Nameexact_genome_1508499903_23_13338_2
Workunit2257089
Created4 Dec 2017, 15:33:07 UTC
Sent4 Dec 2017, 15:41:47 UTC
Report deadline16 Jan 2018, 14:44:32 UTC
Received6 Dec 2017, 9:00:38 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID52320
Run time21 hours 14 min 45 sec
CPU time21 hours 14 min 24 sec
Validate stateValid
Credit10,740.06
Device peak FLOPS2.93 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size174.20 MB
Peak swap size172.95 MB
Peak disk usage5.52 MB

Stderr output

<core_client_version>7.8.2</core_client_version>
<![CDATA[
<stderr_txt>
 other_time: 9.2458801270
epoch time: 55.5221366882s, input_fired_time: 1.1994619370, output_fired_time: 0.0000000000, propagate_forward_time: 52.6319313049, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6907424927
validation[          , genome 13338] predictions:    9854/  10000 (98.54%), best:    9854/10000 (98.54%), error:       442.82169, best error:       442.82169 on epoch:    27, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 699.3601684570s, input_fired_time: 9.8604049683, output_fired_time: 9.2396888733, propagate_forward_time: 263.1432800293, propagate_backward_time: 407.6955566406, weight_update_time: 0.7494772673, other_time: 9.4212341309
epoch time: 55.6879997253s, input_fired_time: 1.2115293741, output_fired_time: 0.0000000000, propagate_forward_time: 52.7789230347, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6975479126
validation[          , genome 13338] predictions:    9849/  10000 (98.49%), best:    9854/10000 (98.54%), error:       497.09131, best error:       442.82169 on epoch:    27, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 700.2913208008s, input_fired_time: 9.8433704376, output_fired_time: 9.2493314743, propagate_forward_time: 263.4130249023, propagate_backward_time: 408.4438171387, weight_update_time: 0.7455303073, other_time: 9.3417663574
epoch time: 55.5866088867s, input_fired_time: 1.1792346239, output_fired_time: 0.0000000000, propagate_forward_time: 52.8001022339, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6072731018
validation[          , genome 13338] predictions:    9849/  10000 (98.49%), best:    9854/10000 (98.54%), error:       491.52243, best error:       442.82169 on epoch:    27, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 700.9835205078s, input_fired_time: 9.8495578766, output_fired_time: 9.2764520645, propagate_forward_time: 263.7377014160, propagate_backward_time: 408.7510681152, weight_update_time: 0.7475456595, other_time: 9.3687744141
epoch time: 55.4403610229s, input_fired_time: 1.2090346813, output_fired_time: 0.0000000000, propagate_forward_time: 52.5352058411, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6961212158
validation[          , genome 13338] predictions:    9860/  10000 (98.60%), best:    9854/10000 (98.54%), error:       466.01501, best error:       442.82169 on epoch:    27, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 696.8562011719s, input_fired_time: 9.8512363434, output_fired_time: 9.2017412186, propagate_forward_time: 262.2901611328, propagate_backward_time: 406.0669250488, weight_update_time: 0.7487596869, other_time: 9.4461364746
epoch time: 55.5221443176s, input_fired_time: 1.1896252632, output_fired_time: 0.0000000000, propagate_forward_time: 52.6721611023, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6603584290
validation[          , genome 13338] predictions:    9819/  10000 (98.19%), best:    9854/10000 (98.54%), error:       582.38348, best error:       442.82169 on epoch:    27, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 698.2658081055s, input_fired_time: 9.6480503082, output_fired_time: 9.2261323929, propagate_forward_time: 262.8712463379, propagate_backward_time: 407.5357055664, weight_update_time: 0.7323210239, other_time: 8.9846496582
epoch time: 55.3215179443s, input_fired_time: 1.1795067787, output_fired_time: 0.0000000000, propagate_forward_time: 52.5367126465, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6052970886
validation[          , genome 13338] predictions:    9842/  10000 (98.42%), best:    9854/10000 (98.54%), error:       478.07803, best error:       442.82169 on epoch:    27, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 695.0515747070s, input_fired_time: 9.8530082703, output_fired_time: 9.1848573685, propagate_forward_time: 261.5581054688, propagate_backward_time: 405.0543518066, weight_update_time: 0.7410084009, other_time: 9.4012145996
epoch time: 55.5082473755s, input_fired_time: 1.2046459913, output_fired_time: 0.0000000000, propagate_forward_time: 52.6111679077, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6924324036
validation[          , genome 13338] predictions:    9867/  10000 (98.67%), best:    9867/10000 (98.67%), error:       441.83041, best error:       441.83041 on epoch:    33, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 697.2365722656s, input_fired_time: 9.8704271317, output_fired_time: 9.2058944702, propagate_forward_time: 262.4410705566, propagate_backward_time: 406.2854309082, weight_update_time: 0.7491332293, other_time: 9.4337768555
epoch time: 55.2394409180s, input_fired_time: 1.2003711462, output_fired_time: 0.0000000000, propagate_forward_time: 52.3500823975, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6889877319
validation[          , genome 13338] predictions:    9850/  10000 (98.50%), best:    9867/10000 (98.67%), error:       502.72821, best error:       441.83041 on epoch:    33, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 694.5750732422s, input_fired_time: 9.6747188568, output_fired_time: 9.1578493118, propagate_forward_time: 261.7595214844, propagate_backward_time: 404.9323425293, weight_update_time: 0.7306630015, other_time: 9.0506286621
epoch time: 55.5600891113s, input_fired_time: 1.2093442678, output_fired_time: 0.0000000000, propagate_forward_time: 52.6532173157, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6975288391
validation[          , genome 13338] predictions:    9875/  10000 (98.75%), best:    9875/10000 (98.75%), error:       409.60992, best error:       409.60992 on epoch:    35, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 699.1084594727s, input_fired_time: 9.7464256287, output_fired_time: 9.2293043137, propagate_forward_time: 263.2173767090, propagate_backward_time: 407.8099670410, weight_update_time: 0.7354024649, other_time: 9.1054077148
