Nameexact_genome_1542127803_174_5809_1
Workunit4086754
Created13 Nov 2018, 18:15:46 UTC
Sent13 Nov 2018, 18:37:32 UTC
Report deadline28 Dec 2018, 0:47:58 UTC
Received14 Nov 2018, 21:04:56 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID60920
Run time19 hours 0 min 3 sec
CPU time18 hours 56 min 22 sec
Validate stateValid
Credit11,064.31
Device peak FLOPS3.88 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size519.48 MB
Peak swap size517.76 MB
Peak disk usage9.26 MB

Stderr output

<core_client_version>7.12.1</core_client_version>
<![CDATA[
<stderr_txt>
000, weight_update_time: 0.0000000000, other_time: 2.1116790771
validation[          , genome  5809] predictions:    5284/  10000 (52.84%), best:    5284/10000 (52.84%), error:     14269.16406, best error:     14269.16406 on epoch:     5, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1202.4512939453s, input_fired_time: 9.7258672714, output_fired_time: 9.2095146179, propagate_forward_time: 453.9094848633, propagate_backward_time: 717.3643188477, weight_update_time: 1.1480464935, other_time: 12.2421875000
epoch time: 93.9422683716s, input_fired_time: 1.2119706869, output_fired_time: 0.0000000000, propagate_forward_time: 90.5992355347, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1310653687
validation[          , genome  5809] predictions:    5316/  10000 (53.16%), best:    5284/10000 (52.84%), error:     15034.24902, best error:     14269.16406 on epoch:     5, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1203.5394287109s, input_fired_time: 9.7347745895, output_fired_time: 9.2271680832, propagate_forward_time: 454.6482238770, propagate_backward_time: 717.7144775391, weight_update_time: 1.1478682756, other_time: 12.2148437500
epoch time: 94.1031341553s, input_fired_time: 1.2134596109, output_fired_time: 0.0000000000, propagate_forward_time: 90.7693023682, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1203689575
validation[          , genome  5809] predictions:    5280/  10000 (52.80%), best:    5284/10000 (52.84%), error:     14898.40332, best error:     14269.16406 on epoch:     5, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1202.2619628906s, input_fired_time: 9.7418842316, output_fired_time: 9.1451244354, propagate_forward_time: 453.9904479980, propagate_backward_time: 717.1865844727, weight_update_time: 1.1491678953, other_time: 12.1978149414
epoch time: 94.5447463989s, input_fired_time: 1.2106902599, output_fired_time: 0.0000000000, propagate_forward_time: 91.1916656494, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1423873901
validation[          , genome  5809] predictions:    5208/  10000 (52.08%), best:    5284/10000 (52.84%), error:     14847.75000, best error:     14269.16406 on epoch:     5, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1203.3455810547s, input_fired_time: 9.7227516174, output_fired_time: 9.1917619705, propagate_forward_time: 453.7610778809, propagate_backward_time: 718.4968872070, weight_update_time: 1.1429746151, other_time: 12.1730346680
epoch time: 94.3088531494s, input_fired_time: 1.1949807405, output_fired_time: 0.0000000000, propagate_forward_time: 90.9767913818, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1370773315
validation[          , genome  5809] predictions:    5081/  10000 (50.81%), best:    5284/10000 (52.84%), error:     15413.84863, best error:     14269.16406 on epoch:     5, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1203.3394775391s, input_fired_time: 9.7555999756, output_fired_time: 9.2028789520, propagate_forward_time: 454.0161437988, propagate_backward_time: 718.1432495117, weight_update_time: 1.1445562840, other_time: 12.2216186523
epoch time: 94.2040023804s, input_fired_time: 1.2269195318, output_fired_time: 0.0000000000, propagate_forward_time: 90.8423614502, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1347198486
validation[          , genome  5809] predictions:    5320/  10000 (53.20%), best:    5284/10000 (52.84%), error:     14868.40918, best error:     14269.16406 on epoch:     5, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1202.1397705078s, input_fired_time: 9.7442140579, output_fired_time: 9.2038898468, propagate_forward_time: 453.4075927734, propagate_backward_time: 717.6179199219, weight_update_time: 1.1406334639, other_time: 12.1661376953
