Nameexact_genome_1542414603_169_6118_1
Workunit4094218
Created17 Nov 2018, 1:02:49 UTC
Sent17 Nov 2018, 1:34:10 UTC
Report deadline10 Dec 2018, 20:12:48 UTC
Received22 Nov 2018, 3:18:30 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID92895
Run time16 hours 38 min 6 sec
CPU time15 hours 43 min 23 sec
Validate stateValid
Credit5,944.21
Device peak FLOPS2.94 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size518.29 MB
Peak swap size516.86 MB
Peak disk usage11.54 MB

Stderr output

<core_client_version>7.14.2</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_1542414603_169_6118.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_169_6118_1_r330421452_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542414603_169_6118.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: 25
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: 6118
read normal distribution: '1 0 0'
generator_str: '32525069'
read generator: 32525069
read generated_by_map:
1 enable_edge 1
reading 98 nodes.
reading 369 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: 1187988345
post shuffle 1: 2026626225
epoch time: 1945.35388183594s, input_fired_time: 11.9639434814453, output_fired_time: 12.8506994247437, propagate_forward_time: 777.755126953125, propagate_backward_time: 1125.99401855469, weight_update_time: 1.99471366405487, other_time: 16.7900390625
epoch time: 161.6015625s, input_fired_time: 1.55426788330078, output_fired_time: 0, propagate_forward_time: 157.128509521484, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.91879272460938
validation[          , genome  6118] predictions:    4876/  10000 (48.76%), best:    4876/10000 (48.76%), error:     18997.31836, best error:     18997.31836 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 2007.8592529297s, input_fired_time: 12.3088989258, output_fired_time: 13.2374763489, propagate_forward_time: 805.3370971680, propagate_backward_time: 1159.5218505859, weight_update_time: 2.0474913120, other_time: 17.4539794922
epoch time: 160.7088623047s, input_fired_time: 1.5334004164, output_fired_time: 0.0000000000, propagate_forward_time: 156.2435913086, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9318695068
validation[          , genome  6118] predictions:    5037/  10000 (50.37%), best:    5037/10000 (50.37%), error:     17520.69336, best error:     17520.69336 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1940.5742187500s, input_fired_time: 11.9328756332, output_fired_time: 12.8272647858, propagate_forward_time: 775.2772216797, propagate_backward_time: 1123.5906982422, weight_update_time: 1.9685088396, other_time: 16.9461669922
epoch time: 159.6685028076s, input_fired_time: 1.5108263493, output_fired_time: 0.0000000000, propagate_forward_time: 155.2350158691, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9226531982
validation[          , genome  6118] predictions:    5226/  10000 (52.26%), best:    5226/10000 (52.26%), error:     15816.72070, best error:     15816.72070 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1935.7736816406s, input_fired_time: 11.9034509659, output_fired_time: 12.7584915161, propagate_forward_time: 773.5306396484, propagate_backward_time: 1120.6063232422, weight_update_time: 1.9921010733, other_time: 16.9747314453
epoch time: 163.8918762207s, input_fired_time: 1.5668711662, output_fired_time: 0.0000000000, propagate_forward_time: 159.4181060791, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9069061279
validation[          , genome  6118] predictions:    5468/  10000 (54.68%), best:    5468/10000 (54.68%), error:     14296.54199, best error:     14296.54199 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1989.9899902344s, input_fired_time: 12.1396093369, output_fired_time: 13.1524000168, propagate_forward_time: 796.5808105469, propagate_backward_time: 1150.9470214844, weight_update_time: 2.0200128555, other_time: 17.1701660156
epoch time: 161.3676300049s, input_fired_time: 1.5026333332, output_fired_time: 0.0000000000, propagate_forward_time: 156.9718933105, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8930969238
validation[          , genome  6118] predictions:    5315/  10000 (53.15%), best:    5468/10000 (54.68%), error:     14703.69336, best error:     14296.54199 on epoch:     3, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 2027.2485351563s, input_fired_time: 12.2896213531, output_fired_time: 13.3419046402, propagate_forward_time: 814.2136230469, propagate_backward_time: 1169.9185791016, weight_update_time: 2.0308051109, other_time: 17.4847412109
epoch time: 170.7905273438s, input_fired_time: 1.5869315863, output_fired_time: 0.0000000000, propagate_forward_time: 166.1471252441, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0564727783
