Nameexact_genome_1542031203_183_5568_2
Workunit4080996
Created13 Nov 2018, 5:28:17 UTC
Sent13 Nov 2018, 5:48:14 UTC
Report deadline20 Jan 2019, 15:06:52 UTC
Received14 Nov 2018, 11:58:42 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID73073
Run time18 hours 21 min 8 sec
CPU time15 hours 41 min 1 sec
Validate stateValid
Credit17,096.99
Device peak FLOPS4.57 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size518.86 MB
Peak swap size538.94 MB
Peak disk usage9.51 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
3.7578237057, propagate_forward_time: 207.8215637207, propagate_backward_time: 348.7008972168, weight_update_time: 0.7769439220, other_time: 7.6375732422
epoch time: 43.6248626709s, input_fired_time: 0.5533703566, output_fired_time: 0.0000000000, propagate_forward_time: 41.7555313110, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3159599304
validation[          , genome  5568] predictions:    5639/  10000 (56.39%), best:    5639/10000 (56.39%), error:     13420.11133, best error:     13420.11133 on epoch:    28, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 581.2788085938s, input_fired_time: 5.7440466881, output_fired_time: 3.8366761208, propagate_forward_time: 212.4832458496, propagate_backward_time: 351.4856872559, weight_update_time: 0.7622476816, other_time: 7.7291870117
epoch time: 43.6387138367s, input_fired_time: 0.5442597866, output_fired_time: 0.0000000000, propagate_forward_time: 41.7279281616, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3665275574
validation[          , genome  5568] predictions:    5643/  10000 (56.43%), best:    5643/10000 (56.43%), error:     13284.78418, best error:     13284.78418 on epoch:    29, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 575.2332153320s, input_fired_time: 5.7612814903, output_fired_time: 3.7855536938, propagate_forward_time: 206.2457275391, propagate_backward_time: 351.7266845703, weight_update_time: 0.7680381536, other_time: 7.7139282227
epoch time: 42.3719520569s, input_fired_time: 0.5439652801, output_fired_time: 0.0000000000, propagate_forward_time: 40.4718017578, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3561859131
validation[          , genome  5568] predictions:    5489/  10000 (54.89%), best:    5643/10000 (56.43%), error:     13479.57813, best error:     13284.78418 on epoch:    29, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 598.4338989258s, input_fired_time: 4.8530845642, output_fired_time: 3.9721271992, propagate_forward_time: 215.9721984863, propagate_backward_time: 365.6053771973, weight_update_time: 0.7873060703, other_time: 8.0311279297
epoch time: 44.8280181885s, input_fired_time: 0.5716968179, output_fired_time: 0.0000000000, propagate_forward_time: 42.9079017639, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3484191895
validation[          , genome  5568] predictions:    5759/  10000 (57.59%), best:    5759/10000 (57.59%), error:     12983.57129, best error:     12983.57129 on epoch:    31, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 579.5043334961s, input_fired_time: 4.7760396004, output_fired_time: 3.8127810955, propagate_forward_time: 207.2508087158, propagate_backward_time: 355.8878479004, weight_update_time: 0.7775935531, other_time: 7.7768249512
epoch time: 43.2890663147s, input_fired_time: 0.5582621098, output_fired_time: 0.0000000000, propagate_forward_time: 41.3898582458, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3409461975
validation[          , genome  5568] predictions:    5718/  10000 (57.18%), best:    5718/10000 (57.18%), error:     12930.70410, best error:     12930.70410 on epoch:    32, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 571.8270263672s, input_fired_time: 4.7634963989, output_fired_time: 3.7663888931, propagate_forward_time: 210.9485778809, propagate_backward_time: 344.6494750977, weight_update_time: 0.7978107929, other_time: 7.6990661621
epoch time: 44.2618408203s, input_fired_time: 0.5357041955, output_fired_time: 0.0000000000, propagate_forward_time: 42.4209022522, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3052330017
validation[          , genome  5568] predictions:    5715/  10000 (57.15%), best:    5718/10000 (57.18%), error:     13127.10938, best error:     12930.70410 on epoch:    32, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 576.0968627930s, input_fired_time: 5.8613553047, output_fired_time: 4.8037519455, propagate_forward_time: 210.4343261719, propagate_backward_time: 346.2016601563, weight_update_time: 0.7848512530, other_time: 8.7957763672
epoch time: 44.0694274902s, input_fired_time: 0.5484046340, output_fired_time: 0.0000000000, propagate_forward_time: 42.2057571411, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3152656555
validation[          , genome  5568] predictions:    5767/  10000 (57.67%), best:    5718/10000 (57.18%), error:     13028.93359, best error:     12930.70410 on epoch:    32, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 660.9700927734s, input_fired_time: 6.4563369751, output_fired_time: 4.3315882683, propagate_forward_time: 235.5064697266, propagate_backward_time: 404.9121704102, weight_update_time: 0.9141876101, other_time: 9.7634887695
epoch time: 47.8001632690s, input_fired_time: 0.5948942900, output_fired_time: 0.0000000000, propagate_forward_time: 45.8206443787, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3846244812
validation[          , genome  5568] predictions:    5604/  10000 (56.04%), best:    5718/10000 (57.18%), error:     13322.12109, best error:     12930.70410 on epoch:    32, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 577.0788574219s, input_fired_time: 5.8640437126, output_fired_time: 3.7817509174, propagate_forward_time: 206.0656890869, propagate_backward_time: 353.6787109375, weight_update_time: 0.8012645841, other_time: 7.6887207031
epoch time: 43.2187232971s, input_fired_time: 0.5518878102, output_fired_time: 0.0000000000, propagate_forward_time: 41.2824401855, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3843955994
validation[          , genome  5568] predictions:    5699/  10000 (56.99%), best:    5718/10000 (57.18%), error:     13288.46777, best error:     12930.70410 on epoch:    32, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 580.2602539063s, input_fired_time: 5.8898129463, output_fired_time: 3.8097600937, propagate_forward_time: 210.1922760010, propagate_backward_time: 352.5608520508, weight_update_time: 0.7957931757, other_time: 7.8075561523
