Nameexact_genome_1512568488_42_4491_1
Workunit2593648
Created7 Dec 2017, 10:09:15 UTC
Sent7 Dec 2017, 10:12:01 UTC
Report deadline17 Dec 2017, 13:27:19 UTC
Received7 Dec 2017, 23:52:35 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time4 hours 19 min 28 sec
CPU time3 hours 38 min 43 sec
Validate stateValid
Credit2,533.91
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size156.96 MB
Peak swap size159.82 MB
Peak disk usage2.32 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
3477s, input_fired_time: 1.3489682674, output_fired_time: 1.0345113277, propagate_forward_time: 37.2573471069, propagate_backward_time: 59.3352203369, weight_update_time: 0.1059760228, other_time: 2.0992126465
epoch time: 7.9645528793s, input_fired_time: 0.1535274833, output_fired_time: 0.0000000000, propagate_forward_time: 7.4313998222, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3796257973
validation[          , genome  4491] predictions:    9750/  10000 (97.50%), best:    9750/10000 (97.50%), error:       804.92224, best error:       804.92224 on epoch:    27, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 100.8482818604s, input_fired_time: 1.3488565683, output_fired_time: 1.0317616463, propagate_forward_time: 37.2184715271, propagate_backward_time: 59.1586723328, weight_update_time: 0.1053959057, other_time: 2.0905227661
epoch time: 9.3759393692s, input_fired_time: 0.1565191597, output_fired_time: 0.0000000000, propagate_forward_time: 8.8310832977, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3883371353
validation[          , genome  4491] predictions:    9747/  10000 (97.47%), best:    9747/10000 (97.47%), error:       789.63586, best error:       789.63586 on epoch:    28, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 138.6999053955s, input_fired_time: 1.6431680918, output_fired_time: 1.5664037466, propagate_forward_time: 51.1271476746, propagate_backward_time: 81.6794204712, weight_update_time: 0.1104592159, other_time: 2.6837539673
epoch time: 11.0727539063s, input_fired_time: 0.1605000049, output_fired_time: 0.0000000000, propagate_forward_time: 10.2653179169, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6469364166
validation[          , genome  4491] predictions:    9732/  10000 (97.32%), best:    9747/10000 (97.47%), error:       840.09845, best error:       789.63586 on epoch:    28, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 140.1737976074s, input_fired_time: 1.6590412855, output_fired_time: 1.0760152340, propagate_forward_time: 50.8763580322, propagate_backward_time: 84.1226882935, weight_update_time: 0.1107914895, other_time: 2.4396896362
epoch time: 11.0357780457s, input_fired_time: 0.4103755951, output_fired_time: 0.0000000000, propagate_forward_time: 10.2341260910, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3912763596
validation[          , genome  4491] predictions:    9725/  10000 (97.25%), best:    9747/10000 (97.47%), error:       922.17511, best error:       789.63586 on epoch:    28, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 139.9467926025s, input_fired_time: 1.6646149158, output_fired_time: 1.0776327848, propagate_forward_time: 52.7254600525, propagate_backward_time: 81.7942504883, weight_update_time: 0.1104996279, other_time: 2.6848297119
epoch time: 11.1336202621s, input_fired_time: 0.4107717872, output_fired_time: 0.0000000000, propagate_forward_time: 10.3221120834, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4007368088
validation[          , genome  4491] predictions:    9714/  10000 (97.14%), best:    9747/10000 (97.47%), error:       913.79181, best error:       789.63586 on epoch:    28, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 140.3760223389s, input_fired_time: 1.6664110422, output_fired_time: 1.0836836100, propagate_forward_time: 54.9458503723, propagate_backward_time: 79.7659301758, weight_update_time: 0.3593956232, other_time: 2.9141540527
epoch time: 11.0321197510s, input_fired_time: 0.1590407938, output_fired_time: 0.0000000000, propagate_forward_time: 9.9790620804, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8940172195
validation[          , genome  4491] predictions:    9729/  10000 (97.29%), best:    9747/10000 (97.47%), error:       843.87317, best error:       789.63586 on epoch:    28, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 138.7424621582s, input_fired_time: 1.3875452280, output_fired_time: 1.0664305687, propagate_forward_time: 52.1167716980, propagate_backward_time: 81.0335464478, weight_update_time: 0.1080322787, other_time: 3.1381607056
epoch time: 11.0887260437s, input_fired_time: 0.1612803191, output_fired_time: 0.0000000000, propagate_forward_time: 10.5351419449, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3923034668
validation[          , genome  4491] predictions:    9709/  10000 (97.09%), best:    9747/10000 (97.47%), error:       854.73633, best error:       789.63586 on epoch:    28, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 137.8993377686s, input_fired_time: 1.8865081072, output_fired_time: 1.8126168251, propagate_forward_time: 51.7602882385, propagate_backward_time: 79.8027572632, weight_update_time: 0.3583394885, other_time: 2.6371688843
epoch time: 10.9302883148s, input_fired_time: 0.1577013731, output_fired_time: 0.0000000000, propagate_forward_time: 10.3860063553, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3865804672
validation[          , genome  4491] predictions:    9755/  10000 (97.55%), best:    9747/10000 (97.47%), error:       807.41241, best error:       789.63586 on epoch:    28, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 138.1127319336s, input_fired_time: 2.3839299679, output_fired_time: 1.8101166487, propagate_forward_time: 49.9161148071, propagate_backward_time: 81.6015472412, weight_update_time: 0.1093112826, other_time: 2.4010238647
epoch time: 11.0218534470s, input_fired_time: 0.1586075872, output_fired_time: 0.0000000000, propagate_forward_time: 10.2162742615, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6469717026
validation[          , genome  4491] predictions:    9723/  10000 (97.23%), best:    9747/10000 (97.47%), error:       905.97540, best error:       789.63586 on epoch:    28, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 109.3755340576s, input_fired_time: 1.6101437807, output_fired_time: 1.2886209488, propagate_forward_time: 40.8769836426, propagate_backward_time: 63.4683189392, weight_update_time: 0.1080833972, other_time: 2.1314659119
