Nameexact_genome_1512568488_43_6702_0
Workunit2604768
Created7 Dec 2017, 21:20:07 UTC
Sent7 Dec 2017, 21:28:33 UTC
Report deadline16 Dec 2017, 1:55:59 UTC
Received8 Dec 2017, 9:39:23 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID62687
Run time1 hours 56 min 3 sec
CPU time1 hours 51 min
Validate stateValid
Credit2,046.43
Device peak FLOPS4.32 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size154.78 MB
Peak swap size157.77 MB
Peak disk usage1.88 MB

Stderr output

<core_client_version>7.6.33</core_client_version>
<![CDATA[
<stderr_txt>
0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5043015480
validation[          , genome  6702] predictions:    9674/  10000 (96.74%), best:    9719/10000 (97.19%), error:      1088.06287, best error:       921.48804 on epoch:    18, epoch:   20/100, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 61.8924789429s, input_fired_time: 0.9661369920, output_fired_time: 0.7594295740, propagate_forward_time: 22.1587581635, propagate_backward_time: 35.0789756775, weight_update_time: 0.1599960029, other_time: 2.9291801453
epoch time: 5.1036748886s, input_fired_time: 0.1251234561, output_fired_time: 0.0000000000, propagate_forward_time: 4.4719314575, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5066199303
validation[          , genome  6702] predictions:    9674/  10000 (96.74%), best:    9719/10000 (97.19%), error:      1063.09631, best error:       921.48804 on epoch:    18, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 61.4195175171s, input_fired_time: 0.9533162117, output_fired_time: 0.7461929321, propagate_forward_time: 22.0381870270, propagate_backward_time: 34.8155517578, weight_update_time: 0.1592087746, other_time: 2.8662719727
epoch time: 5.0841922760s, input_fired_time: 0.1340930313, output_fired_time: 0.0000000000, propagate_forward_time: 4.4541621208, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4959373474
validation[          , genome  6702] predictions:    9643/  10000 (96.43%), best:    9719/10000 (97.19%), error:      1112.69385, best error:       921.48804 on epoch:    18, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 62.6944351196s, input_fired_time: 0.9879280329, output_fired_time: 0.7638382316, propagate_forward_time: 22.6129932404, propagate_backward_time: 35.4609642029, weight_update_time: 0.1573134661, other_time: 2.8687095642
epoch time: 5.1442756653s, input_fired_time: 0.1308490187, output_fired_time: 0.0000000000, propagate_forward_time: 4.5213894844, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4920372963
validation[          , genome  6702] predictions:    9711/  10000 (97.11%), best:    9711/10000 (97.11%), error:       920.35486, best error:       920.35486 on epoch:    23, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 62.1202201843s, input_fired_time: 0.9691036940, output_fired_time: 0.7808955908, propagate_forward_time: 22.2496109009, propagate_backward_time: 35.2181205750, weight_update_time: 0.1607630104, other_time: 2.9024887085
epoch time: 5.0964908600s, input_fired_time: 0.1291921884, output_fired_time: 0.0000000000, propagate_forward_time: 4.4498319626, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5174665451
validation[          , genome  6702] predictions:    9694/  10000 (96.94%), best:    9711/10000 (97.11%), error:       977.41180, best error:       920.35486 on epoch:    23, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 62.1949882507s, input_fired_time: 0.9799339771, output_fired_time: 0.7775048018, propagate_forward_time: 22.3589591980, propagate_backward_time: 35.1519622803, weight_update_time: 0.1622732878, other_time: 2.9266281128
epoch time: 5.1040482521s, input_fired_time: 0.1289853752, output_fired_time: 0.0000000000, propagate_forward_time: 4.4745235443, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5005393028
validation[          , genome  6702] predictions:    9668/  10000 (96.68%), best:    9711/10000 (97.11%), error:      1121.29602, best error:       920.35486 on epoch:    23, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 61.9663238525s, input_fired_time: 0.9851920009, output_fired_time: 0.7638122439, propagate_forward_time: 22.2689018250, propagate_backward_time: 35.0220108032, weight_update_time: 0.1599898338, other_time: 2.9264068604
epoch time: 5.0637702942s, input_fired_time: 0.1279229224, output_fired_time: 0.0000000000, propagate_forward_time: 4.4441428185, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4917044640
validation[          , genome  6702] predictions:    9691/  10000 (96.91%), best:    9711/10000 (97.11%), error:       963.61072, best error:       920.35486 on epoch:    23, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 62.1822128296s, input_fired_time: 0.9756576419, output_fired_time: 0.7732256055, propagate_forward_time: 22.3286304474, propagate_backward_time: 35.2528266907, weight_update_time: 0.1547145545, other_time: 2.8518714905
epoch time: 5.1240382195s, input_fired_time: 0.1314325184, output_fired_time: 0.0000000000, propagate_forward_time: 4.4805316925, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5120739937
validation[          , genome  6702] predictions:    9643/  10000 (96.43%), best:    9711/10000 (97.11%), error:      1122.27771, best error:       920.35486 on epoch:    23, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 59.9881591797s, input_fired_time: 0.8540670276, output_fired_time: 0.6700594425, propagate_forward_time: 21.7403640747, propagate_backward_time: 34.2753715515, weight_update_time: 0.1329873800, other_time: 2.4482955933
epoch time: 5.0769104958s, input_fired_time: 0.1317718476, output_fired_time: 0.0000000000, propagate_forward_time: 4.4438786507, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5012598038
validation[          , genome  6702] predictions:    9680/  10000 (96.80%), best:    9711/10000 (97.11%), error:      1067.88232, best error:       920.35486 on epoch:    23, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 61.9278984070s, input_fired_time: 0.9844290018, output_fired_time: 0.7778186798, propagate_forward_time: 22.2768802643, propagate_backward_time: 35.0419235229, weight_update_time: 0.1572167426, other_time: 2.8468475342
epoch time: 5.1286959648s, input_fired_time: 0.1320284009, output_fired_time: 0.0000000000, propagate_forward_time: 4.4780821800, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5185852051
validation[          , genome  6702] predictions:    9709/  10000 (97.09%), best:    9711/10000 (97.11%), error:       962.80774, best error:       920.35486 on epoch:    23, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 62.1723518372s, input_fired_time: 0.9802938700, output_fired_time: 0.8109295368, propagate_forward_time: 22.3159389496, propagate_backward_time: 35.1994285583, weight_update_time: 0.1827414930, other_time: 2.8657646179
