Nameexact_genome_1512568488_44_1560_0
Workunit2579088
Created6 Dec 2017, 19:54:46 UTC
Sent6 Dec 2017, 20:00:40 UTC
Report deadline11 Dec 2017, 7:52:55 UTC
Received6 Dec 2017, 23:26:14 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID49051
Run time2 hours 19 min 12 sec
CPU time2 hours 18 min 46 sec
Validate stateValid
Credit1,123.66
Device peak FLOPS1.56 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size152.73 MB
Peak swap size157.50 MB
Peak disk usage1.60 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
error:      2088.71655, best error:      2088.67627 on epoch:    23, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 75.4008636475s, input_fired_time: 0.8662753105, output_fired_time: 0.8155296445, propagate_forward_time: 28.3662738800, propagate_backward_time: 42.6739158630, weight_update_time: 0.1152052730, other_time: 2.6788749695
epoch time: 6.1799974442s, input_fired_time: 0.1098598763, output_fired_time: 0.0000000000, propagate_forward_time: 5.5779209137, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4922165871
validation[          , genome  1560] predictions:    9380/  10000 (93.80%), best:    9387/10000 (93.87%), error:      2101.15430, best error:      2088.67627 on epoch:    23, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 76.1305770874s, input_fired_time: 0.8720213175, output_fired_time: 0.8223744035, propagate_forward_time: 28.6055698395, propagate_backward_time: 43.1432838440, weight_update_time: 0.1142217442, other_time: 2.6873283386
epoch time: 6.2974429131s, input_fired_time: 0.1098301858, output_fired_time: 0.0000000000, propagate_forward_time: 5.6979084015, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4897041321
validation[          , genome  1560] predictions:    9371/  10000 (93.71%), best:    9387/10000 (93.87%), error:      2107.74609, best error:      2088.67627 on epoch:    23, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 75.4352951050s, input_fired_time: 0.8679233193, output_fired_time: 0.8112049103, propagate_forward_time: 28.3174381256, propagate_backward_time: 42.7265853882, weight_update_time: 0.1144173443, other_time: 2.7121505737
epoch time: 6.3297653198s, input_fired_time: 0.1075691804, output_fired_time: 0.0000000000, propagate_forward_time: 5.7613430023, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4608530998
validation[          , genome  1560] predictions:    9369/  10000 (93.69%), best:    9387/10000 (93.87%), error:      2131.24756, best error:      2088.67627 on epoch:    23, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 75.2339172363s, input_fired_time: 0.8650371432, output_fired_time: 0.8116377592, propagate_forward_time: 28.1735324860, propagate_backward_time: 42.6838150024, weight_update_time: 0.1141674817, other_time: 2.6998977661
epoch time: 6.3453531265s, input_fired_time: 0.1085040942, output_fired_time: 0.0000000000, propagate_forward_time: 5.7562756538, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4805731773
validation[          , genome  1560] predictions:    9369/  10000 (93.69%), best:    9369/10000 (93.69%), error:      2079.68213, best error:      2079.68213 on epoch:    30, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 76.0253067017s, input_fired_time: 0.8640534282, output_fired_time: 0.8204988837, propagate_forward_time: 28.5999603271, propagate_backward_time: 43.0734748840, weight_update_time: 0.1149318889, other_time: 2.6673240662
epoch time: 6.3263072968s, input_fired_time: 0.1058079079, output_fired_time: 0.0000000000, propagate_forward_time: 5.7580180168, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4624814987
validation[          , genome  1560] predictions:    9347/  10000 (93.47%), best:    9369/10000 (93.69%), error:      2145.25781, best error:      2079.68213 on epoch:    30, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 75.4647216797s, input_fired_time: 0.8657044768, output_fired_time: 0.8154301643, propagate_forward_time: 28.3669757843, propagate_backward_time: 42.7312736511, weight_update_time: 0.1150614396, other_time: 2.6853370667
epoch time: 6.3357815742s, input_fired_time: 0.1077458039, output_fired_time: 0.0000000000, propagate_forward_time: 5.7491178513, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4789180756
validation[          , genome  1560] predictions:    9374/  10000 (93.74%), best:    9369/10000 (93.69%), error:      2112.67334, best error:      2079.68213 on epoch:    30, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 76.0216140747s, input_fired_time: 0.8694347143, output_fired_time: 0.8228572607, propagate_forward_time: 28.5155467987, propagate_backward_time: 43.1275482178, weight_update_time: 0.1143410355, other_time: 2.6862182617
epoch time: 6.3323454857s, input_fired_time: 0.1071585864, output_fired_time: 0.0000000000, propagate_forward_time: 5.7680873871, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4570994377
validation[          , genome  1560] predictions:    9368/  10000 (93.68%), best:    9369/10000 (93.69%), error:      2131.76245, best error:      2079.68213 on epoch:    30, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 76.1642379761s, input_fired_time: 0.8698098660, output_fired_time: 0.8225808144, propagate_forward_time: 28.6241874695, propagate_backward_time: 43.1552009583, weight_update_time: 0.1154229045, other_time: 2.6924591064
epoch time: 6.2829236984s, input_fired_time: 0.1088763103, output_fired_time: 0.0000000000, propagate_forward_time: 5.6945056915, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4795417786
validation[          , genome  1560] predictions:    9381/  10000 (93.81%), best:    9369/10000 (93.69%), error:      2119.20215, best error:      2079.68213 on epoch:    30, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 75.3674545288s, input_fired_time: 0.8665272593, output_fired_time: 0.8130854964, propagate_forward_time: 28.2605762482, propagate_backward_time: 42.7189178467, weight_update_time: 0.1139647365, other_time: 2.7083511353
epoch time: 6.3460264206s, input_fired_time: 0.1110215858, output_fired_time: 0.0000000000, propagate_forward_time: 5.7487034798, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4863014221
validation[          , genome  1560] predictions:    9309/  10000 (93.09%), best:    9369/10000 (93.69%), error:      2293.50708, best error:      2079.68213 on epoch:    30, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 75.7456588745s, input_fired_time: 0.8612926602, output_fired_time: 0.8131292462, propagate_forward_time: 28.4946308136, propagate_backward_time: 42.9403762817, weight_update_time: 0.1123191491, other_time: 2.6362380981