epoch time: 55.6792449951s, input_fired_time: 1.1812890768, output_fired_time: 0.0000000000, propagate_forward_time: 52.8860702515, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6118850708
validation[          , genome 13338] predictions:    9874/  10000 (98.74%), best:    9874/10000 (98.74%), error:       389.19305, best error:       389.19305 on epoch:    36, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 700.7614135742s, input_fired_time: 9.9009408951, output_fired_time: 9.2502851486, propagate_forward_time: 263.6735839844, propagate_backward_time: 408.4903869629, weight_update_time: 0.7504298687, other_time: 9.4461975098
epoch time: 55.2969055176s, input_fired_time: 1.1785099506, output_fired_time: 0.0000000000, propagate_forward_time: 52.5130920410, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6053047180
validation[          , genome 13338] predictions:    9874/  10000 (98.74%), best:    9874/10000 (98.74%), error:       411.43146, best error:       389.19305 on epoch:    36, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 696.6827392578s, input_fired_time: 9.6619262695, output_fired_time: 9.1851253510, propagate_forward_time: 262.3987731934, propagate_backward_time: 406.4438476563, weight_update_time: 0.7299313545, other_time: 8.9930725098
epoch time: 55.1236686707s, input_fired_time: 1.1790269613, output_fired_time: 0.0000000000, propagate_forward_time: 52.3427162170, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6019248962
validation[          , genome 13338] predictions:    9874/  10000 (98.74%), best:    9874/10000 (98.74%), error:       399.77112, best error:       389.19305 on epoch:    36, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 699.4929199219s, input_fired_time: 9.6831884384, output_fired_time: 9.2589292526, propagate_forward_time: 263.1291198730, propagate_backward_time: 408.4598388672, weight_update_time: 0.7328562737, other_time: 8.9618835449
epoch time: 55.4419708252s, input_fired_time: 1.2029179335, output_fired_time: 0.0000000000, propagate_forward_time: 52.5548362732, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6842155457
validation[          , genome 13338] predictions:    9866/  10000 (98.66%), best:    9874/10000 (98.74%), error:       421.73288, best error:       389.19305 on epoch:    36, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 697.2884521484s, input_fired_time: 9.7142791748, output_fired_time: 9.2001895905, propagate_forward_time: 262.5881958008, propagate_backward_time: 406.7560729980, weight_update_time: 0.7366899252, other_time: 9.0296936035
epoch time: 55.6191520691s, input_fired_time: 1.2004952431, output_fired_time: 0.0000000000, propagate_forward_time: 52.7590789795, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6595764160
validation[          , genome 13338] predictions:    9875/  10000 (98.75%), best:    9874/10000 (98.74%), error:       416.22504, best error:       389.19305 on epoch:    36, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 695.0510253906s, input_fired_time: 9.7013645172, output_fired_time: 9.1909322739, propagate_forward_time: 261.5864257813, propagate_backward_time: 405.5101928711, weight_update_time: 0.7342702150, other_time: 9.0621337891
epoch time: 54.9650611877s, input_fired_time: 1.1801658869, output_fired_time: 0.0000000000, propagate_forward_time: 52.1846542358, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6002426147
validation[          , genome 13338] predictions:    9876/  10000 (98.76%), best:    9874/10000 (98.74%), error:       428.28482, best error:       389.19305 on epoch:    36, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 699.6188354492s, input_fired_time: 9.8649406433, output_fired_time: 9.2399120331, propagate_forward_time: 263.1695251465, propagate_backward_time: 407.9798583984, weight_update_time: 0.7452836633, other_time: 9.3645935059
epoch time: 55.7655906677s, input_fired_time: 1.2104660273, output_fired_time: 0.0000000000, propagate_forward_time: 52.8609237671, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6942024231
validation[          , genome 13338] predictions:    9883/  10000 (98.83%), best:    9883/10000 (98.83%), error:       372.42743, best error:       372.42743 on epoch:    42, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 698.8226318359s, input_fired_time: 9.8802127838, output_fired_time: 9.2298507690, propagate_forward_time: 262.6814880371, propagate_backward_time: 407.6406860352, weight_update_time: 0.7467010021, other_time: 9.3904113770
epoch time: 55.2979774475s, input_fired_time: 1.2078272104, output_fired_time: 0.0000000000, propagate_forward_time: 52.3998718262, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6902770996
validation[          , genome 13338] predictions:    9857/  10000 (98.57%), best:    9883/10000 (98.83%), error:       448.46890, best error:       372.42743 on epoch:    42, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 695.9921264648s, input_fired_time: 9.6930389404, output_fired_time: 9.2005996704, propagate_forward_time: 262.0581359863, propagate_backward_time: 405.9914550781, weight_update_time: 0.7326563001, other_time: 9.0488586426
epoch time: 55.3204269409s, input_fired_time: 1.1845835447, output_fired_time: 0.0000000000, propagate_forward_time: 52.5208854675, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6149597168
validation[          , genome 13338] predictions:    9881/  10000 (98.81%), best:    9883/10000 (98.83%), error:       381.94174, best error:       372.42743 on epoch:    42, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 698.3703002930s, input_fired_time: 9.8913049698, output_fired_time: 9.2296733856, propagate_forward_time: 262.6194458008, propagate_backward_time: 407.2290954590, weight_update_time: 0.7488776445, other_time: 9.4007873535
epoch time: 55.5589714050s, input_fired_time: 1.1973391771, output_fired_time: 0.0000000000, propagate_forward_time: 52.7230644226, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6385688782
validation[          , genome 13338] predictions:    9865/  10000 (98.65%), best:    9883/10000 (98.83%), error:       432.46448, best error:       372.42743 on epoch:    42, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 698.1955566406s, input_fired_time: 9.7750816345, output_fired_time: 9.1963586807, propagate_forward_time: 262.9255676270, propagate_backward_time: 407.1231384277, weight_update_time: 0.7394000888, other_time: 9.1754150391
