Nameexact_genome_1542649503_174_6337_1
Workunit4099390
Created20 Nov 2018, 2:10:56 UTC
Sent20 Nov 2018, 2:11:17 UTC
Report deadline23 Dec 2018, 9:08:21 UTC
Received21 Nov 2018, 19:54:01 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID80138
Run time8 hours 42 min 14 sec
CPU time8 hours 35 min 56 sec
Validate stateValid
Credit8,322.41
Device peak FLOPS4.49 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size520.76 MB
Peak swap size540.59 MB
Peak disk usage8.05 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
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_1542649503_174_6337.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_174_6337_1_r1476377633_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542649503_174_6337.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: 6337
read normal distribution: '1 -0.854661226272583 -2.0510106086731'
generator_str: '1475669459'
read generator: 1475669459
read generated_by_map:
1 add_node 1
reading 75 nodes.
reading 249 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: 0.0684280395507813
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!
generator min: 1, generator max: 2147483646
pre shuffle 1: 287958210
post shuffle 1: 1801159825
epoch time: 568.396606445313s, input_fired_time: 6.07627058029175, output_fired_time: 4.04235363006592, propagate_forward_time: 159.111755371094, propagate_backward_time: 392.902252197266, weight_update_time: 0.672432899475098, other_time: 6.26394653320313
epoch time: 33.5456047058105s, input_fired_time: 0.619355082511902, output_fired_time: 0, propagate_forward_time: 31.8322601318359, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.09399032592773
validation[          , genome  6337] predictions:    4889/  10000 (48.89%), best:    4889/10000 (48.89%), error:     17021.81055, best error:     17021.81055 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 568.9940795898s, input_fired_time: 5.9862146378, output_fired_time: 4.0444331169, propagate_forward_time: 159.3517456055, propagate_backward_time: 393.1952514648, weight_update_time: 0.6729922891, other_time: 6.4164428711
epoch time: 33.5741577148s, input_fired_time: 0.6165523529, output_fired_time: 0.0000000000, propagate_forward_time: 31.8583087921, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0992946625
validation[          , genome  6337] predictions:    4888/  10000 (48.88%), best:    4888/10000 (48.88%), error:     16269.60547, best error:     16269.60547 on epoch:     1, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 568.8829956055s, input_fired_time: 5.9062905312, output_fired_time: 4.0419621468, propagate_forward_time: 159.3993988037, propagate_backward_time: 393.0415649414, weight_update_time: 0.6717506647, other_time: 6.4937133789
epoch time: 33.5938796997s, input_fired_time: 0.6069110632, output_fired_time: 0.0000000000, propagate_forward_time: 31.8945865631, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0923824310
validation[          , genome  6337] predictions:    4901/  10000 (49.01%), best:    4888/10000 (48.88%), error:     16359.09668, best error:     16269.60547 on epoch:     1, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 568.2871093750s, input_fired_time: 5.8599691391, output_fired_time: 4.0332889557, propagate_forward_time: 159.2292022705, propagate_backward_time: 392.6954345703, weight_update_time: 0.6734560728, other_time: 6.4692382813
epoch time: 33.5496139526s, input_fired_time: 0.5970089436, output_fired_time: 0.0000000000, propagate_forward_time: 31.8495578766, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1030483246
validation[          , genome  6337] predictions:    4765/  10000 (47.65%), best:    4888/10000 (48.88%), error:     17038.62109, best error:     16269.60547 on epoch:     1, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 568.8773193359s, input_fired_time: 5.8587713242, output_fired_time: 4.0452284813, propagate_forward_time: 159.3391113281, propagate_backward_time: 393.2239685059, weight_update_time: 0.6724405289, other_time: 6.4102478027
epoch time: 33.5039939880s, input_fired_time: 0.5976364017, output_fired_time: 0.0000000000, propagate_forward_time: 31.8106803894, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0956764221