epoch time: 7.9446654320s, input_fired_time: 0.1545504183, output_fired_time: 0.0000000000, propagate_forward_time: 7.4095773697, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3805375099
validation[          , genome  4491] predictions:    9709/  10000 (97.09%), best:    9747/10000 (97.47%), error:       895.93964, best error:       789.63586 on epoch:    28, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 100.7474594116s, input_fired_time: 1.3499283791, output_fired_time: 1.0306901932, propagate_forward_time: 37.0973625183, propagate_backward_time: 59.1331558228, weight_update_time: 0.1082523465, other_time: 2.1363182068
epoch time: 7.9404106140s, input_fired_time: 0.1542171389, output_fired_time: 0.0000000000, propagate_forward_time: 7.4050583839, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3811349869
validation[          , genome  4491] predictions:    9702/  10000 (97.02%), best:    9747/10000 (97.47%), error:       989.35620, best error:       789.63586 on epoch:    28, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 100.9433212280s, input_fired_time: 1.3602691889, output_fired_time: 1.0332854986, propagate_forward_time: 37.1274566650, propagate_backward_time: 59.2785453796, weight_update_time: 0.1086666137, other_time: 2.1437644958
epoch time: 7.9718437195s, input_fired_time: 0.1557404101, output_fired_time: 0.0000000000, propagate_forward_time: 7.4341430664, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3819603920
validation[          , genome  4491] predictions:    9675/  10000 (96.75%), best:    9747/10000 (97.47%), error:       983.59308, best error:       789.63586 on epoch:    28, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 100.8108825684s, input_fired_time: 1.3559592962, output_fired_time: 1.0311415195, propagate_forward_time: 37.1186180115, propagate_backward_time: 59.1650352478, weight_update_time: 0.1086035669, other_time: 2.1401290894
epoch time: 7.9466052055s, input_fired_time: 0.1536963582, output_fired_time: 0.0000000000, propagate_forward_time: 7.4115076065, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3814010620
validation[          , genome  4491] predictions:    9720/  10000 (97.20%), best:    9747/10000 (97.47%), error:       934.14563, best error:       789.63586 on epoch:    28, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 100.7834014893s, input_fired_time: 1.3534576893, output_fired_time: 1.0309649706, propagate_forward_time: 37.1135253906, propagate_backward_time: 59.1500511169, weight_update_time: 0.1081284732, other_time: 2.1354026794
epoch time: 7.9453330040s, input_fired_time: 0.1531751454, output_fired_time: 0.0000000000, propagate_forward_time: 7.4108948708, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3812627792
validation[          , genome  4491] predictions:    9758/  10000 (97.58%), best:    9758/10000 (97.58%), error:       762.20911, best error:       762.20911 on epoch:    40, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 100.9439392090s, input_fired_time: 1.3572772741, output_fired_time: 1.0335198641, propagate_forward_time: 37.1672058105, propagate_backward_time: 59.2458114624, weight_update_time: 0.1081458777, other_time: 2.1401214600
epoch time: 7.9479694366s, input_fired_time: 0.1528874487, output_fired_time: 0.0000000000, propagate_forward_time: 7.4127354622, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3823466301
validation[          , genome  4491] predictions:    9729/  10000 (97.29%), best:    9758/10000 (97.58%), error:       823.88147, best error:       762.20911 on epoch:    40, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 100.8886260986s, input_fired_time: 1.3610080481, output_fired_time: 1.0334863663, propagate_forward_time: 37.1435852051, propagate_backward_time: 59.2147789001, weight_update_time: 0.1083275825, other_time: 2.1357688904
epoch time: 7.9493474960s, input_fired_time: 0.1540158689, output_fired_time: 0.0000000000, propagate_forward_time: 7.4136095047, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3817219734
validation[          , genome  4491] predictions:    9751/  10000 (97.51%), best:    9758/10000 (97.58%), error:       788.52209, best error:       762.20911 on epoch:    40, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 101.1379928589s, input_fired_time: 1.3613770008, output_fired_time: 1.0345917940, propagate_forward_time: 37.2336959839, propagate_backward_time: 59.3410606384, weight_update_time: 0.1093715876, other_time: 2.1672706604
epoch time: 7.9529604912s, input_fired_time: 0.1556978673, output_fired_time: 0.0000000000, propagate_forward_time: 7.4101881981, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3870744705
validation[          , genome  4491] predictions:    9749/  10000 (97.49%), best:    9758/10000 (97.58%), error:       836.24042, best error:       762.20911 on epoch:    40, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 101.0398712158s, input_fired_time: 1.3620878458, output_fired_time: 1.0335988998, propagate_forward_time: 37.2024536133, propagate_backward_time: 59.2527847290, weight_update_time: 0.1106152609, other_time: 2.1889419556
epoch time: 7.9628038406s, input_fired_time: 0.1550061256, output_fired_time: 0.0000000000, propagate_forward_time: 7.4185433388, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3892545700
validation[          , genome  4491] predictions:    9778/  10000 (97.78%), best:    9778/10000 (97.78%), error:       725.94501, best error:       725.94501 on epoch:    44, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 101.1505889893s, input_fired_time: 1.3638958931, output_fired_time: 1.0343538523, propagate_forward_time: 37.2673416138, propagate_backward_time: 59.2932472229, weight_update_time: 0.1106009632, other_time: 2.1917457581
epoch time: 7.9838094711s, input_fired_time: 0.1544372737, output_fired_time: 0.0000000000, propagate_forward_time: 7.4401345253, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3892378807
validation[          , genome  4491] predictions:    9720/  10000 (97.20%), best:    9778/10000 (97.78%), error:       858.30084, best error:       725.94501 on epoch:    44, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 100.9708709717s, input_fired_time: 1.3622232676, output_fired_time: 1.0327656269, propagate_forward_time: 37.1701850891, propagate_backward_time: 59.2128372192, weight_update_time: 0.1105763689, other_time: 2.1928596497
