Nameexact_genome_1542605141_169_6286_1
Workunit4098250
Created19 Nov 2018, 5:58:41 UTC
Sent19 Nov 2018, 6:06:03 UTC
Report deadline15 Dec 2018, 17:24:11 UTC
Received19 Nov 2018, 18:51:55 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID10687
Run time11 hours 4 min 17 sec
CPU time10 hours 57 min 18 sec
Validate stateValid
Credit6,617.73
Device peak FLOPS4.69 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size519.68 MB
Peak swap size518.13 MB
Peak disk usage11.98 MB

Stderr output

<core_client_version>7.4.42</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_169_6286.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_169_6286_1_r2063146871_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542605141_169_6286.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: 6286
read normal distribution: '1 0 0'
generator_str: '1853173628'
read generator: 1853173628
read generated_by_map:
1 disable_node 1
reading 102 nodes.
reading 387 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: 1333833355
post shuffle 1: 744122569
epoch time: 1343.03894042969s, input_fired_time: 11.0005130767822, output_fired_time: 8.95572471618652, propagate_forward_time: 491.339660644531, propagate_backward_time: 818.746887207031, weight_update_time: 1.39152777194977, other_time: 12.9962158203125
epoch time: 100.717651367188s, input_fired_time: 1.22444927692413, output_fired_time: 0, propagate_forward_time: 97.1206893920898, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.37251281738281
validation[          , genome  6286] predictions:    5090/  10000 (50.90%), best:    5090/10000 (50.90%), error:     16275.68555, best error:     16275.68555 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1362.2487792969s, input_fired_time: 10.8905143738, output_fired_time: 8.9702358246, propagate_forward_time: 493.8098754883, propagate_backward_time: 834.8864746094, weight_update_time: 1.4624598026, other_time: 13.6917114258
epoch time: 101.3694763184s, input_fired_time: 1.2193666697, output_fired_time: 0.0000000000, propagate_forward_time: 97.7801666260, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3699417114
validation[          , genome  6286] predictions:    4868/  10000 (48.68%), best:    5090/10000 (50.90%), error:     17908.84570, best error:     16275.68555 on epoch:     0, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1340.3543701172s, input_fired_time: 10.8238439560, output_fired_time: 9.0347347260, propagate_forward_time: 489.7714843750, propagate_backward_time: 818.1412963867, weight_update_time: 1.3477061987, other_time: 12.5829467773
epoch time: 101.5193481445s, input_fired_time: 1.1964677572, output_fired_time: 0.0000000000, propagate_forward_time: 97.9804306030, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3424530029
validation[          , genome  6286] predictions:    4769/  10000 (47.69%), best:    5090/10000 (50.90%), error:     18081.54492, best error:     16275.68555 on epoch:     0, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1349.6625976563s, input_fired_time: 10.8332080841, output_fired_time: 9.0958337784, propagate_forward_time: 493.2288208008, propagate_backward_time: 823.5170288086, weight_update_time: 1.3989276886, other_time: 12.9876708984
epoch time: 102.2034988403s, input_fired_time: 1.2368382215, output_fired_time: 0.0000000000, propagate_forward_time: 98.6479797363, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3186798096
validation[          , genome  6286] predictions:    5059/  10000 (50.59%), best:    5059/10000 (50.59%), error:     15818.18457, best error:     15818.18457 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1345.0404052734s, input_fired_time: 10.7957220078, output_fired_time: 8.9619655609, propagate_forward_time: 491.6898803711, propagate_backward_time: 820.6385498047, weight_update_time: 1.3939439058, other_time: 12.9542846680
epoch time: 103.9563140869s, input_fired_time: 1.2351438999, output_fired_time: 0.0000000000, propagate_forward_time: 100.3027191162, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4184494019
validation[          , genome  6286] predictions:    5200/  10000 (52.00%), best:    5059/10000 (50.59%), error:     15858.72754, best error:     15818.18457 on epoch:     3, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1399.3745117188s, input_fired_time: 11.1348094940, output_fired_time: 9.2865600586, propagate_forward_time: 509.7488708496, propagate_backward_time: 856.6532592773, weight_update_time: 1.3479733467, other_time: 12.5509643555
epoch time: 105.9456024170s, input_fired_time: 1.2381799221, output_fired_time: 0.0000000000, propagate_forward_time: 102.2266540527, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4807662964
validation[          , genome  6286] predictions:    5139/  10000 (51.39%), best:    5059/10000 (50.59%), error:     16346.33691, best error:     15818.18457 on epoch:     3, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

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_1542605141_169_6286.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_169_6286_1_r2063146871_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: 0.629805
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00918865
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000367546
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: 6
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 3
read number_validation_images: 10000
read best_validation_predictions: 5059
read best_validation_error: 15818.2
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: 6286
read normal distribution: '1 0 0'
generator_str: '1514558525'
read generator: 1514558525
read generated_by_map:
1 disable_node 1
reading 102 nodes.
