Nameexact_genome_1542605141_176_6292_0
Workunit4098282
Created19 Nov 2018, 5:59:16 UTC
Sent19 Nov 2018, 6:09:45 UTC
Report deadline10 Jan 2019, 4:00:19 UTC
Received21 Nov 2018, 2:12:41 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID71624
Run time14 hours 15 min 4 sec
CPU time13 hours 59 min 58 sec
Validate stateValid
Credit12,977.53
Device peak FLOPS3.44 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34

Stderr output

<core_client_version>7.0.80</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_176_6292.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_176_6292_0_r309533835_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542605141_176_6292.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: 6292
read normal distribution: '1 0 0'
generator_str: '1322395676'
read generator: 1322395676
read generated_by_map:
1 enable_edge 1
reading 97 nodes.
reading 385 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: 1195863729
post shuffle 1: 879314127
epoch time: 2292.50854492188s, input_fired_time: 14.8711433410645, output_fired_time: 10.3575296401978, propagate_forward_time: 664.357971191406, propagate_backward_time: 1583.43188476563, weight_update_time: 0.831732749938965, other_time: 19.490234375
epoch time: 135.478744506836s, input_fired_time: 0.82619720697403, output_fired_time: 0, propagate_forward_time: 130.097717285156, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.55482482910156
validation[          , genome  6292] predictions:    4784/  10000 (47.84%), best:    4784/10000 (47.84%), error:     20419.30078, best error:     20419.30078 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 2289.6906738281s, input_fired_time: 18.8570327759, output_fired_time: 13.2413158417, propagate_forward_time: 633.2852172852, propagate_backward_time: 1596.4639892578, weight_update_time: 2.8462822437, other_time: 27.8433837891
epoch time: 136.7017822266s, input_fired_time: 1.8047118187, output_fired_time: 0.0000000000, propagate_forward_time: 133.3728790283, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5241851807
validation[          , genome  6292] predictions:    5175/  10000 (51.75%), best:    5175/10000 (51.75%), error:     15534.29004, best error:     15534.29004 on epoch:     1, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 2286.1809082031s, input_fired_time: 18.7968616486, output_fired_time: 14.2240619659, propagate_forward_time: 665.5894775391, propagate_backward_time: 1567.8308105469, weight_update_time: 2.8405702114, other_time: 19.7396240234
epoch time: 136.7800750732s, input_fired_time: 1.7903733253, output_fired_time: 0.0000000000, propagate_forward_time: 133.4844665527, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5052337646
validation[          , genome  6292] predictions:    4747/  10000 (47.47%), best:    5175/10000 (51.75%), error:     17744.21094, best error:     15534.29004 on epoch:     1, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 2288.2663574219s, input_fired_time: 12.7589054108, output_fired_time: 16.2903766632, propagate_forward_time: 645.6030883789, propagate_backward_time: 1589.8375244141, weight_update_time: 4.8527317047, other_time: 23.7767333984
epoch time: 136.9370269775s, input_fired_time: 1.7046688795, output_fired_time: 0.0000000000, propagate_forward_time: 129.6984558105, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5339050293
validation[          , genome  6292] predictions:    4910/  10000 (49.10%), best:    5175/10000 (51.75%), error:     17051.60938, best error:     15534.29004 on epoch:     1, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 2297.6005859375s, input_fired_time: 22.8103160858, output_fired_time: 8.3324270248, propagate_forward_time: 685.3601684570, propagate_backward_time: 1563.3980712891, weight_update_time: 0.8451282382, other_time: 17.6995849609
epoch time: 138.4258270264s, input_fired_time: 1.7847666740, output_fired_time: 0.0000000000, propagate_forward_time: 135.1467132568, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4943542480
validation[          , genome  6292] predictions:    4831/  10000 (48.31%), best:    5175/10000 (51.75%), error:     17164.23633, best error:     15534.29004 on epoch:     1, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 2297.2822265625s, input_fired_time: 16.7515125275, output_fired_time: 10.3749885559, propagate_forward_time: 657.1655273438, propagate_backward_time: 1597.1538085938, weight_update_time: 1.8640753031, other_time: 15.8364257813
