Nameexact_genome_1542069603_185_5723_0
Workunit4084401
Created13 Nov 2018, 4:47:32 UTC
Sent13 Nov 2018, 5:06:07 UTC
Report deadline24 Jan 2019, 11:38:28 UTC
Received15 Nov 2018, 2:24:29 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID21895
Run time17 hours 52 min 35 sec
CPU time17 hours 18 min 31 sec
Validate stateValid
Credit18,068.12
Device peak FLOPS4.37 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size510.49 MB
Peak swap size508.82 MB
Peak disk usage9.00 MB

Stderr output

<core_client_version>7.6.22</core_client_version>
<![CDATA[
<stderr_txt>
backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3039245605
validation[          , genome  5723] predictions:    5527/  10000 (55.27%), best:    5619/10000 (56.19%), error:     13724.09082, best error:     13454.56250 on epoch:    27, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 574.7586669922s, input_fired_time: 5.2779512405, output_fired_time: 4.2138547897, propagate_forward_time: 204.4648742676, propagate_backward_time: 352.8837280273, weight_update_time: 0.8819766045, other_time: 7.9182434082
epoch time: 42.9940528870s, input_fired_time: 0.6251077056, output_fired_time: 0.0000000000, propagate_forward_time: 41.0472908020, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3216552734
validation[          , genome  5723] predictions:    5445/  10000 (54.45%), best:    5619/10000 (56.19%), error:     14037.34668, best error:     13454.56250 on epoch:    27, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 573.1826171875s, input_fired_time: 5.2540135384, output_fired_time: 4.1672015190, propagate_forward_time: 203.9614715576, propagate_backward_time: 351.8888854980, weight_update_time: 0.8808964491, other_time: 7.9110412598
epoch time: 42.7731170654s, input_fired_time: 0.6297945380, output_fired_time: 0.0000000000, propagate_forward_time: 40.8361854553, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3071365356
validation[          , genome  5723] predictions:    5638/  10000 (56.38%), best:    5638/10000 (56.38%), error:     13183.22168, best error:     13183.22168 on epoch:    30, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 572.6141357422s, input_fired_time: 5.2630047798, output_fired_time: 4.1750040054, propagate_forward_time: 203.4603576660, propagate_backward_time: 351.8217163086, weight_update_time: 0.8819674253, other_time: 7.8940734863
epoch time: 42.6331367493s, input_fired_time: 0.6304623485, output_fired_time: 0.0000000000, propagate_forward_time: 40.7077484131, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2949256897
validation[          , genome  5723] predictions:    5679/  10000 (56.79%), best:    5638/10000 (56.38%), error:     13327.66211, best error:     13183.22168 on epoch:    30, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 576.4624633789s, input_fired_time: 5.2902584076, output_fired_time: 4.1902790070, propagate_forward_time: 205.1650543213, propagate_backward_time: 353.8938598633, weight_update_time: 0.8768164515, other_time: 7.9229736328
epoch time: 43.9887962341s, input_fired_time: 0.6396795511, output_fired_time: 0.0000000000, propagate_forward_time: 42.0156402588, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3334770203
validation[          , genome  5723] predictions:    5613/  10000 (56.13%), best:    5638/10000 (56.38%), error:     13346.88965, best error:     13183.22168 on epoch:    30, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 605.7312622070s, input_fired_time: 5.4033341408, output_fired_time: 4.3129777908, propagate_forward_time: 218.8854980469, propagate_backward_time: 368.8595581055, weight_update_time: 0.9032558799, other_time: 8.2698974609
epoch time: 42.4174156189s, input_fired_time: 0.6230367422, output_fired_time: 0.0000000000, propagate_forward_time: 40.5011825562, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2931976318
validation[          , genome  5723] predictions:    5640/  10000 (56.40%), best:    5638/10000 (56.38%), error:     13304.02930, best error:     13183.22168 on epoch:    30, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 575.8133544922s, input_fired_time: 5.3899402618, output_fired_time: 4.2604951859, propagate_forward_time: 204.4633636475, propagate_backward_time: 353.7060852051, weight_update_time: 0.8755613565, other_time: 7.9934387207
epoch time: 42.8281707764s, input_fired_time: 0.6326773763, output_fired_time: 0.0000000000, propagate_forward_time: 40.8829460144, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3125457764
validation[          , genome  5723] predictions:    5600/  10000 (56.00%), best:    5638/10000 (56.38%), error:     13235.05566, best error:     13183.22168 on epoch:    30, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 572.2378540039s, input_fired_time: 5.3049144745, output_fired_time: 4.1911644936, propagate_forward_time: 203.4945373535, propagate_backward_time: 351.3282165527, weight_update_time: 0.8761469126, other_time: 7.9190063477
epoch time: 42.6644592285s, input_fired_time: 0.6410550475, output_fired_time: 0.0000000000, propagate_forward_time: 40.7159042358, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3074989319
validation[          , genome  5723] predictions:    5780/  10000 (57.80%), best:    5780/10000 (57.80%), error:     12909.91016, best error:     12909.91016 on epoch:    35, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 579.5737304688s, input_fired_time: 5.3374714851, output_fired_time: 4.1731643677, propagate_forward_time: 205.4250183105, propagate_backward_time: 356.6891784668, weight_update_time: 0.8757162094, other_time: 7.9489135742
epoch time: 42.4732437134s, input_fired_time: 0.6296724677, output_fired_time: 0.0000000000, propagate_forward_time: 40.5454368591, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2981338501
validation[          , genome  5723] predictions:    5691/  10000 (56.91%), best:    5780/10000 (57.80%), error:     13414.85645, best error:     12909.91016 on epoch:    35, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 574.2833862305s, input_fired_time: 5.3070249557, output_fired_time: 4.1672673225, propagate_forward_time: 203.8579711914, propagate_backward_time: 353.0449523926, weight_update_time: 0.8728502989, other_time: 7.9061584473
epoch time: 42.9910964966s, input_fired_time: 0.6318769455, output_fired_time: 0.0000000000, propagate_forward_time: 41.0455017090, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3137168884
validation[          , genome  5723] predictions:    5659/  10000 (56.59%), best:    5780/10000 (57.80%), error:     13190.94238, best error:     12909.91016 on epoch:    35, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 572.7901611328s, input_fired_time: 5.3026165962, output_fired_time: 4.1776089668, propagate_forward_time: 203.6298065186, propagate_backward_time: 351.8193969727, weight_update_time: 0.8734751940, other_time: 7.8607177734
epoch time: 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_1542069603_185_5723.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542069603_185_5723_0_r460231882_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: 35
read number_validation_images: 10000
read best_validation_predictions: 5780
read best_validation_error: 12909.9
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: 5723
read normal distribution: '1 -1.00712525844574 -1.74667119979858'
generator_str: '846476809'
read generator: 846476809
read generated_by_map:
1 split_node 1
reading 66 nodes.