epoch time: 55.2024116516s, input_fired_time: 1.2039347887, output_fired_time: 0.0000000000, propagate_forward_time: 52.3164291382, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6820487976
validation[          , genome 13338] predictions:    9872/  10000 (98.72%), best:    9883/10000 (98.83%), error:       421.47015, best error:       372.42743 on epoch:    42, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 700.7286376953s, input_fired_time: 9.7193574905, output_fired_time: 9.2009801865, propagate_forward_time: 263.9607543945, propagate_backward_time: 408.9178161621, weight_update_time: 0.7296556234, other_time: 8.9297180176
epoch time: 55.0765304565s, input_fired_time: 1.2060226202, output_fired_time: 0.0000000000, propagate_forward_time: 52.1859092712, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6845970154
validation[          , genome 13338] predictions:    9868/  10000 (98.68%), best:    9883/10000 (98.83%), error:       455.19672, best error:       372.42743 on epoch:    42, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 696.0631103516s, input_fired_time: 9.8696899414, output_fired_time: 9.1959810257, propagate_forward_time: 262.0072631836, propagate_backward_time: 405.5986328125, weight_update_time: 0.7467018366, other_time: 9.3915405273
epoch time: 55.0813293457s, input_fired_time: 1.1851713657, output_fired_time: 0.0000000000, propagate_forward_time: 52.2926177979, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6035385132
validation[          , genome 13338] predictions:    9879/  10000 (98.79%), best:    9883/10000 (98.83%), error:       396.61847, best error:       372.42743 on epoch:    42, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 700.5169677734s, input_fired_time: 9.7609806061, output_fired_time: 9.2642936707, propagate_forward_time: 263.6866760254, propagate_backward_time: 408.7347106934, weight_update_time: 0.7355713844, other_time: 9.0703125000
epoch time: 55.8374633789s, input_fired_time: 1.1945704222, output_fired_time: 0.0000000000, propagate_forward_time: 53.0238380432, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6190567017
validation[          , genome 13338] predictions:    9881/  10000 (98.81%), best:    9883/10000 (98.83%), error:       396.19684, best error:       372.42743 on epoch:    42, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 699.8510131836s, input_fired_time: 9.7388620377, output_fired_time: 9.2591876984, propagate_forward_time: 263.3872070313, propagate_backward_time: 408.4277648926, weight_update_time: 0.7330377102, other_time: 9.0379333496
epoch time: 55.7547225952s, input_fired_time: 1.2243053913, output_fired_time: 0.0000000000, propagate_forward_time: 52.8367805481, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6936378479
validation[          , genome 13338] predictions:    9876/  10000 (98.76%), best:    9883/10000 (98.83%), error:       394.28284, best error:       372.42743 on epoch:    42, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 699.6071166992s, input_fired_time: 9.7397308350, output_fired_time: 9.2420167923, propagate_forward_time: 263.2643737793, propagate_backward_time: 408.3683776855, weight_update_time: 0.7320446968, other_time: 8.9926147461
epoch time: 55.6695098877s, input_fired_time: 1.1975491047, output_fired_time: 0.0000000000, propagate_forward_time: 52.8607406616, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6112213135
validation[          , genome 13338] predictions:    9880/  10000 (98.80%), best:    9880/10000 (98.80%), error:       361.93112, best error:       361.93112 on epoch:    51, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 700.3891601563s, input_fired_time: 9.7368450165, output_fired_time: 9.2399120331, propagate_forward_time: 263.7493591309, propagate_backward_time: 408.6442260742, weight_update_time: 0.7355851531, other_time: 9.0188293457
epoch time: 55.4833602905s, input_fired_time: 1.1880353689, output_fired_time: 0.0000000000, propagate_forward_time: 52.6915817261, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6037445068
validation[          , genome 13338] predictions:    9887/  10000 (98.87%), best:    9880/10000 (98.80%), error:       366.17004, best error:       361.93112 on epoch:    51, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 697.4140014648s, input_fired_time: 9.9112319946, output_fired_time: 9.2071514130, propagate_forward_time: 262.4894104004, propagate_backward_time: 406.3738098145, weight_update_time: 0.7491444945, other_time: 9.4323730469
epoch time: 55.2944717407s, input_fired_time: 1.2137554884, output_fired_time: 0.0000000000, propagate_forward_time: 52.3883552551, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6923599243
validation[          , genome 13338] predictions:    9870/  10000 (98.70%), best:    9880/10000 (98.80%), error:       392.15271, best error:       361.93112 on epoch:    51, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 697.1937255859s, input_fired_time: 9.8492956161, output_fired_time: 9.2075433731, propagate_forward_time: 262.3798522949, propagate_backward_time: 406.4701232910, weight_update_time: 0.7419921756, other_time: 9.2869262695
epoch time: 55.5629997253s, input_fired_time: 1.1949377060, output_fired_time: 0.0000000000, propagate_forward_time: 52.7638473511, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6042137146
validation[          , genome 13338] predictions:    9889/  10000 (98.89%), best:    9880/10000 (98.80%), error:       370.27170, best error:       361.93112 on epoch:    51, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 699.7273559570s, input_fired_time: 9.7618951797, output_fired_time: 9.2383337021, propagate_forward_time: 263.4777832031, propagate_backward_time: 408.1887207031, weight_update_time: 0.7350084782, other_time: 9.0606079102
epoch time: 55.1785659790s, input_fired_time: 1.1883873940, output_fired_time: 0.0000000000, propagate_forward_time: 52.3863105774, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6038665771
