Nameexact_genome_1542649503_175_6320_1
Workunit4099002
Created19 Nov 2018, 23:44:15 UTC
Sent19 Nov 2018, 23:45:15 UTC
Report deadline15 Jan 2019, 19:41:24 UTC
Received16 Dec 2018, 11:41:39 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID79157
Run time14 hours 26 min 36 sec
CPU time14 hours 23 min 25 sec
Validate stateValid
Credit14,207.67
Device peak FLOPS4.43 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size534.51 MB
Peak swap size554.33 MB
Peak disk usage11.30 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_175_6320.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_175_6320_1_r1029919745_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542649503_175_6320.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: 6320
read normal distribution: '1 0 0'
generator_str: '662995636'
read generator: 662995636
read generated_by_map:
1 crossover 1
reading 94 nodes.
reading 378 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: 1822493616
post shuffle 1: 1205937284
epoch time: 953.240173339844s, input_fired_time: 9.36220455169678, output_fired_time: 6.29019784927368, propagate_forward_time: 266.716979980469, propagate_backward_time: 662.683715820313, weight_update_time: 0.768660545349121, other_time: 8.18707275390625
epoch time: 55.6261444091797s, input_fired_time: 0.962731719017029, output_fired_time: 0, propagate_forward_time: 53.2800369262695, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.38337707519531
validation[          , genome  6320] predictions:    5296/  10000 (52.96%), best:    5296/10000 (52.96%), error:     16329.02051, best error:     16329.02051 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 954.6828002930s, input_fired_time: 9.2532348633, output_fired_time: 6.2990036011, propagate_forward_time: 266.8368835449, propagate_backward_time: 663.9443969727, weight_update_time: 0.7723376751, other_time: 8.3493041992
epoch time: 55.6555709839s, input_fired_time: 0.9622437954, output_fired_time: 0.0000000000, propagate_forward_time: 53.3066368103, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3866920471
validation[          , genome  6320] predictions:    5193/  10000 (51.93%), best:    5296/10000 (52.96%), error:     16732.59570, best error:     16329.02051 on epoch:     0, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 954.7546997070s, input_fired_time: 9.2036209106, output_fired_time: 6.2948770523, propagate_forward_time: 266.8900451660, propagate_backward_time: 664.0095825195, weight_update_time: 0.7719023824, other_time: 8.3566284180
epoch time: 55.5986671448s, input_fired_time: 0.9437067509, output_fired_time: 0.0000000000, propagate_forward_time: 53.2737236023, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3812370300
validation[          , genome  6320] predictions:    5295/  10000 (52.95%), best:    5295/10000 (52.95%), error:     15470.42773, best error:     15470.42773 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 954.9149780273s, input_fired_time: 9.1625823975, output_fired_time: 6.3039107323, propagate_forward_time: 267.0860595703, propagate_backward_time: 664.0286254883, weight_update_time: 0.7724640369, other_time: 8.3338012695
epoch time: 55.7536888123s, input_fired_time: 0.9389988780, output_fired_time: 0.0000000000, propagate_forward_time: 53.4278259277, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3868637085
validation[          , genome  6320] predictions:    5462/  10000 (54.62%), best:    5462/10000 (54.62%), error:     14795.00781, best error:     14795.00781 on epoch:     3, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 954.6314086914s, input_fired_time: 9.1438598633, output_fired_time: 6.3025813103, propagate_forward_time: 266.8710632324, propagate_backward_time: 663.9282226563, weight_update_time: 0.7698994875, other_time: 8.3857421875
epoch time: 55.6737556458s, input_fired_time: 0.9471517801, output_fired_time: 0.0000000000, propagate_forward_time: 53.3495979309, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3770065308
validation[          , genome  6320] predictions:    5241/  10000 (52.41%), best:    5462/10000 (54.62%), error:     15013.49219, best error:     14795.00781 on epoch:     3, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 954.7953491211s, input_fired_time: 9.1330146790, output_fired_time: 6.3066902161, propagate_forward_time: 266.9123840332, propagate_backward_time: 664.0987548828, weight_update_time: 0.7705380917, other_time: 8.3444824219