epoch time: 135.9647674561s, input_fired_time: 2.8003580570, output_fired_time: 0.0000000000, propagate_forward_time: 131.6199493408, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5444641113
validation[          , genome  6292] predictions:    4932/  10000 (49.32%), best:    5175/10000 (51.75%), error:     16382.75781, best error:     15534.29004 on epoch:     1, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 2299.0441894531s, input_fired_time: 21.7171058655, output_fired_time: 11.4320058823, propagate_forward_time: 653.7381591797, propagate_backward_time: 1595.4262695313, weight_update_time: 0.8381696939, other_time: 16.7308349609
epoch time: 136.7978973389s, input_fired_time: 2.8002734184, output_fired_time: 0.0000000000, propagate_forward_time: 126.4640121460, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.5336074829
validation[          , genome  6292] predictions:    5202/  10000 (52.02%), best:    5202/10000 (52.02%), error:     15402.97949, best error:     15402.97949 on epoch:     6, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 2303.1340332031s, input_fired_time: 19.6962585449, output_fired_time: 13.3945646286, propagate_forward_time: 679.2695312500, propagate_backward_time: 1575.8508300781, weight_update_time: 1.8698580265, other_time: 14.9228515625
epoch time: 138.1629791260s, input_fired_time: 0.7787245512, output_fired_time: 0.0000000000, propagate_forward_time: 135.8341369629, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5501251221
validation[          , genome  6292] predictions:    5188/  10000 (51.88%), best:    5188/10000 (51.88%), error:     14947.24707, best error:     14947.24707 on epoch:     7, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 2292.4912109375s, input_fired_time: 17.7729606628, output_fired_time: 16.4119548798, propagate_forward_time: 682.1099853516, propagate_backward_time: 1552.4947509766, weight_update_time: 0.8315375447, other_time: 23.7016601563
epoch time: 135.7995910645s, input_fired_time: 4.8210735321, output_fired_time: 0.0000000000, propagate_forward_time: 128.4088592529, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5696563721
validation[          , genome  6292] predictions:    4784/  10000 (47.84%), best:    5188/10000 (51.88%), error:     17398.70898, best error:     14947.24707 on epoch:     7, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 2291.4873046875s, input_fired_time: 23.7130470276, output_fired_time: 17.3691272736, propagate_forward_time: 639.4527587891, propagate_backward_time: 1579.2550048828, weight_update_time: 5.8699641228, other_time: 31.6972656250
epoch time: 139.4367065430s, input_fired_time: 0.8073043227, output_fired_time: 0.0000000000, propagate_forward_time: 136.1013793945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5280303955
validation[          , genome  6292] predictions:    5425/  10000 (54.25%), best:    5425/10000 (54.25%), error:     14037.37207, best error:     14037.37207 on epoch:     9, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 2297.9326171875s, input_fired_time: 14.7523517609, output_fired_time: 10.3415040970, propagate_forward_time: 662.6083984375, propagate_backward_time: 1584.3955078125, weight_update_time: 2.8460280895, other_time: 25.8347167969
epoch time: 137.9143066406s, input_fired_time: 0.7892493010, output_fired_time: 0.0000000000, propagate_forward_time: 131.6036376953, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5214233398
validation[          , genome  6292] predictions:    5051/  10000 (50.51%), best:    5425/10000 (54.25%), error:     15690.10059, best error:     14037.37207 on epoch:     9, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 2291.6733398438s, input_fired_time: 23.6471920013, output_fired_time: 11.3351964951, propagate_forward_time: 642.3345947266, propagate_backward_time: 1593.7402343750, weight_update_time: 0.8402741551, other_time: 20.6160888672
epoch time: 135.8099060059s, input_fired_time: 0.8049595356, output_fired_time: 0.0000000000, propagate_forward_time: 130.4913940430, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5135498047
