Nameexact_genome_1542031203_167_5600_2
Workunit4081833
Created12 Nov 2018, 19:46:29 UTC
Sent12 Nov 2018, 19:52:09 UTC
Report deadline15 Dec 2018, 5:29:07 UTC
Received10 Dec 2018, 5:45:43 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64195
Run time13 hours 5 min 17 sec
CPU time13 hours 5 min 4 sec
Validate stateValid
Credit8,100.17
Device peak FLOPS3.83 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size529.30 MB
Peak swap size548.99 MB
Peak disk usage13.29 MB

Stderr output

<core_client_version>7.12.1</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'
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_1542031203_167_5600.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_167_5600_2_r63130753_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542031203_167_5600.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: 5600
read normal distribution: '0 1.60014748573303 2.1591157913208'
generator_str: '318885806'
read generator: 318885806
read generated_by_map:
1 split_node 1
reading 106 nodes.
reading 472 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: 1542042177
post shuffle 1: 531827540
epoch time: 2077.17602539063s, input_fired_time: 11.7258472442627, output_fired_time: 10.9423084259033, propagate_forward_time: 788.475891113281, propagate_backward_time: 1250.69299316406, weight_update_time: 1.5203982591629, other_time: 15.3389892578125
epoch time: 152.299118041992s, input_fired_time: 1.36725652217865, output_fired_time: 0, propagate_forward_time: 148.305068969727, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.62678527832031
validation[          , genome  5600] predictions:    5071/  10000 (50.71%), best:    5071/10000 (50.71%), error:     17113.25195, best error:     17113.25195 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1961.8873291016s, input_fired_time: 11.2019119263, output_fired_time: 10.3345336914, propagate_forward_time: 739.3563232422, propagate_backward_time: 1186.3383789063, weight_update_time: 1.4539961815, other_time: 14.6561279297
epoch time: 147.1379394531s, input_fired_time: 1.3148584366, output_fired_time: 0.0000000000, propagate_forward_time: 143.2630157471, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5600585938
validation[          , genome  5600] predictions:    4840/  10000 (48.40%), best:    5071/10000 (50.71%), error:     17138.97852, best error:     17113.25195 on epoch:     0, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1926.4615478516s, input_fired_time: 11.0413885117, output_fired_time: 10.2304353714, propagate_forward_time: 722.2541503906, propagate_backward_time: 1168.5406494141, weight_update_time: 1.4327932596, other_time: 14.3948974609
epoch time: 148.9690093994s, input_fired_time: 1.3419455290, output_fired_time: 0.0000000000, propagate_forward_time: 145.1343688965, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4926910400
validation[          , genome  5600] predictions:    5305/  10000 (53.05%), best:    5305/10000 (53.05%), error:     15139.17383, best error:     15139.17383 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1939.2713623047s, input_fired_time: 11.0738201141, output_fired_time: 10.3006610870, propagate_forward_time: 730.5078125000, propagate_backward_time: 1172.8355712891, weight_update_time: 1.4410862923, other_time: 14.5534667969
epoch time: 144.5963897705s, input_fired_time: 1.2920312881, output_fired_time: 0.0000000000, propagate_forward_time: 140.7622833252, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5420684814
validation[          , genome  5600] predictions:    4693/  10000 (46.93%), best:    5305/10000 (53.05%), error:     18314.43555, best error:     15139.17383 on epoch:     2, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1860.4222412109s, input_fired_time: 10.8237047195, output_fired_time: 9.8215904236, propagate_forward_time: 701.4077758789, propagate_backward_time: 1124.0706787109, weight_update_time: 1.4050973654, other_time: 14.2984619141
epoch time: 141.8221282959s, input_fired_time: 1.2361203432, output_fired_time: 0.0000000000, propagate_forward_time: 138.1237335205, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4622802734
validation[          , genome  5600] predictions:    5016/  10000 (50.16%), best:    5305/10000 (53.05%), error:     16016.12207, best error:     15139.17383 on epoch:     2, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1867.7668457031s, input_fired_time: 10.8116884232, output_fired_time: 9.9066553116, propagate_forward_time: 702.0603027344, propagate_backward_time: 1130.6676025391, weight_update_time: 1.4097912312, other_time: 14.3206787109
epoch time: 139.1262359619s, input_fired_time: 1.2642368078, output_fired_time: 0.0000000000, propagate_forward_time: 135.3872070313, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4747924805
