Nameexact_genome_1542531604_176_6267_0
Workunit4097653
Created18 Nov 2018, 15:35:58 UTC
Sent18 Nov 2018, 16:18:15 UTC
Report deadline3 Jan 2019, 4:26:27 UTC
Received19 Nov 2018, 6:57:02 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID44167
Run time13 hours 37 min 3 sec
CPU time13 hours 22 min 57 sec
Validate stateValid
Credit11,376.43
Device peak FLOPS3.88 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size522.93 MB
Peak swap size542.76 MB
Peak disk usage10.98 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_1542531604_176_6267.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542531604_176_6267_0_r101274438_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542531604_176_6267.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: 6267
read normal distribution: '1 -0.887675821781158 -0.209281474351883'
generator_str: '1152876494'
read generator: 1152876494
read generated_by_map:
1 split_node 1
reading 89 nodes.
reading 364 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: 1797771424
post shuffle 1: 1034208416
epoch time: 879.291381835938s, input_fired_time: 12.2555179595947, output_fired_time: 9.38150119781494, propagate_forward_time: 312.546966552734, propagate_backward_time: 523.432434082031, weight_update_time: 1.53432178497314, other_time: 21.6749877929688
epoch time: 68.0238494873047s, input_fired_time: 1.59488213062286, output_fired_time: 0, propagate_forward_time: 62.5326347351074, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.89633560180664
validation[          , genome  6267] predictions:    4868/  10000 (48.68%), best:    4868/10000 (48.68%), error:     20339.38086, best error:     20339.38086 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 889.5311889648s, input_fired_time: 12.5630884171, output_fired_time: 9.6440010071, propagate_forward_time: 315.7591247559, propagate_backward_time: 529.0567626953, weight_update_time: 1.5659008026, other_time: 22.5081787109
epoch time: 68.1774749756s, input_fired_time: 1.6656550169, output_fired_time: 0.0000000000, propagate_forward_time: 62.4476432800, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0641746521
validation[          , genome  6267] predictions:    5056/  10000 (50.56%), best:    5056/10000 (50.56%), error:     16507.92578, best error:     16507.92578 on epoch:     1, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 904.8550415039s, input_fired_time: 12.9784202576, output_fired_time: 10.1407518387, propagate_forward_time: 319.2185974121, propagate_backward_time: 540.2130126953, weight_update_time: 1.5855841637, other_time: 22.3043212891
epoch time: 69.5641555786s, input_fired_time: 1.7257655859, output_fired_time: 0.0000000000, propagate_forward_time: 63.7723121643, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0660743713
validation[          , genome  6267] predictions:    4994/  10000 (49.94%), best:    4994/10000 (49.94%), error:     16499.20313, best error:     16499.20313 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 896.1946411133s, input_fired_time: 12.3262109756, output_fired_time: 9.6220464706, propagate_forward_time: 317.7070617676, propagate_backward_time: 535.1409301758, weight_update_time: 1.5091310740, other_time: 21.3983764648
epoch time: 68.2034530640s, input_fired_time: 1.6677817106, output_fired_time: 0.0000000000, propagate_forward_time: 62.6532592773, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8824157715
validation[          , genome  6267] predictions:    5002/  10000 (50.02%), best:    4994/10000 (49.94%), error:     17179.70898, best error:     16499.20313 on epoch:     2, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 887.4795532227s, input_fired_time: 11.9477291107, output_fired_time: 9.2073974609, propagate_forward_time: 315.6684570313, propagate_backward_time: 529.3960571289, weight_update_time: 1.5301024914, other_time: 21.2598876953
epoch time: 68.3258132935s, input_fired_time: 1.6612687111, output_fired_time: 0.0000000000, propagate_forward_time: 62.6775932312, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9869499207
validation[          , genome  6267] predictions:    5302/  10000 (53.02%), best:    5302/10000 (53.02%), error:     14764.06348, best error:     14764.06348 on epoch:     4, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 870.5599365234s, input_fired_time: 11.8957071304, output_fired_time: 9.2220687866, propagate_forward_time: 309.5517883301, propagate_backward_time: 518.8453979492, weight_update_time: 1.5187815428, other_time: 21.0449829102
