Nameexact_genome_1542649503_167_6344_0
Workunit4099689
Created20 Nov 2018, 3:20:57 UTC
Sent20 Nov 2018, 3:30:14 UTC
Report deadline13 Dec 2018, 12:42:39 UTC
Received22 Nov 2018, 11:17:32 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID58206
Run time10 hours 53 min 19 sec
CPU time10 hours 32 min 46 sec
Validate stateValid
Credit5,845.91
Device peak FLOPS2.94 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33

Stderr output

<core_client_version>6.10.58</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_167_6344.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_167_6344_0_r288786307_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542649503_167_6344.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: 6344
read normal distribution: '1 0 0'
generator_str: '916668254'
read generator: 916668254
read generated_by_map:
1 enable_node 1
reading 72 nodes.
reading 344 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: 0.0684280395507812
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: 395661400
post shuffle 1: 1164684850
epoch time: 1677.83288574219s, input_fired_time: 7.18187761306763, output_fired_time: 4.67226600646973, propagate_forward_time: 743.896850585938, propagate_backward_time: 900.470764160156, weight_update_time: 5.01480197906494, other_time: 21.6111450195312
epoch time: 158.484375s, input_fired_time: 0.844712615013123, output_fired_time: 0, propagate_forward_time: 153.573318481445, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.06634521484375
validation[          , genome  6344] predictions:    4712/  10000 (47.12%), best:    4712/10000 (47.12%), error:     18418.74609, best error:     18418.74609 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1686.0830078125s, input_fired_time: 7.0800566673, output_fired_time: 5.6259341240, propagate_forward_time: 744.0642089844, propagate_backward_time: 907.6676025391, weight_update_time: 4.0302767754, other_time: 21.6451416016
epoch time: 157.8730316162s, input_fired_time: 0.7261859179, output_fired_time: 0.0000000000, propagate_forward_time: 153.0312957764, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1155548096
validation[          , genome  6344] predictions:    4861/  10000 (48.61%), best:    4861/10000 (48.61%), error:     16646.27344, best error:     16646.27344 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1694.3809814453s, input_fired_time: 7.1417174339, output_fired_time: 5.6910972595, propagate_forward_time: 762.2799072266, propagate_backward_time: 896.6657104492, weight_update_time: 4.0162267685, other_time: 22.6026000977
epoch time: 155.6881408691s, input_fired_time: 0.7695648074, output_fired_time: 0.0000000000, propagate_forward_time: 151.8748016357, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0437774658
validation[          , genome  6344] predictions:    5104/  10000 (51.04%), best:    5104/10000 (51.04%), error:     15980.34180, best error:     15980.34180 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1689.9978027344s, input_fired_time: 9.1567201614, output_fired_time: 7.6493554115, propagate_forward_time: 757.3751220703, propagate_backward_time: 893.0967407227, weight_update_time: 4.0484881401, other_time: 22.7197875977
epoch time: 155.0221557617s, input_fired_time: 0.7180936337, output_fired_time: 0.0000000000, propagate_forward_time: 151.2903137207, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0137481689
validation[          , genome  6344] predictions:    4888/  10000 (48.88%), best:    5104/10000 (51.04%), error:     16304.31055, best error:     15980.34180 on epoch:     2, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1690.5224609375s, input_fired_time: 6.1726136208, output_fired_time: 6.6894083023, propagate_forward_time: 762.7485961914, propagate_backward_time: 891.1921997070, weight_update_time: 4.0422005653, other_time: 23.7196044922
epoch time: 153.7299957275s, input_fired_time: 0.7367722392, output_fired_time: 0.0000000000, propagate_forward_time: 145.9517974854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.0414276123
validation[          , genome  6344] predictions:    5156/  10000 (51.56%), best:    5156/10000 (51.56%), error:     15321.80664, best error:     15321.80664 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1690.7515869141s, input_fired_time: 8.0906381607, output_fired_time: 5.6639800072, propagate_forward_time: 739.8689575195, propagate_backward_time: 914.4791259766, weight_update_time: 4.0364923477, other_time: 22.6488647461
epoch time: 156.9611358643s, input_fired_time: 0.7309574485, output_fired_time: 0.0000000000, propagate_forward_time: 152.1740875244, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0560913086
