Nameexact_genome_1517574602_61_18289_1
Workunit2990911
Created9 Feb 2018, 7:56:46 UTC
Sent9 Feb 2018, 8:48:50 UTC
Report deadline5 Mar 2018, 2:56:16 UTC
Received10 Feb 2018, 9:28:40 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID52260
Run time10 hours 14 min 3 sec
CPU time10 hours 2 min 29 sec
Validate stateInitial
Credit0.00
Device peak FLOPS4.44 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size174.50 MB
Peak swap size177.58 MB
Peak disk usage3.85 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
7298775, output_fired_time: 6.2883176804, propagate_forward_time: 129.0832061768, propagate_backward_time: 184.3943176270, weight_update_time: 0.1958215535, other_time: 7.8051300049
epoch time: 28.0835056305s, input_fired_time: 0.8285009861, output_fired_time: 0.0000000000, propagate_forward_time: 25.7907791138, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4642257690
validation[          , genome 18289] predictions:    9833/  10000 (98.33%), best:    9852/10000 (98.52%), error:       535.28247, best error:       466.78745 on epoch:    18, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 336.5675048828s, input_fired_time: 7.0750608444, output_fired_time: 6.2979202271, propagate_forward_time: 130.4137878418, propagate_backward_time: 184.9692230225, weight_update_time: 0.2164799422, other_time: 7.8115081787
epoch time: 28.3339271545s, input_fired_time: 0.8231245875, output_fired_time: 0.0000000000, propagate_forward_time: 26.0074214935, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5033817291
validation[          , genome 18289] predictions:    9791/  10000 (97.91%), best:    9852/10000 (98.52%), error:       655.60004, best error:       466.78745 on epoch:    18, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 334.1745605469s, input_fired_time: 7.0451202393, output_fired_time: 6.2910232544, propagate_forward_time: 129.4430389404, propagate_backward_time: 183.6336212158, weight_update_time: 0.1933600157, other_time: 7.7617797852
epoch time: 28.3442096710s, input_fired_time: 0.8413918018, output_fired_time: 0.0000000000, propagate_forward_time: 25.9765281677, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5262889862
validation[          , genome 18289] predictions:    9811/  10000 (98.11%), best:    9852/10000 (98.52%), error:       646.42120, best error:       466.78745 on epoch:    18, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 334.2158508301s, input_fired_time: 7.0510725975, output_fired_time: 6.2074427605, propagate_forward_time: 129.4188690186, propagate_backward_time: 183.8108215332, weight_update_time: 0.1973647177, other_time: 7.7276458740
epoch time: 28.0509300232s, input_fired_time: 0.8377953768, output_fired_time: 0.0000000000, propagate_forward_time: 25.7177085876, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4954261780
validation[          , genome 18289] predictions:    9818/  10000 (98.18%), best:    9852/10000 (98.52%), error:       576.52612, best error:       466.78745 on epoch:    18, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 335.2996826172s, input_fired_time: 7.0408310890, output_fired_time: 6.3066449165, propagate_forward_time: 129.6561737061, propagate_backward_time: 184.5146484375, weight_update_time: 0.1932130903, other_time: 7.7813873291
epoch time: 28.4088935852s, input_fired_time: 0.8553519249, output_fired_time: 0.0000000000, propagate_forward_time: 26.1079368591, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4456043243
validation[          , genome 18289] predictions:    9855/  10000 (98.55%), best:    9852/10000 (98.52%), error:       475.78241, best error:       466.78745 on epoch:    18, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 336.2029113770s, input_fired_time: 7.1736149788, output_fired_time: 6.3345561028, propagate_forward_time: 130.2950744629, propagate_backward_time: 184.6517944336, weight_update_time: 0.1960988343, other_time: 7.7478637695
epoch time: 28.3619499207s, input_fired_time: 0.8337662816, output_fired_time: 0.0000000000, propagate_forward_time: 26.0380897522, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4900932312
validation[          , genome 18289] predictions:    9804/  10000 (98.04%), best:    9852/10000 (98.52%), error:       642.73804, best error:       466.78745 on epoch:    18, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 335.7990722656s, input_fired_time: 7.0894908905, output_fired_time: 6.3319592476, propagate_forward_time: 129.9442138672, propagate_backward_time: 184.4894714355, weight_update_time: 0.2005286217, other_time: 7.9439392090
epoch time: 29.1635780334s, input_fired_time: 0.8679546118, output_fired_time: 0.0000000000, propagate_forward_time: 26.8269767761, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4686470032
validation[          , genome 18289] predictions:    9835/  10000 (98.35%), best:    9852/10000 (98.52%), error:       515.12042, best error:       466.78745 on epoch:    18, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 341.5325622559s, input_fired_time: 7.2105736732, output_fired_time: 6.4072184563, propagate_forward_time: 132.6112060547, propagate_backward_time: 187.5639648438, weight_update_time: 0.2033277899, other_time: 7.7395935059
epoch time: 28.4074230194s, input_fired_time: 0.8426693082, output_fired_time: 0.0000000000, propagate_forward_time: 26.0764789581, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4882755280
validation[          , genome 18289] predictions:    9842/  10000 (98.42%), best:    9852/10000 (98.52%), error:       499.86401, best error:       466.78745 on epoch:    18, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 339.3847351074s, input_fired_time: 7.1855101585, output_fired_time: 6.3884596825, propagate_forward_time: 131.8571166992, propagate_backward_time: 186.1743316650, weight_update_time: 0.1952977926, other_time: 7.7793121338
epoch time: 28.4420108795s, input_fired_time: 0.8569197059, output_fired_time: 0.0000000000, propagate_forward_time: 26.1164264679, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4686641693
validation[          , genome 18289] predictions:    9836/  10000 (98.36%), best:    9852/10000 (98.52%), error:       541.88434, best error:       466.78745 on epoch:    18, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 334.8202209473s, input_fired_time: 7.0702800751, output_fired_time: 6.2647480965, propagate_forward_time: 129.1324462891, propagate_backward_time: 184.5393066406, weight_update_time: 0.1993874162, other_time: 7.8134460449
epoch time: 28.5239181519s, input_fired_time: 0.8372412324, output_fired_time: 0.0000000000, propagate_forward_time: 26.1890640259, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4976119995
