Nameexact_genome_1541847006_176_5462_0
Workunit4078356
Created10 Nov 2018, 13:24:20 UTC
Sent10 Nov 2018, 13:24:21 UTC
Report deadline22 Dec 2018, 0:39:37 UTC
Received17 Dec 2018, 1:08:06 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID56670
Run time23 hours 25 min 47 sec
CPU time18 hours 19 min 40 sec
Validate stateValid
Credit10,367.24
Device peak FLOPS3.25 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size518.21 MB
Peak swap size539.81 MB
Peak disk usage10.11 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1541847006_176_5462.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1541847006_176_5462_0_r766328992_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1541847006_176_5462.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: 5462
read normal distribution: '1 0 0'
generator_str: '1043284771'
read generator: 1043284771
read generated_by_map:
1 enable_node 1
reading 83 nodes.
reading 309 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: 283168442
post shuffle 1: 816830727
epoch time: 1414.16015625s, input_fired_time: 10.2183198928833, output_fired_time: 7.87117147445679, propagate_forward_time: 509.673553466797, propagate_backward_time: 871.259704589844, weight_update_time: 2.91760277748108, other_time: 15.1373901367188
epoch time: 119.09058380127s, input_fired_time: 1.4359564781189, output_fired_time: 0, propagate_forward_time: 114.576766967773, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.07785797119141
validation[          , genome  5462] predictions:    5021/  10000 (50.21%), best:    5021/10000 (50.21%), error:     16480.44922, best error:     16480.44922 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1616.3317871094s, input_fired_time: 11.5513715744, output_fired_time: 9.3251857758, propagate_forward_time: 583.4699096680, propagate_backward_time: 994.1896362305, weight_update_time: 3.5362615585, other_time: 17.7956542969
epoch time: 110.4312286377s, input_fired_time: 1.2476809025, output_fired_time: 0.0000000000, propagate_forward_time: 106.8461380005, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3374099731
validation[          , genome  5462] predictions:    4896/  10000 (48.96%), best:    5021/10000 (50.21%), error:     17073.05273, best error:     16480.44922 on epoch:     0, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1453.9536132813s, input_fired_time: 10.0028219223, output_fired_time: 8.0848627090, propagate_forward_time: 536.6055297852, propagate_backward_time: 883.1278686523, weight_update_time: 3.2905607224, other_time: 16.1325683594
epoch time: 110.5973739624s, input_fired_time: 1.1994352341, output_fired_time: 0.0000000000, propagate_forward_time: 106.9319915771, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4659500122
validation[          , genome  5462] predictions:    4959/  10000 (49.59%), best:    4959/10000 (49.59%), error:     15888.34082, best error:     15888.34082 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

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_1541847006_176_5462.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1541847006_176_5462_0_r766328992_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: 0.569886
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0107172
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000428687
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: 3
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 2
read number_validation_images: 10000
read best_validation_predictions: 4959
read best_validation_error: 15888.3
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: 5462
read normal distribution: '1 0 0'
generator_str: '762472805'
read generator: 762472805
read generated_by_map:
1 enable_node 1
reading 83 nodes.
