Nameexact_genome_1542692703_176_6400_1
Workunit4100874
Created20 Nov 2018, 10:40:07 UTC
Sent20 Nov 2018, 11:26:59 UTC
Report deadline13 Jan 2019, 2:07:35 UTC
Received21 Nov 2018, 10:58:26 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID84860
Run time22 hours 0 min 49 sec
CPU time21 hours 51 min 1 sec
Validate stateValid
Credit13,402.88
Device peak FLOPS4.41 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33
Peak working set size514.89 MB
Peak swap size517.64 MB
Peak disk usage6.09 MB

Stderr output

<core_client_version>7.9.3</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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_1542692703_176_6400.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_176_6400_1_r383212915_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542692703_176_6400.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: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
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: 0
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6400
read normal distribution: '1 0 0'
generator_str: '957082850'
read generator: 957082850
read generated_by_map:
1 crossover 1
reading 98 nodes.
reading 407 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 0
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: 0.0684280395507812
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!
generator min: 1, generator max: 2147483646
pre shuffle 1: 1038943920
post shuffle 1: 1022013351
epoch time: 1406.10107421875s, input_fired_time: 8.35568046569824, output_fired_time: 6.28445196151733, propagate_forward_time: 539.810119628906, propagate_backward_time: 841.998229980469, weight_update_time: 0.783362507820129, other_time: 9.652587890625
epoch time: 110.654792785645s, input_fired_time: 0.865590333938599, output_fired_time: 0, propagate_forward_time: 108.157684326172, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.63151550292969
validation[          , genome  6400] predictions:    4699/  10000 (46.99%), best:    4699/10000 (46.99%), error:     18725.90625, best error:     18725.90625 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1413.4722900391s, input_fired_time: 8.3260669708, output_fired_time: 6.2784099579, propagate_forward_time: 546.1265258789, propagate_backward_time: 842.9663085938, weight_update_time: 0.7994089127, other_time: 9.7749633789
epoch time: 113.5402145386s, input_fired_time: 0.8838611245, output_fired_time: 0.0000000000, propagate_forward_time: 110.9408340454, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7155227661
validation[          , genome  6400] predictions:    4998/  10000 (49.98%), best:    4998/10000 (49.98%), error:     17685.61914, best error:     17685.61914 on epoch:     1, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1420.8011474609s, input_fired_time: 8.2704372406, output_fired_time: 6.3415803909, propagate_forward_time: 543.7589111328, propagate_backward_time: 852.9337158203, weight_update_time: 0.7770552039, other_time: 9.4965820312
epoch time: 111.5719604492s, input_fired_time: 0.8343790770, output_fired_time: 0.0000000000, propagate_forward_time: 109.0976791382, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6399002075
validation[          , genome  6400] predictions:    4878/  10000 (48.78%), best:    4878/10000 (48.78%), error:     17564.16992, best error:     17564.16992 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1387.5069580078s, input_fired_time: 8.1904277802, output_fired_time: 6.2503972054, propagate_forward_time: 530.8455810547, propagate_backward_time: 832.8946533203, weight_update_time: 0.7855187654, other_time: 9.3259277344
epoch time: 110.6529159546s, input_fired_time: 0.8099785447, output_fired_time: 0.0000000000, propagate_forward_time: 108.2428054810, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6001281738
validation[          , genome  6400] predictions:    5080/  10000 (50.80%), best:    5080/10000 (50.80%), error:     15825.40625, best error:     15825.40625 on epoch:     3, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1376.1884765625s, input_fired_time: 8.2323799133, output_fired_time: 6.2154459953, propagate_forward_time: 528.6560058594, propagate_backward_time: 823.8701171875, weight_update_time: 0.7862146497, other_time: 9.2144775391
epoch time: 110.7832183838s, input_fired_time: 0.8645533323, output_fired_time: 0.0000000000, propagate_forward_time: 108.3066024780, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6120605469
