Nameexact_genome_1542383404_175_6096_2
Workunit4093626
Created16 Nov 2018, 20:42:48 UTC
Sent16 Nov 2018, 21:13:13 UTC
Report deadline10 Jan 2019, 19:18:16 UTC
Received17 Nov 2018, 12:09:56 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID73073
Run time12 hours 49 min 23 sec
CPU time12 hours 44 min 17 sec
Validate stateValid
Credit13,730.04
Device peak FLOPS4.57 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size529.87 MB
Peak swap size549.75 MB
Peak disk usage11.02 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_175_6096.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_175_6096_2_r1655824868_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542383404_175_6096.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: 6096
read normal distribution: '1 0 0'
generator_str: '151685244'
read generator: 151685244
read generated_by_map:
1 disable_edge 1
reading 87 nodes.
reading 348 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 0
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
generator min: 1, generator max: 2147483646
pre shuffle 1: 310806919
post shuffle 1: 408781732
epoch time: 888.080078125s, input_fired_time: 7.72485256195068, output_fired_time: 6.18374633789063, propagate_forward_time: 319.269866943359, propagate_backward_time: 544.518737792969, weight_update_time: 0.85072922706604, other_time: 10.3828735351563
epoch time: 67.5163040161133s, input_fired_time: 0.882195174694061, output_fired_time: 0, propagate_forward_time: 64.7500762939453, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.884033203125
validation[          , genome  6096] predictions:    5178/  10000 (51.78%), best:    5178/10000 (51.78%), error:     16766.08398, best error:     16766.08398 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 885.8397216797s, input_fired_time: 7.6280593872, output_fired_time: 6.1460194588, propagate_forward_time: 320.5489196777, propagate_backward_time: 540.2229003906, weight_update_time: 1.8545633554, other_time: 11.2938232422
epoch time: 66.3717422485s, input_fired_time: 0.8794553876, output_fired_time: 0.0000000000, propagate_forward_time: 63.6729736328, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8193130493
validation[          , genome  6096] predictions:    4869/  10000 (48.69%), best:    5178/10000 (51.78%), error:     17026.61914, best error:     16766.08398 on epoch:     0, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 911.0878906250s, input_fired_time: 8.7496519089, output_fired_time: 6.3731184006, propagate_forward_time: 330.3385009766, propagate_backward_time: 553.9091186523, weight_update_time: 0.8793746233, other_time: 11.7175292969
epoch time: 65.7238998413s, input_fired_time: 0.8548066616, output_fired_time: 0.0000000000, propagate_forward_time: 63.0771102905, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7919845581
validation[          , genome  6096] predictions:    5020/  10000 (50.20%), best:    5020/10000 (50.20%), error:     16443.67578, best error:     16443.67578 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 876.1685791016s, input_fired_time: 8.3756237030, output_fired_time: 8.1208915710, propagate_forward_time: 315.9501342773, propagate_backward_time: 531.5697631836, weight_update_time: 1.8467720747, other_time: 12.1521606445
epoch time: 65.6650390625s, input_fired_time: 0.8517094851, output_fired_time: 0.0000000000, propagate_forward_time: 62.9876480103, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8256835938
validation[          , genome  6096] predictions:    5118/  10000 (51.18%), best:    5020/10000 (50.20%), error:     16566.55078, best error:     16443.67578 on epoch:     2, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 878.0227661133s, input_fired_time: 7.4883565903, output_fired_time: 6.1238408089, propagate_forward_time: 317.5861206055, propagate_backward_time: 535.7350463867, weight_update_time: 0.8376348615, other_time: 11.0894165039
epoch time: 66.7398757935s, input_fired_time: 0.8485696912, output_fired_time: 0.0000000000, propagate_forward_time: 64.0860137939, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8052902222
validation[          , genome  6096] predictions:    5516/  10000 (55.16%), best:    5516/10000 (55.16%), error:     14769.78516, best error:     14769.78516 on epoch:     4, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 876.4392089844s, input_fired_time: 8.4935436249, output_fired_time: 6.1161518097, propagate_forward_time: 314.5533142090, propagate_backward_time: 535.1408691406, weight_update_time: 0.8380599618, other_time: 12.1353759766
