Nameexact_genome_1542605141_174_6297_0
Workunit4098466
Created19 Nov 2018, 6:40:11 UTC
Sent19 Nov 2018, 7:00:35 UTC
Report deadline29 Dec 2018, 17:49:56 UTC
Received16 Dec 2018, 4:26:40 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID79157
Run time10 hours 21 min 35 sec
CPU time10 hours 18 min 48 sec
Validate stateValid
Credit10,112.74
Device peak FLOPS4.43 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size525.19 MB
Peak swap size545.19 MB
Peak disk usage9.39 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_1542605141_174_6297.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_174_6297_0_r1287433563_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542605141_174_6297.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: 6297
read normal distribution: '1 0 0'
generator_str: '1590583966'
read generator: 1590583966
read generated_by_map:
1 crossover 1
reading 90 nodes.
reading 313 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: 1068278706
post shuffle 1: 1893629305
epoch time: 683.105895996094s, input_fired_time: 6.80004501342773, output_fired_time: 4.60570049285889, propagate_forward_time: 193.143981933594, propagate_backward_time: 471.747161865234, weight_update_time: 0.713237047195435, other_time: 6.80899047851563
epoch time: 40.4214515686035s, input_fired_time: 0.71044909954071, output_fired_time: 0, propagate_forward_time: 38.5307998657227, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.18020248413086
validation[          , genome  6297] predictions:    4698/  10000 (46.98%), best:    4698/10000 (46.98%), error:     19901.66992, best error:     19901.66992 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 683.3728027344s, input_fired_time: 6.7518048286, output_fired_time: 4.5957531929, propagate_forward_time: 193.1875610352, propagate_backward_time: 471.8425903320, weight_update_time: 0.7203181982, other_time: 6.9950561523
epoch time: 40.5091476440s, input_fired_time: 0.6785514951, output_fired_time: 0.0000000000, propagate_forward_time: 38.6491012573, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1814956665
validation[          , genome  6297] predictions:    4898/  10000 (48.98%), best:    4898/10000 (48.98%), error:     17813.00000, best error:     17813.00000 on epoch:     1, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 683.3442993164s, input_fired_time: 6.7015957832, output_fired_time: 4.5990109444, propagate_forward_time: 193.1491851807, propagate_backward_time: 471.8084411621, weight_update_time: 0.7158921957, other_time: 7.0860900879
epoch time: 41.0385856628s, input_fired_time: 0.6987031698, output_fired_time: 0.0000000000, propagate_forward_time: 39.1526031494, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1872787476
validation[          , genome  6297] predictions:    4854/  10000 (48.54%), best:    4854/10000 (48.54%), error:     17152.98828, best error:     17152.98828 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 682.7630004883s, input_fired_time: 6.6893644333, output_fired_time: 4.5945286751, propagate_forward_time: 192.9532318115, propagate_backward_time: 471.5322875977, weight_update_time: 0.7141254544, other_time: 6.9935302734
epoch time: 40.4938163757s, input_fired_time: 0.6891685128, output_fired_time: 0.0000000000, propagate_forward_time: 38.6302680969, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1743812561
validation[          , genome  6297] predictions:    5366/  10000 (53.66%), best:    5366/10000 (53.66%), error:     14570.37695, best error:     14570.37695 on epoch:     3, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 683.5881347656s, input_fired_time: 6.7072029114, output_fired_time: 4.5937213898, propagate_forward_time: 193.2418518066, propagate_backward_time: 472.0692443848, weight_update_time: 0.7149334550, other_time: 6.9760742188
epoch time: 40.4906883240s, input_fired_time: 0.6868812442, output_fired_time: 0.0000000000, propagate_forward_time: 38.6121940613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1916122437
validation[          , genome  6297] predictions:    4874/  10000 (48.74%), best:    5366/10000 (53.66%), error:     16156.31055, best error:     14570.37695 on epoch:     3, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 683.8332519531s, input_fired_time: 6.6882166862, output_fired_time: 4.6076245308, propagate_forward_time: 193.3100128174, propagate_backward_time: 472.1893310547, weight_update_time: 0.7174999118, other_time: 7.0380859375