validation[          , genome  6337] predictions:    5074/  10000 (50.74%), best:    5074/10000 (50.74%), error:     15832.42969, best error:     15832.42969 on epoch:     4, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 568.9185180664s, input_fired_time: 5.8652973175, output_fired_time: 4.0426788330, propagate_forward_time: 159.4862060547, propagate_backward_time: 393.0700683594, weight_update_time: 0.6744676828, other_time: 6.4542846680
epoch time: 33.5700454712s, input_fired_time: 0.5990965366, output_fired_time: 0.0000000000, propagate_forward_time: 31.8777122498, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0932350159
validation[          , genome  6337] predictions:    5037/  10000 (50.37%), best:    5037/10000 (50.37%), error:     15346.76172, best error:     15346.76172 on epoch:     5, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 570.9974975586s, input_fired_time: 5.9058213234, output_fired_time: 4.0609774590, propagate_forward_time: 160.2118682861, propagate_backward_time: 394.3130798340, weight_update_time: 0.6742755771, other_time: 6.5057678223
epoch time: 33.7374687195s, input_fired_time: 0.6031508446, output_fired_time: 0.0000000000, propagate_forward_time: 32.0297737122, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1045455933
validation[          , genome  6337] predictions:    5182/  10000 (51.82%), best:    5182/10000 (51.82%), error:     14641.90234, best error:     14641.90234 on epoch:     6, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 579.8037719727s, input_fired_time: 5.9874048233, output_fired_time: 4.1606149673, propagate_forward_time: 162.4598846436, propagate_backward_time: 400.9309997559, weight_update_time: 0.6849774122, other_time: 6.2648010254
epoch time: 33.6684303284s, input_fired_time: 0.5987958908, output_fired_time: 0.0000000000, propagate_forward_time: 31.9792079926, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0904254913
validation[          , genome  6337] predictions:    5200/  10000 (52.00%), best:    5200/10000 (52.00%), error:     14572.65234, best error:     14572.65234 on epoch:     7, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 577.6920166016s, input_fired_time: 5.9823408127, output_fired_time: 4.1319274902, propagate_forward_time: 161.7718658447, propagate_backward_time: 399.7110595703, weight_update_time: 0.6875909567, other_time: 6.0948486328
epoch time: 33.9824371338s, input_fired_time: 0.6236398220, output_fired_time: 0.0000000000, propagate_forward_time: 32.3324928284, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0263061523
validation[          , genome  6337] predictions:    4942/  10000 (49.42%), best:    5200/10000 (52.00%), error:     16180.65918, best error:     14572.65234 on epoch:     7, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 580.8214111328s, input_fired_time: 6.0134868622, output_fired_time: 4.1620311737, propagate_forward_time: 162.9735412598, propagate_backward_time: 401.4788208008, weight_update_time: 0.7038331032, other_time: 6.1935119629
epoch time: 33.7912330627s, input_fired_time: 0.5944772363, output_fired_time: 0.0000000000, propagate_forward_time: 32.0868377686, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1099166870
validation[          , genome  6337] predictions:    5278/  10000 (52.78%), best:    5278/10000 (52.78%), error:     14513.45020, best error:     14513.45020 on epoch:     9, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 574.4042358398s, input_fired_time: 5.9536719322, output_fired_time: 4.1451926231, propagate_forward_time: 161.1747741699, propagate_backward_time: 397.1118774414, weight_update_time: 0.6800743937, other_time: 6.0187072754
epoch time: 33.8481140137s, input_fired_time: 0.6237729788, output_fired_time: 0.0000000000, propagate_forward_time: 32.1266174316, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0977249146
validation[          , genome  6337] predictions:    5171/  10000 (51.71%), best:    5278/10000 (52.78%), error:     14895.73535, best error:     14513.45020 on epoch:     9, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 572.9512329102s, input_fired_time: 5.9346690178, output_fired_time: 4.0973248482, propagate_forward_time: 160.4958343506, propagate_backward_time: 396.1894226074, weight_update_time: 0.6806427836, other_time: 6.2339172363
epoch time: 33.7002372742s, input_fired_time: 0.6246778965, output_fired_time: 0.0000000000, propagate_forward_time: 31.9818153381, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0937423706
