Nameexact_genome_1542303603_178_6008_2
Workunit4091501
Created14 Jan 2019, 22:26:56 UTC
Sent14 Jan 2019, 22:27:01 UTC
Report deadline15 Mar 2019, 23:28:58 UTC
Received16 Jan 2019, 14:30:11 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID80138
Run time14 hours 53 min 20 sec
CPU time14 hours 44 min 56 sec
Validate stateValid
Credit15,010.76
Device peak FLOPS4.38 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size555.16 MB
Peak swap size575.11 MB
Peak disk usage13.79 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_1542303603_178_6008.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542303603_178_6008_2_r542019829_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542303603_178_6008.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.492727
read mu: 0.492727
read mu_delta: 0.947695
read initial_learning_rate: 0.000676832
read learning_rate: 0.000676832
read learning_rate_delta: 0.914742
read initial_weight_decay: 0.000589455
read weight_decay: 0.000589455
read weight_decay_delta: 0.924861
read batch_size: 107
read epsilon: 1e-07
read alpha: 0.0757249
read input_dropout_probability: 0.00113281
read hidden_dropout_probability: 0.111784
read velocity_reset: 2185
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: 6008
read normal distribution: '1 0 0'
generator_str: '1136442599'
read generator: 1136442599
read generated_by_map:
1 disable_node 1
reading 94 nodes.
reading 490 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: 471204975
post shuffle 1: 448214554
epoch time: 1008.01818847656s, input_fired_time: 12.1871852874756, output_fired_time: 4.07717990875244, propagate_forward_time: 298.836090087891, propagate_backward_time: 686.269714355469, weight_update_time: 0.233651250600815, other_time: 6.64801025390625
epoch time: 61.6867027282715s, input_fired_time: 0.715584099292755, output_fired_time: 0, propagate_forward_time: 59.8726081848145, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.0985107421875
validation[          , genome  6008] predictions:    6068/  10000 (60.68%), best:    6068/10000 (60.68%), error:     11428.09082, best error:     11428.09082 on epoch:     0, epoch:    0/50, mu: 0.4927267134, learning_rate: 0.0006768323, weight_decay: 0.0005894552

epoch time: 1012.4841918945s, input_fired_time: 12.1807508469, output_fired_time: 4.0973596573, propagate_forward_time: 299.7363891602, propagate_backward_time: 689.6220703125, weight_update_time: 0.2372254729, other_time: 6.8476562500
epoch time: 61.9836769104s, input_fired_time: 0.7176305056, output_fired_time: 0.0000000000, propagate_forward_time: 60.1516723633, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1143722534
validation[          , genome  6008] predictions:    6031/  10000 (60.31%), best:    6068/10000 (60.68%), error:     11518.40918, best error:     11428.09082 on epoch:     0, epoch:    1/50, mu: 0.5187364221, learning_rate: 0.0006191267, weight_decay: 0.0005451644

epoch time: 1018.2860107422s, input_fired_time: 12.3319721222, output_fired_time: 4.1358990669, propagate_forward_time: 303.1075439453, propagate_backward_time: 691.8775634766, weight_update_time: 0.2305131108, other_time: 6.8330078125
epoch time: 62.3035202026s, input_fired_time: 0.7089200020, output_fired_time: 0.0000000000, propagate_forward_time: 60.4856109619, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1089897156
validation[          , genome  6008] predictions:    5787/  10000 (57.87%), best:    6068/10000 (60.68%), error:     12369.72363, best error:     11428.09082 on epoch:     0, epoch:    2/50, mu: 0.5433856845, learning_rate: 0.0005663409, weight_decay: 0.0005042015

epoch time: 1023.8828125000s, input_fired_time: 12.2991828918, output_fired_time: 4.1760854721, propagate_forward_time: 303.4054870605, propagate_backward_time: 697.0492553711, weight_update_time: 0.2323257923, other_time: 6.9528198242
epoch time: 62.3831138611s, input_fired_time: 0.7021757364, output_fired_time: 0.0000000000, propagate_forward_time: 60.4390487671, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2418899536
validation[          , genome  6008] predictions:    5767/  10000 (57.67%), best:    6068/10000 (60.68%), error:     12363.25000, best error:     11428.09082 on epoch:     0, epoch:    3/50, mu: 0.5667456985, learning_rate: 0.0005180556, weight_decay: 0.0004663165

epoch time: 1011.0513916016s, input_fired_time: 12.0889120102, output_fired_time: 4.0981597900, propagate_forward_time: 299.5269165039, propagate_backward_time: 688.4813232422, weight_update_time: 0.2320636809, other_time: 6.8560791016
epoch time: 62.2543640137s, input_fired_time: 0.6934308410, output_fired_time: 0.0000000000, propagate_forward_time: 60.4538383484, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1070938110
validation[          , genome  6008] predictions:    5889/  10000 (58.89%), best:    6068/10000 (60.68%), error:     12055.12988, best error:     11428.09082 on epoch:     0, epoch:    4/50, mu: 0.5888838768, learning_rate: 0.0004738870, weight_decay: 0.0004312782

