Nameexact_genome_1542692703_175_6400_0
Workunit4100922
Created20 Nov 2018, 11:34:59 UTC
Sent20 Nov 2018, 12:17:56 UTC
Report deadline2 Jan 2019, 14:52:31 UTC
Received23 Nov 2018, 8:57:04 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID88573
Run time20 hours 17 min 1 sec
CPU time20 hours 17 min 1 sec
Validate stateValid
Credit10,776.84
Device peak FLOPS3.35 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size519.71 MB
Peak swap size518.52 MB
Peak disk usage9.36 MB

Stderr output

<core_client_version>7.6.22</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_1542692703_175_6400.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_175_6400_0_r408845995_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542692703_175_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: '1440337912'
read generator: 1440337912
read generated_by_map:
1 disable_edge 1
reading 76 nodes.
reading 283 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: 1323618000
post shuffle 1: 1095589628
epoch time: 1221.46936035156s, input_fired_time: 11.1856479644775, output_fired_time: 10.0358476638794, propagate_forward_time: 466.467102050781, propagate_backward_time: 717.932434082031, weight_update_time: 1.35872650146484, other_time: 15.8482666015625
epoch time: 109.651832580566s, input_fired_time: 1.49633181095123, output_fired_time: 0, propagate_forward_time: 105.117881774902, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.03762054443359
validation[          , genome  6400] predictions:    5013/  10000 (50.13%), best:    5013/10000 (50.13%), error:     16795.42969, best error:     16795.42969 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1397.0073242188s, input_fired_time: 11.9933118820, output_fired_time: 11.4517240524, propagate_forward_time: 538.6644287109, propagate_backward_time: 818.3117675781, weight_update_time: 1.4738599062, other_time: 16.5860595703
epoch time: 119.5577545166s, input_fired_time: 1.5198979378, output_fired_time: 0.0000000000, propagate_forward_time: 115.2133178711, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8245391846
validation[          , genome  6400] predictions:    5325/  10000 (53.25%), best:    5325/10000 (53.25%), error:     15858.23438, best error:     15858.23438 on epoch:     1, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1220.0965576172s, input_fired_time: 10.6662006378, output_fired_time: 9.8689451218, propagate_forward_time: 467.0114135742, propagate_backward_time: 717.6680297852, weight_update_time: 1.3320534229, other_time: 14.8819580078
epoch time: 134.4448852539s, input_fired_time: 1.6130348444, output_fired_time: 0.0000000000, propagate_forward_time: 129.8707733154, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9610748291
validation[          , genome  6400] predictions:    5179/  10000 (51.79%), best:    5179/10000 (51.79%), error:     15647.60059, best error:     15647.60059 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1502.6112060547s, input_fired_time: 12.0669698715, output_fired_time: 12.1476364136, propagate_forward_time: 584.5603027344, propagate_backward_time: 877.7084960938, weight_update_time: 1.5038734674, other_time: 16.1278076172
epoch time: 111.6805725098s, input_fired_time: 1.4321030378, output_fired_time: 0.0000000000, propagate_forward_time: 107.4010620117, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8474044800
validation[          , genome  6400] predictions:    5241/  10000 (52.41%), best:    5241/10000 (52.41%), error:     14825.08398, best error:     14825.08398 on epoch:     3, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1410.2138671875s, input_fired_time: 11.5849666595, output_fired_time: 11.4008493423, propagate_forward_time: 544.6232910156, propagate_backward_time: 826.8829345703, weight_update_time: 1.4452503920, other_time: 15.7218017578
epoch time: 116.6335601807s, input_fired_time: 1.5332074165, output_fired_time: 0.0000000000, propagate_forward_time: 112.1723785400, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9279708862
validation[          , genome  6400] predictions:    5326/  10000 (53.26%), best:    5241/10000 (52.41%), error:     15178.87891, best error:     14825.08398 on epoch:     3, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1489.3209228516s, input_fired_time: 12.3479213715, output_fired_time: 12.1258182526, propagate_forward_time: 577.6854248047, propagate_backward_time: 870.4265136719, weight_update_time: 1.5249484777, other_time: 16.7352294922
