Nameexact_genome_1512568488_43_4475_1
Workunit2593661
Created7 Dec 2017, 10:09:20 UTC
Sent7 Dec 2017, 10:12:25 UTC
Report deadline12 Dec 2017, 3:08:08 UTC
Received7 Dec 2017, 23:52:35 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time3 hours 46 min 22 sec
CPU time2 hours 29 min 30 sec
Validate stateValid
Credit1,176.34
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size153.54 MB
Peak swap size156.48 MB
Peak disk usage1.52 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
0, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 247.6812133789s, input_fired_time: 2.8921003342, output_fired_time: 2.0636897087, propagate_forward_time: 92.4969253540, propagate_backward_time: 143.6123657227, weight_update_time: 0.2433117479, other_time: 6.6161193848
epoch time: 20.6341342926s, input_fired_time: 0.4173891842, output_fired_time: 0.0000000000, propagate_forward_time: 19.1076335907, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1091117859
validation[          , genome  4475] predictions:    9576/  10000 (95.76%), best:    9623/10000 (96.23%), error:      1440.09155, best error:      1263.20435 on epoch:    22, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 209.4185943604s, input_fired_time: 1.3275086880, output_fired_time: 1.3883757591, propagate_forward_time: 78.3802185059, propagate_backward_time: 122.7484207153, weight_update_time: 0.1815325320, other_time: 5.5740585327
epoch time: 14.9447813034s, input_fired_time: 0.1991517544, output_fired_time: 0.0000000000, propagate_forward_time: 13.4803895950, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2652397156
validation[          , genome  4475] predictions:    9545/  10000 (95.45%), best:    9623/10000 (96.23%), error:      1530.53162, best error:      1263.20435 on epoch:    22, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 131.5448913574s, input_fired_time: 1.2216582298, output_fired_time: 1.1828355789, propagate_forward_time: 49.5857353210, propagate_backward_time: 76.1116180420, weight_update_time: 0.1329697520, other_time: 3.4430389404
epoch time: 9.6705503464s, input_fired_time: 0.1467746049, output_fired_time: 0.0000000000, propagate_forward_time: 8.6956882477, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8280878067
validation[          , genome  4475] predictions:    9663/  10000 (96.63%), best:    9663/10000 (96.63%), error:      1201.20959, best error:      1201.20959 on epoch:    29, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 106.5192565918s, input_fired_time: 0.8621164560, output_fired_time: 0.9472422600, propagate_forward_time: 40.1572799683, propagate_backward_time: 61.1192359924, weight_update_time: 0.1794944257, other_time: 3.4333839417
epoch time: 8.6815834045s, input_fired_time: 0.1022680327, output_fired_time: 0.0000000000, propagate_forward_time: 7.9129176140, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6663975716
validation[          , genome  4475] predictions:    9604/  10000 (96.04%), best:    9663/10000 (96.63%), error:      1356.42639, best error:      1201.20959 on epoch:    29, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 108.4965591431s, input_fired_time: 1.0429489613, output_fired_time: 1.0810552835, propagate_forward_time: 40.8006210327, propagate_backward_time: 62.4510154724, weight_update_time: 0.2259786576, other_time: 3.1209220886
epoch time: 8.9714889526s, input_fired_time: 0.1487376243, output_fired_time: 0.0000000000, propagate_forward_time: 8.2864437103, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5363073349
validation[          , genome  4475] predictions:    9617/  10000 (96.17%), best:    9663/10000 (96.63%), error:      1270.55432, best error:      1201.20959 on epoch:    29, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 103.9036483765s, input_fired_time: 1.0799154043, output_fired_time: 0.8246730566, propagate_forward_time: 38.7770652771, propagate_backward_time: 60.1926231384, weight_update_time: 0.1159653440, other_time: 3.0293655396
epoch time: 8.0784273148s, input_fired_time: 0.1947570741, output_fired_time: 0.0000000000, propagate_forward_time: 7.3466854095, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5369849205
validation[          , genome  4475] predictions:    9627/  10000 (96.27%), best:    9663/10000 (96.63%), error:      1288.00439, best error:      1201.20959 on epoch:    29, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 106.0341644287s, input_fired_time: 0.9252957702, output_fired_time: 0.8416686058, propagate_forward_time: 40.0353584290, propagate_backward_time: 61.2446670532, weight_update_time: 0.1312227547, other_time: 2.9871749878
epoch time: 7.9253187180s, input_fired_time: 0.1806143969, output_fired_time: 0.0000000000, propagate_forward_time: 7.1933140755, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5513901711
validation[          , genome  4475] predictions:    9642/  10000 (96.42%), best:    9663/10000 (96.63%), error:      1212.16992, best error:      1201.20959 on epoch:    29, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 108.7452392578s, input_fired_time: 1.2057906389, output_fired_time: 0.9015374184, propagate_forward_time: 40.3331108093, propagate_backward_time: 63.0362548828, weight_update_time: 0.1625156850, other_time: 3.2685546875
epoch time: 8.5264310837s, input_fired_time: 0.1034164503, output_fired_time: 0.0000000000, propagate_forward_time: 7.7251982689, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6978163719
validation[          , genome  4475] predictions:    9629/  10000 (96.29%), best:    9663/10000 (96.63%), error:      1249.43689, best error:      1201.20959 on epoch:    29, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 104.2714080811s, input_fired_time: 0.9352766871, output_fired_time: 0.8470469713, propagate_forward_time: 39.1892051697, propagate_backward_time: 60.2747802734, weight_update_time: 0.1151118949, other_time: 3.0250968933
epoch time: 8.7847776413s, input_fired_time: 0.1935974360, output_fired_time: 0.0000000000, propagate_forward_time: 8.0807113647, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5104684830
validation[          , genome  4475] predictions:    9589/  10000 (95.89%), best:    9663/10000 (96.63%), error:      1364.50562, best error:      1201.20959 on epoch:    29, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 105.4503936768s, input_fired_time: 1.1710718870, output_fired_time: 0.7707317472, propagate_forward_time: 39.5252342224, propagate_backward_time: 60.8105354309, weight_update_time: 0.2245905697, other_time: 3.1728210449