epoch time: 1007.0954589844s, input_fired_time: 12.0441150665, output_fired_time: 4.0921955109, propagate_forward_time: 298.4682312012, propagate_backward_time: 685.7293090820, weight_update_time: 0.2300708294, other_time: 6.7615356445
epoch time: 61.6864242554s, input_fired_time: 0.6941565871, output_fired_time: 0.0000000000, propagate_forward_time: 59.8931655884, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0991020203
validation[          , genome  6008] predictions:    5955/  10000 (59.55%), best:    6068/10000 (60.68%), error:     11744.79883, best error:     11428.09082 on epoch:     0, epoch:    5/50, mu: 0.6098641157, learning_rate: 0.0004334842, weight_decay: 0.0003988725

epoch time: 1016.1718139648s, input_fired_time: 12.2947711945, output_fired_time: 4.1707525253, propagate_forward_time: 301.7789001465, propagate_backward_time: 691.0739135742, weight_update_time: 0.2304967344, other_time: 6.8534545898
epoch time: 62.4243469238s, input_fired_time: 0.6892721057, output_fired_time: 0.0000000000, propagate_forward_time: 60.6185874939, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1164855957
validation[          , genome  6008] predictions:    5286/  10000 (52.86%), best:    6068/10000 (60.68%), error:     13476.54688, best error:     11428.09082 on epoch:     0, epoch:    6/50, mu: 0.6297469735, learning_rate: 0.0003965260, weight_decay: 0.0003689018

epoch time: 1008.0474243164s, input_fired_time: 12.0155754089, output_fired_time: 4.0725932121, propagate_forward_time: 298.5773925781, propagate_backward_time: 686.3403320313, weight_update_time: 0.2302425653, other_time: 7.0415649414
epoch time: 61.5280609131s, input_fired_time: 0.6810311675, output_fired_time: 0.0000000000, propagate_forward_time: 59.7566299438, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0904006958
validation[          , genome  6008] predictions:    5773/  10000 (57.73%), best:    6068/10000 (60.68%), error:     12295.95508, best error:     11428.09082 on epoch:     0, epoch:    7/50, mu: 0.6485898495, learning_rate: 0.0003627189, weight_decay: 0.0003411831

epoch time: 1010.4376220703s, input_fired_time: 12.0540437698, output_fired_time: 4.1109032631, propagate_forward_time: 299.2851562500, propagate_backward_time: 687.9197998047, weight_update_time: 0.2329536080, other_time: 7.0677490234
epoch time: 61.6128578186s, input_fired_time: 0.6794289947, output_fired_time: 0.0000000000, propagate_forward_time: 59.8313713074, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1020584106
validation[          , genome  6008] predictions:    5506/  10000 (55.06%), best:    6068/10000 (60.68%), error:     13041.95215, best error:     11428.09082 on epoch:     0, epoch:    8/50, mu: 0.6664471626, learning_rate: 0.0003317941, weight_decay: 0.0003155470

epoch time: 992.5347290039s, input_fired_time: 11.8263711929, output_fired_time: 4.0266675949, propagate_forward_time: 294.2352600098, propagate_backward_time: 675.8397216797, weight_update_time: 0.2280833721, other_time: 6.6066894531
epoch time: 59.9642219543s, input_fired_time: 0.6638855338, output_fired_time: 0.0000000000, propagate_forward_time: 58.2273712158, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0729637146
validation[          , genome  6008] predictions:    5838/  10000 (58.38%), best:    6068/10000 (60.68%), error:     12087.98145, best error:     11428.09082 on epoch:     0, epoch:    9/50, mu: 0.6833704710, learning_rate: 0.0003035058, weight_decay: 0.0002918373

epoch time: 982.1663818359s, input_fired_time: 11.7049398422, output_fired_time: 3.9742646217, propagate_forward_time: 291.2286987305, propagate_backward_time: 668.7699584961, weight_update_time: 0.2247050852, other_time: 6.4885253906
epoch time: 59.9708328247s, input_fired_time: 0.6679517031, output_fired_time: 0.0000000000, propagate_forward_time: 58.2391281128, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0637512207
validation[          , genome  6008] predictions:    5967/  10000 (59.67%), best:    6068/10000 (60.68%), error:     11583.34082, best error:     11428.09082 on epoch:     0, epoch:   10/50, mu: 0.6994085908, learning_rate: 0.0002776294, weight_decay: 0.0002699091

epoch time: 984.3375854492s, input_fired_time: 11.7188863754, output_fired_time: 3.9862928391, propagate_forward_time: 291.5256347656, propagate_backward_time: 670.3674316406, weight_update_time: 0.2251099348, other_time: 6.7393798828
epoch time: 60.6734352112s, input_fired_time: 0.6746398211, output_fired_time: 0.0000000000, propagate_forward_time: 58.9110183716, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0877761841
validation[          , genome  6008] predictions:    5974/  10000 (59.74%), best:    6068/10000 (60.68%), error:     11809.31250, best error:     11428.09082 on epoch:     0, epoch:   11/50, mu: 0.7146078944, learning_rate: 0.0002539592, weight_decay: 0.0002496285

