Nameexact_genome_1540746903_182_5340_0
Workunit4075233
Created28 Oct 2018, 19:39:58 UTC
Sent28 Oct 2018, 20:13:03 UTC
Report deadline28 Dec 2018, 22:58:35 UTC
Received9 Dec 2018, 11:48:01 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64195
Run time1 days 2 hours 11 min 9 sec
CPU time1 days 1 hours 2 min 46 sec
Validate stateValid
Credit15,278.74
Device peak FLOPS3.80 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size523.45 MB
Peak swap size542.89 MB
Peak disk usage8.84 MB

Stderr output

<core_client_version>7.12.1</core_client_version>
<![CDATA[
<stderr_txt>
ass    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: 1717.60559082031s, input_fired_time: 14.8534917831421, output_fired_time: 13.1466960906982, propagate_forward_time: 643.22607421875, propagate_backward_time: 1025.978515625, weight_update_time: 1.88038623332977, other_time: 20.4007568359375
epoch time: 115.405746459961s, input_fired_time: 1.76481902599335, output_fired_time: 0, propagate_forward_time: 110.86116027832, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.77976989746094
validation[          , genome  5340] predictions:    5599/  10000 (55.99%), best:    5758/10000 (57.58%), error:     13219.70703, best error:     12818.36230 on epoch:    29, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1627.5273437500s, input_fired_time: 14.2666692734, output_fired_time: 12.2510385513, propagate_forward_time: 609.4739379883, propagate_backward_time: 971.7865600586, weight_update_time: 1.8614144325, other_time: 19.7490234375
epoch time: 126.9238815308s, input_fired_time: 1.8508226871, output_fired_time: 0.0000000000, propagate_forward_time: 121.8213882446, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2516708374
validation[          , genome  5340] predictions:    5649/  10000 (56.49%), best:    5758/10000 (57.58%), error:     12893.86230, best error:     12818.36230 on epoch:    29, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1486.8707275391s, input_fired_time: 12.4114799500, output_fired_time: 11.6846790314, propagate_forward_time: 558.7086791992, propagate_backward_time: 887.2463989258, weight_update_time: 1.6603095531, other_time: 16.8194580078
epoch time: 104.2680969238s, input_fired_time: 1.4200382233, output_fired_time: 0.0000000000, propagate_forward_time: 100.1000747681, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7479858398
validation[          , genome  5340] predictions:    5508/  10000 (55.08%), best:    5758/10000 (57.58%), error:     13524.76855, best error:     12818.36230 on epoch:    29, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1479.7221679688s, input_fired_time: 12.7684831619, output_fired_time: 11.3488168716, propagate_forward_time: 556.1470947266, propagate_backward_time: 882.5053710938, weight_update_time: 1.4838650227, other_time: 16.9523925781
epoch time: 120.8138427734s, input_fired_time: 1.9280880690, output_fired_time: 0.0000000000, propagate_forward_time: 115.3429641724, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5427932739
validation[          , genome  5340] predictions:    5740/  10000 (57.40%), best:    5758/10000 (57.58%), error:     12908.14844, best error:     12818.36230 on epoch:    29, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1410.5216064453s, input_fired_time: 12.6669797897, output_fired_time: 10.5737085342, propagate_forward_time: 530.0519409180, propagate_backward_time: 839.9660034180, weight_update_time: 1.5853489637, other_time: 17.2629394531
epoch time: 105.5067291260s, input_fired_time: 1.5983965397, output_fired_time: 0.0000000000, propagate_forward_time: 101.2459640503, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6623687744
validation[          , genome  5340] predictions:    5669/  10000 (56.69%), best:    5758/10000 (57.58%), error:     13414.60156, best error:     12818.36230 on epoch:    29, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1280.8442382813s, input_fired_time: 10.7623395920, output_fired_time: 9.7631835938, propagate_forward_time: 481.6174621582, propagate_backward_time: 763.6617431641, weight_update_time: 1.3758406639, other_time: 15.0395507813
epoch time: 102.8203277588s, input_fired_time: 1.6147145033, output_fired_time: 0.0000000000, propagate_forward_time: 98.4298553467, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7757568359
validation[          , genome  5340] predictions:    5708/  10000 (57.08%), best:    5758/10000 (57.58%), error:     12918.75391, best error:     12818.36230 on epoch:    29, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1269.8303222656s, input_fired_time: 10.7518854141, output_fired_time: 9.6716270447, propagate_forward_time: 476.1619262695, propagate_backward_time: 758.0684814453, weight_update_time: 1.4073957205, other_time: 15.1764526367
epoch time: 93.8244400024s, input_fired_time: 1.2863885164, output_fired_time: 0.0000000000, propagate_forward_time: 90.1689758301, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3690719604
validation[          , genome  5340] predictions:    5764/  10000 (57.64%), best:    5758/10000 (57.58%), error:     12853.98535, best error:     12818.36230 on epoch:    29, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1242.8510742188s, input_fired_time: 10.4109210968, output_fired_time: 9.3078012466, propagate_forward_time: 465.0786437988, propagate_backward_time: 743.2164916992, weight_update_time: 1.2996470928, other_time: 14.8372192383
epoch time: 88.5572891235s, input_fired_time: 1.3335939646, output_fired_time: 0.0000000000, propagate_forward_time: 84.7906799316, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4330139160