epoch time: 55.6849403381s, input_fired_time: 0.9083639979, output_fired_time: 0.0000000000, propagate_forward_time: 53.3792724609, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3973045349
validation[          , genome  6320] predictions:    5345/  10000 (53.45%), best:    5345/10000 (53.45%), error:     14680.69922, best error:     14680.69922 on epoch:     5, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 954.9620361328s, input_fired_time: 9.1316413879, output_fired_time: 6.3034906387, propagate_forward_time: 267.2889404297, propagate_backward_time: 663.8955078125, weight_update_time: 0.7713587880, other_time: 8.3424682617
epoch time: 55.6060447693s, input_fired_time: 0.9069589972, output_fired_time: 0.0000000000, propagate_forward_time: 53.3148651123, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3842201233
validation[          , genome  6320] predictions:    5240/  10000 (52.40%), best:    5345/10000 (53.45%), error:     15599.28809, best error:     14680.69922 on epoch:     5, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 954.7657470703s, input_fired_time: 9.1278247833, output_fired_time: 6.3067317009, propagate_forward_time: 267.1824340820, propagate_backward_time: 663.7766723633, weight_update_time: 0.7692653537, other_time: 8.3721313477
epoch time: 55.6913375854s, input_fired_time: 0.9414911270, output_fired_time: 0.0000000000, propagate_forward_time: 53.3567962646, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3930511475
validation[          , genome  6320] predictions:    5400/  10000 (54.00%), best:    5400/10000 (54.00%), error:     14472.87109, best error:     14472.87109 on epoch:     7, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 957.8599243164s, input_fired_time: 9.1664199829, output_fired_time: 6.3362002373, propagate_forward_time: 268.0953063965, propagate_backward_time: 665.8945312500, weight_update_time: 0.7692983150, other_time: 8.3674316406
epoch time: 55.5064773560s, input_fired_time: 0.9171871543, output_fired_time: 0.0000000000, propagate_forward_time: 53.2105102539, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3787803650
validation[          , genome  6320] predictions:    5535/  10000 (55.35%), best:    5535/10000 (55.35%), error:     13769.28516, best error:     13769.28516 on epoch:     8, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 954.6064453125s, input_fired_time: 9.1110925674, output_fired_time: 6.2981495857, propagate_forward_time: 266.9628906250, propagate_backward_time: 663.8966064453, weight_update_time: 0.7713240385, other_time: 8.3377075195
epoch time: 55.6334877014s, input_fired_time: 0.9207491875, output_fired_time: 0.0000000000, propagate_forward_time: 53.3341331482, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3786048889
validation[          , genome  6320] predictions:    5528/  10000 (55.28%), best:    5535/10000 (55.35%), error:     13906.38379, best error:     13769.28516 on epoch:     8, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 954.7280883789s, input_fired_time: 9.1198959351, output_fired_time: 6.3029193878, propagate_forward_time: 266.9216918945, propagate_backward_time: 663.9544677734, weight_update_time: 0.7700068951, other_time: 8.4291381836
epoch time: 55.6753807068s, input_fired_time: 0.9315514565, output_fired_time: 0.0000000000, propagate_forward_time: 53.3634605408, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3803672791
validation[          , genome  6320] predictions:    5683/  10000 (56.83%), best:    5535/10000 (55.35%), error:     13859.72559, best error:     13769.28516 on epoch:     8, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 954.3196411133s, input_fired_time: 9.1299381256, output_fired_time: 6.3043503761, propagate_forward_time: 266.9219970703, propagate_backward_time: 663.6334838867, weight_update_time: 0.7677043080, other_time: 8.3298950195
epoch time: 55.7003898621s, input_fired_time: 0.9478816390, output_fired_time: 0.0000000000, propagate_forward_time: 53.3646736145, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3878364563
