Nameexact_genome_1542495604_168_6174_1
Workunit4095568
Created18 Nov 2018, 2:03:56 UTC
Sent18 Nov 2018, 2:06:23 UTC
Report deadline10 Dec 2018, 12:26:17 UTC
Received21 Nov 2018, 8:24:52 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID30770
Run time7 hours 49 min 11 sec
CPU time7 hours 46 min 24 sec
Validate stateValid
Credit5,607.62
Device peak FLOPS4.85 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size525.14 MB
Peak swap size546.56 MB
Peak disk usage10.30 MB

Stderr output

<core_client_version>7.6.33</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_1542495604_168_6174.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_168_6174_1_r959540119_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542495604_168_6174.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: 6174
read normal distribution: '1 1.04451596736908 0.598120868206024'
generator_str: '177744430'
read generator: 177744430
read generated_by_map:
1 split_edge 1
reading 82 nodes.
reading 342 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: 200882033
post shuffle 1: 1654740577
epoch time: 975.94189453125s, input_fired_time: 9.34276008605957, output_fired_time: 7.85411882400513, propagate_forward_time: 356.841003417969, propagate_backward_time: 589.648132324219, weight_update_time: 1.04608547687531, other_time: 12.255859375
epoch time: 74.2702941894531s, input_fired_time: 1.1280745267868, output_fired_time: 0, propagate_forward_time: 70.9512023925781, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.19101715087891
validation[          , genome  6174] predictions:    5359/  10000 (53.59%), best:    5359/10000 (53.59%), error:     15923.33203, best error:     15923.33203 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 971.6787109375s, input_fired_time: 9.2657546997, output_fired_time: 7.8362364769, propagate_forward_time: 354.4021606445, propagate_backward_time: 587.9890136719, weight_update_time: 1.0338014364, other_time: 12.1855468750
epoch time: 73.9738540649s, input_fired_time: 1.1124337912, output_fired_time: 0.0000000000, propagate_forward_time: 70.6870880127, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1743316650
validation[          , genome  6174] predictions:    4988/  10000 (49.88%), best:    5359/10000 (53.59%), error:     16872.92969, best error:     15923.33203 on epoch:     0, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 971.6149291992s, input_fired_time: 9.2283124924, output_fired_time: 7.8775310516, propagate_forward_time: 355.1303405762, propagate_backward_time: 587.1751708984, weight_update_time: 1.0316998959, other_time: 12.2036132813
epoch time: 73.8127212524s, input_fired_time: 1.1025049686, output_fired_time: 0.0000000000, propagate_forward_time: 70.5108947754, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1993179321
validation[          , genome  6174] predictions:    5378/  10000 (53.78%), best:    5378/10000 (53.78%), error:     14434.11426, best error:     14434.11426 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 976.9801635742s, input_fired_time: 9.2525491714, output_fired_time: 7.8845882416, propagate_forward_time: 356.2223510742, propagate_backward_time: 591.4142456055, weight_update_time: 1.0411517620, other_time: 12.2064208984
epoch time: 75.0092849731s, input_fired_time: 1.1075128317, output_fired_time: 0.0000000000, propagate_forward_time: 71.6444396973, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2573318481
validation[          , genome  6174] predictions:    4889/  10000 (48.89%), best:    5378/10000 (53.78%), error:     16705.92773, best error:     14434.11426 on epoch:     2, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 978.0201416016s, input_fired_time: 9.2535066605, output_fired_time: 7.8962421417, propagate_forward_time: 357.3261718750, propagate_backward_time: 591.3436889648, weight_update_time: 1.0330250263, other_time: 12.2005615234
epoch time: 75.1222915649s, input_fired_time: 1.1250641346, output_fired_time: 0.0000000000, propagate_forward_time: 71.7554397583, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2417907715
validation[          , genome  6174] predictions:    5264/  10000 (52.64%), best:    5378/10000 (53.78%), error:     15361.55273, best error:     14434.11426 on epoch:     2, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 973.1937255859s, input_fired_time: 9.1693983078, output_fired_time: 7.8878355026, propagate_forward_time: 354.3388061523, propagate_backward_time: 589.5570678711, weight_update_time: 1.0329811573, other_time: 12.2406616211
epoch time: 74.7345733643s, input_fired_time: 1.1149549484, output_fired_time: 0.0000000000, propagate_forward_time: 71.3982315063, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2213897705
