Nameexact_genome_1542727803_168_6412_0
Workunit4101234
Created20 Nov 2018, 19:20:03 UTC
Sent20 Nov 2018, 19:20:22 UTC
Report deadline17 Dec 2018, 5:06:38 UTC
Received22 Nov 2018, 5:27:41 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID21895
Run time6 hours 45 min 2 sec
CPU time6 hours 30 min 38 sec
Validate stateValid
Credit6,601.78
Device peak FLOPS4.29 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size523.32 MB
Peak swap size521.88 MB
Peak disk usage11.62 MB

Stderr output

<core_client_version>7.6.22</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_1542727803_168_6412.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_168_6412_0_r381810245_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542727803_168_6412.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: 6412
read normal distribution: '0 0.631144464015961 0.259143561124802'
generator_str: '133160178'
read generator: 133160178
read generated_by_map:
1 crossover 1
reading 95 nodes.
reading 409 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: 345151472
post shuffle 1: 853332894
epoch time: 980.203247070313s, input_fired_time: 9.43723392486572, output_fired_time: 7.33027219772339, propagate_forward_time: 389.315734863281, propagate_backward_time: 562.302917480469, weight_update_time: 1.19506919384003, other_time: 11.8170776367188
epoch time: 219.190963745117s, input_fired_time: 1.2227965593338, output_fired_time: 0, propagate_forward_time: 215.761505126953, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.2066650390625
validation[          , genome  6412] predictions:    5275/  10000 (52.75%), best:    5275/10000 (52.75%), error:     16061.63477, best error:     16061.63477 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 828.9376220703s, input_fired_time: 8.5400886536, output_fired_time: 6.6920771599, propagate_forward_time: 297.9918823242, propagate_backward_time: 504.9299316406, weight_update_time: 1.0978850126, other_time: 10.7836303711
epoch time: 62.1135482788s, input_fired_time: 1.0022053719, output_fired_time: 0.0000000000, propagate_forward_time: 59.3279953003, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7833480835
validation[          , genome  6412] predictions:    5086/  10000 (50.86%), best:    5275/10000 (52.75%), error:     17432.82031, best error:     16061.63477 on epoch:     0, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 839.4820556641s, input_fired_time: 8.5993394852, output_fired_time: 6.7532796860, propagate_forward_time: 301.5978698730, propagate_backward_time: 511.5912475586, weight_update_time: 1.1059136391, other_time: 10.9402465820
epoch time: 61.8198394775s, input_fired_time: 0.9833605289, output_fired_time: 0.0000000000, propagate_forward_time: 59.0631561279, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7733230591
validation[          , genome  6412] predictions:    5231/  10000 (52.31%), best:    5231/10000 (52.31%), error:     15686.93066, best error:     15686.93066 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 842.8154296875s, input_fired_time: 8.6250505447, output_fired_time: 6.7873048782, propagate_forward_time: 302.9754028320, propagate_backward_time: 513.4934082031, weight_update_time: 1.0962061882, other_time: 10.9342651367
epoch time: 63.0637550354s, input_fired_time: 1.0230561495, output_fired_time: 0.0000000000, propagate_forward_time: 60.2315101624, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8091888428
validation[          , genome  6412] predictions:    5165/  10000 (51.65%), best:    5231/10000 (52.31%), error:     15746.52051, best error:     15686.93066 on epoch:     2, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 842.4193115234s, input_fired_time: 8.7089395523, output_fired_time: 6.8521356583, propagate_forward_time: 301.8846130371, propagate_backward_time: 513.8541870117, weight_update_time: 1.1325299740, other_time: 11.1194458008
epoch time: 67.2001037598s, input_fired_time: 1.0927958488, output_fired_time: 0.0000000000, propagate_forward_time: 64.2156753540, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8916320801
validation[          , genome  6412] predictions:    5246/  10000 (52.46%), best:    5246/10000 (52.46%), error:     15424.29102, best error:     15424.29102 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 996.0651855469s, input_fired_time: 9.1494102478, output_fired_time: 17.5862522125, propagate_forward_time: 351.3629760742, propagate_backward_time: 606.2325439453, weight_update_time: 1.1822086573, other_time: 11.7340087891
epoch time: 65.0959396362s, input_fired_time: 1.0344693661, output_fired_time: 0.0000000000, propagate_forward_time: 62.2131195068, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8483505249
validation[          , genome  6412] predictions:    5480/  10000 (54.80%), best:    5480/10000 (54.80%), error:     14588.33105, best error:     14588.33105 on epoch:     5, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 863.2060546875s, input_fired_time: 8.6513156891, output_fired_time: 6.8370523453, propagate_forward_time: 302.4159545898, propagate_backward_time: 534.2495117188, weight_update_time: 1.1118263006, other_time: 11.0522460938
