Nameexact_genome_1542649503_174_6334_1
Workunit4099387
Created20 Nov 2018, 2:10:55 UTC
Sent20 Nov 2018, 2:12:26 UTC
Report deadline31 Dec 2018, 7:29:22 UTC
Received20 Nov 2018, 17:35:41 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID90928
Run time10 hours 0 min 5 sec
CPU time9 hours 54 min 17 sec
Validate stateValid
Credit10,305.02
Device peak FLOPS5.98 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33
Peak working set size511.13 MB
Peak swap size513.91 MB
Peak disk usage4.82 MB

Stderr output

<core_client_version>7.9.3</core_client_version>
<![CDATA[
<stderr_txt>
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/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_1542649503_174_6334.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_174_6334_1_r1450059296_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542649503_174_6334.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 0
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6334
read normal distribution: '0 -1.7518298625946 -0.444351702928543'
generator_str: '1158644292'
read generator: 1158644292
read generated_by_map:
1 split_edge 1
reading 87 nodes.
reading 298 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 0
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507812
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
generator min: 1, generator max: 2147483646
pre shuffle 1: 2100388295
post shuffle 1: 1431261901
epoch time: 652.809143066406s, input_fired_time: 5.70873594284058, output_fired_time: 3.24522185325623, propagate_forward_time: 214.540084838867, propagate_backward_time: 422.169311523438, weight_update_time: 0.671727776527405, other_time: 7.145751953125
epoch time: 44.4458885192871s, input_fired_time: 0.572290182113647, output_fired_time: 0, propagate_forward_time: 42.6604804992676, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.21311950683594
validation[          , genome  6334] predictions:    5144/  10000 (51.44%), best:    5144/10000 (51.44%), error:     16466.72852, best error:     16466.72852 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 652.6710205078s, input_fired_time: 5.6380367279, output_fired_time: 3.2549433708, propagate_forward_time: 214.6272277832, propagate_backward_time: 422.0387878418, weight_update_time: 0.6715345383, other_time: 7.1119995117
epoch time: 44.6657638550s, input_fired_time: 0.5567431450, output_fired_time: 0.0000000000, propagate_forward_time: 42.9117851257, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1972351074
validation[          , genome  6334] predictions:    4995/  10000 (49.95%), best:    5144/10000 (51.44%), error:     16857.05469, best error:     16466.72852 on epoch:     0, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 652.2246093750s, input_fired_time: 5.5714254379, output_fired_time: 3.2360684872, propagate_forward_time: 214.1808166504, propagate_backward_time: 422.0918273926, weight_update_time: 0.6693225503, other_time: 7.1444702148
epoch time: 44.8124885559s, input_fired_time: 0.5569846034, output_fired_time: 0.0000000000, propagate_forward_time: 43.0373573303, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2181472778
validation[          , genome  6334] predictions:    4880/  10000 (48.80%), best:    5144/10000 (51.44%), error:     16869.14453, best error:     16466.72852 on epoch:     0, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 651.2763061523s, input_fired_time: 5.5687637329, output_fired_time: 3.2330565453, propagate_forward_time: 213.8355865479, propagate_backward_time: 421.4622497559, weight_update_time: 0.6765466332, other_time: 7.1766662598
epoch time: 44.6721687317s, input_fired_time: 0.5670567155, output_fired_time: 0.0000000000, propagate_forward_time: 42.8904914856, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2146186829
validation[          , genome  6334] predictions:    5290/  10000 (52.90%), best:    5290/10000 (52.90%), error:     15070.40527, best error:     15070.40527 on epoch:     3, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 651.4600830078s, input_fired_time: 5.5641202927, output_fired_time: 3.2321331501, propagate_forward_time: 214.1048736572, propagate_backward_time: 421.4411926270, weight_update_time: 0.6712160110, other_time: 7.1177673340
epoch time: 44.4012107849s, input_fired_time: 0.5555953979, output_fired_time: 0.0000000000, propagate_forward_time: 42.6475715637, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1980438232
