Nameexact_genome_1512568488_43_4467_1
Workunit2593653
Created7 Dec 2017, 10:09:20 UTC
Sent7 Dec 2017, 10:12:12 UTC
Report deadline12 Dec 2017, 17:30:55 UTC
Received7 Dec 2017, 23:52:35 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time4 hours 5 min 43 sec
CPU time2 hours 45 min 26 sec
Validate stateValid
Credit1,326.17
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size153.73 MB
Peak swap size156.75 MB
Peak disk usage1.56 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
31.01624 on epoch:    25, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 120.1375198364s, input_fired_time: 1.0157516003, output_fired_time: 0.9394561052, propagate_forward_time: 44.7344703674, propagate_backward_time: 69.9924621582, weight_update_time: 0.1827553809, other_time: 3.4553833008
epoch time: 9.5165662766s, input_fired_time: 0.1341478229, output_fired_time: 0.0000000000, propagate_forward_time: 8.7091159821, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6733026505
validation[          , genome  4467] predictions:    9619/  10000 (96.19%), best:    9638/10000 (96.38%), error:      1293.76587, best error:      1231.01624 on epoch:    25, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 122.0243377686s, input_fired_time: 1.0209215879, output_fired_time: 0.9725306630, propagate_forward_time: 45.3956451416, propagate_backward_time: 71.1878890991, weight_update_time: 0.2294135541, other_time: 3.4473495483
epoch time: 9.4085721970s, input_fired_time: 0.1008374467, output_fired_time: 0.0000000000, propagate_forward_time: 8.7025156021, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6052188873
validation[          , genome  4467] predictions:    9620/  10000 (96.20%), best:    9638/10000 (96.38%), error:      1274.14148, best error:      1231.01624 on epoch:    25, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 118.2199325562s, input_fired_time: 1.0321854353, output_fired_time: 0.8616868854, propagate_forward_time: 45.1748161316, propagate_backward_time: 67.9914169312, weight_update_time: 0.1207419112, other_time: 3.1598281860
epoch time: 10.3450107574s, input_fired_time: 0.1030513793, output_fired_time: 0.0000000000, propagate_forward_time: 9.6188850403, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6230745316
validation[          , genome  4467] predictions:    9488/  10000 (94.88%), best:    9638/10000 (96.38%), error:      1667.87927, best error:      1231.01624 on epoch:    25, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 120.2736129761s, input_fired_time: 1.1265854836, output_fired_time: 0.8293016553, propagate_forward_time: 45.8136367798, propagate_backward_time: 69.1045684814, weight_update_time: 0.1365538538, other_time: 3.3995208740
epoch time: 10.0675048828s, input_fired_time: 0.1047850400, output_fired_time: 0.0000000000, propagate_forward_time: 9.4157791138, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5469408035
validation[          , genome  4467] predictions:    9596/  10000 (95.96%), best:    9638/10000 (96.38%), error:      1349.18091, best error:      1231.01624 on epoch:    25, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 117.1667480469s, input_fired_time: 0.9989254475, output_fired_time: 0.9642750025, propagate_forward_time: 43.6206932068, propagate_backward_time: 68.4179000854, weight_update_time: 0.1511443108, other_time: 3.1649551392
epoch time: 10.0905828476s, input_fired_time: 0.1020053774, output_fired_time: 0.0000000000, propagate_forward_time: 9.4669618607, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5216159821
validation[          , genome  4467] predictions:    9571/  10000 (95.71%), best:    9638/10000 (96.38%), error:      1405.97241, best error:      1231.01624 on epoch:    25, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 120.8091964722s, input_fired_time: 0.9175849557, output_fired_time: 0.9018898010, propagate_forward_time: 46.1065292358, propagate_backward_time: 69.3977432251, weight_update_time: 0.1973800212, other_time: 3.4854431152
epoch time: 9.8276195526s, input_fired_time: 0.1805990487, output_fired_time: 0.0000000000, propagate_forward_time: 8.9796676636, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6673526764
validation[          , genome  4467] predictions:    9617/  10000 (96.17%), best:    9638/10000 (96.38%), error:      1289.20996, best error:      1231.01624 on epoch:    25, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 119.1300506592s, input_fired_time: 1.1882965565, output_fired_time: 0.9163829684, propagate_forward_time: 44.7856407166, propagate_backward_time: 68.9078903198, weight_update_time: 0.1191352606, other_time: 3.3318405151
epoch time: 10.2957296371s, input_fired_time: 0.1961129159, output_fired_time: 0.0000000000, propagate_forward_time: 9.6355533600, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4640636444
validation[          , genome  4467] predictions:    9598/  10000 (95.98%), best:    9638/10000 (96.38%), error:      1338.85498, best error:      1231.01624 on epoch:    25, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 112.4581756592s, input_fired_time: 0.8299462795, output_fired_time: 0.7807673216, propagate_forward_time: 42.5897560120, propagate_backward_time: 64.9449234009, weight_update_time: 0.1183806285, other_time: 3.3127822876
epoch time: 7.8939633369s, input_fired_time: 0.1011021659, output_fired_time: 0.0000000000, propagate_forward_time: 7.2901730537, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5026879311
validation[          , genome  4467] predictions:    9604/  10000 (96.04%), best:    9638/10000 (96.38%), error:      1297.38770, best error:      1231.01624 on epoch:    25, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 109.2504196167s, input_fired_time: 0.8713950515, output_fired_time: 1.0182044506, propagate_forward_time: 40.6218338013, propagate_backward_time: 63.5209121704, weight_update_time: 0.1782357544, other_time: 3.2180786133
epoch time: 8.1470355988s, input_fired_time: 0.1003177613, output_fired_time: 0.0000000000, propagate_forward_time: 7.5629839897, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4837336540
