Nameexact_genome_1524608127_134_16152_1
Workunit3580542
Created26 Apr 2018, 19:05:24 UTC
Sent26 Apr 2018, 19:20:29 UTC
Report deadline26 Jun 2018, 14:50:10 UTC
Received10 May 2018, 14:16:38 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID57604
Run time1 days 9 hours 47 min 22 sec
CPU time1 days 8 hours 48 min 35 sec
Validate stateInitial
Credit0.00
Device peak FLOPS3.69 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size181.34 MB
Peak swap size179.67 MB
Peak disk usage8.09 MB

Stderr output

<core_client_version>7.6.22</core_client_version>
<![CDATA[
<stderr_txt>
ime: 2.3687362671
validation[          , genome 16152] predictions:    9861/  10000 (98.61%), best:    9890/10000 (98.90%), error:       422.43973, best error:       355.60803 on epoch:    25, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 1140.4000244141s, input_fired_time: 13.1402349472, output_fired_time: 11.9746475220, propagate_forward_time: 431.5796508789, propagate_backward_time: 670.2465820313, weight_update_time: 0.9975128770, other_time: 13.4589233398
epoch time: 140.9830627441s, input_fired_time: 2.4074993134, output_fired_time: 0.0000000000, propagate_forward_time: 134.8394165039, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7361450195
validation[          , genome 16152] predictions:    9884/  10000 (98.84%), best:    9890/10000 (98.90%), error:       397.95691, best error:       355.60803 on epoch:    25, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 1247.4361572266s, input_fired_time: 14.3986616135, output_fired_time: 13.2033271790, propagate_forward_time: 471.9786376953, propagate_backward_time: 733.0318603516, weight_update_time: 1.0888162851, other_time: 14.8236083984
epoch time: 137.2810058594s, input_fired_time: 2.6594362259, output_fired_time: 0.0000000000, propagate_forward_time: 130.7149047852, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9066619873
validation[          , genome 16152] predictions:    9832/  10000 (98.32%), best:    9890/10000 (98.90%), error:       538.32056, best error:       355.60803 on epoch:    25, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 1198.4755859375s, input_fired_time: 13.8439102173, output_fired_time: 12.3526983261, propagate_forward_time: 454.4930419922, propagate_backward_time: 703.5255737305, weight_update_time: 1.0069915056, other_time: 14.2604370117
epoch time: 161.4405059814s, input_fired_time: 3.0977103710, output_fired_time: 0.0000000000, propagate_forward_time: 153.9814910889, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.3612976074
validation[          , genome 16152] predictions:    9885/  10000 (98.85%), best:    9890/10000 (98.90%), error:       384.05795, best error:       355.60803 on epoch:    25, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 1115.0300292969s, input_fired_time: 12.7532081604, output_fired_time: 11.5497436523, propagate_forward_time: 421.8831787109, propagate_backward_time: 655.6823730469, weight_update_time: 0.9907999039, other_time: 13.1614990234
epoch time: 105.2996597290s, input_fired_time: 2.0046935081, output_fired_time: 0.0000000000, propagate_forward_time: 100.7616500854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5333175659
validation[          , genome 16152] predictions:    9879/  10000 (98.79%), best:    9890/10000 (98.90%), error:       356.26053, best error:       355.60803 on epoch:    25, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1143.7686767578s, input_fired_time: 13.2830371857, output_fired_time: 11.9624862671, propagate_forward_time: 432.3223876953, propagate_backward_time: 672.4278564453, weight_update_time: 1.0416265726, other_time: 13.7728271484
epoch time: 112.8244628906s, input_fired_time: 1.9836672544, output_fired_time: 0.0000000000, propagate_forward_time: 107.7030563354, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1377410889
validation[          , genome 16152] predictions:    9872/  10000 (98.72%), best:    9890/10000 (98.90%), error:       432.08212, best error:       355.60803 on epoch:    25, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1122.8873291016s, input_fired_time: 12.9692888260, output_fired_time: 11.7631387711, propagate_forward_time: 424.9014282227, propagate_backward_time: 659.8923950195, weight_update_time: 1.0497499704, other_time: 13.3610839844
epoch time: 211.3786773682s, input_fired_time: 3.9571042061, output_fired_time: 0.0000000000, propagate_forward_time: 201.2542114258, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.1673583984
validation[          , genome 16152] predictions:    9887/  10000 (98.87%), best:    9890/10000 (98.90%), error:       383.64651, best error:       355.60803 on epoch:    25, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1181.7254638672s, input_fired_time: 13.3852233887, output_fired_time: 12.6799211502, propagate_forward_time: 446.9024963379, propagate_backward_time: 694.4838256836, weight_update_time: 1.0129665136, other_time: 14.2739868164
epoch time: 98.3811187744s, input_fired_time: 1.8053255081, output_fired_time: 0.0000000000, propagate_forward_time: 94.1431732178, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4326171875
validation[          , genome 16152] predictions:    9871/  10000 (98.71%), best:    9890/10000 (98.90%), error:       439.87280, best error:       355.60803 on epoch:    25, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1197.7110595703s, input_fired_time: 14.0074987411, output_fired_time: 12.3371620178, propagate_forward_time: 453.9281005859, propagate_backward_time: 703.2493286133, weight_update_time: 1.0614577532, other_time: 14.1890258789
epoch time: 292.1488647461s, input_fired_time: 6.1879439354, output_fired_time: 0.0000000000, propagate_forward_time: 277.4971313477, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.4637756348
validation[          , genome 16152] predictions:    9888/  10000 (98.88%), best:    9890/10000 (98.90%), error:       414.90063, best error:       355.60803 on epoch:    25, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1410.3253173828s, input_fired_time: 16.1679382324, output_fired_time: 14.3983783722, propagate_forward_time: 532.4987182617, propagate_backward_time: 830.1296997070, weight_update_time: 1.1890183687, other_time: 17.1304931641
epoch time: 94.9744567871s, input_fired_time: 1.6887304783, output_fired_time: 0.0000000000, propagate_forward_time: 90.7358093262, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5499191284
