Nameexact_genome_1542495604_170_6222_0
Workunit4096825
Created18 Nov 2018, 8:25:34 UTC
Sent18 Nov 2018, 9:12:15 UTC
Report deadline12 Dec 2018, 16:14:16 UTC
Received22 Nov 2018, 0:01:47 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID83973
Run time20 hours 50 min 39 sec
CPU time20 hours 43 min 12 sec
Validate stateValid
Credit6,073.27
Device peak FLOPS2.50 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size563.65 MB
Peak swap size583.32 MB
Peak disk usage10.45 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_1542495604_170_6222.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_170_6222_0_r549025983_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542495604_170_6222.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.461545
read mu: 0.461545
read mu_delta: 0.936425
read initial_learning_rate: 0.000231083
read learning_rate: 0.000231083
read learning_rate_delta: 0.90555
read initial_weight_decay: 0.00018203
read weight_decay: 0.00018203
read weight_decay_delta: 0.924462
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.0517444
read input_dropout_probability: 0.00155507
read hidden_dropout_probability: 0.0782609
read velocity_reset: 1377
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: 6222
read normal distribution: '0 0.363816797733307 -0.58909660577774'
generator_str: '1799703520'
read generator: 1799703520
read generated_by_map:
1 add_node 1
reading 94 nodes.
reading 339 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: 309892645
post shuffle 1: 733704013
epoch time: 2915.2666015625s, input_fired_time: 44.7729568481445, output_fired_time: 23.0289039611816, propagate_forward_time: 1117.92907714844, propagate_backward_time: 1697.86547851563, weight_update_time: 0.638170063495636, other_time: 31.6702880859375
epoch time: 237.794342041016s, input_fired_time: 4.09695768356323, output_fired_time: 0, propagate_forward_time: 228.006057739258, propagate_backward_time: 0, weight_update_time: 0, other_time: 5.69132995605469
validation[          , genome  6222] predictions:    6286/  10000 (62.86%), best:    6286/10000 (62.86%), error:     10792.37402, best error:     10792.37402 on epoch:     0, epoch:    0/25, mu: 0.4615452290, learning_rate: 0.0002310830, weight_decay: 0.0001820300

epoch time: 2899.3552246094s, input_fired_time: 45.3255081177, output_fired_time: 24.0326786041, propagate_forward_time: 1104.6151123047, propagate_backward_time: 1690.3946533203, weight_update_time: 0.6364308596, other_time: 34.9873046875
epoch time: 235.8786315918s, input_fired_time: 3.0876822472, output_fired_time: 0.0000000000, propagate_forward_time: 227.1614532471, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.6295013428
validation[          , genome  6222] predictions:    6273/  10000 (62.73%), best:    6286/10000 (62.86%), error:     10881.32422, best error:     10792.37402 on epoch:     0, epoch:    1/25, mu: 0.4951416254, learning_rate: 0.0002092573, weight_decay: 0.0001682798

epoch time: 2904.5615234375s, input_fired_time: 37.1568260193, output_fired_time: 22.8469982147, propagate_forward_time: 1111.9434814453, propagate_backward_time: 1695.0180664063, weight_update_time: 0.6328670382, other_time: 37.5963134766
epoch time: 228.6861267090s, input_fired_time: 2.9600539207, output_fired_time: 0.0000000000, propagate_forward_time: 220.2925567627, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.4335174561
validation[          , genome  6222] predictions:    6331/  10000 (63.31%), best:    6331/10000 (63.31%), error:     10780.10059, best error:     10780.10059 on epoch:     2, epoch:    2/25, mu: 0.5266021490, learning_rate: 0.0001894930, weight_decay: 0.0001555682

epoch time: 2934.0556640625s, input_fired_time: 43.3622322083, output_fired_time: 21.8178997040, propagate_forward_time: 1128.7872314453, propagate_backward_time: 1707.9730224609, weight_update_time: 0.6243991852, other_time: 32.1152343750
epoch time: 228.3522033691s, input_fired_time: 2.9845967293, output_fired_time: 0.0000000000, propagate_forward_time: 218.8128051758, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.5547943115
validation[          , genome  6222] predictions:    6240/  10000 (62.40%), best:    6331/10000 (63.31%), error:     11004.22168, best error:     10780.10059 on epoch:     2, epoch:    3/25, mu: 0.5560625792, learning_rate: 0.0001715954, weight_decay: 0.0001438168