validation[          , genome  5340] predictions:    5581/  10000 (55.81%), best:    5758/10000 (57.58%), error:     13294.71289, best error:     12818.36230 on epoch:    29, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1215.8989257813s, input_fired_time: 10.6108608246, output_fired_time: 9.3609828949, propagate_forward_time: 455.7069396973, propagate_backward_time: 726.0087890625, weight_update_time: 1.1959506273, other_time: 14.2114257813
epoch time: 92.3816452026s, input_fired_time: 1.3321444988, output_fired_time: 0.0000000000, propagate_forward_time: 88.4821472168, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5673522949
validation[          , genome  5340] predictions:    5681/  10000 (56.81%), best:    5758/10000 (57.58%), error:     12913.39355, best error:     12818.36230 on epoch:    29, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1216.4949951172s, input_fired_time: 10.7085218430, output_fired_time: 9.3378391266, propagate_forward_time: 454.9821472168, propagate_backward_time: 726.9421997070, weight_update_time: 1.3083585501, other_time: 14.5242309570
epoch time: 103.1898956299s, input_fired_time: 1.4712821245, output_fired_time: 0.0000000000, propagate_forward_time: 99.0209426880, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6976699829
validation[          , genome  5340] predictions:    5612/  10000 (56.12%), best:    5758/10000 (57.58%), error:     13359.95898, best error:     12818.36230 on epoch:    29, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1273.7443847656s, input_fired_time: 11.0056591034, output_fired_time: 9.5124540329, propagate_forward_time: 477.2607421875, propagate_backward_time: 761.2436523438, weight_update_time: 1.3003101349, other_time: 14.7219238281
epoch time: 90.2463684082s, input_fired_time: 1.3526613712, output_fired_time: 0.0000000000, propagate_forward_time: 86.5616912842, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3320159912
validation[          , genome  5340] predictions:    5835/  10000 (58.35%), best:    5835/10000 (58.35%), error:     12507.57910, best error:     12507.57910 on epoch:    46, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1207.8004150391s, input_fired_time: 10.6594371796, output_fired_time: 9.2615013123, propagate_forward_time: 452.3540344238, propagate_backward_time: 721.1027832031, weight_update_time: 1.2201465368, other_time: 14.4227294922
epoch time: 93.1897201538s, input_fired_time: 1.4486979246, output_fired_time: 0.0000000000, propagate_forward_time: 89.3171310425, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4238891602
validation[          , genome  5340] predictions:    5762/  10000 (57.62%), best:    5835/10000 (58.35%), error:     12769.14844, best error:     12507.57910 on epoch:    46, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

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_1540746903_182_5340.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540746903_182_5340_0_r135877500_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: 0.948224
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00106572
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.26288e-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: 48
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 46
read number_validation_images: 10000
read best_validation_predictions: 5835
read best_validation_error: 12507.6
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: 5340
read normal distribution: '0 -0.646240711212158 -0.598709583282471'
generator_str: '590937211'
read generator: 590937211
read generated_by_map:
1 merge_node 1
reading 71 nodes.
reading 240 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1540746903_182_5340.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540746903_182_5340_0_r135877500_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: 0.948224
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00106572
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.26288e-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: 48
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 46
read number_validation_images: 10000
read best_validation_predictions: 5835
read best_validation_error: 12507.6
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: 5340
read normal distribution: '0 -0.646240711212158 -0.598709583282471'
generator_str: '590937211'
read generator: 590937211
read generated_by_map:
1 merge_node 1
reading 71 nodes.
reading 240 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: 794.038269042969s, input_fired_time: 7.99804306030273, output_fired_time: 6.32230281829834, propagate_forward_time: 286.901763916016, propagate_backward_time: 482.270660400391, weight_update_time: 0.944603264331818, other_time: 10.5454711914063
epoch time: 72.2465896606445s, input_fired_time: 1.11363172531128, output_fired_time: 0, propagate_forward_time: 69.0434341430664, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.08952331542969
validation[          , genome  5340] predictions:    5713/  10000 (57.13%), best:    5835/10000 (58.35%), error:     13023.35254, best error:     12507.57910 on epoch:    46, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 781.8751220703s, input_fired_time: 7.9430332184, output_fired_time: 6.2332911491, propagate_forward_time: 281.7969055176, propagate_backward_time: 475.4513549805, weight_update_time: 0.9390998483, other_time: 10.4505310059
epoch time: 54.0356407166s, input_fired_time: 0.9486007094, output_fired_time: 0.0000000000, propagate_forward_time: 51.2707633972, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8162765503
validation[          , genome  5340] predictions:    5833/  10000 (58.33%), best:    5833/10000 (58.33%), error:     12367.31445, best error:     12367.31445 on epoch:    49, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 677.0433959961s, input_fired_time: 7.4513912201, output_fired_time: 5.5714602470, propagate_forward_time: 238.3387756348, propagate_backward_time: 415.7361145020, weight_update_time: 0.8773584366, other_time: 9.9456176758
