Nameexact_genome_1512568488_44_3701_2
Workunit2589789
Created7 Dec 2017, 8:01:24 UTC
Sent7 Dec 2017, 8:05:23 UTC
Report deadline11 Dec 2017, 4:31:26 UTC
Received7 Dec 2017, 8:59:03 UTC
Server stateOver
OutcomeComputation error
Client stateCompute error
Exit status194 (0xc2) EXIT_ABORTED_BY_CLIENT
Computer ID49051
Run time52 min 16 sec
CPU time52 min 3 sec
Validate stateInvalid
Credit0.00
Device peak FLOPS1.56 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size151.69 MB
Peak swap size156.48 MB
Peak disk usage1.55 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<message>
(unknown error) - exit code 194 (0xc2)</message>
<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/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_3701.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_3701_2_r1711677842_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_3701.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: 100
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: 3701
read normal distribution: '0 0.605603039264679 1.16303813457489'
generator_str: '372789163'
read generator: 372789163
read generated_by_map:
1 add_node 1
reading 15 nodes.
reading 26 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 0
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
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: 1x28x28 = 784
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: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
generator min: 1, generator max: 2147483646
pre shuffle 1: 1257664242
post shuffle 1: 1351278379
epoch time: 65.5926742553711s, input_fired_time: 0.827127456665039, output_fired_time: 0.743200421333313, propagate_forward_time: 24.3156185150146, propagate_backward_time: 36.9055290222168, weight_update_time: 0.139500215649605, other_time: 2.80119705200195
epoch time: 5.26925992965698s, input_fired_time: 0.0995522662997246, output_fired_time: 0, propagate_forward_time: 4.70576333999634, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.463944435119629
validation[          , genome  3701] predictions:    9565/  10000 (95.65%), best:    9565/10000 (95.65%), error:      1542.87817, best error:      1542.87817 on epoch:     0, epoch:    0/100, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 65.3479766846s, input_fired_time: 0.8121013641, output_fired_time: 0.7452580929, propagate_forward_time: 24.1986293793, propagate_backward_time: 36.7881851196, weight_update_time: 0.1395513713, other_time: 2.8038024902
epoch time: 5.3998885155s, input_fired_time: 0.1006648540, output_fired_time: 0.0000000000, propagate_forward_time: 4.8281879425, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4710359573
validation[          , genome  3701] predictions:    9555/  10000 (95.55%), best:    9565/10000 (95.65%), error:      1604.33521, best error:      1542.87817 on epoch:     0, epoch:    1/100, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 64.9455642700s, input_fired_time: 0.7910609245, output_fired_time: 0.7363144159, propagate_forward_time: 24.0963115692, propagate_backward_time: 36.5829124451, weight_update_time: 0.1374480873, other_time: 2.7389640808
epoch time: 5.4683742523s, input_fired_time: 0.0988667160, output_fired_time: 0.0000000000, propagate_forward_time: 4.8968768120, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4726305008
validation[          , genome  3701] predictions:    9573/  10000 (95.73%), best:    9573/10000 (95.73%), error:      1486.24915, best error:      1486.24915 on epoch:     2, epoch:    2/100, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 65.5161666870s, input_fired_time: 0.7988005877, output_fired_time: 0.7452375889, propagate_forward_time: 24.3267459869, propagate_backward_time: 36.8609428406, weight_update_time: 0.1392467469, other_time: 2.7844429016
epoch time: 5.4538450241s, input_fired_time: 0.0998005942, output_fired_time: 0.0000000000, propagate_forward_time: 4.8775200844, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4765243530
validation[          , genome  3701] predictions:    9571/  10000 (95.71%), best:    9573/10000 (95.73%), error:      1503.82275, best error:      1486.24915 on epoch:     2, epoch:    3/100, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 65.2847290039s, input_fired_time: 0.7968488932, output_fired_time: 0.7413028479, propagate_forward_time: 24.2253112793, propagate_backward_time: 36.7097206116, weight_update_time: 0.1397838145, other_time: 2.8115425110
