Nameexact_genome_1540746903_183_5329_0
Workunit4075237
Created28 Oct 2018, 19:40:18 UTC
Sent28 Oct 2018, 20:13:03 UTC
Report deadline29 Dec 2018, 22:31:47 UTC
Received9 Dec 2018, 16:35:43 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64195
Run time1 days 6 hours 5 min 56 sec
CPU time1 days 4 hours 58 min 42 sec
Validate stateValid
Credit15,524.09
Device peak FLOPS3.80 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size514.28 MB
Peak swap size533.98 MB
Peak disk usage8.33 MB

Stderr output

<core_client_version>7.12.1</core_client_version>
<![CDATA[
<stderr_txt>
_decay: 0.0000874123

epoch time: 1422.4927978516s, input_fired_time: 9.4061985016, output_fired_time: 8.1495199203, propagate_forward_time: 548.8745727539, propagate_backward_time: 841.6102294922, weight_update_time: 0.7804941535, other_time: 14.4522094727
epoch time: 97.0891036987s, input_fired_time: 0.9961893559, output_fired_time: 0.0000000000, propagate_forward_time: 93.8950881958, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1978225708
validation[          , genome  5329] predictions:    5722/  10000 (57.22%), best:    5722/10000 (57.22%), error:     12962.82910, best error:     12962.82910 on epoch:    35, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1280.1746826172s, input_fired_time: 8.3558149338, output_fired_time: 7.5715160370, propagate_forward_time: 492.5330810547, propagate_backward_time: 759.2423706055, weight_update_time: 0.7686831355, other_time: 12.4718627930
epoch time: 104.9553146362s, input_fired_time: 1.1079701185, output_fired_time: 0.0000000000, propagate_forward_time: 101.5745544434, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2727890015
validation[          , genome  5329] predictions:    5679/  10000 (56.79%), best:    5722/10000 (57.22%), error:     13068.19531, best error:     12962.82910 on epoch:    35, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1217.2670898438s, input_fired_time: 7.7454233170, output_fired_time: 7.2316436768, propagate_forward_time: 467.0083923340, propagate_backward_time: 723.2078857422, weight_update_time: 0.6902557611, other_time: 12.0736083984
epoch time: 98.1977615356s, input_fired_time: 1.0695295334, output_fired_time: 0.0000000000, propagate_forward_time: 94.9510574341, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1771774292
validation[          , genome  5329] predictions:    5512/  10000 (55.12%), best:    5722/10000 (57.22%), error:     13688.99414, best error:     12962.82910 on epoch:    35, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1228.1549072266s, input_fired_time: 8.1856241226, output_fired_time: 7.0189895630, propagate_forward_time: 470.5091552734, propagate_backward_time: 730.5313110352, weight_update_time: 0.7218174338, other_time: 11.9097290039
epoch time: 95.6493835449s, input_fired_time: 0.9787167907, output_fired_time: 0.0000000000, propagate_forward_time: 92.4744720459, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1961975098
validation[          , genome  5329] predictions:    5715/  10000 (57.15%), best:    5715/10000 (57.15%), error:     12948.23047, best error:     12948.23047 on epoch:    38, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1223.5648193359s, input_fired_time: 8.1012649536, output_fired_time: 6.8912811279, propagate_forward_time: 470.6046752930, propagate_backward_time: 725.8220214844, weight_update_time: 0.7091633677, other_time: 12.1455688477
epoch time: 94.5076141357s, input_fired_time: 1.0392038822, output_fired_time: 0.0000000000, propagate_forward_time: 91.2165069580, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2518997192
validation[          , genome  5329] predictions:    5670/  10000 (56.70%), best:    5670/10000 (56.70%), error:     12883.22070, best error:     12883.22070 on epoch:    39, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1194.2314453125s, input_fired_time: 7.4321799278, output_fired_time: 7.0873885155, propagate_forward_time: 458.3014526367, propagate_backward_time: 709.5582275391, weight_update_time: 0.6589513421, other_time: 11.8522338867
epoch time: 94.7459869385s, input_fired_time: 1.0124989748, output_fired_time: 0.0000000000, propagate_forward_time: 91.6190567017, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1144332886
validation[          , genome  5329] predictions:    5646/  10000 (56.46%), best:    5646/10000 (56.46%), error:     12866.98535, best error:     12866.98535 on epoch:    40, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1205.5186767578s, input_fired_time: 7.8665523529, output_fired_time: 7.1098060608, propagate_forward_time: 463.9036865234, propagate_backward_time: 714.4283447266, weight_update_time: 0.7855052948, other_time: 12.2102050781
epoch time: 92.0463638306s, input_fired_time: 0.9240691662, output_fired_time: 0.0000000000, propagate_forward_time: 88.8278121948, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2944793701
validation[          , genome  5329] predictions:    5756/  10000 (57.56%), best:    5756/10000 (57.56%), error:     12699.85645, best error:     12699.85645 on epoch:    41, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1276.4030761719s, input_fired_time: 8.2693977356, output_fired_time: 7.1920461655, propagate_forward_time: 488.3927307129, propagate_backward_time: 759.6643066406, weight_update_time: 0.6916289926, other_time: 12.8846435547
epoch time: 96.1769485474s, input_fired_time: 0.9233191013, output_fired_time: 0.0000000000, propagate_forward_time: 93.0856857300, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1679458618
validation[          , genome  5329] predictions:    5782/  10000 (57.82%), best:    5782/10000 (57.82%), error:     12695.32422, best error:     12695.32422 on epoch:    42, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

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_1540746903_183_5329.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540746903_183_5329_0_r281672189_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: 0.93601
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00137729
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 5.50915e-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: 43
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 42
read number_validation_images: 10000
read best_validation_predictions: 5782
read best_validation_error: 12695.3
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: 5329
read normal distribution: '1 0.211210057139397 -0.911927819252014'
generator_str: '1863329896'
read generator: 1863329896
read generated_by_map:
1 change_size 1
reading 57 nodes.
