Nameexact_genome_1542649503_174_6337_0
Workunit4099390
Created20 Nov 2018, 2:10:56 UTC
Sent20 Nov 2018, 2:12:16 UTC
Report deadline23 Dec 2018, 9:09:20 UTC
Received21 Nov 2018, 5:34:35 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID68157
Run time10 hours 56 min 30 sec
CPU time10 hours 49 min 26 sec
Validate stateValid
Credit8,322.41
Device peak FLOPS3.44 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34

Stderr output

<core_client_version>7.0.80</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_0_r559558374_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: 1801.62683105469s, input_fired_time: 15.890193939209, output_fired_time: 11.7012491226196, propagate_forward_time: 609.13427734375, propagate_backward_time: 1151.72607421875, weight_update_time: 0.866109609603882, other_time: 13.175048828125
epoch time: 122.043395996094s, input_fired_time: 0.760625839233398, output_fired_time: 0, propagate_forward_time: 118.949859619141, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.33290863037109
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: 1793.0749511719s, input_fired_time: 19.0051441193, output_fired_time: 15.8273897171, propagate_forward_time: 568.5836791992, propagate_backward_time: 1172.1130371094, weight_update_time: 3.9281959534, other_time: 17.5456542969
epoch time: 125.2556152344s, input_fired_time: 0.7884997725, output_fired_time: 0.0000000000, propagate_forward_time: 121.1247100830, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3424072266
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: 1797.1005859375s, input_fired_time: 16.9700126648, output_fired_time: 14.8863124847, propagate_forward_time: 576.7970581055, propagate_backward_time: 1168.9166259766, weight_update_time: 0.8656503558, other_time: 19.5306396484
epoch time: 123.5879821777s, input_fired_time: 2.8389308453, output_fired_time: 0.0000000000, propagate_forward_time: 118.2609024048, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4881515503
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: 1796.8870849609s, input_fired_time: 23.1476039886, output_fired_time: 21.2269916534, propagate_forward_time: 587.4929199219, propagate_backward_time: 1144.3905029297, weight_update_time: 1.9705179930, other_time: 20.6290283203
epoch time: 126.6084213257s, input_fired_time: 2.8630378246, output_fired_time: 0.0000000000, propagate_forward_time: 120.2585220337, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4868621826
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: 1816.5220947266s, input_fired_time: 17.1792736053, output_fired_time: 14.9789066315, propagate_forward_time: 598.1698608398, propagate_backward_time: 1158.2414550781, weight_update_time: 5.0385622978, other_time: 27.9526367188
epoch time: 124.1200485229s, input_fired_time: 1.7260398865, output_fired_time: 0.0000000000, propagate_forward_time: 118.0650177002, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.3289947510
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: 1778.0302734375s, input_fired_time: 17.8511867523, output_fired_time: 21.9683742523, propagate_forward_time: 594.8776855469, propagate_backward_time: 1119.0223388672, weight_update_time: 5.8085446358, other_time: 24.3106689453
epoch time: 122.2056427002s, input_fired_time: 2.7062001228, output_fired_time: 0.0000000000, propagate_forward_time: 114.0245056152, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.4749374390
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: 1786.0537109375s, input_fired_time: 16.8875675201, output_fired_time: 18.8695316315, propagate_forward_time: 591.6564331055, propagate_backward_time: 1138.0728759766, weight_update_time: 2.9461452961, other_time: 20.5672607422
epoch time: 134.8833160400s, input_fired_time: 0.7754522562, output_fired_time: 0.0000000000, propagate_forward_time: 128.6217956543, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.4860687256
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: 1792.4160156250s, input_fired_time: 14.0303354263, output_fired_time: 12.9415349960, propagate_forward_time: 604.3754272461, propagate_backward_time: 1146.6060791016, weight_update_time: 0.8785372376, other_time: 14.4625244141
epoch time: 126.0711135864s, input_fired_time: 0.7449273467, output_fired_time: 0.0000000000, propagate_forward_time: 123.9361190796, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3900680542
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: 1811.8853759766s, input_fired_time: 15.1965847015, output_fired_time: 16.1675529480, propagate_forward_time: 587.7734985352, propagate_backward_time: 1176.5980224609, weight_update_time: 2.8525176048, other_time: 16.1497802734
epoch time: 124.3199081421s, input_fired_time: 2.7073643208, output_fired_time: 0.0000000000, propagate_forward_time: 120.2598266602, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3527145386
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: 1785.1273193359s, input_fired_time: 12.7456512451, output_fired_time: 9.9328317642, propagate_forward_time: 584.8366699219, propagate_backward_time: 1154.1380615234, weight_update_time: 4.8018708229, other_time: 23.4741210938