epoch time: 7.7888927460s, input_fired_time: 0.1019680053, output_fired_time: 0.0000000000, propagate_forward_time: 7.1833505630, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5035743713
validation[          , genome  4475] predictions:    9584/  10000 (95.84%), best:    9663/10000 (96.63%), error:      1376.90833, best error:      1201.20959 on epoch:    29, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 103.3000259399s, input_fired_time: 0.9787107110, output_fired_time: 0.9064132571, propagate_forward_time: 38.5927696228, propagate_backward_time: 59.7590560913, weight_update_time: 0.1610610485, other_time: 3.0630760193
epoch time: 7.1915659904s, input_fired_time: 0.0996951759, output_fired_time: 0.0000000000, propagate_forward_time: 6.6110539436, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4808168411
validation[          , genome  4475] predictions:    9625/  10000 (96.25%), best:    9663/10000 (96.63%), error:      1248.11450, best error:      1201.20959 on epoch:    29, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 98.5756149292s, input_fired_time: 1.0221483707, output_fired_time: 0.7600214481, propagate_forward_time: 37.0348663330, propagate_backward_time: 56.6724739075, weight_update_time: 0.1600518227, other_time: 3.0861015320
epoch time: 7.5507764816s, input_fired_time: 0.1011677161, output_fired_time: 0.0000000000, propagate_forward_time: 6.9196753502, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5299334526
validation[          , genome  4475] predictions:    9666/  10000 (96.66%), best:    9666/10000 (96.66%), error:      1149.44250, best error:      1149.44250 on epoch:    38, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 100.2695236206s, input_fired_time: 0.9564708471, output_fired_time: 0.9590860605, propagate_forward_time: 37.4477310181, propagate_backward_time: 58.0304298401, weight_update_time: 0.1612867564, other_time: 2.8758049011
epoch time: 8.5058345795s, input_fired_time: 0.1635930687, output_fired_time: 0.0000000000, propagate_forward_time: 7.8920598030, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4501814842
validation[          , genome  4475] predictions:    9519/  10000 (95.19%), best:    9666/10000 (96.66%), error:      1568.05872, best error:      1149.44250 on epoch:    38, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 103.3862838745s, input_fired_time: 1.1510740519, output_fired_time: 0.8093588352, propagate_forward_time: 38.8661804199, propagate_backward_time: 59.3223037720, weight_update_time: 0.1132246330, other_time: 3.2373657227
epoch time: 7.6711878777s, input_fired_time: 0.1040759459, output_fired_time: 0.0000000000, propagate_forward_time: 7.0903477669, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4767642021
validation[          , genome  4475] predictions:    9564/  10000 (95.64%), best:    9666/10000 (96.66%), error:      1420.22559, best error:      1149.44250 on epoch:    38, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 101.1896438599s, input_fired_time: 1.0938861370, output_fired_time: 1.0142393112, propagate_forward_time: 37.7340583801, propagate_backward_time: 58.0499153137, weight_update_time: 0.1115411893, other_time: 3.2975463867
epoch time: 11.2508459091s, input_fired_time: 0.1769683361, output_fired_time: 0.0000000000, propagate_forward_time: 10.6343002319, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4395771027
validation[          , genome  4475] predictions:    9656/  10000 (96.56%), best:    9666/10000 (96.66%), error:      1171.07605, best error:      1149.44250 on epoch:    38, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 93.0490646362s, input_fired_time: 0.9334903955, output_fired_time: 0.7411620021, propagate_forward_time: 34.7667160034, propagate_backward_time: 53.6931304932, weight_update_time: 0.1419533193, other_time: 2.9145660400
epoch time: 6.6099205017s, input_fired_time: 0.1394865662, output_fired_time: 0.0000000000, propagate_forward_time: 5.9799551964, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4904785156
validation[          , genome  4475] predictions:    9601/  10000 (96.01%), best:    9666/10000 (96.66%), error:      1382.65955, best error:      1149.44250 on epoch:    38, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 88.4593582153s, input_fired_time: 0.8936942220, output_fired_time: 0.7027505636, propagate_forward_time: 32.9366226196, propagate_backward_time: 51.0839195251, weight_update_time: 0.1121535078, other_time: 2.8423728943
epoch time: 7.8768038750s, input_fired_time: 0.1015235707, output_fired_time: 0.0000000000, propagate_forward_time: 7.2906560898, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4846243858
validation[          , genome  4475] predictions:    9575/  10000 (95.75%), best:    9666/10000 (96.66%), error:      1405.35925, best error:      1149.44250 on epoch:    38, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 93.5975646973s, input_fired_time: 0.7736109495, output_fired_time: 0.8482985497, propagate_forward_time: 34.8291282654, propagate_backward_time: 54.3203620911, weight_update_time: 0.1255671978, other_time: 2.8261642456
epoch time: 6.5151119232s, input_fired_time: 0.0935571715, output_fired_time: 0.0000000000, propagate_forward_time: 5.9747815132, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4467730522
validation[          , genome  4475] predictions:    9593/  10000 (95.93%), best:    9666/10000 (96.66%), error:      1355.71313, best error:      1149.44250 on epoch:    38, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 87.6661300659s, input_fired_time: 0.8146210909, output_fired_time: 0.6797389984, propagate_forward_time: 33.0075263977, propagate_backward_time: 50.4446220398, weight_update_time: 0.1083395332, other_time: 2.7196197510
epoch time: 7.0255856514s, input_fired_time: 0.0973117650, output_fired_time: 0.0000000000, propagate_forward_time: 6.4487719536, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4795017242
