Nameexact_genome_1542692703_177_6370_0
Workunit4100205
Created20 Nov 2018, 6:16:11 UTC
Sent20 Nov 2018, 6:45:19 UTC
Report deadline7 Jan 2019, 11:43:01 UTC
Received21 Nov 2018, 4:44:54 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID10687
Run time19 hours 26 min 15 sec
CPU time19 hours 16 min 14 sec
Validate stateValid
Credit12,051.69
Device peak FLOPS4.69 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size521.98 MB
Peak swap size520.44 MB
Peak disk usage11.50 MB

Stderr output

<core_client_version>7.4.42</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_1542692703_177_6370.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_177_6370_0_r2122245331_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542692703_177_6370.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: 6370
read normal distribution: '0 -1.00728833675385 -0.761156499385834'
generator_str: '1294911604'
read generator: 1294911604
read generated_by_map:
1 add_node 1
reading 90 nodes.
reading 351 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: 980049730
post shuffle 1: 1408187336
epoch time: 1245.55383300781s, input_fired_time: 12.7921800613403, output_fired_time: 10.1651735305786, propagate_forward_time: 444.678039550781, propagate_backward_time: 763.192260742188, weight_update_time: 1.43070900440216, other_time: 14.7261352539063
epoch time: 93.0878372192383s, input_fired_time: 1.46765613555908, output_fired_time: 0, propagate_forward_time: 89.0378875732422, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.58229064941406
validation[          , genome  6370] predictions:    5286/  10000 (52.86%), best:    5286/10000 (52.86%), error:     16606.37695, best error:     16606.37695 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1254.9860839844s, input_fired_time: 12.7474880219, output_fired_time: 10.2348098755, propagate_forward_time: 446.4403076172, propagate_backward_time: 771.1993408203, weight_update_time: 1.4067829847, other_time: 14.3641357422
epoch time: 97.7537002563s, input_fired_time: 1.4393237829, output_fired_time: 0.0000000000, propagate_forward_time: 93.7272186279, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5871582031
validation[          , genome  6370] predictions:    5130/  10000 (51.30%), best:    5130/10000 (51.30%), error:     15800.61719, best error:     15800.61719 on epoch:     1, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

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_1542692703_177_6370.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_177_6370_0_r2122245331_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: 0.547775
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0112813
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.00045125
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: 2
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 1
read number_validation_images: 10000
read best_validation_predictions: 5130
read best_validation_error: 15800.6
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: 6370
read normal distribution: '0 -1.00728833675385 -0.761156499385834'
generator_str: '133474380'
read generator: 133474380
read generated_by_map:
1 add_node 1
reading 90 nodes.
reading 351 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: 1225.97192382813s, input_fired_time: 12.3606224060059, output_fired_time: 10.0320301055908, propagate_forward_time: 442.555816650391, propagate_backward_time: 746.5400390625, weight_update_time: 1.41061007976532, other_time: 14.4835205078125
epoch time: 94.7878341674805s, input_fired_time: 1.51214969158173, output_fired_time: 0, propagate_forward_time: 90.6731109619141, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.60257720947266
validation[          , genome  6370] predictions:    5253/  10000 (52.53%), best:    5253/10000 (52.53%), error:     15370.54590, best error:     15370.54590 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1263.7053222656s, input_fired_time: 12.7122211456, output_fired_time: 11.3099670410, propagate_forward_time: 452.3350524902, propagate_backward_time: 773.6094970703, weight_update_time: 1.3542240858, other_time: 13.7385253906
epoch time: 93.4883422852s, input_fired_time: 1.4267222881, output_fired_time: 0.0000000000, propagate_forward_time: 89.4742660522, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5873565674
