Nameexact_genome_1512568488_44_4469_1
Workunit2593677
Created7 Dec 2017, 10:09:20 UTC
Sent7 Dec 2017, 10:13:00 UTC
Report deadline12 Dec 2017, 3:51:23 UTC
Received7 Dec 2017, 22:51:48 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time1 hours 45 min 33 sec
CPU time1 hours 29 min 43 sec
Validate stateValid
Credit1,183.75
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size154.18 MB
Peak swap size157.20 MB
Peak disk usage1.58 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
ime: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8112418652
validation[          , genome  4469] predictions:    9572/  10000 (95.72%), best:    9596/10000 (95.96%), error:      1493.91760, best error:      1345.52588 on epoch:    14, epoch:   20/100, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 62.1877593994s, input_fired_time: 0.9719341993, output_fired_time: 0.5523244143, propagate_forward_time: 22.3556041718, propagate_backward_time: 36.3181571960, weight_update_time: 0.0738623440, other_time: 1.9897346497
epoch time: 4.9352283478s, input_fired_time: 0.0840563327, output_fired_time: 0.0000000000, propagate_forward_time: 4.2865824699, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5645895004
validation[          , genome  4469] predictions:    9598/  10000 (95.98%), best:    9596/10000 (95.96%), error:      1383.88171, best error:      1345.52588 on epoch:    14, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 62.2730331421s, input_fired_time: 0.9747823477, output_fired_time: 0.8043327332, propagate_forward_time: 22.8952293396, propagate_backward_time: 35.8577232361, weight_update_time: 0.0742652938, other_time: 1.7409667969
epoch time: 4.6069421768s, input_fired_time: 0.0836651176, output_fired_time: 0.0000000000, propagate_forward_time: 4.2127985954, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3104786873
validation[          , genome  4469] predictions:    9584/  10000 (95.84%), best:    9596/10000 (95.96%), error:      1419.85315, best error:      1345.52588 on epoch:    14, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 62.3575096130s, input_fired_time: 0.7249615788, output_fired_time: 0.5536457300, propagate_forward_time: 21.1835613251, propagate_backward_time: 37.8976097107, weight_update_time: 0.0742893443, other_time: 1.9977302551
epoch time: 4.6078124046s, input_fired_time: 0.0852718577, output_fired_time: 0.0000000000, propagate_forward_time: 4.2120618820, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3104786873
validation[          , genome  4469] predictions:    9602/  10000 (96.02%), best:    9602/10000 (96.02%), error:      1341.68298, best error:      1341.68298 on epoch:    23, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 62.1798210144s, input_fired_time: 0.7258566022, output_fired_time: 0.5529929996, propagate_forward_time: 23.3751678467, propagate_backward_time: 35.0474014282, weight_update_time: 0.0736130103, other_time: 2.4784011841
epoch time: 4.9122805595s, input_fired_time: 0.0861304775, output_fired_time: 0.0000000000, propagate_forward_time: 4.5103454590, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3158044815
validation[          , genome  4469] predictions:    9587/  10000 (95.87%), best:    9602/10000 (96.02%), error:      1388.94458, best error:      1341.68298 on epoch:    23, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 62.9648704529s, input_fired_time: 0.7373546362, output_fired_time: 0.5589766502, propagate_forward_time: 23.0973091125, propagate_backward_time: 36.3227157593, weight_update_time: 0.0745986402, other_time: 2.2485160828
epoch time: 4.9175448418s, input_fired_time: 0.0851223320, output_fired_time: 0.0000000000, propagate_forward_time: 4.2676377296, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5647850037
validation[          , genome  4469] predictions:    9571/  10000 (95.71%), best:    9602/10000 (96.02%), error:      1455.99719, best error:      1341.68298 on epoch:    23, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 62.9637718201s, input_fired_time: 0.9838128686, output_fired_time: 1.3098870516, propagate_forward_time: 21.5526561737, propagate_backward_time: 36.6181678772, weight_update_time: 0.0745177418, other_time: 2.4992485046
epoch time: 4.8989400864s, input_fired_time: 0.0865400359, output_fired_time: 0.0000000000, propagate_forward_time: 4.2492861748, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5631136894
validation[          , genome  4469] predictions:    9599/  10000 (95.99%), best:    9602/10000 (96.02%), error:      1436.85095, best error:      1341.68298 on epoch:    23, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 63.1073188782s, input_fired_time: 0.9879775047, output_fired_time: 0.8086662292, propagate_forward_time: 21.6045913696, propagate_backward_time: 37.2042922974, weight_update_time: 0.0746687800, other_time: 2.5017929077
epoch time: 4.6528105736s, input_fired_time: 0.0843681172, output_fired_time: 0.0000000000, propagate_forward_time: 4.2538771629, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3145651817
validation[          , genome  4469] predictions:    9588/  10000 (95.88%), best:    9602/10000 (96.02%), error:      1372.42993, best error:      1341.68298 on epoch:    23, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 63.0955314636s, input_fired_time: 0.9829191566, output_fired_time: 0.5598757863, propagate_forward_time: 21.3053169250, propagate_backward_time: 37.7441787720, weight_update_time: 0.0746779814, other_time: 2.5032424927
epoch time: 4.9044275284s, input_fired_time: 0.0843266249, output_fired_time: 0.0000000000, propagate_forward_time: 4.5082607269, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3118400574
validation[          , genome  4469] predictions:    9602/  10000 (96.02%), best:    9602/10000 (96.02%), error:      1325.45459, best error:      1325.45459 on epoch:    28, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 63.9253768921s, input_fired_time: 0.9944658279, output_fired_time: 1.0673254728, propagate_forward_time: 21.7909240723, propagate_backward_time: 37.3079757690, weight_update_time: 0.0753912181, other_time: 2.7646865845
epoch time: 4.6774911880s, input_fired_time: 0.0843123198, output_fired_time: 0.0000000000, propagate_forward_time: 4.2763624191, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3168163300
validation[          , genome  4469] predictions:    9576/  10000 (95.76%), best:    9602/10000 (96.02%), error:      1436.71240, best error:      1325.45459 on epoch:    28, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 63.9911460876s, input_fired_time: 0.7485550046, output_fired_time: 1.0686731339, propagate_forward_time: 22.5870056152, propagate_backward_time: 37.0653305054, weight_update_time: 0.0755560994, other_time: 2.5215835571