reading 223 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1540746903_183_5329.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540746903_183_5329_0_r281672189_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: 0.93601
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00137729
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 5.50915e-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: 43
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 42
read number_validation_images: 10000
read best_validation_predictions: 5782
read best_validation_error: 12695.3
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: 5329
read normal distribution: '1 0.211210057139397 -0.911927819252014'
generator_str: '1863329896'
read generator: 1863329896
read generated_by_map:
1 change_size 1
reading 57 nodes.
reading 223 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: 1142.30895996094s, input_fired_time: 11.3685312271118, output_fired_time: 9.64551734924316, propagate_forward_time: 427.234832763672, propagate_backward_time: 666.669372558594, weight_update_time: 1.34884417057037, other_time: 27.3906860351563
epoch time: 90.0132369995117s, input_fired_time: 1.52878057956696, output_fired_time: 0, propagate_forward_time: 84.2841491699219, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.20030975341797
validation[          , genome  5329] predictions:    5581/  10000 (55.81%), best:    5782/10000 (57.82%), error:     13398.18945, best error:     12695.32422 on epoch:    42, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1149.0090332031s, input_fired_time: 12.0217771530, output_fired_time: 9.8975086212, propagate_forward_time: 428.5373535156, propagate_backward_time: 669.6977539063, weight_update_time: 1.3935465813, other_time: 28.8547363281
epoch time: 89.9261474609s, input_fired_time: 1.5786101818, output_fired_time: 0.0000000000, propagate_forward_time: 84.0205001831, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.3270339966
validation[          , genome  5329] predictions:    5789/  10000 (57.89%), best:    5782/10000 (57.82%), error:     12753.79102, best error:     12695.32422 on epoch:    42, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1133.1051025391s, input_fired_time: 10.4159412384, output_fired_time: 8.7325458527, propagate_forward_time: 426.8138122559, propagate_backward_time: 663.1703491211, weight_update_time: 1.1872280836, other_time: 23.9724731445
epoch time: 91.1116409302s, input_fired_time: 1.2843292952, output_fired_time: 0.0000000000, propagate_forward_time: 86.1422424316, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6850662231
validation[          , genome  5329] predictions:    5603/  10000 (56.03%), best:    5782/10000 (57.82%), error:     13708.42188, best error:     12695.32422 on epoch:    42, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1103.7866210938s, input_fired_time: 8.7659339905, output_fired_time: 7.5147137642, propagate_forward_time: 416.1600952148, propagate_backward_time: 650.9098510742, weight_update_time: 0.9695898294, other_time: 20.4359130859
epoch time: 90.0561981201s, input_fired_time: 1.0832641125, output_fired_time: 0.0000000000, propagate_forward_time: 85.5438766479, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4290542603
validation[          , genome  5329] predictions:    5720/  10000 (57.20%), best:    5782/10000 (57.82%), error:     12892.32324, best error:     12695.32422 on epoch:    42, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1116.2674560547s, input_fired_time: 8.1849422455, output_fired_time: 7.1410188675, propagate_forward_time: 425.2599487305, propagate_backward_time: 658.0404052734, weight_update_time: 0.8580759168, other_time: 17.6411743164
epoch time: 90.6608428955s, input_fired_time: 1.1736878157, output_fired_time: 0.0000000000, propagate_forward_time: 85.9415588379, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5455932617
validation[          , genome  5329] predictions:    5775/  10000 (57.75%), best:    5775/10000 (57.75%), error:     12392.24023, best error:     12392.24023 on epoch:    47, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1083.6839599609s, input_fired_time: 7.8639998436, output_fired_time: 6.9156332016, propagate_forward_time: 411.1180114746, propagate_backward_time: 641.2388305664, weight_update_time: 0.8013083935, other_time: 16.5474243164
epoch time: 84.7300872803s, input_fired_time: 0.9782019258, output_fired_time: 0.0000000000, propagate_forward_time: 81.0450897217, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7067947388
validation[          , genome  5329] predictions:    5722/  10000 (57.22%), best:    5775/10000 (57.75%), error:     12788.19238, best error:     12392.24023 on epoch:    47, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1063.8493652344s, input_fired_time: 7.5824561119, output_fired_time: 6.6431956291, propagate_forward_time: 403.4617004395, propagate_backward_time: 630.5828247070, weight_update_time: 0.7618126273, other_time: 15.5792846680
epoch time: 85.1506195068s, input_fired_time: 1.0053952932, output_fired_time: 0.0000000000, propagate_forward_time: 81.0587615967, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0864639282
validation[          , genome  5329] predictions:    5793/  10000 (57.93%), best:    5775/10000 (57.75%), error:     12684.63672, best error:     12392.24023 on epoch:    47, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1062.4196777344s, input_fired_time: 7.6204686165, output_fired_time: 6.6648674011, propagate_forward_time: 402.4754028320, propagate_backward_time: 629.6376342773, weight_update_time: 0.7686974406, other_time: 16.0212402344
epoch time: 84.7970809937s, input_fired_time: 0.9938855171, output_fired_time: 0.0000000000, propagate_forward_time: 80.8325653076, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9706268311