epoch time: 5.1275448799s, input_fired_time: 0.1325799227, output_fired_time: 0.0000000000, propagate_forward_time: 4.4747962952, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5201687813
validation[          , genome  6702] predictions:    9711/  10000 (97.11%), best:    9711/10000 (97.11%), error:       946.03229, best error:       920.35486 on epoch:    23, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 63.1319427490s, input_fired_time: 1.0151585340, output_fired_time: 0.8080561757, propagate_forward_time: 22.6140804291, propagate_backward_time: 35.7195625305, weight_update_time: 0.1655265540, other_time: 2.9750862122
epoch time: 5.2182955742s, input_fired_time: 0.1359178126, output_fired_time: 0.0000000000, propagate_forward_time: 4.5667352676, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5156426430
validation[          , genome  6702] predictions:    9619/  10000 (96.19%), best:    9711/10000 (97.11%), error:      1183.14441, best error:       920.35486 on epoch:    23, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 63.1456413269s, input_fired_time: 1.0174616575, output_fired_time: 0.8276537061, propagate_forward_time: 22.6359157562, propagate_backward_time: 35.7392349243, weight_update_time: 0.1596709937, other_time: 2.9253768921
epoch time: 5.0971727371s, input_fired_time: 0.1330031455, output_fired_time: 0.0000000000, propagate_forward_time: 4.4579038620, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5062656403
validation[          , genome  6702] predictions:    9689/  10000 (96.89%), best:    9711/10000 (97.11%), error:       994.30090, best error:       920.35486 on epoch:    23, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 61.9749336243s, input_fired_time: 0.9630652666, output_fired_time: 0.7820068002, propagate_forward_time: 22.2395839691, propagate_backward_time: 35.1657295227, weight_update_time: 0.1536486447, other_time: 2.8245506287
epoch time: 5.0969614983s, input_fired_time: 0.1326560676, output_fired_time: 0.0000000000, propagate_forward_time: 4.4537458420, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5105595589
validation[          , genome  6702] predictions:    9723/  10000 (97.23%), best:    9723/10000 (97.23%), error:       898.64075, best error:       898.64075 on epoch:    33, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 61.7567214966s, input_fired_time: 0.9663937688, output_fired_time: 0.7761998177, propagate_forward_time: 22.1792697906, propagate_backward_time: 34.9810295105, weight_update_time: 0.1561552137, other_time: 2.8538322449
epoch time: 5.0774931908s, input_fired_time: 0.1314903796, output_fired_time: 0.0000000000, propagate_forward_time: 4.4482221603, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4977807999
validation[          , genome  6702] predictions:    9741/  10000 (97.41%), best:    9741/10000 (97.41%), error:       850.28687, best error:       850.28687 on epoch:    34, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 61.9292602539s, input_fired_time: 0.9731020927, output_fired_time: 0.7563310862, propagate_forward_time: 22.3041324615, propagate_backward_time: 35.0135803223, weight_update_time: 0.1589040458, other_time: 2.8821105957
epoch time: 5.0961289406s, input_fired_time: 0.1322585493, output_fired_time: 0.0000000000, propagate_forward_time: 4.4489903450, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5148801804
validation[          , genome  6702] predictions:    9724/  10000 (97.24%), best:    9741/10000 (97.41%), error:       934.93890, best error:       850.28687 on epoch:    34, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 62.2027854919s, input_fired_time: 0.9757890701, output_fired_time: 0.7750511169, propagate_forward_time: 22.3773422241, propagate_backward_time: 35.1303215027, weight_update_time: 0.1624241769, other_time: 2.9442825317
epoch time: 5.1072630882s, input_fired_time: 0.1318865418, output_fired_time: 0.0000000000, propagate_forward_time: 4.4672169685, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5081596375
validation[          , genome  6702] predictions:    9724/  10000 (97.24%), best:    9741/10000 (97.41%), error:       943.30280, best error:       850.28687 on epoch:    34, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 61.9910888672s, input_fired_time: 0.9851040244, output_fired_time: 0.7605934739, propagate_forward_time: 22.2852153778, propagate_backward_time: 35.1357498169, weight_update_time: 0.1616210788, other_time: 2.8244247437
epoch time: 5.1399774551s, input_fired_time: 0.1308372170, output_fired_time: 0.0000000000, propagate_forward_time: 4.4805431366, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5285968781
validation[          , genome  6702] predictions:    9696/  10000 (96.96%), best:    9741/10000 (97.41%), error:       954.46094, best error:       850.28687 on epoch:    34, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 60.9738883972s, input_fired_time: 0.8932498097, output_fired_time: 0.7106853127, propagate_forward_time: 22.0758323669, propagate_backward_time: 34.7527999878, weight_update_time: 0.1371580064, other_time: 2.5413208008
epoch time: 4.4814605713s, input_fired_time: 0.0750381574, output_fired_time: 0.0000000000, propagate_forward_time: 4.1251935959, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2812290192
validation[          , genome  6702] predictions:    9741/  10000 (97.41%), best:    9741/10000 (97.41%), error:       857.50708, best error:       850.28687 on epoch:    34, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 55.3324203491s, input_fired_time: 0.5990272760, output_fired_time: 0.4767247438, propagate_forward_time: 20.4924907684, propagate_backward_time: 32.2785797119, weight_update_time: 0.0793072730, other_time: 1.4855957031
epoch time: 4.4637322426s, input_fired_time: 0.0704219490, output_fired_time: 0.0000000000, propagate_forward_time: 4.1308765411, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2624335289
validation[          , genome  6702] predictions:    9718/  10000 (97.18%), best:    9741/10000 (97.41%), error:       911.25867, best error:       850.28687 on epoch:    34, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 58.7447319031s, input_fired_time: 0.7660407424, output_fired_time: 0.5979190469, propagate_forward_time: 21.5307464600, propagate_backward_time: 33.7891426086, weight_update_time: 0.1117788702, other_time: 2.0608825684
epoch time: 4.7364740372s, input_fired_time: 0.0976136401, output_fired_time: 0.0000000000, propagate_forward_time: 4.2665162086, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3723440170
