Nameexact_genome_1542605141_167_6293_1
Workunit4098454
Created19 Nov 2018, 6:38:58 UTC
Sent19 Nov 2018, 6:57:24 UTC
Report deadline16 Dec 2018, 14:43:19 UTC
Received21 Nov 2018, 5:31:23 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID80138
Run time7 hours 7 min 1 sec
CPU time7 hours 5 min 23 sec
Validate stateValid
Credit6,830.89
Device peak FLOPS4.49 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size524.84 MB
Peak swap size544.83 MB
Peak disk usage11.32 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_167_6293.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_167_6293_1_r1585112862_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542605141_167_6293.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: 6293
read normal distribution: '0 -0.249552369117737 0.48124161362648'
generator_str: '700374480'
read generator: 700374480
read generated_by_map:
1 add_edge 1
reading 91 nodes.
reading 371 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: 836016153
post shuffle 1: 2055913215
epoch time: 916.107482910156s, input_fired_time: 6.66150569915771, output_fired_time: 4.71804904937744, propagate_forward_time: 261.094055175781, propagate_backward_time: 636.533508300781, weight_update_time: 0.797171771526337, other_time: 7.100341796875
epoch time: 54.0196647644043s, input_fired_time: 0.66488242149353, output_fired_time: 0, propagate_forward_time: 52.1733818054199, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.18140029907227
validation[          , genome  6293] predictions:    4741/  10000 (47.41%), best:    4741/10000 (47.41%), error:     17920.60156, best error:     17920.60156 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 916.4706420898s, input_fired_time: 6.6208443642, output_fired_time: 4.7014856339, propagate_forward_time: 261.1732482910, propagate_backward_time: 636.6234130859, weight_update_time: 0.7976046205, other_time: 7.3516845703
epoch time: 53.9682998657s, input_fired_time: 0.6540482044, output_fired_time: 0.0000000000, propagate_forward_time: 52.1265258789, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1877250671
validation[          , genome  6293] predictions:    5085/  10000 (50.85%), best:    5085/10000 (50.85%), error:     16399.57227, best error:     16399.57227 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 915.6996459961s, input_fired_time: 6.5776185989, output_fired_time: 4.7055435181, propagate_forward_time: 260.7694091797, propagate_backward_time: 636.2973632813, weight_update_time: 0.7975975275, other_time: 7.3496704102
epoch time: 53.9287528992s, input_fired_time: 0.6551735997, output_fired_time: 0.0000000000, propagate_forward_time: 52.0979499817, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1756286621
validation[          , genome  6293] predictions:    4963/  10000 (49.63%), best:    5085/10000 (50.85%), error:     16873.78906, best error:     16399.57227 on epoch:     1, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 916.7545166016s, input_fired_time: 6.5631985664, output_fired_time: 4.7051625252, propagate_forward_time: 261.2052917480, propagate_backward_time: 636.9855346680, weight_update_time: 0.7963626385, other_time: 7.2953491211
epoch time: 53.9978141785s, input_fired_time: 0.6467403173, output_fired_time: 0.0000000000, propagate_forward_time: 52.1673736572, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1837005615
validation[          , genome  6293] predictions:    5011/  10000 (50.11%), best:    5085/10000 (50.85%), error:     16663.85352, best error:     16399.57227 on epoch:     1, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 916.5580444336s, input_fired_time: 6.5564475060, output_fired_time: 4.7054629326, propagate_forward_time: 261.0494689941, propagate_backward_time: 636.9443359375, weight_update_time: 0.7973929048, other_time: 7.3023681641
epoch time: 54.0027618408s, input_fired_time: 0.6517524719, output_fired_time: 0.0000000000, propagate_forward_time: 52.1652030945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1858062744
validation[          , genome  6293] predictions:    5108/  10000 (51.08%), best:    5108/10000 (51.08%), error:     15619.82520, best error:     15619.82520 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 916.3629760742s, input_fired_time: 6.5672392845, output_fired_time: 4.7120618820, propagate_forward_time: 261.0368041992, propagate_backward_time: 636.7617797852, weight_update_time: 0.8003630042, other_time: 7.2850952148
epoch time: 54.0014152527s, input_fired_time: 0.6514080167, output_fired_time: 0.0000000000, propagate_forward_time: 52.1610794067, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1889266968
