Nameexact_genome_1542649503_176_6339_0
Workunit4099381
Created20 Nov 2018, 2:10:10 UTC
Sent20 Nov 2018, 2:11:17 UTC
Report deadline8 Jan 2019, 16:13:03 UTC
Received21 Nov 2018, 18:10:44 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID80138
Run time12 hours 39 min 26 sec
CPU time12 hours 33 min 48 sec
Validate stateValid
Credit12,396.14
Device peak FLOPS4.49 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size525.23 MB
Peak swap size545.26 MB
Peak disk usage11.09 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_176_6339.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_176_6339_0_r1991004810_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542649503_176_6339.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: 6339
read normal distribution: '1 0 0'
generator_str: '1717913480'
read generator: 1717913480
read generated_by_map:
1 disable_edge 1
reading 92 nodes.
reading 375 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: 54224445
post shuffle 1: 1798075651
epoch time: 831.167175292969s, input_fired_time: 6.73244905471802, output_fired_time: 4.54653549194336, propagate_forward_time: 239.010635375977, propagate_backward_time: 573.871337890625, weight_update_time: 0.776259958744049, other_time: 7.00628662109375
epoch time: 49.6804046630859s, input_fired_time: 0.699140071868896, output_fired_time: 0, propagate_forward_time: 47.8105697631836, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.17069625854492
validation[          , genome  6339] predictions:    4510/  10000 (45.10%), best:    4510/10000 (45.10%), error:     22626.54688, best error:     22626.54688 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 831.4190673828s, input_fired_time: 6.7037396431, output_fired_time: 4.5526490211, propagate_forward_time: 238.9438934326, propagate_backward_time: 573.9659423828, weight_update_time: 0.7760322690, other_time: 7.2528076172
epoch time: 49.6082420349s, input_fired_time: 0.6849271059, output_fired_time: 0.0000000000, propagate_forward_time: 47.7551879883, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1681251526
validation[          , genome  6339] predictions:    4690/  10000 (46.90%), best:    4690/10000 (46.90%), error:     19151.07031, best error:     19151.07031 on epoch:     1, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 831.4307250977s, input_fired_time: 6.6508946419, output_fired_time: 4.5447783470, propagate_forward_time: 239.0455169678, propagate_backward_time: 574.0032348633, weight_update_time: 0.7776718736, other_time: 7.1862792969
epoch time: 49.5595169067s, input_fired_time: 0.6869994402, output_fired_time: 0.0000000000, propagate_forward_time: 47.7103958130, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1621208191
validation[          , genome  6339] predictions:    5175/  10000 (51.75%), best:    5175/10000 (51.75%), error:     16286.98145, best error:     16286.98145 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 831.0543823242s, input_fired_time: 6.6248521805, output_fired_time: 4.5448250771, propagate_forward_time: 239.0137176514, propagate_backward_time: 573.6941528320, weight_update_time: 0.7781882882, other_time: 7.1768188477
epoch time: 49.5585975647s, input_fired_time: 0.6826187968, output_fired_time: 0.0000000000, propagate_forward_time: 47.7099304199, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1660499573
validation[          , genome  6339] predictions:    4875/  10000 (48.75%), best:    5175/10000 (51.75%), error:     16869.75977, best error:     16286.98145 on epoch:     2, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 831.4042358398s, input_fired_time: 6.6055207253, output_fired_time: 4.5510711670, propagate_forward_time: 239.1268615723, propagate_backward_time: 573.9123535156, weight_update_time: 0.7763569951, other_time: 7.2083740234
epoch time: 49.5727386475s, input_fired_time: 0.6811296940, output_fired_time: 0.0000000000, propagate_forward_time: 47.7279396057, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1636695862
validation[          , genome  6339] predictions:    4943/  10000 (49.43%), best:    4943/10000 (49.43%), error:     15937.79590, best error:     15937.79590 on epoch:     4, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 830.4738159180s, input_fired_time: 6.5816102028, output_fired_time: 4.5552954674, propagate_forward_time: 238.8146362305, propagate_backward_time: 573.3650512695, weight_update_time: 0.7759826183, other_time: 7.1572265625