reading 262 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: 902.080749511719s, input_fired_time: 5.85714626312256, output_fired_time: 4.5931921005249, propagate_forward_time: 244.597152709961, propagate_backward_time: 638.376525878906, weight_update_time: 0.942164301872253, other_time: 8.65673828125
epoch time: 43.1796455383301s, input_fired_time: 0.627565503120422, output_fired_time: 0, propagate_forward_time: 41.2375526428223, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.31452560424805
validation[          , genome  5723] predictions:    5658/  10000 (56.58%), best:    5780/10000 (57.80%), error:     13313.05273, best error:     12909.91016 on epoch:    35, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 571.5686645508s, input_fired_time: 5.3041162491, output_fired_time: 4.1465897560, propagate_forward_time: 203.0945281982, propagate_backward_time: 351.1290283203, weight_update_time: 0.8740832806, other_time: 7.8943481445
epoch time: 42.8475456238s, input_fired_time: 0.6367644072, output_fired_time: 0.0000000000, propagate_forward_time: 40.8880386353, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3227424622
validation[          , genome  5723] predictions:    5762/  10000 (57.62%), best:    5780/10000 (57.80%), error:     13148.26758, best error:     12909.91016 on epoch:    35, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 570.2387695313s, input_fired_time: 5.2927966118, output_fired_time: 4.1406865120, propagate_forward_time: 202.8382720947, propagate_backward_time: 350.1407775879, weight_update_time: 0.8739352822, other_time: 7.8262634277
epoch time: 42.3805694580s, input_fired_time: 0.6262145042, output_fired_time: 0.0000000000, propagate_forward_time: 40.4551849365, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2991714478
validation[          , genome  5723] predictions:    5659/  10000 (56.59%), best:    5780/10000 (57.80%), error:     13117.16406, best error:     12909.91016 on epoch:    35, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 570.5568237305s, input_fired_time: 5.2914819717, output_fired_time: 4.1442093849, propagate_forward_time: 202.8064880371, propagate_backward_time: 350.4613342285, weight_update_time: 0.8692468405, other_time: 7.8532714844
epoch time: 42.4487152100s, input_fired_time: 0.6325570941, output_fired_time: 0.0000000000, propagate_forward_time: 40.5172882080, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2988700867
validation[          , genome  5723] predictions:    5669/  10000 (56.69%), best:    5780/10000 (57.80%), error:     13340.25684, best error:     12909.91016 on epoch:    35, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 577.8561401367s, input_fired_time: 5.3852200508, output_fired_time: 4.2021794319, propagate_forward_time: 205.1567077637, propagate_backward_time: 355.1203002930, weight_update_time: 0.8814449906, other_time: 7.9917297363
epoch time: 42.4407386780s, input_fired_time: 0.6338223219, output_fired_time: 0.0000000000, propagate_forward_time: 40.5119285583, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2949867249
validation[          , genome  5723] predictions:    5817/  10000 (58.17%), best:    5780/10000 (57.80%), error:     12910.08398, best error:     12909.91016 on epoch:    35, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 573.6463623047s, input_fired_time: 5.3188276291, output_fired_time: 4.1553430557, propagate_forward_time: 203.7975769043, propagate_backward_time: 352.4786682129, weight_update_time: 0.8743000627, other_time: 7.8959350586
epoch time: 42.4126205444s, input_fired_time: 0.6295731664, output_fired_time: 0.0000000000, propagate_forward_time: 40.4822082520, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3008384705
validation[          , genome  5723] predictions:    5715/  10000 (57.15%), best:    5780/10000 (57.80%), error:     13153.33203, best error:     12909.91016 on epoch:    35, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 570.8363037109s, input_fired_time: 5.3377218246, output_fired_time: 4.1697478294, propagate_forward_time: 203.0737152100, propagate_backward_time: 350.4104309082, weight_update_time: 0.8687065244, other_time: 7.8446960449
epoch time: 42.6531219482s, input_fired_time: 0.6387463212, output_fired_time: 0.0000000000, propagate_forward_time: 40.7037391663, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3106346130
validation[          , genome  5723] predictions:    5844/  10000 (58.44%), best:    5844/10000 (58.44%), error:     12662.89551, best error:     12662.89551 on epoch:    44, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1053.6284179688s, input_fired_time: 6.0965666771, output_fired_time: 4.6216897964, propagate_forward_time: 337.5825195313, propagate_backward_time: 696.7271728516, weight_update_time: 0.9372943640, other_time: 8.6004638672
epoch time: 279.5793762207s, input_fired_time: 0.8160284162, output_fired_time: 0.0000000000, propagate_forward_time: 204.9635925293, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 73.7997436523
validation[          , genome  5723] predictions:    5725/  10000 (57.25%), best:    5844/10000 (58.44%), error:     13226.65918, best error:     12662.89551 on epoch:    44, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 697.3791503906s, input_fired_time: 5.4231443405, output_fired_time: 4.2139992714, propagate_forward_time: 230.8930664063, propagate_backward_time: 448.8301086426, weight_update_time: 0.8913845420, other_time: 8.0188293457
epoch time: 42.4830055237s, input_fired_time: 0.6353977323, output_fired_time: 0.0000000000, propagate_forward_time: 40.5484313965, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2991752625
validation[          , genome  5723] predictions:    5896/  10000 (58.96%), best:    5896/10000 (58.96%), error:     12480.80957, best error:     12480.80957 on epoch:    46, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 572.0465698242s, input_fired_time: 5.3503818512, output_fired_time: 4.1405758858, propagate_forward_time: 203.6062927246, propagate_backward_time: 351.0243835449, weight_update_time: 0.8722757101, other_time: 7.9249267578
