Nameexact_genome_1542692703_169_6371_2
Workunit4100359
Created20 Nov 2018, 7:33:51 UTC
Sent20 Nov 2018, 8:02:39 UTC
Report deadline12 Dec 2018, 15:53:12 UTC
Received22 Nov 2018, 0:06:52 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID80138
Run time5 hours 55 min 57 sec
CPU time5 hours 52 min 2 sec
Validate stateValid
Credit5,581.69
Device peak FLOPS4.49 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size523.61 MB
Peak swap size543.39 MB
Peak disk usage11.00 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_1542692703_169_6371.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_169_6371_2_r741028694_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542692703_169_6371.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: 25
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: 6371
read normal distribution: '0 -0.694985747337341 0.546245217323303'
generator_str: '846068857'
read generator: 846068857
read generated_by_map:
1 change_size_x 1
reading 89 nodes.
reading 347 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: 1390052812
post shuffle 1: 2014952263
epoch time: 764.8671875s, input_fired_time: 5.94913196563721, output_fired_time: 4.11329698562622, propagate_forward_time: 220.596145629883, propagate_backward_time: 528.005126953125, weight_update_time: 0.785740911960602, other_time: 6.2034912109375
epoch time: 45.9074211120605s, input_fired_time: 0.613100051879883, output_fired_time: 0, propagate_forward_time: 44.1658782958984, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.12844085693359
validation[          , genome  6371] predictions:    5130/  10000 (51.30%), best:    5130/10000 (51.30%), error:     16251.25586, best error:     16251.25586 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 768.4036254883s, input_fired_time: 5.9226317406, output_fired_time: 4.1338453293, propagate_forward_time: 221.1984100342, propagate_backward_time: 530.5930175781, weight_update_time: 0.7759725451, other_time: 6.5557250977
epoch time: 45.5268058777s, input_fired_time: 0.6026659608, output_fired_time: 0.0000000000, propagate_forward_time: 43.8113327026, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1128082275
validation[          , genome  6371] predictions:    5166/  10000 (51.66%), best:    5166/10000 (51.66%), error:     15948.44727, best error:     15948.44727 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 763.3445434570s, input_fired_time: 5.8656554222, output_fired_time: 4.0825142860, propagate_forward_time: 220.1101226807, propagate_backward_time: 526.9611816406, weight_update_time: 0.7781924605, other_time: 6.3250732422
epoch time: 45.9000549316s, input_fired_time: 0.6064704657, output_fired_time: 0.0000000000, propagate_forward_time: 44.1734733582, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1201095581
validation[          , genome  6371] predictions:    5100/  10000 (51.00%), best:    5166/10000 (51.66%), error:     17722.15039, best error:     15948.44727 on epoch:     1, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 767.8115844727s, input_fired_time: 5.9037117958, output_fired_time: 4.1374645233, propagate_forward_time: 221.7754821777, propagate_backward_time: 529.5867309570, weight_update_time: 0.7835118771, other_time: 6.4082641602
epoch time: 46.3376159668s, input_fired_time: 0.6106572151, output_fired_time: 0.0000000000, propagate_forward_time: 44.5310668945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1958923340
validation[          , genome  6371] predictions:    5114/  10000 (51.14%), best:    5114/10000 (51.14%), error:     15222.73633, best error:     15222.73633 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 766.7092285156s, input_fired_time: 5.8869061470, output_fired_time: 4.0993227959, propagate_forward_time: 221.0083618164, propagate_backward_time: 529.3738403320, weight_update_time: 0.7721268535, other_time: 6.3408203125
epoch time: 45.5061569214s, input_fired_time: 0.6021915078, output_fired_time: 0.0000000000, propagate_forward_time: 43.7923202515, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1116447449
validation[          , genome  6371] predictions:    5047/  10000 (50.47%), best:    5114/10000 (51.14%), error:     16086.83887, best error:     15222.73633 on epoch:     3, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 765.6185913086s, input_fired_time: 5.8585238457, output_fired_time: 4.0985522270, propagate_forward_time: 220.9041290283, propagate_backward_time: 528.2111816406, weight_update_time: 0.7773165703, other_time: 6.5462036133
epoch time: 45.8704109192s, input_fired_time: 0.6094903350, output_fired_time: 0.0000000000, propagate_forward_time: 44.1481933594, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1127281189