validation[          , genome  6400] predictions:    5135/  10000 (51.35%), best:    5080/10000 (50.80%), error:     16063.82520, best error:     15825.40625 on epoch:     3, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1370.2359619141s, input_fired_time: 8.1734504700, output_fired_time: 6.2207427025, propagate_forward_time: 524.7817993164, propagate_backward_time: 822.0536499023, weight_update_time: 0.7794610262, other_time: 9.0063476562
epoch time: 109.7471313477s, input_fired_time: 0.8160123229, output_fired_time: 0.0000000000, propagate_forward_time: 107.3955993652, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5355224609
validation[          , genome  6400] predictions:    4995/  10000 (49.95%), best:    5080/10000 (50.80%), error:     16331.48438, best error:     15825.40625 on epoch:     3, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1357.8314208984s, input_fired_time: 8.0884399414, output_fired_time: 6.1705083847, propagate_forward_time: 518.7733154297, propagate_backward_time: 816.0857543945, weight_update_time: 0.7600024343, other_time: 8.7133178711
epoch time: 109.9109954834s, input_fired_time: 0.8580517173, output_fired_time: 0.0000000000, propagate_forward_time: 107.4055786133, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6473617554
validation[          , genome  6400] predictions:    5139/  10000 (51.39%), best:    5080/10000 (50.80%), error:     16145.36426, best error:     15825.40625 on epoch:     3, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1411.7740478516s, input_fired_time: 8.2822332382, output_fired_time: 6.2816863060, propagate_forward_time: 542.9535522461, propagate_backward_time: 844.8706054688, weight_update_time: 0.7693342566, other_time: 9.3859252930
epoch time: 108.2870788574s, input_fired_time: 0.8949728608, output_fired_time: 0.0000000000, propagate_forward_time: 105.7282485962, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6638565063
validation[          , genome  6400] predictions:    5142/  10000 (51.42%), best:    5142/10000 (51.42%), error:     15018.38672, best error:     15018.38672 on epoch:     7, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1370.9069824219s, input_fired_time: 8.2813901901, output_fired_time: 6.2066893578, propagate_forward_time: 527.3083496094, propagate_backward_time: 819.7581787109, weight_update_time: 0.7865795493, other_time: 9.3524169922
epoch time: 110.2960205078s, input_fired_time: 0.8752214909, output_fired_time: 0.0000000000, propagate_forward_time: 107.7248153687, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6959838867
validation[          , genome  6400] predictions:    5162/  10000 (51.62%), best:    5142/10000 (51.42%), error:     15847.31055, best error:     15018.38672 on epoch:     7, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1389.2979736328s, input_fired_time: 8.4396085739, output_fired_time: 6.2480368614, propagate_forward_time: 538.7296142578, propagate_backward_time: 825.8789062500, weight_update_time: 0.8185868263, other_time: 10.0018310547
epoch time: 112.4148864746s, input_fired_time: 0.8943965435, output_fired_time: 0.0000000000, propagate_forward_time: 109.7525787354, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7679138184
validation[          , genome  6400] predictions:    5443/  10000 (54.43%), best:    5443/10000 (54.43%), error:     14017.92676, best error:     14017.92676 on epoch:     9, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1419.4084472656s, input_fired_time: 8.4365863800, output_fired_time: 6.3193883896, propagate_forward_time: 551.2081298828, propagate_backward_time: 843.1815795898, weight_update_time: 0.8298023939, other_time: 10.2627563477
epoch time: 113.4215011597s, input_fired_time: 0.8996477723, output_fired_time: 0.0000000000, propagate_forward_time: 110.6584548950, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8633956909
validation[          , genome  6400] predictions:    5427/  10000 (54.27%), best:    5443/10000 (54.43%), error:     14301.61133, best error:     14017.92676 on epoch:     9, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1406.6245117188s, input_fired_time: 8.3630599976, output_fired_time: 6.3050136566, propagate_forward_time: 545.7335815430, propagate_backward_time: 835.9370117188, weight_update_time: 0.8370489478, other_time: 10.2858276367