epoch time: 42.4348907471s, input_fired_time: 0.6362301111, output_fired_time: 0.0000000000, propagate_forward_time: 40.5025177002, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2961425781
validation[          , genome  5723] predictions:    5835/  10000 (58.35%), best:    5896/10000 (58.96%), error:     12517.66211, best error:     12480.80957 on epoch:    46, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 569.9974975586s, input_fired_time: 5.3343043327, output_fired_time: 4.1377182007, propagate_forward_time: 202.8712463379, propagate_backward_time: 349.7957763672, weight_update_time: 0.8778111339, other_time: 7.8584899902
epoch time: 42.4059448242s, input_fired_time: 0.6349413395, output_fired_time: 0.0000000000, propagate_forward_time: 40.4670372009, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3039665222
validation[          , genome  5723] predictions:    5770/  10000 (57.70%), best:    5896/10000 (58.96%), error:     12812.84082, best error:     12480.80957 on epoch:    46, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 569.8348999023s, input_fired_time: 5.3280777931, output_fired_time: 4.1412415504, propagate_forward_time: 202.5877075195, propagate_backward_time: 349.9218750000, weight_update_time: 0.8692269921, other_time: 7.8560180664
epoch time: 42.4055595398s, input_fired_time: 0.6361377835, output_fired_time: 0.0000000000, propagate_forward_time: 40.4681434631, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3012771606
validation[          , genome  5723] predictions:    5733/  10000 (57.33%), best:    5896/10000 (58.96%), error:     12992.70898, best error:     12480.80957 on epoch:    46, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

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_1542069603_185_5723.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542069603_185_5723_0_r460231882_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: 0.952297
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000961811
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.84725e-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: 50
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 46
read number_validation_images: 10000
read best_validation_predictions: 5896
read best_validation_error: 12480.8
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: 5723
read normal distribution: '1 -1.00712525844574 -1.74667119979858'
generator_str: '2063132189'
read generator: 2063132189
read generated_by_map:
1 split_node 1
reading 66 nodes.
reading 262 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: 1012.75225830078s, input_fired_time: 5.95028495788574, output_fired_time: 4.5721583366394, propagate_forward_time: 316.036895751953, propagate_backward_time: 677.592102050781, weight_update_time: 0.9373899102211, other_time: 8.60089111328125
epoch time: 43.1311950683594s, input_fired_time: 0.642960786819458, output_fired_time: 0, propagate_forward_time: 41.1349411010742, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.35329437255859
validation[          , genome  5723] predictions:    5903/  10000 (59.03%), best:    5896/10000 (58.96%), error:     12565.02344, best error:     12480.80957 on epoch:    46, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 578.0875244141s, input_fired_time: 5.4097690582, output_fired_time: 4.2145357132, propagate_forward_time: 205.5629577637, propagate_backward_time: 354.8632202148, weight_update_time: 0.8887990117, other_time: 8.0370178223
epoch time: 42.4439048767s, input_fired_time: 0.6425384879, output_fired_time: 0.0000000000, propagate_forward_time: 40.5028572083, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2985076904
validation[          , genome  5723] predictions:    5887/  10000 (58.87%), best:    5887/10000 (58.87%), error:     12461.69531, best error:     12461.69531 on epoch:    51, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 581.9500122070s, input_fired_time: 5.3669524193, output_fired_time: 4.1474785805, propagate_forward_time: 213.7238311768, propagate_backward_time: 350.7922058105, weight_update_time: 0.8728844523, other_time: 7.9195861816
epoch time: 43.5850715637s, input_fired_time: 0.6634162068, output_fired_time: 0.0000000000, propagate_forward_time: 41.5929222107, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3287315369
validation[          , genome  5723] predictions:    5824/  10000 (58.24%), best:    5887/10000 (58.87%), error:     12934.60938, best error:     12461.69531 on epoch:    51, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 573.0628051758s, input_fired_time: 5.3918714523, output_fired_time: 4.1708102226, propagate_forward_time: 203.9821319580, propagate_backward_time: 351.6341552734, weight_update_time: 0.8695571423, other_time: 7.8838500977
epoch time: 43.6169013977s, input_fired_time: 0.6598181129, output_fired_time: 0.0000000000, propagate_forward_time: 41.6495971680, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3074874878
validation[          , genome  5723] predictions:    5785/  10000 (57.85%), best:    5887/10000 (58.87%), error:     12716.62109, best error:     12461.69531 on epoch:    51, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 696.2490234375s, input_fired_time: 5.8216009140, output_fired_time: 4.6808485985, propagate_forward_time: 241.2091369629, propagate_backward_time: 435.7090148926, weight_update_time: 0.9340283275, other_time: 8.8284301758
epoch time: 43.8709526062s, input_fired_time: 0.6867740750, output_fired_time: 0.0000000000, propagate_forward_time: 41.8046226501, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3795547485
validation[          , genome  5723] predictions:    5885/  10000 (58.85%), best:    5885/10000 (58.85%), error:     12457.82227, best error:     12457.82227 on epoch:    54, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 573.6121826172s, input_fired_time: 5.3986377716, output_fired_time: 4.1601514816, propagate_forward_time: 203.9544982910, propagate_backward_time: 352.1521301270, weight_update_time: 0.8749595881, other_time: 7.9467773438