epoch time: 122.0892639160s, input_fired_time: 1.7200845480, output_fired_time: 0.0000000000, propagate_forward_time: 117.8966064453, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4725723267
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: 1787.2753906250s, input_fired_time: 15.1050109863, output_fired_time: 14.8917484283, propagate_forward_time: 581.1428222656, propagate_backward_time: 1146.7406005859, weight_update_time: 2.8338947296, other_time: 29.3952636719
epoch time: 121.9035263062s, input_fired_time: 0.7525701523, output_fired_time: 0.0000000000, propagate_forward_time: 117.7923049927, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3586502075
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: 1791.8395996094s, input_fired_time: 13.9813337326, output_fired_time: 14.9236402512, propagate_forward_time: 600.0098876953, propagate_backward_time: 1142.5764160156, weight_update_time: 3.9594111443, other_time: 20.3483886719
epoch time: 124.5979080200s, input_fired_time: 0.7889137864, output_fired_time: 0.0000000000, propagate_forward_time: 115.3831481934, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.4258422852
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: 1782.3087158203s, input_fired_time: 22.9293441772, output_fired_time: 17.6460037231, propagate_forward_time: 574.6152343750, propagate_backward_time: 1141.4770507813, weight_update_time: 4.0049734116, other_time: 25.6411132813
epoch time: 123.6863174438s, input_fired_time: 2.6940815449, output_fired_time: 0.0000000000, propagate_forward_time: 117.6455764771, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3466567993
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: 1791.8884277344s, input_fired_time: 25.4498806000, output_fired_time: 17.0321636200, propagate_forward_time: 580.2653808594, propagate_backward_time: 1150.6962890625, weight_update_time: 2.0059344769, other_time: 18.4448242188
epoch time: 121.9383468628s, input_fired_time: 1.7030314207, output_fired_time: 0.0000000000, propagate_forward_time: 114.7765121460, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.4588012695
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: 1774.1458740234s, input_fired_time: 9.9001941681, output_fired_time: 13.8662347794, propagate_forward_time: 590.9537353516, propagate_backward_time: 1143.0529785156, weight_update_time: 0.8656254411, other_time: 16.3728027344
epoch time: 116.1705627441s, input_fired_time: 2.7977833748, output_fired_time: 0.0000000000, propagate_forward_time: 109.0694274902, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.3033523560
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: 1801.2427978516s, input_fired_time: 26.1739101410, output_fired_time: 12.1029100418, propagate_forward_time: 608.0150146484, propagate_backward_time: 1129.6936035156, weight_update_time: 0.8738936782, other_time: 25.2573242188
epoch time: 124.5889205933s, input_fired_time: 0.7750616670, output_fired_time: 0.0000000000, propagate_forward_time: 121.3259201050, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4879379272
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: 1784.8162841797s, input_fired_time: 18.1968193054, output_fired_time: 12.0371112823, propagate_forward_time: 563.4085693359, propagate_backward_time: 1171.6530761719, weight_update_time: 2.8759121895, other_time: 19.5207519531
epoch time: 119.1065750122s, input_fired_time: 0.7605196834, output_fired_time: 0.0000000000, propagate_forward_time: 113.9354476929, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.4106063843
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: 1775.9898681641s, input_fired_time: 15.7734355927, output_fired_time: 14.8918600082, propagate_forward_time: 607.0722656250, propagate_backward_time: 1118.5261230469, weight_update_time: 0.8785275221, other_time: 19.7261962891
epoch time: 119.8613204956s, input_fired_time: 2.7094402313, output_fired_time: 0.0000000000, propagate_forward_time: 111.7448577881, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.4070205688
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: 1792.2510986328s, input_fired_time: 7.8990988731, output_fired_time: 11.6922388077, propagate_forward_time: 566.8664550781, propagate_backward_time: 1185.1481933594, weight_update_time: 1.9693312645, other_time: 20.6451416016
epoch time: 124.0899353027s, input_fired_time: 4.8227357864, output_fired_time: 0.0000000000, propagate_forward_time: 117.8675003052, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3996963501
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: 1800.4964599609s, input_fired_time: 28.0514907837, output_fired_time: 16.6613883972, propagate_forward_time: 585.6071166992, propagate_backward_time: 1154.7303466797, weight_update_time: 0.8771301508, other_time: 15.4461669922
epoch time: 126.6501846313s, input_fired_time: 0.7699530721, output_fired_time: 0.0000000000, propagate_forward_time: 122.4699859619, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4102478027