epoch time: 64.0837783813s, input_fired_time: 1.0543507338, output_fired_time: 0.0000000000, propagate_forward_time: 61.1992645264, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8301620483
validation[          , genome  6412] predictions:    5323/  10000 (53.23%), best:    5480/10000 (54.80%), error:     14730.83008, best error:     14588.33105 on epoch:     5, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 829.9478149414s, input_fired_time: 8.4975671768, output_fired_time: 6.8668837547, propagate_forward_time: 298.8229675293, propagate_backward_time: 504.9253845215, weight_update_time: 1.0979027748, other_time: 10.8349914551
epoch time: 63.2486457825s, input_fired_time: 1.0271962881, output_fired_time: 0.0000000000, propagate_forward_time: 60.4314002991, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7900505066
validation[          , genome  6412] predictions:    5623/  10000 (56.23%), best:    5623/10000 (56.23%), error:     13690.78809, best error:     13690.78809 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 873.2448730469s, input_fired_time: 8.6923809052, output_fired_time: 6.9594669342, propagate_forward_time: 311.9889831543, propagate_backward_time: 534.4376831055, weight_update_time: 1.1407365799, other_time: 11.1663208008
epoch time: 63.6488952637s, input_fired_time: 1.0226768255, output_fired_time: 0.0000000000, propagate_forward_time: 60.7953796387, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8308372498
validation[          , genome  6412] predictions:    5246/  10000 (52.46%), best:    5623/10000 (56.23%), error:     15447.43555, best error:     13690.78809 on epoch:     7, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 896.8204956055s, input_fired_time: 9.0782480240, output_fired_time: 7.0446023941, propagate_forward_time: 310.6748962402, propagate_backward_time: 558.6469116211, weight_update_time: 1.1379512548, other_time: 11.3757934570
epoch time: 62.0789604187s, input_fired_time: 1.0024915934, output_fired_time: 0.0000000000, propagate_forward_time: 59.3117294312, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7647399902
validation[          , genome  6412] predictions:    5420/  10000 (54.20%), best:    5623/10000 (56.23%), error:     14806.92090, best error:     13690.78809 on epoch:     7, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 852.3849487305s, input_fired_time: 8.6916313171, output_fired_time: 7.3089113235, propagate_forward_time: 303.4525756836, propagate_backward_time: 521.5842285156, weight_update_time: 1.1069145203, other_time: 11.3475952148
epoch time: 66.2864532471s, input_fired_time: 1.8185811043, output_fired_time: 0.0000000000, propagate_forward_time: 62.5380516052, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9298210144
validation[          , genome  6412] predictions:    5373/  10000 (53.73%), best:    5623/10000 (56.23%), error:     15264.19922, best error:     13690.78809 on epoch:     7, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 859.8222656250s, input_fired_time: 8.6828632355, output_fired_time: 6.8088269234, propagate_forward_time: 304.4012451172, propagate_backward_time: 528.7014160156, weight_update_time: 1.1115841866, other_time: 11.2279052734
epoch time: 62.0297584534s, input_fired_time: 1.0101557970, output_fired_time: 0.0000000000, propagate_forward_time: 59.2353973389, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7842063904
validation[          , genome  6412] predictions:    5482/  10000 (54.82%), best:    5623/10000 (56.23%), error:     14391.74902, best error:     13690.78809 on epoch:     7, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 932.0499267578s, input_fired_time: 8.8679485321, output_fired_time: 6.8996844292, propagate_forward_time: 337.5156555176, propagate_backward_time: 567.4998779297, weight_update_time: 1.1315850019, other_time: 11.2668457031
epoch time: 64.0307540894s, input_fired_time: 1.0530272722, output_fired_time: 0.0000000000, propagate_forward_time: 61.1371574402, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8405685425
validation[          , genome  6412] predictions:    5611/  10000 (56.11%), best:    5623/10000 (56.23%), error:     13869.58105, best error:     13690.78809 on epoch:     7, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 847.3078613281s, input_fired_time: 8.6436061859, output_fired_time: 6.7571239471, propagate_forward_time: 300.4778137207, propagate_backward_time: 520.3842163086, weight_update_time: 1.1025413275, other_time: 11.0451049805
epoch time: 62.3194503784s, input_fired_time: 1.0312877893, output_fired_time: 0.0000000000, propagate_forward_time: 59.4691810608, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8189811707
