7667236328s, input_fired_time: 17.5365066528, output_fired_time: 12.0358867645, propagate_forward_time: 625.6595458984, propagate_backward_time: 904.0062255859, weight_update_time: 2.0652952194, other_time: 27.5285644531
epoch time: 132.1044616699s, input_fired_time: 1.9749261141, output_fired_time: 0.0000000000, propagate_forward_time: 125.0774536133, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0520782471
validation[          , genome 18356] predictions:    9902/  10000 (99.02%), best:    9910/10000 (99.10%), error:       303.41400, best error:       287.85260 on epoch:    41, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1589.1101074219s, input_fired_time: 17.5360927582, output_fired_time: 12.0866231918, propagate_forward_time: 626.2773437500, propagate_backward_time: 905.5166015625, weight_update_time: 2.0562105179, other_time: 27.6933593750
epoch time: 131.9819641113s, input_fired_time: 1.9682201147, output_fired_time: 0.0000000000, propagate_forward_time: 125.0334167480, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9803314209
validation[          , genome 18356] predictions:    9905/  10000 (99.05%), best:    9910/10000 (99.10%), error:       299.53967, best error:       287.85260 on epoch:    41, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1587.0257568359s, input_fired_time: 17.5509853363, output_fired_time: 12.0488119125, propagate_forward_time: 624.9389038086, propagate_backward_time: 905.0114135742, weight_update_time: 2.0725762844, other_time: 27.4755859375
epoch time: 132.6112518311s, input_fired_time: 1.9665079117, output_fired_time: 0.0000000000, propagate_forward_time: 125.6724548340, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9722900391
validation[          , genome 18356] predictions:    9910/  10000 (99.10%), best:    9910/10000 (99.10%), error:       294.60522, best error:       287.85260 on epoch:    41, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1595.4724121094s, input_fired_time: 17.6078453064, output_fired_time: 12.0924549103, propagate_forward_time: 629.3564453125, propagate_backward_time: 908.6024169922, weight_update_time: 2.0674028397, other_time: 27.8133544922
epoch time: 131.5640258789s, input_fired_time: 1.9675874710, output_fired_time: 0.0000000000, propagate_forward_time: 124.6954345703, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9010009766
validation[          , genome 18356] predictions:    9916/  10000 (99.16%), best:    9916/10000 (99.16%), error:       278.18417, best error:       278.18417 on epoch:    47, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1593.5062255859s, input_fired_time: 17.5817527771, output_fired_time: 12.0946588516, propagate_forward_time: 627.9489135742, propagate_backward_time: 908.2616577148, weight_update_time: 2.0635163784, other_time: 27.6192626953
epoch time: 132.2967529297s, input_fired_time: 1.9725506306, output_fired_time: 0.0000000000, propagate_forward_time: 125.4344787598, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.8897247314
validation[          , genome 18356] predictions:    9849/  10000 (98.49%), best:    9916/10000 (99.16%), error:       468.93613, best error:       278.18417 on epoch:    47, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1587.2935791016s, input_fired_time: 17.5470256805, output_fired_time: 12.0496082306, propagate_forward_time: 625.6566772461, propagate_backward_time: 904.3569946289, weight_update_time: 2.0564706326, other_time: 27.6833496094
epoch time: 131.6664886475s, input_fired_time: 1.9633955956, output_fired_time: 0.0000000000, propagate_forward_time: 124.6850357056, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0180587769
validation[          , genome 18356] predictions:    9907/  10000 (99.07%), best:    9916/10000 (99.16%), error:       305.41245, best error:       278.18417 on epoch:    47, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1587.0289306641s, input_fired_time: 17.6114311218, output_fired_time: 12.1660156250, propagate_forward_time: 624.9979858398, propagate_backward_time: 904.3720092773, weight_update_time: 2.0576336384, other_time: 27.8814697266
epoch time: 131.7745666504s, input_fired_time: 1.9797048569, output_fired_time: 0.0000000000, propagate_forward_time: 124.7012329102, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0936279297
validation[          , genome 18356] predictions:    9896/  10000 (98.96%), best:    9916/10000 (99.16%), error:       315.17459, best error:       278.18417 on epoch:    47, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 1588.3145751953s, input_fired_time: 17.6358489990, output_fired_time: 12.0859317780, propagate_forward_time: 626.0698852539, propagate_backward_time: 904.7994384766, weight_update_time: 2.0647099018, other_time: 27.7234497070