validation[          , genome  5329] predictions:    5931/  10000 (59.31%), best:    5931/10000 (59.31%), error:     12200.42676, best error:     12200.42676 on epoch:    50, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 1071.3441162109s, input_fired_time: 7.6616511345, output_fired_time: 6.7481651306, propagate_forward_time: 407.5733947754, propagate_backward_time: 633.6015625000, weight_update_time: 0.7712284327, other_time: 15.7593994141
epoch time: 86.5376510620s, input_fired_time: 1.0049945116, output_fired_time: 0.0000000000, propagate_forward_time: 82.5528640747, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9797897339
validation[          , genome  5329] predictions:    5844/  10000 (58.44%), best:    5931/10000 (59.31%), error:     12346.45898, best error:     12200.42676 on epoch:    50, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 1071.9039306641s, input_fired_time: 7.5906009674, output_fired_time: 6.7001090050, propagate_forward_time: 407.5804748535, propagate_backward_time: 634.5907592773, weight_update_time: 0.7618844509, other_time: 15.4420776367
epoch time: 81.9805221558s, input_fired_time: 0.9192307591, output_fired_time: 0.0000000000, propagate_forward_time: 78.4865875244, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5747070313
validation[          , genome  5329] predictions:    5789/  10000 (57.89%), best:    5931/10000 (59.31%), error:     12611.40039, best error:     12200.42676 on epoch:    50, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 1076.2625732422s, input_fired_time: 7.3555202484, output_fired_time: 6.5711793900, propagate_forward_time: 410.6875610352, propagate_backward_time: 637.8116455078, weight_update_time: 0.7047356367, other_time: 13.8367309570
epoch time: 86.2077484131s, input_fired_time: 0.9414965510, output_fired_time: 0.0000000000, propagate_forward_time: 82.8343124390, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4319381714
validation[          , genome  5329] predictions:    5876/  10000 (58.76%), best:    5931/10000 (59.31%), error:     12293.38184, best error:     12200.42676 on epoch:    50, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 1083.4002685547s, input_fired_time: 7.3806447983, output_fired_time: 6.5621304512, propagate_forward_time: 413.9056701660, propagate_backward_time: 641.6611328125, weight_update_time: 0.7036545873, other_time: 13.8907470703
epoch time: 85.1634445190s, input_fired_time: 0.9563028216, output_fired_time: 0.0000000000, propagate_forward_time: 81.5995559692, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6075820923
validation[          , genome  5329] predictions:    5862/  10000 (58.62%), best:    5931/10000 (59.31%), error:     12303.44434, best error:     12200.42676 on epoch:    50, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 1042.4241943359s, input_fired_time: 7.2206258774, output_fired_time: 6.4086503983, propagate_forward_time: 394.9020080566, propagate_backward_time: 620.3984985352, weight_update_time: 0.6860978007, other_time: 13.4944458008
epoch time: 83.2370071411s, input_fired_time: 0.9390760660, output_fired_time: 0.0000000000, propagate_forward_time: 79.7065963745, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5913314819
validation[          , genome  5329] predictions:    5835/  10000 (58.35%), best:    5931/10000 (59.31%), error:     12568.44043, best error:     12200.42676 on epoch:    50, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 1069.6749267578s, input_fired_time: 7.3355088234, output_fired_time: 6.4797005653, propagate_forward_time: 408.2374267578, propagate_backward_time: 634.0377807617, weight_update_time: 0.6977944374, other_time: 13.5845336914
epoch time: 85.8351440430s, input_fired_time: 0.9420922399, output_fired_time: 0.0000000000, propagate_forward_time: 82.5861053467, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3069458008
validation[          , genome  5329] predictions:    5911/  10000 (59.11%), best:    5931/10000 (59.31%), error:     12239.50781, best error:     12200.42676 on epoch:    50, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 1076.1036376953s, input_fired_time: 7.1972599030, output_fired_time: 6.4349679947, propagate_forward_time: 412.7840881348, propagate_backward_time: 637.5238647461, weight_update_time: 0.6650521755, other_time: 12.1635131836
epoch time: 85.4644927979s, input_fired_time: 0.9248903990, output_fired_time: 0.0000000000, propagate_forward_time: 82.4889984131, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0506057739
validation[          , genome  5329] predictions:    5961/  10000 (59.61%), best:    5961/10000 (59.61%), error:     12065.80957, best error:     12065.80957 on epoch:    57, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 1066.3637695313s, input_fired_time: 7.1415677071, output_fired_time: 6.3438253403, propagate_forward_time: 408.4887390137, propagate_backward_time: 632.6289062500, weight_update_time: 0.6529767513, other_time: 11.7606201172
epoch time: 83.9558334351s, input_fired_time: 0.9057873487, output_fired_time: 0.0000000000, propagate_forward_time: 80.9153747559, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1346740723
validation[          , genome  5329] predictions:    5789/  10000 (57.89%), best:    5961/10000 (59.61%), error:     12516.32129, best error:     12065.80957 on epoch:    57, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 1042.4722900391s, input_fired_time: 7.0155172348, output_fired_time: 6.1974129677, propagate_forward_time: 399.3120422363, propagate_backward_time: 618.5650024414, weight_update_time: 0.6395856738, other_time: 11.3823852539
