Nameexact_genome_1512568488_43_4480_0
Workunit2593666
Created7 Dec 2017, 10:09:20 UTC
Sent7 Dec 2017, 10:12:37 UTC
Report deadline14 Dec 2017, 18:21:08 UTC
Received7 Dec 2017, 23:52:35 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time2 hours 58 min 39 sec
CPU time2 hours 30 min 50 sec
Validate stateValid
Credit1,834.81
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size154.87 MB
Peak swap size157.88 MB
Peak disk usage1.90 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
33/10000 (97.33%), error:       851.77997, best error:       851.77997 on epoch:    26, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 71.2033081055s, input_fired_time: 0.7717216611, output_fired_time: 0.5842924118, propagate_forward_time: 25.8216590881, propagate_backward_time: 42.2551155090, weight_update_time: 0.0886819288, other_time: 1.7705230713
epoch time: 5.5843248367s, input_fired_time: 0.0895517245, output_fired_time: 0.0000000000, propagate_forward_time: 5.1777291298, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3170437813
validation[          , genome  4480] predictions:    9676/  10000 (96.76%), best:    9733/10000 (97.33%), error:      1037.31482, best error:       851.77997 on epoch:    26, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 71.1979598999s, input_fired_time: 0.7720652819, output_fired_time: 0.5842857957, propagate_forward_time: 25.8179111481, propagate_backward_time: 42.2560577393, weight_update_time: 0.0884197801, other_time: 1.7676391602
epoch time: 5.5692219734s, input_fired_time: 0.0882753208, output_fired_time: 0.0000000000, propagate_forward_time: 5.1641530991, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3167934418
validation[          , genome  4480] predictions:    9712/  10000 (97.12%), best:    9733/10000 (97.33%), error:       942.60724, best error:       851.77997 on epoch:    26, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 71.2574462891s, input_fired_time: 0.7726184726, output_fired_time: 0.5847082138, propagate_forward_time: 25.8502388000, propagate_backward_time: 42.2772483826, weight_update_time: 0.0887664109, other_time: 1.7726287842
epoch time: 5.5686945915s, input_fired_time: 0.0892260745, output_fired_time: 0.0000000000, propagate_forward_time: 5.1635451317, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3159232140
validation[          , genome  4480] predictions:    9723/  10000 (97.23%), best:    9733/10000 (97.33%), error:       909.49963, best error:       851.77997 on epoch:    26, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 71.2124099731s, input_fired_time: 0.7752452493, output_fired_time: 0.5848283768, propagate_forward_time: 25.8244075775, propagate_backward_time: 42.2574043274, weight_update_time: 0.0883650333, other_time: 1.7705192566
epoch time: 5.5757226944s, input_fired_time: 0.0894293711, output_fired_time: 0.0000000000, propagate_forward_time: 5.1684412956, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3178520203
validation[          , genome  4480] predictions:    9725/  10000 (97.25%), best:    9733/10000 (97.33%), error:       978.92139, best error:       851.77997 on epoch:    26, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 71.2814865112s, input_fired_time: 0.7740262151, output_fired_time: 0.5848825574, propagate_forward_time: 25.8538208008, propagate_backward_time: 42.2977485657, weight_update_time: 0.0887167752, other_time: 1.7710075378
epoch time: 5.5681900978s, input_fired_time: 0.0885922089, output_fired_time: 0.0000000000, propagate_forward_time: 5.1622366905, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3173613548
validation[          , genome  4480] predictions:    9678/  10000 (96.78%), best:    9733/10000 (97.33%), error:      1056.52307, best error:       851.77997 on epoch:    26, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 71.2887954712s, input_fired_time: 0.7742051482, output_fired_time: 0.5853676796, propagate_forward_time: 25.8588314056, propagate_backward_time: 42.2960586548, weight_update_time: 0.0889389664, other_time: 1.7743301392
epoch time: 5.5769233704s, input_fired_time: 0.0903187171, output_fired_time: 0.0000000000, propagate_forward_time: 5.1670432091, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3195614815
validation[          , genome  4480] predictions:    9734/  10000 (97.34%), best:    9733/10000 (97.33%), error:       922.59534, best error:       851.77997 on epoch:    26, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 71.4495773315s, input_fired_time: 0.7756388783, output_fired_time: 0.5873803496, propagate_forward_time: 25.8937397003, propagate_backward_time: 42.3878135681, weight_update_time: 0.0901672468, other_time: 1.8050041199
epoch time: 5.5745000839s, input_fired_time: 0.0899352208, output_fired_time: 0.0000000000, propagate_forward_time: 5.1650695801, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3194952011
validation[          , genome  4480] predictions:    9683/  10000 (96.83%), best:    9733/10000 (97.33%), error:      1050.97852, best error:       851.77997 on epoch:    26, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 71.3041534424s, input_fired_time: 0.7759954929, output_fired_time: 0.5847111940, propagate_forward_time: 25.8432369232, propagate_backward_time: 42.2910079956, weight_update_time: 0.0903909802, other_time: 1.8092041016
epoch time: 5.6005911827s, input_fired_time: 0.0903126001, output_fired_time: 0.0000000000, propagate_forward_time: 5.1878790855, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3223996162
validation[          , genome  4480] predictions:    9684/  10000 (96.84%), best:    9733/10000 (97.33%), error:      1024.37598, best error:       851.77997 on epoch:    26, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 71.3663635254s, input_fired_time: 0.7767547369, output_fired_time: 0.5851404667, propagate_forward_time: 25.8626766205, propagate_backward_time: 42.3324813843, weight_update_time: 0.0903249308, other_time: 1.8093032837
epoch time: 5.5815930367s, input_fired_time: 0.0890637860, output_fired_time: 0.0000000000, propagate_forward_time: 5.1722202301, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3203091621
