Nameexact_genome_1542649503_175_6356_2
Workunit4099866
Created21 Nov 2018, 1:46:13 UTC
Sent21 Nov 2018, 1:46:26 UTC
Report deadline28 Dec 2018, 20:27:19 UTC
Received22 Nov 2018, 6:52:20 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID80138
Run time9 hours 42 min 28 sec
CPU time9 hours 40 min 19 sec
Validate stateValid
Credit9,444.60
Device peak FLOPS4.49 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size521.19 MB
Peak swap size541.05 MB
Peak disk usage8.70 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_175_6356.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_175_6356_2_r1942482874_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542649503_175_6356.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 0
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6356
read normal distribution: '1 0.977818489074707 1.17624974250793'
generator_str: '299831628'
read generator: 299831628
read generated_by_map:
1 merge_node 1
reading 69 nodes.
reading 247 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: 1273535934
post shuffle 1: 1955925866
epoch time: 651.1494140625s, input_fired_time: 5.79583263397217, output_fired_time: 3.88298988342285, propagate_forward_time: 181.494323730469, propagate_backward_time: 454.157623291016, weight_update_time: 0.685583710670471, other_time: 5.81863403320313
epoch time: 37.7771835327148s, input_fired_time: 0.605873882770538, output_fired_time: 0, propagate_forward_time: 36.0995292663574, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.07178115844727
validation[          , genome  6356] predictions:    4892/  10000 (48.92%), best:    4892/10000 (48.92%), error:     17981.66992, best error:     17981.66992 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 651.4434814453s, input_fired_time: 5.7111802101, output_fired_time: 3.8844890594, propagate_forward_time: 181.5103607178, propagate_backward_time: 453.9003295898, weight_update_time: 0.6842080951, other_time: 6.4371337891
epoch time: 37.7679290771s, input_fired_time: 0.5905147791, output_fired_time: 0.0000000000, propagate_forward_time: 36.1004486084, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0769653320
validation[          , genome  6356] predictions:    5511/  10000 (55.11%), best:    5511/10000 (55.11%), error:     14210.51953, best error:     14210.51953 on epoch:     1, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 649.5689697266s, input_fired_time: 5.6816463470, output_fired_time: 3.8566939831, propagate_forward_time: 180.9237213135, propagate_backward_time: 453.0505981445, weight_update_time: 0.6844078302, other_time: 6.0563354492
epoch time: 37.8615188599s, input_fired_time: 0.5765748620, output_fired_time: 0.0000000000, propagate_forward_time: 36.1987686157, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0861740112
validation[          , genome  6356] predictions:    4868/  10000 (48.68%), best:    5511/10000 (55.11%), error:     16543.00781, best error:     14210.51953 on epoch:     1, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 649.6661987305s, input_fired_time: 5.6684436798, output_fired_time: 3.8839673996, propagate_forward_time: 180.7981872559, propagate_backward_time: 452.8241577148, weight_update_time: 0.6821511388, other_time: 6.4914245605
epoch time: 37.6895141602s, input_fired_time: 0.5692822337, output_fired_time: 0.0000000000, propagate_forward_time: 36.0537719727, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0664596558
validation[          , genome  6356] predictions:    5226/  10000 (52.26%), best:    5511/10000 (55.11%), error:     15276.62695, best error:     14210.51953 on epoch:     1, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 651.0121459961s, input_fired_time: 5.6515221596, output_fired_time: 3.8378558159, propagate_forward_time: 181.4452972412, propagate_backward_time: 453.3731384277, weight_update_time: 0.6800308228, other_time: 6.7043151855
epoch time: 37.7331962585s, input_fired_time: 0.5590208173, output_fired_time: 0.0000000000, propagate_forward_time: 36.0939102173, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0802650452
validation[          , genome  6356] predictions:    4966/  10000 (49.66%), best:    5511/10000 (55.11%), error:     16241.08691, best error:     14210.51953 on epoch:     1, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 648.7950439453s, input_fired_time: 5.6284198761, output_fired_time: 3.8418946266, propagate_forward_time: 180.7031250000, propagate_backward_time: 452.1910095215, weight_update_time: 0.6798701882, other_time: 6.4305725098