epoch time: 5.3241086006s, input_fired_time: 0.0955095217, output_fired_time: 0.0000000000, propagate_forward_time: 4.7681803703, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4604187012
validation[          , genome  3701] predictions:    9567/  10000 (95.67%), best:    9567/10000 (95.67%), error:      1482.17139, best error:      1482.17139 on epoch:     4, epoch:    4/100, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 65.0520477295s, input_fired_time: 0.7900426984, output_fired_time: 0.7386316061, propagate_forward_time: 24.1070709229, propagate_backward_time: 36.6776618958, weight_update_time: 0.1370932460, other_time: 2.7386436462
epoch time: 5.3317956924s, input_fired_time: 0.0949355736, output_fired_time: 0.0000000000, propagate_forward_time: 4.7814593315, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4554009438
validation[          , genome  3701] predictions:    9535/  10000 (95.35%), best:    9567/10000 (95.67%), error:      1510.00330, best error:      1482.17139 on epoch:     4, epoch:    5/100, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 65.6507110596s, input_fired_time: 0.7980623245, output_fired_time: 0.7452162504, propagate_forward_time: 24.3274555206, propagate_backward_time: 36.9808464050, weight_update_time: 0.1398498863, other_time: 2.7991294861
epoch time: 5.4341182709s, input_fired_time: 0.1003822312, output_fired_time: 0.0000000000, propagate_forward_time: 4.8465414047, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4871945381
validation[          , genome  3701] predictions:    9530/  10000 (95.30%), best:    9567/10000 (95.67%), error:      1495.67676, best error:      1482.17139 on epoch:     4, epoch:    6/100, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 65.4211730957s, input_fired_time: 0.7964627743, output_fired_time: 0.7425594330, propagate_forward_time: 24.3427715302, propagate_backward_time: 36.7930946350, weight_update_time: 0.1378254443, other_time: 2.7462806702
epoch time: 5.4615216255s, input_fired_time: 0.0982461870, output_fired_time: 0.0000000000, propagate_forward_time: 4.8926134109, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4706621170
validation[          , genome  3701] predictions:    9561/  10000 (95.61%), best:    9567/10000 (95.67%), error:      1505.90430, best error:      1482.17139 on epoch:     4, epoch:    7/100, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 65.4332733154s, input_fired_time: 0.8040534854, output_fired_time: 0.7449342012, propagate_forward_time: 24.2904701233, propagate_backward_time: 36.7712974548, weight_update_time: 0.1402538121, other_time: 2.8225173950
epoch time: 5.4509172440s, input_fired_time: 0.0965197012, output_fired_time: 0.0000000000, propagate_forward_time: 4.8930759430, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4613218307
validation[          , genome  3701] predictions:    9551/  10000 (95.51%), best:    9567/10000 (95.67%), error:      1500.98718, best error:      1482.17139 on epoch:     4, epoch:    8/100, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 65.4537124634s, input_fired_time: 0.7970240712, output_fired_time: 0.7428132296, propagate_forward_time: 24.2991142273, propagate_backward_time: 36.8602943420, weight_update_time: 0.1381965876, other_time: 2.7544631958
epoch time: 5.3794245720s, input_fired_time: 0.0964413732, output_fired_time: 0.0000000000, propagate_forward_time: 4.8229103088, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4600729942
validation[          , genome  3701] predictions:    9497/  10000 (94.97%), best:    9567/10000 (95.67%), error:      1733.16431, best error:      1482.17139 on epoch:     4, epoch:    9/100, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 65.2527465820s, input_fired_time: 0.7967503071, output_fired_time: 0.7419744134, propagate_forward_time: 24.2124118805, propagate_backward_time: 36.7376098633, weight_update_time: 0.1377455145, other_time: 2.7639999390
epoch time: 5.4658455849s, input_fired_time: 0.1008758172, output_fired_time: 0.0000000000, propagate_forward_time: 4.8829050064, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4820647240