validation[          , genome  6320] predictions:    5710/  10000 (57.10%), best:    5710/10000 (57.10%), error:     13151.53613, best error:     13151.53613 on epoch:    11, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 955.2062988281s, input_fired_time: 9.1686658859, output_fired_time: 6.3098864555, propagate_forward_time: 267.1223144531, propagate_backward_time: 664.2338256836, weight_update_time: 0.7695987821, other_time: 8.3716430664
epoch time: 55.7360458374s, input_fired_time: 0.9565122128, output_fired_time: 0.0000000000, propagate_forward_time: 53.3951988220, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3843345642
validation[          , genome  6320] predictions:    5585/  10000 (55.85%), best:    5710/10000 (57.10%), error:     13455.52832, best error:     13151.53613 on epoch:    11, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 954.3331298828s, input_fired_time: 9.1445646286, output_fired_time: 6.3078107834, propagate_forward_time: 266.9744262695, propagate_backward_time: 663.5007324219, weight_update_time: 0.7712403536, other_time: 8.4055786133
epoch time: 55.8497581482s, input_fired_time: 0.9426498413, output_fired_time: 0.0000000000, propagate_forward_time: 53.4230499268, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4840583801
validation[          , genome  6320] predictions:    5634/  10000 (56.34%), best:    5710/10000 (57.10%), error:     13911.05664, best error:     13151.53613 on epoch:    11, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 955.8352661133s, input_fired_time: 9.1767683029, output_fired_time: 6.3164410591, propagate_forward_time: 267.3490905762, propagate_backward_time: 664.6477050781, weight_update_time: 0.7716122270, other_time: 8.3452148438
epoch time: 55.6576766968s, input_fired_time: 0.9117742777, output_fired_time: 0.0000000000, propagate_forward_time: 53.3063583374, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4395446777
validation[          , genome  6320] predictions:    5363/  10000 (53.63%), best:    5710/10000 (57.10%), error:     14849.80176, best error:     13151.53613 on epoch:    11, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 956.5392456055s, input_fired_time: 9.1780176163, output_fired_time: 6.3180642128, propagate_forward_time: 267.6474609375, propagate_backward_time: 664.9947509766, weight_update_time: 0.7703127861, other_time: 8.4009399414
epoch time: 55.8902511597s, input_fired_time: 0.9380168915, output_fired_time: 0.0000000000, propagate_forward_time: 53.5736770630, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3785552979
validation[          , genome  6320] predictions:    5376/  10000 (53.76%), best:    5710/10000 (57.10%), error:     14345.89551, best error:     13151.53613 on epoch:    11, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 956.8432617188s, input_fired_time: 9.2249727249, output_fired_time: 6.3204836845, propagate_forward_time: 267.4796447754, propagate_backward_time: 665.4750976563, weight_update_time: 0.7701896429, other_time: 8.3430175781
epoch time: 55.6876564026s, input_fired_time: 0.9460548162, output_fired_time: 0.0000000000, propagate_forward_time: 53.3557472229, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3858528137
validation[          , genome  6320] predictions:    5707/  10000 (57.07%), best:    5710/10000 (57.10%), error:     13392.35645, best error:     13151.53613 on epoch:    11, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 955.4486083984s, input_fired_time: 9.2189130783, output_fired_time: 6.3235034943, propagate_forward_time: 267.1774291992, propagate_backward_time: 664.2181396484, weight_update_time: 0.7702504396, other_time: 8.5106201172
epoch time: 55.7176589966s, input_fired_time: 0.9497620463, output_fired_time: 0.0000000000, propagate_forward_time: 53.2970466614, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4708518982
validation[          , genome  6320] predictions:    5455/  10000 (54.55%), best:    5710/10000 (57.10%), error:     14379.58691, best error:     13151.53613 on epoch:    11, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 955.6614379883s, input_fired_time: 9.2364482880, output_fired_time: 6.3135404587, propagate_forward_time: 267.4274902344, propagate_backward_time: 664.3175659180, weight_update_time: 0.7714710832, other_time: 8.3663940430
epoch time: 55.6874275208s, input_fired_time: 0.9583923221, output_fired_time: 0.0000000000, propagate_forward_time: 53.3301010132, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3989334106