epoch time: 4.9803757668s, input_fired_time: 0.0870828182, output_fired_time: 0.0000000000, propagate_forward_time: 4.5718898773, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3214030266
validation[          , genome  4469] predictions:    9642/  10000 (96.42%), best:    9642/10000 (96.42%), error:      1239.18140, best error:      1239.18140 on epoch:    30, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 63.7953338623s, input_fired_time: 1.7489720583, output_fired_time: 0.8212497234, propagate_forward_time: 22.7934703827, propagate_backward_time: 36.4148750305, weight_update_time: 0.0752273649, other_time: 2.0167655945
epoch time: 4.6898951530s, input_fired_time: 0.0864883587, output_fired_time: 0.0000000000, propagate_forward_time: 4.0379128456, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5654940605
validation[          , genome  4469] predictions:    9575/  10000 (95.75%), best:    9642/10000 (96.42%), error:      1418.04407, best error:      1239.18140 on epoch:    30, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 63.8676300049s, input_fired_time: 0.7435879707, output_fired_time: 0.8168027401, propagate_forward_time: 21.2820644379, propagate_backward_time: 38.4965515137, weight_update_time: 0.0757081583, other_time: 2.5286254883
epoch time: 5.0293707848s, input_fired_time: 0.0887657776, output_fired_time: 0.0000000000, propagate_forward_time: 4.6177906990, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3228144646
validation[          , genome  4469] predictions:    9619/  10000 (96.19%), best:    9642/10000 (96.42%), error:      1295.64075, best error:      1239.18140 on epoch:    30, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 63.9845657349s, input_fired_time: 1.0041121244, output_fired_time: 1.0720245838, propagate_forward_time: 22.8758544922, propagate_backward_time: 36.5183601379, weight_update_time: 0.0753497779, other_time: 2.5142135620
epoch time: 4.9627718925s, input_fired_time: 0.0863419250, output_fired_time: 0.0000000000, propagate_forward_time: 4.5594367981, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3169932365
validation[          , genome  4469] predictions:    9590/  10000 (95.90%), best:    9642/10000 (96.42%), error:      1375.99438, best error:      1239.18140 on epoch:    30, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 63.5903854370s, input_fired_time: 0.9954397082, output_fired_time: 0.8181657791, propagate_forward_time: 22.6828193665, propagate_backward_time: 37.0934638977, weight_update_time: 0.0745761245, other_time: 2.0004959106
epoch time: 4.9475984573s, input_fired_time: 0.0862605274, output_fired_time: 0.0000000000, propagate_forward_time: 4.5459742546, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3153638840
validation[          , genome  4469] predictions:    9602/  10000 (96.02%), best:    9642/10000 (96.42%), error:      1338.06250, best error:      1239.18140 on epoch:    30, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 64.0240402222s, input_fired_time: 0.7524544597, output_fired_time: 1.0721553564, propagate_forward_time: 22.6351623535, propagate_backward_time: 37.2883033752, weight_update_time: 0.0758034363, other_time: 2.2759666443
epoch time: 5.0305309296s, input_fired_time: 0.0881308913, output_fired_time: 0.0000000000, propagate_forward_time: 4.6186351776, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3237648010
validation[          , genome  4469] predictions:    9595/  10000 (95.95%), best:    9642/10000 (96.42%), error:      1353.23242, best error:      1239.18140 on epoch:    30, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 64.5229873657s, input_fired_time: 0.7540155053, output_fired_time: 0.5721387267, propagate_forward_time: 22.3137264252, propagate_backward_time: 38.3506355286, weight_update_time: 0.0761234164, other_time: 2.5324668884
epoch time: 5.0106606483s, input_fired_time: 0.0882061720, output_fired_time: 0.0000000000, propagate_forward_time: 4.6016626358, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3207917213
validation[          , genome  4469] predictions:    9623/  10000 (96.23%), best:    9642/10000 (96.42%), error:      1255.99756, best error:      1239.18140 on epoch:    30, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 63.6143722534s, input_fired_time: 0.7439188361, output_fired_time: 0.5626586080, propagate_forward_time: 21.1004676819, propagate_backward_time: 38.6669769287, weight_update_time: 0.0763497427, other_time: 2.5403480530
epoch time: 5.0159497261s, input_fired_time: 0.0879639834, output_fired_time: 0.0000000000, propagate_forward_time: 4.6074838638, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3205018044
validation[          , genome  4469] predictions:    9621/  10000 (96.21%), best:    9642/10000 (96.42%), error:      1257.94250, best error:      1239.18140 on epoch:    30, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 64.2332839966s, input_fired_time: 1.7517151833, output_fired_time: 0.8202113509, propagate_forward_time: 21.1925010681, propagate_backward_time: 38.1898307800, weight_update_time: 0.0760374069, other_time: 2.2790260315
epoch time: 4.6751165390s, input_fired_time: 0.0855795518, output_fired_time: 0.0000000000, propagate_forward_time: 4.2730264664, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3165106773
validation[          , genome  4469] predictions:    9538/  10000 (95.38%), best:    9642/10000 (96.42%), error:      1458.86292, best error:      1239.18140 on epoch:    30, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 63.9226493835s, input_fired_time: 0.7495834231, output_fired_time: 0.5655570626, propagate_forward_time: 21.1374702454, propagate_backward_time: 39.6740722656, weight_update_time: 0.0765637234, other_time: 1.7959671021
epoch time: 4.9450473785s, input_fired_time: 0.0861099586, output_fired_time: 0.0000000000, propagate_forward_time: 4.2951407433, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5637965202
validation[          , genome  4469] predictions:    9551/  10000 (95.51%), best:    9642/10000 (96.42%), error:      1516.43079, best error:      1239.18140 on epoch:    30, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 63.1526985168s, input_fired_time: 0.7468012571, output_fired_time: 0.5650200248, propagate_forward_time: 23.4834289551, propagate_backward_time: 35.8418426514, weight_update_time: 0.0755002648, other_time: 2.5156059265
epoch time: 4.9307932854s, input_fired_time: 0.0841146782, output_fired_time: 0.0000000000, propagate_forward_time: 4.0297384262, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8169403076