validation[          , genome  6702] predictions:    9738/  10000 (97.38%), best:    9741/10000 (97.41%), error:       892.86127, best error:       850.28687 on epoch:    34, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 59.0847663879s, input_fired_time: 0.7801314592, output_fired_time: 0.6102401018, propagate_forward_time: 21.6034870148, propagate_backward_time: 34.0606880188, weight_update_time: 0.1099363193, other_time: 2.0302162170
epoch time: 4.9481396675s, input_fired_time: 0.1176993921, output_fired_time: 0.0000000000, propagate_forward_time: 4.4065527916, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4238872528
validation[          , genome  6702] predictions:    9716/  10000 (97.16%), best:    9741/10000 (97.41%), error:       950.57886, best error:       850.28687 on epoch:    34, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 55.4359130859s, input_fired_time: 0.6005218625, output_fired_time: 0.4809499383, propagate_forward_time: 20.5718173981, propagate_backward_time: 32.2950134277, weight_update_time: 0.0794310644, other_time: 1.4876098633
epoch time: 4.4580907822s, input_fired_time: 0.0704854578, output_fired_time: 0.0000000000, propagate_forward_time: 4.1256093979, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2619957924
validation[          , genome  6702] predictions:    9708/  10000 (97.08%), best:    9741/10000 (97.41%), error:       946.26868, best error:       850.28687 on epoch:    34, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 62.3580284119s, input_fired_time: 0.8454257250, output_fired_time: 0.6270082593, propagate_forward_time: 22.8132839203, propagate_backward_time: 35.8804664612, weight_update_time: 0.1164003089, other_time: 2.1918449402
epoch time: 5.0213155746s, input_fired_time: 0.1193422005, output_fired_time: 0.0000000000, propagate_forward_time: 4.4243297577, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4776434898
validation[          , genome  6702] predictions:    9723/  10000 (97.23%), best:    9741/10000 (97.41%), error:       866.20685, best error:       850.28687 on epoch:    34, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 61.4636344910s, input_fired_time: 0.9192346931, output_fired_time: 0.7382615805, propagate_forward_time: 22.1052131653, propagate_backward_time: 34.9232254028, weight_update_time: 0.1547127068, other_time: 2.7776985168
epoch time: 4.9927668571s, input_fired_time: 0.1219361126, output_fired_time: 0.0000000000, propagate_forward_time: 4.4195032120, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4513273239
validation[          , genome  6702] predictions:    9742/  10000 (97.42%), best:    9742/10000 (97.42%), error:       820.95551, best error:       820.95551 on epoch:    44, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 62.8599586487s, input_fired_time: 1.0070329905, output_fired_time: 0.7771800160, propagate_forward_time: 22.6414546967, propagate_backward_time: 35.4704475403, weight_update_time: 0.1565913260, other_time: 2.9638404846
epoch time: 5.0085887909s, input_fired_time: 0.1218751445, output_fired_time: 0.0000000000, propagate_forward_time: 4.4284830093, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4582304955
validation[          , genome  6702] predictions:    9744/  10000 (97.44%), best:    9742/10000 (97.42%), error:       857.49030, best error:       820.95551 on epoch:    44, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 61.2444076538s, input_fired_time: 0.9115428925, output_fired_time: 0.7142689228, propagate_forward_time: 22.0436306000, propagate_backward_time: 34.8537788391, weight_update_time: 0.1530789286, other_time: 2.7211875916
epoch time: 4.9500999451s, input_fired_time: 0.1186156198, output_fired_time: 0.0000000000, propagate_forward_time: 4.3793101311, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4521741867
validation[          , genome  6702] predictions:    9740/  10000 (97.40%), best:    9740/10000 (97.40%), error:       815.50415, best error:       815.50415 on epoch:    46, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 62.6369514465s, input_fired_time: 1.0151584148, output_fired_time: 0.8125011325, propagate_forward_time: 22.4442501068, propagate_backward_time: 35.3940162659, weight_update_time: 0.1620254666, other_time: 2.9710273743
epoch time: 5.5172247887s, input_fired_time: 0.1766798645, output_fired_time: 0.0000000000, propagate_forward_time: 4.6686315536, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6719131470
validation[          , genome  6702] predictions:    9741/  10000 (97.41%), best:    9740/10000 (97.40%), error:       837.59058, best error:       815.50415 on epoch:    46, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 62.3971443176s, input_fired_time: 1.0020190477, output_fired_time: 0.7906881571, propagate_forward_time: 22.3842201233, propagate_backward_time: 35.1829795837, weight_update_time: 0.1672586650, other_time: 3.0372390747
epoch time: 4.9799189568s, input_fired_time: 0.1166070923, output_fired_time: 0.0000000000, propagate_forward_time: 4.4033827782, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4599289894
validation[          , genome  6702] predictions:    9692/  10000 (96.92%), best:    9740/10000 (97.40%), error:      1050.97461, best error:       815.50415 on epoch:    46, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 61.5485992432s, input_fired_time: 0.9267703891, output_fired_time: 0.7352918386, propagate_forward_time: 22.1611061096, propagate_backward_time: 35.0159416199, weight_update_time: 0.1494751126, other_time: 2.7094917297
epoch time: 4.9876728058s, input_fired_time: 0.1207934022, output_fired_time: 0.0000000000, propagate_forward_time: 4.4023599625, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4645195007
validation[          , genome  6702] predictions:    9686/  10000 (96.86%), best:    9740/10000 (97.40%), error:      1029.75183, best error:       815.50415 on epoch:    46, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 62.5319328308s, input_fired_time: 1.0295621157, output_fired_time: 0.7930116653, propagate_forward_time: 22.4103374481, propagate_backward_time: 35.3475990295, weight_update_time: 0.1637593508, other_time: 2.9514198303
epoch time: 5.0001101494s, input_fired_time: 0.1222412139, output_fired_time: 0.0000000000, propagate_forward_time: 4.4082231522, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4696459770
validation[          , genome  6702] predictions:    9678/  10000 (96.78%), best:    9740/10000 (97.40%), error:      1066.93994, best error:       815.50415 on epoch:    46, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 61.8477249146s, input_fired_time: 0.9335237741, output_fired_time: 0.7407028675, propagate_forward_time: 22.2062606812, propagate_backward_time: 35.1912879944, weight_update_time: 0.1527482718, other_time: 2.7759475708