epoch time: 84.1116790771s, input_fired_time: 0.9166603088, output_fired_time: 0.0000000000, propagate_forward_time: 81.1615142822, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0335083008
validation[          , genome  5329] predictions:    5921/  10000 (59.21%), best:    5961/10000 (59.61%), error:     12257.27148, best error:     12065.80957 on epoch:    57, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 1048.4066162109s, input_fired_time: 7.0053672791, output_fired_time: 6.1492304802, propagate_forward_time: 401.8939208984, propagate_backward_time: 622.4207153320, weight_update_time: 0.6348521113, other_time: 10.9374389648
epoch time: 83.6709518433s, input_fired_time: 0.9072214961, output_fired_time: 0.0000000000, propagate_forward_time: 80.7455139160, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0182189941
validation[          , genome  5329] predictions:    5935/  10000 (59.35%), best:    5961/10000 (59.61%), error:     12085.78711, best error:     12065.80957 on epoch:    57, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 1057.3363037109s, input_fired_time: 7.0349655151, output_fired_time: 6.2567720413, propagate_forward_time: 405.7551879883, propagate_backward_time: 627.3155517578, weight_update_time: 0.6336703300, other_time: 10.9739379883
epoch time: 83.8902511597s, input_fired_time: 0.9105527401, output_fired_time: 0.0000000000, propagate_forward_time: 80.9264068604, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0532913208
validation[          , genome  5329] predictions:    5919/  10000 (59.19%), best:    5961/10000 (59.61%), error:     12330.87012, best error:     12065.80957 on epoch:    57, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 1030.7410888672s, input_fired_time: 6.9297142029, output_fired_time: 6.0930309296, propagate_forward_time: 393.6632995605, propagate_backward_time: 613.3239135742, weight_update_time: 0.6198623776, other_time: 10.7311401367
epoch time: 80.8974609375s, input_fired_time: 0.8872553706, output_fired_time: 0.0000000000, propagate_forward_time: 78.0339126587, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9762954712
validation[          , genome  5329] predictions:    5874/  10000 (58.74%), best:    5961/10000 (59.61%), error:     12291.69434, best error:     12065.80957 on epoch:    57, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 1015.5131225586s, input_fired_time: 6.8473982811, output_fired_time: 5.9412508011, propagate_forward_time: 388.3194274902, propagate_backward_time: 603.8073730469, weight_update_time: 0.6131462455, other_time: 10.5976562500
epoch time: 78.9856567383s, input_fired_time: 0.8675512075, output_fired_time: 0.0000000000, propagate_forward_time: 76.2082214355, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9098815918
validation[          , genome  5329] predictions:    6007/  10000 (60.07%), best:    6007/10000 (60.07%), error:     12054.94336, best error:     12054.94336 on epoch:    63, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 979.5434570313s, input_fired_time: 6.6943502426, output_fired_time: 5.7655553818, propagate_forward_time: 372.7617797852, propagate_backward_time: 584.1035156250, weight_update_time: 0.5920390487, other_time: 10.2182617188
epoch time: 78.5313644409s, input_fired_time: 0.8726495504, output_fired_time: 0.0000000000, propagate_forward_time: 75.7373199463, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9213943481
validation[          , genome  5329] predictions:    5930/  10000 (59.30%), best:    6007/10000 (60.07%), error:     12123.68652, best error:     12054.94336 on epoch:    63, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 952.5718383789s, input_fired_time: 6.5897846222, output_fired_time: 5.6338620186, propagate_forward_time: 361.3959350586, propagate_backward_time: 568.9451293945, weight_update_time: 0.5757831335, other_time: 10.0071411133
epoch time: 70.0551223755s, input_fired_time: 0.8051028848, output_fired_time: 0.0000000000, propagate_forward_time: 67.4982299805, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7517929077
validation[          , genome  5329] predictions:    5907/  10000 (59.07%), best:    6007/10000 (60.07%), error:     12355.98145, best error:     12054.94336 on epoch:    63, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 932.5878906250s, input_fired_time: 6.5236887932, output_fired_time: 5.5328955650, propagate_forward_time: 352.2286682129, propagate_backward_time: 558.4835205078, weight_update_time: 0.5619748831, other_time: 9.8190917969
epoch time: 74.2652587891s, input_fired_time: 0.8373684287, output_fired_time: 0.0000000000, propagate_forward_time: 71.6322784424, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7956085205
validation[          , genome  5329] predictions:    6015/  10000 (60.15%), best:    6007/10000 (60.07%), error:     12195.49023, best error:     12054.94336 on epoch:    63, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 927.9248657227s, input_fired_time: 6.4880228043, output_fired_time: 5.4758987427, propagate_forward_time: 350.4079895020, propagate_backward_time: 555.7992553711, weight_update_time: 0.5659428835, other_time: 9.7537231445
epoch time: 71.1060333252s, input_fired_time: 0.8219107389, output_fired_time: 0.0000000000, propagate_forward_time: 68.4509963989, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8331298828
validation[          , genome  5329] predictions:    5977/  10000 (59.77%), best:    5977/10000 (59.77%), error:     12030.15039, best error:     12030.15039 on epoch:    67, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 910.9921264648s, input_fired_time: 6.4547438622, output_fired_time: 5.4188323021, propagate_forward_time: 344.9034423828, propagate_backward_time: 544.5728759766, weight_update_time: 0.5555247664, other_time: 9.6422119141
