Nameexact_genome_1542031203_185_5612_0
Workunit4081774
Created12 Nov 2018, 19:30:02 UTC
Sent12 Nov 2018, 19:33:57 UTC
Report deadline11 Feb 2019, 16:27:10 UTC
Received24 Nov 2018, 13:23:03 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID23692
Run time1 days 14 hours 20 min 19 sec
CPU time1 days 13 hours 16 min 6 sec
Validate stateValid
Credit22,717.58
Device peak FLOPS4.15 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size525.39 MB
Peak swap size545.18 MB
Peak disk usage10.83 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
ed_time: 1.0803848505, output_fired_time: 0.0000000000, propagate_forward_time: 94.3201293945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0075683594
validation[          , genome  5612] predictions:    5703/  10000 (57.03%), best:    5725/10000 (57.25%), error:     13339.93262, best error:     13132.18359 on epoch:    24, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 1222.1452636719s, input_fired_time: 8.5933189392, output_fired_time: 8.2541093826, propagate_forward_time: 467.5155029297, propagate_backward_time: 726.3129882813, weight_update_time: 1.1152302027, other_time: 11.4693603516
epoch time: 96.4919281006s, input_fired_time: 1.0500566959, output_fired_time: 0.0000000000, propagate_forward_time: 93.4714202881, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9704513550
validation[          , genome  5612] predictions:    5522/  10000 (55.22%), best:    5725/10000 (57.25%), error:     13823.93066, best error:     13132.18359 on epoch:    24, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 1219.8615722656s, input_fired_time: 8.5103168488, output_fired_time: 8.2759017944, propagate_forward_time: 467.3972778320, propagate_backward_time: 724.2811279297, weight_update_time: 1.1212266684, other_time: 11.3969116211
epoch time: 96.1619033813s, input_fired_time: 1.0743064880, output_fired_time: 0.0000000000, propagate_forward_time: 93.1041641235, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9834365845
validation[          , genome  5612] predictions:    5704/  10000 (57.04%), best:    5725/10000 (57.25%), error:     13611.98047, best error:     13132.18359 on epoch:    24, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 1222.6723632813s, input_fired_time: 8.5362358093, output_fired_time: 8.2958145142, propagate_forward_time: 467.1510314941, propagate_backward_time: 727.3400268555, weight_update_time: 1.1355780363, other_time: 11.3493041992
epoch time: 96.7945327759s, input_fired_time: 1.0765701532, output_fired_time: 0.0000000000, propagate_forward_time: 93.7361907959, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9817733765
validation[          , genome  5612] predictions:    5708/  10000 (57.08%), best:    5708/10000 (57.08%), error:     13096.53320, best error:     13096.53320 on epoch:    31, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1220.6812744141s, input_fired_time: 8.5257520676, output_fired_time: 8.2321891785, propagate_forward_time: 466.8919677734, propagate_backward_time: 725.6896972656, weight_update_time: 1.1128211021, other_time: 11.3416748047
epoch time: 96.3592224121s, input_fired_time: 1.0688601732, output_fired_time: 0.0000000000, propagate_forward_time: 93.3218841553, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9684753418
validation[          , genome  5612] predictions:    5662/  10000 (56.62%), best:    5708/10000 (57.08%), error:     13451.48047, best error:     13096.53320 on epoch:    31, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

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/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_185_5612.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_185_5612_0_r57023066_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: 0.899827
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00230032
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 9.20129e-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: 33
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 31
read number_validation_images: 10000
read best_validation_predictions: 5708
read best_validation_error: 13096.5
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: 5612
read normal distribution: '1 0 0'
generator_str: '1906743860'
read generator: 1906743860
read generated_by_map:
1 crossover 1
reading 85 nodes.
reading 353 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
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: 3x32x32 = 3072
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: 3
width: 32
height: 32
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: 3x32x32 = 3072
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
loaded images
starting backpropagation!
epoch time: 1226.5322265625s, input_fired_time: 8.55053424835205, output_fired_time: 8.2737979888916, propagate_forward_time: 466.76025390625, propagate_backward_time: 731.524719238281, weight_update_time: 1.10648572444916, other_time: 11.4229125976563
epoch time: 96.0232238769531s, input_fired_time: 1.06841564178467, output_fired_time: 0, propagate_forward_time: 92.956428527832, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.99838256835938
validation[          , genome  5612] predictions:    5815/  10000 (58.15%), best:    5815/10000 (58.15%), error:     12941.69336, best error:     12941.69336 on epoch:    33, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1230.1040039063s, input_fired_time: 8.6353092194, output_fired_time: 8.2368030548, propagate_forward_time: 467.8502502441, propagate_backward_time: 733.9487915039, weight_update_time: 1.1021003723, other_time: 11.4329223633
epoch time: 96.9670791626s, input_fired_time: 1.0809859037, output_fired_time: 0.0000000000, propagate_forward_time: 93.9187622070, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9673309326
validation[          , genome  5612] predictions:    5791/  10000 (57.91%), best:    5791/10000 (57.91%), error:     12876.16504, best error:     12876.16504 on epoch:    34, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1221.4467773438s, input_fired_time: 8.4447708130, output_fired_time: 8.1496248245, propagate_forward_time: 463.4059753418, propagate_backward_time: 730.4335937500, weight_update_time: 1.1092541218, other_time: 11.0126953125
epoch time: 95.4842300415s, input_fired_time: 1.0627614260, output_fired_time: 0.0000000000, propagate_forward_time: 92.5315551758, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8899154663