validation[          , genome 13338] predictions:    9886/  10000 (98.86%), best:    9880/10000 (98.80%), error:       366.66776, best error:       361.93112 on epoch:    51, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 694.5809936523s, input_fired_time: 9.6998348236, output_fired_time: 9.1737556458, propagate_forward_time: 261.5749816895, propagate_backward_time: 405.1703491211, weight_update_time: 0.7266019583, other_time: 8.9620666504
epoch time: 55.0317001343s, input_fired_time: 1.1879478693, output_fired_time: 0.0000000000, propagate_forward_time: 52.2466850281, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5970687866
validation[          , genome 13338] predictions:    9889/  10000 (98.89%), best:    9880/10000 (98.80%), error:       366.91800, best error:       361.93112 on epoch:    51, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 699.6682739258s, input_fired_time: 9.8007173538, output_fired_time: 9.2434368134, propagate_forward_time: 263.1899108887, propagate_backward_time: 408.3254699707, weight_update_time: 0.7367510796, other_time: 9.1087646484
epoch time: 55.4833869934s, input_fired_time: 1.2149453163, output_fired_time: 0.0000000000, propagate_forward_time: 52.5840606689, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6843795776
validation[          , genome 13338] predictions:    9881/  10000 (98.81%), best:    9880/10000 (98.80%), error:       396.76868, best error:       361.93112 on epoch:    51, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 695.9373779297s, input_fired_time: 9.6981716156, output_fired_time: 9.1935729980, propagate_forward_time: 262.1857910156, propagate_backward_time: 405.8919067383, weight_update_time: 0.7286722064, other_time: 8.9679565430
epoch time: 55.4255104065s, input_fired_time: 1.1930023432, output_fired_time: 0.0000000000, propagate_forward_time: 52.6217346191, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6107749939
validation[          , genome 13338] predictions:    9852/  10000 (98.52%), best:    9880/10000 (98.80%), error:       425.73358, best error:       361.93112 on epoch:    51, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 697.6215820313s, input_fired_time: 9.9291572571, output_fired_time: 9.2259454727, propagate_forward_time: 262.5769653320, propagate_backward_time: 406.4674377441, weight_update_time: 0.7504916787, other_time: 9.4220886230
epoch time: 55.8917617798s, input_fired_time: 1.2223035097, output_fired_time: 0.0000000000, propagate_forward_time: 52.9729728699, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6964836121
validation[          , genome 13338] predictions:    9715/  10000 (97.15%), best:    9880/10000 (98.80%), error:       823.35193, best error:       361.93112 on epoch:    51, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 697.0333251953s, input_fired_time: 9.7931222916, output_fired_time: 9.2133913040, propagate_forward_time: 262.5120849609, propagate_backward_time: 406.3864440918, weight_update_time: 0.7358981967, other_time: 9.1282653809
epoch time: 55.2588653564s, input_fired_time: 1.2135963440, output_fired_time: 0.0000000000, propagate_forward_time: 52.3580589294, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6872100830
validation[          , genome 13338] predictions:    9892/  10000 (98.92%), best:    9892/10000 (98.92%), error:       349.49875, best error:       349.49875 on epoch:    60, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 698.4178466797s, input_fired_time: 9.7719488144, output_fired_time: 9.2407541275, propagate_forward_time: 262.6278991699, propagate_backward_time: 407.6924133301, weight_update_time: 0.7334817052, other_time: 9.0847778320
epoch time: 55.7108917236s, input_fired_time: 1.2209597826, output_fired_time: 0.0000000000, propagate_forward_time: 52.7994232178, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6905097961
validation[          , genome 13338] predictions:    9890/  10000 (98.90%), best:    9892/10000 (98.92%), error:       352.25867, best error:       349.49875 on epoch:    60, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 699.2830810547s, input_fired_time: 9.9500703812, output_fired_time: 9.2597599030, propagate_forward_time: 262.9216003418, propagate_backward_time: 407.7409973145, weight_update_time: 0.7493383288, other_time: 9.4106445313
epoch time: 55.4905891418s, input_fired_time: 1.2186419964, output_fired_time: 0.0000000000, propagate_forward_time: 52.5871543884, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6847915649
validation[          , genome 13338] predictions:    9883/  10000 (98.83%), best:    9892/10000 (98.92%), error:       372.35852, best error:       349.49875 on epoch:    60, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 696.7080688477s, input_fired_time: 9.7109775543, output_fired_time: 9.1813802719, propagate_forward_time: 262.4458923340, propagate_backward_time: 406.3788146973, weight_update_time: 0.7315160632, other_time: 8.9909667969
epoch time: 55.0481452942s, input_fired_time: 1.1868469715, output_fired_time: 0.0000000000, propagate_forward_time: 52.2569427490, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6043548584
validation[          , genome 13338] predictions:    9894/  10000 (98.94%), best:    9894/10000 (98.94%), error:       346.88199, best error:       346.88199 on epoch:    63, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 699.2022094727s, input_fired_time: 9.9479703903, output_fired_time: 9.2458143234, propagate_forward_time: 263.0317077637, propagate_backward_time: 407.5597534180, weight_update_time: 0.7474465966, other_time: 9.4169616699
epoch time: 55.5575180054s, input_fired_time: 1.2169998884, output_fired_time: 0.0000000000, propagate_forward_time: 52.6449737549, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6955451965
validation[          , genome 13338] predictions:    9869/  10000 (98.69%), best:    9894/10000 (98.94%), error:       409.41940, best error:       346.88199 on epoch:    63, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 694.3102416992s, input_fired_time: 9.6888294220, output_fired_time: 9.1724138260, propagate_forward_time: 261.3848876953, propagate_backward_time: 405.1125793457, weight_update_time: 0.7303074002, other_time: 8.9515075684
epoch time: 54.9742584229s, input_fired_time: 1.1889245510, output_fired_time: 0.0000000000, propagate_forward_time: 52.1712455750, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6140899658
