Nameexact_genome_1542414603_170_6157_3
Workunit4095288
Created20 Dec 2018, 21:51:11 UTC
Sent20 Dec 2018, 21:51:52 UTC
Report deadline23 Jan 2019, 8:06:25 UTC
Received22 Dec 2018, 21:03:10 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID87944
Run time22 hours 2 min 23 sec
CPU time19 hours 56 min 52 sec
Validate stateValid
Credit8,356.69
Device peak FLOPS2.56 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size584.11 MB
Peak swap size603.74 MB
Peak disk usage12.63 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_170_6157.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_170_6157_3_r555686169_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542414603_170_6157.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.465446
read mu: 0.465446
read mu_delta: 0.93969
read initial_learning_rate: 0.000938286
read learning_rate: 0.000938286
read learning_rate_delta: 0.904611
read initial_weight_decay: 0.000201404
read weight_decay: 0.000201404
read weight_decay_delta: 0.924522
read batch_size: 103
read epsilon: 1e-07
read alpha: 0.0520977
read input_dropout_probability: 0.00147721
read hidden_dropout_probability: 0.0757593
read velocity_reset: 1400
read epoch: 0
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6157
read normal distribution: '1 0.233500003814697 -1.65488028526306'
generator_str: '1658521186'
read generator: 1658521186
read generated_by_map:
1 crossover 1
reading 123 nodes.
reading 447 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: 427835042
post shuffle 1: 1308870836
epoch time: 4416.92041015625s, input_fired_time: 70.3872222900391, output_fired_time: 36.6342697143555, propagate_forward_time: 1589.61059570313, propagate_backward_time: 2678.75268554688, weight_update_time: 0.735963881015778, other_time: 41.53564453125
epoch time: 316.388061523438s, input_fired_time: 4.84638595581055, output_fired_time: 0, propagate_forward_time: 302.144104003906, propagate_backward_time: 0, weight_update_time: 0, other_time: 9.3975830078125
validation[          , genome  6157] predictions:    5975/  10000 (59.75%), best:    5975/10000 (59.75%), error:     11663.98535, best error:     11663.98535 on epoch:     0, epoch:    0/25, mu: 0.4654461145, learning_rate: 0.0009382858, weight_decay: 0.0002014035

epoch time: 4489.5146484375s, input_fired_time: 78.9910888672, output_fired_time: 35.2685089111, propagate_forward_time: 1580.9720458984, propagate_backward_time: 2744.1728515625, weight_update_time: 0.8314121962, other_time: 50.1098632813
epoch time: 345.1473388672s, input_fired_time: 7.5291023254, output_fired_time: 0.0000000000, propagate_forward_time: 325.3974914551, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.2207336426
validation[          , genome  6157] predictions:    5939/  10000 (59.39%), best:    5939/10000 (59.39%), error:     11627.54395, best error:     11627.54395 on epoch:     1, epoch:    1/25, mu: 0.4970820248, learning_rate: 0.0008487832, weight_decay: 0.0001862021

epoch time: 4517.2558593750s, input_fired_time: 84.5130538940, output_fired_time: 39.5860519409, propagate_forward_time: 1607.3642578125, propagate_backward_time: 2742.2119140625, weight_update_time: 0.7811604738, other_time: 43.5805664063
epoch time: 332.0117187500s, input_fired_time: 4.0113759041, output_fired_time: 0.0000000000, propagate_forward_time: 320.0380554199, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.9622802734
validation[          , genome  6157] predictions:    6189/  10000 (61.89%), best:    6189/10000 (61.89%), error:     11082.07422, best error:     11082.07422 on epoch:     2, epoch:    2/25, mu: 0.5268099904, learning_rate: 0.0007678182, weight_decay: 0.0001721480

epoch time: 4286.9643554688s, input_fired_time: 78.3322677612, output_fired_time: 39.5946578979, propagate_forward_time: 1429.5793457031, propagate_backward_time: 2689.2121582031, weight_update_time: 2.7043180466, other_time: 50.2460937500
epoch time: 239.9026031494s, input_fired_time: 4.1442217827, output_fired_time: 0.0000000000, propagate_forward_time: 229.5876922607, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.1706848145
validation[          , genome  6157] predictions:    5977/  10000 (59.77%), best:    6189/10000 (61.89%), error:     11605.52344, best error:     11082.07422 on epoch:     2, epoch:    3/25, mu: 0.5547450185, learning_rate: 0.0006945765, weight_decay: 0.0001591547