reading 309 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: 1646.29455566406s, input_fired_time: 11.5704345703125, output_fired_time: 8.99908065795898, propagate_forward_time: 607.571472167969, propagate_backward_time: 999.834045410156, weight_update_time: 3.98596835136414, other_time: 18.319580078125
epoch time: 123.407043457031s, input_fired_time: 1.37705087661743, output_fired_time: 0, propagate_forward_time: 119.131195068359, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.89879608154297
validation[          , genome  5462] predictions:    4988/  10000 (49.88%), best:    4959/10000 (49.59%), error:     16023.46289, best error:     15888.34082 on epoch:     2, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1522.8535156250s, input_fired_time: 10.4688892365, output_fired_time: 8.5541830063, propagate_forward_time: 568.3088989258, propagate_backward_time: 918.1914672852, weight_update_time: 3.6881144047, other_time: 17.3300781250
epoch time: 104.7857513428s, input_fired_time: 1.0738239288, output_fired_time: 0.0000000000, propagate_forward_time: 101.5006790161, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2112503052
validation[          , genome  5462] predictions:    4659/  10000 (46.59%), best:    4959/10000 (49.59%), error:     18268.71289, best error:     15888.34082 on epoch:     2, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1282.9725341797s, input_fired_time: 8.9316301346, output_fired_time: 6.8804116249, propagate_forward_time: 485.2829895020, propagate_backward_time: 767.8393554688, weight_update_time: 3.1460382938, other_time: 14.0382080078
epoch time: 95.4830017090s, input_fired_time: 1.0144450665, output_fired_time: 0.0000000000, propagate_forward_time: 92.5085754395, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9599838257
validation[          , genome  5462] predictions:    5094/  10000 (50.94%), best:    5094/10000 (50.94%), error:     15553.96973, best error:     15553.96973 on epoch:     5, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1312.7871093750s, input_fired_time: 8.9315128326, output_fired_time: 7.2090778351, propagate_forward_time: 496.0722961426, propagate_backward_time: 786.4398193359, weight_update_time: 3.2348053455, other_time: 14.1343994141
epoch time: 119.8548431396s, input_fired_time: 1.3769133091, output_fired_time: 0.0000000000, propagate_forward_time: 115.9320831299, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5458450317
validation[          , genome  5462] predictions:    4833/  10000 (48.33%), best:    5094/10000 (50.94%), error:     16063.06250, best error:     15553.96973 on epoch:     5, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1546.5729980469s, input_fired_time: 10.8440790176, output_fired_time: 8.4650888443, propagate_forward_time: 575.1123046875, propagate_backward_time: 934.4819946289, weight_update_time: 3.8842415810, other_time: 17.6694946289
epoch time: 119.6138916016s, input_fired_time: 1.4173831940, output_fired_time: 0.0000000000, propagate_forward_time: 115.4284896851, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7680206299
validation[          , genome  5462] predictions:    5088/  10000 (50.88%), best:    5088/10000 (50.88%), error:     15122.70703, best error:     15122.70703 on epoch:     7, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1594.6258544922s, input_fired_time: 10.9729471207, output_fired_time: 8.9464368820, propagate_forward_time: 592.8626708984, propagate_backward_time: 964.0091552734, weight_update_time: 3.7905395031, other_time: 17.8347167969
epoch time: 122.5128631592s, input_fired_time: 1.3476690054, output_fired_time: 0.0000000000, propagate_forward_time: 118.4472045898, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7179870605
validation[          , genome  5462] predictions:    5089/  10000 (50.89%), best:    5089/10000 (50.89%), error:     15049.11035, best error:     15049.11035 on epoch:     8, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1540.9888916016s, input_fired_time: 10.5477056503, output_fired_time: 8.7051010132, propagate_forward_time: 572.8802490234, propagate_backward_time: 931.4666748047, weight_update_time: 3.8629689217, other_time: 17.3891601563
epoch time: 120.0373077393s, input_fired_time: 1.2659804821, output_fired_time: 0.0000000000, propagate_forward_time: 116.1694107056, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6019134521
validation[          , genome  5462] predictions:    4759/  10000 (47.59%), best:    5089/10000 (50.89%), error:     16874.57617, best error:     15049.11035 on epoch:     8, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1369.4060058594s, input_fired_time: 9.1773996353, output_fired_time: 7.6065034866, propagate_forward_time: 514.1976928711, propagate_backward_time: 823.5322265625, weight_update_time: 3.3590545654, other_time: 14.8922729492