validation[          , genome 13338] predictions:    9895/  10000 (98.95%), best:    9894/10000 (98.94%), error:       355.32654, best error:       346.88199 on epoch:    63, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 694.1694946289s, input_fired_time: 9.7044105530, output_fired_time: 9.1725263596, propagate_forward_time: 261.2839660645, propagate_backward_time: 405.0095214844, weight_update_time: 0.7303037643, other_time: 8.9990539551
epoch time: 55.0658607483s, input_fired_time: 1.1912705898, output_fired_time: 0.0000000000, propagate_forward_time: 52.2698059082, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6047859192
validation[          , genome 13338] predictions:    9901/  10000 (99.01%), best:    9901/10000 (99.01%), error:       334.82535, best error:       334.82535 on epoch:    66, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 697.2908325195s, input_fired_time: 9.7633123398, output_fired_time: 9.2011766434, propagate_forward_time: 262.5266723633, propagate_backward_time: 406.7700500488, weight_update_time: 0.7298790812, other_time: 9.0296325684
epoch time: 55.6479339600s, input_fired_time: 1.2180181742, output_fired_time: 0.0000000000, propagate_forward_time: 52.7495002747, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6804161072
validation[          , genome 13338] predictions:    9873/  10000 (98.73%), best:    9901/10000 (99.01%), error:       397.73172, best error:       334.82535 on epoch:    66, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 696.1043701172s, input_fired_time: 9.7649154663, output_fired_time: 9.1850147247, propagate_forward_time: 262.1822814941, propagate_backward_time: 405.8990783691, weight_update_time: 0.7322989702, other_time: 9.0731201172
epoch time: 55.3173370361s, input_fired_time: 1.1953725815, output_fired_time: 0.0000000000, propagate_forward_time: 52.5156745911, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6062889099
validation[          , genome 13338] predictions:    9903/  10000 (99.03%), best:    9903/10000 (99.03%), error:       327.01376, best error:       327.01376 on epoch:    68, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 697.5816650391s, input_fired_time: 9.9248199463, output_fired_time: 9.2041664124, propagate_forward_time: 262.6980895996, propagate_backward_time: 406.3687744141, weight_update_time: 0.7448201180, other_time: 9.3858337402
epoch time: 55.5336380005s, input_fired_time: 1.2188172340, output_fired_time: 0.0000000000, propagate_forward_time: 52.6212158203, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6936035156
validation[          , genome 13338] predictions:    9871/  10000 (98.71%), best:    9903/10000 (99.03%), error:       445.66446, best error:       327.01376 on epoch:    68, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 696.4447631836s, input_fired_time: 9.9185800552, output_fired_time: 9.3178339005, propagate_forward_time: 262.0574951172, propagate_backward_time: 405.7752075195, weight_update_time: 0.7454801798, other_time: 9.3756713867
epoch time: 56.7998085022s, input_fired_time: 1.2073482275, output_fired_time: 0.0000000000, propagate_forward_time: 53.9560089111, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6364517212
validation[          , genome 13338] predictions:    9897/  10000 (98.97%), best:    9903/10000 (99.03%), error:       357.36252, best error:       327.01376 on epoch:    68, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 696.2588500977s, input_fired_time: 9.9214811325, output_fired_time: 9.1834135056, propagate_forward_time: 261.9635314941, propagate_backward_time: 405.7757263184, weight_update_time: 0.7462582588, other_time: 9.4146728516
epoch time: 55.3255577087s, input_fired_time: 1.2211976051, output_fired_time: 0.0000000000, propagate_forward_time: 52.4186325073, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6857261658
validation[          , genome 13338] predictions:    9900/  10000 (99.00%), best:    9903/10000 (99.03%), error:       349.73297, best error:       327.01376 on epoch:    68, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 695.0183715820s, input_fired_time: 9.7237892151, output_fired_time: 9.1567182541, propagate_forward_time: 261.6398620605, propagate_backward_time: 405.5028686523, weight_update_time: 0.7385081053, other_time: 8.9950866699
epoch time: 55.3204612732s, input_fired_time: 1.2006561756, output_fired_time: 0.0000000000, propagate_forward_time: 52.5072479248, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6125564575
validation[          , genome 13338] predictions:    9895/  10000 (98.95%), best:    9903/10000 (99.03%), error:       352.15509, best error:       327.01376 on epoch:    68, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 696.7614746094s, input_fired_time: 9.7407636642, output_fired_time: 9.2043170929, propagate_forward_time: 262.2214965820, propagate_backward_time: 406.5982666016, weight_update_time: 0.7301347852, other_time: 8.9965820313
epoch time: 55.5401077271s, input_fired_time: 1.2040200233, output_fired_time: 0.0000000000, propagate_forward_time: 52.7251853943, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6109008789
validation[          , genome 13338] predictions:    9889/  10000 (98.89%), best:    9903/10000 (99.03%), error:       368.43219, best error:       327.01376 on epoch:    68, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 699.1186523438s, input_fired_time: 9.9743442535, output_fired_time: 9.2352037430, propagate_forward_time: 262.9400939941, propagate_backward_time: 407.5566101074, weight_update_time: 0.7482781410, other_time: 9.4123535156
epoch time: 55.5511054993s, input_fired_time: 1.2194147110, output_fired_time: 0.0000000000, propagate_forward_time: 52.6378707886, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6938209534
validation[          , genome 13338] predictions:    9895/  10000 (98.95%), best:    9903/10000 (99.03%), error:       346.17401, best error:       327.01376 on epoch:    68, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 696.6990356445s, input_fired_time: 9.7553205490, output_fired_time: 9.1950712204, propagate_forward_time: 262.3673706055, propagate_backward_time: 406.3781127930, weight_update_time: 0.7317879796, other_time: 9.0031738281
epoch time: 55.3760108948s, input_fired_time: 1.1987196207, output_fired_time: 0.0000000000, propagate_forward_time: 52.5657730103, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6115188599