validation[          , genome  5600] predictions:    5123/  10000 (51.23%), best:    5305/10000 (53.05%), error:     15170.51074, best error:     15139.17383 on epoch:     2, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1913.3988037109s, input_fired_time: 10.9836845398, output_fired_time: 10.1560745239, propagate_forward_time: 721.7824707031, propagate_backward_time: 1155.9639892578, weight_update_time: 1.4390568733, other_time: 14.5125732422
epoch time: 151.4744567871s, input_fired_time: 1.2867197990, output_fired_time: 0.0000000000, propagate_forward_time: 147.6352081299, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5525360107
validation[          , genome  5600] predictions:    4974/  10000 (49.74%), best:    5305/10000 (53.05%), error:     15663.09375, best error:     15139.17383 on epoch:     2, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1973.9143066406s, input_fired_time: 11.2114505768, output_fired_time: 10.5065622330, propagate_forward_time: 741.9780883789, propagate_backward_time: 1195.3856201172, weight_update_time: 1.4586807489, other_time: 14.8326416016
epoch time: 150.2089996338s, input_fired_time: 1.3309270144, output_fired_time: 0.0000000000, propagate_forward_time: 146.3752136230, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5028533936
validation[          , genome  5600] predictions:    4958/  10000 (49.58%), best:    5305/10000 (53.05%), error:     16535.47266, best error:     15139.17383 on epoch:     2, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1931.2656250000s, input_fired_time: 11.0380983353, output_fired_time: 10.2511186600, propagate_forward_time: 725.4519042969, propagate_backward_time: 1170.1246337891, weight_update_time: 1.4406913519, other_time: 14.3999023438
epoch time: 144.1956634521s, input_fired_time: 1.3034160137, output_fired_time: 0.0000000000, propagate_forward_time: 140.3811645508, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5110778809
validation[          , genome  5600] predictions:    5454/  10000 (54.54%), best:    5454/10000 (54.54%), error:     14037.41016, best error:     14037.41016 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

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_1542031203_167_5600.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_167_5600_2_r63130753_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: 0.681178
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00787812
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000315125
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: 9
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 8
read number_validation_images: 10000
read best_validation_predictions: 5454
read best_validation_error: 14037.4
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 5600
read normal distribution: '0 1.60014748573303 2.1591157913208'
generator_str: '1797147486'
read generator: 1797147486
read generated_by_map:
1 split_node 1
reading 106 nodes.
reading 472 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: 2005.42834472656s, input_fired_time: 18.8443622589111, output_fired_time: 15.614049911499, propagate_forward_time: 729.705383300781, propagate_backward_time: 1200.53198242188, weight_update_time: 2.56179141998291, other_time: 40.732666015625
epoch time: 161.816101074219s, input_fired_time: 2.73728179931641, output_fired_time: 0, propagate_forward_time: 150.658569335938, propagate_backward_time: 0, weight_update_time: 0, other_time: 8.42025756835938
validation[          , genome  5600] predictions:    4794/  10000 (47.94%), best:    5454/10000 (54.54%), error:     17999.31250, best error:     14037.41016 on epoch:     8, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 2065.6809082031s, input_fired_time: 19.4335689545, output_fired_time: 16.0267009735, propagate_forward_time: 753.3503417969, propagate_backward_time: 1234.1127929688, weight_update_time: 2.6448028088, other_time: 42.7574462891
epoch time: 168.1004791260s, input_fired_time: 2.8823053837, output_fired_time: 0.0000000000, propagate_forward_time: 156.7298126221, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.4883575439
validation[          , genome  5600] predictions:    4754/  10000 (47.54%), best:    5454/10000 (54.54%), error:     16476.81445, best error:     14037.41016 on epoch:     8, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 2002.8343505859s, input_fired_time: 15.5884771347, output_fired_time: 13.2790575027, propagate_forward_time: 738.6787109375, propagate_backward_time: 1202.6672363281, weight_update_time: 2.1497721672, other_time: 32.6208496094
epoch time: 133.2825927734s, input_fired_time: 1.3381088972, output_fired_time: 0.0000000000, propagate_forward_time: 128.7962951660, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1481933594
validation[          , genome  5600] predictions:    5061/  10000 (50.61%), best:    5454/10000 (54.54%), error:     15337.40039, best error:     14037.41016 on epoch:     8, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1917.1326904297s, input_fired_time: 12.7659807205, output_fired_time: 11.3279886246, propagate_forward_time: 709.6813964844, propagate_backward_time: 1159.4642333984, weight_update_time: 1.7471201420, other_time: 23.8930664063