epoch time: 43.9300193787s, input_fired_time: 1.5536856651, output_fired_time: 0.0000000000, propagate_forward_time: 40.8475456238, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5287895203
validation[          , genome  5568] predictions:    5748/  10000 (57.48%), best:    5748/10000 (57.48%), error:     12870.91113, best error:     12870.91113 on epoch:    37, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 584.2223510742s, input_fired_time: 4.8805351257, output_fired_time: 3.7935976982, propagate_forward_time: 207.9293365479, propagate_backward_time: 359.8407592773, weight_update_time: 0.7558255196, other_time: 7.7781372070
epoch time: 54.4623413086s, input_fired_time: 0.6807829142, output_fired_time: 0.0000000000, propagate_forward_time: 51.8464202881, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9351387024
validation[          , genome  5568] predictions:    5865/  10000 (58.65%), best:    5865/10000 (58.65%), error:     12765.65723, best error:     12765.65723 on epoch:    38, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 645.7537841797s, input_fired_time: 5.4657640457, output_fired_time: 4.2853651047, propagate_forward_time: 227.6875915527, propagate_backward_time: 398.7431640625, weight_update_time: 0.8259359598, other_time: 9.5719299316
epoch time: 42.9469795227s, input_fired_time: 0.5550606251, output_fired_time: 0.0000000000, propagate_forward_time: 41.0624542236, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3294639587
validation[          , genome  5568] predictions:    5871/  10000 (58.71%), best:    5871/10000 (58.71%), error:     12732.54492, best error:     12732.54492 on epoch:    39, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 580.2373657227s, input_fired_time: 4.8264517784, output_fired_time: 3.8122246265, propagate_forward_time: 209.0178833008, propagate_backward_time: 353.7736816406, weight_update_time: 0.8045356870, other_time: 8.8071289063
epoch time: 44.0476531982s, input_fired_time: 0.5429325104, output_fired_time: 0.0000000000, propagate_forward_time: 42.0938644409, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4108581543
validation[          , genome  5568] predictions:    5895/  10000 (58.95%), best:    5895/10000 (58.95%), error:     12417.40234, best error:     12417.40234 on epoch:    40, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 583.2658081055s, input_fired_time: 5.8808145523, output_fired_time: 4.7931914330, propagate_forward_time: 204.7970275879, propagate_backward_time: 360.0196838379, weight_update_time: 0.7599994540, other_time: 7.7750854492
epoch time: 52.4896240234s, input_fired_time: 0.6383157969, output_fired_time: 0.0000000000, propagate_forward_time: 49.9870567322, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8642501831
validation[          , genome  5568] predictions:    5555/  10000 (55.55%), best:    5895/10000 (58.95%), error:     13937.74219, best error:     12417.40234 on epoch:    40, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 652.4240722656s, input_fired_time: 5.4470887184, output_fired_time: 4.3393936157, propagate_forward_time: 235.7122802734, propagate_backward_time: 398.2817382813, weight_update_time: 0.9076927304, other_time: 8.6435546875
epoch time: 44.7989273071s, input_fired_time: 0.5985557437, output_fired_time: 0.0000000000, propagate_forward_time: 41.8328857422, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3674850464
validation[          , genome  5568] predictions:    5834/  10000 (58.34%), best:    5895/10000 (58.95%), error:     12543.35156, best error:     12417.40234 on epoch:    40, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 579.2884521484s, input_fired_time: 4.9186329842, output_fired_time: 4.7988114357, propagate_forward_time: 209.5551147461, propagate_backward_time: 352.2591857910, weight_update_time: 0.7843685150, other_time: 7.7566833496
epoch time: 43.6277236938s, input_fired_time: 0.5462457538, output_fired_time: 0.0000000000, propagate_forward_time: 41.7253608704, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3561172485
validation[          , genome  5568] predictions:    5851/  10000 (58.51%), best:    5895/10000 (58.95%), error:     12533.38379, best error:     12417.40234 on epoch:    40, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 582.3739013672s, input_fired_time: 4.8206086159, output_fired_time: 3.8533833027, propagate_forward_time: 208.5300903320, propagate_backward_time: 356.3351440430, weight_update_time: 0.8214650154, other_time: 8.8346557617
epoch time: 43.5465126038s, input_fired_time: 0.5468491912, output_fired_time: 0.0000000000, propagate_forward_time: 41.6532287598, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3464355469
validation[          , genome  5568] predictions:    5693/  10000 (56.93%), best:    5895/10000 (58.95%), error:     13089.49805, best error:     12417.40234 on epoch:    40, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 665.5053100586s, input_fired_time: 5.3065810204, output_fired_time: 4.4239463806, propagate_forward_time: 240.2542572021, propagate_backward_time: 405.9330444336, weight_update_time: 0.8441100717, other_time: 9.5874633789
epoch time: 45.0951042175s, input_fired_time: 0.5784881115, output_fired_time: 0.0000000000, propagate_forward_time: 43.1545410156, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3620758057
validation[          , genome  5568] predictions:    5908/  10000 (59.08%), best:    5895/10000 (58.95%), error:     12587.43359, best error:     12417.40234 on epoch:    40, epoch:   45/100, 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_1542031203_183_5568.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_183_5568_2_r1061883614_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: 100
read reset_weights: 0
read padding: 2
read best_epoch: 40
read number_validation_images: 10000
read best_validation_predictions: 5895
read best_validation_error: 12417.4
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: 5568
read normal distribution: '1 0 0'
generator_str: '1931028828'
read generator: 1931028828
read generated_by_map:
1 crossover 1
reading 69 nodes.