epoch time: 57.4242172241s, input_fired_time: 0.9652123451, output_fired_time: 0.0000000000, propagate_forward_time: 54.6271400452, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8318634033
validation[          , genome  5340] predictions:    5758/  10000 (57.58%), best:    5833/10000 (58.33%), error:     12824.45410, best error:     12367.31445 on epoch:    49, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 689.0406494141s, input_fired_time: 7.4721431732, output_fired_time: 5.5798521042, propagate_forward_time: 243.5181427002, propagate_backward_time: 422.7068176270, weight_update_time: 0.8784518838, other_time: 9.7637023926
epoch time: 43.2816619873s, input_fired_time: 0.8249982595, output_fired_time: 0.0000000000, propagate_forward_time: 40.8345375061, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6221275330
validation[          , genome  5340] predictions:    5574/  10000 (55.74%), best:    5833/10000 (58.33%), error:     13730.19629, best error:     12367.31445 on epoch:    49, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 725.8327636719s, input_fired_time: 7.6857500076, output_fired_time: 5.8744716644, propagate_forward_time: 258.4326782227, propagate_backward_time: 443.7319641113, weight_update_time: 0.9048215151, other_time: 10.1079406738
epoch time: 47.8310279846s, input_fired_time: 0.8711319566, output_fired_time: 0.0000000000, propagate_forward_time: 45.2693481445, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6905479431
validation[          , genome  5340] predictions:    5880/  10000 (58.80%), best:    5833/10000 (58.33%), error:     12420.58105, best error:     12367.31445 on epoch:    49, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 780.3468017578s, input_fired_time: 7.9450130463, output_fired_time: 6.2156071663, propagate_forward_time: 281.1570129395, propagate_backward_time: 474.6169433594, weight_update_time: 0.9374324679, other_time: 10.4122009277
epoch time: 74.4728851318s, input_fired_time: 1.1599787474, output_fired_time: 0.0000000000, propagate_forward_time: 71.1205673218, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1923370361
validation[          , genome  5340] predictions:    5888/  10000 (58.88%), best:    5833/10000 (58.33%), error:     12388.12109, best error:     12367.31445 on epoch:    49, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 712.5145263672s, input_fired_time: 7.6176328659, output_fired_time: 5.7761154175, propagate_forward_time: 253.1448516846, propagate_backward_time: 436.0015258789, weight_update_time: 0.8950674534, other_time: 9.9744262695
epoch time: 47.8769989014s, input_fired_time: 0.8774088621, output_fired_time: 0.0000000000, propagate_forward_time: 45.3170242310, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6825675964
validation[          , genome  5340] predictions:    5944/  10000 (59.44%), best:    5944/10000 (59.44%), error:     12256.38672, best error:     12256.38672 on epoch:    54, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 704.1007080078s, input_fired_time: 7.5811491013, output_fired_time: 5.7129349709, propagate_forward_time: 249.8426513672, propagate_backward_time: 431.0513305664, weight_update_time: 0.8913970590, other_time: 9.9125976563
epoch time: 84.3462600708s, input_fired_time: 1.2263249159, output_fired_time: 0.0000000000, propagate_forward_time: 80.9962081909, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1237258911
validation[          , genome  5340] predictions:    5901/  10000 (59.01%), best:    5901/10000 (59.01%), error:     12172.49707, best error:     12172.49707 on epoch:    55, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 788.0056152344s, input_fired_time: 7.9990005493, output_fired_time: 6.2752861977, propagate_forward_time: 284.1408081055, propagate_backward_time: 479.1120300293, weight_update_time: 0.9417371154, other_time: 10.4784851074
epoch time: 72.3150711060s, input_fired_time: 1.1022421122, output_fired_time: 0.0000000000, propagate_forward_time: 69.2345504761, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9782791138
validation[          , genome  5340] predictions:    5917/  10000 (59.17%), best:    5901/10000 (59.01%), error:     12270.32129, best error:     12172.49707 on epoch:    55, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 751.7465820313s, input_fired_time: 7.8250617981, output_fired_time: 6.0308060646, propagate_forward_time: 269.2927246094, propagate_backward_time: 458.3956298828, weight_update_time: 0.9194289446, other_time: 10.2023315430
epoch time: 46.7289581299s, input_fired_time: 0.8673266768, output_fired_time: 0.0000000000, propagate_forward_time: 44.1765480042, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6850852966
validation[          , genome  5340] predictions:    5980/  10000 (59.80%), best:    5980/10000 (59.80%), error:     12130.17969, best error:     12130.17969 on epoch:    57, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 804.2664184570s, input_fired_time: 8.1214990616, output_fired_time: 6.4391307831, propagate_forward_time: 290.5688171387, propagate_backward_time: 488.4372253418, weight_update_time: 0.9532539845, other_time: 10.6997070313
epoch time: 70.2796096802s, input_fired_time: 1.0933613777, output_fired_time: 0.0000000000, propagate_forward_time: 67.2355499268, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9506988525
validation[          , genome  5340] predictions:    5952/  10000 (59.52%), best:    5952/10000 (59.52%), error:     12103.70898, best error:     12103.70898 on epoch:    58, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 743.4861450195s, input_fired_time: 7.8161749840, output_fired_time: 6.0043535233, propagate_forward_time: 266.0222167969, propagate_backward_time: 453.3823547363, weight_update_time: 0.9156063795, other_time: 10.2610778809