epoch time: 132.3958129883s, input_fired_time: 1.9907387495, output_fired_time: 0.0000000000, propagate_forward_time: 125.3618164062, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0432586670
validation[          , genome 18356] predictions:    9891/  10000 (98.91%), best:    9916/10000 (99.16%), error:       334.50909, best error:       278.18417 on epoch:    47, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 1588.8029785156s, input_fired_time: 17.6279888153, output_fired_time: 12.1128406525, propagate_forward_time: 626.5375366211, propagate_backward_time: 904.7851562500, weight_update_time: 2.0703885555, other_time: 27.7395629883
epoch time: 132.0256347656s, input_fired_time: 1.9817417860, output_fired_time: 0.0000000000, propagate_forward_time: 125.1038894653, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9400100708
validation[          , genome 18356] predictions:    9917/  10000 (99.17%), best:    9916/10000 (99.16%), error:       287.12347, best error:       278.18417 on epoch:    47, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 1588.1793212891s, input_fired_time: 17.6368007660, output_fired_time: 12.1214971542, propagate_forward_time: 625.6787109375, propagate_backward_time: 904.9788818359, weight_update_time: 2.0559773445, other_time: 27.7634277344
epoch time: 131.8332366943s, input_fired_time: 2.0023484230, output_fired_time: 0.0000000000, propagate_forward_time: 124.8807601929, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9501266479
validation[          , genome 18356] predictions:    9918/  10000 (99.18%), best:    9918/10000 (99.18%), error:       262.44302, best error:       262.44302 on epoch:    53, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 1590.1680908203s, input_fired_time: 17.6229228973, output_fired_time: 12.1193990707, propagate_forward_time: 625.4450073242, propagate_backward_time: 907.3773193359, weight_update_time: 2.0794968605, other_time: 27.6034545898
epoch time: 131.3271636963s, input_fired_time: 1.9884363413, output_fired_time: 0.0000000000, propagate_forward_time: 124.3277435303, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0109863281
validation[          , genome 18356] predictions:    9903/  10000 (99.03%), best:    9918/10000 (99.18%), error:       309.80704, best error:       262.44302 on epoch:    53, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 1585.6158447266s, input_fired_time: 17.5703239441, output_fired_time: 12.0363197327, propagate_forward_time: 624.1441650391, propagate_backward_time: 904.2126464844, weight_update_time: 2.0623629093, other_time: 27.6523437500
epoch time: 131.8125915527s, input_fired_time: 1.9669934511, output_fired_time: 0.0000000000, propagate_forward_time: 124.7881927490, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0574035645
validation[          , genome 18356] predictions:    9920/  10000 (99.20%), best:    9918/10000 (99.18%), error:       269.68265, best error:       262.44302 on epoch:    53, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 1587.5120849609s, input_fired_time: 17.5835342407, output_fired_time: 12.0127611160, propagate_forward_time: 625.3198242188, propagate_backward_time: 905.3107910156, weight_update_time: 2.0707156658, other_time: 27.2851562500
epoch time: 131.5679016113s, input_fired_time: 1.9825888872, output_fired_time: 0.0000000000, propagate_forward_time: 124.6288528442, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9564590454
validation[          , genome 18356] predictions:    9909/  10000 (99.09%), best:    9918/10000 (99.18%), error:       275.38290, best error:       262.44302 on epoch:    53, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 1588.3009033203s, input_fired_time: 17.6204280853, output_fired_time: 12.0531692505, propagate_forward_time: 625.6361083984, propagate_backward_time: 905.5734252930, weight_update_time: 2.0690782070, other_time: 27.4176635742
epoch time: 131.8085784912s, input_fired_time: 1.9954712391, output_fired_time: 0.0000000000, propagate_forward_time: 124.8910293579, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9220809937
validation[          , genome 18356] predictions:    9918/  10000 (99.18%), best:    9918/10000 (99.18%), error:       265.55759, best error:       262.44302 on epoch:    53, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 1586.6528320312s, input_fired_time: 17.6276321411, output_fired_time: 12.0411548615, propagate_forward_time: 625.1657714844, propagate_backward_time: 904.2683105469, weight_update_time: 2.0652081966, other_time: 27.5499267578