epoch time: 3516.7587890625s, input_fired_time: 61.2195816040, output_fired_time: 31.9844951630, propagate_forward_time: 1074.4045410156, propagate_backward_time: 2305.6340332031, weight_update_time: 2.5005457401, other_time: 43.5163574219
epoch time: 186.2368774414s, input_fired_time: 3.3793489933, output_fired_time: 0.0000000000, propagate_forward_time: 178.6677398682, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1897888184
validation[          , genome  6157] predictions:    6206/  10000 (62.06%), best:    6206/10000 (62.06%), error:     10913.06836, best error:     10913.06836 on epoch:     4, epoch:    4/25, mu: 0.5809953213, learning_rate: 0.0006283212, weight_decay: 0.0001471421

epoch time: 3119.3217773438s, input_fired_time: 55.7050704956, output_fired_time: 23.0486164093, propagate_forward_time: 898.2354125977, propagate_backward_time: 2110.1823730469, weight_update_time: 0.5082971454, other_time: 32.1503906250
epoch time: 213.1215057373s, input_fired_time: 7.4712018967, output_fired_time: 0.0000000000, propagate_forward_time: 197.2983551025, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.3519439697
validation[          , genome  6157] predictions:    6095/  10000 (60.95%), best:    6206/10000 (62.06%), error:     11265.26855, best error:     10913.06836 on epoch:     4, epoch:    5/25, mu: 0.6056624651, learning_rate: 0.0005683859, weight_decay: 0.0001360362

epoch time: 3060.3776855469s, input_fired_time: 53.9489021301, output_fired_time: 23.7503490448, propagate_forward_time: 891.5526733398, propagate_backward_time: 2065.1633300781, weight_update_time: 0.3880386055, other_time: 25.9624023438
epoch time: 181.1820831299s, input_fired_time: 6.0942478180, output_fired_time: 0.0000000000, propagate_forward_time: 172.6889953613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3988342285
validation[          , genome  6157] predictions:    6064/  10000 (60.64%), best:    6206/10000 (62.06%), error:     11325.01270, best error:     10913.06836 on epoch:     4, epoch:    6/25, mu: 0.6288419366, learning_rate: 0.0005141679, weight_decay: 0.0001257685

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_170_6157.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_170_6157_3_r555686169_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: 0.465446
read mu: 0.650623
read mu_delta: 0.93969
read initial_learning_rate: 0.000938286
read learning_rate: 0.000465122
read learning_rate_delta: 0.904611
read initial_weight_decay: 0.000201404
read weight_decay: 0.000116276
read weight_decay_delta: 0.924522
read batch_size: 103
read epsilon: 1e-07
read alpha: 0.0520977
read input_dropout_probability: 0.00147721
read hidden_dropout_probability: 0.0757593
read velocity_reset: 1400
read epoch: 7
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 4
read number_validation_images: 10000
read best_validation_predictions: 6206
read best_validation_error: 10913.1
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6157
read normal distribution: '1 0.233500003814697 -1.65488028526306'
generator_str: '31586126'
read generator: 31586126
read generated_by_map:
1 crossover 1
reading 123 nodes.
reading 447 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: 4342.1318359375s, input_fired_time: 68.5954971313477, output_fired_time: 31.4445304870605, propagate_forward_time: 1549.75524902344, propagate_backward_time: 2629.3173828125, weight_update_time: 1.53789126873016, other_time: 63.01904296875
epoch time: 346.496398925781s, input_fired_time: 7.03241300582886, output_fired_time: 0, propagate_forward_time: 333.051208496094, propagate_backward_time: 0, weight_update_time: 0, other_time: 6.41278076171875
validation[          , genome  6157] predictions:    6249/  10000 (62.49%), best:    6249/10000 (62.49%), error:     10784.68652, best error:     10784.68652 on epoch:     7, epoch:    7/25, mu: 0.6506234407, learning_rate: 0.0004651217, weight_decay: 0.0001162758

epoch time: 4991.1000976563s, input_fired_time: 65.7862625122, output_fired_time: 36.9181327820, propagate_forward_time: 1839.7083740234, propagate_backward_time: 2961.1315917969, weight_update_time: 0.6382846236, other_time: 87.5559082031
epoch time: 409.1979980469s, input_fired_time: 4.6030907631, output_fired_time: 0.0000000000, propagate_forward_time: 394.8116455078, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.7832641602
validation[          , genome  6157] predictions:    6237/  10000 (62.37%), best:    6237/10000 (62.37%), error:     10702.96387, best error:     10702.96387 on epoch:     8, epoch:    8/25, mu: 0.6710912585, learning_rate: 0.0004207540, weight_decay: 0.0001074996