epoch time: 49.6289520264s, input_fired_time: 0.6756448150, output_fired_time: 0.0000000000, propagate_forward_time: 47.7866897583, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1666183472
validation[          , genome  6339] predictions:    5050/  10000 (50.50%), best:    4943/10000 (49.43%), error:     15975.67871, best error:     15937.79590 on epoch:     4, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 831.0484008789s, input_fired_time: 6.5786142349, output_fired_time: 4.5468630791, propagate_forward_time: 238.9473876953, propagate_backward_time: 573.7792968750, weight_update_time: 0.7774808407, other_time: 7.1962280273
epoch time: 49.5973052979s, input_fired_time: 0.6813502312, output_fired_time: 0.0000000000, propagate_forward_time: 47.7592697144, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1566848755
validation[          , genome  6339] predictions:    5154/  10000 (51.54%), best:    5154/10000 (51.54%), error:     15559.01855, best error:     15559.01855 on epoch:     6, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 831.0989379883s, input_fired_time: 6.5740489960, output_fired_time: 4.5480093956, propagate_forward_time: 238.8481903076, propagate_backward_time: 573.9155273438, weight_update_time: 0.7751928568, other_time: 7.2131347656
epoch time: 49.5924606323s, input_fired_time: 0.6825463772, output_fired_time: 0.0000000000, propagate_forward_time: 47.7396774292, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1702384949
validation[          , genome  6339] predictions:    5113/  10000 (51.13%), best:    5113/10000 (51.13%), error:     15478.16895, best error:     15478.16895 on epoch:     7, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 832.8019409180s, input_fired_time: 6.5930142403, output_fired_time: 4.5566887856, propagate_forward_time: 239.5503540039, propagate_backward_time: 574.8319091797, weight_update_time: 0.7775834203, other_time: 7.2699584961
epoch time: 49.6856918335s, input_fired_time: 0.6497515440, output_fired_time: 0.0000000000, propagate_forward_time: 47.8736839294, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1622581482
validation[          , genome  6339] predictions:    4898/  10000 (48.98%), best:    4898/10000 (48.98%), error:     15386.79980, best error:     15386.79980 on epoch:     8, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 834.5332031250s, input_fired_time: 6.6167116165, output_fired_time: 4.5759172440, propagate_forward_time: 239.9484252930, propagate_backward_time: 576.2060546875, weight_update_time: 0.7803907394, other_time: 7.1860961914
epoch time: 49.8286628723s, input_fired_time: 0.6860789061, output_fired_time: 0.0000000000, propagate_forward_time: 47.9813461304, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1612396240
validation[          , genome  6339] predictions:    5221/  10000 (52.21%), best:    5221/10000 (52.21%), error:     14777.96289, best error:     14777.96289 on epoch:     9, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 834.8644409180s, input_fired_time: 6.6232881546, output_fired_time: 4.5635452271, propagate_forward_time: 240.2085418701, propagate_backward_time: 576.2612915039, weight_update_time: 0.7799420357, other_time: 7.2077636719
epoch time: 49.7793426514s, input_fired_time: 0.6857600808, output_fired_time: 0.0000000000, propagate_forward_time: 47.9282188416, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1653633118
validation[          , genome  6339] predictions:    5152/  10000 (51.52%), best:    5221/10000 (52.21%), error:     15252.15918, best error:     14777.96289 on epoch:     9, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 834.3316040039s, input_fired_time: 6.5969862938, output_fired_time: 4.5679321289, propagate_forward_time: 239.8831329346, propagate_backward_time: 576.1071166992, weight_update_time: 0.7794941664, other_time: 7.1764526367
epoch time: 49.7205238342s, input_fired_time: 0.6856077909, output_fired_time: 0.0000000000, propagate_forward_time: 47.8733367920, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1615791321