validation[          , genome  4475] predictions:    9608/  10000 (96.08%), best:    9666/10000 (96.66%), error:      1364.60181, best error:      1149.44250 on epoch:    38, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 88.4788360596s, input_fired_time: 0.8466575742, output_fired_time: 0.6678784490, propagate_forward_time: 33.0628128052, propagate_backward_time: 51.0614051819, weight_update_time: 0.1243885905, other_time: 2.8400840759
epoch time: 6.8028078079s, input_fired_time: 0.0931450054, output_fired_time: 0.0000000000, propagate_forward_time: 6.2200598717, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4896030426
validation[          , genome  4475] predictions:    9635/  10000 (96.35%), best:    9666/10000 (96.66%), error:      1274.84973, best error:      1149.44250 on epoch:    38, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 91.6170883179s, input_fired_time: 0.9499223232, output_fired_time: 0.7687692046, propagate_forward_time: 34.1518707275, propagate_backward_time: 52.8609046936, weight_update_time: 0.1075623408, other_time: 2.8856239319
epoch time: 7.2865562439s, input_fired_time: 0.1126101166, output_fired_time: 0.0000000000, propagate_forward_time: 6.7450828552, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4288630486
validation[          , genome  4475] predictions:    9621/  10000 (96.21%), best:    9666/10000 (96.66%), error:      1206.47559, best error:      1149.44250 on epoch:    38, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 91.8598556519s, input_fired_time: 1.0918281078, output_fired_time: 0.6993244886, propagate_forward_time: 33.7311134338, propagate_backward_time: 53.2543373108, weight_update_time: 0.1577304453, other_time: 3.0832519531
epoch time: 7.6402535439s, input_fired_time: 0.2481279969, output_fired_time: 0.0000000000, propagate_forward_time: 6.9867510796, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4053745270
validation[          , genome  4475] predictions:    9624/  10000 (96.24%), best:    9666/10000 (96.66%), error:      1246.32776, best error:      1149.44250 on epoch:    38, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 92.3666763306s, input_fired_time: 0.8216469288, output_fired_time: 0.7998715043, propagate_forward_time: 35.3621902466, propagate_backward_time: 52.5882186890, weight_update_time: 0.1091029271, other_time: 2.7947463989
epoch time: 7.2870836258s, input_fired_time: 0.1009209305, output_fired_time: 0.0000000000, propagate_forward_time: 6.6643133163, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5218491554
validation[          , genome  4475] predictions:    9570/  10000 (95.70%), best:    9666/10000 (96.66%), error:      1493.19434, best error:      1149.44250 on epoch:    38, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 85.5648651123s, input_fired_time: 0.7874974608, output_fired_time: 0.6921148300, propagate_forward_time: 31.8906612396, propagate_backward_time: 49.5585098267, weight_update_time: 0.1122661605, other_time: 2.6360778809
epoch time: 7.9254512787s, input_fired_time: 0.0977449119, output_fired_time: 0.0000000000, propagate_forward_time: 7.2255396843, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6021666527
validation[          , genome  4475] predictions:    9657/  10000 (96.57%), best:    9657/10000 (96.57%), error:      1133.87939, best error:      1133.87939 on epoch:    50, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 93.1090927124s, input_fired_time: 0.8434032798, output_fired_time: 0.7577598095, propagate_forward_time: 34.8014678955, propagate_backward_time: 53.9956855774, weight_update_time: 0.1077916995, other_time: 2.7107734680
epoch time: 6.2290191650s, input_fired_time: 0.0957721472, output_fired_time: 0.0000000000, propagate_forward_time: 5.7086405754, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4246063232
validation[          , genome  4475] predictions:    9645/  10000 (96.45%), best:    9657/10000 (96.57%), error:      1182.40649, best error:      1133.87939 on epoch:    50, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 95.9221649170s, input_fired_time: 1.0636477470, output_fired_time: 0.8035637736, propagate_forward_time: 35.7144660950, propagate_backward_time: 55.1544227600, weight_update_time: 0.1080809906, other_time: 3.1860656738
epoch time: 8.1695308685s, input_fired_time: 0.0945592150, output_fired_time: 0.0000000000, propagate_forward_time: 7.6553368568, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4196343422
validation[          , genome  4475] predictions:    9599/  10000 (95.99%), best:    9657/10000 (96.57%), error:      1305.64124, best error:      1133.87939 on epoch:    50, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 87.1693878174s, input_fired_time: 0.9792968035, output_fired_time: 0.6963762641, propagate_forward_time: 32.7952041626, propagate_backward_time: 49.8994750977, weight_update_time: 0.1236568615, other_time: 2.7990417480
epoch time: 6.1611976624s, input_fired_time: 0.0892680660, output_fired_time: 0.0000000000, propagate_forward_time: 5.6469979286, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4249315262
validation[          , genome  4475] predictions:    9671/  10000 (96.71%), best:    9671/10000 (96.71%), error:      1116.33752, best error:      1116.33752 on epoch:    53, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 89.3711624146s, input_fired_time: 0.9002431035, output_fired_time: 0.7986729145, propagate_forward_time: 33.6189727783, propagate_backward_time: 51.4590225220, weight_update_time: 0.1067651287, other_time: 2.5942459106
epoch time: 7.8054513931s, input_fired_time: 0.1094294786, output_fired_time: 0.0000000000, propagate_forward_time: 7.1615624428, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5344595909
validation[          , genome  4475] predictions:    9620/  10000 (96.20%), best:    9671/10000 (96.71%), error:      1228.41602, best error:      1116.33752 on epoch:    53, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 91.4083938599s, input_fired_time: 0.9899322391, output_fired_time: 0.8645981550, propagate_forward_time: 34.4341888428, propagate_backward_time: 52.3252220154, weight_update_time: 0.2499620914, other_time: 2.7944526672
epoch time: 6.0059952736s, input_fired_time: 0.0916780680, output_fired_time: 0.0000000000, propagate_forward_time: 5.5101594925, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4041576385