epoch time: 4785.2490234375s, input_fired_time: 62.9140968323, output_fired_time: 31.2819766998, propagate_forward_time: 1784.0957031250, propagate_backward_time: 2848.5708007813, weight_update_time: 0.6064271927, other_time: 58.3867187500
epoch time: 383.5079345703s, input_fired_time: 5.3495945930, output_fired_time: 0.0000000000, propagate_forward_time: 371.1690673828, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.9892578125
validation[          , genome  6157] predictions:    6077/  10000 (60.77%), best:    6237/10000 (62.37%), error:     11216.36523, best error:     10702.96387 on epoch:     8, epoch:    9/25, mu: 0.6903246641, learning_rate: 0.0003806185, weight_decay: 0.0000993858

epoch time: 5032.4233398438s, input_fired_time: 71.1195373535, output_fired_time: 32.3053016663, propagate_forward_time: 1895.6312255859, propagate_backward_time: 2965.5556640625, weight_update_time: 0.6848377585, other_time: 67.8115234375
epoch time: 351.5570068359s, input_fired_time: 7.0253329277, output_fired_time: 0.0000000000, propagate_forward_time: 338.0589599609, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.4727172852
validation[          , genome  6157] predictions:    6203/  10000 (62.03%), best:    6237/10000 (62.37%), error:     11077.22070, best error:     10702.96387 on epoch:     8, epoch:   10/25, mu: 0.7083981037, learning_rate: 0.0003443115, weight_decay: 0.0000918844

epoch time: 5290.0683593750s, input_fired_time: 80.2631988525, output_fired_time: 38.0146789551, propagate_forward_time: 1935.6527099609, propagate_backward_time: 3144.5151367188, weight_update_time: 0.8157014251, other_time: 91.6225585938
epoch time: 389.3870849609s, input_fired_time: 5.1348457336, output_fired_time: 0.0000000000, propagate_forward_time: 372.7106018066, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.5416259766
validation[          , genome  6157] predictions:    6213/  10000 (62.13%), best:    6237/10000 (62.37%), error:     10840.81250, best error:     10702.96387 on epoch:     8, epoch:   11/25, mu: 0.7253815532, learning_rate: 0.0003114678, weight_decay: 0.0000849492

epoch time: 4729.8706054688s, input_fired_time: 54.5117034912, output_fired_time: 32.9376907349, propagate_forward_time: 1772.0187988281, propagate_backward_time: 2802.0502929688, weight_update_time: 0.6743946075, other_time: 68.3522949219
epoch time: 346.3136291504s, input_fired_time: 4.8918724060, output_fired_time: 0.0000000000, propagate_forward_time: 333.0008544922, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.4208984375
validation[          , genome  6157] predictions:    6229/  10000 (62.29%), best:    6237/10000 (62.37%), error:     10805.35840, best error:     10702.96387 on epoch:     8, epoch:   12/25, mu: 0.7413406968, learning_rate: 0.0002817570, weight_decay: 0.0000785374

epoch time: 4941.9633789063s, input_fired_time: 77.8756027222, output_fired_time: 39.0017509460, propagate_forward_time: 1866.5643310547, propagate_backward_time: 2897.0563964844, weight_update_time: 1.7385026217, other_time: 61.4650878906
epoch time: 366.9826660156s, input_fired_time: 5.6960806847, output_fired_time: 0.0000000000, propagate_forward_time: 352.7385253906, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.5480651855
validation[          , genome  6157] predictions:    6349/  10000 (63.49%), best:    6349/10000 (63.49%), error:     10658.06250, best error:     10658.06250 on epoch:    13, epoch:   13/25, mu: 0.7563373446, learning_rate: 0.0002548803, weight_decay: 0.0000726096

epoch time: 4736.0126953125s, input_fired_time: 79.4811553955, output_fired_time: 36.7054176331, propagate_forward_time: 1778.2390136719, propagate_backward_time: 2795.5820312500, weight_update_time: 0.7087769508, other_time: 46.0051269531
epoch time: 371.6828002930s, input_fired_time: 4.6108255386, output_fired_time: 0.0000000000, propagate_forward_time: 358.3918762207, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.6800842285
validation[          , genome  6157] predictions:    6312/  10000 (63.12%), best:    6312/10000 (63.12%), error:     10646.44043, best error:     10646.44043 on epoch:    14, epoch:   14/25, mu: 0.7704295516, learning_rate: 0.0002305674, weight_decay: 0.0000671292

