Nameexact_genome_1542692703_175_6397_1
Workunit4100919
Created20 Nov 2018, 11:34:50 UTC
Sent20 Nov 2018, 12:12:08 UTC
Report deadline8 Jan 2019, 2:53:50 UTC
Received21 Nov 2018, 14:23:25 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID10687
Run time18 hours 26 min 41 sec
CPU time18 hours 19 min 31 sec
Validate stateValid
Credit12,153.07
Device peak FLOPS4.69 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size517.71 MB
Peak swap size516.04 MB
Peak disk usage9.86 MB

Stderr output

<core_client_version>7.4.42</core_client_version>
<![CDATA[
<stderr_txt>
1.1748046875s, input_fired_time: 11.3807964325, output_fired_time: 9.0777206421, propagate_forward_time: 457.1085815430, propagate_backward_time: 780.3916625977, weight_update_time: 1.3337597847, other_time: 13.2160644531
epoch time: 94.7264785767s, input_fired_time: 1.2851393223, output_fired_time: 0.0000000000, propagate_forward_time: 91.0824661255, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3588714600
validation[          , genome  6397] predictions:    5308/  10000 (53.08%), best:    5378/10000 (53.78%), error:     14524.99902, best error:     14503.80762 on epoch:     4, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1288.7788085938s, input_fired_time: 11.4483804703, output_fired_time: 9.1784095764, propagate_forward_time: 463.6116943359, propagate_backward_time: 791.1087036133, weight_update_time: 1.3513334990, other_time: 13.4315795898
epoch time: 96.9656448364s, input_fired_time: 1.3289401531, output_fired_time: 0.0000000000, propagate_forward_time: 93.2842788696, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3524246216
validation[          , genome  6397] predictions:    5294/  10000 (52.94%), best:    5378/10000 (53.78%), error:     15130.83008, best error:     14503.80762 on epoch:     4, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1276.0377197266s, input_fired_time: 11.4127063751, output_fired_time: 10.1309032440, propagate_forward_time: 459.7322082520, propagate_backward_time: 781.8319702148, weight_update_time: 1.2812265158, other_time: 12.9299926758
epoch time: 95.8053970337s, input_fired_time: 1.3150891066, output_fired_time: 0.0000000000, propagate_forward_time: 92.1483840942, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3419265747
validation[          , genome  6397] predictions:    5436/  10000 (54.36%), best:    5436/10000 (54.36%), error:     14321.86523, best error:     14321.86523 on epoch:     7, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1283.1746826172s, input_fired_time: 11.4297971725, output_fired_time: 9.2120771408, propagate_forward_time: 461.7744140625, propagate_backward_time: 788.4344482422, weight_update_time: 1.2222670317, other_time: 12.3239746094
epoch time: 96.6000747681s, input_fired_time: 1.2891432047, output_fired_time: 0.0000000000, propagate_forward_time: 92.9225082397, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3884201050
validation[          , genome  6397] predictions:    5256/  10000 (52.56%), best:    5436/10000 (54.36%), error:     15402.74805, best error:     14321.86523 on epoch:     7, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1285.2800292969s, input_fired_time: 11.3995819092, output_fired_time: 13.9075317383, propagate_forward_time: 462.4136352539, propagate_backward_time: 785.5959472656, weight_update_time: 1.1641385555, other_time: 11.9633178711
epoch time: 95.7069473267s, input_fired_time: 1.3158664703, output_fired_time: 0.0000000000, propagate_forward_time: 92.0812911987, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3097915649
validation[          , genome  6397] predictions:    5712/  10000 (57.12%), best:    5712/10000 (57.12%), error:     13268.88965, best error:     13268.88965 on epoch:     9, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1272.5726318359s, input_fired_time: 11.3202857971, output_fired_time: 9.1481714249, propagate_forward_time: 456.3260192871, propagate_backward_time: 782.8384399414, weight_update_time: 1.2737728357, other_time: 12.9396362305
epoch time: 94.3987808228s, input_fired_time: 1.2720674276, output_fired_time: 0.0000000000, propagate_forward_time: 90.7737503052, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3529663086