validation[          , genome  6337] predictions:    5335/  10000 (53.35%), best:    5278/10000 (52.78%), error:     14546.57910, best error:     14513.45020 on epoch:     9, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 574.7852783203s, input_fired_time: 5.9872765541, output_fired_time: 4.1174077988, propagate_forward_time: 161.2146453857, propagate_backward_time: 397.3727416992, weight_update_time: 0.6823039651, other_time: 6.0931396484
epoch time: 33.8858833313s, input_fired_time: 0.5963328481, output_fired_time: 0.0000000000, propagate_forward_time: 32.1800308228, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1095199585
validation[          , genome  6337] predictions:    5268/  10000 (52.68%), best:    5268/10000 (52.68%), error:     14424.52930, best error:     14424.52930 on epoch:    12, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 573.1351318359s, input_fired_time: 5.9475040436, output_fired_time: 4.1702408791, propagate_forward_time: 160.6024627686, propagate_backward_time: 396.4144897461, weight_update_time: 0.6794823408, other_time: 6.0004272461
epoch time: 33.7877769470s, input_fired_time: 0.5981261134, output_fired_time: 0.0000000000, propagate_forward_time: 32.0830497742, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1066017151
validation[          , genome  6337] predictions:    5260/  10000 (52.60%), best:    5268/10000 (52.68%), error:     14515.88379, best error:     14424.52930 on epoch:    12, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 573.2743530273s, input_fired_time: 5.9620590210, output_fired_time: 4.0977797508, propagate_forward_time: 160.7527313232, propagate_backward_time: 396.4420776367, weight_update_time: 0.6809246540, other_time: 6.0197143555
epoch time: 33.6248397827s, input_fired_time: 0.6139407754, output_fired_time: 0.0000000000, propagate_forward_time: 31.9719505310, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0389480591
validation[          , genome  6337] predictions:    5420/  10000 (54.20%), best:    5268/10000 (52.68%), error:     14558.74609, best error:     14424.52930 on epoch:    12, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 573.3955688477s, input_fired_time: 5.9707036018, output_fired_time: 4.0930571556, propagate_forward_time: 160.8715820313, propagate_backward_time: 396.3888549805, weight_update_time: 0.6812127233, other_time: 6.0713500977
epoch time: 33.6653442383s, input_fired_time: 0.6281589866, output_fired_time: 0.0000000000, propagate_forward_time: 32.0346412659, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0025444031
validation[          , genome  6337] predictions:    5467/  10000 (54.67%), best:    5467/10000 (54.67%), error:     13961.90137, best error:     13961.90137 on epoch:    15, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 573.4519653320s, input_fired_time: 5.9778399467, output_fired_time: 4.0980110168, propagate_forward_time: 160.8808288574, propagate_backward_time: 396.3829956055, weight_update_time: 0.6820144057, other_time: 6.1122741699
epoch time: 33.9447937012s, input_fired_time: 0.6229400039, output_fired_time: 0.0000000000, propagate_forward_time: 32.2201042175, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1017494202
validation[          , genome  6337] predictions:    5411/  10000 (54.11%), best:    5411/10000 (54.11%), error:     13870.98145, best error:     13870.98145 on epoch:    16, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 574.7377929688s, input_fired_time: 6.0011014938, output_fired_time: 4.1178302765, propagate_forward_time: 161.1753845215, propagate_backward_time: 397.4072265625, weight_update_time: 0.6809073687, other_time: 6.0362243652
epoch time: 33.7874221802s, input_fired_time: 0.6175563335, output_fired_time: 0.0000000000, propagate_forward_time: 32.0795669556, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0902976990
validation[          , genome  6337] predictions:    5439/  10000 (54.39%), best:    5411/10000 (54.11%), error:     14252.63672, best error:     13870.98145 on epoch:    16, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 574.7178344727s, input_fired_time: 5.9918642044, output_fired_time: 4.1249151230, propagate_forward_time: 161.0616302490, propagate_backward_time: 397.2943420410, weight_update_time: 0.6793309450, other_time: 6.2450256348
