Nameexact_genome_1542383404_169_6072_0
Workunit4093160
Created16 Nov 2018, 16:53:59 UTC
Sent16 Nov 2018, 17:20:56 UTC
Report deadline10 Dec 2018, 11:59:34 UTC
Received23 Nov 2018, 7:01:08 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID85280
Run time7 hours 23 min 57 sec
CPU time7 hours 23 min 13 sec
Validate stateValid
Credit5,944.21
Device peak FLOPS4.14 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size525.60 MB
Peak swap size545.30 MB
Peak disk usage11.52 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_1542383404_169_6072.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_169_6072_0_r1915386614_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542383404_169_6072.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 0
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6072
read normal distribution: '1 0 0'
generator_str: '1987833224'
read generator: 1987833224
read generated_by_map:
1 enable_node 1
reading 98 nodes.
reading 369 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 0
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
generator min: 1, generator max: 2147483646
pre shuffle 1: 1109899389
post shuffle 1: 1736601136
epoch time: 928.419738769531s, input_fired_time: 7.3481559753418, output_fired_time: 5.38961172103882, propagate_forward_time: 370.288818359375, propagate_backward_time: 535.894775390625, weight_update_time: 1.02266299724579, other_time: 9.4984130859375
epoch time: 73.2873764038086s, input_fired_time: 0.760506927967072, output_fired_time: 0, propagate_forward_time: 71.0839157104492, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.44295501708984
validation[          , genome  6072] predictions:    5038/  10000 (50.38%), best:    5038/10000 (50.38%), error:     17205.97852, best error:     17205.97852 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 920.9200439453s, input_fired_time: 6.3176517487, output_fired_time: 6.4076466560, propagate_forward_time: 352.2074584961, propagate_backward_time: 545.5087890625, weight_update_time: 1.0059356689, other_time: 10.4785156250
epoch time: 74.2594223022s, input_fired_time: 0.7532674074, output_fired_time: 0.0000000000, propagate_forward_time: 72.0651931763, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4409637451
validation[          , genome  6072] predictions:    4579/  10000 (45.79%), best:    5038/10000 (50.38%), error:     21523.16602, best error:     17205.97852 on epoch:     0, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
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_1542383404_169_6072.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_169_6072_0_r1915386614_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.547775
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0112813
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.00045125
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 2
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 5038
read best_validation_error: 17206
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: 6072
read normal distribution: '1 0 0'
generator_str: '584850952'
read generator: 584850952
read generated_by_map:
1 enable_node 1
reading 98 nodes.
reading 369 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
epoch time: 1036.33581542969s, input_fired_time: 7.66698503494263, output_fired_time: 5.94513988494873, propagate_forward_time: 409.446868896484, propagate_backward_time: 603.4423828125, weight_update_time: 1.09276461601257, other_time: 9.83447265625
epoch time: 86.2172317504883s, input_fired_time: 0.808018386363983, output_fired_time: 0, propagate_forward_time: 83.9027099609375, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.50650024414063
validation[          , genome  6072] predictions:    5348/  10000 (53.48%), best:    5348/10000 (53.48%), error:     14979.04785, best error:     14979.04785 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1049.9804687500s, input_fired_time: 6.6515645981, output_fired_time: 5.9702014923, propagate_forward_time: 410.8838806152, propagate_backward_time: 616.7281494141, weight_update_time: 1.0847082138, other_time: 9.7465820313
epoch time: 83.8629150391s, input_fired_time: 0.7967867851, output_fired_time: 0.0000000000, propagate_forward_time: 81.5787582397, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4873733521
validation[          , genome  6072] predictions:    5493/  10000 (54.93%), best:    5493/10000 (54.93%), error:     14255.32617, best error:     14255.32617 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1048.1184082031s, input_fired_time: 6.6539406776, output_fired_time: 6.0239977837, propagate_forward_time: 417.7535095215, propagate_backward_time: 607.5244750977, weight_update_time: 1.0912084579, other_time: 10.1624145508
epoch time: 84.8236312866s, input_fired_time: 0.7967278957, output_fired_time: 0.0000000000, propagate_forward_time: 82.5557556152, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4711456299