validation[          , genome  6397] predictions:    5309/  10000 (53.09%), best:    5712/10000 (57.12%), error:     14974.47070, best error:     13268.88965 on epoch:     9, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1274.3851318359s, input_fired_time: 11.3484563828, output_fired_time: 9.1989059448, propagate_forward_time: 458.3408813477, propagate_backward_time: 782.2139282227, weight_update_time: 1.3507900238, other_time: 13.2829589844
epoch time: 101.3624420166s, input_fired_time: 1.2757966518, output_fired_time: 0.0000000000, propagate_forward_time: 97.7428817749, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3437652588
validation[          , genome  6397] predictions:    5488/  10000 (54.88%), best:    5712/10000 (57.12%), error:     13754.90137, best error:     13268.88965 on epoch:     9, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1286.8320312500s, input_fired_time: 11.4426145554, output_fired_time: 9.1042385101, propagate_forward_time: 459.7884216309, propagate_backward_time: 793.6403198242, weight_update_time: 1.2763516903, other_time: 12.8563842773
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_1542692703_175_6397.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_175_6397_1_r1375146623_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: 0.725224
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0067545
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.00027018
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: 12
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 9
read number_validation_images: 10000
read best_validation_predictions: 5712
read best_validation_error: 13268.9
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6397
read normal distribution: '1 0.119318395853043 0.460173428058624'
generator_str: '880610486'
read generator: 880610486
read generated_by_map:
1 change_size 1
reading 81 nodes.
reading 301 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: 1243.78173828125s, input_fired_time: 11.0707569122314, output_fired_time: 9.00889778137207, propagate_forward_time: 447.525482177734, propagate_backward_time: 762.977478027344, weight_update_time: 1.30745923519135, other_time: 13.1990356445313
epoch time: 95.0826263427734s, input_fired_time: 1.27318847179413, output_fired_time: 0, propagate_forward_time: 91.4927673339844, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.31667327880859
validation[          , genome  6397] predictions:    5671/  10000 (56.71%), best:    5712/10000 (57.12%), error:     13658.71289, best error:     13268.88965 on epoch:     9, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1260.7650146484s, input_fired_time: 11.2740068436, output_fired_time: 9.0684137344, propagate_forward_time: 454.4239501953, propagate_backward_time: 772.4742431641, weight_update_time: 1.3406236172, other_time: 13.5244140625
epoch time: 98.8759765625s, input_fired_time: 1.2832410336, output_fired_time: 0.0000000000, propagate_forward_time: 95.2247238159, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3680114746
validation[          , genome  6397] predictions:    5431/  10000 (54.31%), best:    5712/10000 (57.12%), error:     14081.62207, best error:     13268.88965 on epoch:     9, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1257.3608398438s, input_fired_time: 11.2218580246, output_fired_time: 9.0215463638, propagate_forward_time: 452.7073364258, propagate_backward_time: 771.6713867188, weight_update_time: 1.2580194473, other_time: 12.7387084961
epoch time: 95.3509292603s, input_fired_time: 1.2953964472, output_fired_time: 0.0000000000, propagate_forward_time: 91.6854095459, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3701248169
validation[          , genome  6397] predictions:    5211/  10000 (52.11%), best:    5712/10000 (57.12%), error:     15358.04980, best error:     13268.88965 on epoch:     9, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1264.6458740234s, input_fired_time: 11.3086271286, output_fired_time: 9.1862735748, propagate_forward_time: 455.4465942383, propagate_backward_time: 775.6229858398, weight_update_time: 1.3241273165, other_time: 13.0814208984
epoch time: 93.8718719482s, input_fired_time: 1.3033726215, output_fired_time: 0.0000000000, propagate_forward_time: 90.2153778076, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3531188965