epoch time: 91.6142578125s, input_fired_time: 1.3276534081, output_fired_time: 0.0000000000, propagate_forward_time: 87.5802307129, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7063751221
validation[          , genome  6400] predictions:    5440/  10000 (54.40%), best:    5440/10000 (54.40%), error:     14100.86523, best error:     14100.86523 on epoch:     5, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1359.8312988281s, input_fired_time: 11.6342258453, output_fired_time: 11.0699090958, propagate_forward_time: 523.4351806641, propagate_backward_time: 797.6028442383, weight_update_time: 1.4431302547, other_time: 16.0890502930
epoch time: 73.4283142090s, input_fired_time: 1.1632721424, output_fired_time: 0.0000000000, propagate_forward_time: 69.7238464355, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5411987305
validation[          , genome  6400] predictions:    5416/  10000 (54.16%), best:    5440/10000 (54.40%), error:     14653.89648, best error:     14100.86523 on epoch:     5, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1252.9492187500s, input_fired_time: 11.1407604218, output_fired_time: 10.2344465256, propagate_forward_time: 479.3253784180, propagate_backward_time: 736.6062011719, weight_update_time: 1.3757895231, other_time: 15.6423950195
epoch time: 128.6626892090s, input_fired_time: 1.5750210285, output_fired_time: 0.0000000000, propagate_forward_time: 124.1603851318, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9272842407
validation[          , genome  6400] predictions:    5346/  10000 (53.46%), best:    5440/10000 (54.40%), error:     14397.79883, best error:     14100.86523 on epoch:     5, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1264.8071289063s, input_fired_time: 10.8510513306, output_fired_time: 10.2411766052, propagate_forward_time: 485.2924804688, propagate_backward_time: 743.3270263672, weight_update_time: 1.3549737930, other_time: 15.0953369141
epoch time: 101.9426269531s, input_fired_time: 1.3334915638, output_fired_time: 0.0000000000, propagate_forward_time: 97.9210815430, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6880569458
validation[          , genome  6400] predictions:    5108/  10000 (51.08%), best:    5440/10000 (54.40%), error:     15708.85059, best error:     14100.86523 on epoch:     5, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1209.7979736328s, input_fired_time: 10.5810918808, output_fired_time: 9.7999248505, propagate_forward_time: 463.0216674805, propagate_backward_time: 711.5198364258, weight_update_time: 1.3200923204, other_time: 14.8754882813
epoch time: 136.2312011719s, input_fired_time: 1.6278618574, output_fired_time: 0.0000000000, propagate_forward_time: 131.6438751221, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9594573975
validation[          , genome  6400] predictions:    5227/  10000 (52.27%), best:    5440/10000 (54.40%), error:     14966.08496, best error:     14100.86523 on epoch:     5, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1384.2674560547s, input_fired_time: 11.4533472061, output_fired_time: 11.1909151077, propagate_forward_time: 534.8239746094, propagate_backward_time: 811.2023925781, weight_update_time: 1.4282872677, other_time: 15.5968017578
epoch time: 72.5378875732s, input_fired_time: 1.0980342627, output_fired_time: 0.0000000000, propagate_forward_time: 68.9772415161, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4626083374
validation[          , genome  6400] predictions:    5324/  10000 (53.24%), best:    5440/10000 (54.40%), error:     15092.58887, best error:     14100.86523 on epoch:     5, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1099.7069091797s, input_fired_time: 10.1472854614, output_fired_time: 8.9389171600, propagate_forward_time: 416.1625061035, propagate_backward_time: 649.8947753906, weight_update_time: 1.2591267824, other_time: 14.5633544922
epoch time: 116.3810729980s, input_fired_time: 1.5484939814, output_fired_time: 0.0000000000, propagate_forward_time: 111.8828506470, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9497299194