validation[          , genome  4467] predictions:    9634/  10000 (96.34%), best:    9638/10000 (96.38%), error:      1256.79639, best error:      1231.01624 on epoch:    25, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 110.0196838379s, input_fired_time: 0.8825804591, output_fired_time: 0.7662507296, propagate_forward_time: 40.9785766602, propagate_backward_time: 64.2169494629, weight_update_time: 0.1179038510, other_time: 3.1753234863
epoch time: 9.0277881622s, input_fired_time: 0.1180440784, output_fired_time: 0.0000000000, propagate_forward_time: 8.3404388428, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5693054199
validation[          , genome  4467] predictions:    9655/  10000 (96.55%), best:    9655/10000 (96.55%), error:      1193.76123, best error:      1193.76123 on epoch:    36, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 112.2533569336s, input_fired_time: 1.0509694815, output_fired_time: 1.0139492750, propagate_forward_time: 42.2338600159, propagate_backward_time: 64.8331069946, weight_update_time: 0.1959642023, other_time: 3.1214675903
epoch time: 8.8526010513s, input_fired_time: 0.1019239202, output_fired_time: 0.0000000000, propagate_forward_time: 8.1665725708, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5841045380
validation[          , genome  4467] predictions:    9639/  10000 (96.39%), best:    9655/10000 (96.55%), error:      1241.58252, best error:      1193.76123 on epoch:    36, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 116.9542160034s, input_fired_time: 0.9566218853, output_fired_time: 0.8816114664, propagate_forward_time: 44.3919792175, propagate_backward_time: 67.4162292480, weight_update_time: 0.1294620782, other_time: 3.3077697754
epoch time: 7.2831721306s, input_fired_time: 0.0977710113, output_fired_time: 0.0000000000, propagate_forward_time: 6.7367396355, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4486613274
validation[          , genome  4467] predictions:    9642/  10000 (96.42%), best:    9655/10000 (96.55%), error:      1218.97937, best error:      1193.76123 on epoch:    36, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 93.7949829102s, input_fired_time: 0.8866518736, output_fired_time: 0.7160081863, propagate_forward_time: 35.5538063049, propagate_backward_time: 54.0533409119, weight_update_time: 0.1434887946, other_time: 2.5851745605
epoch time: 8.0662746429s, input_fired_time: 0.1170328483, output_fired_time: 0.0000000000, propagate_forward_time: 7.4958882332, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4533534050
validation[          , genome  4467] predictions:    9589/  10000 (95.89%), best:    9655/10000 (96.55%), error:      1350.05090, best error:      1193.76123 on epoch:    36, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 110.1396484375s, input_fired_time: 0.9562462568, output_fired_time: 1.0046902895, propagate_forward_time: 40.8688392639, propagate_backward_time: 64.0058822632, weight_update_time: 0.1135932729, other_time: 3.3039932251
epoch time: 7.3019013405s, input_fired_time: 0.0989235491, output_fired_time: 0.0000000000, propagate_forward_time: 6.7139129639, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4890646935
validation[          , genome  4467] predictions:    9685/  10000 (96.85%), best:    9685/10000 (96.85%), error:      1117.06665, best error:      1117.06665 on epoch:    40, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 101.8503952026s, input_fired_time: 1.1292338371, output_fired_time: 0.7673686743, propagate_forward_time: 37.1506614685, propagate_backward_time: 60.1405181885, weight_update_time: 0.1105406657, other_time: 2.6626091003
epoch time: 7.9576621056s, input_fired_time: 0.1057906300, output_fired_time: 0.0000000000, propagate_forward_time: 7.3778324127, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4740390778
validation[          , genome  4467] predictions:    9672/  10000 (96.72%), best:    9685/10000 (96.85%), error:      1138.63208, best error:      1117.06665 on epoch:    40, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 103.7120437622s, input_fired_time: 0.8612058759, output_fired_time: 0.7863762379, propagate_forward_time: 39.5242118835, propagate_backward_time: 59.6283264160, weight_update_time: 0.1135819927, other_time: 2.9119224548
epoch time: 7.2724924088s, input_fired_time: 0.0992563590, output_fired_time: 0.0000000000, propagate_forward_time: 6.7313904762, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4418454170
validation[          , genome  4467] predictions:    9648/  10000 (96.48%), best:    9685/10000 (96.85%), error:      1191.81677, best error:      1117.06665 on epoch:    40, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 106.1038818359s, input_fired_time: 0.9576722383, output_fired_time: 0.8729532361, propagate_forward_time: 40.2946434021, propagate_backward_time: 60.8546409607, weight_update_time: 0.1909307390, other_time: 3.1239700317
epoch time: 7.0588378906s, input_fired_time: 0.0976783484, output_fired_time: 0.0000000000, propagate_forward_time: 6.5078759193, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4532837868
validation[          , genome  4467] predictions:    9663/  10000 (96.63%), best:    9685/10000 (96.85%), error:      1140.46936, best error:      1117.06665 on epoch:    40, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 109.9452819824s, input_fired_time: 1.1005098820, output_fired_time: 1.0640891790, propagate_forward_time: 41.4973297119, propagate_backward_time: 63.5561523438, weight_update_time: 0.1107659489, other_time: 2.7272033691
epoch time: 7.5903549194s, input_fired_time: 0.1013633013, output_fired_time: 0.0000000000, propagate_forward_time: 7.0368003845, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4521913528
validation[          , genome  4467] predictions:    9620/  10000 (96.20%), best:    9685/10000 (96.85%), error:      1318.74744, best error:      1117.06665 on epoch:    40, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 100.3958435059s, input_fired_time: 0.8045050502, output_fired_time: 0.8517743945, propagate_forward_time: 37.7955665588, propagate_backward_time: 58.2171592712, weight_update_time: 0.1147913858, other_time: 2.7268371582
epoch time: 8.1207771301s, input_fired_time: 0.0996280313, output_fired_time: 0.0000000000, propagate_forward_time: 7.5362071991, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4849414825