validation[          , genome  6292] predictions:    5446/  10000 (54.46%), best:    5446/10000 (54.46%), error:     13611.84570, best error:     13611.84570 on epoch:    11, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 2298.1911621094s, input_fired_time: 18.7210063934, output_fired_time: 10.3638734818, propagate_forward_time: 664.4597167969, propagate_backward_time: 1588.8924560547, weight_update_time: 0.8442779779, other_time: 15.7542724609
epoch time: 136.8817596436s, input_fired_time: 2.8023540974, output_fired_time: 0.0000000000, propagate_forward_time: 130.5593414307, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5200653076
validation[          , genome  6292] predictions:    5177/  10000 (51.77%), best:    5446/10000 (54.46%), error:     15784.20508, best error:     13611.84570 on epoch:    11, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 2299.3173828125s, input_fired_time: 18.8254833221, output_fired_time: 10.3467082977, propagate_forward_time: 661.2355957031, propagate_backward_time: 1585.1507568359, weight_update_time: 0.8340776563, other_time: 23.7589111328
epoch time: 137.1600036621s, input_fired_time: 0.8078150153, output_fired_time: 0.0000000000, propagate_forward_time: 133.8439941406, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5081939697
validation[          , genome  6292] predictions:    5382/  10000 (53.82%), best:    5446/10000 (54.46%), error:     14006.38281, best error:     13611.84570 on epoch:    11, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 2300.2180175781s, input_fired_time: 25.8734169006, output_fired_time: 14.3587360382, propagate_forward_time: 644.7358398438, propagate_backward_time: 1592.3880615234, weight_update_time: 0.8348320723, other_time: 22.8619384766
epoch time: 138.3929138184s, input_fired_time: 2.8190350533, output_fired_time: 0.0000000000, propagate_forward_time: 131.0055541992, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5683288574
validation[          , genome  6292] predictions:    5393/  10000 (53.93%), best:    5446/10000 (54.46%), error:     14282.58594, best error:     13611.84570 on epoch:    11, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 2321.6271972656s, input_fired_time: 16.7450561523, output_fired_time: 16.3153629303, propagate_forward_time: 659.5972290039, propagate_backward_time: 1606.8876953125, weight_update_time: 0.8533999324, other_time: 22.0817871094
epoch time: 138.3446960449s, input_fired_time: 0.8146557808, output_fired_time: 0.0000000000, propagate_forward_time: 130.9498596191, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.5801849365
validation[          , genome  6292] predictions:    5039/  10000 (50.39%), best:    5446/10000 (54.46%), error:     16590.61523, best error:     13611.84570 on epoch:    11, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 2291.3046875000s, input_fired_time: 23.8376331329, output_fired_time: 9.3080720901, propagate_forward_time: 651.9876098633, propagate_backward_time: 1586.3758544922, weight_update_time: 2.8499188423, other_time: 19.7955322266
epoch time: 137.1918487549s, input_fired_time: 0.8112646937, output_fired_time: 0.0000000000, propagate_forward_time: 134.8755187988, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5050659180
validation[          , genome  6292] predictions:    5553/  10000 (55.53%), best:    5446/10000 (54.46%), error:     13620.49219, best error:     13611.84570 on epoch:    11, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 2293.4985351563s, input_fired_time: 22.7396240234, output_fired_time: 9.3403425217, propagate_forward_time: 650.8565673828, propagate_backward_time: 1583.8333740234, weight_update_time: 0.8375162482, other_time: 26.7285156250
epoch time: 136.9149932861s, input_fired_time: 1.7902092934, output_fired_time: 0.0000000000, propagate_forward_time: 130.6875000000, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.4372863770
validation[          , genome  6292] predictions:    5461/  10000 (54.61%), best:    5446/10000 (54.46%), error:     14030.36426, best error:     13611.84570 on epoch:    11, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 2302.9587402344s, input_fired_time: 12.8431282043, output_fired_time: 10.3978652954, propagate_forward_time: 674.8818969727, propagate_backward_time: 1585.0018310547, weight_update_time: 2.8570394516, other_time: 19.8341064453
epoch time: 147.6097412109s, input_fired_time: 1.8512753248, output_fired_time: 0.0000000000, propagate_forward_time: 142.1143341064, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6441345215