validation[          , genome  4480] predictions:    9724/  10000 (97.24%), best:    9733/10000 (97.33%), error:       870.96313, best error:       851.77997 on epoch:    26, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 71.2959671021s, input_fired_time: 0.7774765491, output_fired_time: 0.5846881866, propagate_forward_time: 25.8400917053, propagate_backward_time: 42.2847137451, weight_update_time: 0.0904329866, other_time: 1.8090019226
epoch time: 5.5760898590s, input_fired_time: 0.0896469653, output_fired_time: 0.0000000000, propagate_forward_time: 5.1665401459, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3199028969
validation[          , genome  4480] predictions:    9703/  10000 (97.03%), best:    9733/10000 (97.33%), error:       980.70020, best error:       851.77997 on epoch:    26, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 71.2864532471s, input_fired_time: 0.7776305676, output_fired_time: 0.5852701664, propagate_forward_time: 25.8328723907, propagate_backward_time: 42.2835845947, weight_update_time: 0.0904365778, other_time: 1.8070907593
epoch time: 5.5787696838s, input_fired_time: 0.0901400074, output_fired_time: 0.0000000000, propagate_forward_time: 5.1684212685, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3202085495
validation[          , genome  4480] predictions:    9748/  10000 (97.48%), best:    9748/10000 (97.48%), error:       830.92395, best error:       830.92395 on epoch:    37, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 71.3026428223s, input_fired_time: 0.7783085704, output_fired_time: 0.5849485993, propagate_forward_time: 25.8539371490, propagate_backward_time: 42.2813186646, weight_update_time: 0.0903541595, other_time: 1.8041381836
epoch time: 5.5772151947s, input_fired_time: 0.0903509483, output_fired_time: 0.0000000000, propagate_forward_time: 5.1657967567, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3210673332
validation[          , genome  4480] predictions:    9726/  10000 (97.26%), best:    9748/10000 (97.48%), error:       902.72382, best error:       830.92395 on epoch:    37, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 71.3100051880s, input_fired_time: 0.7777979374, output_fired_time: 0.5853231549, propagate_forward_time: 25.8513050079, propagate_backward_time: 42.3015747070, weight_update_time: 0.0895103291, other_time: 1.7940063477
epoch time: 5.6354279518s, input_fired_time: 0.0900893286, output_fired_time: 0.0000000000, propagate_forward_time: 5.2229862213, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3223524094
validation[          , genome  4480] predictions:    9688/  10000 (96.88%), best:    9748/10000 (97.48%), error:       988.16449, best error:       830.92395 on epoch:    37, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 71.3237609863s, input_fired_time: 0.7798607945, output_fired_time: 0.5845885873, propagate_forward_time: 25.8268165588, propagate_backward_time: 42.3482170105, weight_update_time: 0.0892098099, other_time: 1.7842788696
epoch time: 5.5756087303s, input_fired_time: 0.0905598924, output_fired_time: 0.0000000000, propagate_forward_time: 5.1667451859, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3183035851
validation[          , genome  4480] predictions:    9718/  10000 (97.18%), best:    9748/10000 (97.48%), error:       929.97675, best error:       830.92395 on epoch:    37, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 71.3083877563s, input_fired_time: 0.7800593972, output_fired_time: 0.5849263072, propagate_forward_time: 25.8599472046, propagate_backward_time: 42.2962188721, weight_update_time: 0.0894750580, other_time: 1.7872390747
epoch time: 5.5753002167s, input_fired_time: 0.0901000947, output_fired_time: 0.0000000000, propagate_forward_time: 5.1667733192, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3184266090
validation[          , genome  4480] predictions:    9746/  10000 (97.46%), best:    9748/10000 (97.48%), error:       848.50513, best error:       830.92395 on epoch:    37, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 72.3294677734s, input_fired_time: 0.7810656428, output_fired_time: 0.5851905942, propagate_forward_time: 25.8699970245, propagate_backward_time: 43.0508193970, weight_update_time: 0.0895671993, other_time: 2.0423965454
epoch time: 7.4517688751s, input_fired_time: 0.3424963653, output_fired_time: 0.0000000000, propagate_forward_time: 6.7800631523, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3292093277
validation[          , genome  4480] predictions:    9729/  10000 (97.29%), best:    9748/10000 (97.48%), error:       894.40442, best error:       830.92395 on epoch:    37, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 97.1098327637s, input_fired_time: 0.7950059175, output_fired_time: 0.8473529816, propagate_forward_time: 34.6194190979, propagate_backward_time: 58.0023117065, weight_update_time: 0.0923955292, other_time: 2.8457450867
epoch time: 7.4307050705s, input_fired_time: 0.0930912495, output_fired_time: 0.0000000000, propagate_forward_time: 7.0120244026, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3255896568
validation[          , genome  4480] predictions:    9736/  10000 (97.36%), best:    9748/10000 (97.48%), error:       865.95569, best error:       830.92395 on epoch:    37, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 97.1806869507s, input_fired_time: 1.3008232117, output_fired_time: 0.5990612507, propagate_forward_time: 34.0529365540, propagate_backward_time: 58.3772125244, weight_update_time: 0.3430292010, other_time: 2.8506584167
epoch time: 7.7575597763s, input_fired_time: 0.0938372016, output_fired_time: 0.0000000000, propagate_forward_time: 7.0863947868, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5773277283
validation[          , genome  4480] predictions:    9702/  10000 (97.02%), best:    9748/10000 (97.48%), error:       922.07776, best error:       830.92395 on epoch:    37, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 97.9975433350s, input_fired_time: 1.0549956560, output_fired_time: 0.6001368165, propagate_forward_time: 35.4782028198, propagate_backward_time: 58.2525405884, weight_update_time: 0.0933826938, other_time: 2.6116714478
epoch time: 7.4910650253s, input_fired_time: 0.0924624726, output_fired_time: 0.0000000000, propagate_forward_time: 6.8187904358, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5798120499