validation[          , genome  4467] predictions:    9656/  10000 (96.56%), best:    9685/10000 (96.85%), error:      1160.41479, best error:      1117.06665 on epoch:    40, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 102.9636993408s, input_fired_time: 1.0208473206, output_fired_time: 0.9043602943, propagate_forward_time: 38.4526252747, propagate_backward_time: 59.5117263794, weight_update_time: 0.1574238986, other_time: 3.0741462708
epoch time: 10.3388071060s, input_fired_time: 0.1514046341, output_fired_time: 0.0000000000, propagate_forward_time: 9.5487852097, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6386175156
validation[          , genome  4467] predictions:    9655/  10000 (96.55%), best:    9685/10000 (96.85%), error:      1179.00159, best error:      1117.06665 on epoch:    40, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 105.2300109863s, input_fired_time: 0.9228279591, output_fired_time: 0.7653607130, propagate_forward_time: 39.3878440857, propagate_backward_time: 61.3820571899, weight_update_time: 0.1124315262, other_time: 2.7719192505
epoch time: 9.5553941727s, input_fired_time: 0.0907656550, output_fired_time: 0.0000000000, propagate_forward_time: 8.9244232178, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5402050018
validation[          , genome  4467] predictions:    9599/  10000 (95.99%), best:    9685/10000 (96.85%), error:      1330.77271, best error:      1117.06665 on epoch:    40, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 102.7762756348s, input_fired_time: 0.9329264164, output_fired_time: 0.9380717278, propagate_forward_time: 38.6070747375, propagate_backward_time: 59.2976188660, weight_update_time: 0.1099370196, other_time: 3.0005798340
epoch time: 8.6169214249s, input_fired_time: 0.0995456129, output_fired_time: 0.0000000000, propagate_forward_time: 7.9450588226, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5723171234
validation[          , genome  4467] predictions:    9616/  10000 (96.16%), best:    9685/10000 (96.85%), error:      1280.73096, best error:      1117.06665 on epoch:    40, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 141.9328002930s, input_fired_time: 1.3451229334, output_fired_time: 1.2068074942, propagate_forward_time: 53.0086975098, propagate_backward_time: 82.2370910645, weight_update_time: 0.1936390400, other_time: 4.1350860596
epoch time: 17.4037189484s, input_fired_time: 0.1375604123, output_fired_time: 0.0000000000, propagate_forward_time: 16.5095672607, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7565917969
validation[          , genome  4467] predictions:    9662/  10000 (96.62%), best:    9685/10000 (96.85%), error:      1125.19324, best error:      1117.06665 on epoch:    40, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 204.4722137451s, input_fired_time: 2.0074939728, output_fired_time: 1.7508597374, propagate_forward_time: 77.9304122925, propagate_backward_time: 117.4353637695, weight_update_time: 0.2159997672, other_time: 5.3480911255
epoch time: 17.6937484741s, input_fired_time: 0.1532269120, output_fired_time: 0.0000000000, propagate_forward_time: 16.8608360291, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6796855927
validation[          , genome  4467] predictions:    9654/  10000 (96.54%), best:    9685/10000 (96.85%), error:      1178.54028, best error:      1117.06665 on epoch:    40, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

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_4467.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_4467_1_r1749267927_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: 0.954182
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000913721
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.65488e-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: 51
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 40
read number_validation_images: 10000
read best_validation_predictions: 9685
read best_validation_error: 1117.07
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: 4467
read normal distribution: '1 0 0'
generator_str: '367066398'
read generator: 367066398
read generated_by_map:
1 disable_edge 1
reading 17 nodes.
reading 29 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: 182.970428466797s, input_fired_time: 1.50951111316681, output_fired_time: 1.23734569549561, propagate_forward_time: 69.5026016235352, propagate_backward_time: 105.808921813965, weight_update_time: 0.419591933488846, other_time: 4.91204833984375
epoch time: 15.3684902191162s, input_fired_time: 0.154096528887749, output_fired_time: 0, propagate_forward_time: 14.5688390731812, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.645554542541504
validation[          , genome  4467] predictions:    9647/  10000 (96.47%), best:    9685/10000 (96.85%), error:      1196.16125, best error:      1117.06665 on epoch:    40, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 178.9291229248s, input_fired_time: 1.4676082134, output_fired_time: 1.8558282852, propagate_forward_time: 68.8590393066, propagate_backward_time: 102.3393173218, weight_update_time: 0.1393787563, other_time: 4.4073257446
epoch time: 14.9096431732s, input_fired_time: 0.1540663093, output_fired_time: 0.0000000000, propagate_forward_time: 14.0221757889, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7334012985
validation[          , genome  4467] predictions:    9648/  10000 (96.48%), best:    9685/10000 (96.85%), error:      1202.43530, best error:      1117.06665 on epoch:    40, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 174.1596069336s, input_fired_time: 1.3842688799, output_fired_time: 1.6886974573, propagate_forward_time: 69.3848724365, propagate_backward_time: 97.0772323608, weight_update_time: 0.1227722690, other_time: 4.6245498657
epoch time: 13.7817955017s, input_fired_time: 0.1066269204, output_fired_time: 0.0000000000, propagate_forward_time: 12.0205307007, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6546382904
validation[          , genome  4467] predictions:    9650/  10000 (96.50%), best:    9685/10000 (96.85%), error:      1159.78259, best error:      1117.06665 on epoch:    40, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 155.6633148193s, input_fired_time: 1.0137262344, output_fired_time: 1.6119558811, propagate_forward_time: 60.5819358826, propagate_backward_time: 87.6611557007, weight_update_time: 0.1384899914, other_time: 4.7945327759