epoch time: 37.6792335510s, input_fired_time: 0.5884823799, output_fired_time: 0.0000000000, propagate_forward_time: 36.0324745178, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0582771301
validation[          , genome  6356] predictions:    5195/  10000 (51.95%), best:    5511/10000 (55.11%), error:     15613.19824, best error:     14210.51953 on epoch:     1, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 648.2858276367s, input_fired_time: 5.6340217590, output_fired_time: 3.8349006176, propagate_forward_time: 180.7429504395, propagate_backward_time: 451.6496582031, weight_update_time: 0.6796163321, other_time: 6.4242858887
epoch time: 37.7466163635s, input_fired_time: 0.5753387809, output_fired_time: 0.0000000000, propagate_forward_time: 36.1112365723, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0600395203
validation[          , genome  6356] predictions:    5389/  10000 (53.89%), best:    5511/10000 (55.11%), error:     15255.29297, best error:     14210.51953 on epoch:     1, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 648.5954589844s, input_fired_time: 5.6319928169, output_fired_time: 3.8347074986, propagate_forward_time: 180.7619323730, propagate_backward_time: 451.9428405762, weight_update_time: 0.6799559593, other_time: 6.4239501953
epoch time: 37.7379341125s, input_fired_time: 0.5858784318, output_fired_time: 0.0000000000, propagate_forward_time: 36.0960769653, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0559768677
validation[          , genome  6356] predictions:    5462/  10000 (54.62%), best:    5462/10000 (54.62%), error:     13786.13867, best error:     13786.13867 on epoch:     7, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 648.1439208984s, input_fired_time: 5.6204891205, output_fired_time: 3.8337392807, propagate_forward_time: 180.4334106445, propagate_backward_time: 451.8430786133, weight_update_time: 0.6789487004, other_time: 6.4132080078
epoch time: 37.7391586304s, input_fired_time: 0.5823526382, output_fired_time: 0.0000000000, propagate_forward_time: 36.0898742676, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0669326782
validation[          , genome  6356] predictions:    5313/  10000 (53.13%), best:    5462/10000 (54.62%), error:     14885.32422, best error:     13786.13867 on epoch:     7, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 648.4855957031s, input_fired_time: 5.6327252388, output_fired_time: 3.8386793137, propagate_forward_time: 180.6279144287, propagate_backward_time: 451.9821472168, weight_update_time: 0.6759427786, other_time: 6.4040832520
epoch time: 37.7210235596s, input_fired_time: 0.5807197094, output_fired_time: 0.0000000000, propagate_forward_time: 36.0750541687, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0652503967
validation[          , genome  6356] predictions:    5360/  10000 (53.60%), best:    5462/10000 (54.62%), error:     14295.98730, best error:     13786.13867 on epoch:     7, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 648.2418212891s, input_fired_time: 5.6320452690, output_fired_time: 3.8368899822, propagate_forward_time: 180.5486907959, propagate_backward_time: 451.8435974121, weight_update_time: 0.6795524955, other_time: 6.3805847168
epoch time: 37.6923217773s, input_fired_time: 0.5707055330, output_fired_time: 0.0000000000, propagate_forward_time: 36.0414810181, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0801353455
validation[          , genome  6356] predictions:    5173/  10000 (51.73%), best:    5462/10000 (54.62%), error:     15197.79980, best error:     13786.13867 on epoch:     7, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 648.0455322266s, input_fired_time: 5.6304221153, output_fired_time: 3.8446168900, propagate_forward_time: 180.5549316406, propagate_backward_time: 451.6556701660, weight_update_time: 0.6809664965, other_time: 6.3598937988
epoch time: 37.6848487854s, input_fired_time: 0.5832924247, output_fired_time: 0.0000000000, propagate_forward_time: 36.0378608704, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0636940002