validation[          , genome  6370] predictions:    4974/  10000 (49.74%), best:    5253/10000 (52.53%), error:     17076.10156, best error:     15370.54590 on epoch:     2, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1247.0699462891s, input_fired_time: 12.5761194229, output_fired_time: 10.2926073074, propagate_forward_time: 446.9512329102, propagate_backward_time: 762.6876220703, weight_update_time: 1.4293814898, other_time: 14.5623168945
epoch time: 95.7180328369s, input_fired_time: 1.4408262968, output_fired_time: 0.0000000000, propagate_forward_time: 91.7248458862, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5523605347
validation[          , genome  6370] predictions:    4837/  10000 (48.37%), best:    5253/10000 (52.53%), error:     17056.35742, best error:     15370.54590 on epoch:     2, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1261.1586914063s, input_fired_time: 12.6471729279, output_fired_time: 10.3472633362, propagate_forward_time: 453.7552490234, propagate_backward_time: 770.5916748047, weight_update_time: 1.3262494802, other_time: 13.8172607422
epoch time: 93.2888870239s, input_fired_time: 1.4043276310, output_fired_time: 0.0000000000, propagate_forward_time: 89.2987213135, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5858383179
validation[          , genome  6370] predictions:    5189/  10000 (51.89%), best:    5253/10000 (52.53%), error:     15825.31934, best error:     15370.54590 on epoch:     2, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1244.6820068359s, input_fired_time: 12.4941558838, output_fired_time: 10.1923923492, propagate_forward_time: 447.2027587891, propagate_backward_time: 760.3604125977, weight_update_time: 1.4107611179, other_time: 14.4323120117
epoch time: 93.5136184692s, input_fired_time: 1.4197052717, output_fired_time: 0.0000000000, propagate_forward_time: 89.5045089722, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5894012451
validation[          , genome  6370] predictions:    5213/  10000 (52.13%), best:    5213/10000 (52.13%), error:     15219.31250, best error:     15219.31250 on epoch:     6, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1271.1409912109s, input_fired_time: 12.7111082077, output_fired_time: 10.4833955765, propagate_forward_time: 454.7798461914, propagate_backward_time: 779.5863647461, weight_update_time: 1.3260345459, other_time: 13.5803222656
epoch time: 94.4929504395s, input_fired_time: 1.4077974558, output_fired_time: 0.0000000000, propagate_forward_time: 90.4846572876, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6004943848
validation[          , genome  6370] predictions:    5172/  10000 (51.72%), best:    5172/10000 (51.72%), error:     15048.95996, best error:     15048.95996 on epoch:     7, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1251.7117919922s, input_fired_time: 12.4720430374, output_fired_time: 10.1966571808, propagate_forward_time: 452.4609375000, propagate_backward_time: 761.8660278320, weight_update_time: 1.4485540390, other_time: 14.7161254883
epoch time: 94.0367813110s, input_fired_time: 1.4173839092, output_fired_time: 0.0000000000, propagate_forward_time: 90.0260391235, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5933609009
validation[          , genome  6370] predictions:    5358/  10000 (53.58%), best:    5358/10000 (53.58%), error:     14568.71777, best error:     14568.71777 on epoch:     8, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1252.4484863281s, input_fired_time: 12.4794054031, output_fired_time: 10.2216358185, propagate_forward_time: 446.6825256348, propagate_backward_time: 768.7668457031, weight_update_time: 1.4101150036, other_time: 14.2980957031
epoch time: 93.7651290894s, input_fired_time: 1.4087570906, output_fired_time: 0.0000000000, propagate_forward_time: 89.7850875854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5712814331
validation[          , genome  6370] predictions:    5242/  10000 (52.42%), best:    5358/10000 (53.58%), error:     14811.75586, best error:     14568.71777 on epoch:     8, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1261.8426513672s, input_fired_time: 12.6717281342, output_fired_time: 10.4138097763, propagate_forward_time: 453.2146911621, propagate_backward_time: 771.5377197266, weight_update_time: 1.3623311520, other_time: 14.0046386719
epoch time: 94.4528045654s, input_fired_time: 1.4195580482, output_fired_time: 0.0000000000, propagate_forward_time: 90.4483718872, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5848770142