validation[          , genome  5612] predictions:    5723/  10000 (57.23%), best:    5791/10000 (57.91%), error:     13247.89355, best error:     12876.16504 on epoch:    34, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1214.6463623047s, input_fired_time: 8.4198389053, output_fired_time: 8.0605297089, propagate_forward_time: 460.9867553711, propagate_backward_time: 726.2222900391, weight_update_time: 1.0909577608, other_time: 10.9569702148
epoch time: 94.6902618408s, input_fired_time: 1.0457303524, output_fired_time: 0.0000000000, propagate_forward_time: 91.7426300049, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9019012451
validation[          , genome  5612] predictions:    5769/  10000 (57.69%), best:    5791/10000 (57.91%), error:     12920.04492, best error:     12876.16504 on epoch:    34, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1234.6948242188s, input_fired_time: 8.5753126144, output_fired_time: 8.2815742493, propagate_forward_time: 470.4917602539, propagate_backward_time: 736.0804443359, weight_update_time: 1.1532565355, other_time: 11.2656860352
epoch time: 95.2360687256s, input_fired_time: 1.0690475702, output_fired_time: 0.0000000000, propagate_forward_time: 92.2394866943, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9275360107
validation[          , genome  5612] predictions:    5647/  10000 (56.47%), best:    5791/10000 (57.91%), error:     13366.75977, best error:     12876.16504 on epoch:    34, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1223.8500976563s, input_fired_time: 8.6512050629, output_fired_time: 8.1739034653, propagate_forward_time: 467.0247497559, propagate_backward_time: 728.7598876953, weight_update_time: 1.1017554998, other_time: 11.2402343750
epoch time: 96.1150894165s, input_fired_time: 1.0734863281, output_fired_time: 0.0000000000, propagate_forward_time: 93.0524826050, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9891204834
validation[          , genome  5612] predictions:    5765/  10000 (57.65%), best:    5791/10000 (57.91%), error:     13117.74805, best error:     12876.16504 on epoch:    34, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1226.1773681641s, input_fired_time: 8.6053953171, output_fired_time: 8.2875852585, propagate_forward_time: 469.1833496094, propagate_backward_time: 728.6473999023, weight_update_time: 1.1076229811, other_time: 11.4536743164
epoch time: 96.8354721069s, input_fired_time: 1.0642331839, output_fired_time: 0.0000000000, propagate_forward_time: 93.7566757202, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0145645142
validation[          , genome  5612] predictions:    5904/  10000 (59.04%), best:    5791/10000 (57.91%), error:     12960.68652, best error:     12876.16504 on epoch:    34, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1221.0418701172s, input_fired_time: 8.6850471497, output_fired_time: 8.2895555496, propagate_forward_time: 468.0570068359, propagate_backward_time: 724.3837890625, weight_update_time: 1.1300020218, other_time: 11.6264648438
epoch time: 98.9007263184s, input_fired_time: 1.1306983232, output_fired_time: 0.0000000000, propagate_forward_time: 95.6879882813, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0820388794
validation[          , genome  5612] predictions:    5962/  10000 (59.62%), best:    5962/10000 (59.62%), error:     12499.29102, best error:     12499.29102 on epoch:    40, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1240.3126220703s, input_fired_time: 8.7753896713, output_fired_time: 8.4715270996, propagate_forward_time: 475.9093627930, propagate_backward_time: 735.2775878906, weight_update_time: 1.1212660074, other_time: 11.8787231445
epoch time: 95.4571609497s, input_fired_time: 1.0723006725, output_fired_time: 0.0000000000, propagate_forward_time: 92.3233642578, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0614929199
validation[          , genome  5612] predictions:    5919/  10000 (59.19%), best:    5919/10000 (59.19%), error:     12468.14355, best error:     12468.14355 on epoch:    41, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1222.1719970703s, input_fired_time: 8.6322145462, output_fired_time: 8.2710723877, propagate_forward_time: 467.0388793945, propagate_backward_time: 726.5964965820, weight_update_time: 1.1146684885, other_time: 11.6333007813
epoch time: 96.1788864136s, input_fired_time: 1.1061882973, output_fired_time: 0.0000000000, propagate_forward_time: 93.0422668457, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0304336548
validation[          , genome  5612] predictions:    5925/  10000 (59.25%), best:    5919/10000 (59.19%), error:     12538.29785, best error:     12468.14355 on epoch:    41, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1228.8659667969s, input_fired_time: 8.6682672501, output_fired_time: 8.2472782135, propagate_forward_time: 467.8018493652, propagate_backward_time: 732.5485229492, weight_update_time: 1.1137987375, other_time: 11.6000366211
epoch time: 96.4538574219s, input_fired_time: 1.0907778740, output_fired_time: 0.0000000000, propagate_forward_time: 93.3747863770, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9882965088
validation[          , genome  5612] predictions:    5966/  10000 (59.66%), best:    5919/10000 (59.19%), error:     12548.32422, best error:     12468.14355 on epoch:    41, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1223.9516601563s, input_fired_time: 8.6685819626, output_fired_time: 8.3333015442, propagate_forward_time: 466.5599670410, propagate_backward_time: 728.8826293945, weight_update_time: 1.1117320061, other_time: 11.5072631836
epoch time: 96.0438766479s, input_fired_time: 1.0932366848, output_fired_time: 0.0000000000, propagate_forward_time: 92.9634017944, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9872360229
validation[          , genome  5612] predictions:    5842/  10000 (58.42%), best:    5919/10000 (59.19%), error:     12817.12109, best error:     12468.14355 on epoch:    41, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1224.9916992188s, input_fired_time: 8.6808490753, output_fired_time: 8.3793859482, propagate_forward_time: 467.7981567383, propagate_backward_time: 728.5607910156, weight_update_time: 1.1471221447, other_time: 11.5724487305