epoch time: 68.6194076538s, input_fired_time: 0.8008856773, output_fired_time: 0.0000000000, propagate_forward_time: 66.0869369507, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7315826416
validation[          , genome  5329] predictions:    5954/  10000 (59.54%), best:    5977/10000 (59.77%), error:     12043.87305, best error:     12030.15039 on epoch:    67, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 909.7061157227s, input_fired_time: 6.4558629990, output_fired_time: 5.4235777855, propagate_forward_time: 343.0116577148, propagate_backward_time: 545.1546020508, weight_update_time: 0.5520154834, other_time: 9.6604003906
epoch time: 72.7265701294s, input_fired_time: 0.8298943639, output_fired_time: 0.0000000000, propagate_forward_time: 70.1364822388, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7601928711
validation[          , genome  5329] predictions:    5999/  10000 (59.99%), best:    5999/10000 (59.99%), error:     11942.53027, best error:     11942.53027 on epoch:    69, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 912.9733276367s, input_fired_time: 6.4896807671, output_fired_time: 5.3984608650, propagate_forward_time: 347.2137451172, propagate_backward_time: 544.1195068359, weight_update_time: 0.5609887838, other_time: 9.7519531250
epoch time: 69.6707839966s, input_fired_time: 0.8112301230, output_fired_time: 0.0000000000, propagate_forward_time: 67.0930328369, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7665176392
validation[          , genome  5329] predictions:    5932/  10000 (59.32%), best:    5999/10000 (59.99%), error:     12145.35840, best error:     11942.53027 on epoch:    69, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 896.8108520508s, input_fired_time: 6.4439325333, output_fired_time: 5.3687744141, propagate_forward_time: 340.8611755371, propagate_backward_time: 534.5300292969, weight_update_time: 0.5496181250, other_time: 9.6069335938
epoch time: 68.1615295410s, input_fired_time: 0.7995051146, output_fired_time: 0.0000000000, propagate_forward_time: 65.6573715210, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7046508789
validation[          , genome  5329] predictions:    6018/  10000 (60.18%), best:    6018/10000 (60.18%), error:     11909.02832, best error:     11909.02832 on epoch:    71, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 876.5344848633s, input_fired_time: 6.3619232178, output_fired_time: 5.2142643929, propagate_forward_time: 332.4493713379, propagate_backward_time: 522.9977416992, weight_update_time: 0.5426087379, other_time: 9.5111694336
epoch time: 69.1276473999s, input_fired_time: 0.8032113314, output_fired_time: 0.0000000000, propagate_forward_time: 66.6123428345, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7120895386
validation[          , genome  5329] predictions:    5975/  10000 (59.75%), best:    6018/10000 (60.18%), error:     12194.90723, best error:     11909.02832 on epoch:    71, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 874.3245849609s, input_fired_time: 6.3609132767, output_fired_time: 5.2182116508, propagate_forward_time: 330.8178405762, propagate_backward_time: 522.4583129883, weight_update_time: 0.5392724276, other_time: 9.4692993164
epoch time: 67.9923782349s, input_fired_time: 0.7988477349, output_fired_time: 0.0000000000, propagate_forward_time: 65.5065078735, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6870193481
validation[          , genome  5329] predictions:    6045/  10000 (60.45%), best:    6045/10000 (60.45%), error:     11830.29688, best error:     11830.29688 on epoch:    73, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 866.7001953125s, input_fired_time: 6.3187990189, output_fired_time: 5.1824812889, propagate_forward_time: 325.5182189941, propagate_backward_time: 520.2990722656, weight_update_time: 0.5344719291, other_time: 9.3815917969
epoch time: 62.8743095398s, input_fired_time: 0.7632744312, output_fired_time: 0.0000000000, propagate_forward_time: 60.4466476440, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6643867493
validation[          , genome  5329] predictions:    6038/  10000 (60.38%), best:    6045/10000 (60.45%), error:     12021.55859, best error:     11830.29688 on epoch:    73, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 880.9713134766s, input_fired_time: 6.3792023659, output_fired_time: 5.2607798576, propagate_forward_time: 332.6529541016, propagate_backward_time: 527.1715087891, weight_update_time: 0.5418654680, other_time: 9.5068359375
epoch time: 70.3905334473s, input_fired_time: 0.8189516068, output_fired_time: 0.0000000000, propagate_forward_time: 67.8107070923, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7608718872
validation[          , genome  5329] predictions:    5991/  10000 (59.91%), best:    6045/10000 (60.45%), error:     11970.16016, best error:     11830.29688 on epoch:    73, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 892.8669433594s, input_fired_time: 6.3950614929, output_fired_time: 5.2785739899, propagate_forward_time: 334.0824584961, propagate_backward_time: 537.5874023438, weight_update_time: 0.5448933244, other_time: 9.5234375000
epoch time: 69.2833557129s, input_fired_time: 0.8085156679, output_fired_time: 0.0000000000, propagate_forward_time: 66.7371063232, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7377319336
validation[          , genome  5329] predictions:    6044/  10000 (60.44%), best:    6045/10000 (60.45%), error:     12066.17480, best error:     11830.29688 on epoch:    73, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 905.8069458008s, input_fired_time: 6.4569592476, output_fired_time: 5.4115467072, propagate_forward_time: 340.1266174316, propagate_backward_time: 544.1416015625, weight_update_time: 0.5542700291, other_time: 9.6701660156