epoch time: 53.6152191162s, input_fired_time: 0.9526514411, output_fired_time: 0.0000000000, propagate_forward_time: 50.8533859253, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8091812134
validation[          , genome  5340] predictions:    5759/  10000 (57.59%), best:    5952/10000 (59.52%), error:     12844.18457, best error:     12103.70898 on epoch:    58, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 791.2442016602s, input_fired_time: 8.1078367233, output_fired_time: 6.3699622154, propagate_forward_time: 285.1747131348, propagate_backward_time: 480.9562072754, weight_update_time: 0.9468643665, other_time: 10.6354980469
epoch time: 74.1213073730s, input_fired_time: 1.1644741297, output_fired_time: 0.0000000000, propagate_forward_time: 70.7892227173, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1676101685
validation[          , genome  5340] predictions:    5825/  10000 (58.25%), best:    5952/10000 (59.52%), error:     12628.45703, best error:     12103.70898 on epoch:    58, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 744.5750732422s, input_fired_time: 7.8536410332, output_fired_time: 6.0194764137, propagate_forward_time: 266.0424804688, propagate_backward_time: 454.4053955078, weight_update_time: 0.9161227942, other_time: 10.2540893555
epoch time: 57.9300117493s, input_fired_time: 0.9943780899, output_fired_time: 0.0000000000, propagate_forward_time: 55.0906333923, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8450012207
validation[          , genome  5340] predictions:    6011/  10000 (60.11%), best:    6011/10000 (60.11%), error:     12100.79688, best error:     12100.79688 on epoch:    61, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 788.5621948242s, input_fired_time: 8.1151514053, output_fired_time: 6.3836541176, propagate_forward_time: 283.8339843750, propagate_backward_time: 479.5088195801, weight_update_time: 0.9484815598, other_time: 10.7205505371
epoch time: 82.0942459106s, input_fired_time: 1.2210636139, output_fired_time: 0.0000000000, propagate_forward_time: 78.6964111328, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1767730713
validation[          , genome  5340] predictions:    5926/  10000 (59.26%), best:    6011/10000 (60.11%), error:     12145.33203, best error:     12100.79688 on epoch:    61, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 729.1099853516s, input_fired_time: 7.7857122421, output_fired_time: 5.9256110191, propagate_forward_time: 259.6514587402, propagate_backward_time: 445.5343017578, weight_update_time: 0.9065118432, other_time: 10.2129211426
epoch time: 71.1006393433s, input_fired_time: 1.1307898760, output_fired_time: 0.0000000000, propagate_forward_time: 67.8453826904, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1244659424
validation[          , genome  5340] predictions:    5910/  10000 (59.10%), best:    6011/10000 (60.11%), error:     12348.25391, best error:     12100.79688 on epoch:    61, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 702.4296875000s, input_fired_time: 7.6437740326, output_fired_time: 5.7399263382, propagate_forward_time: 248.7768707275, propagate_backward_time: 430.2486267090, weight_update_time: 0.8893157244, other_time: 10.0204772949
epoch time: 44.7893524170s, input_fired_time: 0.8531321287, output_fired_time: 0.0000000000, propagate_forward_time: 42.2941780090, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6420440674
validation[          , genome  5340] predictions:    5975/  10000 (59.75%), best:    5975/10000 (59.75%), error:     12024.51172, best error:     12024.51172 on epoch:    64, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 684.2507934570s, input_fired_time: 7.5434813499, output_fired_time: 5.5765957832, propagate_forward_time: 241.7660675049, propagate_backward_time: 419.5675964355, weight_update_time: 0.8768466115, other_time: 9.7970886230
epoch time: 69.2100753784s, input_fired_time: 1.1120263338, output_fired_time: 0.0000000000, propagate_forward_time: 66.0076751709, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0903701782
validation[          , genome  5340] predictions:    5943/  10000 (59.43%), best:    5975/10000 (59.75%), error:     12159.74512, best error:     12024.51172 on epoch:    64, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 738.5087280273s, input_fired_time: 7.8480939865, output_fired_time: 5.9955496788, propagate_forward_time: 263.4788513184, propagate_backward_time: 450.9502563477, weight_update_time: 0.9115992188, other_time: 10.2359924316
epoch time: 49.7283477783s, input_fired_time: 0.9118870497, output_fired_time: 0.0000000000, propagate_forward_time: 47.0752525330, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7412071228
validation[          , genome  5340] predictions:    5964/  10000 (59.64%), best:    5975/10000 (59.75%), error:     12060.54785, best error:     12024.51172 on epoch:    64, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 633.3670043945s, input_fired_time: 7.3075079918, output_fired_time: 5.2494463921, propagate_forward_time: 220.4454193115, propagate_backward_time: 390.8826599121, weight_update_time: 0.8462482095, other_time: 9.4819641113
epoch time: 43.9204101563s, input_fired_time: 0.8514856100, output_fired_time: 0.0000000000, propagate_forward_time: 41.4360275269, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6328964233
validation[          , genome  5340] predictions:    6045/  10000 (60.45%), best:    6045/10000 (60.45%), error:     12011.37598, best error:     12011.37598 on epoch:    67, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 742.6000366211s, input_fired_time: 7.8889555931, output_fired_time: 6.0349230766, propagate_forward_time: 265.1137390137, propagate_backward_time: 453.2305297852, weight_update_time: 0.9182294607, other_time: 10.3318786621