validation[          , genome  6370] predictions:    5275/  10000 (52.75%), best:    5358/10000 (53.58%), error:     14831.41699, best error:     14568.71777 on epoch:     8, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1253.8596191406s, input_fired_time: 12.6119451523, output_fired_time: 10.3100490570, propagate_forward_time: 449.6117553711, propagate_backward_time: 766.6235961914, weight_update_time: 1.4495428801, other_time: 14.7022705078
epoch time: 94.1951751709s, input_fired_time: 1.4406956434, output_fired_time: 0.0000000000, propagate_forward_time: 90.1454467773, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6090316772
validation[          , genome  6370] predictions:    5356/  10000 (53.56%), best:    5358/10000 (53.58%), error:     14601.41992, best error:     14568.71777 on epoch:     8, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1262.0867919922s, input_fired_time: 12.6476564407, output_fired_time: 10.3232774734, propagate_forward_time: 452.4689941406, propagate_backward_time: 772.3571777344, weight_update_time: 1.4203435183, other_time: 14.2896728516
epoch time: 94.5285186768s, input_fired_time: 1.4026213884, output_fired_time: 0.0000000000, propagate_forward_time: 90.5462646484, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5796356201
validation[          , genome  6370] predictions:    5249/  10000 (52.49%), best:    5358/10000 (53.58%), error:     15750.55859, best error:     14568.71777 on epoch:     8, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1259.5346679688s, input_fired_time: 12.6440906525, output_fired_time: 10.2866163254, propagate_forward_time: 452.2456359863, propagate_backward_time: 769.6724243164, weight_update_time: 1.4429428577, other_time: 14.6859741211
epoch time: 94.1341552734s, input_fired_time: 1.4192384481, output_fired_time: 0.0000000000, propagate_forward_time: 90.1191558838, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5957641602
validation[          , genome  6370] predictions:    5261/  10000 (52.61%), best:    5358/10000 (53.58%), error:     14995.50293, best error:     14568.71777 on epoch:     8, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1260.0065917969s, input_fired_time: 12.7162981033, output_fired_time: 10.2909698486, propagate_forward_time: 450.6141967773, propagate_backward_time: 771.9233398438, weight_update_time: 1.4290769100, other_time: 14.4617309570
epoch time: 94.8467712402s, input_fired_time: 1.4320782423, output_fired_time: 0.0000000000, propagate_forward_time: 90.7550201416, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6596755981
validation[          , genome  6370] predictions:    5346/  10000 (53.46%), best:    5358/10000 (53.58%), error:     15207.05371, best error:     14568.71777 on epoch:     8, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1264.2377929688s, input_fired_time: 12.7299242020, output_fired_time: 10.3313350677, propagate_forward_time: 453.2116088867, propagate_backward_time: 773.2109375000, weight_update_time: 1.5106410980, other_time: 14.7539672852
epoch time: 94.2440872192s, input_fired_time: 1.4333608150, output_fired_time: 0.0000000000, propagate_forward_time: 90.1989822388, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6117477417
validation[          , genome  6370] predictions:    5333/  10000 (53.33%), best:    5358/10000 (53.58%), error:     14756.39160, best error:     14568.71777 on epoch:     8, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1278.1209716797s, input_fired_time: 12.7677583694, output_fired_time: 11.2731904984, propagate_forward_time: 458.6005249023, propagate_backward_time: 780.3692016602, weight_update_time: 1.5044903755, other_time: 15.1103515625
epoch time: 94.9137191772s, input_fired_time: 1.4462370872, output_fired_time: 0.0000000000, propagate_forward_time: 90.8722000122, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5952835083
validation[          , genome  6370] predictions:    5587/  10000 (55.87%), best:    5587/10000 (55.87%), error:     14203.95508, best error:     14203.95508 on epoch:    16, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1264.1503906250s, input_fired_time: 12.7525997162, output_fired_time: 10.2993135452, propagate_forward_time: 452.4591064453, propagate_backward_time: 773.9387817383, weight_update_time: 1.4491090775, other_time: 14.7006225586
epoch time: 95.1046295166s, input_fired_time: 1.4398722649, output_fired_time: 0.0000000000, propagate_forward_time: 90.8344116211, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8303451538