validation[          , genome  6292] predictions:    5449/  10000 (54.49%), best:    5446/10000 (54.46%), error:     14216.87598, best error:     13611.84570 on epoch:    11, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 2303.0859375000s, input_fired_time: 12.8476848602, output_fired_time: 11.4053697586, propagate_forward_time: 661.5492553711, propagate_backward_time: 1603.4949951172, weight_update_time: 0.8597996831, other_time: 13.7886962891
epoch time: 139.8094940186s, input_fired_time: 0.8168551922, output_fired_time: 0.0000000000, propagate_forward_time: 135.4796905518, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5129547119
validation[          , genome  6292] predictions:    5382/  10000 (53.82%), best:    5446/10000 (54.46%), error:     13852.46973, best error:     13611.84570 on epoch:    11, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 2295.6813964844s, input_fired_time: 23.8754081726, output_fired_time: 14.3941898346, propagate_forward_time: 654.7543945313, propagate_backward_time: 1579.9460449219, weight_update_time: 0.8392062783, other_time: 22.7111816406
epoch time: 137.0327758789s, input_fired_time: 0.7950631380, output_fired_time: 0.0000000000, propagate_forward_time: 131.6826477051, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5550689697
validation[          , genome  6292] predictions:    5466/  10000 (54.66%), best:    5446/10000 (54.46%), error:     14103.20996, best error:     13611.84570 on epoch:    11, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 2298.0297851563s, input_fired_time: 21.8701114655, output_fired_time: 10.3456649780, propagate_forward_time: 677.9354248047, propagate_backward_time: 1565.2039794922, weight_update_time: 3.8492264748, other_time: 22.6745605469
epoch time: 136.7409820557s, input_fired_time: 4.7274904251, output_fired_time: 0.0000000000, propagate_forward_time: 122.4083404541, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.6051483154
validation[          , genome  6292] predictions:    5712/  10000 (57.12%), best:    5712/10000 (57.12%), error:     12943.52734, best error:     12943.52734 on epoch:    21, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 2292.7568359375s, input_fired_time: 21.7682456970, output_fired_time: 12.2919702530, propagate_forward_time: 649.8728027344, propagate_backward_time: 1588.0644531250, weight_update_time: 0.8410106301, other_time: 20.7592773438
epoch time: 138.6888275146s, input_fired_time: 3.8362739086, output_fired_time: 0.0000000000, propagate_forward_time: 130.2897033691, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5628509521
validation[          , genome  6292] predictions:    5692/  10000 (56.92%), best:    5712/10000 (57.12%), error:     13069.18262, best error:     12943.52734 on epoch:    21, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 2305.9555664063s, input_fired_time: 15.8807468414, output_fired_time: 9.3480691910, propagate_forward_time: 663.1118164063, propagate_backward_time: 1601.8175048828, weight_update_time: 2.8544168472, other_time: 15.7972412109
epoch time: 137.4987792969s, input_fired_time: 1.8136038780, output_fired_time: 0.0000000000, propagate_forward_time: 133.1794128418, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5057678223
validation[          , genome  6292] predictions:    5433/  10000 (54.33%), best:    5712/10000 (57.12%), error:     13779.54199, best error:     12943.52734 on epoch:    21, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 2302.1677246094s, input_fired_time: 21.9157352448, output_fired_time: 20.4329757690, propagate_forward_time: 641.1562500000, propagate_backward_time: 1598.9243164063, weight_update_time: 0.8304993510, other_time: 19.7385253906
epoch time: 136.7565460205s, input_fired_time: 2.8103137016, output_fired_time: 0.0000000000, propagate_forward_time: 131.4372863770, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5089416504
validation[          , genome  6292] predictions:    5646/  10000 (56.46%), best:    5712/10000 (57.12%), error:     13199.31934, best error:     12943.52734 on epoch:    21, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 2289.1169433594s, input_fired_time: 28.7133216858, output_fired_time: 17.3830184937, propagate_forward_time: 649.7966918945, propagate_backward_time: 1574.5294189453, weight_update_time: 2.8526535034, other_time: 18.6944580078