validation[          , genome  6072] predictions:    5259/  10000 (52.59%), best:    5493/10000 (54.93%), error:     15775.68457, best error:     14255.32617 on epoch:     3, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1051.9552001953s, input_fired_time: 7.6736125946, output_fired_time: 6.9991321564, propagate_forward_time: 417.6344299316, propagate_backward_time: 608.8013916016, weight_update_time: 2.0982446671, other_time: 10.8466796875
epoch time: 84.5947418213s, input_fired_time: 1.8154172897, output_fired_time: 0.0000000000, propagate_forward_time: 81.3042907715, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4750366211
validation[          , genome  6072] predictions:    5066/  10000 (50.66%), best:    5493/10000 (54.93%), error:     16152.75977, best error:     14255.32617 on epoch:     3, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1049.8635253906s, input_fired_time: 8.6977643967, output_fired_time: 6.0340547562, propagate_forward_time: 403.4867858887, propagate_backward_time: 621.7932128906, weight_update_time: 1.0860085487, other_time: 9.8516845703
epoch time: 86.0370330811s, input_fired_time: 0.8062058687, output_fired_time: 0.0000000000, propagate_forward_time: 83.7403564453, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4904708862
validation[          , genome  6072] predictions:    5355/  10000 (53.55%), best:    5493/10000 (54.93%), error:     14684.00391, best error:     14255.32617 on epoch:     3, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1044.9006347656s, input_fired_time: 6.6394605637, output_fired_time: 6.8655767441, propagate_forward_time: 409.0231018066, propagate_backward_time: 611.4913330078, weight_update_time: 1.0806362629, other_time: 10.8812255859
epoch time: 85.6644134521s, input_fired_time: 0.7972180247, output_fired_time: 0.0000000000, propagate_forward_time: 83.3638763428, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5033187866
validation[          , genome  6072] predictions:    5086/  10000 (50.86%), best:    5493/10000 (54.93%), error:     15839.41211, best error:     14255.32617 on epoch:     3, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1045.8101806641s, input_fired_time: 6.6480355263, output_fired_time: 7.0134739876, propagate_forward_time: 411.5846862793, propagate_backward_time: 607.6975708008, weight_update_time: 2.0968112946, other_time: 12.8663940430
epoch time: 85.4960403442s, input_fired_time: 0.8124175668, output_fired_time: 0.0000000000, propagate_forward_time: 83.1794891357, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5041351318
validation[          , genome  6072] predictions:    5365/  10000 (53.65%), best:    5365/10000 (53.65%), error:     14131.82031, best error:     14131.82031 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1043.6654052734s, input_fired_time: 6.6373715401, output_fired_time: 5.9514183998, propagate_forward_time: 410.4489135742, propagate_backward_time: 610.7349243164, weight_update_time: 1.0921207666, other_time: 9.8928222656
epoch time: 84.8065490723s, input_fired_time: 0.7927924991, output_fired_time: 0.0000000000, propagate_forward_time: 82.5402450562, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4735107422
validation[          , genome  6072] predictions:    5243/  10000 (52.43%), best:    5365/10000 (53.65%), error:     15424.54199, best error:     14131.82031 on epoch:     8, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1030.5502929688s, input_fired_time: 6.5985121727, output_fired_time: 6.9054408073, propagate_forward_time: 401.7914428711, propagate_backward_time: 602.6832275391, weight_update_time: 2.9926004410, other_time: 12.5716552734
epoch time: 83.5866622925s, input_fired_time: 0.7869917154, output_fired_time: 0.0000000000, propagate_forward_time: 81.3153457642, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4843215942
validation[          , genome  6072] predictions:    5168/  10000 (51.68%), best:    5365/10000 (53.65%), error:     14762.50000, best error:     14131.82031 on epoch:     8, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1033.5902099609s, input_fired_time: 6.6249752045, output_fired_time: 6.9469804764, propagate_forward_time: 409.6345214844, propagate_backward_time: 598.6000976563, weight_update_time: 1.0772930384, other_time: 11.7836303711
epoch time: 84.2251892090s, input_fired_time: 0.8089777231, output_fired_time: 0.0000000000, propagate_forward_time: 81.9412231445, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4749908447
validation[          , genome  6072] predictions:    5394/  10000 (53.94%), best:    5365/10000 (53.65%), error:     14312.98828, best error:     14131.82031 on epoch:     8, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1037.2343750000s, input_fired_time: 6.6382050514, output_fired_time: 7.9599833488, propagate_forward_time: 410.4026184082, propagate_backward_time: 602.4375610352, weight_update_time: 2.0960850716, other_time: 9.7960815430