epoch time: 66.6786270142s, input_fired_time: 1.5810371637, output_fired_time: 0.0000000000, propagate_forward_time: 61.3581314087, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7394561768
validation[          , genome  6267] predictions:    5119/  10000 (51.19%), best:    5302/10000 (53.02%), error:     15712.06543, best error:     14764.06348 on epoch:     4, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 880.9939575195s, input_fired_time: 11.9650640488, output_fired_time: 9.2852430344, propagate_forward_time: 312.2539062500, propagate_backward_time: 526.2139282227, weight_update_time: 1.5248188972, other_time: 21.2758178711
epoch time: 71.3112487793s, input_fired_time: 1.7454560995, output_fired_time: 0.0000000000, propagate_forward_time: 65.5002746582, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0655212402
validation[          , genome  6267] predictions:    5034/  10000 (50.34%), best:    5302/10000 (53.02%), error:     16105.83691, best error:     14764.06348 on epoch:     4, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 901.1784667969s, input_fired_time: 12.7411489487, output_fired_time: 10.0254287720, propagate_forward_time: 318.9513244629, propagate_backward_time: 537.1600952148, weight_update_time: 1.5612424612, other_time: 22.3004760742
epoch time: 69.0662307739s, input_fired_time: 1.7446389198, output_fired_time: 0.0000000000, propagate_forward_time: 63.1658592224, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1557350159
validation[          , genome  6267] predictions:    5010/  10000 (50.10%), best:    5302/10000 (53.02%), error:     15982.37598, best error:     14764.06348 on epoch:     4, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 890.7246704102s, input_fired_time: 12.6747570038, output_fired_time: 9.8249311447, propagate_forward_time: 316.3782348633, propagate_backward_time: 529.5111083984, weight_update_time: 1.5634359121, other_time: 22.3356323242
epoch time: 70.8109359741s, input_fired_time: 1.7926281691, output_fired_time: 0.0000000000, propagate_forward_time: 64.8745269775, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1437835693
validation[          , genome  6267] predictions:    5436/  10000 (54.36%), best:    5436/10000 (54.36%), error:     14441.20215, best error:     14441.20215 on epoch:     8, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 921.1466674805s, input_fired_time: 13.4844245911, output_fired_time: 10.7863283157, propagate_forward_time: 324.2285461426, propagate_backward_time: 549.5980224609, weight_update_time: 1.5999053717, other_time: 23.0493164063
epoch time: 70.8595733643s, input_fired_time: 1.7993564606, output_fired_time: 0.0000000000, propagate_forward_time: 64.8756332397, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1845855713
validation[          , genome  6267] predictions:    5368/  10000 (53.68%), best:    5436/10000 (54.36%), error:     14718.96680, best error:     14441.20215 on epoch:     8, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 876.2418823242s, input_fired_time: 12.2939167023, output_fired_time: 9.4671325684, propagate_forward_time: 311.4143981934, propagate_backward_time: 520.9379882813, weight_update_time: 1.5334358215, other_time: 22.1284179688
epoch time: 67.5764999390s, input_fired_time: 1.6036804914, output_fired_time: 0.0000000000, propagate_forward_time: 61.9523200989, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0204963684
validation[          , genome  6267] predictions:    5439/  10000 (54.39%), best:    5439/10000 (54.39%), error:     14351.16309, best error:     14351.16309 on epoch:    10, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 867.4750976563s, input_fired_time: 12.1680727005, output_fired_time: 9.2923593521, propagate_forward_time: 308.7834167480, propagate_backward_time: 515.3884887695, weight_update_time: 1.5332343578, other_time: 21.8427124023
epoch time: 66.3011322021s, input_fired_time: 1.4710260630, output_fired_time: 0.0000000000, propagate_forward_time: 61.1481399536, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6819686890