validation[          , genome  6320] predictions:    5466/  10000 (54.66%), best:    5710/10000 (57.10%), error:     14487.21875, best error:     13151.53613 on epoch:    11, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 954.8536987305s, input_fired_time: 9.2271728516, output_fired_time: 6.2958369255, propagate_forward_time: 267.0400390625, propagate_backward_time: 663.9128417969, weight_update_time: 0.7694977522, other_time: 8.3778076172
epoch time: 55.6059799194s, input_fired_time: 0.9472328424, output_fired_time: 0.0000000000, propagate_forward_time: 53.2725830078, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3861656189
validation[          , genome  6320] predictions:    5783/  10000 (57.83%), best:    5710/10000 (57.10%), error:     13184.20313, best error:     13151.53613 on epoch:    11, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 955.4760742188s, input_fired_time: 9.2464761734, output_fired_time: 6.3067197800, propagate_forward_time: 267.0227966309, propagate_backward_time: 664.3610839844, weight_update_time: 0.7696300149, other_time: 8.5390625000
epoch time: 55.6803436279s, input_fired_time: 0.9595930576, output_fired_time: 0.0000000000, propagate_forward_time: 53.2238349915, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4969139099
validation[          , genome  6320] predictions:    5740/  10000 (57.40%), best:    5710/10000 (57.10%), error:     13301.85352, best error:     13151.53613 on epoch:    11, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 955.1587524414s, input_fired_time: 9.2580413818, output_fired_time: 6.3009381294, propagate_forward_time: 267.0864562988, propagate_backward_time: 663.8126831055, weight_update_time: 0.7727631927, other_time: 8.7006225586
epoch time: 55.6561355591s, input_fired_time: 0.9550822973, output_fired_time: 0.0000000000, propagate_forward_time: 53.3176803589, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3833732605
validation[          , genome  6320] predictions:    5708/  10000 (57.08%), best:    5710/10000 (57.10%), error:     13798.89160, best error:     13151.53613 on epoch:    11, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 956.9020385742s, input_fired_time: 9.2862730026, output_fired_time: 6.3160824776, propagate_forward_time: 267.3696899414, propagate_backward_time: 665.3184204102, weight_update_time: 0.7719142437, other_time: 8.6115722656
epoch time: 55.9116210938s, input_fired_time: 0.9673309922, output_fired_time: 0.0000000000, propagate_forward_time: 53.5702819824, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3740081787
validation[          , genome  6320] predictions:    5873/  10000 (58.73%), best:    5873/10000 (58.73%), error:     12584.87012, best error:     12584.87012 on epoch:    22, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 955.7360839844s, input_fired_time: 9.2858562469, output_fired_time: 6.3099989891, propagate_forward_time: 267.0744018555, propagate_backward_time: 664.4193725586, weight_update_time: 0.7698526978, other_time: 8.6464843750
epoch time: 55.6613273621s, input_fired_time: 0.9604002833, output_fired_time: 0.0000000000, propagate_forward_time: 53.3138084412, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3871192932
validation[          , genome  6320] predictions:    5795/  10000 (57.95%), best:    5873/10000 (58.73%), error:     13155.37988, best error:     12584.87012 on epoch:    22, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 955.2786865234s, input_fired_time: 9.3058958054, output_fired_time: 6.3117828369, propagate_forward_time: 267.0671997070, propagate_backward_time: 663.9478759766, weight_update_time: 0.7705588937, other_time: 8.6459350586
epoch time: 57.1545333862s, input_fired_time: 0.9720247388, output_fired_time: 0.0000000000, propagate_forward_time: 53.4515953064, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7309150696
validation[          , genome  6320] predictions:    5967/  10000 (59.67%), best:    5967/10000 (59.67%), error:     12260.62695, best error:     12260.62695 on epoch:    24, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 955.8084716797s, input_fired_time: 9.3205080032, output_fired_time: 6.3023400307, propagate_forward_time: 267.2961120605, propagate_backward_time: 664.3595581055, weight_update_time: 0.7710730433, other_time: 8.5299682617