epoch time: 107.7049636841s, input_fired_time: 1.2202175856, output_fired_time: 0.0000000000, propagate_forward_time: 104.1881637573, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2965850830
validation[          , genome  5462] predictions:    5148/  10000 (51.48%), best:    5148/10000 (51.48%), error:     15015.33789, best error:     15015.33789 on epoch:    10, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1265.9842529297s, input_fired_time: 8.5982561111, output_fired_time: 6.8252401352, propagate_forward_time: 479.6577148438, propagate_backward_time: 757.6297607422, weight_update_time: 3.0761513710, other_time: 13.2733154297
epoch time: 100.5667114258s, input_fired_time: 1.0793713331, output_fired_time: 0.0000000000, propagate_forward_time: 97.3743896484, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1129531860
validation[          , genome  5462] predictions:    5150/  10000 (51.50%), best:    5150/10000 (51.50%), error:     14707.29688, best error:     14707.29688 on epoch:    11, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1294.2772216797s, input_fired_time: 8.6909685135, output_fired_time: 7.0321350098, propagate_forward_time: 490.1059265137, propagate_backward_time: 774.6391601563, weight_update_time: 3.2185797691, other_time: 13.8090820313
epoch time: 104.3981399536s, input_fired_time: 1.2317230701, output_fired_time: 0.0000000000, propagate_forward_time: 100.8860015869, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2804183960
validation[          , genome  5462] predictions:    5310/  10000 (53.10%), best:    5310/10000 (53.10%), error:     14669.15234, best error:     14669.15234 on epoch:    12, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1513.2611083984s, input_fired_time: 10.9045829773, output_fired_time: 8.3823480606, propagate_forward_time: 564.3543090820, propagate_backward_time: 912.6772460938, weight_update_time: 3.6360423565, other_time: 16.9426879883
epoch time: 101.0582504272s, input_fired_time: 1.0579792261, output_fired_time: 0.0000000000, propagate_forward_time: 97.9327621460, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0675125122
validation[          , genome  5462] predictions:    5014/  10000 (50.14%), best:    5310/10000 (53.10%), error:     14971.66504, best error:     14669.15234 on epoch:    12, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1507.8483886719s, input_fired_time: 10.3073244095, output_fired_time: 8.6736202240, propagate_forward_time: 564.0972290039, propagate_backward_time: 908.3829956055, weight_update_time: 3.5662283897, other_time: 16.3872070313
epoch time: 122.8490676880s, input_fired_time: 1.3358976841, output_fired_time: 0.0000000000, propagate_forward_time: 118.7822265625, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7309417725
validation[          , genome  5462] predictions:    5355/  10000 (53.55%), best:    5355/10000 (53.55%), error:     14130.61426, best error:     14130.61426 on epoch:    14, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1455.7641601563s, input_fired_time: 10.0698432922, output_fired_time: 8.0590991974, propagate_forward_time: 544.2465820313, propagate_backward_time: 876.8848266602, weight_update_time: 3.6610865593, other_time: 16.5038452148
epoch time: 97.7756805420s, input_fired_time: 1.0501905680, output_fired_time: 0.0000000000, propagate_forward_time: 94.6166152954, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1088714600
validation[          , genome  5462] predictions:    5044/  10000 (50.44%), best:    5355/10000 (53.55%), error:     15326.64063, best error:     14130.61426 on epoch:    14, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1439.5579833984s, input_fired_time: 9.8032064438, output_fired_time: 8.0763740540, propagate_forward_time: 537.5430297852, propagate_backward_time: 867.7822265625, weight_update_time: 3.4706201553, other_time: 16.3530883789
epoch time: 101.3823547363s, input_fired_time: 1.1433463097, output_fired_time: 0.0000000000, propagate_forward_time: 98.0614624023, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1775436401
validation[          , genome  5462] predictions:    5333/  10000 (53.33%), best:    5355/10000 (53.55%), error:     14215.87012, best error:     14130.61426 on epoch:    14, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1361.1340332031s, input_fired_time: 9.1860742569, output_fired_time: 7.4615302086, propagate_forward_time: 510.8859252930, propagate_backward_time: 818.7899169922, weight_update_time: 3.3350868225, other_time: 14.8106079102