epoch time: 66.7327880859s, input_fired_time: 0.8646475077, output_fired_time: 0.0000000000, propagate_forward_time: 64.0544128418, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8137283325
validation[          , genome  6096] predictions:    5488/  10000 (54.88%), best:    5488/10000 (54.88%), error:     14155.23242, best error:     14155.23242 on epoch:     5, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 876.0780029297s, input_fired_time: 8.4373188019, output_fired_time: 6.1372241974, propagate_forward_time: 316.1610412598, propagate_backward_time: 535.2788085938, weight_update_time: 0.8354531527, other_time: 10.0635986328
epoch time: 65.4601593018s, input_fired_time: 0.8595019579, output_fired_time: 0.0000000000, propagate_forward_time: 62.8334465027, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7672080994
validation[          , genome  6096] predictions:    5284/  10000 (52.84%), best:    5488/10000 (54.88%), error:     15364.63477, best error:     14155.23242 on epoch:     5, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 874.8818969727s, input_fired_time: 8.4286336899, output_fired_time: 6.0785665512, propagate_forward_time: 313.9139709473, propagate_backward_time: 535.4884033203, weight_update_time: 0.8369000554, other_time: 10.9722900391
epoch time: 65.8990402222s, input_fired_time: 0.8580558896, output_fired_time: 0.0000000000, propagate_forward_time: 63.2445716858, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7964134216
validation[          , genome  6096] predictions:    5643/  10000 (56.43%), best:    5643/10000 (56.43%), error:     14104.84082, best error:     14104.84082 on epoch:     7, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 878.0023803711s, input_fired_time: 8.4733819962, output_fired_time: 7.0641298294, propagate_forward_time: 321.1716918945, propagate_backward_time: 529.3270874023, weight_update_time: 0.8378208280, other_time: 11.9660644531
epoch time: 65.6721038818s, input_fired_time: 0.8563485146, output_fired_time: 0.0000000000, propagate_forward_time: 63.0201187134, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7956390381
validation[          , genome  6096] predictions:    5690/  10000 (56.90%), best:    5690/10000 (56.90%), error:     13283.32617, best error:     13283.32617 on epoch:     8, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 886.3641357422s, input_fired_time: 7.5351734161, output_fired_time: 7.1682476997, propagate_forward_time: 317.9213562012, propagate_backward_time: 543.6400756836, weight_update_time: 0.8458722234, other_time: 10.0993041992
epoch time: 66.6353530884s, input_fired_time: 0.8460136056, output_fired_time: 0.0000000000, propagate_forward_time: 62.9936218262, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7957153320
validation[          , genome  6096] predictions:    5432/  10000 (54.32%), best:    5690/10000 (56.90%), error:     14195.31445, best error:     13283.32617 on epoch:     8, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 873.7191162109s, input_fired_time: 7.4253926277, output_fired_time: 6.0627546310, propagate_forward_time: 317.8331298828, propagate_backward_time: 532.4160766602, weight_update_time: 0.8358533978, other_time: 9.9817504883
epoch time: 66.6749267578s, input_fired_time: 0.8588604331, output_fired_time: 0.0000000000, propagate_forward_time: 63.9958801270, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8201828003
validation[          , genome  6096] predictions:    5529/  10000 (55.29%), best:    5690/10000 (56.90%), error:     14144.92578, best error:     13283.32617 on epoch:     8, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 872.3788452148s, input_fired_time: 8.4388952255, output_fired_time: 6.0426893234, propagate_forward_time: 314.2831115723, propagate_backward_time: 532.3576049805, weight_update_time: 0.8406710029, other_time: 11.2565307617
epoch time: 66.6116409302s, input_fired_time: 0.8692476153, output_fired_time: 0.0000000000, propagate_forward_time: 63.9595222473, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7828712463
validation[          , genome  6096] predictions:    5546/  10000 (55.46%), best:    5690/10000 (56.90%), error:     14271.12207, best error:     13283.32617 on epoch:     8, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 870.3311157227s, input_fired_time: 7.4612903595, output_fired_time: 6.0812311172, propagate_forward_time: 312.2072753906, propagate_backward_time: 533.2814331055, weight_update_time: 0.8362910151, other_time: 11.2998657227
epoch time: 66.8087997437s, input_fired_time: 0.8703641295, output_fired_time: 0.0000000000, propagate_forward_time: 64.1252212524, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8132171631