validation[          , genome  6356] predictions:    5226/  10000 (52.26%), best:    5462/10000 (54.62%), error:     14771.38965, best error:     13786.13867 on epoch:     7, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 648.9129028320s, input_fired_time: 5.6532149315, output_fired_time: 3.8468406200, propagate_forward_time: 180.6936645508, propagate_backward_time: 452.3063659668, weight_update_time: 0.6818313003, other_time: 6.4128112793
epoch time: 37.7664184570s, input_fired_time: 0.5917487741, output_fired_time: 0.0000000000, propagate_forward_time: 36.1006431580, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0740280151
validation[          , genome  6356] predictions:    5439/  10000 (54.39%), best:    5462/10000 (54.62%), error:     13936.71191, best error:     13786.13867 on epoch:     7, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 648.5732421875s, input_fired_time: 5.6588335037, output_fired_time: 3.8300702572, propagate_forward_time: 180.7663269043, propagate_backward_time: 451.9056396484, weight_update_time: 0.6812223792, other_time: 6.4123840332
epoch time: 37.7474594116s, input_fired_time: 0.5948167443, output_fired_time: 0.0000000000, propagate_forward_time: 36.0831642151, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0694770813
validation[          , genome  6356] predictions:    5669/  10000 (56.69%), best:    5669/10000 (56.69%), error:     13336.77930, best error:     13336.77930 on epoch:    13, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 648.1095581055s, input_fired_time: 5.6631140709, output_fired_time: 3.8399355412, propagate_forward_time: 180.5003356934, propagate_backward_time: 451.7404174805, weight_update_time: 0.6801778078, other_time: 6.3657531738
epoch time: 37.8083419800s, input_fired_time: 0.5912338495, output_fired_time: 0.0000000000, propagate_forward_time: 36.1478691101, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0692405701
validation[          , genome  6356] predictions:    5606/  10000 (56.06%), best:    5669/10000 (56.69%), error:     13420.14063, best error:     13336.77930 on epoch:    13, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 642.9716186523s, input_fired_time: 5.6215248108, output_fired_time: 3.8019747734, propagate_forward_time: 179.0388031006, propagate_backward_time: 448.1830139160, weight_update_time: 0.6738619804, other_time: 6.3262634277
epoch time: 37.1739006042s, input_fired_time: 0.5797447562, output_fired_time: 0.0000000000, propagate_forward_time: 35.5490455627, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0451087952
validation[          , genome  6356] predictions:    5453/  10000 (54.53%), best:    5669/10000 (56.69%), error:     14447.03809, best error:     13336.77930 on epoch:    13, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 638.4159545898s, input_fired_time: 5.5754609108, output_fired_time: 3.7717452049, propagate_forward_time: 177.7894744873, propagate_backward_time: 445.0229492188, weight_update_time: 0.6692870259, other_time: 6.2563476563
epoch time: 37.1283340454s, input_fired_time: 0.5753225684, output_fired_time: 0.0000000000, propagate_forward_time: 35.5123214722, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0406913757
validation[          , genome  6356] predictions:    5241/  10000 (52.41%), best:    5669/10000 (56.69%), error:     15697.09863, best error:     13336.77930 on epoch:    13, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 638.9310913086s, input_fired_time: 5.5965232849, output_fired_time: 3.7783825397, propagate_forward_time: 177.9051055908, propagate_backward_time: 445.4041137695, weight_update_time: 0.6722688079, other_time: 6.2470092773
epoch time: 37.1828384399s, input_fired_time: 0.5930224657, output_fired_time: 0.0000000000, propagate_forward_time: 35.5527687073, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0370483398
validation[          , genome  6356] predictions:    5555/  10000 (55.55%), best:    5669/10000 (56.69%), error:     13692.84082, best error:     13336.77930 on epoch:    13, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 638.4379882813s, input_fired_time: 5.5978603363, output_fired_time: 3.7737705708, propagate_forward_time: 177.7830047607, propagate_backward_time: 445.0245361328, weight_update_time: 0.6685115695, other_time: 6.2588500977
epoch time: 37.2514190674s, input_fired_time: 0.5838189721, output_fired_time: 0.0000000000, propagate_forward_time: 35.6249237061, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0426750183