epoch time: 42.3517532349s, input_fired_time: 0.6426956058, output_fired_time: 0.0000000000, propagate_forward_time: 40.4096603394, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2993965149
validation[          , genome  5723] predictions:    5997/  10000 (59.97%), best:    5997/10000 (59.97%), error:     12288.43750, best error:     12288.43750 on epoch:    55, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 574.3049926758s, input_fired_time: 5.3925428391, output_fired_time: 4.1809344292, propagate_forward_time: 204.1873168945, propagate_backward_time: 352.5575256348, weight_update_time: 0.8865004778, other_time: 7.9867248535
epoch time: 43.1066741943s, input_fired_time: 0.6548288465, output_fired_time: 0.0000000000, propagate_forward_time: 41.1366539001, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3151931763
validation[          , genome  5723] predictions:    5913/  10000 (59.13%), best:    5997/10000 (59.97%), error:     12460.45898, best error:     12288.43750 on epoch:    55, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 577.2377929688s, input_fired_time: 5.3946595192, output_fired_time: 4.2383971214, propagate_forward_time: 205.2180938721, propagate_backward_time: 354.3391723633, weight_update_time: 0.8802313209, other_time: 8.0474853516
epoch time: 43.1912841797s, input_fired_time: 0.6464789510, output_fired_time: 0.0000000000, propagate_forward_time: 41.2383918762, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3064117432
validation[          , genome  5723] predictions:    5949/  10000 (59.49%), best:    5997/10000 (59.97%), error:     12329.93750, best error:     12288.43750 on epoch:    55, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 574.0600585938s, input_fired_time: 5.4044995308, output_fired_time: 4.2490310669, propagate_forward_time: 204.2166900635, propagate_backward_time: 352.2563476563, weight_update_time: 0.8745444417, other_time: 7.9335327148
epoch time: 42.4554061890s, input_fired_time: 0.6446678638, output_fired_time: 0.0000000000, propagate_forward_time: 40.5066986084, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3040390015
validation[          , genome  5723] predictions:    5959/  10000 (59.59%), best:    5959/10000 (59.59%), error:     12127.85156, best error:     12127.85156 on epoch:    58, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 585.0336914063s, input_fired_time: 5.4952721596, output_fired_time: 4.3293685913, propagate_forward_time: 207.6251068115, propagate_backward_time: 359.5377807617, weight_update_time: 0.8825917840, other_time: 8.0461425781
epoch time: 44.7871017456s, input_fired_time: 0.7915740013, output_fired_time: 0.0000000000, propagate_forward_time: 42.6121635437, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3833656311
validation[          , genome  5723] predictions:    5972/  10000 (59.72%), best:    5959/10000 (59.59%), error:     12448.08301, best error:     12127.85156 on epoch:    58, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 573.4308471680s, input_fired_time: 5.3988523483, output_fired_time: 4.1641459465, propagate_forward_time: 203.7755126953, propagate_backward_time: 352.1631469727, weight_update_time: 0.8736129999, other_time: 7.9291992188
epoch time: 42.4731178284s, input_fired_time: 0.6525490880, output_fired_time: 0.0000000000, propagate_forward_time: 40.5172080994, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3033599854
validation[          , genome  5723] predictions:    5906/  10000 (59.06%), best:    5959/10000 (59.59%), error:     12429.63086, best error:     12127.85156 on epoch:    58, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 585.0269165039s, input_fired_time: 5.4233331680, output_fired_time: 4.1858344078, propagate_forward_time: 204.3485260010, propagate_backward_time: 363.0109252930, weight_update_time: 0.8816207051, other_time: 8.0582885742
epoch time: 42.6073570251s, input_fired_time: 0.6540710926, output_fired_time: 0.0000000000, propagate_forward_time: 40.6312065125, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3220787048
validation[          , genome  5723] predictions:    5920/  10000 (59.20%), best:    5959/10000 (59.59%), error:     12319.58594, best error:     12127.85156 on epoch:    58, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 575.6190795898s, input_fired_time: 5.4286704063, output_fired_time: 4.1899981499, propagate_forward_time: 204.4789276123, propagate_backward_time: 353.5264587402, weight_update_time: 0.8782059550, other_time: 7.9950256348
epoch time: 42.7878913879s, input_fired_time: 0.6554353833, output_fired_time: 0.0000000000, propagate_forward_time: 40.8215065002, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3109512329
validation[          , genome  5723] predictions:    5875/  10000 (58.75%), best:    5959/10000 (59.59%), error:     12381.28027, best error:     12127.85156 on epoch:    58, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 583.2186889648s, input_fired_time: 5.4825701714, output_fired_time: 4.2463603020, propagate_forward_time: 207.8338775635, propagate_backward_time: 357.6234741211, weight_update_time: 0.8878279924, other_time: 8.0324707031
epoch time: 42.5151062012s, input_fired_time: 0.6477537751, output_fired_time: 0.0000000000, propagate_forward_time: 40.5547943115, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3125572205
validation[          , genome  5723] predictions:    5790/  10000 (57.90%), best:    5959/10000 (59.59%), error:     12797.68262, best error:     12127.85156 on epoch:    58, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 572.0445556641s, input_fired_time: 5.4104552269, output_fired_time: 4.1576371193, propagate_forward_time: 203.2511138916, propagate_backward_time: 351.3079833984, weight_update_time: 0.8795931935, other_time: 7.9173583984
epoch time: 42.8897895813s, input_fired_time: 0.6569038630, output_fired_time: 0.0000000000, propagate_forward_time: 40.9298324585, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3030548096