epoch time: 2901.7041015625s, input_fired_time: 37.9492683411, output_fired_time: 22.7017955780, propagate_forward_time: 1110.4356689453, propagate_backward_time: 1695.1260986328, weight_update_time: 0.6453996301, other_time: 35.4912109375
epoch time: 234.7454376221s, input_fired_time: 3.0556440353, output_fired_time: 0.0000000000, propagate_forward_time: 226.0337677002, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.6560211182
validation[          , genome  6222] predictions:    6264/  10000 (62.64%), best:    6331/10000 (63.31%), error:     11049.47949, best error:     10780.10059 on epoch:     2, epoch:    4/25, mu: 0.5836500525, learning_rate: 0.0001553883, weight_decay: 0.0001329532

epoch time: 2903.1916503906s, input_fired_time: 46.5942687988, output_fired_time: 24.9860363007, propagate_forward_time: 1115.9860839844, propagate_backward_time: 1681.1740722656, weight_update_time: 0.6315870881, other_time: 34.4511718750
epoch time: 236.9641418457s, input_fired_time: 3.1372251511, output_fired_time: 0.0000000000, propagate_forward_time: 227.7331542969, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.0937652588
validation[          , genome  6222] predictions:    6215/  10000 (62.15%), best:    6331/10000 (63.31%), error:     11075.71289, best error:     10780.10059 on epoch:     2, epoch:    5/25, mu: 0.6094836593, learning_rate: 0.0001407119, weight_decay: 0.0001229101

epoch time: 2900.9721679688s, input_fired_time: 40.3095245361, output_fired_time: 25.2604904175, propagate_forward_time: 1106.9865722656, propagate_backward_time: 1692.4854736328, weight_update_time: 0.6400197148, other_time: 35.9300537109
epoch time: 235.2183837891s, input_fired_time: 5.1519684792, output_fired_time: 0.0000000000, propagate_forward_time: 224.3239593506, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.7424621582
validation[          , genome  6222] predictions:    6233/  10000 (62.33%), best:    6331/10000 (63.31%), error:     10989.59473, best error:     10780.10059 on epoch:     2, epoch:    6/25, mu: 0.6336749196, learning_rate: 0.0001274217, weight_decay: 0.0001136257

epoch time: 2926.3728027344s, input_fired_time: 38.5930519104, output_fired_time: 22.7347717285, propagate_forward_time: 1121.3582763672, propagate_backward_time: 1707.7325439453, weight_update_time: 0.6486038566, other_time: 35.9541015625
epoch time: 228.0956420898s, input_fired_time: 4.0135960579, output_fired_time: 0.0000000000, propagate_forward_time: 217.7805633545, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.3014831543
validation[          , genome  6222] predictions:    6241/  10000 (62.41%), best:    6331/10000 (63.31%), error:     11014.60938, best error:     10780.10059 on epoch:     2, epoch:    7/25, mu: 0.6563282013, learning_rate: 0.0001153867, weight_decay: 0.0001050426

epoch time: 2886.7646484375s, input_fired_time: 38.8669624329, output_fired_time: 21.8836498260, propagate_forward_time: 1106.9362792969, propagate_backward_time: 1685.7102050781, weight_update_time: 0.6363438964, other_time: 33.3676757813
epoch time: 237.1169891357s, input_fired_time: 3.0569720268, output_fired_time: 0.0000000000, propagate_forward_time: 227.5254669189, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.5345458984
validation[          , genome  6222] predictions:    6254/  10000 (62.54%), best:    6331/10000 (63.31%), error:     10990.22559, best error:     10780.10059 on epoch:     2, epoch:    8/25, mu: 0.6775413156, learning_rate: 0.0001044885, weight_decay: 0.0000971079

epoch time: 2903.6098632813s, input_fired_time: 41.1786689758, output_fired_time: 23.9780654907, propagate_forward_time: 1108.2852783203, propagate_backward_time: 1691.4028320313, weight_update_time: 0.6326513886, other_time: 38.7650146484
epoch time: 237.0808410645s, input_fired_time: 4.9589991570, output_fired_time: 0.0000000000, propagate_forward_time: 225.9047241211, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.2171173096
validation[          , genome  6222] predictions:    6230/  10000 (62.30%), best:    6331/10000 (63.31%), error:     11034.10059, best error:     10780.10059 on epoch:     2, epoch:    9/25, mu: 0.6974058151, learning_rate: 0.0000946196, weight_decay: 0.0000897725

