Nameexact_genome_1512568488_42_6969_0
Workunit2606046
Created7 Dec 2017, 22:56:09 UTC
Sent7 Dec 2017, 23:00:50 UTC
Report deadline19 Dec 2017, 1:20:51 UTC
Received8 Dec 2017, 14:27:07 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID57838
Run time3 hours 55 min 20 sec
CPU time3 hours 55 min 3 sec
Validate stateValid
Credit2,774.31
Device peak FLOPS3.70 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33

Stderr output

<core_client_version>7.2.42</core_client_version>
<![CDATA[
<stderr_txt>
ght_decay: 0.0001386948

epoch time: 126.4924316406s, input_fired_time: 1.3958042860, output_fired_time: 1.1375883818, propagate_forward_time: 46.0300483704, propagate_backward_time: 75.5803451538, weight_update_time: 0.1358889192, other_time: 2.3486404419
epoch time: 9.7814722061s, input_fired_time: 0.1411584318, output_fired_time: 0.0000000000, propagate_forward_time: 9.2069139481, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4334001541
validation[          , genome  6969] predictions:    9756/  10000 (97.56%), best:    9782/10000 (97.82%), error:       768.60199, best error:       743.46301 on epoch:    25, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 126.6846237183s, input_fired_time: 1.3971034288, output_fired_time: 1.1394473314, propagate_forward_time: 46.0833320618, propagate_backward_time: 75.7075195312, weight_update_time: 0.1362039596, other_time: 2.3572235107
epoch time: 9.8053150177s, input_fired_time: 0.1412158459, output_fired_time: 0.0000000000, propagate_forward_time: 9.2293682098, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4347305298
validation[          , genome  6969] predictions:    9760/  10000 (97.60%), best:    9782/10000 (97.82%), error:       746.50500, best error:       743.46301 on epoch:    25, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 127.0200729370s, input_fired_time: 1.4011484385, output_fired_time: 1.1411570311, propagate_forward_time: 46.1482467651, propagate_backward_time: 75.9697265625, weight_update_time: 0.1365158558, other_time: 2.3597946167
epoch time: 9.8025074005s, input_fired_time: 0.1429118365, output_fired_time: 0.0000000000, propagate_forward_time: 9.2250442505, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4345512390
validation[          , genome  6969] predictions:    9778/  10000 (97.78%), best:    9782/10000 (97.82%), error:       746.76880, best error:       743.46301 on epoch:    25, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 127.1617736816s, input_fired_time: 1.3996254206, output_fired_time: 1.1414057016, propagate_forward_time: 46.1622009277, propagate_backward_time: 76.1000137329, weight_update_time: 0.1364289671, other_time: 2.3585281372
epoch time: 9.8079605103s, input_fired_time: 0.1432178915, output_fired_time: 0.0000000000, propagate_forward_time: 9.2304773331, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4342651367
validation[          , genome  6969] predictions:    9763/  10000 (97.63%), best:    9782/10000 (97.82%), error:       813.43140, best error:       743.46301 on epoch:    25, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 127.2095260620s, input_fired_time: 1.4024519920, output_fired_time: 1.1418453455, propagate_forward_time: 46.1702384949, propagate_backward_time: 76.1351470947, weight_update_time: 0.1367598176, other_time: 2.3598480225
epoch time: 9.8039464951s, input_fired_time: 0.1403629780, output_fired_time: 0.0000000000, propagate_forward_time: 9.2293310165, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4342527390
validation[          , genome  6969] predictions:    9774/  10000 (97.74%), best:    9782/10000 (97.82%), error:       760.74597, best error:       743.46301 on epoch:    25, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 127.2705612183s, input_fired_time: 1.4018460512, output_fired_time: 1.1415278912, propagate_forward_time: 46.1549568176, propagate_backward_time: 76.2169418335, weight_update_time: 0.1360282600, other_time: 2.3552932739
epoch time: 9.8020935059s, input_fired_time: 0.1421429068, output_fired_time: 0.0000000000, propagate_forward_time: 9.2253570557, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4345932007
validation[          , genome  6969] predictions:    9769/  10000 (97.69%), best:    9782/10000 (97.82%), error:       792.69427, best error:       743.46301 on epoch:    25, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 127.4095382690s, input_fired_time: 1.4028393030, output_fired_time: 1.1419867277, propagate_forward_time: 46.1654891968, propagate_backward_time: 76.3391799927, weight_update_time: 0.1363472193, other_time: 2.3600463867
epoch time: 9.7982559204s, input_fired_time: 0.1420289129, output_fired_time: 0.0000000000, propagate_forward_time: 9.2216806412, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4345464706
validation[          , genome  6969] predictions:    9743/  10000 (97.43%), best:    9782/10000 (97.82%), error:       829.01532, best error:       743.46301 on epoch:    25, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 127.5195465088s, input_fired_time: 1.4056602716, output_fired_time: 1.1410365105, propagate_forward_time: 46.1538200378, propagate_backward_time: 76.4624328613, weight_update_time: 0.1369056702, other_time: 2.3565979004
epoch time: 9.8077821732s, input_fired_time: 0.1409269720, output_fired_time: 0.0000000000, propagate_forward_time: 9.2316455841, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4352092743
validation[          , genome  6969] predictions:    9716/  10000 (97.16%), best:    9782/10000 (97.82%), error:       944.90918, best error:       743.46301 on epoch:    25, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 127.5904083252s, input_fired_time: 1.4061558247, output_fired_time: 1.1416294575, propagate_forward_time: 46.1404876709, propagate_backward_time: 76.5432052612, weight_update_time: 0.1367371082, other_time: 2.3589248657