validation[          , genome  6174] predictions:    5191/  10000 (51.91%), best:    5378/10000 (53.78%), error:     16039.01660, best error:     14434.11426 on epoch:     2, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 971.0777587891s, input_fired_time: 9.2024497986, output_fired_time: 7.8157072067, propagate_forward_time: 354.9438476563, propagate_backward_time: 586.9737548828, weight_update_time: 1.0328743458, other_time: 12.1419677734
epoch time: 74.2086944580s, input_fired_time: 1.1111724377, output_fired_time: 0.0000000000, propagate_forward_time: 70.8771743774, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2203445435
validation[          , genome  6174] predictions:    5327/  10000 (53.27%), best:    5378/10000 (53.78%), error:     14806.87109, best error:     14434.11426 on epoch:     2, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 976.1232299805s, input_fired_time: 9.2349452972, output_fired_time: 7.9057073593, propagate_forward_time: 354.9974670410, propagate_backward_time: 591.7142333984, weight_update_time: 1.0441130400, other_time: 12.2708740234
epoch time: 75.1993484497s, input_fired_time: 1.1294496059, output_fired_time: 0.0000000000, propagate_forward_time: 71.8673629761, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2025375366
validation[          , genome  6174] predictions:    5638/  10000 (56.38%), best:    5638/10000 (56.38%), error:     13476.68066, best error:     13476.68066 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 978.5144653320s, input_fired_time: 9.2753772736, output_fired_time: 7.9002137184, propagate_forward_time: 356.9872741699, propagate_backward_time: 592.0480346680, weight_update_time: 1.0435788631, other_time: 12.3035278320
epoch time: 75.7326431274s, input_fired_time: 1.0936192274, output_fired_time: 0.0000000000, propagate_forward_time: 72.3714141846, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2676086426
validation[          , genome  6174] predictions:    4680/  10000 (46.80%), best:    5638/10000 (56.38%), error:     18839.94531, best error:     13476.68066 on epoch:     7, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 972.9777832031s, input_fired_time: 9.2219848633, output_fired_time: 7.8500075340, propagate_forward_time: 355.0606079102, propagate_backward_time: 588.6510009766, weight_update_time: 1.0276048183, other_time: 12.1941528320
epoch time: 74.2521438599s, input_fired_time: 1.1169689894, output_fired_time: 0.0000000000, propagate_forward_time: 70.9272079468, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2079696655
validation[          , genome  6174] predictions:    5501/  10000 (55.01%), best:    5638/10000 (56.38%), error:     14665.11035, best error:     13476.68066 on epoch:     7, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 971.7916870117s, input_fired_time: 9.2418861389, output_fired_time: 7.8492455482, propagate_forward_time: 354.4733581543, propagate_backward_time: 588.0123291016, weight_update_time: 1.0347954035, other_time: 12.2148437500
epoch time: 74.3696517944s, input_fired_time: 1.1185027361, output_fired_time: 0.0000000000, propagate_forward_time: 71.0291595459, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2219924927
validation[          , genome  6174] predictions:    5616/  10000 (56.16%), best:    5638/10000 (56.38%), error:     13804.28516, best error:     13476.68066 on epoch:     7, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 978.2214355469s, input_fired_time: 9.3194055557, output_fired_time: 7.9313464165, propagate_forward_time: 357.3761291504, propagate_backward_time: 591.2715454102, weight_update_time: 1.0388681889, other_time: 12.3230590820
epoch time: 73.8572769165s, input_fired_time: 1.1023353338, output_fired_time: 0.0000000000, propagate_forward_time: 70.5573501587, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1975936890
validation[          , genome  6174] predictions:    5510/  10000 (55.10%), best:    5638/10000 (56.38%), error:     13860.02930, best error:     13476.68066 on epoch:     7, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 973.0467529297s, input_fired_time: 9.2653636932, output_fired_time: 7.8430986404, propagate_forward_time: 355.3175659180, propagate_backward_time: 588.3594360352, weight_update_time: 1.0339208841, other_time: 12.2612915039
epoch time: 74.4614868164s, input_fired_time: 1.1148245335, output_fired_time: 0.0000000000, propagate_forward_time: 71.1159133911, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2307510376