validation[          , genome  6118] predictions:    4956/  10000 (49.56%), best:    5468/10000 (54.68%), error:     16390.60742, best error:     14296.54199 on epoch:     3, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 2000.2371826172s, input_fired_time: 12.1803369522, output_fired_time: 13.1118173599, propagate_forward_time: 801.4266357422, propagate_backward_time: 1156.4501953125, weight_update_time: 2.0138316154, other_time: 17.0682373047
epoch time: 161.9470825195s, input_fired_time: 1.5360060930, output_fired_time: 0.0000000000, propagate_forward_time: 157.4871520996, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9239196777
validation[          , genome  6118] predictions:    5134/  10000 (51.34%), best:    5468/10000 (54.68%), error:     16458.25977, best error:     14296.54199 on epoch:     3, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 2019.5014648438s, input_fired_time: 12.2672014236, output_fired_time: 13.3025426865, propagate_forward_time: 810.1526489258, propagate_backward_time: 1166.4801025391, weight_update_time: 2.0147500038, other_time: 17.2989501953
epoch time: 161.2742004395s, input_fired_time: 1.5180212259, output_fired_time: 0.0000000000, propagate_forward_time: 156.8835296631, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8726501465
validation[          , genome  6118] predictions:    5390/  10000 (53.90%), best:    5468/10000 (54.68%), error:     15013.77344, best error:     14296.54199 on epoch:     3, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 2081.8735351563s, input_fired_time: 12.6784534454, output_fired_time: 13.7013912201, propagate_forward_time: 837.8287353516, propagate_backward_time: 1199.7789306641, weight_update_time: 2.1015574932, other_time: 17.8859863281
epoch time: 172.4239959717s, input_fired_time: 1.6759415865, output_fired_time: 0.0000000000, propagate_forward_time: 167.5286407471, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2194061279
validation[          , genome  6118] predictions:    5464/  10000 (54.64%), best:    5464/10000 (54.64%), error:     14051.97852, best error:     14051.97852 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 2155.0021972656s, input_fired_time: 13.1897811890, output_fired_time: 14.2762050629, propagate_forward_time: 868.1480712891, propagate_backward_time: 1240.6484375000, weight_update_time: 2.2349503040, other_time: 18.7398681641
epoch time: 168.4321136475s, input_fired_time: 1.5967345238, output_fired_time: 0.0000000000, propagate_forward_time: 163.8175964355, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0177764893
validation[          , genome  6118] predictions:    5508/  10000 (55.08%), best:    5508/10000 (55.08%), error:     13917.95020, best error:     13917.95020 on epoch:     9, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 2085.8452148438s, input_fired_time: 12.7526941299, output_fired_time: 13.8265972137, propagate_forward_time: 834.2947998047, propagate_backward_time: 1206.9294433594, weight_update_time: 2.1452941895, other_time: 18.0416259766
epoch time: 169.0544433594s, input_fired_time: 1.5895553827, output_fired_time: 0.0000000000, propagate_forward_time: 164.3961334229, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0687561035
validation[          , genome  6118] predictions:    5508/  10000 (55.08%), best:    5508/10000 (55.08%), error:     14366.65332, best error:     13917.95020 on epoch:     9, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 2142.3754882813s, input_fired_time: 13.0568027496, output_fired_time: 14.3161420822, propagate_forward_time: 855.1390380859, propagate_backward_time: 1241.0975341797, weight_update_time: 2.1935851574, other_time: 18.7658691406
epoch time: 185.6624145508s, input_fired_time: 1.7383002043, output_fired_time: 0.0000000000, propagate_forward_time: 180.5810546875, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3430633545
validation[          , genome  6118] predictions:    5261/  10000 (52.61%), best:    5508/10000 (55.08%), error:     14855.00488, best error:     13917.95020 on epoch:     9, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 2210.3815917969s, input_fired_time: 13.2403068542, output_fired_time: 14.1874523163, propagate_forward_time: 895.7445678711, propagate_backward_time: 1258.6033935547, weight_update_time: 2.1503210068, other_time: 28.6058349609
epoch time: 195.1307983398s, input_fired_time: 1.7753108740, output_fired_time: 0.0000000000, propagate_forward_time: 189.1064147949, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.2490692139
validation[          , genome  6118] predictions:    5441/  10000 (54.41%), best:    5508/10000 (55.08%), error:     14543.74902, best error:     13917.95020 on epoch:     9, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