validation[          , genome  6339] predictions:    5404/  10000 (54.04%), best:    5404/10000 (54.04%), error:     14455.66895, best error:     14455.66895 on epoch:    11, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 834.2808837891s, input_fired_time: 6.6186761856, output_fired_time: 4.5662260056, propagate_forward_time: 239.9158477783, propagate_backward_time: 575.9718627930, weight_update_time: 0.7826601863, other_time: 7.2083129883
epoch time: 49.7743034363s, input_fired_time: 0.6706457138, output_fired_time: 0.0000000000, propagate_forward_time: 47.9463005066, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1573562622
validation[          , genome  6339] predictions:    5380/  10000 (53.80%), best:    5380/10000 (53.80%), error:     14235.23340, best error:     14235.23340 on epoch:    12, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 834.3254394531s, input_fired_time: 6.6132202148, output_fired_time: 4.5668754578, propagate_forward_time: 239.9316864014, propagate_backward_time: 575.9683227539, weight_update_time: 0.7792220712, other_time: 7.2453002930
epoch time: 49.7696685791s, input_fired_time: 0.6800110340, output_fired_time: 0.0000000000, propagate_forward_time: 47.9329452515, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1567115784
validation[          , genome  6339] predictions:    4967/  10000 (49.67%), best:    5380/10000 (53.80%), error:     16894.89063, best error:     14235.23340 on epoch:    12, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 834.3111572266s, input_fired_time: 6.6276321411, output_fired_time: 4.5693769455, propagate_forward_time: 239.8804016113, propagate_backward_time: 575.9978027344, weight_update_time: 0.7782717347, other_time: 7.2359619141
epoch time: 49.8315620422s, input_fired_time: 0.6881667972, output_fired_time: 0.0000000000, propagate_forward_time: 47.9810867310, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1623077393
validation[          , genome  6339] predictions:    5540/  10000 (55.40%), best:    5540/10000 (55.40%), error:     13607.95117, best error:     13607.95117 on epoch:    14, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 833.5406494141s, input_fired_time: 6.6207599640, output_fired_time: 4.5584573746, propagate_forward_time: 239.6716613770, propagate_backward_time: 575.4491577148, weight_update_time: 0.7776553631, other_time: 7.2405395508
epoch time: 49.6545715332s, input_fired_time: 0.6856424809, output_fired_time: 0.0000000000, propagate_forward_time: 47.8032455444, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1656837463
validation[          , genome  6339] predictions:    5530/  10000 (55.30%), best:    5530/10000 (55.30%), error:     13483.91113, best error:     13483.91113 on epoch:    15, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 830.9931640625s, input_fired_time: 6.6001796722, output_fired_time: 4.5484561920, propagate_forward_time: 239.0867309570, propagate_backward_time: 573.5629272461, weight_update_time: 0.7761953473, other_time: 7.1948852539
epoch time: 49.5721931458s, input_fired_time: 0.6884343624, output_fired_time: 0.0000000000, propagate_forward_time: 47.7138252258, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1699333191
validation[          , genome  6339] predictions:    5345/  10000 (53.45%), best:    5530/10000 (55.30%), error:     14800.37793, best error:     13483.91113 on epoch:    15, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 832.9475097656s, input_fired_time: 6.6190333366, output_fired_time: 4.5435147285, propagate_forward_time: 239.6077880859, propagate_backward_time: 575.0097045898, weight_update_time: 0.7805131674, other_time: 7.1674804688
epoch time: 49.5934371948s, input_fired_time: 0.6951037645, output_fired_time: 0.0000000000, propagate_forward_time: 47.7245903015, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1737442017
validation[          , genome  6339] predictions:    5528/  10000 (55.28%), best:    5530/10000 (55.30%), error:     13948.12500, best error:     13483.91113 on epoch:    15, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 831.4918823242s, input_fired_time: 6.6203651428, output_fired_time: 4.5480737686, propagate_forward_time: 239.0275115967, propagate_backward_time: 574.1525878906, weight_update_time: 0.7753533125, other_time: 7.1433105469
epoch time: 49.5976028442s, input_fired_time: 0.6803197265, output_fired_time: 0.0000000000, propagate_forward_time: 47.7433967590, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1738853455
