Nameexact_genome_1532008504_144_9054_1
Workunit3871115
Created21 Jul 2018, 12:16:16 UTC
Sent21 Jul 2018, 13:10:36 UTC
Report deadline28 Aug 2018, 20:09:42 UTC
Received23 Jul 2018, 0:19:42 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID51414
Run time1 days 5 hours 3 min 48 sec
CPU time1 days 4 hours 55 min 28 sec
Validate stateInvalid
Credit0.00
Device peak FLOPS2.63 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size539.27 MB
Peak swap size560.86 MB
Peak disk usage14.19 MB

Stderr output

<core_client_version>7.6.33</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_1532008504_144_9054.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1532008504_144_9054_1_r2084711696_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1532008504_144_9054.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 0
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 9054
read normal distribution: '0 0.332115471363068 0.560627520084381'
generator_str: '354081415'
read generator: 354081415
read generated_by_map:
1 add_edge 1
reading 141 nodes.
reading 564 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: 369156068
post shuffle 1: 1868203719
epoch time: 3547.9580078125s, input_fired_time: 24.0405693054199, output_fired_time: 22.9916534423828, propagate_forward_time: 1357.27026367188, propagate_backward_time: 2112.62939453125, weight_update_time: 2.37673830986023, other_time: 31.026123046875
epoch time: 279.318725585938s, input_fired_time: 2.93664479255676, output_fired_time: 0, propagate_forward_time: 270.809112548828, propagate_backward_time: 0, weight_update_time: 0, other_time: 5.57296752929688
validation[          , genome  9054] predictions:    5127/  10000 (51.27%), best:    5127/10000 (51.27%), error:     17160.21484, best error:     17160.21484 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 3549.0285644531s, input_fired_time: 23.9436836243, output_fired_time: 23.0943470001, propagate_forward_time: 1357.7833251953, propagate_backward_time: 2113.3020019531, weight_update_time: 2.3541502953, other_time: 30.9055175781
epoch time: 279.7903137207s, input_fired_time: 2.9235167503, output_fired_time: 0.0000000000, propagate_forward_time: 271.3160400391, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5507507324
validation[          , genome  9054] predictions:    5381/  10000 (53.81%), best:    5381/10000 (53.81%), error:     15318.63086, best error:     15318.63086 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 3548.2419433594s, input_fired_time: 23.8581542969, output_fired_time: 22.9584484100, propagate_forward_time: 1358.3258056641, propagate_backward_time: 2112.1362304688, weight_update_time: 2.3680677414, other_time: 30.9633789063
epoch time: 280.7980041504s, input_fired_time: 2.9161193371, output_fired_time: 0.0000000000, propagate_forward_time: 272.3332214355, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5486755371
validation[          , genome  9054] predictions:    5171/  10000 (51.71%), best:    5381/10000 (53.81%), error:     15631.63184, best error:     15318.63086 on epoch:     1, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 3548.2958984375s, input_fired_time: 23.8408336639, output_fired_time: 23.0705814362, propagate_forward_time: 1358.1296386719, propagate_backward_time: 2112.3125000000, weight_update_time: 2.3673779964, other_time: 30.9423828125
epoch time: 279.6704101563s, input_fired_time: 2.8944756985, output_fired_time: 0.0000000000, propagate_forward_time: 271.2246704102, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5512695313
validation[          , genome  9054] predictions:    5287/  10000 (52.87%), best:    5287/10000 (52.87%), error:     15292.12891, best error:     15292.12891 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 3548.8637695313s, input_fired_time: 23.8249664307, output_fired_time: 23.0429210663, propagate_forward_time: 1355.8593750000, propagate_backward_time: 2115.1557617188, weight_update_time: 2.3682322502, other_time: 30.9807128906
epoch time: 280.2194519043s, input_fired_time: 2.9194729328, output_fired_time: 0.0000000000, propagate_forward_time: 271.7126159668, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5873718262
validation[          , genome  9054] predictions:    5331/  10000 (53.31%), best:    5331/10000 (53.31%), error:     14611.41406, best error:     14611.41406 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 3545.1647949219s, input_fired_time: 23.7903766632, output_fired_time: 23.0148029327, propagate_forward_time: 1356.8311767578, propagate_backward_time: 2110.6203613281, weight_update_time: 2.3722147942, other_time: 30.9079589844