epoch time: 132.1142120361s, input_fired_time: 1.9903451204, output_fired_time: 0.0000000000, propagate_forward_time: 125.2411270142, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.8827438354
validation[          , genome 18356] predictions:    9922/  10000 (99.22%), best:    9918/10000 (99.18%), error:       275.89655, best error:       262.44302 on epoch:    53, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 1578.9274902344s, input_fired_time: 17.6125698090, output_fired_time: 12.0397052765, propagate_forward_time: 620.9168090820, propagate_backward_time: 900.8713378906, weight_update_time: 2.0635886192, other_time: 27.4871215820
epoch time: 127.7629013062s, input_fired_time: 1.9740908146, output_fired_time: 0.0000000000, propagate_forward_time: 120.8050537109, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9837570190
validation[          , genome 18356] predictions:    9906/  10000 (99.06%), best:    9918/10000 (99.18%), error:       295.67169, best error:       262.44302 on epoch:    53, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 1549.8865966797s, input_fired_time: 17.3885974884, output_fired_time: 11.6452512741, propagate_forward_time: 605.6057128906, propagate_backward_time: 888.0599365234, weight_update_time: 2.0553092957, other_time: 27.1871337891
epoch time: 132.0655975342s, input_fired_time: 1.9880915880, output_fired_time: 0.0000000000, propagate_forward_time: 125.1862716675, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.8912277222
validation[          , genome 18356] predictions:    9908/  10000 (99.08%), best:    9918/10000 (99.18%), error:       279.56793, best error:       262.44302 on epoch:    53, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 1593.1123046875s, input_fired_time: 17.6823081970, output_fired_time: 12.1032924652, propagate_forward_time: 628.1487426758, propagate_backward_time: 907.7221069336, weight_update_time: 2.0691118240, other_time: 27.4559326172
epoch time: 132.0584564209s, input_fired_time: 1.9916995764, output_fired_time: 0.0000000000, propagate_forward_time: 125.1239547729, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9428024292
validation[          , genome 18356] predictions:    9912/  10000 (99.12%), best:    9918/10000 (99.18%), error:       290.00806, best error:       262.44302 on epoch:    53, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 1593.4490966797s, input_fired_time: 17.6857528687, output_fired_time: 12.0598039627, propagate_forward_time: 628.3410644531, propagate_backward_time: 908.0550537109, weight_update_time: 2.0714557171, other_time: 27.3073730469
epoch time: 131.0864562988s, input_fired_time: 2.0196175575, output_fired_time: 0.0000000000, propagate_forward_time: 124.0540847778, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0127487183
validation[          , genome 18356] predictions:    9922/  10000 (99.22%), best:    9922/10000 (99.22%), error:       257.35742, best error:       257.35742 on epoch:    62, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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_1518178202_48_18356.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_48_18356_1_r1108224895_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.970645
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000493738
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.97495e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 63
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 62
read number_validation_images: 10000
read best_validation_predictions: 9922
read best_validation_error: 257.357
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: 18356
read normal distribution: '0 -0.841100931167603 -1.04351127147675'
generator_str: '253387970'
read generator: 253387970
read generated_by_map:
1 enable_node 1
reading 134 nodes.
reading 509 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_0.33_x86_64-pc-linux-gnu'
	'--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_1518178202_48_18356.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_48_18356_1_r1108224895_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.970645
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000493738
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.97495e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 63
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 62
read number_validation_images: 10000
read best_validation_predictions: 9922
read best_validation_error: 257.357
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: 18356
read normal distribution: '0 -0.841100931167603 -1.04351127147675'
generator_str: '253387970'
read generator: 253387970
read generated_by_map:
1 enable_node 1
reading 134 nodes.