epoch time: 6.3428316116s, input_fired_time: 0.1066813916, output_fired_time: 0.0000000000, propagate_forward_time: 5.7705578804, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4655923843
validation[          , genome  1560] predictions:    9411/  10000 (94.11%), best:    9411/10000 (94.11%), error:      2011.20557, best error:      2011.20557 on epoch:    36, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 75.0514831543s, input_fired_time: 0.8683093786, output_fired_time: 0.8146399260, propagate_forward_time: 28.1714649200, propagate_backward_time: 42.4529075623, weight_update_time: 0.1148141548, other_time: 2.7441673279
epoch time: 6.4053258896s, input_fired_time: 0.1129866391, output_fired_time: 0.0000000000, propagate_forward_time: 5.7988481522, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4934911728
validation[          , genome  1560] predictions:    9379/  10000 (93.79%), best:    9411/10000 (94.11%), error:      2074.27515, best error:      2011.20557 on epoch:    36, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 75.7367935181s, input_fired_time: 0.8642153740, output_fired_time: 0.8147700429, propagate_forward_time: 28.4803104401, propagate_backward_time: 42.9059638977, weight_update_time: 0.1137742400, other_time: 2.6715354919
epoch time: 6.3058314323s, input_fired_time: 0.1100902632, output_fired_time: 0.0000000000, propagate_forward_time: 5.7175111771, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4782299995
validation[          , genome  1560] predictions:    9382/  10000 (93.82%), best:    9411/10000 (94.11%), error:      2059.60913, best error:      2011.20557 on epoch:    36, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 76.2086334229s, input_fired_time: 0.8682464957, output_fired_time: 0.8219554424, propagate_forward_time: 28.6585178375, propagate_backward_time: 43.1957397461, weight_update_time: 0.1137583554, other_time: 2.6641769409
epoch time: 6.3292446136s, input_fired_time: 0.1072983071, output_fired_time: 0.0000000000, propagate_forward_time: 5.7526168823, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4693293571
validation[          , genome  1560] predictions:    9372/  10000 (93.72%), best:    9411/10000 (94.11%), error:      2072.50586, best error:      2011.20557 on epoch:    36, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 75.9049911499s, input_fired_time: 0.8648800254, output_fired_time: 0.8183100820, propagate_forward_time: 28.4797306061, propagate_backward_time: 43.0934104919, weight_update_time: 0.1135525554, other_time: 2.6486549377
epoch time: 6.3466110229s, input_fired_time: 0.1059702039, output_fired_time: 0.0000000000, propagate_forward_time: 5.7778544426, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4627861977
validation[          , genome  1560] predictions:    9406/  10000 (94.06%), best:    9411/10000 (94.11%), error:      2011.68408, best error:      2011.20557 on epoch:    36, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 75.8366546631s, input_fired_time: 0.8708186746, output_fired_time: 0.8170945644, propagate_forward_time: 28.4817295074, propagate_backward_time: 42.9672393799, weight_update_time: 0.1145622209, other_time: 2.6997756958
epoch time: 6.2698569298s, input_fired_time: 0.1060387939, output_fired_time: 0.0000000000, propagate_forward_time: 5.7097110748, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4541072845
validation[          , genome  1560] predictions:    9391/  10000 (93.91%), best:    9411/10000 (94.11%), error:      2069.00854, best error:      2011.20557 on epoch:    36, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 76.0949554443s, input_fired_time: 0.8753516674, output_fired_time: 0.8210633993, propagate_forward_time: 28.5416393280, propagate_backward_time: 43.1461219788, weight_update_time: 0.1162594557, other_time: 2.7107810974
epoch time: 6.3653411865s, input_fired_time: 0.1079301313, output_fired_time: 0.0000000000, propagate_forward_time: 5.7822260857, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4751849174
validation[          , genome  1560] predictions:    9409/  10000 (94.09%), best:    9411/10000 (94.11%), error:      2016.15784, best error:      2011.20557 on epoch:    36, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 73.9715957642s, input_fired_time: 0.8575214148, output_fired_time: 0.8037796021, propagate_forward_time: 27.7187519073, propagate_backward_time: 41.8945922852, weight_update_time: 0.1140563637, other_time: 2.6969528198
epoch time: 6.3106837273s, input_fired_time: 0.1082915962, output_fired_time: 0.0000000000, propagate_forward_time: 5.7186813354, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4837107658
validation[          , genome  1560] predictions:    9352/  10000 (93.52%), best:    9411/10000 (94.11%), error:      2171.90967, best error:      2011.20557 on epoch:    36, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 76.1152801514s, input_fired_time: 0.8691257238, output_fired_time: 0.8191549778, propagate_forward_time: 28.5974254608, propagate_backward_time: 43.1606445313, weight_update_time: 0.1146430820, other_time: 2.6689300537
epoch time: 6.3054227829s, input_fired_time: 0.1078047007, output_fired_time: 0.0000000000, propagate_forward_time: 5.7304649353, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4671530724
validation[          , genome  1560] predictions:    9341/  10000 (93.41%), best:    9411/10000 (94.11%), error:      2273.14087, best error:      2011.20557 on epoch:    36, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 75.2769470215s, input_fired_time: 0.8686299324, output_fired_time: 0.8167672157, propagate_forward_time: 28.3065814972, propagate_backward_time: 42.5932006836, weight_update_time: 0.1144705787, other_time: 2.6917724609
epoch time: 6.2143464088s, input_fired_time: 0.1042713597, output_fired_time: 0.0000000000, propagate_forward_time: 5.6485829353, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4614920616
validation[          , genome  1560] predictions:    9390/  10000 (93.90%), best:    9411/10000 (94.11%), error:      2034.52734, best error:      2011.20557 on epoch:    36, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 76.1292419434s, input_fired_time: 0.8776485920, output_fired_time: 0.8237639666, propagate_forward_time: 28.5799102783, propagate_backward_time: 43.1209869385, weight_update_time: 0.1153164506, other_time: 2.7269363403