epoch time: 280.2930908203s, input_fired_time: 2.9159042835, output_fired_time: 0.0000000000, propagate_forward_time: 271.7730712891, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.6041259766
validation[          , genome  9054] predictions:    5397/  10000 (53.97%), best:    5331/10000 (53.31%), error:     14926.80469, best error:     14611.41406 on epoch:     4, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 3550.7199707031s, input_fired_time: 23.7712574005, output_fired_time: 23.0715999603, propagate_forward_time: 1356.9887695313, propagate_backward_time: 2115.9782714844, weight_update_time: 2.3606946468, other_time: 30.9101562500
epoch time: 279.7856140137s, input_fired_time: 2.8980360031, output_fired_time: 0.0000000000, propagate_forward_time: 271.2985839844, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5889892578
validation[          , genome  9054] predictions:    5420/  10000 (54.20%), best:    5331/10000 (53.31%), error:     14613.96582, best error:     14611.41406 on epoch:     4, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 3547.4018554688s, input_fired_time: 23.7630500793, output_fired_time: 23.0239696503, propagate_forward_time: 1355.8511962891, propagate_backward_time: 2113.8481445313, weight_update_time: 2.3734123707, other_time: 30.9155273438
epoch time: 288.6047058105s, input_fired_time: 3.0236155987, output_fired_time: 0.0000000000, propagate_forward_time: 279.6812438965, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.8998413086
validation[          , genome  9054] predictions:    5363/  10000 (53.63%), best:    5363/10000 (53.63%), error:     14577.18945, best error:     14577.18945 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 3629.3847656250s, input_fired_time: 25.0652942657, output_fired_time: 24.6984062195, propagate_forward_time: 1388.9207763672, propagate_backward_time: 2158.6086425781, weight_update_time: 2.4726295471, other_time: 32.0915527344
epoch time: 280.2540283203s, input_fired_time: 2.9098794460, output_fired_time: 0.0000000000, propagate_forward_time: 271.7845153809, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5596313477
validation[          , genome  9054] predictions:    5622/  10000 (56.22%), best:    5622/10000 (56.22%), error:     14062.20703, best error:     14062.20703 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 3542.5583496094s, input_fired_time: 23.8015937805, output_fired_time: 23.0244827271, propagate_forward_time: 1354.3054199219, propagate_backward_time: 2110.4477539063, weight_update_time: 2.3668875694, other_time: 30.9792480469
epoch time: 278.4275817871s, input_fired_time: 2.9157323837, output_fired_time: 0.0000000000, propagate_forward_time: 269.9965820313, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5152587891
validation[          , genome  9054] predictions:    5397/  10000 (53.97%), best:    5622/10000 (56.22%), error:     15056.02734, best error:     14062.20703 on epoch:     8, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 3543.8190917969s, input_fired_time: 23.8058471680, output_fired_time: 23.0619678497, propagate_forward_time: 1355.2020263672, propagate_backward_time: 2110.7348632813, weight_update_time: 2.3687083721, other_time: 31.0141601563
epoch time: 278.9180297852s, input_fired_time: 2.8779144287, output_fired_time: 0.0000000000, propagate_forward_time: 270.4828186035, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5572814941
validation[          , genome  9054] predictions:    5686/  10000 (56.86%), best:    5686/10000 (56.86%), error:     13104.83105, best error:     13104.83105 on epoch:    10, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 3545.6230468750s, input_fired_time: 23.8259277344, output_fired_time: 23.0097160339, propagate_forward_time: 1354.4990234375, propagate_backward_time: 2113.2810058594, weight_update_time: 2.3664653301, other_time: 31.0073242188
epoch time: 280.5806884766s, input_fired_time: 2.9021072388, output_fired_time: 0.0000000000, propagate_forward_time: 272.0911254883, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5874633789
validation[          , genome  9054] predictions:    5487/  10000 (54.87%), best:    5686/10000 (56.86%), error:     13932.00977, best error:     13104.83105 on epoch:    10, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 3549.1904296875s, input_fired_time: 23.7968616486, output_fired_time: 23.1009578705, propagate_forward_time: 1356.2011718750, propagate_backward_time: 2115.1547851563, weight_update_time: 2.3669977188, other_time: 30.9365234375