epoch time: 9.7855405807s, input_fired_time: 0.1422174573, output_fired_time: 0.0000000000, propagate_forward_time: 9.2099218369, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4334011078
validation[          , genome  6969] predictions:    9758/  10000 (97.58%), best:    9782/10000 (97.82%), error:       800.27643, best error:       743.46301 on epoch:    25, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 127.9120407104s, input_fired_time: 1.4121069908, output_fired_time: 1.1448776722, propagate_forward_time: 46.2928504944, propagate_backward_time: 76.6935501099, weight_update_time: 0.1372013241, other_time: 2.3686599731
epoch time: 9.8301010132s, input_fired_time: 0.1423776597, output_fired_time: 0.0000000000, propagate_forward_time: 9.2509498596, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4367733002
validation[          , genome  6969] predictions:    9772/  10000 (97.72%), best:    9772/10000 (97.72%), error:       732.40802, best error:       732.40802 on epoch:    35, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 127.7509384155s, input_fired_time: 1.4088401794, output_fired_time: 1.1417237520, propagate_forward_time: 46.1715736389, propagate_backward_time: 76.6679458618, weight_update_time: 0.1369188875, other_time: 2.3608627319
epoch time: 9.8275585175s, input_fired_time: 0.1469112337, output_fired_time: 0.0000000000, propagate_forward_time: 9.2435626984, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4370841980
validation[          , genome  6969] predictions:    9776/  10000 (97.76%), best:    9772/10000 (97.72%), error:       741.94513, best error:       732.40802 on epoch:    35, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 127.7937393188s, input_fired_time: 1.4056850672, output_fired_time: 1.1398555040, propagate_forward_time: 46.0916442871, propagate_backward_time: 76.8034057617, weight_update_time: 0.1359051615, other_time: 2.3531494141
epoch time: 9.7808694839s, input_fired_time: 0.1430445164, output_fired_time: 0.0000000000, propagate_forward_time: 9.2045345306, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4332904816
validation[          , genome  6969] predictions:    9753/  10000 (97.53%), best:    9772/10000 (97.72%), error:       794.45361, best error:       732.40802 on epoch:    35, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 127.6291885376s, input_fired_time: 1.4027426243, output_fired_time: 1.1385186911, propagate_forward_time: 46.0283432007, propagate_backward_time: 76.7068710327, weight_update_time: 0.1361488998, other_time: 2.3527145386
epoch time: 9.7771339417s, input_fired_time: 0.1403390616, output_fired_time: 0.0000000000, propagate_forward_time: 9.2030515671, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4337434769
validation[          , genome  6969] predictions:    9772/  10000 (97.72%), best:    9772/10000 (97.72%), error:       747.74445, best error:       732.40802 on epoch:    35, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 127.6475677490s, input_fired_time: 1.4024027586, output_fired_time: 1.1379224062, propagate_forward_time: 46.0294876099, propagate_backward_time: 76.7266311646, weight_update_time: 0.1363323182, other_time: 2.3511199951
epoch time: 9.7781915665s, input_fired_time: 0.1416762620, output_fired_time: 0.0000000000, propagate_forward_time: 9.2031936646, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4333219528
validation[          , genome  6969] predictions:    9677/  10000 (96.77%), best:    9772/10000 (97.72%), error:      1051.22290, best error:       732.40802 on epoch:    35, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 128.0875549316s, input_fired_time: 1.4105987549, output_fired_time: 1.1400821209, propagate_forward_time: 46.1494789124, propagate_backward_time: 77.0440826416, weight_update_time: 0.1350097358, other_time: 2.3433074951
epoch time: 9.8173198700s, input_fired_time: 0.1422688961, output_fired_time: 0.0000000000, propagate_forward_time: 9.2482986450, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4267520905
validation[          , genome  6969] predictions:    9784/  10000 (97.84%), best:    9784/10000 (97.84%), error:       715.65521, best error:       715.65521 on epoch:    40, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 132.1897888184s, input_fired_time: 1.4514309168, output_fired_time: 1.1715242863, propagate_forward_time: 47.6150665283, propagate_backward_time: 79.5704040527, weight_update_time: 0.1348833740, other_time: 2.3813629150
epoch time: 10.3549051285s, input_fired_time: 0.1484508216, output_fired_time: 0.0000000000, propagate_forward_time: 9.7561483383, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4503059387
validation[          , genome  6969] predictions:    9689/  10000 (96.89%), best:    9784/10000 (97.84%), error:       966.96277, best error:       715.65521 on epoch:    40, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_42_6969.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_42_6969_0_r186320404_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: 0.933169
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00144978
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 5.79911e-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: 42
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 40
read number_validation_images: 10000
read best_validation_predictions: 9784
read best_validation_error: 715.655
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: 6969
read normal distribution: '1 0 0'
generator_str: '599890777'
read generator: 599890777
read generated_by_map:
1 crossover 1
reading 37 nodes.