reading 289 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: 612.075012207031s, input_fired_time: 5.13914346694946, output_fired_time: 4.11475896835327, propagate_forward_time: 221.361419677734, propagate_backward_time: 372.258605957031, weight_update_time: 0.792127370834351, other_time: 9.20108032226563
epoch time: 46.8870086669922s, input_fired_time: 0.571194589138031, output_fired_time: 0, propagate_forward_time: 43.8389129638672, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.47690200805664
validation[          , genome  5568] predictions:    5885/  10000 (58.85%), best:    5895/10000 (58.95%), error:     12431.71191, best error:     12417.40234 on epoch:    40, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 608.7157592773s, input_fired_time: 5.1757450104, output_fired_time: 5.9214286804, propagate_forward_time: 215.1904296875, propagate_backward_time: 374.1334228516, weight_update_time: 0.7905728817, other_time: 8.2947387695
epoch time: 46.9588813782s, input_fired_time: 0.6119141579, output_fired_time: 0.0000000000, propagate_forward_time: 44.8318672180, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5150985718
validation[          , genome  5568] predictions:    6021/  10000 (60.21%), best:    6021/10000 (60.21%), error:     12302.68848, best error:     12302.68848 on epoch:    47, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 686.6160278320s, input_fired_time: 6.8901062012, output_fired_time: 5.4612107277, propagate_forward_time: 246.9702911377, propagate_backward_time: 418.1578063965, weight_update_time: 0.9409195781, other_time: 9.1366882324
epoch time: 45.2346916199s, input_fired_time: 0.5921739936, output_fired_time: 0.0000000000, propagate_forward_time: 43.1718521118, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4706649780
validation[          , genome  5568] predictions:    5759/  10000 (57.59%), best:    6021/10000 (60.21%), error:     13019.89160, best error:     12302.68848 on epoch:    47, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 597.8441772461s, input_fired_time: 5.0225853920, output_fired_time: 3.9357788563, propagate_forward_time: 216.8159332275, propagate_backward_time: 364.1007385254, weight_update_time: 0.7833569050, other_time: 7.9691467285
epoch time: 45.1270370483s, input_fired_time: 0.5781461000, output_fired_time: 0.0000000000, propagate_forward_time: 42.0850410461, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4638481140
validation[          , genome  5568] predictions:    6030/  10000 (60.30%), best:    6030/10000 (60.30%), error:     12111.71191, best error:     12111.71191 on epoch:    49, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 609.1988525391s, input_fired_time: 5.2127451897, output_fired_time: 3.9438188076, propagate_forward_time: 221.7785797119, propagate_backward_time: 370.0632019043, weight_update_time: 0.8087561727, other_time: 8.2004699707
epoch time: 44.6357345581s, input_fired_time: 0.5750671625, output_fired_time: 0.0000000000, propagate_forward_time: 42.7179107666, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3427581787
validation[          , genome  5568] predictions:    5939/  10000 (59.39%), best:    6030/10000 (60.30%), error:     12266.02246, best error:     12111.71191 on epoch:    49, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 673.8428344727s, input_fired_time: 5.8534011841, output_fired_time: 5.4901633263, propagate_forward_time: 242.0368194580, propagate_backward_time: 410.5881347656, weight_update_time: 1.8966776133, other_time: 9.8743286133
epoch time: 44.4929046631s, input_fired_time: 0.6021496058, output_fired_time: 0.0000000000, propagate_forward_time: 42.5241317749, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3666229248
validation[          , genome  5568] predictions:    5943/  10000 (59.43%), best:    6030/10000 (60.30%), error:     12207.61816, best error:     12111.71191 on epoch:    49, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 587.3372802734s, input_fired_time: 4.9288363457, output_fired_time: 3.8431639671, propagate_forward_time: 210.8710784912, propagate_backward_time: 359.9664001465, weight_update_time: 0.8024668097, other_time: 7.7278137207
epoch time: 44.4577903748s, input_fired_time: 0.6037464738, output_fired_time: 0.0000000000, propagate_forward_time: 42.5095329285, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3445091248
validation[          , genome  5568] predictions:    5995/  10000 (59.95%), best:    6030/10000 (60.30%), error:     12215.74609, best error:     12111.71191 on epoch:    49, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 628.7875976563s, input_fired_time: 5.3173031807, output_fired_time: 4.1301674843, propagate_forward_time: 228.0807952881, propagate_backward_time: 382.8625183105, weight_update_time: 0.8542414904, other_time: 8.3967590332
epoch time: 44.3863182068s, input_fired_time: 0.6202898622, output_fired_time: 0.0000000000, propagate_forward_time: 42.4255867004, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3404426575
validation[          , genome  5568] predictions:    5830/  10000 (58.30%), best:    6030/10000 (60.30%), error:     12732.01953, best error:     12111.71191 on epoch:    49, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 673.7038574219s, input_fired_time: 5.5316953659, output_fired_time: 4.5304818153, propagate_forward_time: 248.0534820557, propagate_backward_time: 406.4045104980, weight_update_time: 0.9182657003, other_time: 9.1837463379
epoch time: 44.1874275208s, input_fired_time: 0.5970878005, output_fired_time: 0.0000000000, propagate_forward_time: 42.1745491028, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4157905579
validation[          , genome  5568] predictions:    5940/  10000 (59.40%), best:    6030/10000 (60.30%), error:     12587.07715, best error:     12111.71191 on epoch:    49, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 588.1898803711s, input_fired_time: 5.1215929985, output_fired_time: 3.8857994080, propagate_forward_time: 212.1548004150, propagate_backward_time: 358.0528259277, weight_update_time: 0.7843914628, other_time: 8.9748840332
epoch time: 44.1242485046s, input_fired_time: 0.5821774602, output_fired_time: 0.0000000000, propagate_forward_time: 42.1432113647, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3988609314