validation[          , genome  3701] predictions:    9560/  10000 (95.60%), best:    9560/10000 (95.60%), error:      1480.05359, best error:      1480.05359 on epoch:    10, epoch:   10/100, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 65.2707290649s, input_fired_time: 0.8027930856, output_fired_time: 0.7423079610, propagate_forward_time: 24.2188701630, propagate_backward_time: 36.7143707275, weight_update_time: 0.1378653347, other_time: 2.7923812866
epoch time: 5.4415493011s, input_fired_time: 0.0970127583, output_fired_time: 0.0000000000, propagate_forward_time: 4.8858895302, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4586472511
validation[          , genome  3701] predictions:    9640/  10000 (96.40%), best:    9640/10000 (96.40%), error:      1281.24561, best error:      1281.24561 on epoch:    11, epoch:   11/100, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 65.3110504150s, input_fired_time: 0.7985122800, output_fired_time: 0.7410889268, propagate_forward_time: 24.2294940948, propagate_backward_time: 36.7833213806, weight_update_time: 0.1380476505, other_time: 2.7586326599
epoch time: 5.5074653625s, input_fired_time: 0.1037813723, output_fired_time: 0.0000000000, propagate_forward_time: 4.9108672142, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4928169250
validation[          , genome  3701] predictions:    9632/  10000 (96.32%), best:    9632/10000 (96.32%), error:      1247.65930, best error:      1247.65930 on epoch:    12, epoch:   12/100, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 65.2043457031s, input_fired_time: 0.8044839501, output_fired_time: 0.7415427566, propagate_forward_time: 24.1436824799, propagate_backward_time: 36.7363128662, weight_update_time: 0.1382600963, other_time: 2.7783279419
epoch time: 5.4394669533s, input_fired_time: 0.1010698229, output_fired_time: 0.0000000000, propagate_forward_time: 4.8638958931, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4745011330
validation[          , genome  3701] predictions:    9627/  10000 (96.27%), best:    9632/10000 (96.32%), error:      1273.49402, best error:      1247.65930 on epoch:    12, epoch:   13/100, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 65.2741546631s, input_fired_time: 0.8022248149, output_fired_time: 0.7405741811, propagate_forward_time: 24.1851272583, propagate_backward_time: 36.7534942627, weight_update_time: 0.1390777826, other_time: 2.7927360535
epoch time: 5.3958129883s, input_fired_time: 0.0991564915, output_fired_time: 0.0000000000, propagate_forward_time: 4.8257217407, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4709348679
validation[          , genome  3701] predictions:    9560/  10000 (95.60%), best:    9632/10000 (96.32%), error:      1372.22937, best error:      1247.65930 on epoch:    12, epoch:   14/100, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 65.9372634888s, input_fired_time: 0.7856924534, output_fired_time: 0.7401605844, propagate_forward_time: 24.8236541748, propagate_backward_time: 36.8757476807, weight_update_time: 0.1322476268, other_time: 2.7120132446
epoch time: 5.3984494209s, input_fired_time: 0.0973875225, output_fired_time: 0.0000000000, propagate_forward_time: 4.8347015381, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4663605690
validation[          , genome  3701] predictions:    9610/  10000 (96.10%), best:    9632/10000 (96.32%), error:      1324.45227, best error:      1247.65930 on epoch:    12, epoch:   15/100, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 65.0645294189s, input_fired_time: 0.7847213745, output_fired_time: 0.7364504337, propagate_forward_time: 24.2024211884, propagate_backward_time: 36.6825065613, weight_update_time: 0.1326198876, other_time: 2.6584281921
epoch time: 5.3798084259s, input_fired_time: 0.0974551365, output_fired_time: 0.0000000000, propagate_forward_time: 4.8261890411, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4561643600
validation[          , genome  3701] predictions:    9628/  10000 (96.28%), best:    9632/10000 (96.32%), error:      1342.70142, best error:      1247.65930 on epoch:    12, epoch:   16/100, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 67.0268478394s, input_fired_time: 0.7954797745, output_fired_time: 0.7462780476, propagate_forward_time: 24.5764312744, propagate_backward_time: 38.2706527710, weight_update_time: 0.1330329627, other_time: 2.6380081177