epoch time: 40.4213027954s, input_fired_time: 0.6832384467, output_fired_time: 0.0000000000, propagate_forward_time: 38.5624237061, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1756401062
validation[          , genome  6297] predictions:    5027/  10000 (50.27%), best:    5366/10000 (53.66%), error:     15754.99023, best error:     14570.37695 on epoch:     3, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 683.7374267578s, input_fired_time: 6.7004895210, output_fired_time: 4.6023101807, propagate_forward_time: 193.2724304199, propagate_backward_time: 472.1555786133, weight_update_time: 0.7155570388, other_time: 7.0066223145
epoch time: 40.4240226746s, input_fired_time: 0.6829015017, output_fired_time: 0.0000000000, propagate_forward_time: 38.5618629456, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1792564392
validation[          , genome  6297] predictions:    5149/  10000 (51.49%), best:    5366/10000 (53.66%), error:     15003.00879, best error:     14570.37695 on epoch:     3, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 683.5799560547s, input_fired_time: 6.6901535988, output_fired_time: 4.6050376892, propagate_forward_time: 193.2840270996, propagate_backward_time: 472.0127258301, weight_update_time: 0.7146778107, other_time: 6.9880371094
epoch time: 40.9829254150s, input_fired_time: 0.6903184652, output_fired_time: 0.0000000000, propagate_forward_time: 39.1087455750, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1838607788
validation[          , genome  6297] predictions:    5277/  10000 (52.77%), best:    5366/10000 (53.66%), error:     14723.65527, best error:     14570.37695 on epoch:     3, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 683.6828002930s, input_fired_time: 6.6940369606, output_fired_time: 4.6126208305, propagate_forward_time: 193.2601013184, propagate_backward_time: 472.1346130371, weight_update_time: 0.7178958058, other_time: 6.9814453125
epoch time: 40.4205093384s, input_fired_time: 0.6890131831, output_fired_time: 0.0000000000, propagate_forward_time: 38.5517959595, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1796989441
validation[          , genome  6297] predictions:    4948/  10000 (49.48%), best:    5366/10000 (53.66%), error:     16630.58789, best error:     14570.37695 on epoch:     3, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 683.1226196289s, input_fired_time: 6.7159814835, output_fired_time: 4.6018157005, propagate_forward_time: 193.2086181641, propagate_backward_time: 471.6093139648, weight_update_time: 0.7145326734, other_time: 6.9868774414
epoch time: 40.4756431580s, input_fired_time: 0.6905899644, output_fired_time: 0.0000000000, propagate_forward_time: 38.6083068848, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1767463684
validation[          , genome  6297] predictions:    5168/  10000 (51.68%), best:    5366/10000 (53.66%), error:     15266.57422, best error:     14570.37695 on epoch:     3, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 683.2410888672s, input_fired_time: 6.7261996269, output_fired_time: 4.5992407799, propagate_forward_time: 193.1595611572, propagate_backward_time: 471.7220458984, weight_update_time: 0.7223208547, other_time: 7.0340576172
epoch time: 40.4864578247s, input_fired_time: 0.6900670528, output_fired_time: 0.0000000000, propagate_forward_time: 38.6257247925, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1706657410
validation[          , genome  6297] predictions:    5257/  10000 (52.57%), best:    5366/10000 (53.66%), error:     15533.14160, best error:     14570.37695 on epoch:     3, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 683.5948486328s, input_fired_time: 6.7256464958, output_fired_time: 4.6096086502, propagate_forward_time: 193.3853759766, propagate_backward_time: 471.9157714844, weight_update_time: 0.7161234617, other_time: 6.9584350586
epoch time: 40.5610809326s, input_fired_time: 0.6998932362, output_fired_time: 0.0000000000, propagate_forward_time: 38.6889953613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1721916199