validation[          , genome  4480] predictions:    9630/  10000 (96.30%), best:    9748/10000 (97.48%), error:      1152.30688, best error:       830.92395 on epoch:    37, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 98.4575729370s, input_fired_time: 0.8098318577, output_fired_time: 0.8576066494, propagate_forward_time: 35.6304168701, propagate_backward_time: 59.0443954468, weight_update_time: 0.0935757384, other_time: 2.1153259277
epoch time: 7.8747339249s, input_fired_time: 0.0954081193, output_fired_time: 0.0000000000, propagate_forward_time: 7.4460611343, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3332648277
validation[          , genome  4480] predictions:    9728/  10000 (97.28%), best:    9748/10000 (97.48%), error:       939.83972, best error:       830.92395 on epoch:    37, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 98.3487854004s, input_fired_time: 1.3086450100, output_fired_time: 0.6058567762, propagate_forward_time: 33.5562667847, propagate_backward_time: 59.9991874695, weight_update_time: 0.0942919850, other_time: 2.8788261414
epoch time: 7.7311396599s, input_fired_time: 0.0922607556, output_fired_time: 0.0000000000, propagate_forward_time: 7.3082604408, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3306183815
validation[          , genome  4480] predictions:    9720/  10000 (97.20%), best:    9748/10000 (97.48%), error:       906.66644, best error:       830.92395 on epoch:    37, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 98.1305694580s, input_fired_time: 1.0572243929, output_fired_time: 0.8551214337, propagate_forward_time: 35.2165718079, propagate_backward_time: 58.6352462769, weight_update_time: 0.0934564546, other_time: 2.3664054871
epoch time: 7.5550441742s, input_fired_time: 0.0935971290, output_fired_time: 0.0000000000, propagate_forward_time: 7.1282277107, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3332195282
validation[          , genome  4480] predictions:    9729/  10000 (97.29%), best:    9748/10000 (97.48%), error:       887.17297, best error:       830.92395 on epoch:    37, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 98.6809921265s, input_fired_time: 1.3095644712, output_fired_time: 0.6082893014, propagate_forward_time: 35.8732147217, propagate_backward_time: 58.7728309631, weight_update_time: 0.0935470238, other_time: 2.1170921326
epoch time: 7.7500481606s, input_fired_time: 0.0936979949, output_fired_time: 0.0000000000, propagate_forward_time: 7.0775399208, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5788102150
validation[          , genome  4480] predictions:    9645/  10000 (96.45%), best:    9748/10000 (97.48%), error:      1113.31006, best error:       830.92395 on epoch:    37, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 97.1539306641s, input_fired_time: 1.2972160578, output_fired_time: 0.5987893343, propagate_forward_time: 34.7551651001, propagate_backward_time: 57.6386299133, weight_update_time: 0.0936110243, other_time: 2.8641242981
epoch time: 7.4351177216s, input_fired_time: 0.0926453248, output_fired_time: 0.0000000000, propagate_forward_time: 7.0167365074, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3257360458
validation[          , genome  4480] predictions:    9731/  10000 (97.31%), best:    9748/10000 (97.48%), error:       933.31653, best error:       830.92395 on epoch:    37, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 96.9050064087s, input_fired_time: 1.0449947119, output_fired_time: 0.8461973667, propagate_forward_time: 33.8787727356, propagate_backward_time: 59.0322570801, weight_update_time: 0.0928429961, other_time: 2.1027793884
epoch time: 7.7188062668s, input_fired_time: 0.0936129913, output_fired_time: 0.0000000000, propagate_forward_time: 7.2952971458, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3298959732
validation[          , genome  4480] predictions:    9746/  10000 (97.46%), best:    9748/10000 (97.48%), error:       887.00208, best error:       830.92395 on epoch:    37, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 96.8131713867s, input_fired_time: 0.7972006202, output_fired_time: 0.5958008766, propagate_forward_time: 35.1442260742, propagate_backward_time: 57.9234695435, weight_update_time: 0.0926228464, other_time: 2.3524703979
epoch time: 7.4157047272s, input_fired_time: 0.3432506919, output_fired_time: 0.0000000000, propagate_forward_time: 6.7445788383, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3278751373
validation[          , genome  4480] predictions:    9677/  10000 (96.77%), best:    9748/10000 (97.48%), error:      1008.44055, best error:       830.92395 on epoch:    37, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 97.1621932983s, input_fired_time: 1.0497125387, output_fired_time: 0.5965877771, propagate_forward_time: 36.1985435486, propagate_backward_time: 56.9650917053, weight_update_time: 0.3427033126, other_time: 2.3522567749
epoch time: 7.4331588745s, input_fired_time: 0.0924784094, output_fired_time: 0.0000000000, propagate_forward_time: 7.0146398544, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3260407448
validation[          , genome  4480] predictions:    9736/  10000 (97.36%), best:    9748/10000 (97.48%), error:       880.74158, best error:       830.92395 on epoch:    37, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 97.0140686035s, input_fired_time: 0.7987409234, output_fired_time: 0.8509509563, propagate_forward_time: 35.6869926453, propagate_backward_time: 57.0585021973, weight_update_time: 0.0934200287, other_time: 2.6188774109
epoch time: 7.8377709389s, input_fired_time: 0.0947020501, output_fired_time: 0.0000000000, propagate_forward_time: 7.4115123749, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3315563202
validation[          , genome  4480] predictions:    9718/  10000 (97.18%), best:    9748/10000 (97.48%), error:       928.03467, best error:       830.92395 on epoch:    37, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 96.3801803589s, input_fired_time: 1.0471854210, output_fired_time: 0.8422563672, propagate_forward_time: 34.2917327881, propagate_backward_time: 57.5748672485, weight_update_time: 0.0928972960, other_time: 2.6241378784
epoch time: 7.6741952896s, input_fired_time: 0.0917559415, output_fired_time: 0.0000000000, propagate_forward_time: 7.0032806396, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5791587830