validation[          , genome  6344] predictions:    5136/  10000 (51.36%), best:    5156/10000 (51.56%), error:     15401.74219, best error:     15321.80664 on epoch:     4, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1683.1202392578s, input_fired_time: 9.1946563721, output_fired_time: 6.7206072807, propagate_forward_time: 763.0004882812, propagate_backward_time: 880.5628662109, weight_update_time: 3.0277442932, other_time: 23.6416015625
epoch time: 158.4626464844s, input_fired_time: 0.7417656183, output_fired_time: 0.0000000000, propagate_forward_time: 152.6477966309, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0730895996
validation[          , genome  6344] predictions:    5092/  10000 (50.92%), best:    5156/10000 (51.56%), error:     15827.51270, best error:     15321.80664 on epoch:     4, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1685.2030029297s, input_fired_time: 7.1206145287, output_fired_time: 7.6641445160, propagate_forward_time: 762.6813964844, propagate_backward_time: 885.1268920898, weight_update_time: 4.0246438980, other_time: 22.6099243164
epoch time: 158.0749053955s, input_fired_time: 0.7816668153, output_fired_time: 0.0000000000, propagate_forward_time: 153.1707611084, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1224822998
validation[          , genome  6344] predictions:    5047/  10000 (50.47%), best:    5156/10000 (51.56%), error:     15658.18848, best error:     15321.80664 on epoch:     4, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1688.2565917969s, input_fired_time: 7.1096863747, output_fired_time: 4.6656723022, propagate_forward_time: 769.0997924805, propagate_backward_time: 879.7092285156, weight_update_time: 5.0688643456, other_time: 27.6721801758
epoch time: 158.4747619629s, input_fired_time: 1.7151019573, output_fired_time: 0.0000000000, propagate_forward_time: 151.6598968506, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0997619629
validation[          , genome  6344] predictions:    5045/  10000 (50.45%), best:    5156/10000 (51.56%), error:     15531.94141, best error:     15321.80664 on epoch:     4, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1690.4940185547s, input_fired_time: 8.4221181870, output_fired_time: 5.6767807007, propagate_forward_time: 772.9714355469, propagate_backward_time: 879.2899169922, weight_update_time: 3.0492746830, other_time: 24.1337890625
epoch time: 154.6492309570s, input_fired_time: 0.7106183767, output_fired_time: 0.0000000000, propagate_forward_time: 148.8824615479, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0561523438
validation[          , genome  6344] predictions:    4605/  10000 (46.05%), best:    5156/10000 (51.56%), error:     17446.79102, best error:     15321.80664 on epoch:     4, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1696.4887695312s, input_fired_time: 8.0870008469, output_fired_time: 7.6710691452, propagate_forward_time: 777.0751953125, propagate_backward_time: 882.9312744141, weight_update_time: 3.0326175690, other_time: 20.7242431641
epoch time: 156.7456817627s, input_fired_time: 0.7294768095, output_fired_time: 0.0000000000, propagate_forward_time: 152.0062561035, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0099487305
validation[          , genome  6344] predictions:    5201/  10000 (52.01%), best:    5201/10000 (52.01%), error:     14244.31250, best error:     14244.31250 on epoch:    10, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1687.9678955078s, input_fired_time: 8.1184024811, output_fired_time: 5.7113275528, propagate_forward_time: 760.0841674805, propagate_backward_time: 892.4053344727, weight_update_time: 4.0203242302, other_time: 21.6486816406
epoch time: 153.3861541748s, input_fired_time: 0.7376882434, output_fired_time: 0.0000000000, propagate_forward_time: 149.6110839844, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0373840332
validation[          , genome  6344] predictions:    5494/  10000 (54.94%), best:    5494/10000 (54.94%), error:     14001.50293, best error:     14001.50293 on epoch:    11, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1729.1912841797s, input_fired_time: 8.1414737701, output_fired_time: 5.7063531876, propagate_forward_time: 759.9912719727, propagate_backward_time: 930.6097412109, weight_update_time: 5.0313320160, other_time: 24.7424926758
epoch time: 158.4306335449s, input_fired_time: 0.7660299540, output_fired_time: 0.0000000000, propagate_forward_time: 154.5203399658, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1442565918