validation[          , genome  6356] predictions:    5727/  10000 (57.27%), best:    5727/10000 (57.27%), error:     13135.19824, best error:     13135.19824 on epoch:    18, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 638.5313110352s, input_fired_time: 5.6048879623, output_fired_time: 3.7754614353, propagate_forward_time: 177.7836608887, propagate_backward_time: 445.1116333008, weight_update_time: 0.6694015861, other_time: 6.2557067871
epoch time: 37.1504249573s, input_fired_time: 0.5941898823, output_fired_time: 0.0000000000, propagate_forward_time: 35.5149002075, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0413360596
validation[          , genome  6356] predictions:    5403/  10000 (54.03%), best:    5727/10000 (57.27%), error:     14411.07813, best error:     13135.19824 on epoch:    18, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 638.6804809570s, input_fired_time: 5.6155705452, output_fired_time: 3.7763955593, propagate_forward_time: 177.8598327637, propagate_backward_time: 445.1583862305, weight_update_time: 0.6673523188, other_time: 6.2702941895
epoch time: 37.1366691589s, input_fired_time: 0.5686689019, output_fired_time: 0.0000000000, propagate_forward_time: 35.5256233215, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0423774719
validation[          , genome  6356] predictions:    5469/  10000 (54.69%), best:    5727/10000 (57.27%), error:     13913.09863, best error:     13135.19824 on epoch:    18, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 638.4995117188s, input_fired_time: 5.6304497719, output_fired_time: 3.7717390060, propagate_forward_time: 177.8498077393, propagate_backward_time: 445.0038146973, weight_update_time: 0.6707167625, other_time: 6.2437438965
epoch time: 37.1620483398s, input_fired_time: 0.5964789391, output_fired_time: 0.0000000000, propagate_forward_time: 35.5209426880, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0446281433
validation[          , genome  6356] predictions:    5753/  10000 (57.53%), best:    5753/10000 (57.53%), error:     13024.09961, best error:     13024.09961 on epoch:    21, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 638.6350708008s, input_fired_time: 5.6317005157, output_fired_time: 3.7730834484, propagate_forward_time: 177.8790588379, propagate_backward_time: 445.1184082031, weight_update_time: 0.6687936187, other_time: 6.2328186035
epoch time: 37.1937446594s, input_fired_time: 0.6035924554, output_fired_time: 0.0000000000, propagate_forward_time: 35.5478134155, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0423393250
validation[          , genome  6356] predictions:    5542/  10000 (55.42%), best:    5753/10000 (57.53%), error:     13667.98535, best error:     13024.09961 on epoch:    21, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 638.6216430664s, input_fired_time: 5.6492109299, output_fired_time: 3.7761311531, propagate_forward_time: 177.7728118896, propagate_backward_time: 445.1851806641, weight_update_time: 0.6685311198, other_time: 6.2382812500
epoch time: 37.1700363159s, input_fired_time: 0.5821967125, output_fired_time: 0.0000000000, propagate_forward_time: 35.5472908020, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0405502319
validation[          , genome  6356] predictions:    5628/  10000 (56.28%), best:    5753/10000 (57.53%), error:     13404.24414, best error:     13024.09961 on epoch:    21, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 638.9177246094s, input_fired_time: 5.6507782936, output_fired_time: 3.7763252258, propagate_forward_time: 177.8645019531, propagate_backward_time: 445.3305969238, weight_update_time: 0.6674609184, other_time: 6.2955627441
epoch time: 37.1349601746s, input_fired_time: 0.5697598457, output_fired_time: 0.0000000000, propagate_forward_time: 35.5222587585, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0429420471
validation[          , genome  6356] predictions:    5062/  10000 (50.62%), best:    5753/10000 (57.53%), error:     16120.80566, best error:     13024.09961 on epoch:    21, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 638.5291137695s, input_fired_time: 5.6465520859, output_fired_time: 3.7750725746, propagate_forward_time: 177.7523651123, propagate_backward_time: 445.0538024902, weight_update_time: 0.6683555841, other_time: 6.3013000488