validation[          , genome  4469] predictions:    9601/  10000 (96.01%), best:    9642/10000 (96.42%), error:      1319.12134, best error:      1239.18140 on epoch:    30, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 63.3291511536s, input_fired_time: 0.7423459291, output_fired_time: 0.5596659780, propagate_forward_time: 20.4314422607, propagate_backward_time: 38.8261260986, weight_update_time: 0.0755504668, other_time: 2.7695693970
epoch time: 4.9405679703s, input_fired_time: 0.0866270810, output_fired_time: 0.0000000000, propagate_forward_time: 4.5380706787, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3158702850
validation[          , genome  4469] predictions:    9639/  10000 (96.39%), best:    9639/10000 (96.39%), error:      1231.53552, best error:      1231.53552 on epoch:    41, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 63.3703880310s, input_fired_time: 0.9907431602, output_fired_time: 0.5613341331, propagate_forward_time: 19.8962135315, propagate_backward_time: 39.6431312561, weight_update_time: 0.0759390816, other_time: 2.2789688110
epoch time: 4.6594829559s, input_fired_time: 0.3350056112, output_fired_time: 0.0000000000, propagate_forward_time: 3.7595798969, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5648972988
validation[          , genome  4469] predictions:    9337/  10000 (93.37%), best:    9639/10000 (96.39%), error:      2200.98560, best error:      1231.53552 on epoch:    41, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 63.0463943481s, input_fired_time: 0.7476451397, output_fired_time: 0.8132517338, propagate_forward_time: 23.2622299194, propagate_backward_time: 35.4542045593, weight_update_time: 0.0755494162, other_time: 2.7690620422
epoch time: 4.9459090233s, input_fired_time: 0.0864581466, output_fired_time: 0.0000000000, propagate_forward_time: 4.2914614677, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5679893494
validation[          , genome  4469] predictions:    9639/  10000 (96.39%), best:    9639/10000 (96.39%), error:      1211.97754, best error:      1211.97754 on epoch:    43, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 63.5268096924s, input_fired_time: 1.5005543232, output_fired_time: 0.5675888062, propagate_forward_time: 22.8076534271, propagate_backward_time: 35.8809471130, weight_update_time: 0.3256394565, other_time: 2.7700691223
epoch time: 4.9121894836s, input_fired_time: 0.3370279968, output_fired_time: 0.0000000000, propagate_forward_time: 4.2588953972, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3162660599
validation[          , genome  4469] predictions:    9580/  10000 (95.80%), best:    9639/10000 (96.39%), error:      1420.64807, best error:      1211.97754 on epoch:    43, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 63.4934997559s, input_fired_time: 0.7466821074, output_fired_time: 1.0657948256, propagate_forward_time: 23.0222187042, propagate_backward_time: 35.8882408142, weight_update_time: 0.0753804669, other_time: 2.7705650330
epoch time: 4.9433088303s, input_fired_time: 0.0861294493, output_fired_time: 0.0000000000, propagate_forward_time: 4.5391879082, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3179912567
validation[          , genome  4469] predictions:    9648/  10000 (96.48%), best:    9648/10000 (96.48%), error:      1206.61426, best error:      1206.61426 on epoch:    45, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 63.2791595459s, input_fired_time: 1.2460026741, output_fired_time: 0.8162004948, propagate_forward_time: 21.7914314270, propagate_backward_time: 36.8845100403, weight_update_time: 0.0763906762, other_time: 2.5410156250
epoch time: 4.9559707642s, input_fired_time: 0.0874258354, output_fired_time: 0.0000000000, propagate_forward_time: 4.5500416756, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3185033798
validation[          , genome  4469] predictions:    9626/  10000 (96.26%), best:    9648/10000 (96.48%), error:      1213.23572, best error:      1206.61426 on epoch:    45, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 63.4020729065s, input_fired_time: 0.9916744828, output_fired_time: 0.5626118779, propagate_forward_time: 20.6439018250, propagate_backward_time: 39.1736526489, weight_update_time: 0.0761469305, other_time: 2.0302314758
epoch time: 4.9446926117s, input_fired_time: 0.0854208022, output_fired_time: 0.0000000000, propagate_forward_time: 4.5412592888, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3180127144
validation[          , genome  4469] predictions:    9640/  10000 (96.40%), best:    9640/10000 (96.40%), error:      1204.08911, best error:      1204.08911 on epoch:    47, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 63.1199111938s, input_fired_time: 1.2470922470, output_fired_time: 0.5641528368, propagate_forward_time: 22.2273864746, propagate_backward_time: 36.0432243347, weight_update_time: 0.3256327808, other_time: 3.0380554199
epoch time: 4.9161095619s, input_fired_time: 0.0857193619, output_fired_time: 0.0000000000, propagate_forward_time: 4.0164666176, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8139233589
validation[          , genome  4469] predictions:    9532/  10000 (95.32%), best:    9640/10000 (96.40%), error:      1559.43835, best error:      1204.08911 on epoch:    47, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 63.4218635559s, input_fired_time: 1.7451446056, output_fired_time: 1.0653412342, propagate_forward_time: 22.2323780060, propagate_backward_time: 36.3497505188, weight_update_time: 0.0761746019, other_time: 2.0292472839
epoch time: 4.9142718315s, input_fired_time: 0.0868969336, output_fired_time: 0.0000000000, propagate_forward_time: 4.5147867203, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3125882149
validation[          , genome  4469] predictions:    9623/  10000 (96.23%), best:    9640/10000 (96.40%), error:      1260.58435, best error:      1204.08911 on epoch:    47, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 63.2781295776s, input_fired_time: 0.9982013106, output_fired_time: 0.5672668815, propagate_forward_time: 22.7819461823, propagate_backward_time: 36.1518974304, weight_update_time: 0.0758740380, other_time: 2.7788200378
epoch time: 5.0282516479s, input_fired_time: 0.0872804224, output_fired_time: 0.0000000000, propagate_forward_time: 4.3693504333, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5716209412
validation[          , genome  4469] predictions:    9668/  10000 (96.68%), best:    9668/10000 (96.68%), error:      1147.21741, best error:      1147.21741 on epoch:    50, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 63.6396713257s, input_fired_time: 1.2455693483, output_fired_time: 0.8151752353, propagate_forward_time: 20.7621974945, propagate_backward_time: 38.5346260071, weight_update_time: 0.0763727129, other_time: 2.2821006775