epoch time: 984.4597778320s, input_fired_time: 11.7206735611, output_fired_time: 3.9889352322, propagate_forward_time: 291.8872375488, propagate_backward_time: 670.3165893555, weight_update_time: 0.2258869112, other_time: 6.5463256836
epoch time: 60.0723037720s, input_fired_time: 0.6695471406, output_fired_time: 0.0000000000, propagate_forward_time: 58.3379364014, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0648193359
validation[          , genome  6008] predictions:    5984/  10000 (59.84%), best:    6068/10000 (60.68%), error:     11573.25195, best error:     11428.09082 on epoch:     0, epoch:   12/50, mu: 0.7290121913, learning_rate: 0.0002323070, weight_decay: 0.0002308718

epoch time: 988.8258666992s, input_fired_time: 11.7868566513, output_fired_time: 4.0116395950, propagate_forward_time: 293.3042602539, propagate_backward_time: 673.1231079102, weight_update_time: 0.2311925888, other_time: 6.5999755859
epoch time: 60.2011299133s, input_fired_time: 0.6710380316, output_fired_time: 0.0000000000, propagate_forward_time: 58.4503974915, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0796928406
validation[          , genome  6008] predictions:    5928/  10000 (59.28%), best:    6068/10000 (60.68%), error:     12008.81738, best error:     11428.09082 on epoch:     0, epoch:   13/50, mu: 0.7426630855, learning_rate: 0.0002125009, weight_decay: 0.0002135244

epoch time: 982.8252563477s, input_fired_time: 11.7179145813, output_fired_time: 3.9739730358, propagate_forward_time: 291.2564392090, propagate_backward_time: 669.3898925781, weight_update_time: 0.2256904840, other_time: 6.4870605469
epoch time: 60.0478324890s, input_fired_time: 0.6659834981, output_fired_time: 0.0000000000, propagate_forward_time: 58.3148193359, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0670280457
validation[          , genome  6008] predictions:    6011/  10000 (60.11%), best:    6068/10000 (60.68%), error:     11680.79297, best error:     11428.09082 on epoch:     0, epoch:   14/50, mu: 0.7555999756, learning_rate: 0.0001943834, weight_decay: 0.0001974805

epoch time: 981.4570922852s, input_fired_time: 11.6995229721, output_fired_time: 3.9673702717, propagate_forward_time: 290.7722167969, propagate_backward_time: 668.3586425781, weight_update_time: 0.2246933281, other_time: 6.6593627930
epoch time: 60.3414001465s, input_fired_time: 0.6706157327, output_fired_time: 0.0000000000, propagate_forward_time: 58.5965652466, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0742187500
validation[          , genome  6008] predictions:    5987/  10000 (59.87%), best:    6068/10000 (60.68%), error:     11643.33691, best error:     11428.09082 on epoch:     0, epoch:   15/50, mu: 0.7678601742, learning_rate: 0.0001778106, weight_decay: 0.0001826421

epoch time: 983.1849975586s, input_fired_time: 11.7164440155, output_fired_time: 3.9842267036, propagate_forward_time: 291.2360229492, propagate_backward_time: 669.5163574219, weight_update_time: 0.2245760411, other_time: 6.7319335938
epoch time: 60.1772003174s, input_fired_time: 0.6702143550, output_fired_time: 0.0000000000, propagate_forward_time: 58.4289245605, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0780601501
validation[          , genome  6008] predictions:    5924/  10000 (59.24%), best:    6068/10000 (60.68%), error:     11666.22070, best error:     11428.09082 on epoch:     0, epoch:   16/50, mu: 0.7794790864, learning_rate: 0.0001626508, weight_decay: 0.0001689186

epoch time: 982.4476928711s, input_fired_time: 11.7200250626, output_fired_time: 3.9779736996, propagate_forward_time: 291.1656494141, propagate_backward_time: 669.0877685547, weight_update_time: 0.2251700163, other_time: 6.4962768555
epoch time: 60.0536766052s, input_fired_time: 0.6666250229, output_fired_time: 0.0000000000, propagate_forward_time: 58.3184890747, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0685615540
validation[          , genome  6008] predictions:    5823/  10000 (58.23%), best:    6068/10000 (60.68%), error:     12287.04102, best error:     11428.09082 on epoch:     0, epoch:   17/50, mu: 0.7904903293, learning_rate: 0.0001487835, weight_decay: 0.0001562263

epoch time: 981.8856201172s, input_fired_time: 11.7136335373, output_fired_time: 3.9771130085, propagate_forward_time: 290.8022460938, propagate_backward_time: 668.3888549805, weight_update_time: 0.2238124609, other_time: 7.0037841797
epoch time: 60.0471115112s, input_fired_time: 0.6691891551, output_fired_time: 0.0000000000, propagate_forward_time: 58.3067321777, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0711898804
validation[          , genome  6008] predictions:    6036/  10000 (60.36%), best:    6068/10000 (60.68%), error:     11516.88281, best error:     11428.09082 on epoch:     0, epoch:   18/50, mu: 0.8009256124, learning_rate: 0.0001360984, weight_decay: 0.0001444877