validation[          , genome 16152] predictions:    9877/  10000 (98.77%), best:    9890/10000 (98.90%), error:       406.77872, best error:       355.60803 on epoch:    25, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1170.7150878906s, input_fired_time: 14.3869495392, output_fired_time: 12.2555484772, propagate_forward_time: 442.3826293945, propagate_backward_time: 687.8522949219, weight_update_time: 1.0009931326, other_time: 13.8377075195
epoch time: 217.9628143311s, input_fired_time: 4.6652631760, output_fired_time: 0.0000000000, propagate_forward_time: 207.2934570313, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.0040893555
validation[          , genome 16152] predictions:    9894/  10000 (98.94%), best:    9894/10000 (98.94%), error:       352.63013, best error:       352.63013 on epoch:    37, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1144.4620361328s, input_fired_time: 13.1253137589, output_fired_time: 12.0244045258, propagate_forward_time: 435.6147460938, propagate_backward_time: 670.2976684570, weight_update_time: 0.9972795844, other_time: 13.3998413086
epoch time: 100.7021179199s, input_fired_time: 1.8605400324, output_fired_time: 0.0000000000, propagate_forward_time: 96.3119430542, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5296325684
validation[          , genome 16152] predictions:    9882/  10000 (98.82%), best:    9894/10000 (98.94%), error:       376.06244, best error:       352.63013 on epoch:    37, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1194.4348144531s, input_fired_time: 14.3755083084, output_fired_time: 12.3031997681, propagate_forward_time: 451.1440124512, propagate_backward_time: 702.4966430664, weight_update_time: 1.1037899256, other_time: 14.1154174805
epoch time: 137.4759521484s, input_fired_time: 2.1460645199, output_fired_time: 0.0000000000, propagate_forward_time: 131.1564178467, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1734771729
validation[          , genome 16152] predictions:    9895/  10000 (98.95%), best:    9895/10000 (98.95%), error:       339.42889, best error:       339.42889 on epoch:    39, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1150.0015869141s, input_fired_time: 13.2184314728, output_fired_time: 11.9452190399, propagate_forward_time: 435.8038940430, propagate_backward_time: 675.6162719727, weight_update_time: 0.9994890094, other_time: 13.4178466797
epoch time: 200.4867553711s, input_fired_time: 3.8688981533, output_fired_time: 0.0000000000, propagate_forward_time: 191.0537414551, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5641174316
validation[          , genome 16152] predictions:    9882/  10000 (98.82%), best:    9895/10000 (98.95%), error:       394.32336, best error:       339.42889 on epoch:    39, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1139.0664062500s, input_fired_time: 12.9716978073, output_fired_time: 12.5184345245, propagate_forward_time: 431.7421569824, propagate_backward_time: 668.4298095703, weight_update_time: 1.0079776049, other_time: 13.4042968750
epoch time: 89.4230194092s, input_fired_time: 1.6252158880, output_fired_time: 0.0000000000, propagate_forward_time: 85.4430084229, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3547973633
validation[          , genome 16152] predictions:    9899/  10000 (98.99%), best:    9895/10000 (98.95%), error:       345.26810, best error:       339.42889 on epoch:    39, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1181.8638916016s, input_fired_time: 13.7543964386, output_fired_time: 12.1431579590, propagate_forward_time: 447.9038696289, propagate_backward_time: 694.2180175781, weight_update_time: 1.1328289509, other_time: 13.8444213867
epoch time: 93.4118881226s, input_fired_time: 1.6435437202, output_fired_time: 0.0000000000, propagate_forward_time: 89.2595214844, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5088195801
validation[          , genome 16152] predictions:    9900/  10000 (99.00%), best:    9895/10000 (98.95%), error:       342.19211, best error:       339.42889 on epoch:    39, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1135.9375000000s, input_fired_time: 13.2682275772, output_fired_time: 11.8195896149, propagate_forward_time: 427.8710327148, propagate_backward_time: 668.6937866211, weight_update_time: 0.9973223209, other_time: 14.2849121094
epoch time: 109.2174148560s, input_fired_time: 2.2990019321, output_fired_time: 0.0000000000, propagate_forward_time: 104.1147384644, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8036727905
validation[          , genome 16152] predictions:    9871/  10000 (98.71%), best:    9895/10000 (98.95%), error:       432.84256, best error:       339.42889 on epoch:    39, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1129.1804199219s, input_fired_time: 12.9064950943, output_fired_time: 11.8215293884, propagate_forward_time: 427.6294555664, propagate_backward_time: 663.4829711914, weight_update_time: 0.9979688525, other_time: 13.3399658203
epoch time: 88.9306945801s, input_fired_time: 1.6168018579, output_fired_time: 0.0000000000, propagate_forward_time: 84.9497909546, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3641052246
validation[          , genome 16152] predictions:    9891/  10000 (98.91%), best:    9895/10000 (98.95%), error:       356.16861, best error:       339.42889 on epoch:    39, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1145.0651855469s, input_fired_time: 13.1457109451, output_fired_time: 11.9026603699, propagate_forward_time: 433.7296142578, propagate_backward_time: 672.6776123047, weight_update_time: 0.9974064827, other_time: 13.6094970703
epoch time: 121.1010284424s, input_fired_time: 2.4744737148, output_fired_time: 0.0000000000, propagate_forward_time: 115.3923797607, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2341766357
validation[          , genome 16152] predictions:    9885/  10000 (98.85%), best:    9885/10000 (98.85%), error:       338.56631, best error:       338.56631 on epoch:    45, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1176.8072509766s, input_fired_time: 13.7768001556, output_fired_time: 12.2639265060, propagate_forward_time: 445.6288452148, propagate_backward_time: 690.7879638672, weight_update_time: 1.0370144844, other_time: 14.3496704102
epoch time: 107.8962554932s, input_fired_time: 1.8966377974, output_fired_time: 0.0000000000, propagate_forward_time: 103.2721176147, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7275009155