epoch time: 11.0406932831s, input_fired_time: 0.1222222969, output_fired_time: 0.0000000000, propagate_forward_time: 10.1862020493, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7322692871
validation[          , genome  4467] predictions:    9623/  10000 (96.23%), best:    9685/10000 (96.85%), error:      1265.48132, best error:      1117.06665 on epoch:    40, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 136.6482391357s, input_fired_time: 1.3974468708, output_fired_time: 1.8781416416, propagate_forward_time: 51.8435478210, propagate_backward_time: 77.8167953491, weight_update_time: 0.1383983195, other_time: 3.7123031616
epoch time: 12.0056381226s, input_fired_time: 0.1377137303, output_fired_time: 0.0000000000, propagate_forward_time: 11.1002569199, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7676677704
validation[          , genome  4467] predictions:    9639/  10000 (96.39%), best:    9685/10000 (96.85%), error:      1208.61084, best error:      1117.06665 on epoch:    40, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 114.4042205811s, input_fired_time: 0.8539798856, output_fired_time: 1.2652577162, propagate_forward_time: 42.4727478027, propagate_backward_time: 66.9395217896, weight_update_time: 0.1172804609, other_time: 2.8727111816
epoch time: 6.5375618935s, input_fired_time: 0.0936197788, output_fired_time: 0.0000000000, propagate_forward_time: 6.0188736916, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4250683784
validation[          , genome  4467] predictions:    9637/  10000 (96.37%), best:    9685/10000 (96.85%), error:      1197.50891, best error:      1117.06665 on epoch:    40, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 89.8882522583s, input_fired_time: 0.9081794620, output_fired_time: 0.7112305760, propagate_forward_time: 34.1822662354, propagate_backward_time: 51.7116127014, weight_update_time: 0.1093248650, other_time: 2.3749656677
epoch time: 7.3650498390s, input_fired_time: 0.0970410481, output_fired_time: 0.0000000000, propagate_forward_time: 6.8490123749, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4189963341
validation[          , genome  4467] predictions:    9658/  10000 (96.58%), best:    9685/10000 (96.85%), error:      1123.23059, best error:      1117.06665 on epoch:    40, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 88.4453582764s, input_fired_time: 0.8415101171, output_fired_time: 0.6889788508, propagate_forward_time: 33.2232933044, propagate_backward_time: 51.1490859985, weight_update_time: 0.1086551622, other_time: 2.5424919128
epoch time: 6.8817024231s, input_fired_time: 0.0967179760, output_fired_time: 0.0000000000, propagate_forward_time: 6.3343534470, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4506311417
validation[          , genome  4467] predictions:    9673/  10000 (96.73%), best:    9685/10000 (96.85%), error:      1137.85913, best error:      1117.06665 on epoch:    40, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 91.1963119507s, input_fired_time: 0.7948351502, output_fired_time: 0.6759251952, propagate_forward_time: 33.8029747009, propagate_backward_time: 53.1494483948, weight_update_time: 0.1554404348, other_time: 2.7731246948
epoch time: 7.0350742340s, input_fired_time: 0.1160945073, output_fired_time: 0.0000000000, propagate_forward_time: 6.4637742043, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4552054405
validation[          , genome  4467] predictions:    9607/  10000 (96.07%), best:    9685/10000 (96.85%), error:      1360.71814, best error:      1117.06665 on epoch:    40, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 90.0212707520s, input_fired_time: 0.7938575149, output_fired_time: 0.6850336194, propagate_forward_time: 33.9168357849, propagate_backward_time: 52.0224838257, weight_update_time: 0.1395147294, other_time: 2.6030616760
epoch time: 7.5632567406s, input_fired_time: 0.1273992360, output_fired_time: 0.0000000000, propagate_forward_time: 7.0140948296, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4217624664
validation[          , genome  4467] predictions:    9660/  10000 (96.60%), best:    9685/10000 (96.85%), error:      1133.85193, best error:      1117.06665 on epoch:    40, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 89.1586456299s, input_fired_time: 0.8140226603, output_fired_time: 0.6758839488, propagate_forward_time: 33.5482406616, propagate_backward_time: 51.6545753479, weight_update_time: 0.1088748053, other_time: 2.4659233093
epoch time: 7.6778650284s, input_fired_time: 0.0921118706, output_fired_time: 0.0000000000, propagate_forward_time: 7.1335268021, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4522261620
validation[          , genome  4467] predictions:    9608/  10000 (96.08%), best:    9685/10000 (96.85%), error:      1260.48706, best error:      1117.06665 on epoch:    40, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 87.0153274536s, input_fired_time: 0.8531210423, output_fired_time: 0.6788840294, propagate_forward_time: 32.7026596069, propagate_backward_time: 50.3055915833, weight_update_time: 0.1076362878, other_time: 2.4750709534
epoch time: 6.8156538010s, input_fired_time: 0.0944477022, output_fired_time: 0.0000000000, propagate_forward_time: 6.2665486336, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4546575546
validation[          , genome  4467] predictions:    9656/  10000 (96.56%), best:    9685/10000 (96.85%), error:      1130.71667, best error:      1117.06665 on epoch:    40, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

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_4467.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_4467_1_r1749267927_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: 0.970645
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000493738
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.97495e-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: 63
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 40
read number_validation_images: 10000
read best_validation_predictions: 9685
read best_validation_error: 1117.07
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: 4467
read normal distribution: '1 0 0'
generator_str: '1388848905'
read generator: 1388848905
read generated_by_map:
1 disable_edge 1
reading 17 nodes.