validation[          , genome  6339] predictions:    5539/  10000 (55.39%), best:    5530/10000 (55.30%), error:     13633.17188, best error:     13483.91113 on epoch:    15, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 831.1401367188s, input_fired_time: 6.6219062805, output_fired_time: 4.5445404053, propagate_forward_time: 238.9602661133, propagate_backward_time: 573.8208618164, weight_update_time: 0.7757530808, other_time: 7.1925659180
epoch time: 49.6582336426s, input_fired_time: 0.6709841490, output_fired_time: 0.0000000000, propagate_forward_time: 47.8292579651, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1579933167
validation[          , genome  6339] predictions:    5142/  10000 (51.42%), best:    5530/10000 (55.30%), error:     15376.29980, best error:     13483.91113 on epoch:    15, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 831.0639648438s, input_fired_time: 6.6313428879, output_fired_time: 4.5446996689, propagate_forward_time: 239.1386718750, propagate_backward_time: 573.5614013672, weight_update_time: 0.7758318782, other_time: 7.1878662109
epoch time: 49.5785560608s, input_fired_time: 0.6889032125, output_fired_time: 0.0000000000, propagate_forward_time: 47.7245788574, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1650733948
validation[          , genome  6339] predictions:    5462/  10000 (54.62%), best:    5530/10000 (55.30%), error:     13992.30957, best error:     13483.91113 on epoch:    15, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 830.9221191406s, input_fired_time: 6.6233539581, output_fired_time: 4.5429053307, propagate_forward_time: 238.9266204834, propagate_backward_time: 573.6586914063, weight_update_time: 0.7769047618, other_time: 7.1705322266
epoch time: 49.6525917053s, input_fired_time: 0.6934192777, output_fired_time: 0.0000000000, propagate_forward_time: 47.7832832336, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1758880615
validation[          , genome  6339] predictions:    5678/  10000 (56.78%), best:    5678/10000 (56.78%), error:     12950.28809, best error:     12950.28809 on epoch:    21, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 831.0736694336s, input_fired_time: 6.6421113014, output_fired_time: 4.5439038277, propagate_forward_time: 238.9406127930, propagate_backward_time: 573.7253417969, weight_update_time: 0.7845098972, other_time: 7.2217407227
epoch time: 49.5927772522s, input_fired_time: 0.6689735651, output_fired_time: 0.0000000000, propagate_forward_time: 47.7234420776, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2003631592
validation[          , genome  6339] predictions:    5463/  10000 (54.63%), best:    5678/10000 (56.78%), error:     13749.67969, best error:     12950.28809 on epoch:    21, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 831.1130981445s, input_fired_time: 6.6575140953, output_fired_time: 4.5475273132, propagate_forward_time: 238.8930816650, propagate_backward_time: 573.8548583984, weight_update_time: 0.7749657631, other_time: 7.1600952148
epoch time: 49.5839347839s, input_fired_time: 0.6796358824, output_fired_time: 0.0000000000, propagate_forward_time: 47.7411689758, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1631317139
validation[          , genome  6339] predictions:    5516/  10000 (55.16%), best:    5678/10000 (56.78%), error:     13649.35938, best error:     12950.28809 on epoch:    21, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 831.6562500000s, input_fired_time: 6.6649341583, output_fired_time: 4.5539841652, propagate_forward_time: 239.2050323486, propagate_backward_time: 574.0233154297, weight_update_time: 0.7760916352, other_time: 7.2090454102
epoch time: 49.5488128662s, input_fired_time: 0.6975951195, output_fired_time: 0.0000000000, propagate_forward_time: 47.6834945679, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1677246094
validation[          , genome  6339] predictions:    5729/  10000 (57.29%), best:    5729/10000 (57.29%), error:     12790.21387, best error:     12790.21387 on epoch:    24, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 830.8695068359s, input_fired_time: 6.6710720062, output_fired_time: 4.5468912125, propagate_forward_time: 238.8999023438, propagate_backward_time: 573.5398559570, weight_update_time: 0.7759473324, other_time: 7.2117919922