validation[          , genome 16152] predictions:    9900/  10000 (99.00%), best:    9885/10000 (98.85%), error:       347.20898, best error:       338.56631 on epoch:    45, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1165.6856689453s, input_fired_time: 13.2758789063, output_fired_time: 11.9571866989, propagate_forward_time: 439.1838378906, propagate_backward_time: 687.4875488281, weight_update_time: 1.0368716717, other_time: 13.7812500000
epoch time: 93.6202545166s, input_fired_time: 1.7293908596, output_fired_time: 0.0000000000, propagate_forward_time: 89.4065933228, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4842681885
validation[          , genome 16152] predictions:    9904/  10000 (99.04%), best:    9904/10000 (99.04%), error:       334.28754, best error:       334.28754 on epoch:    47, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1140.9608154297s, input_fired_time: 13.3775005341, output_fired_time: 11.9979820251, propagate_forward_time: 431.4595031738, propagate_backward_time: 670.1929931641, weight_update_time: 1.0246322155, other_time: 13.9329833984
epoch time: 89.9645843506s, input_fired_time: 1.6315629482, output_fired_time: 0.0000000000, propagate_forward_time: 85.9481964111, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3848266602
validation[          , genome 16152] predictions:    9894/  10000 (98.94%), best:    9904/10000 (99.04%), error:       364.29953, best error:       334.28754 on epoch:    47, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1123.0988769531s, input_fired_time: 12.9495582581, output_fired_time: 11.6588430405, propagate_forward_time: 425.1159973145, propagate_backward_time: 660.0416870117, weight_update_time: 0.9932354689, other_time: 13.3328247070
epoch time: 88.2554244995s, input_fired_time: 1.6184192896, output_fired_time: 0.0000000000, propagate_forward_time: 84.2114562988, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4255523682
validation[          , genome 16152] predictions:    9901/  10000 (99.01%), best:    9901/10000 (99.01%), error:       322.18198, best error:       322.18198 on epoch:    49, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1109.0908203125s, input_fired_time: 12.8596782684, output_fired_time: 11.5781908035, propagate_forward_time: 419.2831115723, propagate_backward_time: 652.1448974609, weight_update_time: 0.9949839711, other_time: 13.2249755859
epoch time: 86.7684326172s, input_fired_time: 1.5964113474, output_fired_time: 0.0000000000, propagate_forward_time: 82.8336029053, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3384170532
validation[          , genome 16152] predictions:    9883/  10000 (98.83%), best:    9901/10000 (99.01%), error:       352.42499, best error:       322.18198 on epoch:    49, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 1104.4743652344s, input_fired_time: 12.8732662201, output_fired_time: 11.5211019516, propagate_forward_time: 417.0108642578, propagate_backward_time: 649.7733154297, weight_update_time: 0.9960846305, other_time: 13.2957763672
epoch time: 88.4438171387s, input_fired_time: 1.6783566475, output_fired_time: 0.0000000000, propagate_forward_time: 84.3397140503, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4257431030
validation[          , genome 16152] predictions:    9912/  10000 (99.12%), best:    9912/10000 (99.12%), error:       309.82980, best error:       309.82980 on epoch:    51, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 1129.1188964844s, input_fired_time: 13.1240034103, output_fired_time: 11.7745561600, propagate_forward_time: 426.9475097656, propagate_backward_time: 663.6638183594, weight_update_time: 1.0054125786, other_time: 13.6090087891
epoch time: 88.7821807861s, input_fired_time: 1.6356176138, output_fired_time: 0.0000000000, propagate_forward_time: 84.7703094482, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3762512207
validation[          , genome 16152] predictions:    9915/  10000 (99.15%), best:    9912/10000 (99.12%), error:       319.19003, best error:       309.82980 on epoch:    51, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 1122.3817138672s, input_fired_time: 13.0483598709, output_fired_time: 11.7258033752, propagate_forward_time: 424.7245788574, propagate_backward_time: 659.4551391602, weight_update_time: 1.0104202032, other_time: 13.4277954102
epoch time: 88.0752792358s, input_fired_time: 1.6251485348, output_fired_time: 0.0000000000, propagate_forward_time: 84.0203170776, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4298171997
validation[          , genome 16152] predictions:    9897/  10000 (98.97%), best:    9912/10000 (99.12%), error:       345.11978, best error:       309.82980 on epoch:    51, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 1118.7609863281s, input_fired_time: 12.9129590988, output_fired_time: 11.6519079208, propagate_forward_time: 423.2679138184, propagate_backward_time: 657.6829833984, weight_update_time: 0.9954739213, other_time: 13.2452392578
epoch time: 89.9065856934s, input_fired_time: 1.6650582552, output_fired_time: 0.0000000000, propagate_forward_time: 85.7655181885, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4760055542
validation[          , genome 16152] predictions:    9924/  10000 (99.24%), best:    9924/10000 (99.24%), error:       307.60782, best error:       307.60782 on epoch:    54, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 1118.0098876953s, input_fired_time: 12.9394865036, output_fired_time: 11.6543474197, propagate_forward_time: 423.0229187012, propagate_backward_time: 657.1800537109, weight_update_time: 0.9998432398, other_time: 13.2131347656
epoch time: 90.7791213989s, input_fired_time: 1.7007505894, output_fired_time: 0.0000000000, propagate_forward_time: 86.5812759399, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4970932007
validation[          , genome 16152] predictions:    9897/  10000 (98.97%), best:    9924/10000 (99.24%), error:       375.43814, best error:       307.60782 on epoch:    54, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 1117.8331298828s, input_fired_time: 12.9482965469, output_fired_time: 11.7117481232, propagate_forward_time: 422.7863159180, propagate_backward_time: 657.1076049805, weight_update_time: 0.9986714125, other_time: 13.2791748047
epoch time: 88.7557449341s, input_fired_time: 1.6365314722, output_fired_time: 0.0000000000, propagate_forward_time: 84.7394714355, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3797454834
validation[          , genome 16152] predictions:    9921/  10000 (99.21%), best:    9924/10000 (99.24%), error:       307.84836, best error:       307.60782 on epoch:    54, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 1134.3811035156s, input_fired_time: 13.0349130630, output_fired_time: 11.7458324432, propagate_forward_time: 429.2993774414, propagate_backward_time: 666.9165039063, weight_update_time: 1.0305627584, other_time: 13.3844604492