validation[          , genome 13338] predictions:    9894/  10000 (98.94%), best:    9903/10000 (99.03%), error:       352.91174, best error:       327.01376 on epoch:    68, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 697.4663085938s, input_fired_time: 9.7993869781, output_fired_time: 9.2010002136, propagate_forward_time: 262.3482666016, propagate_backward_time: 407.0331115723, weight_update_time: 0.7370125055, other_time: 9.0845642090
epoch time: 55.3864097595s, input_fired_time: 1.2004467249, output_fired_time: 0.0000000000, propagate_forward_time: 52.5805244446, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6054382324
validation[          , genome 13338] predictions:    9894/  10000 (98.94%), best:    9903/10000 (99.03%), error:       359.22375, best error:       327.01376 on epoch:    68, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 696.4538574219s, input_fired_time: 9.8996238708, output_fired_time: 9.1969938278, propagate_forward_time: 262.0556335449, propagate_backward_time: 405.9965515137, weight_update_time: 0.7400326729, other_time: 9.3050537109
epoch time: 55.0756072998s, input_fired_time: 1.2168619633, output_fired_time: 0.0000000000, propagate_forward_time: 52.1719284058, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6868171692
validation[          , genome 13338] predictions:    9895/  10000 (98.95%), best:    9903/10000 (99.03%), error:       331.26819, best error:       327.01376 on epoch:    68, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 701.1290893555s, input_fired_time: 9.9722728729, output_fired_time: 9.2253351212, propagate_forward_time: 262.7088623047, propagate_backward_time: 409.7802734375, weight_update_time: 0.7524071336, other_time: 9.4423217773
epoch time: 55.3751678467s, input_fired_time: 1.2248877287, output_fired_time: 0.0000000000, propagate_forward_time: 52.4473762512, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7029037476
validation[          , genome 13338] predictions:    9905/  10000 (99.05%), best:    9903/10000 (99.03%), error:       340.23016, best error:       327.01376 on epoch:    68, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 698.8962402344s, input_fired_time: 9.8009004593, output_fired_time: 9.2304344177, propagate_forward_time: 263.2077331543, propagate_backward_time: 407.6263427734, weight_update_time: 0.7327627540, other_time: 9.0308532715
epoch time: 55.8154640198s, input_fired_time: 1.2074589729, output_fired_time: 0.0000000000, propagate_forward_time: 52.9951820374, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6128234863
validation[          , genome 13338] predictions:    9903/  10000 (99.03%), best:    9903/10000 (99.03%), error:       337.93774, best error:       327.01376 on epoch:    68, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 699.5687866211s, input_fired_time: 9.8228969574, output_fired_time: 9.2416133881, propagate_forward_time: 263.1569519043, propagate_backward_time: 408.2532653809, weight_update_time: 0.7351602316, other_time: 9.0940551758
epoch time: 55.2498817444s, input_fired_time: 1.2020124197, output_fired_time: 0.0000000000, propagate_forward_time: 52.4393806458, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6084899902
validation[          , genome 13338] predictions:    9899/  10000 (98.99%), best:    9903/10000 (99.03%), error:       353.20724, best error:       327.01376 on epoch:    68, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 694.8176879883s, input_fired_time: 9.7349424362, output_fired_time: 9.1772480011, propagate_forward_time: 261.5011291504, propagate_backward_time: 405.4346313477, weight_update_time: 0.7306441069, other_time: 8.9697570801
epoch time: 55.3788642883s, input_fired_time: 1.2019243240, output_fired_time: 0.0000000000, propagate_forward_time: 52.5695533752, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6073875427
validation[          , genome 13338] predictions:    9899/  10000 (98.99%), best:    9903/10000 (99.03%), error:       361.40646, best error:       327.01376 on epoch:    68, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 699.7494506836s, input_fired_time: 9.8013210297, output_fired_time: 9.2361507416, propagate_forward_time: 263.1800231934, propagate_backward_time: 408.5316772461, weight_update_time: 0.7335000634, other_time: 9.0002746582
epoch time: 55.2517356873s, input_fired_time: 1.2009922266, output_fired_time: 0.0000000000, propagate_forward_time: 52.4495468140, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6011962891
validation[          , genome 13338] predictions:    9908/  10000 (99.08%), best:    9903/10000 (99.03%), error:       347.18085, best error:       327.01376 on epoch:    68, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 696.7572021484s, input_fired_time: 9.7821025848, output_fired_time: 9.2052087784, propagate_forward_time: 262.2861938477, propagate_backward_time: 406.4472961426, weight_update_time: 0.7322484851, other_time: 9.0364074707
epoch time: 55.1925735474s, input_fired_time: 1.1979421377, output_fired_time: 0.0000000000, propagate_forward_time: 52.3951568604, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5994758606
validation[          , genome 13338] predictions:    9903/  10000 (99.03%), best:    9903/10000 (99.03%), error:       333.84900, best error:       327.01376 on epoch:    68, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 695.7059326172s, input_fired_time: 9.7430295944, output_fired_time: 9.1819772720, propagate_forward_time: 261.9638671875, propagate_backward_time: 405.8421325684, weight_update_time: 0.7280082703, other_time: 8.9748840332
epoch time: 55.2819023132s, input_fired_time: 1.2009639740, output_fired_time: 0.0000000000, propagate_forward_time: 52.4742927551, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6066474915
validation[          , genome 13338] predictions:    9896/  10000 (98.96%), best:    9903/10000 (99.03%), error:       337.05338, best error:       327.01376 on epoch:    68, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 695.5461425781s, input_fired_time: 9.8045530319, output_fired_time: 9.2032775879, propagate_forward_time: 261.6445007324, propagate_backward_time: 405.7728881836, weight_update_time: 0.7377240658, other_time: 9.1209411621