validation[          , genome  4480] predictions:    9747/  10000 (97.47%), best:    9747/10000 (97.47%), error:       827.61237, best error:       827.61237 on epoch:    55, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 96.5636596680s, input_fired_time: 1.0490971804, output_fired_time: 0.5964429975, propagate_forward_time: 34.8601875305, propagate_backward_time: 57.9337997437, weight_update_time: 0.3439372182, other_time: 2.1241340637
epoch time: 7.6984348297s, input_fired_time: 0.0931132659, output_fired_time: 0.0000000000, propagate_forward_time: 7.2715058327, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3338155746
validation[          , genome  4480] predictions:    9674/  10000 (96.74%), best:    9747/10000 (97.47%), error:      1025.12219, best error:       827.61237 on epoch:    55, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 97.0565567017s, input_fired_time: 1.0517061949, output_fired_time: 0.5989891291, propagate_forward_time: 35.4968948364, propagate_backward_time: 57.5451393127, weight_update_time: 0.0931691900, other_time: 2.3638267517
epoch time: 7.4357352257s, input_fired_time: 0.0935582072, output_fired_time: 0.0000000000, propagate_forward_time: 6.7638745308, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5783023834
validation[          , genome  4480] predictions:    9732/  10000 (97.32%), best:    9747/10000 (97.47%), error:       838.56769, best error:       827.61237 on epoch:    55, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 97.1654281616s, input_fired_time: 1.0514478683, output_fired_time: 0.5976188779, propagate_forward_time: 35.9157524109, propagate_backward_time: 56.9790306091, weight_update_time: 0.3432587981, other_time: 2.6215820313
epoch time: 7.4193868637s, input_fired_time: 0.0939222723, output_fired_time: 0.0000000000, propagate_forward_time: 6.9944224358, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3310422897
validation[          , genome  4480] predictions:    9671/  10000 (96.71%), best:    9747/10000 (97.47%), error:      1105.99963, best error:       827.61237 on epoch:    55, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 96.3792800903s, input_fired_time: 1.2990094423, output_fired_time: 0.5939915180, propagate_forward_time: 34.7723426819, propagate_backward_time: 56.5983238220, weight_update_time: 0.0929858834, other_time: 3.1156082153
epoch time: 7.6897583008s, input_fired_time: 0.0923938975, output_fired_time: 0.0000000000, propagate_forward_time: 7.0179557800, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5794086456
validation[          , genome  4480] predictions:    9737/  10000 (97.37%), best:    9747/10000 (97.47%), error:       873.09845, best error:       827.61237 on epoch:    55, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 95.8912048340s, input_fired_time: 0.7946581841, output_fired_time: 1.0902739763, propagate_forward_time: 34.6056976318, propagate_backward_time: 57.0358352661, weight_update_time: 0.3429805040, other_time: 2.3647460938
epoch time: 7.6470580101s, input_fired_time: 0.0934844837, output_fired_time: 0.0000000000, propagate_forward_time: 6.7257795334, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8277940750
validation[          , genome  4480] predictions:    9660/  10000 (96.60%), best:    9747/10000 (97.47%), error:      1102.55310, best error:       827.61237 on epoch:    55, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 96.4677505493s, input_fired_time: 1.0469930172, output_fired_time: 0.8587793112, propagate_forward_time: 35.2687683105, propagate_backward_time: 56.6787452698, weight_update_time: 0.0931732431, other_time: 2.6144676208
epoch time: 7.3385634422s, input_fired_time: 0.0920831114, output_fired_time: 0.0000000000, propagate_forward_time: 6.9206748009, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3258056641
validation[          , genome  4480] predictions:    9738/  10000 (97.38%), best:    9747/10000 (97.47%), error:       872.79364, best error:       827.61237 on epoch:    55, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 95.4179382324s, input_fired_time: 1.0399940014, output_fired_time: 0.5881982446, propagate_forward_time: 36.2223358154, propagate_backward_time: 55.4702415466, weight_update_time: 0.0919720829, other_time: 2.0971717834
epoch time: 7.5991497040s, input_fired_time: 0.0921885967, output_fired_time: 0.0000000000, propagate_forward_time: 6.6804809570, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8264799118
validation[          , genome  4480] predictions:    9746/  10000 (97.46%), best:    9747/10000 (97.47%), error:       862.68475, best error:       827.61237 on epoch:    55, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 95.5722198486s, input_fired_time: 1.5411870480, output_fired_time: 0.8388985991, propagate_forward_time: 35.0135421753, propagate_backward_time: 55.8325347900, weight_update_time: 0.0920447931, other_time: 2.3460617065
epoch time: 7.4203290939s, input_fired_time: 0.0928910673, output_fired_time: 0.0000000000, propagate_forward_time: 6.9977836609, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3296542168
validation[          , genome  4480] predictions:    9741/  10000 (97.41%), best:    9747/10000 (97.47%), error:       836.53186, best error:       827.61237 on epoch:    55, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 96.2622985840s, input_fired_time: 0.7964671254, output_fired_time: 0.5925771594, propagate_forward_time: 35.4685974121, propagate_backward_time: 56.8012809753, weight_update_time: 0.0921507403, other_time: 2.6033744812
epoch time: 7.4423265457s, input_fired_time: 0.0937937349, output_fired_time: 0.0000000000, propagate_forward_time: 7.0181317329, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3304009438
validation[          , genome  4480] predictions:    9738/  10000 (97.38%), best:    9747/10000 (97.47%), error:       838.95972, best error:       827.61237 on epoch:    55, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 96.3337478638s, input_fired_time: 1.0473996401, output_fired_time: 0.5927027464, propagate_forward_time: 34.7428588867, propagate_backward_time: 57.8464279175, weight_update_time: 0.0924497992, other_time: 2.1043548584