validation[          , genome  6412] predictions:    5726/  10000 (57.26%), best:    5726/10000 (57.26%), error:     13556.81152, best error:     13556.81152 on epoch:    13, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 894.7519531250s, input_fired_time: 8.9513282776, output_fired_time: 6.8716006279, propagate_forward_time: 332.8752441406, propagate_backward_time: 534.8282470703, weight_update_time: 1.1190822124, other_time: 11.2255249023
epoch time: 71.3731994629s, input_fired_time: 1.0934307575, output_fired_time: 0.0000000000, propagate_forward_time: 68.2477874756, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0319824219
validation[          , genome  6412] predictions:    5539/  10000 (55.39%), best:    5726/10000 (57.26%), error:     14023.36230, best error:     13556.81152 on epoch:    13, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 839.0064697266s, input_fired_time: 8.6104955673, output_fired_time: 6.7171664238, propagate_forward_time: 297.4291076660, propagate_backward_time: 515.4338989258, weight_update_time: 1.0934091806, other_time: 10.8158569336
epoch time: 62.6980285645s, input_fired_time: 1.0605399609, output_fired_time: 0.0000000000, propagate_forward_time: 59.8502082825, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7872810364
validation[          , genome  6412] predictions:    5628/  10000 (56.28%), best:    5726/10000 (57.26%), error:     13714.10840, best error:     13556.81152 on epoch:    13, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 831.2885131836s, input_fired_time: 8.6128807068, output_fired_time: 6.7052764893, propagate_forward_time: 298.0878295898, propagate_backward_time: 507.0301818848, weight_update_time: 1.0915035009, other_time: 10.8523864746
epoch time: 62.3347702026s, input_fired_time: 1.0384397507, output_fired_time: 0.0000000000, propagate_forward_time: 59.5221176147, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7742118835
validation[          , genome  6412] predictions:    5574/  10000 (55.74%), best:    5726/10000 (57.26%), error:     14007.69531, best error:     13556.81152 on epoch:    13, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

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_1542727803_168_6412.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_168_6412_0_r381810245_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: 0.785121
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0052265
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.00020906
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: 17
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 13
read number_validation_images: 10000
read best_validation_predictions: 5726
read best_validation_error: 13556.8
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: 6412
read normal distribution: '0 0.631144464015961 0.259143561124802'
generator_str: '1025151932'
read generator: 1025151932
read generated_by_map:
1 crossover 1
reading 95 nodes.
reading 409 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: 841.65283203125s, input_fired_time: 8.81197261810303, output_fired_time: 6.78098154067993, propagate_forward_time: 301.707153320313, propagate_backward_time: 513.522705078125, weight_update_time: 1.09615051746368, other_time: 10.8300170898438
epoch time: 62.1853942871094s, input_fired_time: 1.03410494327545, output_fired_time: 0, propagate_forward_time: 59.3761215209961, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.77516937255859
validation[          , genome  6412] predictions:    5912/  10000 (59.12%), best:    5912/10000 (59.12%), error:     12271.18457, best error:     12271.18457 on epoch:    17, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 828.7874145508s, input_fired_time: 8.6118583679, output_fired_time: 6.7050032616, propagate_forward_time: 297.4407043457, propagate_backward_time: 505.2688903809, weight_update_time: 1.0957870483, other_time: 10.7608947754
epoch time: 61.8721313477s, input_fired_time: 1.0300843716, output_fired_time: 0.0000000000, propagate_forward_time: 59.0829544067, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7590942383
validation[          , genome  6412] predictions:    5855/  10000 (58.55%), best:    5912/10000 (59.12%), error:     12807.23633, best error:     12271.18457 on epoch:    17, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

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_1542727803_168_6412.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_168_6412_0_r381810245_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: 0.805097
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00471692
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000188677
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: 19
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 17
read number_validation_images: 10000
read best_validation_predictions: 5912
read best_validation_error: 12271.2
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: 6412
read normal distribution: '0 0.631144464015961 0.259143561124802'
generator_str: '1803707233'
read generator: 1803707233
read generated_by_map:
1 crossover 1
reading 95 nodes.