epoch time: 94.0722351074s, input_fired_time: 1.2087122202, output_fired_time: 0.0000000000, propagate_forward_time: 90.7245559692, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1389694214
validation[          , genome  5809] predictions:    5336/  10000 (53.36%), best:    5284/10000 (52.84%), error:     14426.93945, best error:     14269.16406 on epoch:     5, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1201.4293212891s, input_fired_time: 9.7204742432, output_fired_time: 9.1907796860, propagate_forward_time: 452.8924865723, propagate_backward_time: 717.4273681641, weight_update_time: 1.1435916424, other_time: 12.1982421875
epoch time: 94.5213623047s, input_fired_time: 1.2146521807, output_fired_time: 0.0000000000, propagate_forward_time: 91.1718139648, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1348953247
validation[          , genome  5809] predictions:    5238/  10000 (52.38%), best:    5284/10000 (52.84%), error:     15003.02832, best error:     14269.16406 on epoch:     5, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1202.9914550781s, input_fired_time: 9.7778186798, output_fired_time: 9.2050466537, propagate_forward_time: 454.1771240234, propagate_backward_time: 717.6617431641, weight_update_time: 1.1425228119, other_time: 12.1696777344
epoch time: 93.8890686035s, input_fired_time: 1.2104943991, output_fired_time: 0.0000000000, propagate_forward_time: 90.5530242920, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1255493164
validation[          , genome  5809] predictions:    5244/  10000 (52.44%), best:    5284/10000 (52.84%), error:     15237.29297, best error:     14269.16406 on epoch:     5, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1203.8830566406s, input_fired_time: 9.7617607117, output_fired_time: 9.2241973877, propagate_forward_time: 454.4465942383, propagate_backward_time: 718.2613525391, weight_update_time: 1.1446938515, other_time: 12.1891479492
epoch time: 93.7507400513s, input_fired_time: 1.2255957127, output_fired_time: 0.0000000000, propagate_forward_time: 90.4200897217, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1050567627
validation[          , genome  5809] predictions:    5271/  10000 (52.71%), best:    5284/10000 (52.84%), error:     14839.22559, best error:     14269.16406 on epoch:     5, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1199.8889160156s, input_fired_time: 9.7483663559, output_fired_time: 9.1540794373, propagate_forward_time: 452.3262023926, propagate_backward_time: 716.4796142578, weight_update_time: 1.1437212229, other_time: 12.1806640625
epoch time: 94.2782516479s, input_fired_time: 1.2189297676, output_fired_time: 0.0000000000, propagate_forward_time: 90.9377593994, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1215591431
validation[          , genome  5809] predictions:    5428/  10000 (54.28%), best:    5428/10000 (54.28%), error:     13678.95801, best error:     13678.95801 on epoch:    15, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1203.5396728516s, input_fired_time: 9.7891035080, output_fired_time: 9.2040138245, propagate_forward_time: 454.2059326172, propagate_backward_time: 718.1749877930, weight_update_time: 1.1435294151, other_time: 12.1657104492
epoch time: 94.4805297852s, input_fired_time: 1.2253770828, output_fired_time: 0.0000000000, propagate_forward_time: 91.1292724609, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1258773804
validation[          , genome  5809] predictions:    5448/  10000 (54.48%), best:    5428/10000 (54.28%), error:     14605.68750, best error:     13678.95801 on epoch:    15, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1204.1922607422s, input_fired_time: 9.7845554352, output_fired_time: 9.2217569351, propagate_forward_time: 454.2973632813, propagate_backward_time: 718.6751708984, weight_update_time: 1.1465762854, other_time: 12.2133789063
epoch time: 94.0448150635s, input_fired_time: 1.2090663910, output_fired_time: 0.0000000000, propagate_forward_time: 90.7113113403, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1244354248
validation[          , genome  5809] predictions:    5452/  10000 (54.52%), best:    5428/10000 (54.28%), error:     14007.43262, best error:     13678.95801 on epoch:    15, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1204.1246337891s, input_fired_time: 9.8089952469, output_fired_time: 9.1926784515, propagate_forward_time: 454.9366455078, propagate_backward_time: 718.0264282227, weight_update_time: 1.1428724527, other_time: 12.1599731445