epoch time: 37.2051620483s, input_fired_time: 0.5972819328, output_fired_time: 0.0000000000, propagate_forward_time: 35.5646133423, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0432662964
validation[          , genome  6356] predictions:    5603/  10000 (56.03%), best:    5753/10000 (57.53%), error:     13759.13477, best error:     13024.09961 on epoch:    21, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 638.4553222656s, input_fired_time: 5.6577425003, output_fired_time: 3.7682888508, propagate_forward_time: 177.7108917236, propagate_backward_time: 445.0607299805, weight_update_time: 0.6676874757, other_time: 6.2576904297
epoch time: 37.1841316223s, input_fired_time: 0.5996368527, output_fired_time: 0.0000000000, propagate_forward_time: 35.5421028137, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0423927307
validation[          , genome  6356] predictions:    5720/  10000 (57.20%), best:    5753/10000 (57.53%), error:     13167.17676, best error:     13024.09961 on epoch:    21, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 638.7827148438s, input_fired_time: 5.6727390289, output_fired_time: 3.7732717991, propagate_forward_time: 177.9234008789, propagate_backward_time: 445.1435852051, weight_update_time: 0.6684406400, other_time: 6.2697448730
epoch time: 37.2061386108s, input_fired_time: 0.5986986160, output_fired_time: 0.0000000000, propagate_forward_time: 35.5622634888, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0451774597
validation[          , genome  6356] predictions:    5735/  10000 (57.35%), best:    5753/10000 (57.53%), error:     13245.85254, best error:     13024.09961 on epoch:    21, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 638.6596679688s, input_fired_time: 5.6746134758, output_fired_time: 3.7751321793, propagate_forward_time: 177.8056640625, propagate_backward_time: 445.1488647461, weight_update_time: 0.6687806845, other_time: 6.2553710938
epoch time: 37.1917762756s, input_fired_time: 0.6039227843, output_fired_time: 0.0000000000, propagate_forward_time: 35.5450210571, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0428314209
validation[          , genome  6356] predictions:    5745/  10000 (57.45%), best:    5753/10000 (57.53%), error:     13137.88477, best error:     13024.09961 on epoch:    21, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 638.6968383789s, input_fired_time: 5.6919193268, output_fired_time: 3.7708563805, propagate_forward_time: 177.8217620850, propagate_backward_time: 445.1015014648, weight_update_time: 0.6679624915, other_time: 6.3107910156
epoch time: 37.2118415833s, input_fired_time: 0.6153578758, output_fired_time: 0.0000000000, propagate_forward_time: 35.5494346619, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0470504761
validation[          , genome  6356] predictions:    5723/  10000 (57.23%), best:    5723/10000 (57.23%), error:     12899.43262, best error:     12899.43262 on epoch:    29, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 638.4971313477s, input_fired_time: 5.6950244904, output_fired_time: 3.7731328011, propagate_forward_time: 177.7128295898, propagate_backward_time: 445.0270385742, weight_update_time: 0.6678068042, other_time: 6.2891235352
epoch time: 37.1750793457s, input_fired_time: 0.6050382257, output_fired_time: 0.0000000000, propagate_forward_time: 35.5313987732, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0386428833
validation[          , genome  6356] predictions:    5891/  10000 (58.91%), best:    5891/10000 (58.91%), error:     12521.86914, best error:     12521.86914 on epoch:    30, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 638.5302734375s, input_fired_time: 5.7012419701, output_fired_time: 3.7729709148, propagate_forward_time: 177.8076629639, propagate_backward_time: 445.0032348633, weight_update_time: 0.6683943868, other_time: 6.2451782227
epoch time: 37.1301765442s, input_fired_time: 0.5762625933, output_fired_time: 0.0000000000, propagate_forward_time: 35.5141716003, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0397415161
validation[          , genome  6356] predictions:    5200/  10000 (52.00%), best:    5891/10000 (58.91%), error:     14930.34375, best error:     12521.86914 on epoch:    30, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 638.5639038086s, input_fired_time: 5.7154927254, output_fired_time: 3.7707366943, propagate_forward_time: 177.8095550537, propagate_backward_time: 445.0746459961, weight_update_time: 0.6680529714, other_time: 6.1934204102