epoch time: 33.7496910095s, input_fired_time: 0.6221267581, output_fired_time: 0.0000000000, propagate_forward_time: 32.0662689209, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0612945557
validation[          , genome  6337] predictions:    5254/  10000 (52.54%), best:    5411/10000 (54.11%), error:     14915.69824, best error:     13870.98145 on epoch:    16, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 575.0578002930s, input_fired_time: 6.0066361427, output_fired_time: 4.1175599098, propagate_forward_time: 161.1109466553, propagate_backward_time: 397.7870483398, weight_update_time: 0.6805834174, other_time: 6.0355834961
epoch time: 33.6261253357s, input_fired_time: 0.6211492419, output_fired_time: 0.0000000000, propagate_forward_time: 32.0067024231, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9982719421
validation[          , genome  6337] predictions:    5562/  10000 (55.62%), best:    5562/10000 (55.62%), error:     13563.26563, best error:     13563.26563 on epoch:    19, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 574.8275756836s, input_fired_time: 5.9894356728, output_fired_time: 4.1015977859, propagate_forward_time: 161.0186614990, propagate_backward_time: 397.5747680664, weight_update_time: 0.6806468964, other_time: 6.1430664063
epoch time: 33.8117752075s, input_fired_time: 0.6257470250, output_fired_time: 0.0000000000, propagate_forward_time: 32.0796089172, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1064186096
validation[          , genome  6337] predictions:    5438/  10000 (54.38%), best:    5562/10000 (55.62%), error:     14062.74219, best error:     13563.26563 on epoch:    19, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 573.3123168945s, input_fired_time: 5.9719810486, output_fired_time: 4.0979175568, propagate_forward_time: 160.6534271240, propagate_backward_time: 396.0526428223, weight_update_time: 0.6801805496, other_time: 6.5363464355
epoch time: 33.6992683411s, input_fired_time: 0.6132908463, output_fired_time: 0.0000000000, propagate_forward_time: 31.9987087250, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0872669220
validation[          , genome  6337] predictions:    5698/  10000 (56.98%), best:    5698/10000 (56.98%), error:     12927.17676, best error:     12927.17676 on epoch:    21, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 575.7678833008s, input_fired_time: 6.0218005180, output_fired_time: 4.1230783463, propagate_forward_time: 161.3120727539, propagate_backward_time: 397.7789306641, weight_update_time: 0.6841151714, other_time: 6.5319824219
epoch time: 34.3735580444s, input_fired_time: 0.6442484856, output_fired_time: 0.0000000000, propagate_forward_time: 32.5807456970, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1485633850
validation[          , genome  6337] predictions:    5532/  10000 (55.32%), best:    5698/10000 (56.98%), error:     13526.07227, best error:     12927.17676 on epoch:    21, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 575.4031982422s, input_fired_time: 6.0360541344, output_fired_time: 4.1144537926, propagate_forward_time: 161.1475067139, propagate_backward_time: 397.9291076660, weight_update_time: 0.6822532415, other_time: 6.1760559082
epoch time: 34.0136032104s, input_fired_time: 0.6159470081, output_fired_time: 0.0000000000, propagate_forward_time: 32.2882003784, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1094551086
validation[          , genome  6337] predictions:    5467/  10000 (54.67%), best:    5698/10000 (56.98%), error:     14038.30273, best error:     12927.17676 on epoch:    21, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 577.0025024414s, input_fired_time: 6.0538921356, output_fired_time: 4.1236939430, propagate_forward_time: 161.6432647705, propagate_backward_time: 398.5728149414, weight_update_time: 0.6848950982, other_time: 6.6088256836
epoch time: 33.7941322327s, input_fired_time: 0.6319980025, output_fired_time: 0.0000000000, propagate_forward_time: 31.9966030121, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1655330658
validation[          , genome  6337] predictions:    5566/  10000 (55.66%), best:    5698/10000 (56.98%), error:     13553.19824, best error:     12927.17676 on epoch:    21, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 574.4615478516s, input_fired_time: 6.0390915871, output_fired_time: 4.1227302551, propagate_forward_time: 160.7581939697, propagate_backward_time: 397.2589416504, weight_update_time: 0.6797394156, other_time: 6.2826232910