validation[          , genome  4475] predictions:    9624/  10000 (96.24%), best:    9671/10000 (96.71%), error:      1272.12671, best error:      1116.33752 on epoch:    53, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 91.1770401001s, input_fired_time: 0.7858970165, output_fired_time: 0.7122587562, propagate_forward_time: 34.6284217834, propagate_backward_time: 52.3117980957, weight_update_time: 0.1083815247, other_time: 2.7386665344
epoch time: 6.9565877914s, input_fired_time: 0.1240995899, output_fired_time: 0.0000000000, propagate_forward_time: 6.2534017563, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5790863037
validation[          , genome  4475] predictions:    9643/  10000 (96.43%), best:    9671/10000 (96.71%), error:      1194.77771, best error:      1116.33752 on epoch:    53, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 88.8624038696s, input_fired_time: 0.9589529634, output_fired_time: 0.7765528560, propagate_forward_time: 32.7921104431, propagate_backward_time: 51.6845245361, weight_update_time: 0.1209546030, other_time: 2.6502647400
epoch time: 7.0153865814s, input_fired_time: 0.0940476730, output_fired_time: 0.0000000000, propagate_forward_time: 6.5087461472, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4125928879
validation[          , genome  4475] predictions:    9586/  10000 (95.86%), best:    9671/10000 (96.71%), error:      1353.05493, best error:      1116.33752 on epoch:    53, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 172.8236694336s, input_fired_time: 1.7095450163, output_fired_time: 0.9599677920, propagate_forward_time: 61.7246932983, propagate_backward_time: 102.2553787231, weight_update_time: 0.1150488779, other_time: 6.1740875244
epoch time: 17.7251529694s, input_fired_time: 0.1644240767, output_fired_time: 0.0000000000, propagate_forward_time: 16.2962455750, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2644824982
validation[          , genome  4475] predictions:    9652/  10000 (96.52%), best:    9671/10000 (96.71%), error:      1214.12744, best error:      1116.33752 on epoch:    53, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_4475.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_4475_1_r685389254_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: 0.966238
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000606181
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.42472e-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: 59
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 53
read number_validation_images: 10000
read best_validation_predictions: 9671
read best_validation_error: 1116.34
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: 4475
read normal distribution: '1 -0.772157907485962 -0.258816331624985'
generator_str: '652518164'
read generator: 652518164
read generated_by_map:
1 change_size_x 1
reading 16 nodes.
reading 26 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: 185.042495727539s, input_fired_time: 1.65305733680725, output_fired_time: 1.50330877304077, propagate_forward_time: 68.9576950073242, propagate_backward_time: 106.143218994141, weight_update_time: 0.477204382419586, other_time: 6.78520965576172
epoch time: 15.2813482284546s, input_fired_time: 0.230916738510132, output_fired_time: 0, propagate_forward_time: 13.3661460876465, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.68428516387939
validation[          , genome  4475] predictions:    9634/  10000 (96.34%), best:    9671/10000 (96.71%), error:      1268.22803, best error:      1116.33752 on epoch:    53, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 188.1256408691s, input_fired_time: 1.7770538330, output_fired_time: 1.4541312456, propagate_forward_time: 71.4238204956, propagate_backward_time: 108.5614776611, weight_update_time: 0.2723043561, other_time: 4.9091567993
epoch time: 16.1845779419s, input_fired_time: 0.1063842177, output_fired_time: 0.0000000000, propagate_forward_time: 14.7540664673, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3241271973
validation[          , genome  4475] predictions:    9581/  10000 (95.81%), best:    9671/10000 (96.71%), error:      1375.59912, best error:      1116.33752 on epoch:    53, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 190.3945312500s, input_fired_time: 1.2904578447, output_fired_time: 2.3282003403, propagate_forward_time: 72.8000183105, propagate_backward_time: 109.0256118774, weight_update_time: 0.2288307846, other_time: 4.9502487183
epoch time: 14.4467649460s, input_fired_time: 0.1376870573, output_fired_time: 0.0000000000, propagate_forward_time: 13.7888679504, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5202102661
validation[          , genome  4475] predictions:    9684/  10000 (96.84%), best:    9671/10000 (96.71%), error:      1133.82642, best error:      1116.33752 on epoch:    53, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 168.4532928467s, input_fired_time: 1.5452926159, output_fired_time: 1.4375216961, propagate_forward_time: 62.4925346375, propagate_backward_time: 97.8550415039, weight_update_time: 0.1807882488, other_time: 5.1229095459
epoch time: 12.9108972549s, input_fired_time: 0.1506178975, output_fired_time: 0.0000000000, propagate_forward_time: 12.1556959152, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6045837402
validation[          , genome  4475] predictions:    9655/  10000 (96.55%), best:    9671/10000 (96.71%), error:      1222.89392, best error:      1116.33752 on epoch:    53, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 158.5277557373s, input_fired_time: 1.0409500599, output_fired_time: 2.0295548439, propagate_forward_time: 61.1440467834, propagate_backward_time: 90.0177764893, weight_update_time: 0.1179746464, other_time: 4.2954254150
epoch time: 13.1163921356s, input_fired_time: 0.1060591117, output_fired_time: 0.0000000000, propagate_forward_time: 12.4544258118, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5559072495
validation[          , genome  4475] predictions:    9643/  10000 (96.43%), best:    9671/10000 (96.71%), error:      1168.36047, best error:      1116.33752 on epoch:    53, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 140.9401092529s, input_fired_time: 1.0744564533, output_fired_time: 0.8290790319, propagate_forward_time: 54.9458808899, propagate_backward_time: 80.2827987671, weight_update_time: 0.1335802674, other_time: 3.8078842163