reading 113 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
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: 1x28x28 = 784
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: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 128.977416992188s, input_fired_time: 1.44738388061523, output_fired_time: 1.16705119609833, propagate_forward_time: 46.3659896850586, propagate_backward_time: 77.5192413330078, weight_update_time: 0.139427572488785, other_time: 2.47774505615234
epoch time: 9.87152767181396s, input_fired_time: 0.150864914059639, output_fired_time: 0, propagate_forward_time: 9.26393985748291, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.456723213195801
validation[          , genome  6969] predictions:    9793/  10000 (97.93%), best:    9793/10000 (97.93%), error:       677.63568, best error:       677.63568 on epoch:    42, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 128.9941558838s, input_fired_time: 1.4486603737, output_fired_time: 1.1669981480, propagate_forward_time: 46.3660621643, propagate_backward_time: 77.5467987061, weight_update_time: 0.1394753158, other_time: 2.4656372070
epoch time: 9.9061365128s, input_fired_time: 0.1530657113, output_fired_time: 0.0000000000, propagate_forward_time: 9.2920408249, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4610300064
validation[          , genome  6969] predictions:    9776/  10000 (97.76%), best:    9793/10000 (97.93%), error:       697.15735, best error:       677.63568 on epoch:    42, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 129.0066375732s, input_fired_time: 1.4503359795, output_fired_time: 1.1649461985, propagate_forward_time: 46.3353385925, propagate_backward_time: 77.6364669800, weight_update_time: 0.1383483112, other_time: 2.4195480347
epoch time: 9.8692960739s, input_fired_time: 0.1522750854, output_fired_time: 0.0000000000, propagate_forward_time: 9.2651424408, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4518785477
validation[          , genome  6969] predictions:    9781/  10000 (97.81%), best:    9793/10000 (97.93%), error:       701.72052, best error:       677.63568 on epoch:    42, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 128.6735229492s, input_fired_time: 1.4253238440, output_fired_time: 1.1485251188, propagate_forward_time: 46.2153244019, propagate_backward_time: 77.5272598267, weight_update_time: 0.1357646585, other_time: 2.3570938110
epoch time: 9.8264856339s, input_fired_time: 0.1458443105, output_fired_time: 0.0000000000, propagate_forward_time: 9.2426767349, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4379644394
validation[          , genome  6969] predictions:    9785/  10000 (97.85%), best:    9793/10000 (97.93%), error:       684.48944, best error:       677.63568 on epoch:    42, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 128.6370697021s, input_fired_time: 1.4154528379, output_fired_time: 1.1376416683, propagate_forward_time: 46.2552757263, propagate_backward_time: 77.5249633789, weight_update_time: 0.1298964471, other_time: 2.3037414551
epoch time: 9.8262786865s, input_fired_time: 0.1423378289, output_fired_time: 0.0000000000, propagate_forward_time: 9.2559700012, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4279708862
validation[          , genome  6969] predictions:    9765/  10000 (97.65%), best:    9793/10000 (97.93%), error:       770.02795, best error:       677.63568 on epoch:    42, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 128.5497131348s, input_fired_time: 1.4125213623, output_fired_time: 1.1364494562, propagate_forward_time: 46.2011909485, propagate_backward_time: 77.5059127808, weight_update_time: 0.1297820508, other_time: 2.2936325073
epoch time: 9.8043880463s, input_fired_time: 0.1433708072, output_fired_time: 0.0000000000, propagate_forward_time: 9.2347173691, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4263000488
validation[          , genome  6969] predictions:    9783/  10000 (97.83%), best:    9793/10000 (97.93%), error:       726.69641, best error:       677.63568 on epoch:    42, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 129.5358581543s, input_fired_time: 1.4383187294, output_fired_time: 1.1539318562, propagate_forward_time: 46.5221099854, propagate_backward_time: 78.0529022217, weight_update_time: 0.1343741715, other_time: 2.3685913086
epoch time: 9.8249616623s, input_fired_time: 0.1436016560, output_fired_time: 0.0000000000, propagate_forward_time: 9.2510738373, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4302864075
validation[          , genome  6969] predictions:    9789/  10000 (97.89%), best:    9793/10000 (97.93%), error:       690.66534, best error:       677.63568 on epoch:    42, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 133.8065032959s, input_fired_time: 1.4724140167, output_fired_time: 1.1833178997, propagate_forward_time: 48.0738525391, propagate_backward_time: 80.6615142822, weight_update_time: 0.1334852874, other_time: 2.4154052734
epoch time: 10.3614606857s, input_fired_time: 0.1519073248, output_fired_time: 0.0000000000, propagate_forward_time: 9.7582578659, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4512958527
validation[          , genome  6969] predictions:    9774/  10000 (97.74%), best:    9793/10000 (97.93%), error:       737.21826, best error:       677.63568 on epoch:    42, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 135.7376708984s, input_fired_time: 1.4907485247, output_fired_time: 1.1971070766, propagate_forward_time: 48.6909904480, propagate_backward_time: 81.9379653931, weight_update_time: 0.1339972466, other_time: 2.4208450317
epoch time: 10.3845434189s, input_fired_time: 0.1514084786, output_fired_time: 0.0000000000, propagate_forward_time: 9.7807779312, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4523572922
validation[          , genome  6969] predictions:    9777/  10000 (97.77%), best:    9793/10000 (97.93%), error:       743.89911, best error:       677.63568 on epoch:    42, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 137.0056762695s, input_fired_time: 1.5311089754, output_fired_time: 1.2250176668, propagate_forward_time: 49.0385246277, propagate_backward_time: 82.6745910645, weight_update_time: 0.1434855908, other_time: 2.5364227295
epoch time: 10.4526243210s, input_fired_time: 0.1631240845, output_fired_time: 0.0000000000, propagate_forward_time: 9.8036355972, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4858646393