epoch time: 96.1013336182s, input_fired_time: 1.0907416344, output_fired_time: 0.0000000000, propagate_forward_time: 93.0247039795, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9858856201
validation[          , genome  5612] predictions:    5949/  10000 (59.49%), best:    5949/10000 (59.49%), error:     12423.74219, best error:     12423.74219 on epoch:    45, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1218.6877441406s, input_fired_time: 8.6539611816, output_fired_time: 8.2897434235, propagate_forward_time: 465.5125427246, propagate_backward_time: 724.7153320313, weight_update_time: 1.1168019772, other_time: 11.5161132813
epoch time: 96.1664886475s, input_fired_time: 1.0755968094, output_fired_time: 0.0000000000, propagate_forward_time: 93.0910034180, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9998855591
validation[          , genome  5612] predictions:    5871/  10000 (58.71%), best:    5949/10000 (59.49%), error:     12805.28027, best error:     12423.74219 on epoch:    45, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1224.0629882813s, input_fired_time: 8.6844358444, output_fired_time: 8.3779697418, propagate_forward_time: 467.8095703125, propagate_backward_time: 727.6084594727, weight_update_time: 1.1358199120, other_time: 11.5825805664
epoch time: 96.3445816040s, input_fired_time: 1.1005103588, output_fired_time: 0.0000000000, propagate_forward_time: 93.2385635376, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0055084229
validation[          , genome  5612] predictions:    5981/  10000 (59.81%), best:    5981/10000 (59.81%), error:     12263.85547, best error:     12263.85547 on epoch:    47, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1233.8685302734s, input_fired_time: 8.7531509399, output_fired_time: 8.4212846756, propagate_forward_time: 471.6741333008, propagate_backward_time: 733.4703369141, weight_update_time: 1.1277271509, other_time: 11.5496215820
epoch time: 96.7130432129s, input_fired_time: 1.1036665440, output_fired_time: 0.0000000000, propagate_forward_time: 93.6376419067, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9717330933
validation[          , genome  5612] predictions:    5870/  10000 (58.70%), best:    5981/10000 (59.81%), error:     12689.03711, best error:     12263.85547 on epoch:    47, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1223.1137695313s, input_fired_time: 8.6432924271, output_fired_time: 8.3487815857, propagate_forward_time: 467.9004211426, propagate_backward_time: 726.8128051758, weight_update_time: 1.1141374111, other_time: 11.4085083008
epoch time: 96.4077072144s, input_fired_time: 1.1087650061, output_fired_time: 0.0000000000, propagate_forward_time: 93.3215103149, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9774322510
validation[          , genome  5612] predictions:    6013/  10000 (60.13%), best:    6013/10000 (60.13%), error:     12241.94824, best error:     12241.94824 on epoch:    49, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1210.6313476563s, input_fired_time: 8.5639076233, output_fired_time: 8.2133092880, propagate_forward_time: 463.2610778809, propagate_backward_time: 719.2994995117, weight_update_time: 1.1054946184, other_time: 11.2935180664
epoch time: 95.4830932617s, input_fired_time: 1.0818003416, output_fired_time: 0.0000000000, propagate_forward_time: 92.4257736206, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9755172729
validation[          , genome  5612] predictions:    5986/  10000 (59.86%), best:    6013/10000 (60.13%), error:     12397.57129, best error:     12241.94824 on epoch:    49, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 1218.8729248047s, input_fired_time: 8.6315793991, output_fired_time: 8.1960439682, propagate_forward_time: 464.9494628906, propagate_backward_time: 725.7291259766, weight_update_time: 1.1090275049, other_time: 11.3666992188
epoch time: 96.7389984131s, input_fired_time: 1.1192500591, output_fired_time: 0.0000000000, propagate_forward_time: 93.5531463623, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0666046143
validation[          , genome  5612] predictions:    5914/  10000 (59.14%), best:    6013/10000 (60.13%), error:     12959.30469, best error:     12241.94824 on epoch:    49, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 1215.3199462891s, input_fired_time: 8.6123762131, output_fired_time: 8.2236757278, propagate_forward_time: 464.0436401367, propagate_backward_time: 722.7600708008, weight_update_time: 1.1040357351, other_time: 11.6801757813
epoch time: 96.2359008789s, input_fired_time: 1.0935736895, output_fired_time: 0.0000000000, propagate_forward_time: 93.0964508057, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0458755493
validation[          , genome  5612] predictions:    6001/  10000 (60.01%), best:    6013/10000 (60.13%), error:     12653.13379, best error:     12241.94824 on epoch:    49, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 1225.5493164063s, input_fired_time: 8.6027917862, output_fired_time: 8.1763677597, propagate_forward_time: 466.8804016113, propagate_backward_time: 730.6257934570, weight_update_time: 1.1087393761, other_time: 11.2639770508
epoch time: 95.0500259399s, input_fired_time: 1.0742875338, output_fired_time: 0.0000000000, propagate_forward_time: 92.0308990479, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9448394775
validation[          , genome  5612] predictions:    6030/  10000 (60.30%), best:    6013/10000 (60.13%), error:     12426.45508, best error:     12241.94824 on epoch:    49, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 1211.2227783203s, input_fired_time: 8.5087823868, output_fired_time: 8.0523633957, propagate_forward_time: 460.9378356934, propagate_backward_time: 722.7603759766, weight_update_time: 1.0813812017, other_time: 10.9633789063
epoch time: 94.6073837280s, input_fired_time: 1.0738935471, output_fired_time: 0.0000000000, propagate_forward_time: 91.6648712158, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8686218262
validation[          , genome  5612] predictions:    5924/  10000 (59.24%), best:    6013/10000 (60.13%), error:     12606.46289, best error:     12241.94824 on epoch:    49, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 1207.9512939453s, input_fired_time: 8.4929971695, output_fired_time: 8.0157270432, propagate_forward_time: 459.3374328613, propagate_backward_time: 721.2254638672, weight_update_time: 1.0846488476, other_time: 10.8796386719