validation[          , genome  5568] predictions:    5954/  10000 (59.54%), best:    6030/10000 (60.30%), error:     12372.12598, best error:     12111.71191 on epoch:    49, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 590.0692138672s, input_fired_time: 6.0544376373, output_fired_time: 3.9365708828, propagate_forward_time: 210.3778228760, propagate_backward_time: 361.5147399902, weight_update_time: 0.8195208311, other_time: 8.1856384277
epoch time: 45.8645401001s, input_fired_time: 0.6370054483, output_fired_time: 0.0000000000, propagate_forward_time: 43.7832069397, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4443283081
validation[          , genome  5568] predictions:    6091/  10000 (60.91%), best:    6091/10000 (60.91%), error:     11925.31641, best error:     11925.31641 on epoch:    56, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 650.2601318359s, input_fired_time: 5.8755545616, output_fired_time: 4.4587283134, propagate_forward_time: 232.5603027344, propagate_backward_time: 397.5956420898, weight_update_time: 0.8523938060, other_time: 9.7698974609
epoch time: 55.7544898987s, input_fired_time: 0.7455297112, output_fired_time: 0.0000000000, propagate_forward_time: 53.2461624146, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7627983093
validation[          , genome  5568] predictions:    6043/  10000 (60.43%), best:    6091/10000 (60.91%), error:     12014.94727, best error:     11925.31641 on epoch:    56, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 612.3966674805s, input_fired_time: 5.2724575996, output_fired_time: 4.0495195389, propagate_forward_time: 216.9786834717, propagate_backward_time: 377.3930969238, weight_update_time: 0.8619199395, other_time: 8.7029113770
epoch time: 43.7233161926s, input_fired_time: 0.5984895229, output_fired_time: 0.0000000000, propagate_forward_time: 41.7749328613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3498954773
validation[          , genome  5568] predictions:    5906/  10000 (59.06%), best:    6091/10000 (60.91%), error:     12331.77930, best error:     11925.31641 on epoch:    56, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 595.6167602539s, input_fired_time: 5.0690393448, output_fired_time: 3.8918845654, propagate_forward_time: 214.8466644287, propagate_backward_time: 363.5746154785, weight_update_time: 0.8087492585, other_time: 8.2345275879
epoch time: 44.5729827881s, input_fired_time: 0.6115995049, output_fired_time: 0.0000000000, propagate_forward_time: 42.5779762268, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3834075928
validation[          , genome  5568] predictions:    6044/  10000 (60.44%), best:    6091/10000 (60.91%), error:     12098.10547, best error:     11925.31641 on epoch:    56, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 652.8427734375s, input_fired_time: 5.7172861099, output_fired_time: 4.3993868828, propagate_forward_time: 236.5041961670, propagate_backward_time: 397.3645324707, weight_update_time: 0.8602207303, other_time: 8.8573303223
epoch time: 56.6287994385s, input_fired_time: 0.7198804617, output_fired_time: 0.0000000000, propagate_forward_time: 54.4278907776, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4810295105
validation[          , genome  5568] predictions:    5957/  10000 (59.57%), best:    6091/10000 (60.91%), error:     12297.45215, best error:     11925.31641 on epoch:    56, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 600.9500122070s, input_fired_time: 5.1882576942, output_fired_time: 3.9992249012, propagate_forward_time: 214.5533294678, propagate_backward_time: 367.9756774902, weight_update_time: 1.8105945587, other_time: 9.2335510254
epoch time: 45.7088928223s, input_fired_time: 0.5993161201, output_fired_time: 0.0000000000, propagate_forward_time: 43.6481018066, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4614753723
validation[          , genome  5568] predictions:    5971/  10000 (59.71%), best:    6091/10000 (60.91%), error:     12300.95703, best error:     11925.31641 on epoch:    56, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 595.2236938477s, input_fired_time: 6.0297307968, output_fired_time: 3.9922862053, propagate_forward_time: 212.0237426758, propagate_backward_time: 365.0824584961, weight_update_time: 0.8051658273, other_time: 8.0954589844
epoch time: 44.8091888428s, input_fired_time: 0.6107851863, output_fired_time: 0.0000000000, propagate_forward_time: 42.7755546570, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4228477478
validation[          , genome  5568] predictions:    5933/  10000 (59.33%), best:    6091/10000 (60.91%), error:     12487.70313, best error:     11925.31641 on epoch:    56, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 597.3505859375s, input_fired_time: 5.2136445045, output_fired_time: 3.8978502750, propagate_forward_time: 213.0699768066, propagate_backward_time: 367.0066223145, weight_update_time: 0.8257884979, other_time: 8.1625366211
epoch time: 55.9352073669s, input_fired_time: 0.7355714440, output_fired_time: 0.0000000000, propagate_forward_time: 53.2902603149, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9093742371
validation[          , genome  5568] predictions:    6038/  10000 (60.38%), best:    6091/10000 (60.91%), error:     11964.14258, best error:     11925.31641 on epoch:    56, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 668.3228149414s, input_fired_time: 5.7987437248, output_fired_time: 4.3933162689, propagate_forward_time: 242.8269042969, propagate_backward_time: 406.2690124512, weight_update_time: 0.9120473862, other_time: 9.0348205566
epoch time: 44.1917304993s, input_fired_time: 0.5984672308, output_fired_time: 0.0000000000, propagate_forward_time: 42.1801986694, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4130630493
validation[          , genome  5568] predictions:    5945/  10000 (59.45%), best:    6091/10000 (60.91%), error:     12278.65430, best error:     11925.31641 on epoch:    56, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 592.6658935547s, input_fired_time: 5.0856485367, output_fired_time: 4.9902920723, propagate_forward_time: 213.8030395508, propagate_backward_time: 360.6468505859, weight_update_time: 0.7837573290, other_time: 8.1400756836