validation[          , genome  6371] predictions:    5334/  10000 (53.34%), best:    5334/10000 (53.34%), error:     15068.56152, best error:     15068.56152 on epoch:     5, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 763.0043945313s, input_fired_time: 5.8413963318, output_fired_time: 4.0839376450, propagate_forward_time: 219.8945312500, propagate_backward_time: 526.8569335938, weight_update_time: 0.7820253372, other_time: 6.3276367188
epoch time: 45.5233268738s, input_fired_time: 0.5912790895, output_fired_time: 0.0000000000, propagate_forward_time: 43.8197822571, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1122665405
validation[          , genome  6371] predictions:    5475/  10000 (54.75%), best:    5475/10000 (54.75%), error:     14333.96387, best error:     14333.96387 on epoch:     6, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 768.3710327148s, input_fired_time: 5.9109587669, output_fired_time: 4.1328878403, propagate_forward_time: 221.9227447510, propagate_backward_time: 529.9845581055, weight_update_time: 0.7899102569, other_time: 6.4199218750
epoch time: 47.1534805298s, input_fired_time: 0.6075853109, output_fired_time: 0.0000000000, propagate_forward_time: 45.3767814636, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1691131592
validation[          , genome  6371] predictions:    5240/  10000 (52.40%), best:    5475/10000 (54.75%), error:     14827.72949, best error:     14333.96387 on epoch:     6, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 764.3154907227s, input_fired_time: 5.9013566971, output_fired_time: 4.1445646286, propagate_forward_time: 220.7201995850, propagate_backward_time: 527.2027587891, weight_update_time: 0.7723700404, other_time: 6.3465576172
epoch time: 45.4671478271s, input_fired_time: 0.5996028781, output_fired_time: 0.0000000000, propagate_forward_time: 43.7536735535, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1138725281
validation[          , genome  6371] predictions:    5412/  10000 (54.12%), best:    5412/10000 (54.12%), error:     14054.88672, best error:     14054.88672 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 763.5068359375s, input_fired_time: 5.8534159660, output_fired_time: 4.0774335861, propagate_forward_time: 219.9467315674, propagate_backward_time: 526.8526611328, weight_update_time: 0.7918140292, other_time: 6.7766113281
epoch time: 45.8845291138s, input_fired_time: 0.6028132439, output_fired_time: 0.0000000000, propagate_forward_time: 44.1472015381, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1345138550
validation[          , genome  6371] predictions:    5225/  10000 (52.25%), best:    5412/10000 (54.12%), error:     15459.84473, best error:     14054.88672 on epoch:     8, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 765.0067749023s, input_fired_time: 5.8751654625, output_fired_time: 4.0920572281, propagate_forward_time: 220.7679901123, propagate_backward_time: 527.6146240234, weight_update_time: 0.7782579660, other_time: 6.6569213867
epoch time: 45.6623954773s, input_fired_time: 0.5970111489, output_fired_time: 0.0000000000, propagate_forward_time: 43.9421463013, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1232376099
validation[          , genome  6371] predictions:    5504/  10000 (55.04%), best:    5412/10000 (54.12%), error:     14163.99219, best error:     14054.88672 on epoch:     8, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 762.2817382813s, input_fired_time: 5.8673892021, output_fired_time: 4.0851016045, propagate_forward_time: 219.9416656494, propagate_backward_time: 526.0277709961, weight_update_time: 0.7764197588, other_time: 6.3598632813
epoch time: 45.6519470215s, input_fired_time: 0.6024723649, output_fired_time: 0.0000000000, propagate_forward_time: 43.9383811951, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1110916138
validation[          , genome  6371] predictions:    5461/  10000 (54.61%), best:    5412/10000 (54.12%), error:     14088.32324, best error:     14054.88672 on epoch:     8, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 762.1769409180s, input_fired_time: 5.9219751358, output_fired_time: 4.0872702599, propagate_forward_time: 219.7091674805, propagate_backward_time: 526.1144409180, weight_update_time: 0.7771346569, other_time: 6.3440551758
epoch time: 45.5981979370s, input_fired_time: 0.6011682749, output_fired_time: 0.0000000000, propagate_forward_time: 43.8450431824, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1519851685