epoch time: 6.3283238411s, input_fired_time: 0.1110810190, output_fired_time: 0.0000000000, propagate_forward_time: 5.7329812050, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4842615128
validation[          , genome  1560] predictions:    9407/  10000 (94.07%), best:    9407/10000 (94.07%), error:      2006.35840, best error:      2006.35840 on epoch:    46, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 73.2613754272s, input_fired_time: 0.8652083278, output_fired_time: 0.7956293821, propagate_forward_time: 27.4479446411, propagate_backward_time: 41.4458084106, weight_update_time: 0.1125157923, other_time: 2.7067794800
epoch time: 6.3488268852s, input_fired_time: 0.1081108600, output_fired_time: 0.0000000000, propagate_forward_time: 5.7653636932, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4753522873
validation[          , genome  1560] predictions:    9399/  10000 (93.99%), best:    9407/10000 (94.07%), error:      2025.23718, best error:      2006.35840 on epoch:    46, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 76.3700027466s, input_fired_time: 0.8836365938, output_fired_time: 0.8286167979, propagate_forward_time: 28.7204856873, propagate_backward_time: 43.1900901794, weight_update_time: 0.1161653250, other_time: 2.7471771240
epoch time: 6.3577280045s, input_fired_time: 0.1099945009, output_fired_time: 0.0000000000, propagate_forward_time: 5.7630658150, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4846677780
validation[          , genome  1560] predictions:    9382/  10000 (93.82%), best:    9407/10000 (94.07%), error:      2022.97217, best error:      2006.35840 on epoch:    46, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 76.3088607788s, input_fired_time: 0.8784225583, output_fired_time: 0.8263721466, propagate_forward_time: 28.6644096375, propagate_backward_time: 43.2504959106, weight_update_time: 0.1158893332, other_time: 2.6891593933
epoch time: 6.1991419792s, input_fired_time: 0.1055918410, output_fired_time: 0.0000000000, propagate_forward_time: 5.6265072823, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4670429230
validation[          , genome  1560] predictions:    9402/  10000 (94.02%), best:    9402/10000 (94.02%), error:      2003.27197, best error:      2003.27197 on epoch:    49, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 76.3736038208s, input_fired_time: 0.8761426806, output_fired_time: 0.8270125389, propagate_forward_time: 28.6864719391, propagate_backward_time: 43.2906646729, weight_update_time: 0.1155544445, other_time: 2.6933135986
epoch time: 6.3650197983s, input_fired_time: 0.1126200482, output_fired_time: 0.0000000000, propagate_forward_time: 5.7756590843, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4767408371
validation[          , genome  1560] predictions:    9375/  10000 (93.75%), best:    9402/10000 (94.02%), error:      2047.27551, best error:      2003.27197 on epoch:    49, 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_44_1560.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_1560_0_r934976487_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: 49
read number_validation_images: 10000
read best_validation_predictions: 9402
read best_validation_error: 2003.27
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: 1560
read normal distribution: '1 -0.605651319026947 -1.01085269451141'
generator_str: '1420282057'
read generator: 1420282057
read generated_by_map:
1 crossover 1
reading 20 nodes.
reading 31 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: 75.3499069213867s, input_fired_time: 0.871804893016815, output_fired_time: 0.81343686580658, propagate_forward_time: 28.2565746307373, propagate_backward_time: 42.7267303466797, weight_update_time: 0.1135463565588, other_time: 2.68135833740234
epoch time: 6.31256198883057s, input_fired_time: 0.108981296420097, output_fired_time: 0, propagate_forward_time: 5.72848129272461, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.475099563598633
validation[          , genome  1560] predictions:    9377/  10000 (93.77%), best:    9402/10000 (94.02%), error:      2060.68188, best error:      2003.27197 on epoch:    49, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 74.4178314209s, input_fired_time: 0.8671452403, output_fired_time: 0.8073640466, propagate_forward_time: 27.8724842072, propagate_backward_time: 42.1382904053, weight_update_time: 0.1144075617, other_time: 2.7325515747
epoch time: 6.1382288933s, input_fired_time: 0.1068805456, output_fired_time: 0.0000000000, propagate_forward_time: 5.5567255020, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4746227264
validation[          , genome  1560] predictions:    9380/  10000 (93.80%), best:    9402/10000 (94.02%), error:      2019.28320, best error:      2003.27197 on epoch:    49, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 74.3676452637s, input_fired_time: 0.8633349538, output_fired_time: 0.8080998659, propagate_forward_time: 27.9524345398, propagate_backward_time: 42.0709609985, weight_update_time: 0.1129498705, other_time: 2.6728172302
epoch time: 6.3179898262s, input_fired_time: 0.1067965627, output_fired_time: 0.0000000000, propagate_forward_time: 5.7487564087, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4624366760
validation[          , genome  1560] predictions:    9412/  10000 (94.12%), best:    9412/10000 (94.12%), error:      1979.82874, best error:      1979.82874 on epoch:    53, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 75.7096862793s, input_fired_time: 0.8784608841, output_fired_time: 0.8258724809, propagate_forward_time: 28.4248790741, propagate_backward_time: 42.8460350037, weight_update_time: 0.1156526953, other_time: 2.7344322205
epoch time: 6.3178381920s, input_fired_time: 0.1119539365, output_fired_time: 0.0000000000, propagate_forward_time: 5.7229385376, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4829459190
validation[          , genome  1560] predictions:    9396/  10000 (93.96%), best:    9412/10000 (94.12%), error:      2055.30884, best error:      1979.82874 on epoch:    53, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 76.2101669312s, input_fired_time: 0.8870156407, output_fired_time: 0.8297895193, propagate_forward_time: 28.6185321808, propagate_backward_time: 43.0912284851, weight_update_time: 0.1176137105, other_time: 2.7836036682