reading 387 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_1542605141_169_6286.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_169_6286_1_r2063146871_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: 0.629805
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00918865
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000367546
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: 6
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 3
read number_validation_images: 10000
read best_validation_predictions: 5059
read best_validation_error: 15818.2
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: 6286
read normal distribution: '1 0 0'
generator_str: '1514558525'
read generator: 1514558525
read generated_by_map:
1 disable_node 1
reading 102 nodes.
reading 387 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: 1396.8154296875s, input_fired_time: 11.1346626281738, output_fired_time: 9.26286029815674, propagate_forward_time: 509.620147705078, propagate_backward_time: 854.318786621094, weight_update_time: 1.30862390995026, other_time: 12.4790649414063
epoch time: 107.056869506836s, input_fired_time: 1.25768089294434, output_fired_time: 0, propagate_forward_time: 103.357780456543, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.44140625
validation[          , genome  6286] predictions:    5298/  10000 (52.98%), best:    5298/10000 (52.98%), error:     14448.76172, best error:     14448.76172 on epoch:     6, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1403.6308593750s, input_fired_time: 11.2081737518, output_fired_time: 9.3682928085, propagate_forward_time: 513.9702148438, propagate_backward_time: 855.9092407227, weight_update_time: 1.4737737179, other_time: 13.1749877930
epoch time: 107.9312591553s, input_fired_time: 1.2574057579, output_fired_time: 0.0000000000, propagate_forward_time: 104.2326354980, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4412155151
validation[          , genome  6286] predictions:    5335/  10000 (53.35%), best:    5335/10000 (53.35%), error:     14419.51172, best error:     14419.51172 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1403.8732910156s, input_fired_time: 11.2396392822, output_fired_time: 9.2820472717, propagate_forward_time: 514.4262084961, propagate_backward_time: 854.8317871094, weight_update_time: 1.5245286226, other_time: 14.0935668945
epoch time: 106.8843460083s, input_fired_time: 1.2779331207, output_fired_time: 0.0000000000, propagate_forward_time: 103.1122817993, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4941329956
validation[          , genome  6286] predictions:    5529/  10000 (55.29%), best:    5529/10000 (55.29%), error:     13542.54297, best error:     13542.54297 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1510.0502929688s, input_fired_time: 11.3947515488, output_fired_time: 9.4059782028, propagate_forward_time: 519.9879150391, propagate_backward_time: 956.2821655273, weight_update_time: 1.4215734005, other_time: 12.9794311523
epoch time: 109.2812500000s, input_fired_time: 1.2558637857, output_fired_time: 0.0000000000, propagate_forward_time: 105.5386505127, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4867324829
validation[          , genome  6286] predictions:    5255/  10000 (52.55%), best:    5529/10000 (55.29%), error:     15277.59082, best error:     13542.54297 on epoch:     8, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1412.4658203125s, input_fired_time: 11.2856979370, output_fired_time: 9.2780847549, propagate_forward_time: 521.6693115234, propagate_backward_time: 855.9642333984, weight_update_time: 1.5425530672, other_time: 14.2685546875
epoch time: 109.6165542603s, input_fired_time: 1.3061805964, output_fired_time: 0.0000000000, propagate_forward_time: 105.8591308594, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4512405396
validation[          , genome  6286] predictions:    5555/  10000 (55.55%), best:    5529/10000 (55.29%), error:     13581.76563, best error:     13542.54297 on epoch:     8, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1416.1197509766s, input_fired_time: 11.3391485214, output_fired_time: 9.3189220428, propagate_forward_time: 518.1954345703, propagate_backward_time: 862.9644775391, weight_update_time: 1.5422339439, other_time: 14.3017578125
epoch time: 108.2733383179s, input_fired_time: 1.2856410742, output_fired_time: 0.0000000000, propagate_forward_time: 104.4700164795, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5176773071
validation[          , genome  6286] predictions:    5506/  10000 (55.06%), best:    5529/10000 (55.29%), error:     14159.38281, best error:     13542.54297 on epoch:     8, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1430.2922363281s, input_fired_time: 11.4043083191, output_fired_time: 9.3651676178, propagate_forward_time: 528.5567016602, propagate_backward_time: 866.7250976563, weight_update_time: 1.5462247133, other_time: 14.2410278320