epoch time: 100.3871078491s, input_fired_time: 1.9828660488, output_fired_time: 0.0000000000, propagate_forward_time: 95.7512588501, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6529846191
validation[          , genome 16152] predictions:    9925/  10000 (99.25%), best:    9925/10000 (99.25%), error:       275.33597, best error:       275.33597 on epoch:    57, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 1159.7398681641s, input_fired_time: 13.8135948181, output_fired_time: 12.1014757156, propagate_forward_time: 439.5242614746, propagate_backward_time: 680.4075317383, weight_update_time: 1.0114135742, other_time: 13.8930053711
epoch time: 124.1212387085s, input_fired_time: 2.1241421700, output_fired_time: 0.0000000000, propagate_forward_time: 118.7723464966, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2247467041
validation[          , genome 16152] predictions:    9915/  10000 (99.15%), best:    9925/10000 (99.25%), error:       295.46790, best error:       275.33597 on epoch:    57, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 1205.3454589844s, input_fired_time: 14.0308294296, output_fired_time: 12.5964221954, propagate_forward_time: 455.8941345215, propagate_backward_time: 708.4202880859, weight_update_time: 1.0830811262, other_time: 14.4036865234
epoch time: 164.5941009521s, input_fired_time: 2.9885873795, output_fired_time: 0.0000000000, propagate_forward_time: 157.5794677734, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0260467529
validation[          , genome 16152] predictions:    9910/  10000 (99.10%), best:    9925/10000 (99.25%), error:       299.18729, best error:       275.33597 on epoch:    57, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

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_1524608127_134_16152.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1524608127_134_16152_1_r842477205_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: 0.967426
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000575872
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.30349e-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: 60
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 57
read number_validation_images: 10000
read best_validation_predictions: 9925
read best_validation_error: 275.336
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: 16152
read normal distribution: '1 0 0'
generator_str: '1886285840'
read generator: 1886285840
read generated_by_map:
1 crossover 1
reading 137 nodes.
reading 539 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: 1076.02856445313s, input_fired_time: 12.5997257232666, output_fired_time: 11.2685508728027, propagate_forward_time: 405.804382324219, propagate_backward_time: 633.2431640625, weight_update_time: 0.983441650867462, other_time: 13.1127319335938
epoch time: 85.4202117919922s, input_fired_time: 1.58877182006836, output_fired_time: 0, propagate_forward_time: 81.4543533325195, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.37708282470703
validation[          , genome 16152] predictions:    9912/  10000 (99.12%), best:    9925/10000 (99.25%), error:       297.86298, best error:       275.33597 on epoch:    57, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 1083.5047607422s, input_fired_time: 12.7943058014, output_fired_time: 11.3592691422, propagate_forward_time: 409.3211364746, propagate_backward_time: 636.7387695313, weight_update_time: 0.9875017405, other_time: 13.2912597656
epoch time: 86.5105667114s, input_fired_time: 1.6114891768, output_fired_time: 0.0000000000, propagate_forward_time: 82.5018539429, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3972244263
validation[          , genome 16152] predictions:    9922/  10000 (99.22%), best:    9925/10000 (99.25%), error:       289.31351, best error:       275.33597 on epoch:    57, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 1071.4388427734s, input_fired_time: 12.6555318832, output_fired_time: 11.2507209778, propagate_forward_time: 404.0449829102, propagate_backward_time: 630.2359619141, weight_update_time: 0.9838770032, other_time: 13.2516479492
epoch time: 84.4538345337s, input_fired_time: 1.5808269978, output_fired_time: 0.0000000000, propagate_forward_time: 80.5340805054, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3389282227
validation[          , genome 16152] predictions:    9917/  10000 (99.17%), best:    9925/10000 (99.25%), error:       290.00897, best error:       275.33597 on epoch:    57, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 1056.0498046875s, input_fired_time: 12.5020380020, output_fired_time: 11.1069707870, propagate_forward_time: 397.5373535156, propagate_backward_time: 621.7968139648, weight_update_time: 0.9729846120, other_time: 13.1066284180
epoch time: 82.8960037231s, input_fired_time: 1.5496171713, output_fired_time: 0.0000000000, propagate_forward_time: 79.0389175415, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3074722290
validation[          , genome 16152] predictions:    9912/  10000 (99.12%), best:    9925/10000 (99.25%), error:       318.88629, best error:       275.33597 on epoch:    57, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 1053.5301513672s, input_fired_time: 12.4359712601, output_fired_time: 11.0618944168, propagate_forward_time: 396.5811157227, propagate_backward_time: 620.5590820313, weight_update_time: 0.9608806968, other_time: 12.8921508789
epoch time: 83.7344131470s, input_fired_time: 1.5765140057, output_fired_time: 0.0000000000, propagate_forward_time: 79.8249816895, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3329162598
validation[          , genome 16152] predictions:    9907/  10000 (99.07%), best:    9925/10000 (99.25%), error:       329.06323, best error:       275.33597 on epoch:    57, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 1056.7783203125s, input_fired_time: 12.5075178146, output_fired_time: 11.0733518600, propagate_forward_time: 398.0608520508, propagate_backward_time: 622.0657348633, weight_update_time: 0.9740856886, other_time: 13.0708007813
epoch time: 83.7580795288s, input_fired_time: 1.5745804310, output_fired_time: 0.0000000000, propagate_forward_time: 79.8133392334, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3701629639