epoch time: 5.0174150467s, input_fired_time: 0.1198877394, output_fired_time: 0.0000000000, propagate_forward_time: 4.4281854630, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4693417549
validation[          , genome  6702] predictions:    9692/  10000 (96.92%), best:    9740/10000 (97.40%), error:       984.29395, best error:       815.50415 on epoch:    46, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 64.3772430420s, input_fired_time: 1.1478234529, output_fired_time: 0.8939282298, propagate_forward_time: 22.8382301331, propagate_backward_time: 36.0074310303, weight_update_time: 0.1839466393, other_time: 3.4898300171
epoch time: 4.8864059448s, input_fired_time: 0.1135733724, output_fired_time: 0.0000000000, propagate_forward_time: 4.3221983910, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4506340027
validation[          , genome  6702] predictions:    9699/  10000 (96.99%), best:    9740/10000 (97.40%), error:       964.33502, best error:       815.50415 on epoch:    46, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 61.2320289612s, input_fired_time: 0.9273121953, output_fired_time: 0.7310502529, propagate_forward_time: 22.0490570068, propagate_backward_time: 34.8394050598, weight_update_time: 0.1477464288, other_time: 2.6852073669
epoch time: 4.9415712357s, input_fired_time: 0.1189798564, output_fired_time: 0.0000000000, propagate_forward_time: 4.3690695763, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4535217285
validation[          , genome  6702] predictions:    9743/  10000 (97.43%), best:    9743/10000 (97.43%), error:       806.57941, best error:       806.57941 on epoch:    53, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_6702.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_6702_0_r1430910923_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: 0.959291
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000783401
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.13361e-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: 54
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 53
read number_validation_images: 10000
read best_validation_predictions: 9743
read best_validation_error: 806.579
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: 6702
read normal distribution: '1 0 0'
generator_str: '1196126454'
read generator: 1196126454
read generated_by_map:
1 disable_edge 1
reading 21 nodes.
reading 48 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: 61.5832672119141s, input_fired_time: 0.908610701560974, output_fired_time: 0.719243943691254, propagate_forward_time: 22.2628974914551, propagate_backward_time: 35.1068382263184, weight_update_time: 0.14550369977951, other_time: 2.58567810058594
epoch time: 6.29337596893311s, input_fired_time: 0.237122148275375, output_fired_time: 0, propagate_forward_time: 5.14395380020142, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.912300109863281
validation[          , genome  6702] predictions:    9648/  10000 (96.48%), best:    9743/10000 (97.43%), error:      1161.92773, best error:       806.57941 on epoch:    53, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 65.6793823242s, input_fired_time: 1.0293079615, output_fired_time: 0.8762083054, propagate_forward_time: 23.4558868408, propagate_backward_time: 37.5958709717, weight_update_time: 0.1495500654, other_time: 2.7221107483
epoch time: 5.4754915237s, input_fired_time: 0.1629725546, output_fired_time: 0.0000000000, propagate_forward_time: 4.7556123734, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5569067001
validation[          , genome  6702] predictions:    9688/  10000 (96.88%), best:    9743/10000 (97.43%), error:      1009.66022, best error:       806.57941 on epoch:    53, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 62.4494094849s, input_fired_time: 0.9636623859, output_fired_time: 0.7813315392, propagate_forward_time: 22.5811100006, propagate_backward_time: 35.4987335205, weight_update_time: 0.1442487091, other_time: 2.6245727539
epoch time: 6.5003843307s, input_fired_time: 0.2752442956, output_fired_time: 0.0000000000, propagate_forward_time: 5.1794004440, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0457396507
validation[          , genome  6702] predictions:    9743/  10000 (97.43%), best:    9743/10000 (97.43%), error:       843.76862, best error:       806.57941 on epoch:    53, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 64.1213150024s, input_fired_time: 1.0633616447, output_fired_time: 0.8684790134, propagate_forward_time: 23.0186405182, propagate_backward_time: 36.2131614685, weight_update_time: 0.1642746776, other_time: 2.9576683044
epoch time: 5.0364665985s, input_fired_time: 0.1195956543, output_fired_time: 0.0000000000, propagate_forward_time: 4.4677133560, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4491577148
validation[          , genome  6702] predictions:    9732/  10000 (97.32%), best:    9743/10000 (97.43%), error:       844.87122, best error:       806.57941 on epoch:    53, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 62.6971435547s, input_fired_time: 0.9500469565, output_fired_time: 0.7796307802, propagate_forward_time: 22.6877746582, propagate_backward_time: 35.6669464111, weight_update_time: 0.1457438320, other_time: 2.6127433777
epoch time: 5.0866336823s, input_fired_time: 0.1208895519, output_fired_time: 0.0000000000, propagate_forward_time: 4.5088214874, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4569225311
validation[          , genome  6702] predictions:    9725/  10000 (97.25%), best:    9743/10000 (97.43%), error:       855.81482, best error:       806.57941 on epoch:    53, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 63.9733848572s, input_fired_time: 1.0252571106, output_fired_time: 0.8233577609, propagate_forward_time: 23.0014305115, propagate_backward_time: 36.3214797974, weight_update_time: 0.1531737000, other_time: 2.8018608093
epoch time: 5.3598670959s, input_fired_time: 0.1367123723, output_fired_time: 0.0000000000, propagate_forward_time: 4.7403564453, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4827980995
validation[          , genome  6702] predictions:    9756/  10000 (97.56%), best:    9756/10000 (97.56%), error:       798.79688, best error:       798.79688 on epoch:    59, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 65.8998260498s, input_fired_time: 1.0459476709, output_fired_time: 0.9037532210, propagate_forward_time: 23.4558486938, propagate_backward_time: 37.7007484436, weight_update_time: 0.1534934789, other_time: 2.7935333252