validation[          , genome  6334] predictions:    5114/  10000 (51.14%), best:    5290/10000 (52.90%), error:     15329.50391, best error:     15070.40527 on epoch:     3, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 651.3605957031s, input_fired_time: 5.5378642082, output_fired_time: 3.2734763622, propagate_forward_time: 213.9861450195, propagate_backward_time: 421.4869079590, weight_update_time: 0.6849951744, other_time: 7.0762023926
epoch time: 44.8985748291s, input_fired_time: 0.5547792912, output_fired_time: 0.0000000000, propagate_forward_time: 43.1250076294, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2187881470
validation[          , genome  6334] predictions:    4967/  10000 (49.67%), best:    5290/10000 (52.90%), error:     16035.97852, best error:     15070.40527 on epoch:     3, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 651.1914672852s, input_fired_time: 5.5228800774, output_fired_time: 3.2444000244, propagate_forward_time: 213.8971710205, propagate_backward_time: 421.4495849609, weight_update_time: 0.6673473120, other_time: 7.0774536133
epoch time: 44.4509506226s, input_fired_time: 0.5442503095, output_fired_time: 0.0000000000, propagate_forward_time: 42.7012443542, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2054557800
validation[          , genome  6334] predictions:    4536/  10000 (45.36%), best:    5290/10000 (52.90%), error:     18855.31836, best error:     15070.40527 on epoch:     3, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 652.9156494141s, input_fired_time: 5.5451979637, output_fired_time: 3.2910614014, propagate_forward_time: 214.4962158203, propagate_backward_time: 422.4272766113, weight_update_time: 0.6739088297, other_time: 7.1558532715
epoch time: 44.4153900146s, input_fired_time: 0.5478514433, output_fired_time: 0.0000000000, propagate_forward_time: 42.6499061584, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2176322937
validation[          , genome  6334] predictions:    5252/  10000 (52.52%), best:    5252/10000 (52.52%), error:     15052.25586, best error:     15052.25586 on epoch:     7, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 652.2341918945s, input_fired_time: 5.5385937691, output_fired_time: 3.2221844196, propagate_forward_time: 214.0326080322, propagate_backward_time: 422.3072814941, weight_update_time: 0.6670040488, other_time: 7.1335754395
epoch time: 44.6483802795s, input_fired_time: 0.5546252728, output_fired_time: 0.0000000000, propagate_forward_time: 42.8469619751, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2467918396
validation[          , genome  6334] predictions:    5164/  10000 (51.64%), best:    5252/10000 (52.52%), error:     15241.80371, best error:     15052.25586 on epoch:     7, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 652.6899414062s, input_fired_time: 5.5599660873, output_fired_time: 3.2402498722, propagate_forward_time: 214.3784332275, propagate_backward_time: 422.4371948242, weight_update_time: 0.6700467467, other_time: 7.0741577148
epoch time: 44.5855903625s, input_fired_time: 0.5474271774, output_fired_time: 0.0000000000, propagate_forward_time: 42.8209228516, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2172393799
validation[          , genome  6334] predictions:    5349/  10000 (53.49%), best:    5349/10000 (53.49%), error:     14465.73633, best error:     14465.73633 on epoch:     9, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 654.3318481445s, input_fired_time: 5.5985889435, output_fired_time: 3.2592184544, propagate_forward_time: 215.0111999512, propagate_backward_time: 423.3162536621, weight_update_time: 0.6775770783, other_time: 7.1466064453
epoch time: 44.6589660645s, input_fired_time: 0.5556977391, output_fired_time: 0.0000000000, propagate_forward_time: 42.9047317505, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1985359192
validation[          , genome  6334] predictions:    5196/  10000 (51.96%), best:    5349/10000 (53.49%), error:     15141.53320, best error:     14465.73633 on epoch:     9, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 653.7523803711s, input_fired_time: 5.5997614861, output_fired_time: 3.2411193848, propagate_forward_time: 214.9718627930, propagate_backward_time: 422.8176879883, weight_update_time: 0.6741206646, other_time: 7.1219482422
epoch time: 44.6345443726s, input_fired_time: 0.5500119328, output_fired_time: 0.0000000000, propagate_forward_time: 42.8606185913, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2239151001