validation[          , genome 16152] predictions:    9919/  10000 (99.19%), best:    9925/10000 (99.25%), error:       291.34363, best error:       275.33597 on epoch:    57, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 1036.1154785156s, input_fired_time: 12.3152561188, output_fired_time: 10.8325872421, propagate_forward_time: 389.3946228027, propagate_backward_time: 610.6781005859, weight_update_time: 0.9599371552, other_time: 12.8948974609
epoch time: 81.2848205566s, input_fired_time: 1.5266647339, output_fired_time: 0.0000000000, propagate_forward_time: 77.4910583496, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2670974731
validation[          , genome 16152] predictions:    9914/  10000 (99.14%), best:    9925/10000 (99.25%), error:       283.95752, best error:       275.33597 on epoch:    57, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 1029.0068359375s, input_fired_time: 12.2295331955, output_fired_time: 10.8194408417, propagate_forward_time: 386.6878662109, propagate_backward_time: 606.4661254883, weight_update_time: 0.9523434639, other_time: 12.8038330078
epoch time: 80.6082534790s, input_fired_time: 1.5219926834, output_fired_time: 0.0000000000, propagate_forward_time: 76.7931365967, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2931213379
validation[          , genome 16152] predictions:    9915/  10000 (99.15%), best:    9925/10000 (99.25%), error:       279.64374, best error:       275.33597 on epoch:    57, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 1031.3922119141s, input_fired_time: 12.2428922653, output_fired_time: 10.8220405579, propagate_forward_time: 388.3571777344, propagate_backward_time: 607.2088623047, weight_update_time: 0.9483472705, other_time: 12.7612304688
epoch time: 80.1652297974s, input_fired_time: 1.5150108337, output_fired_time: 0.0000000000, propagate_forward_time: 76.3828582764, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2673645020
validation[          , genome 16152] predictions:    9919/  10000 (99.19%), best:    9925/10000 (99.25%), error:       280.18494, best error:       275.33597 on epoch:    57, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 1026.3624267578s, input_fired_time: 12.2002792358, output_fired_time: 10.7719984055, propagate_forward_time: 386.9406127930, propagate_backward_time: 603.7259521484, weight_update_time: 0.9469527602, other_time: 12.7236328125
epoch time: 81.1808319092s, input_fired_time: 1.5320118666, output_fired_time: 0.0000000000, propagate_forward_time: 77.3314666748, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3173522949
validation[          , genome 16152] predictions:    9920/  10000 (99.20%), best:    9920/10000 (99.20%), error:       274.35611, best error:       274.35611 on epoch:    69, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 1029.4381103516s, input_fired_time: 12.2446947098, output_fired_time: 10.7671136856, propagate_forward_time: 386.5897521973, propagate_backward_time: 606.9737548828, weight_update_time: 0.9564861655, other_time: 12.8627929688
epoch time: 80.7807006836s, input_fired_time: 1.5281527042, output_fired_time: 0.0000000000, propagate_forward_time: 76.9707336426, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2818145752
validation[          , genome 16152] predictions:    9919/  10000 (99.19%), best:    9920/10000 (99.20%), error:       287.89886, best error:       274.35611 on epoch:    69, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 1027.6329345703s, input_fired_time: 12.2307291031, output_fired_time: 10.8412456512, propagate_forward_time: 386.5022888184, propagate_backward_time: 605.3231811523, weight_update_time: 0.9464862347, other_time: 12.7355346680
epoch time: 81.8018035889s, input_fired_time: 1.5412484407, output_fired_time: 0.0000000000, propagate_forward_time: 77.9586410522, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3019104004
validation[          , genome 16152] predictions:    9924/  10000 (99.24%), best:    9920/10000 (99.20%), error:       284.26904, best error:       274.35611 on epoch:    69, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 1030.4113769531s, input_fired_time: 12.2451791763, output_fired_time: 10.8197898865, propagate_forward_time: 387.5770568848, propagate_backward_time: 606.9397583008, weight_update_time: 0.9577224851, other_time: 12.8296508789
epoch time: 80.0045166016s, input_fired_time: 1.5148875713, output_fired_time: 0.0000000000, propagate_forward_time: 76.2097625732, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2798690796
validation[          , genome 16152] predictions:    9895/  10000 (98.95%), best:    9920/10000 (99.20%), error:       321.64691, best error:       274.35611 on epoch:    69, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 1015.6716308594s, input_fired_time: 12.1643238068, output_fired_time: 10.6671276093, propagate_forward_time: 382.7946777344, propagate_backward_time: 597.2539672852, weight_update_time: 0.9463192821, other_time: 12.7915649414
epoch time: 79.6470260620s, input_fired_time: 1.5108604431, output_fired_time: 0.0000000000, propagate_forward_time: 75.8819351196, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2542343140
validation[          , genome 16152] predictions:    9917/  10000 (99.17%), best:    9917/10000 (99.17%), error:       273.58185, best error:       273.58185 on epoch:    73, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 1009.4660034180s, input_fired_time: 12.0983324051, output_fired_time: 10.6436691284, propagate_forward_time: 378.0415344238, propagate_backward_time: 595.8439331055, weight_update_time: 0.9461603165, other_time: 12.8385620117
epoch time: 79.3204574585s, input_fired_time: 1.5093947649, output_fired_time: 0.0000000000, propagate_forward_time: 75.5678939819, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2431716919
validation[          , genome 16152] predictions:    9920/  10000 (99.20%), best:    9917/10000 (99.17%), error:       277.70303, best error:       273.58185 on epoch:    73, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 1028.5656738281s, input_fired_time: 12.2415819168, output_fired_time: 10.8152265549, propagate_forward_time: 387.3002624512, propagate_backward_time: 605.3884887695, weight_update_time: 0.9518601298, other_time: 12.8201293945
epoch time: 80.9565658569s, input_fired_time: 1.5301352739, output_fired_time: 0.0000000000, propagate_forward_time: 77.1440429688, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2823867798