validation[          , genome  6397] predictions:    5406/  10000 (54.06%), best:    5712/10000 (57.12%), error:     14479.92676, best error:     13268.88965 on epoch:     9, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1261.9589843750s, input_fired_time: 11.3443622589, output_fired_time: 9.1042633057, propagate_forward_time: 454.7798156738, propagate_backward_time: 773.4467773438, weight_update_time: 1.3281128407, other_time: 13.2838134766
epoch time: 95.0547790527s, input_fired_time: 1.3181248903, output_fired_time: 0.0000000000, propagate_forward_time: 91.3829956055, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3536605835
validation[          , genome  6397] predictions:    5777/  10000 (57.77%), best:    5777/10000 (57.77%), error:     12605.48340, best error:     12605.48340 on epoch:    16, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1275.0942382813s, input_fired_time: 11.5518293381, output_fired_time: 9.1842851639, propagate_forward_time: 462.8834533691, propagate_backward_time: 779.5260009766, weight_update_time: 1.1586465836, other_time: 11.9486083984
epoch time: 99.7762222290s, input_fired_time: 1.2926352024, output_fired_time: 0.0000000000, propagate_forward_time: 96.1609954834, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3225936890
validation[          , genome  6397] predictions:    5385/  10000 (53.85%), best:    5777/10000 (57.77%), error:     15020.62891, best error:     12605.48340 on epoch:    16, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1266.6046142578s, input_fired_time: 11.3487510681, output_fired_time: 9.0139112473, propagate_forward_time: 454.5346984863, propagate_backward_time: 778.3221435547, weight_update_time: 1.3378992081, other_time: 13.3851318359
epoch time: 95.0341110229s, input_fired_time: 1.3045010567, output_fired_time: 0.0000000000, propagate_forward_time: 91.2103424072, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5192642212
validation[          , genome  6397] predictions:    5790/  10000 (57.90%), best:    5777/10000 (57.77%), error:     13028.14258, best error:     12605.48340 on epoch:    16, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1265.5749511719s, input_fired_time: 11.2608356476, output_fired_time: 9.0100393295, propagate_forward_time: 450.7705078125, propagate_backward_time: 781.1812133789, weight_update_time: 1.3938851357, other_time: 13.3523559570
epoch time: 94.4984588623s, input_fired_time: 1.3087166548, output_fired_time: 0.0000000000, propagate_forward_time: 90.8461151123, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3436279297
validation[          , genome  6397] predictions:    5311/  10000 (53.11%), best:    5777/10000 (57.77%), error:     15132.94043, best error:     12605.48340 on epoch:    16, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1270.0920410156s, input_fired_time: 11.4098682404, output_fired_time: 9.1612281799, propagate_forward_time: 456.9823608398, propagate_backward_time: 780.5907592773, weight_update_time: 1.1770577431, other_time: 11.9477539063
epoch time: 95.1916961670s, input_fired_time: 1.3164081573, output_fired_time: 0.0000000000, propagate_forward_time: 91.5558319092, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3194580078
validation[          , genome  6397] predictions:    5687/  10000 (56.87%), best:    5777/10000 (57.77%), error:     13320.97168, best error:     12605.48340 on epoch:    16, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1269.7974853516s, input_fired_time: 11.4516048431, output_fired_time: 9.1330661774, propagate_forward_time: 459.5253906250, propagate_backward_time: 777.2765502930, weight_update_time: 1.2120177746, other_time: 12.4108276367
epoch time: 94.7518081665s, input_fired_time: 1.2960869074, output_fired_time: 0.0000000000, propagate_forward_time: 91.1374664307, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3182525635
validation[          , genome  6397] predictions:    5688/  10000 (56.88%), best:    5777/10000 (57.77%), error:     13631.04980, best error:     12605.48340 on epoch:    16, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1254.3227539063s, input_fired_time: 11.3044395447, output_fired_time: 8.9748048782, propagate_forward_time: 448.7520446777, propagate_backward_time: 772.1114501953, weight_update_time: 1.3161823750, other_time: 13.1799316406
epoch time: 93.2725677490s, input_fired_time: 1.2990301847, output_fired_time: 0.0000000000, propagate_forward_time: 89.6476440430, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3258972168