validation[          , genome  5723] predictions:    6010/  10000 (60.10%), best:    6010/10000 (60.10%), error:     12045.69336, best error:     12045.69336 on epoch:    64, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 581.0730590820s, input_fired_time: 5.4590373039, output_fired_time: 4.2288875580, propagate_forward_time: 206.0604400635, propagate_backward_time: 357.3419799805, weight_update_time: 0.8869896531, other_time: 7.9827270508
epoch time: 42.9766693115s, input_fired_time: 0.6575139165, output_fired_time: 0.0000000000, propagate_forward_time: 41.0044097900, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3147468567
validation[          , genome  5723] predictions:    5973/  10000 (59.73%), best:    6010/10000 (60.10%), error:     12180.44141, best error:     12045.69336 on epoch:    64, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 596.5170898438s, input_fired_time: 5.4607410431, output_fired_time: 4.1938905716, propagate_forward_time: 215.2970581055, propagate_backward_time: 363.5659790039, weight_update_time: 0.8744224310, other_time: 7.9993896484
epoch time: 42.6620216370s, input_fired_time: 0.6617197990, output_fired_time: 0.0000000000, propagate_forward_time: 40.6919212341, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3083801270
validation[          , genome  5723] predictions:    6048/  10000 (60.48%), best:    6010/10000 (60.10%), error:     12115.49805, best error:     12045.69336 on epoch:    64, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 573.9789428711s, input_fired_time: 5.4383211136, output_fired_time: 4.1848220825, propagate_forward_time: 203.9152069092, propagate_backward_time: 352.4844665527, weight_update_time: 0.8748689890, other_time: 7.9561462402
epoch time: 42.8414268494s, input_fired_time: 0.6646294594, output_fired_time: 0.0000000000, propagate_forward_time: 40.8536605835, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3231353760
validation[          , genome  5723] predictions:    5956/  10000 (59.56%), best:    6010/10000 (60.10%), error:     12151.33691, best error:     12045.69336 on epoch:    64, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 574.9216918945s, input_fired_time: 5.4609198570, output_fired_time: 4.1820740700, propagate_forward_time: 203.9589385986, propagate_backward_time: 353.3760986328, weight_update_time: 0.8756217957, other_time: 7.9436645508
epoch time: 42.8999137878s, input_fired_time: 0.6644597054, output_fired_time: 0.0000000000, propagate_forward_time: 40.9109954834, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3244590759
validation[          , genome  5723] predictions:    6019/  10000 (60.19%), best:    6010/10000 (60.10%), error:     12333.44238, best error:     12045.69336 on epoch:    64, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 592.0179443359s, input_fired_time: 5.4862527847, output_fired_time: 4.1963739395, propagate_forward_time: 205.9846038818, propagate_backward_time: 368.2719726563, weight_update_time: 0.8936187029, other_time: 8.0787353516
epoch time: 54.5618133545s, input_fired_time: 0.8232256174, output_fired_time: 0.0000000000, propagate_forward_time: 52.1107254028, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6278610229
validation[          , genome  5723] predictions:    6009/  10000 (60.09%), best:    6010/10000 (60.10%), error:     12107.20996, best error:     12045.69336 on epoch:    64, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 859.3457031250s, input_fired_time: 6.0885486603, output_fired_time: 7.4945855141, propagate_forward_time: 318.3009033203, propagate_backward_time: 518.6444091797, weight_update_time: 0.9690884352, other_time: 8.8172607422
epoch time: 43.5014953613s, input_fired_time: 0.6684481502, output_fired_time: 0.0000000000, propagate_forward_time: 41.5172538757, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3157920837
validation[          , genome  5723] predictions:    6048/  10000 (60.48%), best:    6048/10000 (60.48%), error:     12030.83887, best error:     12030.83887 on epoch:    70, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 573.7888183594s, input_fired_time: 5.4374952316, output_fired_time: 4.1700577736, propagate_forward_time: 203.8399200439, propagate_backward_time: 352.3968505859, weight_update_time: 0.8728029728, other_time: 7.9445190430
epoch time: 43.0720672607s, input_fired_time: 0.6714760661, output_fired_time: 0.0000000000, propagate_forward_time: 41.0855865479, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3150062561
validation[          , genome  5723] predictions:    5987/  10000 (59.87%), best:    6048/10000 (60.48%), error:     12118.02734, best error:     12030.83887 on epoch:    70, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 574.4253540039s, input_fired_time: 5.4555764198, output_fired_time: 4.1800332069, propagate_forward_time: 203.8233184814, propagate_backward_time: 353.0060119629, weight_update_time: 0.8863152266, other_time: 7.9604187012
epoch time: 43.2667770386s, input_fired_time: 0.6689146757, output_fired_time: 0.0000000000, propagate_forward_time: 41.2756195068, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3222427368
validation[          , genome  5723] predictions:    6074/  10000 (60.74%), best:    6074/10000 (60.74%), error:     12019.33691, best error:     12019.33691 on epoch:    72, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 923.6667480469s, input_fired_time: 5.7184977531, output_fired_time: 4.5638341904, propagate_forward_time: 353.2486572266, propagate_backward_time: 551.9437866211, weight_update_time: 0.8879078031, other_time: 8.1919555664
epoch time: 42.8267059326s, input_fired_time: 0.6683394909, output_fired_time: 0.0000000000, propagate_forward_time: 40.8182296753, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3401374817
validation[          , genome  5723] predictions:    6006/  10000 (60.06%), best:    6074/10000 (60.74%), error:     12108.96582, best error:     12019.33691 on epoch:    72, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 620.8745117188s, input_fired_time: 5.8893284798, output_fired_time: 4.4347543716, propagate_forward_time: 216.6847686768, propagate_backward_time: 375.1564636230, weight_update_time: 0.9050802588, other_time: 18.7091979980