epoch time: 2890.3789062500s, input_fired_time: 37.7754135132, output_fired_time: 21.8792114258, propagate_forward_time: 1111.8837890625, propagate_backward_time: 1684.1425781250, weight_update_time: 0.6294487715, other_time: 34.6979980469
epoch time: 236.8942565918s, input_fired_time: 4.1113905907, output_fired_time: 0.0000000000, propagate_forward_time: 227.0517272949, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.7311401367
validation[          , genome  6222] predictions:    6160/  10000 (61.60%), best:    6331/10000 (63.31%), error:     11108.40527, best error:     10780.10059 on epoch:     2, epoch:   10/25, mu: 0.7160074115, learning_rate: 0.0000856828, weight_decay: 0.0000829913

epoch time: 2880.0366210938s, input_fired_time: 35.7951049805, output_fired_time: 25.6870269775, propagate_forward_time: 1106.9663085938, propagate_backward_time: 1678.5512695313, weight_update_time: 0.6296735406, other_time: 33.0368652344
epoch time: 234.5229187012s, input_fired_time: 3.0760273933, output_fired_time: 0.0000000000, propagate_forward_time: 223.6937103271, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.7531738281
validation[          , genome  6222] predictions:    6022/  10000 (60.22%), best:    6331/10000 (63.31%), error:     11563.02734, best error:     10780.10059 on epoch:     2, epoch:   11/25, mu: 0.7334264517, learning_rate: 0.0000775901, weight_decay: 0.0000767222

epoch time: 2892.0649414063s, input_fired_time: 39.9249877930, output_fired_time: 23.0564727783, propagate_forward_time: 1102.3474121094, propagate_backward_time: 1688.4556884766, weight_update_time: 0.6321541667, other_time: 38.2803955078
epoch time: 233.8225097656s, input_fired_time: 5.0966506004, output_fired_time: 0.0000000000, propagate_forward_time: 223.1451568604, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5807037354
validation[          , genome  6222] predictions:    6163/  10000 (61.63%), best:    6331/10000 (63.31%), error:     11265.34961, best error:     10780.10059 on epoch:     2, epoch:   12/25, mu: 0.7497380376, learning_rate: 0.0000702617, weight_decay: 0.0000709268

epoch time: 2891.5976562500s, input_fired_time: 40.0401229858, output_fired_time: 22.8326644897, propagate_forward_time: 1108.6898193359, propagate_backward_time: 1685.6700439453, weight_update_time: 0.6315671206, other_time: 34.3649902344
epoch time: 225.7447357178s, input_fired_time: 2.8770675659, output_fired_time: 0.0000000000, propagate_forward_time: 217.5485382080, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.3191375732
validation[          , genome  6222] predictions:    6272/  10000 (62.72%), best:    6331/10000 (63.31%), error:     10960.06641, best error:     10780.10059 on epoch:     2, epoch:   13/25, mu: 0.7650126219, learning_rate: 0.0000636255, weight_decay: 0.0000655691

epoch time: 2904.3027343750s, input_fired_time: 39.6123962402, output_fired_time: 21.9924449921, propagate_forward_time: 1111.1657714844, propagate_backward_time: 1692.9340820313, weight_update_time: 0.6360402703, other_time: 38.5981445313
epoch time: 230.4916687012s, input_fired_time: 2.9813227654, output_fired_time: 0.0000000000, propagate_forward_time: 222.0665740967, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.4437713623
validation[          , genome  6222] predictions:    6220/  10000 (62.20%), best:    6331/10000 (63.31%), error:     11063.04297, best error:     10780.10059 on epoch:     2, epoch:   14/25, mu: 0.7793161273, learning_rate: 0.0000576161, weight_decay: 0.0000606161

epoch time: 2898.2568359375s, input_fired_time: 42.1237754822, output_fired_time: 22.0305118561, propagate_forward_time: 1099.5047607422, propagate_backward_time: 1704.1669921875, weight_update_time: 0.6359841228, other_time: 30.4307861328
epoch time: 230.0199584961s, input_fired_time: 2.9325602055, output_fired_time: 0.0000000000, propagate_forward_time: 221.6738739014, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.4135284424
validation[          , genome  6222] predictions:    6160/  10000 (61.60%), best:    6331/10000 (63.31%), error:     11088.87109, best error:     10780.10059 on epoch:     2, epoch:   15/25, mu: 0.7927103043, learning_rate: 0.0000521743, weight_decay: 0.0000560373