epoch time: 112.8327560425s, input_fired_time: 0.9279890656, output_fired_time: 0.0000000000, propagate_forward_time: 110.0530776978, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8516921997
validation[          , genome  6400] predictions:    5130/  10000 (51.30%), best:    5443/10000 (54.43%), error:     16222.17188, best error:     14017.92676 on epoch:     9, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1405.7070312500s, input_fired_time: 8.2713985443, output_fired_time: 6.2706365585, propagate_forward_time: 543.5240478516, propagate_backward_time: 837.4628295898, weight_update_time: 0.8185397387, other_time: 10.1781616211
epoch time: 110.7612838745s, input_fired_time: 0.8579813242, output_fired_time: 0.0000000000, propagate_forward_time: 108.1896514893, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7136535645
validation[          , genome  6400] predictions:    5493/  10000 (54.93%), best:    5493/10000 (54.93%), error:     13785.64258, best error:     13785.64258 on epoch:    12, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1412.5989990234s, input_fired_time: 8.3486557007, output_fired_time: 6.2984704971, propagate_forward_time: 546.7422485352, propagate_backward_time: 840.9880981445, weight_update_time: 0.8221317530, other_time: 10.2215576172
epoch time: 110.5363922119s, input_fired_time: 0.8564611673, output_fired_time: 0.0000000000, propagate_forward_time: 107.9925155640, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6874160767
validation[          , genome  6400] predictions:    5388/  10000 (53.88%), best:    5493/10000 (54.93%), error:     14396.62891, best error:     13785.64258 on epoch:    12, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1405.5524902344s, input_fired_time: 8.4351749420, output_fired_time: 6.2884855270, propagate_forward_time: 547.7239990234, propagate_backward_time: 832.7546997070, weight_update_time: 0.8288744092, other_time: 10.3501586914
epoch time: 112.5431671143s, input_fired_time: 0.8977128267, output_fired_time: 0.0000000000, propagate_forward_time: 109.8287887573, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8166656494
validation[          , genome  6400] predictions:    5533/  10000 (55.33%), best:    5533/10000 (55.33%), error:     13385.20215, best error:     13385.20215 on epoch:    14, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1409.2299804688s, input_fired_time: 8.3983039856, output_fired_time: 6.3286042213, propagate_forward_time: 547.1713256836, propagate_backward_time: 837.0575561523, weight_update_time: 0.8331468701, other_time: 10.2741699219
epoch time: 116.1063613892s, input_fired_time: 0.9573861361, output_fired_time: 0.0000000000, propagate_forward_time: 113.2978363037, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8511352539
validation[          , genome  6400] predictions:    5335/  10000 (53.35%), best:    5533/10000 (55.33%), error:     14322.87988, best error:     13385.20215 on epoch:    14, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1416.4066162109s, input_fired_time: 8.3784132004, output_fired_time: 6.3274168968, propagate_forward_time: 550.5423583984, propagate_backward_time: 840.7954711914, weight_update_time: 0.8352011442, other_time: 10.3629760742
epoch time: 107.2708129883s, input_fired_time: 0.9070506096, output_fired_time: 0.0000000000, propagate_forward_time: 104.5981750488, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7655868530
validation[          , genome  6400] predictions:    5462/  10000 (54.62%), best:    5533/10000 (55.33%), error:     13909.89062, best error:     13385.20215 on epoch:    14, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1413.8682861328s, input_fired_time: 8.6002683640, output_fired_time: 6.2657318115, propagate_forward_time: 553.7200317383, propagate_backward_time: 834.6190185547, weight_update_time: 0.8532286286, other_time: 10.6632690430
epoch time: 113.7024078369s, input_fired_time: 0.9565657973, output_fired_time: 0.0000000000, propagate_forward_time: 110.8956222534, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8502197266
validation[          , genome  6400] predictions:    5309/  10000 (53.09%), best:    5533/10000 (55.33%), error:     15042.05273, best error:     13385.20215 on epoch:    14, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1394.0964355469s, input_fired_time: 8.4910955429, output_fired_time: 6.2223758698, propagate_forward_time: 541.4326782227, propagate_backward_time: 827.4760742188, weight_update_time: 0.8436659575, other_time: 10.4741821289