epoch time: 56.7799377441s, input_fired_time: 0.9646908641, output_fired_time: 0.0000000000, propagate_forward_time: 53.4190788269, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3961677551
validation[          , genome  6320] predictions:    5851/  10000 (58.51%), best:    5967/10000 (59.67%), error:     13002.61816, best error:     12260.62695 on epoch:    24, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 956.1762084961s, input_fired_time: 9.3327150345, output_fired_time: 6.3124647141, propagate_forward_time: 267.2586059570, propagate_backward_time: 664.6909179688, weight_update_time: 0.7700382471, other_time: 8.5815429688
epoch time: 55.6345596313s, input_fired_time: 0.9670638442, output_fired_time: 0.0000000000, propagate_forward_time: 53.2798194885, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3876762390
validation[          , genome  6320] predictions:    5731/  10000 (57.31%), best:    5967/10000 (59.67%), error:     13215.38379, best error:     12260.62695 on epoch:    24, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 955.0648803711s, input_fired_time: 9.3204851151, output_fired_time: 6.3182020187, propagate_forward_time: 267.1015014648, propagate_backward_time: 663.8740844727, weight_update_time: 0.7679525614, other_time: 8.4506225586
epoch time: 55.7324485779s, input_fired_time: 0.9695749283, output_fired_time: 0.0000000000, propagate_forward_time: 53.3717346191, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3911399841
validation[          , genome  6320] predictions:    5851/  10000 (58.51%), best:    5967/10000 (59.67%), error:     13024.26270, best error:     12260.62695 on epoch:    24, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 955.5966186523s, input_fired_time: 9.3503894806, output_fired_time: 6.2979364395, propagate_forward_time: 267.2187500000, propagate_backward_time: 664.1512451172, weight_update_time: 0.7699054480, other_time: 8.5783081055
epoch time: 55.6903190613s, input_fired_time: 0.9826195836, output_fired_time: 0.0000000000, propagate_forward_time: 53.3109931946, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3967056274
validation[          , genome  6320] predictions:    6062/  10000 (60.62%), best:    5967/10000 (59.67%), error:     12289.24121, best error:     12260.62695 on epoch:    24, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 955.0309448242s, input_fired_time: 9.3723430634, output_fired_time: 6.3080291748, propagate_forward_time: 266.9753723145, propagate_backward_time: 663.8892211914, weight_update_time: 0.7749249339, other_time: 8.4860229492
epoch time: 55.6586189270s, input_fired_time: 0.9726489782, output_fired_time: 0.0000000000, propagate_forward_time: 53.2908325195, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3951377869
validation[          , genome  6320] predictions:    5956/  10000 (59.56%), best:    5967/10000 (59.67%), error:     12644.56836, best error:     12260.62695 on epoch:    24, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 955.0198364258s, input_fired_time: 9.3838577271, output_fired_time: 6.2997908592, propagate_forward_time: 266.9296875000, propagate_backward_time: 663.8502197266, weight_update_time: 0.7687628865, other_time: 8.5562744141
epoch time: 55.6311302185s, input_fired_time: 0.9818940759, output_fired_time: 0.0000000000, propagate_forward_time: 53.2653007507, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3839340210
validation[          , genome  6320] predictions:    6012/  10000 (60.12%), best:    5967/10000 (59.67%), error:     12310.61621, best error:     12260.62695 on epoch:    24, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 957.2092895508s, input_fired_time: 9.3870859146, output_fired_time: 6.3197512627, propagate_forward_time: 267.7063598633, propagate_backward_time: 665.1213989258, weight_update_time: 0.7683215737, other_time: 8.6746826172
epoch time: 55.7517700195s, input_fired_time: 0.9782908559, output_fired_time: 0.0000000000, propagate_forward_time: 53.3733520508, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4001274109
validation[          , genome  6320] predictions:    6095/  10000 (60.95%), best:    6095/10000 (60.95%), error:     12066.64453, best error:     12066.64453 on epoch:    31, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 954.9901123047s, input_fired_time: 9.3971214294, output_fired_time: 6.3004202843, propagate_forward_time: 266.9956359863, propagate_backward_time: 663.6436767578, weight_update_time: 0.7695543766, other_time: 8.6533203125