validation[          , genome  6096] predictions:    5552/  10000 (55.52%), best:    5690/10000 (56.90%), error:     13705.59473, best error:     13283.32617 on epoch:     8, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 873.9995117188s, input_fired_time: 7.4338574409, output_fired_time: 6.0950555801, propagate_forward_time: 315.8216552734, propagate_backward_time: 534.4306030273, weight_update_time: 0.8356212974, other_time: 10.2183837891
epoch time: 66.8650207520s, input_fired_time: 0.8672004938, output_fired_time: 0.0000000000, propagate_forward_time: 63.1710205078, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8267974854
validation[          , genome  6096] predictions:    5640/  10000 (56.40%), best:    5690/10000 (56.90%), error:     13331.60742, best error:     13283.32617 on epoch:     8, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 875.2061767578s, input_fired_time: 7.4421806335, output_fired_time: 6.1089768410, propagate_forward_time: 315.9955139160, propagate_backward_time: 535.4222412109, weight_update_time: 0.8348939419, other_time: 10.2373046875
epoch time: 66.7649993896s, input_fired_time: 0.8735422492, output_fired_time: 0.0000000000, propagate_forward_time: 64.0873413086, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8041152954
validation[          , genome  6096] predictions:    5620/  10000 (56.20%), best:    5690/10000 (56.90%), error:     13871.06055, best error:     13283.32617 on epoch:     8, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 876.6250610352s, input_fired_time: 8.5060844421, output_fired_time: 7.1213169098, propagate_forward_time: 314.2795715332, propagate_backward_time: 534.4754028320, weight_update_time: 0.8329112530, other_time: 12.2426147461
epoch time: 65.6177444458s, input_fired_time: 0.8700813055, output_fired_time: 0.0000000000, propagate_forward_time: 62.9081039429, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8395614624
validation[          , genome  6096] predictions:    5548/  10000 (55.48%), best:    5690/10000 (56.90%), error:     14226.69531, best error:     13283.32617 on epoch:     8, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 876.5917358398s, input_fired_time: 8.5104694366, output_fired_time: 6.1481852531, propagate_forward_time: 312.9678955078, propagate_backward_time: 537.7810668945, weight_update_time: 0.8464276791, other_time: 11.1840820313
epoch time: 65.7703170776s, input_fired_time: 0.8759170771, output_fired_time: 0.0000000000, propagate_forward_time: 62.0440979004, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8503036499
validation[          , genome  6096] predictions:    5568/  10000 (55.68%), best:    5690/10000 (56.90%), error:     13570.85742, best error:     13283.32617 on epoch:     8, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 876.6232910156s, input_fired_time: 7.5363583565, output_fired_time: 6.1325926781, propagate_forward_time: 314.1735839844, propagate_backward_time: 537.6110839844, weight_update_time: 0.8445073962, other_time: 11.1696777344
epoch time: 65.6191101074s, input_fired_time: 1.8720588684, output_fired_time: 0.0000000000, propagate_forward_time: 61.9346313477, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8124198914
validation[          , genome  6096] predictions:    5672/  10000 (56.72%), best:    5690/10000 (56.90%), error:     13471.50781, best error:     13283.32617 on epoch:     8, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 876.2661743164s, input_fired_time: 8.5645418167, output_fired_time: 6.1199917793, propagate_forward_time: 320.4687500000, propagate_backward_time: 530.0449829102, weight_update_time: 0.8333061934, other_time: 11.0679321289
epoch time: 65.5483779907s, input_fired_time: 0.8759815693, output_fired_time: 0.0000000000, propagate_forward_time: 62.8912582397, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7811355591
validation[          , genome  6096] predictions:    5604/  10000 (56.04%), best:    5690/10000 (56.90%), error:     13834.35840, best error:     13283.32617 on epoch:     8, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 887.3641357422s, input_fired_time: 7.6411685944, output_fired_time: 6.1655120850, propagate_forward_time: 324.3923339844, propagate_backward_time: 538.8245849609, weight_update_time: 0.8419966698, other_time: 10.3405151367
epoch time: 65.9520645142s, input_fired_time: 0.8735254407, output_fired_time: 0.0000000000, propagate_forward_time: 63.2477378845, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8307991028