validation[          , genome  6370] predictions:    5598/  10000 (55.98%), best:    5587/10000 (55.87%), error:     14383.95117, best error:     14203.95508 on epoch:    16, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1292.8134765625s, input_fired_time: 12.7766723633, output_fired_time: 10.3740434647, propagate_forward_time: 455.0504760742, propagate_backward_time: 800.4401245117, weight_update_time: 1.3856526613, other_time: 14.1722412109
epoch time: 95.3096389771s, input_fired_time: 1.4410115480, output_fired_time: 0.0000000000, propagate_forward_time: 91.3275070190, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5411224365
validation[          , genome  6370] predictions:    5642/  10000 (56.42%), best:    5642/10000 (56.42%), error:     13745.03027, best error:     13745.03027 on epoch:    18, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1267.3238525391s, input_fired_time: 12.8516082764, output_fired_time: 10.4365549088, propagate_forward_time: 454.3783874512, propagate_backward_time: 775.5172729492, weight_update_time: 1.3884545565, other_time: 14.1400756836
epoch time: 98.9301223755s, input_fired_time: 1.4675486088, output_fired_time: 0.0000000000, propagate_forward_time: 94.8271865845, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6353836060
validation[          , genome  6370] predictions:    5401/  10000 (54.01%), best:    5642/10000 (56.42%), error:     14313.10938, best error:     13745.03027 on epoch:    18, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1277.8514404297s, input_fired_time: 13.0005960464, output_fired_time: 10.4832468033, propagate_forward_time: 457.5133666992, propagate_backward_time: 781.9793090820, weight_update_time: 1.4655735493, other_time: 14.8748779297
epoch time: 97.0758972168s, input_fired_time: 1.4897924662, output_fired_time: 0.0000000000, propagate_forward_time: 92.9246978760, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6614074707
validation[          , genome  6370] predictions:    5641/  10000 (56.41%), best:    5641/10000 (56.41%), error:     13582.71094, best error:     13582.71094 on epoch:    20, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1276.0352783203s, input_fired_time: 12.9038991928, output_fired_time: 10.4266157150, propagate_forward_time: 456.3674011230, propagate_backward_time: 782.2628784180, weight_update_time: 1.3802692890, other_time: 14.0744018555
epoch time: 94.9581451416s, input_fired_time: 1.4537379742, output_fired_time: 0.0000000000, propagate_forward_time: 90.8725051880, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6319046021
validation[          , genome  6370] predictions:    5307/  10000 (53.07%), best:    5641/10000 (56.41%), error:     15101.47461, best error:     13582.71094 on epoch:    20, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1273.5761718750s, input_fired_time: 12.8375082016, output_fired_time: 10.4546089172, propagate_forward_time: 459.9945678711, propagate_backward_time: 775.5733642578, weight_update_time: 1.4474033117, other_time: 14.7161254883
epoch time: 96.5321121216s, input_fired_time: 1.4882913828, output_fired_time: 0.0000000000, propagate_forward_time: 92.4080352783, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6357879639
validation[          , genome  6370] predictions:    5759/  10000 (57.59%), best:    5641/10000 (56.41%), error:     13704.83789, best error:     13582.71094 on epoch:    20, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1281.2526855469s, input_fired_time: 13.1492147446, output_fired_time: 10.4509305954, propagate_forward_time: 457.4449157715, propagate_backward_time: 785.2740478516, weight_update_time: 1.4609379768, other_time: 14.9335937500
epoch time: 94.7530441284s, input_fired_time: 1.4646894932, output_fired_time: 0.0000000000, propagate_forward_time: 90.6216888428, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6666641235
validation[          , genome  6370] predictions:    5853/  10000 (58.53%), best:    5853/10000 (58.53%), error:     12881.47559, best error:     12881.47559 on epoch:    23, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1278.7580566406s, input_fired_time: 13.0279836655, output_fired_time: 10.5250654221, propagate_forward_time: 457.9754333496, propagate_backward_time: 782.8423461914, weight_update_time: 1.3960394859, other_time: 14.3872680664