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_1542414603_169_6118.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_169_6118_1_r330421452_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: 0.738463
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00641677
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000256671
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: 13
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 9
read number_validation_images: 10000
read best_validation_predictions: 5508
read best_validation_error: 13918
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: 6118
read normal distribution: '1 0 0'
generator_str: '619069623'
read generator: 619069623
read generated_by_map:
1 enable_edge 1
reading 98 nodes.
reading 369 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: 1967.97961425781s, input_fired_time: 12.0578031539917, output_fired_time: 12.8878574371338, propagate_forward_time: 791.925476074219, propagate_backward_time: 1134.42248535156, weight_update_time: 1.97165596485138, other_time: 16.6859130859375
epoch time: 157.282028198242s, input_fired_time: 1.48683023452759, output_fired_time: 0, propagate_forward_time: 152.923843383789, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.87135314941406
validation[          , genome  6118] predictions:    5533/  10000 (55.33%), best:    5508/10000 (55.08%), error:     14074.62598, best error:     13917.95020 on epoch:     9, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1926.7275390625s, input_fired_time: 11.9009933472, output_fired_time: 12.6872100830, propagate_forward_time: 770.3247070313, propagate_backward_time: 1114.9853515625, weight_update_time: 1.9713569880, other_time: 16.8292236328
epoch time: 161.0205993652s, input_fired_time: 1.5169211626, output_fired_time: 0.0000000000, propagate_forward_time: 156.5952453613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9084320068
validation[          , genome  6118] predictions:    5598/  10000 (55.98%), best:    5598/10000 (55.98%), error:     13432.66699, best error:     13432.66699 on epoch:    14, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1959.8769531250s, input_fired_time: 11.9966573715, output_fired_time: 12.8328971863, propagate_forward_time: 780.0416870117, propagate_backward_time: 1137.9434814453, weight_update_time: 1.9902585745, other_time: 17.0621337891
epoch time: 156.3255157471s, input_fired_time: 1.4710856676, output_fired_time: 0.0000000000, propagate_forward_time: 151.9956817627, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8587493896
validation[          , genome  6118] predictions:    5346/  10000 (53.46%), best:    5598/10000 (55.98%), error:     14593.93359, best error:     13432.66699 on epoch:    14, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1946.3437500000s, input_fired_time: 12.0092124939, output_fired_time: 12.8924026489, propagate_forward_time: 778.2385864258, propagate_backward_time: 1126.2379150391, weight_update_time: 1.9848598242, other_time: 16.9656982422
epoch time: 162.8767852783s, input_fired_time: 1.5481312275, output_fired_time: 0.0000000000, propagate_forward_time: 158.3887634277, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9398956299
validation[          , genome  6118] predictions:    5542/  10000 (55.42%), best:    5598/10000 (55.98%), error:     14001.71387, best error:     13432.66699 on epoch:    14, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 2090.4455566406s, input_fired_time: 12.6845302582, output_fired_time: 13.9324512482, propagate_forward_time: 837.2162475586, propagate_backward_time: 1208.2679443359, weight_update_time: 2.1769020557, other_time: 18.3443603516
epoch time: 173.1274414063s, input_fired_time: 1.6898006201, output_fired_time: 0.0000000000, propagate_forward_time: 168.3572387695, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0803985596
validation[          , genome  6118] predictions:    5561/  10000 (55.61%), best:    5598/10000 (55.98%), error:     13871.30176, best error:     13432.66699 on epoch:    14, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

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_1542414603_169_6118.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_169_6118_1_r330421452_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: 0.795365
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00496518
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000198607
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: 18
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 14
read number_validation_images: 10000
read best_validation_predictions: 5598
read best_validation_error: 13432.7
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: 6118
read normal distribution: '1 0 0'
generator_str: '211502073'
read generator: 211502073
read generated_by_map:
1 enable_edge 1
reading 98 nodes.