validation[          , genome  6096] predictions:    5728/  10000 (57.28%), best:    5690/10000 (56.90%), error:     13605.01563, best error:     13283.32617 on epoch:     8, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 879.2753906250s, input_fired_time: 8.4797773361, output_fired_time: 6.0880713463, propagate_forward_time: 315.2334899902, propagate_backward_time: 538.9688110352, weight_update_time: 0.8382325172, other_time: 10.5051879883
epoch time: 65.9364624023s, input_fired_time: 0.8900816441, output_fired_time: 0.0000000000, propagate_forward_time: 63.1681747437, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8782043457
validation[          , genome  6096] predictions:    5869/  10000 (58.69%), best:    5869/10000 (58.69%), error:     12724.32129, best error:     12724.32129 on epoch:    20, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 879.1824951172s, input_fired_time: 8.6302080154, output_fired_time: 6.0993123055, propagate_forward_time: 317.3012695313, propagate_backward_time: 536.5711059570, weight_update_time: 0.8414493203, other_time: 10.5806274414
epoch time: 67.1666183472s, input_fired_time: 0.8889255524, output_fired_time: 0.0000000000, propagate_forward_time: 64.3949584961, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8827362061
validation[          , genome  6096] predictions:    5939/  10000 (59.39%), best:    5869/10000 (58.69%), error:     12751.51465, best error:     12724.32129 on epoch:    20, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 879.1536254883s, input_fired_time: 8.6012191772, output_fired_time: 7.1000180244, propagate_forward_time: 318.1718750000, propagate_backward_time: 533.6554565430, weight_update_time: 1.8702567816, other_time: 11.6250610352
epoch time: 65.9448165894s, input_fired_time: 0.8881451488, output_fired_time: 0.0000000000, propagate_forward_time: 63.2130279541, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8436431885
validation[          , genome  6096] predictions:    5764/  10000 (57.64%), best:    5869/10000 (58.69%), error:     13393.85059, best error:     12724.32129 on epoch:    20, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 879.3463134766s, input_fired_time: 7.5954060555, output_fired_time: 6.1323418617, propagate_forward_time: 316.9613952637, propagate_backward_time: 537.1510009766, weight_update_time: 1.8524584770, other_time: 11.5062255859
epoch time: 66.4771881104s, input_fired_time: 0.8913727999, output_fired_time: 0.0000000000, propagate_forward_time: 63.7022590637, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8835563660
validation[          , genome  6096] predictions:    5702/  10000 (57.02%), best:    5869/10000 (58.69%), error:     13181.17969, best error:     12724.32129 on epoch:    20, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 879.8013916016s, input_fired_time: 7.6366915703, output_fired_time: 7.1506700516, propagate_forward_time: 320.3405151367, propagate_backward_time: 534.1115112305, weight_update_time: 0.8381112218, other_time: 10.5619506836
epoch time: 67.4942245483s, input_fired_time: 0.9099485278, output_fired_time: 0.0000000000, propagate_forward_time: 64.7199020386, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8643722534
validation[          , genome  6096] predictions:    5701/  10000 (57.01%), best:    5869/10000 (58.69%), error:     13322.43945, best error:     12724.32129 on epoch:    20, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 882.4180908203s, input_fired_time: 8.6458587646, output_fired_time: 6.1189575195, propagate_forward_time: 317.3062744141, propagate_backward_time: 539.5607299805, weight_update_time: 0.8611088395, other_time: 10.7862548828
epoch time: 66.1399688721s, input_fired_time: 0.8871207237, output_fired_time: 0.0000000000, propagate_forward_time: 63.3355712891, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9172744751
validation[          , genome  6096] predictions:    5675/  10000 (56.75%), best:    5869/10000 (58.69%), error:     13693.18262, best error:     12724.32129 on epoch:    20, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 881.6659545898s, input_fired_time: 7.6707763672, output_fired_time: 6.1267700195, propagate_forward_time: 317.8336791992, propagate_backward_time: 538.2525024414, weight_update_time: 0.8397887945, other_time: 11.7822265625
epoch time: 66.4211502075s, input_fired_time: 0.8961306810, output_fired_time: 0.0000000000, propagate_forward_time: 63.5984611511, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9265556335