epoch time: 43.0489273071s, input_fired_time: 0.6629415751, output_fired_time: 0.0000000000, propagate_forward_time: 41.0581169128, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3278694153
validation[          , genome  5723] predictions:    5997/  10000 (59.97%), best:    6074/10000 (60.74%), error:     12191.16016, best error:     12019.33691 on epoch:    72, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 591.6572265625s, input_fired_time: 5.5093345642, output_fired_time: 4.2440524101, propagate_forward_time: 206.4898223877, propagate_backward_time: 367.3655395508, weight_update_time: 0.8855519891, other_time: 8.0484619141
epoch time: 43.3063392639s, input_fired_time: 0.6701899767, output_fired_time: 0.0000000000, propagate_forward_time: 41.2999458313, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3362045288
validation[          , genome  5723] predictions:    6110/  10000 (61.10%), best:    6110/10000 (61.10%), error:     11894.32813, best error:     11894.32813 on epoch:    75, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 608.8098754883s, input_fired_time: 5.6575727463, output_fired_time: 4.2508716583, propagate_forward_time: 213.3821411133, propagate_backward_time: 376.9689941406, weight_update_time: 0.8946776390, other_time: 8.5502929688
epoch time: 49.8431587219s, input_fired_time: 0.9360093474, output_fired_time: 0.0000000000, propagate_forward_time: 47.1776924133, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7294578552
validation[          , genome  5723] predictions:    6023/  10000 (60.23%), best:    6110/10000 (61.10%), error:     12007.56738, best error:     11894.32813 on epoch:    75, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 621.3441162109s, input_fired_time: 15.8410634995, output_fired_time: 4.3055028915, propagate_forward_time: 209.5112304688, propagate_backward_time: 383.5043640137, weight_update_time: 0.9141636491, other_time: 8.1819763184
epoch time: 43.2267227173s, input_fired_time: 0.6830151677, output_fired_time: 0.0000000000, propagate_forward_time: 41.2093963623, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3343124390
validation[          , genome  5723] predictions:    5971/  10000 (59.71%), best:    6110/10000 (61.10%), error:     12298.59277, best error:     11894.32813 on epoch:    75, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 615.7521972656s, input_fired_time: 5.7500686646, output_fired_time: 4.4347338676, propagate_forward_time: 221.2758026123, propagate_backward_time: 376.0832214355, weight_update_time: 0.8946449161, other_time: 8.2083435059
epoch time: 49.5251579285s, input_fired_time: 0.7501735091, output_fired_time: 0.0000000000, propagate_forward_time: 47.2654418945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5095443726
validation[          , genome  5723] predictions:    6104/  10000 (61.04%), best:    6110/10000 (61.10%), error:     12018.54785, best error:     11894.32813 on epoch:    75, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 629.9765014648s, input_fired_time: 5.8335843086, output_fired_time: 4.4619278908, propagate_forward_time: 226.4139251709, propagate_backward_time: 384.8138732910, weight_update_time: 0.9257354140, other_time: 8.4532165527
epoch time: 43.4977340698s, input_fired_time: 0.6811880469, output_fired_time: 0.0000000000, propagate_forward_time: 41.4813728333, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3351745605
validation[          , genome  5723] predictions:    6071/  10000 (60.71%), best:    6110/10000 (61.10%), error:     12037.90332, best error:     11894.32813 on epoch:    75, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 605.3255004883s, input_fired_time: 5.7629685402, output_fired_time: 4.3651189804, propagate_forward_time: 214.7843627930, propagate_backward_time: 372.0060424805, weight_update_time: 0.9215826392, other_time: 8.4070434570
epoch time: 47.2694396973s, input_fired_time: 0.7706558704, output_fired_time: 0.0000000000, propagate_forward_time: 45.0603179932, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4384651184
validation[          , genome  5723] predictions:    6035/  10000 (60.35%), best:    6110/10000 (61.10%), error:     12003.00391, best error:     11894.32813 on epoch:    75, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 596.1743774414s, input_fired_time: 5.5909156799, output_fired_time: 4.2795310020, propagate_forward_time: 208.4701538086, propagate_backward_time: 369.6474609375, weight_update_time: 0.8933351040, other_time: 8.1862792969
epoch time: 48.2745323181s, input_fired_time: 0.9503763318, output_fired_time: 0.0000000000, propagate_forward_time: 45.9173660278, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4067916870
validation[          , genome  5723] predictions:    5999/  10000 (59.99%), best:    6110/10000 (61.10%), error:     12183.08887, best error:     11894.32813 on epoch:    75, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 607.6767578125s, input_fired_time: 5.7393126488, output_fired_time: 4.3090181351, propagate_forward_time: 211.8612518311, propagate_backward_time: 377.4598083496, weight_update_time: 0.9511318207, other_time: 8.3073425293
epoch time: 43.3381690979s, input_fired_time: 0.6710011363, output_fired_time: 0.0000000000, propagate_forward_time: 41.3201484680, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3470191956
validation[          , genome  5723] predictions:    6002/  10000 (60.02%), best:    6110/10000 (61.10%), error:     12132.18457, best error:     11894.32813 on epoch:    75, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 580.8676147461s, input_fired_time: 5.5695567131, output_fired_time: 4.2655520439, propagate_forward_time: 206.4899902344, propagate_backward_time: 356.4616394043, weight_update_time: 0.8841356635, other_time: 8.0808410645
epoch time: 44.0866012573s, input_fired_time: 0.6822586656, output_fired_time: 0.0000000000, propagate_forward_time: 41.9677276611, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4366149902