epoch time: 93.5599288940s, input_fired_time: 1.0650876760, output_fired_time: 0.0000000000, propagate_forward_time: 90.5998992920, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8949432373
validation[          , genome  5612] predictions:    6056/  10000 (60.56%), best:    6056/10000 (60.56%), error:     12204.81152, best error:     12204.81152 on epoch:    55, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 4756.6499023438s, input_fired_time: 8.9097681046, output_fired_time: 8.4983568192, propagate_forward_time: 3991.5031738281, propagate_backward_time: 735.6303710938, weight_update_time: 1.1716574430, other_time: 12.1081542969
epoch time: 99.9713897705s, input_fired_time: 1.2200560570, output_fired_time: 0.0000000000, propagate_forward_time: 96.1792678833, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5720672607
validation[          , genome  5612] predictions:    5945/  10000 (59.45%), best:    6056/10000 (60.56%), error:     12491.02539, best error:     12204.81152 on epoch:    55, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 1235.5467529297s, input_fired_time: 9.4912738800, output_fired_time: 9.1085243225, propagate_forward_time: 475.2892150879, propagate_backward_time: 727.4308471680, weight_update_time: 1.2551620007, other_time: 14.2268676758
epoch time: 95.4568099976s, input_fired_time: 1.1584533453, output_fired_time: 0.0000000000, propagate_forward_time: 91.8210830688, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4772720337
validation[          , genome  5612] predictions:    6060/  10000 (60.60%), best:    6056/10000 (60.56%), error:     12348.70703, best error:     12204.81152 on epoch:    55, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 1230.2310791016s, input_fired_time: 9.3963117599, output_fired_time: 9.0778045654, propagate_forward_time: 473.1997375488, propagate_backward_time: 724.4872436523, weight_update_time: 1.2475312948, other_time: 14.0700073242
epoch time: 98.1487045288s, input_fired_time: 1.1516556740, output_fired_time: 0.0000000000, propagate_forward_time: 94.6759796143, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3210678101
validation[          , genome  5612] predictions:    6049/  10000 (60.49%), best:    6056/10000 (60.56%), error:     12426.67383, best error:     12204.81152 on epoch:    55, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 1245.8845214844s, input_fired_time: 9.4531764984, output_fired_time: 9.1777992249, propagate_forward_time: 478.1608886719, propagate_backward_time: 734.9741821289, weight_update_time: 1.2385901213, other_time: 14.1184692383
epoch time: 101.0395431519s, input_fired_time: 1.2167403698, output_fired_time: 0.0000000000, propagate_forward_time: 97.4357681274, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3870315552
validation[          , genome  5612] predictions:    6006/  10000 (60.06%), best:    6056/10000 (60.56%), error:     12639.62402, best error:     12204.81152 on epoch:    55, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 1274.1173095703s, input_fired_time: 9.6140422821, output_fired_time: 9.2368144989, propagate_forward_time: 489.7600708008, propagate_backward_time: 751.2159423828, weight_update_time: 1.2489756346, other_time: 14.2904663086
epoch time: 104.8484954834s, input_fired_time: 1.2764837742, output_fired_time: 0.0000000000, propagate_forward_time: 100.9043045044, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6677093506
validation[          , genome  5612] predictions:    6092/  10000 (60.92%), best:    6056/10000 (60.56%), error:     12271.45801, best error:     12204.81152 on epoch:    55, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 1290.9394531250s, input_fired_time: 9.7282075882, output_fired_time: 9.4212875366, propagate_forward_time: 496.6084594727, propagate_backward_time: 760.7525024414, weight_update_time: 1.2752707005, other_time: 14.4290771484
epoch time: 104.3622665405s, input_fired_time: 1.2343021631, output_fired_time: 0.0000000000, propagate_forward_time: 100.6598739624, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4680938721
validation[          , genome  5612] predictions:    6086/  10000 (60.86%), best:    6086/10000 (60.86%), error:     12193.88867, best error:     12193.88867 on epoch:    61, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 1286.7735595703s, input_fired_time: 9.6966924667, output_fired_time: 9.2766447067, propagate_forward_time: 495.1423034668, propagate_backward_time: 758.1520996094, weight_update_time: 1.2777811289, other_time: 14.5058593750
epoch time: 105.0203247070s, input_fired_time: 1.2594079971, output_fired_time: 0.0000000000, propagate_forward_time: 101.2830810547, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4778366089
validation[          , genome  5612] predictions:    6111/  10000 (61.11%), best:    6111/10000 (61.11%), error:     12092.52832, best error:     12092.52832 on epoch:    62, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 2326.2414550781s, input_fired_time: 9.4070339203, output_fired_time: 9.0192155838, propagate_forward_time: 483.0291442871, propagate_backward_time: 1811.4195556641, weight_update_time: 1.2428833246, other_time: 13.3664550781
epoch time: 99.7565612793s, input_fired_time: 1.1628975868, output_fired_time: 0.0000000000, propagate_forward_time: 96.3751220703, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2185440063
validation[          , genome  5612] predictions:    5993/  10000 (59.93%), best:    6111/10000 (61.11%), error:     12701.68652, best error:     12092.52832 on epoch:    62, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 1226.1923828125s, input_fired_time: 9.2622261047, output_fired_time: 8.8477897644, propagate_forward_time: 471.1584777832, propagate_backward_time: 723.6046142578, weight_update_time: 1.2158374786, other_time: 13.3193359375
epoch time: 97.0546264648s, input_fired_time: 1.1508471966, output_fired_time: 0.0000000000, propagate_forward_time: 93.5803298950, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3234481812
validation[          , genome  5612] predictions:    6050/  10000 (60.50%), best:    6111/10000 (61.11%), error:     12319.06836, best error:     12092.52832 on epoch:    62, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 1229.6704101563s, input_fired_time: 9.2036981583, output_fired_time: 8.8534660339, propagate_forward_time: 473.0591430664, propagate_backward_time: 725.2857666016, weight_update_time: 1.2230620384, other_time: 13.2682495117