validation[          , genome  6096] predictions:    5888/  10000 (58.88%), best:    5869/10000 (58.69%), error:     12909.60059, best error:     12724.32129 on epoch:    20, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 878.1870117188s, input_fired_time: 8.6587295532, output_fired_time: 6.0597648621, propagate_forward_time: 317.3101806641, propagate_backward_time: 534.3025512695, weight_update_time: 1.8521095514, other_time: 11.8557739258
epoch time: 67.0620803833s, input_fired_time: 0.8894420266, output_fired_time: 0.0000000000, propagate_forward_time: 64.2226333618, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9500045776
validation[          , genome  6096] predictions:    5932/  10000 (59.32%), best:    5869/10000 (58.69%), error:     12902.50781, best error:     12724.32129 on epoch:    20, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 881.0562744141s, input_fired_time: 8.6793308258, output_fired_time: 6.0924978256, propagate_forward_time: 315.8830566406, propagate_backward_time: 538.6190185547, weight_update_time: 0.8446176648, other_time: 11.7824096680
epoch time: 66.2596893311s, input_fired_time: 0.9015353322, output_fired_time: 0.0000000000, propagate_forward_time: 63.4313240051, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9268302917
validation[          , genome  6096] predictions:    5976/  10000 (59.76%), best:    5976/10000 (59.76%), error:     12206.07910, best error:     12206.07910 on epoch:    28, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 879.3193969727s, input_fired_time: 7.6908369064, output_fired_time: 6.1585445404, propagate_forward_time: 319.9317016602, propagate_backward_time: 534.7287597656, weight_update_time: 0.8420905471, other_time: 10.8095092773
epoch time: 66.0612030029s, input_fired_time: 0.9207437038, output_fired_time: 0.0000000000, propagate_forward_time: 63.2068367004, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9336204529
validation[          , genome  6096] predictions:    6040/  10000 (60.40%), best:    5976/10000 (59.76%), error:     12369.80859, best error:     12206.07910 on epoch:    28, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 875.2916870117s, input_fired_time: 7.6353764534, output_fired_time: 6.0755815506, propagate_forward_time: 310.8258056641, propagate_backward_time: 540.4763183594, weight_update_time: 0.8321596980, other_time: 10.2786254883
epoch time: 65.4403381348s, input_fired_time: 0.8779104948, output_fired_time: 0.0000000000, propagate_forward_time: 62.7982444763, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7641868591
validation[          , genome  6096] predictions:    6048/  10000 (60.48%), best:    5976/10000 (59.76%), error:     12866.76172, best error:     12206.07910 on epoch:    28, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 871.7203369141s, input_fired_time: 8.6017799377, output_fired_time: 6.0278058052, propagate_forward_time: 319.8799438477, propagate_backward_time: 527.3186035156, weight_update_time: 0.8350457549, other_time: 9.8921508789
epoch time: 65.6687316895s, input_fired_time: 0.8884657621, output_fired_time: 0.0000000000, propagate_forward_time: 62.8914260864, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8888397217
validation[          , genome  6096] predictions:    6017/  10000 (60.17%), best:    5976/10000 (59.76%), error:     12704.42773, best error:     12206.07910 on epoch:    28, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 876.5693359375s, input_fired_time: 7.6613082886, output_fired_time: 6.1372923851, propagate_forward_time: 316.8926696777, propagate_backward_time: 535.4835815430, weight_update_time: 0.8398405910, other_time: 10.3944702148
epoch time: 65.8216400146s, input_fired_time: 1.8881633282, output_fired_time: 0.0000000000, propagate_forward_time: 62.0854148865, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8480606079
validation[          , genome  6096] predictions:    5744/  10000 (57.44%), best:    5976/10000 (59.76%), error:     13769.60449, best error:     12206.07910 on epoch:    28, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 878.3344726563s, input_fired_time: 9.6998281479, output_fired_time: 6.1315813065, propagate_forward_time: 311.6514892578, propagate_backward_time: 539.4047851563, weight_update_time: 0.8377735019, other_time: 11.4467773438
epoch time: 65.7965850830s, input_fired_time: 0.9071106911, output_fired_time: 0.0000000000, propagate_forward_time: 63.0258865356, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8635864258
validation[          , genome  6096] predictions:    5962/  10000 (59.62%), best:    5976/10000 (59.76%), error:     12761.28809, best error:     12206.07910 on epoch:    28, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 878.3558959961s, input_fired_time: 7.7021226883, output_fired_time: 8.1230077744, propagate_forward_time: 314.9733581543, propagate_backward_time: 535.0731811523, weight_update_time: 0.8383135200, other_time: 12.4841918945