epoch time: 49.6228523254s, input_fired_time: 0.6974287629, output_fired_time: 0.0000000000, propagate_forward_time: 47.7477035522, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1777191162
validation[          , genome  6339] predictions:    5817/  10000 (58.17%), best:    5817/10000 (58.17%), error:     12720.84961, best error:     12720.84961 on epoch:    25, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 831.8706054688s, input_fired_time: 6.6930456161, output_fired_time: 4.5523953438, propagate_forward_time: 239.1733093262, propagate_backward_time: 574.2611694336, weight_update_time: 0.7764472961, other_time: 7.1907348633
epoch time: 49.5679054260s, input_fired_time: 0.6808063984, output_fired_time: 0.0000000000, propagate_forward_time: 47.7088775635, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1782226563
validation[          , genome  6339] predictions:    5661/  10000 (56.61%), best:    5817/10000 (58.17%), error:     13375.88281, best error:     12720.84961 on epoch:    25, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 833.7672119141s, input_fired_time: 6.7109651566, output_fired_time: 4.5805540085, propagate_forward_time: 239.9562835693, propagate_backward_time: 575.2732543945, weight_update_time: 0.7791728377, other_time: 7.2461547852
epoch time: 49.9361343384s, input_fired_time: 0.7061559558, output_fired_time: 0.0000000000, propagate_forward_time: 48.0520973206, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1778793335
validation[          , genome  6339] predictions:    5631/  10000 (56.31%), best:    5817/10000 (58.17%), error:     13262.44141, best error:     12720.84961 on epoch:    25, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 846.4239501953s, input_fired_time: 6.8426899910, output_fired_time: 4.6678919792, propagate_forward_time: 243.9788970947, propagate_backward_time: 583.8944091797, weight_update_time: 0.7893542051, other_time: 7.0400390625
epoch time: 50.5353469849s, input_fired_time: 0.7099561095, output_fired_time: 0.0000000000, propagate_forward_time: 48.6323547363, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1930351257
validation[          , genome  6339] predictions:    5823/  10000 (58.23%), best:    5823/10000 (58.23%), error:     12598.18164, best error:     12598.18164 on epoch:    28, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 848.0464477539s, input_fired_time: 6.8596653938, output_fired_time: 4.6806440353, propagate_forward_time: 243.9190521240, propagate_backward_time: 585.7159423828, weight_update_time: 0.8026685715, other_time: 6.8710937500
epoch time: 50.8896827698s, input_fired_time: 0.7290027142, output_fired_time: 0.0000000000, propagate_forward_time: 48.9477767944, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2129020691
validation[          , genome  6339] predictions:    5932/  10000 (59.32%), best:    5932/10000 (59.32%), error:     12363.25000, best error:     12363.25000 on epoch:    29, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 837.4837646484s, input_fired_time: 6.7505502701, output_fired_time: 4.6079854965, propagate_forward_time: 241.0921630859, propagate_backward_time: 578.3421020508, weight_update_time: 0.7857456803, other_time: 6.6909790039
epoch time: 49.8500366211s, input_fired_time: 0.7145510316, output_fired_time: 0.0000000000, propagate_forward_time: 47.9543228149, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1811637878
validation[          , genome  6339] predictions:    5690/  10000 (56.90%), best:    5932/10000 (59.32%), error:     12956.06055, best error:     12363.25000 on epoch:    29, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 840.2770996094s, input_fired_time: 6.8235254288, output_fired_time: 4.6224060059, propagate_forward_time: 241.5137023926, propagate_backward_time: 580.3424682617, weight_update_time: 0.7946112156, other_time: 6.9750366211
epoch time: 50.2788085938s, input_fired_time: 0.7143890858, output_fired_time: 0.0000000000, propagate_forward_time: 48.3694496155, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1949691772
validation[          , genome  6339] predictions:    5707/  10000 (57.07%), best:    5932/10000 (59.32%), error:     13112.70898, best error:     12363.25000 on epoch:    29, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 837.5411987305s, input_fired_time: 6.7715806961, output_fired_time: 4.6056442261, propagate_forward_time: 240.8840637207, propagate_backward_time: 578.5911865234, weight_update_time: 0.7834990621, other_time: 6.6887207031