validation[          , genome  6344] predictions:    5312/  10000 (53.12%), best:    5494/10000 (54.94%), error:     14446.56543, best error:     14001.50293 on epoch:    11, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1706.7874755859s, input_fired_time: 7.1529607773, output_fired_time: 4.6856460571, propagate_forward_time: 762.8168945312, propagate_backward_time: 911.5237426758, weight_update_time: 4.0225062370, other_time: 20.6082153320
epoch time: 158.4436492920s, input_fired_time: 0.7453811765, output_fired_time: 0.0000000000, propagate_forward_time: 154.6304931641, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0677795410
validation[          , genome  6344] predictions:    5217/  10000 (52.17%), best:    5494/10000 (54.94%), error:     15057.04395, best error:     14001.50293 on epoch:    11, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1702.1579589844s, input_fired_time: 11.1368150711, output_fired_time: 5.6702775955, propagate_forward_time: 745.3102416992, propagate_backward_time: 913.4241333008, weight_update_time: 6.0413265228, other_time: 26.6164550781
epoch time: 151.6946258545s, input_fired_time: 0.7472413778, output_fired_time: 0.0000000000, propagate_forward_time: 145.9307556152, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0166320801
validation[          , genome  6344] predictions:    5434/  10000 (54.34%), best:    5494/10000 (54.94%), error:     14358.98047, best error:     14001.50293 on epoch:    11, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1701.5725097656s, input_fired_time: 9.2694559097, output_fired_time: 4.6838755608, propagate_forward_time: 782.1453247070, propagate_backward_time: 884.8158569336, weight_update_time: 3.0535850525, other_time: 20.6580810547
epoch time: 154.1642608643s, input_fired_time: 0.7501785159, output_fired_time: 0.0000000000, propagate_forward_time: 149.3958129883, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0182647705
validation[          , genome  6344] predictions:    5148/  10000 (51.48%), best:    5494/10000 (54.94%), error:     14931.38574, best error:     14001.50293 on epoch:    11, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1706.1668701172s, input_fired_time: 8.1755704880, output_fired_time: 5.7388367653, propagate_forward_time: 772.5647583008, propagate_backward_time: 899.9986572266, weight_update_time: 4.0417828560, other_time: 19.6890258789
epoch time: 159.5945587158s, input_fired_time: 0.7526081800, output_fired_time: 0.0000000000, propagate_forward_time: 152.7442626953, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.0976867676
validation[          , genome  6344] predictions:    5500/  10000 (55.00%), best:    5500/10000 (55.00%), error:     13617.07520, best error:     13617.07520 on epoch:    16, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1683.2810058594s, input_fired_time: 8.1706209183, output_fired_time: 6.7107028961, propagate_forward_time: 743.8812255859, propagate_backward_time: 901.8631591797, weight_update_time: 5.0471568108, other_time: 22.6552734375
epoch time: 156.7526702881s, input_fired_time: 0.7650851011, output_fired_time: 0.0000000000, propagate_forward_time: 152.8296661377, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1579132080
validation[          , genome  6344] predictions:    5365/  10000 (53.65%), best:    5500/10000 (55.00%), error:     14266.68652, best error:     13617.07520 on epoch:    16, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1685.4990234375s, input_fired_time: 7.1529293060, output_fired_time: 6.6891837120, propagate_forward_time: 766.2181396484, propagate_backward_time: 885.2935791016, weight_update_time: 3.0311717987, other_time: 20.1451416016
epoch time: 157.8302612305s, input_fired_time: 0.7565035224, output_fired_time: 0.0000000000, propagate_forward_time: 154.0242462158, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0495147705
validation[          , genome  6344] predictions:    5231/  10000 (52.31%), best:    5500/10000 (55.00%), error:     15518.87500, best error:     13617.07520 on epoch:    16, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1680.5770263672s, input_fired_time: 12.1742944717, output_fired_time: 4.6834459305, propagate_forward_time: 759.4443359375, propagate_backward_time: 882.2698364258, weight_update_time: 4.3891601562, other_time: 22.0050659180
epoch time: 157.7315368652s, input_fired_time: 0.7612010837, output_fired_time: 0.0000000000, propagate_forward_time: 153.8609466553, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1093902588
validation[          , genome  6344] predictions:    5600/  10000 (56.00%), best:    5600/10000 (56.00%), error:     13419.53027, best error:     13419.53027 on epoch:    19, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1696.7362060547s, input_fired_time: 7.1751065254, output_fired_time: 4.6822996140, propagate_forward_time: 755.3498535156, propagate_backward_time: 909.2462158203, weight_update_time: 3.0383787155, other_time: 20.2828369141