validation[          , genome  6969] predictions:    9803/  10000 (98.03%), best:    9803/10000 (98.03%), error:       640.93030, best error:       640.93030 on epoch:    51, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 137.0709075928s, input_fired_time: 1.5498116016, output_fired_time: 1.2366846800, propagate_forward_time: 49.0156097412, propagate_backward_time: 82.6839218140, weight_update_time: 0.1489820629, other_time: 2.5848922729
epoch time: 10.4486103058s, input_fired_time: 0.1631805450, output_fired_time: 0.0000000000, propagate_forward_time: 9.8005065918, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4849233627
validation[          , genome  6969] predictions:    9763/  10000 (97.63%), best:    9803/10000 (98.03%), error:       751.70740, best error:       640.93030 on epoch:    51, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 133.8610382080s, input_fired_time: 1.5168412924, output_fired_time: 1.2102781534, propagate_forward_time: 47.8767852783, propagate_backward_time: 80.7420349121, weight_update_time: 0.1444331259, other_time: 2.5150909424
epoch time: 9.8180932999s, input_fired_time: 0.1531785429, output_fired_time: 0.0000000000, propagate_forward_time: 9.2155704498, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4493446350
validation[          , genome  6969] predictions:    9716/  10000 (97.16%), best:    9803/10000 (98.03%), error:       948.43018, best error:       640.93030 on epoch:    51, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 129.5006866455s, input_fired_time: 1.4579316378, output_fired_time: 1.1648327112, propagate_forward_time: 46.3435249329, propagate_backward_time: 78.1252059937, weight_update_time: 0.1386962980, other_time: 2.4091873169
epoch time: 9.8681402206s, input_fired_time: 0.1547804028, output_fired_time: 0.0000000000, propagate_forward_time: 9.2623682022, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4509916306
validation[          , genome  6969] predictions:    9779/  10000 (97.79%), best:    9803/10000 (98.03%), error:       696.30688, best error:       640.93030 on epoch:    51, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 129.4686126709s, input_fired_time: 1.4569809437, output_fired_time: 1.1641592979, propagate_forward_time: 46.3148193359, propagate_backward_time: 78.1325836182, weight_update_time: 0.1390427798, other_time: 2.4000625610
epoch time: 9.8648557663s, input_fired_time: 0.1516729444, output_fired_time: 0.0000000000, propagate_forward_time: 9.2619934082, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4511890411
validation[          , genome  6969] predictions:    9769/  10000 (97.69%), best:    9803/10000 (98.03%), error:       756.32532, best error:       640.93030 on epoch:    51, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 129.7601318359s, input_fired_time: 1.4646379948, output_fired_time: 1.1653754711, propagate_forward_time: 46.3882293701, propagate_backward_time: 78.3250732422, weight_update_time: 0.1396720856, other_time: 2.4168090820
epoch time: 9.8548040390s, input_fired_time: 0.1529718637, output_fired_time: 0.0000000000, propagate_forward_time: 9.2500209808, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4518108368
validation[          , genome  6969] predictions:    9787/  10000 (97.87%), best:    9803/10000 (98.03%), error:       671.86438, best error:       640.93030 on epoch:    51, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 129.4516601562s, input_fired_time: 1.4584046602, output_fired_time: 1.1639009714, propagate_forward_time: 46.2557411194, propagate_backward_time: 78.1712799072, weight_update_time: 0.1391912699, other_time: 2.4023284912
epoch time: 9.8533420563s, input_fired_time: 0.1534923464, output_fired_time: 0.0000000000, propagate_forward_time: 9.2489862442, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4508638382
validation[          , genome  6969] predictions:    9761/  10000 (97.61%), best:    9803/10000 (98.03%), error:       794.03973, best error:       640.93030 on epoch:    51, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 129.4326019287s, input_fired_time: 1.4576621056, output_fired_time: 1.1632159948, propagate_forward_time: 46.2450332642, propagate_backward_time: 78.1641921997, weight_update_time: 0.1393645555, other_time: 2.4024963379
epoch time: 9.8525714874s, input_fired_time: 0.1538949460, output_fired_time: 0.0000000000, propagate_forward_time: 9.2468137741, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4518623352
validation[          , genome  6969] predictions:    9775/  10000 (97.75%), best:    9803/10000 (98.03%), error:       689.78809, best error:       640.93030 on epoch:    51, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 129.4591522217s, input_fired_time: 1.4551427364, output_fired_time: 1.1628561020, propagate_forward_time: 46.2541885376, propagate_backward_time: 78.1858215332, weight_update_time: 0.1389383227, other_time: 2.4011459351
epoch time: 9.8544540405s, input_fired_time: 0.1534530967, output_fired_time: 0.0000000000, propagate_forward_time: 9.2489757538, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4520254135
validation[          , genome  6969] predictions:    9759/  10000 (97.59%), best:    9803/10000 (98.03%), error:       743.58307, best error:       640.93030 on epoch:    51, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 131.6737213135s, input_fired_time: 1.5013612509, output_fired_time: 1.1859066486, propagate_forward_time: 46.9722480774, propagate_backward_time: 79.4557571411, weight_update_time: 0.1447146535, other_time: 2.5584487915
epoch time: 9.9951419830s, input_fired_time: 0.1556539536, output_fired_time: 0.0000000000, propagate_forward_time: 9.3773269653, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4621610641
validation[          , genome  6969] predictions:    9768/  10000 (97.68%), best:    9803/10000 (98.03%), error:       743.89594, best error:       640.93030 on epoch:    51, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 130.6290435791s, input_fired_time: 1.4743435383, output_fired_time: 1.1711915731, propagate_forward_time: 46.5982093811, propagate_backward_time: 78.9498825073, weight_update_time: 0.1400200129, other_time: 2.4354171753
epoch time: 10.1915874481s, input_fired_time: 0.1609858871, output_fired_time: 0.0000000000, propagate_forward_time: 9.5495948792, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4810066223
validation[          , genome  6969] predictions:    9795/  10000 (97.95%), best:    9803/10000 (98.03%), error:       659.00226, best error:       640.93030 on epoch:    51, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 130.3786621094s, input_fired_time: 1.4700804949, output_fired_time: 1.1718965769, propagate_forward_time: 46.4941024780, propagate_backward_time: 78.8166732788, weight_update_time: 0.1402616352, other_time: 2.4259109497