validation[          , genome  6397] predictions:    5588/  10000 (55.88%), best:    5777/10000 (57.77%), error:     13691.12500, best error:     12605.48340 on epoch:    16, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1264.2158203125s, input_fired_time: 11.4499683380, output_fired_time: 9.1227083206, propagate_forward_time: 457.9232482910, propagate_backward_time: 773.7824707031, weight_update_time: 1.1842662096, other_time: 11.9375000000
epoch time: 94.2281036377s, input_fired_time: 1.3103580475, output_fired_time: 0.0000000000, propagate_forward_time: 90.6300735474, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2876739502
validation[          , genome  6397] predictions:    5823/  10000 (58.23%), best:    5777/10000 (57.77%), error:     12716.64258, best error:     12605.48340 on epoch:    16, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1255.5322265625s, input_fired_time: 11.3699331284, output_fired_time: 8.9624452591, propagate_forward_time: 455.3264160156, propagate_backward_time: 766.6137695313, weight_update_time: 1.3226917982, other_time: 13.2597656250
epoch time: 93.6243896484s, input_fired_time: 1.3287410736, output_fired_time: 0.0000000000, propagate_forward_time: 89.9313201904, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3643264771
validation[          , genome  6397] predictions:    5853/  10000 (58.53%), best:    5777/10000 (57.77%), error:     12771.93848, best error:     12605.48340 on epoch:    16, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1263.4937744141s, input_fired_time: 11.3691015244, output_fired_time: 8.9925193787, propagate_forward_time: 458.1759948730, propagate_backward_time: 772.9806518555, weight_update_time: 1.1666543484, other_time: 11.9754028320
epoch time: 93.3458480835s, input_fired_time: 1.2992603779, output_fired_time: 0.0000000000, propagate_forward_time: 89.7207183838, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3258666992
validation[          , genome  6397] predictions:    5726/  10000 (57.26%), best:    5777/10000 (57.77%), error:     13497.26465, best error:     12605.48340 on epoch:    16, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 1171.9138183594s, input_fired_time: 10.6775999069, output_fired_time: 8.3989276886, propagate_forward_time: 421.3699035645, propagate_backward_time: 719.1500244141, weight_update_time: 1.2174706459, other_time: 12.3173828125
epoch time: 84.0041503906s, input_fired_time: 1.2001985312, output_fired_time: 0.0000000000, propagate_forward_time: 80.7024612427, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1014938354
validation[          , genome  6397] predictions:    5586/  10000 (55.86%), best:    5777/10000 (57.77%), error:     13838.95996, best error:     12605.48340 on epoch:    16, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 1118.4122314453s, input_fired_time: 10.1982545853, output_fired_time: 8.0195426941, propagate_forward_time: 401.7346496582, propagate_backward_time: 686.6852416992, weight_update_time: 1.1523381472, other_time: 11.7745971680
epoch time: 83.9567413330s, input_fired_time: 1.2093394995, output_fired_time: 0.0000000000, propagate_forward_time: 80.6331634521, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1142349243
validation[          , genome  6397] predictions:    5974/  10000 (59.74%), best:    5974/10000 (59.74%), error:     12264.10645, best error:     12264.10645 on epoch:    27, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

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_1542692703_175_6397.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_175_6397_1_r1375146623_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: 0.873465
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00297283
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000118913
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: 28
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 27
read number_validation_images: 10000
read best_validation_predictions: 5974
read best_validation_error: 12264.1
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: 6397
read normal distribution: '1 0.119318395853043 0.460173428058624'
generator_str: '1698685647'
read generator: 1698685647
read generated_by_map:
1 change_size 1
reading 81 nodes.