epoch time: 55.6377525330s, input_fired_time: 0.9793190360, output_fired_time: 0.0000000000, propagate_forward_time: 53.2718925476, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3865394592
validation[          , genome  6320] predictions:    5978/  10000 (59.78%), best:    6095/10000 (60.95%), error:     12692.74219, best error:     12066.64453 on epoch:    31, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 954.9136352539s, input_fired_time: 9.4103975296, output_fired_time: 6.3029417992, propagate_forward_time: 267.1656799316, propagate_backward_time: 663.5524291992, weight_update_time: 0.7693129182, other_time: 8.4822387695
epoch time: 55.6302261353s, input_fired_time: 0.9859799743, output_fired_time: 0.0000000000, propagate_forward_time: 53.2569618225, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3872833252
validation[          , genome  6320] predictions:    5708/  10000 (57.08%), best:    6095/10000 (60.95%), error:     13486.23535, best error:     12066.64453 on epoch:    31, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 954.9964599609s, input_fired_time: 9.4203891754, output_fired_time: 6.3093013763, propagate_forward_time: 267.0611572266, propagate_backward_time: 663.6948852539, weight_update_time: 0.7695577741, other_time: 8.5106811523
epoch time: 55.7115097046s, input_fired_time: 0.9969763756, output_fired_time: 0.0000000000, propagate_forward_time: 53.3339157104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3806190491
validation[          , genome  6320] predictions:    6007/  10000 (60.07%), best:    6095/10000 (60.95%), error:     12215.60254, best error:     12066.64453 on epoch:    31, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 955.7354125977s, input_fired_time: 9.4089174271, output_fired_time: 6.3004465103, propagate_forward_time: 267.0472717285, propagate_backward_time: 664.4229125977, weight_update_time: 0.7692486644, other_time: 8.5558471680
epoch time: 55.7053794861s, input_fired_time: 0.9908925891, output_fired_time: 0.0000000000, propagate_forward_time: 53.3196830750, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3948020935
validation[          , genome  6320] predictions:    5857/  10000 (58.57%), best:    6095/10000 (60.95%), error:     13286.65820, best error:     12066.64453 on epoch:    31, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 957.3955078125s, input_fired_time: 9.4684839249, output_fired_time: 6.3114151955, propagate_forward_time: 267.5682678223, propagate_backward_time: 665.3521728516, weight_update_time: 0.7730687857, other_time: 8.6951904297
epoch time: 57.0755844116s, input_fired_time: 0.9928436875, output_fired_time: 0.0000000000, propagate_forward_time: 53.3503761292, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7323646545
validation[          , genome  6320] predictions:    6056/  10000 (60.56%), best:    6095/10000 (60.95%), error:     12272.47754, best error:     12066.64453 on epoch:    31, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 955.0982055664s, input_fired_time: 9.4614086151, output_fired_time: 6.3150134087, propagate_forward_time: 266.7902832031, propagate_backward_time: 663.8699951172, weight_update_time: 0.7702891231, other_time: 8.6614990234
epoch time: 56.9203224182s, input_fired_time: 1.0062832832, output_fired_time: 0.0000000000, propagate_forward_time: 53.2791786194, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6348609924
validation[          , genome  6320] predictions:    6020/  10000 (60.20%), best:    6095/10000 (60.95%), error:     12256.73242, best error:     12066.64453 on epoch:    31, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 955.4464721680s, input_fired_time: 9.4397983551, output_fired_time: 6.3052010536, propagate_forward_time: 267.0005187988, propagate_backward_time: 664.0916748047, weight_update_time: 0.7678376436, other_time: 8.6092529297
epoch time: 56.0849838257s, input_fired_time: 0.9997217655, output_fired_time: 0.0000000000, propagate_forward_time: 53.6945915222, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3906707764