validation[          , genome  6400] predictions:    5535/  10000 (55.35%), best:    5535/10000 (55.35%), error:     13485.42871, best error:     13485.42871 on epoch:    11, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1452.5128173828s, input_fired_time: 11.8266363144, output_fired_time: 11.7708978653, propagate_forward_time: 565.7535400391, propagate_backward_time: 847.2747802734, weight_update_time: 1.4705820084, other_time: 15.8869628906
epoch time: 70.9911041260s, input_fired_time: 1.1508872509, output_fired_time: 0.0000000000, propagate_forward_time: 67.3327331543, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5074844360
validation[          , genome  6400] predictions:    5437/  10000 (54.37%), best:    5535/10000 (55.35%), error:     13971.83301, best error:     13485.42871 on epoch:    11, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1273.9479980469s, input_fired_time: 10.9155330658, output_fired_time: 10.2878122330, propagate_forward_time: 488.2209777832, propagate_backward_time: 749.3952636719, weight_update_time: 1.3578460217, other_time: 15.1284179688
epoch time: 135.8719329834s, input_fired_time: 1.6479189396, output_fired_time: 0.0000000000, propagate_forward_time: 131.2579193115, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9660949707
validation[          , genome  6400] predictions:    5636/  10000 (56.36%), best:    5636/10000 (56.36%), error:     13452.38184, best error:     13452.38184 on epoch:    13, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1262.4010009766s, input_fired_time: 10.8287086487, output_fired_time: 10.1925754547, propagate_forward_time: 483.8117980957, propagate_backward_time: 742.6604614258, weight_update_time: 1.3523437977, other_time: 14.9074096680
epoch time: 111.6848449707s, input_fired_time: 1.4426108599, output_fired_time: 0.0000000000, propagate_forward_time: 107.4773178101, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7649154663
validation[          , genome  6400] predictions:    5491/  10000 (54.91%), best:    5636/10000 (56.36%), error:     13839.32031, best error:     13452.38184 on epoch:    13, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1286.9016113281s, input_fired_time: 10.9712295532, output_fired_time: 10.3965778351, propagate_forward_time: 494.7020874023, propagate_backward_time: 755.8185424805, weight_update_time: 1.3667681217, other_time: 15.0131835938
epoch time: 92.7278594971s, input_fired_time: 1.2632786036, output_fired_time: 0.0000000000, propagate_forward_time: 88.8899688721, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5746154785
validation[          , genome  6400] predictions:    5657/  10000 (56.57%), best:    5657/10000 (56.57%), error:     13331.49219, best error:     13331.49219 on epoch:    15, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1356.1798095703s, input_fired_time: 11.3061370850, output_fired_time: 10.9244174957, propagate_forward_time: 522.4475708008, propagate_backward_time: 796.2084960938, weight_update_time: 1.4085958004, other_time: 15.2931518555
epoch time: 109.8394470215s, input_fired_time: 1.4238150120, output_fired_time: 0.0000000000, propagate_forward_time: 105.6865997314, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7290344238
validation[          , genome  6400] predictions:    5495/  10000 (54.95%), best:    5657/10000 (56.57%), error:     13927.91602, best error:     13331.49219 on epoch:    15, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1317.8531494141s, input_fired_time: 11.1597557068, output_fired_time: 10.6494426727, propagate_forward_time: 507.7214965820, propagate_backward_time: 773.1564331055, weight_update_time: 1.3859702349, other_time: 15.1660156250
epoch time: 117.8638992310s, input_fired_time: 1.5078704357, output_fired_time: 0.0000000000, propagate_forward_time: 113.5492401123, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8067855835
validation[          , genome  6400] predictions:    5513/  10000 (55.13%), best:    5657/10000 (56.57%), error:     13673.39941, best error:     13331.49219 on epoch:    15, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1327.9102783203s, input_fired_time: 11.2241268158, output_fired_time: 10.7457895279, propagate_forward_time: 511.0171813965, propagate_backward_time: 779.6932983398, weight_update_time: 1.3944922686, other_time: 15.2297973633
epoch time: 70.7543640137s, input_fired_time: 1.0906503201, output_fired_time: 0.0000000000, propagate_forward_time: 67.2972183228, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3664932251