validation[          , genome  6267] predictions:    5501/  10000 (55.01%), best:    5501/10000 (55.01%), error:     13636.12598, best error:     13636.12598 on epoch:    11, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 873.5611572266s, input_fired_time: 12.0647783279, output_fired_time: 9.3444185257, propagate_forward_time: 310.7916564941, propagate_backward_time: 520.2357788086, weight_update_time: 1.5196450949, other_time: 21.1245727539
epoch time: 67.6402359009s, input_fired_time: 1.5875834227, output_fired_time: 0.0000000000, propagate_forward_time: 62.2556076050, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7970428467
validation[          , genome  6267] predictions:    5292/  10000 (52.92%), best:    5501/10000 (55.01%), error:     14719.83887, best error:     13636.12598 on epoch:    11, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 873.2443237305s, input_fired_time: 11.8755073547, output_fired_time: 9.2817935944, propagate_forward_time: 310.4883422852, propagate_backward_time: 520.4875488281, weight_update_time: 1.5290697813, other_time: 21.1111450195
epoch time: 67.2786560059s, input_fired_time: 1.5944961309, output_fired_time: 0.0000000000, propagate_forward_time: 61.6986274719, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9855308533
validation[          , genome  6267] predictions:    5355/  10000 (53.55%), best:    5501/10000 (55.01%), error:     14087.72852, best error:     13636.12598 on epoch:    11, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 867.6629028320s, input_fired_time: 12.1787595749, output_fired_time: 9.2865495682, propagate_forward_time: 308.3225097656, propagate_backward_time: 515.8120727539, weight_update_time: 1.5472270250, other_time: 22.0629882813
epoch time: 67.0304794312s, input_fired_time: 1.5563259125, output_fired_time: 0.0000000000, propagate_forward_time: 61.5872840881, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8868675232
validation[          , genome  6267] predictions:    5374/  10000 (53.74%), best:    5501/10000 (55.01%), error:     14684.69238, best error:     13636.12598 on epoch:    11, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 871.6630249023s, input_fired_time: 12.2616920471, output_fired_time: 9.4497213364, propagate_forward_time: 309.2882690430, propagate_backward_time: 518.6542968750, weight_update_time: 1.5254641771, other_time: 22.0090332031
epoch time: 68.2339096069s, input_fired_time: 1.6841059923, output_fired_time: 0.0000000000, propagate_forward_time: 62.5730400085, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9767646790
validation[          , genome  6267] predictions:    5353/  10000 (53.53%), best:    5501/10000 (55.01%), error:     14082.55859, best error:     13636.12598 on epoch:    11, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 886.0445556641s, input_fired_time: 12.6747951508, output_fired_time: 9.8145446777, propagate_forward_time: 313.2448730469, propagate_backward_time: 528.1472778320, weight_update_time: 1.5351331234, other_time: 22.1630249023
epoch time: 69.6583480835s, input_fired_time: 1.5794205666, output_fired_time: 0.0000000000, propagate_forward_time: 64.2946014404, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7843246460
validation[          , genome  6267] predictions:    5535/  10000 (55.35%), best:    5501/10000 (55.01%), error:     13721.53613, best error:     13636.12598 on epoch:    11, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 870.9284667969s, input_fired_time: 12.1023740768, output_fired_time: 9.3428068161, propagate_forward_time: 309.8417663574, propagate_backward_time: 517.5966796875, weight_update_time: 1.5384544134, other_time: 22.0447998047
epoch time: 67.9941101074s, input_fired_time: 1.5700500011, output_fired_time: 0.0000000000, propagate_forward_time: 62.5533294678, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8707275391
validation[          , genome  6267] predictions:    5306/  10000 (53.06%), best:    5501/10000 (55.01%), error:     15239.24609, best error:     13636.12598 on epoch:    11, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 865.5272216797s, input_fired_time: 11.7521781921, output_fired_time: 9.0157785416, propagate_forward_time: 308.3368530273, propagate_backward_time: 515.2642822266, weight_update_time: 1.5231455564, other_time: 21.1580810547
epoch time: 66.3587417603s, input_fired_time: 1.4775886536, output_fired_time: 0.0000000000, propagate_forward_time: 61.2368774414, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6442718506