epoch time: 110.1637191772s, input_fired_time: 1.3315968513, output_fired_time: 0.0000000000, propagate_forward_time: 106.3818817139, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4502410889
validation[          , genome  6286] predictions:    5172/  10000 (51.72%), best:    5529/10000 (55.29%), error:     15779.13965, best error:     13542.54297 on epoch:     8, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1444.2631835938s, input_fired_time: 11.5665798187, output_fired_time: 9.5619583130, propagate_forward_time: 527.7843627930, propagate_backward_time: 881.7780151367, weight_update_time: 1.4654561281, other_time: 13.5722656250
epoch time: 110.1178054810s, input_fired_time: 1.3394435644, output_fired_time: 0.0000000000, propagate_forward_time: 106.3399887085, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4383697510
validation[          , genome  6286] predictions:    5586/  10000 (55.86%), best:    5529/10000 (55.29%), error:     13726.80859, best error:     13542.54297 on epoch:     8, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1449.3321533203s, input_fired_time: 11.5237836838, output_fired_time: 9.7280139923, propagate_forward_time: 532.3745117188, propagate_backward_time: 882.9558105469, weight_update_time: 1.3751627207, other_time: 12.7500000000
epoch time: 109.8153305054s, input_fired_time: 1.2760413885, output_fired_time: 0.0000000000, propagate_forward_time: 106.0771560669, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4621353149
validation[          , genome  6286] predictions:    5416/  10000 (54.16%), best:    5529/10000 (55.29%), error:     14136.13574, best error:     13542.54297 on epoch:     8, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1414.9460449219s, input_fired_time: 11.3083677292, output_fired_time: 9.2877063751, propagate_forward_time: 517.4877319336, propagate_backward_time: 863.5693359375, weight_update_time: 1.4273129702, other_time: 13.2929077148
epoch time: 106.7673034668s, input_fired_time: 1.2771472931, output_fired_time: 0.0000000000, propagate_forward_time: 103.0870437622, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4031143188
validation[          , genome  6286] predictions:    5344/  10000 (53.44%), best:    5529/10000 (55.29%), error:     14310.05273, best error:     13542.54297 on epoch:     8, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1394.9476318359s, input_fired_time: 11.2044277191, output_fired_time: 9.2695770264, propagate_forward_time: 511.8681945801, propagate_backward_time: 848.4299316406, weight_update_time: 1.5422823429, other_time: 14.1755371094
epoch time: 106.7745437622s, input_fired_time: 1.2786777020, output_fired_time: 0.0000000000, propagate_forward_time: 103.0396881104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4561767578
validation[          , genome  6286] predictions:    5467/  10000 (54.67%), best:    5529/10000 (55.29%), error:     14170.00000, best error:     13542.54297 on epoch:     8, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1393.4815673828s, input_fired_time: 11.2431297302, output_fired_time: 9.2092027664, propagate_forward_time: 511.0029296875, propagate_backward_time: 847.9191284180, weight_update_time: 1.5247243643, other_time: 14.1071166992
epoch time: 107.3869018555s, input_fired_time: 1.3272733688, output_fired_time: 0.0000000000, propagate_forward_time: 103.5159759521, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5436553955
validation[          , genome  6286] predictions:    5524/  10000 (55.24%), best:    5529/10000 (55.29%), error:     13746.45996, best error:     13542.54297 on epoch:     8, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1405.1879882813s, input_fired_time: 11.2944927216, output_fired_time: 9.2690114975, propagate_forward_time: 514.9937133789, propagate_backward_time: 855.7065429688, weight_update_time: 1.5090576410, other_time: 13.9242553711
epoch time: 105.8817977905s, input_fired_time: 1.2862808704, output_fired_time: 0.0000000000, propagate_forward_time: 102.1645355225, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4309844971
validation[          , genome  6286] predictions:    5349/  10000 (53.49%), best:    5529/10000 (55.29%), error:     14377.77832, best error:     13542.54297 on epoch:     8, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1402.4310302734s, input_fired_time: 11.3001174927, output_fired_time: 9.3335952759, propagate_forward_time: 513.0034179688, propagate_backward_time: 855.4542846680, weight_update_time: 1.4449260235, other_time: 13.3395385742
epoch time: 106.5737762451s, input_fired_time: 1.2920047045, output_fired_time: 0.0000000000, propagate_forward_time: 102.8154373169, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4663314819