epoch time: 9.9027652740s, input_fired_time: 0.1520675868, output_fired_time: 0.0000000000, propagate_forward_time: 9.2940330505, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4566650391
validation[          , genome  6969] predictions:    9762/  10000 (97.62%), best:    9803/10000 (98.03%), error:       758.92261, best error:       640.93030 on epoch:    51, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 130.2989044189s, input_fired_time: 1.4720838070, output_fired_time: 1.1734322309, propagate_forward_time: 46.4816017151, propagate_backward_time: 78.7474517822, weight_update_time: 0.1400155127, other_time: 2.4243469238
epoch time: 9.9014444351s, input_fired_time: 0.1592058688, output_fired_time: 0.0000000000, propagate_forward_time: 9.2863073349, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4559316635
validation[          , genome  6969] predictions:    9699/  10000 (96.99%), best:    9803/10000 (98.03%), error:       952.24896, best error:       640.93030 on epoch:    51, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 130.5595703125s, input_fired_time: 1.4741137028, output_fired_time: 1.1724159718, propagate_forward_time: 46.5720329285, propagate_backward_time: 78.9117813110, weight_update_time: 0.1397265345, other_time: 2.4292221069
epoch time: 9.9032449722s, input_fired_time: 0.1577124000, output_fired_time: 0.0000000000, propagate_forward_time: 9.2903566360, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4551763535
validation[          , genome  6969] predictions:    9755/  10000 (97.55%), best:    9803/10000 (98.03%), error:       853.77075, best error:       640.93030 on epoch:    51, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 130.1994476318s, input_fired_time: 1.4686579704, output_fired_time: 1.1686370373, propagate_forward_time: 46.4493675232, propagate_backward_time: 78.6932983398, weight_update_time: 0.1390556544, other_time: 2.4194793701
epoch time: 9.8930587769s, input_fired_time: 0.1544509679, output_fired_time: 0.0000000000, propagate_forward_time: 9.2847118378, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4538955688
validation[          , genome  6969] predictions:    9796/  10000 (97.96%), best:    9803/10000 (98.03%), error:       675.01740, best error:       640.93030 on epoch:    51, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 130.2790527344s, input_fired_time: 1.4727478027, output_fired_time: 1.1696786880, propagate_forward_time: 46.4676399231, propagate_backward_time: 78.7514343262, weight_update_time: 0.1392346323, other_time: 2.4175567627
epoch time: 9.8941669464s, input_fired_time: 0.1550223827, output_fired_time: 0.0000000000, propagate_forward_time: 9.2848606110, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4542837143
validation[          , genome  6969] predictions:    9743/  10000 (97.43%), best:    9803/10000 (98.03%), error:       849.97473, best error:       640.93030 on epoch:    51, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 131.7766418457s, input_fired_time: 1.4931945801, output_fired_time: 1.1823879480, propagate_forward_time: 46.9998817444, propagate_backward_time: 79.6390762329, weight_update_time: 0.1407106072, other_time: 2.4621047974
epoch time: 9.9010753632s, input_fired_time: 0.1563908160, output_fired_time: 0.0000000000, propagate_forward_time: 9.2890977859, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4555864334
validation[          , genome  6969] predictions:    9742/  10000 (97.42%), best:    9803/10000 (98.03%), error:       798.74573, best error:       640.93030 on epoch:    51, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_42_6969.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_42_6969_0_r186320404_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: 0.975024
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000382045
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.52818e-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: 68
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 51
read number_validation_images: 10000
read best_validation_predictions: 9803
read best_validation_error: 640.93
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: 6969
read normal distribution: '1 0 0'
generator_str: '170462244'
read generator: 170462244
read generated_by_map:
1 crossover 1
reading 37 nodes.
reading 113 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
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: 1x28x28 = 784
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: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 130.498199462891s, input_fired_time: 1.43809831142426, output_fired_time: 1.14426612854004, propagate_forward_time: 46.5307502746582, propagate_backward_time: 78.9793090820312, weight_update_time: 0.131032139062881, other_time: 2.40577697753906
epoch time: 9.8811092376709s, input_fired_time: 0.148630186915398, output_fired_time: 0, propagate_forward_time: 9.29911804199219, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.433361053466797
validation[          , genome  6969] predictions:    9774/  10000 (97.74%), best:    9803/10000 (98.03%), error:       709.90808, best error:       640.93030 on epoch:    51, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 130.7666168213s, input_fired_time: 1.4422332048, output_fired_time: 1.1485328674, propagate_forward_time: 46.6657485962, propagate_backward_time: 79.1796798706, weight_update_time: 0.1312486678, other_time: 2.3304290771
epoch time: 9.8852529526s, input_fired_time: 0.1464081109, output_fired_time: 0.0000000000, propagate_forward_time: 9.3089513779, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4298934937
validation[          , genome  6969] predictions:    9756/  10000 (97.56%), best:    9803/10000 (98.03%), error:       791.08075, best error:       640.93030 on epoch:    51, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 130.3021240234s, input_fired_time: 1.4401776791, output_fired_time: 1.1451019049, propagate_forward_time: 46.5393905640, propagate_backward_time: 78.8695220947, weight_update_time: 0.1304804385, other_time: 2.3079376221
epoch time: 9.8813190460s, input_fired_time: 0.1465379447, output_fired_time: 0.0000000000, propagate_forward_time: 9.3058500290, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4289312363
validation[          , genome  6969] predictions:    9741/  10000 (97.41%), best:    9803/10000 (98.03%), error:       842.43268, best error:       640.93030 on epoch:    51, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 130.4582672119s, input_fired_time: 1.4442943335, output_fired_time: 1.1457794905, propagate_forward_time: 46.5449333191, propagate_backward_time: 79.0156555176, weight_update_time: 0.1303673089, other_time: 2.3076019287