epoch time: 4744.9360351563s, input_fired_time: 76.7239303589, output_fired_time: 41.8816337585, propagate_forward_time: 1756.6605224609, propagate_backward_time: 2816.6540527344, weight_update_time: 2.6977632046, other_time: 53.0153808594
epoch time: 446.1653442383s, input_fired_time: 7.0742549896, output_fired_time: 0.0000000000, propagate_forward_time: 428.8038635254, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.2872314453
validation[          , genome  6157] predictions:    6342/  10000 (63.42%), best:    6342/10000 (63.42%), error:     10591.51660, best error:     10591.51660 on epoch:    15, epoch:   15/25, mu: 0.7836718559, learning_rate: 0.0002085737, weight_decay: 0.0000620625

epoch time: 4897.4926757813s, input_fired_time: 78.3684082031, output_fired_time: 37.6997947693, propagate_forward_time: 1841.6162109375, propagate_backward_time: 2875.1430664063, weight_update_time: 0.8119510412, other_time: 64.6650390625
epoch time: 374.4531860352s, input_fired_time: 4.6475968361, output_fired_time: 0.0000000000, propagate_forward_time: 362.9580383301, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.8475646973
validation[          , genome  6157] predictions:    6371/  10000 (63.71%), best:    6371/10000 (63.71%), error:     10419.45410, best error:     10419.45410 on epoch:    16, epoch:   16/25, mu: 0.7961155176, learning_rate: 0.0001886780, weight_decay: 0.0000573782

epoch time: 4846.9145507813s, input_fired_time: 73.3426361084, output_fired_time: 40.3499336243, propagate_forward_time: 1824.9571533203, propagate_backward_time: 2845.3510742188, weight_update_time: 1.8293646574, other_time: 62.9135742188
epoch time: 370.6135253906s, input_fired_time: 5.5874462128, output_fired_time: 0.0000000000, propagate_forward_time: 354.3439941406, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.6820983887
validation[          , genome  6157] predictions:    6043/  10000 (60.43%), best:    6371/10000 (63.71%), error:     11628.93555, best error:     10419.45410 on epoch:    16, epoch:   17/25, mu: 0.8078086972, learning_rate: 0.0001706801, weight_decay: 0.0000530474

epoch time: 4946.1108398438s, input_fired_time: 75.3177261353, output_fired_time: 36.5121765137, propagate_forward_time: 1840.8708496094, propagate_backward_time: 2886.7597656250, weight_update_time: 0.6227399111, other_time: 106.6501464844
epoch time: 347.8034667969s, input_fired_time: 3.8812432289, output_fired_time: 0.0000000000, propagate_forward_time: 336.2843322754, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.6378784180
validation[          , genome  6157] predictions:    6399/  10000 (63.99%), best:    6371/10000 (63.71%), error:     10460.50391, best error:     10419.45410 on epoch:    16, epoch:   18/25, mu: 0.8187966943, learning_rate: 0.0001543990, weight_decay: 0.0000490435

epoch time: 5903.7490234375s, input_fired_time: 83.8410339355, output_fired_time: 45.6224174500, propagate_forward_time: 2190.6987304688, propagate_backward_time: 3445.3754882813, weight_update_time: 1.8465471268, other_time: 138.2114257813
epoch time: 342.9088745117s, input_fired_time: 5.9294714928, output_fired_time: 0.0000000000, propagate_forward_time: 331.3945922852, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5848083496
validation[          , genome  6157] predictions:    6245/  10000 (62.45%), best:    6371/10000 (63.71%), error:     10808.80078, best error:     10419.45410 on epoch:    16, epoch:   19/25, mu: 0.8291220069, learning_rate: 0.0001396710, weight_decay: 0.0000453418

epoch time: 5361.0502929688s, input_fired_time: 79.9027633667, output_fired_time: 43.6452522278, propagate_forward_time: 1972.4460449219, propagate_backward_time: 3138.5083007813, weight_update_time: 1.8164291382, other_time: 126.5480957031
epoch time: 425.4176635742s, input_fired_time: 9.4384250641, output_fired_time: 0.0000000000, propagate_forward_time: 405.6143798828, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.3648681641
validation[          , genome  6157] predictions:    6257/  10000 (62.57%), best:    6371/10000 (63.71%), error:     10816.47559, best error:     10419.45410 on epoch:    16, epoch:   20/25, mu: 0.8388245702, learning_rate: 0.0001263478, weight_decay: 0.0000419195