reading 29 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: 95.4675216674805s, input_fired_time: 0.846240818500519, output_fired_time: 0.807352662086487, propagate_forward_time: 35.8865432739258, propagate_backward_time: 55.2776069641113, weight_update_time: 0.157428741455078, other_time: 2.64978408813477
epoch time: 6.50536346435547s, input_fired_time: 0.094418853521347, output_fired_time: 0, propagate_forward_time: 5.99363231658936, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.417312145233154
validation[          , genome  4467] predictions:    9658/  10000 (96.58%), best:    9685/10000 (96.85%), error:      1169.00159, best error:      1117.06665 on epoch:    40, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 93.9787826538s, input_fired_time: 0.8322185874, output_fired_time: 0.8387947083, propagate_forward_time: 35.5272026062, propagate_backward_time: 54.0655937195, weight_update_time: 0.1414188296, other_time: 2.7149734497
epoch time: 7.4136962891s, input_fired_time: 0.1402099580, output_fired_time: 0.0000000000, propagate_forward_time: 6.8621821404, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4113039970
validation[          , genome  4467] predictions:    9646/  10000 (96.46%), best:    9685/10000 (96.85%), error:      1175.84534, best error:      1117.06665 on epoch:    40, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 91.9420089722s, input_fired_time: 0.9077782631, output_fired_time: 0.7521809340, propagate_forward_time: 34.2763671875, propagate_backward_time: 53.4339637756, weight_update_time: 0.1091618016, other_time: 2.5717201233
epoch time: 7.1506133080s, input_fired_time: 0.0947849303, output_fired_time: 0.0000000000, propagate_forward_time: 6.6199073792, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4359211922
validation[          , genome  4467] predictions:    9698/  10000 (96.98%), best:    9698/10000 (96.98%), error:      1071.43896, best error:      1071.43896 on epoch:    65, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 92.6062393188s, input_fired_time: 0.7937707901, output_fired_time: 0.7820683718, propagate_forward_time: 34.6893539429, propagate_backward_time: 53.7974777222, weight_update_time: 0.1115334630, other_time: 2.5435714722
epoch time: 7.6760692596s, input_fired_time: 0.1615541875, output_fired_time: 0.0000000000, propagate_forward_time: 7.0659413338, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4485735893
validation[          , genome  4467] predictions:    9665/  10000 (96.65%), best:    9698/10000 (96.98%), error:      1144.14636, best error:      1071.43896 on epoch:    65, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 94.6789703369s, input_fired_time: 0.8700214028, output_fired_time: 0.7651048303, propagate_forward_time: 35.4922332764, propagate_backward_time: 54.7672958374, weight_update_time: 0.1104556397, other_time: 2.7843170166
epoch time: 7.1426959038s, input_fired_time: 0.0989455283, output_fired_time: 0.0000000000, propagate_forward_time: 6.6075034142, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4362468719
validation[          , genome  4467] predictions:    9658/  10000 (96.58%), best:    9698/10000 (96.98%), error:      1134.81665, best error:      1071.43896 on epoch:    65, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 95.1416397095s, input_fired_time: 0.9272911549, output_fired_time: 0.7581437230, propagate_forward_time: 35.7374229431, propagate_backward_time: 55.0962104797, weight_update_time: 0.1119425520, other_time: 2.6225738525
epoch time: 7.5827383995s, input_fired_time: 0.0958545133, output_fired_time: 0.0000000000, propagate_forward_time: 7.0550942421, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4317898750
validation[          , genome  4467] predictions:    9687/  10000 (96.87%), best:    9698/10000 (96.98%), error:      1110.63403, best error:      1071.43896 on epoch:    65, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 96.3342437744s, input_fired_time: 0.8382280469, output_fired_time: 0.7049320936, propagate_forward_time: 36.1361694336, propagate_backward_time: 55.8556365967, weight_update_time: 0.1609442383, other_time: 2.7992782593
epoch time: 6.6812252998s, input_fired_time: 0.0924619362, output_fired_time: 0.0000000000, propagate_forward_time: 6.1372742653, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4514889717
validation[          , genome  4467] predictions:    9654/  10000 (96.54%), best:    9698/10000 (96.98%), error:      1178.20435, best error:      1071.43896 on epoch:    65, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 95.6789398193s, input_fired_time: 0.9073171616, output_fired_time: 0.7087484598, propagate_forward_time: 36.1283302307, propagate_backward_time: 55.3265075684, weight_update_time: 0.1121975332, other_time: 2.6080360413
epoch time: 7.6607074738s, input_fired_time: 0.1029755697, output_fired_time: 0.0000000000, propagate_forward_time: 7.1018214226, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4559106827
validation[          , genome  4467] predictions:    9688/  10000 (96.88%), best:    9698/10000 (96.98%), error:      1093.16785, best error:      1071.43896 on epoch:    65, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 94.4540328979s, input_fired_time: 0.8549711108, output_fired_time: 0.8298906684, propagate_forward_time: 35.0612907410, propagate_backward_time: 54.9561653137, weight_update_time: 0.1579813361, other_time: 2.7517166138
epoch time: 6.9599380493s, input_fired_time: 0.0985057205, output_fired_time: 0.0000000000, propagate_forward_time: 6.4307866096, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4306459427
validation[          , genome  4467] predictions:    9663/  10000 (96.63%), best:    9698/10000 (96.98%), error:      1204.44299, best error:      1071.43896 on epoch:    65, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 96.2459793091s, input_fired_time: 0.8984606862, output_fired_time: 0.7663627267, propagate_forward_time: 36.0495872498, propagate_backward_time: 55.9225807190, weight_update_time: 0.1255917698, other_time: 2.6089859009
epoch time: 7.5187220573s, input_fired_time: 0.1246709600, output_fired_time: 0.0000000000, propagate_forward_time: 6.9525156021, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4415354729