epoch time: 49.8868904114s, input_fired_time: 0.7078179717, output_fired_time: 0.0000000000, propagate_forward_time: 48.0009613037, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1781120300
validation[          , genome  6339] predictions:    5766/  10000 (57.66%), best:    5932/10000 (59.32%), error:     12568.94531, best error:     12363.25000 on epoch:    29, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 838.9741210938s, input_fired_time: 6.7877941132, output_fired_time: 4.6201181412, propagate_forward_time: 241.2676086426, propagate_backward_time: 579.5744628906, weight_update_time: 0.7846328616, other_time: 6.7241210938
epoch time: 49.9459381104s, input_fired_time: 0.7049351335, output_fired_time: 0.0000000000, propagate_forward_time: 48.0559120178, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1850891113
validation[          , genome  6339] predictions:    5758/  10000 (57.58%), best:    5932/10000 (59.32%), error:     13313.80859, best error:     12363.25000 on epoch:    29, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 837.3918457031s, input_fired_time: 6.7883410454, output_fired_time: 4.6223506927, propagate_forward_time: 240.7108917236, propagate_backward_time: 578.5851440430, weight_update_time: 0.7863487005, other_time: 6.6851196289
epoch time: 51.5392417908s, input_fired_time: 0.7600359321, output_fired_time: 0.0000000000, propagate_forward_time: 49.5936431885, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1855621338
validation[          , genome  6339] predictions:    5841/  10000 (58.41%), best:    5932/10000 (59.32%), error:     12460.61914, best error:     12363.25000 on epoch:    29, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 840.2418823242s, input_fired_time: 6.8221855164, output_fired_time: 4.6195182800, propagate_forward_time: 241.9401245117, propagate_backward_time: 579.9962158203, weight_update_time: 0.7915031910, other_time: 6.8638305664
epoch time: 49.8559417725s, input_fired_time: 0.7184190154, output_fired_time: 0.0000000000, propagate_forward_time: 47.9423294067, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1951942444
validation[          , genome  6339] predictions:    5915/  10000 (59.15%), best:    5932/10000 (59.32%), error:     12390.94629, best error:     12363.25000 on epoch:    29, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 840.1368408203s, input_fired_time: 6.8374977112, output_fired_time: 4.6280035973, propagate_forward_time: 241.4568939209, propagate_backward_time: 580.4780883789, weight_update_time: 0.7866125107, other_time: 6.7363281250
epoch time: 49.9170951843s, input_fired_time: 0.7263932824, output_fired_time: 0.0000000000, propagate_forward_time: 48.0158348083, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1748657227
validation[          , genome  6339] predictions:    5919/  10000 (59.19%), best:    5932/10000 (59.32%), error:     12389.38379, best error:     12363.25000 on epoch:    29, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 839.1665039063s, input_fired_time: 6.8365073204, output_fired_time: 4.6215157509, propagate_forward_time: 241.4766845703, propagate_backward_time: 579.1465454102, weight_update_time: 0.7884634137, other_time: 7.0852661133
epoch time: 50.0612068176s, input_fired_time: 0.7038670778, output_fired_time: 0.0000000000, propagate_forward_time: 48.1707458496, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1865921021
validation[          , genome  6339] predictions:    5764/  10000 (57.64%), best:    5932/10000 (59.32%), error:     12913.59180, best error:     12363.25000 on epoch:    29, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 840.9793090820s, input_fired_time: 6.8537225723, output_fired_time: 4.6156153679, propagate_forward_time: 241.5425415039, propagate_backward_time: 580.7512207031, weight_update_time: 0.7885556221, other_time: 7.2162475586
epoch time: 49.9584350586s, input_fired_time: 0.7216818333, output_fired_time: 0.0000000000, propagate_forward_time: 48.0475921631, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1891593933