epoch time: 119.3812026978s, input_fired_time: 1.4012356997, output_fired_time: 0.0000000000, propagate_forward_time: 115.0278472900, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9521179199
validation[          , genome  5462] predictions:    5161/  10000 (51.61%), best:    5355/10000 (53.55%), error:     14904.16992, best error:     14130.61426 on epoch:    14, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1369.9995117188s, input_fired_time: 9.3635625839, output_fired_time: 7.3951411247, propagate_forward_time: 515.4846191406, propagate_backward_time: 823.2199096680, weight_update_time: 3.5565283298, other_time: 14.5363159180
epoch time: 97.8362808228s, input_fired_time: 1.0693275928, output_fired_time: 0.0000000000, propagate_forward_time: 94.7769317627, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9900207520
validation[          , genome  5462] predictions:    5344/  10000 (53.44%), best:    5355/10000 (53.55%), error:     14431.32520, best error:     14130.61426 on epoch:    14, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1499.5955810547s, input_fired_time: 10.5399160385, output_fired_time: 8.1703500748, propagate_forward_time: 560.6787719727, propagate_backward_time: 903.7768554688, weight_update_time: 3.7003514767, other_time: 16.4296264648
epoch time: 102.0874328613s, input_fired_time: 1.1294786930, output_fired_time: 0.0000000000, propagate_forward_time: 98.8968048096, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0611495972
validation[          , genome  5462] predictions:    5184/  10000 (51.84%), best:    5355/10000 (53.55%), error:     14914.74219, best error:     14130.61426 on epoch:    14, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1486.5231933594s, input_fired_time: 10.1931915283, output_fired_time: 8.2177772522, propagate_forward_time: 554.7504272461, propagate_backward_time: 896.8380737305, weight_update_time: 3.4907045364, other_time: 16.5236816406
epoch time: 120.5380249023s, input_fired_time: 1.3660954237, output_fired_time: 0.0000000000, propagate_forward_time: 116.4293899536, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7425384521
validation[          , genome  5462] predictions:    5314/  10000 (53.14%), best:    5314/10000 (53.14%), error:     13941.63379, best error:     13941.63379 on epoch:    20, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1455.6398925781s, input_fired_time: 10.1479043961, output_fired_time: 7.8810777664, propagate_forward_time: 544.3648681641, propagate_backward_time: 876.8298950195, weight_update_time: 3.6196892262, other_time: 16.4160766602
epoch time: 105.3872680664s, input_fired_time: 1.2157607079, output_fired_time: 0.0000000000, propagate_forward_time: 101.9551086426, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2164001465
validation[          , genome  5462] predictions:    5290/  10000 (52.90%), best:    5314/10000 (53.14%), error:     14367.29199, best error:     13941.63379 on epoch:    20, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1493.4224853516s, input_fired_time: 10.4212875366, output_fired_time: 8.2580375671, propagate_forward_time: 555.8515014648, propagate_backward_time: 901.9256591797, weight_update_time: 3.6589701176, other_time: 16.9660034180
epoch time: 119.7921752930s, input_fired_time: 1.3625510931, output_fired_time: 0.0000000000, propagate_forward_time: 115.7872695923, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6423568726
validation[          , genome  5462] predictions:    5499/  10000 (54.99%), best:    5499/10000 (54.99%), error:     13909.14746, best error:     13909.14746 on epoch:    22, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1584.6291503906s, input_fired_time: 11.3350553513, output_fired_time: 9.1327877045, propagate_forward_time: 588.5043945313, propagate_backward_time: 958.3427734375, weight_update_time: 3.9735431671, other_time: 17.3140869141
epoch time: 122.3067932129s, input_fired_time: 1.3058400154, output_fired_time: 0.0000000000, propagate_forward_time: 118.2162399292, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7847137451
validation[          , genome  5462] predictions:    5283/  10000 (52.83%), best:    5499/10000 (54.99%), error:     14875.34863, best error:     13909.14746 on epoch:    22, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1373.0024414063s, input_fired_time: 9.1235780716, output_fired_time: 7.3057217598, propagate_forward_time: 517.1303710938, propagate_backward_time: 824.8673095703, weight_update_time: 3.3437912464, other_time: 14.5755615234
epoch time: 122.8629989624s, input_fired_time: 1.3835921288, output_fired_time: 0.0000000000, propagate_forward_time: 118.7443923950, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7350158691