validation[          , genome  6267] predictions:    5664/  10000 (56.64%), best:    5664/10000 (56.64%), error:     13044.33594, best error:     13044.33594 on epoch:    18, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 867.2944335938s, input_fired_time: 11.7183418274, output_fired_time: 8.9715957642, propagate_forward_time: 309.0886230469, propagate_backward_time: 516.6483154297, weight_update_time: 1.4977922440, other_time: 20.8675537109
epoch time: 66.4991912842s, input_fired_time: 1.5103110075, output_fired_time: 0.0000000000, propagate_forward_time: 61.3063240051, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6825599670
validation[          , genome  6267] predictions:    5503/  10000 (55.03%), best:    5664/10000 (56.64%), error:     14003.71680, best error:     13044.33594 on epoch:    18, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 866.8023071289s, input_fired_time: 12.2856321335, output_fired_time: 9.3669767380, propagate_forward_time: 308.3493652344, propagate_backward_time: 514.6561279297, weight_update_time: 1.5691524744, other_time: 22.1441650391
epoch time: 67.5787811279s, input_fired_time: 1.6183716059, output_fired_time: 0.0000000000, propagate_forward_time: 62.0534858704, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9069252014
validation[          , genome  6267] predictions:    5706/  10000 (57.06%), best:    5664/10000 (56.64%), error:     13245.47754, best error:     13044.33594 on epoch:    18, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 872.2187500000s, input_fired_time: 12.4960298538, output_fired_time: 9.5614328384, propagate_forward_time: 310.1546630859, propagate_backward_time: 517.5894775391, weight_update_time: 1.6440302134, other_time: 22.4171142578
epoch time: 67.9694366455s, input_fired_time: 1.7058844566, output_fired_time: 0.0000000000, propagate_forward_time: 62.2252311707, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0383186340
validation[          , genome  6267] predictions:    5653/  10000 (56.53%), best:    5664/10000 (56.64%), error:     13406.53027, best error:     13044.33594 on epoch:    18, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 877.2114868164s, input_fired_time: 12.9670782089, output_fired_time: 9.9057111740, propagate_forward_time: 311.3143615723, propagate_backward_time: 520.4063110352, weight_update_time: 1.5682626963, other_time: 22.6179809570
epoch time: 67.8896408081s, input_fired_time: 1.6258674860, output_fired_time: 0.0000000000, propagate_forward_time: 62.3892364502, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8745346069
validation[          , genome  6267] predictions:    5551/  10000 (55.51%), best:    5664/10000 (56.64%), error:     13462.87695, best error:     13044.33594 on epoch:    18, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 878.1843261719s, input_fired_time: 12.4149303436, output_fired_time: 9.5273351669, propagate_forward_time: 312.2559509277, propagate_backward_time: 521.8706054688, weight_update_time: 1.5385457277, other_time: 22.1154785156
epoch time: 69.7775268555s, input_fired_time: 1.6916671991, output_fired_time: 0.0000000000, propagate_forward_time: 63.9424896240, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1433715820
validation[          , genome  6267] predictions:    5599/  10000 (55.99%), best:    5664/10000 (56.64%), error:     13220.81543, best error:     13044.33594 on epoch:    18, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 863.3979492188s, input_fired_time: 11.8818101883, output_fired_time: 9.0333719254, propagate_forward_time: 307.6136474609, propagate_backward_time: 513.6261596680, weight_update_time: 1.4944696426, other_time: 21.2429199219
epoch time: 66.7775650024s, input_fired_time: 1.5170332193, output_fired_time: 0.0000000000, propagate_forward_time: 61.5646591187, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6958694458
validation[          , genome  6267] predictions:    5563/  10000 (55.63%), best:    5664/10000 (56.64%), error:     13688.28418, best error:     13044.33594 on epoch:    18, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 871.5209350586s, input_fired_time: 11.9423379898, output_fired_time: 9.2398023605, propagate_forward_time: 309.6183471680, propagate_backward_time: 519.7720947266, weight_update_time: 1.4924722910, other_time: 20.9483642578