validation[          , genome 18289] predictions:    9854/  10000 (98.54%), best:    9854/10000 (98.54%), error:       466.16422, best error:       466.16422 on epoch:    30, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 339.1353454590s, input_fired_time: 7.1611981392, output_fired_time: 6.3534522057, propagate_forward_time: 131.5862579346, propagate_backward_time: 186.2457427979, weight_update_time: 0.2013844103, other_time: 7.7886962891
epoch time: 29.1173820496s, input_fired_time: 0.8662798405, output_fired_time: 0.0000000000, propagate_forward_time: 26.8131999969, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4379024506
validation[          , genome 18289] predictions:    9824/  10000 (98.24%), best:    9854/10000 (98.54%), error:       603.53857, best error:       466.16422 on epoch:    30, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 328.4919433594s, input_fired_time: 6.9287652969, output_fired_time: 6.1585221291, propagate_forward_time: 126.8266372681, propagate_backward_time: 180.6171875000, weight_update_time: 0.1882398129, other_time: 7.9608459473
epoch time: 27.9685955048s, input_fired_time: 0.8204385638, output_fired_time: 0.0000000000, propagate_forward_time: 25.5797080994, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5684490204
validation[          , genome 18289] predictions:    9848/  10000 (98.48%), best:    9854/10000 (98.54%), error:       482.42255, best error:       466.16422 on epoch:    30, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 325.9766540527s, input_fired_time: 6.8887267113, output_fired_time: 6.0665850639, propagate_forward_time: 126.0959320068, propagate_backward_time: 178.8647003174, weight_update_time: 0.1846818030, other_time: 8.0606994629
epoch time: 27.6147727966s, input_fired_time: 0.8112927675, output_fired_time: 0.0000000000, propagate_forward_time: 25.2272644043, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5762157440
validation[          , genome 18289] predictions:    9820/  10000 (98.20%), best:    9854/10000 (98.54%), error:       536.13324, best error:       466.16422 on epoch:    30, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 328.6236267090s, input_fired_time: 6.9220819473, output_fired_time: 6.1595802307, propagate_forward_time: 127.2151565552, propagate_backward_time: 180.2479095459, weight_update_time: 0.1870770901, other_time: 8.0789031982
epoch time: 27.7244834900s, input_fired_time: 0.8192831278, output_fired_time: 0.0000000000, propagate_forward_time: 25.3718357086, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5333652496
validation[          , genome 18289] predictions:    9840/  10000 (98.40%), best:    9854/10000 (98.54%), error:       515.69800, best error:       466.16422 on epoch:    30, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 329.4445800781s, input_fired_time: 6.9537839890, output_fired_time: 6.1347599030, propagate_forward_time: 127.4733200073, propagate_backward_time: 180.8193664551, weight_update_time: 0.1884057969, other_time: 8.0633239746
epoch time: 27.7930870056s, input_fired_time: 0.8241062164, output_fired_time: 0.0000000000, propagate_forward_time: 25.4196891785, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5492916107
validation[          , genome 18289] predictions:    9835/  10000 (98.35%), best:    9854/10000 (98.54%), error:       514.59161, best error:       466.16422 on epoch:    30, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 327.2374267578s, input_fired_time: 6.8959741592, output_fired_time: 6.1183428764, propagate_forward_time: 126.2068405151, propagate_backward_time: 179.9323272705, weight_update_time: 0.1862733960, other_time: 8.0839385986
epoch time: 27.5909576416s, input_fired_time: 0.8136778474, output_fired_time: 0.0000000000, propagate_forward_time: 25.2196445465, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5576343536
validation[          , genome 18289] predictions:    9873/  10000 (98.73%), best:    9873/10000 (98.73%), error:       427.37759, best error:       427.37759 on epoch:    36, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 329.0837402344s, input_fired_time: 6.8999910355, output_fired_time: 6.1454768181, propagate_forward_time: 127.1888198853, propagate_backward_time: 180.6839294434, weight_update_time: 0.1889180094, other_time: 8.1655273438
epoch time: 27.6014690399s, input_fired_time: 0.8174548149, output_fired_time: 0.0000000000, propagate_forward_time: 25.2422237396, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5417900085
validation[          , genome 18289] predictions:    9855/  10000 (98.55%), best:    9873/10000 (98.73%), error:       465.98865, best error:       427.37759 on epoch:    36, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 327.1475219727s, input_fired_time: 6.9062967300, output_fired_time: 6.0804839134, propagate_forward_time: 126.8672943115, propagate_backward_time: 179.1849822998, weight_update_time: 0.1869217604, other_time: 8.1084594727
epoch time: 27.8928546906s, input_fired_time: 0.8235044479, output_fired_time: 0.0000000000, propagate_forward_time: 25.4572486877, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6121025085
validation[          , genome 18289] predictions:    9867/  10000 (98.67%), best:    9873/10000 (98.73%), error:       433.39752, best error:       427.37759 on epoch:    36, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 326.8706970215s, input_fired_time: 6.8773679733, output_fired_time: 6.0801024437, propagate_forward_time: 126.3094940186, propagate_backward_time: 179.5765991211, weight_update_time: 0.1868579388, other_time: 8.0271148682
epoch time: 27.3928241730s, input_fired_time: 0.8049821854, output_fired_time: 0.0000000000, propagate_forward_time: 25.0310077667, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5568332672
validation[          , genome 18289] predictions:    9842/  10000 (98.42%), best:    9873/10000 (98.73%), error:       518.62970, best error:       427.37759 on epoch:    36, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 329.2620544434s, input_fired_time: 6.9174561501, output_fired_time: 6.1470093727, propagate_forward_time: 127.3812866211, propagate_backward_time: 180.7845916748, weight_update_time: 0.1880032122, other_time: 8.0317230225
epoch time: 27.6393241882s, input_fired_time: 0.8152139187, output_fired_time: 0.0000000000, propagate_forward_time: 25.2630310059, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5610790253
validation[          , genome 18289] predictions:    9837/  10000 (98.37%), best:    9873/10000 (98.73%), error:       488.70175, best error:       427.37759 on epoch:    36, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 328.7225036621s, input_fired_time: 6.9116387367, output_fired_time: 6.0878262520, propagate_forward_time: 127.3308410645, propagate_backward_time: 180.3439941406, weight_update_time: 0.1857997030, other_time: 8.0481872559
