Nameexact_genome_1540784103_166_5358_3
Workunit4076081
Created13 Dec 2018, 14:20:41 UTC
Sent13 Dec 2018, 14:21:00 UTC
Report deadline5 Jan 2019, 7:15:30 UTC
Received17 Dec 2018, 9:46:29 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID56670
Run time11 hours 5 min 21 sec
CPU time9 hours 43 min 24 sec
Validate stateValid
Credit5,676.13
Device peak FLOPS3.25 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size522.01 MB
Peak swap size543.46 MB
Peak disk usage11.06 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1540784103_166_5358.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540784103_166_5358_3_r688865384_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1540784103_166_5358.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: 5358
read normal distribution: '0 -0.125282660126686 -0.653798401355743'
generator_str: '1545903788'
read generator: 1545903788
read generated_by_map:
1 add_node 1
reading 96 nodes.
reading 381 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: 1747803510
post shuffle 1: 611463321
epoch time: 2423.4140625s, input_fired_time: 19.532112121582, output_fired_time: 16.4487476348877, propagate_forward_time: 851.839965820313, propagate_backward_time: 1507.35559082031, weight_update_time: 4.51171493530273, other_time: 28.237548828125
epoch time: 161.650360107422s, input_fired_time: 2.28921723365784, output_fired_time: 0, propagate_forward_time: 155.421813964844, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.9393310546875
validation[          , genome  5358] predictions:    5235/  10000 (52.35%), best:    5235/10000 (52.35%), error:     15767.08691, best error:     15767.08691 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1809.6624755859s, input_fired_time: 14.8400878906, output_fired_time: 11.5073280334, propagate_forward_time: 644.4038696289, propagate_backward_time: 1118.5893554688, weight_update_time: 3.1160874367, other_time: 20.3217773438
epoch time: 133.3061218262s, input_fired_time: 1.8226801157, output_fired_time: 0.0000000000, propagate_forward_time: 127.6975097656, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7859344482
validation[          , genome  5358] predictions:    4503/  10000 (45.03%), best:    5235/10000 (52.35%), error:     18613.01758, best error:     15767.08691 on epoch:     0, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 2055.3007812500s, input_fired_time: 16.0703983307, output_fired_time: 13.3771066666, propagate_forward_time: 720.9679565430, propagate_backward_time: 1281.6447753906, weight_update_time: 3.8103780746, other_time: 23.2404785156
epoch time: 146.6356964111s, input_fired_time: 1.6954257488, output_fired_time: 0.0000000000, propagate_forward_time: 141.6046295166, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3356475830
validation[          , genome  5358] predictions:    5015/  10000 (50.15%), best:    5235/10000 (52.35%), error:     15886.25977, best error:     15767.08691 on epoch:     0, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1540784103_166_5358.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540784103_166_5358_3_r688865384_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.569886
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0107172
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000428687
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 3
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 5235
read best_validation_error: 15767.1
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: 5358
read normal distribution: '0 -0.125282660126686 -0.653798401355743'
generator_str: '256862681'
read generator: 256862681
read generated_by_map:
1 add_node 1
reading 96 nodes.
reading 381 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: 1541.32104492188s, input_fired_time: 11.837890625, output_fired_time: 9.47657871246338, propagate_forward_time: 545.103698730469, propagate_backward_time: 958.418212890625, weight_update_time: 2.7812602519989, other_time: 16.4846801757813
epoch time: 96.5730056762695s, input_fired_time: 1.20445895195007, output_fired_time: 0, propagate_forward_time: 93.1652374267578, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.20330810546875
validation[          , genome  5358] predictions:    5136/  10000 (51.36%), best:    5136/10000 (51.36%), error:     15581.53418, best error:     15581.53418 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1311.2827148438s, input_fired_time: 10.0468759537, output_fired_time: 8.1335592270, propagate_forward_time: 466.8637084961, propagate_backward_time: 812.7410278320, weight_update_time: 2.3999876976, other_time: 13.4975585938
epoch time: 98.3412704468s, input_fired_time: 1.2762576342, output_fired_time: 0.0000000000, propagate_forward_time: 94.8155746460, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2494354248
validation[          , genome  5358] predictions:    5188/  10000 (51.88%), best:    5188/10000 (51.88%), error:     14571.34766, best error:     14571.34766 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1323.1096191406s, input_fired_time: 10.2089567184, output_fired_time: 8.2114372253, propagate_forward_time: 468.7440185547, propagate_backward_time: 822.3493041992, weight_update_time: 2.3633344173, other_time: 13.5958862305