epoch time: 4740.0981445313s, input_fired_time: 68.4836120605, output_fired_time: 32.4935417175, propagate_forward_time: 1766.6563720703, propagate_backward_time: 2788.3574218750, weight_update_time: 0.6062330008, other_time: 84.1074218750
epoch time: 343.2837524414s, input_fired_time: 7.8386216164, output_fired_time: 0.0000000000, propagate_forward_time: 328.7939147949, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.6512145996
validation[          , genome  6157] predictions:    6485/  10000 (64.85%), best:    6485/10000 (64.85%), error:     10294.75684, best error:     10294.75684 on epoch:    21, epoch:   21/25, mu: 0.8479419947, learning_rate: 0.0001142956, weight_decay: 0.0000387555

epoch time: 4827.9277343750s, input_fired_time: 66.5623855591, output_fired_time: 39.6953086853, propagate_forward_time: 1787.1755371094, propagate_backward_time: 2830.3508300781, weight_update_time: 0.6640342474, other_time: 104.1435546875
epoch time: 389.1051940918s, input_fired_time: 6.8031506538, output_fired_time: 0.0000000000, propagate_forward_time: 372.5669250488, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.7351074219
validation[          , genome  6157] predictions:    6411/  10000 (64.11%), best:    6485/10000 (64.85%), error:     10317.71094, best error:     10294.75684 on epoch:    21, epoch:   22/25, mu: 0.8565095067, learning_rate: 0.0001033930, weight_decay: 0.0000358304

epoch time: 4662.1425781250s, input_fired_time: 69.6912612915, output_fired_time: 40.1794548035, propagate_forward_time: 1731.9738769531, propagate_backward_time: 2736.9204101563, weight_update_time: 0.6370733380, other_time: 83.3771972656
epoch time: 348.6967468262s, input_fired_time: 6.9896082878, output_fired_time: 0.0000000000, propagate_forward_time: 334.8875122070, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.8196411133
validation[          , genome  6157] predictions:    6365/  10000 (63.65%), best:    6485/10000 (64.85%), error:     10448.49512, best error:     10294.75684 on epoch:    21, epoch:   23/25, mu: 0.8645603061, learning_rate: 0.0000935304, weight_decay: 0.0000331260

epoch time: 4870.5371093750s, input_fired_time: 66.1175384521, output_fired_time: 41.3183174133, propagate_forward_time: 1829.1343994141, propagate_backward_time: 2858.7980957031, weight_update_time: 0.6134116054, other_time: 75.1687011719
epoch time: 349.2428894043s, input_fired_time: 5.9863457680, output_fired_time: 0.0000000000, propagate_forward_time: 336.3424072266, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.9141235352
validation[          , genome  6157] predictions:    6479/  10000 (64.79%), best:    6479/10000 (64.79%), error:     10276.47168, best error:     10276.47168 on epoch:    24, epoch:   24/25, mu: 0.8721255660, learning_rate: 0.0000846086, weight_decay: 0.0000306257

epoch time: 4873.5395507813s, input_fired_time: 79.7582397461, output_fired_time: 31.8439865112, propagate_forward_time: 1804.0307617188, propagate_backward_time: 2859.8005371094, weight_update_time: 2.6946187019, other_time: 98.1062011719
epoch time: 387.8500366211s, input_fired_time: 6.8109354973, output_fired_time: 0.0000000000, propagate_forward_time: 371.6519165039, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.3871765137
validation[          , genome  6157] predictions:    6402/  10000 (64.02%), best:    6479/10000 (64.79%), error:     10353.00684, best error:     10276.47168 on epoch:    24, epoch:   25/25, mu: 0.8792346120, learning_rate: 0.0000765378, weight_decay: 0.0000283142

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 1930.4697265625s, input_fired_time: 34.9465179443, output_fired_time: 0.0000000000, propagate_forward_time: 1823.7115478516, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 71.8116455078
best training[          , genome  6157] predictions:   35648/  50000 (71.30%), best:    6479/10000 (64.79%), error:     43024.33594, best error:     10276.47168 on epoch:    24, epoch:   26/25, mu: 0.8859148622, learning_rate: 0.0000692369, weight_decay: 0.0000261771
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 392.6283874512s, input_fired_time: 10.2665271759, output_fired_time: 0.0000000000, propagate_forward_time: 366.7518310547, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.6100158691
   testing[          , genome  6157] predictions:    6479/  10000 (64.79%), best:    6479/10000 (64.79%), error:     10276.47168, best error:     10276.47168 on epoch:    24, epoch:   26/25, mu: 0.8859148622, learning_rate: 0.0000692369, weight_decay: 0.0000261771
backpropagation finished successfully!
21:02:11 (10692): called boinc_finish(0)

</stderr_txt>
]]>