epoch time: 27.5201435089s, input_fired_time: 0.8186883330, output_fired_time: 0.0000000000, propagate_forward_time: 25.1678104401, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5336456299
validation[          , genome 18289] predictions:    9845/  10000 (98.45%), best:    9873/10000 (98.73%), error:       484.77490, best error:       427.37759 on epoch:    36, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 326.9664916992s, input_fired_time: 6.8817758560, output_fired_time: 6.0903005600, propagate_forward_time: 126.2628250122, propagate_backward_time: 179.6501007080, weight_update_time: 0.1873609424, other_time: 8.0814971924
epoch time: 27.7944698334s, input_fired_time: 0.8189311624, output_fired_time: 0.0000000000, propagate_forward_time: 25.4373645782, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5381736755
validation[          , genome 18289] predictions:    9850/  10000 (98.50%), best:    9873/10000 (98.73%), error:       490.73361, best error:       427.37759 on epoch:    36, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 328.3012084961s, input_fired_time: 6.8884902000, output_fired_time: 6.1314134598, propagate_forward_time: 126.7928848267, propagate_backward_time: 180.3458099365, weight_update_time: 0.1875614673, other_time: 8.1426239014
epoch time: 27.9503192902s, input_fired_time: 0.8218957782, output_fired_time: 0.0000000000, propagate_forward_time: 25.5230255127, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6053981781
validation[          , genome 18289] predictions:    9863/  10000 (98.63%), best:    9873/10000 (98.73%), error:       441.83270, best error:       427.37759 on epoch:    36, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 328.0197753906s, input_fired_time: 6.9042768478, output_fired_time: 6.1285696030, propagate_forward_time: 126.6744689941, propagate_backward_time: 180.3284606934, weight_update_time: 0.1852409989, other_time: 7.9840087891
epoch time: 27.5266704559s, input_fired_time: 0.8184970021, output_fired_time: 0.0000000000, propagate_forward_time: 25.1698989868, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5382747650
validation[          , genome 18289] predictions:    9855/  10000 (98.55%), best:    9873/10000 (98.73%), error:       481.08481, best error:       427.37759 on epoch:    36, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 326.3858947754s, input_fired_time: 6.8972697258, output_fired_time: 6.0660176277, propagate_forward_time: 126.1338729858, propagate_backward_time: 179.2685852051, weight_update_time: 0.1878202111, other_time: 8.0201416016
epoch time: 27.1559486389s, input_fired_time: 0.8076515794, output_fired_time: 0.0000000000, propagate_forward_time: 24.8102588654, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5380382538
validation[          , genome 18289] predictions:    9829/  10000 (98.29%), best:    9873/10000 (98.73%), error:       513.37567, best error:       427.37759 on epoch:    36, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 327.6212158203s, input_fired_time: 6.9067802429, output_fired_time: 6.1064352989, propagate_forward_time: 126.8732986450, propagate_backward_time: 179.7028808594, weight_update_time: 0.1895027012, other_time: 8.0318298340
epoch time: 28.3256511688s, input_fired_time: 0.8283637762, output_fired_time: 0.0000000000, propagate_forward_time: 25.9402694702, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5570182800
validation[          , genome 18289] predictions:    9874/  10000 (98.74%), best:    9874/10000 (98.74%), error:       393.64780, best error:       393.64780 on epoch:    46, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 327.7789306641s, input_fired_time: 6.9206571579, output_fired_time: 6.1212854385, propagate_forward_time: 126.5908432007, propagate_backward_time: 180.2052154541, weight_update_time: 0.1877586097, other_time: 7.9409332275
epoch time: 27.9758186340s, input_fired_time: 0.8242385387, output_fired_time: 0.0000000000, propagate_forward_time: 25.6077384949, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5438423157
validation[          , genome 18289] predictions:    9864/  10000 (98.64%), best:    9874/10000 (98.74%), error:       441.99197, best error:       393.64780 on epoch:    46, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 327.7711181641s, input_fired_time: 6.9200291634, output_fired_time: 6.1881132126, propagate_forward_time: 126.5523986816, propagate_backward_time: 180.1449127197, weight_update_time: 0.1850008070, other_time: 7.9656524658
epoch time: 27.7919635773s, input_fired_time: 0.8242245913, output_fired_time: 0.0000000000, propagate_forward_time: 25.3956356049, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5721035004
validation[          , genome 18289] predictions:    9873/  10000 (98.73%), best:    9874/10000 (98.74%), error:       430.49472, best error:       393.64780 on epoch:    46, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 330.9039001465s, input_fired_time: 6.9895863533, output_fired_time: 6.1603760719, propagate_forward_time: 128.4753417969, propagate_backward_time: 181.2177734375, weight_update_time: 0.1883639395, other_time: 8.0608215332
epoch time: 28.0423889160s, input_fired_time: 0.8307930231, output_fired_time: 0.0000000000, propagate_forward_time: 25.6792278290, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5323677063
validation[          , genome 18289] predictions:    9852/  10000 (98.52%), best:    9874/10000 (98.74%), error:       438.19794, best error:       393.64780 on epoch:    46, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 327.8936462402s, input_fired_time: 6.9137263298, output_fired_time: 6.0705766678, propagate_forward_time: 126.9846954346, propagate_backward_time: 179.7998657227, weight_update_time: 0.1858844608, other_time: 8.1247711182
epoch time: 27.4295196533s, input_fired_time: 0.8195084929, output_fired_time: 0.0000000000, propagate_forward_time: 25.0940284729, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5159835815
validation[          , genome 18289] predictions:    9861/  10000 (98.61%), best:    9874/10000 (98.74%), error:       428.47177, best error:       393.64780 on epoch:    46, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 327.2593078613s, input_fired_time: 6.8900480270, output_fired_time: 6.0997033119, propagate_forward_time: 126.0630416870, propagate_backward_time: 180.1047821045, weight_update_time: 0.1893059611, other_time: 8.1017303467
epoch time: 27.4009361267s, input_fired_time: 0.8150550127, output_fired_time: 0.0000000000, propagate_forward_time: 25.0201282501, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5657520294