epoch time: 4.6775655746s, input_fired_time: 0.0858094320, output_fired_time: 0.0000000000, propagate_forward_time: 4.2760224342, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3157339096
validation[          , genome  4469] predictions:    9642/  10000 (96.42%), best:    9668/10000 (96.68%), error:      1255.65491, best error:      1147.21741 on epoch:    50, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 52.1137466431s, input_fired_time: 0.9880205989, output_fired_time: 0.5569906831, propagate_forward_time: 18.0050640106, propagate_backward_time: 30.5625858307, weight_update_time: 0.0749370903, other_time: 2.0010814667
epoch time: 3.6068048477s, input_fired_time: 0.0848033056, output_fired_time: 0.0000000000, propagate_forward_time: 3.2111394405, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3108620644
validation[          , genome  4469] predictions:    9591/  10000 (95.91%), best:    9668/10000 (96.68%), error:      1356.29504, best error:      1147.21741 on epoch:    50, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 46.6436576843s, input_fired_time: 0.7327823043, output_fired_time: 0.5523725748, propagate_forward_time: 16.0943965912, propagate_backward_time: 27.5304698944, weight_update_time: 0.0739124939, other_time: 1.7336387634
epoch time: 3.6074512005s, input_fired_time: 0.0856824368, output_fired_time: 0.0000000000, propagate_forward_time: 3.2117717266, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3099970818
validation[          , genome  4469] predictions:    9637/  10000 (96.37%), best:    9668/10000 (96.68%), error:      1256.77612, best error:      1147.21741 on epoch:    50, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 46.7311363220s, input_fired_time: 0.7360028625, output_fired_time: 0.5524083376, propagate_forward_time: 16.1174125671, propagate_backward_time: 27.5892505646, weight_update_time: 0.0739079192, other_time: 1.7360591888
epoch time: 3.6096081734s, input_fired_time: 0.0850721300, output_fired_time: 0.0000000000, propagate_forward_time: 3.2134335041, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3111026287
validation[          , genome  4469] predictions:    9649/  10000 (96.49%), best:    9668/10000 (96.68%), error:      1182.04004, best error:      1147.21741 on epoch:    50, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 46.5918235779s, input_fired_time: 0.7340574265, output_fired_time: 0.5518205166, propagate_forward_time: 16.0738086700, propagate_backward_time: 27.4976730347, weight_update_time: 0.0738869235, other_time: 1.7344646454
epoch time: 3.6093506813s, input_fired_time: 0.0853061154, output_fired_time: 0.0000000000, propagate_forward_time: 3.2127912045, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3112533092
validation[          , genome  4469] predictions:    9661/  10000 (96.61%), best:    9668/10000 (96.68%), error:      1172.59155, best error:      1147.21741 on epoch:    50, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 46.6082839966s, input_fired_time: 0.7334825397, output_fired_time: 0.5519409180, propagate_forward_time: 16.0896129608, propagate_backward_time: 27.5022506714, weight_update_time: 0.0739488378, other_time: 1.7309970856
epoch time: 3.6052122116s, input_fired_time: 0.0851407573, output_fired_time: 0.0000000000, propagate_forward_time: 3.2098853588, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3101861477
validation[          , genome  4469] predictions:    9653/  10000 (96.53%), best:    9668/10000 (96.68%), error:      1160.42188, best error:      1147.21741 on epoch:    50, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 46.7283668518s, input_fired_time: 0.7357059121, output_fired_time: 0.5530159473, propagate_forward_time: 16.1329517365, propagate_backward_time: 27.5726680756, weight_update_time: 0.0739663467, other_time: 1.7340240479
epoch time: 3.6139836311s, input_fired_time: 0.0855805650, output_fired_time: 0.0000000000, propagate_forward_time: 3.2180483341, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3103547096
validation[          , genome  4469] predictions:    9659/  10000 (96.59%), best:    9668/10000 (96.68%), error:      1184.03052, best error:      1147.21741 on epoch:    50, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 46.7728080750s, input_fired_time: 0.7396895885, output_fired_time: 0.5536700487, propagate_forward_time: 16.1484756470, propagate_backward_time: 27.5961513519, weight_update_time: 0.0738475025, other_time: 1.7348232269
epoch time: 3.6446585655s, input_fired_time: 0.0869353116, output_fired_time: 0.0000000000, propagate_forward_time: 3.2436447144, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3140785694
validation[          , genome  4469] predictions:    9614/  10000 (96.14%), best:    9668/10000 (96.68%), error:      1283.35901, best error:      1147.21741 on epoch:    50, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 46.7248573303s, input_fired_time: 0.7355201840, output_fired_time: 0.5533770919, propagate_forward_time: 16.1183986664, propagate_backward_time: 27.5762042999, weight_update_time: 0.0741296187, other_time: 1.7413597107
epoch time: 3.6141254902s, input_fired_time: 0.0856911689, output_fired_time: 0.0000000000, propagate_forward_time: 3.2166068554, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3118274212
validation[          , genome  4469] predictions:    9659/  10000 (96.59%), best:    9668/10000 (96.68%), error:      1228.07690, best error:      1147.21741 on epoch:    50, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 46.6595573425s, input_fired_time: 0.7364490628, output_fired_time: 0.5530105829, propagate_forward_time: 16.0973968506, propagate_backward_time: 27.5371360779, weight_update_time: 0.0739621893, other_time: 1.7355651855
epoch time: 3.6083967686s, input_fired_time: 0.0856635273, output_fired_time: 0.0000000000, propagate_forward_time: 3.2119567394, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3107764721
validation[          , genome  4469] predictions:    9624/  10000 (96.24%), best:    9668/10000 (96.68%), error:      1250.49536, best error:      1147.21741 on epoch:    50, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 46.6879043579s, input_fired_time: 0.7375251055, output_fired_time: 0.5523914695, propagate_forward_time: 16.1093921661, propagate_backward_time: 27.5519714355, weight_update_time: 0.0741669908, other_time: 1.7366237640
epoch time: 3.6080167294s, input_fired_time: 0.0861202255, output_fired_time: 0.0000000000, propagate_forward_time: 3.2116465569, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3102500439