epoch time: 5.3701634407s, input_fired_time: 0.1374152750, output_fired_time: 0.0000000000, propagate_forward_time: 4.7463908195, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4863572121
validation[          , genome  6702] predictions:    9740/  10000 (97.40%), best:    9756/10000 (97.56%), error:       815.42157, best error:       798.79688 on epoch:    59, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 68.6578826904s, input_fired_time: 1.2073915005, output_fired_time: 1.0286082029, propagate_forward_time: 24.1729087830, propagate_backward_time: 38.8194656372, weight_update_time: 0.1790398806, other_time: 3.4295082092
epoch time: 5.0602574348s, input_fired_time: 0.1232287064, output_fired_time: 0.0000000000, propagate_forward_time: 4.4807724953, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4562563896
validation[          , genome  6702] predictions:    9714/  10000 (97.14%), best:    9756/10000 (97.56%), error:       915.55042, best error:       798.79688 on epoch:    59, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 62.7059707642s, input_fired_time: 0.9658381343, output_fired_time: 0.7704228163, propagate_forward_time: 22.6562976837, propagate_backward_time: 35.6727027893, weight_update_time: 0.1465891600, other_time: 2.6407051086
epoch time: 5.0942587852s, input_fired_time: 0.1250323206, output_fired_time: 0.0000000000, propagate_forward_time: 4.5095682144, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4596581459
validation[          , genome  6702] predictions:    9740/  10000 (97.40%), best:    9756/10000 (97.56%), error:       872.98004, best error:       798.79688 on epoch:    59, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 64.4531555176s, input_fired_time: 1.0444980860, output_fired_time: 0.8369718790, propagate_forward_time: 23.1259059906, propagate_backward_time: 36.5823860168, weight_update_time: 0.1582165360, other_time: 2.8633918762
epoch time: 5.5098266602s, input_fired_time: 0.1479452401, output_fired_time: 0.0000000000, propagate_forward_time: 4.8750805855, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4868006706
validation[          , genome  6702] predictions:    9719/  10000 (97.19%), best:    9756/10000 (97.56%), error:       893.46143, best error:       798.79688 on epoch:    59, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 64.6367950439s, input_fired_time: 1.0035766363, output_fired_time: 0.8473787308, propagate_forward_time: 23.2250652313, propagate_backward_time: 36.8549575806, weight_update_time: 0.1484434307, other_time: 2.7058181763
epoch time: 5.2044754028s, input_fired_time: 0.1285835505, output_fired_time: 0.0000000000, propagate_forward_time: 4.6063790321, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4695129395
validation[          , genome  6702] predictions:    9705/  10000 (97.05%), best:    9756/10000 (97.56%), error:       915.99622, best error:       798.79688 on epoch:    59, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 67.3117370605s, input_fired_time: 1.1990207434, output_fired_time: 0.9781908393, propagate_forward_time: 23.8370990753, propagate_backward_time: 37.8811378479, weight_update_time: 0.1851627231, other_time: 3.4162940979
epoch time: 5.5258212090s, input_fired_time: 0.1407625079, output_fired_time: 0.0000000000, propagate_forward_time: 4.8908171654, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4942417145
validation[          , genome  6702] predictions:    9687/  10000 (96.87%), best:    9756/10000 (97.56%), error:      1005.90826, best error:       798.79688 on epoch:    59, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 68.2416839600s, input_fired_time: 1.0865088701, output_fired_time: 0.9703587294, propagate_forward_time: 24.0818576813, propagate_backward_time: 39.2497291565, weight_update_time: 0.1548616290, other_time: 2.8532295227
epoch time: 5.3729076385s, input_fired_time: 0.1385825723, output_fired_time: 0.0000000000, propagate_forward_time: 4.7529382706, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4813866615
validation[          , genome  6702] predictions:    9725/  10000 (97.25%), best:    9756/10000 (97.56%), error:       853.49487, best error:       798.79688 on epoch:    59, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 68.7403259277s, input_fired_time: 1.1364704370, output_fired_time: 1.0047476292, propagate_forward_time: 24.2928295135, propagate_backward_time: 39.2457656860, weight_update_time: 0.1635452360, other_time: 3.0605163574
epoch time: 5.5390791893s, input_fired_time: 0.1487660408, output_fired_time: 0.0000000000, propagate_forward_time: 4.8613333702, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5289797783
validation[          , genome  6702] predictions:    9733/  10000 (97.33%), best:    9756/10000 (97.56%), error:       850.66577, best error:       798.79688 on epoch:    59, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 67.5789642334s, input_fired_time: 1.0768841505, output_fired_time: 0.9498541355, propagate_forward_time: 24.0191478729, propagate_backward_time: 38.7069435120, weight_update_time: 0.1510693580, other_time: 2.8261375427
epoch time: 5.4229712486s, input_fired_time: 0.1401781440, output_fired_time: 0.0000000000, propagate_forward_time: 4.7997465134, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4830465317
validation[          , genome  6702] predictions:    9719/  10000 (97.19%), best:    9756/10000 (97.56%), error:       918.01123, best error:       798.79688 on epoch:    59, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 70.8871536255s, input_fired_time: 1.2597415447, output_fired_time: 1.1129149199, propagate_forward_time: 24.8623218536, propagate_backward_time: 40.2518882751, weight_update_time: 0.1827578694, other_time: 3.4002876282
epoch time: 5.3546991348s, input_fired_time: 0.1334199160, output_fired_time: 0.0000000000, propagate_forward_time: 4.7503700256, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4709091187
validation[          , genome  6702] predictions:    9768/  10000 (97.68%), best:    9768/10000 (97.68%), error:       770.46326, best error:       770.46326 on epoch:    69, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 68.6253204346s, input_fired_time: 1.0957664251, output_fired_time: 0.9959840775, propagate_forward_time: 24.2560901642, propagate_backward_time: 39.4862709045, weight_update_time: 0.1493490636, other_time: 2.7912101746
epoch time: 5.5454497337s, input_fired_time: 0.1407721937, output_fired_time: 0.0000000000, propagate_forward_time: 4.8944039345, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5102734566