reading 369 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: 2097.32763671875s, input_fired_time: 12.7889318466187, output_fired_time: 13.6600608825684, propagate_forward_time: 855.62841796875, propagate_backward_time: 1197.0791015625, weight_update_time: 2.16818118095398, other_time: 18.171142578125
epoch time: 166.760482788086s, input_fired_time: 1.54910552501678, output_fired_time: 0, propagate_forward_time: 162.181945800781, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.02943420410156
validation[          , genome  6118] predictions:    5677/  10000 (56.77%), best:    5677/10000 (56.77%), error:     13186.70117, best error:     13186.70117 on epoch:    18, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 2044.9114990234s, input_fired_time: 12.5975875854, output_fired_time: 13.5238409042, propagate_forward_time: 817.6146240234, propagate_backward_time: 1183.3911132813, weight_update_time: 2.0782680511, other_time: 17.7844238281
epoch time: 179.2044525146s, input_fired_time: 1.7582575083, output_fired_time: 0.0000000000, propagate_forward_time: 174.2205810547, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2256164551
validation[          , genome  6118] predictions:    5615/  10000 (56.15%), best:    5677/10000 (56.77%), error:     13782.27246, best error:     13186.70117 on epoch:    18, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 2149.5747070313s, input_fired_time: 13.3140850067, output_fired_time: 14.1851329803, propagate_forward_time: 859.6224975586, propagate_backward_time: 1244.1024169922, weight_update_time: 2.1310904026, other_time: 18.3507080078
epoch time: 189.6326293945s, input_fired_time: 1.7928920984, output_fired_time: 0.0000000000, propagate_forward_time: 184.4364471436, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4032897949
validation[          , genome  6118] predictions:    5668/  10000 (56.68%), best:    5677/10000 (56.77%), error:     13968.51660, best error:     13186.70117 on epoch:    18, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 2167.7351074219s, input_fired_time: 13.3269987106, output_fired_time: 14.3513994217, propagate_forward_time: 866.7699584961, propagate_backward_time: 1254.5520019531, weight_update_time: 2.1768906116, other_time: 18.7348632813
epoch time: 199.4386596680s, input_fired_time: 1.8787859678, output_fired_time: 0.0000000000, propagate_forward_time: 193.9576568604, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6022186279
validation[          , genome  6118] predictions:    5666/  10000 (56.66%), best:    5677/10000 (56.77%), error:     13429.00977, best error:     13186.70117 on epoch:    18, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 2173.9023437500s, input_fired_time: 13.4138879776, output_fired_time: 14.2962560654, propagate_forward_time: 871.5294189453, propagate_backward_time: 1255.9008789063, weight_update_time: 2.2420747280, other_time: 18.7620849609
epoch time: 165.3198089600s, input_fired_time: 1.6410586834, output_fired_time: 0.0000000000, propagate_forward_time: 160.6443328857, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0344238281
validation[          , genome  6118] predictions:    5657/  10000 (56.57%), best:    5657/10000 (56.57%), error:     13058.46973, best error:     13058.46973 on epoch:    22, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 2311.3779296875s, input_fired_time: 14.0322494507, output_fired_time: 24.8682575226, propagate_forward_time: 953.3876953125, propagate_backward_time: 1299.9882812500, weight_update_time: 2.2379205227, other_time: 19.1015625000
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_1542414603_169_6118.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_169_6118_1_r330421452_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: 0.839395
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00384196
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000153678
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: 23
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 22
read number_validation_images: 10000
read best_validation_predictions: 5657
read best_validation_error: 13058.5
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: 6118
read normal distribution: '1 0 0'
generator_str: '772410961'
read generator: 772410961
read generated_by_map:
1 enable_edge 1
reading 98 nodes.
reading 369 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!