epoch time: 69.6131286621s, input_fired_time: 1.0918012857, output_fired_time: 0.0000000000, propagate_forward_time: 66.5787506104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9425735474
validation[          , genome  5340] predictions:    5859/  10000 (58.59%), best:    6045/10000 (60.45%), error:     12334.32324, best error:     12011.37598 on epoch:    67, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 658.5932006836s, input_fired_time: 7.4172792435, output_fired_time: 5.3910312653, propagate_forward_time: 230.9636688232, propagate_backward_time: 405.2456665039, weight_update_time: 0.8601353168, other_time: 9.5755004883
epoch time: 54.4582748413s, input_fired_time: 0.9543763399, output_fired_time: 0.0000000000, propagate_forward_time: 51.7449951172, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7589035034
validation[          , genome  5340] predictions:    5882/  10000 (58.82%), best:    6045/10000 (60.45%), error:     12800.90430, best error:     12011.37598 on epoch:    67, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 764.8094482422s, input_fired_time: 8.0260925293, output_fired_time: 6.2147464752, propagate_forward_time: 273.8324890137, propagate_backward_time: 466.2342224121, weight_update_time: 0.9326738715, other_time: 10.5018920898
epoch time: 83.7990875244s, input_fired_time: 1.2769678831, output_fired_time: 0.0000000000, propagate_forward_time: 80.1619949341, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3601226807
validation[          , genome  5340] predictions:    6011/  10000 (60.11%), best:    6011/10000 (60.11%), error:     11895.25098, best error:     11895.25098 on epoch:    70, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 774.4406127930s, input_fired_time: 8.0720090866, output_fired_time: 6.2678780556, propagate_forward_time: 278.1921691895, propagate_backward_time: 471.3473815918, weight_update_time: 0.9376723170, other_time: 10.5611572266
epoch time: 54.5057296753s, input_fired_time: 0.9689731002, output_fired_time: 0.0000000000, propagate_forward_time: 51.7469787598, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7897796631
validation[          , genome  5340] predictions:    6046/  10000 (60.46%), best:    6046/10000 (60.46%), error:     11815.06152, best error:     11815.06152 on epoch:    71, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 750.9187011719s, input_fired_time: 7.9416456223, output_fired_time: 6.0498743057, propagate_forward_time: 268.7817993164, propagate_backward_time: 457.8400268555, weight_update_time: 0.9208843708, other_time: 10.3053588867
epoch time: 53.1821784973s, input_fired_time: 0.9570683837, output_fired_time: 0.0000000000, propagate_forward_time: 50.4262161255, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7988929749
validation[          , genome  5340] predictions:    6012/  10000 (60.12%), best:    6046/10000 (60.46%), error:     12022.53711, best error:     11815.06152 on epoch:    71, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 741.3712158203s, input_fired_time: 7.8776473999, output_fired_time: 5.9540457726, propagate_forward_time: 265.0230712891, propagate_backward_time: 452.3406372070, weight_update_time: 0.9144762754, other_time: 10.1758422852
epoch time: 46.0175704956s, input_fired_time: 0.8808654547, output_fired_time: 0.0000000000, propagate_forward_time: 43.4830131531, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6536903381
validation[          , genome  5340] predictions:    6018/  10000 (60.18%), best:    6046/10000 (60.46%), error:     12206.12793, best error:     11815.06152 on epoch:    71, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 729.9971923828s, input_fired_time: 7.8472919464, output_fired_time: 5.9192991257, propagate_forward_time: 260.2650451660, propagate_backward_time: 445.8085327148, weight_update_time: 0.9069233537, other_time: 10.1570129395
epoch time: 47.4716262817s, input_fired_time: 0.9002048373, output_fired_time: 0.0000000000, propagate_forward_time: 44.8751335144, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6962890625
validation[          , genome  5340] predictions:    5935/  10000 (59.35%), best:    6046/10000 (60.46%), error:     12331.27441, best error:     11815.06152 on epoch:    71, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 700.7655639648s, input_fired_time: 7.6720838547, output_fired_time: 5.6882033348, propagate_forward_time: 248.0719757080, propagate_backward_time: 429.4425964355, weight_update_time: 0.8903756142, other_time: 9.8907165527
epoch time: 43.3174781799s, input_fired_time: 0.8505913019, output_fired_time: 0.0000000000, propagate_forward_time: 40.8424034119, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6244850159
validation[          , genome  5340] predictions:    6035/  10000 (60.35%), best:    6046/10000 (60.46%), error:     11832.26855, best error:     11815.06152 on epoch:    71, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 846.4534301758s, input_fired_time: 8.4699211121, output_fired_time: 6.7728619576, propagate_forward_time: 307.7114562988, propagate_backward_time: 512.3884887695, weight_update_time: 0.9836486578, other_time: 11.1106567383
epoch time: 63.6132698059s, input_fired_time: 1.0481665134, output_fired_time: 0.0000000000, propagate_forward_time: 60.6997985840, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8653030396
validation[          , genome  5340] predictions:    6020/  10000 (60.20%), best:    6046/10000 (60.46%), error:     11870.19434, best error:     11815.06152 on epoch:    71, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 794.9978027344s, input_fired_time: 8.1701679230, output_fired_time: 6.3666505814, propagate_forward_time: 286.8602905273, propagate_backward_time: 482.9662780762, weight_update_time: 0.9482613802, other_time: 10.6344299316