epoch time: 99.1882400513s, input_fired_time: 1.2024925947, output_fired_time: 0.0000000000, propagate_forward_time: 95.5100173950, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4757308960
validation[          , genome  5612] predictions:    6026/  10000 (60.26%), best:    6111/10000 (61.11%), error:     12717.44336, best error:     12092.52832 on epoch:    62, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 2640.3256835938s, input_fired_time: 9.4215908051, output_fired_time: 9.1094779968, propagate_forward_time: 1882.9144287109, propagate_backward_time: 724.8950195313, weight_update_time: 1.2382153273, other_time: 13.9852294922
epoch time: 98.0850830078s, input_fired_time: 1.1989296675, output_fired_time: 0.0000000000, propagate_forward_time: 94.4014282227, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4847259521
validation[          , genome  5612] predictions:    6137/  10000 (61.37%), best:    6111/10000 (61.11%), error:     12114.15918, best error:     12092.52832 on epoch:    62, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 1237.1704101563s, input_fired_time: 9.4007863998, output_fired_time: 8.9742822647, propagate_forward_time: 476.9034118652, propagate_backward_time: 727.9635620117, weight_update_time: 1.2390987873, other_time: 13.9284057617
epoch time: 97.6340560913s, input_fired_time: 1.2098386288, output_fired_time: 0.0000000000, propagate_forward_time: 93.8913269043, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5328903198
validation[          , genome  5612] predictions:    6147/  10000 (61.47%), best:    6111/10000 (61.11%), error:     12096.34961, best error:     12092.52832 on epoch:    62, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 1238.9525146484s, input_fired_time: 9.4870691299, output_fired_time: 8.9930477142, propagate_forward_time: 476.4799194336, propagate_backward_time: 730.0810546875, weight_update_time: 1.2525205612, other_time: 13.9114379883
epoch time: 98.9551925659s, input_fired_time: 1.1984555721, output_fired_time: 0.0000000000, propagate_forward_time: 95.2934799194, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4632568359
validation[          , genome  5612] predictions:    6092/  10000 (60.92%), best:    6111/10000 (61.11%), error:     12158.82227, best error:     12092.52832 on epoch:    62, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 1226.1186523438s, input_fired_time: 9.2977886200, output_fired_time: 8.9040794373, propagate_forward_time: 471.4588928223, propagate_backward_time: 723.1126708984, weight_update_time: 1.2489553690, other_time: 13.3453369141
epoch time: 97.1529388428s, input_fired_time: 1.1547296047, output_fired_time: 0.0000000000, propagate_forward_time: 93.7520294189, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2461776733
validation[          , genome  5612] predictions:    6144/  10000 (61.44%), best:    6144/10000 (61.44%), error:     11976.70508, best error:     11976.70508 on epoch:    69, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

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/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_185_5612.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_185_5612_0_r57023066_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: 0.976484
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000344796
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.37918e-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: 70
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 69
read number_validation_images: 10000
read best_validation_predictions: 6144
read best_validation_error: 11976.7
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: 5612
read normal distribution: '1 0 0'
generator_str: '668911601'
read generator: 668911601
read generated_by_map:
1 crossover 1
reading 85 nodes.
reading 353 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
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: 3x32x32 = 3072
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: 3
width: 32
height: 32
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: 3x32x32 = 3072
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
loaded images
starting backpropagation!
epoch time: 1204.23022460938s, input_fired_time: 8.61469650268555, output_fired_time: 8.18669319152832, propagate_forward_time: 466.779388427734, propagate_backward_time: 709.417236328125, weight_update_time: 1.09503531455994, other_time: 11.232177734375
epoch time: 102.125877380371s, input_fired_time: 1.08832383155823, output_fired_time: 0, propagate_forward_time: 99.2159271240234, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.82162475585938
validation[          , genome  5612] predictions:    6097/  10000 (60.97%), best:    6144/10000 (61.44%), error:     12214.51855, best error:     11976.70508 on epoch:    69, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 1254.6408691406s, input_fired_time: 8.6978731155, output_fired_time: 8.4610862732, propagate_forward_time: 495.2234802246, propagate_backward_time: 731.7554931641, weight_update_time: 1.1126449108, other_time: 10.5029296875
epoch time: 101.9886703491s, input_fired_time: 1.0798723698, output_fired_time: 0.0000000000, propagate_forward_time: 99.0871505737, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8216476440
validation[          , genome  5612] predictions:    6082/  10000 (60.82%), best:    6144/10000 (61.44%), error:     12368.75586, best error:     11976.70508 on epoch:    69, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 1317.8137207031s, input_fired_time: 9.1711673737, output_fired_time: 8.7996273041, propagate_forward_time: 519.8424072266, propagate_backward_time: 768.8677978516, weight_update_time: 1.1511826515, other_time: 11.1326904297
epoch time: 102.5164794922s, input_fired_time: 1.1022464037, output_fired_time: 0.0000000000, propagate_forward_time: 99.5547866821, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8594436646
validation[          , genome  5612] predictions:    6111/  10000 (61.11%), best:    6144/10000 (61.44%), error:     12223.46777, best error:     11976.70508 on epoch:    69, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 21113.5625000000s, input_fired_time: 8.8819408417, output_fired_time: 8.5728406906, propagate_forward_time: 494.5277709961, propagate_backward_time: 20590.0839843750, weight_update_time: 1.1487205029, other_time: 11.4960937500