epoch time: 7.9832625389s, input_fired_time: 0.1557557732, output_fired_time: 0.0000000000, propagate_forward_time: 7.4396739006, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3878326416
validation[          , genome  4491] predictions:    9733/  10000 (97.33%), best:    9778/10000 (97.78%), error:       842.97009, best error:       725.94501 on epoch:    44, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 101.0142440796s, input_fired_time: 1.3651622534, output_fired_time: 1.0321691036, propagate_forward_time: 37.2027893066, propagate_backward_time: 59.2258911133, weight_update_time: 0.1103602424, other_time: 2.1882324219
epoch time: 7.9481859207s, input_fired_time: 0.1537645012, output_fired_time: 0.0000000000, propagate_forward_time: 7.4097976685, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3846235275
validation[          , genome  4491] predictions:    9765/  10000 (97.65%), best:    9778/10000 (97.78%), error:       753.62744, best error:       725.94501 on epoch:    44, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 100.9353027344s, input_fired_time: 1.3640525341, output_fired_time: 1.0318259001, propagate_forward_time: 37.1664657593, propagate_backward_time: 59.2079887390, weight_update_time: 0.1094269380, other_time: 2.1649742126
epoch time: 7.9996767044s, input_fired_time: 0.1551945359, output_fired_time: 0.0000000000, propagate_forward_time: 7.4576015472, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3868803978
validation[          , genome  4491] predictions:    9745/  10000 (97.45%), best:    9778/10000 (97.78%), error:       817.63599, best error:       725.94501 on epoch:    44, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 100.9393692017s, input_fired_time: 1.3650261164, output_fired_time: 1.0319432020, propagate_forward_time: 37.1611824036, propagate_backward_time: 59.2185745239, weight_update_time: 0.1095938161, other_time: 2.1626396179
epoch time: 7.9917287827s, input_fired_time: 0.1554838717, output_fired_time: 0.0000000000, propagate_forward_time: 7.4498839378, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3863611221
validation[          , genome  4491] predictions:    9690/  10000 (96.90%), best:    9778/10000 (97.78%), error:      1041.61865, best error:       725.94501 on epoch:    44, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 101.1022491455s, input_fired_time: 1.3677639961, output_fired_time: 1.0340198278, propagate_forward_time: 37.2528190613, propagate_backward_time: 59.2786026001, weight_update_time: 0.1095472276, other_time: 2.1690406799
epoch time: 7.9549808502s, input_fired_time: 0.1558171809, output_fired_time: 0.0000000000, propagate_forward_time: 7.4134135246, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3857502937
validation[          , genome  4491] predictions:    9752/  10000 (97.52%), best:    9778/10000 (97.78%), error:       790.80688, best error:       725.94501 on epoch:    44, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 130.4340972900s, input_fired_time: 1.3973087072, output_fired_time: 1.3050739765, propagate_forward_time: 48.8475227356, propagate_backward_time: 75.9074401855, weight_update_time: 0.6127776504, other_time: 2.9767456055
epoch time: 10.9680814743s, input_fired_time: 0.1597811580, output_fired_time: 0.0000000000, propagate_forward_time: 10.4116544724, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3966455460
validation[          , genome  4491] predictions:    9758/  10000 (97.58%), best:    9778/10000 (97.78%), error:       758.89899, best error:       725.94501 on epoch:    44, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 138.0610961914s, input_fired_time: 1.9124102592, output_fired_time: 1.3089047670, propagate_forward_time: 52.7261619568, propagate_backward_time: 79.1121292114, weight_update_time: 0.1138194278, other_time: 3.0014877319
epoch time: 10.9561109543s, input_fired_time: 0.1599772424, output_fired_time: 0.0000000000, propagate_forward_time: 10.3937559128, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4023780823
validation[          , genome  4491] predictions:    9717/  10000 (97.17%), best:    9778/10000 (97.78%), error:       878.53668, best error:       725.94501 on epoch:    44, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 138.4436340332s, input_fired_time: 1.4098507166, output_fired_time: 1.8133124113, propagate_forward_time: 50.4030761719, propagate_backward_time: 81.5623016357, weight_update_time: 0.1139428169, other_time: 3.2550964355
epoch time: 11.0839118958s, input_fired_time: 0.4130240679, output_fired_time: 0.0000000000, propagate_forward_time: 10.2687263489, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4021615982
validation[          , genome  4491] predictions:    9748/  10000 (97.48%), best:    9778/10000 (97.78%), error:       817.04224, best error:       725.94501 on epoch:    44, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 138.5447082520s, input_fired_time: 2.1645188332, output_fired_time: 1.3181935549, propagate_forward_time: 51.7750129700, propagate_backward_time: 80.0319061279, weight_update_time: 0.1139018908, other_time: 3.2550811768
epoch time: 10.9892950058s, input_fired_time: 0.1625070870, output_fired_time: 0.0000000000, propagate_forward_time: 10.1776590347, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6491289139
validation[          , genome  4491] predictions:    9726/  10000 (97.26%), best:    9778/10000 (97.78%), error:       937.16266, best error:       725.94501 on epoch:    44, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 138.4921875000s, input_fired_time: 1.4121906757, output_fired_time: 1.8109421730, propagate_forward_time: 52.4466705322, propagate_backward_time: 79.8253784180, weight_update_time: 0.1136510074, other_time: 2.9970092773
epoch time: 10.9274454117s, input_fired_time: 0.1597412080, output_fired_time: 0.0000000000, propagate_forward_time: 10.3701028824, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3976011276
validation[          , genome  4491] predictions:    9744/  10000 (97.44%), best:    9778/10000 (97.78%), error:       811.40894, best error:       725.94501 on epoch:    44, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 137.4833831787s, input_fired_time: 2.1515169144, output_fired_time: 1.0538995266, propagate_forward_time: 49.6949005127, propagate_backward_time: 81.0666809082, weight_update_time: 0.1142813563, other_time: 3.5163879395