validation[          , genome  6297] predictions:    5457/  10000 (54.57%), best:    5457/10000 (54.57%), error:     14003.61328, best error:     14003.61328 on epoch:    11, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 684.5973510742s, input_fired_time: 6.7452883720, output_fired_time: 4.6092491150, propagate_forward_time: 193.5390472412, propagate_backward_time: 472.6616516113, weight_update_time: 0.7166145444, other_time: 7.0420837402
epoch time: 40.5682067871s, input_fired_time: 0.6915197372, output_fired_time: 0.0000000000, propagate_forward_time: 38.6948966980, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1817893982
validation[          , genome  6297] predictions:    5437/  10000 (54.37%), best:    5457/10000 (54.57%), error:     14269.73047, best error:     14003.61328 on epoch:    11, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 684.5599365234s, input_fired_time: 6.7412996292, output_fired_time: 4.6063308716, propagate_forward_time: 193.5800933838, propagate_backward_time: 472.6681518555, weight_update_time: 0.7168108225, other_time: 6.9641113281
epoch time: 40.7033843994s, input_fired_time: 0.6910002232, output_fired_time: 0.0000000000, propagate_forward_time: 38.8447380066, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1676445007
validation[          , genome  6297] predictions:    5397/  10000 (53.97%), best:    5397/10000 (53.97%), error:     13930.87207, best error:     13930.87207 on epoch:    13, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 683.8073120117s, input_fired_time: 6.7461762428, output_fired_time: 4.6036534309, propagate_forward_time: 193.5341491699, propagate_backward_time: 471.9382629395, weight_update_time: 0.7144315243, other_time: 6.9851074219
epoch time: 40.5212059021s, input_fired_time: 0.6944125295, output_fired_time: 0.0000000000, propagate_forward_time: 38.6471099854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1796836853
validation[          , genome  6297] predictions:    5527/  10000 (55.27%), best:    5527/10000 (55.27%), error:     13588.80566, best error:     13588.80566 on epoch:    14, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 683.0845947266s, input_fired_time: 6.7502365112, output_fired_time: 4.6022367477, propagate_forward_time: 193.1063232422, propagate_backward_time: 471.7008666992, weight_update_time: 0.7154170871, other_time: 6.9249267578
epoch time: 40.4426765442s, input_fired_time: 0.6995072961, output_fired_time: 0.0000000000, propagate_forward_time: 38.5647430420, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1784248352
validation[          , genome  6297] predictions:    5602/  10000 (56.02%), best:    5602/10000 (56.02%), error:     13202.31250, best error:     13202.31250 on epoch:    15, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 683.0662841797s, input_fired_time: 6.7584009171, output_fired_time: 4.6045408249, propagate_forward_time: 193.2847900391, propagate_backward_time: 471.3747253418, weight_update_time: 0.7175235748, other_time: 7.0437927246
epoch time: 40.4679069519s, input_fired_time: 0.7017980814, output_fired_time: 0.0000000000, propagate_forward_time: 38.5930366516, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1730728149
validation[          , genome  6297] predictions:    5410/  10000 (54.10%), best:    5602/10000 (56.02%), error:     13987.82031, best error:     13202.31250 on epoch:    15, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 683.7934570313s, input_fired_time: 6.7595767975, output_fired_time: 4.6036243439, propagate_forward_time: 193.5345458984, propagate_backward_time: 471.9128112793, weight_update_time: 0.7162824869, other_time: 6.9828796387
epoch time: 40.4809074402s, input_fired_time: 0.7118739486, output_fired_time: 0.0000000000, propagate_forward_time: 38.5952377319, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1737976074
validation[          , genome  6297] predictions:    5432/  10000 (54.32%), best:    5602/10000 (56.02%), error:     14385.16211, best error:     13202.31250 on epoch:    15, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 683.7791137695s, input_fired_time: 6.7728366852, output_fired_time: 4.6011896133, propagate_forward_time: 193.4784393311, propagate_backward_time: 471.9240417480, weight_update_time: 0.7191291451, other_time: 7.0025939941
epoch time: 40.5913276672s, input_fired_time: 0.7087340355, output_fired_time: 0.0000000000, propagate_forward_time: 38.7020339966, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1805610657
