Nameexact_genome_1515759602_52_11731_4
Workunit2885913
Created9 Feb 2018, 14:19:31 UTC
Sent9 Feb 2018, 15:03:37 UTC
Report deadline8 Mar 2018, 22:03:00 UTC
Received10 Feb 2018, 11:25:35 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID71393
Run time15 hours 20 min 29 sec
CPU time15 hours 20 min 14 sec
Validate stateInitial
Credit0.00
Device peak FLOPS1.91 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33
Peak working set size170.79 MB
Peak swap size172.08 MB
Peak disk usage3.43 MB

Stderr output

<core_client_version>7.6.31</core_client_version>
<![CDATA[
<stderr_txt>
ime: 48.7663803101s, input_fired_time: 0.9022403359, output_fired_time: 0.0000000000, propagate_forward_time: 46.3201217651, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5440177917
validation[          , genome 11731] predictions:    9856/  10000 (98.56%), best:    9871/10000 (98.71%), error:       494.98468, best error:       423.60062 on epoch:    28, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 581.9268798828s, input_fired_time: 7.8988089561, output_fired_time: 6.2661991119, propagate_forward_time: 222.6619567871, propagate_backward_time: 336.8968200684, weight_update_time: 0.6031423807, other_time: 8.2031250000
epoch time: 48.2998619080s, input_fired_time: 0.8765222430, output_fired_time: 0.0000000000, propagate_forward_time: 46.1044807434, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3188591003
validation[          , genome 11731] predictions:    9875/  10000 (98.75%), best:    9871/10000 (98.71%), error:       437.59753, best error:       423.60062 on epoch:    28, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 590.2152099609s, input_fired_time: 8.0465507507, output_fired_time: 6.3701548576, propagate_forward_time: 225.3403472900, propagate_backward_time: 341.8650817871, weight_update_time: 0.6114139557, other_time: 8.5930480957
epoch time: 48.3979835510s, input_fired_time: 0.8880829215, output_fired_time: 0.0000000000, propagate_forward_time: 46.0774650574, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4324340820
validation[          , genome 11731] predictions:    9860/  10000 (98.60%), best:    9871/10000 (98.71%), error:       474.68637, best error:       423.60062 on epoch:    28, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 579.9713134766s, input_fired_time: 7.9113440514, output_fired_time: 6.2543263435, propagate_forward_time: 222.2049102783, propagate_backward_time: 335.5036010742, weight_update_time: 0.6036565900, other_time: 8.0971679688
epoch time: 48.5148773193s, input_fired_time: 0.9218394160, output_fired_time: 0.0000000000, propagate_forward_time: 45.8893280029, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7037086487
validation[          , genome 11731] predictions:    9844/  10000 (98.44%), best:    9871/10000 (98.71%), error:       500.57083, best error:       423.60062 on epoch:    28, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 578.0021972656s, input_fired_time: 7.9646482468, output_fired_time: 6.1642241478, propagate_forward_time: 221.5482482910, propagate_backward_time: 333.4958801270, weight_update_time: 0.6003852487, other_time: 8.8291625977
epoch time: 48.7589416504s, input_fired_time: 0.9539612532, output_fired_time: 0.0000000000, propagate_forward_time: 46.4572257996, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3477554321
validation[          , genome 11731] predictions:    9860/  10000 (98.60%), best:    9871/10000 (98.71%), error:       482.07904, best error:       423.60062 on epoch:    28, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 583.3876953125s, input_fired_time: 8.0476999283, output_fired_time: 6.2264337540, propagate_forward_time: 223.2268066406, propagate_backward_time: 336.1797790527, weight_update_time: 0.6057493687, other_time: 9.7069396973
epoch time: 49.2255439758s, input_fired_time: 0.8993339539, output_fired_time: 0.0000000000, propagate_forward_time: 46.9462585449, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3799514771
validation[          , genome 11731] predictions:    9868/  10000 (98.68%), best:    9868/10000 (98.68%), error:       421.44806, best error:       421.44806 on epoch:    37, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1515759602_52_11731.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1515759602_52_11731_4_r1382433703_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: 0.5
read mu: 0.920226
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00177995
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.11978e-05
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: 38
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 37
read number_validation_images: 10000
read best_validation_predictions: 9868
read best_validation_error: 421.448
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: 11731
read normal distribution: '1 0 0'
generator_str: '175721151'
read generator: 175721151
read generated_by_map:
1 crossover 1
reading 99 nodes.