epoch time: 10.9278697968s, input_fired_time: 0.1591329128, output_fired_time: 0.0000000000, propagate_forward_time: 10.3724164963, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3963203430
validation[          , genome  4491] predictions:    9750/  10000 (97.50%), best:    9778/10000 (97.78%), error:       796.29419, best error:       725.94501 on epoch:    44, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 137.9972229004s, input_fired_time: 1.4055994749, output_fired_time: 1.0534014702, propagate_forward_time: 51.0766105652, propagate_backward_time: 80.6889266968, weight_update_time: 0.1146002710, other_time: 3.7726821899
epoch time: 10.6507911682s, input_fired_time: 0.1602179259, output_fired_time: 0.0000000000, propagate_forward_time: 9.8396587372, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6509141922
validation[          , genome  4491] predictions:    9734/  10000 (97.34%), best:    9778/10000 (97.78%), error:       876.65900, best error:       725.94501 on epoch:    44, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 137.8056793213s, input_fired_time: 1.4021847248, output_fired_time: 1.3013044596, propagate_forward_time: 50.3760261536, propagate_backward_time: 81.9623413086, weight_update_time: 0.1144113541, other_time: 2.7638244629
epoch time: 10.6645393372s, input_fired_time: 0.1589742154, output_fired_time: 0.0000000000, propagate_forward_time: 10.1042833328, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4012813568
validation[          , genome  4491] predictions:    9738/  10000 (97.38%), best:    9778/10000 (97.78%), error:       822.75824, best error:       725.94501 on epoch:    44, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 137.2213592529s, input_fired_time: 2.4012739658, output_fired_time: 1.3031548262, propagate_forward_time: 48.9598884583, propagate_backward_time: 81.2862625122, weight_update_time: 0.3650979102, other_time: 3.2707748413
epoch time: 10.9374980927s, input_fired_time: 0.4105128348, output_fired_time: 0.0000000000, propagate_forward_time: 9.8685235977, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6584615707
validation[          , genome  4491] predictions:    9734/  10000 (97.34%), best:    9778/10000 (97.78%), error:       813.67621, best error:       725.94501 on epoch:    44, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 137.4869537354s, input_fired_time: 1.4079107046, output_fired_time: 2.3043751717, propagate_forward_time: 51.3349571228, propagate_backward_time: 80.1736297607, weight_update_time: 0.1145772263, other_time: 2.2660675049
epoch time: 10.6874446869s, input_fired_time: 0.1603679508, output_fired_time: 0.0000000000, propagate_forward_time: 9.8713951111, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6556816101
validation[          , genome  4491] predictions:    9711/  10000 (97.11%), best:    9778/10000 (97.78%), error:       904.71667, best error:       725.94501 on epoch:    44, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 137.3283538818s, input_fired_time: 2.1564850807, output_fired_time: 1.2956050634, propagate_forward_time: 48.5298271179, propagate_backward_time: 82.3190383911, weight_update_time: 0.1153324246, other_time: 3.0273971558
epoch time: 10.6568422318s, input_fired_time: 0.1620518714, output_fired_time: 0.0000000000, propagate_forward_time: 9.8405656815, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6542243958
validation[          , genome  4491] predictions:    9760/  10000 (97.60%), best:    9760/10000 (97.60%), error:       724.61572, best error:       724.61572 on epoch:    61, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 136.0936126709s, input_fired_time: 2.1430056095, output_fired_time: 1.2955508232, propagate_forward_time: 49.9898757935, propagate_backward_time: 79.3966598511, weight_update_time: 0.3644877672, other_time: 3.2685241699
epoch time: 10.7899475098s, input_fired_time: 0.1590812355, output_fired_time: 0.0000000000, propagate_forward_time: 9.9794197083, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6514463425
validation[          , genome  4491] predictions:    9738/  10000 (97.38%), best:    9760/10000 (97.60%), error:       833.64728, best error:       724.61572 on epoch:    61, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 135.9753112793s, input_fired_time: 2.1439623833, output_fired_time: 1.7985427380, propagate_forward_time: 49.4399757385, propagate_backward_time: 78.8369445801, weight_update_time: 0.1139704660, other_time: 3.7558898926
epoch time: 10.8367500305s, input_fired_time: 0.1576936543, output_fired_time: 0.0000000000, propagate_forward_time: 10.2778139114, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4012422562
validation[          , genome  4491] predictions:    9730/  10000 (97.30%), best:    9760/10000 (97.60%), error:       848.11560, best error:       724.61572 on epoch:    61, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 135.4186248779s, input_fired_time: 1.6350464821, output_fired_time: 1.7870481014, propagate_forward_time: 49.9906501770, propagate_backward_time: 79.0026168823, weight_update_time: 0.1139304936, other_time: 3.0032730103
epoch time: 10.7725915909s, input_fired_time: 0.1583808064, output_fired_time: 0.0000000000, propagate_forward_time: 10.2167139053, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3974971771
validation[          , genome  4491] predictions:    9753/  10000 (97.53%), best:    9760/10000 (97.60%), error:       769.65393, best error:       724.61572 on epoch:    61, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 135.1742401123s, input_fired_time: 1.6367297173, output_fired_time: 1.2875138521, propagate_forward_time: 51.5148620605, propagate_backward_time: 78.4928512573, weight_update_time: 0.1133222952, other_time: 2.2422714233
epoch time: 10.7608499527s, input_fired_time: 0.1562559605, output_fired_time: 0.0000000000, propagate_forward_time: 10.2088890076, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3957052231
validation[          , genome  4491] predictions:    9728/  10000 (97.28%), best:    9760/10000 (97.60%), error:       851.15155, best error:       724.61572 on epoch:    61, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 135.6705932617s, input_fired_time: 2.6398823261, output_fired_time: 1.2964422703, propagate_forward_time: 50.1185035706, propagate_backward_time: 78.6217193604, weight_update_time: 0.3633455634, other_time: 2.9940490723