validation[          , genome  6334] predictions:    5394/  10000 (53.94%), best:    5394/10000 (53.94%), error:     14033.97168, best error:     14033.97168 on epoch:    11, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 652.9124145508s, input_fired_time: 5.5499162674, output_fired_time: 3.2316513062, propagate_forward_time: 214.5997009277, propagate_backward_time: 422.4182128906, weight_update_time: 0.6898212433, other_time: 7.1129455566
epoch time: 44.9459724426s, input_fired_time: 0.5554278493, output_fired_time: 0.0000000000, propagate_forward_time: 43.1339340210, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2566108704
validation[          , genome  6334] predictions:    5544/  10000 (55.44%), best:    5544/10000 (55.44%), error:     13893.07617, best error:     13893.07617 on epoch:    12, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 651.8373413086s, input_fired_time: 5.5533413887, output_fired_time: 3.2275810242, propagate_forward_time: 214.3439941406, propagate_backward_time: 421.6497802734, weight_update_time: 0.6680029631, other_time: 7.0626220703
epoch time: 44.8142395020s, input_fired_time: 0.5622582436, output_fired_time: 0.0000000000, propagate_forward_time: 43.0330276489, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2189521790
validation[          , genome  6334] predictions:    5287/  10000 (52.87%), best:    5544/10000 (55.44%), error:     15074.30859, best error:     13893.07617 on epoch:    12, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 654.2392578125s, input_fired_time: 5.5603065491, output_fired_time: 3.2592091560, propagate_forward_time: 214.8447418213, propagate_backward_time: 423.4318847656, weight_update_time: 0.6725928187, other_time: 7.1431274414
epoch time: 44.4999389648s, input_fired_time: 0.5609064698, output_fired_time: 0.0000000000, propagate_forward_time: 42.7302894592, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2087440491
validation[          , genome  6334] predictions:    5389/  10000 (53.89%), best:    5544/10000 (55.44%), error:     14500.27539, best error:     13893.07617 on epoch:    12, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 653.9675292969s, input_fired_time: 5.5926680565, output_fired_time: 3.2395393848, propagate_forward_time: 214.9872589111, propagate_backward_time: 423.0208129883, weight_update_time: 0.6865210533, other_time: 7.1272583008
epoch time: 44.4077224731s, input_fired_time: 0.5494267941, output_fired_time: 0.0000000000, propagate_forward_time: 42.6514587402, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2068367004
validation[          , genome  6334] predictions:    5620/  10000 (56.20%), best:    5620/10000 (56.20%), error:     13502.98730, best error:     13502.98730 on epoch:    15, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 653.5855102539s, input_fired_time: 5.5798969269, output_fired_time: 3.2859082222, propagate_forward_time: 214.6872406006, propagate_backward_time: 422.8578491211, weight_update_time: 0.6771674156, other_time: 7.1746215820
epoch time: 44.4461326599s, input_fired_time: 0.5596763492, output_fired_time: 0.0000000000, propagate_forward_time: 42.6757354736, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2107200623
validation[          , genome  6334] predictions:    5535/  10000 (55.35%), best:    5620/10000 (56.20%), error:     13656.95117, best error:     13502.98730 on epoch:    15, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 651.8806152344s, input_fired_time: 5.6006150246, output_fired_time: 3.2387475967, propagate_forward_time: 214.1108856201, propagate_backward_time: 421.8973083496, weight_update_time: 0.6679717302, other_time: 7.0330505371
epoch time: 44.6669158936s, input_fired_time: 0.5607402921, output_fired_time: 0.0000000000, propagate_forward_time: 42.9069328308, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1992416382
validation[          , genome  6334] predictions:    5370/  10000 (53.70%), best:    5620/10000 (56.20%), error:     14348.16504, best error:     13502.98730 on epoch:    15, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 653.1324462891s, input_fired_time: 5.6065263748, output_fired_time: 3.2231991291, propagate_forward_time: 215.0721282959, propagate_backward_time: 422.1105651855, weight_update_time: 0.6714137197, other_time: 7.1200256348
epoch time: 44.8065223694s, input_fired_time: 0.5719237328, output_fired_time: 0.0000000000, propagate_forward_time: 43.0048103333, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2297897339