validation[          , genome  6400] predictions:    5479/  10000 (54.79%), best:    5657/10000 (56.57%), error:     14275.62109, best error:     13331.49219 on epoch:    15, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1474.9702148438s, input_fired_time: 12.1818265915, output_fired_time: 11.9833993912, propagate_forward_time: 572.4000244141, propagate_backward_time: 862.0873413086, weight_update_time: 1.5021462440, other_time: 16.3175659180
epoch time: 106.0102844238s, input_fired_time: 1.4079924822, output_fired_time: 0.0000000000, propagate_forward_time: 101.9025344849, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6997604370
validation[          , genome  6400] predictions:    5651/  10000 (56.51%), best:    5651/10000 (56.51%), error:     13108.07227, best error:     13108.07227 on epoch:    19, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1222.7198486328s, input_fired_time: 10.6822586060, output_fired_time: 9.8741168976, propagate_forward_time: 468.1696777344, propagate_backward_time: 719.2880249023, weight_update_time: 1.3267148733, other_time: 14.7057495117
epoch time: 115.6025009155s, input_fired_time: 1.4967106581, output_fired_time: 0.0000000000, propagate_forward_time: 111.3282470703, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7775421143
validation[          , genome  6400] predictions:    5466/  10000 (54.66%), best:    5651/10000 (56.51%), error:     13745.15723, best error:     13108.07227 on epoch:    19, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1357.0701904297s, input_fired_time: 11.5601224899, output_fired_time: 11.0228853226, propagate_forward_time: 522.7805786133, propagate_backward_time: 795.9789428711, weight_update_time: 1.4278739691, other_time: 15.7276611328
epoch time: 115.9668273926s, input_fired_time: 1.5503492355, output_fired_time: 0.0000000000, propagate_forward_time: 111.4579849243, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9584960938
validation[          , genome  6400] predictions:    5711/  10000 (57.11%), best:    5711/10000 (57.11%), error:     13048.76758, best error:     13048.76758 on epoch:    21, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1352.8468017578s, input_fired_time: 11.3685598373, output_fired_time: 10.9153966904, propagate_forward_time: 522.5954589844, propagate_backward_time: 792.6665039063, weight_update_time: 1.4081164598, other_time: 15.3009033203
epoch time: 127.0748748779s, input_fired_time: 1.5884420872, output_fired_time: 0.0000000000, propagate_forward_time: 122.5931701660, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8932647705
validation[          , genome  6400] predictions:    5646/  10000 (56.46%), best:    5711/10000 (57.11%), error:     13216.50586, best error:     13048.76758 on epoch:    21, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1358.4603271484s, input_fired_time: 11.4097967148, output_fired_time: 10.9777507782, propagate_forward_time: 524.3215942383, propagate_backward_time: 796.4027099609, weight_update_time: 1.4119991064, other_time: 15.3484497070
epoch time: 83.6120910645s, input_fired_time: 1.1941628456, output_fired_time: 0.0000000000, propagate_forward_time: 79.9302597046, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4876708984
validation[          , genome  6400] predictions:    5647/  10000 (56.47%), best:    5711/10000 (57.11%), error:     13693.85840, best error:     13048.76758 on epoch:    21, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1318.4216308594s, input_fired_time: 11.3043680191, output_fired_time: 10.6797275543, propagate_forward_time: 507.0625610352, propagate_backward_time: 773.9835815430, weight_update_time: 1.3909401894, other_time: 15.3914794922
epoch time: 91.3633804321s, input_fired_time: 1.3394547701, output_fired_time: 0.0000000000, propagate_forward_time: 87.3241271973, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6997985840
validation[          , genome  6400] predictions:    5774/  10000 (57.74%), best:    5774/10000 (57.74%), error:     12898.06445, best error:     12898.06445 on epoch:    24, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1420.7967529297s, input_fired_time: 12.1781778336, output_fired_time: 11.6131124496, propagate_forward_time: 548.9213867188, propagate_backward_time: 831.6010131836, weight_update_time: 1.4838020802, other_time: 16.4829711914