epoch time: 7.7038316727s, input_fired_time: 0.0932079777, output_fired_time: 0.0000000000, propagate_forward_time: 7.0297818184, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5808420181
validation[          , genome  4480] predictions:    9706/  10000 (97.06%), best:    9747/10000 (97.47%), error:      1007.21393, best error:       827.61237 on epoch:    55, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 95.9615631104s, input_fired_time: 1.2975109816, output_fired_time: 0.8419906497, propagate_forward_time: 35.7468681335, propagate_backward_time: 55.7201766968, weight_update_time: 0.0926084965, other_time: 2.3550224304
epoch time: 7.3817133904s, input_fired_time: 0.0932340696, output_fired_time: 0.0000000000, propagate_forward_time: 6.9602122307, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3282670975
validation[          , genome  4480] predictions:    9614/  10000 (96.14%), best:    9747/10000 (97.47%), error:      1308.55432, best error:       827.61237 on epoch:    55, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 91.4558868408s, input_fired_time: 1.0421828032, output_fired_time: 0.5872216225, propagate_forward_time: 34.7435417175, propagate_backward_time: 53.2384910583, weight_update_time: 0.0919961557, other_time: 1.8444519043
epoch time: 5.5844168663s, input_fired_time: 0.0927210748, output_fired_time: 0.0000000000, propagate_forward_time: 5.1676878929, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3240079880
validation[          , genome  4480] predictions:    9717/  10000 (97.17%), best:    9747/10000 (97.47%), error:       982.82727, best error:       827.61237 on epoch:    55, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 71.3769073486s, input_fired_time: 0.7882463336, output_fired_time: 0.5855070353, propagate_forward_time: 25.8686695099, propagate_backward_time: 42.3118515015, weight_update_time: 0.0909337029, other_time: 1.8226318359
epoch time: 5.5895018578s, input_fired_time: 0.0925316140, output_fired_time: 0.0000000000, propagate_forward_time: 5.1720013618, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3249688148
validation[          , genome  4480] predictions:    9713/  10000 (97.13%), best:    9747/10000 (97.47%), error:       899.28046, best error:       827.61237 on epoch:    55, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 71.3584899902s, input_fired_time: 0.7882118225, output_fired_time: 0.5858803988, propagate_forward_time: 25.8599548340, propagate_backward_time: 42.3058509827, weight_update_time: 0.0909214467, other_time: 1.8185920715
epoch time: 5.5844054222s, input_fired_time: 0.0923641846, output_fired_time: 0.0000000000, propagate_forward_time: 5.1691393852, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3229017258
validation[          , genome  4480] predictions:    9737/  10000 (97.37%), best:    9747/10000 (97.47%), error:       849.72906, best error:       827.61237 on epoch:    55, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 71.5166854858s, input_fired_time: 0.7889885306, output_fired_time: 0.5863521695, propagate_forward_time: 25.9047241211, propagate_backward_time: 42.4152832031, weight_update_time: 0.0908241645, other_time: 1.8213424683
epoch time: 5.5832295418s, input_fired_time: 0.0919801965, output_fired_time: 0.0000000000, propagate_forward_time: 5.1682147980, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3230347633
validation[          , genome  4480] predictions:    9695/  10000 (96.95%), best:    9747/10000 (97.47%), error:       953.03833, best error:       827.61237 on epoch:    55, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 71.3939590454s, input_fired_time: 0.7866022587, output_fired_time: 0.5852716565, propagate_forward_time: 25.8677215576, propagate_backward_time: 42.3310317993, weight_update_time: 0.0911344364, other_time: 1.8233261108
epoch time: 5.5799598694s, input_fired_time: 0.0909930617, output_fired_time: 0.0000000000, propagate_forward_time: 5.1678791046, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3210878372
validation[          , genome  4480] predictions:    9748/  10000 (97.48%), best:    9747/10000 (97.47%), error:       854.21259, best error:       827.61237 on epoch:    55, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 71.4295196533s, input_fired_time: 0.7878586054, output_fired_time: 0.5855504870, propagate_forward_time: 25.8815803528, propagate_backward_time: 42.3561172485, weight_update_time: 0.0906019509, other_time: 1.8184165955
epoch time: 5.5799922943s, input_fired_time: 0.0917759165, output_fired_time: 0.0000000000, propagate_forward_time: 5.1656794548, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3225369453
validation[          , genome  4480] predictions:    9712/  10000 (97.12%), best:    9747/10000 (97.47%), error:       926.29425, best error:       827.61237 on epoch:    55, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 71.3574218750s, input_fired_time: 0.7874279022, output_fired_time: 0.5858674645, propagate_forward_time: 25.8553733826, propagate_backward_time: 42.3124885559, weight_update_time: 0.0905481800, other_time: 1.8162612915
epoch time: 5.5826625824s, input_fired_time: 0.0924425125, output_fired_time: 0.0000000000, propagate_forward_time: 5.1684303284, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3217897415
validation[          , genome  4480] predictions:    9720/  10000 (97.20%), best:    9747/10000 (97.47%), error:       896.92883, best error:       827.61237 on epoch:    55, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 71.4439926147s, input_fired_time: 0.7891728282, output_fired_time: 0.5863012075, propagate_forward_time: 25.8782768250, propagate_backward_time: 42.3740997314, weight_update_time: 0.0906178281, other_time: 1.8161430359
epoch time: 5.6040191650s, input_fired_time: 0.0927051678, output_fired_time: 0.0000000000, propagate_forward_time: 5.1883153915, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3229985237
validation[          , genome  4480] predictions:    9714/  10000 (97.14%), best:    9747/10000 (97.47%), error:       968.92395, best error:       827.61237 on epoch:    55, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 71.3231124878s, input_fired_time: 0.7889525890, output_fired_time: 0.5850293636, propagate_forward_time: 25.8411617279, propagate_backward_time: 42.2939949036, weight_update_time: 0.0906168073, other_time: 1.8139686584