reading 301 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: 1081.04675292969s, input_fired_time: 9.85438537597656, output_fired_time: 7.7555570602417, propagate_forward_time: 388.434844970703, propagate_backward_time: 663.538391113281, weight_update_time: 1.11325585842133, other_time: 11.4635620117188
epoch time: 84.3621063232422s, input_fired_time: 1.22094094753265, output_fired_time: 0, propagate_forward_time: 81.0093536376953, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.13181304931641
validation[          , genome  6397] predictions:    5835/  10000 (58.35%), best:    5974/10000 (59.74%), error:     12863.35742, best error:     12264.10645 on epoch:    27, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

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_1542692703_175_6397.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_175_6397_1_r1375146623_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: 0.879292
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00282419
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000112968
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: 29
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 27
read number_validation_images: 10000
read best_validation_predictions: 5974
read best_validation_error: 12264.1
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: 6397
read normal distribution: '1 0.119318395853043 0.460173428058624'
generator_str: '321925675'
read generator: 321925675
read generated_by_map:
1 change_size 1
reading 81 nodes.
reading 301 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: 1090.1123046875s, input_fired_time: 9.94529342651367, output_fired_time: 7.85852575302124, propagate_forward_time: 391.036560058594, propagate_backward_time: 669.774108886719, weight_update_time: 1.12206029891968, other_time: 11.497802734375
epoch time: 83.7473526000977s, input_fired_time: 1.20007157325745, output_fired_time: 0, propagate_forward_time: 80.4375305175781, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.10974884033203
validation[          , genome  6397] predictions:    5929/  10000 (59.29%), best:    5974/10000 (59.74%), error:     12597.51758, best error:     12264.10645 on epoch:    27, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 1114.0588378906s, input_fired_time: 10.1925296783, output_fired_time: 8.0053052902, propagate_forward_time: 399.9028930664, propagate_backward_time: 684.3386840820, weight_update_time: 1.1439362764, other_time: 11.6195068359
epoch time: 83.7190551758s, input_fired_time: 1.1492177248, output_fired_time: 0.0000000000, propagate_forward_time: 80.4407882690, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1290512085
validation[          , genome  6397] predictions:    5593/  10000 (55.93%), best:    5974/10000 (59.74%), error:     13632.57227, best error:     12264.10645 on epoch:    27, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 1109.5235595703s, input_fired_time: 10.1331644058, output_fired_time: 7.9529571533, propagate_forward_time: 397.9770812988, propagate_backward_time: 681.8748168945, weight_update_time: 1.1374173164, other_time: 11.5855102539
epoch time: 83.9557952881s, input_fired_time: 1.1734378338, output_fired_time: 0.0000000000, propagate_forward_time: 80.6601562500, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1222000122
validation[          , genome  6397] predictions:    5482/  10000 (54.82%), best:    5974/10000 (59.74%), error:     14280.15723, best error:     12264.10645 on epoch:    27, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1115.0250244141s, input_fired_time: 10.2360525131, output_fired_time: 8.0200147629, propagate_forward_time: 401.2835388184, propagate_backward_time: 683.8457031250, weight_update_time: 1.1470345259, other_time: 11.6396484375
epoch time: 83.2305450439s, input_fired_time: 1.1889832020, output_fired_time: 0.0000000000, propagate_forward_time: 79.9235763550, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1179885864
validation[          , genome  6397] predictions:    5906/  10000 (59.06%), best:    5974/10000 (59.74%), error:     12722.52637, best error:     12264.10645 on epoch:    27, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1109.8344726563s, input_fired_time: 10.1979045868, output_fired_time: 7.9521541595, propagate_forward_time: 399.0622558594, propagate_backward_time: 681.0147705078, weight_update_time: 1.1402493715, other_time: 11.6074218750
epoch time: 83.8431320190s, input_fired_time: 1.1796529293, output_fired_time: 0.0000000000, propagate_forward_time: 80.5404281616, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1230545044
validation[          , genome  6397] predictions:    5830/  10000 (58.30%), best:    5974/10000 (59.74%), error:     13123.09863, best error:     12264.10645 on epoch:    27, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1119.3115234375s, input_fired_time: 10.2965345383, output_fired_time: 8.0122022629, propagate_forward_time: 402.1898193359, propagate_backward_time: 687.1085205078, weight_update_time: 1.1552152634, other_time: 11.7044677734