epoch time: 101.3605422974s, input_fired_time: 1.1089456081, output_fired_time: 0.0000000000, propagate_forward_time: 98.3855438232, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8660507202
validation[          , genome  5612] predictions:    6105/  10000 (61.05%), best:    6144/10000 (61.44%), error:     12181.85938, best error:     11976.70508 on epoch:    69, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 1255.2750244141s, input_fired_time: 8.8151731491, output_fired_time: 8.5232686996, propagate_forward_time: 491.9171752930, propagate_backward_time: 735.2149658203, weight_update_time: 1.1188930273, other_time: 10.8043823242
epoch time: 102.1276168823s, input_fired_time: 1.0977205038, output_fired_time: 0.0000000000, propagate_forward_time: 99.1191101074, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9107894897
validation[          , genome  5612] predictions:    6010/  10000 (60.10%), best:    6144/10000 (61.44%), error:     12604.68750, best error:     11976.70508 on epoch:    69, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 1253.3345947266s, input_fired_time: 8.8066234589, output_fired_time: 8.4548320770, propagate_forward_time: 491.5547180176, propagate_backward_time: 733.7119750977, weight_update_time: 1.1178990602, other_time: 10.8064575195
epoch time: 102.5046539307s, input_fired_time: 1.1037908792, output_fired_time: 0.0000000000, propagate_forward_time: 99.5250244141, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8758392334
validation[          , genome  5612] predictions:    6204/  10000 (62.04%), best:    6204/10000 (62.04%), error:     11961.08008, best error:     11961.08008 on epoch:    75, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 1256.4833984375s, input_fired_time: 8.8394289017, output_fired_time: 8.4999828339, propagate_forward_time: 492.4106750488, propagate_backward_time: 735.8741455078, weight_update_time: 1.1186978817, other_time: 10.8591308594
epoch time: 104.5800170898s, input_fired_time: 1.1190899611, output_fired_time: 0.0000000000, propagate_forward_time: 101.6082458496, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8526840210
validation[          , genome  5612] predictions:    6178/  10000 (61.78%), best:    6204/10000 (62.04%), error:     12206.31348, best error:     11961.08008 on epoch:    75, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 1291.0743408203s, input_fired_time: 9.0906896591, output_fired_time: 8.8080854416, propagate_forward_time: 508.9592285156, propagate_backward_time: 753.3468627930, weight_update_time: 1.1429862976, other_time: 10.8694458008
epoch time: 106.2347946167s, input_fired_time: 1.1335619688, output_fired_time: 0.0000000000, propagate_forward_time: 103.2369842529, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8642501831
validation[          , genome  5612] predictions:    6101/  10000 (61.01%), best:    6204/10000 (62.04%), error:     12208.08496, best error:     11961.08008 on epoch:    75, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 1359.1719970703s, input_fired_time: 9.5305900574, output_fired_time: 9.2481794357, propagate_forward_time: 537.5855712891, propagate_backward_time: 791.3463134766, weight_update_time: 1.2129570246, other_time: 11.4613037109
epoch time: 118.2306518555s, input_fired_time: 1.2989221811, output_fired_time: 0.0000000000, propagate_forward_time: 114.7851638794, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1465682983
validation[          , genome  5612] predictions:    6086/  10000 (60.86%), best:    6204/10000 (62.04%), error:     12256.59082, best error:     11961.08008 on epoch:    75, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 1440.6186523438s, input_fired_time: 10.1957883835, output_fired_time: 9.7748937607, propagate_forward_time: 571.2676391602, propagate_backward_time: 837.0698852539, weight_update_time: 1.2922677994, other_time: 12.3104248047
epoch time: 111.1555099487s, input_fired_time: 1.2050052881, output_fired_time: 0.0000000000, propagate_forward_time: 107.9156494141, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0348587036
validation[          , genome  5612] predictions:    6166/  10000 (61.66%), best:    6204/10000 (62.04%), error:     12075.17383, best error:     11961.08008 on epoch:    75, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 1442.4870605469s, input_fired_time: 10.2082099915, output_fired_time: 9.8616094589, propagate_forward_time: 571.6919555664, propagate_backward_time: 838.6551513672, weight_update_time: 1.3278774023, other_time: 12.0701293945
epoch time: 119.5731201172s, input_fired_time: 1.3129706383, output_fired_time: 0.0000000000, propagate_forward_time: 116.0465087891, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2136383057
validation[          , genome  5612] predictions:    6062/  10000 (60.62%), best:    6204/10000 (62.04%), error:     12415.52051, best error:     11961.08008 on epoch:    75, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 1408.6899414063s, input_fired_time: 10.0435256958, output_fired_time: 9.6157016754, propagate_forward_time: 558.9612426758, propagate_backward_time: 818.1165771484, weight_update_time: 1.2652809620, other_time: 11.9528198242
epoch time: 119.4873046875s, input_fired_time: 1.3061957359, output_fired_time: 0.0000000000, propagate_forward_time: 116.0413742065, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1397323608
validation[          , genome  5612] predictions:    6160/  10000 (61.60%), best:    6204/10000 (62.04%), error:     12189.32422, best error:     11961.08008 on epoch:    75, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 1442.8083496094s, input_fired_time: 10.1022977829, output_fired_time: 9.9623346329, propagate_forward_time: 571.2467651367, propagate_backward_time: 839.1585693359, weight_update_time: 1.2965767384, other_time: 12.3384399414
epoch time: 114.2105636597s, input_fired_time: 1.2456791401, output_fired_time: 0.0000000000, propagate_forward_time: 110.9033126831, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0615692139