epoch time: 5.5835857391s, input_fired_time: 0.0927323177, output_fired_time: 0.0000000000, propagate_forward_time: 5.1689286232, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3219246864
validation[          , genome  4480] predictions:    9736/  10000 (97.36%), best:    9736/10000 (97.36%), error:       823.47754, best error:       823.47754 on epoch:    75, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 71.3157043457s, input_fired_time: 0.7886587381, output_fired_time: 0.5853082538, propagate_forward_time: 25.8422565460, propagate_backward_time: 42.2880439758, weight_update_time: 0.0902932137, other_time: 1.8114356995
epoch time: 5.5806756020s, input_fired_time: 0.0919284821, output_fired_time: 0.0000000000, propagate_forward_time: 5.1670045853, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3217425346
validation[          , genome  4480] predictions:    9735/  10000 (97.35%), best:    9736/10000 (97.36%), error:       845.82654, best error:       823.47754 on epoch:    75, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 71.3692398071s, input_fired_time: 0.7909616232, output_fired_time: 0.5854123831, propagate_forward_time: 25.8635349274, propagate_backward_time: 42.3231887817, weight_update_time: 0.0901677832, other_time: 1.8061447144
epoch time: 5.5876288414s, input_fired_time: 0.0925208703, output_fired_time: 0.0000000000, propagate_forward_time: 5.1729655266, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3221426010
validation[          , genome  4480] predictions:    9749/  10000 (97.49%), best:    9749/10000 (97.49%), error:       817.73108, best error:       817.73108 on epoch:    77, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 71.3614578247s, input_fired_time: 0.7905556560, output_fired_time: 0.5856822133, propagate_forward_time: 25.8608703613, propagate_backward_time: 42.3148765564, weight_update_time: 0.0904099643, other_time: 1.8094673157
epoch time: 5.5817584991s, input_fired_time: 0.0925352350, output_fired_time: 0.0000000000, propagate_forward_time: 5.1679034233, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3213200569
validation[          , genome  4480] predictions:    9740/  10000 (97.40%), best:    9749/10000 (97.49%), error:       838.84906, best error:       817.73108 on epoch:    77, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_4480.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_4480_0_r1415980101_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: 0.981482
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000217307
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 8.69229e-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: 79
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 77
read number_validation_images: 10000
read best_validation_predictions: 9749
read best_validation_error: 817.731
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: 4480
read normal distribution: '1 0 0'
generator_str: '1180103353'
read generator: 1180103353
read generated_by_map:
1 crossover 1
reading 21 nodes.
reading 48 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 130.168380737305s, input_fired_time: 1.24341118335724, output_fired_time: 0.990986108779907, propagate_forward_time: 49.1255302429199, propagate_backward_time: 75.9439315795898, weight_update_time: 0.136756673455238, other_time: 2.86452484130859
epoch time: 10.0903491973877s, input_fired_time: 0.143702194094658, output_fired_time: 0, propagate_forward_time: 9.4834623336792, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.463184356689453
validation[          , genome  4480] predictions:    9744/  10000 (97.44%), best:    9749/10000 (97.49%), error:       834.54004, best error:       817.73108 on epoch:    77, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 134.4075775146s, input_fired_time: 1.1765441895, output_fired_time: 1.0949126482, propagate_forward_time: 50.8944587708, propagate_backward_time: 78.3735046387, weight_update_time: 0.1357899755, other_time: 2.8681640625
epoch time: 10.3727159500s, input_fired_time: 0.1325182766, output_fired_time: 0.0000000000, propagate_forward_time: 9.7297687531, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5104293823
validation[          , genome  4480] predictions:    9735/  10000 (97.35%), best:    9749/10000 (97.49%), error:       844.08002, best error:       817.73108 on epoch:    77, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 131.8670654297s, input_fired_time: 1.0893646479, output_fired_time: 1.0259702206, propagate_forward_time: 50.1502113342, propagate_backward_time: 76.7469558716, weight_update_time: 0.1530847102, other_time: 2.8545608521
epoch time: 10.6112613678s, input_fired_time: 0.1438030601, output_fired_time: 0.0000000000, propagate_forward_time: 9.9641475677, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5033111572
validation[          , genome  4480] predictions:    9749/  10000 (97.49%), best:    9749/10000 (97.49%), error:       801.99829, best error:       801.99829 on epoch:    81, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 136.1491546631s, input_fired_time: 1.2112240791, output_fired_time: 0.9730889797, propagate_forward_time: 51.3658638000, propagate_backward_time: 79.8182067871, weight_update_time: 0.1361417621, other_time: 2.7807769775
epoch time: 11.2203159332s, input_fired_time: 0.1317795068, output_fired_time: 0.0000000000, propagate_forward_time: 10.6027736664, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4857625961
validation[          , genome  4480] predictions:    9708/  10000 (97.08%), best:    9749/10000 (97.49%), error:       983.31812, best error:       801.99829 on epoch:    81, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 129.3931427002s, input_fired_time: 1.2908365726, output_fired_time: 0.9926354885, propagate_forward_time: 49.3613395691, propagate_backward_time: 74.9937438965, weight_update_time: 0.1356799304, other_time: 2.7545928955
epoch time: 10.8862247467s, input_fired_time: 0.1570800692, output_fired_time: 0.0000000000, propagate_forward_time: 10.2279634476, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5011816025