validation[          , genome  6297] predictions:    5464/  10000 (54.64%), best:    5602/10000 (56.02%), error:     14130.27051, best error:     13202.31250 on epoch:    15, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 683.5398559570s, input_fired_time: 6.7788877487, output_fired_time: 4.6021785736, propagate_forward_time: 193.3870544434, propagate_backward_time: 471.7736816406, weight_update_time: 0.7146782875, other_time: 6.9980773926
epoch time: 40.4841537476s, input_fired_time: 0.7064794898, output_fired_time: 0.0000000000, propagate_forward_time: 38.5910415649, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1866340637
validation[          , genome  6297] predictions:    5507/  10000 (55.07%), best:    5602/10000 (56.02%), error:     13743.34082, best error:     13202.31250 on epoch:    15, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 684.2084350586s, input_fired_time: 6.7824397087, output_fired_time: 4.6032438278, propagate_forward_time: 193.4327087402, propagate_backward_time: 472.3876037598, weight_update_time: 0.7179816961, other_time: 7.0024414063
epoch time: 40.4787483215s, input_fired_time: 0.7028302550, output_fired_time: 0.0000000000, propagate_forward_time: 38.5925903320, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1833267212
validation[          , genome  6297] predictions:    5533/  10000 (55.33%), best:    5602/10000 (56.02%), error:     13427.10938, best error:     13202.31250 on epoch:    15, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 683.9977416992s, input_fired_time: 6.7843675613, output_fired_time: 4.6048626900, propagate_forward_time: 193.2999420166, propagate_backward_time: 472.3164978027, weight_update_time: 0.7188851833, other_time: 6.9920959473
epoch time: 40.5251388550s, input_fired_time: 0.7085402012, output_fired_time: 0.0000000000, propagate_forward_time: 38.6397895813, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1768074036
validation[          , genome  6297] predictions:    5633/  10000 (56.33%), best:    5633/10000 (56.33%), error:     12964.23535, best error:     12964.23535 on epoch:    21, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 683.9528808594s, input_fired_time: 6.7861208916, output_fired_time: 4.5998516083, propagate_forward_time: 193.3728027344, propagate_backward_time: 472.2278137207, weight_update_time: 0.7153240442, other_time: 6.9662780762
epoch time: 40.5488662720s, input_fired_time: 0.6948050857, output_fired_time: 0.0000000000, propagate_forward_time: 38.6741294861, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1799316406
validation[          , genome  6297] predictions:    5421/  10000 (54.21%), best:    5633/10000 (56.33%), error:     14232.48145, best error:     12964.23535 on epoch:    21, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 683.6794433594s, input_fired_time: 6.7907986641, output_fired_time: 4.6035342216, propagate_forward_time: 193.3247833252, propagate_backward_time: 471.9177551270, weight_update_time: 0.7180504203, other_time: 7.0426330566
epoch time: 40.5223236084s, input_fired_time: 0.7174166441, output_fired_time: 0.0000000000, propagate_forward_time: 38.6286964417, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1762123108
validation[          , genome  6297] predictions:    5542/  10000 (55.42%), best:    5633/10000 (56.33%), error:     13898.09180, best error:     12964.23535 on epoch:    21, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 683.7349243164s, input_fired_time: 6.8157014847, output_fired_time: 4.6055140495, propagate_forward_time: 193.4104003906, propagate_backward_time: 471.8628540039, weight_update_time: 0.7164290547, other_time: 7.0404663086
epoch time: 40.5321388245s, input_fired_time: 0.7052965164, output_fired_time: 0.0000000000, propagate_forward_time: 38.6501960754, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1766471863
validation[          , genome  6297] predictions:    5605/  10000 (56.05%), best:    5633/10000 (56.33%), error:     13469.57422, best error:     12964.23535 on epoch:    21, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 684.1821899414s, input_fired_time: 6.8264694214, output_fired_time: 4.6114487648, propagate_forward_time: 193.3892211914, propagate_backward_time: 472.3664245605, weight_update_time: 0.7167536020, other_time: 6.9886169434