epoch time: 94.1553421021s, input_fired_time: 1.2165343761, output_fired_time: 0.0000000000, propagate_forward_time: 90.8074645996, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1313400269
validation[          , genome  5809] predictions:    5524/  10000 (55.24%), best:    5428/10000 (54.28%), error:     13829.86523, best error:     13678.95801 on epoch:    15, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1284.2502441406s, input_fired_time: 10.4299468994, output_fired_time: 10.0359973907, propagate_forward_time: 485.5109863281, propagate_backward_time: 765.3157348633, weight_update_time: 1.2119218111, other_time: 12.9575805664
epoch time: 100.2297668457s, input_fired_time: 1.2891770601, output_fired_time: 0.0000000000, propagate_forward_time: 96.6688232422, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2717666626
validation[          , genome  5809] predictions:    5474/  10000 (54.74%), best:    5474/10000 (54.74%), error:     13677.95020, best error:     13677.95020 on epoch:    19, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1222.9132080078s, input_fired_time: 9.9631977081, output_fired_time: 9.3784389496, propagate_forward_time: 461.7195434570, propagate_backward_time: 729.4367675781, weight_update_time: 1.1650971174, other_time: 12.4152221680
epoch time: 93.8262176514s, input_fired_time: 1.2231539488, output_fired_time: 0.0000000000, propagate_forward_time: 90.4864730835, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1165924072
validation[          , genome  5809] predictions:    5678/  10000 (56.78%), best:    5678/10000 (56.78%), error:     13034.70996, best error:     13034.70996 on epoch:    20, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1202.7241210938s, input_fired_time: 9.8108386993, output_fired_time: 9.2118186951, propagate_forward_time: 452.7216186523, propagate_backward_time: 718.7800292969, weight_update_time: 1.1514421701, other_time: 12.1998901367
epoch time: 94.1631011963s, input_fired_time: 1.2288123369, output_fired_time: 0.0000000000, propagate_forward_time: 90.7991790771, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1351089478
validation[          , genome  5809] predictions:    5451/  10000 (54.51%), best:    5678/10000 (56.78%), error:     13752.94043, best error:     13034.70996 on epoch:    20, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1202.4804687500s, input_fired_time: 9.8167686462, output_fired_time: 9.1924409866, propagate_forward_time: 453.7081909180, propagate_backward_time: 717.5637817383, weight_update_time: 1.1484259367, other_time: 12.1993408203
epoch time: 94.1108703613s, input_fired_time: 1.2296127081, output_fired_time: 0.0000000000, propagate_forward_time: 90.7550506592, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1262054443
validation[          , genome  5809] predictions:    5581/  10000 (55.81%), best:    5678/10000 (56.78%), error:     13337.36133, best error:     13034.70996 on epoch:    20, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1201.7156982422s, input_fired_time: 9.8296909332, output_fired_time: 9.1772480011, propagate_forward_time: 454.0107116699, propagate_backward_time: 716.5270385742, weight_update_time: 1.1435396671, other_time: 12.1709594727
epoch time: 94.0605316162s, input_fired_time: 1.2255507708, output_fired_time: 0.0000000000, propagate_forward_time: 90.7070999146, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1278839111
validation[          , genome  5809] predictions:    5776/  10000 (57.76%), best:    5776/10000 (57.76%), error:     12909.94824, best error:     12909.94824 on epoch:    23, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1202.3756103516s, input_fired_time: 9.8185052872, output_fired_time: 9.1819410324, propagate_forward_time: 453.3670043945, propagate_backward_time: 717.8352661133, weight_update_time: 1.1458762884, other_time: 12.1729736328
epoch time: 94.4334259033s, input_fired_time: 1.2232449055, output_fired_time: 0.0000000000, propagate_forward_time: 91.0958938599, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1142883301
validation[          , genome  5809] predictions:    5591/  10000 (55.91%), best:    5776/10000 (57.76%), error:     13349.61523, best error:     12909.94824 on epoch:    23, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1202.4366455078s, input_fired_time: 9.8522548676, output_fired_time: 9.1927146912, propagate_forward_time: 453.3282165527, propagate_backward_time: 717.8858032227, weight_update_time: 1.1462481022, other_time: 12.1775512695