epoch time: 97.9919052124s, input_fired_time: 1.2567814589, output_fired_time: 0.0000000000, propagate_forward_time: 94.4107818604, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3243408203
validation[          , genome  5358] predictions:    4842/  10000 (48.42%), best:    5188/10000 (51.88%), error:     17584.49219, best error:     14571.34766 on epoch:     4, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1263.2883300781s, input_fired_time: 9.7816801071, output_fired_time: 7.8308734894, propagate_forward_time: 443.2720642090, propagate_backward_time: 788.8341674805, weight_update_time: 2.3231458664, other_time: 13.5693969727
epoch time: 90.2905807495s, input_fired_time: 1.1763163805, output_fired_time: 0.0000000000, propagate_forward_time: 86.9602050781, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1540603638
validation[          , genome  5358] predictions:    5013/  10000 (50.13%), best:    5188/10000 (51.88%), error:     15480.18750, best error:     14571.34766 on epoch:     4, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1247.3707275391s, input_fired_time: 9.5718460083, output_fired_time: 7.7025070190, propagate_forward_time: 437.5209655762, propagate_backward_time: 779.5231933594, weight_update_time: 2.3558537960, other_time: 13.0521240234
epoch time: 90.9493179321s, input_fired_time: 1.1792914867, output_fired_time: 0.0000000000, propagate_forward_time: 87.6874389648, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0825881958
validation[          , genome  5358] predictions:    5174/  10000 (51.74%), best:    5188/10000 (51.88%), error:     15068.08008, best error:     14571.34766 on epoch:     4, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1251.3315429688s, input_fired_time: 9.6503448486, output_fired_time: 7.7553286552, propagate_forward_time: 440.1697998047, propagate_backward_time: 780.6239013672, weight_update_time: 2.3975405693, other_time: 13.1320800781
epoch time: 91.1863250732s, input_fired_time: 1.1663720608, output_fired_time: 0.0000000000, propagate_forward_time: 87.8425216675, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1774291992
validation[          , genome  5358] predictions:    5048/  10000 (50.48%), best:    5188/10000 (51.88%), error:     15833.59375, best error:     14571.34766 on epoch:     4, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1254.6282958984s, input_fired_time: 9.6859607697, output_fired_time: 7.7618503571, propagate_forward_time: 442.0403137207, propagate_backward_time: 781.6860351563, weight_update_time: 2.4536504745, other_time: 13.4542236328
epoch time: 92.1882247925s, input_fired_time: 1.1725076437, output_fired_time: 0.0000000000, propagate_forward_time: 88.9137420654, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1019744873
validation[          , genome  5358] predictions:    5218/  10000 (52.18%), best:    5188/10000 (51.88%), error:     15382.41699, best error:     14571.34766 on epoch:     4, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1261.6789550781s, input_fired_time: 9.6031494141, output_fired_time: 7.6798157692, propagate_forward_time: 448.0758972168, propagate_backward_time: 783.1110839844, weight_update_time: 2.5465829372, other_time: 13.2089843750
epoch time: 93.4814529419s, input_fired_time: 1.1971459389, output_fired_time: 0.0000000000, propagate_forward_time: 90.2195663452, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0647430420
validation[          , genome  5358] predictions:    5284/  10000 (52.84%), best:    5284/10000 (52.84%), error:     14494.54883, best error:     14494.54883 on epoch:    10, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1322.0466308594s, input_fired_time: 10.2833442688, output_fired_time: 8.3906869888, propagate_forward_time: 465.8414306641, propagate_backward_time: 823.1519165039, weight_update_time: 2.7683694363, other_time: 14.3792114258
epoch time: 100.4898986816s, input_fired_time: 1.3122102022, output_fired_time: 0.0000000000, propagate_forward_time: 96.7463226318, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4313659668
validation[          , genome  5358] predictions:    5310/  10000 (53.10%), best:    5310/10000 (53.10%), error:     14451.53320, best error:     14451.53320 on epoch:    11, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1421.1057128906s, input_fired_time: 11.0268630981, output_fired_time: 8.7437505722, propagate_forward_time: 507.1624145508, propagate_backward_time: 878.6187744141, weight_update_time: 3.0755815506, other_time: 15.5538940430
epoch time: 101.8746871948s, input_fired_time: 1.3292065859, output_fired_time: 0.0000000000, propagate_forward_time: 98.1744689941, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3710098267