validation[          , genome  6702] predictions:    9733/  10000 (97.33%), best:    9768/10000 (97.68%), error:       853.37372, best error:       770.46326 on epoch:    69, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 66.4741058350s, input_fired_time: 1.0552399158, output_fired_time: 0.8848136663, propagate_forward_time: 23.7465133667, propagate_backward_time: 38.0256919861, weight_update_time: 0.1543289572, other_time: 2.7618522644
epoch time: 5.0852208138s, input_fired_time: 0.1268237680, output_fired_time: 0.0000000000, propagate_forward_time: 4.5379619598, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4204349518
validation[          , genome  6702] predictions:    9736/  10000 (97.36%), best:    9768/10000 (97.68%), error:       868.93274, best error:       770.46326 on epoch:    69, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 65.7445068359s, input_fired_time: 1.1620872021, output_fired_time: 0.9191269875, propagate_forward_time: 23.4066886902, propagate_backward_time: 37.0804862976, weight_update_time: 0.1679454744, other_time: 3.1761169434
epoch time: 5.9630246162s, input_fired_time: 0.2020847201, output_fired_time: 0.0000000000, propagate_forward_time: 5.0186758041, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7422642708
validation[          , genome  6702] predictions:    9749/  10000 (97.49%), best:    9768/10000 (97.68%), error:       838.42133, best error:       770.46326 on epoch:    69, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 65.8465881348s, input_fired_time: 1.1176326275, output_fired_time: 0.9005008936, propagate_forward_time: 23.4366474152, propagate_backward_time: 37.2961616516, weight_update_time: 0.1634554118, other_time: 3.0956459045
epoch time: 4.9586496353s, input_fired_time: 0.1034393758, output_fired_time: 0.0000000000, propagate_forward_time: 4.4989776611, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3562326431
validation[          , genome  6702] predictions:    9710/  10000 (97.10%), best:    9768/10000 (97.68%), error:       961.44373, best error:       770.46326 on epoch:    69, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 63.3775444031s, input_fired_time: 0.9468223453, output_fired_time: 0.7789590359, propagate_forward_time: 22.8578205109, propagate_backward_time: 36.2804908752, weight_update_time: 0.1344633549, other_time: 2.5134544373
epoch time: 5.8191404343s, input_fired_time: 0.1738859564, output_fired_time: 0.0000000000, propagate_forward_time: 5.0263481140, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6189064980
validation[          , genome  6702] predictions:    9730/  10000 (97.30%), best:    9768/10000 (97.68%), error:       898.84558, best error:       770.46326 on epoch:    69, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 65.3733978271s, input_fired_time: 1.1011992693, output_fired_time: 0.8964483142, propagate_forward_time: 23.3387832642, propagate_backward_time: 36.9641304016, weight_update_time: 0.1638114452, other_time: 3.0728378296
epoch time: 4.9611310959s, input_fired_time: 0.1029407904, output_fired_time: 0.0000000000, propagate_forward_time: 4.5013995171, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3567910194
validation[          , genome  6702] predictions:    9734/  10000 (97.34%), best:    9768/10000 (97.68%), error:       873.05664, best error:       770.46326 on epoch:    69, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 64.8647842407s, input_fired_time: 1.0168771744, output_fired_time: 0.8401223421, propagate_forward_time: 23.2570419312, propagate_backward_time: 37.0697441101, weight_update_time: 0.1422755569, other_time: 2.6809997559
epoch time: 7.3112735748s, input_fired_time: 0.2850619555, output_fired_time: 0.0000000000, propagate_forward_time: 5.9025630951, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1236486435
validation[          , genome  6702] predictions:    9747/  10000 (97.47%), best:    9768/10000 (97.68%), error:       855.38513, best error:       770.46326 on epoch:    69, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 67.2109451294s, input_fired_time: 1.1205805540, output_fired_time: 0.9260197878, propagate_forward_time: 23.9186973572, propagate_backward_time: 38.2008171082, weight_update_time: 0.1640752405, other_time: 3.0448303223
epoch time: 5.2052268982s, input_fired_time: 0.1237418652, output_fired_time: 0.0000000000, propagate_forward_time: 4.6588835716, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4226012230
validation[          , genome  6702] predictions:    9749/  10000 (97.49%), best:    9768/10000 (97.68%), error:       787.19708, best error:       770.46326 on epoch:    69, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 66.4694747925s, input_fired_time: 1.1214576960, output_fired_time: 0.9248426557, propagate_forward_time: 23.6169681549, propagate_backward_time: 37.7122497559, weight_update_time: 0.1623156667, other_time: 3.0939559937
epoch time: 5.0300927162s, input_fired_time: 0.1178971678, output_fired_time: 0.0000000000, propagate_forward_time: 4.5039515495, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4082441330
validation[          , genome  6702] predictions:    9690/  10000 (96.90%), best:    9768/10000 (97.68%), error:       955.13013, best error:       770.46326 on epoch:    69, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 62.8608818054s, input_fired_time: 0.9462415576, output_fired_time: 0.7474156022, propagate_forward_time: 22.7294635773, propagate_backward_time: 35.8622741699, weight_update_time: 0.1366254687, other_time: 2.5754852295
epoch time: 4.9304261208s, input_fired_time: 0.1071395576, output_fired_time: 0.0000000000, propagate_forward_time: 4.4507956505, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3724908829
validation[          , genome  6702] predictions:    9748/  10000 (97.48%), best:    9768/10000 (97.68%), error:       835.30847, best error:       770.46326 on epoch:    69, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 64.6005172729s, input_fired_time: 1.0643354654, output_fired_time: 0.8648997545, propagate_forward_time: 23.0751476288, propagate_backward_time: 36.5511779785, weight_update_time: 0.1629395485, other_time: 3.0449600220
epoch time: 5.7843666077s, input_fired_time: 0.1849835515, output_fired_time: 0.0000000000, propagate_forward_time: 4.8702330589, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7291498184
validation[          , genome  6702] predictions:    9726/  10000 (97.26%), best:    9768/10000 (97.68%), error:       943.61292, best error:       770.46326 on epoch:    69, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 64.5627441406s, input_fired_time: 1.0719803572, output_fired_time: 0.8461254239, propagate_forward_time: 23.1173019409, propagate_backward_time: 36.4850082397, weight_update_time: 0.1592953950, other_time: 3.0423278809