epoch time: 100.9816360474s, input_fired_time: 1.4678744078, output_fired_time: 0.0000000000, propagate_forward_time: 96.9296798706, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5840835571
validation[          , genome  6370] predictions:    5544/  10000 (55.44%), best:    5853/10000 (58.53%), error:     14056.78711, best error:     12881.47559 on epoch:    23, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1285.6722412109s, input_fired_time: 13.1521339417, output_fired_time: 10.6602983475, propagate_forward_time: 461.2141723633, propagate_backward_time: 786.6763916016, weight_update_time: 1.3846484423, other_time: 13.9692993164
epoch time: 96.4924316406s, input_fired_time: 1.5219289064, output_fired_time: 0.0000000000, propagate_forward_time: 92.3715667725, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5989379883
validation[          , genome  6370] predictions:    5813/  10000 (58.13%), best:    5853/10000 (58.53%), error:     13109.56934, best error:     12881.47559 on epoch:    23, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 1284.5915527344s, input_fired_time: 13.0713748932, output_fired_time: 10.4820013046, propagate_forward_time: 460.5334777832, propagate_backward_time: 785.5203857422, weight_update_time: 1.5026037693, other_time: 14.9842529297
epoch time: 95.7049484253s, input_fired_time: 1.4918798208, output_fired_time: 0.0000000000, propagate_forward_time: 91.5718841553, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6411819458
validation[          , genome  6370] predictions:    5814/  10000 (58.14%), best:    5853/10000 (58.53%), error:     12983.87012, best error:     12881.47559 on epoch:    23, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 1277.2821044922s, input_fired_time: 12.9992446899, output_fired_time: 10.4299316406, propagate_forward_time: 462.3675537109, propagate_backward_time: 776.5606689453, weight_update_time: 1.4727756977, other_time: 14.9246826172
epoch time: 96.0500335693s, input_fired_time: 1.4879195690, output_fired_time: 0.0000000000, propagate_forward_time: 91.9159927368, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6461181641
validation[          , genome  6370] predictions:    5737/  10000 (57.37%), best:    5853/10000 (58.53%), error:     13355.45996, best error:     12881.47559 on epoch:    23, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 1277.6384277344s, input_fired_time: 13.0955305099, output_fired_time: 10.4889421463, propagate_forward_time: 458.6320800781, propagate_backward_time: 780.5529174805, weight_update_time: 1.4704279900, other_time: 14.8689575195
epoch time: 94.6295547485s, input_fired_time: 1.4847847223, output_fired_time: 0.0000000000, propagate_forward_time: 90.5445022583, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6002655029
validation[          , genome  6370] predictions:    5809/  10000 (58.09%), best:    5853/10000 (58.53%), error:     13074.07910, best error:     12881.47559 on epoch:    23, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 1275.5202636719s, input_fired_time: 13.0710983276, output_fired_time: 10.4958086014, propagate_forward_time: 457.2338867188, propagate_backward_time: 779.8474121094, weight_update_time: 1.4638963938, other_time: 14.8720703125
epoch time: 96.3269805908s, input_fired_time: 1.4898080826, output_fired_time: 0.0000000000, propagate_forward_time: 92.1282653809, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7089080811
validation[          , genome  6370] predictions:    5757/  10000 (57.57%), best:    5853/10000 (58.53%), error:     12993.34375, best error:     12881.47559 on epoch:    23, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 1267.9558105469s, input_fired_time: 12.9872121811, output_fired_time: 10.4054985046, propagate_forward_time: 455.0471191406, propagate_backward_time: 774.7182617188, weight_update_time: 1.4613945484, other_time: 14.7977294922
epoch time: 95.2287292480s, input_fired_time: 1.5049740076, output_fired_time: 0.0000000000, propagate_forward_time: 91.0889434814, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6348114014
validation[          , genome  6370] predictions:    5727/  10000 (57.27%), best:    5853/10000 (58.53%), error:     13245.80566, best error:     12881.47559 on epoch:    23, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 1288.2557373047s, input_fired_time: 13.0861024857, output_fired_time: 10.5206861496, propagate_forward_time: 458.8230590820, propagate_backward_time: 791.3673095703, weight_update_time: 1.4605015516, other_time: 14.4586791992