validation[          , genome  4467] predictions:    9636/  10000 (96.36%), best:    9698/10000 (96.98%), error:      1207.91223, best error:      1071.43896 on epoch:    65, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 93.2515563965s, input_fired_time: 0.8500880599, output_fired_time: 0.7949244976, propagate_forward_time: 35.2425003052, propagate_backward_time: 53.8275947571, weight_update_time: 0.1136557236, other_time: 2.5364494324
epoch time: 6.9271230698s, input_fired_time: 0.0982916951, output_fired_time: 0.0000000000, propagate_forward_time: 6.3950896263, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4337415695
validation[          , genome  4467] predictions:    9643/  10000 (96.43%), best:    9698/10000 (96.98%), error:      1164.02405, best error:      1071.43896 on epoch:    65, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 94.6058959961s, input_fired_time: 0.7888551354, output_fired_time: 0.7458530664, propagate_forward_time: 35.4152755737, propagate_backward_time: 54.9361763000, weight_update_time: 0.1256659478, other_time: 2.7197380066
epoch time: 6.7548213005s, input_fired_time: 0.0961847603, output_fired_time: 0.0000000000, propagate_forward_time: 6.2366089821, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4220275879
validation[          , genome  4467] predictions:    9630/  10000 (96.30%), best:    9698/10000 (96.98%), error:      1256.01306, best error:      1071.43896 on epoch:    65, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 87.1390991211s, input_fired_time: 0.8263376355, output_fired_time: 0.7300910950, propagate_forward_time: 32.3707046509, propagate_backward_time: 50.6640472412, weight_update_time: 0.1086093485, other_time: 2.5479202271
epoch time: 6.5331120491s, input_fired_time: 0.1238209233, output_fired_time: 0.0000000000, propagate_forward_time: 6.0037212372, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4055700302
validation[          , genome  4467] predictions:    9580/  10000 (95.80%), best:    9698/10000 (96.98%), error:      1396.68359, best error:      1071.43896 on epoch:    65, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 87.1798400879s, input_fired_time: 0.8697187304, output_fired_time: 0.6949002147, propagate_forward_time: 32.4727287292, propagate_backward_time: 50.7382888794, weight_update_time: 0.1078807861, other_time: 2.4042015076
epoch time: 6.8857569695s, input_fired_time: 0.1097586825, output_fired_time: 0.0000000000, propagate_forward_time: 6.3201479912, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4558501244
validation[          , genome  4467] predictions:    9633/  10000 (96.33%), best:    9698/10000 (96.98%), error:      1239.60791, best error:      1071.43896 on epoch:    65, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 86.7383651733s, input_fired_time: 0.8063076735, output_fired_time: 0.6909489036, propagate_forward_time: 32.5843009949, propagate_backward_time: 50.2255973816, weight_update_time: 0.1068956479, other_time: 2.4312133789
epoch time: 7.0567812920s, input_fired_time: 0.0943440944, output_fired_time: 0.0000000000, propagate_forward_time: 6.5169281960, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4455089569
validation[          , genome  4467] predictions:    9690/  10000 (96.90%), best:    9698/10000 (96.98%), error:      1096.16077, best error:      1071.43896 on epoch:    65, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 128.5794372559s, input_fired_time: 1.3704041243, output_fired_time: 1.3230894804, propagate_forward_time: 49.7865791321, propagate_backward_time: 72.0793838501, weight_update_time: 0.1198263988, other_time: 4.0199813843
epoch time: 10.9420938492s, input_fired_time: 0.1082257330, output_fired_time: 0.0000000000, propagate_forward_time: 10.3568410873, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4770269394
validation[          , genome  4467] predictions:    9692/  10000 (96.92%), best:    9698/10000 (96.98%), error:      1104.87170, best error:      1071.43896 on epoch:    65, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 137.8063354492s, input_fired_time: 1.1507484913, output_fired_time: 1.0485868454, propagate_forward_time: 54.1769294739, propagate_backward_time: 78.4548034668, weight_update_time: 0.1229737625, other_time: 2.9752807617
epoch time: 11.2982854843s, input_fired_time: 0.1243499145, output_fired_time: 0.0000000000, propagate_forward_time: 10.4314765930, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7424592972
validation[          , genome  4467] predictions:    9653/  10000 (96.53%), best:    9698/10000 (96.98%), error:      1195.98535, best error:      1071.43896 on epoch:    65, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 137.1881256104s, input_fired_time: 0.9795456529, output_fired_time: 1.2989333868, propagate_forward_time: 51.9952316284, propagate_backward_time: 79.0949707031, weight_update_time: 0.1387083530, other_time: 3.8194351196
epoch time: 11.3698711395s, input_fired_time: 0.3582260609, output_fired_time: 0.0000000000, propagate_forward_time: 9.9566926956, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0549526215
validation[          , genome  4467] predictions:    9660/  10000 (96.60%), best:    9698/10000 (96.98%), error:      1197.46509, best error:      1071.43896 on epoch:    65, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 136.5959320068s, input_fired_time: 1.1045802832, output_fired_time: 1.1665861607, propagate_forward_time: 49.7741165161, propagate_backward_time: 80.0581207275, weight_update_time: 0.1228533909, other_time: 4.4925308228
epoch time: 11.0455904007s, input_fired_time: 0.1083910838, output_fired_time: 0.0000000000, propagate_forward_time: 10.4608650208, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4763345718
validation[          , genome  4467] predictions:    9684/  10000 (96.84%), best:    9698/10000 (96.98%), error:      1141.86890, best error:      1071.43896 on epoch:    65, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 137.0122222900s, input_fired_time: 0.8566330671, output_fired_time: 1.0325622559, propagate_forward_time: 53.0157165527, propagate_backward_time: 78.0833129883, weight_update_time: 0.6231526136, other_time: 4.0240020752
epoch time: 11.0331821442s, input_fired_time: 0.1081627086, output_fired_time: 0.0000000000, propagate_forward_time: 10.3863458633, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5386734009