epoch time: 5.9312615395s, input_fired_time: 0.2013071030, output_fired_time: 0.0000000000, propagate_forward_time: 4.9860396385, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7439146042
validation[          , genome  6702] predictions:    9736/  10000 (97.36%), best:    9768/10000 (97.68%), error:       846.23145, best error:       770.46326 on epoch:    69, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 62.2218894958s, input_fired_time: 0.9092980027, output_fired_time: 0.7238045335, propagate_forward_time: 22.6088943481, propagate_backward_time: 35.4870223999, weight_update_time: 0.1327643543, other_time: 2.4928703308
epoch time: 4.8343653679s, input_fired_time: 0.0950959250, output_fired_time: 0.0000000000, propagate_forward_time: 4.3898258209, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3494434357
validation[          , genome  6702] predictions:    9753/  10000 (97.53%), best:    9768/10000 (97.68%), error:       828.64099, best error:       770.46326 on epoch:    69, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 64.3860549927s, input_fired_time: 1.0499917269, output_fired_time: 0.8568468094, propagate_forward_time: 23.0806770325, propagate_backward_time: 36.3414230347, weight_update_time: 0.1592215002, other_time: 3.0571174622
epoch time: 5.6844558716s, input_fired_time: 0.1652738005, output_fired_time: 0.0000000000, propagate_forward_time: 4.9285182953, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5906639099
validation[          , genome  6702] predictions:    9743/  10000 (97.43%), best:    9768/10000 (97.68%), error:       823.28979, best error:       770.46326 on epoch:    69, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 62.9089126587s, input_fired_time: 0.9362034798, output_fired_time: 0.7335988879, propagate_forward_time: 22.7366333008, propagate_backward_time: 35.9318656921, weight_update_time: 0.1364189535, other_time: 2.5706100464
epoch time: 4.9133706093s, input_fired_time: 0.1021206379, output_fired_time: 0.0000000000, propagate_forward_time: 4.4571852684, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3540644646
validation[          , genome  6702] predictions:    9721/  10000 (97.21%), best:    9768/10000 (97.68%), error:       880.39331, best error:       770.46326 on epoch:    69, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 67.4234237671s, input_fired_time: 1.1686997414, output_fired_time: 0.9585072398, propagate_forward_time: 23.8931694031, propagate_backward_time: 38.1281509399, weight_update_time: 0.1708535254, other_time: 3.2748985291
epoch time: 6.0118908882s, input_fired_time: 0.2046425641, output_fired_time: 0.0000000000, propagate_forward_time: 5.0363597870, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7708883286
validation[          , genome  6702] predictions:    9728/  10000 (97.28%), best:    9768/10000 (97.68%), error:       884.36932, best error:       770.46326 on epoch:    69, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 67.4992370605s, input_fired_time: 1.1107087135, output_fired_time: 0.9394373298, propagate_forward_time: 23.9699554443, propagate_backward_time: 38.4476165771, weight_update_time: 0.1600655019, other_time: 3.0315170288
epoch time: 5.0470590591s, input_fired_time: 0.1133836955, output_fired_time: 0.0000000000, propagate_forward_time: 4.5074601173, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4262151718
validation[          , genome  6702] predictions:    9760/  10000 (97.60%), best:    9768/10000 (97.68%), error:       821.40735, best error:       770.46326 on epoch:    69, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 62.8558540344s, input_fired_time: 0.9333571196, output_fired_time: 0.7375577688, propagate_forward_time: 22.6659374237, propagate_backward_time: 36.0017013550, weight_update_time: 0.1394390464, other_time: 2.5173034668
epoch time: 5.0292553902s, input_fired_time: 0.1120282188, output_fired_time: 0.0000000000, propagate_forward_time: 4.4937429428, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4234843254
validation[          , genome  6702] predictions:    9719/  10000 (97.19%), best:    9768/10000 (97.68%), error:       890.70081, best error:       770.46326 on epoch:    69, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 64.2797546387s, input_fired_time: 1.0774656534, output_fired_time: 0.8434107304, propagate_forward_time: 23.0540008545, propagate_backward_time: 36.3253211975, weight_update_time: 0.1588223726, other_time: 2.9795570374
epoch time: 4.9079685211s, input_fired_time: 0.1038455367, output_fired_time: 0.0000000000, propagate_forward_time: 4.4260969162, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3780260086
validation[          , genome  6702] predictions:    9734/  10000 (97.34%), best:    9768/10000 (97.68%), error:       829.64313, best error:       770.46326 on epoch:    69, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 62.8880043030s, input_fired_time: 0.9751577973, output_fired_time: 0.7639909387, propagate_forward_time: 22.6831359863, propagate_backward_time: 35.8106460571, weight_update_time: 0.1436981261, other_time: 2.6550712585
epoch time: 6.3435702324s, input_fired_time: 0.2436638623, output_fired_time: 0.0000000000, propagate_forward_time: 5.1110715866, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9888348579
validation[          , genome  6702] predictions:    9762/  10000 (97.62%), best:    9768/10000 (97.68%), error:       789.91620, best error:       770.46326 on epoch:    69, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 64.8375320435s, input_fired_time: 1.0615708828, output_fired_time: 0.8266649246, propagate_forward_time: 23.1697788239, propagate_backward_time: 36.8029251099, weight_update_time: 0.1629378498, other_time: 2.9765930176
epoch time: 4.8878731728s, input_fired_time: 0.1021078601, output_fired_time: 0.0000000000, propagate_forward_time: 4.4393386841, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3464264870
validation[          , genome  6702] predictions:    9727/  10000 (97.27%), best:    9768/10000 (97.68%), error:       887.14166, best error:       770.46326 on epoch:    69, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 64.6899795532s, input_fired_time: 1.0763126612, output_fired_time: 0.8511989117, propagate_forward_time: 23.1212654114, propagate_backward_time: 36.5373420715, weight_update_time: 0.1655979306, other_time: 3.1038589478
epoch time: 4.9505643845s, input_fired_time: 0.1069622785, output_fired_time: 0.0000000000, propagate_forward_time: 4.4701890945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3734130859