epoch time: 9.8881607056s, input_fired_time: 0.1506650746, output_fired_time: 0.0000000000, propagate_forward_time: 9.3083248138, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4291706085
validation[          , genome  6969] predictions:    9783/  10000 (97.83%), best:    9803/10000 (98.03%), error:       654.71661, best error:       640.93030 on epoch:    51, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 130.4456939697s, input_fired_time: 1.4406520128, output_fired_time: 1.1456161737, propagate_forward_time: 46.5514793396, propagate_backward_time: 78.9991607666, weight_update_time: 0.1309314221, other_time: 2.3087768555
epoch time: 9.8839445114s, input_fired_time: 0.1491602510, output_fired_time: 0.0000000000, propagate_forward_time: 9.3065652847, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4282188416
validation[          , genome  6969] predictions:    9792/  10000 (97.92%), best:    9803/10000 (98.03%), error:       704.76398, best error:       640.93030 on epoch:    51, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 130.1259155273s, input_fired_time: 1.4399474859, output_fired_time: 1.1418085098, propagate_forward_time: 46.4257507324, propagate_backward_time: 78.8137512207, weight_update_time: 0.1306003183, other_time: 2.3046646118
epoch time: 9.8638067245s, input_fired_time: 0.1477622390, output_fired_time: 0.0000000000, propagate_forward_time: 9.2865076065, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4295368195
validation[          , genome  6969] predictions:    9792/  10000 (97.92%), best:    9803/10000 (98.03%), error:       681.54779, best error:       640.93030 on epoch:    51, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 130.1311340332s, input_fired_time: 1.4433027506, output_fired_time: 1.1455334425, propagate_forward_time: 46.4047698975, propagate_backward_time: 78.8148117065, weight_update_time: 0.1339360923, other_time: 2.3227233887
epoch time: 9.8432130814s, input_fired_time: 0.1473417729, output_fired_time: 0.0000000000, propagate_forward_time: 9.2628021240, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4330692291
validation[          , genome  6969] predictions:    9793/  10000 (97.93%), best:    9803/10000 (98.03%), error:       664.10931, best error:       640.93030 on epoch:    51, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 130.1107788086s, input_fired_time: 1.4433884621, output_fired_time: 1.1447765827, propagate_forward_time: 46.3882331848, propagate_backward_time: 78.8109817505, weight_update_time: 0.1345353723, other_time: 2.3234024048
epoch time: 9.8351259232s, input_fired_time: 0.1479188204, output_fired_time: 0.0000000000, propagate_forward_time: 9.2589931488, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4282140732
validation[          , genome  6969] predictions:    9773/  10000 (97.73%), best:    9803/10000 (98.03%), error:       714.52515, best error:       640.93030 on epoch:    51, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 129.9302978516s, input_fired_time: 1.4402823448, output_fired_time: 1.1414399147, propagate_forward_time: 46.3132324219, propagate_backward_time: 78.7217636108, weight_update_time: 0.1336418390, other_time: 2.3135833740
epoch time: 9.8394775391s, input_fired_time: 0.1488669962, output_fired_time: 0.0000000000, propagate_forward_time: 9.2625408173, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4280700684
validation[          , genome  6969] predictions:    9710/  10000 (97.10%), best:    9803/10000 (98.03%), error:       880.51282, best error:       640.93030 on epoch:    51, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 129.9177398682s, input_fired_time: 1.4408973455, output_fired_time: 1.1414715052, propagate_forward_time: 46.3245010376, propagate_backward_time: 78.7008666992, weight_update_time: 0.1326374561, other_time: 2.3099975586
epoch time: 9.9535818100s, input_fired_time: 0.1512273401, output_fired_time: 0.0000000000, propagate_forward_time: 9.3683996201, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4339551926
validation[          , genome  6969] predictions:    9778/  10000 (97.78%), best:    9803/10000 (98.03%), error:       760.71045, best error:       640.93030 on epoch:    51, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 130.2491302490s, input_fired_time: 1.4431760311, output_fired_time: 1.1438977718, propagate_forward_time: 46.4288711548, propagate_backward_time: 78.9188079834, weight_update_time: 0.1327820867, other_time: 2.3143768311
epoch time: 10.1614332199s, input_fired_time: 0.1565467864, output_fired_time: 0.0000000000, propagate_forward_time: 9.5603103638, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4445762634
validation[          , genome  6969] predictions:    9802/  10000 (98.02%), best:    9803/10000 (98.03%), error:       647.56757, best error:       640.93030 on epoch:    51, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 130.5030364990s, input_fired_time: 1.4443210363, output_fired_time: 1.1445878744, propagate_forward_time: 46.4755630493, propagate_backward_time: 79.1179199219, weight_update_time: 0.1327683777, other_time: 2.3206481934
epoch time: 9.8606538773s, input_fired_time: 0.1486325264, output_fired_time: 0.0000000000, propagate_forward_time: 9.2828531265, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4291677475
validation[          , genome  6969] predictions:    9810/  10000 (98.10%), best:    9810/10000 (98.10%), error:       627.83478, best error:       627.83478 on epoch:    79, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 130.8595733643s, input_fired_time: 1.4527156353, output_fired_time: 1.1488016844, propagate_forward_time: 46.6246986389, propagate_backward_time: 79.3086013794, weight_update_time: 0.1329078078, other_time: 2.3247604370
epoch time: 9.8402938843s, input_fired_time: 0.1500824541, output_fired_time: 0.0000000000, propagate_forward_time: 9.2613925934, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4288187027
validation[          , genome  6969] predictions:    9810/  10000 (98.10%), best:    9810/10000 (98.10%), error:       624.81183, best error:       624.81183 on epoch:    80, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 130.3795318604s, input_fired_time: 1.4463200569, output_fired_time: 1.1446026564, propagate_forward_time: 46.4653549194, propagate_backward_time: 79.0068359375, weight_update_time: 0.1323111653, other_time: 2.3164215088
epoch time: 9.8346061707s, input_fired_time: 0.1495669931, output_fired_time: 0.0000000000, propagate_forward_time: 9.2560710907, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4289684296