epoch time: 136.5632934570s, input_fired_time: 1.3979698420, output_fired_time: 0.0000000000, propagate_forward_time: 132.0481414795, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1171875000
validation[          , genome  5600] predictions:    5463/  10000 (54.63%), best:    5463/10000 (54.63%), error:     13909.98926, best error:     13909.98926 on epoch:    12, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1679.2552490234s, input_fired_time: 11.2790040970, output_fired_time: 9.7283000946, propagate_forward_time: 618.6030273438, propagate_backward_time: 1020.9932250977, weight_update_time: 1.5027285814, other_time: 18.6516723633
epoch time: 95.8016586304s, input_fired_time: 0.9906099439, output_fired_time: 0.0000000000, propagate_forward_time: 92.7658386230, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0452117920
validation[          , genome  5600] predictions:    5302/  10000 (53.02%), best:    5463/10000 (54.63%), error:     14609.35938, best error:     13909.98926 on epoch:    12, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1289.2895507813s, input_fired_time: 9.0092258453, output_fired_time: 7.2691869736, propagate_forward_time: 464.7632446289, propagate_backward_time: 796.6077270508, weight_update_time: 1.1377749443, other_time: 11.6401367188
epoch time: 91.8386764526s, input_fired_time: 0.9212489128, output_fired_time: 0.0000000000, propagate_forward_time: 88.9020309448, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0153961182
validation[          , genome  5600] predictions:    4868/  10000 (48.68%), best:    5463/10000 (54.63%), error:     16502.03125, best error:     13909.98926 on epoch:    12, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1270.5037841797s, input_fired_time: 8.9441823959, output_fired_time: 7.2144494057, propagate_forward_time: 457.0278625488, propagate_backward_time: 785.6939086914, weight_update_time: 1.1316190958, other_time: 11.6233520508
epoch time: 131.5446319580s, input_fired_time: 1.1884071827, output_fired_time: 0.0000000000, propagate_forward_time: 128.0312805176, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3249511719
validation[          , genome  5600] predictions:    5335/  10000 (53.35%), best:    5463/10000 (54.63%), error:     14250.46680, best error:     13909.98926 on epoch:    12, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1289.4465332031s, input_fired_time: 9.0108308792, output_fired_time: 7.2733325958, propagate_forward_time: 464.6483764648, propagate_backward_time: 796.8536987305, weight_update_time: 1.1379523277, other_time: 11.6602783203
epoch time: 105.7736740112s, input_fired_time: 1.0268640518, output_fired_time: 0.0000000000, propagate_forward_time: 102.5993957520, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1474151611
validation[          , genome  5600] predictions:    4983/  10000 (49.83%), best:    5463/10000 (54.63%), error:     16591.70703, best error:     13909.98926 on epoch:    12, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1350.6215820313s, input_fired_time: 9.2719640732, output_fired_time: 7.5527224541, propagate_forward_time: 490.7636413574, propagate_backward_time: 831.1492309570, weight_update_time: 1.1665916443, other_time: 11.8839721680
epoch time: 107.8155059814s, input_fired_time: 1.0732240677, output_fired_time: 0.0000000000, propagate_forward_time: 104.6514892578, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0907897949
validation[          , genome  5600] predictions:    5398/  10000 (53.98%), best:    5463/10000 (54.63%), error:     14029.27246, best error:     13909.98926 on epoch:    12, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1263.7993164063s, input_fired_time: 8.9653739929, output_fired_time: 7.1570916176, propagate_forward_time: 454.1461486816, propagate_backward_time: 782.0087890625, weight_update_time: 1.1231024265, other_time: 11.5219726563
epoch time: 90.2108993530s, input_fired_time: 0.9299179912, output_fired_time: 0.0000000000, propagate_forward_time: 87.2949218750, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9860610962
validation[          , genome  5600] predictions:    5010/  10000 (50.10%), best:    5463/10000 (54.63%), error:     15887.78320, best error:     13909.98926 on epoch:    12, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1322.5305175781s, input_fired_time: 9.1637678146, output_fired_time: 7.4409227371, propagate_forward_time: 478.2826843262, propagate_backward_time: 815.8248901367, weight_update_time: 1.1518642902, other_time: 11.8181762695
epoch time: 90.9460525513s, input_fired_time: 0.9317097664, output_fired_time: 0.0000000000, propagate_forward_time: 88.0149383545, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9994049072