validation[          , genome  5462] predictions:    5459/  10000 (54.59%), best:    5459/10000 (54.59%), error:     13871.81445, best error:     13871.81445 on epoch:    24, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1459.2896728516s, input_fired_time: 10.0268287659, output_fired_time: 8.0047492981, propagate_forward_time: 545.8846435547, propagate_backward_time: 879.2973022461, weight_update_time: 3.5317254066, other_time: 16.0761108398
epoch time: 115.0914230347s, input_fired_time: 1.2470139265, output_fired_time: 0.0000000000, propagate_forward_time: 111.4007034302, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4437026978
validation[          , genome  5462] predictions:    5495/  10000 (54.95%), best:    5495/10000 (54.95%), error:     13190.63281, best error:     13190.63281 on epoch:    25, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 1281.8201904297s, input_fired_time: 9.0181350708, output_fired_time: 7.0745577812, propagate_forward_time: 482.4470825195, propagate_backward_time: 769.3049926758, weight_update_time: 3.1603887081, other_time: 13.9753417969
epoch time: 117.9970932007s, input_fired_time: 1.2343546152, output_fired_time: 0.0000000000, propagate_forward_time: 114.1052780151, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6574630737
validation[          , genome  5462] predictions:    5478/  10000 (54.78%), best:    5495/10000 (54.95%), error:     13661.23828, best error:     13190.63281 on epoch:    25, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 1474.6752929688s, input_fired_time: 10.2911367416, output_fired_time: 7.9603061676, propagate_forward_time: 551.2956542969, propagate_backward_time: 888.7387695313, weight_update_time: 3.6585266590, other_time: 16.3894042969
epoch time: 96.5433731079s, input_fired_time: 1.0558928251, output_fired_time: 0.0000000000, propagate_forward_time: 93.5376510620, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9498291016
validation[          , genome  5462] predictions:    5442/  10000 (54.42%), best:    5495/10000 (54.95%), error:     13826.52734, best error:     13190.63281 on epoch:    25, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 1461.7122802734s, input_fired_time: 10.2764253616, output_fired_time: 8.3617219925, propagate_forward_time: 546.0309448242, propagate_backward_time: 880.9308471680, weight_update_time: 3.5318949223, other_time: 16.1124267578
epoch time: 96.5368194580s, input_fired_time: 1.0757814646, output_fired_time: 0.0000000000, propagate_forward_time: 93.4864959717, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9745407104
validation[          , genome  5462] predictions:    5508/  10000 (55.08%), best:    5495/10000 (54.95%), error:     13621.85352, best error:     13190.63281 on epoch:    25, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 1365.9084472656s, input_fired_time: 9.4579143524, output_fired_time: 7.5665726662, propagate_forward_time: 512.6475830078, propagate_backward_time: 821.5809326172, weight_update_time: 3.3654837608, other_time: 14.6555175781
epoch time: 121.0237197876s, input_fired_time: 1.3419715166, output_fired_time: 0.0000000000, propagate_forward_time: 117.2200088501, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4617385864
validation[          , genome  5462] predictions:    5437/  10000 (54.37%), best:    5495/10000 (54.95%), error:     13934.08398, best error:     13190.63281 on epoch:    25, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 1352.9229736328s, input_fired_time: 9.2221946716, output_fired_time: 7.2813987732, propagate_forward_time: 510.0811767578, propagate_backward_time: 811.9594726563, weight_update_time: 3.2623264790, other_time: 14.3787841797
epoch time: 103.6798248291s, input_fired_time: 1.1920920610, output_fired_time: 0.0000000000, propagate_forward_time: 100.3292007446, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1585311890
validation[          , genome  5462] predictions:    5448/  10000 (54.48%), best:    5495/10000 (54.95%), error:     13790.71191, best error:     13190.63281 on epoch:    25, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 1354.8447265625s, input_fired_time: 9.6257715225, output_fired_time: 7.2165522575, propagate_forward_time: 508.5984497070, propagate_backward_time: 814.3499145508, weight_update_time: 3.4686670303, other_time: 15.0540771484
epoch time: 120.5520858765s, input_fired_time: 1.3276920319, output_fired_time: 0.0000000000, propagate_forward_time: 116.5952682495, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6291275024