validation[          , genome  5612] predictions:    6138/  10000 (61.38%), best:    6204/10000 (62.04%), error:     12209.24512, best error:     11961.08008 on epoch:    75, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 1489.1361083984s, input_fired_time: 10.6528434753, output_fired_time: 10.2444591522, propagate_forward_time: 589.3220825195, propagate_backward_time: 866.0581054688, weight_update_time: 1.3667623997, other_time: 12.8585815430
epoch time: 120.9440078735s, input_fired_time: 1.3851627111, output_fired_time: 0.0000000000, propagate_forward_time: 117.3531265259, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2057189941
validation[          , genome  5612] predictions:    6148/  10000 (61.48%), best:    6204/10000 (62.04%), error:     12482.45020, best error:     11961.08008 on epoch:    75, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 1424.5100097656s, input_fired_time: 9.9503984451, output_fired_time: 9.6958436966, propagate_forward_time: 564.2926025391, propagate_backward_time: 828.4611206055, weight_update_time: 1.2404882908, other_time: 12.1100463867
epoch time: 119.5360183716s, input_fired_time: 1.2861566544, output_fired_time: 0.0000000000, propagate_forward_time: 116.1357727051, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1140899658
validation[          , genome  5612] predictions:    6128/  10000 (61.28%), best:    6204/10000 (62.04%), error:     12346.90527, best error:     11961.08008 on epoch:    75, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 1490.2045898438s, input_fired_time: 9.6044797897, output_fired_time: 9.3171262741, propagate_forward_time: 544.5458374023, propagate_backward_time: 915.2448120117, weight_update_time: 1.2143265009, other_time: 11.4923095703
epoch time: 104.3286209106s, input_fired_time: 1.1169389486, output_fired_time: 0.0000000000, propagate_forward_time: 101.3701171875, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8415679932
validation[          , genome  5612] predictions:    6204/  10000 (62.04%), best:    6204/10000 (62.04%), error:     12166.96777, best error:     11961.08008 on epoch:    75, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 1296.6434326172s, input_fired_time: 9.1032953262, output_fired_time: 8.8267478943, propagate_forward_time: 515.0543823242, propagate_backward_time: 752.8875732422, weight_update_time: 1.1593772173, other_time: 10.7714233398
epoch time: 103.7358703613s, input_fired_time: 1.1039656401, output_fired_time: 0.0000000000, propagate_forward_time: 100.7953567505, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8365478516
validation[          , genome  5612] predictions:    6202/  10000 (62.02%), best:    6204/10000 (62.04%), error:     12187.95605, best error:     11961.08008 on epoch:    75, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 1290.3669433594s, input_fired_time: 9.0414676666, output_fired_time: 8.8146038055, propagate_forward_time: 512.8840942383, propagate_backward_time: 748.9801635742, weight_update_time: 1.1466479301, other_time: 10.6466064453
epoch time: 107.4519958496s, input_fired_time: 1.1489638090, output_fired_time: 0.0000000000, propagate_forward_time: 104.4082794189, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8947525024
validation[          , genome  5612] predictions:    6179/  10000 (61.79%), best:    6204/10000 (62.04%), error:     11980.14160, best error:     11961.08008 on epoch:    75, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 1285.5628662109s, input_fired_time: 9.0251188278, output_fired_time: 8.7430229187, propagate_forward_time: 510.5453796387, propagate_backward_time: 746.5783081055, weight_update_time: 1.1496659517, other_time: 10.6709594727
epoch time: 103.8661193848s, input_fired_time: 1.1172715425, output_fired_time: 0.0000000000, propagate_forward_time: 100.8906173706, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8582305908
validation[          , genome  5612] predictions:    6172/  10000 (61.72%), best:    6204/10000 (62.04%), error:     12209.55664, best error:     11961.08008 on epoch:    75, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 1316.6064453125s, input_fired_time: 9.3058605194, output_fired_time: 8.9797468185, propagate_forward_time: 523.2780761719, propagate_backward_time: 764.1756591797, weight_update_time: 1.1655019522, other_time: 10.8670654297
epoch time: 107.7785949707s, input_fired_time: 1.1186795235, output_fired_time: 0.0000000000, propagate_forward_time: 104.7736129761, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8862991333
validation[          , genome  5612] predictions:    6199/  10000 (61.99%), best:    6204/10000 (62.04%), error:     12123.74414, best error:     11961.08008 on epoch:    75, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 1290.6857910156s, input_fired_time: 9.0804853439, output_fired_time: 8.8090572357, propagate_forward_time: 512.5043334961, propagate_backward_time: 749.5524902344, weight_update_time: 1.1544104815, other_time: 10.7394409180
epoch time: 106.4198455811s, input_fired_time: 1.1365545988, output_fired_time: 0.0000000000, propagate_forward_time: 103.4057922363, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8775024414
validation[          , genome  5612] predictions:    6171/  10000 (61.71%), best:    6204/10000 (62.04%), error:     12022.69141, best error:     11961.08008 on epoch:    75, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 1285.1867675781s, input_fired_time: 9.0165319443, output_fired_time: 8.7378034592, propagate_forward_time: 510.8025817871, propagate_backward_time: 746.0170288086, weight_update_time: 1.1408815384, other_time: 10.6128540039
epoch time: 108.9985275269s, input_fired_time: 1.1734745502, output_fired_time: 0.0000000000, propagate_forward_time: 105.9047393799, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9203109741
validation[          , genome  5612] predictions:    6127/  10000 (61.27%), best:    6204/10000 (62.04%), error:     12306.61133, best error:     11961.08008 on epoch:    75, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 1307.5505371094s, input_fired_time: 9.2270221710, output_fired_time: 8.9056663513, propagate_forward_time: 519.5360717773, propagate_backward_time: 758.9666748047, weight_update_time: 1.1681644917, other_time: 10.9151000977
epoch time: 104.0808105469s, input_fired_time: 1.1323932409, output_fired_time: 0.0000000000, propagate_forward_time: 101.0988159180, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8496017456