validation[          , genome  5600] predictions:    5376/  10000 (53.76%), best:    5463/10000 (54.63%), error:     14278.26953, best error:     13909.98926 on epoch:    12, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1266.8751220703s, input_fired_time: 9.0034303665, output_fired_time: 7.1781086922, propagate_forward_time: 455.1131286621, propagate_backward_time: 784.0131225586, weight_update_time: 1.1285940409, other_time: 11.5673217773
epoch time: 100.9968338013s, input_fired_time: 1.0404200554, output_fired_time: 0.0000000000, propagate_forward_time: 97.8627777100, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0936355591
validation[          , genome  5600] predictions:    5579/  10000 (55.79%), best:    5579/10000 (55.79%), error:     13836.30957, best error:     13836.30957 on epoch:    20, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1336.8825683594s, input_fired_time: 9.2542676926, output_fired_time: 7.4942116737, propagate_forward_time: 483.9667358398, propagate_backward_time: 824.3449096680, weight_update_time: 1.1595172882, other_time: 11.8223876953
epoch time: 91.9388351440s, input_fired_time: 0.9713699222, output_fired_time: 0.0000000000, propagate_forward_time: 88.9728164673, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9946517944
validation[          , genome  5600] predictions:    5431/  10000 (54.31%), best:    5579/10000 (55.79%), error:     14139.78516, best error:     13836.30957 on epoch:    20, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1403.4046630859s, input_fired_time: 9.4869966507, output_fired_time: 7.8051953316, propagate_forward_time: 511.2605590820, propagate_backward_time: 862.7067871094, weight_update_time: 1.1901644468, other_time: 12.1452026367
epoch time: 119.0388259888s, input_fired_time: 1.1645861864, output_fired_time: 0.0000000000, propagate_forward_time: 115.6064758301, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2677612305
validation[          , genome  5600] predictions:    5438/  10000 (54.38%), best:    5438/10000 (54.38%), error:     13630.83984, best error:     13630.83984 on epoch:    22, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1433.0310058594s, input_fired_time: 9.5725126266, output_fired_time: 7.9243311882, propagate_forward_time: 524.3663330078, propagate_backward_time: 878.9220581055, weight_update_time: 1.2028360367, other_time: 12.2457885742
epoch time: 109.9803924561s, input_fired_time: 1.0958770514, output_fired_time: 0.0000000000, propagate_forward_time: 106.7774658203, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1070480347
validation[          , genome  5600] predictions:    5592/  10000 (55.92%), best:    5592/10000 (55.92%), error:     13393.43164, best error:     13393.43164 on epoch:    23, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1297.7626953125s, input_fired_time: 9.1088619232, output_fired_time: 7.3304052353, propagate_forward_time: 468.1004943848, propagate_backward_time: 801.4992065430, weight_update_time: 1.1427943707, other_time: 11.7236938477
epoch time: 98.3435058594s, input_fired_time: 1.0204666853, output_fired_time: 0.0000000000, propagate_forward_time: 95.2837066650, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0393295288
validation[          , genome  5600] predictions:    5820/  10000 (58.20%), best:    5820/10000 (58.20%), error:     12812.85742, best error:     12812.85742 on epoch:    24, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1451.3591308594s, input_fired_time: 9.6387538910, output_fired_time: 8.0224151611, propagate_forward_time: 532.4968261719, propagate_backward_time: 888.9074707031, weight_update_time: 1.2117396593, other_time: 12.2935791016
epoch time: 124.7357254028s, input_fired_time: 1.1597440243, output_fired_time: 0.0000000000, propagate_forward_time: 121.3833618164, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1926193237
validation[          , genome  5600] predictions:    5558/  10000 (55.58%), best:    5820/10000 (58.20%), error:     13474.67871, best error:     12812.85742 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: 596.9893188477s, input_fired_time: 5.7509298325, output_fired_time: 0.0000000000, propagate_forward_time: 580.2767944336, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.9616088867
best training[          , genome  5600] predictions:   32643/  50000 (65.29%), best:    5820/10000 (58.20%), error:     50384.91016, best error:     12812.85742 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: 100.0954818726s, input_fired_time: 1.0252934694, output_fired_time: 0.0000000000, propagate_forward_time: 97.0357208252, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0344696045
   testing[          , genome  5600] predictions:    5820/  10000 (58.20%), best:    5820/10000 (58.20%), error:     12812.85742, best error:     12812.85742 on epoch:    24, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
05:45:01 (4680): called boinc_finish(0)

</stderr_txt>
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