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: 1793.3383789063s, input_fired_time: 16.0315589905, output_fired_time: 13.8537788391, propagate_forward_time: 592.2113647461, propagate_backward_time: 1147.7131347656, weight_update_time: 0.8730920553, other_time: 23.5285644531
epoch time: 121.8628158569s, input_fired_time: 1.8779379129, output_fired_time: 0.0000000000, propagate_forward_time: 118.6529617310, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3319168091
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: 1801.6135253906s, input_fired_time: 19.1159057617, output_fired_time: 12.7870006561, propagate_forward_time: 607.1005249023, propagate_backward_time: 1138.9305419922, weight_update_time: 1.9572470188, other_time: 23.6795654297
epoch time: 124.3696517944s, input_fired_time: 0.7580628991, output_fired_time: 0.0000000000, propagate_forward_time: 120.1335220337, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4780654907
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: 1804.7674560547s, input_fired_time: 12.9159040451, output_fired_time: 15.1426877975, propagate_forward_time: 595.4582519531, propagate_backward_time: 1162.0939941406, weight_update_time: 1.9611097574, other_time: 19.1566162109
epoch time: 121.6474151611s, input_fired_time: 0.7650718689, output_fired_time: 0.0000000000, propagate_forward_time: 117.5142745972, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3680648804
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: 1809.4246826172s, input_fired_time: 7.9271016121, output_fired_time: 15.9975004196, propagate_forward_time: 617.6250610352, propagate_backward_time: 1149.0511474609, weight_update_time: 0.8960019350, other_time: 18.8238525391
epoch time: 121.2859344482s, input_fired_time: 0.7341240048, output_fired_time: 0.0000000000, propagate_forward_time: 116.1252059937, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.4266052246
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: 1786.6893310547s, input_fired_time: 19.8542366028, output_fired_time: 15.8894777298, propagate_forward_time: 572.3725585938, propagate_backward_time: 1161.1328125000, weight_update_time: 1.8513644934, other_time: 17.4401855469
epoch time: 121.3907699585s, input_fired_time: 0.7612656355, output_fired_time: 0.0000000000, propagate_forward_time: 118.2715301514, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3579711914
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: 1781.5377197266s, input_fired_time: 10.8584299088, output_fired_time: 11.8216342926, propagate_forward_time: 580.7564086914, propagate_backward_time: 1156.2672119141, weight_update_time: 0.8868872523, other_time: 21.8341064453
epoch time: 121.3962020874s, input_fired_time: 2.7198534012, output_fired_time: 0.0000000000, propagate_forward_time: 114.0856857300, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5906600952
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: 1781.0493164063s, input_fired_time: 25.2193145752, output_fired_time: 17.7190227509, propagate_forward_time: 581.0540771484, propagate_backward_time: 1140.6456298828, weight_update_time: 0.8580291271, other_time: 16.4112548828
epoch time: 124.1071929932s, input_fired_time: 2.8237922192, output_fired_time: 0.0000000000, propagate_forward_time: 115.7769241333, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5064773560
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: 1787.7940673828s, input_fired_time: 24.1815738678, output_fired_time: 15.0324840546, propagate_forward_time: 579.0891113281, propagate_backward_time: 1141.6545410156, weight_update_time: 1.9702467918, other_time: 27.8364257813
epoch time: 123.1635360718s, input_fired_time: 2.7405550480, output_fired_time: 0.0000000000, propagate_forward_time: 113.8909149170, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.5320663452
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: 1771.9001464844s, input_fired_time: 16.8974227905, output_fired_time: 16.8923835754, propagate_forward_time: 592.6546630859, propagate_backward_time: 1126.2702636719, weight_update_time: 1.8560606241, other_time: 19.1854248047
epoch time: 122.1568222046s, input_fired_time: 0.7637809515, output_fired_time: 0.0000000000, propagate_forward_time: 116.8260116577, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5670318604
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: 1787.1396484375s, input_fired_time: 14.9548730850, output_fired_time: 18.0006790161, propagate_forward_time: 589.2462158203, propagate_backward_time: 1142.5977783203, weight_update_time: 5.0174093246, other_time: 22.3400878906
epoch time: 123.8215026855s, input_fired_time: 3.8504226208, output_fired_time: 0.0000000000, propagate_forward_time: 117.4985656738, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4725112915
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: 1794.9171142578s, input_fired_time: 18.9572162628, output_fired_time: 13.0075912476, propagate_forward_time: 593.2920532227, propagate_backward_time: 1150.2397460938, weight_update_time: 1.9675371647, other_time: 19.4204101563
epoch time: 124.6013031006s, input_fired_time: 2.8500888348, output_fired_time: 0.0000000000, propagate_forward_time: 118.4227523804, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3284606934