epoch time: 37.1842422485s, input_fired_time: 0.6095789671, output_fired_time: 0.0000000000, propagate_forward_time: 35.5313911438, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0432739258
validation[          , genome  6356] predictions:    5854/  10000 (58.54%), best:    5891/10000 (58.91%), error:     12765.19531, best error:     12521.86914 on epoch:    30, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 638.6719970703s, input_fired_time: 5.7255067825, output_fired_time: 3.7758688927, propagate_forward_time: 177.7235260010, propagate_backward_time: 445.1470031738, weight_update_time: 0.6689752340, other_time: 6.3000793457
epoch time: 37.1656303406s, input_fired_time: 0.6096121073, output_fired_time: 0.0000000000, propagate_forward_time: 35.5140113831, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0420074463
validation[          , genome  6356] predictions:    6032/  10000 (60.32%), best:    6032/10000 (60.32%), error:     12055.18457, best error:     12055.18457 on epoch:    33, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 638.5195922852s, input_fired_time: 5.7196879387, output_fired_time: 3.7734766006, propagate_forward_time: 177.7400970459, propagate_backward_time: 445.0183105469, weight_update_time: 0.6690141559, other_time: 6.2680053711
epoch time: 37.2841758728s, input_fired_time: 0.6186950803, output_fired_time: 0.0000000000, propagate_forward_time: 35.6224822998, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0429992676
validation[          , genome  6356] predictions:    5779/  10000 (57.79%), best:    6032/10000 (60.32%), error:     13079.00293, best error:     12055.18457 on epoch:    33, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 638.8979492188s, input_fired_time: 5.7446742058, output_fired_time: 3.7785680294, propagate_forward_time: 177.8624725342, propagate_backward_time: 445.2500610352, weight_update_time: 0.6698759198, other_time: 6.2621459961
epoch time: 37.1762924194s, input_fired_time: 0.6137779951, output_fired_time: 0.0000000000, propagate_forward_time: 35.5227470398, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0397682190
validation[          , genome  6356] predictions:    5579/  10000 (55.79%), best:    6032/10000 (60.32%), error:     13646.89648, best error:     12055.18457 on epoch:    33, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 638.7667236328s, input_fired_time: 5.7396755219, output_fired_time: 3.7696380615, propagate_forward_time: 177.8650360107, propagate_backward_time: 445.1618041992, weight_update_time: 0.6685974002, other_time: 6.2305297852
epoch time: 37.2248687744s, input_fired_time: 0.6180034280, output_fired_time: 0.0000000000, propagate_forward_time: 35.5647964478, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0420684814
validation[          , genome  6356] predictions:    5822/  10000 (58.22%), best:    6032/10000 (60.32%), error:     12928.84082, best error:     12055.18457 on epoch:    33, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 638.5885009766s, input_fired_time: 5.7499108315, output_fired_time: 3.7711443901, propagate_forward_time: 177.8025360107, propagate_backward_time: 445.0215454102, weight_update_time: 0.6671881676, other_time: 6.2433471680
epoch time: 37.2153549194s, input_fired_time: 0.6166450381, output_fired_time: 0.0000000000, propagate_forward_time: 35.5559768677, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0427322388
validation[          , genome  6356] predictions:    5849/  10000 (58.49%), best:    6032/10000 (60.32%), error:     12675.41699, best error:     12055.18457 on epoch:    33, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 639.0145874023s, input_fired_time: 5.7426981926, output_fired_time: 3.7774667740, propagate_forward_time: 177.8805999756, propagate_backward_time: 445.3164978027, weight_update_time: 0.6678519845, other_time: 6.2973327637
epoch time: 37.1834182739s, input_fired_time: 0.6042562127, output_fired_time: 0.0000000000, propagate_forward_time: 35.5417060852, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0374565125