validation[          , genome  5612] predictions:    6200/  10000 (62.00%), best:    6204/10000 (62.04%), error:     12098.77246, best error:     11961.08008 on epoch:    75, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 1292.4912109375s, input_fired_time: 9.0822849274, output_fired_time: 8.8027763367, propagate_forward_time: 512.9260253906, propagate_backward_time: 750.9070434570, weight_update_time: 1.1527327299, other_time: 10.7731323242
epoch time: 106.3665237427s, input_fired_time: 1.1437468529, output_fired_time: 0.0000000000, propagate_forward_time: 103.3442840576, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8784942627
validation[          , genome  5612] predictions:    6172/  10000 (61.72%), best:    6204/10000 (62.04%), error:     12148.22461, best error:     11961.08008 on epoch:    75, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 1284.6418457031s, input_fired_time: 9.0559177399, output_fired_time: 8.7429513931, propagate_forward_time: 510.0120849609, propagate_backward_time: 746.0825805664, weight_update_time: 1.1809138060, other_time: 10.7483520508
epoch time: 108.9631958008s, input_fired_time: 1.1807923317, output_fired_time: 0.0000000000, propagate_forward_time: 105.8434753418, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9389266968
validation[          , genome  5612] predictions:    6170/  10000 (61.70%), best:    6204/10000 (62.04%), error:     12106.64941, best error:     11961.08008 on epoch:    75, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 1317.7926025391s, input_fired_time: 9.3368186951, output_fired_time: 8.9875421524, propagate_forward_time: 522.9811401367, propagate_backward_time: 765.5266113281, weight_update_time: 1.1721615791, other_time: 10.9605102539
epoch time: 104.2582244873s, input_fired_time: 1.1261429787, output_fired_time: 0.0000000000, propagate_forward_time: 101.2559432983, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8761367798
validation[          , genome  5612] predictions:    6192/  10000 (61.92%), best:    6204/10000 (62.04%), error:     12191.02832, best error:     11961.08008 on epoch:    75, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 1295.9791259766s, input_fired_time: 9.1256504059, output_fired_time: 8.8518047333, propagate_forward_time: 515.0069580078, propagate_backward_time: 752.2210693359, weight_update_time: 1.1562770605, other_time: 10.7736816406
epoch time: 106.6923980713s, input_fired_time: 1.1536450386, output_fired_time: 0.0000000000, propagate_forward_time: 103.6606216431, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8781280518
validation[          , genome  5612] predictions:    6157/  10000 (61.57%), best:    6204/10000 (62.04%), error:     12354.27637, best error:     11961.08008 on epoch:    75, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 1288.7714843750s, input_fired_time: 9.0906972885, output_fired_time: 8.7583179474, propagate_forward_time: 511.8575134277, propagate_backward_time: 748.3568115234, weight_update_time: 1.1528059244, other_time: 10.7081298828
epoch time: 106.9668884277s, input_fired_time: 1.1648868322, output_fired_time: 0.0000000000, propagate_forward_time: 103.8882064819, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9137954712
validation[          , genome  5612] predictions:    6217/  10000 (62.17%), best:    6204/10000 (62.04%), error:     12152.92773, best error:     11961.08008 on epoch:    75, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 1265.6335449219s, input_fired_time: 10.3427495956, output_fired_time: 10.2040481567, propagate_forward_time: 496.8628234863, propagate_backward_time: 735.5780639648, weight_update_time: 1.2324156761, other_time: 12.6458129883
epoch time: 104.1296386719s, input_fired_time: 1.1319417953, output_fired_time: 0.0000000000, propagate_forward_time: 101.0957031250, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9019927979
validation[          , genome  5612] predictions:    6193/  10000 (61.93%), best:    6204/10000 (62.04%), error:     12166.12891, best error:     11961.08008 on epoch:    75, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 1303.7484130859s, input_fired_time: 9.2299566269, output_fired_time: 8.8667926788, propagate_forward_time: 518.0038452148, propagate_backward_time: 756.6350708008, weight_update_time: 1.1534652710, other_time: 11.0126953125
epoch time: 107.4201660156s, input_fired_time: 1.1598070860, output_fired_time: 0.0000000000, propagate_forward_time: 104.3363189697, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9240417480
validation[          , genome  5612] predictions:    6197/  10000 (61.97%), best:    6204/10000 (62.04%), error:     12282.90918, best error:     11961.08008 on epoch:    75, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 1298.2839355469s, input_fired_time: 9.1628952026, output_fired_time: 8.8636846542, propagate_forward_time: 514.7870483398, propagate_backward_time: 754.4999389648, weight_update_time: 1.1600135565, other_time: 10.9704589844
epoch time: 103.9783096313s, input_fired_time: 1.1223551035, output_fired_time: 0.0000000000, propagate_forward_time: 100.9831390381, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8728179932
validation[          , genome  5612] predictions:    6220/  10000 (62.20%), best:    6204/10000 (62.04%), error:     12046.45508, best error:     11961.08008 on epoch:    75, epoch:  100/100, mu: 0.9870989323, learning_rate: 0.0000740065, weight_decay: 0.0000029603

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 525.3666381836s, input_fired_time: 5.5870695114, output_fired_time: 0.0000000000, propagate_forward_time: 510.3226013184, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.4569396973
best training[          , genome  5612] predictions:   40243/  50000 (80.49%), best:    6204/10000 (62.04%), error:     29577.73047, best error:     11961.08008 on epoch:    75, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 105.3320159912s, input_fired_time: 1.1182726622, output_fired_time: 0.0000000000, propagate_forward_time: 102.3575744629, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8561706543
   testing[          , genome  5612] predictions:    6204/  10000 (62.04%), best:    6204/10000 (62.04%), error:     11961.08008, best error:     11961.08008 on epoch:    75, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
08:22:27 (3416): called boinc_finish(0)

</stderr_txt>
]]>