epoch time: 72.0696182251s, input_fired_time: 0.8308051825, output_fired_time: 0.0000000000, propagate_forward_time: 69.4579315186, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7808837891
validation[          , genome  5329] predictions:    6042/  10000 (60.42%), best:    6045/10000 (60.45%), error:     11852.59766, best error:     11830.29688 on epoch:    73, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 941.6284179688s, input_fired_time: 6.6189699173, output_fired_time: 5.5773258209, propagate_forward_time: 356.5833129883, propagate_backward_time: 562.8594970703, weight_update_time: 0.5747363567, other_time: 9.9893188477
epoch time: 71.6378707886s, input_fired_time: 0.8295560479, output_fired_time: 0.0000000000, propagate_forward_time: 69.0038833618, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8044281006
validation[          , genome  5329] predictions:    6037/  10000 (60.37%), best:    6037/10000 (60.37%), error:     11815.92969, best error:     11815.92969 on epoch:    78, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 926.4473266602s, input_fired_time: 6.5474557877, output_fired_time: 5.5087141991, propagate_forward_time: 350.3318176270, propagate_backward_time: 554.2593383789, weight_update_time: 0.5654479265, other_time: 9.7999877930
epoch time: 72.5602416992s, input_fired_time: 0.8325978518, output_fired_time: 0.0000000000, propagate_forward_time: 69.9751815796, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7524642944
validation[          , genome  5329] predictions:    5999/  10000 (59.99%), best:    6037/10000 (60.37%), error:     12125.96484, best error:     11815.92969 on epoch:    78, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 905.9218750000s, input_fired_time: 6.4880299568, output_fired_time: 5.3975849152, propagate_forward_time: 343.7233581543, propagate_backward_time: 540.8034057617, weight_update_time: 0.5478662848, other_time: 9.5094604492
epoch time: 65.8410873413s, input_fired_time: 0.7888518572, output_fired_time: 0.0000000000, propagate_forward_time: 63.3790130615, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6732254028
validation[          , genome  5329] predictions:    5999/  10000 (59.99%), best:    6037/10000 (60.37%), error:     12007.62891, best error:     11815.92969 on epoch:    78, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 906.2229614258s, input_fired_time: 6.4570889473, output_fired_time: 5.3888497353, propagate_forward_time: 340.1792602539, propagate_backward_time: 544.6573486328, weight_update_time: 0.5492931604, other_time: 9.5404052734
epoch time: 74.0893096924s, input_fired_time: 0.8510708213, output_fired_time: 0.0000000000, propagate_forward_time: 71.4475173950, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7907180786
validation[          , genome  5329] predictions:    6062/  10000 (60.62%), best:    6062/10000 (60.62%), error:     11625.40137, best error:     11625.40137 on epoch:    81, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

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_1540746903_183_5329.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540746903_183_5329_0_r281672189_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: 0.982697
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000186314
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.45255e-06
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: 82
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 81
read number_validation_images: 10000
read best_validation_predictions: 6062
read best_validation_error: 11625.4
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: 5329
read normal distribution: '1 0.211210057139397 -0.911927819252014'
generator_str: '1643954984'
read generator: 1643954984
read generated_by_map:
1 change_size 1
reading 57 nodes.
reading 223 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: 942.081420898438s, input_fired_time: 11.633002281189, output_fired_time: 9.17277526855469, propagate_forward_time: 340.920349121094, propagate_backward_time: 551.361022949219, weight_update_time: 1.34767770767212, other_time: 28.9942626953125
epoch time: 69.6998138427734s, input_fired_time: 1.72597861289978, output_fired_time: 0, propagate_forward_time: 63.1051292419434, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.86870956420898
validation[          , genome  5329] predictions:    6137/  10000 (61.37%), best:    6062/10000 (60.62%), error:     11708.34277, best error:     11625.40137 on epoch:    81, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 968.9782714844s, input_fired_time: 13.4243640900, output_fired_time: 10.6842718124, propagate_forward_time: 345.5673217773, propagate_backward_time: 564.9145507813, weight_update_time: 1.5877224207, other_time: 34.3877563477
epoch time: 74.0637054443s, input_fired_time: 1.8002002239, output_fired_time: 0.0000000000, propagate_forward_time: 66.3428649902, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.9206390381
validation[          , genome  5329] predictions:    6036/  10000 (60.36%), best:    6062/10000 (60.62%), error:     11878.25781, best error:     11625.40137 on epoch:    81, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 999.4603271484s, input_fired_time: 13.3583717346, output_fired_time: 10.6310310364, propagate_forward_time: 358.8563537598, propagate_backward_time: 581.7178955078, weight_update_time: 1.5866583586, other_time: 34.8966064453
epoch time: 77.7283401489s, input_fired_time: 1.9323359728, output_fired_time: 0.0000000000, propagate_forward_time: 69.8436050415, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.9524002075