epoch time: 40.5610389709s, input_fired_time: 0.7076705098, output_fired_time: 0.0000000000, propagate_forward_time: 38.6778106689, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1755561829
validation[          , genome  6297] predictions:    5507/  10000 (55.07%), best:    5633/10000 (56.33%), error:     13701.91504, best error:     12964.23535 on epoch:    21, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 683.9511108398s, input_fired_time: 6.8243789673, output_fired_time: 4.6038722992, propagate_forward_time: 193.3714141846, propagate_backward_time: 472.1347045898, weight_update_time: 0.7157253623, other_time: 7.0167236328
epoch time: 40.4150886536s, input_fired_time: 0.7059244514, output_fired_time: 0.0000000000, propagate_forward_time: 38.5371742249, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1719894409
validation[          , genome  6297] predictions:    5663/  10000 (56.63%), best:    5633/10000 (56.33%), error:     13239.28125, best error:     12964.23535 on epoch:    21, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 687.2138671875s, input_fired_time: 6.8696508408, output_fired_time: 4.6323103905, propagate_forward_time: 194.3042755127, propagate_backward_time: 474.3289794922, weight_update_time: 0.7150587440, other_time: 7.0786743164
epoch time: 40.5111694336s, input_fired_time: 0.7221691608, output_fired_time: 0.0000000000, propagate_forward_time: 38.6123504639, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1766510010
validation[          , genome  6297] predictions:    5610/  10000 (56.10%), best:    5633/10000 (56.33%), error:     13473.08691, best error:     12964.23535 on epoch:    21, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 683.3570556641s, input_fired_time: 6.8364048004, output_fired_time: 4.5977840424, propagate_forward_time: 193.1021270752, propagate_backward_time: 471.8347778320, weight_update_time: 0.7143003345, other_time: 6.9859619141
epoch time: 40.5152778625s, input_fired_time: 0.7175803185, output_fired_time: 0.0000000000, propagate_forward_time: 38.6222801208, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1754188538
validation[          , genome  6297] predictions:    5511/  10000 (55.11%), best:    5633/10000 (56.33%), error:     13742.63770, best error:     12964.23535 on epoch:    21, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 684.0684814453s, input_fired_time: 6.8674697876, output_fired_time: 4.5995006561, propagate_forward_time: 193.3654632568, propagate_backward_time: 472.2626342773, weight_update_time: 0.7165972590, other_time: 6.9733886719
epoch time: 40.4736633301s, input_fired_time: 0.7130916715, output_fired_time: 0.0000000000, propagate_forward_time: 38.5801467896, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1804237366
validation[          , genome  6297] predictions:    5712/  10000 (57.12%), best:    5633/10000 (56.33%), error:     13148.95801, best error:     12964.23535 on epoch:    21, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 684.1692504883s, input_fired_time: 6.8634586334, output_fired_time: 4.5983490944, propagate_forward_time: 193.4747924805, propagate_backward_time: 472.1261901855, weight_update_time: 0.7172118425, other_time: 7.1064758301
epoch time: 40.5031585693s, input_fired_time: 0.7102823257, output_fired_time: 0.0000000000, propagate_forward_time: 38.6172637939, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1756134033
validation[          , genome  6297] predictions:    5556/  10000 (55.56%), best:    5633/10000 (56.33%), error:     13735.19727, best error:     12964.23535 on epoch:    21, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 683.7606201172s, input_fired_time: 6.8730301857, output_fired_time: 4.6016445160, propagate_forward_time: 193.2646179199, propagate_backward_time: 472.0011291504, weight_update_time: 0.7165620923, other_time: 7.0202026367
epoch time: 40.4784088135s, input_fired_time: 0.7336281538, output_fired_time: 0.0000000000, propagate_forward_time: 38.5724411011, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1723403931
validation[          , genome  6297] predictions:    5640/  10000 (56.40%), best:    5633/10000 (56.33%), error:     13307.56348, best error:     12964.23535 on epoch:    21, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 684.2719116211s, input_fired_time: 6.8651461601, output_fired_time: 4.6072206497, propagate_forward_time: 193.5152893066, propagate_backward_time: 472.2852172852, weight_update_time: 0.7169637680, other_time: 6.9989929199