epoch time: 34.2339630127s, input_fired_time: 0.6389915347, output_fired_time: 0.0000000000, propagate_forward_time: 32.4832725525, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1116981506
validation[          , genome  6337] predictions:    5534/  10000 (55.34%), best:    5698/10000 (56.98%), error:     13425.45898, best error:     12927.17676 on epoch:    21, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 573.8312377930s, input_fired_time: 6.0200920105, output_fired_time: 4.1009535789, propagate_forward_time: 160.7703552246, propagate_backward_time: 396.7893066406, weight_update_time: 0.6783105135, other_time: 6.1505432129
epoch time: 33.7790107727s, input_fired_time: 0.6173900962, output_fired_time: 0.0000000000, propagate_forward_time: 32.0583801270, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1032409668
validation[          , genome  6337] predictions:    5737/  10000 (57.37%), best:    5698/10000 (56.98%), error:     12959.86621, best error:     12927.17676 on epoch:    21, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 578.5399169922s, input_fired_time: 6.1213412285, output_fired_time: 4.1353754997, propagate_forward_time: 162.1950988770, propagate_backward_time: 399.5448303223, weight_update_time: 0.6923050284, other_time: 6.5432739258
epoch time: 33.7733154297s, input_fired_time: 0.6354888082, output_fired_time: 0.0000000000, propagate_forward_time: 32.0400886536, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0977363586
validation[          , genome  6337] predictions:    5650/  10000 (56.50%), best:    5698/10000 (56.98%), error:     13224.48828, best error:     12927.17676 on epoch:    21, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 573.3038940430s, input_fired_time: 6.0334906578, output_fired_time: 4.1025757790, propagate_forward_time: 160.5980377197, propagate_backward_time: 396.5032348633, weight_update_time: 0.6802515984, other_time: 6.0665283203
epoch time: 33.8593177795s, input_fired_time: 0.6386947036, output_fired_time: 0.0000000000, propagate_forward_time: 32.1772575378, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0433654785
validation[          , genome  6337] predictions:    5650/  10000 (56.50%), best:    5698/10000 (56.98%), error:     13024.33594, best error:     12927.17676 on epoch:    21, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 573.3942260742s, input_fired_time: 6.0689940453, output_fired_time: 4.0977640152, propagate_forward_time: 160.7018585205, propagate_backward_time: 396.5044860840, weight_update_time: 0.6792659163, other_time: 6.0211486816
epoch time: 34.1100769043s, input_fired_time: 0.6353054643, output_fired_time: 0.0000000000, propagate_forward_time: 32.4600982666, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0146713257
validation[          , genome  6337] predictions:    5601/  10000 (56.01%), best:    5698/10000 (56.98%), error:     13301.81250, best error:     12927.17676 on epoch:    21, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 574.4874267578s, input_fired_time: 6.0823531151, output_fired_time: 4.1086177826, propagate_forward_time: 160.9877471924, propagate_backward_time: 397.2763671875, weight_update_time: 0.6821349859, other_time: 6.0323486328
epoch time: 33.7306480408s, input_fired_time: 0.6347550750, output_fired_time: 0.0000000000, propagate_forward_time: 32.0000190735, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0958747864
validation[          , genome  6337] predictions:    5766/  10000 (57.66%), best:    5766/10000 (57.66%), error:     12795.48535, best error:     12795.48535 on epoch:    30, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 572.5721435547s, input_fired_time: 6.0563063622, output_fired_time: 4.0942993164, propagate_forward_time: 160.6575927734, propagate_backward_time: 395.7598571777, weight_update_time: 0.6806415915, other_time: 6.0040588379
epoch time: 35.2396812439s, input_fired_time: 0.6478490233, output_fired_time: 0.0000000000, propagate_forward_time: 33.4428253174, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1490058899
validation[          , genome  6337] predictions:    5692/  10000 (56.92%), best:    5766/10000 (57.66%), error:     12892.90625, best error:     12795.48535 on epoch:    30, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 573.6542968750s, input_fired_time: 6.0796542168, output_fired_time: 4.1161303520, propagate_forward_time: 160.8994293213, propagate_backward_time: 396.5219726563, weight_update_time: 0.6818742156, other_time: 6.0371093750