epoch time: 44.4740600586s, input_fired_time: 0.6185387969, output_fired_time: 0.0000000000, propagate_forward_time: 42.4727706909, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3827514648
validation[          , genome  5568] predictions:    6032/  10000 (60.32%), best:    6091/10000 (60.91%), error:     12172.77734, best error:     11925.31641 on epoch:    56, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 592.9977416992s, input_fired_time: 5.2003593445, output_fired_time: 3.9262781143, propagate_forward_time: 213.8917083740, propagate_backward_time: 360.7222290039, weight_update_time: 0.8223981857, other_time: 9.2571411133
epoch time: 44.3228721619s, input_fired_time: 0.6123687625, output_fired_time: 0.0000000000, propagate_forward_time: 41.2966804504, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4138221741
validation[          , genome  5568] predictions:    6047/  10000 (60.47%), best:    6047/10000 (60.47%), error:     11868.62988, best error:     11868.62988 on epoch:    66, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 677.9692382813s, input_fired_time: 5.6840643883, output_fired_time: 4.3238425255, propagate_forward_time: 245.2139892578, propagate_backward_time: 413.3782653809, weight_update_time: 0.8976183534, other_time: 9.3690490723
epoch time: 44.9444808960s, input_fired_time: 0.6387439370, output_fired_time: 0.0000000000, propagate_forward_time: 41.8157882690, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4899482727
validation[          , genome  5568] predictions:    6108/  10000 (61.08%), best:    6047/10000 (60.47%), error:     11909.08203, best error:     11868.62988 on epoch:    66, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 595.8742065430s, input_fired_time: 5.1688456535, output_fired_time: 3.9324443340, propagate_forward_time: 213.0480804443, propagate_backward_time: 365.5000915527, weight_update_time: 0.7960343361, other_time: 8.2247619629
epoch time: 44.5909881592s, input_fired_time: 0.6316149831, output_fired_time: 0.0000000000, propagate_forward_time: 42.5468177795, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4125556946
validation[          , genome  5568] predictions:    6076/  10000 (60.76%), best:    6076/10000 (60.76%), error:     11849.32227, best error:     11849.32227 on epoch:    68, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 593.1588134766s, input_fired_time: 5.1975622177, output_fired_time: 3.8460483551, propagate_forward_time: 213.8737945557, propagate_backward_time: 362.1331787109, weight_update_time: 0.7922459245, other_time: 8.1082153320
epoch time: 44.8346443176s, input_fired_time: 0.6104395390, output_fired_time: 0.0000000000, propagate_forward_time: 42.7981910706, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4260139465
validation[          , genome  5568] predictions:    6074/  10000 (60.74%), best:    6076/10000 (60.76%), error:     12004.46387, best error:     11849.32227 on epoch:    68, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 682.9711914063s, input_fired_time: 5.8138103485, output_fired_time: 4.7953224182, propagate_forward_time: 248.8845062256, propagate_backward_time: 413.2173767090, weight_update_time: 0.8992024660, other_time: 10.2601623535
epoch time: 44.6505432129s, input_fired_time: 0.6162568927, output_fired_time: 0.0000000000, propagate_forward_time: 42.6279182434, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4063682556
validation[          , genome  5568] predictions:    6097/  10000 (60.97%), best:    6076/10000 (60.76%), error:     11946.24512, best error:     11849.32227 on epoch:    68, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 599.2971801758s, input_fired_time: 6.1798486710, output_fired_time: 3.9432008266, propagate_forward_time: 212.8229675293, propagate_backward_time: 368.0339660645, weight_update_time: 0.8050766587, other_time: 8.3171997070
epoch time: 45.8928527832s, input_fired_time: 0.5988115072, output_fired_time: 0.0000000000, propagate_forward_time: 43.8660469055, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4279937744
validation[          , genome  5568] predictions:    6093/  10000 (60.93%), best:    6076/10000 (60.76%), error:     11926.00586, best error:     11849.32227 on epoch:    68, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 596.9138793945s, input_fired_time: 5.1349153519, output_fired_time: 3.9036660194, propagate_forward_time: 211.2238006592, propagate_backward_time: 368.6330261230, weight_update_time: 0.7780736685, other_time: 8.0184631348
epoch time: 46.0139465332s, input_fired_time: 0.6266592145, output_fired_time: 0.0000000000, propagate_forward_time: 43.9739456177, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4133415222
validation[          , genome  5568] predictions:    6026/  10000 (60.26%), best:    6076/10000 (60.76%), error:     12274.56738, best error:     11849.32227 on epoch:    68, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 621.7490234375s, input_fired_time: 5.3368339539, output_fired_time: 4.1657128334, propagate_forward_time: 227.3068084717, propagate_backward_time: 375.3452453613, weight_update_time: 0.7982068658, other_time: 9.5943908691
epoch time: 56.8481254578s, input_fired_time: 0.7704305053, output_fired_time: 0.0000000000, propagate_forward_time: 54.3649139404, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7127799988
validation[          , genome  5568] predictions:    6058/  10000 (60.58%), best:    6076/10000 (60.76%), error:     12127.29980, best error:     11849.32227 on epoch:    68, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 640.9188232422s, input_fired_time: 6.5915956497, output_fired_time: 5.1697049141, propagate_forward_time: 233.3262481689, propagate_backward_time: 387.1459960938, weight_update_time: 0.8445179462, other_time: 8.6853027344
epoch time: 44.8177680969s, input_fired_time: 0.6034643054, output_fired_time: 0.0000000000, propagate_forward_time: 42.7823600769, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4319419861