epoch time: 83.4023590088s, input_fired_time: 0.7928269506, output_fired_time: 0.0000000000, propagate_forward_time: 81.1156539917, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4938812256
validation[          , genome  6072] predictions:    5541/  10000 (55.41%), best:    5541/10000 (55.41%), error:     13763.47656, best error:     13763.47656 on epoch:    12, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1030.7608642578s, input_fired_time: 8.6132917404, output_fired_time: 5.9316143990, propagate_forward_time: 400.2678833008, propagate_backward_time: 606.1642456055, weight_update_time: 1.0840069056, other_time: 9.7838134766
epoch time: 84.4818267822s, input_fired_time: 0.7811655402, output_fired_time: 0.0000000000, propagate_forward_time: 82.2199630737, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4806976318
validation[          , genome  6072] predictions:    5061/  10000 (50.61%), best:    5541/10000 (55.41%), error:     15718.61621, best error:     13763.47656 on epoch:    12, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1032.1938476563s, input_fired_time: 6.6066637039, output_fired_time: 5.8830585480, propagate_forward_time: 409.3976135254, propagate_backward_time: 601.5744628906, weight_update_time: 1.0717879534, other_time: 8.7320556641
epoch time: 84.5416946411s, input_fired_time: 0.8133614063, output_fired_time: 0.0000000000, propagate_forward_time: 82.2331314087, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4952011108
validation[          , genome  6072] predictions:    5338/  10000 (53.38%), best:    5541/10000 (55.41%), error:     14403.37012, best error:     13763.47656 on epoch:    12, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1031.2209472656s, input_fired_time: 6.6355819702, output_fired_time: 5.9286437035, propagate_forward_time: 409.1556701660, propagate_backward_time: 600.7163085938, weight_update_time: 1.0812124014, other_time: 8.7846679688
epoch time: 83.0691986084s, input_fired_time: 0.8084849119, output_fired_time: 0.0000000000, propagate_forward_time: 80.8019638062, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4587478638
validation[          , genome  6072] predictions:    5532/  10000 (55.32%), best:    5532/10000 (55.32%), error:     13429.80273, best error:     13429.80273 on epoch:    15, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1043.2955322266s, input_fired_time: 6.6919760704, output_fired_time: 6.9941740036, propagate_forward_time: 410.3680725098, propagate_backward_time: 609.4288940430, weight_update_time: 1.0815609694, other_time: 9.8124389648
epoch time: 85.4834060669s, input_fired_time: 0.8161842227, output_fired_time: 0.0000000000, propagate_forward_time: 83.1841888428, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4830322266
validation[          , genome  6072] predictions:    5724/  10000 (57.24%), best:    5724/10000 (57.24%), error:     13315.46191, best error:     13315.46191 on epoch:    16, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1038.2995605469s, input_fired_time: 6.6317877769, output_fired_time: 5.9656386375, propagate_forward_time: 409.1279907227, propagate_backward_time: 605.8815917969, weight_update_time: 1.0743597746, other_time: 10.6924438477
epoch time: 84.0395965576s, input_fired_time: 0.8049119711, output_fired_time: 0.0000000000, propagate_forward_time: 81.7640686035, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4706192017
validation[          , genome  6072] predictions:    5427/  10000 (54.27%), best:    5724/10000 (57.24%), error:     13948.93848, best error:     13315.46191 on epoch:    16, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1046.2679443359s, input_fired_time: 6.7071590424, output_fired_time: 6.9737629890, propagate_forward_time: 419.8386840820, propagate_backward_time: 603.9280395508, weight_update_time: 1.0893181562, other_time: 8.8203125000
epoch time: 83.7799301147s, input_fired_time: 0.7956036329, output_fired_time: 0.0000000000, propagate_forward_time: 81.5097274780, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4746017456
validation[          , genome  6072] predictions:    5467/  10000 (54.67%), best:    5724/10000 (57.24%), error:     13913.63086, best error:     13315.46191 on epoch:    16, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1046.9801025391s, input_fired_time: 7.7090711594, output_fired_time: 6.0375490189, propagate_forward_time: 413.3198852539, propagate_backward_time: 609.1586914063, weight_update_time: 1.0949574709, other_time: 10.7548217773
epoch time: 85.9696197510s, input_fired_time: 0.8183017969, output_fired_time: 0.0000000000, propagate_forward_time: 83.6533584595, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4979629517