validation[          , genome 16152] predictions:    9928/  10000 (99.28%), best:    9928/10000 (99.28%), error:       263.57901, best error:       263.57901 on epoch:    75, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 1023.3469238281s, input_fired_time: 12.1897020340, output_fired_time: 10.7084417343, propagate_forward_time: 384.0989379883, propagate_backward_time: 603.6054687500, weight_update_time: 0.9469950795, other_time: 12.7443847656
epoch time: 79.4328231812s, input_fired_time: 1.5083854198, output_fired_time: 0.0000000000, propagate_forward_time: 75.6092453003, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3151931763
validation[          , genome 16152] predictions:    9905/  10000 (99.05%), best:    9928/10000 (99.28%), error:       293.76230, best error:       263.57901 on epoch:    75, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 1009.8126220703s, input_fired_time: 12.0897989273, output_fired_time: 10.5822916031, propagate_forward_time: 377.9535827637, propagate_backward_time: 596.4688110352, weight_update_time: 0.9412599802, other_time: 12.7182006836
epoch time: 78.8216934204s, input_fired_time: 1.4991656542, output_fired_time: 0.0000000000, propagate_forward_time: 75.0847015381, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2378234863
validation[          , genome 16152] predictions:    9923/  10000 (99.23%), best:    9928/10000 (99.28%), error:       266.71585, best error:       263.57901 on epoch:    75, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 1009.2295532227s, input_fired_time: 12.0965671539, output_fired_time: 10.6536903381, propagate_forward_time: 379.8834228516, propagate_backward_time: 593.9598999023, weight_update_time: 0.9386005402, other_time: 12.6359863281
epoch time: 79.6136398315s, input_fired_time: 1.5133059025, output_fired_time: 0.0000000000, propagate_forward_time: 75.8279953003, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2723388672
validation[          , genome 16152] predictions:    9910/  10000 (99.10%), best:    9928/10000 (99.28%), error:       298.31024, best error:       263.57901 on epoch:    75, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 1007.5180053711s, input_fired_time: 12.0872297287, output_fired_time: 10.6273775101, propagate_forward_time: 377.2951354980, propagate_backward_time: 594.8767700195, weight_update_time: 0.9351099730, other_time: 12.6315307617
epoch time: 80.6647186279s, input_fired_time: 1.5259649754, output_fired_time: 0.0000000000, propagate_forward_time: 76.8219223022, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3168334961
validation[          , genome 16152] predictions:    9928/  10000 (99.28%), best:    9928/10000 (99.28%), error:       276.73764, best error:       263.57901 on epoch:    75, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 1025.3186035156s, input_fired_time: 12.2114067078, output_fired_time: 10.8074007034, propagate_forward_time: 385.1963500977, propagate_backward_time: 604.3305664063, weight_update_time: 0.9530628324, other_time: 12.7728881836
epoch time: 79.4941787720s, input_fired_time: 1.5086220503, output_fired_time: 0.0000000000, propagate_forward_time: 75.7119827271, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2735748291
validation[          , genome 16152] predictions:    9923/  10000 (99.23%), best:    9928/10000 (99.28%), error:       274.81241, best error:       263.57901 on epoch:    75, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 1030.6367187500s, input_fired_time: 12.2903327942, output_fired_time: 10.8628139496, propagate_forward_time: 387.6323242188, propagate_backward_time: 607.0668334961, weight_update_time: 0.9537333846, other_time: 12.7844238281
epoch time: 81.9662170410s, input_fired_time: 1.5453268290, output_fired_time: 0.0000000000, propagate_forward_time: 78.1437301636, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2771606445
validation[          , genome 16152] predictions:    9927/  10000 (99.27%), best:    9928/10000 (99.28%), error:       270.78320, best error:       263.57901 on epoch:    75, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 1034.2888183594s, input_fired_time: 12.3305482864, output_fired_time: 10.8441848755, propagate_forward_time: 389.9160156250, propagate_backward_time: 608.2659301758, weight_update_time: 0.9550616145, other_time: 12.9321289063
epoch time: 82.4692459106s, input_fired_time: 1.5519875288, output_fired_time: 0.0000000000, propagate_forward_time: 78.6275253296, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2897338867
validation[          , genome 16152] predictions:    9918/  10000 (99.18%), best:    9928/10000 (99.28%), error:       270.26389, best error:       263.57901 on epoch:    75, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 1027.3031005859s, input_fired_time: 12.2731218338, output_fired_time: 10.8284378052, propagate_forward_time: 386.3718261719, propagate_backward_time: 605.0192260742, weight_update_time: 0.9504991174, other_time: 12.8104858398
epoch time: 81.3223800659s, input_fired_time: 1.5321407318, output_fired_time: 0.0000000000, propagate_forward_time: 77.5401611328, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2500762939
validation[          , genome 16152] predictions:    9923/  10000 (99.23%), best:    9928/10000 (99.28%), error:       273.19174, best error:       263.57901 on epoch:    75, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 995.9944458008s, input_fired_time: 12.0328350067, output_fired_time: 10.4887676239, propagate_forward_time: 373.5127868652, propagate_backward_time: 587.3431396484, weight_update_time: 0.9313658476, other_time: 12.6169433594
epoch time: 77.4077758789s, input_fired_time: 1.4873266220, output_fired_time: 0.0000000000, propagate_forward_time: 73.6996765137, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2207717896
validation[          , genome 16152] predictions:    9921/  10000 (99.21%), best:    9928/10000 (99.28%), error:       280.38086, best error:       263.57901 on epoch:    75, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 970.5949707031s, input_fired_time: 11.8860807419, output_fired_time: 10.1669282913, propagate_forward_time: 364.7722778320, propagate_backward_time: 571.2382202148, weight_update_time: 0.9189693332, other_time: 12.5314331055
epoch time: 69.5637283325s, input_fired_time: 1.3836144209, output_fired_time: 0.0000000000, propagate_forward_time: 66.0037612915, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1763534546
validation[          , genome 16152] predictions:    9925/  10000 (99.25%), best:    9928/10000 (99.28%), error:       271.55017, best error:       263.57901 on epoch:    75, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 941.7136230469s, input_fired_time: 11.6102399826, output_fired_time: 9.9339838028, propagate_forward_time: 351.6507568359, propagate_backward_time: 556.2035522461, weight_update_time: 0.9007039666, other_time: 12.3151245117