epoch time: 6.3059239388s, input_fired_time: 0.1107056737, output_fired_time: 0.0000000000, propagate_forward_time: 5.7111363411, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4840817451
validation[          , genome  1560] predictions:    9400/  10000 (94.00%), best:    9412/10000 (94.12%), error:      1993.32153, best error:      1979.82874 on epoch:    53, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 76.0028381348s, input_fired_time: 0.8768028021, output_fired_time: 0.8269140720, propagate_forward_time: 28.5983791351, propagate_backward_time: 43.0345344543, weight_update_time: 0.1141315699, other_time: 2.6662101746
epoch time: 6.2003345490s, input_fired_time: 0.1106007323, output_fired_time: 0.0000000000, propagate_forward_time: 5.5918350220, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4978985786
validation[          , genome  1560] predictions:    9397/  10000 (93.97%), best:    9412/10000 (94.12%), error:      2021.14905, best error:      1979.82874 on epoch:    53, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 76.3242950439s, input_fired_time: 0.8913255334, output_fired_time: 0.8331378102, propagate_forward_time: 28.6931171417, propagate_backward_time: 43.1303825378, weight_update_time: 0.1170515344, other_time: 2.7763328552
epoch time: 6.2628989220s, input_fired_time: 0.1072435379, output_fired_time: 0.0000000000, propagate_forward_time: 5.6731777191, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4824776649
validation[          , genome  1560] predictions:    9364/  10000 (93.64%), best:    9412/10000 (94.12%), error:      2073.68799, best error:      1979.82874 on epoch:    53, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 76.0983810425s, input_fired_time: 0.8917289972, output_fired_time: 0.8280608654, propagate_forward_time: 28.5785884857, propagate_backward_time: 43.0417060852, weight_update_time: 0.1162327901, other_time: 2.7582893372
epoch time: 6.2858643532s, input_fired_time: 0.1083049402, output_fired_time: 0.0000000000, propagate_forward_time: 5.7091360092, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4684233665
validation[          , genome  1560] predictions:    9419/  10000 (94.19%), best:    9412/10000 (94.12%), error:      1982.98950, best error:      1979.82874 on epoch:    53, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 76.2866821289s, input_fired_time: 0.8808143139, output_fired_time: 0.8263094425, propagate_forward_time: 28.6675262451, propagate_backward_time: 43.2013359070, weight_update_time: 0.1152881160, other_time: 2.7106971741
epoch time: 6.3252687454s, input_fired_time: 0.1077519730, output_fired_time: 0.0000000000, propagate_forward_time: 5.7538743019, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4636425972
validation[          , genome  1560] predictions:    9397/  10000 (93.97%), best:    9412/10000 (94.12%), error:      2043.53613, best error:      1979.82874 on epoch:    53, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 76.2311782837s, input_fired_time: 0.8925749063, output_fired_time: 0.8222531676, propagate_forward_time: 28.5920600891, propagate_backward_time: 43.1755981445, weight_update_time: 0.1165292189, other_time: 2.7486915588
epoch time: 6.1767902374s, input_fired_time: 0.1114189252, output_fired_time: 0.0000000000, propagate_forward_time: 5.5877151489, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4776563644
validation[          , genome  1560] predictions:    9385/  10000 (93.85%), best:    9412/10000 (94.12%), error:      2079.38574, best error:      1979.82874 on epoch:    53, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 75.5800933838s, input_fired_time: 0.8838492632, output_fired_time: 0.8254482150, propagate_forward_time: 28.2717208862, propagate_backward_time: 42.8157081604, weight_update_time: 0.1162501946, other_time: 2.7833671570
epoch time: 6.3547763824s, input_fired_time: 0.1130511761, output_fired_time: 0.0000000000, propagate_forward_time: 5.7442460060, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4974789619
validation[          , genome  1560] predictions:    9407/  10000 (94.07%), best:    9407/10000 (94.07%), error:      1978.62805, best error:      1978.62805 on epoch:    61, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 75.6100769043s, input_fired_time: 0.8809769750, output_fired_time: 0.8236488104, propagate_forward_time: 28.3957862854, propagate_backward_time: 42.7657890320, weight_update_time: 0.1158606037, other_time: 2.7438812256
epoch time: 6.3304495811s, input_fired_time: 0.1076321751, output_fired_time: 0.0000000000, propagate_forward_time: 5.7654356956, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4573817253
validation[          , genome  1560] predictions:    9400/  10000 (94.00%), best:    9407/10000 (94.07%), error:      1984.37842, best error:      1978.62805 on epoch:    61, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 75.5637207031s, input_fired_time: 0.8821309209, output_fired_time: 0.8238810301, propagate_forward_time: 28.3283538818, propagate_backward_time: 42.7911071777, weight_update_time: 0.1159056872, other_time: 2.7382431030
epoch time: 5.9315009117s, input_fired_time: 0.1072353497, output_fired_time: 0.0000000000, propagate_forward_time: 5.3557825089, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4684829712
validation[          , genome  1560] predictions:    9436/  10000 (94.36%), best:    9436/10000 (94.36%), error:      1942.92639, best error:      1942.92639 on epoch:    63, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 76.1962432861s, input_fired_time: 0.8868488073, output_fired_time: 0.8301106691, propagate_forward_time: 28.6142234802, propagate_backward_time: 43.0958747864, weight_update_time: 0.1168769151, other_time: 2.7691879272
epoch time: 6.1806645393s, input_fired_time: 0.1085726917, output_fired_time: 0.0000000000, propagate_forward_time: 5.5904350281, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4816570282
validation[          , genome  1560] predictions:    9396/  10000 (93.96%), best:    9436/10000 (94.36%), error:      2017.11975, best error:      1942.92639 on epoch:    63, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 76.0933380127s, input_fired_time: 0.8880224824, output_fired_time: 0.8297373652, propagate_forward_time: 28.5350551605, propagate_backward_time: 43.0697708130, weight_update_time: 0.1163745970, other_time: 2.7707519531