epoch time: 33.7236900330s, input_fired_time: 0.6325600147, output_fired_time: 0.0000000000, propagate_forward_time: 32.0838623047, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0072669983
validation[          , genome  6337] predictions:    5745/  10000 (57.45%), best:    5766/10000 (57.66%), error:     13033.90234, best error:     12795.48535 on epoch:    30, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 572.0838623047s, input_fired_time: 6.0755157471, output_fired_time: 4.0931034088, propagate_forward_time: 160.3870697021, propagate_backward_time: 395.5144348145, weight_update_time: 0.6897161007, other_time: 6.0137634277
epoch time: 33.6615638733s, input_fired_time: 0.6340510249, output_fired_time: 0.0000000000, propagate_forward_time: 32.0263252258, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0011863708
validation[          , genome  6337] predictions:    5779/  10000 (57.79%), best:    5766/10000 (57.66%), error:     12820.00000, best error:     12795.48535 on epoch:    30, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 575.0181274414s, input_fired_time: 6.0802979469, output_fired_time: 4.1077661514, propagate_forward_time: 160.9695434570, propagate_backward_time: 397.7799682617, weight_update_time: 0.6855933070, other_time: 6.0805053711
epoch time: 33.9951019287s, input_fired_time: 0.6405990124, output_fired_time: 0.0000000000, propagate_forward_time: 32.2474708557, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1070327759
validation[          , genome  6337] predictions:    5795/  10000 (57.95%), best:    5795/10000 (57.95%), error:     12494.11914, best error:     12494.11914 on epoch:    34, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 579.6867065430s, input_fired_time: 6.1929082870, output_fired_time: 4.1442217827, propagate_forward_time: 162.5957183838, propagate_backward_time: 400.2821655273, weight_update_time: 0.6875273585, other_time: 6.4716796875
epoch time: 34.0798988342s, input_fired_time: 0.6345354915, output_fired_time: 0.0000000000, propagate_forward_time: 32.3319091797, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1134529114
validation[          , genome  6337] predictions:    5687/  10000 (56.87%), best:    5795/10000 (57.95%), error:     13242.42578, best error:     12494.11914 on epoch:    34, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 580.0125732422s, input_fired_time: 6.2007207870, output_fired_time: 4.1609177589, propagate_forward_time: 162.4538574219, propagate_backward_time: 401.0319824219, weight_update_time: 0.6901951432, other_time: 6.1651000977
epoch time: 34.7423744202s, input_fired_time: 0.6667417884, output_fired_time: 0.0000000000, propagate_forward_time: 32.9333152771, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1423187256
validation[          , genome  6337] predictions:    5826/  10000 (58.26%), best:    5795/10000 (57.95%), error:     12558.80957, best error:     12494.11914 on epoch:    34, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 578.3685913086s, input_fired_time: 6.1835150719, output_fired_time: 4.1315426826, propagate_forward_time: 162.3411712646, propagate_backward_time: 399.4907531738, weight_update_time: 0.6851724982, other_time: 6.2215881348
epoch time: 34.8444366455s, input_fired_time: 0.6607903838, output_fired_time: 0.0000000000, propagate_forward_time: 32.9826164246, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2010307312
validation[          , genome  6337] predictions:    5832/  10000 (58.32%), best:    5832/10000 (58.32%), error:     12447.91699, best error:     12447.91699 on epoch:    37, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 575.1001586914s, input_fired_time: 6.1214680672, output_fired_time: 4.1084618568, propagate_forward_time: 160.9331512451, propagate_backward_time: 397.8356628418, weight_update_time: 0.6787359715, other_time: 6.1014099121
epoch time: 33.9509963989s, input_fired_time: 0.6507785916, output_fired_time: 0.0000000000, propagate_forward_time: 32.2875518799, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0126647949