epoch time: 66.8501052856s, input_fired_time: 0.9008099437, output_fired_time: 0.0000000000, propagate_forward_time: 64.0935592651, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8557357788
validation[          , genome  6096] predictions:    5994/  10000 (59.94%), best:    5976/10000 (59.76%), error:     12646.59277, best error:     12206.07910 on epoch:    28, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 876.7796630859s, input_fired_time: 7.6619367599, output_fired_time: 6.0969276428, propagate_forward_time: 314.3287963867, propagate_backward_time: 538.3332519531, weight_update_time: 0.8360623121, other_time: 10.3587646484
epoch time: 65.5125045776s, input_fired_time: 0.8989977241, output_fired_time: 0.0000000000, propagate_forward_time: 62.8199272156, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7935829163
validation[          , genome  6096] predictions:    6073/  10000 (60.73%), best:    5976/10000 (59.76%), error:     12327.47754, best error:     12206.07910 on epoch:    28, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 874.4756469727s, input_fired_time: 7.6658515930, output_fired_time: 6.0649666786, propagate_forward_time: 315.4780883789, propagate_backward_time: 534.2183227539, weight_update_time: 0.8356696367, other_time: 11.0484619141
epoch time: 65.5236587524s, input_fired_time: 0.9017984271, output_fired_time: 0.0000000000, propagate_forward_time: 61.8337173462, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7881393433
validation[          , genome  6096] predictions:    5911/  10000 (59.11%), best:    5976/10000 (59.76%), error:     12885.21973, best error:     12206.07910 on epoch:    28, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 873.9031372070s, input_fired_time: 7.6760406494, output_fired_time: 7.0994043350, propagate_forward_time: 311.1514282227, propagate_backward_time: 537.9692382813, weight_update_time: 0.8342440724, other_time: 10.0070190430
epoch time: 65.5380706787s, input_fired_time: 0.9067767262, output_fired_time: 0.0000000000, propagate_forward_time: 62.8228416443, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8084526062
validation[          , genome  6096] predictions:    6097/  10000 (60.97%), best:    5976/10000 (59.76%), error:     12206.66602, best error:     12206.07910 on epoch:    28, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 891.4409179688s, input_fired_time: 7.8050541878, output_fired_time: 6.2193570137, propagate_forward_time: 323.5935974121, propagate_backward_time: 542.5335693359, weight_update_time: 0.8544099331, other_time: 11.2893066406
epoch time: 67.8492050171s, input_fired_time: 0.9171128869, output_fired_time: 0.0000000000, propagate_forward_time: 65.0904998779, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8415908813
validation[          , genome  6096] predictions:    6054/  10000 (60.54%), best:    5976/10000 (59.76%), error:     12292.49414, best error:     12206.07910 on epoch:    28, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 880.1644897461s, input_fired_time: 7.7325901985, output_fired_time: 6.0923571587, propagate_forward_time: 314.2799072266, propagate_backward_time: 541.9525146484, weight_update_time: 0.8382028341, other_time: 10.1071166992
epoch time: 65.5499954224s, input_fired_time: 0.8903002739, output_fired_time: 0.0000000000, propagate_forward_time: 62.8575057983, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8021926880
validation[          , genome  6096] predictions:    6059/  10000 (60.59%), best:    5976/10000 (59.76%), error:     12358.50586, best error:     12206.07910 on epoch:    28, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

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_1542383404_175_6096.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_175_6096_2_r1655824868_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: 0.927029
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0016064
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 6.4256e-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: 40
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 28
read number_validation_images: 10000
read best_validation_predictions: 5976
read best_validation_error: 12206.1
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: 6096
read normal distribution: '1 0 0'
generator_str: '82003777'
read generator: 82003777
read generated_by_map:
1 disable_edge 1
reading 87 nodes.