epoch time: 6.0605611801s, input_fired_time: 0.1097605303, output_fired_time: 0.0000000000, propagate_forward_time: 5.4676370621, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4831633568
validation[          , genome  1560] predictions:    9367/  10000 (93.67%), best:    9436/10000 (94.36%), error:      2104.17627, best error:      1942.92639 on epoch:    63, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 76.0689392090s, input_fired_time: 0.8893282413, output_fired_time: 0.8263005614, propagate_forward_time: 28.5868358612, propagate_backward_time: 43.0411338806, weight_update_time: 0.1166664585, other_time: 2.7253379822
epoch time: 6.3667068481s, input_fired_time: 0.1142569035, output_fired_time: 0.0000000000, propagate_forward_time: 5.7588953972, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4935545921
validation[          , genome  1560] predictions:    9409/  10000 (94.09%), best:    9436/10000 (94.36%), error:      1955.06470, best error:      1942.92639 on epoch:    63, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 75.6043014526s, input_fired_time: 0.8770291805, output_fired_time: 0.8167846203, propagate_forward_time: 28.3352890015, propagate_backward_time: 42.8678817749, weight_update_time: 0.1148324907, other_time: 2.7073135376
epoch time: 6.3065538406s, input_fired_time: 0.1107471660, output_fired_time: 0.0000000000, propagate_forward_time: 5.7082152367, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4875912666
validation[          , genome  1560] predictions:    9425/  10000 (94.25%), best:    9436/10000 (94.36%), error:      1980.39551, best error:      1942.92639 on epoch:    63, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 75.9756546021s, input_fired_time: 0.8818163276, output_fired_time: 0.8242701292, propagate_forward_time: 28.4827690125, propagate_backward_time: 43.0811614990, weight_update_time: 0.1150342226, other_time: 2.7056388855
epoch time: 6.2679271698s, input_fired_time: 0.1084462404, output_fired_time: 0.0000000000, propagate_forward_time: 5.6814188957, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4780621529
validation[          , genome  1560] predictions:    9413/  10000 (94.13%), best:    9436/10000 (94.36%), error:      1947.10181, best error:      1942.92639 on epoch:    63, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 75.5702896118s, input_fired_time: 0.8810817003, output_fired_time: 0.8227728009, propagate_forward_time: 28.3081474304, propagate_backward_time: 42.8426818848, weight_update_time: 0.1151565835, other_time: 2.7156105042
epoch time: 6.3615560532s, input_fired_time: 0.1133256033, output_fired_time: 0.0000000000, propagate_forward_time: 5.7641625404, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4840679169
validation[          , genome  1560] predictions:    9419/  10000 (94.19%), best:    9436/10000 (94.36%), error:      1953.25659, best error:      1942.92639 on epoch:    63, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 75.7629928589s, input_fired_time: 0.8850582838, output_fired_time: 0.8251391649, propagate_forward_time: 28.3817920685, propagate_backward_time: 42.9084625244, weight_update_time: 0.1165328547, other_time: 2.7625427246
epoch time: 6.3655409813s, input_fired_time: 0.1106888056, output_fired_time: 0.0000000000, propagate_forward_time: 5.7680068016, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4868454933
validation[          , genome  1560] predictions:    9351/  10000 (93.51%), best:    9436/10000 (94.36%), error:      2119.97974, best error:      1942.92639 on epoch:    63, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 75.5210266113s, input_fired_time: 0.8861478567, output_fired_time: 0.8206398487, propagate_forward_time: 28.3123569489, propagate_backward_time: 42.7343101501, weight_update_time: 0.1165174246, other_time: 2.7675743103
epoch time: 6.2358870506s, input_fired_time: 0.1109151170, output_fired_time: 0.0000000000, propagate_forward_time: 5.6355228424, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4894490242
validation[          , genome  1560] predictions:    9409/  10000 (94.09%), best:    9436/10000 (94.36%), error:      1968.19263, best error:      1942.92639 on epoch:    63, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 76.1005783081s, input_fired_time: 0.8816714883, output_fired_time: 0.8238970637, propagate_forward_time: 28.6098194122, propagate_backward_time: 43.1072273254, weight_update_time: 0.1151181012, other_time: 2.6779670715
epoch time: 6.2320876122s, input_fired_time: 0.1081840992, output_fired_time: 0.0000000000, propagate_forward_time: 5.6504588127, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4734444618
validation[          , genome  1560] predictions:    9412/  10000 (94.12%), best:    9436/10000 (94.36%), error:      1961.85107, best error:      1942.92639 on epoch:    63, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 76.0174026489s, input_fired_time: 0.8795794249, output_fired_time: 0.8224740028, propagate_forward_time: 28.4252986908, propagate_backward_time: 43.1721076965, weight_update_time: 0.1148867607, other_time: 2.7179450989
epoch time: 6.3285007477s, input_fired_time: 0.1134244204, output_fired_time: 0.0000000000, propagate_forward_time: 5.7269139290, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4881625175
validation[          , genome  1560] predictions:    9411/  10000 (94.11%), best:    9436/10000 (94.36%), error:      1954.40503, best error:      1942.92639 on epoch:    63, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 75.7996063232s, input_fired_time: 0.8863815069, output_fired_time: 0.8210051656, propagate_forward_time: 28.4141960144, propagate_backward_time: 42.9347152710, weight_update_time: 0.1162885949, other_time: 2.7433052063
epoch time: 6.3390846252s, input_fired_time: 0.1096714437, output_fired_time: 0.0000000000, propagate_forward_time: 5.7585310936, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4708819389
validation[          , genome  1560] predictions:    9417/  10000 (94.17%), best:    9417/10000 (94.17%), error:      1936.52722, best error:      1936.52722 on epoch:    74, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 76.3512725830s, input_fired_time: 0.9062230587, output_fired_time: 0.8379008770, propagate_forward_time: 28.5821475983, propagate_backward_time: 43.1885108948, weight_update_time: 0.1174217388, other_time: 2.8364982605
epoch time: 6.2932052612s, input_fired_time: 0.1105828136, output_fired_time: 0.0000000000, propagate_forward_time: 5.6975927353, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4850296974