reading 379 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
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: 1x28x28 = 784
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: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 411.047241210938s, input_fired_time: 6.39963912963867, output_fired_time: 4.64978313446045, propagate_forward_time: 162.588119506836, propagate_backward_time: 230.477523803711, weight_update_time: 0.490091621875763, other_time: 6.93218994140625
epoch time: 44.6549377441406s, input_fired_time: 0.865774750709534, output_fired_time: 0, propagate_forward_time: 42.4152908325195, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.37387084960938
validation[          , genome 11731] predictions:    9877/  10000 (98.77%), best:    9877/10000 (98.77%), error:       414.86020, best error:       414.86020 on epoch:    38, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 430.3443298340s, input_fired_time: 6.5500845909, output_fired_time: 4.7804942131, propagate_forward_time: 169.6157531738, propagate_backward_time: 242.4870147705, weight_update_time: 0.4927216768, other_time: 6.9109954834
epoch time: 29.9517803192s, input_fired_time: 0.6212439537, output_fired_time: 0.0000000000, propagate_forward_time: 28.2626152039, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0679206848
validation[          , genome 11731] predictions:    9813/  10000 (98.13%), best:    9877/10000 (98.77%), error:       574.56140, best error:       414.86020 on epoch:    38, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 399.8132629395s, input_fired_time: 6.2380433083, output_fired_time: 4.5156335831, propagate_forward_time: 158.6272430420, propagate_backward_time: 223.8347015381, weight_update_time: 0.4712475240, other_time: 6.5976562500
epoch time: 37.5036582947s, input_fired_time: 0.7377409935, output_fired_time: 0.0000000000, propagate_forward_time: 35.5469169617, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2190017700
validation[          , genome 11731] predictions:    9864/  10000 (98.64%), best:    9877/10000 (98.77%), error:       457.45285, best error:       414.86020 on epoch:    38, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 429.1483764648s, input_fired_time: 6.5228705406, output_fired_time: 4.7729382515, propagate_forward_time: 169.2540893555, propagate_backward_time: 241.7740325928, weight_update_time: 0.4919296205, other_time: 6.8244476318
epoch time: 44.6463661194s, input_fired_time: 0.8534200788, output_fired_time: 0.0000000000, propagate_forward_time: 42.4897499084, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3031959534
validation[          , genome 11731] predictions:    9854/  10000 (98.54%), best:    9877/10000 (98.77%), error:       486.70602, best error:       414.86020 on epoch:    38, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 478.7651062012s, input_fired_time: 7.0683226585, output_fired_time: 5.2444734573, propagate_forward_time: 187.6206512451, propagate_backward_time: 271.4461669922, weight_update_time: 0.5333668590, other_time: 7.3854980469
epoch time: 29.4947795868s, input_fired_time: 0.6156914234, output_fired_time: 0.0000000000, propagate_forward_time: 27.8237838745, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0553035736
validation[          , genome 11731] predictions:    9889/  10000 (98.89%), best:    9889/10000 (98.89%), error:       406.44431, best error:       406.44431 on epoch:    42, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 456.8625183105s, input_fired_time: 6.8044590950, output_fired_time: 5.0269918442, propagate_forward_time: 179.7071838379, propagate_backward_time: 258.2078247070, weight_update_time: 0.5130174160, other_time: 7.1160583496
epoch time: 34.3977165222s, input_fired_time: 0.6953743100, output_fired_time: 0.0000000000, propagate_forward_time: 32.5232238770, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1791191101
validation[          , genome 11731] predictions:    9877/  10000 (98.77%), best:    9889/10000 (98.89%), error:       458.77554, best error:       406.44431 on epoch:    42, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 436.0280761719s, input_fired_time: 6.6277847290, output_fired_time: 4.8388290405, propagate_forward_time: 171.8365478516, propagate_backward_time: 245.7205657959, weight_update_time: 0.5001775622, other_time: 7.0043487549
epoch time: 35.2226982117s, input_fired_time: 0.7131987214, output_fired_time: 0.0000000000, propagate_forward_time: 33.2833633423, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2261352539
validation[          , genome 11731] predictions:    9860/  10000 (98.60%), best:    9889/10000 (98.89%), error:       466.74207, best error:       406.44431 on epoch:    42, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 365.2008972168s, input_fired_time: 5.9513425827, output_fired_time: 4.1924266815, propagate_forward_time: 146.1384735107, propagate_backward_time: 202.4889678955, weight_update_time: 0.4483789504, other_time: 6.4296875000
epoch time: 32.0020065308s, input_fired_time: 0.6648924947, output_fired_time: 0.0000000000, propagate_forward_time: 30.1690216064, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1680927277
validation[          , genome 11731] predictions:    9860/  10000 (98.60%), best:    9889/10000 (98.89%), error:       507.29663, best error:       406.44431 on epoch:    42, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 366.3001708984s, input_fired_time: 5.9835577011, output_fired_time: 4.2106995583, propagate_forward_time: 146.6732482910, propagate_backward_time: 202.9490661621, weight_update_time: 0.4501659572, other_time: 6.4836120605
epoch time: 29.5309448242s, input_fired_time: 0.6256261468, output_fired_time: 0.0000000000, propagate_forward_time: 27.8218212128, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0834980011
validation[          , genome 11731] predictions:    9883/  10000 (98.83%), best:    9889/10000 (98.89%), error:       415.91592, best error:       406.44431 on epoch:    42, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 394.9579162598s, input_fired_time: 6.2450532913, output_fired_time: 4.4706020355, propagate_forward_time: 156.8905944824, propagate_backward_time: 220.7020416260, weight_update_time: 0.4693484306, other_time: 6.6496124268
epoch time: 31.9244594574s, input_fired_time: 0.6644576192, output_fired_time: 0.0000000000, propagate_forward_time: 30.1130905151, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1469116211
validation[          , genome 11731] predictions:    9871/  10000 (98.71%), best:    9889/10000 (98.89%), error:       453.22144, best error:       406.44431 on epoch:    42, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 354.9725646973s, input_fired_time: 5.8801388741, output_fired_time: 4.1238036156, propagate_forward_time: 142.3282775879, propagate_backward_time: 196.2893676758, weight_update_time: 0.4414700568, other_time: 6.3509826660