validation[          , genome  6969] predictions:    9794/  10000 (97.94%), best:    9810/10000 (98.10%), error:       696.88434, best error:       624.81183 on epoch:    80, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 130.5964508057s, input_fired_time: 1.4509322643, output_fired_time: 1.1452054977, propagate_forward_time: 46.5415077209, propagate_backward_time: 79.1403503418, weight_update_time: 0.1324381232, other_time: 2.3184661865
epoch time: 9.8230285645s, input_fired_time: 0.1459562927, output_fired_time: 0.0000000000, propagate_forward_time: 9.2492170334, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4278554916
validation[          , genome  6969] predictions:    9745/  10000 (97.45%), best:    9810/10000 (98.10%), error:       803.56036, best error:       624.81183 on epoch:    80, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 130.0041961670s, input_fired_time: 1.4378111362, output_fired_time: 1.1403050423, propagate_forward_time: 46.2908210754, propagate_backward_time: 78.8301467896, weight_update_time: 0.1320482343, other_time: 2.3051223755
epoch time: 9.8264808655s, input_fired_time: 0.1481902450, output_fired_time: 0.0000000000, propagate_forward_time: 9.2513008118, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4269895554
validation[          , genome  6969] predictions:    9778/  10000 (97.78%), best:    9810/10000 (98.10%), error:       671.58899, best error:       624.81183 on epoch:    80, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 129.8014831543s, input_fired_time: 1.4372841120, output_fired_time: 1.1393654346, propagate_forward_time: 46.2777252197, propagate_backward_time: 78.6430587769, weight_update_time: 0.1321670711, other_time: 2.3040466309
epoch time: 9.8288717270s, input_fired_time: 0.1488499343, output_fired_time: 0.0000000000, propagate_forward_time: 9.2524557114, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4275665283
validation[          , genome  6969] predictions:    9776/  10000 (97.76%), best:    9810/10000 (98.10%), error:       719.02252, best error:       624.81183 on epoch:    80, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 129.8570556641s, input_fired_time: 1.4402676821, output_fired_time: 1.1385978460, propagate_forward_time: 46.2676887512, propagate_backward_time: 78.7085800171, weight_update_time: 0.1320797354, other_time: 2.3019332886
epoch time: 9.8496732712s, input_fired_time: 0.1477895677, output_fired_time: 0.0000000000, propagate_forward_time: 9.2739048004, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4279785156
validation[          , genome  6969] predictions:    9743/  10000 (97.43%), best:    9810/10000 (98.10%), error:       827.37164, best error:       624.81183 on epoch:    80, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 130.3047790527s, input_fired_time: 1.4466425180, output_fired_time: 1.1437845230, propagate_forward_time: 46.4670143127, propagate_backward_time: 78.9388504028, weight_update_time: 0.1330373436, other_time: 2.3084945679
epoch time: 9.8405323029s, input_fired_time: 0.1512126178, output_fired_time: 0.0000000000, propagate_forward_time: 9.2612237930, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4280958176
validation[          , genome  6969] predictions:    9801/  10000 (98.01%), best:    9810/10000 (98.10%), error:       668.81042, best error:       624.81183 on epoch:    80, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 129.9628601074s, input_fired_time: 1.4432021379, output_fired_time: 1.1392490864, propagate_forward_time: 46.2997322083, propagate_backward_time: 78.7776718140, weight_update_time: 0.1325069368, other_time: 2.3030014038
epoch time: 9.8386545181s, input_fired_time: 0.1455580145, output_fired_time: 0.0000000000, propagate_forward_time: 9.2650384903, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4280576706
validation[          , genome  6969] predictions:    9762/  10000 (97.62%), best:    9810/10000 (98.10%), error:       732.69537, best error:       624.81183 on epoch:    80, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 130.0510406494s, input_fired_time: 1.4419567585, output_fired_time: 1.1397640705, propagate_forward_time: 46.3150520325, propagate_backward_time: 78.8475265503, weight_update_time: 0.1327102035, other_time: 2.3067398071
epoch time: 9.8369846344s, input_fired_time: 0.1495574564, output_fired_time: 0.0000000000, propagate_forward_time: 9.2595777512, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4278497696
validation[          , genome  6969] predictions:    9781/  10000 (97.81%), best:    9810/10000 (98.10%), error:       756.12469, best error:       624.81183 on epoch:    80, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 130.0293731689s, input_fired_time: 1.4431076050, output_fired_time: 1.1401673555, propagate_forward_time: 46.3058052063, propagate_backward_time: 78.8341674805, weight_update_time: 0.1325721443, other_time: 2.3061370850
epoch time: 9.8355731964s, input_fired_time: 0.1497674286, output_fired_time: 0.0000000000, propagate_forward_time: 9.2582826614, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4275226593
validation[          , genome  6969] predictions:    9773/  10000 (97.73%), best:    9810/10000 (98.10%), error:       682.40259, best error:       624.81183 on epoch:    80, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 129.7651214600s, input_fired_time: 1.4422061443, output_fired_time: 1.1377711296, propagate_forward_time: 46.2141914368, propagate_backward_time: 78.6711502075, weight_update_time: 0.1325773597, other_time: 2.2998123169
epoch time: 9.8431653976s, input_fired_time: 0.1495790482, output_fired_time: 0.0000000000, propagate_forward_time: 9.2662630081, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4273233414
validation[          , genome  6969] predictions:    9805/  10000 (98.05%), best:    9810/10000 (98.10%), error:       656.04999, best error:       624.81183 on epoch:    80, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 130.0698547363s, input_fired_time: 1.4500956535, output_fired_time: 1.1406991482, propagate_forward_time: 46.3123054504, propagate_backward_time: 78.8593368530, weight_update_time: 0.1327298582, other_time: 2.3074264526
epoch time: 9.8420906067s, input_fired_time: 0.1496480554, output_fired_time: 0.0000000000, propagate_forward_time: 9.2646694183, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4277734756