validation[          , genome  4467] predictions:    9670/  10000 (96.70%), best:    9698/10000 (96.98%), error:      1116.95337, best error:      1071.43896 on epoch:    65, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 136.7926788330s, input_fired_time: 1.1378488541, output_fired_time: 1.2675015926, propagate_forward_time: 51.8297958374, propagate_backward_time: 79.5665664673, weight_update_time: 0.1228856742, other_time: 2.9909667969
epoch time: 12.2521266937s, input_fired_time: 0.1085651815, output_fired_time: 0.0000000000, propagate_forward_time: 11.5731964111, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5703649521
validation[          , genome  4467] predictions:    9691/  10000 (96.91%), best:    9698/10000 (96.98%), error:      1102.47144, best error:      1071.43896 on epoch:    65, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 146.2803802490s, input_fired_time: 1.0609211922, output_fired_time: 0.8606084585, propagate_forward_time: 58.6109733582, propagate_backward_time: 82.3312683105, weight_update_time: 0.1233270317, other_time: 3.4165954590
epoch time: 11.8352441788s, input_fired_time: 0.1242178828, output_fired_time: 0.0000000000, propagate_forward_time: 11.1551790237, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5558471680
validation[          , genome  4467] predictions:    9644/  10000 (96.44%), best:    9698/10000 (96.98%), error:      1197.41699, best error:      1071.43896 on epoch:    65, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 142.9883880615s, input_fired_time: 2.2805576324, output_fired_time: 1.0797259808, propagate_forward_time: 51.6456947327, propagate_backward_time: 83.6136016846, weight_update_time: 0.1543435901, other_time: 4.3688049316
epoch time: 11.2799730301s, input_fired_time: 0.1084842831, output_fired_time: 0.0000000000, propagate_forward_time: 10.1149873734, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0565013885
validation[          , genome  4467] predictions:    9683/  10000 (96.83%), best:    9698/10000 (96.98%), error:      1097.06653, best error:      1071.43896 on epoch:    65, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 138.6382141113s, input_fired_time: 1.1548396349, output_fired_time: 1.0170923471, propagate_forward_time: 54.5317993164, propagate_backward_time: 78.8000640869, weight_update_time: 0.1234109700, other_time: 3.1344146729
epoch time: 11.7977085114s, input_fired_time: 0.1085349545, output_fired_time: 0.0000000000, propagate_forward_time: 11.1009464264, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5882272720
validation[          , genome  4467] predictions:    9681/  10000 (96.81%), best:    9698/10000 (96.98%), error:      1115.61792, best error:      1071.43896 on epoch:    65, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 137.0501098633s, input_fired_time: 1.4213414192, output_fired_time: 1.0950034857, propagate_forward_time: 50.9756698608, propagate_backward_time: 79.5037307739, weight_update_time: 0.6232882738, other_time: 4.0543670654
epoch time: 10.6413440704s, input_fired_time: 0.1088601127, output_fired_time: 0.0000000000, propagate_forward_time: 9.7903261185, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7421579361
validation[          , genome  4467] predictions:    9681/  10000 (96.81%), best:    9698/10000 (96.98%), error:      1100.93115, best error:      1071.43896 on epoch:    65, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 139.5959625244s, input_fired_time: 0.9679532647, output_fired_time: 0.8135954142, propagate_forward_time: 54.0212860107, propagate_backward_time: 79.6575012207, weight_update_time: 0.1228856519, other_time: 4.1356201172
epoch time: 11.4367990494s, input_fired_time: 0.1091094539, output_fired_time: 0.0000000000, propagate_forward_time: 10.7090272903, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6186618805
validation[          , genome  4467] predictions:    9650/  10000 (96.50%), best:    9698/10000 (96.98%), error:      1186.56995, best error:      1071.43896 on epoch:    65, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 138.7906341553s, input_fired_time: 1.3895273209, output_fired_time: 1.0320636034, propagate_forward_time: 52.9732284546, propagate_backward_time: 80.3278884888, weight_update_time: 0.1229056418, other_time: 3.0679321289
epoch time: 11.5785017014s, input_fired_time: 0.1246202737, output_fired_time: 0.0000000000, propagate_forward_time: 10.6644401550, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7894411087
validation[          , genome  4467] predictions:    9673/  10000 (96.73%), best:    9698/10000 (96.98%), error:      1103.87207, best error:      1071.43896 on epoch:    65, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 136.1325988770s, input_fired_time: 1.1562329531, output_fired_time: 0.7815120220, propagate_forward_time: 51.5572967529, propagate_backward_time: 78.7535705566, weight_update_time: 0.4046121836, other_time: 3.8839874268
epoch time: 11.3943662643s, input_fired_time: 0.1246802136, output_fired_time: 0.0000000000, propagate_forward_time: 10.6991767883, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5705089569
validation[          , genome  4467] predictions:    9642/  10000 (96.42%), best:    9698/10000 (96.98%), error:      1202.01611, best error:      1071.43896 on epoch:    65, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 135.5132904053s, input_fired_time: 1.1732295752, output_fired_time: 1.2818856239, propagate_forward_time: 50.9988746643, propagate_backward_time: 78.5968246460, weight_update_time: 0.1233433783, other_time: 3.4624710083
epoch time: 11.0983295441s, input_fired_time: 0.1246371791, output_fired_time: 0.0000000000, propagate_forward_time: 10.2471809387, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7265110016
validation[          , genome  4467] predictions:    9695/  10000 (96.95%), best:    9695/10000 (96.95%), error:      1068.81494, best error:      1068.81494 on epoch:    91, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 137.3952484131s, input_fired_time: 1.0931653976, output_fired_time: 0.7900331616, propagate_forward_time: 50.4834556580, propagate_backward_time: 81.0022354126, weight_update_time: 0.1541806012, other_time: 4.0263442993
epoch time: 10.8848896027s, input_fired_time: 0.3598123193, output_fired_time: 0.0000000000, propagate_forward_time: 9.5486326218, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9764442444