epoch time: 29.7254161835s, input_fired_time: 0.6356289387, output_fired_time: 0.0000000000, propagate_forward_time: 27.9672298431, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1225566864
validation[          , genome 11731] predictions:    9871/  10000 (98.71%), best:    9889/10000 (98.89%), error:       407.54526, best error:       406.44431 on epoch:    42, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 384.6515808105s, input_fired_time: 6.1399488449, output_fired_time: 4.3885617256, propagate_forward_time: 152.3914489746, propagate_backward_time: 215.1557922363, weight_update_time: 0.4620216787, other_time: 6.5758361816
epoch time: 31.9347381592s, input_fired_time: 0.6539894938, output_fired_time: 0.0000000000, propagate_forward_time: 30.1918907166, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0888576508
validation[          , genome 11731] predictions:    9881/  10000 (98.81%), best:    9889/10000 (98.89%), error:       408.18671, best error:       406.44431 on epoch:    42, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 371.6235351562s, input_fired_time: 6.0450124741, output_fired_time: 4.2782821655, propagate_forward_time: 148.8421020508, propagate_backward_time: 205.9879302979, weight_update_time: 0.4540120661, other_time: 6.4701995850
epoch time: 35.5939750671s, input_fired_time: 0.7256627679, output_fired_time: 0.0000000000, propagate_forward_time: 33.6564369202, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2118759155
validation[          , genome 11731] predictions:    9883/  10000 (98.83%), best:    9883/10000 (98.83%), error:       395.55042, best error:       395.55042 on epoch:    50, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 398.3349304199s, input_fired_time: 6.2627882957, output_fired_time: 4.4566874504, propagate_forward_time: 158.3175048828, propagate_backward_time: 222.6594390869, weight_update_time: 0.4711038172, other_time: 6.6385040283
epoch time: 30.1600265503s, input_fired_time: 0.6371936202, output_fired_time: 0.0000000000, propagate_forward_time: 28.4193153381, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1035175323
validation[          , genome 11731] predictions:    9886/  10000 (98.86%), best:    9883/10000 (98.83%), error:       402.20325, best error:       395.55042 on epoch:    50, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 433.2036132812s, input_fired_time: 6.5840911865, output_fired_time: 4.8273730278, propagate_forward_time: 170.5374603271, propagate_backward_time: 244.3323974609, weight_update_time: 0.4953852594, other_time: 6.9222869873
epoch time: 40.3762054443s, input_fired_time: 0.7993332744, output_fired_time: 0.0000000000, propagate_forward_time: 38.2891998291, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2876739502
validation[          , genome 11731] predictions:    9861/  10000 (98.61%), best:    9883/10000 (98.83%), error:       473.82175, best error:       395.55042 on epoch:    50, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 407.7981567383s, input_fired_time: 6.3925356865, output_fired_time: 4.6023507118, propagate_forward_time: 162.1885986328, propagate_backward_time: 227.8180999756, weight_update_time: 0.4817957878, other_time: 6.7965545654
epoch time: 32.2769889832s, input_fired_time: 0.6759901047, output_fired_time: 0.0000000000, propagate_forward_time: 30.4419517517, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1590461731
validation[          , genome 11731] predictions:    9885/  10000 (98.85%), best:    9885/10000 (98.85%), error:       393.97021, best error:       393.97021 on epoch:    53, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 370.6298828125s, input_fired_time: 6.0675544739, output_fired_time: 4.2501950264, propagate_forward_time: 148.4902801514, propagate_backward_time: 205.3424224854, weight_update_time: 0.4531045258, other_time: 6.4794311523
epoch time: 49.1460571289s, input_fired_time: 0.9641951323, output_fired_time: 0.0000000000, propagate_forward_time: 46.7023963928, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4794654846
validation[          , genome 11731] predictions:    9860/  10000 (98.60%), best:    9885/10000 (98.85%), error:       450.12479, best error:       393.97021 on epoch:    53, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 477.9551086426s, input_fired_time: 7.0769600868, output_fired_time: 5.2342190742, propagate_forward_time: 187.0459899902, propagate_backward_time: 271.2231445312, weight_update_time: 0.5319919586, other_time: 7.3747863770
epoch time: 29.5464229584s, input_fired_time: 0.6188227534, output_fired_time: 0.0000000000, propagate_forward_time: 27.8725605011, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0550403595
validation[          , genome 11731] predictions:    9883/  10000 (98.83%), best:    9885/10000 (98.85%), error:       394.50119, best error:       393.97021 on epoch:    53, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 476.7557678223s, input_fired_time: 7.0617818832, output_fired_time: 5.2385716438, propagate_forward_time: 186.2086181641, propagate_backward_time: 270.8856506348, weight_update_time: 0.5285191536, other_time: 7.3611450195
epoch time: 37.2759056091s, input_fired_time: 0.7520999312, output_fired_time: 0.0000000000, propagate_forward_time: 35.2735404968, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2502670288
validation[          , genome 11731] predictions:    9892/  10000 (98.92%), best:    9885/10000 (98.85%), error:       404.90228, best error:       393.97021 on epoch:    53, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 443.4451599121s, input_fired_time: 6.6952924728, output_fired_time: 4.9191498756, propagate_forward_time: 174.3119659424, propagate_backward_time: 250.5555114746, weight_update_time: 0.5001612902, other_time: 6.9632263184
epoch time: 46.8268203735s, input_fired_time: 0.9200209975, output_fired_time: 0.0000000000, propagate_forward_time: 44.4664497375, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4403495789
validation[          , genome 11731] predictions:    9890/  10000 (98.90%), best:    9890/10000 (98.90%), error:       393.36758, best error:       393.36758 on epoch:    57, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 413.5292053223s, input_fired_time: 6.4587883949, output_fired_time: 4.6700606346, propagate_forward_time: 163.5578918457, propagate_backward_time: 232.0600128174, weight_update_time: 0.4827132821, other_time: 6.7824249268
epoch time: 29.4494380951s, input_fired_time: 0.6215808392, output_fired_time: 0.0000000000, propagate_forward_time: 27.7642498016, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0636081696