epoch time: 10.9499454498s, input_fired_time: 0.1212494299, output_fired_time: 0.0000000000, propagate_forward_time: 10.3336954117, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4950008392
validation[          , genome  4475] predictions:    9593/  10000 (95.93%), best:    9671/10000 (96.71%), error:      1344.43213, best error:      1116.33752 on epoch:    53, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 139.8467559814s, input_fired_time: 1.9790940285, output_fired_time: 1.2498849630, propagate_forward_time: 53.8684196472, propagate_backward_time: 79.1159286499, weight_update_time: 0.1496445835, other_time: 3.6334304810
epoch time: 11.3721027374s, input_fired_time: 0.3717295229, output_fired_time: 0.0000000000, propagate_forward_time: 9.8504076004, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1499652863
validation[          , genome  4475] predictions:    9617/  10000 (96.17%), best:    9671/10000 (96.71%), error:      1331.39001, best error:      1116.33752 on epoch:    53, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 143.3279876709s, input_fired_time: 0.9968681931, output_fired_time: 0.9371984005, propagate_forward_time: 56.2659492493, propagate_backward_time: 80.5356445313, weight_update_time: 0.1180038005, other_time: 4.5923309326
epoch time: 10.8356418610s, input_fired_time: 0.1062234640, output_fired_time: 0.0000000000, propagate_forward_time: 9.5941925049, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1352262497
validation[          , genome  4475] predictions:    9645/  10000 (96.45%), best:    9671/10000 (96.71%), error:      1161.17273, best error:      1116.33752 on epoch:    53, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 134.5515136719s, input_fired_time: 1.3260668516, output_fired_time: 1.3568038940, propagate_forward_time: 50.0115890503, propagate_backward_time: 77.5357894897, weight_update_time: 0.3987447619, other_time: 4.3212738037
epoch time: 10.4897212982s, input_fired_time: 0.1540473849, output_fired_time: 0.0000000000, propagate_forward_time: 9.8730134964, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4626607895
validation[          , genome  4475] predictions:    9641/  10000 (96.41%), best:    9671/10000 (96.71%), error:      1206.35413, best error:      1116.33752 on epoch:    53, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_4475.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_4475_1_r685389254_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: 0.975024
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000382045
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.52818e-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: 68
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 53
read number_validation_images: 10000
read best_validation_predictions: 9671
read best_validation_error: 1116.34
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: 4475
read normal distribution: '1 -0.772157907485962 -0.258816331624985'
generator_str: '271481144'
read generator: 271481144
read generated_by_map:
1 change_size_x 1
reading 16 nodes.
reading 26 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: 85.7115097045898s, input_fired_time: 0.771573305130005, output_fired_time: 0.850990056991577, propagate_forward_time: 31.7012901306152, propagate_backward_time: 49.6563415527344, weight_update_time: 0.105345293879509, other_time: 2.7313117980957
epoch time: 6.5484824180603s, input_fired_time: 0.106505371630192, output_fired_time: 0, propagate_forward_time: 5.99774932861328, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.444227695465088
validation[          , genome  4475] predictions:    9573/  10000 (95.73%), best:    9671/10000 (96.71%), error:      1506.86743, best error:      1116.33752 on epoch:    53, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 85.0391616821s, input_fired_time: 0.8027935028, output_fired_time: 0.7847996354, propagate_forward_time: 31.6819190979, propagate_backward_time: 49.0963859558, weight_update_time: 0.1367721856, other_time: 2.6732635498
epoch time: 6.8977599144s, input_fired_time: 0.1306763738, output_fired_time: 0.0000000000, propagate_forward_time: 6.2931175232, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4739661217
validation[          , genome  4475] predictions:    9622/  10000 (96.22%), best:    9671/10000 (96.71%), error:      1287.92139, best error:      1116.33752 on epoch:    53, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 84.2268524170s, input_fired_time: 0.7912770510, output_fired_time: 0.7600876093, propagate_forward_time: 31.4944610596, propagate_backward_time: 48.3755950928, weight_update_time: 0.1215586439, other_time: 2.8054351807
epoch time: 7.2327566147s, input_fired_time: 0.0994427130, output_fired_time: 0.0000000000, propagate_forward_time: 6.5960454941, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5372686386
validation[          , genome  4475] predictions:    9678/  10000 (96.78%), best:    9671/10000 (96.71%), error:      1156.17346, best error:      1116.33752 on epoch:    53, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 86.0297698975s, input_fired_time: 0.8699250221, output_fired_time: 0.6688495278, propagate_forward_time: 31.9241504669, propagate_backward_time: 49.7840423584, weight_update_time: 0.1073876843, other_time: 2.7828063965
epoch time: 7.2373342514s, input_fired_time: 0.0914768353, output_fired_time: 0.0000000000, propagate_forward_time: 6.7223653793, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4234919548
validation[          , genome  4475] predictions:    9632/  10000 (96.32%), best:    9671/10000 (96.71%), error:      1278.65686, best error:      1116.33752 on epoch:    53, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 83.9636154175s, input_fired_time: 0.8172120452, output_fired_time: 0.6847864985, propagate_forward_time: 31.2799396515, propagate_backward_time: 48.4859886169, weight_update_time: 0.1065956205, other_time: 2.6956901550
epoch time: 7.5841255188s, input_fired_time: 0.1161383167, output_fired_time: 0.0000000000, propagate_forward_time: 6.9558458328, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5121412277