validation[          , genome  6293] predictions:    4950/  10000 (49.50%), best:    5108/10000 (51.08%), error:     16237.06836, best error:     15619.82520 on epoch:     4, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 916.4107055664s, input_fired_time: 6.5711388588, output_fired_time: 4.6992006302, propagate_forward_time: 261.0098266602, propagate_backward_time: 636.8236694336, weight_update_time: 0.7997444272, other_time: 7.3068237305
epoch time: 53.9295043945s, input_fired_time: 0.6461026073, output_fired_time: 0.0000000000, propagate_forward_time: 52.0970802307, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1863212585
validation[          , genome  6293] predictions:    5288/  10000 (52.88%), best:    5288/10000 (52.88%), error:     14604.81543, best error:     14604.81543 on epoch:     6, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 916.6581420898s, input_fired_time: 6.5623917580, output_fired_time: 4.7163019180, propagate_forward_time: 261.0227966309, propagate_backward_time: 637.0391235352, weight_update_time: 0.7986842990, other_time: 7.3175659180
epoch time: 54.1058921814s, input_fired_time: 0.6480994821, output_fired_time: 0.0000000000, propagate_forward_time: 52.2719192505, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1858749390
validation[          , genome  6293] predictions:    5325/  10000 (53.25%), best:    5325/10000 (53.25%), error:     14345.29785, best error:     14345.29785 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 916.7929077148s, input_fired_time: 6.5767712593, output_fired_time: 4.7154579163, propagate_forward_time: 261.1907043457, propagate_backward_time: 636.9427490234, weight_update_time: 0.8025645614, other_time: 7.3671875000
epoch time: 53.9537582397s, input_fired_time: 0.6522842050, output_fired_time: 0.0000000000, propagate_forward_time: 52.1158599854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1856155396
validation[          , genome  6293] predictions:    5186/  10000 (51.86%), best:    5325/10000 (53.25%), error:     15125.23047, best error:     14345.29785 on epoch:     7, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 917.6224975586s, input_fired_time: 6.5869159698, output_fired_time: 4.7097520828, propagate_forward_time: 261.3712768555, propagate_backward_time: 637.6233520508, weight_update_time: 0.7980134487, other_time: 7.3311767578
epoch time: 53.9977722168s, input_fired_time: 0.6516863108, output_fired_time: 0.0000000000, propagate_forward_time: 52.1593933105, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1866912842
validation[          , genome  6293] predictions:    5020/  10000 (50.20%), best:    5325/10000 (53.25%), error:     15985.55762, best error:     14345.29785 on epoch:     7, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 916.5145263672s, input_fired_time: 6.5953764915, output_fired_time: 4.7069873810, propagate_forward_time: 261.0706176758, propagate_backward_time: 636.8161010742, weight_update_time: 0.7981212735, other_time: 7.3254394531
epoch time: 54.0771141052s, input_fired_time: 0.6531125307, output_fired_time: 0.0000000000, propagate_forward_time: 52.2375907898, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1864089966
validation[          , genome  6293] predictions:    5001/  10000 (50.01%), best:    5325/10000 (53.25%), error:     15617.59766, best error:     14345.29785 on epoch:     7, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 916.9840698242s, input_fired_time: 6.5917658806, output_fired_time: 4.7087321281, propagate_forward_time: 261.1742553711, propagate_backward_time: 637.1558227539, weight_update_time: 0.8001070023, other_time: 7.3535156250
epoch time: 54.0395278931s, input_fired_time: 0.6649371386, output_fired_time: 0.0000000000, propagate_forward_time: 52.1947402954, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1798515320
validation[          , genome  6293] predictions:    5332/  10000 (53.32%), best:    5332/10000 (53.32%), error:     14118.63867, best error:     14118.63867 on epoch:    11, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 918.6224975586s, input_fired_time: 6.5944423676, output_fired_time: 4.7163147926, propagate_forward_time: 261.7014770508, propagate_backward_time: 638.2311401367, weight_update_time: 0.8035678864, other_time: 7.3791503906
epoch time: 53.9878501892s, input_fired_time: 0.6524001360, output_fired_time: 0.0000000000, propagate_forward_time: 52.1436347961, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1918144226