validation[          , genome 11731] predictions:    9881/  10000 (98.81%), best:    9890/10000 (98.90%), error:       404.13199, best error:       393.36758 on epoch:    57, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 352.3323059082s, input_fired_time: 5.8723120689, output_fired_time: 4.1038117409, propagate_forward_time: 141.4374694824, propagate_backward_time: 194.6125030518, weight_update_time: 0.4343592823, other_time: 6.3061981201
epoch time: 29.4635162354s, input_fired_time: 0.6203356385, output_fired_time: 0.0000000000, propagate_forward_time: 27.7907962799, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0523834229
validation[          , genome 11731] predictions:    9879/  10000 (98.79%), best:    9890/10000 (98.90%), error:       437.48279, best error:       393.36758 on epoch:    57, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 525.8465576172s, input_fired_time: 7.5233020782, output_fired_time: 5.6582818031, propagate_forward_time: 203.7140045166, propagate_backward_time: 301.1597595215, weight_update_time: 0.5658584237, other_time: 7.7912292480
epoch time: 37.0284614563s, input_fired_time: 0.7584524155, output_fired_time: 0.0000000000, propagate_forward_time: 35.0069465637, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2630615234
validation[          , genome 11731] predictions:    9902/  10000 (99.02%), best:    9902/10000 (99.02%), error:       388.55157, best error:       388.55157 on epoch:    60, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1515759602_52_11731.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1515759602_52_11731_4_r1382433703_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: 0.5
read mu: 0.968555
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000547078
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.18831e-05
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: 61
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 60
read number_validation_images: 10000
read best_validation_predictions: 9902
read best_validation_error: 388.552
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: 11731
read normal distribution: '1 0 0'
generator_str: '469423926'
read generator: 469423926
read generated_by_map:
1 crossover 1
reading 99 nodes.
reading 379 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
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: 1x28x28 = 784
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: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 488.769866943359s, input_fired_time: 7.12605571746826, output_fired_time: 5.34183597564697, propagate_forward_time: 189.566558837891, propagate_backward_time: 278.674011230469, weight_update_time: 0.537163197994232, other_time: 8.0614013671875
epoch time: 46.6631202697754s, input_fired_time: 0.907879292964935, output_fired_time: 0, propagate_forward_time: 44.247932434082, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.50730895996094
validation[          , genome 11731] predictions:    9892/  10000 (98.92%), best:    9892/10000 (98.92%), error:       378.24902, best error:       378.24902 on epoch:    61, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 519.3541259766s, input_fired_time: 7.4114737511, output_fired_time: 5.6723346710, propagate_forward_time: 200.5012664795, propagate_backward_time: 297.4417114258, weight_update_time: 0.5572969317, other_time: 8.3273315430
epoch time: 46.8423347473s, input_fired_time: 0.8685282469, output_fired_time: 0.0000000000, propagate_forward_time: 44.6859321594, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2878761292
validation[          , genome 11731] predictions:    9903/  10000 (99.03%), best:    9892/10000 (98.92%), error:       379.32559, best error:       378.24902 on epoch:    61, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 561.4399414062s, input_fired_time: 7.7970566750, output_fired_time: 6.0821542740, propagate_forward_time: 215.3560791016, propagate_backward_time: 323.9787902832, weight_update_time: 0.5869505405, other_time: 8.2258605957
epoch time: 48.0420608521s, input_fired_time: 0.8875789046, output_fired_time: 0.0000000000, propagate_forward_time: 45.8509559631, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3035278320
validation[          , genome 11731] predictions:    9893/  10000 (98.93%), best:    9892/10000 (98.92%), error:       391.94971, best error:       378.24902 on epoch:    61, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 549.0050048828s, input_fired_time: 7.6366109848, output_fired_time: 5.8739595413, propagate_forward_time: 211.1132354736, propagate_backward_time: 316.1370239258, weight_update_time: 0.5783304572, other_time: 8.2442016602
epoch time: 44.6442756653s, input_fired_time: 0.8480272293, output_fired_time: 0.0000000000, propagate_forward_time: 42.3000564575, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4961929321
validation[          , genome 11731] predictions:    9887/  10000 (98.87%), best:    9892/10000 (98.92%), error:       391.39316, best error:       378.24902 on epoch:    61, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 516.1512451172s, input_fired_time: 7.4216556549, output_fired_time: 5.6853327751, propagate_forward_time: 199.7910614014, propagate_backward_time: 295.1811523438, weight_update_time: 0.5578665137, other_time: 8.0720214844
epoch time: 44.7791938782s, input_fired_time: 0.8728205562, output_fired_time: 0.0000000000, propagate_forward_time: 42.4415283203, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4648437500
validation[          , genome 11731] predictions:    9888/  10000 (98.88%), best:    9892/10000 (98.92%), error:       389.65930, best error:       378.24902 on epoch:    61, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 530.5306396484s, input_fired_time: 7.5133213997, output_fired_time: 5.7953586578, propagate_forward_time: 203.6473541260, propagate_backward_time: 304.7995910645, weight_update_time: 0.5668689013, other_time: 8.7750549316
epoch time: 46.3677673340s, input_fired_time: 0.8633016348, output_fired_time: 0.0000000000, propagate_forward_time: 44.0342254639, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4702415466
validation[          , genome 11731] predictions:    9895/  10000 (98.95%), best:    9895/10000 (98.95%), error:       370.87402, best error:       370.87402 on epoch:    66, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 518.1433105469s, input_fired_time: 7.3544006348, output_fired_time: 5.6962380409, propagate_forward_time: 199.2527465820, propagate_backward_time: 297.4306030273, weight_update_time: 0.5578597188, other_time: 8.4093322754
epoch time: 40.5231742859s, input_fired_time: 0.7992174029, output_fired_time: 0.0000000000, propagate_forward_time: 38.4377098083, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2862472534