epoch time: 67.4149627686s, input_fired_time: 1.5732018948, output_fired_time: 0.0000000000, propagate_forward_time: 62.2161865234, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6255722046
validation[          , genome  6267] predictions:    5644/  10000 (56.44%), best:    5664/10000 (56.64%), error:     13682.90820, best error:     13044.33594 on epoch:    18, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 896.7974243164s, input_fired_time: 12.7096843719, output_fired_time: 9.8499631882, propagate_forward_time: 318.1726684570, propagate_backward_time: 534.0262451172, weight_update_time: 1.5426105261, other_time: 22.0388793945
epoch time: 68.8121566772s, input_fired_time: 1.6549950838, output_fired_time: 0.0000000000, propagate_forward_time: 63.1352691650, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0218887329
validation[          , genome  6267] predictions:    5645/  10000 (56.45%), best:    5664/10000 (56.64%), error:     13482.50977, best error:     13044.33594 on epoch:    18, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 888.8786621094s, input_fired_time: 12.6630678177, output_fired_time: 9.9078426361, propagate_forward_time: 314.8447875977, propagate_backward_time: 528.9589843750, weight_update_time: 1.5610713959, other_time: 22.5039672852
epoch time: 67.9912261963s, input_fired_time: 1.6116844416, output_fired_time: 0.0000000000, propagate_forward_time: 62.5074768066, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8720626831
validation[          , genome  6267] predictions:    5689/  10000 (56.89%), best:    5664/10000 (56.64%), error:     13049.19434, best error:     13044.33594 on epoch:    18, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 902.5490112305s, input_fired_time: 12.9714870453, output_fired_time: 10.1458339691, propagate_forward_time: 319.1105651855, propagate_backward_time: 537.8700561523, weight_update_time: 1.5599011183, other_time: 22.4511108398
epoch time: 72.3832702637s, input_fired_time: 1.7501413822, output_fired_time: 0.0000000000, propagate_forward_time: 66.5707168579, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0624084473
validation[          , genome  6267] predictions:    5685/  10000 (56.85%), best:    5664/10000 (56.64%), error:     13486.05957, best error:     13044.33594 on epoch:    18, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 950.7286376953s, input_fired_time: 13.9272041321, output_fired_time: 11.3573350906, propagate_forward_time: 333.4025268555, propagate_backward_time: 568.9083251953, weight_update_time: 1.5902612209, other_time: 23.1332397461
epoch time: 70.1283569336s, input_fired_time: 1.5322860479, output_fired_time: 0.0000000000, propagate_forward_time: 64.8311080933, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7649612427
validation[          , genome  6267] predictions:    5762/  10000 (57.62%), best:    5762/10000 (57.62%), error:     12883.25586, best error:     12883.25586 on epoch:    29, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 878.0841064453s, input_fired_time: 12.4359941483, output_fired_time: 9.5618820190, propagate_forward_time: 311.7848815918, propagate_backward_time: 522.0939331055, weight_update_time: 1.5534156561, other_time: 22.2074584961
epoch time: 67.8217315674s, input_fired_time: 1.6159102917, output_fired_time: 0.0000000000, propagate_forward_time: 62.3203277588, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8854904175
validation[          , genome  6267] predictions:    5565/  10000 (55.65%), best:    5762/10000 (57.62%), error:     13760.50195, best error:     12883.25586 on epoch:    29, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 877.8298339844s, input_fired_time: 11.9528903961, output_fired_time: 9.1418790817, propagate_forward_time: 311.8767700195, propagate_backward_time: 523.6964721680, weight_update_time: 1.5090433359, other_time: 21.1618041992
epoch time: 67.1202697754s, input_fired_time: 1.5190716982, output_fired_time: 0.0000000000, propagate_forward_time: 61.9136428833, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6875534058
validation[          , genome  6267] predictions:    5852/  10000 (58.52%), best:    5852/10000 (58.52%), error:     12613.11230, best error:     12613.11230 on epoch:    31, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 898.3192138672s, input_fired_time: 12.5356616974, output_fired_time: 9.6783065796, propagate_forward_time: 317.5039672852, propagate_backward_time: 537.3637084961, weight_update_time: 1.5049574375, other_time: 21.2376098633