validation[          , genome  1560] predictions:    9402/  10000 (94.02%), best:    9417/10000 (94.17%), error:      2017.16772, best error:      1936.52722 on epoch:    74, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 75.8585815430s, input_fired_time: 0.8938964605, output_fired_time: 0.8292160034, propagate_forward_time: 28.4336624146, propagate_backward_time: 42.9348335266, weight_update_time: 0.1164488643, other_time: 2.7669715881
epoch time: 6.2990288734s, input_fired_time: 0.1074211895, output_fired_time: 0.0000000000, propagate_forward_time: 5.7352781296, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4563293457
validation[          , genome  1560] predictions:    9395/  10000 (93.95%), best:    9417/10000 (94.17%), error:      2036.52380, best error:      1936.52722 on epoch:    74, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 75.8551483154s, input_fired_time: 0.8850059509, output_fired_time: 0.8191957474, propagate_forward_time: 28.4587745667, propagate_backward_time: 42.9820556641, weight_update_time: 0.1154873446, other_time: 2.7101097107
epoch time: 6.3381261826s, input_fired_time: 0.1131494939, output_fired_time: 0.0000000000, propagate_forward_time: 5.7235465050, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5014300346
validation[          , genome  1560] predictions:    9418/  10000 (94.18%), best:    9417/10000 (94.17%), error:      1963.55505, best error:      1936.52722 on epoch:    74, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 76.0952987671s, input_fired_time: 0.8881415725, output_fired_time: 0.8222358227, propagate_forward_time: 28.5793819427, propagate_backward_time: 43.0736351013, weight_update_time: 0.1160464585, other_time: 2.7319068909
epoch time: 6.3611531258s, input_fired_time: 0.1145902425, output_fired_time: 0.0000000000, propagate_forward_time: 5.7577610016, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4888019562
validation[          , genome  1560] predictions:    9401/  10000 (94.01%), best:    9417/10000 (94.17%), error:      2013.72546, best error:      1936.52722 on epoch:    74, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 75.9489669800s, input_fired_time: 0.8814665079, output_fired_time: 0.8221359253, propagate_forward_time: 28.4986209869, propagate_backward_time: 43.0485153198, weight_update_time: 0.1149958000, other_time: 2.6982269287
epoch time: 6.1948361397s, input_fired_time: 0.1109059006, output_fired_time: 0.0000000000, propagate_forward_time: 5.5995135307, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4844164848
validation[          , genome  1560] predictions:    9413/  10000 (94.13%), best:    9417/10000 (94.17%), error:      2005.54919, best error:      1936.52722 on epoch:    74, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 75.3116455078s, input_fired_time: 0.9003049135, output_fired_time: 0.8217204809, propagate_forward_time: 28.1347999573, propagate_backward_time: 42.6313171387, weight_update_time: 0.1174150184, other_time: 2.8234977722
epoch time: 6.3135733604s, input_fired_time: 0.1100109294, output_fired_time: 0.0000000000, propagate_forward_time: 5.7286868095, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4748754501
validation[          , genome  1560] predictions:    9422/  10000 (94.22%), best:    9417/10000 (94.17%), error:      1998.96252, best error:      1936.52722 on epoch:    74, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 75.6819458008s, input_fired_time: 0.8864012361, output_fired_time: 0.8229708672, propagate_forward_time: 28.3763732910, propagate_backward_time: 42.8351478577, weight_update_time: 0.1172245964, other_time: 2.7610588074
epoch time: 6.3410921097s, input_fired_time: 0.1117993444, output_fired_time: 0.0000000000, propagate_forward_time: 5.7389130592, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4903798103
validation[          , genome  1560] predictions:    9393/  10000 (93.93%), best:    9417/10000 (94.17%), error:      2006.24915, best error:      1936.52722 on epoch:    74, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 75.5020751953s, input_fired_time: 0.8846371770, output_fired_time: 0.8250713348, propagate_forward_time: 28.2648601532, propagate_backward_time: 42.7846832275, weight_update_time: 0.1161728799, other_time: 2.7428207397
epoch time: 6.4070401192s, input_fired_time: 0.1141314805, output_fired_time: 0.0000000000, propagate_forward_time: 5.8067045212, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4862041473
validation[          , genome  1560] predictions:    9383/  10000 (93.83%), best:    9417/10000 (94.17%), error:      1988.85645, best error:      1936.52722 on epoch:    74, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 76.0427856445s, input_fired_time: 0.8926795721, output_fired_time: 0.8279214501, propagate_forward_time: 28.5838184357, propagate_backward_time: 43.0116348267, weight_update_time: 0.1156696081, other_time: 2.7267379761
epoch time: 6.3448033333s, input_fired_time: 0.1106565297, output_fired_time: 0.0000000000, propagate_forward_time: 5.7601370811, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4740095139
validation[          , genome  1560] predictions:    9377/  10000 (93.77%), best:    9417/10000 (94.17%), error:      2051.17090, best error:      1936.52722 on epoch:    74, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 73.2564849854s, input_fired_time: 0.8744712472, output_fired_time: 0.8031502962, propagate_forward_time: 27.3511199951, propagate_backward_time: 41.4685974121, weight_update_time: 0.1142687947, other_time: 2.7591400146
epoch time: 6.1738729477s, input_fired_time: 0.1104542986, output_fired_time: 0.0000000000, propagate_forward_time: 5.5822024345, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4812164307
validation[          , genome  1560] predictions:    9389/  10000 (93.89%), best:    9417/10000 (94.17%), error:      2028.87183, best error:      1936.52722 on epoch:    74, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 75.5636520386s, input_fired_time: 0.8913006783, output_fired_time: 0.8244029880, propagate_forward_time: 28.3573703766, propagate_backward_time: 42.7243995667, weight_update_time: 0.1167233139, other_time: 2.7661781311
epoch time: 6.0683183670s, input_fired_time: 0.1091205552, output_fired_time: 0.0000000000, propagate_forward_time: 5.4760065079, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4831914902