epoch time: 124.8089141846s, input_fired_time: 1.6565972567, output_fired_time: 0.0000000000, propagate_forward_time: 120.1304550171, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0218582153
validation[          , genome  6400] predictions:    5664/  10000 (56.64%), best:    5774/10000 (57.74%), error:     13432.64844, best error:     12898.06445 on epoch:    24, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 1446.7731933594s, input_fired_time: 11.9084405899, output_fired_time: 11.6857156754, propagate_forward_time: 560.9999389648, propagate_backward_time: 846.2973632813, weight_update_time: 1.4703966379, other_time: 15.8817749023
epoch time: 106.5069046021s, input_fired_time: 1.4253625870, output_fired_time: 0.0000000000, propagate_forward_time: 102.3358840942, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7456588745
validation[          , genome  6400] predictions:    5629/  10000 (56.29%), best:    5774/10000 (57.74%), error:     13485.98340, best error:     12898.06445 on epoch:    24, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 1127.4526367188s, input_fired_time: 10.3199529648, output_fired_time: 9.1556873322, propagate_forward_time: 427.7486267090, propagate_backward_time: 665.6879882813, weight_update_time: 1.2676872015, other_time: 14.5404052734
epoch time: 120.1099624634s, input_fired_time: 1.5469267368, output_fired_time: 0.0000000000, propagate_forward_time: 115.7303695679, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8326644897
validation[          , genome  6400] predictions:    5684/  10000 (56.84%), best:    5774/10000 (57.74%), error:     13328.48242, best error:     12898.06445 on epoch:    24, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 1367.7972412109s, input_fired_time: 11.5596446991, output_fired_time: 11.1105041504, propagate_forward_time: 527.7221679688, propagate_backward_time: 801.8492431641, weight_update_time: 1.4187531471, other_time: 15.5556640625
epoch time: 131.2432098389s, input_fired_time: 1.6348446608, output_fired_time: 0.0000000000, propagate_forward_time: 126.6699981689, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9383697510
validation[          , genome  6400] predictions:    5890/  10000 (58.90%), best:    5890/10000 (58.90%), error:     12402.65918, best error:     12402.65918 on epoch:    28, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 1337.1832275391s, input_fired_time: 11.6791315079, output_fired_time: 10.8697042465, propagate_forward_time: 515.2771606445, propagate_backward_time: 783.5299072266, weight_update_time: 1.4209012985, other_time: 15.8273315430
epoch time: 109.2519226074s, input_fired_time: 1.5124284029, output_fired_time: 0.0000000000, propagate_forward_time: 104.8660278320, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8734664917
validation[          , genome  6400] predictions:    5732/  10000 (57.32%), best:    5890/10000 (58.90%), error:     13126.17871, best error:     12402.65918 on epoch:    28, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 1207.1258544922s, input_fired_time: 11.1084823608, output_fired_time: 9.8473358154, propagate_forward_time: 460.1800537109, propagate_backward_time: 710.5873413086, weight_update_time: 1.3479076624, other_time: 15.4026489258
epoch time: 100.2243576050s, input_fired_time: 1.4301832914, output_fired_time: 0.0000000000, propagate_forward_time: 96.0100936890, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7840805054
validation[          , genome  6400] predictions:    5788/  10000 (57.88%), best:    5890/10000 (58.90%), error:     12927.22949, best error:     12402.65918 on epoch:    28, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 1237.1765136719s, input_fired_time: 11.2905273438, output_fired_time: 10.0854787827, propagate_forward_time: 473.3944091797, propagate_backward_time: 726.8329467773, weight_update_time: 1.3662590981, other_time: 15.5731811523
epoch time: 113.4733047485s, input_fired_time: 1.5484409332, output_fired_time: 0.0000000000, propagate_forward_time: 109.0050354004, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9198303223
validation[          , genome  6400] predictions:    5870/  10000 (58.70%), best:    5890/10000 (58.90%), error:     12837.31445, best error:     12402.65918 on epoch:    28, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1359.5538330078s, input_fired_time: 11.5474777222, output_fired_time: 10.9894514084, propagate_forward_time: 524.4707641602, propagate_backward_time: 796.9544677734, weight_update_time: 1.4170073271, other_time: 15.5916137695