epoch time: 94.0901412964s, input_fired_time: 1.2306560278, output_fired_time: 0.0000000000, propagate_forward_time: 90.7277526855, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1317291260
validation[          , genome  5809] predictions:    5582/  10000 (55.82%), best:    5776/10000 (57.76%), error:     13458.52246, best error:     12909.94824 on epoch:    23, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 1205.7969970703s, input_fired_time: 9.8790378571, output_fired_time: 9.2068510056, propagate_forward_time: 455.4108581543, propagate_backward_time: 719.0565185547, weight_update_time: 1.1524218321, other_time: 12.2436523438
epoch time: 102.8948287964s, input_fired_time: 1.3247737885, output_fired_time: 0.0000000000, propagate_forward_time: 99.2709350586, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2991180420
validation[          , genome  5809] predictions:    5280/  10000 (52.80%), best:    5776/10000 (57.76%), error:     14383.94141, best error:     12909.94824 on epoch:    23, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 1285.8369140625s, input_fired_time: 10.3965826035, output_fired_time: 10.0749673843, propagate_forward_time: 487.8846435547, propagate_backward_time: 764.4937744141, weight_update_time: 1.2047086954, other_time: 12.9869384766
epoch time: 94.3808059692s, input_fired_time: 1.2416423559, output_fired_time: 0.0000000000, propagate_forward_time: 91.0141448975, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1250152588
validation[          , genome  5809] predictions:    5677/  10000 (56.77%), best:    5677/10000 (56.77%), error:     12791.23047, best error:     12791.23047 on epoch:    27, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 1203.1518554688s, input_fired_time: 9.8656845093, output_fired_time: 9.2478456497, propagate_forward_time: 453.7062377930, propagate_backward_time: 718.1716918945, weight_update_time: 1.1412661076, other_time: 12.1604003906
epoch time: 94.0175857544s, input_fired_time: 1.2255626917, output_fired_time: 0.0000000000, propagate_forward_time: 90.6782913208, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1137313843
validation[          , genome  5809] predictions:    5827/  10000 (58.27%), best:    5827/10000 (58.27%), error:     12416.97461, best error:     12416.97461 on epoch:    28, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 1212.4942626953s, input_fired_time: 9.9293422699, output_fired_time: 9.1901350021, propagate_forward_time: 456.1044006348, propagate_backward_time: 725.0086059570, weight_update_time: 1.1512807608, other_time: 12.2617797852
epoch time: 94.4613342285s, input_fired_time: 1.2466580868, output_fired_time: 0.0000000000, propagate_forward_time: 91.0836029053, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1310729980
validation[          , genome  5809] predictions:    5684/  10000 (56.84%), best:    5827/10000 (58.27%), error:     13252.78711, best error:     12416.97461 on epoch:    28, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 1202.8002929688s, input_fired_time: 9.9129295349, output_fired_time: 9.2017803192, propagate_forward_time: 454.0015258789, propagate_backward_time: 717.5167846680, weight_update_time: 1.1458507776, other_time: 12.1672363281
epoch time: 93.6388473511s, input_fired_time: 1.2333340645, output_fired_time: 0.0000000000, propagate_forward_time: 90.2837982178, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1217117310
validation[          , genome  5809] predictions:    5726/  10000 (57.26%), best:    5827/10000 (58.27%), error:     13136.48340, best error:     12416.97461 on epoch:    28, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 1203.2094726563s, input_fired_time: 9.9002456665, output_fired_time: 9.1758279800, propagate_forward_time: 454.0081481934, propagate_backward_time: 717.9054565430, weight_update_time: 1.1423193216, other_time: 12.2197875977
epoch time: 94.1804580688s, input_fired_time: 1.2320905924, output_fired_time: 0.0000000000, propagate_forward_time: 90.8220596313, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1263046265