validation[          , genome 18289] predictions:    9868/  10000 (98.68%), best:    9874/10000 (98.74%), error:       461.83679, best error:       393.64780 on epoch:    46, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 330.2809143066s, input_fired_time: 6.9340820313, output_fired_time: 6.1799273491, propagate_forward_time: 127.6131820679, propagate_backward_time: 181.5360107422, weight_update_time: 0.1893849522, other_time: 8.0177001953
epoch time: 27.9741668701s, input_fired_time: 0.8291091919, output_fired_time: 0.0000000000, propagate_forward_time: 25.5702552795, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5748023987
validation[          , genome 18289] predictions:    9882/  10000 (98.82%), best:    9874/10000 (98.74%), error:       410.45892, best error:       393.64780 on epoch:    46, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 326.2294006348s, input_fired_time: 6.8995757103, output_fired_time: 6.0843629837, propagate_forward_time: 126.2940673828, propagate_backward_time: 178.8961181641, weight_update_time: 0.1892031729, other_time: 8.0552978516
epoch time: 27.9532909393s, input_fired_time: 0.8252143860, output_fired_time: 0.0000000000, propagate_forward_time: 25.5937309265, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5343456268
validation[          , genome 18289] predictions:    9880/  10000 (98.80%), best:    9880/10000 (98.80%), error:       390.54099, best error:       390.54099 on epoch:    53, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 327.9053344727s, input_fired_time: 6.9395375252, output_fired_time: 6.0774774551, propagate_forward_time: 127.1508255005, propagate_backward_time: 179.7005920410, weight_update_time: 0.1860863715, other_time: 8.0368957520
epoch time: 27.8482780457s, input_fired_time: 0.8203882575, output_fired_time: 0.0000000000, propagate_forward_time: 25.5137233734, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5141658783
validation[          , genome 18289] predictions:    9855/  10000 (98.55%), best:    9880/10000 (98.80%), error:       467.12790, best error:       390.54099 on epoch:    53, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 331.2837219238s, input_fired_time: 7.0003523827, output_fired_time: 6.1888680458, propagate_forward_time: 128.5863800049, propagate_backward_time: 181.3443756104, weight_update_time: 0.1893264800, other_time: 8.1637268066
epoch time: 28.0352821350s, input_fired_time: 0.8304951191, output_fired_time: 0.0000000000, propagate_forward_time: 25.6408863068, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5638999939
validation[          , genome 18289] predictions:    9880/  10000 (98.80%), best:    9880/10000 (98.80%), error:       389.58768, best error:       389.58768 on epoch:    55, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 328.0024414063s, input_fired_time: 6.9195199013, output_fired_time: 6.1128168106, propagate_forward_time: 126.8990631104, propagate_backward_time: 180.0230560303, weight_update_time: 0.1887320578, other_time: 8.0479736328
epoch time: 27.4214630127s, input_fired_time: 0.8176092505, output_fired_time: 0.0000000000, propagate_forward_time: 25.0881195068, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5157337189
validation[          , genome 18289] predictions:    9887/  10000 (98.87%), best:    9880/10000 (98.80%), error:       400.73538, best error:       389.58768 on epoch:    55, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 327.9807128906s, input_fired_time: 6.9454197884, output_fired_time: 6.0886650085, propagate_forward_time: 127.1033554077, propagate_backward_time: 179.8484497070, weight_update_time: 0.1868279278, other_time: 7.9948120117
epoch time: 27.8436355591s, input_fired_time: 0.8170143962, output_fired_time: 0.0000000000, propagate_forward_time: 25.4511718750, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5754489899
validation[          , genome 18289] predictions:    9833/  10000 (98.33%), best:    9880/10000 (98.80%), error:       528.98120, best error:       389.58768 on epoch:    55, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 328.1407775879s, input_fired_time: 6.9629645348, output_fired_time: 6.1483602524, propagate_forward_time: 126.9824905396, propagate_backward_time: 180.0131835938, weight_update_time: 0.1875782609, other_time: 8.0338134766
epoch time: 27.5031394958s, input_fired_time: 0.8201454282, output_fired_time: 0.0000000000, propagate_forward_time: 25.1182079315, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5647869110
validation[          , genome 18289] predictions:    9880/  10000 (98.80%), best:    9880/10000 (98.80%), error:       422.74503, best error:       389.58768 on epoch:    55, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 328.2391357422s, input_fired_time: 6.9159984589, output_fired_time: 6.0997142792, propagate_forward_time: 126.8942718506, propagate_backward_time: 180.3254241943, weight_update_time: 0.1885810047, other_time: 8.0037536621
epoch time: 27.7428703308s, input_fired_time: 0.8249683976, output_fired_time: 0.0000000000, propagate_forward_time: 25.3529281616, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5649738312
validation[          , genome 18289] predictions:    9868/  10000 (98.68%), best:    9880/10000 (98.80%), error:       428.70544, best error:       389.58768 on epoch:    55, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 327.4072875977s, input_fired_time: 6.9062447548, output_fired_time: 6.1356587410, propagate_forward_time: 126.4708099365, propagate_backward_time: 179.7867126465, weight_update_time: 0.1868174970, other_time: 8.1078643799
epoch time: 28.1696834564s, input_fired_time: 0.8363294005, output_fired_time: 0.0000000000, propagate_forward_time: 25.7530612946, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5802936554
validation[          , genome 18289] predictions:    9866/  10000 (98.66%), best:    9880/10000 (98.80%), error:       423.31332, best error:       389.58768 on epoch:    55, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 328.3713073730s, input_fired_time: 6.9374475479, output_fired_time: 6.1142883301, propagate_forward_time: 127.0712890625, propagate_backward_time: 180.2402648926, weight_update_time: 0.1880533993, other_time: 8.0080261230
epoch time: 27.7265930176s, input_fired_time: 0.8225479126, output_fired_time: 0.0000000000, propagate_forward_time: 25.3975830078, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5064620972
validation[          , genome 18289] predictions:    9880/  10000 (98.80%), best:    9880/10000 (98.80%), error:       418.70679, best error:       389.58768 on epoch:    55, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 327.9935913086s, input_fired_time: 6.9113278389, output_fired_time: 6.1102576256, propagate_forward_time: 126.9607620239, propagate_backward_time: 179.8380279541, weight_update_time: 0.1857875586, other_time: 8.1732330322