epoch time: 151.5375061035s, input_fired_time: 0.7321264148, output_fired_time: 0.0000000000, propagate_forward_time: 146.8166198730, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9887542725
validation[          , genome  6344] predictions:    5018/  10000 (50.18%), best:    5600/10000 (56.00%), error:     15140.00293, best error:     13419.53027 on epoch:    19, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1699.0283203125s, input_fired_time: 8.1600246429, output_fired_time: 8.7542142868, propagate_forward_time: 742.6699829102, propagate_backward_time: 918.7337036133, weight_update_time: 4.9804196358, other_time: 20.7103271484
epoch time: 151.9806365967s, input_fired_time: 0.7383612394, output_fired_time: 0.0000000000, propagate_forward_time: 148.2239532471, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0183258057
validation[          , genome  6344] predictions:    5399/  10000 (53.99%), best:    5600/10000 (56.00%), error:     13955.35938, best error:     13419.53027 on epoch:    19, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1689.4077148438s, input_fired_time: 8.1805524826, output_fired_time: 6.7066540718, propagate_forward_time: 751.3540039062, propagate_backward_time: 902.4702148438, weight_update_time: 4.0192332268, other_time: 20.6962890625
epoch time: 156.8415985107s, input_fired_time: 1.7567191124, output_fired_time: 0.0000000000, propagate_forward_time: 151.0341339111, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0507507324
validation[          , genome  6344] predictions:    5321/  10000 (53.21%), best:    5600/10000 (56.00%), error:     14695.51660, best error:     13419.53027 on epoch:    19, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1696.6363525391s, input_fired_time: 6.2258334160, output_fired_time: 6.6467647552, propagate_forward_time: 766.3999023438, propagate_backward_time: 894.6395263672, weight_update_time: 3.1090824604, other_time: 22.7243652344
epoch time: 160.3580932617s, input_fired_time: 0.7706124783, output_fired_time: 0.0000000000, propagate_forward_time: 156.4809417725, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1065368652
validation[          , genome  6344] predictions:    5614/  10000 (56.14%), best:    5614/10000 (56.14%), error:     13225.09668, best error:     13225.09668 on epoch:    23, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1686.7065429688s, input_fired_time: 8.2699575424, output_fired_time: 7.6875491142, propagate_forward_time: 739.9919433594, propagate_backward_time: 909.0671997070, weight_update_time: 3.0416374207, other_time: 21.6900024414
epoch time: 157.5028076172s, input_fired_time: 0.7620980740, output_fired_time: 0.0000000000, propagate_forward_time: 152.6529083252, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0877990723
validation[          , genome  6344] predictions:    5471/  10000 (54.71%), best:    5614/10000 (56.14%), error:     14083.24219, best error:     13225.09668 on epoch:    23, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1687.4598388672s, input_fired_time: 11.2262783051, output_fired_time: 4.6863832474, propagate_forward_time: 757.0113525391, propagate_backward_time: 890.8237915039, weight_update_time: 5.0152482986, other_time: 23.7119750977
epoch time: 156.9182128906s, input_fired_time: 0.7856353521, output_fired_time: 0.0000000000, propagate_forward_time: 152.9806060791, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1519775391
validation[          , genome  6344] predictions:    5388/  10000 (53.88%), best:    5614/10000 (56.14%), error:     14394.12305, best error:     13225.09668 on epoch:    23, epoch:   25/25, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 782.2310791016s, input_fired_time: 3.9716253281, output_fired_time: 0.0000000000, propagate_forward_time: 757.8535156250, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 20.4059448242
best training[          , genome  6344] predictions:   31608/  50000 (63.22%), best:    5614/10000 (56.14%), error:     53951.59375, best error:     13225.09668 on epoch:    23, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 154.5357208252s, input_fired_time: 0.7395107150, output_fired_time: 0.0000000000, propagate_forward_time: 150.9879455566, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8082580566
   testing[          , genome  6344] predictions:    5614/  10000 (56.14%), best:    5614/10000 (56.14%), error:     13225.09668, best error:     13225.09668 on epoch:    23, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
09:18:14 (30755): called boinc_finish(0)

</stderr_txt>
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