reading 509 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: 1534.44860839844s, input_fired_time: 17.332181930542, output_fired_time: 11.5656175613403, propagate_forward_time: 597.39404296875, propagate_backward_time: 881.510314941406, weight_update_time: 2.04049634933472, other_time: 26.6464233398438
epoch time: 130.414199829102s, input_fired_time: 1.98661720752716, output_fired_time: 0, propagate_forward_time: 123.684127807617, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.74345397949219
validation[          , genome 18356] predictions:    9918/  10000 (99.18%), best:    9922/10000 (99.22%), error:       301.18408, best error:       257.35742 on epoch:    62, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 1580.7049560547s, input_fired_time: 17.7430496216, output_fired_time: 12.1623077393, propagate_forward_time: 621.6444091797, propagate_backward_time: 901.9658203125, weight_update_time: 2.1054170132, other_time: 27.1893310547
epoch time: 132.2228240967s, input_fired_time: 1.9887697697, output_fired_time: 0.0000000000, propagate_forward_time: 125.5674285889, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6666259766
validation[          , genome 18356] predictions:    9917/  10000 (99.17%), best:    9922/10000 (99.22%), error:       288.26370, best error:       257.35742 on epoch:    62, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 1583.2532958984s, input_fired_time: 17.5842075348, output_fired_time: 11.8484983444, propagate_forward_time: 623.9877929688, propagate_backward_time: 903.8199462891, weight_update_time: 2.0716345310, other_time: 26.0128173828
epoch time: 132.1918945312s, input_fired_time: 1.9734823704, output_fired_time: 0.0000000000, propagate_forward_time: 125.6220397949, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5963745117
validation[          , genome 18356] predictions:    9923/  10000 (99.23%), best:    9922/10000 (99.22%), error:       265.58289, best error:       257.35742 on epoch:    62, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 1585.1589355469s, input_fired_time: 17.5907726288, output_fired_time: 11.8684415817, propagate_forward_time: 625.0990600586, propagate_backward_time: 904.7181396484, weight_update_time: 2.0798454285, other_time: 25.8825073242
epoch time: 131.6804504395s, input_fired_time: 1.9769591093, output_fired_time: 0.0000000000, propagate_forward_time: 125.1008682251, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6026229858
validation[          , genome 18356] predictions:    9927/  10000 (99.27%), best:    9927/10000 (99.27%), error:       246.47366, best error:       246.47366 on epoch:    66, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 1589.5197753906s, input_fired_time: 17.5500793457, output_fired_time: 11.8475170135, propagate_forward_time: 627.6220092773, propagate_backward_time: 906.6323852539, weight_update_time: 2.0610842705, other_time: 25.8677978516
epoch time: 125.1074752808s, input_fired_time: 1.9185434580, output_fired_time: 0.0000000000, propagate_forward_time: 118.7034912109, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.4854431152
validation[          , genome 18356] predictions:    9917/  10000 (99.17%), best:    9927/10000 (99.27%), error:       274.13229, best error:       246.47366 on epoch:    66, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 1565.3366699219s, input_fired_time: 17.4443988800, output_fired_time: 11.6337556839, propagate_forward_time: 614.8160400391, propagate_backward_time: 895.7428588867, weight_update_time: 2.0547916889, other_time: 25.6995239258
epoch time: 130.1557922363s, input_fired_time: 1.9813315868, output_fired_time: 0.0000000000, propagate_forward_time: 123.5819625854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5924911499
validation[          , genome 18356] predictions:    9921/  10000 (99.21%), best:    9927/10000 (99.27%), error:       249.77997, best error:       246.47366 on epoch:    66, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 1577.6894531250s, input_fired_time: 17.5711097717, output_fired_time: 11.7849836349, propagate_forward_time: 620.7593994141, propagate_backward_time: 901.5231933594, weight_update_time: 2.0700831413, other_time: 26.0506591797
epoch time: 131.6717529297s, input_fired_time: 1.9706238508, output_fired_time: 0.0000000000, propagate_forward_time: 125.1159286499, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5851974487
validation[          , genome 18356] predictions:    9922/  10000 (99.22%), best:    9927/10000 (99.27%), error:       256.22034, best error:       246.47366 on epoch:    66, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 1542.4039306641s, input_fired_time: 17.2329158783, output_fired_time: 11.3184480667, propagate_forward_time: 603.9230346680, propagate_backward_time: 884.3477783203, weight_update_time: 2.0158162117, other_time: 25.5817260742
epoch time: 131.5532379150s, input_fired_time: 1.9753234386, output_fired_time: 0.0000000000, propagate_forward_time: 125.0480804443, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5298309326
validation[          , genome 18356] predictions:    9923/  10000 (99.23%), best:    9923/10000 (99.23%), error:       243.71547, best error:       243.71547 on epoch:    70, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 1552.2203369141s, input_fired_time: 17.3581027985, output_fired_time: 11.4575757980, propagate_forward_time: 608.0314331055, propagate_backward_time: 889.6896972656, weight_update_time: 2.0445206165, other_time: 25.6835327148