reading 348 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: 871.162841796875s, input_fired_time: 7.69462585449219, output_fired_time: 6.04067468643188, propagate_forward_time: 314.261871337891, propagate_backward_time: 532.198791503906, weight_update_time: 1.82993018627167, other_time: 10.9668579101563
epoch time: 66.8001861572266s, input_fired_time: 0.911465048789978, output_fired_time: 0, propagate_forward_time: 64.1208877563477, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.76782989501953
validation[          , genome  6096] predictions:    5995/  10000 (59.95%), best:    5976/10000 (59.76%), error:     12401.76465, best error:     12206.07910 on epoch:    28, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 873.7826538086s, input_fired_time: 7.7298169136, output_fired_time: 6.0347437859, propagate_forward_time: 320.0335693359, propagate_backward_time: 529.9916992188, weight_update_time: 0.8289094567, other_time: 9.9928588867
epoch time: 66.6824417114s, input_fired_time: 0.9074313641, output_fired_time: 0.0000000000, propagate_forward_time: 64.0170745850, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7579345703
validation[          , genome  6096] predictions:    6046/  10000 (60.46%), best:    5976/10000 (59.76%), error:     12490.33398, best error:     12206.07910 on epoch:    28, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 876.2719726563s, input_fired_time: 7.7345690727, output_fired_time: 6.9762420654, propagate_forward_time: 318.4881896973, propagate_backward_time: 533.1624755859, weight_update_time: 0.8284233212, other_time: 9.9105224609
epoch time: 65.6814270020s, input_fired_time: 0.9094949365, output_fired_time: 0.0000000000, propagate_forward_time: 62.9963836670, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7755508423
validation[          , genome  6096] predictions:    6051/  10000 (60.51%), best:    5976/10000 (59.76%), error:     12526.99707, best error:     12206.07910 on epoch:    28, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 874.7102661133s, input_fired_time: 8.7221822739, output_fired_time: 6.0613760948, propagate_forward_time: 316.9399719238, propagate_backward_time: 533.0443725586, weight_update_time: 0.8271134496, other_time: 9.9423217773
epoch time: 65.7615127563s, input_fired_time: 0.9060416818, output_fired_time: 0.0000000000, propagate_forward_time: 62.1564598083, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6990089417
validation[          , genome  6096] predictions:    6083/  10000 (60.83%), best:    5976/10000 (59.76%), error:     12291.63867, best error:     12206.07910 on epoch:    28, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 874.6672973633s, input_fired_time: 7.7320408821, output_fired_time: 7.0404620171, propagate_forward_time: 320.1292114258, propagate_backward_time: 529.8832397461, weight_update_time: 0.8327652216, other_time: 9.8823242188
epoch time: 65.6473846436s, input_fired_time: 0.9058391452, output_fired_time: 0.0000000000, propagate_forward_time: 62.9585723877, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7829742432
validation[          , genome  6096] predictions:    6112/  10000 (61.12%), best:    5976/10000 (59.76%), error:     12488.16211, best error:     12206.07910 on epoch:    28, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 873.8894653320s, input_fired_time: 7.7165904045, output_fired_time: 7.0355591774, propagate_forward_time: 316.7246398926, propagate_backward_time: 532.4777832031, weight_update_time: 0.8283231854, other_time: 9.9348144531
epoch time: 65.5484848022s, input_fired_time: 0.9062728286, output_fired_time: 0.0000000000, propagate_forward_time: 62.8764915466, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7657203674
validation[          , genome  6096] predictions:    6109/  10000 (61.09%), best:    5976/10000 (59.76%), error:     12350.10449, best error:     12206.07910 on epoch:    28, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 873.6802978516s, input_fired_time: 7.7290382385, output_fired_time: 5.9881601334, propagate_forward_time: 317.7827453613, propagate_backward_time: 530.3100585938, weight_update_time: 0.8258442879, other_time: 11.8702392578