validation[          , genome 11731] predictions:    9896/  10000 (98.96%), best:    9896/10000 (98.96%), error:       363.04565, best error:       363.04565 on epoch:    67, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 545.7283325195s, input_fired_time: 7.6580252647, output_fired_time: 5.9328250885, propagate_forward_time: 208.4964752197, propagate_backward_time: 314.3499755859, weight_update_time: 0.5743770003, other_time: 9.2910766602
epoch time: 36.5615653992s, input_fired_time: 0.7373325825, output_fired_time: 0.0000000000, propagate_forward_time: 34.6301879883, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1940460205
validation[          , genome 11731] predictions:    9885/  10000 (98.85%), best:    9896/10000 (98.96%), error:       387.29510, best error:       363.04565 on epoch:    67, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 512.1059570312s, input_fired_time: 7.3546404839, output_fired_time: 5.6185574532, propagate_forward_time: 197.6478271484, propagate_backward_time: 293.3136596680, weight_update_time: 0.5542382598, other_time: 8.1712646484
epoch time: 38.7373771667s, input_fired_time: 0.7838786840, output_fired_time: 0.0000000000, propagate_forward_time: 36.5905799866, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3629188538
validation[          , genome 11731] predictions:    9886/  10000 (98.86%), best:    9896/10000 (98.96%), error:       410.86346, best error:       363.04565 on epoch:    67, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 493.8625793457s, input_fired_time: 7.2416067123, output_fired_time: 5.4377651215, propagate_forward_time: 190.7580718994, propagate_backward_time: 281.9013671875, weight_update_time: 0.5449957252, other_time: 8.5237426758
epoch time: 41.5512542725s, input_fired_time: 0.8177937269, output_fired_time: 0.0000000000, propagate_forward_time: 39.2523040771, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4811553955
validation[          , genome 11731] predictions:    9897/  10000 (98.97%), best:    9896/10000 (98.96%), error:       364.91217, best error:       363.04565 on epoch:    67, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 549.2228393555s, input_fired_time: 7.8052892685, output_fired_time: 5.9631109238, propagate_forward_time: 209.9915313721, propagate_backward_time: 315.5274353027, weight_update_time: 0.5857228637, other_time: 9.9354553223
epoch time: 47.2341117859s, input_fired_time: 0.9178906083, output_fired_time: 0.0000000000, propagate_forward_time: 44.7517242432, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5644950867
validation[          , genome 11731] predictions:    9895/  10000 (98.95%), best:    9896/10000 (98.96%), error:       389.98373, best error:       363.04565 on epoch:    67, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 576.4697265625s, input_fired_time: 8.1420803070, output_fired_time: 6.1823725700, propagate_forward_time: 219.6814575195, propagate_backward_time: 331.7376098633, weight_update_time: 0.6007516384, other_time: 10.7261962891
epoch time: 48.7975997925s, input_fired_time: 1.0164066553, output_fired_time: 0.0000000000, propagate_forward_time: 45.4290771484, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3521156311
validation[          , genome 11731] predictions:    9862/  10000 (98.62%), best:    9896/10000 (98.96%), error:       435.58832, best error:       363.04565 on epoch:    67, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 582.3649291992s, input_fired_time: 8.3557558060, output_fired_time: 6.2422838211, propagate_forward_time: 220.3658447266, propagate_backward_time: 333.8419799805, weight_update_time: 0.6064531803, other_time: 13.5590209961
epoch time: 48.4434242249s, input_fired_time: 1.0034291744, output_fired_time: 0.0000000000, propagate_forward_time: 45.2361679077, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2038269043
validation[          , genome 11731] predictions:    9890/  10000 (98.90%), best:    9896/10000 (98.96%), error:       393.24127, best error:       363.04565 on epoch:    67, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 565.5731811523s, input_fired_time: 7.9685096741, output_fired_time: 6.1111059189, propagate_forward_time: 215.9145507812, propagate_backward_time: 325.3718261719, weight_update_time: 0.5936665535, other_time: 10.2072143555
epoch time: 48.5253181458s, input_fired_time: 0.8947710395, output_fired_time: 0.0000000000, propagate_forward_time: 46.3187980652, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3117485046
validation[          , genome 11731] predictions:    9881/  10000 (98.81%), best:    9896/10000 (98.96%), error:       414.38171, best error:       363.04565 on epoch:    67, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 578.2437744141s, input_fired_time: 8.0434017181, output_fired_time: 6.1989917755, propagate_forward_time: 220.2763977051, propagate_backward_time: 333.1897583008, weight_update_time: 0.5998939872, other_time: 10.5352478027
epoch time: 48.8885803223s, input_fired_time: 0.9114323258, output_fired_time: 0.0000000000, propagate_forward_time: 46.6370086670, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3401374817
validation[          , genome 11731] predictions:    9886/  10000 (98.86%), best:    9896/10000 (98.96%), error:       399.72104, best error:       363.04565 on epoch:    67, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 584.0193481445s, input_fired_time: 8.0043401718, output_fired_time: 6.2519974709, propagate_forward_time: 224.5164337158, propagate_backward_time: 337.2458190918, weight_update_time: 0.6062557101, other_time: 8.0007629395
epoch time: 47.2838668823s, input_fired_time: 0.8813498616, output_fired_time: 0.0000000000, propagate_forward_time: 45.1018714905, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3006439209
validation[          , genome 11731] predictions:    9894/  10000 (98.94%), best:    9896/10000 (98.96%), error:       370.21780, best error:       363.04565 on epoch:    67, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1515759602_52_11731.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1515759602_52_11731_4_r1382433703_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: 0.5
read mu: 0.980561
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000240784
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 9.63135e-06
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: 77
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 67
read number_validation_images: 10000
read best_validation_predictions: 9896
read best_validation_error: 363.046
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: 11731
read normal distribution: '1 0 0'
generator_str: '1190962602'
read generator: 1190962602
read generated_by_map:
1 crossover 1
reading 99 nodes.