epoch time: 131.4901123047s, input_fired_time: 1.9848922491, output_fired_time: 0.0000000000, propagate_forward_time: 124.9326858521, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5725326538
validation[          , genome 18356] predictions:    9926/  10000 (99.26%), best:    9926/10000 (99.26%), error:       242.06049, best error:       242.06049 on epoch:    71, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 1581.8173828125s, input_fired_time: 17.6259040833, output_fired_time: 11.8489990234, propagate_forward_time: 623.4138793945, propagate_backward_time: 903.0070190430, weight_update_time: 2.0790042877, other_time: 25.9216308594
epoch time: 131.6964263916s, input_fired_time: 1.9674823284, output_fired_time: 0.0000000000, propagate_forward_time: 125.1050872803, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6238555908
validation[          , genome 18356] predictions:    9907/  10000 (99.07%), best:    9926/10000 (99.26%), error:       290.87567, best error:       242.06049 on epoch:    71, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 1566.7396240234s, input_fired_time: 17.5298709869, output_fired_time: 11.7103548050, propagate_forward_time: 615.4951782227, propagate_backward_time: 896.2772216797, weight_update_time: 2.0650651455, other_time: 25.7269897461
epoch time: 125.6807479858s, input_fired_time: 1.9282755852, output_fired_time: 0.0000000000, propagate_forward_time: 119.2280654907, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5244064331
validation[          , genome 18356] predictions:    9917/  10000 (99.17%), best:    9926/10000 (99.26%), error:       250.20900, best error:       242.06049 on epoch:    71, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 1568.1528320312s, input_fired_time: 17.5017662048, output_fired_time: 11.6587696075, propagate_forward_time: 616.1451416016, propagate_backward_time: 897.1820068359, weight_update_time: 2.0670719147, other_time: 25.6651611328
epoch time: 131.2669830322s, input_fired_time: 1.9903255701, output_fired_time: 0.0000000000, propagate_forward_time: 124.7043304443, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5723266602
validation[          , genome 18356] predictions:    9919/  10000 (99.19%), best:    9926/10000 (99.26%), error:       259.85498, best error:       242.06049 on epoch:    71, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 1575.6137695312s, input_fired_time: 17.5727977753, output_fired_time: 11.7746210098, propagate_forward_time: 619.7390747070, propagate_backward_time: 900.6302490234, weight_update_time: 2.0586631298, other_time: 25.8970336914
epoch time: 129.5817260742s, input_fired_time: 1.9479798079, output_fired_time: 0.0000000000, propagate_forward_time: 122.9450454712, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6886978149
validation[          , genome 18356] predictions:    9924/  10000 (99.24%), best:    9926/10000 (99.26%), error:       254.16225, best error:       242.06049 on epoch:    71, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 1572.5083007812s, input_fired_time: 17.5366859436, output_fired_time: 11.7923555374, propagate_forward_time: 618.2471313477, propagate_backward_time: 898.8680419922, weight_update_time: 2.0538599491, other_time: 26.0640258789
epoch time: 130.4826202393s, input_fired_time: 1.9898755550, output_fired_time: 0.0000000000, propagate_forward_time: 123.9415130615, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5512390137
validation[          , genome 18356] predictions:    9926/  10000 (99.26%), best:    9926/10000 (99.26%), error:       239.11852, best error:       239.11852 on epoch:    76, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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_1518178202_48_18356.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_48_18356_1_r1108224895_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: 0.980561
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000240784
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 9.63135e-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: 77
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 76
read number_validation_images: 10000
read best_validation_predictions: 9926
read best_validation_error: 239.119
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: 18356
read normal distribution: '0 -0.841100931167603 -1.04351127147675'
generator_str: '1258499112'
read generator: 1258499112
read generated_by_map:
1 enable_node 1
reading 134 nodes.
reading 509 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: 1575.42004394531s, input_fired_time: 17.8346824645996, output_fired_time: 12.2345943450928, propagate_forward_time: 618.054626464844, propagate_backward_time: 898.920593261719, weight_update_time: 2.08223676681519, other_time: 28.37548828125
epoch time: 128.011184692383s, input_fired_time: 1.9961519241333, output_fired_time: 0, propagate_forward_time: 120.974342346191, propagate_backward_time: 0, weight_update_time: 0, other_time: 5.04068756103516