reading 409 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: 1139.04370117188s, input_fired_time: 41.6016845703125, output_fired_time: 7.4909200668335, propagate_forward_time: 385.751342773438, propagate_backward_time: 692.610107421875, weight_update_time: 1.17240750789642, other_time: 11.589599609375
epoch time: 62.3972320556641s, input_fired_time: 1.0258857011795, output_fired_time: 0, propagate_forward_time: 59.5993461608887, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.77199935913086
validation[          , genome  6412] predictions:    5668/  10000 (56.68%), best:    5912/10000 (59.12%), error:     13372.67871, best error:     12271.18457 on epoch:    17, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1089.6618652344s, input_fired_time: 8.9389982224, output_fired_time: 6.8745450974, propagate_forward_time: 471.6300048828, propagate_backward_time: 591.2042846680, weight_update_time: 1.1116555929, other_time: 11.0140991211
epoch time: 62.6104164124s, input_fired_time: 1.0463702679, output_fired_time: 0.0000000000, propagate_forward_time: 59.7707061768, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7933387756
validation[          , genome  6412] predictions:    5797/  10000 (57.97%), best:    5912/10000 (59.12%), error:     13254.13672, best error:     12271.18457 on epoch:    17, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 822.6715087891s, input_fired_time: 8.6314582825, output_fired_time: 6.6686320305, propagate_forward_time: 295.2836303711, propagate_backward_time: 501.4400634766, weight_update_time: 1.0982589722, other_time: 10.6477050781
epoch time: 61.4865608215s, input_fired_time: 1.0427809954, output_fired_time: 0.0000000000, propagate_forward_time: 58.7025070190, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7412719727
validation[          , genome  6412] predictions:    5461/  10000 (54.61%), best:    5912/10000 (59.12%), error:     14572.65137, best error:     12271.18457 on epoch:    17, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 818.0527954102s, input_fired_time: 8.5851936340, output_fired_time: 6.6116394997, propagate_forward_time: 293.6585693359, propagate_backward_time: 498.6130065918, weight_update_time: 1.0836743116, other_time: 10.5843811035
epoch time: 61.4792137146s, input_fired_time: 1.0339130163, output_fired_time: 0.0000000000, propagate_forward_time: 58.6989212036, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7463798523
validation[          , genome  6412] predictions:    5922/  10000 (59.22%), best:    5912/10000 (59.12%), error:     12767.64551, best error:     12271.18457 on epoch:    17, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 817.8251342773s, input_fired_time: 8.5911207199, output_fired_time: 6.6121554375, propagate_forward_time: 293.5795898438, propagate_backward_time: 498.5028381348, weight_update_time: 1.0820972919, other_time: 10.5393981934
epoch time: 61.4619064331s, input_fired_time: 1.0404694080, output_fired_time: 0.0000000000, propagate_forward_time: 58.6788940430, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7425422668
validation[          , genome  6412] predictions:    5832/  10000 (58.32%), best:    5912/10000 (59.12%), error:     12836.98535, best error:     12271.18457 on epoch:    17, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 817.5855102539s, input_fired_time: 8.5861949921, output_fired_time: 6.6135272980, propagate_forward_time: 293.4354248047, propagate_backward_time: 498.3759460449, weight_update_time: 1.0840649605, other_time: 10.5744323730
epoch time: 61.5024147034s, input_fired_time: 1.0442725420, output_fired_time: 0.0000000000, propagate_forward_time: 58.7051277161, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7530136108
validation[          , genome  6412] predictions:    5807/  10000 (58.07%), best:    5912/10000 (59.12%), error:     13090.08789, best error:     12271.18457 on epoch:    17, 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_1542727803_168_6412.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_168_6412_0_r381810245_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: 17
read number_validation_images: 10000
read best_validation_predictions: 5912
read best_validation_error: 12271.2
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: 6412
read normal distribution: '0 0.631144464015961 0.259143561124802'
generator_str: '1241471118'
read generator: 1241471118
read generated_by_map:
1 crossover 1
reading 95 nodes.
reading 409 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: 1161.62890625s, input_fired_time: 8.74385356903076, output_fired_time: 6.75960206985474, propagate_forward_time: 412.188690185547, propagate_backward_time: 723.140258789063, weight_update_time: 1.09275937080383, other_time: 10.79638671875
epoch time: 61.3749847412109s, input_fired_time: 1.04409551620483, output_fired_time: 0, propagate_forward_time: 58.5952529907227, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.73563766479492
validation[          , genome  6412] predictions:    6010/  10000 (60.10%), best:    5912/10000 (59.12%), error:     12381.84863, best error:     12271.18457 on epoch:    17, epoch:   25/25, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 309.7584838867s, input_fired_time: 5.1646676064, output_fired_time: 0.0000000000, propagate_forward_time: 295.7580566406, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.8357543945
best training[          , genome  6412] predictions:   33149/  50000 (66.30%), best:    5912/10000 (59.12%), error:     49674.44141, best error:     12271.18457 on epoch:    17, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 61.0907249451s, input_fired_time: 1.0178469419, output_fired_time: 0.0000000000, propagate_forward_time: 58.3421325684, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7307472229
   testing[          , genome  6412] predictions:    5912/  10000 (59.12%), best:    5912/10000 (59.12%), error:     12271.18457, best error:     12271.18457 on epoch:    17, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
22:27:05 (7356): called boinc_finish(0)

</stderr_txt>
]]>