validation[          , genome  1560] predictions:    9421/  10000 (94.21%), best:    9417/10000 (94.17%), error:      1948.55872, best error:      1936.52722 on epoch:    74, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 75.9944076538s, input_fired_time: 0.8940116167, output_fired_time: 0.8310022354, propagate_forward_time: 28.5473365784, propagate_backward_time: 42.9529838562, weight_update_time: 0.1171979159, other_time: 2.7690734863
epoch time: 6.3106164932s, input_fired_time: 0.1078738198, output_fired_time: 0.0000000000, propagate_forward_time: 5.7451505661, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4575920105
validation[          , genome  1560] predictions:    9406/  10000 (94.06%), best:    9417/10000 (94.17%), error:      2004.92712, best error:      1936.52722 on epoch:    74, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 76.4266204834s, input_fired_time: 0.8906686306, output_fired_time: 0.8261595964, propagate_forward_time: 28.7269077301, propagate_backward_time: 43.2573814392, weight_update_time: 0.1161949188, other_time: 2.7255058289
epoch time: 6.3253135681s, input_fired_time: 0.1105162352, output_fired_time: 0.0000000000, propagate_forward_time: 5.7430825233, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4717149734
validation[          , genome  1560] predictions:    9404/  10000 (94.04%), best:    9417/10000 (94.17%), error:      2007.51160, best error:      1936.52722 on epoch:    74, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 75.4623413086s, input_fired_time: 0.8811546564, output_fired_time: 0.8168606758, propagate_forward_time: 28.2564182281, propagate_backward_time: 42.8038291931, weight_update_time: 0.1142902449, other_time: 2.7040748596
epoch time: 6.3334579468s, input_fired_time: 0.1091333404, output_fired_time: 0.0000000000, propagate_forward_time: 5.7599744797, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4643502235
validation[          , genome  1560] predictions:    9407/  10000 (94.07%), best:    9417/10000 (94.17%), error:      1974.76062, best error:      1936.52722 on epoch:    74, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 76.4502639771s, input_fired_time: 0.8931039572, output_fired_time: 0.8277295828, propagate_forward_time: 28.6675071716, propagate_backward_time: 43.3200874329, weight_update_time: 0.1159368455, other_time: 2.7418365479
epoch time: 6.3605165482s, input_fired_time: 0.1148815677, output_fired_time: 0.0000000000, propagate_forward_time: 5.7558546066, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4897804260
validation[          , genome  1560] predictions:    9423/  10000 (94.23%), best:    9417/10000 (94.17%), error:      1977.96960, best error:      1936.52722 on epoch:    74, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 75.9790496826s, input_fired_time: 0.8903663158, output_fired_time: 0.8240557909, propagate_forward_time: 28.5295162201, propagate_backward_time: 42.9618911743, weight_update_time: 0.1171907932, other_time: 2.7732162476
epoch time: 6.3149137497s, input_fired_time: 0.1110318154, output_fired_time: 0.0000000000, propagate_forward_time: 5.7283563614, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4755253792
validation[          , genome  1560] predictions:    9404/  10000 (94.04%), best:    9417/10000 (94.17%), error:      2005.71716, best error:      1936.52722 on epoch:    74, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 75.9426574707s, input_fired_time: 0.8978726268, output_fired_time: 0.8267049789, propagate_forward_time: 28.4520225525, propagate_backward_time: 43.0188293457, weight_update_time: 0.1157300547, other_time: 2.7472267151
epoch time: 6.3704404831s, input_fired_time: 0.1122406870, output_fired_time: 0.0000000000, propagate_forward_time: 5.7783427238, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4798569679
validation[          , genome  1560] predictions:    9406/  10000 (94.06%), best:    9417/10000 (94.17%), error:      1990.93237, best error:      1936.52722 on epoch:    74, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 75.4931411743s, input_fired_time: 0.8829604387, output_fired_time: 0.8174048066, propagate_forward_time: 28.2974109650, propagate_backward_time: 42.7912902832, weight_update_time: 0.1147423983, other_time: 2.7040786743
epoch time: 6.3234233856s, input_fired_time: 0.1095782593, output_fired_time: 0.0000000000, propagate_forward_time: 5.7520289421, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4618163109
validation[          , genome  1560] predictions:    9418/  10000 (94.18%), best:    9417/10000 (94.17%), error:      1949.21069, best error:      1936.52722 on epoch:    74, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 76.0216522217s, input_fired_time: 0.9096089602, output_fired_time: 0.8360424042, propagate_forward_time: 28.4464607239, propagate_backward_time: 43.0153121948, weight_update_time: 0.1175967902, other_time: 2.8142280579
epoch time: 6.2835850716s, input_fired_time: 0.1133260950, output_fired_time: 0.0000000000, propagate_forward_time: 5.6796040535, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4906549454
validation[          , genome  1560] predictions:    9422/  10000 (94.22%), best:    9417/10000 (94.17%), error:      1939.39319, best error:      1936.52722 on epoch:    74, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 76.0707931519s, input_fired_time: 0.9055563211, output_fired_time: 0.8354682922, propagate_forward_time: 28.4598464966, propagate_backward_time: 43.0573883057, weight_update_time: 0.1170980707, other_time: 2.8125381470
epoch time: 6.2732663155s, input_fired_time: 0.1146700829, output_fired_time: 0.0000000000, propagate_forward_time: 5.6696043015, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4889917374
validation[          , genome  1560] predictions:    9413/  10000 (94.13%), best:    9417/10000 (94.17%), error:      1991.03186, best error:      1936.52722 on epoch:    74, 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_1512568488_44_1560.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_1560_0_r934976487_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: 74
read number_validation_images: 10000
read best_validation_predictions: 9417
read best_validation_error: 1936.53
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: 1560
read normal distribution: '1 -0.605651319026947 -1.01085269451141'
generator_str: '1506797159'
read generator: 1506797159
read generated_by_map:
1 crossover 1
reading 20 nodes.