reading 379 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
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: 1x28x28 = 784
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: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 475.303588867188s, input_fired_time: 7.14341878890991, output_fired_time: 5.29746770858765, propagate_forward_time: 184.947204589844, propagate_backward_time: 269.250122070312, weight_update_time: 0.52869188785553, other_time: 8.66537475585938
epoch time: 43.9599075317383s, input_fired_time: 0.878986954689026, output_fired_time: 0, propagate_forward_time: 41.2757453918457, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.80517578125
validation[          , genome 11731] predictions:    9898/  10000 (98.98%), best:    9896/10000 (98.96%), error:       378.58331, best error:       363.04565 on epoch:    67, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 568.9274291992s, input_fired_time: 7.9603648186, output_fired_time: 6.1024770737, propagate_forward_time: 217.7406463623, propagate_backward_time: 327.3419494629, weight_update_time: 0.5965551734, other_time: 9.7819519043
epoch time: 47.2185554504s, input_fired_time: 0.9217922091, output_fired_time: 0.0000000000, propagate_forward_time: 44.4694786072, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8272857666
validation[          , genome 11731] predictions:    9891/  10000 (98.91%), best:    9896/10000 (98.96%), error:       385.59625, best error:       363.04565 on epoch:    67, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 576.5269775391s, input_fired_time: 8.0444955826, output_fired_time: 6.2167158127, propagate_forward_time: 219.7536163330, propagate_backward_time: 332.5751953125, weight_update_time: 0.6006873846, other_time: 9.9369506836
epoch time: 47.7411231995s, input_fired_time: 0.9040806890, output_fired_time: 0.0000000000, propagate_forward_time: 45.4880752563, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3489685059
validation[          , genome 11731] predictions:    9896/  10000 (98.96%), best:    9896/10000 (98.96%), error:       381.27036, best error:       363.04565 on epoch:    67, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 564.0892333984s, input_fired_time: 8.0091876984, output_fired_time: 6.1362810135, propagate_forward_time: 214.5828399658, propagate_backward_time: 324.9984741211, weight_update_time: 0.5906344056, other_time: 10.3624267578
epoch time: 47.6179428101s, input_fired_time: 0.9339405298, output_fired_time: 0.0000000000, propagate_forward_time: 44.5287399292, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1552619934
validation[          , genome 11731] predictions:    9897/  10000 (98.97%), best:    9896/10000 (98.96%), error:       376.55920, best error:       363.04565 on epoch:    67, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 552.3550415039s, input_fired_time: 7.8473138809, output_fired_time: 6.0766568184, propagate_forward_time: 210.4620971680, propagate_backward_time: 318.1650085449, weight_update_time: 0.5816988349, other_time: 9.8039855957
epoch time: 46.2196197510s, input_fired_time: 0.9298636913, output_fired_time: 0.0000000000, propagate_forward_time: 43.2887992859, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0009574890
validation[          , genome 11731] predictions:    9900/  10000 (99.00%), best:    9896/10000 (98.96%), error:       389.31430, best error:       363.04565 on epoch:    67, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 569.9192504883s, input_fired_time: 7.9326772690, output_fired_time: 6.1187734604, propagate_forward_time: 218.6858825684, propagate_backward_time: 328.2480773926, weight_update_time: 0.5952718258, other_time: 8.9338378906
epoch time: 46.6541061401s, input_fired_time: 0.8879652023, output_fired_time: 0.0000000000, propagate_forward_time: 44.4095764160, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3565635681
validation[          , genome 11731] predictions:    9879/  10000 (98.79%), best:    9896/10000 (98.96%), error:       395.69516, best error:       363.04565 on epoch:    67, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 526.6931152344s, input_fired_time: 7.6852259636, output_fired_time: 5.7613248825, propagate_forward_time: 202.0443115234, propagate_backward_time: 301.0482788086, weight_update_time: 0.5667467713, other_time: 10.1539306641
epoch time: 40.6260604858s, input_fired_time: 0.8237820268, output_fired_time: 0.0000000000, propagate_forward_time: 38.2996635437, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5026130676
validation[          , genome 11731] predictions:    9887/  10000 (98.87%), best:    9896/10000 (98.96%), error:       386.35428, best error:       363.04565 on epoch:    67, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 482.9197082520s, input_fired_time: 7.2245092392, output_fired_time: 5.3662571907, propagate_forward_time: 187.4942626953, propagate_backward_time: 274.0651550293, weight_update_time: 0.5330434442, other_time: 8.7695007324
epoch time: 43.6460380554s, input_fired_time: 0.8701362014, output_fired_time: 0.0000000000, propagate_forward_time: 41.0812072754, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6946945190
validation[          , genome 11731] predictions:    9889/  10000 (98.89%), best:    9896/10000 (98.96%), error:       388.16187, best error:       363.04565 on epoch:    67, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 473.1704406738s, input_fired_time: 7.1091761589, output_fired_time: 5.2855544090, propagate_forward_time: 183.5661315918, propagate_backward_time: 269.1836242676, weight_update_time: 0.5325079560, other_time: 8.0259704590