validation[          , genome  4475] predictions:    9646/  10000 (96.46%), best:    9671/10000 (96.71%), error:      1175.83960, best error:      1116.33752 on epoch:    53, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 83.7532043457s, input_fired_time: 0.8803448677, output_fired_time: 0.7069767714, propagate_forward_time: 30.9985675812, propagate_backward_time: 48.5540313721, weight_update_time: 0.1201937348, other_time: 2.6132812500
epoch time: 6.5941948891s, input_fired_time: 0.0935617387, output_fired_time: 0.0000000000, propagate_forward_time: 6.0847454071, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4158878326
validation[          , genome  4475] predictions:    9594/  10000 (95.94%), best:    9671/10000 (96.71%), error:      1375.00684, best error:      1116.33752 on epoch:    53, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 87.2460861206s, input_fired_time: 0.8069303036, output_fired_time: 0.7208236456, propagate_forward_time: 32.7007446289, propagate_backward_time: 50.2939033508, weight_update_time: 0.1405200213, other_time: 2.7236824036
epoch time: 6.8250870705s, input_fired_time: 0.0977254286, output_fired_time: 0.0000000000, propagate_forward_time: 6.2753710747, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4519906044
validation[          , genome  4475] predictions:    9647/  10000 (96.47%), best:    9671/10000 (96.71%), error:      1224.97571, best error:      1116.33752 on epoch:    53, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 86.3591537476s, input_fired_time: 0.8204914927, output_fired_time: 0.8215035200, propagate_forward_time: 32.4713439941, propagate_backward_time: 49.6681213379, weight_update_time: 0.1084203944, other_time: 2.5776977539
epoch time: 6.4411220551s, input_fired_time: 0.1870614886, output_fired_time: 0.0000000000, propagate_forward_time: 5.7931036949, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4609570503
validation[          , genome  4475] predictions:    9651/  10000 (96.51%), best:    9671/10000 (96.71%), error:      1275.24072, best error:      1116.33752 on epoch:    53, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 85.5194168091s, input_fired_time: 0.8813043833, output_fired_time: 0.8100675344, propagate_forward_time: 32.0245513916, propagate_backward_time: 49.0942611694, weight_update_time: 0.1089211181, other_time: 2.7092361450
epoch time: 7.0981254578s, input_fired_time: 0.1316173673, output_fired_time: 0.0000000000, propagate_forward_time: 6.4378657341, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5286421776
validation[          , genome  4475] predictions:    9662/  10000 (96.62%), best:    9671/10000 (96.71%), error:      1139.99402, best error:      1116.33752 on epoch:    53, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 83.9634246826s, input_fired_time: 0.8118308783, output_fired_time: 0.6892552376, propagate_forward_time: 31.4778671265, propagate_backward_time: 48.1686668396, weight_update_time: 0.1408589482, other_time: 2.8158073425
epoch time: 7.0163831711s, input_fired_time: 0.0947024748, output_fired_time: 0.0000000000, propagate_forward_time: 6.4550681114, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4666128159
validation[          , genome  4475] predictions:    9650/  10000 (96.50%), best:    9671/10000 (96.71%), error:      1163.38586, best error:      1116.33752 on epoch:    53, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 84.3624877930s, input_fired_time: 0.8182119131, output_fired_time: 0.6809433699, propagate_forward_time: 31.5912418365, propagate_backward_time: 48.7604141235, weight_update_time: 0.1082125008, other_time: 2.5116729736
epoch time: 7.3771772385s, input_fired_time: 0.0965012088, output_fired_time: 0.0000000000, propagate_forward_time: 6.8386397362, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4420361519
validation[          , genome  4475] predictions:    9628/  10000 (96.28%), best:    9671/10000 (96.71%), error:      1314.87671, best error:      1116.33752 on epoch:    53, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 83.7413177490s, input_fired_time: 0.7889696956, output_fired_time: 0.7268002033, propagate_forward_time: 31.4568271637, propagate_backward_time: 48.1802139282, weight_update_time: 0.1086062714, other_time: 2.5885086060
epoch time: 6.9289727211s, input_fired_time: 0.0984985456, output_fired_time: 0.0000000000, propagate_forward_time: 6.3177065849, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5127677917
validation[          , genome  4475] predictions:    9671/  10000 (96.71%), best:    9671/10000 (96.71%), error:      1122.83093, best error:      1116.33752 on epoch:    53, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 80.4564590454s, input_fired_time: 0.7815027833, output_fired_time: 0.7465039492, propagate_forward_time: 29.8589153290, propagate_backward_time: 46.5875320435, weight_update_time: 0.1074214429, other_time: 2.4820022583
epoch time: 6.5012283325s, input_fired_time: 0.1126218364, output_fired_time: 0.0000000000, propagate_forward_time: 5.9141511917, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4744553566
validation[          , genome  4475] predictions:    9649/  10000 (96.49%), best:    9671/10000 (96.71%), error:      1215.21936, best error:      1116.33752 on epoch:    53, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 79.8988037109s, input_fired_time: 0.7855712175, output_fired_time: 0.7184174657, propagate_forward_time: 29.7568149567, propagate_backward_time: 46.1181297302, weight_update_time: 0.1198055744, other_time: 2.5198783875
epoch time: 6.1733183861s, input_fired_time: 0.0958719030, output_fired_time: 0.0000000000, propagate_forward_time: 5.6539239883, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4235224724
validation[          , genome  4475] predictions:    9658/  10000 (96.58%), best:    9671/10000 (96.71%), error:      1208.74426, best error:      1116.33752 on epoch:    53, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 77.1786575317s, input_fired_time: 0.7744579315, output_fired_time: 0.6543846130, propagate_forward_time: 28.4865932465, propagate_backward_time: 44.8032875061, weight_update_time: 0.1021903157, other_time: 2.4599342346
epoch time: 6.2122964859s, input_fired_time: 0.0954592451, output_fired_time: 0.0000000000, propagate_forward_time: 5.6203842163, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4964528084