epoch time: 2879.2624511719s, input_fired_time: 41.6670036316, output_fired_time: 23.5590438843, propagate_forward_time: 1107.7261962891, propagate_backward_time: 1672.8565673828, weight_update_time: 0.6488847733, other_time: 33.4536132813
epoch time: 233.1722869873s, input_fired_time: 3.0278975964, output_fired_time: 0.0000000000, propagate_forward_time: 224.5672607422, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5771331787
validation[          , genome  6222] predictions:    6268/  10000 (62.68%), best:    6331/10000 (63.31%), error:     10937.04785, best error:     10780.10059 on epoch:     2, epoch:   16/25, mu: 0.8052529693, learning_rate: 0.0000472464, weight_decay: 0.0000518043

epoch time: 2911.8615722656s, input_fired_time: 42.0138931274, output_fired_time: 23.8437767029, propagate_forward_time: 1102.6616210938, propagate_backward_time: 1710.0865478516, weight_update_time: 0.6406850815, other_time: 33.2557373047
epoch time: 229.2830352783s, input_fired_time: 2.9055910110, output_fired_time: 0.0000000000, propagate_forward_time: 219.7840881348, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.5933532715
validation[          , genome  6222] predictions:    6247/  10000 (62.47%), best:    6331/10000 (63.31%), error:     11050.67773, best error:     10780.10059 on epoch:     2, epoch:   17/25, mu: 0.8169982433, learning_rate: 0.0000427840, weight_decay: 0.0000478911

epoch time: 2942.8049316406s, input_fired_time: 41.0168571472, output_fired_time: 21.8279552460, propagate_forward_time: 1128.2298583984, propagate_backward_time: 1713.9995117188, weight_update_time: 0.6496586800, other_time: 37.7308349609
epoch time: 239.1544647217s, input_fired_time: 3.1911485195, output_fired_time: 0.0000000000, propagate_forward_time: 229.6896209717, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.2736968994
validation[          , genome  6222] predictions:    6287/  10000 (62.87%), best:    6331/10000 (63.31%), error:     11025.18262, best error:     10780.10059 on epoch:     2, epoch:   18/25, mu: 0.8279967904, learning_rate: 0.0000387431, weight_decay: 0.0000442735

epoch time: 2924.2546386719s, input_fired_time: 41.4209251404, output_fired_time: 25.1810951233, propagate_forward_time: 1127.3426513672, propagate_backward_time: 1694.7084960938, weight_update_time: 0.6401455998, other_time: 35.6014404297
epoch time: 238.5644531250s, input_fired_time: 4.2282433510, output_fired_time: 0.0000000000, propagate_forward_time: 228.6049499512, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.7312622070
validation[          , genome  6222] predictions:    6281/  10000 (62.81%), best:    6331/10000 (63.31%), error:     10938.09082, best error:     10780.10059 on epoch:     2, epoch:   19/25, mu: 0.8382961154, learning_rate: 0.0000350838, weight_decay: 0.0000409291

epoch time: 2927.1752929688s, input_fired_time: 39.5716362000, output_fired_time: 24.0340576172, propagate_forward_time: 1130.1928710938, propagate_backward_time: 1697.4632568359, weight_update_time: 0.6474918723, other_time: 35.9136962891
epoch time: 233.7242736816s, input_fired_time: 3.0564136505, output_fired_time: 0.0000000000, propagate_forward_time: 223.9546203613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.7132415771
validation[          , genome  6222] predictions:    6139/  10000 (61.39%), best:    6331/10000 (63.31%), error:     11323.02148, best error:     10780.10059 on epoch:     2, epoch:   20/25, mu: 0.8479406834, learning_rate: 0.0000317701, weight_decay: 0.0000378374

epoch time: 3001.9782714844s, input_fired_time: 40.9959487915, output_fired_time: 25.2225799561, propagate_forward_time: 1162.8709716797, propagate_backward_time: 1727.8795166016, weight_update_time: 0.6424000859, other_time: 45.0092773438
epoch time: 239.4074554443s, input_fired_time: 4.1722984314, output_fired_time: 0.0000000000, propagate_forward_time: 229.0251617432, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.2099914551
validation[          , genome  6222] predictions:    6289/  10000 (62.89%), best:    6331/10000 (63.31%), error:     10818.31836, best error:     10780.10059 on epoch:     2, epoch:   21/25, mu: 0.8569720984, learning_rate: 0.0000287694, weight_decay: 0.0000349793