validation[          , genome  6356] predictions:    5798/  10000 (57.98%), best:    6032/10000 (60.32%), error:     13078.55176, best error:     12055.18457 on epoch:    33, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 638.7067871094s, input_fired_time: 5.7564454079, output_fired_time: 3.7756819725, propagate_forward_time: 177.7734222412, propagate_backward_time: 445.1842346191, weight_update_time: 0.6696225405, other_time: 6.2169494629
epoch time: 37.1962394714s, input_fired_time: 0.6155601740, output_fired_time: 0.0000000000, propagate_forward_time: 35.5420150757, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0386657715
validation[          , genome  6356] predictions:    5922/  10000 (59.22%), best:    6032/10000 (60.32%), error:     12427.72656, best error:     12055.18457 on epoch:    33, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 639.2390747070s, input_fired_time: 5.7673025131, output_fired_time: 3.7768599987, propagate_forward_time: 177.9676971436, propagate_backward_time: 445.4842529297, weight_update_time: 0.6673629880, other_time: 6.2429809570
epoch time: 37.1901779175s, input_fired_time: 0.6154432297, output_fired_time: 0.0000000000, propagate_forward_time: 35.5333709717, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0413627625
validation[          , genome  6356] predictions:    5843/  10000 (58.43%), best:    6032/10000 (60.32%), error:     12833.24512, best error:     12055.18457 on epoch:    33, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 640.3094482422s, input_fired_time: 5.7978081703, output_fired_time: 3.7909877300, propagate_forward_time: 178.2414855957, propagate_backward_time: 446.1977233887, weight_update_time: 0.6672608852, other_time: 6.2814331055
epoch time: 37.1974868774s, input_fired_time: 0.6084791422, output_fired_time: 0.0000000000, propagate_forward_time: 35.5483665466, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0406417847
validation[          , genome  6356] predictions:    5936/  10000 (59.36%), best:    6032/10000 (60.32%), error:     12549.77246, best error:     12055.18457 on epoch:    33, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 638.7763061523s, input_fired_time: 5.7786002159, output_fired_time: 3.7749702930, propagate_forward_time: 177.7671051025, propagate_backward_time: 445.1779785156, weight_update_time: 0.6654494405, other_time: 6.2776489258
epoch time: 37.2439651489s, input_fired_time: 0.6259617209, output_fired_time: 0.0000000000, propagate_forward_time: 35.5729103088, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0450935364
validation[          , genome  6356] predictions:    5969/  10000 (59.69%), best:    6032/10000 (60.32%), error:     12352.17480, best error:     12055.18457 on epoch:    33, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 638.9010009766s, input_fired_time: 5.7927365303, output_fired_time: 3.7755901814, propagate_forward_time: 177.9167480469, propagate_backward_time: 445.1327514648, weight_update_time: 0.6695428491, other_time: 6.2832031250
epoch time: 37.2224769592s, input_fired_time: 0.6176227331, output_fired_time: 0.0000000000, propagate_forward_time: 35.5620002747, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0428543091
validation[          , genome  6356] predictions:    6016/  10000 (60.16%), best:    6032/10000 (60.32%), error:     12277.25293, best error:     12055.18457 on epoch:    33, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 640.0626220703s, input_fired_time: 5.7882838249, output_fired_time: 3.7769300938, propagate_forward_time: 178.1329193115, propagate_backward_time: 446.0210876465, weight_update_time: 0.6698213220, other_time: 6.3434143066
epoch time: 37.2029075623s, input_fired_time: 0.6309332252, output_fired_time: 0.0000000000, propagate_forward_time: 35.5295867920, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0423889160
validation[          , genome  6356] predictions:    6097/  10000 (60.97%), best:    6097/10000 (60.97%), error:     12014.75781, best error:     12014.75781 on epoch:    44, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 639.0112915039s, input_fired_time: 5.7992148399, output_fired_time: 3.7746033669, propagate_forward_time: 177.8739166260, propagate_backward_time: 445.3010253906, weight_update_time: 0.6665355563, other_time: 6.2625732422
epoch time: 37.2035102844s, input_fired_time: 0.6230194569, output_fired_time: 0.0000000000, propagate_forward_time: 35.5391235352, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0413665771