epoch time: 5.5284199715s, input_fired_time: 0.1011804566, output_fired_time: 0.0000000000, propagate_forward_time: 4.9428219795, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4844174385
validation[          , genome  3701] predictions:    9643/  10000 (96.43%), best:    9632/10000 (96.32%), error:      1264.07361, best error:      1247.65930 on epoch:    12, epoch:   17/100, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 65.6418533325s, input_fired_time: 0.7948399186, output_fired_time: 0.7490006685, propagate_forward_time: 24.4325275421, propagate_backward_time: 36.9955406189, weight_update_time: 0.1344497353, other_time: 2.6699485779
epoch time: 5.4362096786s, input_fired_time: 0.0974377319, output_fired_time: 0.0000000000, propagate_forward_time: 4.8826174736, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4561543465
validation[          , genome  3701] predictions:    9605/  10000 (96.05%), best:    9632/10000 (96.32%), error:      1278.18347, best error:      1247.65930 on epoch:    12, epoch:   18/100, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 65.4043579102s, input_fired_time: 0.7959700823, output_fired_time: 0.7427912951, propagate_forward_time: 24.3506240845, propagate_backward_time: 36.8923797607, weight_update_time: 0.1317914873, other_time: 2.6225967407
epoch time: 5.5713515282s, input_fired_time: 0.1006310433, output_fired_time: 0.0000000000, propagate_forward_time: 5.0050516129, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4656686783
validation[          , genome  3701] predictions:    9582/  10000 (95.82%), best:    9632/10000 (96.32%), error:      1385.78833, best error:      1247.65930 on epoch:    12, epoch:   19/100, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 66.0465011597s, input_fired_time: 0.7995162010, output_fired_time: 0.7465858459, propagate_forward_time: 24.5765399933, propagate_backward_time: 37.1982879639, weight_update_time: 0.1354599297, other_time: 2.7255706787
epoch time: 5.3839817047s, input_fired_time: 0.0968289524, output_fired_time: 0.0000000000, propagate_forward_time: 4.8311510086, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4560017586
validation[          , genome  3701] predictions:    9589/  10000 (95.89%), best:    9632/10000 (96.32%), error:      1334.75867, best error:      1247.65930 on epoch:    12, epoch:   20/100, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 65.6378631592s, input_fired_time: 0.7961548567, output_fired_time: 0.7427637577, propagate_forward_time: 24.4015064240, propagate_backward_time: 37.0126838684, weight_update_time: 0.1324749589, other_time: 2.6847496033
epoch time: 5.4656581879s, input_fired_time: 0.1000617296, output_fired_time: 0.0000000000, propagate_forward_time: 4.9010138512, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4645824432
validation[          , genome  3701] predictions:    9642/  10000 (96.42%), best:    9642/10000 (96.42%), error:      1243.88171, best error:      1243.88171 on epoch:    21, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 64.8549804688s, input_fired_time: 0.7831551433, output_fired_time: 0.7319685221, propagate_forward_time: 24.1398639679, propagate_backward_time: 36.5807037354, weight_update_time: 0.1307203174, other_time: 2.6192855835
epoch time: 5.4062170982s, input_fired_time: 0.1000632867, output_fired_time: 0.0000000000, propagate_forward_time: 4.8431944847, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4629592896
validation[          , genome  3701] predictions:    9605/  10000 (96.05%), best:    9642/10000 (96.42%), error:      1296.46118, best error:      1243.88171 on epoch:    21, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 65.2630004883s, input_fired_time: 0.7837741375, output_fired_time: 0.7393087745, propagate_forward_time: 24.3228645325, propagate_backward_time: 36.8118629456, weight_update_time: 0.1309650838, other_time: 2.6051902771
epoch time: 5.2627177238s, input_fired_time: 0.0951654613, output_fired_time: 0.0000000000, propagate_forward_time: 4.7199921608, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4475603104