epoch time: 135.9282836914s, input_fired_time: 0.7974532843, output_fired_time: 0.0000000000, propagate_forward_time: 131.6144714355, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5163574219
validation[          , genome  6292] predictions:    5709/  10000 (57.09%), best:    5712/10000 (57.12%), error:     13003.60254, best error:     12943.52734 on epoch:    21, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 2288.8566894531s, input_fired_time: 20.8942356110, output_fired_time: 13.2475662231, propagate_forward_time: 635.7644653320, propagate_backward_time: 1596.3760986328, weight_update_time: 0.8446254730, other_time: 22.5743408203
epoch time: 134.9139099121s, input_fired_time: 2.8261518478, output_fired_time: 0.0000000000, propagate_forward_time: 130.5757141113, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5120391846
validation[          , genome  6292] predictions:    5683/  10000 (56.83%), best:    5683/10000 (56.83%), error:     12941.55957, best error:     12941.55957 on epoch:    26, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 2299.9538574219s, input_fired_time: 25.9644279480, output_fired_time: 15.3859567642, propagate_forward_time: 662.1801757813, propagate_backward_time: 1574.5756835938, weight_update_time: 3.8696525097, other_time: 21.8476562500
epoch time: 138.3269958496s, input_fired_time: 1.8200464249, output_fired_time: 0.0000000000, propagate_forward_time: 135.0004882813, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5064544678
validation[          , genome  6292] predictions:    5618/  10000 (56.18%), best:    5683/10000 (56.83%), error:     13531.34668, best error:     12941.55957 on epoch:    26, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 2292.7758789063s, input_fired_time: 16.8973102570, output_fired_time: 11.3613739014, propagate_forward_time: 665.1425781250, propagate_backward_time: 1576.5509033203, weight_update_time: 0.8407171965, other_time: 22.8238525391
epoch time: 136.9193725586s, input_fired_time: 0.8195983171, output_fired_time: 0.0000000000, propagate_forward_time: 132.6880645752, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4117126465
validation[          , genome  6292] predictions:    5706/  10000 (57.06%), best:    5683/10000 (56.83%), error:     13009.43945, best error:     12941.55957 on epoch:    26, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 2292.7565917969s, input_fired_time: 16.9236240387, output_fired_time: 11.3611221313, propagate_forward_time: 654.8184204102, propagate_backward_time: 1595.9151611328, weight_update_time: 0.8410083055, other_time: 13.7384033203
epoch time: 137.9976654053s, input_fired_time: 0.8225792646, output_fired_time: 0.0000000000, propagate_forward_time: 130.6117248535, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.5633544922
validation[          , genome  6292] predictions:    5769/  10000 (57.69%), best:    5683/10000 (56.83%), error:     13037.98828, best error:     12941.55957 on epoch:    26, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 2297.3952636719s, input_fired_time: 14.9316368103, output_fired_time: 11.2813911438, propagate_forward_time: 667.1463623047, propagate_backward_time: 1584.2432861328, weight_update_time: 2.8509976864, other_time: 19.7924804688
epoch time: 135.9022521973s, input_fired_time: 0.8310201168, output_fired_time: 0.0000000000, propagate_forward_time: 133.5621032715, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5091247559
validation[          , genome  6292] predictions:    5668/  10000 (56.68%), best:    5683/10000 (56.83%), error:     13056.00195, best error:     12941.55957 on epoch:    26, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 2301.5378417969s, input_fired_time: 20.9649143219, output_fired_time: 13.3777770996, propagate_forward_time: 665.6788330078, propagate_backward_time: 1575.7663574219, weight_update_time: 0.8549860120, other_time: 25.7501220703
epoch time: 139.6628723145s, input_fired_time: 0.8242116570, output_fired_time: 0.0000000000, propagate_forward_time: 133.2499084473, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5887451172
validation[          , genome  6292] predictions:    5588/  10000 (55.88%), best:    5683/10000 (56.83%), error:     13503.88574, best error:     12941.55957 on epoch:    26, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 2295.5344238281s, input_fired_time: 16.9388790131, output_fired_time: 9.3901004791, propagate_forward_time: 648.9716796875, propagate_backward_time: 1597.4877929688, weight_update_time: 3.8453488350, other_time: 22.7458496094