validation[          , genome  5568] predictions:    6165/  10000 (61.65%), best:    6165/10000 (61.65%), error:     11731.77930, best error:     11731.77930 on epoch:    74, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 728.8703613281s, input_fired_time: 7.2574386597, output_fired_time: 4.8177204132, propagate_forward_time: 255.9532928467, propagate_backward_time: 450.9887390137, weight_update_time: 0.9781174064, other_time: 9.8531188965
epoch time: 56.7546882629s, input_fired_time: 0.7436172366, output_fired_time: 0.0000000000, propagate_forward_time: 54.2205886841, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7904815674
validation[          , genome  5568] predictions:    6158/  10000 (61.58%), best:    6165/10000 (61.65%), error:     11774.42285, best error:     11731.77930 on epoch:    74, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 761.5816040039s, input_fired_time: 6.6869792938, output_fired_time: 6.1096177101, propagate_forward_time: 273.0696411133, propagate_backward_time: 465.5496215820, weight_update_time: 0.9262285829, other_time: 10.1657714844
epoch time: 56.7854576111s, input_fired_time: 0.6920587420, output_fired_time: 0.0000000000, propagate_forward_time: 53.9270210266, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1663780212
validation[          , genome  5568] predictions:    6161/  10000 (61.61%), best:    6165/10000 (61.65%), error:     11866.12305, best error:     11731.77930 on epoch:    74, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 744.7247924805s, input_fired_time: 6.6125383377, output_fired_time: 5.1450634003, propagate_forward_time: 266.8275451660, propagate_backward_time: 455.2678222656, weight_update_time: 0.9572893977, other_time: 10.8717956543
epoch time: 56.4777183533s, input_fired_time: 0.7448935509, output_fired_time: 0.0000000000, propagate_forward_time: 54.0056877136, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7271385193
validation[          , genome  5568] predictions:    6106/  10000 (61.06%), best:    6165/10000 (61.65%), error:     11873.45313, best error:     11731.77930 on epoch:    74, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 746.0103759766s, input_fired_time: 6.6359601021, output_fired_time: 5.8734555244, propagate_forward_time: 265.0696411133, propagate_backward_time: 458.3511962891, weight_update_time: 1.0933718681, other_time: 10.0800781250
epoch time: 56.1490821838s, input_fired_time: 0.8113989830, output_fired_time: 0.0000000000, propagate_forward_time: 53.5551872253, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7824974060
validation[          , genome  5568] predictions:    6160/  10000 (61.60%), best:    6165/10000 (61.65%), error:     11808.80078, best error:     11731.77930 on epoch:    74, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

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_1542031203_183_5568.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_183_5568_2_r1061883614_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: 0.981482
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000217307
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 8.69229e-06
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 79
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 74
read number_validation_images: 10000
read best_validation_predictions: 6165
read best_validation_error: 11731.8
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 5568
read normal distribution: '1 0 0'
generator_str: '1599762887'
read generator: 1599762887
read generated_by_map:
1 crossover 1
reading 69 nodes.
reading 289 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: 760.1162109375s, input_fired_time: 6.721999168396, output_fired_time: 5.3596396446228, propagate_forward_time: 275.158752441406, propagate_backward_time: 461.504730224609, weight_update_time: 1.02045941352844, other_time: 11.3711242675781
epoch time: 56.2454643249512s, input_fired_time: 0.691337704658508, output_fired_time: 0, propagate_forward_time: 53.8768653869629, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.67726135253906
validation[          , genome  5568] predictions:    6138/  10000 (61.38%), best:    6165/10000 (61.65%), error:     11923.54102, best error:     11731.77930 on epoch:    74, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 769.5109863281s, input_fired_time: 8.8560647964, output_fired_time: 4.8547949791, propagate_forward_time: 275.0146484375, propagate_backward_time: 470.3563537598, weight_update_time: 1.0675019026, other_time: 10.4291076660
epoch time: 56.8654708862s, input_fired_time: 0.7637628913, output_fired_time: 0.0000000000, propagate_forward_time: 54.3322792053, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7694282532
validation[          , genome  5568] predictions:    6156/  10000 (61.56%), best:    6165/10000 (61.65%), error:     11748.39746, best error:     11731.77930 on epoch:    74, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 751.7455444336s, input_fired_time: 6.7072510719, output_fired_time: 5.1162753105, propagate_forward_time: 266.5569458008, propagate_backward_time: 462.6191101074, weight_update_time: 0.9380401373, other_time: 10.7459411621
epoch time: 56.4123802185s, input_fired_time: 0.8205156326, output_fired_time: 0.0000000000, propagate_forward_time: 52.8876686096, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7041969299
validation[          , genome  5568] predictions:    6076/  10000 (60.76%), best:    6165/10000 (61.65%), error:     11814.19531, best error:     11731.77930 on epoch:    74, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 762.4993286133s, input_fired_time: 6.5362186432, output_fired_time: 5.2684321404, propagate_forward_time: 273.9255065918, propagate_backward_time: 466.6089782715, weight_update_time: 0.8999744654, other_time: 10.1602172852
epoch time: 54.4785079956s, input_fired_time: 0.7605019212, output_fired_time: 0.0000000000, propagate_forward_time: 51.8054733276, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9125328064
validation[          , genome  5568] predictions:    6160/  10000 (61.60%), best:    6160/10000 (61.60%), error:     11694.32715, best error:     11694.32715 on epoch:    82, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 748.9342651367s, input_fired_time: 7.6268649101, output_fired_time: 4.7822918892, propagate_forward_time: 267.6898498535, propagate_backward_time: 458.3326110840, weight_update_time: 1.9798536301, other_time: 10.5026245117