validation[          , genome  6334] predictions:    5393/  10000 (53.93%), best:    5620/10000 (56.20%), error:     13928.25195, best error:     13502.98730 on epoch:    15, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 652.5784912109s, input_fired_time: 5.6180748940, output_fired_time: 3.2399973869, propagate_forward_time: 214.2691650391, propagate_backward_time: 422.4334716797, weight_update_time: 0.6647128463, other_time: 7.0177612305
epoch time: 44.8429489136s, input_fired_time: 0.5609875917, output_fired_time: 0.0000000000, propagate_forward_time: 43.0676307678, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2143287659
validation[          , genome  6334] predictions:    5488/  10000 (54.88%), best:    5620/10000 (56.20%), error:     13849.88379, best error:     13502.98730 on epoch:    15, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 654.0023803711s, input_fired_time: 5.6421246529, output_fired_time: 3.2285161018, propagate_forward_time: 214.8236541748, propagate_backward_time: 423.2377624512, weight_update_time: 0.6700625420, other_time: 7.0702819824
epoch time: 45.3917465210s, input_fired_time: 0.5739825368, output_fired_time: 0.0000000000, propagate_forward_time: 43.5168113708, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3009529114
validation[          , genome  6334] predictions:    5480/  10000 (54.80%), best:    5620/10000 (56.20%), error:     13888.05859, best error:     13502.98730 on epoch:    15, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 651.5168457031s, input_fired_time: 5.5961461067, output_fired_time: 3.2370560169, propagate_forward_time: 213.8928070068, propagate_backward_time: 421.7345581055, weight_update_time: 0.6685333252, other_time: 7.0562744141
epoch time: 44.9896163940s, input_fired_time: 0.5664725304, output_fired_time: 0.0000000000, propagate_forward_time: 43.2068557739, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2162895203
validation[          , genome  6334] predictions:    5613/  10000 (56.13%), best:    5620/10000 (56.20%), error:     13537.30957, best error:     13502.98730 on epoch:    15, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 652.6978759766s, input_fired_time: 5.6354684830, output_fired_time: 3.2959346771, propagate_forward_time: 214.2329559326, propagate_backward_time: 422.4165954590, weight_update_time: 0.6706258059, other_time: 7.1168518066
epoch time: 45.5486373901s, input_fired_time: 0.5760548115, output_fired_time: 0.0000000000, propagate_forward_time: 43.7617263794, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2108573914
validation[          , genome  6334] predictions:    5489/  10000 (54.89%), best:    5620/10000 (56.20%), error:     13703.66797, best error:     13502.98730 on epoch:    15, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 653.9511108398s, input_fired_time: 5.6501083374, output_fired_time: 3.2331554890, propagate_forward_time: 215.2709960938, propagate_backward_time: 422.6766662598, weight_update_time: 0.6684571505, other_time: 7.1202087402
epoch time: 45.8314399719s, input_fired_time: 0.5773907304, output_fired_time: 0.0000000000, propagate_forward_time: 44.0064277649, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2476196289
validation[          , genome  6334] predictions:    5465/  10000 (54.65%), best:    5620/10000 (56.20%), error:     13964.03613, best error:     13502.98730 on epoch:    15, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 652.8973388672s, input_fired_time: 5.6475100517, output_fired_time: 3.2464272976, propagate_forward_time: 214.1873626709, propagate_backward_time: 422.7487487793, weight_update_time: 0.6681096554, other_time: 7.0672912598
epoch time: 44.5578384399s, input_fired_time: 0.5734689236, output_fired_time: 0.0000000000, propagate_forward_time: 42.7700424194, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2143287659
validation[          , genome  6334] predictions:    5630/  10000 (56.30%), best:    5620/10000 (56.20%), error:     13606.10449, best error:     13502.98730 on epoch:    15, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 651.6339111328s, input_fired_time: 5.6463060379, output_fired_time: 3.2347433567, propagate_forward_time: 214.2934112549, propagate_backward_time: 421.3996887207, weight_update_time: 0.6672520638, other_time: 7.0597839355
epoch time: 44.5744438171s, input_fired_time: 0.5820156932, output_fired_time: 0.0000000000, propagate_forward_time: 42.7947921753, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1976356506