validation[          , genome 18356] predictions:    9920/  10000 (99.20%), best:    9926/10000 (99.26%), error:       264.04767, best error:       239.11852 on epoch:    76, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 1540.6363525391s, input_fired_time: 17.6020507812, output_fired_time: 11.9747343063, propagate_forward_time: 600.3598022461, propagate_backward_time: 882.5227050781, weight_update_time: 2.0679543018, other_time: 28.1770629883
epoch time: 128.5575408936s, input_fired_time: 2.0494103432, output_fired_time: 0.0000000000, propagate_forward_time: 121.2462463379, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.2618865967
validation[          , genome 18356] predictions:    9919/  10000 (99.19%), best:    9926/10000 (99.26%), error:       278.78152, best error:       239.11852 on epoch:    76, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 1564.9813232422s, input_fired_time: 18.1087112427, output_fired_time: 12.4276227951, propagate_forward_time: 611.1826171875, propagate_backward_time: 893.3245239258, weight_update_time: 2.1528666019, other_time: 29.9378051758
epoch time: 130.9355316162s, input_fired_time: 2.0109717846, output_fired_time: 0.0000000000, propagate_forward_time: 123.7501068115, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.1744537354
validation[          , genome 18356] predictions:    9929/  10000 (99.29%), best:    9926/10000 (99.26%), error:       241.90807, best error:       239.11852 on epoch:    76, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 1571.5582275391s, input_fired_time: 17.8653850555, output_fired_time: 12.2721233368, propagate_forward_time: 615.4006958008, propagate_backward_time: 897.0454711914, weight_update_time: 2.1033070087, other_time: 28.9746093750
epoch time: 130.1312866211s, input_fired_time: 2.0064017773, output_fired_time: 0.0000000000, propagate_forward_time: 123.0703887939, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0544891357
validation[          , genome 18356] predictions:    9925/  10000 (99.25%), best:    9926/10000 (99.26%), error:       256.81473, best error:       239.11852 on epoch:    76, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 1572.8907470703s, input_fired_time: 17.9528179169, output_fired_time: 12.3678731918, propagate_forward_time: 615.8297119141, propagate_backward_time: 897.7323608398, weight_update_time: 2.1193482876, other_time: 29.0079956055
epoch time: 130.1445922852s, input_fired_time: 1.9859020710, output_fired_time: 0.0000000000, propagate_forward_time: 123.1562500000, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0024414062
validation[          , genome 18356] predictions:    9923/  10000 (99.23%), best:    9926/10000 (99.26%), error:       246.06827, best error:       239.11852 on epoch:    76, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 1579.9693603516s, input_fired_time: 17.9106693268, output_fired_time: 12.3090829849, propagate_forward_time: 619.8212890625, propagate_backward_time: 901.0476074219, weight_update_time: 2.1010906696, other_time: 28.8807373047
epoch time: 130.3397827148s, input_fired_time: 2.0158789158, output_fired_time: 0.0000000000, propagate_forward_time: 123.1170730591, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.2068252563
validation[          , genome 18356] predictions:    9923/  10000 (99.23%), best:    9923/10000 (99.23%), error:       236.96986, best error:       236.96986 on epoch:    82, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 1575.7319335938s, input_fired_time: 17.9218864441, output_fired_time: 12.3370275497, propagate_forward_time: 617.3479614258, propagate_backward_time: 899.1699218750, weight_update_time: 2.0956733227, other_time: 28.9551391602
epoch time: 130.7995605469s, input_fired_time: 2.0334024429, output_fired_time: 0.0000000000, propagate_forward_time: 123.5684814453, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.1976776123
validation[          , genome 18356] predictions:    9927/  10000 (99.27%), best:    9923/10000 (99.23%), error:       245.18275, best error:       236.96986 on epoch:    82, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 1572.9852294922s, input_fired_time: 17.8500232697, output_fired_time: 12.2677927017, propagate_forward_time: 616.2028198242, propagate_backward_time: 897.4490356445, weight_update_time: 2.1123652458, other_time: 29.2155761719
epoch time: 130.3745117188s, input_fired_time: 2.0242578983, output_fired_time: 0.0000000000, propagate_forward_time: 123.1975479126, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.1527023315
validation[          , genome 18356] predictions:    9930/  10000 (99.30%), best:    9923/10000 (99.23%), error:       249.49171, best error:       236.96986 on epoch:    82, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 1563.8560791016s, input_fired_time: 17.7960739136, output_fired_time: 12.1580181122, propagate_forward_time: 611.2155761719, propagate_backward_time: 893.4077148438, weight_update_time: 2.1244595051, other_time: 29.2788085938
epoch time: 130.4018096924s, input_fired_time: 2.0292372704, output_fired_time: 0.0000000000, propagate_forward_time: 123.2754898071, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0970840454
validation[          , genome 18356] predictions:    9926/  10000 (99.26%), best:    9923/10000 (99.23%), error:       251.18532, best error:       236.96986 on epoch:    82, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 1579.7124023438s, input_fired_time: 18.0949745178, output_fired_time: 12.3949155807, propagate_forward_time: 619.2176513672, propagate_backward_time: 900.4962768555, weight_update_time: 2.1300880909, other_time: 29.5086059570