epoch time: 68.6286392212s, input_fired_time: 1.6396734715, output_fired_time: 0.0000000000, propagate_forward_time: 63.2203063965, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7686614990
validation[          , genome  6267] predictions:    5756/  10000 (57.56%), best:    5852/10000 (58.52%), error:     12856.36035, best error:     12613.11230 on epoch:    31, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 899.6246337891s, input_fired_time: 12.8733558655, output_fired_time: 9.8922777176, propagate_forward_time: 317.8430175781, propagate_backward_time: 536.6608276367, weight_update_time: 1.5937902927, other_time: 22.3551635742
epoch time: 68.8171539307s, input_fired_time: 1.6584359407, output_fired_time: 0.0000000000, propagate_forward_time: 63.0715293884, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0871849060
validation[          , genome  6267] predictions:    5749/  10000 (57.49%), best:    5852/10000 (58.52%), error:     13098.31836, best error:     12613.11230 on epoch:    31, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 894.0502319336s, input_fired_time: 12.8363475800, output_fired_time: 9.8876361847, propagate_forward_time: 316.1036682129, propagate_backward_time: 532.8212890625, weight_update_time: 1.5715446472, other_time: 22.4012451172
epoch time: 68.9567260742s, input_fired_time: 1.6768819094, output_fired_time: 0.0000000000, propagate_forward_time: 63.2255554199, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0542907715
validation[          , genome  6267] predictions:    5803/  10000 (58.03%), best:    5803/10000 (58.03%), error:     12477.20313, best error:     12477.20313 on epoch:    34, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 895.5498657227s, input_fired_time: 12.8404731750, output_fired_time: 9.8901052475, propagate_forward_time: 315.6489562988, propagate_backward_time: 534.5762939453, weight_update_time: 1.5632934570, other_time: 22.5941162109
epoch time: 68.8329620361s, input_fired_time: 1.6626411676, output_fired_time: 0.0000000000, propagate_forward_time: 63.2185783386, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9517402649
validation[          , genome  6267] predictions:    5820/  10000 (58.20%), best:    5803/10000 (58.03%), error:     12702.99512, best error:     12477.20313 on epoch:    34, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 892.1539916992s, input_fired_time: 12.9004774094, output_fired_time: 9.8756189346, propagate_forward_time: 315.8211364746, propagate_backward_time: 530.8319702148, weight_update_time: 1.5731575489, other_time: 22.7247924805
epoch time: 69.0885162354s, input_fired_time: 1.6853491068, output_fired_time: 0.0000000000, propagate_forward_time: 63.3763618469, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0268058777
validation[          , genome  6267] predictions:    5807/  10000 (58.07%), best:    5803/10000 (58.03%), error:     12813.61523, best error:     12477.20313 on epoch:    34, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 905.0907592773s, input_fired_time: 12.9293041229, output_fired_time: 10.2183532715, propagate_forward_time: 319.0584716797, propagate_backward_time: 540.9429321289, weight_update_time: 1.5487700701, other_time: 21.9417114258
epoch time: 69.6979370117s, input_fired_time: 1.6960576773, output_fired_time: 0.0000000000, propagate_forward_time: 64.0982742310, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9036026001
validation[          , genome  6267] predictions:    5661/  10000 (56.61%), best:    5803/10000 (58.03%), error:     13118.61230, best error:     12477.20313 on epoch:    34, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 907.7850952148s, input_fired_time: 12.8281402588, output_fired_time: 9.9973678589, propagate_forward_time: 320.1992797852, propagate_backward_time: 543.3530273438, weight_update_time: 1.5056383610, other_time: 21.4072875977
epoch time: 71.0919494629s, input_fired_time: 1.7134903669, output_fired_time: 0.0000000000, propagate_forward_time: 65.3945007324, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9839553833