validation[          , genome  6339] predictions:    5958/  10000 (59.58%), best:    5932/10000 (59.32%), error:     12503.47656, best error:     12363.25000 on epoch:    29, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 843.8835449219s, input_fired_time: 6.8842630386, output_fired_time: 4.6560792923, propagate_forward_time: 242.3754577637, propagate_backward_time: 582.7612304688, weight_update_time: 0.7907341123, other_time: 7.2065429688
epoch time: 50.0739479065s, input_fired_time: 0.7272512913, output_fired_time: 0.0000000000, propagate_forward_time: 48.1681213379, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1785736084
validation[          , genome  6339] predictions:    5725/  10000 (57.25%), best:    5932/10000 (59.32%), error:     13311.76563, best error:     12363.25000 on epoch:    29, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 840.9801025391s, input_fired_time: 6.8595991135, output_fired_time: 4.6329174042, propagate_forward_time: 241.7225189209, propagate_backward_time: 580.5831298828, weight_update_time: 0.7937641740, other_time: 7.1818847656
epoch time: 49.9721717834s, input_fired_time: 0.7268146276, output_fired_time: 0.0000000000, propagate_forward_time: 48.0672950745, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1780624390
validation[          , genome  6339] predictions:    5830/  10000 (58.30%), best:    5932/10000 (59.32%), error:     12622.65234, best error:     12363.25000 on epoch:    29, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 839.0157470703s, input_fired_time: 6.8437638283, output_fired_time: 4.6146450043, propagate_forward_time: 241.0761718750, propagate_backward_time: 579.3718872070, weight_update_time: 0.7895188332, other_time: 7.1093139648
epoch time: 50.3946075439s, input_fired_time: 0.7255737185, output_fired_time: 0.0000000000, propagate_forward_time: 48.4849853516, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1840476990
validation[          , genome  6339] predictions:    5987/  10000 (59.87%), best:    5932/10000 (59.32%), error:     12520.22070, best error:     12363.25000 on epoch:    29, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 841.4739379883s, input_fired_time: 6.8949518204, output_fired_time: 4.6361246109, propagate_forward_time: 242.1125335693, propagate_backward_time: 580.8956298828, weight_update_time: 0.7898671627, other_time: 6.9346923828
epoch time: 50.0195121765s, input_fired_time: 0.7280002236, output_fired_time: 0.0000000000, propagate_forward_time: 48.1174011230, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1741104126
validation[          , genome  6339] predictions:    5895/  10000 (58.95%), best:    5932/10000 (59.32%), error:     12451.28613, best error:     12363.25000 on epoch:    29, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 838.9120483398s, input_fired_time: 6.8585305214, output_fired_time: 4.6115798950, propagate_forward_time: 241.2500305176, propagate_backward_time: 579.5311889648, weight_update_time: 0.7872244716, other_time: 6.6607055664
epoch time: 50.1414299011s, input_fired_time: 0.7269380689, output_fired_time: 0.0000000000, propagate_forward_time: 48.2330245972, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1814689636
validation[          , genome  6339] predictions:    5848/  10000 (58.48%), best:    5932/10000 (59.32%), error:     12743.50879, best error:     12363.25000 on epoch:    29, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 837.7956542969s, input_fired_time: 6.8878493309, output_fired_time: 4.6095356941, propagate_forward_time: 240.9796447754, propagate_backward_time: 578.6406250000, weight_update_time: 0.7833925486, other_time: 6.6779785156
epoch time: 50.1059150696s, input_fired_time: 0.7340761423, output_fired_time: 0.0000000000, propagate_forward_time: 48.1930923462, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1787452698
validation[          , genome  6339] predictions:    5911/  10000 (59.11%), best:    5932/10000 (59.32%), error:     12531.26172, best error:     12363.25000 on epoch:    29, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 839.3875732422s, input_fired_time: 6.8968977928, output_fired_time: 4.6273159981, propagate_forward_time: 241.4152832031, propagate_backward_time: 579.7484130859, weight_update_time: 0.7916964889, other_time: 6.6996459961
epoch time: 49.9376564026s, input_fired_time: 0.7317052484, output_fired_time: 0.0000000000, propagate_forward_time: 48.0307617188, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1751899719