validation[          , genome  3701] predictions:    9571/  10000 (95.71%), best:    9642/10000 (96.42%), error:      1358.18372, best error:      1243.88171 on epoch:    21, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 64.8725662231s, input_fired_time: 0.7806062102, output_fired_time: 0.7334600091, propagate_forward_time: 24.0923118591, propagate_backward_time: 36.6576957703, weight_update_time: 0.1310853660, other_time: 2.6084899902
epoch time: 5.3693232536s, input_fired_time: 0.0961356759, output_fired_time: 0.0000000000, propagate_forward_time: 4.8209176064, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4522700310
validation[          , genome  3701] predictions:    9560/  10000 (95.60%), best:    9642/10000 (96.42%), error:      1391.74670, best error:      1243.88171 on epoch:    21, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 65.2769317627s, input_fired_time: 0.7876932025, output_fired_time: 0.7351031303, propagate_forward_time: 24.2905197144, propagate_backward_time: 36.8043975830, weight_update_time: 0.1326075643, other_time: 2.6592140198
epoch time: 5.3733782768s, input_fired_time: 0.0963271856, output_fired_time: 0.0000000000, propagate_forward_time: 4.8188691139, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4581818581
validation[          , genome  3701] predictions:    9515/  10000 (95.15%), best:    9642/10000 (96.42%), error:      1509.38806, best error:      1243.88171 on epoch:    21, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 65.2439041138s, input_fired_time: 0.7900165915, output_fired_time: 0.7371428013, propagate_forward_time: 24.2897205353, propagate_backward_time: 36.7607231140, weight_update_time: 0.1332240552, other_time: 2.6663017273
epoch time: 5.4301667213s, input_fired_time: 0.0976507217, output_fired_time: 0.0000000000, propagate_forward_time: 4.8743000031, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4582161903
validation[          , genome  3701] predictions:    9668/  10000 (96.68%), best:    9668/10000 (96.68%), error:      1167.95618, best error:      1167.95618 on epoch:    26, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 64.9445800781s, input_fired_time: 0.7820068598, output_fired_time: 0.7380905151, propagate_forward_time: 24.1861076355, propagate_backward_time: 36.6270408630, weight_update_time: 0.1310771853, other_time: 2.6113357544
epoch time: 5.4475793839s, input_fired_time: 0.0987484530, output_fired_time: 0.0000000000, propagate_forward_time: 4.8805832863, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4682474136
validation[          , genome  3701] predictions:    9591/  10000 (95.91%), best:    9668/10000 (96.68%), error:      1357.30151, best error:      1167.95618 on epoch:    26, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 64.7511367798s, input_fired_time: 0.7837316990, output_fired_time: 0.7300080061, propagate_forward_time: 24.1301498413, propagate_backward_time: 36.4945755005, weight_update_time: 0.1325834990, other_time: 2.6126708984
epoch time: 5.4752225876s, input_fired_time: 0.0994862244, output_fired_time: 0.0000000000, propagate_forward_time: 4.9040622711, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4716739655
validation[          , genome  3701] predictions:    9643/  10000 (96.43%), best:    9668/10000 (96.68%), error:      1222.62659, best error:      1167.95618 on epoch:    26, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 65.2139434814s, input_fired_time: 0.7885562778, output_fired_time: 0.7386897206, propagate_forward_time: 24.2886905670, propagate_backward_time: 36.7279510498, weight_update_time: 0.1326029897, other_time: 2.6700515747
epoch time: 5.4340143204s, input_fired_time: 0.0963942856, output_fired_time: 0.0000000000, propagate_forward_time: 4.8818464279, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4557738304
validation[          , genome  3701] predictions:    9635/  10000 (96.35%), best:    9668/10000 (96.68%), error:      1218.57300, best error:      1167.95618 on epoch:    26, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 65.2994766235s, input_fired_time: 0.7874389887, output_fired_time: 0.7384839654, propagate_forward_time: 24.2916316986, propagate_backward_time: 36.8428421021, weight_update_time: 0.1326874495, other_time: 2.6390838623
epoch time: 5.3655676842s, input_fired_time: 0.0984781161, output_fired_time: 0.0000000000, propagate_forward_time: 4.8107919693, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4562973976