validation[          , genome  6293] predictions:    5388/  10000 (53.88%), best:    5332/10000 (53.32%), error:     14430.29297, best error:     14118.63867 on epoch:    11, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 917.1513061523s, input_fired_time: 6.6093082428, output_fired_time: 4.7186727524, propagate_forward_time: 261.1894836426, propagate_backward_time: 637.2252807617, weight_update_time: 0.7994411588, other_time: 7.4085083008
epoch time: 54.0029373169s, input_fired_time: 0.6490457058, output_fired_time: 0.0000000000, propagate_forward_time: 52.1657295227, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1881637573
validation[          , genome  6293] predictions:    5311/  10000 (53.11%), best:    5332/10000 (53.32%), error:     14473.16406, best error:     14118.63867 on epoch:    11, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 917.3723754883s, input_fired_time: 6.6173076630, output_fired_time: 4.7171792984, propagate_forward_time: 261.4436645508, propagate_backward_time: 637.2110595703, weight_update_time: 0.7987812757, other_time: 7.3831787109
epoch time: 54.0825538635s, input_fired_time: 0.6580644250, output_fired_time: 0.0000000000, propagate_forward_time: 52.2474746704, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1770133972
validation[          , genome  6293] predictions:    5187/  10000 (51.87%), best:    5332/10000 (53.32%), error:     15474.81445, best error:     14118.63867 on epoch:    11, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 917.3822021484s, input_fired_time: 6.6223726273, output_fired_time: 4.7170944214, propagate_forward_time: 261.2980041504, propagate_backward_time: 637.4423828125, weight_update_time: 0.7997204661, other_time: 7.3023681641
epoch time: 53.9786109924s, input_fired_time: 0.6550671458, output_fired_time: 0.0000000000, propagate_forward_time: 52.1370849609, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1864585876
validation[          , genome  6293] predictions:    5375/  10000 (53.75%), best:    5375/10000 (53.75%), error:     14046.85352, best error:     14046.85352 on epoch:    15, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 916.9899902344s, input_fired_time: 6.6260881424, output_fired_time: 4.7086415291, propagate_forward_time: 261.1799621582, propagate_backward_time: 637.1123657227, weight_update_time: 0.8057705760, other_time: 7.3629760742
epoch time: 54.0112380981s, input_fired_time: 0.6665830016, output_fired_time: 0.0000000000, propagate_forward_time: 52.1548767090, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1897773743
validation[          , genome  6293] predictions:    5600/  10000 (56.00%), best:    5600/10000 (56.00%), error:     13335.41602, best error:     13335.41602 on epoch:    16, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 917.2847900391s, input_fired_time: 6.6391854286, output_fired_time: 4.7143416405, propagate_forward_time: 261.3299255371, propagate_backward_time: 637.1947631836, weight_update_time: 0.7979018092, other_time: 7.4065551758
epoch time: 54.0914230347s, input_fired_time: 0.6589149833, output_fired_time: 0.0000000000, propagate_forward_time: 52.2378540039, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1946525574
validation[          , genome  6293] predictions:    5563/  10000 (55.63%), best:    5600/10000 (56.00%), error:     13877.82813, best error:     13335.41602 on epoch:    16, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 918.0091552734s, input_fired_time: 6.6443519592, output_fired_time: 4.7126274109, propagate_forward_time: 261.6051330566, propagate_backward_time: 637.7016601563, weight_update_time: 0.8007726073, other_time: 7.3453369141
epoch time: 54.5393676758s, input_fired_time: 0.6656860709, output_fired_time: 0.0000000000, propagate_forward_time: 52.6880455017, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1856346130
validation[          , genome  6293] predictions:    5271/  10000 (52.71%), best:    5600/10000 (56.00%), error:     14774.03320, best error:     13335.41602 on epoch:    16, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 917.2451171875s, input_fired_time: 6.6515150070, output_fired_time: 4.7242856026, propagate_forward_time: 261.1375732422, propagate_backward_time: 637.3157958984, weight_update_time: 0.7996188998, other_time: 7.4159545898
epoch time: 53.9883918762s, input_fired_time: 0.6526093483, output_fired_time: 0.0000000000, propagate_forward_time: 52.1582603455, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1775207520
validation[          , genome  6293] predictions:    5327/  10000 (53.27%), best:    5600/10000 (56.00%), error:     14431.01855, best error:     13335.41602 on epoch:    16, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 917.1717529297s, input_fired_time: 6.6604542732, output_fired_time: 4.7130541801, propagate_forward_time: 261.2259826660, propagate_backward_time: 637.2197265625, weight_update_time: 0.7989436388, other_time: 7.3525390625