validation[          , genome  6072] predictions:    5445/  10000 (54.45%), best:    5724/10000 (57.24%), error:     14313.01758, best error:     13315.46191 on epoch:    16, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1046.3111572266s, input_fired_time: 8.6995496750, output_fired_time: 7.7811241150, propagate_forward_time: 407.7375183105, propagate_backward_time: 611.2322387695, weight_update_time: 2.0936427116, other_time: 10.8606567383
epoch time: 85.0884628296s, input_fired_time: 0.7732466459, output_fired_time: 0.0000000000, propagate_forward_time: 82.8209762573, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4942398071
validation[          , genome  6072] predictions:    5303/  10000 (53.03%), best:    5724/10000 (57.24%), error:     14464.32715, best error:     13315.46191 on epoch:    16, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1041.8885498047s, input_fired_time: 6.6967053413, output_fired_time: 6.9762897491, propagate_forward_time: 413.6724548340, propagate_backward_time: 603.7634887695, weight_update_time: 1.0885397196, other_time: 10.7796020508
epoch time: 85.7694244385s, input_fired_time: 1.8345586061, output_fired_time: 0.0000000000, propagate_forward_time: 82.4352416992, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4996261597
validation[          , genome  6072] predictions:    5600/  10000 (56.00%), best:    5600/10000 (56.00%), error:     13290.33105, best error:     13290.33105 on epoch:    21, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1041.9538574219s, input_fired_time: 6.7242946625, output_fired_time: 6.9528799057, propagate_forward_time: 411.1651611328, propagate_backward_time: 608.3270874023, weight_update_time: 1.0842634439, other_time: 8.7844848633
epoch time: 84.5860214233s, input_fired_time: 0.8219888210, output_fired_time: 0.0000000000, propagate_forward_time: 82.2754592896, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4885711670
validation[          , genome  6072] predictions:    5587/  10000 (55.87%), best:    5600/10000 (56.00%), error:     13970.41113, best error:     13290.33105 on epoch:    21, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1045.1529541016s, input_fired_time: 7.7637166977, output_fired_time: 5.9268202782, propagate_forward_time: 415.2503967285, propagate_backward_time: 606.4420776367, weight_update_time: 1.0768129826, other_time: 9.7699584961
epoch time: 84.1272125244s, input_fired_time: 0.8126256466, output_fired_time: 0.0000000000, propagate_forward_time: 81.8379669189, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4766235352
validation[          , genome  6072] predictions:    5538/  10000 (55.38%), best:    5600/10000 (56.00%), error:     14113.07617, best error:     13290.33105 on epoch:    21, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1040.0385742188s, input_fired_time: 7.8378348351, output_fired_time: 5.9851412773, propagate_forward_time: 409.8849487305, propagate_backward_time: 605.5421752930, weight_update_time: 1.0866804123, other_time: 10.7884521484
epoch time: 85.6443176270s, input_fired_time: 0.8285641670, output_fired_time: 0.0000000000, propagate_forward_time: 83.3091278076, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5066223145
validation[          , genome  6072] predictions:    5754/  10000 (57.54%), best:    5754/10000 (57.54%), error:     13063.77344, best error:     13063.77344 on epoch:    24, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1050.0572509766s, input_fired_time: 7.7874016762, output_fired_time: 6.0162978172, propagate_forward_time: 415.6958618164, propagate_backward_time: 610.6165771484, weight_update_time: 2.1098124981, other_time: 9.9411010742
epoch time: 83.8989715576s, input_fired_time: 0.8232721686, output_fired_time: 0.0000000000, propagate_forward_time: 81.5909347534, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4847640991
validation[          , genome  6072] predictions:    5566/  10000 (55.66%), best:    5754/10000 (57.54%), error:     13782.68164, best error:     13063.77344 on epoch:    24, epoch:   25/25, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 424.0907287598s, input_fired_time: 5.0392694473, output_fired_time: 0.0000000000, propagate_forward_time: 411.5359497070, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.5155029297
best training[          , genome  6072] predictions:   32562/  50000 (65.12%), best:    5754/10000 (57.54%), error:     50990.64063, best error:     13063.77344 on epoch:    24, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 83.6714630127s, input_fired_time: 0.8182811737, output_fired_time: 0.0000000000, propagate_forward_time: 81.3966064453, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4565734863
   testing[          , genome  6072] predictions:    5754/  10000 (57.54%), best:    5754/10000 (57.54%), error:     13063.77344, best error:     13063.77344 on epoch:    24, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
00:00:47 (23304): called boinc_finish(0)

</stderr_txt>
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