epoch time: 134.8865203857s, input_fired_time: 0.8141973615, output_fired_time: 0.0000000000, propagate_forward_time: 129.5561370850, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5161895752
validation[          , genome  6292] predictions:    5672/  10000 (56.72%), best:    5683/10000 (56.83%), error:     13391.60156, best error:     12941.55957 on epoch:    26, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 2283.1271972656s, input_fired_time: 13.7645626068, output_fired_time: 15.2224235535, propagate_forward_time: 663.6169433594, propagate_backward_time: 1569.7015380859, weight_update_time: 0.8406541348, other_time: 20.8216552734
epoch time: 137.9593505859s, input_fired_time: 0.7985079885, output_fired_time: 0.0000000000, propagate_forward_time: 130.5945587158, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.5662841797
validation[          , genome  6292] predictions:    5651/  10000 (56.51%), best:    5683/10000 (56.83%), error:     13534.14941, best error:     12941.55957 on epoch:    26, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 2662.3796386719s, input_fired_time: 20.3551330566, output_fired_time: 10.8810815811, propagate_forward_time: 806.8957519531, propagate_backward_time: 1799.2192382813, weight_update_time: 0.9290723205, other_time: 25.0283203125
epoch time: 152.0919952393s, input_fired_time: 1.9045538902, output_fired_time: 0.0000000000, propagate_forward_time: 145.2941894531, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.8932495117
validation[          , genome  6292] predictions:    5841/  10000 (58.41%), best:    5841/10000 (58.41%), error:     12591.64746, best error:     12591.64746 on epoch:    34, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 2473.4895019531s, input_fired_time: 17.6181430817, output_fired_time: 12.8322858810, propagate_forward_time: 753.4279174805, propagate_backward_time: 1663.4566650391, weight_update_time: 2.9347779751, other_time: 26.1544189453
epoch time: 147.0332946777s, input_fired_time: 0.9134613276, output_fired_time: 0.0000000000, propagate_forward_time: 142.3907623291, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7290649414
validation[          , genome  6292] predictions:    5713/  10000 (57.13%), best:    5841/10000 (58.41%), error:     13258.92383, best error:     12591.64746 on epoch:    34, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 2461.1623535156s, input_fired_time: 15.5052728653, output_fired_time: 11.7548580170, propagate_forward_time: 729.5114746094, propagate_backward_time: 1672.8957519531, weight_update_time: 2.9125249386, other_time: 31.4948730469
epoch time: 149.6707305908s, input_fired_time: 1.9081362486, output_fired_time: 0.0000000000, propagate_forward_time: 143.0225677490, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.7400207520
validation[          , genome  6292] predictions:    5745/  10000 (57.45%), best:    5841/10000 (58.41%), error:     12786.52832, best error:     12591.64746 on epoch:    34, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 2466.2629394531s, input_fired_time: 18.4201927185, output_fired_time: 10.6851634979, propagate_forward_time: 669.0571899414, propagate_backward_time: 1741.4151611328, weight_update_time: 6.9637808800, other_time: 26.6854248047
epoch time: 146.9530487061s, input_fired_time: 1.8936209679, output_fired_time: 0.0000000000, propagate_forward_time: 141.4711608887, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5882720947
validation[          , genome  6292] predictions:    6002/  10000 (60.02%), best:    6002/10000 (60.02%), error:     12237.70898, best error:     12237.70898 on epoch:    37, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 2464.7016601563s, input_fired_time: 22.5963001251, output_fired_time: 19.6946296692, propagate_forward_time: 703.3114013672, propagate_backward_time: 1697.4265136719, weight_update_time: 1.8189790249, other_time: 21.6729736328
epoch time: 148.7115325928s, input_fired_time: 3.7570779324, output_fired_time: 0.0000000000, propagate_forward_time: 135.1860656738, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.7683868408