validation[          , genome  5723] predictions:    5982/  10000 (59.82%), best:    6110/10000 (61.10%), error:     12046.23145, best error:     11894.32813 on epoch:    75, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 594.1759643555s, input_fired_time: 5.5654344559, output_fired_time: 4.3186993599, propagate_forward_time: 207.7859191895, propagate_backward_time: 368.4425354004, weight_update_time: 0.9097774625, other_time: 8.0633544922
epoch time: 43.0971565247s, input_fired_time: 0.6707772017, output_fired_time: 0.0000000000, propagate_forward_time: 41.1080627441, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3183174133
validation[          , genome  5723] predictions:    6007/  10000 (60.07%), best:    6110/10000 (61.10%), error:     12251.23242, best error:     11894.32813 on epoch:    75, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 581.0054321289s, input_fired_time: 5.5499811172, output_fired_time: 4.2371392250, propagate_forward_time: 206.2942352295, propagate_backward_time: 356.8610229492, weight_update_time: 0.8855903149, other_time: 8.0630493164
epoch time: 48.0411186218s, input_fired_time: 0.7378116250, output_fired_time: 0.0000000000, propagate_forward_time: 45.8533668518, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4499397278
validation[          , genome  5723] predictions:    6133/  10000 (61.33%), best:    6110/10000 (61.10%), error:     11896.98047, best error:     11894.32813 on epoch:    75, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 588.8036499023s, input_fired_time: 5.6437807083, output_fired_time: 4.2575278282, propagate_forward_time: 208.8796997070, propagate_backward_time: 361.8527526855, weight_update_time: 0.9014246464, other_time: 8.1698913574
epoch time: 43.9396438599s, input_fired_time: 0.6832011342, output_fired_time: 0.0000000000, propagate_forward_time: 41.9216232300, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3348197937
validation[          , genome  5723] predictions:    6105/  10000 (61.05%), best:    6110/10000 (61.10%), error:     12013.96777, best error:     11894.32813 on epoch:    75, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 582.7593383789s, input_fired_time: 5.5465078354, output_fired_time: 4.2319207191, propagate_forward_time: 206.8896026611, propagate_backward_time: 358.0433044434, weight_update_time: 0.8815539479, other_time: 8.0480041504
epoch time: 42.9879493713s, input_fired_time: 0.6776881814, output_fired_time: 0.0000000000, propagate_forward_time: 40.9904747009, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3197860718
validation[          , genome  5723] predictions:    6092/  10000 (60.92%), best:    6092/10000 (60.92%), error:     11880.12891, best error:     11880.12891 on epoch:    87, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 624.8129272461s, input_fired_time: 5.7214274406, output_fired_time: 4.2703876495, propagate_forward_time: 221.9069824219, propagate_backward_time: 384.7828369141, weight_update_time: 0.8979600072, other_time: 8.1312866211
epoch time: 43.0713844299s, input_fired_time: 0.6788971424, output_fired_time: 0.0000000000, propagate_forward_time: 41.0269393921, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3655471802
validation[          , genome  5723] predictions:    6076/  10000 (60.76%), best:    6092/10000 (60.92%), error:     12063.73047, best error:     11880.12891 on epoch:    87, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 642.3303222656s, input_fired_time: 6.0249371529, output_fired_time: 4.2999296188, propagate_forward_time: 208.7468872070, propagate_backward_time: 414.7286376953, weight_update_time: 0.8999746442, other_time: 8.5299072266
epoch time: 43.5089378357s, input_fired_time: 0.6811716557, output_fired_time: 0.0000000000, propagate_forward_time: 41.4764175415, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3513488770
validation[          , genome  5723] predictions:    6090/  10000 (60.90%), best:    6090/10000 (60.90%), error:     11872.55469, best error:     11872.55469 on epoch:    89, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 662.5495605469s, input_fired_time: 5.6330232620, output_fired_time: 4.2690038681, propagate_forward_time: 251.1062622070, propagate_backward_time: 393.2547607422, weight_update_time: 0.9250398874, other_time: 8.2865600586
epoch time: 44.5314254761s, input_fired_time: 0.7082454562, output_fired_time: 0.0000000000, propagate_forward_time: 42.3721427917, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4510383606
validation[          , genome  5723] predictions:    6073/  10000 (60.73%), best:    6090/10000 (60.90%), error:     11999.55469, best error:     11872.55469 on epoch:    89, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 637.8148803711s, input_fired_time: 5.6923842430, output_fired_time: 4.6777005196, propagate_forward_time: 221.0720062256, propagate_backward_time: 398.1540832520, weight_update_time: 0.8987664580, other_time: 8.2187194824
epoch time: 45.2394866943s, input_fired_time: 0.7642265558, output_fired_time: 0.0000000000, propagate_forward_time: 43.1206779480, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3545837402
validation[          , genome  5723] predictions:    6154/  10000 (61.54%), best:    6154/10000 (61.54%), error:     11830.76465, best error:     11830.76465 on epoch:    91, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 580.6577758789s, input_fired_time: 5.5359559059, output_fired_time: 4.2189421654, propagate_forward_time: 206.2143402100, propagate_backward_time: 356.7103271484, weight_update_time: 0.8930140734, other_time: 7.9782104492
epoch time: 43.1645355225s, input_fired_time: 0.6847540140, output_fired_time: 0.0000000000, propagate_forward_time: 41.1390037537, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3407783508
validation[          , genome  5723] predictions:    6065/  10000 (60.65%), best:    6154/10000 (61.54%), error:     11960.76367, best error:     11830.76465 on epoch:    91, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 578.8001708984s, input_fired_time: 5.5418324471, output_fired_time: 4.2020044327, propagate_forward_time: 205.4330596924, propagate_backward_time: 355.5756225586, weight_update_time: 0.8836562634, other_time: 8.0476684570