epoch time: 988.9437255859s, input_fired_time: 11.8915147781, output_fired_time: 4.0136547089, propagate_forward_time: 292.7110290527, propagate_backward_time: 673.7864379883, weight_update_time: 0.2277901471, other_time: 6.5410766602
epoch time: 60.3688354492s, input_fired_time: 0.6768603325, output_fired_time: 0.0000000000, propagate_forward_time: 58.6183090210, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0736656189
validation[          , genome  6008] predictions:    6201/  10000 (62.01%), best:    6201/10000 (62.01%), error:     11043.92871, best error:     11043.92871 on epoch:    19, epoch:   19/50, mu: 0.8108150959, learning_rate: 0.0001244949, weight_decay: 0.0001336311

epoch time: 984.8439941406s, input_fired_time: 11.7841024399, output_fired_time: 4.0042114258, propagate_forward_time: 291.9934997559, propagate_backward_time: 670.5527343750, weight_update_time: 0.2273124009, other_time: 6.5093994141
epoch time: 60.6370048523s, input_fired_time: 0.6853640676, output_fired_time: 0.0000000000, propagate_forward_time: 58.8669662476, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0846748352
validation[          , genome  6008] predictions:    6199/  10000 (61.99%), best:    6201/10000 (62.01%), error:     11062.79102, best error:     11043.92871 on epoch:    19, epoch:   20/50, mu: 0.8201872706, learning_rate: 0.0001138807, weight_decay: 0.0001235902

epoch time: 978.1606445313s, input_fired_time: 11.6995725632, output_fired_time: 3.9680166245, propagate_forward_time: 289.8625183105, propagate_backward_time: 666.1682739258, weight_update_time: 0.2238893062, other_time: 6.4622192383
epoch time: 59.9801673889s, input_fired_time: 0.6743119359, output_fired_time: 0.0000000000, propagate_forward_time: 58.2271728516, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0786819458
validation[          , genome  6008] predictions:    6157/  10000 (61.57%), best:    6201/10000 (62.01%), error:     11203.08105, best error:     11043.92871 on epoch:    19, epoch:   21/50, mu: 0.8290692568, learning_rate: 0.0001041714, weight_decay: 0.0001143039

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_1542303603_178_6008.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542303603_178_6008_2_r542019829_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.492727
read mu: 0.837487
read mu_delta: 0.947695
read initial_learning_rate: 0.000676832
read learning_rate: 9.52899e-05
read learning_rate_delta: 0.914742
read initial_weight_decay: 0.000589455
read weight_decay: 0.000105715
read weight_decay_delta: 0.924861
read batch_size: 107
read epsilon: 1e-07
read alpha: 0.0757249
read input_dropout_probability: 0.00113281
read hidden_dropout_probability: 0.111784
read velocity_reset: 2185
read epoch: 22
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 19
read number_validation_images: 10000
read best_validation_predictions: 6201
read best_validation_error: 11043.9
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: 6008
read normal distribution: '1 0 0'
generator_str: '605402896'
read generator: 605402896
read generated_by_map:
1 disable_node 1
reading 94 nodes.
reading 490 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
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!
epoch time: 972.082824707031s, input_fired_time: 11.5976114273071, output_fired_time: 3.92741703987122, propagate_forward_time: 287.916595458984, propagate_backward_time: 662.298034667969, weight_update_time: 0.218590795993805, other_time: 6.34320068359375
epoch time: 58.7334899902344s, input_fired_time: 0.658145189285278, output_fired_time: 0, propagate_forward_time: 57.0400161743164, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.03532791137695
validation[          , genome  6008] predictions:    6076/  10000 (60.76%), best:    6201/10000 (62.01%), error:     11371.76270, best error:     11043.92871 on epoch:    19, epoch:   22/50, mu: 0.8374866843, learning_rate: 0.0000952899, weight_decay: 0.0001057152

epoch time: 957.7772827148s, input_fired_time: 11.4402914047, output_fired_time: 3.8525147438, propagate_forward_time: 283.7219848633, propagate_backward_time: 652.4215087891, weight_update_time: 0.2152072340, other_time: 6.3409423828
epoch time: 58.4825325012s, input_fired_time: 0.6591530442, output_fired_time: 0.0000000000, propagate_forward_time: 56.8503341675, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9730453491
validation[          , genome  6008] predictions:    6212/  10000 (62.12%), best:    6201/10000 (62.01%), error:     11068.77930, best error:     11043.92871 on epoch:    19, epoch:   23/50, mu: 0.8454638124, learning_rate: 0.0000871656, weight_decay: 0.0000977719

epoch time: 955.9015502930s, input_fired_time: 11.4317636490, output_fired_time: 3.8434138298, propagate_forward_time: 283.2272949219, propagate_backward_time: 651.4273071289, weight_update_time: 0.2144595087, other_time: 5.9718017578
epoch time: 58.5024986267s, input_fired_time: 0.6576012969, output_fired_time: 0.0000000000, propagate_forward_time: 56.9084281921, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9364700317
validation[          , genome  6008] predictions:    6032/  10000 (60.32%), best:    6201/10000 (62.01%), error:     11403.09961, best error:     11043.92871 on epoch:    19, epoch:   24/50, mu: 0.8530237079, learning_rate: 0.0000797340, weight_decay: 0.0000904255