validation[          , genome  6292] predictions:    5880/  10000 (58.80%), best:    6002/10000 (60.02%), error:     12480.79004, best error:     12237.70898 on epoch:    37, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 2476.0812988281s, input_fired_time: 21.6565036774, output_fired_time: 22.5823898315, propagate_forward_time: 673.7185668945, propagate_backward_time: 1737.4852294922, weight_update_time: 1.8952829838, other_time: 20.6387939453
epoch time: 148.4431457520s, input_fired_time: 1.8950260878, output_fired_time: 0.0000000000, propagate_forward_time: 144.8908843994, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6572418213
validation[          , genome  6292] predictions:    5954/  10000 (59.54%), best:    6002/10000 (60.02%), error:     12398.11719, best error:     12237.70898 on epoch:    37, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 2471.7983398438s, input_fired_time: 16.5941314697, output_fired_time: 17.7903690338, propagate_forward_time: 732.5077514648, propagate_backward_time: 1677.1595458984, weight_update_time: 0.8926281333, other_time: 27.7464599609
epoch time: 148.4811706543s, input_fired_time: 0.8983131647, output_fired_time: 0.0000000000, propagate_forward_time: 143.8799285889, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7029266357
validation[          , genome  6292] predictions:    5696/  10000 (56.96%), best:    6002/10000 (60.02%), error:     13311.15039, best error:     12237.70898 on epoch:    37, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 2463.9755859375s, input_fired_time: 21.4586906433, output_fired_time: 11.7788085938, propagate_forward_time: 694.5593261719, propagate_backward_time: 1698.4699707031, weight_update_time: 7.8458933830, other_time: 37.7087402344
epoch time: 150.2708435059s, input_fired_time: 1.8889579773, output_fired_time: 0.0000000000, propagate_forward_time: 146.7188568115, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6630249023
validation[          , genome  6292] predictions:    5830/  10000 (58.30%), best:    6002/10000 (60.02%), error:     12869.92871, best error:     12237.70898 on epoch:    37, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 2463.4106445313s, input_fired_time: 23.4891929626, output_fired_time: 17.8921146393, propagate_forward_time: 684.3886718750, propagate_backward_time: 1718.9641113281, weight_update_time: 0.9064823985, other_time: 18.6765136719
epoch time: 147.1982116699s, input_fired_time: 2.7958927155, output_fired_time: 0.0000000000, propagate_forward_time: 136.6481475830, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.7541656494
validation[          , genome  6292] predictions:    5966/  10000 (59.66%), best:    6002/10000 (60.02%), error:     12295.16309, best error:     12237.70898 on epoch:    37, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 2472.9914550781s, input_fired_time: 19.7160549164, output_fired_time: 13.7002496719, propagate_forward_time: 742.4132080078, propagate_backward_time: 1673.6756591797, weight_update_time: 1.9066880941, other_time: 23.4863281250
epoch time: 149.5155487061s, input_fired_time: 4.9549369812, output_fired_time: 0.0000000000, propagate_forward_time: 139.8202972412, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.7403106689
validation[          , genome  6292] predictions:    5890/  10000 (58.90%), best:    6002/10000 (60.02%), error:     12507.77930, best error:     12237.70898 on epoch:    37, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 2468.2404785156s, input_fired_time: 17.4813175201, output_fired_time: 11.7567768097, propagate_forward_time: 726.8555908203, propagate_backward_time: 1696.5572509766, weight_update_time: 2.8109610081, other_time: 15.5895996094
epoch time: 148.5530242920s, input_fired_time: 1.9364621639, output_fired_time: 0.0000000000, propagate_forward_time: 140.9020538330, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.7145080566
validation[          , genome  6292] predictions:    5873/  10000 (58.73%), best:    6002/10000 (60.02%), error:     12612.93457, best error:     12237.70898 on epoch:    37, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 2468.7290039063s, input_fired_time: 19.5015830994, output_fired_time: 14.7544393539, propagate_forward_time: 755.3721923828, propagate_backward_time: 1657.5213623047, weight_update_time: 0.8813897371, other_time: 21.5795898438
epoch time: 152.5688476563s, input_fired_time: 3.9376730919, output_fired_time: 0.0000000000, propagate_forward_time: 141.9913024902, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.6398773193