validation[          , genome  6339] predictions:    5906/  10000 (59.06%), best:    5906/10000 (59.06%), error:     12347.50195, best error:     12347.50195 on epoch:    45, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 838.0609741211s, input_fired_time: 6.8857288361, output_fired_time: 4.6065778732, propagate_forward_time: 240.9573822021, propagate_backward_time: 578.7866821289, weight_update_time: 0.8651405573, other_time: 6.8245849609
epoch time: 50.8938331604s, input_fired_time: 0.7334708571, output_fired_time: 0.0000000000, propagate_forward_time: 48.9707221985, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1896400452
validation[          , genome  6339] predictions:    5947/  10000 (59.47%), best:    5906/10000 (59.06%), error:     12515.13867, best error:     12347.50195 on epoch:    45, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 844.6723022461s, input_fired_time: 6.9424929619, output_fired_time: 4.6655206680, propagate_forward_time: 243.2492828369, propagate_backward_time: 582.6734619141, weight_update_time: 0.7964309454, other_time: 7.1415405273
epoch time: 49.9051094055s, input_fired_time: 0.7329142690, output_fired_time: 0.0000000000, propagate_forward_time: 47.9816551208, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1905403137
validation[          , genome  6339] predictions:    5907/  10000 (59.07%), best:    5907/10000 (59.07%), error:     12263.70996, best error:     12263.70996 on epoch:    47, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 847.2167968750s, input_fired_time: 6.9989218712, output_fired_time: 4.7019319534, propagate_forward_time: 244.1252136230, propagate_backward_time: 584.4925537109, weight_update_time: 0.8047900796, other_time: 6.8981933594
epoch time: 51.8660011292s, input_fired_time: 0.7631566525, output_fired_time: 0.0000000000, propagate_forward_time: 49.8714408875, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2314033508
validation[          , genome  6339] predictions:    6051/  10000 (60.51%), best:    6051/10000 (60.51%), error:     11993.57910, best error:     11993.57910 on epoch:    48, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 842.4976196289s, input_fired_time: 6.9194393158, output_fired_time: 4.6703438759, propagate_forward_time: 241.8442382813, propagate_backward_time: 582.2073974609, weight_update_time: 0.7956536412, other_time: 6.8562011719
epoch time: 49.9531936646s, input_fired_time: 0.7307309508, output_fired_time: 0.0000000000, propagate_forward_time: 48.0359954834, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1864662170
validation[          , genome  6339] predictions:    5990/  10000 (59.90%), best:    6051/10000 (60.51%), error:     12174.71973, best error:     11993.57910 on epoch:    48, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 839.3782958984s, input_fired_time: 6.8942551613, output_fired_time: 4.6203842163, propagate_forward_time: 241.6050415039, propagate_backward_time: 579.4321289063, weight_update_time: 0.7898770571, other_time: 6.8265380859
epoch time: 50.4647598267s, input_fired_time: 0.7296172380, output_fired_time: 0.0000000000, propagate_forward_time: 48.5277938843, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2073478699
validation[          , genome  6339] predictions:    5808/  10000 (58.08%), best:    6051/10000 (60.51%), error:     12632.00781, best error:     11993.57910 on epoch:    48, 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: 251.0125732422s, input_fired_time: 3.6789908409, output_fired_time: 0.0000000000, propagate_forward_time: 241.7382354736, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5953521729
best training[          , genome  6339] predictions:   36468/  50000 (72.94%), best:    6051/10000 (60.51%), error:     38803.67188, best error:     11993.57910 on epoch:    48, 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: 51.7415390015s, input_fired_time: 0.7337012887, output_fired_time: 0.0000000000, propagate_forward_time: 48.4035606384, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6042785645
   testing[          , genome  6339] predictions:    6051/  10000 (60.51%), best:    6051/10000 (60.51%), error:     11993.57910, best error:     11993.57910 on epoch:    48, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
13:10:26 (6648): called boinc_finish(0)

</stderr_txt>
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