validation[          , genome  4475] predictions:    9625/  10000 (96.25%), best:    9671/10000 (96.71%), error:      1285.95581, best error:      1116.33752 on epoch:    53, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 79.9065856934s, input_fired_time: 0.7510522604, output_fired_time: 0.6820077300, propagate_forward_time: 29.6917819977, propagate_backward_time: 46.1811828613, weight_update_time: 0.1504810750, other_time: 2.6005630493
epoch time: 6.3203926086s, input_fired_time: 0.0953942463, output_fired_time: 0.0000000000, propagate_forward_time: 5.7711048126, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4538936615
validation[          , genome  4475] predictions:    9631/  10000 (96.31%), best:    9671/10000 (96.71%), error:      1276.09192, best error:      1116.33752 on epoch:    53, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 78.5343933105s, input_fired_time: 0.8577919006, output_fired_time: 0.7219295502, propagate_forward_time: 29.3171100616, propagate_backward_time: 45.1669464111, weight_update_time: 0.1026864424, other_time: 2.4706192017
epoch time: 6.6575646400s, input_fired_time: 0.1390313506, output_fired_time: 0.0000000000, propagate_forward_time: 6.1140313148, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4045019150
validation[          , genome  4475] predictions:    9646/  10000 (96.46%), best:    9671/10000 (96.71%), error:      1222.16760, best error:      1116.33752 on epoch:    53, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 74.3215789795s, input_fired_time: 0.7501590848, output_fired_time: 0.6472125053, propagate_forward_time: 27.7625370026, propagate_backward_time: 42.8037757874, weight_update_time: 0.1034770161, other_time: 2.3578987122
epoch time: 5.9253463745s, input_fired_time: 0.1246418133, output_fired_time: 0.0000000000, propagate_forward_time: 5.3761091232, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4245953560
validation[          , genome  4475] predictions:    9655/  10000 (96.55%), best:    9671/10000 (96.71%), error:      1174.66821, best error:      1116.33752 on epoch:    53, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 107.1786270142s, input_fired_time: 0.8017240167, output_fired_time: 0.9517021179, propagate_forward_time: 40.5064163208, propagate_backward_time: 61.6481437683, weight_update_time: 0.1130535081, other_time: 3.2706413269
epoch time: 9.9497852325s, input_fired_time: 0.1545186192, output_fired_time: 0.0000000000, propagate_forward_time: 9.3194246292, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4758415222
validation[          , genome  4475] predictions:    9655/  10000 (96.55%), best:    9671/10000 (96.71%), error:      1150.81519, best error:      1116.33752 on epoch:    53, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 121.9854431152s, input_fired_time: 1.1543546915, output_fired_time: 1.2945420742, propagate_forward_time: 45.4809684753, propagate_backward_time: 71.1965484619, weight_update_time: 0.1340239048, other_time: 2.8590240479
epoch time: 10.4885683060s, input_fired_time: 0.3577975035, output_fired_time: 0.0000000000, propagate_forward_time: 9.6540622711, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4767084122
validation[          , genome  4475] predictions:    9643/  10000 (96.43%), best:    9671/10000 (96.71%), error:      1184.39587, best error:      1116.33752 on epoch:    53, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 121.0399475098s, input_fired_time: 1.0771124363, output_fired_time: 0.7633990049, propagate_forward_time: 45.2529220581, propagate_backward_time: 70.4748458862, weight_update_time: 0.1180522144, other_time: 3.4716720581
epoch time: 9.3994855881s, input_fired_time: 0.1074341834, output_fired_time: 0.0000000000, propagate_forward_time: 8.8168125153, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4752388000
validation[          , genome  4475] predictions:    9663/  10000 (96.63%), best:    9671/10000 (96.71%), error:      1141.01624, best error:      1116.33752 on epoch:    53, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 120.4409637451s, input_fired_time: 0.8451648355, output_fired_time: 0.7486896515, propagate_forward_time: 45.0776710510, propagate_backward_time: 70.5328063965, weight_update_time: 0.1182765588, other_time: 3.2366333008
epoch time: 10.1083688736s, input_fired_time: 0.1075426713, output_fired_time: 0.0000000000, propagate_forward_time: 8.9776382446, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0231876373
validation[          , genome  4475] predictions:    9634/  10000 (96.34%), best:    9671/10000 (96.71%), error:      1249.70898, best error:      1116.33752 on epoch:    53, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 122.5123138428s, input_fired_time: 1.3607256413, output_fired_time: 1.0297979116, propagate_forward_time: 47.1121940613, propagate_backward_time: 69.5251159668, weight_update_time: 0.1338230669, other_time: 3.4844818115
epoch time: 9.9506921768s, input_fired_time: 0.1234544441, output_fired_time: 0.0000000000, propagate_forward_time: 9.2890892029, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5381488800
validation[          , genome  4475] predictions:    9661/  10000 (96.61%), best:    9671/10000 (96.71%), error:      1155.48120, best error:      1116.33752 on epoch:    53, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 126.0341339111s, input_fired_time: 0.9396587610, output_fired_time: 0.8128197789, propagate_forward_time: 47.8018989563, propagate_backward_time: 72.2801361084, weight_update_time: 0.1651732624, other_time: 4.1996154785
epoch time: 10.9273672104s, input_fired_time: 0.4046106339, output_fired_time: 0.0000000000, propagate_forward_time: 9.7347612381, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7879953384
validation[          , genome  4475] predictions:    9613/  10000 (96.13%), best:    9671/10000 (96.71%), error:      1330.18225, best error:      1116.33752 on epoch:    53, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 126.6650466919s, input_fired_time: 1.4563931227, output_fired_time: 0.8738884926, propagate_forward_time: 47.7660255432, propagate_backward_time: 72.3814010620, weight_update_time: 0.3680483401, other_time: 4.1873397827
epoch time: 10.1580896378s, input_fired_time: 0.1243151054, output_fired_time: 0.0000000000, propagate_forward_time: 9.5579547882, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4758195877