validation[          , genome  6267] predictions:    5866/  10000 (58.66%), best:    5803/10000 (58.03%), error:     12553.29688, best error:     12477.20313 on epoch:    34, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 887.7515869141s, input_fired_time: 12.3265247345, output_fired_time: 9.5074882507, propagate_forward_time: 315.1365051270, propagate_backward_time: 529.1627197266, weight_update_time: 1.5432373285, other_time: 21.6182861328
epoch time: 67.8483428955s, input_fired_time: 1.5982371569, output_fired_time: 0.0000000000, propagate_forward_time: 62.3606681824, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8894386292
validation[          , genome  6267] predictions:    5966/  10000 (59.66%), best:    5966/10000 (59.66%), error:     12339.47656, best error:     12339.47656 on epoch:    39, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 881.0030517578s, input_fired_time: 12.2830858231, output_fired_time: 9.3150243759, propagate_forward_time: 313.5082397461, propagate_backward_time: 523.7692871094, weight_update_time: 1.5455423594, other_time: 22.1274414063
epoch time: 67.6379165649s, input_fired_time: 1.6106513739, output_fired_time: 0.0000000000, propagate_forward_time: 62.2154731750, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8117942810
validation[          , genome  6267] predictions:    5651/  10000 (56.51%), best:    5966/10000 (59.66%), error:     13579.93945, best error:     12339.47656 on epoch:    39, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 874.1465454102s, input_fired_time: 12.1547594070, output_fired_time: 9.2421369553, propagate_forward_time: 311.1648254395, propagate_backward_time: 519.8639526367, weight_update_time: 1.5407748222, other_time: 21.7208862305
epoch time: 67.6542358398s, input_fired_time: 1.6094893217, output_fired_time: 0.0000000000, propagate_forward_time: 62.1699981689, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8747482300
validation[          , genome  6267] predictions:    5951/  10000 (59.51%), best:    5951/10000 (59.51%), error:     12232.18945, best error:     12232.18945 on epoch:    41, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 895.0237426758s, input_fired_time: 11.0728101730, output_fired_time: 8.6943120956, propagate_forward_time: 319.1306762695, propagate_backward_time: 536.9548339844, weight_update_time: 1.4135102034, other_time: 19.1710815430
epoch time: 67.6434249878s, input_fired_time: 1.5928484201, output_fired_time: 0.0000000000, propagate_forward_time: 62.0794830322, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9710922241
validation[          , genome  6267] predictions:    5825/  10000 (58.25%), best:    5951/10000 (59.51%), error:     12967.36035, best error:     12232.18945 on epoch:    41, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 862.7597656250s, input_fired_time: 12.2443265915, output_fired_time: 9.2298278809, propagate_forward_time: 307.0257263184, propagate_backward_time: 512.2650146484, weight_update_time: 1.5409166813, other_time: 21.9948730469
epoch time: 66.0435638428s, input_fired_time: 1.4675158262, output_fired_time: 0.0000000000, propagate_forward_time: 60.9668197632, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6092300415
validation[          , genome  6267] predictions:    5879/  10000 (58.79%), best:    5951/10000 (59.51%), error:     12564.46680, best error:     12232.18945 on epoch:    41, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 855.1414794922s, input_fired_time: 11.7354316711, output_fired_time: 8.8877468109, propagate_forward_time: 304.7093505859, propagate_backward_time: 509.0278015137, weight_update_time: 1.4941035509, other_time: 20.7811584473
epoch time: 65.8876953125s, input_fired_time: 1.4901431799, output_fired_time: 0.0000000000, propagate_forward_time: 60.8378601074, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5596923828
validation[          , genome  6267] predictions:    5873/  10000 (58.73%), best:    5951/10000 (59.51%), error:     12384.59570, best error:     12232.18945 on epoch:    41, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 862.3340454102s, input_fired_time: 12.1839399338, output_fired_time: 9.2235507965, propagate_forward_time: 306.8973083496, propagate_backward_time: 512.3051147461, weight_update_time: 1.5240695477, other_time: 21.7240600586
epoch time: 67.3398361206s, input_fired_time: 1.6467670202, output_fired_time: 0.0000000000, propagate_forward_time: 61.7242126465, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9688568115