epoch time: 10.8960218430s, input_fired_time: 0.4112003148, output_fired_time: 0.0000000000, propagate_forward_time: 10.0833883286, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4014329910
validation[          , genome  4491] predictions:    9749/  10000 (97.49%), best:    9760/10000 (97.60%), error:       801.16431, best error:       724.61572 on epoch:    61, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 135.7429656982s, input_fired_time: 1.3874729872, output_fired_time: 1.2914423943, propagate_forward_time: 49.0261650085, propagate_backward_time: 80.7874145508, weight_update_time: 0.1136023328, other_time: 3.2504730225
epoch time: 10.8351144791s, input_fired_time: 0.1595195681, output_fired_time: 0.0000000000, propagate_forward_time: 9.5261821747, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1494131088
validation[          , genome  4491] predictions:    9726/  10000 (97.26%), best:    9760/10000 (97.60%), error:       881.42877, best error:       724.61572 on epoch:    61, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 135.2604980469s, input_fired_time: 1.6340333223, output_fired_time: 1.0361157656, propagate_forward_time: 50.3559761047, propagate_backward_time: 79.4869384766, weight_update_time: 0.1133565083, other_time: 2.7474365234
epoch time: 10.7935857773s, input_fired_time: 0.1601420939, output_fired_time: 0.0000000000, propagate_forward_time: 9.9848365784, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6486072540
validation[          , genome  4491] predictions:    9752/  10000 (97.52%), best:    9760/10000 (97.60%), error:       804.38739, best error:       724.61572 on epoch:    61, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 135.1165313721s, input_fired_time: 1.6365178823, output_fired_time: 1.2884790897, propagate_forward_time: 50.1570663452, propagate_backward_time: 79.0400619507, weight_update_time: 0.3632015884, other_time: 2.9944000244
epoch time: 10.7665233612s, input_fired_time: 0.4081566930, output_fired_time: 0.0000000000, propagate_forward_time: 9.9616327286, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3967342377
validation[          , genome  4491] predictions:    9761/  10000 (97.61%), best:    9760/10000 (97.60%), error:       753.68219, best error:       724.61572 on epoch:    61, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 134.9646759033s, input_fired_time: 1.6338121891, output_fired_time: 1.0358433723, propagate_forward_time: 49.6293144226, propagate_backward_time: 79.9256210327, weight_update_time: 0.1131538004, other_time: 2.7400741577
epoch time: 10.8365507126s, input_fired_time: 0.1574366540, output_fired_time: 0.0000000000, propagate_forward_time: 10.0326204300, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6464939117
validation[          , genome  4491] predictions:    9742/  10000 (97.42%), best:    9760/10000 (97.60%), error:       833.75995, best error:       724.61572 on epoch:    61, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 135.3261413574s, input_fired_time: 1.6337696314, output_fired_time: 1.0369906425, propagate_forward_time: 49.9464378357, propagate_backward_time: 79.7231216431, weight_update_time: 0.1129300147, other_time: 2.9858169556
epoch time: 10.7347202301s, input_fired_time: 0.1586255282, output_fired_time: 0.0000000000, propagate_forward_time: 10.1821002960, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3939943314
validation[          , genome  4491] predictions:    9740/  10000 (97.40%), best:    9760/10000 (97.60%), error:       818.93927, best error:       724.61572 on epoch:    61, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 119.5364227295s, input_fired_time: 1.6290384531, output_fired_time: 1.2832202911, propagate_forward_time: 43.7642860413, propagate_backward_time: 70.1410522461, weight_update_time: 0.1121733040, other_time: 2.7188262939
epoch time: 7.9904427528s, input_fired_time: 0.1573347896, output_fired_time: 0.0000000000, propagate_forward_time: 7.4418463707, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3912615776
validation[          , genome  4491] predictions:    9757/  10000 (97.57%), best:    9760/10000 (97.60%), error:       808.09802, best error:       724.61572 on epoch:    61, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 101.0315093994s, input_fired_time: 1.3750368357, output_fired_time: 1.0341408253, propagate_forward_time: 37.1717529297, propagate_backward_time: 59.2569656372, weight_update_time: 0.1107222736, other_time: 2.1936111450
epoch time: 7.9736285210s, input_fired_time: 0.1571775824, output_fired_time: 0.0000000000, propagate_forward_time: 7.4266567230, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3897943497
validation[          , genome  4491] predictions:    9735/  10000 (97.35%), best:    9760/10000 (97.60%), error:       852.36975, best error:       724.61572 on epoch:    61, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 101.0574264526s, input_fired_time: 1.3746459484, output_fired_time: 1.0342628956, propagate_forward_time: 37.1872596741, propagate_backward_time: 59.2691230774, weight_update_time: 0.1106746718, other_time: 2.1921310425
epoch time: 7.9877877235s, input_fired_time: 0.1563388556, output_fired_time: 0.0000000000, propagate_forward_time: 7.4411764145, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3902726173
validation[          , genome  4491] predictions:    9741/  10000 (97.41%), best:    9760/10000 (97.60%), error:       868.04968, best error:       724.61572 on epoch:    61, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

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_42_4491.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_42_4491_1_r1442513133_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: 0.979542
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000266796
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.06719e-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: 75
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 61
read number_validation_images: 10000
read best_validation_predictions: 9760
read best_validation_error: 724.616
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: 4491
read normal distribution: '0 0.948224067687988 -0.145773142576218'
generator_str: '433102608'
read generator: 433102608
read generated_by_map:
1 crossover 1
reading 29 nodes.