epoch time: 956.4692382813s, input_fired_time: 11.4406585693, output_fired_time: 3.8455977440, propagate_forward_time: 283.3168945313, propagate_backward_time: 651.5641479492, weight_update_time: 0.2149088383, other_time: 6.3019409180
epoch time: 58.6929969788s, input_fired_time: 0.6601904035, output_fired_time: 0.0000000000, propagate_forward_time: 57.0556945801, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9771118164
validation[          , genome  6008] predictions:    6220/  10000 (62.20%), best:    6201/10000 (62.01%), error:     11050.52344, best error:     11043.92871 on epoch:    19, epoch:   25/50, mu: 0.8601881862, learning_rate: 0.0000729360, weight_decay: 0.0000836311

epoch time: 954.4982299805s, input_fired_time: 11.4327678680, output_fired_time: 3.8410747051, propagate_forward_time: 282.8370056152, propagate_backward_time: 650.4224853516, weight_update_time: 0.2146491259, other_time: 5.9649658203
epoch time: 58.2783470154s, input_fired_time: 0.6590353847, output_fired_time: 0.0000000000, propagate_forward_time: 56.6880073547, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9313049316
validation[          , genome  6008] predictions:    5941/  10000 (59.41%), best:    6201/10000 (62.01%), error:     11634.22461, best error:     11043.92871 on epoch:    19, epoch:   26/50, mu: 0.8669779301, learning_rate: 0.0000667176, weight_decay: 0.0000773471

epoch time: 953.2991943359s, input_fired_time: 11.4144630432, output_fired_time: 3.8395721912, propagate_forward_time: 282.4697570801, propagate_backward_time: 649.6218261719, weight_update_time: 0.2147404104, other_time: 5.9534912109
epoch time: 58.4771575928s, input_fired_time: 0.6590933204, output_fired_time: 0.0000000000, propagate_forward_time: 56.8827247620, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9353408813
validation[          , genome  6008] predictions:    6138/  10000 (61.38%), best:    6201/10000 (62.01%), error:     11308.43164, best error:     11043.92871 on epoch:    19, epoch:   27/50, mu: 0.8734125495, learning_rate: 0.0000610294, weight_decay: 0.0000715354

epoch time: 964.5933837891s, input_fired_time: 11.5530405045, output_fired_time: 3.8815162182, propagate_forward_time: 285.6440124512, propagate_backward_time: 657.2578125000, weight_update_time: 0.2166085690, other_time: 6.2569580078
epoch time: 58.6704521179s, input_fired_time: 0.6639338136, output_fired_time: 0.0000000000, propagate_forward_time: 56.9757499695, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0307693481
validation[          , genome  6008] predictions:    6110/  10000 (61.10%), best:    6201/10000 (62.01%), error:     11256.56348, best error:     11043.92871 on epoch:    19, epoch:   28/50, mu: 0.8795106411, learning_rate: 0.0000558261, weight_decay: 0.0000661603

epoch time: 954.5168457031s, input_fired_time: 11.4391069412, output_fired_time: 3.8389987946, propagate_forward_time: 282.6820983887, propagate_backward_time: 649.9798583984, weight_update_time: 0.2138231695, other_time: 6.5767822266
epoch time: 58.5616226196s, input_fired_time: 0.6621798277, output_fired_time: 0.0000000000, propagate_forward_time: 56.8657341003, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0337104797
validation[          , genome  6008] predictions:    6151/  10000 (61.51%), best:    6201/10000 (62.01%), error:     11074.72852, best error:     11043.92871 on epoch:    19, epoch:   29/50, mu: 0.8852897286, learning_rate: 0.0000510665, weight_decay: 0.0000611891

epoch time: 954.3287963867s, input_fired_time: 11.4335002899, output_fired_time: 3.8319056034, propagate_forward_time: 282.6184082031, propagate_backward_time: 649.8648071289, weight_update_time: 0.2148052901, other_time: 6.5802001953
epoch time: 58.3909683228s, input_fired_time: 0.6617588997, output_fired_time: 0.0000000000, propagate_forward_time: 56.7007255554, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0284843445
validation[          , genome  6008] predictions:    6287/  10000 (62.87%), best:    6287/10000 (62.87%), error:     10801.28125, best error:     10801.28125 on epoch:    30, epoch:   30/50, mu: 0.8907665610, learning_rate: 0.0000467126, weight_decay: 0.0000565915

epoch time: 954.8096923828s, input_fired_time: 11.4437141418, output_fired_time: 3.8370153904, propagate_forward_time: 282.8150329590, propagate_backward_time: 650.1536254883, weight_update_time: 0.2143704891, other_time: 6.5602416992
epoch time: 58.5779838562s, input_fired_time: 0.6651871800, output_fired_time: 0.0000000000, propagate_forward_time: 56.8782501221, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0345458984
validation[          , genome  6008] predictions:    6286/  10000 (62.86%), best:    6286/10000 (62.86%), error:     10785.77344, best error:     10785.77344 on epoch:    31, epoch:   31/50, mu: 0.8959569335, learning_rate: 0.0000427300, weight_decay: 0.0000523393