epoch time: 55.0010299683s, input_fired_time: 0.8405990601, output_fired_time: 0.0000000000, propagate_forward_time: 52.3105621338, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8498687744
validation[          , genome  5568] predictions:    6058/  10000 (60.58%), best:    6160/10000 (61.60%), error:     12130.44434, best error:     11694.32715 on epoch:    82, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 746.6564941406s, input_fired_time: 6.5501437187, output_fired_time: 5.0842261314, propagate_forward_time: 263.9996643066, propagate_backward_time: 460.0424194336, weight_update_time: 1.0178753138, other_time: 10.9800109863
epoch time: 55.1414108276s, input_fired_time: 0.8739770651, output_fired_time: 0.0000000000, propagate_forward_time: 52.8318214417, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4356117249
validation[          , genome  5568] predictions:    6161/  10000 (61.61%), best:    6160/10000 (61.60%), error:     11709.52051, best error:     11694.32715 on epoch:    82, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 744.9138793945s, input_fired_time: 8.4577550888, output_fired_time: 5.4960188866, propagate_forward_time: 269.0928649902, propagate_backward_time: 452.3607177734, weight_update_time: 1.0284454823, other_time: 9.5065002441
epoch time: 55.5064773560s, input_fired_time: 0.7213960290, output_fired_time: 0.0000000000, propagate_forward_time: 52.2360267639, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5490531921
validation[          , genome  5568] predictions:    6179/  10000 (61.79%), best:    6160/10000 (61.60%), error:     11857.70605, best error:     11694.32715 on epoch:    82, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 740.6740112305s, input_fired_time: 6.4402070045, output_fired_time: 4.6923613548, propagate_forward_time: 270.8065795898, propagate_backward_time: 448.0942382813, weight_update_time: 1.0043867826, other_time: 10.6406250000
epoch time: 56.1809997559s, input_fired_time: 0.6306008101, output_fired_time: 0.0000000000, propagate_forward_time: 52.8670692444, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6833305359
validation[          , genome  5568] predictions:    6188/  10000 (61.88%), best:    6160/10000 (61.60%), error:     11722.22363, best error:     11694.32715 on epoch:    82, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 744.1508178711s, input_fired_time: 6.7628803253, output_fired_time: 4.7477703094, propagate_forward_time: 270.2974548340, propagate_backward_time: 453.2239074707, weight_update_time: 1.0006337166, other_time: 9.1188354492
epoch time: 56.3589706421s, input_fired_time: 0.8794559240, output_fired_time: 0.0000000000, propagate_forward_time: 54.1877326965, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2917823792
validation[          , genome  5568] predictions:    6165/  10000 (61.65%), best:    6160/10000 (61.60%), error:     11784.96094, best error:     11694.32715 on epoch:    82, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 749.6232299805s, input_fired_time: 6.3033289909, output_fired_time: 5.0749635696, propagate_forward_time: 274.7668151855, propagate_backward_time: 453.7232971191, weight_update_time: 0.9879628420, other_time: 9.7548217773
epoch time: 59.6183013916s, input_fired_time: 0.9232146740, output_fired_time: 0.0000000000, propagate_forward_time: 57.1088027954, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5862846375
validation[          , genome  5568] predictions:    6170/  10000 (61.70%), best:    6160/10000 (61.60%), error:     11821.90039, best error:     11694.32715 on epoch:    82, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 748.7610473633s, input_fired_time: 6.5634660721, output_fired_time: 4.9144644737, propagate_forward_time: 268.5432434082, propagate_backward_time: 458.7875366211, weight_update_time: 1.0488991737, other_time: 9.9523010254
epoch time: 56.4934577942s, input_fired_time: 0.8363981247, output_fired_time: 0.0000000000, propagate_forward_time: 54.2172889709, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4397697449
validation[          , genome  5568] predictions:    6149/  10000 (61.49%), best:    6160/10000 (61.60%), error:     11879.92383, best error:     11694.32715 on epoch:    82, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 743.2323608398s, input_fired_time: 6.5441074371, output_fired_time: 4.6673059464, propagate_forward_time: 266.2125549316, propagate_backward_time: 456.4078063965, weight_update_time: 0.9277787805, other_time: 9.4005737305
epoch time: 56.7498474121s, input_fired_time: 0.9112737179, output_fired_time: 0.0000000000, propagate_forward_time: 53.8939819336, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9445915222
validation[          , genome  5568] predictions:    6172/  10000 (61.72%), best:    6160/10000 (61.60%), error:     11796.16602, best error:     11694.32715 on epoch:    82, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 742.9150390625s, input_fired_time: 6.4316277504, output_fired_time: 4.9127049446, propagate_forward_time: 268.2654724121, propagate_backward_time: 453.7222900391, weight_update_time: 0.9175987244, other_time: 9.5829162598
epoch time: 56.8314933777s, input_fired_time: 0.7778424025, output_fired_time: 0.0000000000, propagate_forward_time: 54.3512268066, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7024230957
validation[          , genome  5568] predictions:    6217/  10000 (62.17%), best:    6160/10000 (61.60%), error:     11714.35254, best error:     11694.32715 on epoch:    82, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 746.8568115234s, input_fired_time: 6.4656047821, output_fired_time: 4.7219762802, propagate_forward_time: 266.2200012207, propagate_backward_time: 458.9958801270, weight_update_time: 0.9255232215, other_time: 10.4533691406
epoch time: 55.8710556030s, input_fired_time: 0.8900500536, output_fired_time: 0.0000000000, propagate_forward_time: 53.4948921204, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4861145020