validation[          , genome  5809] predictions:    5515/  10000 (55.15%), best:    5827/10000 (58.27%), error:     13720.00000, best error:     12416.97461 on epoch:    28, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1203.1777343750s, input_fired_time: 9.9153537750, output_fired_time: 9.1899156570, propagate_forward_time: 453.4570617676, propagate_backward_time: 718.3827514648, weight_update_time: 1.1437309980, other_time: 12.2326049805
epoch time: 93.9948883057s, input_fired_time: 1.2466405630, output_fired_time: 0.0000000000, propagate_forward_time: 90.6121826172, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1360626221
validation[          , genome  5809] predictions:    5827/  10000 (58.27%), best:    5827/10000 (58.27%), error:     12753.48926, best error:     12416.97461 on epoch:    28, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1203.2170410156s, input_fired_time: 9.9186754227, output_fired_time: 9.1761188507, propagate_forward_time: 453.7440795898, propagate_backward_time: 718.1705322266, weight_update_time: 1.1448894739, other_time: 12.2075805664
epoch time: 94.2536544800s, input_fired_time: 1.2586534023, output_fired_time: 0.0000000000, propagate_forward_time: 90.8828582764, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1121444702
validation[          , genome  5809] predictions:    5782/  10000 (57.82%), best:    5827/10000 (58.27%), error:     12791.79004, best error:     12416.97461 on epoch:    28, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1200.6690673828s, input_fired_time: 9.9172649384, output_fired_time: 9.1605930328, propagate_forward_time: 452.6862792969, propagate_backward_time: 716.7500000000, weight_update_time: 1.1458134651, other_time: 12.1549072266
epoch time: 94.1555099487s, input_fired_time: 1.2415875196, output_fired_time: 0.0000000000, propagate_forward_time: 90.7947692871, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1191558838
validation[          , genome  5809] predictions:    5780/  10000 (57.80%), best:    5827/10000 (58.27%), error:     12866.69141, best error:     12416.97461 on epoch:    28, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1202.5206298828s, input_fired_time: 9.9322080612, output_fired_time: 9.2013454437, propagate_forward_time: 453.6651000977, propagate_backward_time: 717.5413818359, weight_update_time: 1.1414633989, other_time: 12.1806030273
epoch time: 94.0194854736s, input_fired_time: 1.2512456179, output_fired_time: 0.0000000000, propagate_forward_time: 90.6432266235, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1250152588
validation[          , genome  5809] predictions:    5763/  10000 (57.63%), best:    5827/10000 (58.27%), error:     12902.28125, best error:     12416.97461 on epoch:    28, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1202.1256103516s, input_fired_time: 9.9413299561, output_fired_time: 9.1543817520, propagate_forward_time: 453.1910095215, propagate_backward_time: 717.6049804688, weight_update_time: 1.1508579254, other_time: 12.2338867188
epoch time: 94.0639038086s, input_fired_time: 1.2424634695, output_fired_time: 0.0000000000, propagate_forward_time: 90.6970977783, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1243438721
validation[          , genome  5809] predictions:    5875/  10000 (58.75%), best:    5827/10000 (58.27%), error:     12708.93066, best error:     12416.97461 on epoch:    28, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1204.2465820313s, input_fired_time: 9.9777221680, output_fired_time: 9.1650409698, propagate_forward_time: 455.4284667969, propagate_backward_time: 717.5290527344, weight_update_time: 1.1393779516, other_time: 12.1462402344
epoch time: 94.3998107910s, input_fired_time: 1.2452218533, output_fired_time: 0.0000000000, propagate_forward_time: 91.0240402222, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1305465698
validation[          , genome  5809] predictions:    5619/  10000 (56.19%), best:    5827/10000 (58.27%), error:     13735.55078, best error:     12416.97461 on epoch:    28, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1203.1737060547s, input_fired_time: 9.9614171982, output_fired_time: 9.2077054977, propagate_forward_time: 453.5903625488, propagate_backward_time: 718.2398071289, weight_update_time: 1.1497168541, other_time: 12.1743774414
epoch time: 93.9759674072s, input_fired_time: 1.2536740303, output_fired_time: 0.0000000000, propagate_forward_time: 90.6071853638, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1151046753