epoch time: 958.3575439453s, input_fired_time: 11.4911451340, output_fired_time: 3.8510406017, propagate_forward_time: 283.8735656738, propagate_backward_time: 652.6054687500, weight_update_time: 0.2144296169, other_time: 6.5363769531
epoch time: 58.5610389709s, input_fired_time: 0.6663358808, output_fired_time: 0.0000000000, propagate_forward_time: 56.8634757996, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0312271118
validation[          , genome  6008] predictions:    6274/  10000 (62.74%), best:    6286/10000 (62.86%), error:     10823.16602, best error:     10785.77344 on epoch:    31, epoch:   32/50, mu: 0.9008758068, learning_rate: 0.0000390869, weight_decay: 0.0000484066

epoch time: 953.8566284180s, input_fired_time: 11.4407320023, output_fired_time: 3.8342034817, propagate_forward_time: 282.5049438477, propagate_backward_time: 649.5387573242, weight_update_time: 0.2138662636, other_time: 6.5379638672
epoch time: 58.4327926636s, input_fired_time: 0.6678912044, output_fired_time: 0.0000000000, propagate_forward_time: 56.7301025391, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0347976685
validation[          , genome  6008] predictions:    6319/  10000 (63.19%), best:    6319/10000 (63.19%), error:     10698.32813, best error:     10698.32813 on epoch:    33, epoch:   33/50, mu: 0.9055374265, learning_rate: 0.0000357544, weight_decay: 0.0000447694

epoch time: 954.3594360352s, input_fired_time: 11.4498319626, output_fired_time: 3.8361799717, propagate_forward_time: 282.5935058594, propagate_backward_time: 649.9247436523, weight_update_time: 0.2140982598, other_time: 6.5551757813
epoch time: 58.5551300049s, input_fired_time: 0.6689475179, output_fired_time: 0.0000000000, propagate_forward_time: 56.8560676575, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0301132202
validation[          , genome  6008] predictions:    6386/  10000 (63.86%), best:    6386/10000 (63.86%), error:     10613.79688, best error:     10613.79688 on epoch:    34, epoch:   34/50, mu: 0.9099552035, learning_rate: 0.0000327061, weight_decay: 0.0000414055

epoch time: 956.4995727539s, input_fired_time: 11.4843864441, output_fired_time: 3.8429698944, propagate_forward_time: 283.2624816895, propagate_backward_time: 651.3544921875, weight_update_time: 0.2147264332, other_time: 6.5552978516
epoch time: 58.9802436829s, input_fired_time: 0.6739444733, output_fired_time: 0.0000000000, propagate_forward_time: 57.2689971924, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0373001099
validation[          , genome  6008] predictions:    6329/  10000 (63.29%), best:    6386/10000 (63.86%), error:     10668.82227, best error:     10613.79688 on epoch:    34, epoch:   35/50, mu: 0.9141418934, learning_rate: 0.0000299176, weight_decay: 0.0000382943

epoch time: 955.2543334961s, input_fired_time: 11.4679164886, output_fired_time: 3.8370640278, propagate_forward_time: 282.9086303711, propagate_backward_time: 650.4765625000, weight_update_time: 0.2149964273, other_time: 6.5642089844
epoch time: 58.6854553223s, input_fired_time: 0.6718178988, output_fired_time: 0.0000000000, propagate_forward_time: 56.9779777527, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0356597900
validation[          , genome  6008] predictions:    6386/  10000 (63.86%), best:    6386/10000 (63.86%), error:     10513.78613, best error:     10513.78613 on epoch:    36, epoch:   36/50, mu: 0.9181095958, learning_rate: 0.0000273669, weight_decay: 0.0000354169

epoch time: 957.6193237305s, input_fired_time: 11.4991989136, output_fired_time: 3.8483443260, propagate_forward_time: 283.5969238281, propagate_backward_time: 652.1052856445, weight_update_time: 0.2149877697, other_time: 6.5695800781
epoch time: 58.5866584778s, input_fired_time: 0.6701332927, output_fired_time: 0.0000000000, propagate_forward_time: 56.8817520142, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0347747803
validation[          , genome  6008] predictions:    6287/  10000 (62.87%), best:    6386/10000 (63.86%), error:     10747.20117, best error:     10513.78613 on epoch:    36, epoch:   37/50, mu: 0.9218698144, learning_rate: 0.0000250336, weight_decay: 0.0000327558