validation[          , genome  5568] predictions:    6233/  10000 (62.33%), best:    6233/10000 (62.33%), error:     11662.98926, best error:     11662.98926 on epoch:    92, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 747.5714721680s, input_fired_time: 6.5998420715, output_fired_time: 4.8179039955, propagate_forward_time: 266.6298522949, propagate_backward_time: 460.0104064941, weight_update_time: 0.9845910668, other_time: 9.5134277344
epoch time: 53.9979896545s, input_fired_time: 0.7628710270, output_fired_time: 0.0000000000, propagate_forward_time: 51.7943229675, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4407958984
validation[          , genome  5568] predictions:    6137/  10000 (61.37%), best:    6233/10000 (62.33%), error:     11767.99219, best error:     11662.98926 on epoch:    92, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 748.4447631836s, input_fired_time: 6.5925426483, output_fired_time: 5.8859968185, propagate_forward_time: 263.6789245605, propagate_backward_time: 462.5944213867, weight_update_time: 0.9444000125, other_time: 9.6929016113
epoch time: 56.3967933655s, input_fired_time: 0.7748333812, output_fired_time: 0.0000000000, propagate_forward_time: 53.9712028503, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6507568359
validation[          , genome  5568] predictions:    6182/  10000 (61.82%), best:    6233/10000 (62.33%), error:     11775.46582, best error:     11662.98926 on epoch:    92, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 748.2456054688s, input_fired_time: 7.4401717186, output_fired_time: 4.9329686165, propagate_forward_time: 268.0017395020, propagate_backward_time: 457.2426147461, weight_update_time: 1.1583533287, other_time: 10.6280822754
epoch time: 56.5586166382s, input_fired_time: 0.8034024239, output_fired_time: 0.0000000000, propagate_forward_time: 53.6947441101, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0604705811
validation[          , genome  5568] predictions:    6180/  10000 (61.80%), best:    6233/10000 (62.33%), error:     11802.01074, best error:     11662.98926 on epoch:    92, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 747.1955566406s, input_fired_time: 6.9712228775, output_fired_time: 5.7488799095, propagate_forward_time: 267.6269226074, propagate_backward_time: 457.3072509766, weight_update_time: 1.0390927792, other_time: 9.5412292480
epoch time: 56.5372238159s, input_fired_time: 1.8324370384, output_fired_time: 0.0000000000, propagate_forward_time: 51.8232727051, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8815155029
validation[          , genome  5568] predictions:    6175/  10000 (61.75%), best:    6233/10000 (62.33%), error:     11786.80664, best error:     11662.98926 on epoch:    92, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 745.7885131836s, input_fired_time: 6.3457221985, output_fired_time: 4.9173617363, propagate_forward_time: 271.1969909668, propagate_backward_time: 453.1631774902, weight_update_time: 1.0214060545, other_time: 10.1652832031
epoch time: 56.2599449158s, input_fired_time: 0.6862989664, output_fired_time: 0.0000000000, propagate_forward_time: 52.8516769409, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7219696045
validation[          , genome  5568] predictions:    6224/  10000 (62.24%), best:    6233/10000 (62.33%), error:     11719.36914, best error:     11662.98926 on epoch:    92, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 748.0194702148s, input_fired_time: 7.5826587677, output_fired_time: 5.2014040947, propagate_forward_time: 267.3998107910, propagate_backward_time: 456.0251159668, weight_update_time: 0.9829624295, other_time: 11.8104858398
epoch time: 55.5237770081s, input_fired_time: 0.9529840350, output_fired_time: 0.0000000000, propagate_forward_time: 52.9503974915, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6203956604
validation[          , genome  5568] predictions:    6188/  10000 (61.88%), best:    6233/10000 (62.33%), error:     11774.71680, best error:     11662.98926 on epoch:    92, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 747.0666503906s, input_fired_time: 6.4390635490, output_fired_time: 5.8591890335, propagate_forward_time: 263.6285095215, propagate_backward_time: 459.7379455566, weight_update_time: 1.0645121336, other_time: 11.4019165039
epoch time: 55.4152412415s, input_fired_time: 0.8773118258, output_fired_time: 0.0000000000, propagate_forward_time: 52.7808570862, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7570724487
validation[          , genome  5568] predictions:    6174/  10000 (61.74%), best:    6233/10000 (62.33%), error:     11775.87109, best error:     11662.98926 on epoch:    92, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 747.4120483398s, input_fired_time: 6.5533294678, output_fired_time: 5.9443120956, propagate_forward_time: 267.8428039551, propagate_backward_time: 456.6868896484, weight_update_time: 0.8793259263, other_time: 10.3846740723
epoch time: 56.4250373840s, input_fired_time: 0.7093804479, output_fired_time: 0.0000000000, propagate_forward_time: 53.7469787598, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9686775208
validation[          , genome  5568] predictions:    6179/  10000 (61.79%), best:    6233/10000 (62.33%), error:     11882.46289, best error:     11662.98926 on epoch:    92, epoch:  100/100, mu: 0.9870989323, learning_rate: 0.0000740065, weight_decay: 0.0000029603

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 280.5530700684s, input_fired_time: 3.9236798286, output_fired_time: 0.0000000000, propagate_forward_time: 266.9456787109, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.6837158203
best training[          , genome  5568] predictions:   40116/  50000 (80.23%), best:    6233/10000 (62.33%), error:     30364.71875, best error:     11662.98926 on epoch:    92, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 56.8493499756s, input_fired_time: 0.9085350037, output_fired_time: 0.0000000000, propagate_forward_time: 54.4681892395, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4726257324
   testing[          , genome  5568] predictions:    6233/  10000 (62.33%), best:    6233/10000 (62.33%), error:     11662.98926, best error:     11662.98926 on epoch:    92, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
07:42:53 (18360): called boinc_finish(0)

</stderr_txt>
]]>