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_1542414603_169_6118.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_169_6118_1_r330421452_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.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_1542414603_169_6118.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_169_6118_1_r330421452_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: 0.839395
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00384196
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000153678
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: 23
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 22
read number_validation_images: 10000
read best_validation_predictions: 5657
read best_validation_error: 13058.5
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: 6118
read normal distribution: '1 0 0'
generator_str: '772410961'
read generator: 772410961
read generated_by_map:
1 enable_edge 1
reading 98 nodes.
reading 369 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: 2111.91381835938s, input_fired_time: 12.9421482086182, output_fired_time: 13.7657318115234, propagate_forward_time: 842.1298828125, propagate_backward_time: 1225.185546875, weight_update_time: 2.13038539886475, other_time: 17.890625
epoch time: 180.868438720703s, input_fired_time: 1.67964994907379, output_fired_time: 0, propagate_forward_time: 175.969573974609, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.21920776367188
validation[          , genome  6118] predictions:    5636/  10000 (56.36%), best:    5657/10000 (56.57%), error:     14033.22559, best error:     13058.46973 on epoch:    22, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

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_1542414603_169_6118.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_169_6118_1_r330421452_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: 0.846925
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00364986
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000145994
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: 24
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 22
read number_validation_images: 10000
read best_validation_predictions: 5657
read best_validation_error: 13058.5
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: 6118
read normal distribution: '1 0 0'
generator_str: '1393835507'
read generator: 1393835507
read generated_by_map:
1 enable_edge 1
reading 98 nodes.
reading 369 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: 2315.00439453125s, input_fired_time: 14.4654188156128, output_fired_time: 14.815634727478, propagate_forward_time: 925.82568359375, propagate_backward_time: 1340.38000488281, weight_update_time: 2.30192637443542, other_time: 19.5177001953125
epoch time: 166.883316040039s, input_fired_time: 1.60409986972809, output_fired_time: 0, propagate_forward_time: 162.216720581055, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.0625
validation[          , genome  6118] predictions:    5802/  10000 (58.02%), best:    5657/10000 (56.57%), error:     13061.54102, best error:     13058.46973 on epoch:    22, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 2039.7478027344s, input_fired_time: 12.5484981537, output_fired_time: 13.6128559113, propagate_forward_time: 814.2133178711, propagate_backward_time: 1181.8322753906, weight_update_time: 2.0974688530, other_time: 17.5407714844
epoch time: 167.8570404053s, input_fired_time: 1.6206958294, output_fired_time: 0.0000000000, propagate_forward_time: 163.2700500488, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9662933350
validation[          , genome  6118] predictions:    5690/  10000 (56.90%), best:    5657/10000 (56.57%), error:     13582.17773, best error:     13058.46973 on epoch:    22, epoch:   25/25, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 849.0264282227s, input_fired_time: 8.1063928604, output_fired_time: 0.0000000000, propagate_forward_time: 825.5064697266, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.4135742188
best training[          , genome  6118] predictions:   32271/  50000 (64.54%), best:    5657/10000 (56.57%), error:     51034.25000, best error:     13058.46973 on epoch:    22, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 169.8970794678s, input_fired_time: 1.6038787365, output_fired_time: 0.0000000000, propagate_forward_time: 165.2389526367, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0542449951
   testing[          , genome  6118] predictions:    5657/  10000 (56.57%), best:    5657/10000 (56.57%), error:     13058.46973, best error:     13058.46973 on epoch:    22, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
10:45:58 (6760): called boinc_finish(0)

</stderr_txt>
]]>