epoch time: 131.2155761719s, input_fired_time: 2.1427681446, output_fired_time: 0.0000000000, propagate_forward_time: 123.6399459839, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.4328689575
validation[          , genome 18356] predictions:    9922/  10000 (99.22%), best:    9923/10000 (99.23%), error:       242.79021, best error:       236.96986 on epoch:    82, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 1585.1038818359s, input_fired_time: 18.2015075684, output_fired_time: 12.6267709732, propagate_forward_time: 622.6122436523, propagate_backward_time: 902.1445922852, weight_update_time: 2.1455991268, other_time: 29.5186767578
epoch time: 132.4152526855s, input_fired_time: 2.0873396397, output_fired_time: 0.0000000000, propagate_forward_time: 124.9640808105, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.3638305664
validation[          , genome 18356] predictions:    9929/  10000 (99.29%), best:    9923/10000 (99.23%), error:       241.60422, best error:       236.96986 on epoch:    82, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 1579.2381591797s, input_fired_time: 18.1552314758, output_fired_time: 12.5307569504, propagate_forward_time: 619.2897338867, propagate_backward_time: 899.5733032227, weight_update_time: 2.1645226479, other_time: 29.6890869141
epoch time: 132.6165313721s, input_fired_time: 2.0600008965, output_fired_time: 0.0000000000, propagate_forward_time: 125.3861083984, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.1704254150
validation[          , genome 18356] predictions:    9936/  10000 (99.36%), best:    9936/10000 (99.36%), error:       233.41560, best error:       233.41560 on epoch:    88, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 1580.6390380859s, input_fired_time: 18.0212936401, output_fired_time: 12.4637203217, propagate_forward_time: 620.8395385742, propagate_backward_time: 900.3326416016, weight_update_time: 2.1414356232, other_time: 28.9818725586
epoch time: 130.8840942383s, input_fired_time: 2.0445401669, output_fired_time: 0.0000000000, propagate_forward_time: 123.6048660278, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.2346878052
validation[          , genome 18356] predictions:    9930/  10000 (99.30%), best:    9936/10000 (99.36%), error:       237.63327, best error:       233.41560 on epoch:    88, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 1571.5354003906s, input_fired_time: 17.9423198700, output_fired_time: 12.3512544632, propagate_forward_time: 616.5291748047, propagate_backward_time: 895.8228149414, weight_update_time: 2.1033468246, other_time: 28.8899536133
epoch time: 129.9222869873s, input_fired_time: 2.0711066723, output_fired_time: 0.0000000000, propagate_forward_time: 122.6557006836, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.1954803467
validation[          , genome 18356] predictions:    9924/  10000 (99.24%), best:    9936/10000 (99.36%), error:       250.43292, best error:       233.41560 on epoch:    88, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 1552.8355712891s, input_fired_time: 17.7722969055, output_fired_time: 12.0106487274, propagate_forward_time: 606.7739257812, propagate_backward_time: 887.6373901367, weight_update_time: 2.1004481316, other_time: 28.6412963867
epoch time: 125.7615737915s, input_fired_time: 1.9768342972, output_fired_time: 0.0000000000, propagate_forward_time: 118.7509689331, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0337677002
validation[          , genome 18356] predictions:    9927/  10000 (99.27%), best:    9936/10000 (99.36%), error:       243.37715, best error:       233.41560 on epoch:    88, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 1571.9111328125s, input_fired_time: 17.8568058014, output_fired_time: 12.1358108521, propagate_forward_time: 615.4149780273, propagate_backward_time: 897.8906250000, weight_update_time: 2.0893929005, other_time: 28.6128540039
epoch time: 131.3493041992s, input_fired_time: 2.0891463757, output_fired_time: 0.0000000000, propagate_forward_time: 123.9965744019, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.2635879517
validation[          , genome 18356] predictions:    9926/  10000 (99.26%), best:    9936/10000 (99.36%), error:       240.50716, best error:       233.41560 on epoch:    88, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 1580.0074462891s, input_fired_time: 17.8322410583, output_fired_time: 12.2108125687, propagate_forward_time: 620.7452392578, propagate_backward_time: 900.6427612305, weight_update_time: 2.0902523994, other_time: 28.5763549805
epoch time: 132.5190582275s, input_fired_time: 2.0519044399, output_fired_time: 0.0000000000, propagate_forward_time: 125.4076080322, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0595397949
validation[          , genome 18356] predictions:    9932/  10000 (99.32%), best:    9936/10000 (99.36%), error:       233.53336, best error:       233.41560 on epoch:    88, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 1595.6798095703s, input_fired_time: 18.0380020142, output_fired_time: 12.4132785797, propagate_forward_time: 628.3107910156, propagate_backward_time: 908.6595458984, weight_update_time: 2.1275348663, other_time: 28.2581787109