epoch time: 110.8900527954s, input_fired_time: 0.8798747063, output_fired_time: 0.0000000000, propagate_forward_time: 108.2568359375, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7533416748
validation[          , genome  6400] predictions:    5585/  10000 (55.85%), best:    5585/10000 (55.85%), error:     13246.45410, best error:     13246.45410 on epoch:    18, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1389.9622802734s, input_fired_time: 8.4775381088, output_fired_time: 6.2209873199, propagate_forward_time: 539.0329589844, propagate_backward_time: 826.2744750977, weight_update_time: 0.8121258616, other_time: 9.9563598633
epoch time: 110.0753097534s, input_fired_time: 0.9190819263, output_fired_time: 0.0000000000, propagate_forward_time: 107.4520645142, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7041625977
validation[          , genome  6400] predictions:    5604/  10000 (56.04%), best:    5585/10000 (55.85%), error:     13688.40234, best error:     13246.45410 on epoch:    18, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1377.4248046875s, input_fired_time: 8.5625562668, output_fired_time: 6.2252168655, propagate_forward_time: 535.2543334961, propagate_backward_time: 817.4706420898, weight_update_time: 0.8220964074, other_time: 9.9121093750
epoch time: 111.3475952148s, input_fired_time: 0.8407592773, output_fired_time: 0.0000000000, propagate_forward_time: 108.8844146729, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6224212646
validation[          , genome  6400] predictions:    5480/  10000 (54.80%), best:    5585/10000 (55.85%), error:     13580.08496, best error:     13246.45410 on epoch:    18, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1367.6585693359s, input_fired_time: 8.4968919754, output_fired_time: 6.2707710266, propagate_forward_time: 523.8141479492, propagate_backward_time: 819.6079101562, weight_update_time: 0.8036697507, other_time: 9.4688110352
epoch time: 109.8506393433s, input_fired_time: 0.9127753973, output_fired_time: 0.0000000000, propagate_forward_time: 107.1845321655, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7533340454
validation[          , genome  6400] predictions:    5612/  10000 (56.12%), best:    5612/10000 (56.12%), error:     13059.85742, best error:     13059.85742 on epoch:    21, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1403.8026123047s, input_fired_time: 8.6372137070, output_fired_time: 6.3008975983, propagate_forward_time: 544.2984008789, propagate_backward_time: 834.4284057617, weight_update_time: 0.8226104379, other_time: 10.1376953125
epoch time: 114.4124145508s, input_fired_time: 0.9555550814, output_fired_time: 0.0000000000, propagate_forward_time: 111.6631240845, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7937316895
validation[          , genome  6400] predictions:    5565/  10000 (55.65%), best:    5612/10000 (56.12%), error:     13588.55469, best error:     13059.85742 on epoch:    21, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1405.3536376953s, input_fired_time: 8.7582645416, output_fired_time: 6.3102779388, propagate_forward_time: 545.7060546875, propagate_backward_time: 834.5214233398, weight_update_time: 0.8304745555, other_time: 10.0575561523
epoch time: 108.7140960693s, input_fired_time: 0.9290428758, output_fired_time: 0.0000000000, propagate_forward_time: 106.1687622070, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6162872314
validation[          , genome  6400] predictions:    5613/  10000 (56.13%), best:    5612/10000 (56.12%), error:     13348.63281, best error:     13059.85742 on epoch:    21, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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_1542692703_176_6400.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_176_6400_1_r383212915_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: 0.846925
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00364986
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000145994
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: 24
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 21
read number_validation_images: 10000
read best_validation_predictions: 5612
read best_validation_error: 13059.9
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: 6400
read normal distribution: '1 0 0'
generator_str: '1887343796'
read generator: 1887343796
read generated_by_map:
1 crossover 1
reading 98 nodes.