epoch time: 27.7052879333s, input_fired_time: 0.8125255108, output_fired_time: 0.0000000000, propagate_forward_time: 25.3108882904, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5818748474
validation[          , genome 18289] predictions:    9884/  10000 (98.84%), best:    9880/10000 (98.80%), error:       399.83109, best error:       389.58768 on epoch:    55, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 328.9618225098s, input_fired_time: 6.9238538742, output_fired_time: 6.1395087242, propagate_forward_time: 127.3006820679, propagate_backward_time: 180.5643768311, weight_update_time: 0.1867572665, other_time: 8.0334014893
epoch time: 27.7557487488s, input_fired_time: 0.8272910714, output_fired_time: 0.0000000000, propagate_forward_time: 25.3423900604, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5860671997
validation[          , genome 18289] predictions:    9864/  10000 (98.64%), best:    9880/10000 (98.80%), error:       436.13538, best error:       389.58768 on epoch:    55, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 328.6190490723s, input_fired_time: 6.9348936081, output_fired_time: 6.1077194214, propagate_forward_time: 127.0595169067, propagate_backward_time: 180.3680572510, weight_update_time: 0.1869546175, other_time: 8.1488494873
epoch time: 27.8513317108s, input_fired_time: 0.8223508596, output_fired_time: 0.0000000000, propagate_forward_time: 25.4901199341, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5388603210
validation[          , genome 18289] predictions:    9845/  10000 (98.45%), best:    9880/10000 (98.80%), error:       507.99347, best error:       389.58768 on epoch:    55, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 326.8652038574s, input_fired_time: 6.9065198898, output_fired_time: 6.1463751793, propagate_forward_time: 126.2985382080, propagate_backward_time: 179.5037841797, weight_update_time: 0.1870957017, other_time: 8.0099945068
epoch time: 27.5950450897s, input_fired_time: 0.8246543407, output_fired_time: 0.0000000000, propagate_forward_time: 25.2111015320, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5592899323
validation[          , genome 18289] predictions:    9874/  10000 (98.74%), best:    9880/10000 (98.80%), error:       426.77304, best error:       389.58768 on epoch:    55, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 327.9198913574s, input_fired_time: 6.9020042419, output_fired_time: 6.0959124565, propagate_forward_time: 126.6687850952, propagate_backward_time: 180.2817382813, weight_update_time: 0.1872642785, other_time: 7.9714355469
epoch time: 27.5252132416s, input_fired_time: 0.8154116869, output_fired_time: 0.0000000000, propagate_forward_time: 25.1479053497, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5618953705
validation[          , genome 18289] predictions:    9869/  10000 (98.69%), best:    9880/10000 (98.80%), error:       416.24606, best error:       389.58768 on epoch:    55, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 328.3789367676s, input_fired_time: 6.9389905930, output_fired_time: 6.0943937302, propagate_forward_time: 127.3197250366, propagate_backward_time: 180.0371704102, weight_update_time: 0.1878933758, other_time: 7.9886474609
epoch time: 27.1485137939s, input_fired_time: 0.8127588034, output_fired_time: 0.0000000000, propagate_forward_time: 24.8292255402, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5065288544
validation[          , genome 18289] predictions:    9880/  10000 (98.80%), best:    9880/10000 (98.80%), error:       424.55243, best error:       389.58768 on epoch:    55, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 326.6162109375s, input_fired_time: 6.8998289108, output_fired_time: 6.1303424835, propagate_forward_time: 126.0908508301, propagate_backward_time: 179.5197753906, weight_update_time: 0.1855496466, other_time: 7.9754028320
epoch time: 28.2060203552s, input_fired_time: 0.8313221335, output_fired_time: 0.0000000000, propagate_forward_time: 25.8367824554, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5379161835
validation[          , genome 18289] predictions:    9869/  10000 (98.69%), best:    9880/10000 (98.80%), error:       438.71609, best error:       389.58768 on epoch:    55, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 330.4353027344s, input_fired_time: 6.9775013924, output_fired_time: 6.1693024635, propagate_forward_time: 127.9915313721, propagate_backward_time: 181.2649841309, weight_update_time: 0.1898724586, other_time: 8.0319671631
epoch time: 28.2152214050s, input_fired_time: 0.8271049857, output_fired_time: 0.0000000000, propagate_forward_time: 25.7889823914, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5991344452
validation[          , genome 18289] predictions:    9876/  10000 (98.76%), best:    9880/10000 (98.80%), error:       401.34525, best error:       389.58768 on epoch:    55, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 330.6608581543s, input_fired_time: 6.9652967453, output_fired_time: 6.1815104485, propagate_forward_time: 127.8927993774, propagate_backward_time: 181.6310882568, weight_update_time: 0.1895836294, other_time: 7.9901580811
epoch time: 27.9936218262s, input_fired_time: 0.8398564458, output_fired_time: 0.0000000000, propagate_forward_time: 25.6556301117, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4981346130
validation[          , genome 18289] predictions:    9853/  10000 (98.53%), best:    9880/10000 (98.80%), error:       455.13647, best error:       389.58768 on epoch:    55, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 333.6823730469s, input_fired_time: 7.0634346008, output_fired_time: 6.2574172020, propagate_forward_time: 129.3916931152, propagate_backward_time: 183.1991882324, weight_update_time: 0.1939505786, other_time: 7.7706298828
epoch time: 28.0329456329s, input_fired_time: 0.8415942788, output_fired_time: 0.0000000000, propagate_forward_time: 25.7303237915, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4610271454
validation[          , genome 18289] predictions:    9826/  10000 (98.26%), best:    9880/10000 (98.80%), error:       544.12427, best error:       389.58768 on epoch:    55, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 333.1816711426s, input_fired_time: 7.0905652046, output_fired_time: 6.2736544609, propagate_forward_time: 129.1063079834, propagate_backward_time: 183.0990142822, weight_update_time: 0.1926388443, other_time: 7.6121215820