validation[          , genome  6334] predictions:    5602/  10000 (56.02%), best:    5602/10000 (56.02%), error:     13282.44727, best error:     13282.44727 on epoch:    25, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 652.8766479492s, input_fired_time: 5.6914863586, output_fired_time: 3.2232227325, propagate_forward_time: 214.7922821045, propagate_backward_time: 422.0429077148, weight_update_time: 0.6699511409, other_time: 7.1267700195
epoch time: 44.4942588806s, input_fired_time: 0.5729115605, output_fired_time: 0.0000000000, propagate_forward_time: 42.6997680664, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2215805054
validation[          , genome  6334] predictions:    5584/  10000 (55.84%), best:    5584/10000 (55.84%), error:     13228.56348, best error:     13228.56348 on epoch:    26, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 653.2023925781s, input_fired_time: 5.6481080055, output_fired_time: 3.2378804684, propagate_forward_time: 214.8020172119, propagate_backward_time: 422.3703002930, weight_update_time: 0.6690756083, other_time: 7.1441040039
epoch time: 44.8481788635s, input_fired_time: 0.5720944405, output_fired_time: 0.0000000000, propagate_forward_time: 43.0570831299, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2190017700
validation[          , genome  6334] predictions:    5694/  10000 (56.94%), best:    5694/10000 (56.94%), error:     12924.95801, best error:     12924.95801 on epoch:    27, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 653.2605590820s, input_fired_time: 5.6805953979, output_fired_time: 3.2458288670, propagate_forward_time: 214.2461547852, propagate_backward_time: 422.9555053711, weight_update_time: 0.6721442342, other_time: 7.1324462891
epoch time: 44.5409965515s, input_fired_time: 0.5786644816, output_fired_time: 0.0000000000, propagate_forward_time: 42.7721595764, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1901741028
validation[          , genome  6334] predictions:    5764/  10000 (57.64%), best:    5694/10000 (56.94%), error:     13080.05273, best error:     12924.95801 on epoch:    27, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 654.7235107422s, input_fired_time: 5.7157340050, output_fired_time: 3.2668619156, propagate_forward_time: 215.4996643066, propagate_backward_time: 423.1215209961, weight_update_time: 0.6818428636, other_time: 7.1197204590
epoch time: 45.0963859558s, input_fired_time: 0.5885761976, output_fired_time: 0.0000000000, propagate_forward_time: 43.2718811035, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2359275818
validation[          , genome  6334] predictions:    5700/  10000 (57.00%), best:    5694/10000 (56.94%), error:     13454.44922, best error:     12924.95801 on epoch:    27, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 654.9916992188s, input_fired_time: 5.7265419960, output_fired_time: 3.2360887527, propagate_forward_time: 215.1569061279, propagate_backward_time: 423.7648925781, weight_update_time: 0.6721547842, other_time: 7.1072387695
epoch time: 44.7587471008s, input_fired_time: 0.5855764151, output_fired_time: 0.0000000000, propagate_forward_time: 42.9776039124, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1955680847
validation[          , genome  6334] predictions:    5751/  10000 (57.51%), best:    5694/10000 (56.94%), error:     13099.79590, best error:     12924.95801 on epoch:    27, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 654.0024414062s, input_fired_time: 5.7376570702, output_fired_time: 3.2449872494, propagate_forward_time: 214.3115386963, propagate_backward_time: 423.6068420410, weight_update_time: 0.6690499783, other_time: 7.1014099121
epoch time: 44.7741737366s, input_fired_time: 0.5808687806, output_fired_time: 0.0000000000, propagate_forward_time: 42.9768142700, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2164916992
validation[          , genome  6334] predictions:    5800/  10000 (58.00%), best:    5800/10000 (58.00%), error:     12793.83105, best error:     12793.83105 on epoch:    31, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 659.2540893555s, input_fired_time: 5.8370833397, output_fired_time: 3.2872698307, propagate_forward_time: 217.0844421387, propagate_backward_time: 425.8533020020, weight_update_time: 0.6685236692, other_time: 7.1919555664
epoch time: 44.6142730713s, input_fired_time: 0.5763410330, output_fired_time: 0.0000000000, propagate_forward_time: 42.8240051270, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2139282227