epoch time: 92.2505950928s, input_fired_time: 1.3452455997, output_fired_time: 0.0000000000, propagate_forward_time: 88.2404174805, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6649322510
validation[          , genome  6400] predictions:    5767/  10000 (57.67%), best:    5890/10000 (58.90%), error:     13012.71094, best error:     12402.65918 on epoch:    28, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1292.9570312500s, input_fired_time: 11.5675086975, output_fired_time: 10.5271863937, propagate_forward_time: 495.9207153320, propagate_backward_time: 759.1330566406, weight_update_time: 1.4028240442, other_time: 15.8085327148
epoch time: 125.7525329590s, input_fired_time: 1.6718038321, output_fired_time: 0.0000000000, propagate_forward_time: 121.0500259399, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0307006836
validation[          , genome  6400] predictions:    5897/  10000 (58.97%), best:    5897/10000 (58.97%), error:     12391.67090, best error:     12391.67090 on epoch:    33, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1511.9011230469s, input_fired_time: 12.3316593170, output_fired_time: 12.1885042191, propagate_forward_time: 587.9766845703, propagate_backward_time: 883.2640991211, weight_update_time: 1.5083268881, other_time: 16.1401977539
epoch time: 105.8550567627s, input_fired_time: 1.4339520931, output_fired_time: 0.0000000000, propagate_forward_time: 101.6910095215, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7300949097
validation[          , genome  6400] predictions:    5985/  10000 (59.85%), best:    5985/10000 (59.85%), error:     12305.61621, best error:     12305.61621 on epoch:    34, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1390.0601806641s, input_fired_time: 11.7026453018, output_fired_time: 11.2407464981, propagate_forward_time: 537.0936889648, propagate_backward_time: 814.4072265625, weight_update_time: 1.4327552319, other_time: 15.6159057617
epoch time: 74.0116958618s, input_fired_time: 1.1500359774, output_fired_time: 0.0000000000, propagate_forward_time: 70.3977584839, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4638977051
validation[          , genome  6400] predictions:    5914/  10000 (59.14%), best:    5985/10000 (59.85%), error:     12519.89551, best error:     12305.61621 on epoch:    34, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1207.7039794922s, input_fired_time: 10.8019227982, output_fired_time: 9.7634687424, propagate_forward_time: 461.2751770020, propagate_backward_time: 711.0294189453, weight_update_time: 1.3186053038, other_time: 14.8341064453
epoch time: 122.5461196899s, input_fired_time: 1.5844480991, output_fired_time: 0.0000000000, propagate_forward_time: 118.0820083618, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8796615601
validation[          , genome  6400] predictions:    6007/  10000 (60.07%), best:    6007/10000 (60.07%), error:     12197.49902, best error:     12197.49902 on epoch:    36, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1291.6918945313s, input_fired_time: 11.2399463654, output_fired_time: 10.4681816101, propagate_forward_time: 495.5621337891, propagate_backward_time: 759.1867675781, weight_update_time: 1.3738048077, other_time: 15.2348632813
epoch time: 88.6757354736s, input_fired_time: 1.2910141945, output_fired_time: 0.0000000000, propagate_forward_time: 84.7778778076, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6068420410
validation[          , genome  6400] predictions:    5807/  10000 (58.07%), best:    6007/10000 (60.07%), error:     12902.14551, best error:     12197.49902 on epoch:    36, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1393.8509521484s, input_fired_time: 12.1372766495, output_fired_time: 11.3558673859, propagate_forward_time: 537.9863281250, propagate_backward_time: 816.0892944336, weight_update_time: 1.4641116858, other_time: 16.2821655273
epoch time: 101.9183959961s, input_fired_time: 1.4702748060, output_fired_time: 0.0000000000, propagate_forward_time: 97.6401748657, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8079452515