epoch time: 84.2412033081s, input_fired_time: 1.2019829750, output_fired_time: 0.0000000000, propagate_forward_time: 80.9335021973, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1057205200
validation[          , genome  6397] predictions:    6016/  10000 (60.16%), best:    5974/10000 (59.74%), error:     12384.06543, best error:     12264.10645 on epoch:    27, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1115.9639892578s, input_fired_time: 10.2712116241, output_fired_time: 7.9610514641, propagate_forward_time: 401.2467651367, propagate_backward_time: 684.7838745117, weight_update_time: 1.1566166878, other_time: 11.7010498047
epoch time: 83.5238647461s, input_fired_time: 1.2080252171, output_fired_time: 0.0000000000, propagate_forward_time: 80.2014617920, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1143798828
validation[          , genome  6397] predictions:    5854/  10000 (58.54%), best:    5974/10000 (59.74%), error:     13100.04199, best error:     12264.10645 on epoch:    27, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1118.2030029297s, input_fired_time: 10.2988481522, output_fired_time: 8.0226697922, propagate_forward_time: 401.0599670410, propagate_backward_time: 687.1478271484, weight_update_time: 1.1505092382, other_time: 11.6737060547
epoch time: 84.3577728271s, input_fired_time: 1.2135186195, output_fired_time: 0.0000000000, propagate_forward_time: 81.0281982422, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1160583496
validation[          , genome  6397] predictions:    5883/  10000 (58.83%), best:    5974/10000 (59.74%), error:     12451.42773, best error:     12264.10645 on epoch:    27, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1120.2720947266s, input_fired_time: 10.3475885391, output_fired_time: 8.0401554108, propagate_forward_time: 402.8080444336, propagate_backward_time: 687.3818969727, weight_update_time: 1.1542885303, other_time: 11.6944580078
epoch time: 84.4372100830s, input_fired_time: 1.2014930248, output_fired_time: 0.0000000000, propagate_forward_time: 81.1160507202, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1196670532
validation[          , genome  6397] predictions:    5820/  10000 (58.20%), best:    5974/10000 (59.74%), error:     13143.55469, best error:     12264.10645 on epoch:    27, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1122.2066650391s, input_fired_time: 10.3821334839, output_fired_time: 8.0508527756, propagate_forward_time: 402.8599853516, propagate_backward_time: 689.2270507813, weight_update_time: 1.1534445286, other_time: 11.6866455078
epoch time: 84.1936798096s, input_fired_time: 1.2129939795, output_fired_time: 0.0000000000, propagate_forward_time: 80.8670043945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1136779785
validation[          , genome  6397] predictions:    5656/  10000 (56.56%), best:    5974/10000 (59.74%), error:     13608.37305, best error:     12264.10645 on epoch:    27, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1126.9724121094s, input_fired_time: 10.4520912170, output_fired_time: 8.0677795410, propagate_forward_time: 405.2089233398, propagate_backward_time: 691.4421997070, weight_update_time: 1.1602427959, other_time: 11.8013916016
epoch time: 84.6995391846s, input_fired_time: 1.2284668684, output_fired_time: 0.0000000000, propagate_forward_time: 81.3198776245, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1511917114
validation[          , genome  6397] predictions:    5967/  10000 (59.67%), best:    5974/10000 (59.74%), error:     12583.30957, best error:     12264.10645 on epoch:    27, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1134.9669189453s, input_fired_time: 10.4828319550, output_fired_time: 8.1357879639, propagate_forward_time: 407.5687561035, propagate_backward_time: 696.9559326172, weight_update_time: 1.1898950338, other_time: 11.8237304688
epoch time: 85.4639663696s, input_fired_time: 1.2285696268, output_fired_time: 0.0000000000, propagate_forward_time: 82.1076049805, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1277923584
validation[          , genome  6397] predictions:    6037/  10000 (60.37%), best:    5974/10000 (59.74%), error:     12367.92773, best error:     12264.10645 on epoch:    27, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1139.3466796875s, input_fired_time: 10.5582408905, output_fired_time: 8.1767253876, propagate_forward_time: 409.3716430664, propagate_backward_time: 699.4486083984, weight_update_time: 1.1654790640, other_time: 11.7914428711
epoch time: 85.5863647461s, input_fired_time: 1.2160996199, output_fired_time: 0.0000000000, propagate_forward_time: 82.2233505249, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1469116211