validation[          , genome  5358] predictions:    5249/  10000 (52.49%), best:    5310/10000 (53.10%), error:     14880.87891, best error:     14451.53320 on epoch:    11, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1336.7048339844s, input_fired_time: 10.1964979172, output_fired_time: 8.1069564819, propagate_forward_time: 477.9334106445, propagate_backward_time: 825.7672729492, weight_update_time: 3.0462462902, other_time: 14.7006835938
epoch time: 103.7112045288s, input_fired_time: 1.2707407475, output_fired_time: 0.0000000000, propagate_forward_time: 99.9614639282, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4789962769
validation[          , genome  5358] predictions:    5262/  10000 (52.62%), best:    5310/10000 (53.10%), error:     14845.02832, best error:     14451.53320 on epoch:    11, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1750.9094238281s, input_fired_time: 13.5594282150, output_fired_time: 10.9150695801, propagate_forward_time: 634.4588623047, propagate_backward_time: 1070.8428955078, weight_update_time: 4.0567002296, other_time: 21.1331787109
epoch time: 135.2234039307s, input_fired_time: 1.7928278446, output_fired_time: 0.0000000000, propagate_forward_time: 130.4866943359, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9438781738
validation[          , genome  5358] predictions:    5356/  10000 (53.56%), best:    5310/10000 (53.10%), error:     14735.24023, best error:     14451.53320 on epoch:    11, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

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_1540784103_166_5358.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540784103_166_5358_3_r688865384_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: 0.762987
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00579114
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000231646
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: 15
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 11
read number_validation_images: 10000
read best_validation_predictions: 5310
read best_validation_error: 14451.5
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: 5358
read normal distribution: '0 -0.125282660126686 -0.653798401355743'
generator_str: '102764216'
read generator: 102764216
read generated_by_map:
1 add_node 1
reading 96 nodes.
reading 381 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: 1909.01916503906s, input_fired_time: 14.8019456863403, output_fired_time: 11.6345548629761, propagate_forward_time: 697.413269042969, propagate_backward_time: 1163.64526367188, weight_update_time: 4.2878360748291, other_time: 21.524169921875
epoch time: 143.710525512695s, input_fired_time: 1.74314785003662, output_fired_time: 0, propagate_forward_time: 138.690292358398, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.27708435058594
validation[          , genome  5358] predictions:    5199/  10000 (51.99%), best:    5310/10000 (53.10%), error:     15407.40137, best error:     14451.53320 on epoch:    11, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1392.1683349609s, input_fired_time: 10.4069547653, output_fired_time: 8.2403192520, propagate_forward_time: 515.3084106445, propagate_backward_time: 843.2208251953, weight_update_time: 3.1658551693, other_time: 14.9917602539
epoch time: 97.3199462891s, input_fired_time: 1.1551479101, output_fired_time: 0.0000000000, propagate_forward_time: 94.0488357544, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1159591675
validation[          , genome  5358] predictions:    5398/  10000 (53.98%), best:    5398/10000 (53.98%), error:     14225.32422, best error:     14225.32422 on epoch:    16, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1282.5795898438s, input_fired_time: 9.6764793396, output_fired_time: 7.6548271179, propagate_forward_time: 471.1096191406, propagate_backward_time: 780.1443481445, weight_update_time: 2.9723732471, other_time: 13.9943237305
epoch time: 92.5075988770s, input_fired_time: 1.1356791258, output_fired_time: 0.0000000000, propagate_forward_time: 89.2599487305, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1119689941
validation[          , genome  5358] predictions:    5562/  10000 (55.62%), best:    5562/10000 (55.62%), error:     13808.93848, best error:     13808.93848 on epoch:    17, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1207.8996582031s, input_fired_time: 9.2276535034, output_fired_time: 7.2604713440, propagate_forward_time: 425.5821533203, propagate_backward_time: 752.5011596680, weight_update_time: 2.8841855526, other_time: 13.3281860352
epoch time: 88.0136947632s, input_fired_time: 1.1062417030, output_fired_time: 0.0000000000, propagate_forward_time: 84.8763198853, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0311355591
validation[          , genome  5358] predictions:    5438/  10000 (54.38%), best:    5562/10000 (55.62%), error:     13833.64941, best error:     13808.93848 on epoch:    17, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1187.6341552734s, input_fired_time: 9.0871248245, output_fired_time: 7.0895333290, propagate_forward_time: 414.0279235840, propagate_backward_time: 744.5750732422, weight_update_time: 2.8519122601, other_time: 12.8544921875