validation[          , genome  5809] predictions:    5651/  10000 (56.51%), best:    5827/10000 (58.27%), error:     13527.57813, best error:     12416.97461 on epoch:    28, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1203.4464111328s, input_fired_time: 9.9966878891, output_fired_time: 9.1759338379, propagate_forward_time: 455.2324218750, propagate_backward_time: 716.8435668945, weight_update_time: 1.1478415728, other_time: 12.1978149414
epoch time: 94.1818389893s, input_fired_time: 1.2630206347, output_fired_time: 0.0000000000, propagate_forward_time: 90.8076782227, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1111373901
validation[          , genome  5809] predictions:    5941/  10000 (59.41%), best:    5827/10000 (58.27%), error:     12530.13379, best error:     12416.97461 on epoch:    28, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1203.1428222656s, input_fired_time: 9.9806632996, output_fired_time: 9.1819000244, propagate_forward_time: 453.8679809570, propagate_backward_time: 717.9735717773, weight_update_time: 1.1403247118, other_time: 12.1386718750
epoch time: 93.9175109863s, input_fired_time: 1.2495335340, output_fired_time: 0.0000000000, propagate_forward_time: 90.5623550415, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1056213379
validation[          , genome  5809] predictions:    5904/  10000 (59.04%), best:    5827/10000 (58.27%), error:     12686.37598, best error:     12416.97461 on epoch:    28, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1202.4874267578s, input_fired_time: 9.9722118378, output_fired_time: 9.1385364532, propagate_forward_time: 453.9786376953, propagate_backward_time: 717.2399291992, weight_update_time: 1.1442614794, other_time: 12.1581420898
epoch time: 93.7560653687s, input_fired_time: 1.2463269234, output_fired_time: 0.0000000000, propagate_forward_time: 90.3977050781, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1120300293
validation[          , genome  5809] predictions:    5880/  10000 (58.80%), best:    5827/10000 (58.27%), error:     12536.86328, best error:     12416.97461 on epoch:    28, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1203.1403808594s, input_fired_time: 10.0127773285, output_fired_time: 9.2059755325, propagate_forward_time: 453.5413208008, propagate_backward_time: 718.2196044922, weight_update_time: 1.1386758089, other_time: 12.1607055664
epoch time: 94.2038497925s, input_fired_time: 1.2673941851, output_fired_time: 0.0000000000, propagate_forward_time: 90.7927017212, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1437530518
validation[          , genome  5809] predictions:    5815/  10000 (58.15%), best:    5827/10000 (58.27%), error:     12732.03711, best error:     12416.97461 on epoch:    28, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1205.9211425781s, input_fired_time: 10.0285730362, output_fired_time: 9.2013921738, propagate_forward_time: 454.9655151367, propagate_backward_time: 719.4745483398, weight_update_time: 1.1581730843, other_time: 12.2510986328
epoch time: 94.3926773071s, input_fired_time: 1.2700096369, output_fired_time: 0.0000000000, propagate_forward_time: 91.0023345947, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1203308105
validation[          , genome  5809] predictions:    5778/  10000 (57.78%), best:    5827/10000 (58.27%), error:     12918.10352, best error:     12416.97461 on epoch:    28, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1202.4399414063s, input_fired_time: 10.0081958771, output_fired_time: 9.1795215607, propagate_forward_time: 453.5888061523, propagate_backward_time: 717.4942626953, weight_update_time: 1.1483952999, other_time: 12.1691284180
epoch time: 94.4865722656s, input_fired_time: 1.2694579363, output_fired_time: 0.0000000000, propagate_forward_time: 91.0776672363, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1394500732
validation[          , genome  5809] predictions:    5927/  10000 (59.27%), best:    5927/10000 (59.27%), error:     12110.26953, best error:     12110.26953 on epoch:    44, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1281.3228759766s, input_fired_time: 10.5675811768, output_fired_time: 9.8502588272, propagate_forward_time: 485.3247680664, propagate_backward_time: 762.5242309570, weight_update_time: 1.2526782751, other_time: 13.0560302734
epoch time: 94.0523910522s, input_fired_time: 1.2733945847, output_fired_time: 0.0000000000, propagate_forward_time: 90.6444625854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1345367432