epoch time: 40.6895675659s, input_fired_time: 0.7276626229, output_fired_time: 0.0000000000, propagate_forward_time: 38.7817649841, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1801414490
validation[          , genome  6297] predictions:    5552/  10000 (55.52%), best:    5633/10000 (56.33%), error:     13650.85449, best error:     12964.23535 on epoch:    21, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 683.7673950195s, input_fired_time: 6.8725910187, output_fired_time: 4.6049532890, propagate_forward_time: 193.2601318359, propagate_backward_time: 471.9615173340, weight_update_time: 0.7169284225, other_time: 7.0681457520
epoch time: 40.5050086975s, input_fired_time: 0.7260998487, output_fired_time: 0.0000000000, propagate_forward_time: 38.6074409485, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1714668274
validation[          , genome  6297] predictions:    5577/  10000 (55.77%), best:    5633/10000 (56.33%), error:     13801.93457, best error:     12964.23535 on epoch:    21, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 683.4572753906s, input_fired_time: 6.8838982582, output_fired_time: 4.6073789597, propagate_forward_time: 193.0923767090, propagate_backward_time: 471.8232116699, weight_update_time: 0.7170929909, other_time: 7.0504150391
epoch time: 40.4955024719s, input_fired_time: 0.7203441262, output_fired_time: 0.0000000000, propagate_forward_time: 38.5913696289, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1837882996
validation[          , genome  6297] predictions:    5791/  10000 (57.91%), best:    5633/10000 (56.33%), error:     12994.74805, best error:     12964.23535 on epoch:    21, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 685.2819213867s, input_fired_time: 6.9020876884, output_fired_time: 4.6111197472, propagate_forward_time: 193.6528930664, propagate_backward_time: 473.0305786133, weight_update_time: 0.7178862691, other_time: 7.0852050781
epoch time: 40.5656051636s, input_fired_time: 0.7301846147, output_fired_time: 0.0000000000, propagate_forward_time: 38.6593627930, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1760559082
validation[          , genome  6297] predictions:    5848/  10000 (58.48%), best:    5848/10000 (58.48%), error:     12603.59570, best error:     12603.59570 on epoch:    35, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 684.1529541016s, input_fired_time: 6.9034285545, output_fired_time: 4.6082758904, propagate_forward_time: 193.4165649414, propagate_backward_time: 472.1937866211, weight_update_time: 0.7155626416, other_time: 7.0308837891
epoch time: 40.6050529480s, input_fired_time: 0.7331953049, output_fired_time: 0.0000000000, propagate_forward_time: 38.6921119690, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1797447205
validation[          , genome  6297] predictions:    5694/  10000 (56.94%), best:    5848/10000 (58.48%), error:     12942.33594, best error:     12603.59570 on epoch:    35, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 685.7024536133s, input_fired_time: 6.9453711510, output_fired_time: 4.6160774231, propagate_forward_time: 193.7761688232, propagate_backward_time: 473.3299560547, weight_update_time: 0.7158152461, other_time: 7.0348510742
epoch time: 40.7022361755s, input_fired_time: 0.7290905714, output_fired_time: 0.0000000000, propagate_forward_time: 38.8022460938, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1708984375
validation[          , genome  6297] predictions:    5854/  10000 (58.54%), best:    5848/10000 (58.48%), error:     12721.16211, best error:     12603.59570 on epoch:    35, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 685.6834106445s, input_fired_time: 6.9312496185, output_fired_time: 4.6217212677, propagate_forward_time: 193.7335510254, propagate_backward_time: 473.4500732422, weight_update_time: 0.7164292336, other_time: 6.9468078613
epoch time: 40.5689506531s, input_fired_time: 0.7301621437, output_fired_time: 0.0000000000, propagate_forward_time: 38.6549682617, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1838188171