validation[          , genome  6174] predictions:    5266/  10000 (52.66%), best:    5638/10000 (56.38%), error:     15365.00977, best error:     13476.68066 on epoch:     7, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 971.4940795898s, input_fired_time: 9.2374897003, output_fired_time: 7.8704910278, propagate_forward_time: 353.5765075684, propagate_backward_time: 588.5483398438, weight_update_time: 1.0397434235, other_time: 12.2612304688
epoch time: 74.5258102417s, input_fired_time: 1.1238719225, output_fired_time: 0.0000000000, propagate_forward_time: 71.1882553101, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2136840820
validation[          , genome  6174] predictions:    5782/  10000 (57.82%), best:    5782/10000 (57.82%), error:     13194.71973, best error:     13194.71973 on epoch:    13, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 968.7492675781s, input_fired_time: 9.2181282043, output_fired_time: 7.8444623947, propagate_forward_time: 352.9423217773, propagate_backward_time: 586.5654907227, weight_update_time: 1.0267641544, other_time: 12.1788330078
epoch time: 73.6657257080s, input_fired_time: 1.1185597181, output_fired_time: 0.0000000000, propagate_forward_time: 70.3415069580, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2056579590
validation[          , genome  6174] predictions:    5741/  10000 (57.41%), best:    5741/10000 (57.41%), error:     13027.37695, best error:     13027.37695 on epoch:    14, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 970.4625244141s, input_fired_time: 9.2501716614, output_fired_time: 7.8426799774, propagate_forward_time: 353.4299621582, propagate_backward_time: 587.6937255859, weight_update_time: 1.0342048407, other_time: 12.2459716797
epoch time: 75.2824249268s, input_fired_time: 1.1283491850, output_fired_time: 0.0000000000, propagate_forward_time: 71.9257507324, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2283248901
validation[          , genome  6174] predictions:    5561/  10000 (55.61%), best:    5741/10000 (57.41%), error:     14038.27344, best error:     13027.37695 on epoch:    14, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1092.7066650391s, input_fired_time: 10.2346763611, output_fired_time: 8.8497314453, propagate_forward_time: 401.8818359375, propagate_backward_time: 657.9863891602, weight_update_time: 1.1347868443, other_time: 13.7540893555
epoch time: 83.9498138428s, input_fired_time: 1.2307693958, output_fired_time: 0.0000000000, propagate_forward_time: 80.1930847168, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5259628296
validation[          , genome  6174] predictions:    5683/  10000 (56.83%), best:    5741/10000 (57.41%), error:     13916.42090, best error:     13027.37695 on epoch:    14, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1161.2877197266s, input_fired_time: 10.7677164078, output_fired_time: 9.4198427200, propagate_forward_time: 429.0226135254, propagate_backward_time: 697.5520629883, weight_update_time: 1.1796867847, other_time: 14.5255737305
epoch time: 89.0630645752s, input_fired_time: 1.2927387953, output_fired_time: 0.0000000000, propagate_forward_time: 85.1592330933, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6110916138
validation[          , genome  6174] predictions:    5554/  10000 (55.54%), best:    5741/10000 (57.41%), error:     14052.47754, best error:     13027.37695 on epoch:    14, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1029.6191406250s, input_fired_time: 9.7414741516, output_fired_time: 8.3022966385, propagate_forward_time: 377.3807983398, propagate_backward_time: 621.2927246094, weight_update_time: 1.0733827353, other_time: 12.9018554688
epoch time: 75.5141525269s, input_fired_time: 1.1366987228, output_fired_time: 0.0000000000, propagate_forward_time: 72.1017608643, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2756958008
validation[          , genome  6174] predictions:    5373/  10000 (53.73%), best:    5741/10000 (57.41%), error:     14789.19336, best error:     13027.37695 on epoch:    14, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 974.0266723633s, input_fired_time: 9.2925224304, output_fired_time: 7.8927197456, propagate_forward_time: 355.0292968750, propagate_backward_time: 589.5748291016, weight_update_time: 1.0424278975, other_time: 12.2373046875
epoch time: 73.5202713013s, input_fired_time: 1.1068174839, output_fired_time: 0.0000000000, propagate_forward_time: 70.2354965210, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1779556274
validation[          , genome  6174] predictions:    5688/  10000 (56.88%), best:    5741/10000 (57.41%), error:     13510.00098, best error:     13027.37695 on epoch:    14, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 969.8419189453s, input_fired_time: 9.2482099533, output_fired_time: 7.8675322533, propagate_forward_time: 353.7108154297, propagate_backward_time: 586.7398071289, weight_update_time: 1.0334419012, other_time: 12.2755126953