validation[          , genome  6292] predictions:    5941/  10000 (59.41%), best:    6002/10000 (60.02%), error:     12597.39160, best error:     12237.70898 on epoch:    37, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 2463.3747558594s, input_fired_time: 20.6899204254, output_fired_time: 8.6697711945, propagate_forward_time: 676.7159423828, propagate_backward_time: 1735.7133789063, weight_update_time: 0.8843277693, other_time: 21.5858154297
epoch time: 147.1042633057s, input_fired_time: 1.9247245789, output_fired_time: 0.0000000000, propagate_forward_time: 142.5089721680, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6705627441
validation[          , genome  6292] predictions:    5731/  10000 (57.31%), best:    6002/10000 (60.02%), error:     13174.27832, best error:     12237.70898 on epoch:    37, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 2471.2336425781s, input_fired_time: 24.6091442108, output_fired_time: 11.7293100357, propagate_forward_time: 778.3104248047, propagate_backward_time: 1626.9124755859, weight_update_time: 2.9059400558, other_time: 29.6723632813
epoch time: 148.6681671143s, input_fired_time: 0.9278073907, output_fired_time: 0.0000000000, propagate_forward_time: 144.0455932617, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6947631836
validation[          , genome  6292] predictions:    6018/  10000 (60.18%), best:    6018/10000 (60.18%), error:     11988.45996, best error:     11988.45996 on epoch:    47, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 2464.5439453125s, input_fired_time: 19.5703334808, output_fired_time: 14.6896400452, propagate_forward_time: 627.8312988281, propagate_backward_time: 1782.7258300781, weight_update_time: 0.8974527121, other_time: 19.7268066406
epoch time: 148.5611572266s, input_fired_time: 2.9444479942, output_fired_time: 0.0000000000, propagate_forward_time: 139.8348083496, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.7819061279
validation[          , genome  6292] predictions:    5958/  10000 (59.58%), best:    6018/10000 (60.18%), error:     11995.56250, best error:     11988.45996 on epoch:    47, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 2459.7377929688s, input_fired_time: 20.7372341156, output_fired_time: 11.6450338364, propagate_forward_time: 756.1275024414, propagate_backward_time: 1650.5334472656, weight_update_time: 0.9037619233, other_time: 20.6945800781
epoch time: 147.8977355957s, input_fired_time: 0.9062249660, output_fired_time: 0.0000000000, propagate_forward_time: 144.2924804688, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6990356445
validation[          , genome  6292] predictions:    5963/  10000 (59.63%), best:    6018/10000 (60.18%), error:     12297.75879, best error:     11988.45996 on epoch:    47, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 2467.8325195313s, input_fired_time: 20.6963939667, output_fired_time: 13.7004194260, propagate_forward_time: 677.5151367188, propagate_backward_time: 1733.2048339844, weight_update_time: 2.9706904888, other_time: 22.7158203125
epoch time: 147.6192169189s, input_fired_time: 0.9324799776, output_fired_time: 0.0000000000, propagate_forward_time: 142.9958953857, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6908416748
validation[          , genome  6292] predictions:    5989/  10000 (59.89%), best:    6018/10000 (60.18%), error:     12112.29785, best error:     11988.45996 on epoch:    47, 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: 738.7770385742s, input_fired_time: 11.6155643463, output_fired_time: 0.0000000000, propagate_forward_time: 705.6384277344, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 21.5230712891
best training[          , genome  6292] predictions:   36242/  50000 (72.48%), best:    6018/10000 (60.18%), error:     39335.73047, best error:     11988.45996 on epoch:    47, 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: 151.6562347412s, input_fired_time: 0.9523951411, output_fired_time: 0.0000000000, propagate_forward_time: 140.4389648438, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.2648773193
   testing[          , genome  6292] predictions:    6018/  10000 (60.18%), best:    6018/10000 (60.18%), error:     11988.45996, best error:     11988.45996 on epoch:    47, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
23:06:38 (7024): called boinc_finish(0)

</stderr_txt>
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