reading 79 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: 184.414245605469s, input_fired_time: 2.04395461082458, output_fired_time: 1.79591274261475, propagate_forward_time: 70.6560363769531, propagate_backward_time: 106.478454589844, weight_update_time: 0.179052233695984, other_time: 3.43988037109375
epoch time: 14.6883020401001s, input_fired_time: 0.283350735902786, output_fired_time: 0, propagate_forward_time: 13.7629413604736, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.642009735107422
validation[          , genome  4491] predictions:    9767/  10000 (97.67%), best:    9760/10000 (97.60%), error:       778.25702, best error:       724.61572 on epoch:    61, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 184.1281738281s, input_fired_time: 1.9979175329, output_fired_time: 1.8343586922, propagate_forward_time: 70.4670791626, propagate_backward_time: 106.5411911011, weight_update_time: 0.1666186303, other_time: 3.2876129150
epoch time: 15.7517910004s, input_fired_time: 0.2629317045, output_fired_time: 0.0000000000, propagate_forward_time: 14.8198423386, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6690168381
validation[          , genome  4491] predictions:    9761/  10000 (97.61%), best:    9760/10000 (97.60%), error:       786.92017, best error:       724.61572 on epoch:    61, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 185.6739959717s, input_fired_time: 1.9944123030, output_fired_time: 1.8981908560, propagate_forward_time: 70.8358840942, propagate_backward_time: 107.5208206177, weight_update_time: 0.1649115980, other_time: 3.4246826172
epoch time: 14.6724643707s, input_fired_time: 0.2453548908, output_fired_time: 0.0000000000, propagate_forward_time: 13.8524580002, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5746517181
validation[          , genome  4491] predictions:    9761/  10000 (97.61%), best:    9760/10000 (97.60%), error:       754.20459, best error:       724.61572 on epoch:    61, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 185.8871612549s, input_fired_time: 2.1178708076, output_fired_time: 1.8473407030, propagate_forward_time: 71.1765899658, propagate_backward_time: 107.1273574829, weight_update_time: 0.1672468632, other_time: 3.6180038452
epoch time: 14.4921503067s, input_fired_time: 0.2236589044, output_fired_time: 0.0000000000, propagate_forward_time: 13.6839466095, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5845451355
validation[          , genome  4491] predictions:    9722/  10000 (97.22%), best:    9760/10000 (97.60%), error:       936.78809, best error:       724.61572 on epoch:    61, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 178.4904022217s, input_fired_time: 2.0443713665, output_fired_time: 1.6500966549, propagate_forward_time: 68.1931991577, propagate_backward_time: 103.1469192505, weight_update_time: 0.1660979241, other_time: 3.4558105469
epoch time: 14.5463142395s, input_fired_time: 0.2369650900, output_fired_time: 0.0000000000, propagate_forward_time: 13.7666807175, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5426683426
validation[          , genome  4491] predictions:    9769/  10000 (97.69%), best:    9760/10000 (97.60%), error:       764.02539, best error:       724.61572 on epoch:    61, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 177.3697357178s, input_fired_time: 2.1442353725, output_fired_time: 1.6220469475, propagate_forward_time: 67.7156677246, propagate_backward_time: 102.5819473267, weight_update_time: 0.2091940939, other_time: 3.3058395386
epoch time: 14.2371664047s, input_fired_time: 0.2234530896, output_fired_time: 0.0000000000, propagate_forward_time: 13.3846845627, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6290283203
validation[          , genome  4491] predictions:    9734/  10000 (97.34%), best:    9760/10000 (97.60%), error:       861.97852, best error:       724.61572 on epoch:    61, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 175.6522827148s, input_fired_time: 1.9959744215, output_fired_time: 1.6701445580, propagate_forward_time: 67.0637130737, propagate_backward_time: 101.6078338623, weight_update_time: 0.2412714064, other_time: 3.3146133423
epoch time: 14.7603082657s, input_fired_time: 0.2206549495, output_fired_time: 0.0000000000, propagate_forward_time: 13.8688259125, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6708278656
validation[          , genome  4491] predictions:    9719/  10000 (97.19%), best:    9760/10000 (97.60%), error:       865.54785, best error:       724.61572 on epoch:    61, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 175.3758544922s, input_fired_time: 1.8578350544, output_fired_time: 1.6359874010, propagate_forward_time: 67.0338821411, propagate_backward_time: 101.6524276733, weight_update_time: 0.1630121022, other_time: 3.1957244873
epoch time: 13.6138086319s, input_fired_time: 0.2375493050, output_fired_time: 0.0000000000, propagate_forward_time: 12.8147277832, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5615310669
validation[          , genome  4491] predictions:    9735/  10000 (97.35%), best:    9760/10000 (97.60%), error:       831.91150, best error:       724.61572 on epoch:    61, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

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_42_4491.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_42_4491_1_r1442513133_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: 0.983062
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000176998
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.07993e-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: 83
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 61
read number_validation_images: 10000
read best_validation_predictions: 9760
read best_validation_error: 724.616
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: 4491
read normal distribution: '0 0.948224067687988 -0.145773142576218'
generator_str: '325511353'
read generator: 325511353
read generated_by_map:
1 crossover 1
reading 29 nodes.