validation[          , genome  5809] predictions:    5932/  10000 (59.32%), best:    5927/10000 (59.27%), error:     12404.66016, best error:     12110.26953 on epoch:    44, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1204.7415771484s, input_fired_time: 10.0440578461, output_fired_time: 9.2446441650, propagate_forward_time: 454.1542663574, propagate_backward_time: 719.1109008789, weight_update_time: 1.1453044415, other_time: 12.1876831055
epoch time: 94.3116989136s, input_fired_time: 1.2681325674, output_fired_time: 0.0000000000, propagate_forward_time: 90.9082412720, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1353225708
validation[          , genome  5809] predictions:    6026/  10000 (60.26%), best:    6026/10000 (60.26%), error:     12084.20313, best error:     12084.20313 on epoch:    46, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1204.2863769531s, input_fired_time: 10.0435905457, output_fired_time: 9.2024068832, propagate_forward_time: 454.4904785156, propagate_backward_time: 718.3439941406, weight_update_time: 1.1432594061, other_time: 12.2059326172
epoch time: 94.1758117676s, input_fired_time: 1.2710912228, output_fired_time: 0.0000000000, propagate_forward_time: 90.7716445923, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1330795288
validation[          , genome  5809] predictions:    5943/  10000 (59.43%), best:    6026/10000 (60.26%), error:     12366.88672, best error:     12084.20313 on epoch:    46, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1204.1302490234s, input_fired_time: 10.0389156342, output_fired_time: 9.2266120911, propagate_forward_time: 454.2253723145, propagate_backward_time: 718.4127197266, weight_update_time: 1.1468696594, other_time: 12.2266845703
epoch time: 94.0691452026s, input_fired_time: 1.2518000603, output_fired_time: 0.0000000000, propagate_forward_time: 90.7149658203, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1023788452
validation[          , genome  5809] predictions:    5882/  10000 (58.82%), best:    6026/10000 (60.26%), error:     12595.27148, best error:     12084.20313 on epoch:    46, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1213.8074951172s, input_fired_time: 10.1146116257, output_fired_time: 9.3006906509, propagate_forward_time: 458.1498413086, propagate_backward_time: 723.9110107422, weight_update_time: 1.1607846022, other_time: 12.3313598633
epoch time: 94.3609466553s, input_fired_time: 1.2744895220, output_fired_time: 0.0000000000, propagate_forward_time: 90.9300537109, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1564025879
validation[          , genome  5809] predictions:    5906/  10000 (59.06%), best:    6026/10000 (60.26%), error:     12433.16992, best error:     12084.20313 on epoch:    46, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1205.0081787109s, input_fired_time: 10.0652246475, output_fired_time: 9.2106618881, propagate_forward_time: 454.3355102539, propagate_backward_time: 719.1538085938, weight_update_time: 1.1491968632, other_time: 12.2429809570
epoch time: 93.9142150879s, input_fired_time: 1.2704548836, output_fired_time: 0.0000000000, propagate_forward_time: 90.5252456665, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1185150146
validation[          , genome  5809] predictions:    5972/  10000 (59.72%), best:    6026/10000 (60.26%), error:     12452.21582, best error:     12084.20313 on epoch:    46, epoch:   50/50, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

evaluating best weights on full training data.
evaluting training set with running mean/variance:
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/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_174_5809.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_174_5809_1_r1280473181_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: 0.954182
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000913721
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.65488e-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: 51
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 46
read number_validation_images: 10000
read best_validation_predictions: 6026
read best_validation_error: 12084.2
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: 5809
read normal distribution: '1 0 0'
generator_str: '1078298221'
read generator: 1078298221
read generated_by_map:
1 crossover 1
reading 93 nodes.