epoch time: 84.7201080322s, input_fired_time: 1.0608758926, output_fired_time: 0.0000000000, propagate_forward_time: 81.7211990356, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9380340576
validation[          , genome  5358] predictions:    5506/  10000 (55.06%), best:    5506/10000 (55.06%), error:     13724.00684, best error:     13724.00684 on epoch:    19, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1180.9802246094s, input_fired_time: 9.0218315125, output_fired_time: 7.0559191704, propagate_forward_time: 410.4515075684, propagate_backward_time: 741.7562255859, weight_update_time: 2.8344311714, other_time: 12.6947021484
epoch time: 84.8870315552s, input_fired_time: 1.0698966980, output_fired_time: 0.0000000000, propagate_forward_time: 81.8918457031, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9252929688
validation[          , genome  5358] predictions:    5424/  10000 (54.24%), best:    5506/10000 (55.06%), error:     14431.31738, best error:     13724.00684 on epoch:    19, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1182.3063964844s, input_fired_time: 9.0263042450, output_fired_time: 7.0562429428, propagate_forward_time: 411.7790222168, propagate_backward_time: 741.9322509766, weight_update_time: 2.8348491192, other_time: 12.5125732422
epoch time: 85.6205825806s, input_fired_time: 1.0785315037, output_fired_time: 0.0000000000, propagate_forward_time: 82.6509857178, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8910675049
validation[          , genome  5358] predictions:    5438/  10000 (54.38%), best:    5506/10000 (55.06%), error:     14276.11133, best error:     13724.00684 on epoch:    19, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1180.6137695313s, input_fired_time: 9.0348958969, output_fired_time: 7.0366868973, propagate_forward_time: 410.3304443359, propagate_backward_time: 741.6564331055, weight_update_time: 2.8314452171, other_time: 12.5552368164
epoch time: 84.7273178101s, input_fired_time: 1.0722397566, output_fired_time: 0.0000000000, propagate_forward_time: 81.7593688965, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8957061768
validation[          , genome  5358] predictions:    5573/  10000 (55.73%), best:    5506/10000 (55.06%), error:     13726.59961, best error:     13724.00684 on epoch:    19, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1185.8846435547s, input_fired_time: 9.0758800507, output_fired_time: 7.0501227379, propagate_forward_time: 413.9939575195, propagate_backward_time: 743.2064208984, weight_update_time: 2.8410835266, other_time: 12.5581665039
epoch time: 86.5940017700s, input_fired_time: 1.0866260529, output_fired_time: 0.0000000000, propagate_forward_time: 83.5928649902, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9145126343
validation[          , genome  5358] predictions:    5428/  10000 (54.28%), best:    5506/10000 (55.06%), error:     14058.18848, best error:     13724.00684 on epoch:    19, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1184.9899902344s, input_fired_time: 9.0820226669, output_fired_time: 7.0682835579, propagate_forward_time: 413.4752807617, propagate_backward_time: 742.8259277344, weight_update_time: 2.8419098854, other_time: 12.5385131836
epoch time: 85.2967605591s, input_fired_time: 1.0867969990, output_fired_time: 0.0000000000, propagate_forward_time: 82.3109436035, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8990173340
validation[          , genome  5358] predictions:    5554/  10000 (55.54%), best:    5554/10000 (55.54%), error:     13674.17188, best error:     13674.17188 on epoch:    24, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1185.4693603516s, input_fired_time: 9.1030759811, output_fired_time: 7.0758714676, propagate_forward_time: 413.5880737305, propagate_backward_time: 743.1524658203, weight_update_time: 2.8278124332, other_time: 12.5498657227
epoch time: 84.2423095703s, input_fired_time: 1.0732574463, output_fired_time: 0.0000000000, propagate_forward_time: 81.2502899170, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9187622070
validation[          , genome  5358] predictions:    5545/  10000 (55.45%), best:    5554/10000 (55.54%), error:     13723.09961, best error:     13674.17188 on epoch:    24, 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: 425.8655700684s, input_fired_time: 5.4142932892, output_fired_time: 0.0000000000, propagate_forward_time: 410.8266601563, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.6246032715
best training[          , genome  5358] predictions:   31652/  50000 (63.30%), best:    5554/10000 (55.54%), error:     54131.55078, best error:     13674.17188 on epoch:    24, 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: 85.1150283813s, input_fired_time: 1.0824656487, output_fired_time: 0.0000000000, propagate_forward_time: 82.1323471069, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9002151489
   testing[          , genome  5358] predictions:    5554/  10000 (55.54%), best:    5554/10000 (55.54%), error:     13674.17188, best error:     13674.17188 on epoch:    24, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
02:46:12 (6036): called boinc_finish(0)

</stderr_txt>
]]>