validation[          , genome  5462] predictions:    5537/  10000 (55.37%), best:    5495/10000 (54.95%), error:     13617.55762, best error:     13190.63281 on epoch:    25, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1343.5705566406s, input_fired_time: 9.5449733734, output_fired_time: 7.4859604836, propagate_forward_time: 503.9791870117, propagate_backward_time: 807.9450073242, weight_update_time: 3.2658352852, other_time: 14.6154785156
epoch time: 97.4081420898s, input_fired_time: 1.1035193205, output_fired_time: 0.0000000000, propagate_forward_time: 94.2602996826, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0443267822
validation[          , genome  5462] predictions:    5418/  10000 (54.18%), best:    5495/10000 (54.95%), error:     14259.11035, best error:     13190.63281 on epoch:    25, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1465.3826904297s, input_fired_time: 10.3125391006, output_fired_time: 8.3265352249, propagate_forward_time: 547.6464233398, propagate_backward_time: 882.9223022461, weight_update_time: 3.6088745594, other_time: 16.1749267578
epoch time: 108.5988235474s, input_fired_time: 1.2306220531, output_fired_time: 0.0000000000, propagate_forward_time: 105.0819168091, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2862854004
validation[          , genome  5462] predictions:    5492/  10000 (54.92%), best:    5495/10000 (54.95%), error:     13704.79883, best error:     13190.63281 on epoch:    25, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1314.6544189453s, input_fired_time: 9.0433073044, output_fired_time: 7.3620347977, propagate_forward_time: 495.3550415039, propagate_backward_time: 788.4219360352, weight_update_time: 3.3265063763, other_time: 14.4720458984
epoch time: 108.2952194214s, input_fired_time: 1.2561732531, output_fired_time: 0.0000000000, propagate_forward_time: 104.8087005615, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2303466797
validation[          , genome  5462] predictions:    5617/  10000 (56.17%), best:    5495/10000 (54.95%), error:     13405.84766, best error:     13190.63281 on epoch:    25, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1572.4110107422s, input_fired_time: 11.2512397766, output_fired_time: 8.6077823639, propagate_forward_time: 582.9055786133, propagate_backward_time: 951.4111328125, weight_update_time: 3.9204313755, other_time: 18.2352905273
epoch time: 120.3386993408s, input_fired_time: 1.3551179171, output_fired_time: 0.0000000000, propagate_forward_time: 116.3181381226, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6654434204
validation[          , genome  5462] predictions:    5626/  10000 (56.26%), best:    5626/10000 (56.26%), error:     13073.77344, best error:     13073.77344 on epoch:    35, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1413.7564697266s, input_fired_time: 9.5311002731, output_fired_time: 7.9539017677, propagate_forward_time: 530.6536865234, propagate_backward_time: 850.4489746094, weight_update_time: 3.3563959599, other_time: 15.1688232422
epoch time: 106.4705123901s, input_fired_time: 1.2287740707, output_fired_time: 0.0000000000, propagate_forward_time: 102.7299957275, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5117416382
validation[          , genome  5462] predictions:    5636/  10000 (56.36%), best:    5626/10000 (56.26%), error:     13371.03223, best error:     13073.77344 on epoch:    35, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 2123.0891113281s, input_fired_time: 15.9895238876, output_fired_time: 11.9236860275, propagate_forward_time: 775.4199218750, propagate_backward_time: 1293.5637207031, weight_update_time: 5.2582311630, other_time: 26.1923828125
epoch time: 209.4244537354s, input_fired_time: 2.8594808578, output_fired_time: 0.0000000000, propagate_forward_time: 200.5904235840, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.9745483398
validation[          , genome  5462] predictions:    5668/  10000 (56.68%), best:    5668/10000 (56.68%), error:     12903.65332, best error:     12903.65332 on epoch:    37, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 2767.9118652344s, input_fired_time: 21.5679340363, output_fired_time: 17.0618801117, propagate_forward_time: 1012.0782470703, propagate_backward_time: 1682.1815185547, weight_update_time: 6.9941635132, other_time: 35.0224609375
epoch time: 189.4023132324s, input_fired_time: 2.3539125919, output_fired_time: 0.0000000000, propagate_forward_time: 181.9963226318, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0520782471
validation[          , genome  5462] predictions:    5696/  10000 (56.96%), best:    5668/10000 (56.68%), error:     12960.33887, best error:     12903.65332 on epoch:    37, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 3259.1193847656s, input_fired_time: 23.9595088959, output_fired_time: 19.0075874329, propagate_forward_time: 1161.6579589844, propagate_backward_time: 2011.3200683594, weight_update_time: 7.6809282303, other_time: 43.1743164063