reading 407 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: 0.0684280395507812
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: 1405.58471679688s, input_fired_time: 8.72923564910889, output_fired_time: 6.22006130218506, propagate_forward_time: 543.234985351562, propagate_backward_time: 837.540893554688, weight_update_time: 0.801169037818909, other_time: 9.8594970703125
epoch time: 111.68815612793s, input_fired_time: 0.942983984947205, output_fired_time: 0, propagate_forward_time: 109.008979797363, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.73619079589844
validation[          , genome  6400] predictions:    5618/  10000 (56.18%), best:    5612/10000 (56.12%), error:     13245.74023, best error:     13059.85742 on epoch:    21, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1418.3273925781s, input_fired_time: 8.8940896988, output_fired_time: 6.4114894867, propagate_forward_time: 551.3317260742, propagate_backward_time: 841.2744750977, weight_update_time: 0.8597346544, other_time: 10.4156494141
epoch time: 117.6820831299s, input_fired_time: 0.9760589600, output_fired_time: 0.0000000000, propagate_forward_time: 114.8536453247, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8523788452
validation[          , genome  6400] predictions:    5615/  10000 (56.15%), best:    5612/10000 (56.12%), error:     13400.45898, best error:     13059.85742 on epoch:    21, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 1431.4635009766s, input_fired_time: 8.8433666229, output_fired_time: 6.3511381149, propagate_forward_time: 561.7061157227, propagate_backward_time: 843.7662353516, weight_update_time: 0.8714618087, other_time: 10.7965698242
epoch time: 122.8668441772s, input_fired_time: 0.9987540841, output_fired_time: 0.0000000000, propagate_forward_time: 119.9279403687, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9401473999
validation[          , genome  6400] predictions:    5643/  10000 (56.43%), best:    5612/10000 (56.12%), error:     13353.80273, best error:     13059.85742 on epoch:    21, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 1455.1346435547s, input_fired_time: 8.9772720337, output_fired_time: 6.5229220390, propagate_forward_time: 573.4805908203, propagate_backward_time: 854.9509887695, weight_update_time: 0.9083963633, other_time: 11.2028198242
epoch time: 123.6180191040s, input_fired_time: 1.0288186073, output_fired_time: 0.0000000000, propagate_forward_time: 120.4614181519, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1277847290
validation[          , genome  6400] predictions:    5475/  10000 (54.75%), best:    5612/10000 (56.12%), error:     13694.92969, best error:     13059.85742 on epoch:    21, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 1456.9832763672s, input_fired_time: 9.0385541916, output_fired_time: 6.5168404579, propagate_forward_time: 574.2568359375, propagate_backward_time: 855.8646240234, weight_update_time: 0.9195250869, other_time: 11.3063964844
epoch time: 105.1191558838s, input_fired_time: 0.9532415271, output_fired_time: 0.0000000000, propagate_forward_time: 102.3495559692, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8163604736
validation[          , genome  6400] predictions:    5713/  10000 (57.13%), best:    5713/10000 (57.13%), error:     13014.37695, best error:     13014.37695 on epoch:    28, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 1414.7010498047s, input_fired_time: 8.4748249054, output_fired_time: 6.3833575249, propagate_forward_time: 542.0990600586, propagate_backward_time: 847.1802978516, weight_update_time: 0.8633141518, other_time: 10.5635375977
epoch time: 120.5511474609s, input_fired_time: 1.0143250227, output_fired_time: 0.0000000000, propagate_forward_time: 117.5606460571, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9761734009
validation[          , genome  6400] predictions:    5788/  10000 (57.88%), best:    5713/10000 (57.13%), error:     13194.96094, best error:     13014.37695 on epoch:    28, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 1449.8594970703s, input_fired_time: 8.9672479630, output_fired_time: 6.4033436775, propagate_forward_time: 581.5451660156, propagate_backward_time: 841.4302368164, weight_update_time: 0.9255083799, other_time: 11.5134887695
epoch time: 127.0573959351s, input_fired_time: 1.0409407616, output_fired_time: 0.0000000000, propagate_forward_time: 123.9552001953, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0612564087