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: 1794.9057617188s, input_fired_time: 22.1760120392, output_fired_time: 13.0931272507, propagate_forward_time: 606.7410888672, propagate_backward_time: 1135.7089843750, weight_update_time: 0.8810966015, other_time: 17.1865234375
epoch time: 121.5719909668s, input_fired_time: 1.7403013706, output_fired_time: 0.0000000000, propagate_forward_time: 112.5517044067, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.2799835205
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: 1782.7392578125s, input_fired_time: 18.0269947052, output_fired_time: 12.7159290314, propagate_forward_time: 563.7051391602, propagate_backward_time: 1155.1757812500, weight_update_time: 2.8478291035, other_time: 33.1154785156
epoch time: 123.5875473022s, input_fired_time: 1.8567428589, output_fired_time: 0.0000000000, propagate_forward_time: 117.3544540405, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.3763504028
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: 1790.2595214844s, input_fired_time: 24.1336650848, output_fired_time: 15.9373216629, propagate_forward_time: 570.0396118164, propagate_backward_time: 1164.6962890625, weight_update_time: 0.8745025992, other_time: 15.4526367188
epoch time: 125.0336303711s, input_fired_time: 0.7740394473, output_fired_time: 0.0000000000, propagate_forward_time: 118.8067245483, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.4528656006
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: 1779.8264160156s, input_fired_time: 13.8768768311, output_fired_time: 14.8029003143, propagate_forward_time: 584.0238037109, propagate_backward_time: 1142.5784912109, weight_update_time: 0.8728502393, other_time: 24.5444335938
epoch time: 124.0410385132s, input_fired_time: 4.7125921249, output_fired_time: 0.0000000000, propagate_forward_time: 117.8916854858, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4367599487
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: 1774.3869628906s, input_fired_time: 20.1040382385, output_fired_time: 8.7268428802, propagate_forward_time: 582.6367187500, propagate_backward_time: 1140.4630126953, weight_update_time: 0.8582003713, other_time: 22.4564208984
epoch time: 124.1106109619s, input_fired_time: 1.7538719177, output_fired_time: 0.0000000000, propagate_forward_time: 119.0045623779, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3521728516
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: 1769.8295898438s, input_fired_time: 23.2203044891, output_fired_time: 13.9110078812, propagate_forward_time: 610.1911621094, propagate_backward_time: 1104.4587402344, weight_update_time: 1.8389033079, other_time: 18.0483398438
epoch time: 124.2371368408s, input_fired_time: 0.7783633471, output_fired_time: 0.0000000000, propagate_forward_time: 122.0781631470, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3806076050
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: 1801.0581054688s, input_fired_time: 18.2138767242, output_fired_time: 14.0877103806, propagate_forward_time: 591.1985473633, propagate_backward_time: 1152.7071533203, weight_update_time: 0.8695885539, other_time: 24.8507080078
epoch time: 121.3592910767s, input_fired_time: 2.8533582687, output_fired_time: 0.0000000000, propagate_forward_time: 115.0398406982, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4660949707
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: 1775.7493896484s, input_fired_time: 18.9871749878, output_fired_time: 16.0313205719, propagate_forward_time: 581.9420166016, propagate_backward_time: 1140.6210937500, weight_update_time: 3.8117055893, other_time: 18.1677246094
epoch time: 120.1147689819s, input_fired_time: 0.7686103582, output_fired_time: 0.0000000000, propagate_forward_time: 113.8995056152, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.4466552734
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: 1782.6776123047s, input_fired_time: 19.4363975525, output_fired_time: 10.8613643646, propagate_forward_time: 590.1488647461, propagate_backward_time: 1146.8232421875, weight_update_time: 4.9326648712, other_time: 15.4077148438
epoch time: 121.4101333618s, input_fired_time: 0.7803385854, output_fired_time: 0.0000000000, propagate_forward_time: 119.2478713989, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3819198608
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: 1803.9285888672s, input_fired_time: 21.1878814697, output_fired_time: 12.9432773590, propagate_forward_time: 602.1198120117, propagate_backward_time: 1141.1087646484, weight_update_time: 0.8765500784, other_time: 26.5689697266
epoch time: 124.8100509644s, input_fired_time: 0.7905227542, output_fired_time: 0.0000000000, propagate_forward_time: 119.5579528809, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.4615783691
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: 1790.3103027344s, input_fired_time: 19.2939987183, output_fired_time: 17.6980705261, propagate_forward_time: 575.0328979492, propagate_backward_time: 1154.4227294922, weight_update_time: 2.9012315273, other_time: 23.8626708984