epoch time: 279.5113525391s, input_fired_time: 2.9235286713, output_fired_time: 0.0000000000, propagate_forward_time: 271.0067443848, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5810852051
validation[          , genome  9054] predictions:    5424/  10000 (54.24%), best:    5686/10000 (56.86%), error:     14564.44727, best error:     13104.83105 on epoch:    10, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 3552.4699707031s, input_fired_time: 23.8796062469, output_fired_time: 23.1670379639, propagate_forward_time: 1358.8308105469, propagate_backward_time: 2115.6391601563, weight_update_time: 2.3714370728, other_time: 30.9533691406
epoch time: 279.2990722656s, input_fired_time: 2.9276790619, output_fired_time: 0.0000000000, propagate_forward_time: 270.8379516602, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5334472656
validation[          , genome  9054] predictions:    5859/  10000 (58.59%), best:    5859/10000 (58.59%), error:     12998.48535, best error:     12998.48535 on epoch:    13, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 3548.2209472656s, input_fired_time: 23.8686027527, output_fired_time: 22.9946899414, propagate_forward_time: 1355.2609863281, propagate_backward_time: 2115.1191406250, weight_update_time: 2.3687756062, other_time: 30.9775390625
epoch time: 279.8982238770s, input_fired_time: 2.9395651817, output_fired_time: 0.0000000000, propagate_forward_time: 271.4243774414, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5342712402
validation[          , genome  9054] predictions:    5765/  10000 (57.65%), best:    5859/10000 (58.59%), error:     13089.97168, best error:     12998.48535 on epoch:    13, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 3551.8662109375s, input_fired_time: 23.9558162689, output_fired_time: 23.0347614288, propagate_forward_time: 1358.9719238281, propagate_backward_time: 2114.8376464844, weight_update_time: 2.3685836792, other_time: 31.0661621094
epoch time: 279.7987060547s, input_fired_time: 2.9266638756, output_fired_time: 0.0000000000, propagate_forward_time: 271.3348999023, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5371398926
validation[          , genome  9054] predictions:    5886/  10000 (58.86%), best:    5886/10000 (58.86%), error:     12402.84375, best error:     12402.84375 on epoch:    15, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 3555.7294921875s, input_fired_time: 23.9427680969, output_fired_time: 23.1235504150, propagate_forward_time: 1358.4996337891, propagate_backward_time: 2119.2167968750, weight_update_time: 2.3667116165, other_time: 30.9467773438
epoch time: 279.5348510742s, input_fired_time: 2.9278199673, output_fired_time: 0.0000000000, propagate_forward_time: 271.0354614258, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5715637207
validation[          , genome  9054] predictions:    5684/  10000 (56.84%), best:    5886/10000 (58.86%), error:     13492.30469, best error:     12402.84375 on epoch:    15, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 3551.3486328125s, input_fired_time: 24.0059795380, output_fired_time: 23.0497341156, propagate_forward_time: 1358.9079589844, propagate_backward_time: 2114.4621582031, weight_update_time: 2.3713550568, other_time: 30.9228515625
epoch time: 280.1676025391s, input_fired_time: 2.9327726364, output_fired_time: 0.0000000000, propagate_forward_time: 271.6543273926, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5805053711
validation[          , genome  9054] predictions:    5852/  10000 (58.52%), best:    5886/10000 (58.86%), error:     13098.84277, best error:     12402.84375 on epoch:    15, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 3545.5944824219s, input_fired_time: 23.9733257294, output_fired_time: 22.9974136353, propagate_forward_time: 1354.8469238281, propagate_backward_time: 2112.8007812500, weight_update_time: 2.3710858822, other_time: 30.9760742188
epoch time: 279.9096069336s, input_fired_time: 2.9447991848, output_fired_time: 0.0000000000, propagate_forward_time: 271.4309082031, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5339050293
validation[          , genome  9054] predictions:    5822/  10000 (58.22%), best:    5886/10000 (58.86%), error:     13110.38965, best error:     12402.84375 on epoch:    15, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 3550.7770996094s, input_fired_time: 23.9852085114, output_fired_time: 23.1056022644, propagate_forward_time: 1356.8100585938, propagate_backward_time: 2115.8574218750, weight_update_time: 2.3786931038, other_time: 31.0187988281