validation[          , genome  6400] predictions:    5747/  10000 (57.47%), best:    5747/10000 (57.47%), error:     12942.92383, best error:     12942.92383 on epoch:    30, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 1425.8120117188s, input_fired_time: 8.8839321136, output_fired_time: 6.4472069740, propagate_forward_time: 566.7304077148, propagate_backward_time: 832.4463500977, weight_update_time: 0.9349996448, other_time: 11.3040771484
epoch time: 114.4851455688s, input_fired_time: 1.0395089388, output_fired_time: 0.0000000000, propagate_forward_time: 111.5072784424, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9383544922
validation[          , genome  6400] predictions:    5620/  10000 (56.20%), best:    5747/10000 (57.47%), error:     13402.32324, best error:     12942.92383 on epoch:    30, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1496.6596679688s, input_fired_time: 9.1919431686, output_fired_time: 6.6526880264, propagate_forward_time: 602.1218261719, propagate_backward_time: 866.9385375977, weight_update_time: 0.9570782781, other_time: 11.7546997070
epoch time: 114.2076416016s, input_fired_time: 0.9746910334, output_fired_time: 0.0000000000, propagate_forward_time: 111.3149261475, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9180221558
validation[          , genome  6400] predictions:    5806/  10000 (58.06%), best:    5747/10000 (57.47%), error:     13091.61328, best error:     12942.92383 on epoch:    30, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1449.1138916016s, input_fired_time: 8.8517360687, output_fired_time: 6.3984289169, propagate_forward_time: 574.8742065430, propagate_backward_time: 847.7882690430, weight_update_time: 0.9017849565, other_time: 11.2012939453
epoch time: 123.5322723389s, input_fired_time: 1.0131535530, output_fired_time: 0.0000000000, propagate_forward_time: 120.5565643311, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9625549316
validation[          , genome  6400] predictions:    5889/  10000 (58.89%), best:    5889/10000 (58.89%), error:     12383.55859, best error:     12383.55859 on epoch:    33, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1435.5179443359s, input_fired_time: 9.0288257599, output_fired_time: 6.3808355331, propagate_forward_time: 563.2017211914, propagate_backward_time: 846.0323486328, weight_update_time: 0.8810546994, other_time: 10.8742065430
epoch time: 116.1553955078s, input_fired_time: 1.0203851461, output_fired_time: 0.0000000000, propagate_forward_time: 113.2474136353, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8875961304
validation[          , genome  6400] predictions:    5664/  10000 (56.64%), best:    5889/10000 (58.89%), error:     13236.93652, best error:     12383.55859 on epoch:    33, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1391.6944580078s, input_fired_time: 8.8635435104, output_fired_time: 6.2559514046, propagate_forward_time: 542.4178466797, propagate_backward_time: 823.7099609375, weight_update_time: 0.8599285483, other_time: 10.4471435547
epoch time: 105.6819915771s, input_fired_time: 0.9382474422, output_fired_time: 0.0000000000, propagate_forward_time: 103.0343856812, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7093582153
validation[          , genome  6400] predictions:    5892/  10000 (58.92%), best:    5889/10000 (58.89%), error:     12617.80469, best error:     12383.55859 on epoch:    33, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1409.2741699219s, input_fired_time: 8.9129886627, output_fired_time: 6.2899909019, propagate_forward_time: 555.8186645508, propagate_backward_time: 827.6756591797, weight_update_time: 0.8594333529, other_time: 10.5768432617
epoch time: 115.2054443359s, input_fired_time: 0.9811145067, output_fired_time: 0.0000000000, propagate_forward_time: 112.4138183594, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8105087280
validation[          , genome  6400] predictions:    5944/  10000 (59.44%), best:    5944/10000 (59.44%), error:     12322.30371, best error:     12322.30371 on epoch:    36, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1424.2135009766s, input_fired_time: 8.8380289078, output_fired_time: 6.2851428986, propagate_forward_time: 559.1001586914, propagate_backward_time: 839.6240844727, weight_update_time: 0.8376057148, other_time: 10.3660888672
epoch time: 113.6949844360s, input_fired_time: 0.9748716950, output_fired_time: 0.0000000000, propagate_forward_time: 110.9404296875, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7796859741
validation[          , genome  6400] predictions:    5799/  10000 (57.99%), best:    5944/10000 (59.44%), error:     12530.15527, best error:     12322.30371 on epoch:    36, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1812.0081787109s, input_fired_time: 8.8779220581, output_fired_time: 6.2125101089, propagate_forward_time: 961.1000976562, propagate_backward_time: 825.7312622070, weight_update_time: 0.8275904059, other_time: 10.0863647461