epoch time: 2966.8635253906s, input_fired_time: 40.1766395569, output_fired_time: 23.4962329865, propagate_forward_time: 1145.6312255859, propagate_backward_time: 1720.4334716797, weight_update_time: 0.6593257189, other_time: 37.1257324219
epoch time: 240.4123687744s, input_fired_time: 3.1076912880, output_fired_time: 0.0000000000, propagate_forward_time: 228.2522735596, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.0523986816
validation[          , genome  6222] predictions:    6293/  10000 (62.93%), best:    6331/10000 (63.31%), error:     10939.70313, best error:     10780.10059 on epoch:     2, epoch:   22/25, mu: 0.8654293418, learning_rate: 0.0000260522, weight_decay: 0.0000323370

epoch time: 2926.1752929688s, input_fired_time: 41.2014579773, output_fired_time: 24.0942935944, propagate_forward_time: 1128.8753662109, propagate_backward_time: 1700.1795654297, weight_update_time: 0.6487390399, other_time: 31.8247070313
epoch time: 235.8234100342s, input_fired_time: 3.0919883251, output_fired_time: 0.0000000000, propagate_forward_time: 226.9674072266, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.7640075684
validation[          , genome  6222] predictions:    6298/  10000 (62.98%), best:    6331/10000 (63.31%), error:     10916.96289, best error:     10780.10059 on epoch:     2, epoch:   23/25, mu: 0.8733488917, learning_rate: 0.0000235916, weight_decay: 0.0000298943

epoch time: 2932.2795410156s, input_fired_time: 40.5832023621, output_fired_time: 23.2091617584, propagate_forward_time: 1128.4548339844, propagate_backward_time: 1704.1735839844, weight_update_time: 0.6499057412, other_time: 35.8586425781
epoch time: 236.6963195801s, input_fired_time: 4.0705056190, output_fired_time: 0.0000000000, propagate_forward_time: 225.8694763184, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.7563323975
validation[          , genome  6222] predictions:    6209/  10000 (62.09%), best:    6331/10000 (63.31%), error:     10922.30371, best error:     10780.10059 on epoch:     2, epoch:   24/25, mu: 0.8807649612, learning_rate: 0.0000213633, weight_decay: 0.0000276361

epoch time: 2925.9829101563s, input_fired_time: 40.2320480347, output_fired_time: 23.2029247284, propagate_forward_time: 1126.5472412109, propagate_backward_time: 1700.0461425781, weight_update_time: 1.6361737251, other_time: 35.9547119141
epoch time: 238.4493560791s, input_fired_time: 4.2779703140, output_fired_time: 0.0000000000, propagate_forward_time: 227.1992340088, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.9721527100
validation[          , genome  6222] predictions:    6310/  10000 (63.10%), best:    6310/10000 (63.10%), error:     10766.96680, best error:     10766.96680 on epoch:    25, epoch:   25/25, mu: 0.8877095580, learning_rate: 0.0000193456, weight_decay: 0.0000255486

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 1180.7597656250s, input_fired_time: 15.5269670486, output_fired_time: 0.0000000000, propagate_forward_time: 1133.8521728516, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 31.3806152344
best training[          , genome  6222] predictions:   33952/  50000 (67.90%), best:    6310/10000 (63.10%), error:     48987.72656, best error:     10766.96680 on epoch:    25, epoch:   26/25, mu: 0.8942126632, learning_rate: 0.0000175184, weight_decay: 0.0000236187
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 245.8992767334s, input_fired_time: 3.1877958775, output_fired_time: 0.0000000000, propagate_forward_time: 231.2315368652, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.4799499512
   testing[          , genome  6222] predictions:    6310/  10000 (63.10%), best:    6310/10000 (63.10%), error:     10766.96680, best error:     10766.96680 on epoch:    25, epoch:   26/25, mu: 0.8942126632, learning_rate: 0.0000175184, weight_decay: 0.0000236187
backpropagation finished successfully!
18:01:28 (9200): called boinc_finish(0)

</stderr_txt>
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