epoch time: 280.3461303711s, input_fired_time: 2.9296655655, output_fired_time: 0.0000000000, propagate_forward_time: 271.8702087402, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5462646484
validation[          , genome  9054] predictions:    5730/  10000 (57.30%), best:    5886/10000 (58.86%), error:     13077.27051, best error:     12402.84375 on epoch:    15, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 3552.0039062500s, input_fired_time: 24.0184478760, output_fired_time: 23.1428298950, propagate_forward_time: 1358.4829101563, propagate_backward_time: 2115.4450683594, weight_update_time: 2.3661537170, other_time: 30.9145507813
epoch time: 279.6702270508s, input_fired_time: 2.9503376484, output_fired_time: 0.0000000000, propagate_forward_time: 271.1347656250, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5851135254
validation[          , genome  9054] predictions:    5711/  10000 (57.11%), best:    5886/10000 (58.86%), error:     13660.44629, best error:     12402.84375 on epoch:    15, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 3548.2268066406s, input_fired_time: 24.0329151154, output_fired_time: 23.0689811707, propagate_forward_time: 1354.0828857422, propagate_backward_time: 2116.0417480469, weight_update_time: 2.3772206306, other_time: 31.0002441406
epoch time: 280.0126342773s, input_fired_time: 2.9505612850, output_fired_time: 0.0000000000, propagate_forward_time: 271.5062255859, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5558471680
validation[          , genome  9054] predictions:    5895/  10000 (58.95%), best:    5886/10000 (58.86%), error:     12973.11133, best error:     12402.84375 on epoch:    15, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 3546.3259277344s, input_fired_time: 24.1040668488, output_fired_time: 23.0950889587, propagate_forward_time: 1356.1190185547, propagate_backward_time: 2112.1379394531, weight_update_time: 2.3590192795, other_time: 30.8698730469
epoch time: 279.4096679688s, input_fired_time: 2.9198434353, output_fired_time: 0.0000000000, propagate_forward_time: 270.8918762207, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5979614258
validation[          , genome  9054] predictions:    5868/  10000 (58.68%), best:    5886/10000 (58.86%), error:     12464.86719, best error:     12402.84375 on epoch:    15, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 3548.3305664063s, input_fired_time: 24.1030788422, output_fired_time: 23.0282268524, propagate_forward_time: 1358.1354980469, propagate_backward_time: 2112.1389160156, weight_update_time: 2.3625979424, other_time: 30.9248046875
epoch time: 279.3699340820s, input_fired_time: 2.9345400333, output_fired_time: 0.0000000000, propagate_forward_time: 270.9158630371, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5195312500
validation[          , genome  9054] predictions:    5851/  10000 (58.51%), best:    5886/10000 (58.86%), error:     13621.40234, best error:     12402.84375 on epoch:    15, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 3546.7463378906s, input_fired_time: 24.1312217712, output_fired_time: 22.9832115173, propagate_forward_time: 1356.2252197266, propagate_backward_time: 2112.3151855469, weight_update_time: 2.3788068295, other_time: 31.0915527344
epoch time: 279.2745056152s, input_fired_time: 2.9821050167, output_fired_time: 0.0000000000, propagate_forward_time: 270.7224731445, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5699157715
validation[          , genome  9054] predictions:    5877/  10000 (58.77%), best:    5886/10000 (58.86%), error:     12794.97168, best error:     12402.84375 on epoch:    15, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

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_1532008504_144_9054.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1532008504_144_9054_1_r2084711696_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: 0.854079
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00346737
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000138695
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: 25
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 15
read number_validation_images: 10000
read best_validation_predictions: 5886
read best_validation_error: 12402.8
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: 9054
read normal distribution: '0 0.332115471363068 0.560627520084381'
generator_str: '437222640'
read generator: 437222640
read generated_by_map:
1 add_edge 1
reading 141 nodes.