validation[          , genome  6400] predictions:    5920/  10000 (59.20%), best:    6007/10000 (60.07%), error:     12595.95020, best error:     12197.49902 on epoch:    36, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1302.8211669922s, input_fired_time: 11.6258563995, output_fired_time: 10.6070356369, propagate_forward_time: 500.4743041992, propagate_backward_time: 764.3389282227, weight_update_time: 1.4003514051, other_time: 15.7750244141
epoch time: 79.8754653931s, input_fired_time: 1.2246394157, output_fired_time: 0.0000000000, propagate_forward_time: 76.1335983276, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5172271729
validation[          , genome  6400] predictions:    6035/  10000 (60.35%), best:    6035/10000 (60.35%), error:     12084.47070, best error:     12084.47070 on epoch:    39, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1267.7944335938s, input_fired_time: 11.2049684525, output_fired_time: 10.2990589142, propagate_forward_time: 484.8717041016, propagate_backward_time: 745.8797607422, weight_update_time: 1.3600144386, other_time: 15.5389404297
epoch time: 73.2591476440s, input_fired_time: 1.1612412930, output_fired_time: 0.0000000000, propagate_forward_time: 69.6254196167, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4724884033
validation[          , genome  6400] predictions:    5986/  10000 (59.86%), best:    6035/10000 (60.35%), error:     12537.87500, best error:     12084.47070 on epoch:    39, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1279.3923339844s, input_fired_time: 11.1921396255, output_fired_time: 10.3274250031, propagate_forward_time: 491.9005737305, propagate_backward_time: 750.9201049805, weight_update_time: 1.3807140589, other_time: 15.0521240234
epoch time: 108.7805480957s, input_fired_time: 1.4756716490, output_fired_time: 0.0000000000, propagate_forward_time: 104.5811157227, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7237625122
validation[          , genome  6400] predictions:    6014/  10000 (60.14%), best:    6035/10000 (60.35%), error:     12200.99707, best error:     12084.47070 on epoch:    39, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1285.9697265625s, input_fired_time: 11.2254953384, output_fired_time: 10.3967571259, propagate_forward_time: 493.0140686035, propagate_backward_time: 756.2538452148, weight_update_time: 1.3684020042, other_time: 15.0796508789
epoch time: 96.1715316772s, input_fired_time: 1.3672277927, output_fired_time: 0.0000000000, propagate_forward_time: 92.1961975098, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6081085205
validation[          , genome  6400] predictions:    5950/  10000 (59.50%), best:    6035/10000 (60.35%), error:     12362.07031, best error:     12084.47070 on epoch:    39, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1337.5098876953s, input_fired_time: 11.5518198013, output_fired_time: 10.8659162521, propagate_forward_time: 513.4605712891, propagate_backward_time: 785.9409790039, weight_update_time: 1.4032337666, other_time: 15.6904907227
epoch time: 128.3502349854s, input_fired_time: 1.6562606096, output_fired_time: 0.0000000000, propagate_forward_time: 123.6186676025, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0753097534
validation[          , genome  6400] predictions:    5976/  10000 (59.76%), best:    6035/10000 (60.35%), error:     12245.94629, best error:     12084.47070 on epoch:    39, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1256.3437500000s, input_fired_time: 11.2629919052, output_fired_time: 10.2300081253, propagate_forward_time: 480.1848144531, propagate_backward_time: 739.0302124023, weight_update_time: 1.3644622564, other_time: 15.6358032227
epoch time: 97.8134078979s, input_fired_time: 1.4070906639, output_fired_time: 0.0000000000, propagate_forward_time: 93.3539581299, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0523605347
validation[          , genome  6400] predictions:    6029/  10000 (60.29%), best:    6029/10000 (60.29%), error:     11886.88281, best error:     11886.88281 on epoch:    44, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1208.8709716797s, input_fired_time: 10.9597635269, output_fired_time: 9.7947320938, propagate_forward_time: 461.0690307617, propagate_backward_time: 712.0119018555, weight_update_time: 1.3252431154, other_time: 15.0356445313
epoch time: 85.0496597290s, input_fired_time: 1.3689917326, output_fired_time: 0.0000000000, propagate_forward_time: 80.6909027100, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9897689819