epoch time: 55.2273521423s, input_fired_time: 1.2038064003, output_fired_time: 0.0000000000, propagate_forward_time: 52.4031639099, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6203804016
validation[          , genome 13338] predictions:    9903/  10000 (99.03%), best:    9903/10000 (99.03%), error:       325.92538, best error:       325.92538 on epoch:    85, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 698.0572509766s, input_fired_time: 9.8529777527, output_fired_time: 9.2125005722, propagate_forward_time: 262.7313232422, propagate_backward_time: 407.1138000488, weight_update_time: 0.7378500700, other_time: 9.1466369629
epoch time: 55.3300399780s, input_fired_time: 1.2086033821, output_fired_time: 0.0000000000, propagate_forward_time: 52.5112266541, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6102104187
validation[          , genome 13338] predictions:    9904/  10000 (99.04%), best:    9903/10000 (99.03%), error:       335.06873, best error:       325.92538 on epoch:    85, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 700.4677734375s, input_fired_time: 9.8249588013, output_fired_time: 9.2386732101, propagate_forward_time: 263.8104858398, propagate_backward_time: 408.5977783203, weight_update_time: 0.7351000309, other_time: 8.9959106445
epoch time: 55.5065536499s, input_fired_time: 1.2138867378, output_fired_time: 0.0000000000, propagate_forward_time: 52.6779708862, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6146965027
validation[          , genome 13338] predictions:    9896/  10000 (98.96%), best:    9903/10000 (99.03%), error:       337.63623, best error:       325.92538 on epoch:    85, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

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_1508499903_23_13338.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1508499903_23_13338_2_r1722726305_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: 0.984631
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000136958
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 5.47831e-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: 88
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 85
read number_validation_images: 10000
read best_validation_predictions: 9903
read best_validation_error: 325.925
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: 13338
read normal distribution: '0 -0.286329925060272 -0.907527387142181'
generator_str: '1844117388'
read generator: 1844117388
read generated_by_map:
1 split_edge 1
reading 78 nodes.
reading 256 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_1508499903_23_13338.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1508499903_23_13338_2_r1722726305_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: 0.984631
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000136958
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 5.47831e-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: 88
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 85
read number_validation_images: 10000
read best_validation_predictions: 9903
read best_validation_error: 325.925
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: 13338
read normal distribution: '0 -0.286329925060272 -0.907527387142181'
generator_str: '1844117388'
read generator: 1844117388
read generated_by_map:
1 split_edge 1
reading 78 nodes.
reading 256 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: 699.640380859375s, input_fired_time: 9.80294132232666, output_fired_time: 9.22542572021484, propagate_forward_time: 263.558349609375, propagate_backward_time: 408.054656982422, weight_update_time: 0.727456152439117, other_time: 8.99905395507813
epoch time: 55.1922912597656s, input_fired_time: 1.20394468307495, output_fired_time: 0, propagate_forward_time: 52.3767700195313, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.61157608032227
validation[          , genome 13338] predictions:    9909/  10000 (99.09%), best:    9903/10000 (99.03%), error:       342.29382, best error:       325.92538 on epoch:    85, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 699.2269897461s, input_fired_time: 9.9768619537, output_fired_time: 9.2513055801, propagate_forward_time: 262.8688964844, propagate_backward_time: 407.7071228027, weight_update_time: 0.7485929132, other_time: 9.4228210449
epoch time: 55.3703002930s, input_fired_time: 1.2255154848, output_fired_time: 0.0000000000, propagate_forward_time: 52.4616622925, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6831207275
validation[          , genome 13338] predictions:    9898/  10000 (98.98%), best:    9903/10000 (99.03%), error:       363.02612, best error:       325.92538 on epoch:    85, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 697.8229370117s, input_fired_time: 9.8089818954, output_fired_time: 9.2195672989, propagate_forward_time: 262.8226623535, propagate_backward_time: 406.8766479492, weight_update_time: 0.7304707170, other_time: 9.0951232910
epoch time: 55.6856498718s, input_fired_time: 1.2380511761, output_fired_time: 0.0000000000, propagate_forward_time: 52.7552947998, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6923027039
validation[          , genome 13338] predictions:    9908/  10000 (99.08%), best:    9903/10000 (99.03%), error:       336.40555, best error:       325.92538 on epoch:    85, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 697.1206054688s, input_fired_time: 9.8605108261, output_fired_time: 9.2141571045, propagate_forward_time: 262.4430236816, propagate_backward_time: 406.4448242188, weight_update_time: 0.7324153781, other_time: 9.1580505371
epoch time: 55.4066505432s, input_fired_time: 1.2076299191, output_fired_time: 0.0000000000, propagate_forward_time: 52.5882110596, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6108093262
validation[          , genome 13338] predictions:    9901/  10000 (99.01%), best:    9903/10000 (99.03%), error:       341.63037, best error:       325.92538 on epoch:    85, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 697.8631591797s, input_fired_time: 9.7839431763, output_fired_time: 9.2154598236, propagate_forward_time: 262.7205505371, propagate_backward_time: 407.1449584961, weight_update_time: 0.7307334542, other_time: 8.9982604980
epoch time: 55.2941360474s, input_fired_time: 1.2000260353, output_fired_time: 0.0000000000, propagate_forward_time: 52.4914588928, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6026496887