epoch time: 94.7324523926s, input_fired_time: 1.4921463728, output_fired_time: 0.0000000000, propagate_forward_time: 90.6180343628, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6222686768
validation[          , genome  6370] predictions:    5846/  10000 (58.46%), best:    5853/10000 (58.53%), error:     12940.74707, best error:     12881.47559 on epoch:    23, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1275.1828613281s, input_fired_time: 13.1249361038, output_fired_time: 10.4470577240, propagate_forward_time: 457.4263610840, propagate_backward_time: 779.8253173828, weight_update_time: 1.3967295885, other_time: 14.3592529297
epoch time: 95.1792526245s, input_fired_time: 1.5114756823, output_fired_time: 0.0000000000, propagate_forward_time: 91.0454406738, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6223373413
validation[          , genome  6370] predictions:    5927/  10000 (59.27%), best:    5927/10000 (59.27%), error:     12672.25879, best error:     12672.25879 on epoch:    32, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1276.9821777344s, input_fired_time: 13.1526346207, output_fired_time: 10.4416303635, propagate_forward_time: 459.0425720215, propagate_backward_time: 779.3657836914, weight_update_time: 1.4508154392, other_time: 14.9795532227
epoch time: 95.9368820190s, input_fired_time: 1.5178166628, output_fired_time: 0.0000000000, propagate_forward_time: 91.8172836304, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6017837524
validation[          , genome  6370] predictions:    5744/  10000 (57.44%), best:    5927/10000 (59.27%), error:     12983.74805, best error:     12672.25879 on epoch:    32, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1272.8114013672s, input_fired_time: 13.0244293213, output_fired_time: 10.3543529510, propagate_forward_time: 454.6878356934, propagate_backward_time: 780.0031738281, weight_update_time: 1.4424415827, other_time: 14.7415771484
epoch time: 94.8319320679s, input_fired_time: 1.4864079952, output_fired_time: 0.0000000000, propagate_forward_time: 90.7166824341, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6288452148
validation[          , genome  6370] predictions:    5975/  10000 (59.75%), best:    5975/10000 (59.75%), error:     12649.38184, best error:     12649.38184 on epoch:    34, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1258.9766845703s, input_fired_time: 12.9817743301, output_fired_time: 10.3385152817, propagate_forward_time: 452.1743164063, propagate_backward_time: 768.6439819336, weight_update_time: 1.4558420181, other_time: 14.8380737305
epoch time: 95.8156127930s, input_fired_time: 1.5477390289, output_fired_time: 0.0000000000, propagate_forward_time: 91.6718750000, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5960006714
validation[          , genome  6370] predictions:    5932/  10000 (59.32%), best:    5932/10000 (59.32%), error:     12441.53613, best error:     12441.53613 on epoch:    35, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1270.8793945313s, input_fired_time: 13.1522693634, output_fired_time: 10.3600835800, propagate_forward_time: 459.9628601074, propagate_backward_time: 772.5505981445, weight_update_time: 1.4814841747, other_time: 14.8535766602
epoch time: 106.4340896606s, input_fired_time: 1.5129801035, output_fired_time: 0.0000000000, propagate_forward_time: 102.2971038818, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6240081787
validation[          , genome  6370] predictions:    5907/  10000 (59.07%), best:    5932/10000 (59.32%), error:     12510.60059, best error:     12441.53613 on epoch:    35, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

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_1542692703_177_6370.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_177_6370_0_r2122245331_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: 0.916554
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00187363
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.49451e-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: 37
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 35
read number_validation_images: 10000
read best_validation_predictions: 5932
read best_validation_error: 12441.5
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: 6370
read normal distribution: '0 -1.00728833675385 -0.761156499385834'
generator_str: '262838549'
read generator: 262838549
read generated_by_map:
1 add_node 1
reading 90 nodes.