validation[          , genome  6320] predictions:    6114/  10000 (61.14%), best:    6095/10000 (60.95%), error:     12182.13477, best error:     12066.64453 on epoch:    31, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 956.2046508789s, input_fired_time: 9.4799966812, output_fired_time: 6.3049173355, propagate_forward_time: 267.3719787598, propagate_backward_time: 664.4048461914, weight_update_time: 0.7686971426, other_time: 8.6428833008
epoch time: 55.7405700684s, input_fired_time: 1.0186338425, output_fired_time: 0.0000000000, propagate_forward_time: 53.3288078308, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3931274414
validation[          , genome  6320] predictions:    6112/  10000 (61.12%), best:    6112/10000 (61.12%), error:     12050.96094, best error:     12050.96094 on epoch:    39, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 954.6392211914s, input_fired_time: 9.4701137543, output_fired_time: 6.3044600487, propagate_forward_time: 266.9071350098, propagate_backward_time: 663.5614624023, weight_update_time: 0.7706591487, other_time: 8.3960571289
epoch time: 55.6540031433s, input_fired_time: 1.0006295443, output_fired_time: 0.0000000000, propagate_forward_time: 53.2653465271, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3880271912
validation[          , genome  6320] predictions:    6068/  10000 (60.68%), best:    6112/10000 (61.12%), error:     12301.19629, best error:     12050.96094 on epoch:    39, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 956.7146606445s, input_fired_time: 9.5121784210, output_fired_time: 6.3067450523, propagate_forward_time: 267.4668273926, propagate_backward_time: 665.0486450195, weight_update_time: 0.7727172375, other_time: 8.3801879883
epoch time: 55.6989517212s, input_fired_time: 1.0078887939, output_fired_time: 0.0000000000, propagate_forward_time: 53.3084602356, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3826026917
validation[          , genome  6320] predictions:    6148/  10000 (61.48%), best:    6112/10000 (61.12%), error:     12099.09180, best error:     12050.96094 on epoch:    39, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 956.3977050781s, input_fired_time: 9.5164508820, output_fired_time: 6.3129472733, propagate_forward_time: 267.4308166504, propagate_backward_time: 664.7736816406, weight_update_time: 0.7734116316, other_time: 8.3637695313
epoch time: 55.7882041931s, input_fired_time: 1.0246622562, output_fired_time: 0.0000000000, propagate_forward_time: 53.3832397461, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3803024292
validation[          , genome  6320] predictions:    6067/  10000 (60.67%), best:    6112/10000 (61.12%), error:     12486.63574, best error:     12050.96094 on epoch:    39, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 958.2912597656s, input_fired_time: 9.5935869217, output_fired_time: 6.3510260582, propagate_forward_time: 267.7261047363, propagate_backward_time: 666.2619628906, weight_update_time: 0.7714782357, other_time: 8.3586425781
epoch time: 55.8852729797s, input_fired_time: 1.0205690861, output_fired_time: 0.0000000000, propagate_forward_time: 53.4893188477, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3753852844
validation[          , genome  6320] predictions:    6202/  10000 (62.02%), best:    6202/10000 (62.02%), error:     11661.51367, best error:     11661.51367 on epoch:    43, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 957.4172973633s, input_fired_time: 9.5573472977, output_fired_time: 6.3221755028, propagate_forward_time: 267.6106262207, propagate_backward_time: 665.4700927734, weight_update_time: 0.7717313170, other_time: 8.4570312500
epoch time: 56.0021286011s, input_fired_time: 1.0120669603, output_fired_time: 0.0000000000, propagate_forward_time: 53.6001091003, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3899536133
validation[          , genome  6320] predictions:    6213/  10000 (62.13%), best:    6202/10000 (62.02%), error:     11772.21582, best error:     11661.51367 on epoch:    43, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 955.6562500000s, input_fired_time: 9.5417366028, output_fired_time: 6.3090534210, propagate_forward_time: 267.1171264648, propagate_backward_time: 664.3273315430, weight_update_time: 0.7699686289, other_time: 8.3609619141
epoch time: 56.0025444031s, input_fired_time: 1.0164811611, output_fired_time: 0.0000000000, propagate_forward_time: 53.6002769470, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3857879639