epoch time: 132.4699401855s, input_fired_time: 2.0438725948, output_fired_time: 0.0000000000, propagate_forward_time: 125.2885208130, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.1375503540
validation[          , genome 18356] predictions:    9925/  10000 (99.25%), best:    9936/10000 (99.36%), error:       236.16061, best error:       233.41560 on epoch:    88, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 1583.5484619141s, input_fired_time: 17.9713230133, output_fired_time: 12.3029327393, propagate_forward_time: 622.0092163086, propagate_backward_time: 903.0106811523, weight_update_time: 2.1122665405, other_time: 28.2542724609
epoch time: 132.8174896240s, input_fired_time: 2.0677077770, output_fired_time: 0.0000000000, propagate_forward_time: 125.5833282471, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.1664581299
validation[          , genome 18356] predictions:    9927/  10000 (99.27%), best:    9936/10000 (99.36%), error:       244.92480, best error:       233.41560 on epoch:    88, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 1587.3850097656s, input_fired_time: 18.1161842346, output_fired_time: 12.5128240585, propagate_forward_time: 623.6253051758, propagate_backward_time: 904.4400024414, weight_update_time: 2.1338007450, other_time: 28.6906738281
epoch time: 131.5043945312s, input_fired_time: 2.0670363903, output_fired_time: 0.0000000000, propagate_forward_time: 124.3615722656, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0757904053
validation[          , genome 18356] predictions:    9920/  10000 (99.20%), best:    9936/10000 (99.36%), error:       239.04550, best error:       233.41560 on epoch:    88, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 1581.4658203125s, input_fired_time: 18.1047573090, output_fired_time: 12.4825239182, propagate_forward_time: 620.6048583984, propagate_backward_time: 901.5289306641, weight_update_time: 2.1292068958, other_time: 28.7447509766
epoch time: 131.9946899414s, input_fired_time: 2.1113932133, output_fired_time: 0.0000000000, propagate_forward_time: 124.5303802490, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.3529205322
validation[          , genome 18356] predictions:    9928/  10000 (99.28%), best:    9936/10000 (99.36%), error:       237.53319, best error:       233.41560 on epoch:    88, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 1581.5423583984s, input_fired_time: 18.0033073425, output_fired_time: 12.3316564560, propagate_forward_time: 620.5783081055, propagate_backward_time: 902.2359008789, weight_update_time: 2.1165149212, other_time: 28.3931884766
epoch time: 130.7434997559s, input_fired_time: 2.0400495529, output_fired_time: 0.0000000000, propagate_forward_time: 123.6062850952, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0971603394
validation[          , genome 18356] predictions:    9931/  10000 (99.31%), best:    9936/10000 (99.36%), error:       238.43158, best error:       233.41560 on epoch:    88, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 1585.9144287109s, input_fired_time: 17.9964675903, output_fired_time: 12.3197002411, propagate_forward_time: 623.0833129883, propagate_backward_time: 904.3373413086, weight_update_time: 2.1161644459, other_time: 28.1776123047
epoch time: 131.3813629150s, input_fired_time: 2.0326893330, output_fired_time: 0.0000000000, propagate_forward_time: 124.3823394775, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9663391113
validation[          , genome 18356] predictions:    9925/  10000 (99.25%), best:    9936/10000 (99.36%), error:       241.53546, best error:       233.41560 on epoch:    88, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 1587.9819335938s, input_fired_time: 18.0453872681, output_fired_time: 12.4101228714, propagate_forward_time: 624.2387084961, propagate_backward_time: 905.0051269531, weight_update_time: 2.1276674271, other_time: 28.2825317383
epoch time: 131.6677093506s, input_fired_time: 2.0351889133, output_fired_time: 0.0000000000, propagate_forward_time: 124.5849533081, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0475692749
validation[          , genome 18356] predictions:    9926/  10000 (99.26%), best:    9936/10000 (99.36%), error:       243.32739, best error:       233.41560 on epoch:    88, 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: 659.3128051758s, input_fired_time: 10.2321290970, output_fired_time: 0.0000000000, propagate_forward_time: 623.7459716797, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 25.3347167969
best training[          , genome 18356] predictions:   50000/  50000 (100.00%), best:    9936/10000 (99.36%), error:        68.82645, best error:       233.41560 on epoch:    88, 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: 132.8491668701s, input_fired_time: 2.0287139416, output_fired_time: 0.0000000000, propagate_forward_time: 125.7728347778, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0476150513
   testing[          , genome 18356] predictions:    9939/  10000 (99.39%), best:    9936/10000 (99.36%), error:       199.54828, best error:       233.41560 on epoch:    88, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
05:27:39 (1622): called boinc_finish(0)

</stderr_txt>
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