validation[          , genome  4469] predictions:    9629/  10000 (96.29%), best:    9668/10000 (96.68%), error:      1238.02795, best error:      1147.21741 on epoch:    50, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 46.5902824402s, input_fired_time: 0.7362871766, output_fired_time: 0.5518142581, propagate_forward_time: 16.0744667053, propagate_backward_time: 27.4968338013, weight_update_time: 0.0739099905, other_time: 1.7308807373
epoch time: 3.6375069618s, input_fired_time: 0.0866501629, output_fired_time: 0.0000000000, propagate_forward_time: 3.2386889458, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3121678829
validation[          , genome  4469] predictions:    9575/  10000 (95.75%), best:    9668/10000 (96.68%), error:      1380.53198, best error:      1147.21741 on epoch:    50, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 46.6178588867s, input_fired_time: 0.7399255633, output_fired_time: 0.5522628427, propagate_forward_time: 16.0771121979, propagate_backward_time: 27.5251560211, weight_update_time: 0.0736852214, other_time: 1.7234039307
epoch time: 3.6302378178s, input_fired_time: 0.0868493244, output_fired_time: 0.0000000000, propagate_forward_time: 3.2308692932, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3125193119
validation[          , genome  4469] predictions:    9653/  10000 (96.53%), best:    9668/10000 (96.68%), error:      1182.10327, best error:      1147.21741 on epoch:    50, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 46.6460533142s, input_fired_time: 0.7397162914, output_fired_time: 0.5523515940, propagate_forward_time: 16.0886135101, propagate_backward_time: 27.5427856445, weight_update_time: 0.0736606270, other_time: 1.7225856781
epoch time: 3.6227576733s, input_fired_time: 0.0870581865, output_fired_time: 0.0000000000, propagate_forward_time: 3.2245812416, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3111181259
validation[          , genome  4469] predictions:    9652/  10000 (96.52%), best:    9668/10000 (96.68%), error:      1192.82751, best error:      1147.21741 on epoch:    50, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 46.6100883484s, input_fired_time: 0.7418297529, output_fired_time: 0.5521255732, propagate_forward_time: 16.0879001617, propagate_backward_time: 27.5003452301, weight_update_time: 0.0737814456, other_time: 1.7278900146
epoch time: 3.6203756332s, input_fired_time: 0.0865160152, output_fired_time: 0.0000000000, propagate_forward_time: 3.2231061459, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3107535839
validation[          , genome  4469] predictions:    9560/  10000 (95.60%), best:    9668/10000 (96.68%), error:      1454.53528, best error:      1147.21741 on epoch:    50, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 46.5980148315s, input_fired_time: 0.7392888069, output_fired_time: 0.5518567562, propagate_forward_time: 16.0813751221, propagate_backward_time: 27.5014648438, weight_update_time: 0.0735023990, other_time: 1.7240295410
epoch time: 3.6119101048s, input_fired_time: 0.0874294639, output_fired_time: 0.0000000000, propagate_forward_time: 3.2146265507, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3098540306
validation[          , genome  4469] predictions:    9660/  10000 (96.60%), best:    9668/10000 (96.68%), error:      1166.75916, best error:      1147.21741 on epoch:    50, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 46.6826477051s, input_fired_time: 0.7404946089, output_fired_time: 0.5531035066, propagate_forward_time: 16.1146583557, propagate_backward_time: 27.5438308716, weight_update_time: 0.0737988278, other_time: 1.7305603027
epoch time: 3.6118168831s, input_fired_time: 0.0862220973, output_fired_time: 0.0000000000, propagate_forward_time: 3.2143528461, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3112418652
validation[          , genome  4469] predictions:    9640/  10000 (96.40%), best:    9668/10000 (96.68%), error:      1196.59521, best error:      1147.21741 on epoch:    50, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 46.6248741150s, input_fired_time: 0.7461410761, output_fired_time: 0.5532368422, propagate_forward_time: 16.0838851929, propagate_backward_time: 27.5150928497, weight_update_time: 0.0735439137, other_time: 1.7265186310
epoch time: 3.6430037022s, input_fired_time: 0.0873915553, output_fired_time: 0.0000000000, propagate_forward_time: 3.2437813282, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3118307590
validation[          , genome  4469] predictions:    9652/  10000 (96.52%), best:    9668/10000 (96.68%), error:      1187.59534, best error:      1147.21741 on epoch:    50, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 46.6589889526s, input_fired_time: 0.7406178713, output_fired_time: 0.5525562167, propagate_forward_time: 16.1062355042, propagate_backward_time: 27.5319290161, weight_update_time: 0.0736913383, other_time: 1.7276496887
epoch time: 3.6174430847s, input_fired_time: 0.0867766216, output_fired_time: 0.0000000000, propagate_forward_time: 3.2190003395, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3116660118
validation[          , genome  4469] predictions:    9621/  10000 (96.21%), best:    9668/10000 (96.68%), error:      1275.10132, best error:      1147.21741 on epoch:    50, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 46.7704315186s, input_fired_time: 0.7445592880, output_fired_time: 0.5541009903, propagate_forward_time: 16.1336650848, propagate_backward_time: 27.6019477844, weight_update_time: 0.0740835220, other_time: 1.7361583710
epoch time: 3.6103005409s, input_fired_time: 0.0875789151, output_fired_time: 0.0000000000, propagate_forward_time: 3.2117009163, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3110206127
validation[          , genome  4469] predictions:    9579/  10000 (95.79%), best:    9668/10000 (96.68%), error:      1431.44824, best error:      1147.21741 on epoch:    50, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 46.6115036011s, input_fired_time: 0.7423086762, output_fired_time: 0.5522787571, propagate_forward_time: 16.0786857605, propagate_backward_time: 27.5026721954, weight_update_time: 0.0740440860, other_time: 1.7355556488
epoch time: 3.6189122200s, input_fired_time: 0.0871165693, output_fired_time: 0.0000000000, propagate_forward_time: 3.2197535038, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3120422363
validation[          , genome  4469] predictions:    9398/  10000 (93.98%), best:    9668/10000 (96.68%), error:      1994.78564, best error:      1147.21741 on epoch:    50, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 46.6654739380s, input_fired_time: 0.7414708138, output_fired_time: 0.5525491238, propagate_forward_time: 16.0955104828, propagate_backward_time: 27.5386199951, weight_update_time: 0.0738418773, other_time: 1.7373256683