epoch time: 57.8977890015s, input_fired_time: 1.0055892467, output_fired_time: 0.0000000000, propagate_forward_time: 55.0085639954, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8836364746
validation[          , genome  5340] predictions:    6002/  10000 (60.02%), best:    6046/10000 (60.46%), error:     11944.09668, best error:     11815.06152 on epoch:    71, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 847.9298706055s, input_fired_time: 8.4681520462, output_fired_time: 6.7720222473, propagate_forward_time: 308.3689880371, propagate_backward_time: 513.2429809570, weight_update_time: 0.9854245186, other_time: 11.0776977539
epoch time: 75.2870941162s, input_fired_time: 1.1586706638, output_fired_time: 0.0000000000, propagate_forward_time: 72.0777282715, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0506973267
validation[          , genome  5340] predictions:    6061/  10000 (60.61%), best:    6046/10000 (60.46%), error:     11922.05957, best error:     11815.06152 on epoch:    71, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 736.4867553711s, input_fired_time: 7.8646564484, output_fired_time: 5.9502854347, propagate_forward_time: 262.7872619629, propagate_backward_time: 449.7126464844, weight_update_time: 0.9093412757, other_time: 10.1719055176
epoch time: 45.2055244446s, input_fired_time: 0.8767448664, output_fired_time: 0.0000000000, propagate_forward_time: 42.6718597412, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6569213867
validation[          , genome  5340] predictions:    6084/  10000 (60.84%), best:    6046/10000 (60.46%), error:     11883.98828, best error:     11815.06152 on epoch:    71, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 907.0590820313s, input_fired_time: 8.7716016769, output_fired_time: 7.1746101379, propagate_forward_time: 332.6869812012, propagate_backward_time: 546.9462280273, weight_update_time: 1.0220857859, other_time: 11.4796752930
epoch time: 49.5914726257s, input_fired_time: 0.9156202674, output_fired_time: 0.0000000000, propagate_forward_time: 46.9671440125, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7087097168
validation[          , genome  5340] predictions:    6029/  10000 (60.29%), best:    6046/10000 (60.46%), error:     11901.61523, best error:     11815.06152 on epoch:    71, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 891.8107910156s, input_fired_time: 8.6004676819, output_fired_time: 6.9220128059, propagate_forward_time: 327.3277893066, propagate_backward_time: 537.9491577148, weight_update_time: 1.0040713549, other_time: 11.0114135742
epoch time: 82.2680282593s, input_fired_time: 1.2301915884, output_fired_time: 0.0000000000, propagate_forward_time: 78.9349288940, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1029052734
validation[          , genome  5340] predictions:    6082/  10000 (60.82%), best:    6046/10000 (60.46%), error:     11835.69727, best error:     11815.06152 on epoch:    71, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 911.2656250000s, input_fired_time: 8.7546482086, output_fired_time: 7.1360621452, propagate_forward_time: 334.8358764648, propagate_backward_time: 549.1707153320, weight_update_time: 1.0213004351, other_time: 11.3683471680
epoch time: 74.0243072510s, input_fired_time: 1.1467653513, output_fired_time: 0.0000000000, propagate_forward_time: 70.8791351318, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9984054565
validation[          , genome  5340] predictions:    6073/  10000 (60.73%), best:    6046/10000 (60.46%), error:     11914.45703, best error:     11815.06152 on epoch:    71, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 887.7972412109s, input_fired_time: 8.6207990646, output_fired_time: 6.9276194572, propagate_forward_time: 325.3273620605, propagate_backward_time: 535.8120727539, weight_update_time: 1.0047159195, other_time: 11.1094360352
epoch time: 52.0779075623s, input_fired_time: 0.9431174397, output_fired_time: 0.0000000000, propagate_forward_time: 49.3874053955, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7473831177
validation[          , genome  5340] predictions:    6032/  10000 (60.32%), best:    6046/10000 (60.46%), error:     11990.43457, best error:     11815.06152 on epoch:    71, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 865.9157714844s, input_fired_time: 8.5400123596, output_fired_time: 6.8269753456, propagate_forward_time: 316.1728210449, propagate_backward_time: 523.3230590820, weight_update_time: 0.9906679392, other_time: 11.0529174805
epoch time: 84.1700897217s, input_fired_time: 1.2751892805, output_fired_time: 0.0000000000, propagate_forward_time: 80.6097564697, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2851409912
validation[          , genome  5340] predictions:    6044/  10000 (60.44%), best:    6044/10000 (60.44%), error:     11812.56250, best error:     11812.56250 on epoch:    84, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 925.3524780273s, input_fired_time: 8.8125457764, output_fired_time: 7.1970634460, propagate_forward_time: 340.9460754395, propagate_backward_time: 557.0383300781, weight_update_time: 1.0283184052, other_time: 11.3583984375
epoch time: 73.2815322876s, input_fired_time: 1.1409859657, output_fired_time: 0.0000000000, propagate_forward_time: 70.1600799561, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9804687500
validation[          , genome  5340] predictions:    6086/  10000 (60.86%), best:    6044/10000 (60.44%), error:     11832.50586, best error:     11812.56250 on epoch:    84, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 827.5885009766s, input_fired_time: 8.3742322922, output_fired_time: 6.5973911285, propagate_forward_time: 300.5351562500, propagate_backward_time: 501.1995849609, weight_update_time: 0.9686889648, other_time: 10.8821411133