epoch time: 74.0272293091s, input_fired_time: 1.1305913925, output_fired_time: 0.0000000000, propagate_forward_time: 70.7172927856, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1793441772
validation[          , genome  6174] predictions:    5688/  10000 (56.88%), best:    5741/10000 (57.41%), error:     13706.23730, best error:     13027.37695 on epoch:    14, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 976.0985107422s, input_fired_time: 9.3284997940, output_fired_time: 7.8908729553, propagate_forward_time: 356.6077270508, propagate_backward_time: 590.0004882813, weight_update_time: 1.0381937027, other_time: 12.2709350586
epoch time: 74.0972900391s, input_fired_time: 1.1351161003, output_fired_time: 0.0000000000, propagate_forward_time: 70.7667999268, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1953735352
validation[          , genome  6174] predictions:    5601/  10000 (56.01%), best:    5741/10000 (57.41%), error:     14161.42871, best error:     13027.37695 on epoch:    14, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 978.2745361328s, input_fired_time: 9.3760356903, output_fired_time: 7.9113354683, propagate_forward_time: 357.0667419434, propagate_backward_time: 591.5371093750, weight_update_time: 1.0527789593, other_time: 12.3833007813
epoch time: 73.7809524536s, input_fired_time: 1.1272672415, output_fired_time: 0.0000000000, propagate_forward_time: 70.4563446045, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1973419189
validation[          , genome  6174] predictions:    5126/  10000 (51.26%), best:    5741/10000 (57.41%), error:     16382.55273, best error:     13027.37695 on epoch:    14, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 972.2106933594s, input_fired_time: 9.3084306717, output_fired_time: 7.8201746941, propagate_forward_time: 354.5282287598, propagate_backward_time: 588.2822265625, weight_update_time: 1.0409339666, other_time: 12.2716064453
epoch time: 73.7513122559s, input_fired_time: 1.1072802544, output_fired_time: 0.0000000000, propagate_forward_time: 70.4599456787, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1840896606
validation[          , genome  6174] predictions:    5549/  10000 (55.49%), best:    5741/10000 (57.41%), error:     14343.34180, best error:     13027.37695 on epoch:    14, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 972.3099975586s, input_fired_time: 9.3341751099, output_fired_time: 7.8514003754, propagate_forward_time: 354.3254699707, propagate_backward_time: 588.5465087891, weight_update_time: 1.0338267088, other_time: 12.2524414063
epoch time: 74.4719390869s, input_fired_time: 1.1367896795, output_fired_time: 0.0000000000, propagate_forward_time: 71.1005401611, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2346115112
validation[          , genome  6174] predictions:    5770/  10000 (57.70%), best:    5770/10000 (57.70%), error:     12937.23730, best error:     12937.23730 on epoch:    24, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 979.4400024414s, input_fired_time: 9.3843917847, output_fired_time: 7.9281163216, propagate_forward_time: 356.7351989746, propagate_backward_time: 593.0739746094, weight_update_time: 1.0520300865, other_time: 12.3183593750
epoch time: 74.7581787109s, input_fired_time: 1.1454513073, output_fired_time: 0.0000000000, propagate_forward_time: 71.3953933716, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2173309326
validation[          , genome  6174] predictions:    5617/  10000 (56.17%), best:    5770/10000 (57.70%), error:     13802.24023, best error:     12937.23730 on epoch:    24, 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: 373.8593444824s, input_fired_time: 5.7060775757, output_fired_time: 0.0000000000, propagate_forward_time: 356.8839416504, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.2693176270
best training[          , genome  6174] predictions:   32810/  50000 (65.62%), best:    5770/10000 (57.70%), error:     49800.17969, best error:     12937.23730 on epoch:    24, 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: 74.4602279663s, input_fired_time: 1.1406481266, output_fired_time: 0.0000000000, propagate_forward_time: 71.0974273682, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2221527100
   testing[          , genome  6174] predictions:    5770/  10000 (57.70%), best:    5770/10000 (57.70%), error:     12937.23730, best error:     12937.23730 on epoch:    24, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
02:24:11 (8764): called boinc_finish(0)

</stderr_txt>
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