epoch time: 43.8062210083s, input_fired_time: 0.6884430051, output_fired_time: 0.0000000000, propagate_forward_time: 41.7344970703, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3832817078
validation[          , genome  5723] predictions:    6106/  10000 (61.06%), best:    6154/10000 (61.54%), error:     11893.42285, best error:     11830.76465 on epoch:    91, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 631.3234252930s, input_fired_time: 5.7078919411, output_fired_time: 4.4109888077, propagate_forward_time: 223.5446014404, propagate_backward_time: 389.2413330078, weight_update_time: 0.9090539217, other_time: 8.4185791016
epoch time: 45.6505393982s, input_fired_time: 0.7125551701, output_fired_time: 0.0000000000, propagate_forward_time: 43.4994506836, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4385337830
validation[          , genome  5723] predictions:    6058/  10000 (60.58%), best:    6154/10000 (61.54%), error:     12018.39844, best error:     11830.76465 on epoch:    91, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 584.6633300781s, input_fired_time: 5.5141201019, output_fired_time: 4.1663980484, propagate_forward_time: 214.5419006348, propagate_backward_time: 352.5297546387, weight_update_time: 0.8712847233, other_time: 7.9111938477
epoch time: 43.6499900818s, input_fired_time: 0.6835868359, output_fired_time: 0.0000000000, propagate_forward_time: 41.6238212585, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3425827026
validation[          , genome  5723] predictions:    6161/  10000 (61.61%), best:    6154/10000 (61.54%), error:     11899.49805, best error:     11830.76465 on epoch:    91, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 573.1018066406s, input_fired_time: 5.5055947304, output_fired_time: 4.1537427902, propagate_forward_time: 203.9573822021, propagate_backward_time: 351.5594482422, weight_update_time: 0.8731475472, other_time: 7.9255981445
epoch time: 42.4925918579s, input_fired_time: 0.6694234610, output_fired_time: 0.0000000000, propagate_forward_time: 40.5149879456, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3081817627
validation[          , genome  5723] predictions:    6104/  10000 (61.04%), best:    6154/10000 (61.54%), error:     11857.65723, best error:     11830.76465 on epoch:    91, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 606.5720825195s, input_fired_time: 5.5774869919, output_fired_time: 4.1893334389, propagate_forward_time: 214.4241485596, propagate_backward_time: 374.2795410156, weight_update_time: 0.8859607577, other_time: 8.1015625000
epoch time: 43.9761657715s, input_fired_time: 0.6991194487, output_fired_time: 0.0000000000, propagate_forward_time: 41.9282989502, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3487472534
validation[          , genome  5723] predictions:    6093/  10000 (60.93%), best:    6154/10000 (61.54%), error:     11942.70898, best error:     11830.76465 on epoch:    91, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 624.4588012695s, input_fired_time: 7.0823202133, output_fired_time: 4.3924827576, propagate_forward_time: 213.5635681152, propagate_backward_time: 390.9903564453, weight_update_time: 0.9267079234, other_time: 8.4300842285
epoch time: 45.3335380554s, input_fired_time: 0.7221549749, output_fired_time: 0.0000000000, propagate_forward_time: 43.1471214294, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4642601013
validation[          , genome  5723] predictions:    6054/  10000 (60.54%), best:    6154/10000 (61.54%), error:     12016.61719, best error:     11830.76465 on epoch:    91, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 590.1703491211s, input_fired_time: 5.5785174370, output_fired_time: 4.2116689682, propagate_forward_time: 216.0671234131, propagate_backward_time: 356.2082519531, weight_update_time: 0.8850232363, other_time: 8.1047973633
epoch time: 42.8311614990s, input_fired_time: 0.6784275174, output_fired_time: 0.0000000000, propagate_forward_time: 40.8123855591, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3403472900
validation[          , genome  5723] predictions:    6124/  10000 (61.24%), best:    6154/10000 (61.54%), error:     11905.94238, best error:     11830.76465 on epoch:    91, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 577.5498657227s, input_fired_time: 5.5480484962, output_fired_time: 4.2072710991, propagate_forward_time: 205.6461639404, propagate_backward_time: 354.1390991211, weight_update_time: 0.8790911436, other_time: 8.0092773438
epoch time: 43.7149200439s, input_fired_time: 0.6835747361, output_fired_time: 0.0000000000, propagate_forward_time: 41.6808471680, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3504981995
validation[          , genome  5723] predictions:    6084/  10000 (60.84%), best:    6154/10000 (61.54%), error:     11976.62500, best error:     11830.76465 on epoch:    91, 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: 217.3658142090s, input_fired_time: 3.4125375748, output_fired_time: 0.0000000000, propagate_forward_time: 207.1632537842, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.7900238037
best training[          , genome  5723] predictions:   39320/  50000 (78.64%), best:    6154/10000 (61.54%), error:     32584.89063, best error:     11830.76465 on epoch:    91, 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: 45.3152046204s, input_fired_time: 0.7529407740, output_fired_time: 0.0000000000, propagate_forward_time: 43.1366996765, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4255638123
   testing[          , genome  5723] predictions:    6154/  10000 (61.54%), best:    6154/10000 (61.54%), error:     11830.76465, best error:     11830.76465 on epoch:    91, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
18:45:25 (5368): called boinc_finish(0)

</stderr_txt>
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