epoch time: 72.1566467285s, input_fired_time: 1.1412492990, output_fired_time: 0.0000000000, propagate_forward_time: 68.9883804321, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0270156860
validation[          , genome  5340] predictions:    6029/  10000 (60.29%), best:    6044/10000 (60.44%), error:     12019.25195, best error:     11812.56250 on epoch:    84, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 926.7257080078s, input_fired_time: 8.8560028076, output_fired_time: 7.2250499725, propagate_forward_time: 341.6607055664, propagate_backward_time: 557.5301513672, weight_update_time: 1.0313802958, other_time: 11.4537963867
epoch time: 79.3055191040s, input_fired_time: 1.2003122568, output_fired_time: 0.0000000000, propagate_forward_time: 76.0320281982, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0731811523
validation[          , genome  5340] predictions:    6104/  10000 (61.04%), best:    6044/10000 (60.44%), error:     11841.08496, best error:     11812.56250 on epoch:    84, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 902.9559936523s, input_fired_time: 8.6830472946, output_fired_time: 7.0172491074, propagate_forward_time: 331.4646606445, propagate_backward_time: 544.6383056641, weight_update_time: 1.0122811794, other_time: 11.1527099609
epoch time: 53.8648643494s, input_fired_time: 0.9631395936, output_fired_time: 0.0000000000, propagate_forward_time: 51.1519279480, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7497978210
validation[          , genome  5340] predictions:    6077/  10000 (60.77%), best:    6077/10000 (60.77%), error:     11737.32813, best error:     11737.32813 on epoch:    88, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 958.0592651367s, input_fired_time: 8.9797191620, output_fired_time: 7.4082350731, propagate_forward_time: 354.3897705078, propagate_backward_time: 575.7393188477, weight_update_time: 1.0468308926, other_time: 11.5421752930
epoch time: 56.2765426636s, input_fired_time: 0.9895557761, output_fired_time: 0.0000000000, propagate_forward_time: 53.4825057983, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8044815063
validation[          , genome  5340] predictions:    6000/  10000 (60.00%), best:    6077/10000 (60.77%), error:     12021.50195, best error:     11737.32813 on epoch:    88, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 912.7198486328s, input_fired_time: 8.7462177277, output_fired_time: 7.0799574852, propagate_forward_time: 336.2090759277, propagate_backward_time: 549.4736938477, weight_update_time: 1.0183446407, other_time: 11.2108764648
epoch time: 67.4397811890s, input_fired_time: 1.0866309404, output_fired_time: 0.0000000000, propagate_forward_time: 64.4482192993, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9049301147
validation[          , genome  5340] predictions:    6001/  10000 (60.01%), best:    6077/10000 (60.77%), error:     12108.49902, best error:     11737.32813 on epoch:    88, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 913.4996948242s, input_fired_time: 8.7739839554, output_fired_time: 7.1166143417, propagate_forward_time: 336.1138916016, propagate_backward_time: 550.2286376953, weight_update_time: 1.0180083513, other_time: 11.2665405273
epoch time: 75.2261962891s, input_fired_time: 1.1721527576, output_fired_time: 0.0000000000, propagate_forward_time: 71.9988098145, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0552368164
validation[          , genome  5340] predictions:    6090/  10000 (60.90%), best:    6077/10000 (60.77%), error:     11906.28711, best error:     11737.32813 on epoch:    88, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 873.8179931641s, input_fired_time: 8.5984401703, output_fired_time: 6.8702092171, propagate_forward_time: 319.8541564941, propagate_backward_time: 527.4403686523, weight_update_time: 0.9963412881, other_time: 11.0547485352
epoch time: 82.8444900513s, input_fired_time: 1.2745463848, output_fired_time: 0.0000000000, propagate_forward_time: 79.2399902344, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3299560547
validation[          , genome  5340] predictions:    5976/  10000 (59.76%), best:    6077/10000 (60.77%), error:     12198.12012, best error:     11737.32813 on epoch:    88, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 918.4132690430s, input_fired_time: 8.8147354126, output_fired_time: 7.1568646431, propagate_forward_time: 338.4654846191, propagate_backward_time: 552.6171875000, weight_update_time: 1.0246537924, other_time: 11.3590087891
epoch time: 62.5093650818s, input_fired_time: 1.0456207991, output_fired_time: 0.0000000000, propagate_forward_time: 59.6074790955, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8562660217
validation[          , genome  5340] predictions:    6087/  10000 (60.87%), best:    6077/10000 (60.77%), error:     11861.40332, best error:     11737.32813 on epoch:    88, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 909.6095581055s, input_fired_time: 8.7744617462, output_fired_time: 7.0830497742, propagate_forward_time: 335.3061218262, propagate_backward_time: 547.1197509766, weight_update_time: 1.0219053030, other_time: 11.3261718750
epoch time: 65.2036590576s, input_fired_time: 1.0784347057, output_fired_time: 0.0000000000, propagate_forward_time: 62.2078285217, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9173927307
validation[          , genome  5340] predictions:    6056/  10000 (60.56%), best:    6077/10000 (60.77%), error:     11878.25195, best error:     11737.32813 on epoch:    88, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 883.2233886719s, input_fired_time: 8.6196241379, output_fired_time: 6.9015531540, propagate_forward_time: 324.6770019531, propagate_backward_time: 531.9779052734, weight_update_time: 1.0032335520, other_time: 11.0473022461