validation[          , genome  3701] predictions:    9684/  10000 (96.84%), best:    9684/10000 (96.84%), error:      1097.67200, best error:      1097.67200 on epoch:    30, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 64.8330383301s, input_fired_time: 0.7856698036, output_fired_time: 0.7309030294, propagate_forward_time: 24.1390171051, propagate_backward_time: 36.5784606934, weight_update_time: 0.1308319718, other_time: 2.5989913940
epoch time: 5.4549422264s, input_fired_time: 0.0978928879, output_fired_time: 0.0000000000, propagate_forward_time: 4.9028935432, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4541559219
validation[          , genome  3701] predictions:    9633/  10000 (96.33%), best:    9684/10000 (96.84%), error:      1231.66223, best error:      1097.67200 on epoch:    30, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 65.4210510254s, input_fired_time: 0.7895358801, output_fired_time: 0.7396562099, propagate_forward_time: 24.3562755585, propagate_backward_time: 36.9057197571, weight_update_time: 0.1321632266, other_time: 2.6298637390
epoch time: 5.3891639709s, input_fired_time: 0.0960343108, output_fired_time: 0.0000000000, propagate_forward_time: 4.8437113762, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4494180679
validation[          , genome  3701] predictions:    9672/  10000 (96.72%), best:    9684/10000 (96.84%), error:      1139.47400, best error:      1097.67200 on epoch:    30, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 65.3223266602s, input_fired_time: 0.7895098925, output_fired_time: 0.7364102602, propagate_forward_time: 24.3127746582, propagate_backward_time: 36.8345680237, weight_update_time: 0.1325994134, other_time: 2.6490592957
epoch time: 5.3946695328s, input_fired_time: 0.0966727585, output_fired_time: 0.0000000000, propagate_forward_time: 4.8412137032, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4567832947
validation[          , genome  3701] predictions:    9667/  10000 (96.67%), best:    9684/10000 (96.84%), error:      1116.47559, best error:      1097.67200 on epoch:    30, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 65.2214965820s, input_fired_time: 0.7880492210, output_fired_time: 0.7393264771, propagate_forward_time: 24.2791748047, propagate_backward_time: 36.7960243225, weight_update_time: 0.1321298778, other_time: 2.6189231873
epoch time: 5.4052186012s, input_fired_time: 0.0980567336, output_fired_time: 0.0000000000, propagate_forward_time: 4.8447833061, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4623785019
validation[          , genome  3701] predictions:    9644/  10000 (96.44%), best:    9684/10000 (96.84%), error:      1203.38037, best error:      1097.67200 on epoch:    30, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 65.0152206421s, input_fired_time: 0.7856959105, output_fired_time: 0.7347680330, propagate_forward_time: 24.2549171448, propagate_backward_time: 36.6134834290, weight_update_time: 0.1328287870, other_time: 2.6263542175
epoch time: 5.3943672180s, input_fired_time: 0.0976343006, output_fired_time: 0.0000000000, propagate_forward_time: 4.8417382240, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4549946785
validation[          , genome  3701] predictions:    9586/  10000 (95.86%), best:    9684/10000 (96.84%), error:      1347.51379, best error:      1097.67200 on epoch:    30, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 65.3748168945s, input_fired_time: 0.7879074216, output_fired_time: 0.7354775667, propagate_forward_time: 24.3466567993, propagate_backward_time: 36.8647232056, weight_update_time: 0.1324887574, other_time: 2.6400489807
epoch time: 5.4264936447s, input_fired_time: 0.0979476571, output_fired_time: 0.0000000000, propagate_forward_time: 4.8732237816, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4553222656
validation[          , genome  3701] predictions:    9665/  10000 (96.65%), best:    9684/10000 (96.84%), error:      1147.68347, best error:      1097.67200 on epoch:    30, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 65.1359024048s, input_fired_time: 0.7858216166, output_fired_time: 0.7369909286, propagate_forward_time: 24.2605400085, propagate_backward_time: 36.7703285217, weight_update_time: 0.1303316951, other_time: 2.5822219849