validation[          , genome  6371] predictions:    5287/  10000 (52.87%), best:    5412/10000 (54.12%), error:     15008.04102, best error:     14054.88672 on epoch:     8, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 764.0630493164s, input_fired_time: 5.9189043045, output_fired_time: 4.1016540527, propagate_forward_time: 220.3768615723, propagate_backward_time: 527.3544311523, weight_update_time: 0.7793830633, other_time: 6.3112182617
epoch time: 45.6231307983s, input_fired_time: 0.6141784787, output_fired_time: 0.0000000000, propagate_forward_time: 43.8898925781, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1190605164
validation[          , genome  6371] predictions:    5418/  10000 (54.18%), best:    5418/10000 (54.18%), error:     14014.95703, best error:     14014.95703 on epoch:    13, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 763.4204711914s, input_fired_time: 5.9033360481, output_fired_time: 4.0766868591, propagate_forward_time: 220.1451873779, propagate_backward_time: 526.4522094727, weight_update_time: 0.7731829286, other_time: 6.8430786133
epoch time: 45.6428413391s, input_fired_time: 0.6116917133, output_fired_time: 0.0000000000, propagate_forward_time: 43.9132118225, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1179389954
validation[          , genome  6371] predictions:    5588/  10000 (55.88%), best:    5418/10000 (54.18%), error:     14084.59375, best error:     14014.95703 on epoch:    13, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 762.1077270508s, input_fired_time: 5.9015040398, output_fired_time: 4.0761694908, propagate_forward_time: 220.0145874023, propagate_backward_time: 525.5770263672, weight_update_time: 0.7726893425, other_time: 6.5384521484
epoch time: 45.5456390381s, input_fired_time: 0.6064037085, output_fired_time: 0.0000000000, propagate_forward_time: 43.8157463074, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1234893799
validation[          , genome  6371] predictions:    5511/  10000 (55.11%), best:    5418/10000 (54.18%), error:     14111.25391, best error:     14014.95703 on epoch:    13, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 763.4043579102s, input_fired_time: 5.9094262123, output_fired_time: 4.0676250458, propagate_forward_time: 220.1834869385, propagate_backward_time: 526.3743286133, weight_update_time: 0.7819609642, other_time: 6.8695068359
epoch time: 45.5754432678s, input_fired_time: 0.6132292151, output_fired_time: 0.0000000000, propagate_forward_time: 43.8528327942, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1093826294
validation[          , genome  6371] predictions:    5582/  10000 (55.82%), best:    5582/10000 (55.82%), error:     13717.78125, best error:     13717.78125 on epoch:    16, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 760.0629272461s, input_fired_time: 5.8880801201, output_fired_time: 4.0505242348, propagate_forward_time: 219.1741485596, propagate_backward_time: 524.0626831055, weight_update_time: 0.7644482851, other_time: 6.8875122070
epoch time: 45.8002700806s, input_fired_time: 0.6017826796, output_fired_time: 0.0000000000, propagate_forward_time: 44.0894508362, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1090354919
validation[          , genome  6371] predictions:    5621/  10000 (56.21%), best:    5621/10000 (56.21%), error:     13682.71387, best error:     13682.71387 on epoch:    17, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 760.3753662109s, input_fired_time: 5.9011354446, output_fired_time: 4.0523266792, propagate_forward_time: 219.2527160645, propagate_backward_time: 524.2931518555, weight_update_time: 0.7677951455, other_time: 6.8760375977
epoch time: 45.5302543640s, input_fired_time: 0.6083061099, output_fired_time: 0.0000000000, propagate_forward_time: 43.8174552917, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1044921875
validation[          , genome  6371] predictions:    5530/  10000 (55.30%), best:    5621/10000 (56.21%), error:     14200.50391, best error:     13682.71387 on epoch:    17, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 760.5966186523s, input_fired_time: 5.9143052101, output_fired_time: 4.0571150780, propagate_forward_time: 219.4041900635, propagate_backward_time: 524.4116210938, weight_update_time: 0.7674209476, other_time: 6.8093872070
epoch time: 45.4503936768s, input_fired_time: 0.6077279449, output_fired_time: 0.0000000000, propagate_forward_time: 43.7414665222, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1012001038
validation[          , genome  6371] predictions:    5710/  10000 (57.10%), best:    5710/10000 (57.10%), error:     12955.59863, best error:     12955.59863 on epoch:    19, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 760.0537109375s, input_fired_time: 5.9091658592, output_fired_time: 4.0413532257, propagate_forward_time: 219.0579681396, propagate_backward_time: 524.2142944336, weight_update_time: 0.7672862411, other_time: 6.8308715820