validation[          , genome  4467] predictions:    9655/  10000 (96.55%), best:    9695/10000 (96.95%), error:      1180.33813, best error:      1068.81494 on epoch:    91, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 135.0519714355s, input_fired_time: 0.9060581326, output_fired_time: 1.2981839180, propagate_forward_time: 49.9445152283, propagate_backward_time: 78.5991744995, weight_update_time: 0.1228513345, other_time: 4.3040390015
epoch time: 11.5157775879s, input_fired_time: 0.1091191545, output_fired_time: 0.0000000000, propagate_forward_time: 10.0840883255, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3225698471
validation[          , genome  4467] predictions:    9667/  10000 (96.67%), best:    9695/10000 (96.95%), error:      1139.20020, best error:      1068.81494 on epoch:    91, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 135.1277465820s, input_fired_time: 1.1877574921, output_fired_time: 1.0045988560, propagate_forward_time: 50.3371009827, propagate_backward_time: 79.1677169800, weight_update_time: 0.3730875552, other_time: 3.4305801392
epoch time: 10.9685487747s, input_fired_time: 0.1094381288, output_fired_time: 0.0000000000, propagate_forward_time: 10.1326990128, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7264118195
validation[          , genome  4467] predictions:    9648/  10000 (96.48%), best:    9695/10000 (96.95%), error:      1213.03564, best error:      1068.81494 on epoch:    91, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 133.8361816406s, input_fired_time: 0.9374317527, output_fired_time: 0.7657954693, propagate_forward_time: 50.5454788208, propagate_backward_time: 77.8755187988, weight_update_time: 0.1230182424, other_time: 3.7119522095
epoch time: 10.8256731033s, input_fired_time: 0.1092763692, output_fired_time: 0.0000000000, propagate_forward_time: 10.2401247025, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4762716293
validation[          , genome  4467] predictions:    9667/  10000 (96.67%), best:    9695/10000 (96.95%), error:      1121.70618, best error:      1068.81494 on epoch:    91, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 130.0780792236s, input_fired_time: 0.8438380361, output_fired_time: 1.2805259228, propagate_forward_time: 49.4035453796, propagate_backward_time: 74.5232467651, weight_update_time: 0.1230597273, other_time: 4.0269241333
epoch time: 10.0822591782s, input_fired_time: 0.1072011814, output_fired_time: 0.0000000000, propagate_forward_time: 9.5069656372, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4680919647
validation[          , genome  4467] predictions:    9666/  10000 (96.66%), best:    9695/10000 (96.95%), error:      1129.39246, best error:      1068.81494 on epoch:    91, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 115.3001632690s, input_fired_time: 0.8165264130, output_fired_time: 1.2101427317, propagate_forward_time: 45.6684265137, propagate_backward_time: 64.8569488525, weight_update_time: 0.1173308790, other_time: 2.7481155396
epoch time: 6.2963099480s, input_fired_time: 0.0946743190, output_fired_time: 0.0000000000, propagate_forward_time: 5.7950744629, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4065613747
validation[          , genome  4467] predictions:    9664/  10000 (96.64%), best:    9695/10000 (96.95%), error:      1107.98315, best error:      1068.81494 on epoch:    91, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 78.1042098999s, input_fired_time: 0.7514670491, output_fired_time: 0.6263607740, propagate_forward_time: 29.1138801575, propagate_backward_time: 45.3576622009, weight_update_time: 0.1045051068, other_time: 2.2548446655
epoch time: 6.2771496773s, input_fired_time: 0.0945575759, output_fired_time: 0.0000000000, propagate_forward_time: 5.7771806717, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4054112434
validation[          , genome  4467] predictions:    9667/  10000 (96.67%), best:    9695/10000 (96.95%), error:      1126.57886, best error:      1068.81494 on epoch:    91, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 79.0599212646s, input_fired_time: 0.7575409412, output_fired_time: 0.6305547357, propagate_forward_time: 29.5575809479, propagate_backward_time: 45.8361434937, weight_update_time: 0.1062290594, other_time: 2.2781066895
epoch time: 6.7449793816s, input_fired_time: 0.0988958552, output_fired_time: 0.0000000000, propagate_forward_time: 6.2179188728, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4281644821
validation[          , genome  4467] predictions:    9651/  10000 (96.51%), best:    9695/10000 (96.95%), error:      1198.25293, best error:      1068.81494 on epoch:    91, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 77.5949249268s, input_fired_time: 0.7491145730, output_fired_time: 0.6201784015, propagate_forward_time: 28.8954906464, propagate_backward_time: 45.0956382751, weight_update_time: 0.1034278423, other_time: 2.2345008850
epoch time: 6.1271700859s, input_fired_time: 0.0926800668, output_fired_time: 0.0000000000, propagate_forward_time: 5.6373152733, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3971748352
validation[          , genome  4467] predictions:    9669/  10000 (96.69%), best:    9695/10000 (96.95%), error:      1135.90344, best error:      1068.81494 on epoch:    91, 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: 31.8894176483s, input_fired_time: 0.4756220579, output_fired_time: 0.0000000000, propagate_forward_time: 29.2948913574, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1189041138
best training[          , genome  4467] predictions:   49148/  50000 (98.30%), best:    9695/10000 (96.95%), error:      3111.66016, best error:      1068.81494 on epoch:    91, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 6.0688924789s, input_fired_time: 0.0908429697, output_fired_time: 0.0000000000, propagate_forward_time: 5.5801663399, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3978829384
   testing[          , genome  4467] predictions:    9670/  10000 (96.70%), best:    9695/10000 (96.95%), error:      1052.79565, best error:      1068.81494 on epoch:    91, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
00:52:19 (2924): called boinc_finish(0)

</stderr_txt>
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