reading 79 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: 289.368316650391s, input_fired_time: 2.64767456054688, output_fired_time: 3.15627479553223, propagate_forward_time: 108.733459472656, propagate_backward_time: 169.594940185547, weight_update_time: 0.200424283742905, other_time: 5.2359619140625
epoch time: 24.1565780639648s, input_fired_time: 0.531956791877747, output_fired_time: 0, propagate_forward_time: 22.6987838745117, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.925836563110352
validation[          , genome  4491] predictions:    9714/  10000 (97.14%), best:    9760/10000 (97.60%), error:       879.54675, best error:       724.61572 on epoch:    61, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 334.8734741211s, input_fired_time: 3.5067718029, output_fired_time: 2.6989085674, propagate_forward_time: 126.9293212891, propagate_backward_time: 196.5554656982, weight_update_time: 0.1850732267, other_time: 5.1829986572
epoch time: 28.0026626587s, input_fired_time: 0.3281644583, output_fired_time: 0.0000000000, propagate_forward_time: 26.2655296326, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4089679718
validation[          , genome  4491] predictions:    9746/  10000 (97.46%), best:    9760/10000 (97.60%), error:       833.16400, best error:       724.61572 on epoch:    61, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 387.5862121582s, input_fired_time: 3.2080700397, output_fired_time: 2.7960124016, propagate_forward_time: 151.9918518066, propagate_backward_time: 223.0161743164, weight_update_time: 0.3094286919, other_time: 6.5740966797
epoch time: 32.2589416504s, input_fired_time: 0.8581985235, output_fired_time: 0.0000000000, propagate_forward_time: 30.0820198059, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3187236786
validation[          , genome  4491] predictions:    9704/  10000 (97.04%), best:    9760/10000 (97.60%), error:       937.47107, best error:       724.61572 on epoch:    61, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 341.1296386719s, input_fired_time: 3.5685553551, output_fired_time: 2.6756196022, propagate_forward_time: 136.5336303711, propagate_backward_time: 192.3884124756, weight_update_time: 0.2469959259, other_time: 5.9634246826
epoch time: 25.2246913910s, input_fired_time: 0.5300901532, output_fired_time: 0.0000000000, propagate_forward_time: 23.5063629150, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1882381439
validation[          , genome  4491] predictions:    9761/  10000 (97.61%), best:    9760/10000 (97.60%), error:       776.95654, best error:       724.61572 on epoch:    61, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 285.6766357422s, input_fired_time: 3.1456024647, output_fired_time: 2.4271938801, propagate_forward_time: 113.7581253052, propagate_backward_time: 160.6107788086, weight_update_time: 0.2160400450, other_time: 5.7349548340
epoch time: 22.4489898682s, input_fired_time: 0.5004859567, output_fired_time: 0.0000000000, propagate_forward_time: 21.3066520691, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6418514252
validation[          , genome  4491] predictions:    9762/  10000 (97.62%), best:    9760/10000 (97.60%), error:       775.77063, best error:       724.61572 on epoch:    61, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 272.2808532715s, input_fired_time: 3.4589679241, output_fired_time: 2.9050669670, propagate_forward_time: 99.7911529541, propagate_backward_time: 160.3801574707, weight_update_time: 0.1845606863, other_time: 5.7455291748
epoch time: 22.6598834991s, input_fired_time: 0.5320113897, output_fired_time: 0.0000000000, propagate_forward_time: 20.7358131409, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3920593262
validation[          , genome  4491] predictions:    9731/  10000 (97.31%), best:    9760/10000 (97.60%), error:       810.44891, best error:       724.61572 on epoch:    61, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 271.5153808594s, input_fired_time: 2.5066351891, output_fired_time: 2.5304486752, propagate_forward_time: 108.3432006836, propagate_backward_time: 154.0755157471, weight_update_time: 0.1845811903, other_time: 4.0595855713
epoch time: 22.0124778748s, input_fired_time: 0.3138368130, output_fired_time: 0.0000000000, propagate_forward_time: 20.5411033630, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1575374603
validation[          , genome  4491] predictions:    9745/  10000 (97.45%), best:    9760/10000 (97.60%), error:       802.76007, best error:       724.61572 on epoch:    61, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 176.9046630859s, input_fired_time: 1.9903938770, output_fired_time: 1.6337473392, propagate_forward_time: 67.8466491699, propagate_backward_time: 102.2582702637, weight_update_time: 0.1648513377, other_time: 3.1756134033
epoch time: 13.6539449692s, input_fired_time: 0.2213780135, output_fired_time: 0.0000000000, propagate_forward_time: 12.8555898666, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5769767761
validation[          , genome  4491] predictions:    9741/  10000 (97.41%), best:    9760/10000 (97.60%), error:       806.92053, best error:       724.61572 on epoch:    61, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 172.5246887207s, input_fired_time: 1.8872537613, output_fired_time: 1.5963495970, propagate_forward_time: 66.3141403198, propagate_backward_time: 99.4739608765, weight_update_time: 0.1659813374, other_time: 3.2529907227
epoch time: 14.9405403137s, input_fired_time: 0.2311651111, output_fired_time: 0.0000000000, propagate_forward_time: 14.1148567200, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5945186615
validation[          , genome  4491] predictions:    9746/  10000 (97.46%), best:    9760/10000 (97.60%), error:       842.02765, best error:       724.61572 on epoch:    61, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 171.8963317871s, input_fired_time: 1.8763471842, output_fired_time: 1.6245965958, propagate_forward_time: 65.6411209106, propagate_backward_time: 99.5440597534, weight_update_time: 0.1647909433, other_time: 3.2102050781
epoch time: 14.7461223602s, input_fired_time: 0.2567015886, output_fired_time: 0.0000000000, propagate_forward_time: 13.8436164856, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6458044052