validation[          , genome  5329] predictions:    6039/  10000 (60.39%), best:    6062/10000 (60.62%), error:     12063.60840, best error:     11625.40137 on epoch:    81, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 1001.3292236328s, input_fired_time: 13.3447675705, output_fired_time: 10.4978485107, propagate_forward_time: 361.3853759766, propagate_backward_time: 581.1671142578, weight_update_time: 1.5751605034, other_time: 34.9340820313
epoch time: 74.6317138672s, input_fired_time: 1.8988745213, output_fired_time: 0.0000000000, propagate_forward_time: 66.7115554810, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.0212860107
validation[          , genome  5329] predictions:    6054/  10000 (60.54%), best:    6062/10000 (60.62%), error:     11955.57422, best error:     11625.40137 on epoch:    81, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 989.3230590820s, input_fired_time: 13.4022722244, output_fired_time: 10.6412668228, propagate_forward_time: 355.5485229492, propagate_backward_time: 575.5332031250, weight_update_time: 1.5473251343, other_time: 34.1977539063
epoch time: 87.0771560669s, input_fired_time: 2.0847375393, output_fired_time: 0.0000000000, propagate_forward_time: 77.7240524292, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.2683639526
validation[          , genome  5329] predictions:    6128/  10000 (61.28%), best:    6062/10000 (60.62%), error:     11758.20020, best error:     11625.40137 on epoch:    81, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 1030.4499511719s, input_fired_time: 13.6831731796, output_fired_time: 10.7803964615, propagate_forward_time: 372.5511474609, propagate_backward_time: 597.6588134766, weight_update_time: 1.6019369364, other_time: 35.7764282227
epoch time: 87.8042678833s, input_fired_time: 2.1102430820, output_fired_time: 0.0000000000, propagate_forward_time: 78.5362319946, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.1577911377
validation[          , genome  5329] predictions:    6107/  10000 (61.07%), best:    6062/10000 (60.62%), error:     11902.95020, best error:     11625.40137 on epoch:    81, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 1046.6881103516s, input_fired_time: 13.5026302338, output_fired_time: 10.7825727463, propagate_forward_time: 376.5759887695, propagate_backward_time: 610.2119140625, weight_update_time: 1.5973111391, other_time: 35.6149291992
epoch time: 87.2105407715s, input_fired_time: 2.0712685585, output_fired_time: 0.0000000000, propagate_forward_time: 78.0096054077, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.1296691895
validation[          , genome  5329] predictions:    6048/  10000 (60.48%), best:    6062/10000 (60.62%), error:     11908.07617, best error:     11625.40137 on epoch:    81, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 1026.1010742188s, input_fired_time: 13.3049478531, output_fired_time: 10.5530805588, propagate_forward_time: 369.8234863281, propagate_backward_time: 598.1210937500, weight_update_time: 1.5379070044, other_time: 34.2984619141
epoch time: 80.1021423340s, input_fired_time: 1.8182642460, output_fired_time: 0.0000000000, propagate_forward_time: 72.4561080933, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.8277664185
validation[          , genome  5329] predictions:    6114/  10000 (61.14%), best:    6062/10000 (60.62%), error:     11756.26660, best error:     11625.40137 on epoch:    81, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 1033.1010742188s, input_fired_time: 13.5608921051, output_fired_time: 10.7094287872, propagate_forward_time: 370.6817016602, propagate_backward_time: 602.5123291016, weight_update_time: 1.5731481314, other_time: 35.6367187500
epoch time: 85.6062164307s, input_fired_time: 1.8993008137, output_fired_time: 0.0000000000, propagate_forward_time: 77.1975708008, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.5093460083
validation[          , genome  5329] predictions:    6067/  10000 (60.67%), best:    6062/10000 (60.62%), error:     11839.92773, best error:     11625.40137 on epoch:    81, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 1066.3797607422s, input_fired_time: 13.9192914963, output_fired_time: 10.9942054749, propagate_forward_time: 384.7480163574, propagate_backward_time: 618.9049682617, weight_update_time: 1.6370213032, other_time: 37.8131713867
epoch time: 86.9059982300s, input_fired_time: 2.1208369732, output_fired_time: 0.0000000000, propagate_forward_time: 77.4905242920, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.2946395874
validation[          , genome  5329] predictions:    6086/  10000 (60.86%), best:    6062/10000 (60.62%), error:     11787.36523, best error:     11625.40137 on epoch:    81, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 1084.0726318359s, input_fired_time: 14.0595045090, output_fired_time: 11.0275726318, propagate_forward_time: 391.5373840332, propagate_backward_time: 629.9470214844, weight_update_time: 1.6553485394, other_time: 37.5012207031
epoch time: 89.5816345215s, input_fired_time: 2.1311521530, output_fired_time: 0.0000000000, propagate_forward_time: 80.1564407349, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.2940444946
validation[          , genome  5329] predictions:    6048/  10000 (60.48%), best:    6062/10000 (60.62%), error:     11911.80371, best error:     11625.40137 on epoch:    81, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 1090.1229248047s, input_fired_time: 14.0731563568, output_fired_time: 11.1409254074, propagate_forward_time: 392.7916870117, propagate_backward_time: 635.0650634766, weight_update_time: 1.6489032507, other_time: 37.0521850586
epoch time: 85.4209289551s, input_fired_time: 1.9714268446, output_fired_time: 0.0000000000, propagate_forward_time: 76.8412399292, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.6082611084