epoch time: 188.6963500977s, input_fired_time: 2.4035112858, output_fired_time: 0.0000000000, propagate_forward_time: 181.7037506104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5890808105
validation[          , genome  5462] predictions:    5612/  10000 (56.12%), best:    5668/10000 (56.68%), error:     13472.57910, best error:     12903.65332 on epoch:    37, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 2472.4201660156s, input_fired_time: 18.4125385284, output_fired_time: 14.1178073883, propagate_forward_time: 907.1480102539, propagate_backward_time: 1500.5755615234, weight_update_time: 6.4486112595, other_time: 32.1661376953
epoch time: 123.2618865967s, input_fired_time: 1.4794770479, output_fired_time: 0.0000000000, propagate_forward_time: 119.0330810547, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7493286133
validation[          , genome  5462] predictions:    5754/  10000 (57.54%), best:    5754/10000 (57.54%), error:     12685.89551, best error:     12685.89551 on epoch:    40, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 2018.3198242188s, input_fired_time: 14.8930597305, output_fired_time: 11.2157878876, propagate_forward_time: 747.5296020508, propagate_backward_time: 1221.1301269531, weight_update_time: 5.0862441063, other_time: 23.5512695313
epoch time: 115.5305557251s, input_fired_time: 1.2910712957, output_fired_time: 0.0000000000, propagate_forward_time: 111.6074829102, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6320037842
validation[          , genome  5462] predictions:    5707/  10000 (57.07%), best:    5754/10000 (57.54%), error:     13133.90625, best error:     12685.89551 on epoch:    40, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1956.2457275391s, input_fired_time: 14.4368181229, output_fired_time: 10.7640657425, propagate_forward_time: 722.1157226563, propagate_backward_time: 1185.8460693359, weight_update_time: 4.6129703522, other_time: 23.0831298828
epoch time: 131.9578857422s, input_fired_time: 1.6224379539, output_fired_time: 0.0000000000, propagate_forward_time: 127.0835952759, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2518539429
validation[          , genome  5462] predictions:    5650/  10000 (56.50%), best:    5754/10000 (57.54%), error:     13118.92676, best error:     12685.89551 on epoch:    40, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

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_1541847006_176_5462.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1541847006_176_5462_0_r766328992_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: 0.93601
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00137729
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 5.50915e-05
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: 43
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 40
read number_validation_images: 10000
read best_validation_predictions: 5754
read best_validation_error: 12685.9
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: 5462
read normal distribution: '1 0 0'
generator_str: '1899358180'
read generator: 1899358180
read generated_by_map:
1 enable_node 1
reading 83 nodes.
reading 309 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: 1497.58349609375s, input_fired_time: 10.7528400421143, output_fired_time: 8.20370197296143, propagate_forward_time: 558.648376464844, propagate_backward_time: 903.054626464844, weight_update_time: 3.58055353164673, other_time: 16.9239501953125
epoch time: 98.8086395263672s, input_fired_time: 1.12177562713623, output_fired_time: 0, propagate_forward_time: 95.56884765625, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.11801910400391
validation[          , genome  5462] predictions:    5615/  10000 (56.15%), best:    5754/10000 (57.54%), error:     13217.09180, best error:     12685.89551 on epoch:    40, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1265.5534667969s, input_fired_time: 8.9483480453, output_fired_time: 6.9100480080, propagate_forward_time: 475.5636901855, propagate_backward_time: 760.4324340820, weight_update_time: 3.1173038483, other_time: 13.6989135742
epoch time: 98.5900115967s, input_fired_time: 1.1529181004, output_fired_time: 0.0000000000, propagate_forward_time: 95.3636016846, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0734939575
validation[          , genome  5462] predictions:    5841/  10000 (58.41%), best:    5841/10000 (58.41%), error:     12425.71973, best error:     12425.71973 on epoch:    44, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1272.9794921875s, input_fired_time: 9.0607242584, output_fired_time: 6.9975662231, propagate_forward_time: 476.6337585449, propagate_backward_time: 766.4251098633, weight_update_time: 3.1135773659, other_time: 13.8623657227