epoch time: 956.9240112305s, input_fired_time: 11.5027065277, output_fired_time: 3.8446106911, propagate_forward_time: 283.4261169434, propagate_backward_time: 651.5789184570, weight_update_time: 0.2141260058, other_time: 6.5717163086
epoch time: 58.9756278992s, input_fired_time: 0.6749495268, output_fired_time: 0.0000000000, propagate_forward_time: 57.2629089355, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0377693176
validation[          , genome  6008] predictions:    6347/  10000 (63.47%), best:    6386/10000 (63.86%), error:     10650.37891, best error:     10513.78613 on epoch:    36, epoch:   38/50, mu: 0.9254333377, learning_rate: 0.0000228993, weight_decay: 0.0000302945

epoch time: 955.5337524414s, input_fired_time: 11.4893589020, output_fired_time: 3.8421406746, propagate_forward_time: 282.9952392578, propagate_backward_time: 650.6225585938, weight_update_time: 0.2138028294, other_time: 6.5844116211
epoch time: 58.6259765625s, input_fired_time: 0.6720511317, output_fired_time: 0.0000000000, propagate_forward_time: 56.9228744507, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0310516357
validation[          , genome  6008] predictions:    6224/  10000 (62.24%), best:    6386/10000 (63.86%), error:     10865.09277, best error:     10513.78613 on epoch:    36, epoch:   39/50, mu: 0.9288104773, learning_rate: 0.0000209469, weight_decay: 0.0000280182

epoch time: 954.5880126953s, input_fired_time: 11.4769954681, output_fired_time: 3.8356509209, propagate_forward_time: 282.7144470215, propagate_backward_time: 649.9834594727, weight_update_time: 0.2150024623, other_time: 6.5774536133
epoch time: 58.4796562195s, input_fired_time: 0.6733458638, output_fired_time: 0.0000000000, propagate_forward_time: 56.7777290344, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0285797119
validation[          , genome  6008] predictions:    6437/  10000 (64.37%), best:    6437/10000 (64.37%), error:     10488.10547, best error:     10488.10547 on epoch:    40, epoch:   40/50, mu: 0.9320109487, learning_rate: 0.0000191610, weight_decay: 0.0000259130

epoch time: 954.7202758789s, input_fired_time: 11.4783325195, output_fired_time: 3.8333971500, propagate_forward_time: 282.7351074219, propagate_backward_time: 650.1157836914, weight_update_time: 0.2144502401, other_time: 6.5576782227
epoch time: 58.5940284729s, input_fired_time: 0.6738722324, output_fired_time: 0.0000000000, propagate_forward_time: 56.8858757019, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0342788696
validation[          , genome  6008] predictions:    6368/  10000 (63.68%), best:    6437/10000 (64.37%), error:     10598.85547, best error:     10488.10547 on epoch:    40, epoch:   41/50, mu: 0.9350440502, learning_rate: 0.0000175274, weight_decay: 0.0000239659

epoch time: 956.9029541016s, input_fired_time: 11.5161628723, output_fired_time: 3.8453657627, propagate_forward_time: 283.3678894043, propagate_backward_time: 651.6095581055, weight_update_time: 0.2148619592, other_time: 6.5640258789
epoch time: 58.7304306030s, input_fired_time: 0.6758154631, output_fired_time: 0.0000000000, propagate_forward_time: 57.0223121643, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0323028564
validation[          , genome  6008] predictions:    6439/  10000 (64.39%), best:    6439/10000 (64.39%), error:     10482.28711, best error:     10482.28711 on epoch:    42, epoch:   42/50, mu: 0.9379184842, learning_rate: 0.0000160330, weight_decay: 0.0000221652

epoch time: 957.8351440430s, input_fired_time: 11.5293588638, output_fired_time: 3.8439893723, propagate_forward_time: 283.6244506836, propagate_backward_time: 652.2476196289, weight_update_time: 0.2153238654, other_time: 6.5897216797
epoch time: 58.6427383423s, input_fired_time: 0.6763802767, output_fired_time: 0.0000000000, propagate_forward_time: 56.9347457886, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0316123962
validation[          , genome  6008] predictions:    6344/  10000 (63.44%), best:    6439/10000 (64.39%), error:     10616.31055, best error:     10482.28711 on epoch:    42, epoch:   43/50, mu: 0.9406425953, learning_rate: 0.0000146661, weight_decay: 0.0000204997

epoch time: 980.4143676758s, input_fired_time: 11.7701835632, output_fired_time: 3.9367048740, propagate_forward_time: 289.4137573242, propagate_backward_time: 668.1585693359, weight_update_time: 0.2205593288, other_time: 7.1351318359
epoch time: 60.6820831299s, input_fired_time: 0.6916474104, output_fired_time: 0.0000000000, propagate_forward_time: 58.0802841187, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9101524353
validation[          , genome  6008] predictions:    6406/  10000 (64.06%), best:    6406/10000 (64.06%), error:     10477.70703, best error:     10477.70703 on epoch:    44, epoch:   44/50, mu: 0.9432241917, learning_rate: 0.0000134157, weight_decay: 0.0000189594