epoch time: 76.1392135620s, input_fired_time: 1.4632110596, output_fired_time: 0.0000000000, propagate_forward_time: 72.4826126099, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1933898926
validation[          , genome 16152] predictions:    9919/  10000 (99.19%), best:    9928/10000 (99.28%), error:       268.10699, best error:       263.57901 on epoch:    75, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 934.9817504883s, input_fired_time: 11.5287446976, output_fired_time: 9.9197034836, propagate_forward_time: 347.8406982422, propagate_backward_time: 553.5349121094, weight_update_time: 0.8932798505, other_time: 12.1577148438
epoch time: 71.7320709229s, input_fired_time: 1.4091624022, output_fired_time: 0.0000000000, propagate_forward_time: 68.1794128418, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1434936523
validation[          , genome 16152] predictions:    9920/  10000 (99.20%), best:    9928/10000 (99.28%), error:       271.72791, best error:       263.57901 on epoch:    75, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 936.0141601563s, input_fired_time: 11.5888061523, output_fired_time: 9.9193077087, propagate_forward_time: 351.6531982422, propagate_backward_time: 550.5516357422, weight_update_time: 0.9007264972, other_time: 12.3012084961
epoch time: 73.4878921509s, input_fired_time: 1.4352041483, output_fired_time: 0.0000000000, propagate_forward_time: 69.8569717407, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1957168579
validation[          , genome 16152] predictions:    9920/  10000 (99.20%), best:    9928/10000 (99.28%), error:       280.72772, best error:       263.57901 on epoch:    75, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 933.2675170898s, input_fired_time: 11.5708503723, output_fired_time: 9.9972944260, propagate_forward_time: 349.3634033203, propagate_backward_time: 550.1852416992, weight_update_time: 0.8848827481, other_time: 12.1506958008
epoch time: 72.7579498291s, input_fired_time: 1.4259712696, output_fired_time: 0.0000000000, propagate_forward_time: 69.1556396484, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1763381958
validation[          , genome 16152] predictions:    9915/  10000 (99.15%), best:    9928/10000 (99.28%), error:       278.02426, best error:       263.57901 on epoch:    75, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 974.8531494141s, input_fired_time: 11.8435411453, output_fired_time: 10.2671432495, propagate_forward_time: 364.6822814941, propagate_backward_time: 575.5845947266, weight_update_time: 0.9256591201, other_time: 12.4755859375
epoch time: 78.8516998291s, input_fired_time: 1.5018697977, output_fired_time: 0.0000000000, propagate_forward_time: 75.1130523682, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2367782593
validation[          , genome 16152] predictions:    9919/  10000 (99.19%), best:    9928/10000 (99.28%), error:       282.57523, best error:       263.57901 on epoch:    75, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 1025.0935058594s, input_fired_time: 12.2360515594, output_fired_time: 10.8141946793, propagate_forward_time: 385.0993957520, propagate_backward_time: 604.1795043945, weight_update_time: 0.9472253919, other_time: 12.7643432617
epoch time: 80.8607635498s, input_fired_time: 1.5325884819, output_fired_time: 0.0000000000, propagate_forward_time: 77.0650405884, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2631378174
validation[          , genome 16152] predictions:    9921/  10000 (99.21%), best:    9928/10000 (99.28%), error:       274.97400, best error:       263.57901 on epoch:    75, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 1023.6958618164s, input_fired_time: 12.2298641205, output_fired_time: 10.7227134705, propagate_forward_time: 384.0422363281, propagate_backward_time: 603.7827148438, weight_update_time: 0.9538724422, other_time: 12.9183349609
epoch time: 79.9366378784s, input_fired_time: 1.5226191282, output_fired_time: 0.0000000000, propagate_forward_time: 76.1348953247, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2791213989
validation[          , genome 16152] predictions:    9919/  10000 (99.19%), best:    9928/10000 (99.28%), error:       282.51614, best error:       263.57901 on epoch:    75, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 1017.9421997070s, input_fired_time: 12.2186861038, output_fired_time: 10.7648925781, propagate_forward_time: 381.8977050781, propagate_backward_time: 600.2716064453, weight_update_time: 0.9476043582, other_time: 12.7893066406
epoch time: 81.4182662964s, input_fired_time: 1.5536181927, output_fired_time: 0.0000000000, propagate_forward_time: 77.5405578613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3240890503
validation[          , genome 16152] predictions:    9923/  10000 (99.23%), best:    9928/10000 (99.28%), error:       266.10632, best error:       263.57901 on epoch:    75, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 1031.1556396484s, input_fired_time: 12.3636178970, output_fired_time: 10.8543882370, propagate_forward_time: 389.4531250000, propagate_backward_time: 605.5778198242, weight_update_time: 0.9532018304, other_time: 12.9066772461
epoch time: 78.9109268188s, input_fired_time: 1.5085072517, output_fired_time: 0.0000000000, propagate_forward_time: 75.1616287231, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2407913208
validation[          , genome 16152] predictions:    9927/  10000 (99.27%), best:    9928/10000 (99.28%), error:       274.78784, best error:       263.57901 on epoch:    75, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

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_1524608127_134_16152.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1524608127_134_16152_1_r842477205_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: 0.986251
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 9.56427e-05
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.82571e-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: 95
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 75
read number_validation_images: 10000
read best_validation_predictions: 9928
read best_validation_error: 263.579
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 16152
read normal distribution: '1 0 0'
generator_str: '1830173839'
read generator: 1830173839
read generated_by_map:
1 crossover 1
reading 137 nodes.