validation[          , genome  4475] predictions:    9580/  10000 (95.80%), best:    9671/10000 (96.71%), error:      1403.77930, best error:      1116.33752 on epoch:    53, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 132.0391235352s, input_fired_time: 1.2067123652, output_fired_time: 1.0992150307, propagate_forward_time: 52.0616683960, propagate_backward_time: 74.3776168823, weight_update_time: 0.1340112537, other_time: 3.2939147949
epoch time: 9.7078132629s, input_fired_time: 0.1079512984, output_fired_time: 0.0000000000, propagate_forward_time: 8.7798452377, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8200168610
validation[          , genome  4475] predictions:    9658/  10000 (96.58%), best:    9671/10000 (96.71%), error:      1144.69836, best error:      1116.33752 on epoch:    53, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 124.8005142212s, input_fired_time: 1.6421136856, output_fired_time: 0.7619485855, propagate_forward_time: 46.1278495789, propagate_backward_time: 71.2974090576, weight_update_time: 0.6498135328, other_time: 4.9711914063
epoch time: 10.2190933228s, input_fired_time: 0.1238164455, output_fired_time: 0.0000000000, propagate_forward_time: 9.3055458069, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7897310257
validation[          , genome  4475] predictions:    9674/  10000 (96.74%), best:    9671/10000 (96.71%), error:      1153.55615, best error:      1116.33752 on epoch:    53, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 129.0459136963s, input_fired_time: 0.8941381574, output_fired_time: 1.5772986412, propagate_forward_time: 48.4476356506, propagate_backward_time: 75.0651550293, weight_update_time: 0.1182514280, other_time: 3.0616912842
epoch time: 11.3469638824s, input_fired_time: 0.1394726634, output_fired_time: 0.0000000000, propagate_forward_time: 10.6527709961, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5547199249
validation[          , genome  4475] predictions:    9622/  10000 (96.22%), best:    9671/10000 (96.71%), error:      1293.71948, best error:      1116.33752 on epoch:    53, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 129.9972839355s, input_fired_time: 1.2860605717, output_fired_time: 0.7493872643, propagate_forward_time: 47.7637748718, propagate_backward_time: 76.7598571777, weight_update_time: 0.1186169982, other_time: 3.4382019043
epoch time: 10.5225496292s, input_fired_time: 0.1083040908, output_fired_time: 0.0000000000, propagate_forward_time: 9.6574192047, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7568264008
validation[          , genome  4475] predictions:    9636/  10000 (96.36%), best:    9671/10000 (96.71%), error:      1240.80786, best error:      1116.33752 on epoch:    53, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 129.3118591309s, input_fired_time: 1.7229773998, output_fired_time: 2.1852128506, propagate_forward_time: 47.2846107483, propagate_backward_time: 73.6167526245, weight_update_time: 0.3682008088, other_time: 4.5023117065
epoch time: 10.0996322632s, input_fired_time: 0.1239767075, output_fired_time: 0.0000000000, propagate_forward_time: 9.0001544952, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9755010605
validation[          , genome  4475] predictions:    9670/  10000 (96.70%), best:    9671/10000 (96.71%), error:      1135.19299, best error:      1116.33752 on epoch:    53, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 124.1890563965s, input_fired_time: 0.8493208885, output_fired_time: 1.0621650219, propagate_forward_time: 47.1333656311, propagate_backward_time: 71.6142959595, weight_update_time: 0.1500241458, other_time: 3.5299148560
epoch time: 10.2337255478s, input_fired_time: 0.1087024137, output_fired_time: 0.0000000000, propagate_forward_time: 9.6480617523, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4769611359
validation[          , genome  4475] predictions:    9660/  10000 (96.60%), best:    9671/10000 (96.71%), error:      1226.00464, best error:      1116.33752 on epoch:    53, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 123.9722442627s, input_fired_time: 1.5828090906, output_fired_time: 0.8277028203, propagate_forward_time: 45.0997200012, propagate_backward_time: 72.8392486572, weight_update_time: 0.1495663375, other_time: 3.6227569580
epoch time: 10.0391263962s, input_fired_time: 0.1081489399, output_fired_time: 0.0000000000, propagate_forward_time: 9.3772392273, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5537385941
validation[          , genome  4475] predictions:    9564/  10000 (95.64%), best:    9671/10000 (96.71%), error:      1460.13123, best error:      1116.33752 on epoch:    53, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 122.1705093384s, input_fired_time: 1.3966276646, output_fired_time: 1.3589446545, propagate_forward_time: 45.6717834473, propagate_backward_time: 70.4616088867, weight_update_time: 0.1181950942, other_time: 3.2815399170
epoch time: 10.0620422363s, input_fired_time: 0.1084970981, output_fired_time: 0.0000000000, propagate_forward_time: 9.4779014587, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4756441116
validation[          , genome  4475] predictions:    9635/  10000 (96.35%), best:    9671/10000 (96.71%), error:      1222.44482, best error:      1116.33752 on epoch:    53, 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: 53.7523880005s, input_fired_time: 0.8545271754, output_fired_time: 0.0000000000, propagate_forward_time: 49.7153968811, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1824645996
best training[          , genome  4475] predictions:   48971/  50000 (97.94%), best:    9671/10000 (96.71%), error:      3761.28857, best error:      1116.33752 on epoch:    53, 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: 11.1623630524s, input_fired_time: 0.1047819406, output_fired_time: 0.0000000000, propagate_forward_time: 9.9385719299, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1190090179
   testing[          , genome  4475] predictions:    9711/  10000 (97.11%), best:    9671/10000 (96.71%), error:      1014.90582, best error:      1116.33752 on epoch:    53, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
00:35:01 (10264): called boinc_finish(0)

</stderr_txt>
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