epoch time: 40.9860458374s, input_fired_time: 0.8161435723, output_fired_time: 0.0000000000, propagate_forward_time: 38.8190994263, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3508033752
validation[          , genome 11731] predictions:    9879/  10000 (98.79%), best:    9896/10000 (98.96%), error:       413.96017, best error:       363.04565 on epoch:    67, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 456.0504150391s, input_fired_time: 6.9273667336, output_fired_time: 5.1317691803, propagate_forward_time: 178.1100769043, propagate_backward_time: 258.0158386230, weight_update_time: 0.5157551765, other_time: 7.8653564453
epoch time: 40.8587150574s, input_fired_time: 0.8272807598, output_fired_time: 0.0000000000, propagate_forward_time: 38.5112190247, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5202140808
validation[          , genome 11731] predictions:    9888/  10000 (98.88%), best:    9896/10000 (98.96%), error:       389.00635, best error:       363.04565 on epoch:    67, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 533.7482910156s, input_fired_time: 7.5935497284, output_fired_time: 5.8693957329, propagate_forward_time: 204.2220153809, propagate_backward_time: 307.3276977539, weight_update_time: 0.5689668655, other_time: 8.7356262207
epoch time: 42.5746116638s, input_fired_time: 0.8391549587, output_fired_time: 0.0000000000, propagate_forward_time: 40.4065513611, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3289070129
validation[          , genome 11731] predictions:    9886/  10000 (98.86%), best:    9896/10000 (98.96%), error:       398.56882, best error:       363.04565 on epoch:    67, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 492.7449340820s, input_fired_time: 7.3155202866, output_fired_time: 5.4521179199, propagate_forward_time: 190.8743896484, propagate_backward_time: 280.6237487793, weight_update_time: 0.5423786044, other_time: 8.4791564941
epoch time: 41.8922309875s, input_fired_time: 0.8383606076, output_fired_time: 0.0000000000, propagate_forward_time: 39.5801925659, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4736785889
validation[          , genome 11731] predictions:    9889/  10000 (98.89%), best:    9896/10000 (98.96%), error:       393.99921, best error:       363.04565 on epoch:    67, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 553.3078002930s, input_fired_time: 7.8528442383, output_fired_time: 6.0926461220, propagate_forward_time: 211.2009887695, propagate_backward_time: 318.7507019043, weight_update_time: 0.5819508433, other_time: 9.4106140137
epoch time: 46.8175773621s, input_fired_time: 0.8822520375, output_fired_time: 0.0000000000, propagate_forward_time: 44.6236381531, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3116874695
validation[          , genome 11731] predictions:    9884/  10000 (98.84%), best:    9896/10000 (98.96%), error:       404.60742, best error:       363.04565 on epoch:    67, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 558.6442871094s, input_fired_time: 7.8719143867, output_fired_time: 6.1412086487, propagate_forward_time: 212.4589233398, propagate_backward_time: 323.0820007324, weight_update_time: 0.5863896608, other_time: 9.0902404785
epoch time: 46.6614112854s, input_fired_time: 0.9173900485, output_fired_time: 0.0000000000, propagate_forward_time: 43.9327926636, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8112297058
validation[          , genome 11731] predictions:    9882/  10000 (98.82%), best:    9896/10000 (98.96%), error:       408.34134, best error:       363.04565 on epoch:    67, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 556.0804443359s, input_fired_time: 7.8933010101, output_fired_time: 6.0956916809, propagate_forward_time: 211.2400207520, propagate_backward_time: 320.6554260254, weight_update_time: 0.5853934884, other_time: 10.1959838867
epoch time: 47.3013534546s, input_fired_time: 0.9004686475, output_fired_time: 0.0000000000, propagate_forward_time: 45.0194511414, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3814353943
validation[          , genome 11731] predictions:    9879/  10000 (98.79%), best:    9896/10000 (98.96%), error:       406.69449, best error:       363.04565 on epoch:    67, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 563.2480468750s, input_fired_time: 7.9118046761, output_fired_time: 6.2071313858, propagate_forward_time: 213.6646881104, propagate_backward_time: 326.0333251953, weight_update_time: 0.5894387364, other_time: 9.4310913086
epoch time: 46.4053344727s, input_fired_time: 0.8921736479, output_fired_time: 0.0000000000, propagate_forward_time: 43.9178924561, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5952682495
validation[          , genome 11731] predictions:    9891/  10000 (98.91%), best:    9896/10000 (98.96%), error:       402.04178, best error:       363.04565 on epoch:    67, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 561.4815063477s, input_fired_time: 7.8259811401, output_fired_time: 6.1427717209, propagate_forward_time: 213.4075927734, propagate_backward_time: 325.2490844727, weight_update_time: 0.5850082040, other_time: 8.8560791016
epoch time: 46.3763771057s, input_fired_time: 0.8895877004, output_fired_time: 0.0000000000, propagate_forward_time: 44.1359252930, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3508644104