epoch time: 99.0442733765s, input_fired_time: 1.1547715664, output_fired_time: 0.0000000000, propagate_forward_time: 95.8024902344, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0870132446
validation[          , genome  5462] predictions:    5659/  10000 (56.59%), best:    5841/10000 (58.41%), error:     13068.73242, best error:     12425.71973 on epoch:    44, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1219.5648193359s, input_fired_time: 8.7811288834, output_fired_time: 6.6621766090, propagate_forward_time: 452.3044738770, propagate_backward_time: 738.2723388672, weight_update_time: 2.9801542759, other_time: 13.5446777344
epoch time: 90.8583908081s, input_fired_time: 1.0896703005, output_fired_time: 0.0000000000, propagate_forward_time: 87.7104949951, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0582275391
validation[          , genome  5462] predictions:    5655/  10000 (56.55%), best:    5841/10000 (58.41%), error:     13468.66797, best error:     12425.71973 on epoch:    44, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1190.7457275391s, input_fired_time: 8.5858030319, output_fired_time: 6.5462207794, propagate_forward_time: 439.8802490234, propagate_backward_time: 722.6342773438, weight_update_time: 2.9575393200, other_time: 13.0991210938
epoch time: 91.1594772339s, input_fired_time: 1.0811389685, output_fired_time: 0.0000000000, propagate_forward_time: 88.1173706055, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9609680176
validation[          , genome  5462] predictions:    5714/  10000 (57.14%), best:    5841/10000 (58.41%), error:     12959.27539, best error:     12425.71973 on epoch:    44, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1188.9544677734s, input_fired_time: 8.5956430435, output_fired_time: 6.5240554810, propagate_forward_time: 439.2802734375, propagate_backward_time: 721.5308227539, weight_update_time: 2.9402263165, other_time: 13.0236206055
epoch time: 90.8922500610s, input_fired_time: 1.0832518339, output_fired_time: 0.0000000000, propagate_forward_time: 87.7466125488, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0623855591
validation[          , genome  5462] predictions:    5857/  10000 (58.57%), best:    5841/10000 (58.41%), error:     12450.99023, best error:     12425.71973 on epoch:    44, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1188.0317382813s, input_fired_time: 8.6241722107, output_fired_time: 6.5559492111, propagate_forward_time: 437.6287536621, propagate_backward_time: 721.8513793945, weight_update_time: 2.9461503029, other_time: 13.3715209961
epoch time: 90.5865936279s, input_fired_time: 1.0974442959, output_fired_time: 0.0000000000, propagate_forward_time: 87.4693756104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0197753906
validation[          , genome  5462] predictions:    5815/  10000 (58.15%), best:    5841/10000 (58.41%), error:     12533.95020, best error:     12425.71973 on epoch:    44, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1188.7429199219s, input_fired_time: 8.6022834778, output_fired_time: 6.5256652832, propagate_forward_time: 438.8234252930, propagate_backward_time: 721.6159057617, weight_update_time: 2.9392621517, other_time: 13.1756591797
epoch time: 90.8908004761s, input_fired_time: 1.0734480619, output_fired_time: 0.0000000000, propagate_forward_time: 87.7996826172, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0176696777
validation[          , genome  5462] predictions:    5793/  10000 (57.93%), best:    5841/10000 (58.41%), error:     12818.53711, best error:     12425.71973 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: 454.2806396484s, input_fired_time: 5.3747358322, output_fired_time: 0.0000000000, propagate_forward_time: 438.9139404297, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.9919738770
best training[          , genome  5462] predictions:   34459/  50000 (68.92%), best:    5841/10000 (58.41%), error:     44926.94141, best error:     12425.71973 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: 90.7383041382s, input_fired_time: 1.0733813047, output_fired_time: 0.0000000000, propagate_forward_time: 87.6796417236, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9852828979
   testing[          , genome  5462] predictions:    5841/  10000 (58.41%), best:    5841/10000 (58.41%), error:     12425.71973, best error:     12425.71973 on epoch:    44, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
18:07:52 (6032): called boinc_finish(0)

</stderr_txt>
]]>