validation[          , genome  6334] predictions:    5807/  10000 (58.07%), best:    5807/10000 (58.07%), error:     12717.78223, best error:     12717.78223 on epoch:    32, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 654.7263793945s, input_fired_time: 5.7353563309, output_fired_time: 3.2227597237, propagate_forward_time: 215.3052520752, propagate_backward_time: 423.3206787109, weight_update_time: 0.6822027564, other_time: 7.1423339844
epoch time: 44.7246093750s, input_fired_time: 0.5757747889, output_fired_time: 0.0000000000, propagate_forward_time: 42.9431304932, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2057037354
validation[          , genome  6334] predictions:    5712/  10000 (57.12%), best:    5807/10000 (58.07%), error:     13044.81543, best error:     12717.78223 on epoch:    32, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 654.5715332031s, input_fired_time: 5.7845811844, output_fired_time: 3.2552247047, propagate_forward_time: 215.1884155273, propagate_backward_time: 423.2521972656, weight_update_time: 0.6854096055, other_time: 7.0910644531
epoch time: 44.6604957581s, input_fired_time: 0.5811713934, output_fired_time: 0.0000000000, propagate_forward_time: 42.8580665588, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2212562561
validation[          , genome  6334] predictions:    5755/  10000 (57.55%), best:    5807/10000 (58.07%), error:     12827.06543, best error:     12717.78223 on epoch:    32, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 652.7728271484s, input_fired_time: 5.7145795822, output_fired_time: 3.2293479443, propagate_forward_time: 214.2862548828, propagate_backward_time: 422.4637756348, weight_update_time: 0.6682318449, other_time: 7.0788269043
epoch time: 44.5638046265s, input_fired_time: 0.5814280510, output_fired_time: 0.0000000000, propagate_forward_time: 42.7855377197, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1968383789
validation[          , genome  6334] predictions:    5766/  10000 (57.66%), best:    5807/10000 (58.07%), error:     12765.16016, best error:     12717.78223 on epoch:    32, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

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/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_1542649503_174_6334.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_174_6334_1_r1450059296_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: 0.912688
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00197224
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.88896e-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: 36
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 32
read number_validation_images: 10000
read best_validation_predictions: 5807
read best_validation_error: 12717.8
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: 6334
read normal distribution: '0 -1.7518298625946 -0.444351702928543'
generator_str: '849973367'
read generator: 849973367
read generated_by_map:
1 split_edge 1
reading 87 nodes.
reading 298 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: 0.0684280395507812
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: 657.75048828125s, input_fired_time: 5.79609632492065, output_fired_time: 3.21772074699402, propagate_forward_time: 215.966812133789, propagate_backward_time: 425.619476318359, weight_update_time: 0.675339162349701, other_time: 7.15042114257812
epoch time: 45.0223274230957s, input_fired_time: 0.579095959663391, output_fired_time: 0, propagate_forward_time: 43.2151985168457, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.22803115844727
validation[          , genome  6334] predictions:    5530/  10000 (55.30%), best:    5807/10000 (58.07%), error:     13888.61426, best error:     12717.78223 on epoch:    32, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 661.5175781250s, input_fired_time: 5.7867922783, output_fired_time: 3.2383196354, propagate_forward_time: 217.3320922852, propagate_backward_time: 427.9749450684, weight_update_time: 0.6679772139, other_time: 7.1853942871
epoch time: 44.8978004456s, input_fired_time: 0.5865823627, output_fired_time: 0.0000000000, propagate_forward_time: 43.0977554321, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2134628296
validation[          , genome  6334] predictions:    5871/  10000 (58.71%), best:    5807/10000 (58.07%), error:     12800.29688, best error:     12717.78223 on epoch:    32, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 658.2066650391s, input_fired_time: 5.8053503036, output_fired_time: 3.2383499146, propagate_forward_time: 216.5162658691, propagate_backward_time: 425.4631347656, weight_update_time: 0.6667178273, other_time: 7.1835632324