validation[          , genome  6297] predictions:    5817/  10000 (58.17%), best:    5848/10000 (58.48%), error:     12741.99609, best error:     12603.59570 on epoch:    35, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 684.3029785156s, input_fired_time: 6.9270215034, output_fired_time: 4.6071248055, propagate_forward_time: 193.3758392334, propagate_backward_time: 472.4018554688, weight_update_time: 0.7204832435, other_time: 6.9911499023
epoch time: 40.5841331482s, input_fired_time: 0.7366591692, output_fired_time: 0.0000000000, propagate_forward_time: 38.6710624695, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1764106750
validation[          , genome  6297] predictions:    5816/  10000 (58.16%), best:    5848/10000 (58.48%), error:     12824.42480, best error:     12603.59570 on epoch:    35, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 684.2847900391s, input_fired_time: 6.9305114746, output_fired_time: 4.6031012535, propagate_forward_time: 193.4537811279, propagate_backward_time: 472.0467529297, weight_update_time: 0.7156853080, other_time: 7.2506103516
epoch time: 40.5102272034s, input_fired_time: 0.7162319422, output_fired_time: 0.0000000000, propagate_forward_time: 38.6102523804, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1837425232
validation[          , genome  6297] predictions:    5850/  10000 (58.50%), best:    5848/10000 (58.48%), error:     12736.32227, best error:     12603.59570 on epoch:    35, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 684.7493286133s, input_fired_time: 6.9517459869, output_fired_time: 4.6142821312, propagate_forward_time: 193.6835327148, propagate_backward_time: 472.4835205078, weight_update_time: 0.7159588337, other_time: 7.0162963867
epoch time: 40.5896224976s, input_fired_time: 0.7356841564, output_fired_time: 0.0000000000, propagate_forward_time: 38.6690559387, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1848831177
validation[          , genome  6297] predictions:    5818/  10000 (58.18%), best:    5848/10000 (58.48%), error:     12823.68652, best error:     12603.59570 on epoch:    35, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 684.3778686523s, input_fired_time: 6.9558553696, output_fired_time: 4.6066408157, propagate_forward_time: 193.4597778320, propagate_backward_time: 472.3192443848, weight_update_time: 0.7151843309, other_time: 7.0363464355
epoch time: 40.4894561768s, input_fired_time: 0.7443922162, output_fired_time: 0.0000000000, propagate_forward_time: 38.5630798340, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1819839478
validation[          , genome  6297] predictions:    5872/  10000 (58.72%), best:    5872/10000 (58.72%), error:     12591.46875, best error:     12591.46875 on epoch:    42, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 683.8822631836s, input_fired_time: 6.9410958290, output_fired_time: 4.6028790474, propagate_forward_time: 193.1752166748, propagate_backward_time: 472.0837402344, weight_update_time: 0.7142699957, other_time: 7.0792846680
epoch time: 40.5592002869s, input_fired_time: 0.7426518202, output_fired_time: 0.0000000000, propagate_forward_time: 38.6391448975, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1774024963
validation[          , genome  6297] predictions:    5774/  10000 (57.74%), best:    5872/10000 (58.72%), error:     12662.94434, best error:     12591.46875 on epoch:    42, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 684.5128173828s, input_fired_time: 6.9600052834, output_fired_time: 4.6068606377, propagate_forward_time: 193.5041503906, propagate_backward_time: 472.2851867676, weight_update_time: 0.7170866132, other_time: 7.1565856934
epoch time: 40.6141853333s, input_fired_time: 0.7300195098, output_fired_time: 0.0000000000, propagate_forward_time: 38.6118278503, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2723388672
validation[          , genome  6297] predictions:    5870/  10000 (58.70%), best:    5870/10000 (58.70%), error:     12576.14160, best error:     12576.14160 on epoch:    44, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 684.5045776367s, input_fired_time: 6.9631996155, output_fired_time: 4.6043462753, propagate_forward_time: 193.2772369385, propagate_backward_time: 472.2334289551, weight_update_time: 0.7169224620, other_time: 7.4263610840
epoch time: 40.5697326660s, input_fired_time: 0.7358323336, output_fired_time: 0.0000000000, propagate_forward_time: 38.5728645325, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2610359192