reading 351 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: 1253.56994628906s, input_fired_time: 17.79416847229, output_fired_time: 10.2014007568359, propagate_forward_time: 451.158538818359, propagate_backward_time: 760.643371582031, weight_update_time: 1.32196068763733, other_time: 13.7723999023438
epoch time: 95.8212509155273s, input_fired_time: 1.52288627624512, output_fired_time: 0, propagate_forward_time: 91.6934814453125, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.60488128662109
validation[          , genome  6370] predictions:    6003/  10000 (60.03%), best:    5932/10000 (59.32%), error:     12450.58984, best error:     12441.53613 on epoch:    35, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1274.6199951172s, input_fired_time: 13.2063255310, output_fired_time: 10.5108947754, propagate_forward_time: 457.0525817871, propagate_backward_time: 779.5695190430, weight_update_time: 1.3880418539, other_time: 14.2807006836
epoch time: 95.3228378296s, input_fired_time: 1.5064107180, output_fired_time: 0.0000000000, propagate_forward_time: 91.2344512939, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5819778442
validation[          , genome  6370] predictions:    5941/  10000 (59.41%), best:    5941/10000 (59.41%), error:     12418.55371, best error:     12418.55371 on epoch:    38, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1259.9528808594s, input_fired_time: 13.1922054291, output_fired_time: 10.3168163300, propagate_forward_time: 454.9319763184, propagate_backward_time: 767.0300903320, weight_update_time: 1.4125136137, other_time: 14.4817504883
epoch time: 95.0601272583s, input_fired_time: 1.5151979923, output_fired_time: 0.0000000000, propagate_forward_time: 90.9650344849, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5798950195
validation[          , genome  6370] predictions:    6036/  10000 (60.36%), best:    6036/10000 (60.36%), error:     12383.56934, best error:     12383.56934 on epoch:    39, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1263.8087158203s, input_fired_time: 13.0425758362, output_fired_time: 10.3287982941, propagate_forward_time: 451.5130615234, propagate_backward_time: 774.7708129883, weight_update_time: 1.3592789173, other_time: 14.1533813477
epoch time: 95.4622116089s, input_fired_time: 1.5181665421, output_fired_time: 0.0000000000, propagate_forward_time: 91.3433990479, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6006469727
validation[          , genome  6370] predictions:    5814/  10000 (58.14%), best:    6036/10000 (60.36%), error:     12895.12012, best error:     12383.56934 on epoch:    39, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1264.6367187500s, input_fired_time: 12.9856796265, output_fired_time: 10.3129711151, propagate_forward_time: 454.0346374512, propagate_backward_time: 772.8552246094, weight_update_time: 1.4166646004, other_time: 14.4481201172
epoch time: 94.0988388062s, input_fired_time: 1.5063854456, output_fired_time: 0.0000000000, propagate_forward_time: 89.9560470581, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6364059448
validation[          , genome  6370] predictions:    5859/  10000 (58.59%), best:    6036/10000 (60.36%), error:     12898.06348, best error:     12383.56934 on epoch:    39, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1260.7612304688s, input_fired_time: 13.1355829239, output_fired_time: 10.2921304703, propagate_forward_time: 454.1854248047, propagate_backward_time: 768.2728881836, weight_update_time: 1.4411361217, other_time: 14.8751831055
epoch time: 95.0908432007s, input_fired_time: 1.5169335604, output_fired_time: 0.0000000000, propagate_forward_time: 90.9564819336, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6174240112
validation[          , genome  6370] predictions:    6105/  10000 (61.05%), best:    6105/10000 (61.05%), error:     12115.68457, best error:     12115.68457 on epoch:    42, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1272.6226806641s, input_fired_time: 13.3288698196, output_fired_time: 10.5300483704, propagate_forward_time: 457.8270874023, propagate_backward_time: 777.4476928711, weight_update_time: 1.3498723507, other_time: 13.4890136719
epoch time: 94.6701126099s, input_fired_time: 1.5253573656, output_fired_time: 0.0000000000, propagate_forward_time: 90.5351791382, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6095733643
validation[          , genome  6370] predictions:    6017/  10000 (60.17%), best:    6105/10000 (61.05%), error:     12460.34766, best error:     12115.68457 on epoch:    42, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1273.0545654297s, input_fired_time: 13.2494192123, output_fired_time: 10.4313459396, propagate_forward_time: 461.1541442871, propagate_backward_time: 774.9393920898, weight_update_time: 1.2725480795, other_time: 13.2802124023
epoch time: 94.9570770264s, input_fired_time: 1.5347670317, output_fired_time: 0.0000000000, propagate_forward_time: 90.8330764771, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5892333984