epoch time: 45.7762794495s, input_fired_time: 0.6069152355, output_fired_time: 0.0000000000, propagate_forward_time: 43.8724479675, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2969169617
validation[          , genome  6334] predictions:    5715/  10000 (57.15%), best:    5807/10000 (58.07%), error:     12822.40039, best error:     12717.78223 on epoch:    32, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 660.1976318359s, input_fired_time: 5.8545804024, output_fired_time: 3.2376377583, propagate_forward_time: 216.7844696045, propagate_backward_time: 427.0834045410, weight_update_time: 0.6706572175, other_time: 7.2375793457
epoch time: 45.1885032654s, input_fired_time: 0.5909166932, output_fired_time: 0.0000000000, propagate_forward_time: 43.3577041626, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2398834229
validation[          , genome  6334] predictions:    5780/  10000 (57.80%), best:    5780/10000 (57.80%), error:     12705.30664, best error:     12705.30664 on epoch:    39, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 657.8900146484s, input_fired_time: 5.8055005074, output_fired_time: 3.2473235130, propagate_forward_time: 216.7779388428, propagate_backward_time: 424.8989868164, weight_update_time: 0.6774914265, other_time: 7.1602783203
epoch time: 45.1878814697s, input_fired_time: 0.5939311385, output_fired_time: 0.0000000000, propagate_forward_time: 43.3644409180, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2295112610
validation[          , genome  6334] predictions:    5877/  10000 (58.77%), best:    5877/10000 (58.77%), error:     12598.66309, best error:     12598.66309 on epoch:    40, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 662.9804077148s, input_fired_time: 5.8408598900, output_fired_time: 3.2560474873, propagate_forward_time: 218.0096740723, propagate_backward_time: 428.5644531250, weight_update_time: 0.6764463782, other_time: 7.3093566895
epoch time: 45.2257881165s, input_fired_time: 0.6036586761, output_fired_time: 0.0000000000, propagate_forward_time: 43.4061203003, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2160110474
validation[          , genome  6334] predictions:    5903/  10000 (59.03%), best:    5877/10000 (58.77%), error:     12600.53711, best error:     12598.66309 on epoch:    40, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 662.5881958008s, input_fired_time: 5.8288927078, output_fired_time: 3.2193536758, propagate_forward_time: 217.3634185791, propagate_backward_time: 428.9164123535, weight_update_time: 0.6760716438, other_time: 7.2601013184
epoch time: 45.9390144348s, input_fired_time: 0.5978461504, output_fired_time: 0.0000000000, propagate_forward_time: 44.1087379456, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2324295044
validation[          , genome  6334] predictions:    5960/  10000 (59.60%), best:    5960/10000 (59.60%), error:     12243.39258, best error:     12243.39258 on epoch:    42, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 659.3255004883s, input_fired_time: 5.8079590797, output_fired_time: 3.2262105942, propagate_forward_time: 216.7990417480, propagate_backward_time: 426.2934265137, weight_update_time: 0.6695213914, other_time: 7.1988525391
epoch time: 45.2346420288s, input_fired_time: 0.5997244716, output_fired_time: 0.0000000000, propagate_forward_time: 43.3879814148, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2469367981
validation[          , genome  6334] predictions:    5891/  10000 (58.91%), best:    5960/10000 (59.60%), error:     12396.50195, best error:     12243.39258 on epoch:    42, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 661.8345336914s, input_fired_time: 5.8338346481, output_fired_time: 3.2279591560, propagate_forward_time: 217.9185943604, propagate_backward_time: 427.6435241699, weight_update_time: 0.6719058752, other_time: 7.2106018066
epoch time: 45.0138130188s, input_fired_time: 0.6009684205, output_fired_time: 0.0000000000, propagate_forward_time: 43.1772079468, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2356376648
validation[          , genome  6334] predictions:    5890/  10000 (58.90%), best:    5960/10000 (59.60%), error:     12658.85156, best error:     12243.39258 on epoch:    42, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 661.4108886719s, input_fired_time: 5.8490295410, output_fired_time: 3.2487587929, propagate_forward_time: 216.9933013916, propagate_backward_time: 428.0710144043, weight_update_time: 0.6867645979, other_time: 7.2488098145