epoch time: 3.6086292267s, input_fired_time: 0.0873997658, output_fired_time: 0.0000000000, propagate_forward_time: 3.2107136250, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3105158806
validation[          , genome  4469] predictions:    9643/  10000 (96.43%), best:    9668/10000 (96.68%), error:      1196.08972, best error:      1147.21741 on epoch:    50, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 46.6353645325s, input_fired_time: 0.7447136641, output_fired_time: 0.5519950986, propagate_forward_time: 16.0827064514, propagate_backward_time: 27.5215492249, weight_update_time: 0.0738603026, other_time: 1.7344017029
epoch time: 3.6174786091s, input_fired_time: 0.0878236666, output_fired_time: 0.0000000000, propagate_forward_time: 3.2186222076, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3110327721
validation[          , genome  4469] predictions:    9662/  10000 (96.62%), best:    9662/10000 (96.62%), error:      1132.51599, best error:      1132.51599 on epoch:    73, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 46.6392555237s, input_fired_time: 0.7456121445, output_fired_time: 0.5526781678, propagate_forward_time: 16.0846824646, propagate_backward_time: 27.5207214355, weight_update_time: 0.0739119574, other_time: 1.7355613708
epoch time: 3.6115005016s, input_fired_time: 0.0876020044, output_fired_time: 0.0000000000, propagate_forward_time: 3.2135822773, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3103163242
validation[          , genome  4469] predictions:    9603/  10000 (96.03%), best:    9662/10000 (96.62%), error:      1318.24585, best error:      1132.51599 on epoch:    73, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 46.6477127075s, input_fired_time: 0.7431543469, output_fired_time: 0.5524640679, propagate_forward_time: 16.0903148651, propagate_backward_time: 27.5244979858, weight_update_time: 0.0737962946, other_time: 1.7372837067
epoch time: 3.6099963188s, input_fired_time: 0.0869050920, output_fired_time: 0.0000000000, propagate_forward_time: 3.2125902176, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3105010986
validation[          , genome  4469] predictions:    9652/  10000 (96.52%), best:    9662/10000 (96.62%), error:      1163.15198, best error:      1132.51599 on epoch:    73, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 46.6492347717s, input_fired_time: 0.7440864444, output_fired_time: 0.5521152020, propagate_forward_time: 16.0962390900, propagate_backward_time: 27.5213069916, weight_update_time: 0.0741291046, other_time: 1.7354850769
epoch time: 3.6074669361s, input_fired_time: 0.0874867961, output_fired_time: 0.0000000000, propagate_forward_time: 3.2103958130, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3095843792
validation[          , genome  4469] predictions:    9579/  10000 (95.79%), best:    9662/10000 (96.62%), error:      1369.44775, best error:      1132.51599 on epoch:    73, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 46.6129913330s, input_fired_time: 0.7459280491, output_fired_time: 0.5520342588, propagate_forward_time: 16.0817356110, propagate_backward_time: 27.4998378754, weight_update_time: 0.0738044679, other_time: 1.7334556580
epoch time: 3.6107637882s, input_fired_time: 0.0874796212, output_fired_time: 0.0000000000, propagate_forward_time: 3.2127780914, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3105061054
validation[          , genome  4469] predictions:    9622/  10000 (96.22%), best:    9662/10000 (96.62%), error:      1256.36877, best error:      1132.51599 on epoch:    73, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 46.6471176147s, input_fired_time: 0.7452277541, output_fired_time: 0.5523403287, propagate_forward_time: 16.0964031219, propagate_backward_time: 27.5220279694, weight_update_time: 0.0736729205, other_time: 1.7311172485
epoch time: 3.6090798378s, input_fired_time: 0.0868677273, output_fired_time: 0.0000000000, propagate_forward_time: 3.2124686241, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3097434044
validation[          , genome  4469] predictions:    9628/  10000 (96.28%), best:    9662/10000 (96.62%), error:      1221.39893, best error:      1132.51599 on epoch:    73, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 46.6049499512s, input_fired_time: 0.7446079850, output_fired_time: 0.5519927144, propagate_forward_time: 16.0789966583, propagate_backward_time: 27.5003051758, weight_update_time: 0.0736611262, other_time: 1.7290439606
epoch time: 3.6091253757s, input_fired_time: 0.0888543576, output_fired_time: 0.0000000000, propagate_forward_time: 3.2105894089, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3096816540
validation[          , genome  4469] predictions:    9597/  10000 (95.97%), best:    9662/10000 (96.62%), error:      1351.86670, best error:      1132.51599 on epoch:    73, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 46.6637001038s, input_fired_time: 0.7472204566, output_fired_time: 0.5517508388, propagate_forward_time: 16.0852909088, propagate_backward_time: 27.5539894104, weight_update_time: 0.0737589523, other_time: 1.7254505157
epoch time: 3.6237635612s, input_fired_time: 0.0874898136, output_fired_time: 0.0000000000, propagate_forward_time: 3.2255859375, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3106877804
validation[          , genome  4469] predictions:    9637/  10000 (96.37%), best:    9662/10000 (96.62%), error:      1244.44275, best error:      1132.51599 on epoch:    73, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 46.5974807739s, input_fired_time: 0.7465550900, output_fired_time: 0.5521656871, propagate_forward_time: 16.0768775940, propagate_backward_time: 27.4986877441, weight_update_time: 0.0736288875, other_time: 1.7231941223
epoch time: 3.6083495617s, input_fired_time: 0.0873075724, output_fired_time: 0.0000000000, propagate_forward_time: 3.2105877399, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3104541302
validation[          , genome  4469] predictions:    9608/  10000 (96.08%), best:    9662/10000 (96.62%), error:      1275.16919, best error:      1132.51599 on epoch:    73, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 46.7471809387s, input_fired_time: 0.7475718856, output_fired_time: 0.5528144240, propagate_forward_time: 16.1264190674, propagate_backward_time: 27.5874919891, weight_update_time: 0.0741296262, other_time: 1.7328853607
epoch time: 3.6094479561s, input_fired_time: 0.0878861696, output_fired_time: 0.0000000000, propagate_forward_time: 3.2116241455, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3099377155