epoch time: 113.1777114868s, input_fired_time: 0.9862818718, output_fired_time: 0.0000000000, propagate_forward_time: 110.4088745117, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7825546265
validation[          , genome  6400] predictions:    5900/  10000 (59.00%), best:    5944/10000 (59.44%), error:     12734.91699, best error:     12322.30371 on epoch:    36, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1411.5119628906s, input_fired_time: 8.8243160248, output_fired_time: 6.2344231606, propagate_forward_time: 547.7512817383, propagate_backward_time: 838.6090698242, weight_update_time: 0.8080989718, other_time: 10.0928955078
epoch time: 109.7079467773s, input_fired_time: 0.9049434066, output_fired_time: 0.0000000000, propagate_forward_time: 107.2432937622, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5597076416
validation[          , genome  6400] predictions:    5998/  10000 (59.98%), best:    5998/10000 (59.98%), error:     12121.59473, best error:     12121.59473 on epoch:    39, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1423.4155273438s, input_fired_time: 8.8706951141, output_fired_time: 6.2241363525, propagate_forward_time: 555.5153198242, propagate_backward_time: 842.7736206055, weight_update_time: 0.7976152897, other_time: 10.0317382812
epoch time: 114.1851501465s, input_fired_time: 1.0016084909, output_fired_time: 0.0000000000, propagate_forward_time: 111.4122848511, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7712554932
validation[          , genome  6400] predictions:    6051/  10000 (60.51%), best:    6051/10000 (60.51%), error:     12023.30273, best error:     12023.30273 on epoch:    40, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1430.5699462891s, input_fired_time: 8.9697494507, output_fired_time: 6.2553195953, propagate_forward_time: 560.6837158203, propagate_backward_time: 844.1224365234, weight_update_time: 0.8296002746, other_time: 10.5386962891
epoch time: 116.2603149414s, input_fired_time: 1.0192308426, output_fired_time: 0.0000000000, propagate_forward_time: 113.3748092651, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8662719727
validation[          , genome  6400] predictions:    5893/  10000 (58.93%), best:    6051/10000 (60.51%), error:     12449.35742, best error:     12023.30273 on epoch:    40, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1437.7414550781s, input_fired_time: 9.0885982513, output_fired_time: 6.3795952797, propagate_forward_time: 564.4196777344, propagate_backward_time: 846.8499755859, weight_update_time: 0.8932887912, other_time: 11.0035400391
epoch time: 110.1113433838s, input_fired_time: 0.9308085442, output_fired_time: 0.0000000000, propagate_forward_time: 107.3754806519, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8050537109
validation[          , genome  6400] predictions:    5936/  10000 (59.36%), best:    6051/10000 (60.51%), error:     12408.05078, best error:     12023.30273 on epoch:    40, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1438.2337646484s, input_fired_time: 9.0310211182, output_fired_time: 6.3953199387, propagate_forward_time: 569.9353637695, propagate_backward_time: 841.6836547852, weight_update_time: 0.9103294015, other_time: 11.1884765625
epoch time: 115.0863037109s, input_fired_time: 1.0217828751, output_fired_time: 0.0000000000, propagate_forward_time: 112.2027435303, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8617782593
validation[          , genome  6400] predictions:    5871/  10000 (58.71%), best:    6051/10000 (60.51%), error:     13339.86035, best error:     12023.30273 on epoch:    40, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1439.2968750000s, input_fired_time: 9.0435609818, output_fired_time: 6.4425725937, propagate_forward_time: 573.7147216797, propagate_backward_time: 838.8852539062, weight_update_time: 0.9182604551, other_time: 11.2106933594
epoch time: 116.8396530151s, input_fired_time: 1.0312259197, output_fired_time: 0.0000000000, propagate_forward_time: 113.8510971069, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9573287964
validation[          , genome  6400] predictions:    5968/  10000 (59.68%), best:    6051/10000 (60.51%), error:     12272.28906, best error:     12023.30273 on epoch:    40, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1433.6127929688s, input_fired_time: 9.0782480240, output_fired_time: 6.3492050171, propagate_forward_time: 567.3812255859, propagate_backward_time: 839.4561157227, weight_update_time: 0.9167962074, other_time: 11.3479614258