epoch time: 65.7316207886s, input_fired_time: 0.9194222689, output_fired_time: 0.0000000000, propagate_forward_time: 63.0531044006, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7590904236
validation[          , genome  6096] predictions:    6012/  10000 (60.12%), best:    5976/10000 (59.76%), error:     12567.93262, best error:     12206.07910 on epoch:    28, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 876.0804443359s, input_fired_time: 8.7568292618, output_fired_time: 6.0784964561, propagate_forward_time: 315.6042480469, propagate_backward_time: 534.7434082031, weight_update_time: 0.8282760382, other_time: 10.8974609375
epoch time: 65.8060531616s, input_fired_time: 0.9261312485, output_fired_time: 0.0000000000, propagate_forward_time: 63.1059265137, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7739944458
validation[          , genome  6096] predictions:    6053/  10000 (60.53%), best:    5976/10000 (59.76%), error:     12506.11523, best error:     12206.07910 on epoch:    28, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 875.1098022461s, input_fired_time: 7.7856774330, output_fired_time: 7.0555710793, propagate_forward_time: 314.8990478516, propagate_backward_time: 535.3782958984, weight_update_time: 0.8254795671, other_time: 9.9912109375
epoch time: 65.6837921143s, input_fired_time: 0.9050485492, output_fired_time: 0.0000000000, propagate_forward_time: 62.9735870361, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8051528931
validation[          , genome  6096] predictions:    6100/  10000 (61.00%), best:    5976/10000 (59.76%), error:     12250.39844, best error:     12206.07910 on epoch:    28, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 874.3126831055s, input_fired_time: 7.7665662766, output_fired_time: 6.0140008926, propagate_forward_time: 313.4923095703, propagate_backward_time: 536.9305419922, weight_update_time: 0.8286744952, other_time: 10.1093139648
epoch time: 65.5316314697s, input_fired_time: 0.9063738585, output_fired_time: 0.0000000000, propagate_forward_time: 62.8244819641, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8007774353
validation[          , genome  6096] predictions:    6166/  10000 (61.66%), best:    5976/10000 (59.76%), error:     12211.04980, best error:     12206.07910 on epoch:    28, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 877.6517944336s, input_fired_time: 7.8039374352, output_fired_time: 6.0604801178, propagate_forward_time: 319.8110656738, propagate_backward_time: 533.8901367188, weight_update_time: 0.8323658109, other_time: 10.0861816406
epoch time: 65.6140060425s, input_fired_time: 0.9242807627, output_fired_time: 0.0000000000, propagate_forward_time: 62.9565963745, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7331314087
validation[          , genome  6096] predictions:    6239/  10000 (62.39%), best:    6239/10000 (62.39%), error:     11976.46289, best error:     11976.46289 on epoch:    50, 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: 330.0817871094s, input_fired_time: 4.6055297852, output_fired_time: 0.0000000000, propagate_forward_time: 315.7584228516, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.7178344727
best training[          , genome  6096] predictions:   38448/  50000 (76.90%), best:    6239/10000 (62.39%), error:     33688.90234, best error:     11976.46289 on epoch:    50, 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: 65.8228378296s, input_fired_time: 0.9313217998, output_fired_time: 0.0000000000, propagate_forward_time: 63.1580886841, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7334289551
   testing[          , genome  6096] predictions:    6239/  10000 (62.39%), best:    6239/10000 (62.39%), error:     11976.46289, best error:     11976.46289 on epoch:    50, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
12:08:45 (8700): called boinc_finish(0)

</stderr_txt>
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