validation[          , genome  4469] predictions:    9347/  10000 (93.47%), best:    9662/10000 (96.62%), error:      2261.60669, best error:      1132.51599 on epoch:    73, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 46.5938796997s, input_fired_time: 0.7447152734, output_fired_time: 0.5516868830, propagate_forward_time: 16.0716915131, propagate_backward_time: 27.4995632172, weight_update_time: 0.0737333521, other_time: 1.7262229919
epoch time: 3.6107223034s, input_fired_time: 0.0881293416, output_fired_time: 0.0000000000, propagate_forward_time: 3.2117550373, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3108379841
validation[          , genome  4469] predictions:    9612/  10000 (96.12%), best:    9662/10000 (96.62%), error:      1275.74561, best error:      1132.51599 on epoch:    73, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 50.2353935242s, input_fired_time: 0.7505924702, output_fired_time: 0.5528361201, propagate_forward_time: 17.3655681610, propagate_backward_time: 29.5769977570, weight_update_time: 0.0740886331, other_time: 1.9893989563
epoch time: 4.8855338097s, input_fired_time: 0.3385507464, output_fired_time: 0.0000000000, propagate_forward_time: 3.9853136539, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5616695881
validation[          , genome  4469] predictions:    9662/  10000 (96.62%), best:    9662/10000 (96.62%), error:      1149.41931, best error:      1132.51599 on epoch:    73, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 62.3668441772s, input_fired_time: 1.0003607273, output_fired_time: 0.5541343689, propagate_forward_time: 24.4171485901, propagate_backward_time: 34.6425285339, weight_update_time: 0.0746585205, other_time: 1.7526702881
epoch time: 4.9276390076s, input_fired_time: 0.0899346620, output_fired_time: 0.0000000000, propagate_forward_time: 4.2714552879, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5662488937
validation[          , genome  4469] predictions:    9635/  10000 (96.35%), best:    9662/10000 (96.62%), error:      1251.20801, best error:      1132.51599 on epoch:    73, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 62.6834869385s, input_fired_time: 1.0056197643, output_fired_time: 0.5594208837, propagate_forward_time: 21.2791538239, propagate_backward_time: 37.3139495850, weight_update_time: 0.0748233870, other_time: 2.5253448486
epoch time: 4.9981498718s, input_fired_time: 0.0912858769, output_fired_time: 0.0000000000, propagate_forward_time: 4.5850443840, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3218197823
validation[          , genome  4469] predictions:    9597/  10000 (95.97%), best:    9662/10000 (96.62%), error:      1312.17810, best error:      1132.51599 on epoch:    73, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 62.7266387939s, input_fired_time: 0.7540981174, output_fired_time: 0.8066043854, propagate_forward_time: 22.9531364441, propagate_backward_time: 34.7041816711, weight_update_time: 0.0748694912, other_time: 3.5086212158
epoch time: 4.8866643906s, input_fired_time: 0.0894641802, output_fired_time: 0.0000000000, propagate_forward_time: 3.9847717285, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8124284744
validation[          , genome  4469] predictions:    9609/  10000 (96.09%), best:    9662/10000 (96.62%), error:      1299.68188, best error:      1132.51599 on epoch:    73, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4469.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4469_1_r736700142_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.984631
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000136958
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 5.47831e-06
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 88
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 73
read number_validation_images: 10000
read best_validation_predictions: 9662
read best_validation_error: 1132.52
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: 4469
read normal distribution: '1 0 0'
generator_str: '758894256'
read generator: 758894256
read generated_by_map:
1 disable_edge 1
reading 17 nodes.
reading 28 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: 80.0839538574219s, input_fired_time: 1.11709940433502, output_fired_time: 1.1953341960907, propagate_forward_time: 27.9451122283936, propagate_backward_time: 47.214958190918, weight_update_time: 0.0922323912382126, other_time: 2.6114501953125
epoch time: 5.97950267791748s, input_fired_time: 0.350337892770767, output_fired_time: 0, propagate_forward_time: 5.02442455291748, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.604740142822266
validation[          , genome  4469] predictions:    9668/  10000 (96.68%), best:    9668/10000 (96.68%), error:      1132.15771, best error:      1132.15771 on epoch:    88, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 84.3030242920s, input_fired_time: 0.8856720924, output_fired_time: 0.7264867425, propagate_forward_time: 30.6060714722, propagate_backward_time: 49.1736412048, weight_update_time: 0.0949900523, other_time: 2.9111518860
epoch time: 5.8458395004s, input_fired_time: 0.1006758288, output_fired_time: 0.0000000000, propagate_forward_time: 5.3943500519, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3508133888
validation[          , genome  4469] predictions:    9620/  10000 (96.20%), best:    9668/10000 (96.68%), error:      1241.91309, best error:      1132.15771 on epoch:    88, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 85.0853118896s, input_fired_time: 0.8941190839, output_fired_time: 1.2315046787, propagate_forward_time: 30.3146686554, propagate_backward_time: 48.9707870483, weight_update_time: 0.3458938003, other_time: 3.6742324829
epoch time: 5.1949176788s, input_fired_time: 0.0939500704, output_fired_time: 0.0000000000, propagate_forward_time: 4.7748732567, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3260941505
validation[          , genome  4469] predictions:    9645/  10000 (96.45%), best:    9668/10000 (96.68%), error:      1172.32813, best error:      1132.15771 on epoch:    88, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 76.4855804443s, input_fired_time: 1.0907632113, output_fired_time: 0.6656760573, propagate_forward_time: 32.1903076172, propagate_backward_time: 40.5154304504, weight_update_time: 0.0878297091, other_time: 2.0234031677
epoch time: 6.7508287430s, input_fired_time: 0.1082520559, output_fired_time: 0.0000000000, propagate_forward_time: 6.2589697838, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3836069107