validation[          , genome 13338] predictions:    9902/  10000 (99.02%), best:    9903/10000 (99.03%), error:       329.17310, best error:       325.92538 on epoch:    85, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 700.4704589844s, input_fired_time: 9.8080034256, output_fired_time: 9.2581863403, propagate_forward_time: 263.6386718750, propagate_backward_time: 408.7532653809, weight_update_time: 0.7326478958, other_time: 9.0123596191
epoch time: 55.1149063110s, input_fired_time: 1.1999659538, output_fired_time: 0.0000000000, propagate_forward_time: 52.3143196106, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6006202698
validation[          , genome 13338] predictions:    9907/  10000 (99.07%), best:    9903/10000 (99.03%), error:       327.37766, best error:       325.92538 on epoch:    85, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 695.2769165039s, input_fired_time: 9.7855253220, output_fired_time: 9.1791248322, propagate_forward_time: 261.7949218750, propagate_backward_time: 405.5127868652, weight_update_time: 0.7288796306, other_time: 9.0045471191
epoch time: 55.5142364502s, input_fired_time: 1.2019977570, output_fired_time: 0.0000000000, propagate_forward_time: 52.7055549622, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6066856384
validation[          , genome 13338] predictions:    9894/  10000 (98.94%), best:    9903/10000 (99.03%), error:       359.48380, best error:       325.92538 on epoch:    85, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 695.8448486328s, input_fired_time: 9.7636404037, output_fired_time: 9.1976938248, propagate_forward_time: 261.9993591309, propagate_backward_time: 405.9028625488, weight_update_time: 0.7288509607, other_time: 8.9813232422
epoch time: 55.4131736755s, input_fired_time: 1.2095531225, output_fired_time: 0.0000000000, propagate_forward_time: 52.5966033936, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6070175171
validation[          , genome 13338] predictions:    9904/  10000 (99.04%), best:    9903/10000 (99.03%), error:       336.63394, best error:       325.92538 on epoch:    85, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 697.4487915039s, input_fired_time: 9.7966232300, output_fired_time: 9.2033729553, propagate_forward_time: 262.6122741699, propagate_backward_time: 406.8203735352, weight_update_time: 0.7266936302, other_time: 9.0161437988
epoch time: 55.5912132263s, input_fired_time: 1.2140140533, output_fired_time: 0.0000000000, propagate_forward_time: 52.7629852295, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6142120361
validation[          , genome 13338] predictions:    9901/  10000 (99.01%), best:    9903/10000 (99.03%), error:       335.58530, best error:       325.92538 on epoch:    85, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 697.0464477539s, input_fired_time: 9.9372177124, output_fired_time: 9.2133836746, propagate_forward_time: 262.3135986328, propagate_backward_time: 406.2939453125, weight_update_time: 0.7371664643, other_time: 9.2883300781
epoch time: 56.7548179626s, input_fired_time: 1.2611567974, output_fired_time: 0.0000000000, propagate_forward_time: 53.7810363770, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7126235962
validation[          , genome 13338] predictions:    9907/  10000 (99.07%), best:    9903/10000 (99.03%), error:       340.01001, best error:       325.92538 on epoch:    85, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 701.3411865234s, input_fired_time: 9.7952146530, output_fired_time: 9.2758169174, propagate_forward_time: 263.9031982422, propagate_backward_time: 409.3966369629, weight_update_time: 0.7296075821, other_time: 8.9703063965
epoch time: 55.5158576965s, input_fired_time: 1.2039971352, output_fired_time: 0.0000000000, propagate_forward_time: 52.6942176819, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6176414490
validation[          , genome 13338] predictions:    9900/  10000 (99.00%), best:    9903/10000 (99.03%), error:       347.95444, best error:       325.92538 on epoch:    85, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 698.5267333984s, input_fired_time: 9.8472423553, output_fired_time: 9.2301273346, propagate_forward_time: 262.9832458496, propagate_backward_time: 407.4249572754, weight_update_time: 0.7336648703, other_time: 9.0411987305
epoch time: 55.1382179260s, input_fired_time: 1.2086449862, output_fired_time: 0.0000000000, propagate_forward_time: 52.3143806458, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6151924133
validation[          , genome 13338] predictions:    9899/  10000 (98.99%), best:    9903/10000 (99.03%), error:       339.91815, best error:       325.92538 on epoch:    85, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 697.8229370117s, input_fired_time: 9.9090566635, output_fired_time: 9.2121257782, propagate_forward_time: 262.6060485840, propagate_backward_time: 406.8609619141, weight_update_time: 0.7368958592, other_time: 9.2347717285
epoch time: 55.0115547180s, input_fired_time: 1.2320166826, output_fired_time: 0.0000000000, propagate_forward_time: 52.0800971985, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6994400024
validation[          , genome 13338] predictions:    9899/  10000 (98.99%), best:    9903/10000 (99.03%), error:       353.88098, best error:       325.92538 on epoch:    85, 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: 277.5395507813s, input_fired_time: 6.1319122314, output_fired_time: 0.0000000000, propagate_forward_time: 262.9321899414, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.4754638672
best training[          , genome 13338] predictions:   49999/  50000 (100.00%), best:    9903/10000 (99.03%), error:       153.56807, best error:       325.92538 on epoch:    85, 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: 55.4834709167s, input_fired_time: 1.2183605433, output_fired_time: 0.0000000000, propagate_forward_time: 52.5754737854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6896362305
   testing[          , genome 13338] predictions:    9920/  10000 (99.20%), best:    9903/10000 (99.03%), error:       272.60211, best error:       325.92538 on epoch:    85, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
16:59:46 (3724): called boinc_finish(0)

</stderr_txt>
]]>