validation[          , genome  4480] predictions:    9708/  10000 (97.08%), best:    9749/10000 (97.49%), error:       943.17755, best error:       801.99829 on epoch:    81, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 207.4038543701s, input_fired_time: 1.9215244055, output_fired_time: 1.7672903538, propagate_forward_time: 80.0135269165, propagate_backward_time: 119.5542144775, weight_update_time: 0.2443691939, other_time: 4.1473007202
epoch time: 17.0971317291s, input_fired_time: 0.1758072823, output_fired_time: 0.0000000000, propagate_forward_time: 16.3597240448, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5615997314
validation[          , genome  4480] predictions:    9744/  10000 (97.44%), best:    9749/10000 (97.49%), error:       890.64771, best error:       801.99829 on epoch:    81, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 215.7313537598s, input_fired_time: 1.5485115051, output_fired_time: 1.9028078318, propagate_forward_time: 83.8722229004, propagate_backward_time: 124.4668807983, weight_update_time: 0.1518783122, other_time: 3.9409408569
epoch time: 17.9699420929s, input_fired_time: 0.4110090435, output_fired_time: 0.0000000000, propagate_forward_time: 16.4213619232, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1375713348
validation[          , genome  4480] predictions:    9728/  10000 (97.28%), best:    9749/10000 (97.49%), error:       852.29797, best error:       801.99829 on epoch:    81, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 225.6432495117s, input_fired_time: 1.9029967785, output_fired_time: 1.8556782007, propagate_forward_time: 83.4273681641, propagate_backward_time: 132.9887237549, weight_update_time: 0.1677667797, other_time: 5.4684753418
epoch time: 18.0442085266s, input_fired_time: 0.2232089192, output_fired_time: 0.0000000000, propagate_forward_time: 17.1689376831, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6520614624
validation[          , genome  4480] predictions:    9717/  10000 (97.17%), best:    9749/10000 (97.49%), error:       948.18292, best error:       801.99829 on epoch:    81, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_4480.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_4480_0_r1415980101_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: 0.984349
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000144166
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 5.76664e-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: 87
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 81
read number_validation_images: 10000
read best_validation_predictions: 9749
read best_validation_error: 801.998
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: 4480
read normal distribution: '1 0 0'
generator_str: '1734845613'
read generator: 1734845613
read generated_by_map:
1 crossover 1
reading 21 nodes.
reading 48 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 234.571411132813s, input_fired_time: 2.06868577003479, output_fired_time: 2.64874267578125, propagate_forward_time: 93.0801620483398, propagate_backward_time: 131.806121826172, weight_update_time: 0.215027406811714, other_time: 4.96771240234375
epoch time: 20.6771564483643s, input_fired_time: 0.208320677280426, output_fired_time: 0, propagate_forward_time: 19.878101348877, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.590734481811523
validation[          , genome  4480] predictions:    9728/  10000 (97.28%), best:    9749/10000 (97.49%), error:       863.00745, best error:       801.99829 on epoch:    81, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 244.0938110352s, input_fired_time: 2.1921460629, output_fired_time: 1.9139989614, propagate_forward_time: 94.1710128784, propagate_backward_time: 140.5272521973, weight_update_time: 0.7155649066, other_time: 5.2893981934
epoch time: 20.2431488037s, input_fired_time: 0.3949624002, output_fired_time: 0.0000000000, propagate_forward_time: 18.2708091736, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5773773193
validation[          , genome  4480] predictions:    9763/  10000 (97.63%), best:    9749/10000 (97.49%), error:       828.23547, best error:       801.99829 on epoch:    81, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 230.3737487793s, input_fired_time: 2.5680780411, output_fired_time: 1.5256791115, propagate_forward_time: 89.4895782471, propagate_backward_time: 131.2785491943, weight_update_time: 0.7300543785, other_time: 5.5118560791
epoch time: 16.8248767853s, input_fired_time: 0.1763907224, output_fired_time: 0.0000000000, propagate_forward_time: 16.0728244781, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5756607056
validation[          , genome  4480] predictions:    9720/  10000 (97.20%), best:    9749/10000 (97.49%), error:       926.47943, best error:       801.99829 on epoch:    81, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 137.9445648193s, input_fired_time: 1.1073024273, output_fired_time: 0.9860352278, propagate_forward_time: 53.3091964722, propagate_backward_time: 79.4398040771, weight_update_time: 0.1398171932, other_time: 3.1022262573
epoch time: 11.5912780762s, input_fired_time: 0.1825778484, output_fired_time: 0.0000000000, propagate_forward_time: 10.8841066360, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5245933533
validation[          , genome  4480] predictions:    9753/  10000 (97.53%), best:    9749/10000 (97.49%), error:       811.03766, best error:       801.99829 on epoch:    81, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 134.1129150391s, input_fired_time: 1.0839861631, output_fired_time: 1.0102486610, propagate_forward_time: 51.2753791809, propagate_backward_time: 77.9319000244, weight_update_time: 0.1412405819, other_time: 2.8114013672
epoch time: 10.0069866180s, input_fired_time: 0.1495306641, output_fired_time: 0.0000000000, propagate_forward_time: 9.3860311508, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4714250565
validation[          , genome  4480] predictions:    9745/  10000 (97.45%), best:    9749/10000 (97.49%), error:       839.20801, best error:       801.99829 on epoch:    81, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 126.6934661865s, input_fired_time: 1.0766143799, output_fired_time: 0.9460434914, propagate_forward_time: 48.2995033264, propagate_backward_time: 73.6250152588, weight_update_time: 0.1529454440, other_time: 2.7462921143
epoch time: 10.5038185120s, input_fired_time: 0.1311346143, output_fired_time: 0.0000000000, propagate_forward_time: 9.8326377869, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5400457382