validation[          , genome  4491] predictions:    9752/  10000 (97.52%), best:    9760/10000 (97.60%), error:       800.73413, best error:       724.61572 on epoch:    61, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 169.6393585205s, input_fired_time: 1.8701145649, output_fired_time: 1.5874663591, propagate_forward_time: 65.3451766968, propagate_backward_time: 97.6787719727, weight_update_time: 0.1640690565, other_time: 3.1578292847
epoch time: 14.3440923691s, input_fired_time: 0.2254720181, output_fired_time: 0.0000000000, propagate_forward_time: 13.5648727417, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5537471771
validation[          , genome  4491] predictions:    9748/  10000 (97.48%), best:    9760/10000 (97.60%), error:       825.33093, best error:       724.61572 on epoch:    61, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 167.2767486572s, input_fired_time: 1.7905539274, output_fired_time: 1.5484383106, propagate_forward_time: 64.0020599365, propagate_backward_time: 96.7880096436, weight_update_time: 0.1763409823, other_time: 3.1476898193
epoch time: 12.8763380051s, input_fired_time: 0.2306909561, output_fired_time: 0.0000000000, propagate_forward_time: 12.0840883255, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5615587234
validation[          , genome  4491] predictions:    9737/  10000 (97.37%), best:    9760/10000 (97.60%), error:       850.32330, best error:       724.61572 on epoch:    61, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 163.8737945557s, input_fired_time: 1.7995896339, output_fired_time: 1.6831430197, propagate_forward_time: 62.5747184753, propagate_backward_time: 94.7657394409, weight_update_time: 0.1599939764, other_time: 3.0506057739
epoch time: 13.5305023193s, input_fired_time: 0.2174263000, output_fired_time: 0.0000000000, propagate_forward_time: 12.7466049194, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5664710999
validation[          , genome  4491] predictions:    9752/  10000 (97.52%), best:    9760/10000 (97.60%), error:       808.61316, best error:       724.61572 on epoch:    61, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 163.9706115723s, input_fired_time: 1.8032522202, output_fired_time: 1.5229383707, propagate_forward_time: 62.6822242737, propagate_backward_time: 94.7684936523, weight_update_time: 0.1600138992, other_time: 3.1937103271
epoch time: 13.4845857620s, input_fired_time: 0.2469826192, output_fired_time: 0.0000000000, propagate_forward_time: 12.5969810486, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6406221390
validation[          , genome  4491] predictions:    9753/  10000 (97.53%), best:    9760/10000 (97.60%), error:       796.06445, best error:       724.61572 on epoch:    61, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 161.2073211670s, input_fired_time: 1.8475072384, output_fired_time: 1.5193068981, propagate_forward_time: 61.6980094910, propagate_backward_time: 93.1677780151, weight_update_time: 0.1578722298, other_time: 2.9747238159
epoch time: 13.0171871185s, input_fired_time: 0.2323509008, output_fired_time: 0.0000000000, propagate_forward_time: 12.2562875748, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5285482407
validation[          , genome  4491] predictions:    9764/  10000 (97.64%), best:    9760/10000 (97.60%), error:       740.00757, best error:       724.61572 on epoch:    61, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 161.1179656982s, input_fired_time: 1.7685106993, output_fired_time: 1.5224219561, propagate_forward_time: 61.6842346191, propagate_backward_time: 93.1578750610, weight_update_time: 0.1574671566, other_time: 2.9849319458
epoch time: 12.8467187881s, input_fired_time: 0.2162394971, output_fired_time: 0.0000000000, propagate_forward_time: 12.0989189148, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5315599442
validation[          , genome  4491] predictions:    9711/  10000 (97.11%), best:    9760/10000 (97.60%), error:       894.69281, best error:       724.61572 on epoch:    61, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 160.9437255859s, input_fired_time: 1.7728370428, output_fired_time: 1.5608593225, propagate_forward_time: 61.5467796326, propagate_backward_time: 93.0165328979, weight_update_time: 0.1585024595, other_time: 3.0467147827
epoch time: 12.8184986115s, input_fired_time: 0.2165814638, output_fired_time: 0.0000000000, propagate_forward_time: 12.0694732666, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5324440002
validation[          , genome  4491] predictions:    9750/  10000 (97.50%), best:    9760/10000 (97.60%), error:       795.25989, best error:       724.61572 on epoch:    61, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 157.5969390869s, input_fired_time: 1.8073769808, output_fired_time: 1.5217851400, propagate_forward_time: 60.2704887390, propagate_backward_time: 91.0505065918, weight_update_time: 0.1568625271, other_time: 2.9467773438
epoch time: 12.5825510025s, input_fired_time: 0.2160264254, output_fired_time: 0.0000000000, propagate_forward_time: 11.8386793137, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5278453827
validation[          , genome  4491] predictions:    9741/  10000 (97.41%), best:    9760/10000 (97.60%), error:       805.35150, best error:       724.61572 on epoch:    61, 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: 62.8657112122s, input_fired_time: 1.0780066252, output_fired_time: 0.0000000000, propagate_forward_time: 59.0621414185, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7255630493
best training[          , genome  4491] predictions:   49627/  50000 (99.25%), best:    9760/10000 (97.60%), error:      1493.32068, best error:       724.61572 on epoch:    61, 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: 12.4236688614s, input_fired_time: 0.2112529576, output_fired_time: 0.0000000000, propagate_forward_time: 11.6870651245, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5253505707
   testing[          , genome  4491] predictions:    9782/  10000 (97.82%), best:    9760/10000 (97.60%), error:       689.57605, best error:       724.61572 on epoch:    61, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
00:46:56 (6932): called boinc_finish(0)

</stderr_txt>
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