validation[          , genome 11731] predictions:    9883/  10000 (98.83%), best:    9896/10000 (98.96%), error:       406.84915, best error:       363.04565 on epoch:    67, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 549.8330688477s, input_fired_time: 7.7345685959, output_fired_time: 6.0265164375, propagate_forward_time: 209.0412902832, propagate_backward_time: 317.7153930664, weight_update_time: 0.5787284970, other_time: 9.3153381348
epoch time: 45.8729591370s, input_fired_time: 0.8691469431, output_fired_time: 0.0000000000, propagate_forward_time: 43.6742477417, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3295631409
validation[          , genome 11731] predictions:    9883/  10000 (98.83%), best:    9896/10000 (98.96%), error:       399.79080, best error:       363.04565 on epoch:    67, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 548.0852050781s, input_fired_time: 7.7318210602, output_fired_time: 5.9879097939, propagate_forward_time: 209.3901062012, propagate_backward_time: 316.0466308594, weight_update_time: 0.5758309364, other_time: 8.9287414551
epoch time: 45.6011428833s, input_fired_time: 0.8691773415, output_fired_time: 0.0000000000, propagate_forward_time: 43.2741737366, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4577903748
validation[          , genome 11731] predictions:    9866/  10000 (98.66%), best:    9896/10000 (98.96%), error:       480.80670, best error:       363.04565 on epoch:    67, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 557.4515380859s, input_fired_time: 7.7746939659, output_fired_time: 6.0745501518, propagate_forward_time: 212.6955566406, propagate_backward_time: 322.8337097168, weight_update_time: 0.5836989880, other_time: 8.0730285645
epoch time: 45.2126579285s, input_fired_time: 0.8869494796, output_fired_time: 0.0000000000, propagate_forward_time: 42.5487976074, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7769126892
validation[          , genome 11731] predictions:    9884/  10000 (98.84%), best:    9896/10000 (98.96%), error:       407.54150, best error:       363.04565 on epoch:    67, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 564.1589355469s, input_fired_time: 7.9136180878, output_fired_time: 6.1020126343, propagate_forward_time: 214.3374633789, propagate_backward_time: 325.7105407715, weight_update_time: 0.5878022909, other_time: 10.0953063965
epoch time: 48.8502197266s, input_fired_time: 0.9762130380, output_fired_time: 0.0000000000, propagate_forward_time: 45.4147071838, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4593009949
validation[          , genome 11731] predictions:    9884/  10000 (98.84%), best:    9896/10000 (98.96%), error:       409.51031, best error:       363.04565 on epoch:    67, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 569.7359008789s, input_fired_time: 7.9665641785, output_fired_time: 6.2337522507, propagate_forward_time: 215.6716308594, propagate_backward_time: 330.3604125977, weight_update_time: 0.5932838321, other_time: 9.5035400391
epoch time: 46.4860801697s, input_fired_time: 0.8829517365, output_fired_time: 0.0000000000, propagate_forward_time: 44.2848777771, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3182487488
validation[          , genome 11731] predictions:    9891/  10000 (98.91%), best:    9896/10000 (98.96%), error:       405.48184, best error:       363.04565 on epoch:    67, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 557.2849731445s, input_fired_time: 7.8084683418, output_fired_time: 6.1140313148, propagate_forward_time: 212.4712066650, propagate_backward_time: 322.1843261719, weight_update_time: 0.5865393281, other_time: 8.7069702148
epoch time: 46.6507339478s, input_fired_time: 0.8916625381, output_fired_time: 0.0000000000, propagate_forward_time: 44.2434692383, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5156021118
validation[          , genome 11731] predictions:    9880/  10000 (98.80%), best:    9896/10000 (98.96%), error:       411.19659, best error:       363.04565 on epoch:    67, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 567.1427001953s, input_fired_time: 7.8803958893, output_fired_time: 6.1831974983, propagate_forward_time: 215.6402282715, propagate_backward_time: 328.5703430176, weight_update_time: 0.5916509032, other_time: 8.8685302734
epoch time: 47.1767044067s, input_fired_time: 0.9347075224, output_fired_time: 0.0000000000, propagate_forward_time: 44.2873878479, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9546089172
validation[          , genome 11731] predictions:    9880/  10000 (98.80%), best:    9896/10000 (98.96%), error:       395.98914, best error:       363.04565 on epoch:    67, epoch:  100/100, mu: 0.9870989323, learning_rate: 0.0000740065, weight_decay: 0.0000029603

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 235.2408752441s, input_fired_time: 4.6259422302, output_fired_time: 0.0000000000, propagate_forward_time: 221.3443450928, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.2705841064
best training[          , genome 11731] predictions:   49999/  50000 (100.00%), best:    9896/10000 (98.96%), error:       112.50089, best error:       363.04565 on epoch:    67, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 46.0522270203s, input_fired_time: 0.8976953626, output_fired_time: 0.0000000000, propagate_forward_time: 43.2661743164, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8883590698
   testing[          , genome 11731] predictions:    9892/  10000 (98.92%), best:    9896/10000 (98.96%), error:       367.12491, best error:       363.04565 on epoch:    67, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
04:05:55 (45380): called boinc_finish(0)

</stderr_txt>
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