reading 539 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: 1212.36694335938s, input_fired_time: 14.1085357666016, output_fired_time: 12.7433271408081, propagate_forward_time: 458.371734619141, propagate_backward_time: 712.692687988281, weight_update_time: 1.04661071300507, other_time: 14.4507446289063
epoch time: 93.905632019043s, input_fired_time: 1.78068125247955, output_fired_time: 0, propagate_forward_time: 89.464599609375, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.66035461425781
validation[          , genome 16152] predictions:    9922/  10000 (99.22%), best:    9928/10000 (99.28%), error:       276.42764, best error:       263.57901 on epoch:    75, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 1123.7028808594s, input_fired_time: 13.2475795746, output_fired_time: 11.7447433472, propagate_forward_time: 424.9406433105, propagate_backward_time: 660.3228149414, weight_update_time: 1.0111794472, other_time: 13.4470825195
epoch time: 90.5814743042s, input_fired_time: 1.6739474535, output_fired_time: 0.0000000000, propagate_forward_time: 86.5082092285, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3993148804
validation[          , genome 16152] predictions:    9923/  10000 (99.23%), best:    9928/10000 (99.28%), error:       271.87518, best error:       263.57901 on epoch:    75, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 1138.7496337891s, input_fired_time: 13.2575998306, output_fired_time: 11.7889432907, propagate_forward_time: 430.9049377441, propagate_backward_time: 669.1141967773, weight_update_time: 1.0129622221, other_time: 13.6840209961
epoch time: 94.8902053833s, input_fired_time: 1.7780812979, output_fired_time: 0.0000000000, propagate_forward_time: 90.4686126709, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6435089111
validation[          , genome 16152] predictions:    9924/  10000 (99.24%), best:    9928/10000 (99.28%), error:       270.05890, best error:       263.57901 on epoch:    75, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 1136.5673828125s, input_fired_time: 13.4385957718, output_fired_time: 11.9250354767, propagate_forward_time: 430.0875244141, propagate_backward_time: 667.3386840820, weight_update_time: 1.0306955576, other_time: 13.7775268555
epoch time: 92.6923675537s, input_fired_time: 1.7387194633, output_fired_time: 0.0000000000, propagate_forward_time: 88.4390563965, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5145950317
validation[          , genome 16152] predictions:    9916/  10000 (99.16%), best:    9928/10000 (99.28%), error:       278.47867, best error:       263.57901 on epoch:    75, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 1137.5281982422s, input_fired_time: 13.2768344879, output_fired_time: 11.8985252380, propagate_forward_time: 429.7022399902, propagate_backward_time: 669.1362304688, weight_update_time: 1.0163083076, other_time: 13.5142822266
epoch time: 89.2218322754s, input_fired_time: 1.6740325689, output_fired_time: 0.0000000000, propagate_forward_time: 85.1399765015, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4078216553
validation[          , genome 16152] predictions:    9921/  10000 (99.21%), best:    9928/10000 (99.28%), error:       276.32007, best error:       263.57901 on epoch:    75, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 1126.8890380859s, input_fired_time: 13.1632852554, output_fired_time: 11.8627662659, propagate_forward_time: 426.2785644531, propagate_backward_time: 662.2628173828, weight_update_time: 1.0094549656, other_time: 13.3215332031
epoch time: 89.7442245483s, input_fired_time: 1.6823388338, output_fired_time: 0.0000000000, propagate_forward_time: 85.6052932739, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4565887451
validation[          , genome 16152] predictions:    9923/  10000 (99.23%), best:    9928/10000 (99.28%), error:       267.42578, best error:       263.57901 on epoch:    75, 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: 449.2098693848s, input_fired_time: 8.4264936447, output_fired_time: 0.0000000000, propagate_forward_time: 428.5838928223, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.1994934082
best training[          , genome 16152] predictions:   50000/  50000 (100.00%), best:    9928/10000 (99.28%), error:        75.92675, best error:       263.57901 on epoch:    75, 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: 89.3742599487s, input_fired_time: 1.6676253080, output_fired_time: 0.0000000000, propagate_forward_time: 85.2614974976, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4451370239
   testing[          , genome 16152] predictions:    9927/  10000 (99.27%), best:    9928/10000 (99.28%), error:       228.01398, best error:       263.57901 on epoch:    75, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
07:47:55 (5176): called boinc_finish(0)

</stderr_txt>
]]>