epoch time: 29.3929519653s, input_fired_time: 0.8724913001, output_fired_time: 0.0000000000, propagate_forward_time: 26.9826755524, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5377845764
validation[          , genome 18289] predictions:    9883/  10000 (98.83%), best:    9883/10000 (98.83%), error:       385.14417, best error:       385.14417 on epoch:    72, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 332.5786743164s, input_fired_time: 7.0360097885, output_fired_time: 6.2529063225, propagate_forward_time: 128.8142700195, propagate_backward_time: 182.7762756348, weight_update_time: 0.1908386201, other_time: 7.6992187500
epoch time: 27.8161659241s, input_fired_time: 0.8307862282, output_fired_time: 0.0000000000, propagate_forward_time: 25.4998092651, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4855709076
validation[          , genome 18289] predictions:    9852/  10000 (98.52%), best:    9883/10000 (98.83%), error:       473.19748, best error:       385.14417 on epoch:    72, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 332.7675170898s, input_fired_time: 7.0367288589, output_fired_time: 6.2877159119, propagate_forward_time: 128.7370452881, propagate_backward_time: 182.8180694580, weight_update_time: 0.1912623048, other_time: 7.8879394531
epoch time: 27.3466281891s, input_fired_time: 0.8163738251, output_fired_time: 0.0000000000, propagate_forward_time: 25.0235729218, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5066814423
validation[          , genome 18289] predictions:    9860/  10000 (98.60%), best:    9883/10000 (98.83%), error:       447.61478, best error:       385.14417 on epoch:    72, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 333.2041320801s, input_fired_time: 7.0100932121, output_fired_time: 6.2400646210, propagate_forward_time: 129.2045593262, propagate_backward_time: 182.9381713867, weight_update_time: 0.1915035099, other_time: 7.8112487793
epoch time: 28.8090896606s, input_fired_time: 0.8576866388, output_fired_time: 0.0000000000, propagate_forward_time: 26.5060253143, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4453773499
validation[          , genome 18289] predictions:    9888/  10000 (98.88%), best:    9883/10000 (98.83%), error:       404.47992, best error:       385.14417 on epoch:    72, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 349.2896118164s, input_fired_time: 7.3840575218, output_fired_time: 6.5922670364, propagate_forward_time: 136.6020507813, propagate_backward_time: 191.0122528076, weight_update_time: 0.2038408965, other_time: 7.6989898682
epoch time: 28.9405651093s, input_fired_time: 0.8919296861, output_fired_time: 0.0000000000, propagate_forward_time: 26.6193675995, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4292678833
validation[          , genome 18289] predictions:    9871/  10000 (98.71%), best:    9883/10000 (98.83%), error:       420.99225, best error:       385.14417 on epoch:    72, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

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_1517574602_61_18289.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1517574602_61_18289_1_r1972769024_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.980561
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000240784
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 9.63135e-06
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 77
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 72
read number_validation_images: 10000
read best_validation_predictions: 9883
read best_validation_error: 385.144
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: 18289
read normal distribution: '1 0 0'
generator_str: '1825073248'
read generator: 1825073248
read generated_by_map:
1 crossover 1
reading 69 nodes.
reading 172 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: 328.088928222656s, input_fired_time: 6.93241024017334, output_fired_time: 6.1335563659668, propagate_forward_time: 127.03247833252, propagate_backward_time: 180.061965942383, weight_update_time: 0.188266217708588, other_time: 7.92854309082031
epoch time: 27.5834541320801s, input_fired_time: 0.822658836841583, output_fired_time: 0, propagate_forward_time: 25.2503147125244, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.5104808807373
validation[          , genome 18289] predictions:    9855/  10000 (98.55%), best:    9883/10000 (98.83%), error:       469.72870, best error:       385.14417 on epoch:    72, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 330.8617858887s, input_fired_time: 6.9727067947, output_fired_time: 6.1555414200, propagate_forward_time: 128.3686065674, propagate_backward_time: 181.3558044434, weight_update_time: 0.1901440769, other_time: 8.0091094971
epoch time: 28.1155471802s, input_fired_time: 0.8287603855, output_fired_time: 0.0000000000, propagate_forward_time: 25.7242660522, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5625209808
validation[          , genome 18289] predictions:    9876/  10000 (98.76%), best:    9883/10000 (98.83%), error:       400.16055, best error:       385.14417 on epoch:    72, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 328.8350524902s, input_fired_time: 6.9213800430, output_fired_time: 6.1507253647, propagate_forward_time: 127.1418838501, propagate_backward_time: 180.6184387207, weight_update_time: 0.1885149479, other_time: 8.0026245117
epoch time: 27.7462215424s, input_fired_time: 0.8201213479, output_fired_time: 0.0000000000, propagate_forward_time: 25.3882884979, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5378112793
validation[          , genome 18289] predictions:    9872/  10000 (98.72%), best:    9883/10000 (98.83%), error:       420.87079, best error:       385.14417 on epoch:    72, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 329.2850952148s, input_fired_time: 6.9340338707, output_fired_time: 6.1208910942, propagate_forward_time: 127.3391494751, propagate_backward_time: 180.8867187500, weight_update_time: 0.1892379373, other_time: 8.0043334961
epoch time: 27.7923774719s, input_fired_time: 0.8197014332, output_fired_time: 0.0000000000, propagate_forward_time: 25.4174537659, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5552215576
validation[          , genome 18289] predictions:    9853/  10000 (98.53%), best:    9883/10000 (98.83%), error:       468.86258, best error:       385.14417 on epoch:    72, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 330.2386779785s, input_fired_time: 6.9875688553, output_fired_time: 6.1588501930, propagate_forward_time: 127.9347839355, propagate_backward_time: 181.0729522705, weight_update_time: 0.1938154846, other_time: 8.0845184326
epoch time: 28.1900138855s, input_fired_time: 0.8271898627, output_fired_time: 0.0000000000, propagate_forward_time: 25.7962627411, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5665607452