validation[          , genome  6370] predictions:    5930/  10000 (59.30%), best:    6105/10000 (61.05%), error:     12660.93945, best error:     12115.68457 on epoch:    42, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1268.0062255859s, input_fired_time: 13.0746946335, output_fired_time: 10.3445863724, propagate_forward_time: 456.0063171387, propagate_backward_time: 773.9028320313, weight_update_time: 1.4382703304, other_time: 14.6777343750
epoch time: 95.5615844727s, input_fired_time: 1.5395295620, output_fired_time: 0.0000000000, propagate_forward_time: 91.3559036255, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6661529541
validation[          , genome  6370] predictions:    5957/  10000 (59.57%), best:    6105/10000 (61.05%), error:     12634.16992, best error:     12115.68457 on epoch:    42, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1263.6326904297s, input_fired_time: 13.2984905243, output_fired_time: 10.2822837830, propagate_forward_time: 455.6789855957, propagate_backward_time: 769.4473266602, weight_update_time: 1.4389697313, other_time: 14.9257202148
epoch time: 95.2657012939s, input_fired_time: 1.5306382179, output_fired_time: 0.0000000000, propagate_forward_time: 91.1211853027, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6138763428
validation[          , genome  6370] predictions:    5957/  10000 (59.57%), best:    6105/10000 (61.05%), error:     12497.91016, best error:     12115.68457 on epoch:    42, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1264.3361816406s, input_fired_time: 13.1416320801, output_fired_time: 10.3338098526, propagate_forward_time: 451.6757202148, propagate_backward_time: 775.4196166992, weight_update_time: 1.3428162336, other_time: 13.7653808594
epoch time: 94.0870208740s, input_fired_time: 1.5450903177, output_fired_time: 0.0000000000, propagate_forward_time: 89.9622039795, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5797271729
validation[          , genome  6370] predictions:    5925/  10000 (59.25%), best:    6105/10000 (61.05%), error:     12485.85352, best error:     12115.68457 on epoch:    42, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1257.4456787109s, input_fired_time: 13.0999298096, output_fired_time: 10.1531772614, propagate_forward_time: 453.2960815430, propagate_backward_time: 766.0892333984, weight_update_time: 1.4386196136, other_time: 14.8071899414
epoch time: 93.4038009644s, input_fired_time: 1.5199851990, output_fired_time: 0.0000000000, propagate_forward_time: 89.3088531494, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5749664307
validation[          , genome  6370] predictions:    6025/  10000 (60.25%), best:    6105/10000 (61.05%), error:     12346.26367, best error:     12115.68457 on epoch:    42, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1240.2277832031s, input_fired_time: 12.9362230301, output_fired_time: 10.1231145859, propagate_forward_time: 445.5775451660, propagate_backward_time: 757.1740722656, weight_update_time: 1.4101172686, other_time: 14.4167480469
epoch time: 92.6961441040s, input_fired_time: 1.5123356581, output_fired_time: 0.0000000000, propagate_forward_time: 88.5862121582, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5975952148
validation[          , genome  6370] predictions:    5970/  10000 (59.70%), best:    6105/10000 (61.05%), error:     12339.06152, best error:     12115.68457 on epoch:    42, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1235.9724121094s, input_fired_time: 12.9165105820, output_fired_time: 10.1662511826, propagate_forward_time: 443.6962585449, propagate_backward_time: 754.8606567383, weight_update_time: 1.3989644051, other_time: 14.3327026367
epoch time: 92.7319488525s, input_fired_time: 1.5180370808, output_fired_time: 0.0000000000, propagate_forward_time: 88.6313781738, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5825347900
validation[          , genome  6370] predictions:    5927/  10000 (59.27%), best:    6105/10000 (61.05%), error:     12634.65332, best error:     12115.68457 on epoch:    42, 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: 467.1410827637s, input_fired_time: 7.5375914574, output_fired_time: 0.0000000000, propagate_forward_time: 446.7008361816, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.9026489258
best training[          , genome  6370] predictions:   36514/  50000 (73.03%), best:    6105/10000 (61.05%), error:     39256.39453, best error:     12115.68457 on epoch:    42, 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: 93.8046493530s, input_fired_time: 1.5012516975, output_fired_time: 0.0000000000, propagate_forward_time: 89.7593765259, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5440216064
   testing[          , genome  6370] predictions:    6105/  10000 (61.05%), best:    6105/10000 (61.05%), error:     12115.68457, best error:     12115.68457 on epoch:    42, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
15:44:26 (5516): called boinc_finish(0)

</stderr_txt>
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