reading 31 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: 76.2419891357422s, input_fired_time: 0.891056001186371, output_fired_time: 0.82645183801651, propagate_forward_time: 28.5918941497803, propagate_backward_time: 43.1783752441406, weight_update_time: 0.116274327039719, other_time: 2.75421142578125
epoch time: 6.14289522171021s, input_fired_time: 0.109088264405727, output_fired_time: 0, propagate_forward_time: 5.56249904632568, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.471307754516602
validation[          , genome  1560] predictions:    9413/  10000 (94.13%), best:    9417/10000 (94.17%), error:      1960.39587, best error:      1936.52722 on epoch:    74, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 75.5634841919s, input_fired_time: 0.8843096495, output_fired_time: 0.8216637373, propagate_forward_time: 28.3134155273, propagate_backward_time: 42.8297996521, weight_update_time: 0.1146252081, other_time: 2.7142982483
epoch time: 6.2121467590s, input_fired_time: 0.1092859134, output_fired_time: 0.0000000000, propagate_forward_time: 5.6353688240, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4674921036
validation[          , genome  1560] predictions:    9415/  10000 (94.15%), best:    9417/10000 (94.17%), error:      1991.42798, best error:      1936.52722 on epoch:    74, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 73.6504592896s, input_fired_time: 0.8668538928, output_fired_time: 0.7995377183, propagate_forward_time: 27.4985580444, propagate_backward_time: 41.7973480225, weight_update_time: 0.1121389270, other_time: 2.6881637573
epoch time: 6.3394246101s, input_fired_time: 0.1104179397, output_fired_time: 0.0000000000, propagate_forward_time: 5.7508225441, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4781842232
validation[          , genome  1560] predictions:    9423/  10000 (94.23%), best:    9417/10000 (94.17%), error:      1977.60754, best error:      1936.52722 on epoch:    74, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 76.2282485962s, input_fired_time: 0.8901859522, output_fired_time: 0.8255869150, propagate_forward_time: 28.6318626404, propagate_backward_time: 43.1679458618, weight_update_time: 0.1159122959, other_time: 2.7126731873
epoch time: 6.3558440208s, input_fired_time: 0.1094820201, output_fired_time: 0.0000000000, propagate_forward_time: 5.7791891098, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4671730995
validation[          , genome  1560] predictions:    9400/  10000 (94.00%), best:    9417/10000 (94.17%), error:      2012.18750, best error:      1936.52722 on epoch:    74, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 74.8605880737s, input_fired_time: 0.8813107014, output_fired_time: 0.8130864501, propagate_forward_time: 28.0080127716, propagate_backward_time: 42.3819961548, weight_update_time: 0.1174253002, other_time: 2.7761840820
epoch time: 6.1900305748s, input_fired_time: 0.1069511771, output_fired_time: 0.0000000000, propagate_forward_time: 5.6260061264, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4570732117
validation[          , genome  1560] predictions:    9428/  10000 (94.28%), best:    9417/10000 (94.17%), error:      1959.88904, best error:      1936.52722 on epoch:    74, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 75.5578231812s, input_fired_time: 0.8842191100, output_fired_time: 0.8176330924, propagate_forward_time: 28.4046669006, propagate_backward_time: 42.7465057373, weight_update_time: 0.1146856025, other_time: 2.7047996521
epoch time: 6.3064894676s, input_fired_time: 0.1086807251, output_fired_time: 0.0000000000, propagate_forward_time: 5.7309045792, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4669041634
validation[          , genome  1560] predictions:    9417/  10000 (94.17%), best:    9417/10000 (94.17%), error:      1972.07178, best error:      1936.52722 on epoch:    74, 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: 31.6203155518s, input_fired_time: 0.5514336824, output_fired_time: 0.0000000000, propagate_forward_time: 28.5803833008, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4884986877
best training[          , genome  1560] predictions:   47852/  50000 (95.70%), best:    9417/10000 (94.17%), error:      7829.83789, best error:      1936.52722 on epoch:    74, 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: 6.2391748428s, input_fired_time: 0.1088839918, output_fired_time: 0.0000000000, propagate_forward_time: 5.6523618698, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4779291153
   testing[          , genome  1560] predictions:    9491/  10000 (94.91%), best:    9417/10000 (94.17%), error:      1794.91003, best error:      1936.52722 on epoch:    74, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
07:25:53 (4848): called boinc_finish(0)

</stderr_txt>
]]>