validation[          , genome  6337] predictions:    5820/  10000 (58.20%), best:    5832/10000 (58.32%), error:     12711.40430, best error:     12447.91699 on epoch:    37, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 573.5430297852s, input_fired_time: 6.1178450584, output_fired_time: 4.1475620270, propagate_forward_time: 160.6459197998, propagate_backward_time: 396.5697937012, weight_update_time: 0.6813827753, other_time: 6.0618591309
epoch time: 33.5989418030s, input_fired_time: 0.6457023621, output_fired_time: 0.0000000000, propagate_forward_time: 31.8464279175, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1068115234
validation[          , genome  6337] predictions:    5900/  10000 (59.00%), best:    5900/10000 (59.00%), error:     12319.08301, best error:     12319.08301 on epoch:    39, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 575.3292846680s, input_fired_time: 6.1742320061, output_fired_time: 4.1235394478, propagate_forward_time: 161.3501739502, propagate_backward_time: 397.5704956055, weight_update_time: 0.6874048114, other_time: 6.1108398438
epoch time: 33.9061088562s, input_fired_time: 0.6478379965, output_fired_time: 0.0000000000, propagate_forward_time: 32.1409683228, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1173019409
validation[          , genome  6337] predictions:    5803/  10000 (58.03%), best:    5900/10000 (59.00%), error:     12660.31641, best error:     12319.08301 on epoch:    39, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 577.4033203125s, input_fired_time: 6.1985154152, output_fired_time: 4.1341528893, propagate_forward_time: 161.9270172119, propagate_backward_time: 399.0227050781, weight_update_time: 0.6889085770, other_time: 6.1209716797
epoch time: 34.3335685730s, input_fired_time: 0.6441360712, output_fired_time: 0.0000000000, propagate_forward_time: 32.6060256958, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0834083557
validation[          , genome  6337] predictions:    5647/  10000 (56.47%), best:    5900/10000 (59.00%), error:     13066.10059, best error:     12319.08301 on epoch:    39, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 575.1046752930s, input_fired_time: 6.1638989449, output_fired_time: 4.1265931129, propagate_forward_time: 161.0863189697, propagate_backward_time: 397.6233215332, weight_update_time: 0.6821597219, other_time: 6.1045837402
epoch time: 34.9086875916s, input_fired_time: 0.6592571735, output_fired_time: 0.0000000000, propagate_forward_time: 33.2080650330, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0413665771
validation[          , genome  6337] predictions:    5832/  10000 (58.32%), best:    5900/10000 (59.00%), error:     12591.30762, best error:     12319.08301 on epoch:    39, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 580.3982543945s, input_fired_time: 6.2093753815, output_fired_time: 4.1625413895, propagate_forward_time: 162.6355133057, propagate_backward_time: 400.9493713379, weight_update_time: 0.6928378940, other_time: 6.4414978027
epoch time: 33.9222259521s, input_fired_time: 0.6516822577, output_fired_time: 0.0000000000, propagate_forward_time: 32.1517448425, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1187973022
validation[          , genome  6337] predictions:    5881/  10000 (58.81%), best:    5900/10000 (59.00%), error:     12434.67871, best error:     12319.08301 on epoch:    39, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 576.7327270508s, input_fired_time: 6.1600465775, output_fired_time: 4.1493868828, propagate_forward_time: 161.4160614014, propagate_backward_time: 398.9101562500, weight_update_time: 0.6878767610, other_time: 6.0970458984
epoch time: 33.9709815979s, input_fired_time: 0.6438003182, output_fired_time: 0.0000000000, propagate_forward_time: 32.2196617126, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1075210571
validation[          , genome  6337] predictions:    5905/  10000 (59.05%), best:    5900/10000 (59.00%), error:     12338.62207, best error:     12319.08301 on epoch:    39, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 578.3485107422s, input_fired_time: 6.2041163445, output_fired_time: 4.1479201317, propagate_forward_time: 162.0943450928, propagate_backward_time: 399.7055053711, weight_update_time: 0.6883025765, other_time: 6.1965942383
epoch time: 34.4925994873s, input_fired_time: 0.6670547128, output_fired_time: 0.0000000000, propagate_forward_time: 32.6741600037, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1513862610