epoch time: 127.9084701538s, input_fired_time: 0.7832460403, output_fired_time: 0.0000000000, propagate_forward_time: 125.7517471313, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3734741211
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: 1780.1009521484s, input_fired_time: 17.2697982788, output_fired_time: 13.8704051971, propagate_forward_time: 582.1461791992, propagate_backward_time: 1138.3499755859, weight_update_time: 0.8676854968, other_time: 28.4647216797
epoch time: 121.2089767456s, input_fired_time: 2.8561277390, output_fired_time: 0.0000000000, propagate_forward_time: 116.0083618164, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3444900513
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: 1774.7452392578s, input_fired_time: 17.2761344910, output_fired_time: 11.8303337097, propagate_forward_time: 582.5325317383, propagate_backward_time: 1141.4785156250, weight_update_time: 4.0440764427, other_time: 21.6276855469
epoch time: 122.1537094116s, input_fired_time: 2.7572572231, output_fired_time: 0.0000000000, propagate_forward_time: 116.0727539063, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3236999512
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: 1782.2987060547s, input_fired_time: 11.9373807907, output_fired_time: 9.8703632355, propagate_forward_time: 594.5298461914, propagate_backward_time: 1152.6146240234, weight_update_time: 0.8657366037, other_time: 13.3465576172
epoch time: 123.9975891113s, input_fired_time: 3.9969170094, output_fired_time: 0.0000000000, propagate_forward_time: 114.4938507080, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5068206787
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: 1802.9604492188s, input_fired_time: 21.1508769989, output_fired_time: 11.9491405487, propagate_forward_time: 583.7441406250, propagate_backward_time: 1158.3807373047, weight_update_time: 2.8889613152, other_time: 27.7355957031
epoch time: 122.0328063965s, input_fired_time: 3.7428855896, output_fired_time: 0.0000000000, propagate_forward_time: 110.7436599731, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.5462570190
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: 1773.6252441406s, input_fired_time: 15.9414529800, output_fired_time: 13.0189733505, propagate_forward_time: 578.0904541016, propagate_backward_time: 1144.1124267578, weight_update_time: 0.8627677560, other_time: 22.4620361328
epoch time: 121.7550811768s, input_fired_time: 3.7353315353, output_fired_time: 0.0000000000, propagate_forward_time: 115.6380386353, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3817138672
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: 1774.8516845703s, input_fired_time: 19.1508522034, output_fired_time: 6.9264335632, propagate_forward_time: 619.4719238281, propagate_backward_time: 1104.8055419922, weight_update_time: 5.0680065155, other_time: 24.4969482422
epoch time: 121.6089630127s, input_fired_time: 4.8484597206, output_fired_time: 0.0000000000, propagate_forward_time: 113.3426208496, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4178848267
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: 1774.4127197266s, input_fired_time: 19.0282382965, output_fired_time: 7.8110580444, propagate_forward_time: 574.5355834961, propagate_backward_time: 1150.5122070313, weight_update_time: 0.8742052317, other_time: 22.5256347656
epoch time: 121.9589767456s, input_fired_time: 3.7574124336, output_fired_time: 0.0000000000, propagate_forward_time: 107.7307586670, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.4708023071
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: 1772.1060791016s, input_fired_time: 14.8809680939, output_fired_time: 14.8321847916, propagate_forward_time: 581.8359375000, propagate_backward_time: 1141.2919921875, weight_update_time: 2.8283276558, other_time: 19.2650146484
epoch time: 128.9093017578s, input_fired_time: 0.8061236739, output_fired_time: 0.0000000000, propagate_forward_time: 121.5342254639, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.5689544678
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: 1779.3654785156s, input_fired_time: 20.1818447113, output_fired_time: 23.2950515747, propagate_forward_time: 581.0628662109, propagate_backward_time: 1137.4766845703, weight_update_time: 1.9714643955, other_time: 17.3489990234
epoch time: 121.6254425049s, input_fired_time: 0.7866365314, output_fired_time: 0.0000000000, propagate_forward_time: 117.3938827515, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4449234009
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: 610.0830078125s, input_fired_time: 15.2632684708, output_fired_time: 0.0000000000, propagate_forward_time: 582.7545166016, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.0652465820
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: 119.3698120117s, input_fired_time: 2.7645597458, output_fired_time: 0.0000000000, propagate_forward_time: 115.2472763062, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3579788208
   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!
07:33:28 (6244): called boinc_finish(0)

</stderr_txt>
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