validation[          , genome  6702] predictions:    9738/  10000 (97.38%), best:    9768/10000 (97.68%), error:       822.56427, best error:       770.46326 on epoch:    69, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 63.1572227478s, input_fired_time: 0.9551015496, output_fired_time: 0.7637149096, propagate_forward_time: 22.7336864471, propagate_backward_time: 36.1313972473, weight_update_time: 0.1424469501, other_time: 2.5733222961
epoch time: 4.9823322296s, input_fired_time: 0.1055957228, output_fired_time: 0.0000000000, propagate_forward_time: 4.4889168739, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3878197670
validation[          , genome  6702] predictions:    9726/  10000 (97.26%), best:    9768/10000 (97.68%), error:       859.53467, best error:       770.46326 on epoch:    69, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 65.8657455444s, input_fired_time: 1.1276788712, output_fired_time: 0.8946951032, propagate_forward_time: 23.4680213928, propagate_backward_time: 37.3047943115, weight_update_time: 0.1647677571, other_time: 3.0705566406
epoch time: 4.8870615959s, input_fired_time: 0.1011200622, output_fired_time: 0.0000000000, propagate_forward_time: 4.4384346008, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3475070000
validation[          , genome  6702] predictions:    9728/  10000 (97.28%), best:    9768/10000 (97.68%), error:       838.40527, best error:       770.46326 on epoch:    69, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 64.8650741577s, input_fired_time: 1.0889186859, output_fired_time: 0.8459450603, propagate_forward_time: 23.2403450012, propagate_backward_time: 36.5802268982, weight_update_time: 0.1631787121, other_time: 3.1096382141
epoch time: 6.3844609261s, input_fired_time: 0.2549794316, output_fired_time: 0.0000000000, propagate_forward_time: 5.1078128815, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0216684341
validation[          , genome  6702] predictions:    9749/  10000 (97.49%), best:    9768/10000 (97.68%), error:       789.63483, best error:       770.46326 on epoch:    69, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 62.4929313660s, input_fired_time: 0.9238932133, output_fired_time: 0.7417733073, propagate_forward_time: 22.6214408875, propagate_backward_time: 35.7287979126, weight_update_time: 0.1341788918, other_time: 2.4770278931
epoch time: 4.9884839058s, input_fired_time: 0.1047733054, output_fired_time: 0.0000000000, propagate_forward_time: 4.4976077080, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3861026764
validation[          , genome  6702] predictions:    9731/  10000 (97.31%), best:    9768/10000 (97.68%), error:       852.02344, best error:       770.46326 on epoch:    69, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 64.7094802856s, input_fired_time: 1.0510076284, output_fired_time: 0.8243224025, propagate_forward_time: 23.2431888580, propagate_backward_time: 36.6310653687, weight_update_time: 0.1570985168, other_time: 2.9598999023
epoch time: 5.4203715324s, input_fired_time: 0.1519579887, output_fired_time: 0.0000000000, propagate_forward_time: 4.6942992210, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5741143227
validation[          , genome  6702] predictions:    9723/  10000 (97.23%), best:    9768/10000 (97.68%), error:       903.35645, best error:       770.46326 on epoch:    69, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 62.0326194763s, input_fired_time: 0.9231557250, output_fired_time: 0.7153717875, propagate_forward_time: 22.5325946808, propagate_backward_time: 35.3678131104, weight_update_time: 0.1340642571, other_time: 2.4936828613
epoch time: 4.8311347961s, input_fired_time: 0.0971433520, output_fired_time: 0.0000000000, propagate_forward_time: 4.3927950859, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3411965370
validation[          , genome  6702] predictions:    9758/  10000 (97.58%), best:    9768/10000 (97.68%), error:       800.99835, best error:       770.46326 on epoch:    69, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 64.2169494629s, input_fired_time: 1.0819883347, output_fired_time: 0.8838188648, propagate_forward_time: 23.0779685974, propagate_backward_time: 36.1250038147, weight_update_time: 0.1646973938, other_time: 3.0481681824
epoch time: 6.0128283501s, input_fired_time: 0.2181675881, output_fired_time: 0.0000000000, propagate_forward_time: 4.9373545647, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8573060036
validation[          , genome  6702] predictions:    9737/  10000 (97.37%), best:    9768/10000 (97.68%), error:       826.05365, best error:       770.46326 on epoch:    69, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 64.2575454712s, input_fired_time: 1.0896682739, output_fired_time: 0.8677616119, propagate_forward_time: 22.9958305359, propagate_backward_time: 36.1702232361, weight_update_time: 0.1628298908, other_time: 3.1340637207
epoch time: 4.6104559898s, input_fired_time: 0.0868902281, output_fired_time: 0.0000000000, propagate_forward_time: 4.2285323143, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2950334549
validation[          , genome  6702] predictions:    9734/  10000 (97.34%), best:    9768/10000 (97.68%), error:       839.50757, best error:       770.46326 on epoch:    69, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 61.6270866394s, input_fired_time: 0.9046670198, output_fired_time: 0.7112494707, propagate_forward_time: 22.3960819244, propagate_backward_time: 35.1698532104, weight_update_time: 0.1350720674, other_time: 2.4452362061
epoch time: 4.8022365570s, input_fired_time: 0.0965593010, output_fired_time: 0.0000000000, propagate_forward_time: 4.3417286873, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3639483452
validation[          , genome  6702] predictions:    9742/  10000 (97.42%), best:    9768/10000 (97.68%), error:       803.87543, best error:       770.46326 on epoch:    69, 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: 25.0933628082s, input_fired_time: 0.5850147605, output_fired_time: 0.0000000000, propagate_forward_time: 22.1857070923, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3226413727
best training[          , genome  6702] predictions:   49604/  50000 (99.21%), best:    9768/10000 (97.68%), error:      1659.15662, best error:       770.46326 on epoch:    69, 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: 6.4110016823s, input_fired_time: 0.2623173594, output_fired_time: 0.0000000000, propagate_forward_time: 5.1037244797, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0449600220
   testing[          , genome  6702] predictions:    9793/  10000 (97.93%), best:    9768/10000 (97.68%), error:       701.80286, best error:       770.46326 on epoch:    69, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
03:34:32 (4212): called boinc_finish(0)

</stderr_txt>
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