epoch time: 54.0326919556s, input_fired_time: 0.6626133919, output_fired_time: 0.0000000000, propagate_forward_time: 52.1863250732, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1837539673
validation[          , genome  6293] predictions:    5347/  10000 (53.47%), best:    5600/10000 (56.00%), error:     14669.00781, best error:     13335.41602 on epoch:    16, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 916.6578979492s, input_fired_time: 6.6844034195, output_fired_time: 4.7132620811, propagate_forward_time: 261.1856384277, propagate_backward_time: 636.7505493164, weight_update_time: 0.7974759936, other_time: 7.3240356445
epoch time: 53.9917221069s, input_fired_time: 0.6629616022, output_fired_time: 0.0000000000, propagate_forward_time: 52.1426010132, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1861610413
validation[          , genome  6293] predictions:    5491/  10000 (54.91%), best:    5600/10000 (56.00%), error:     13756.71680, best error:     13335.41602 on epoch:    16, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 917.5639648438s, input_fired_time: 6.6656422615, output_fired_time: 4.7078294754, propagate_forward_time: 261.2303771973, propagate_backward_time: 637.6188964844, weight_update_time: 0.7987923026, other_time: 7.3411865234
epoch time: 54.0514106750s, input_fired_time: 0.6678122878, output_fired_time: 0.0000000000, propagate_forward_time: 52.1999244690, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1836738586
validation[          , genome  6293] predictions:    5514/  10000 (55.14%), best:    5600/10000 (56.00%), error:     13866.67969, best error:     13335.41602 on epoch:    16, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 916.6298217773s, input_fired_time: 6.6770329475, output_fired_time: 4.7056879997, propagate_forward_time: 260.9652404785, propagate_backward_time: 636.9388427734, weight_update_time: 0.7985679507, other_time: 7.3430175781
epoch time: 54.0720100403s, input_fired_time: 0.6665480137, output_fired_time: 0.0000000000, propagate_forward_time: 52.2189750671, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1864852905
validation[          , genome  6293] predictions:    5516/  10000 (55.16%), best:    5600/10000 (56.00%), error:     13624.05273, best error:     13335.41602 on epoch:    16, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 918.5501098633s, input_fired_time: 6.6883025169, output_fired_time: 4.7173066139, propagate_forward_time: 261.4046325684, propagate_backward_time: 638.4422607422, weight_update_time: 0.7985364795, other_time: 7.2976074219
epoch time: 54.0261039734s, input_fired_time: 0.6715906262, output_fired_time: 0.0000000000, propagate_forward_time: 52.1788864136, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1756286621
validation[          , genome  6293] predictions:    5602/  10000 (56.02%), best:    5600/10000 (56.00%), error:     13619.51758, best error:     13335.41602 on epoch:    16, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 917.2335815430s, input_fired_time: 6.6791968346, output_fired_time: 4.7050805092, propagate_forward_time: 261.2492675781, propagate_backward_time: 637.2691040039, weight_update_time: 0.7999611497, other_time: 7.3309326172
epoch time: 54.2521591187s, input_fired_time: 0.6748496294, output_fired_time: 0.0000000000, propagate_forward_time: 52.3936004639, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1837081909
validation[          , genome  6293] predictions:    5535/  10000 (55.35%), best:    5600/10000 (56.00%), error:     13991.97656, best error:     13335.41602 on epoch:    16, 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: 269.9993896484s, input_fired_time: 3.3346745968, output_fired_time: 0.0000000000, propagate_forward_time: 260.8956909180, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.7690124512
best training[          , genome  6293] predictions:   31225/  50000 (62.45%), best:    5600/10000 (56.00%), error:     55498.84766, best error:     13335.41602 on epoch:    16, 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: 53.9901885986s, input_fired_time: 0.6642729044, output_fired_time: 0.0000000000, propagate_forward_time: 52.1390838623, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1868324280
   testing[          , genome  6293] predictions:    5600/  10000 (56.00%), best:    5600/10000 (56.00%), error:     13335.41602, best error:     13335.41602 on epoch:    16, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
00:30:58 (10924): called boinc_finish(0)

</stderr_txt>
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