validation[          , genome  6267] predictions:    5860/  10000 (58.60%), best:    5951/10000 (59.51%), error:     12451.50293, best error:     12232.18945 on epoch:    41, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 861.6436157227s, input_fired_time: 12.7653398514, output_fired_time: 9.6914720535, propagate_forward_time: 305.8722229004, propagate_backward_time: 511.1364440918, weight_update_time: 1.5484774113, other_time: 22.1781311035
epoch time: 66.8868560791s, input_fired_time: 1.7130599022, output_fired_time: 0.0000000000, propagate_forward_time: 61.0628395081, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1109580994
validation[          , genome  6267] predictions:    5947/  10000 (59.47%), best:    5951/10000 (59.51%), error:     12344.01660, best error:     12232.18945 on epoch:    41, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 861.9878540039s, input_fired_time: 12.7238416672, output_fired_time: 9.6818733215, propagate_forward_time: 305.8232116699, propagate_backward_time: 511.6304016113, weight_update_time: 1.5303568840, other_time: 22.1285095215
epoch time: 66.8012847900s, input_fired_time: 1.6676863432, output_fired_time: 0.0000000000, propagate_forward_time: 61.1145591736, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0190391541
validation[          , genome  6267] predictions:    5729/  10000 (57.29%), best:    5951/10000 (59.51%), error:     13263.31934, best error:     12232.18945 on epoch:    41, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 864.6473388672s, input_fired_time: 12.6837625504, output_fired_time: 9.6686334610, propagate_forward_time: 307.0038452148, propagate_backward_time: 513.3319702148, weight_update_time: 1.5652804375, other_time: 21.9591064453
epoch time: 68.4360733032s, input_fired_time: 1.6515967846, output_fired_time: 0.0000000000, propagate_forward_time: 62.9359245300, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8485527039
validation[          , genome  6267] predictions:    5971/  10000 (59.71%), best:    5951/10000 (59.51%), error:     12299.08594, best error:     12232.18945 on epoch:    41, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 896.0444335938s, input_fired_time: 12.9401206970, output_fired_time: 9.8359355927, propagate_forward_time: 317.8418884277, propagate_backward_time: 533.2410888672, weight_update_time: 1.5663052797, other_time: 22.1854248047
epoch time: 69.7174606323s, input_fired_time: 1.6303355694, output_fired_time: 0.0000000000, propagate_forward_time: 64.2302703857, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8568572998
validation[          , genome  6267] predictions:    5976/  10000 (59.76%), best:    5976/10000 (59.76%), error:     12201.74512, best error:     12201.74512 on epoch:    49, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 912.8511962891s, input_fired_time: 12.7671022415, output_fired_time: 9.6062936783, propagate_forward_time: 322.6479492188, propagate_backward_time: 546.1392211914, weight_update_time: 1.5502622128, other_time: 21.6906127930
epoch time: 69.1156616211s, input_fired_time: 1.5906516314, output_fired_time: 0.0000000000, propagate_forward_time: 63.7091751099, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8158340454
validation[          , genome  6267] predictions:    6000/  10000 (60.00%), best:    6000/10000 (60.00%), error:     12084.71094, best error:     12084.71094 on epoch:    50, 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: 351.3789978027s, input_fired_time: 8.4834232330, output_fired_time: 0.0000000000, propagate_forward_time: 323.2507019043, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 19.6448669434
best training[          , genome  6267] predictions:   36650/  50000 (73.30%), best:    6000/10000 (60.00%), error:     38669.00391, best error:     12084.71094 on epoch:    50, 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: 69.2632598877s, input_fired_time: 1.5896425247, output_fired_time: 0.0000000000, propagate_forward_time: 63.9669761658, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7066383362
   testing[          , genome  6267] predictions:    6000/  10000 (60.00%), best:    6000/10000 (60.00%), error:     12084.71094, best error:     12084.71094 on epoch:    50, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
06:55:24 (5952): called boinc_finish(0)

</stderr_txt>
]]>