epoch time: 69.3253250122s, input_fired_time: 1.1229156256, output_fired_time: 0.0000000000, propagate_forward_time: 66.2027435303, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9996643066
validation[          , genome  5340] predictions:    6065/  10000 (60.65%), best:    6077/10000 (60.77%), error:     11901.63867, best error:     11737.32813 on epoch:    88, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 911.7166748047s, input_fired_time: 8.7822227478, output_fired_time: 7.0612859726, propagate_forward_time: 335.8886413574, propagate_backward_time: 548.6724853516, weight_update_time: 1.0203456879, other_time: 11.3120117188
epoch time: 57.4307098389s, input_fired_time: 1.0030159950, output_fired_time: 0.0000000000, propagate_forward_time: 54.6034202576, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8242721558
validation[          , genome  5340] predictions:    6106/  10000 (61.06%), best:    6106/10000 (61.06%), error:     11712.09277, best error:     11712.09277 on epoch:    96, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

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_1540746903_182_5340.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540746903_182_5340_0_r135877500_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: 0.986616
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 8.63176e-05
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.4527e-06
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: 97
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 96
read number_validation_images: 10000
read best_validation_predictions: 6106
read best_validation_error: 11712.1
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: 5340
read normal distribution: '0 -0.646240711212158 -0.598709583282471'
generator_str: '359635532'
read generator: 359635532
read generated_by_map:
1 merge_node 1
reading 71 nodes.
reading 240 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: 1042.64013671875s, input_fired_time: 18.2123966217041, output_fired_time: 14.5118532180786, propagate_forward_time: 359.343627929688, propagate_backward_time: 606.105712890625, weight_update_time: 1.99645698070526, other_time: 44.466552734375
epoch time: 82.6347045898438s, input_fired_time: 2.70679068565369, output_fired_time: 0, propagate_forward_time: 71.4098968505859, propagate_backward_time: 0, weight_update_time: 0, other_time: 8.51802062988281
validation[          , genome  5340] predictions:    6046/  10000 (60.46%), best:    6106/10000 (61.06%), error:     11801.23340, best error:     11712.09277 on epoch:    96, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 1047.2454833984s, input_fired_time: 17.7695102692, output_fired_time: 14.1926603317, propagate_forward_time: 363.7068481445, propagate_backward_time: 607.9633789063, weight_update_time: 1.9827629328, other_time: 43.6130371094
epoch time: 71.7982101440s, input_fired_time: 2.4178903103, output_fired_time: 0.0000000000, propagate_forward_time: 62.5851364136, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.7951812744
validation[          , genome  5340] predictions:    6071/  10000 (60.71%), best:    6106/10000 (61.06%), error:     11780.37988, best error:     11712.09277 on epoch:    96, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 1067.1733398438s, input_fired_time: 18.5505371094, output_fired_time: 14.7846975327, propagate_forward_time: 368.2800598145, propagate_backward_time: 619.6314697266, weight_update_time: 2.0447425842, other_time: 45.9266357422
epoch time: 88.7115707397s, input_fired_time: 2.9589040279, output_fired_time: 0.0000000000, propagate_forward_time: 76.2482833862, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.5043869019
validation[          , genome  5340] predictions:    6083/  10000 (60.83%), best:    6106/10000 (61.06%), error:     11828.01660, best error:     11712.09277 on epoch:    96, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 1086.6530761719s, input_fired_time: 18.1056385040, output_fired_time: 14.5247888565, propagate_forward_time: 377.9497070313, propagate_backward_time: 631.2194213867, weight_update_time: 2.0301332474, other_time: 44.8535766602
epoch time: 86.7123031616s, input_fired_time: 2.7090082169, output_fired_time: 0.0000000000, propagate_forward_time: 75.5226516724, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.4806442261
validation[          , genome  5340] predictions:    6066/  10000 (60.66%), best:    6106/10000 (61.06%), error:     11915.03613, best error:     11712.09277 on epoch:    96, epoch:  100/100, mu: 0.9870989323, learning_rate: 0.0000740065, weight_decay: 0.0000029603

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 449.4606018066s, input_fired_time: 14.0734567642, output_fired_time: 0.0000000000, propagate_forward_time: 389.9259948730, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 45.4611511230
best training[          , genome  5340] predictions:   38858/  50000 (77.72%), best:    6106/10000 (61.06%), error:     33596.03516, best error:     11712.09277 on epoch:    96, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 81.8264160156s, input_fired_time: 2.5118923187, output_fired_time: 0.0000000000, propagate_forward_time: 71.8362426758, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.4782791138
   testing[          , genome  5340] predictions:    6106/  10000 (61.06%), best:    6106/10000 (61.06%), error:     11712.09277, best error:     11712.09277 on epoch:    96, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
12:35:03 (45484): called boinc_finish(0)

</stderr_txt>
]]>