validation[          , genome  6400] predictions:    6066/  10000 (60.66%), best:    6029/10000 (60.29%), error:     11902.46973, best error:     11886.88281 on epoch:    44, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1178.8148193359s, input_fired_time: 11.1088953018, output_fired_time: 9.6752939224, propagate_forward_time: 447.8470153809, propagate_backward_time: 694.5388183594, weight_update_time: 1.3256548643, other_time: 15.6447753906
epoch time: 109.5405120850s, input_fired_time: 1.4898400307, output_fired_time: 0.0000000000, propagate_forward_time: 105.3114929199, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7391815186
validation[          , genome  6400] predictions:    6096/  10000 (60.96%), best:    6029/10000 (60.29%), error:     12104.10645, best error:     11886.88281 on epoch:    44, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1403.0428466797s, input_fired_time: 12.5511837006, output_fired_time: 11.6498270035, propagate_forward_time: 535.2896728516, propagate_backward_time: 824.3764038086, weight_update_time: 1.4850326777, other_time: 19.1758422852
epoch time: 124.3550643921s, input_fired_time: 1.6293878555, output_fired_time: 0.0000000000, propagate_forward_time: 119.8292236328, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8964538574
validation[          , genome  6400] predictions:    6059/  10000 (60.59%), best:    6029/10000 (60.29%), error:     12121.63184, best error:     11886.88281 on epoch:    44, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1142.3608398438s, input_fired_time: 10.6970090866, output_fired_time: 9.3506202698, propagate_forward_time: 433.0235290527, propagate_backward_time: 674.2596435547, weight_update_time: 1.2863447666, other_time: 15.0300292969
epoch time: 70.9583663940s, input_fired_time: 1.1525125504, output_fired_time: 0.0000000000, propagate_forward_time: 67.4280853271, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3777694702
validation[          , genome  6400] predictions:    6058/  10000 (60.58%), best:    6029/10000 (60.29%), error:     12130.88965, best error:     11886.88281 on epoch:    44, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1282.8746337891s, input_fired_time: 11.4006271362, output_fired_time: 10.5590028763, propagate_forward_time: 487.8856506348, propagate_backward_time: 756.2561645508, weight_update_time: 1.3816504478, other_time: 16.7732543945
epoch time: 108.4216232300s, input_fired_time: 1.5088828802, output_fired_time: 0.0000000000, propagate_forward_time: 103.4330291748, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4797134399
validation[          , genome  6400] predictions:    6081/  10000 (60.81%), best:    6029/10000 (60.29%), error:     11920.27441, best error:     11886.88281 on epoch:    44, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1207.5538330078s, input_fired_time: 10.9367523193, output_fired_time: 9.8186540604, propagate_forward_time: 459.4219055176, propagate_backward_time: 712.0522460938, weight_update_time: 1.3242027760, other_time: 15.3243408203
epoch time: 124.8585281372s, input_fired_time: 1.6476006508, output_fired_time: 0.0000000000, propagate_forward_time: 120.3211288452, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8898010254
validation[          , genome  6400] predictions:    6174/  10000 (61.74%), best:    6174/10000 (61.74%), error:     11773.84180, best error:     11773.84180 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: 582.2715454102s, input_fired_time: 7.8324389458, output_fired_time: 0.0000000000, propagate_forward_time: 560.3265991211, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 14.1124877930
best training[          , genome  6400] predictions:   36882/  50000 (73.76%), best:    6174/10000 (61.74%), error:     37560.97656, best error:     11773.84180 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: 110.7176742554s, input_fired_time: 1.5107911825, output_fired_time: 0.0000000000, propagate_forward_time: 106.4635238647, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7433624268
   testing[          , genome  6400] predictions:    6174/  10000 (61.74%), best:    6174/10000 (61.74%), error:     11773.84180, best error:     11773.84180 on epoch:    50, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
02:54:33 (3212): called boinc_finish(0)

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