epoch time: 45.4696426392s, input_fired_time: 0.6039562225, output_fired_time: 0.0000000000, propagate_forward_time: 43.7572250366, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1084594727
validation[          , genome  6371] predictions:    5748/  10000 (57.48%), best:    5710/10000 (57.10%), error:     13025.41406, best error:     12955.59863 on epoch:    19, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 760.4306640625s, input_fired_time: 5.9152541161, output_fired_time: 4.0510425568, propagate_forward_time: 219.3288269043, propagate_backward_time: 524.3426513672, weight_update_time: 0.7663627863, other_time: 6.7928466797
epoch time: 45.4933624268s, input_fired_time: 0.6124311090, output_fired_time: 0.0000000000, propagate_forward_time: 43.7838516235, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0970802307
validation[          , genome  6371] predictions:    5575/  10000 (55.75%), best:    5710/10000 (57.10%), error:     13869.15039, best error:     12955.59863 on epoch:    19, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 759.9443969727s, input_fired_time: 5.9238309860, output_fired_time: 4.0533061028, propagate_forward_time: 219.2521972656, propagate_backward_time: 523.9047851563, weight_update_time: 0.7692128420, other_time: 6.8103027344
epoch time: 45.4958839417s, input_fired_time: 0.6073974967, output_fired_time: 0.0000000000, propagate_forward_time: 43.7806243896, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1078605652
validation[          , genome  6371] predictions:    5668/  10000 (56.68%), best:    5710/10000 (57.10%), error:     13868.02637, best error:     12955.59863 on epoch:    19, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 760.9356689453s, input_fired_time: 5.9297838211, output_fired_time: 4.1107821465, propagate_forward_time: 219.4179840088, propagate_backward_time: 524.6591796875, weight_update_time: 0.7671510577, other_time: 6.8179321289
epoch time: 45.5346183777s, input_fired_time: 0.6165496111, output_fired_time: 0.0000000000, propagate_forward_time: 43.8087348938, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1093330383
validation[          , genome  6371] predictions:    5802/  10000 (58.02%), best:    5802/10000 (58.02%), error:     12890.32031, best error:     12890.32031 on epoch:    23, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 760.4168090820s, input_fired_time: 5.9349627495, output_fired_time: 4.0509252548, propagate_forward_time: 219.1272125244, propagate_backward_time: 524.4913940430, weight_update_time: 0.7672546506, other_time: 6.8123779297
epoch time: 45.5203590393s, input_fired_time: 0.6102358699, output_fired_time: 0.0000000000, propagate_forward_time: 43.8032760620, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1068458557
validation[          , genome  6371] predictions:    5691/  10000 (56.91%), best:    5802/10000 (58.02%), error:     13620.56250, best error:     12890.32031 on epoch:    23, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 759.8995971680s, input_fired_time: 5.9147830009, output_fired_time: 4.0535774231, propagate_forward_time: 218.9715728760, propagate_backward_time: 524.1677856445, weight_update_time: 0.7702214122, other_time: 6.7918701172
epoch time: 45.5625038147s, input_fired_time: 0.6132166386, output_fired_time: 0.0000000000, propagate_forward_time: 43.8378372192, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1114501953
validation[          , genome  6371] predictions:    5753/  10000 (57.53%), best:    5802/10000 (58.02%), error:     13069.95801, best error:     12890.32031 on epoch:    23, epoch:   25/25, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 227.5233306885s, input_fired_time: 3.0747854710, output_fired_time: 0.0000000000, propagate_forward_time: 219.0381011963, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.4104461670
best training[          , genome  6371] predictions:   32956/  50000 (65.91%), best:    5802/10000 (58.02%), error:     50286.69922, best error:     12890.32031 on epoch:    23, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 47.0285186768s, input_fired_time: 0.6160235405, output_fired_time: 0.0000000000, propagate_forward_time: 43.8362503052, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5762443542
   testing[          , genome  6371] predictions:    5802/  10000 (58.02%), best:    5802/10000 (58.02%), error:     12890.32031, best error:     12890.32031 on epoch:    23, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
19:06:24 (9444): called boinc_finish(0)

</stderr_txt>
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