validation[          , genome  6397] predictions:    5847/  10000 (58.47%), best:    5974/10000 (59.74%), error:     12851.73242, best error:     12264.10645 on epoch:    27, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1139.5288085938s, input_fired_time: 10.5652484894, output_fired_time: 8.1814727783, propagate_forward_time: 409.1311035156, propagate_backward_time: 699.8915405273, weight_update_time: 1.1646777391, other_time: 11.7593383789
epoch time: 85.3841934204s, input_fired_time: 1.2511664629, output_fired_time: 0.0000000000, propagate_forward_time: 81.9996032715, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1334228516
validation[          , genome  6397] predictions:    5971/  10000 (59.71%), best:    5974/10000 (59.74%), error:     12476.52441, best error:     12264.10645 on epoch:    27, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1139.6737060547s, input_fired_time: 10.5998134613, output_fired_time: 8.1929340363, propagate_forward_time: 409.8501586914, propagate_backward_time: 699.2109375000, weight_update_time: 1.1713184118, other_time: 11.8197631836
epoch time: 85.4520874023s, input_fired_time: 1.2434353828, output_fired_time: 0.0000000000, propagate_forward_time: 82.0515289307, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1571197510
validation[          , genome  6397] predictions:    6017/  10000 (60.17%), best:    5974/10000 (59.74%), error:     12530.18945, best error:     12264.10645 on epoch:    27, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1140.5794677734s, input_fired_time: 10.6021223068, output_fired_time: 8.2052612305, propagate_forward_time: 409.2553405762, propagate_backward_time: 700.6784057617, weight_update_time: 1.1744607687, other_time: 11.8381958008
epoch time: 85.6514434814s, input_fired_time: 1.2511417866, output_fired_time: 0.0000000000, propagate_forward_time: 82.2609481812, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1393508911
validation[          , genome  6397] predictions:    6148/  10000 (61.48%), best:    6148/10000 (61.48%), error:     11934.84961, best error:     11934.84961 on epoch:    44, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1140.5506591797s, input_fired_time: 10.6167411804, output_fired_time: 8.1700220108, propagate_forward_time: 410.2387390137, propagate_backward_time: 699.6303100586, weight_update_time: 1.1688691378, other_time: 11.8948364258
epoch time: 85.5983428955s, input_fired_time: 1.2485435009, output_fired_time: 0.0000000000, propagate_forward_time: 82.2115631104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1382369995
validation[          , genome  6397] predictions:    6162/  10000 (61.62%), best:    6162/10000 (61.62%), error:     11887.67188, best error:     11887.67188 on epoch:    45, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

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_1542692703_175_6397.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_175_6397_1_r1375146623_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: 0.943711
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00118085
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.72341e-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: 46
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 45
read number_validation_images: 10000
read best_validation_predictions: 6162
read best_validation_error: 11887.7
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: 6397
read normal distribution: '1 0.119318395853043 0.460173428058624'
generator_str: '888650433'
read generator: 888650433
read generated_by_map:
1 change_size 1
reading 81 nodes.
reading 301 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_1542692703_175_6397.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_175_6397_1_r1375146623_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: 0.943711
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00118085
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.72341e-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: 46
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 45
read number_validation_images: 10000
read best_validation_predictions: 6162
read best_validation_error: 11887.7
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: 6397
read normal distribution: '1 0.119318395853043 0.460173428058624'
generator_str: '888650433'
read generator: 888650433
read generated_by_map:
1 change_size 1
reading 81 nodes.
reading 301 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_1542692703_175_6397.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_175_6397_1_r1375146623_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: 0.943711
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00118085
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.72341e-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: 46
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 45
read number_validation_images: 10000
read best_validation_predictions: 6162
read best_validation_error: 11887.7
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: 6397
read normal distribution: '1 0.119318395853043 0.460173428058624'
generator_str: '888650433'
read generator: 888650433
read generated_by_map:
1 change_size 1
reading 81 nodes.