validation[          , genome  6337] predictions:    5908/  10000 (59.08%), best:    5908/10000 (59.08%), error:     12203.36719, best error:     12203.36719 on epoch:    45, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 578.4879760742s, input_fired_time: 6.2073645592, output_fired_time: 4.1353292465, propagate_forward_time: 161.9903106689, propagate_backward_time: 399.9987487793, weight_update_time: 0.6857472658, other_time: 6.1562805176
epoch time: 33.7688102722s, input_fired_time: 0.6526365280, output_fired_time: 0.0000000000, propagate_forward_time: 32.1082725525, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0079002380
validation[          , genome  6337] predictions:    5868/  10000 (58.68%), best:    5908/10000 (59.08%), error:     12503.03320, best error:     12203.36719 on epoch:    45, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 579.2805786133s, input_fired_time: 6.2242193222, output_fired_time: 4.1244883537, propagate_forward_time: 162.1062774658, propagate_backward_time: 400.6908569336, weight_update_time: 0.6883380413, other_time: 6.1347045898
epoch time: 34.1151885986s, input_fired_time: 0.6678642035, output_fired_time: 0.0000000000, propagate_forward_time: 32.3308372498, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1164855957
validation[          , genome  6337] predictions:    5903/  10000 (59.03%), best:    5908/10000 (59.08%), error:     12304.49805, best error:     12203.36719 on epoch:    45, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 578.1300659180s, input_fired_time: 6.2169866562, output_fired_time: 4.1300525665, propagate_forward_time: 161.7519989014, propagate_backward_time: 399.8400878906, weight_update_time: 0.6892254949, other_time: 6.1909179688
epoch time: 33.8793182373s, input_fired_time: 0.6628291011, output_fired_time: 0.0000000000, propagate_forward_time: 32.1007728577, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1157150269
validation[          , genome  6337] predictions:    5911/  10000 (59.11%), best:    5908/10000 (59.08%), error:     12419.63086, best error:     12203.36719 on epoch:    45, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 575.9831542969s, input_fired_time: 6.2188415527, output_fired_time: 4.1186194420, propagate_forward_time: 161.6353912354, propagate_backward_time: 397.9351196289, weight_update_time: 0.6881536841, other_time: 6.0751953125
epoch time: 34.1158332825s, input_fired_time: 0.6599879265, output_fired_time: 0.0000000000, propagate_forward_time: 32.3764495850, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0793952942
validation[          , genome  6337] predictions:    5873/  10000 (58.73%), best:    5908/10000 (59.08%), error:     12486.57422, best error:     12203.36719 on epoch:    45, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 575.6837768555s, input_fired_time: 6.2027835846, output_fired_time: 4.1354999542, propagate_forward_time: 161.5819091797, propagate_backward_time: 397.6863708496, weight_update_time: 0.6826863289, other_time: 6.0772399902
epoch time: 33.7422027588s, input_fired_time: 0.6616014242, output_fired_time: 0.0000000000, propagate_forward_time: 32.0767593384, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0038414001
validation[          , genome  6337] predictions:    5655/  10000 (56.55%), best:    5908/10000 (59.08%), error:     12998.06641, best error:     12203.36719 on epoch:    45, 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: 172.0648345947s, input_fired_time: 3.3697187901, output_fired_time: 0.0000000000, propagate_forward_time: 163.3896026611, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.3055114746
best training[          , genome  6337] predictions:   34398/  50000 (68.80%), best:    5908/10000 (59.08%), error:     45321.53906, best error:     12203.36719 on epoch:    45, 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: 37.4049224854s, input_fired_time: 0.8298793435, output_fired_time: 0.0000000000, propagate_forward_time: 34.0133247375, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5617179871
   testing[          , genome  6337] predictions:    5908/  10000 (59.08%), best:    5908/10000 (59.08%), error:     12203.36719, best error:     12203.36719 on epoch:    45, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
14:53:40 (1796): called boinc_finish(0)

</stderr_txt>
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