validation[          , genome 18289] predictions:    9874/  10000 (98.74%), best:    9883/10000 (98.83%), error:       418.97809, best error:       385.14417 on epoch:    72, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 328.2749328613s, input_fired_time: 6.9132213593, output_fired_time: 6.1472311020, propagate_forward_time: 126.7127914429, propagate_backward_time: 180.4845733643, weight_update_time: 0.1898941696, other_time: 8.0171356201
epoch time: 27.5565090179s, input_fired_time: 0.8211532831, output_fired_time: 0.0000000000, propagate_forward_time: 25.1659107208, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5694446564
validation[          , genome 18289] predictions:    9852/  10000 (98.52%), best:    9883/10000 (98.83%), error:       445.72540, best error:       385.14417 on epoch:    72, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 329.1462402344s, input_fired_time: 6.9374208450, output_fired_time: 6.1444435120, propagate_forward_time: 127.6775741577, propagate_backward_time: 180.3413848877, weight_update_time: 0.1856393814, other_time: 8.0454254150
epoch time: 27.9279327393s, input_fired_time: 0.8239398003, output_fired_time: 0.0000000000, propagate_forward_time: 25.5540084839, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5499839783
validation[          , genome 18289] predictions:    9851/  10000 (98.51%), best:    9883/10000 (98.83%), error:       475.92978, best error:       385.14417 on epoch:    72, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 329.5733032227s, input_fired_time: 6.9321289063, output_fired_time: 6.2070875168, propagate_forward_time: 127.0825195313, propagate_backward_time: 181.2463531494, weight_update_time: 0.1879174709, other_time: 8.1052093506
epoch time: 27.6183910370s, input_fired_time: 0.8209233284, output_fired_time: 0.0000000000, propagate_forward_time: 25.2317161560, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5657520294
validation[          , genome 18289] predictions:    9866/  10000 (98.66%), best:    9883/10000 (98.83%), error:       426.99023, best error:       385.14417 on epoch:    72, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 328.8616943359s, input_fired_time: 6.9451618195, output_fired_time: 6.1451191902, propagate_forward_time: 127.1856460571, propagate_backward_time: 180.5382690430, weight_update_time: 0.1887973696, other_time: 8.0475158691
epoch time: 27.8035030365s, input_fired_time: 0.8264135718, output_fired_time: 0.0000000000, propagate_forward_time: 25.4451255798, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5319633484
validation[          , genome 18289] predictions:    9864/  10000 (98.64%), best:    9883/10000 (98.83%), error:       439.84375, best error:       385.14417 on epoch:    72, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 328.3342590332s, input_fired_time: 6.9113817215, output_fired_time: 6.1169219017, propagate_forward_time: 126.5854415894, propagate_backward_time: 180.7042694092, weight_update_time: 0.1893309206, other_time: 8.0162506104
epoch time: 27.7307338715s, input_fired_time: 0.8244109154, output_fired_time: 0.0000000000, propagate_forward_time: 25.3773269653, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5289955139
validation[          , genome 18289] predictions:    9871/  10000 (98.71%), best:    9883/10000 (98.83%), error:       397.56427, best error:       385.14417 on epoch:    72, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 329.4780883789s, input_fired_time: 6.9330339432, output_fired_time: 6.1713008881, propagate_forward_time: 127.4001464844, propagate_backward_time: 180.7859802246, weight_update_time: 0.1902123988, other_time: 8.1876220703
epoch time: 28.1152687073s, input_fired_time: 0.8331222534, output_fired_time: 0.0000000000, propagate_forward_time: 25.7239494324, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5581970215
validation[          , genome 18289] predictions:    9841/  10000 (98.41%), best:    9883/10000 (98.83%), error:       561.60529, best error:       385.14417 on epoch:    72, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 328.5348510742s, input_fired_time: 6.9481868744, output_fired_time: 6.1464366913, propagate_forward_time: 127.1054763794, propagate_backward_time: 180.3098144531, weight_update_time: 0.1891245693, other_time: 8.0249633789
epoch time: 27.9059314728s, input_fired_time: 0.8258243799, output_fired_time: 0.0000000000, propagate_forward_time: 25.6147174835, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4653892517
validation[          , genome 18289] predictions:    9877/  10000 (98.77%), best:    9883/10000 (98.83%), error:       398.38370, best error:       385.14417 on epoch:    72, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 328.5061035156s, input_fired_time: 6.9236803055, output_fired_time: 6.1605448723, propagate_forward_time: 127.1803207397, propagate_backward_time: 180.2827453613, weight_update_time: 0.1887476444, other_time: 7.9588012695
epoch time: 28.5172767639s, input_fired_time: 0.8374833465, output_fired_time: 0.0000000000, propagate_forward_time: 26.0702781677, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6095161438
validation[          , genome 18289] predictions:    9861/  10000 (98.61%), best:    9883/10000 (98.83%), error:       437.88000, best error:       385.14417 on epoch:    72, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 330.4265136719s, input_fired_time: 6.9812717438, output_fired_time: 6.1769242287, propagate_forward_time: 127.9702606201, propagate_backward_time: 181.1993560791, weight_update_time: 0.1880143136, other_time: 8.0987243652
epoch time: 27.7747631073s, input_fired_time: 0.8177145123, output_fired_time: 0.0000000000, propagate_forward_time: 25.4190025330, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5380458832
validation[          , genome 18289] predictions:    9826/  10000 (98.26%), best:    9883/10000 (98.83%), error:       548.25977, best error:       385.14417 on epoch:    72, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 329.8324279785s, input_fired_time: 6.9056744576, output_fired_time: 6.1436219215, propagate_forward_time: 127.7560577393, propagate_backward_time: 180.9491271973, weight_update_time: 0.1898732632, other_time: 8.0779571533
epoch time: 27.5638904572s, input_fired_time: 0.8177055717, output_fired_time: 0.0000000000, propagate_forward_time: 25.1963863373, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5497989655
validation[          , genome 18289] predictions:    9862/  10000 (98.62%), best:    9883/10000 (98.83%), error:       457.58246, best error:       385.14417 on epoch:    72, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 329.6109313965s, input_fired_time: 6.9234089851, output_fired_time: 6.1571793556, propagate_forward_time: 127.2574386597, propagate_backward_time: 181.1893463135, weight_update_time: 0.1903201491, other_time: 8.0835723877