reading 301 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: 1107.17541503906s, input_fired_time: 10.301628112793, output_fired_time: 7.91753005981445, propagate_forward_time: 398.250152587891, propagate_backward_time: 679.001953125, weight_update_time: 1.13690710067749, other_time: 11.7042236328125
epoch time: 84.8234634399414s, input_fired_time: 1.23952651023865, output_fired_time: 0, propagate_forward_time: 81.4704055786133, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.11353302001953
validation[          , genome  6397] predictions:    5925/  10000 (59.25%), best:    6162/10000 (61.62%), error:     12486.81445, best error:     11887.67188 on epoch:    45, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1138.2261962891s, input_fired_time: 10.5944471359, output_fired_time: 8.1735048294, propagate_forward_time: 409.5614013672, propagate_backward_time: 697.9735717773, weight_update_time: 1.2054218054, other_time: 11.9232788086
epoch time: 84.9646530151s, input_fired_time: 1.2419905663, output_fired_time: 0.0000000000, propagate_forward_time: 81.5921630859, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1305007935
validation[          , genome  6397] predictions:    6032/  10000 (60.32%), best:    6162/10000 (61.62%), error:     12248.21875, best error:     11887.67188 on epoch:    45, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1133.0295410156s, input_fired_time: 10.5633373260, output_fired_time: 8.0948228836, propagate_forward_time: 407.7441711426, propagate_backward_time: 694.8107299805, weight_update_time: 1.1670446396, other_time: 11.8164672852
epoch time: 84.0305862427s, input_fired_time: 1.2228006124, output_fired_time: 0.0000000000, propagate_forward_time: 80.7049484253, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1028366089
validation[          , genome  6397] predictions:    6089/  10000 (60.89%), best:    6162/10000 (61.62%), error:     12258.96582, best error:     11887.67188 on epoch:    45, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1137.8222656250s, input_fired_time: 10.5897245407, output_fired_time: 8.1450519562, propagate_forward_time: 409.0165710449, propagate_backward_time: 698.2114868164, weight_update_time: 1.1712484360, other_time: 11.8594360352
epoch time: 86.4216842651s, input_fired_time: 1.2959554195, output_fired_time: 0.0000000000, propagate_forward_time: 82.9717483521, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1539840698
validation[          , genome  6397] predictions:    6249/  10000 (62.49%), best:    6249/10000 (62.49%), error:     11769.42090, best error:     11769.42090 on epoch:    49, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1145.0114746094s, input_fired_time: 10.6761808395, output_fired_time: 8.1723012924, propagate_forward_time: 411.8286743164, propagate_backward_time: 702.4141845703, weight_update_time: 1.1785607338, other_time: 11.9202270508
epoch time: 86.4359283447s, input_fired_time: 1.2946101427, output_fired_time: 0.0000000000, propagate_forward_time: 83.0120315552, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1292877197
validation[          , genome  6397] predictions:    6068/  10000 (60.68%), best:    6249/10000 (62.49%), error:     12287.46289, best error:     11769.42090 on epoch:    49, epoch:   50/50, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 446.1573486328s, input_fired_time: 6.5514311790, output_fired_time: 0.0000000000, propagate_forward_time: 428.2444152832, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.3615112305
best training[          , genome  6397] predictions:   37396/  50000 (74.79%), best:    6249/10000 (62.49%), error:     36593.15234, best error:     11769.42090 on epoch:    49, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 99.0848541260s, input_fired_time: 1.4659327269, output_fired_time: 0.0000000000, propagate_forward_time: 94.9461593628, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6727600098
   testing[          , genome  6397] predictions:    6249/  10000 (62.49%), best:    6249/10000 (62.49%), error:     11769.42090, best error:     11769.42090 on epoch:    49, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
01:23:07 (2748): called boinc_finish(0)

</stderr_txt>
]]>