reading 564 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: 3179.01440429688s, input_fired_time: 21.3578186035156, output_fired_time: 20.6308822631836, propagate_forward_time: 1217.84399414063, propagate_backward_time: 1890.53381347656, weight_update_time: 2.08827662467957, other_time: 28.6478271484375
epoch time: 251.638793945313s, input_fired_time: 2.62580800056458, output_fired_time: 0, propagate_forward_time: 242.056732177734, propagate_backward_time: 0, weight_update_time: 0, other_time: 6.95625305175781
validation[          , genome  9054] predictions:    5928/  10000 (59.28%), best:    5886/10000 (58.86%), error:     12476.29688, best error:     12402.84375 on epoch:    15, epoch:   25/25, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

evaluating best weights on full training data.
evaluting training set with running mean/variance:
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_1532008504_144_9054.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1532008504_144_9054_1_r2084711696_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: 0.860875
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.003294
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.00013176
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: 26
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 15
read number_validation_images: 10000
read best_validation_predictions: 5886
read best_validation_error: 12402.8
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: 9054
read normal distribution: '0 0.332115471363068 0.560627520084381'
generator_str: '1029479379'
read generator: 1029479379
read generated_by_map:
1 add_edge 1
reading 141 nodes.
reading 564 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: 3165.68432617188s, input_fired_time: 21.2951145172119, output_fired_time: 20.6117706298828, propagate_forward_time: 1212.87915039063, propagate_backward_time: 1885.26232910156, weight_update_time: 2.10426664352417, other_time: 25.6358642578125
epoch time: 248.156478881836s, input_fired_time: 2.62656879425049, output_fired_time: 0, propagate_forward_time: 240.962478637695, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.56742858886719
validation[          , genome  9054] predictions:    6138/  10000 (61.38%), best:    6138/10000 (61.38%), error:     11921.10352, best error:     11921.10352 on epoch:    26, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 1241.7983398438s, input_fired_time: 13.1573104858, output_fired_time: 0.0000000000, propagate_forward_time: 1205.9042968750, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 22.7366943359
best training[          , genome  9054] predictions:   34579/  50000 (69.16%), best:    6138/10000 (61.38%), error:     44998.97266, best error:     11921.10352 on epoch:    26, epoch:   27/25, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 248.1908569336s, input_fired_time: 2.6288285255, output_fired_time: 0.0000000000, propagate_forward_time: 241.0297241211, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5323028564
   testing[          , genome  9054] predictions:    6138/  10000 (61.38%), best:    6138/10000 (61.38%), error:     11921.10352, best error:     11921.10352 on epoch:    26, epoch:   27/25, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720
backpropagation finished successfully!
01:59:32 (5364): called boinc_finish(0)

</stderr_txt>
]]>