epoch time: 117.0864410400s, input_fired_time: 1.0349601507, output_fired_time: 0.0000000000, propagate_forward_time: 114.1049118042, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9465713501
validation[          , genome  6400] predictions:    6053/  10000 (60.53%), best:    6051/10000 (60.51%), error:     12258.32031, best error:     12023.30273 on epoch:    40, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1475.6763916016s, input_fired_time: 9.2256193161, output_fired_time: 6.5229206085, propagate_forward_time: 590.3975830078, propagate_backward_time: 857.8435058594, weight_update_time: 0.9461664557, other_time: 11.6867675781
epoch time: 132.1335906982s, input_fired_time: 1.1400321722, output_fired_time: 0.0000000000, propagate_forward_time: 128.8472747803, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1462860107
validation[          , genome  6400] predictions:    5960/  10000 (59.60%), best:    6051/10000 (60.51%), error:     12222.73340, best error:     12023.30273 on epoch:    40, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1501.5742187500s, input_fired_time: 9.3310108185, output_fired_time: 6.7402138710, propagate_forward_time: 600.4448242188, propagate_backward_time: 873.2784423828, weight_update_time: 0.9515981078, other_time: 11.7796630859
epoch time: 110.3785247803s, input_fired_time: 0.9504098892, output_fired_time: 0.0000000000, propagate_forward_time: 107.5595321655, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8685836792
validation[          , genome  6400] predictions:    6025/  10000 (60.25%), best:    6051/10000 (60.51%), error:     12176.86816, best error:     12023.30273 on epoch:    40, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1503.8625488281s, input_fired_time: 9.3063802719, output_fired_time: 6.7186598778, propagate_forward_time: 595.4454956055, propagate_backward_time: 880.7714843750, weight_update_time: 0.9533563852, other_time: 11.6205444336
epoch time: 130.7615661621s, input_fired_time: 1.1217967272, output_fired_time: 0.0000000000, propagate_forward_time: 127.4818649292, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1579055786
validation[          , genome  6400] predictions:    6025/  10000 (60.25%), best:    6051/10000 (60.51%), error:     12264.94238, best error:     12023.30273 on epoch:    40, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1487.8974609375s, input_fired_time: 9.3327045441, output_fired_time: 6.5489788055, propagate_forward_time: 601.1621093750, propagate_backward_time: 859.0170288086, weight_update_time: 0.9556849003, other_time: 11.8366088867
epoch time: 117.9256591797s, input_fired_time: 1.0457009077, output_fired_time: 0.0000000000, propagate_forward_time: 114.9413070679, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9386520386
validation[          , genome  6400] predictions:    5979/  10000 (59.79%), best:    6051/10000 (60.51%), error:     12161.90625, best error:     12023.30273 on epoch:    40, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1512.5334472656s, input_fired_time: 9.6774024963, output_fired_time: 6.6931018829, propagate_forward_time: 615.1119384766, propagate_backward_time: 868.9616088867, weight_update_time: 0.9752250910, other_time: 12.0894165039
epoch time: 153.1308593750s, input_fired_time: 1.1995397806, output_fired_time: 0.0000000000, propagate_forward_time: 149.6003265381, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3309936523
validation[          , genome  6400] predictions:    6054/  10000 (60.54%), best:    6054/10000 (60.54%), error:     12010.30371, best error:     12010.30371 on epoch:    50, epoch:   50/50, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 735.6530761719s, input_fired_time: 5.9044704437, output_fired_time: 0.0000000000, propagate_forward_time: 718.3314819336, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.4171142578
best training[          , genome  6400] predictions:   36733/  50000 (73.47%), best:    6054/10000 (60.54%), error:     38026.28906, best error:     12010.30371 on epoch:    50, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 152.0706481934s, input_fired_time: 1.1996548176, output_fired_time: 0.0000000000, propagate_forward_time: 148.5602264404, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3107604980
   testing[          , genome  6400] predictions:    6054/  10000 (60.54%), best:    6054/10000 (60.54%), error:     12010.30371, best error:     12010.30371 on epoch:    50, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
04:57:57 (2935): called boinc_finish(0)

</stderr_txt>
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