epoch time: 973.7162475586s, input_fired_time: 11.7373218536, output_fired_time: 3.9347748756, propagate_forward_time: 288.5171813965, propagate_backward_time: 662.8451538086, weight_update_time: 0.2211576104, other_time: 6.6818237305
epoch time: 60.3040733337s, input_fired_time: 0.6956751347, output_fired_time: 0.0000000000, propagate_forward_time: 58.5433616638, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0650367737
validation[          , genome  6008] predictions:    6425/  10000 (64.25%), best:    6425/10000 (64.25%), error:     10427.70313, best error:     10427.70313 on epoch:    45, epoch:   45/50, mu: 0.9456707835, learning_rate: 0.0000122719, weight_decay: 0.0000175348

epoch time: 1028.9152832031s, input_fired_time: 12.4931774139, output_fired_time: 4.2130265236, propagate_forward_time: 304.4055480957, propagate_backward_time: 700.3601074219, weight_update_time: 0.2415545136, other_time: 7.4434814453
epoch time: 62.1199073792s, input_fired_time: 0.7344810367, output_fired_time: 0.0000000000, propagate_forward_time: 60.2499160767, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1355094910
validation[          , genome  6008] predictions:    6438/  10000 (64.38%), best:    6438/10000 (64.38%), error:     10401.49707, best error:     10401.49707 on epoch:    46, epoch:   46/50, mu: 0.9479894042, learning_rate: 0.0000112256, weight_decay: 0.0000162173

epoch time: 999.7779541016s, input_fired_time: 12.0982179642, output_fired_time: 4.0728445053, propagate_forward_time: 296.1130676270, propagate_backward_time: 680.7988891602, weight_update_time: 0.2278398871, other_time: 6.6950073242
epoch time: 59.7795562744s, input_fired_time: 0.6948986053, output_fired_time: 0.0000000000, propagate_forward_time: 58.0287208557, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0559349060
validation[          , genome  6008] predictions:    6397/  10000 (63.97%), best:    6438/10000 (64.38%), error:     10513.84961, best error:     10401.49707 on epoch:    46, epoch:   47/50, mu: 0.9501867294, learning_rate: 0.0000102685, weight_decay: 0.0000149987

epoch time: 974.0692749023s, input_fired_time: 11.7533130646, output_fired_time: 3.9364123344, propagate_forward_time: 288.5120849609, propagate_backward_time: 663.4666137695, weight_update_time: 0.2201412916, other_time: 6.4008789063
epoch time: 59.7934837341s, input_fired_time: 0.6948170066, output_fired_time: 0.0000000000, propagate_forward_time: 58.0393753052, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0592918396
validation[          , genome  6008] predictions:    6467/  10000 (64.67%), best:    6438/10000 (64.38%), error:     10411.15039, best error:     10401.49707 on epoch:    46, epoch:   48/50, mu: 0.9522691369, learning_rate: 0.0000093930, weight_decay: 0.0000138717

epoch time: 974.9950561523s, input_fired_time: 11.7996177673, output_fired_time: 3.9426858425, propagate_forward_time: 288.9071655273, propagate_backward_time: 663.5222778320, weight_update_time: 0.2219801247, other_time: 6.8233032227
epoch time: 60.6620140076s, input_fired_time: 0.7110950351, output_fired_time: 0.0000000000, propagate_forward_time: 58.8668479919, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0840721130
validation[          , genome  6008] predictions:    6453/  10000 (64.53%), best:    6438/10000 (64.38%), error:     10402.43359, best error:     10401.49707 on epoch:    46, epoch:   49/50, mu: 0.9542426467, learning_rate: 0.0000085922, weight_decay: 0.0000128294

epoch time: 976.5290527344s, input_fired_time: 11.7929925919, output_fired_time: 3.9529752731, propagate_forward_time: 289.3265686035, propagate_backward_time: 665.0627441406, weight_update_time: 0.2223393619, other_time: 6.3937988281
epoch time: 59.5769920349s, input_fired_time: 0.6953763962, output_fired_time: 0.0000000000, propagate_forward_time: 57.8220443726, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0595703125
validation[          , genome  6008] predictions:    6469/  10000 (64.69%), best:    6469/10000 (64.69%), error:     10347.20410, best error:     10347.20410 on epoch:    50, epoch:   50/50, mu: 0.9561129212, learning_rate: 0.0000078597, weight_decay: 0.0000118655

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 296.9384765625s, input_fired_time: 3.4783051014, output_fired_time: 0.0000000000, propagate_forward_time: 288.5312194824, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9289550781
best training[          , genome  6008] predictions:   34529/  50000 (69.06%), best:    6469/10000 (64.69%), error:     46602.05859, best error:     10347.20410 on epoch:    50, epoch:   51/50, mu: 0.9578853846, learning_rate: 0.0000071896, weight_decay: 0.0000109739
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 60.7184371948s, input_fired_time: 0.6994578838, output_fired_time: 0.0000000000, propagate_forward_time: 58.0616874695, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9572906494
   testing[          , genome  6008] predictions:    6469/  10000 (64.69%), best:    6469/10000 (64.69%), error:     10347.20410, best error:     10347.20410 on epoch:    50, epoch:   51/50, mu: 0.9578853846, learning_rate: 0.0000071896, weight_decay: 0.0000109739
backpropagation finished successfully!
09:29:51 (5216): called boinc_finish(0)

</stderr_txt>
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