validation[          , genome  4480] predictions:    9746/  10000 (97.46%), best:    9749/10000 (97.49%), error:       832.00446, best error:       801.99829 on epoch:    81, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 123.5065841675s, input_fired_time: 1.1841206551, output_fired_time: 0.9284920096, propagate_forward_time: 47.0049858093, propagate_backward_time: 71.6947708130, weight_update_time: 0.1342035532, other_time: 2.6942214966
epoch time: 9.5464153290s, input_fired_time: 0.1300916672, output_fired_time: 0.0000000000, propagate_forward_time: 8.9415626526, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4747610092
validation[          , genome  4480] predictions:    9746/  10000 (97.46%), best:    9749/10000 (97.49%), error:       863.88666, best error:       801.99829 on epoch:    81, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 120.1929626465s, input_fired_time: 1.1222354174, output_fired_time: 0.9713770747, propagate_forward_time: 45.4768142700, propagate_backward_time: 69.9818725586, weight_update_time: 0.1306419671, other_time: 2.6406631470
epoch time: 9.1248207092s, input_fired_time: 0.1262705177, output_fired_time: 0.0000000000, propagate_forward_time: 8.5552587509, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4432916641
validation[          , genome  4480] predictions:    9725/  10000 (97.25%), best:    9749/10000 (97.49%), error:       904.41290, best error:       801.99829 on epoch:    81, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 119.5976409912s, input_fired_time: 1.1632562876, output_fired_time: 0.9463945031, propagate_forward_time: 45.2195510864, propagate_backward_time: 69.7086563110, weight_update_time: 0.1330310106, other_time: 2.5597839355
epoch time: 9.7910718918s, input_fired_time: 0.1251696795, output_fired_time: 0.0000000000, propagate_forward_time: 9.1622161865, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5036859512
validation[          , genome  4480] predictions:    9752/  10000 (97.52%), best:    9749/10000 (97.49%), error:       863.59235, best error:       801.99829 on epoch:    81, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 113.8178100586s, input_fired_time: 1.0117338896, output_fired_time: 0.8582154512, propagate_forward_time: 42.8898429871, propagate_backward_time: 66.5654449463, weight_update_time: 0.1303235143, other_time: 2.4925689697
epoch time: 9.4391756058s, input_fired_time: 0.1283554286, output_fired_time: 0.0000000000, propagate_forward_time: 8.8619766235, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4488439560
validation[          , genome  4480] predictions:    9689/  10000 (96.89%), best:    9749/10000 (97.49%), error:      1048.37036, best error:       801.99829 on epoch:    81, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 115.1489486694s, input_fired_time: 1.0111545324, output_fired_time: 0.8561303020, propagate_forward_time: 43.6046371460, propagate_backward_time: 67.0657043457, weight_update_time: 0.1308339983, other_time: 2.6113204956
epoch time: 9.2494983673s, input_fired_time: 0.1582936347, output_fired_time: 0.0000000000, propagate_forward_time: 8.6463861465, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4448184967
validation[          , genome  4480] predictions:    9740/  10000 (97.40%), best:    9749/10000 (97.49%), error:       865.56641, best error:       801.99829 on epoch:    81, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 114.4790267944s, input_fired_time: 1.0089683533, output_fired_time: 0.9138084054, propagate_forward_time: 43.2595863342, propagate_backward_time: 66.7987899780, weight_update_time: 0.1298806667, other_time: 2.4978713989
epoch time: 9.4286956787s, input_fired_time: 0.1427285671, output_fired_time: 0.0000000000, propagate_forward_time: 8.8275365829, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4584302902
validation[          , genome  4480] predictions:    9761/  10000 (97.61%), best:    9749/10000 (97.49%), error:       821.47333, best error:       801.99829 on epoch:    81, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 113.6808166504s, input_fired_time: 1.0413955450, output_fired_time: 0.9523976445, propagate_forward_time: 42.9638595581, propagate_backward_time: 66.1878433228, weight_update_time: 0.1604892015, other_time: 2.5353164673
epoch time: 8.8873424530s, input_fired_time: 0.1253007501, output_fired_time: 0.0000000000, propagate_forward_time: 8.3232526779, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4387893677
validation[          , genome  4480] predictions:    9735/  10000 (97.35%), best:    9749/10000 (97.49%), error:       851.58966, best error:       801.99829 on epoch:    81, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 113.3329162598s, input_fired_time: 1.0609601736, output_fired_time: 0.8882900476, propagate_forward_time: 42.7540359497, propagate_backward_time: 66.1073608398, weight_update_time: 0.1307910085, other_time: 2.5222702026
epoch time: 9.2407665253s, input_fired_time: 0.1288536340, output_fired_time: 0.0000000000, propagate_forward_time: 8.6285562515, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4833564758
validation[          , genome  4480] predictions:    9585/  10000 (95.85%), best:    9749/10000 (97.49%), error:      1270.39526, best error:       801.99829 on epoch:    81, 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: 46.0498771667s, input_fired_time: 0.6323639154, output_fired_time: 0.0000000000, propagate_forward_time: 43.0914230347, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3260917664
best training[          , genome  4480] predictions:   49599/  50000 (99.20%), best:    9749/10000 (97.49%), error:      1614.85681, best error:       801.99829 on epoch:    81, 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: 8.9031085968s, input_fired_time: 0.1251415759, output_fired_time: 0.0000000000, propagate_forward_time: 8.3334712982, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4444961548
   testing[          , genome  4480] predictions:    9763/  10000 (97.63%), best:    9749/10000 (97.49%), error:       729.68805, best error:       801.99829 on epoch:    81, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
00:11:08 (10524): called boinc_finish(0)

</stderr_txt>
]]>