epoch time: 5.4015331268s, input_fired_time: 0.0975488201, output_fired_time: 0.0000000000, propagate_forward_time: 4.8487381935, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4552459717
validation[          , genome  3701] predictions:    9670/  10000 (96.70%), best:    9670/10000 (96.70%), error:      1095.12500, best error:      1095.12500 on epoch:    37, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 65.5250015259s, input_fired_time: 0.7906444073, output_fired_time: 0.7401174307, propagate_forward_time: 24.4275550842, propagate_backward_time: 36.9259452820, weight_update_time: 0.1327964813, other_time: 2.6407432556
epoch time: 5.2724785805s, input_fired_time: 0.0944681317, output_fired_time: 0.0000000000, propagate_forward_time: 4.7393527031, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4386577606
validation[          , genome  3701] predictions:    9649/  10000 (96.49%), best:    9670/10000 (96.70%), error:      1153.78491, best error:      1095.12500 on epoch:    37, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 65.0774154663s, input_fired_time: 0.7850050926, output_fired_time: 0.7368258238, propagate_forward_time: 24.2758407593, propagate_backward_time: 36.6721878052, weight_update_time: 0.1309542805, other_time: 2.6075592041
epoch time: 5.3478050232s, input_fired_time: 0.0946601033, output_fired_time: 0.0000000000, propagate_forward_time: 4.7981047630, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4550399780
validation[          , genome  3701] predictions:    9665/  10000 (96.65%), best:    9670/10000 (96.70%), error:      1120.11646, best error:      1095.12500 on epoch:    37, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 65.7320098877s, input_fired_time: 0.7948303223, output_fired_time: 0.7451850176, propagate_forward_time: 24.4662017822, propagate_backward_time: 37.0536231995, weight_update_time: 0.1334467977, other_time: 2.6721687317
epoch time: 5.3911170959s, input_fired_time: 0.0978585929, output_fired_time: 0.0000000000, propagate_forward_time: 4.8369359970, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4563226700
validation[          , genome  3701] predictions:    9616/  10000 (96.16%), best:    9670/10000 (96.70%), error:      1267.42578, best error:      1095.12500 on epoch:    37, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 64.9106521606s, input_fired_time: 0.7832291722, output_fired_time: 0.7335457206, propagate_forward_time: 24.1525058746, propagate_backward_time: 36.6546669006, weight_update_time: 0.1304556280, other_time: 2.5867042542
epoch time: 5.4077687263s, input_fired_time: 0.0989517123, output_fired_time: 0.0000000000, propagate_forward_time: 4.8474617004, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4613552094
validation[          , genome  3701] predictions:    9631/  10000 (96.31%), best:    9670/10000 (96.70%), error:      1219.95532, best error:      1095.12500 on epoch:    37, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 65.0899963379s, input_fired_time: 0.7885967493, output_fired_time: 0.7359998822, propagate_forward_time: 24.2680816650, propagate_backward_time: 36.6599884033, weight_update_time: 0.1318441629, other_time: 2.6373291016
epoch time: 5.3701167107s, input_fired_time: 0.0986921117, output_fired_time: 0.0000000000, propagate_forward_time: 4.8123650551, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4590597153
validation[          , genome  3701] predictions:    9622/  10000 (96.22%), best:    9670/10000 (96.70%), error:      1292.20752, best error:      1095.12500 on epoch:    37, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 65.2148056030s, input_fired_time: 0.7877405286, output_fired_time: 0.7359099388, propagate_forward_time: 24.2546329498, propagate_backward_time: 36.8390884399, weight_update_time: 0.1306819320, other_time: 2.5974349976
epoch time: 5.3361554146s, input_fired_time: 0.0963445976, output_fired_time: 0.0000000000, propagate_forward_time: 4.7931556702, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4466552734
validation[          , genome  3701] predictions:    9567/  10000 (95.67%), best:    9670/10000 (96.70%), error:      1444.97119, best error:      1095.12500 on epoch:    37, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915


</stderr_txt>
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