validation[          , genome  6297] predictions:    5879/  10000 (58.79%), best:    5870/10000 (58.70%), error:     12620.20508, best error:     12576.14160 on epoch:    44, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 684.3173217773s, input_fired_time: 6.9704566002, output_fired_time: 4.6058645248, propagate_forward_time: 193.3926239014, propagate_backward_time: 472.3360595703, weight_update_time: 0.7140032649, other_time: 7.0123291016
epoch time: 40.6266174316s, input_fired_time: 0.7393288016, output_fired_time: 0.0000000000, propagate_forward_time: 38.7127380371, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1745491028
validation[          , genome  6297] predictions:    5923/  10000 (59.23%), best:    5923/10000 (59.23%), error:     12516.34766, best error:     12516.34766 on epoch:    46, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 686.1694335938s, input_fired_time: 7.0064110756, output_fired_time: 4.6165270805, propagate_forward_time: 193.8688201904, propagate_backward_time: 473.4316101074, weight_update_time: 0.7186538577, other_time: 7.2460632324
epoch time: 40.6055221558s, input_fired_time: 0.7526130080, output_fired_time: 0.0000000000, propagate_forward_time: 38.6870841980, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1658248901
validation[          , genome  6297] predictions:    5943/  10000 (59.43%), best:    5943/10000 (59.43%), error:     12233.62695, best error:     12233.62695 on epoch:    47, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 684.6540527344s, input_fired_time: 6.9946131706, output_fired_time: 4.6054754257, propagate_forward_time: 193.5349731445, propagate_backward_time: 472.3333435059, weight_update_time: 0.7191966176, other_time: 7.1856384277
epoch time: 40.5230560303s, input_fired_time: 0.7414715290, output_fired_time: 0.0000000000, propagate_forward_time: 38.5984611511, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1831245422
validation[          , genome  6297] predictions:    6000/  10000 (60.00%), best:    6000/10000 (60.00%), error:     11978.50098, best error:     11978.50098 on epoch:    48, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 683.9772949219s, input_fired_time: 6.9971780777, output_fired_time: 4.6046352386, propagate_forward_time: 193.4284515381, propagate_backward_time: 471.7719116211, weight_update_time: 0.7175130844, other_time: 7.1751098633
epoch time: 40.6105346680s, input_fired_time: 0.7468744516, output_fired_time: 0.0000000000, propagate_forward_time: 38.6878738403, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1757850647
validation[          , genome  6297] predictions:    5949/  10000 (59.49%), best:    6000/10000 (60.00%), error:     12383.12988, best error:     11978.50098 on epoch:    48, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 684.6599121094s, input_fired_time: 6.9909601212, output_fired_time: 4.6123647690, propagate_forward_time: 193.5644989014, propagate_backward_time: 472.3476867676, weight_update_time: 0.7157733440, other_time: 7.1443786621
epoch time: 40.5580139160s, input_fired_time: 0.7480236888, output_fired_time: 0.0000000000, propagate_forward_time: 38.6320571899, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1779327393
validation[          , genome  6297] predictions:    5872/  10000 (58.72%), best:    6000/10000 (60.00%), error:     12464.48340, best error:     11978.50098 on epoch:    48, 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: 202.8151550293s, input_fired_time: 3.7242856026, output_fired_time: 0.0000000000, propagate_forward_time: 193.4142608643, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.6766052246
best training[          , genome  6297] predictions:   35937/  50000 (71.87%), best:    6000/10000 (60.00%), error:     40697.02344, best error:     11978.50098 on epoch:    48, 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: 42.0900115967s, input_fired_time: 0.7474826574, output_fired_time: 0.0000000000, propagate_forward_time: 38.7504615784, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5920677185
   testing[          , genome  6297] predictions:    6000/  10000 (60.00%), best:    6000/10000 (60.00%), error:     11978.50098, best error:     11978.50098 on epoch:    48, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
22:26:08 (8488): called boinc_finish(0)

</stderr_txt>
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