epoch time: 45.0671997070s, input_fired_time: 0.5934596062, output_fired_time: 0.0000000000, propagate_forward_time: 43.2539024353, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2198371887
validation[          , genome  6334] predictions:    5853/  10000 (58.53%), best:    5960/10000 (59.60%), error:     12790.15918, best error:     12243.39258 on epoch:    42, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 662.5527954102s, input_fired_time: 5.9474987984, output_fired_time: 3.2594532967, propagate_forward_time: 217.9794616699, propagate_backward_time: 428.0224304199, weight_update_time: 0.6762644053, other_time: 7.3439331055
epoch time: 45.9393272400s, input_fired_time: 0.6474407315, output_fired_time: 0.0000000000, propagate_forward_time: 44.0765037537, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2153816223
validation[          , genome  6334] predictions:    5876/  10000 (58.76%), best:    5960/10000 (59.60%), error:     12396.42969, best error:     12243.39258 on epoch:    42, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 663.3267822266s, input_fired_time: 5.8322992325, output_fired_time: 3.2851667404, propagate_forward_time: 217.6743011475, propagate_backward_time: 429.2495117188, weight_update_time: 0.7040782571, other_time: 7.2855224609
epoch time: 45.5523567200s, input_fired_time: 0.6180123687, output_fired_time: 0.0000000000, propagate_forward_time: 43.7051887512, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2291564941
validation[          , genome  6334] predictions:    5988/  10000 (59.88%), best:    5988/10000 (59.88%), error:     12146.18359, best error:     12146.18359 on epoch:    47, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 664.6853027344s, input_fired_time: 5.8484439850, output_fired_time: 3.2664699554, propagate_forward_time: 218.6940765381, propagate_backward_time: 429.6289062500, weight_update_time: 0.6697613001, other_time: 7.2473754883
epoch time: 44.9399757385s, input_fired_time: 0.6016266346, output_fired_time: 0.0000000000, propagate_forward_time: 43.1291580200, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2091903687
validation[          , genome  6334] predictions:    5990/  10000 (59.90%), best:    5988/10000 (59.88%), error:     12256.14551, best error:     12146.18359 on epoch:    47, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 663.5905761719s, input_fired_time: 5.9335455894, output_fired_time: 3.2661468983, propagate_forward_time: 217.7276763916, propagate_backward_time: 429.3851013184, weight_update_time: 0.7004142404, other_time: 7.2781066895
epoch time: 45.1886253357s, input_fired_time: 0.6100207567, output_fired_time: 0.0000000000, propagate_forward_time: 43.3168411255, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2617645264
validation[          , genome  6334] predictions:    5945/  10000 (59.45%), best:    5988/10000 (59.88%), error:     12411.99707, best error:     12146.18359 on epoch:    47, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 660.9664306641s, input_fired_time: 5.9173674583, output_fired_time: 3.2147374153, propagate_forward_time: 217.3264312744, propagate_backward_time: 427.3474731445, weight_update_time: 0.6868640780, other_time: 7.1604614258
epoch time: 45.5665283203s, input_fired_time: 0.6083105206, output_fired_time: 0.0000000000, propagate_forward_time: 43.7313957214, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2268218994
validation[          , genome  6334] predictions:    5910/  10000 (59.10%), best:    5988/10000 (59.88%), error:     12489.87695, best error:     12146.18359 on epoch:    47, epoch:   50/50, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 226.5064086914s, input_fired_time: 3.0700378418, output_fired_time: 0.0000000000, propagate_forward_time: 217.2696075439, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.1667633057
best training[          , genome  6334] predictions:   35485/  50000 (70.97%), best:    5988/10000 (59.88%), error:     41775.53125, best error:     12146.18359 on epoch:    47, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 45.1006546021s, input_fired_time: 0.6040275097, output_fired_time: 0.0000000000, propagate_forward_time: 43.2596435547, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2369842529
   testing[          , genome  6334] predictions:    5988/  10000 (59.88%), best:    5988/10000 (59.88%), error:     12146.18359, best error:     12146.18359 on epoch:    47, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
10:35:24 (16302): called boinc_finish(0)

</stderr_txt>
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