validation[          , genome  5329] predictions:    6041/  10000 (60.41%), best:    6062/10000 (60.62%), error:     11929.54785, best error:     11625.40137 on epoch:    81, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 1079.2982177734s, input_fired_time: 13.8631620407, output_fired_time: 11.0308847427, propagate_forward_time: 390.1129760742, propagate_backward_time: 627.0464477539, weight_update_time: 1.6720119715, other_time: 37.2447509766
epoch time: 79.7454605103s, input_fired_time: 1.8403971195, output_fired_time: 0.0000000000, propagate_forward_time: 72.0353012085, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.8697586060
validation[          , genome  5329] predictions:    6059/  10000 (60.59%), best:    6062/10000 (60.62%), error:     11813.32910, best error:     11625.40137 on epoch:    81, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 1066.1820068359s, input_fired_time: 14.1110134125, output_fired_time: 11.1463317871, propagate_forward_time: 384.5834350586, propagate_backward_time: 619.0725097656, weight_update_time: 1.6068338156, other_time: 37.2687377930
epoch time: 86.4173736572s, input_fired_time: 2.1782913208, output_fired_time: 0.0000000000, propagate_forward_time: 76.8129348755, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.4261474609
validation[          , genome  5329] predictions:    6093/  10000 (60.93%), best:    6062/10000 (60.62%), error:     11786.71387, best error:     11625.40137 on epoch:    81, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 1027.4285888672s, input_fired_time: 13.6031074524, output_fired_time: 10.8503971100, propagate_forward_time: 368.9387512207, propagate_backward_time: 597.3037719727, weight_update_time: 1.6459932327, other_time: 36.7326049805
epoch time: 77.2755966187s, input_fired_time: 1.9103659391, output_fired_time: 0.0000000000, propagate_forward_time: 69.3981094360, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.9671249390
validation[          , genome  5329] predictions:    6078/  10000 (60.78%), best:    6062/10000 (60.62%), error:     11816.94043, best error:     11625.40137 on epoch:    81, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 1013.4272460938s, input_fired_time: 13.6118869781, output_fired_time: 10.7278709412, propagate_forward_time: 363.3426513672, propagate_backward_time: 589.9924926758, weight_update_time: 1.5940787792, other_time: 35.7523803711
epoch time: 81.7445678711s, input_fired_time: 2.0558736324, output_fired_time: 0.0000000000, propagate_forward_time: 73.0092315674, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.6794662476
validation[          , genome  5329] predictions:    6061/  10000 (60.61%), best:    6062/10000 (60.62%), error:     11810.59180, best error:     11625.40137 on epoch:    81, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 1028.3294677734s, input_fired_time: 13.7037963867, output_fired_time: 10.8369522095, propagate_forward_time: 369.6626892090, propagate_backward_time: 598.0387573242, weight_update_time: 1.5896847248, other_time: 36.0872192383
epoch time: 78.8993072510s, input_fired_time: 1.8679132462, output_fired_time: 0.0000000000, propagate_forward_time: 71.0154113770, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.0159835815
validation[          , genome  5329] predictions:    6052/  10000 (60.52%), best:    6062/10000 (60.62%), error:     11936.47559, best error:     11625.40137 on epoch:    81, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 1035.1934814453s, input_fired_time: 13.9948492050, output_fired_time: 10.9355802536, propagate_forward_time: 371.2724304199, propagate_backward_time: 601.7576904297, weight_update_time: 1.6216073036, other_time: 37.2329101563
epoch time: 80.2709045410s, input_fired_time: 2.0319733620, output_fired_time: 0.0000000000, propagate_forward_time: 71.4578323364, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.7810974121
validation[          , genome  5329] predictions:    6091/  10000 (60.91%), best:    6062/10000 (60.62%), error:     11790.44727, best error:     11625.40137 on epoch:    81, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 1033.0939941406s, input_fired_time: 13.7823123932, output_fired_time: 10.8962087631, propagate_forward_time: 370.5382690430, propagate_backward_time: 601.8013916016, weight_update_time: 1.6199852228, other_time: 36.0758666992
epoch time: 82.3093261719s, input_fired_time: 1.9485610723, output_fired_time: 0.0000000000, propagate_forward_time: 73.8017272949, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.5590362549
validation[          , genome  5329] predictions:    6104/  10000 (61.04%), best:    6062/10000 (60.62%), error:     11787.72949, best error:     11625.40137 on epoch:    81, epoch:  100/100, mu: 0.9870989323, learning_rate: 0.0000740065, weight_decay: 0.0000029603

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 423.7371826172s, input_fired_time: 10.2762155533, output_fired_time: 0.0000000000, propagate_forward_time: 378.7326354980, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 34.7283325195
best training[          , genome  5329] predictions:   38402/  50000 (76.80%), best:    6062/10000 (60.62%), error:     34782.80469, best error:     11625.40137 on epoch:    81, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 79.0712127686s, input_fired_time: 1.9252541065, output_fired_time: 0.0000000000, propagate_forward_time: 71.1559829712, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.9899749756
   testing[          , genome  5329] predictions:    6062/  10000 (60.62%), best:    6062/10000 (60.62%), error:     11625.40137, best error:     11625.40137 on epoch:    81, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
16:35:13 (32964): called boinc_finish(0)

</stderr_txt>
]]>