validation[          , genome  6320] predictions:    6160/  10000 (61.60%), best:    6202/10000 (62.02%), error:     12121.21680, best error:     11661.51367 on epoch:    43, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 956.8811035156s, input_fired_time: 9.5787248611, output_fired_time: 6.3177671432, propagate_forward_time: 267.6385192871, propagate_backward_time: 665.0457763672, weight_update_time: 0.7698895931, other_time: 8.3002929688
epoch time: 55.8286247253s, input_fired_time: 1.0189017057, output_fired_time: 0.0000000000, propagate_forward_time: 53.4328346252, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3768882751
validation[          , genome  6320] predictions:    5973/  10000 (59.73%), best:    6202/10000 (62.02%), error:     12791.41699, best error:     11661.51367 on epoch:    43, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 956.3613281250s, input_fired_time: 9.5640869141, output_fired_time: 6.3103265762, propagate_forward_time: 267.3913574219, propagate_backward_time: 664.7357177734, weight_update_time: 0.7715007067, other_time: 8.3598632813
epoch time: 55.8027343750s, input_fired_time: 1.0132832527, output_fired_time: 0.0000000000, propagate_forward_time: 53.3971557617, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3922958374
validation[          , genome  6320] predictions:    6125/  10000 (61.25%), best:    6202/10000 (62.02%), error:     11960.69043, best error:     11661.51367 on epoch:    43, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 956.1195678711s, input_fired_time: 9.5569849014, output_fired_time: 6.3077325821, propagate_forward_time: 267.1915588379, propagate_backward_time: 664.7147827148, weight_update_time: 0.7694959641, other_time: 8.3484497070
epoch time: 55.6569328308s, input_fired_time: 1.0048842430, output_fired_time: 0.0000000000, propagate_forward_time: 53.2742729187, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3777770996
validation[          , genome  6320] predictions:    6109/  10000 (61.09%), best:    6202/10000 (62.02%), error:     12276.71582, best error:     11661.51367 on epoch:    43, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 955.6436767578s, input_fired_time: 9.5765657425, output_fired_time: 6.3031921387, propagate_forward_time: 267.0616455078, propagate_backward_time: 664.3350830078, weight_update_time: 0.7762776017, other_time: 8.3671875000
epoch time: 55.7197494507s, input_fired_time: 1.0294712782, output_fired_time: 0.0000000000, propagate_forward_time: 53.3079986572, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3822784424
validation[          , genome  6320] predictions:    6158/  10000 (61.58%), best:    6202/10000 (62.02%), error:     12188.70117, best error:     11661.51367 on epoch:    43, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 955.8453369141s, input_fired_time: 9.5760488510, output_fired_time: 6.3041772842, propagate_forward_time: 267.4271850586, propagate_backward_time: 664.1853027344, weight_update_time: 0.7716922164, other_time: 8.3526000977
epoch time: 55.6595268250s, input_fired_time: 1.0136414766, output_fired_time: 0.0000000000, propagate_forward_time: 53.2545394897, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3913459778
validation[          , genome  6320] predictions:    6109/  10000 (61.09%), best:    6202/10000 (62.02%), error:     12096.52832, best error:     11661.51367 on epoch:    43, 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: 278.5402832031s, input_fired_time: 5.0810775757, output_fired_time: 0.0000000000, propagate_forward_time: 266.5749511719, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.8842468262
best training[          , genome  6320] predictions:   37340/  50000 (74.68%), best:    6202/10000 (62.02%), error:     36606.25781, best error:     11661.51367 on epoch:    43, 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: 57.1184196472s, input_fired_time: 1.0136010647, output_fired_time: 0.0000000000, propagate_forward_time: 53.3360481262, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7687721252
   testing[          , genome  6320] predictions:    6202/  10000 (62.02%), best:    6202/10000 (62.02%), error:     11661.51367, best error:     11661.51367 on epoch:    43, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
05:41:10 (9224): called boinc_finish(0)

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