validation[          , genome  4469] predictions:    9650/  10000 (96.50%), best:    9668/10000 (96.68%), error:      1223.80432, best error:      1132.15771 on epoch:    88, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 83.6954421997s, input_fired_time: 1.1317983866, output_fired_time: 0.7214468122, propagate_forward_time: 30.3480243683, propagate_backward_time: 49.0981483459, weight_update_time: 0.0943598300, other_time: 2.3960304260
epoch time: 6.4131917953s, input_fired_time: 0.1080467701, output_fired_time: 0.0000000000, propagate_forward_time: 5.9254422188, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3797030449
validation[          , genome  4469] predictions:    9635/  10000 (96.35%), best:    9668/10000 (96.68%), error:      1232.24194, best error:      1132.15771 on epoch:    88, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 82.4143371582s, input_fired_time: 1.3760839701, output_fired_time: 0.9596094489, propagate_forward_time: 30.4323577881, propagate_backward_time: 47.0269966125, weight_update_time: 0.0930439681, other_time: 2.6192893982
epoch time: 4.6416139603s, input_fired_time: 0.5902961493, output_fired_time: 0.0000000000, propagate_forward_time: 3.7407121658, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3106055260
validation[          , genome  4469] predictions:    9601/  10000 (96.01%), best:    9668/10000 (96.68%), error:      1298.52136, best error:      1132.15771 on epoch:    88, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 83.3576049805s, input_fired_time: 1.1362833977, output_fired_time: 0.7205854654, propagate_forward_time: 30.5554695129, propagate_backward_time: 47.5347824097, weight_update_time: 0.0948067829, other_time: 3.4104804993
epoch time: 7.1495504379s, input_fired_time: 0.1154790968, output_fired_time: 0.0000000000, propagate_forward_time: 6.6231527328, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4109187126
validation[          , genome  4469] predictions:    9596/  10000 (95.96%), best:    9668/10000 (96.68%), error:      1378.44592, best error:      1132.15771 on epoch:    88, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 89.9240798950s, input_fired_time: 1.9266903400, output_fired_time: 0.7694184184, propagate_forward_time: 33.7388916016, propagate_backward_time: 50.7077903748, weight_update_time: 0.1006632000, other_time: 2.7812919617
epoch time: 5.9139213562s, input_fired_time: 0.1008012667, output_fired_time: 0.0000000000, propagate_forward_time: 5.4611682892, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3519515991
validation[          , genome  4469] predictions:    9612/  10000 (96.12%), best:    9668/10000 (96.68%), error:      1298.93652, best error:      1132.15771 on epoch:    88, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 79.5006179810s, input_fired_time: 1.3607404232, output_fired_time: 0.9373133779, propagate_forward_time: 29.3028755188, propagate_backward_time: 45.3288307190, weight_update_time: 0.5905764699, other_time: 2.5708541870
epoch time: 6.3922376633s, input_fired_time: 0.1083109751, output_fired_time: 0.0000000000, propagate_forward_time: 5.9049019814, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3790245056
validation[          , genome  4469] predictions:    9650/  10000 (96.50%), best:    9668/10000 (96.68%), error:      1212.32874, best error:      1132.15771 on epoch:    88, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 78.8443832397s, input_fired_time: 1.1108921766, output_fired_time: 0.6834055185, propagate_forward_time: 27.8924446106, propagate_backward_time: 46.3517494202, weight_update_time: 0.0900465697, other_time: 2.8058929443
epoch time: 7.0833806992s, input_fired_time: 0.1134643331, output_fired_time: 0.0000000000, propagate_forward_time: 6.5711026192, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3988137245
validation[          , genome  4469] predictions:    9628/  10000 (96.28%), best:    9668/10000 (96.68%), error:      1257.43616, best error:      1132.15771 on epoch:    88, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 80.6159439087s, input_fired_time: 1.1188364029, output_fired_time: 0.6973435283, propagate_forward_time: 27.9813938141, propagate_backward_time: 46.9743003845, weight_update_time: 0.0917101279, other_time: 3.8440742493
epoch time: 6.9407320023s, input_fired_time: 0.1124162301, output_fired_time: 0.0000000000, propagate_forward_time: 6.1852560043, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6430597305
validation[          , genome  4469] predictions:    9588/  10000 (95.88%), best:    9668/10000 (96.68%), error:      1340.22925, best error:      1132.15771 on epoch:    88, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 93.4032211304s, input_fired_time: 0.9454380274, output_fired_time: 0.7958483696, propagate_forward_time: 37.2383995056, propagate_backward_time: 51.6037826538, weight_update_time: 0.3538957834, other_time: 2.8197593689
epoch time: 7.3603520393s, input_fired_time: 0.1188266352, output_fired_time: 0.0000000000, propagate_forward_time: 6.8244953156, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4170298576
validation[          , genome  4469] predictions:    9584/  10000 (95.84%), best:    9668/10000 (96.68%), error:      1403.82397, best error:      1132.15771 on epoch:    88, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 91.8674774170s, input_fired_time: 0.9325370193, output_fired_time: 0.7811901569, propagate_forward_time: 34.0530586243, propagate_backward_time: 53.5609779358, weight_update_time: 0.1022324190, other_time: 2.5397186279
epoch time: 8.7427921295s, input_fired_time: 0.1312121451, output_fired_time: 0.0000000000, propagate_forward_time: 8.1471557617, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4644241333
validation[          , genome  4469] predictions:    9610/  10000 (96.10%), best:    9668/10000 (96.68%), error:      1297.66260, best error:      1132.15771 on epoch:    88, 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: 39.3225250244s, input_fired_time: 0.8588542342, output_fired_time: 0.0000000000, propagate_forward_time: 35.7229995728, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7406730652
best training[          , genome  4469] predictions:   49076/  50000 (98.15%), best:    9668/10000 (96.68%), error:      3500.99414, best error:      1132.15771 on epoch:    88, 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: 7.9422245026s, input_fired_time: 0.1208516359, output_fired_time: 0.0000000000, propagate_forward_time: 7.1329798698, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6883931160
   testing[          , genome  4469] predictions:    9686/  10000 (96.86%), best:    9668/10000 (96.68%), error:      1030.99402, best error:      1132.15771 on epoch:    88, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
23:24:15 (11244): called boinc_finish(0)

</stderr_txt>
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