epoch time: 27.6196613312s, input_fired_time: 0.8203414083, output_fired_time: 0.0000000000, propagate_forward_time: 25.2306461334, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5686740875
validation[          , genome 18289] predictions:    9875/  10000 (98.75%), best:    9883/10000 (98.83%), error:       412.10504, best error:       385.14417 on epoch:    72, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 329.4488830566s, input_fired_time: 6.9449167252, output_fired_time: 6.1501393318, propagate_forward_time: 127.5386886597, propagate_backward_time: 180.7021789551, weight_update_time: 0.1877483428, other_time: 8.1129455566
epoch time: 27.7469711304s, input_fired_time: 0.8268088698, output_fired_time: 0.0000000000, propagate_forward_time: 25.4532260895, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4669361115
validation[          , genome 18289] predictions:    9854/  10000 (98.54%), best:    9883/10000 (98.83%), error:       451.91672, best error:       385.14417 on epoch:    72, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 329.2662963867s, input_fired_time: 6.9530863762, output_fired_time: 6.1158585548, propagate_forward_time: 127.8549728394, propagate_backward_time: 180.5460662842, weight_update_time: 0.1879177094, other_time: 7.7963104248
epoch time: 27.4775657654s, input_fired_time: 0.8210690618, output_fired_time: 0.0000000000, propagate_forward_time: 25.1913967133, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4650993347
validation[          , genome 18289] predictions:    9851/  10000 (98.51%), best:    9883/10000 (98.83%), error:       427.03329, best error:       385.14417 on epoch:    72, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 328.3083190918s, input_fired_time: 6.9323568344, output_fired_time: 6.0975413322, propagate_forward_time: 127.1618576050, propagate_backward_time: 180.1753387451, weight_update_time: 0.1874697357, other_time: 7.9412384033
epoch time: 27.7981624603s, input_fired_time: 0.8172129989, output_fired_time: 0.0000000000, propagate_forward_time: 25.4625053406, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5184440613
validation[          , genome 18289] predictions:    9838/  10000 (98.38%), best:    9883/10000 (98.83%), error:       521.97546, best error:       385.14417 on epoch:    72, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 329.1176452637s, input_fired_time: 6.9510426521, output_fired_time: 6.1334075928, propagate_forward_time: 127.3936538696, propagate_backward_time: 180.6142883301, weight_update_time: 0.1910111010, other_time: 8.0252685547
epoch time: 27.7850723267s, input_fired_time: 0.8266046047, output_fired_time: 0.0000000000, propagate_forward_time: 25.4309864044, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5274810791
validation[          , genome 18289] predictions:    9868/  10000 (98.68%), best:    9883/10000 (98.83%), error:       433.71002, best error:       385.14417 on epoch:    72, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 326.9981689453s, input_fired_time: 6.9260120392, output_fired_time: 6.1262779236, propagate_forward_time: 126.0648651123, propagate_backward_time: 179.9221649170, weight_update_time: 0.1872751117, other_time: 7.9588317871
epoch time: 27.6377849579s, input_fired_time: 0.8271195292, output_fired_time: 0.0000000000, propagate_forward_time: 25.3209934235, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4896717072
validation[          , genome 18289] predictions:    9875/  10000 (98.75%), best:    9883/10000 (98.83%), error:       406.88434, best error:       385.14417 on epoch:    72, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 329.0134277344s, input_fired_time: 6.9738059044, output_fired_time: 6.1359920502, propagate_forward_time: 127.6444549561, propagate_backward_time: 180.3661956787, weight_update_time: 0.1869613677, other_time: 7.8929748535
epoch time: 28.3109111786s, input_fired_time: 0.8405375481, output_fired_time: 0.0000000000, propagate_forward_time: 25.9757575989, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4946155548
validation[          , genome 18289] predictions:    9830/  10000 (98.30%), best:    9883/10000 (98.83%), error:       535.19495, best error:       385.14417 on epoch:    72, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 331.5481872559s, input_fired_time: 7.0290331841, output_fired_time: 6.1980075836, propagate_forward_time: 128.5845947266, propagate_backward_time: 181.8079071045, weight_update_time: 0.1899490505, other_time: 7.9286651611
epoch time: 27.6148490906s, input_fired_time: 0.8272607923, output_fired_time: 0.0000000000, propagate_forward_time: 25.2972221375, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4903659821
validation[          , genome 18289] predictions:    9870/  10000 (98.70%), best:    9883/10000 (98.83%), error:       425.12534, best error:       385.14417 on epoch:    72, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 327.8663635254s, input_fired_time: 6.9361305237, output_fired_time: 6.1452660561, propagate_forward_time: 126.5115280151, propagate_backward_time: 180.5211334229, weight_update_time: 0.1887257546, other_time: 7.7523040771
epoch time: 27.7986278534s, input_fired_time: 0.8213133812, output_fired_time: 0.0000000000, propagate_forward_time: 25.5194168091, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4578971863
validation[          , genome 18289] predictions:    9843/  10000 (98.43%), best:    9883/10000 (98.83%), error:       483.21936, best error:       385.14417 on epoch:    72, 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: 138.6698455811s, input_fired_time: 4.1655430794, output_fired_time: 0.0000000000, propagate_forward_time: 126.8553085327, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.6489944458
best training[          , genome 18289] predictions:   49964/  50000 (99.93%), best:    9883/10000 (98.83%), error:       275.67868, best error:       385.14417 on epoch:    72, 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: 27.9102592468s, input_fired_time: 0.8322325945, output_fired_time: 0.0000000000, propagate_forward_time: 25.5534992218, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5245265961
   testing[          , genome 18289] predictions:    9886/  10000 (98.86%), best:    9883/10000 (98.83%), error:       371.97205, best error:       385.14417 on epoch:    72, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
03:17:19 (1292): called boinc_finish(0)

</stderr_txt>
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