reading 305 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
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: 3x32x32 = 3072
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: 3
width: 32
height: 32
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: 3x32x32 = 3072
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
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/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_174_5809.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_174_5809_1_r1280473181_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: 0.954182
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000913721
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.65488e-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: 51
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 46
read number_validation_images: 10000
read best_validation_predictions: 6026
read best_validation_error: 12084.2
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: 5809
read normal distribution: '1 0 0'
generator_str: '1078298221'
read generator: 1078298221
read generated_by_map:
1 crossover 1
reading 93 nodes.
reading 305 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
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: 3x32x32 = 3072
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: 3
width: 32
height: 32
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: 3x32x32 = 3072
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
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/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_174_5809.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_174_5809_1_r1280473181_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: 0.954182
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000913721
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.65488e-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: 51
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 46
read number_validation_images: 10000
read best_validation_predictions: 6026
read best_validation_error: 12084.2
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: 5809
read normal distribution: '1 0 0'
generator_str: '1078298221'
read generator: 1078298221
read generated_by_map:
1 crossover 1
reading 93 nodes.
reading 305 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
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: 3x32x32 = 3072
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: 3
width: 32
height: 32
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: 3x32x32 = 3072
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
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/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_174_5809.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_174_5809_1_r1280473181_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: 0.954182
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000913721
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.65488e-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: 51
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 46
read number_validation_images: 10000
read best_validation_predictions: 6026
read best_validation_error: 12084.2
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: 5809
read normal distribution: '1 0 0'
generator_str: '1078298221'
read generator: 1078298221
read generated_by_map:
1 crossover 1
reading 93 nodes.
reading 305 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
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: 3x32x32 = 3072
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: 3
width: 32
height: 32
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: 3x32x32 = 3072
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
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/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_174_5809.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_174_5809_1_r1280473181_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: 0.954182
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000913721
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.65488e-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: 51
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 46
read number_validation_images: 10000
read best_validation_predictions: 6026
read best_validation_error: 12084.2
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: 5809
read normal distribution: '1 0 0'
generator_str: '1078298221'
read generator: 1078298221
read generated_by_map:
1 crossover 1
reading 93 nodes.
reading 305 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
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: 3x32x32 = 3072
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: 3
width: 32
height: 32
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: 3x32x32 = 3072
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
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/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_174_5809.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_174_5809_1_r1280473181_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: 0.954182
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000913721
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.65488e-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: 51
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 46
read number_validation_images: 10000
read best_validation_predictions: 6026
read best_validation_error: 12084.2
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: 5809
read normal distribution: '1 0 0'
generator_str: '1078298221'
read generator: 1078298221
read generated_by_map:
1 crossover 1
reading 93 nodes.
reading 305 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
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: 3x32x32 = 3072
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: 3
width: 32
height: 32
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: 3x32x32 = 3072
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
loaded images
starting backpropagation!
epoch time: 1225.31188964844s, input_fired_time: 10.2444667816162, output_fired_time: 9.43979072570801, propagate_forward_time: 462.634887695313, propagate_backward_time: 730.540222167969, weight_update_time: 1.17015182971954, other_time: 12.4524536132813
epoch time: 96.3200454711914s, input_fired_time: 1.30392372608185, output_fired_time: 0, propagate_forward_time: 92.8271865844727, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.18893432617188
validation[          , genome  5809] predictions:    6039/  10000 (60.39%), best:    6026/10000 (60.26%), error:     12117.06641, best error:     12084.20313 on epoch:    46, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 480.8443298340s, input_fired_time: 6.4725708961, output_fired_time: 0.0000000000, propagate_forward_time: 463.4157104492, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.9560546875
best training[          , genome  5809] predictions:   35807/  50000 (71.61%), best:    6026/10000 (60.26%), error:     40893.89063, best error:     12084.20313 on epoch:    46, epoch:   52/50, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 96.1978073120s, input_fired_time: 1.2929283381, output_fired_time: 0.0000000000, propagate_forward_time: 92.6939086914, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2109680176
   testing[          , genome  5809] predictions:    6026/  10000 (60.26%), best:    6026/10000 (60.26%), error:     12084.20313, best error:     12084.20313 on epoch:    46, epoch:   52/50, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214
backpropagation finished successfully!
14:01:34 (21848): called boinc_finish(0)

</stderr_txt>
]]>