validation[          , genome  6286] predictions:    5607/  10000 (56.07%), best:    5607/10000 (56.07%), error:     13358.97266, best error:     13358.97266 on epoch:    19, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1402.4079589844s, input_fired_time: 11.3136777878, output_fired_time: 9.2905273438, propagate_forward_time: 514.0762329102, propagate_backward_time: 854.2827758789, weight_update_time: 1.4766453505, other_time: 13.4447021484
epoch time: 106.7640228271s, input_fired_time: 1.2918679714, output_fired_time: 0.0000000000, propagate_forward_time: 102.9952239990, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4769287109
validation[          , genome  6286] predictions:    5659/  10000 (56.59%), best:    5659/10000 (56.59%), error:     13192.41602, best error:     13192.41602 on epoch:    20, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1402.0750732422s, input_fired_time: 11.3529338837, output_fired_time: 9.2779273987, propagate_forward_time: 514.7669677734, propagate_backward_time: 852.7349243164, weight_update_time: 1.5031057596, other_time: 13.9423217773
epoch time: 106.4298400879s, input_fired_time: 1.2832610607, output_fired_time: 0.0000000000, propagate_forward_time: 102.5037384033, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6428375244
validation[          , genome  6286] predictions:    5620/  10000 (56.20%), best:    5659/10000 (56.59%), error:     13912.15430, best error:     13192.41602 on epoch:    20, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1422.8341064453s, input_fired_time: 11.5241174698, output_fired_time: 9.4470844269, propagate_forward_time: 521.3294677734, propagate_backward_time: 867.7655029297, weight_update_time: 1.3734736443, other_time: 12.7678222656
epoch time: 107.4645538330s, input_fired_time: 1.3169584274, output_fired_time: 0.0000000000, propagate_forward_time: 103.7211074829, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4264907837
validation[          , genome  6286] predictions:    5709/  10000 (57.09%), best:    5659/10000 (56.59%), error:     13323.10254, best error:     13192.41602 on epoch:    20, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1411.0278320313s, input_fired_time: 11.3901405334, output_fired_time: 9.4370393753, propagate_forward_time: 516.0357666016, propagate_backward_time: 861.5701293945, weight_update_time: 1.3343467712, other_time: 12.5947875977
epoch time: 107.9771499634s, input_fired_time: 1.3375159502, output_fired_time: 0.0000000000, propagate_forward_time: 104.1843414307, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4552917480
validation[          , genome  6286] predictions:    5741/  10000 (57.41%), best:    5659/10000 (56.59%), error:     13463.35059, best error:     13192.41602 on epoch:    20, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1429.8693847656s, input_fired_time: 11.6084299088, output_fired_time: 9.3261995316, propagate_forward_time: 528.1005859375, propagate_backward_time: 866.5357666016, weight_update_time: 1.5333385468, other_time: 14.2984619141
epoch time: 106.4281692505s, input_fired_time: 1.3162885904, output_fired_time: 0.0000000000, propagate_forward_time: 102.6768722534, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4350051880
validation[          , genome  6286] predictions:    5812/  10000 (58.12%), best:    5812/10000 (58.12%), error:     12637.38965, best error:     12637.38965 on epoch:    24, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1406.3120117188s, input_fired_time: 11.4490880966, output_fired_time: 9.2684164047, propagate_forward_time: 514.9519653320, propagate_backward_time: 856.7420654297, weight_update_time: 1.5158730745, other_time: 13.9004516602
epoch time: 106.6788406372s, input_fired_time: 1.2911082506, output_fired_time: 0.0000000000, propagate_forward_time: 102.9297256470, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4580078125
validation[          , genome  6286] predictions:    5541/  10000 (55.41%), best:    5812/10000 (58.12%), error:     14208.75391, best error:     12637.38965 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: 541.6525878906s, input_fired_time: 6.6841716766, output_fired_time: 0.0000000000, propagate_forward_time: 522.4460449219, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.5223999023
best training[          , genome  6286] predictions:   33133/  50000 (66.27%), best:    5812/10000 (58.12%), error:     49036.39063, best error:     12637.38965 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: 106.9074401855s, input_fired_time: 1.3231631517, output_fired_time: 0.0000000000, propagate_forward_time: 103.1150588989, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4692153931
   testing[          , genome  6286] predictions:    5812/  10000 (58.12%), best:    5812/10000 (58.12%), error:     12637.38965, best error:     12637.38965 on epoch:    24, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
05:51:17 (4608): called boinc_finish(0)

</stderr_txt>
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