validation[          , genome  6356] predictions:    5940/  10000 (59.40%), best:    6097/10000 (60.97%), error:     12296.88574, best error:     12014.75781 on epoch:    44, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 638.7186279297s, input_fired_time: 5.7949280739, output_fired_time: 3.7707545757, propagate_forward_time: 177.8384552002, propagate_backward_time: 445.0230102539, weight_update_time: 0.6670898199, other_time: 6.2915039063
epoch time: 37.2094459534s, input_fired_time: 0.6278352141, output_fired_time: 0.0000000000, propagate_forward_time: 35.5407447815, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0408668518
validation[          , genome  6356] predictions:    5924/  10000 (59.24%), best:    6097/10000 (60.97%), error:     12600.92285, best error:     12014.75781 on epoch:    44, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 638.7299804688s, input_fired_time: 5.8110938072, output_fired_time: 3.7708842754, propagate_forward_time: 177.8349609375, propagate_backward_time: 445.0532531738, weight_update_time: 0.6686650515, other_time: 6.2597961426
epoch time: 37.2277336121s, input_fired_time: 0.6208918691, output_fired_time: 0.0000000000, propagate_forward_time: 35.5611572266, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0456848145
validation[          , genome  6356] predictions:    5897/  10000 (58.97%), best:    6097/10000 (60.97%), error:     12511.20020, best error:     12014.75781 on epoch:    44, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 638.7451171875s, input_fired_time: 5.8187856674, output_fired_time: 3.7728011608, propagate_forward_time: 177.9299621582, propagate_backward_time: 444.9949951172, weight_update_time: 0.6683824658, other_time: 6.2285461426
epoch time: 37.2096138000s, input_fired_time: 0.6291542053, output_fired_time: 0.0000000000, propagate_forward_time: 35.5358924866, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0445671082
validation[          , genome  6356] predictions:    5997/  10000 (59.97%), best:    6097/10000 (60.97%), error:     12023.55859, best error:     12014.75781 on epoch:    44, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 639.2154541016s, input_fired_time: 5.8261713982, output_fired_time: 3.7787337303, propagate_forward_time: 177.9866027832, propagate_backward_time: 445.3706359863, weight_update_time: 0.6712691784, other_time: 6.2532958984
epoch time: 37.2456817627s, input_fired_time: 0.6302571893, output_fired_time: 0.0000000000, propagate_forward_time: 35.5703086853, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0451164246
validation[          , genome  6356] predictions:    5966/  10000 (59.66%), best:    6097/10000 (60.97%), error:     12463.29688, best error:     12014.75781 on epoch:    44, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 638.6489257813s, input_fired_time: 5.8168940544, output_fired_time: 3.7735664845, propagate_forward_time: 177.7852172852, propagate_backward_time: 445.0193481445, weight_update_time: 0.6686358452, other_time: 6.2539062500
epoch time: 37.2829017639s, input_fired_time: 0.6358306408, output_fired_time: 0.0000000000, propagate_forward_time: 35.6028099060, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0442619324
validation[          , genome  6356] predictions:    5996/  10000 (59.96%), best:    6097/10000 (60.97%), error:     12109.44434, best error:     12014.75781 on epoch:    44, epoch:   50/50, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 185.8545532227s, input_fired_time: 3.1558558941, output_fired_time: 0.0000000000, propagate_forward_time: 177.7094573975, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9892425537
best training[          , genome  6356] predictions:   35732/  50000 (71.46%), best:    6097/10000 (60.97%), error:     41423.41797, best error:     12014.75781 on epoch:    44, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 37.2604255676s, input_fired_time: 0.6309068799, output_fired_time: 0.0000000000, propagate_forward_time: 35.5922241211, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0372962952
   testing[          , genome  6356] predictions:    6097/  10000 (60.97%), best:    6097/10000 (60.97%), error:     12014.75781, best error:     12014.75781 on epoch:    44, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
01:51:58 (8220): called boinc_finish(0)

</stderr_txt>
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