validation[          , genome  6969] predictions:    9777/  10000 (97.77%), best:    9810/10000 (98.10%), error:       683.76807, best error:       624.81183 on epoch:    80, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 130.0439910889s, input_fired_time: 1.4491519928, output_fired_time: 1.1402251720, propagate_forward_time: 46.3086318970, propagate_backward_time: 78.8424911499, weight_update_time: 0.1326050460, other_time: 2.3034820557
epoch time: 9.8374786377s, input_fired_time: 0.1512146592, output_fired_time: 0.0000000000, propagate_forward_time: 9.2583217621, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4279422760
validation[          , genome  6969] predictions:    9792/  10000 (97.92%), best:    9810/10000 (98.10%), error:       685.32495, best error:       624.81183 on epoch:    80, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 129.8474731445s, input_fired_time: 1.4440653324, output_fired_time: 1.1386255026, propagate_forward_time: 46.2670364380, propagate_backward_time: 78.6947631836, weight_update_time: 0.1329748034, other_time: 2.3029861450
epoch time: 9.8239574432s, input_fired_time: 0.1489247382, output_fired_time: 0.0000000000, propagate_forward_time: 9.2485771179, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4264554977
validation[          , genome  6969] predictions:    9762/  10000 (97.62%), best:    9810/10000 (98.10%), error:       745.47650, best error:       624.81183 on epoch:    80, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 131.7150573730s, input_fired_time: 1.4616128206, output_fired_time: 1.1550818682, propagate_forward_time: 46.9263229370, propagate_backward_time: 79.8430099487, weight_update_time: 0.1361249238, other_time: 2.3290405273
epoch time: 10.0490570068s, input_fired_time: 0.1535471827, output_fired_time: 0.0000000000, propagate_forward_time: 9.4632501602, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4322595596
validation[          , genome  6969] predictions:    9768/  10000 (97.68%), best:    9810/10000 (98.10%), error:       719.09583, best error:       624.81183 on epoch:    80, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 130.4479064941s, input_fired_time: 1.4550544024, output_fired_time: 1.1440255642, propagate_forward_time: 46.4503250122, propagate_backward_time: 79.0884170532, weight_update_time: 0.1336794645, other_time: 2.3100891113
epoch time: 9.8316984177s, input_fired_time: 0.1496169120, output_fired_time: 0.0000000000, propagate_forward_time: 9.2536706924, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4284105301
validation[          , genome  6969] predictions:    9764/  10000 (97.64%), best:    9810/10000 (98.10%), error:       800.81476, best error:       624.81183 on epoch:    80, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 129.9395751953s, input_fired_time: 1.4492473602, output_fired_time: 1.1399562359, propagate_forward_time: 46.3002433777, propagate_backward_time: 78.7428359985, weight_update_time: 0.1339397281, other_time: 2.3072891235
epoch time: 9.8375339508s, input_fired_time: 0.1503850371, output_fired_time: 0.0000000000, propagate_forward_time: 9.2596483231, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4275007248
validation[          , genome  6969] predictions:    9729/  10000 (97.29%), best:    9810/10000 (98.10%), error:       809.54944, best error:       624.81183 on epoch:    80, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 129.9221801758s, input_fired_time: 1.4514138699, output_fired_time: 1.1399433613, propagate_forward_time: 46.2924461365, propagate_backward_time: 78.7339859009, weight_update_time: 0.1338346750, other_time: 2.3043899536
epoch time: 9.8341159821s, input_fired_time: 0.1511096805, output_fired_time: 0.0000000000, propagate_forward_time: 9.2557535172, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4272527695
validation[          , genome  6969] predictions:    9778/  10000 (97.78%), best:    9810/10000 (98.10%), error:       720.00104, best error:       624.81183 on epoch:    80, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 129.9255523682s, input_fired_time: 1.4500651360, output_fired_time: 1.1395617723, propagate_forward_time: 46.2960472107, propagate_backward_time: 78.7354049683, weight_update_time: 0.1338740587, other_time: 2.3044815063
epoch time: 9.8362998962s, input_fired_time: 0.1510943472, output_fired_time: 0.0000000000, propagate_forward_time: 9.2577219009, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4274835587
validation[          , genome  6969] predictions:    9765/  10000 (97.65%), best:    9810/10000 (98.10%), error:       758.69684, best error:       624.81183 on epoch:    80, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 129.9514312744s, input_fired_time: 1.4536460638, output_fired_time: 1.1393606663, propagate_forward_time: 46.2909698486, propagate_backward_time: 78.7631378174, weight_update_time: 0.1338734627, other_time: 2.3043212891
epoch time: 9.8364629745s, input_fired_time: 0.1501711905, output_fired_time: 0.0000000000, propagate_forward_time: 9.2588415146, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4274501801
validation[          , genome  6969] predictions:    9788/  10000 (97.88%), best:    9810/10000 (98.10%), error:       685.24445, best error:       624.81183 on epoch:    80, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 129.9270477295s, input_fired_time: 1.4479374886, output_fired_time: 1.1391713619, propagate_forward_time: 46.2885742188, propagate_backward_time: 78.7473449707, weight_update_time: 0.1342955381, other_time: 2.3040237427
epoch time: 9.8326187134s, input_fired_time: 0.1514268219, output_fired_time: 0.0000000000, propagate_forward_time: 9.2539291382, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4272623062
validation[          , genome  6969] predictions:    9787/  10000 (97.87%), best:    9810/10000 (98.10%), error:       705.34113, best error:       624.81183 on epoch:    80, 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: 49.1960868835s, input_fired_time: 0.7565517426, output_fired_time: 0.0000000000, propagate_forward_time: 46.2848320007, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1547050476
best training[          , genome  6969] predictions:   49858/  50000 (99.72%), best:    9810/10000 (98.10%), error:       736.70300, best error:       624.81183 on epoch:    80, 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: 9.8498716354s, input_fired_time: 0.1495285332, output_fired_time: 0.0000000000, propagate_forward_time: 9.2643518448, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4359912872
   testing[          , genome  6969] predictions:    9822/  10000 (98.22%), best:    9810/10000 (98.10%), error:       558.07404, best error:       624.81183 on epoch:    80, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
06:26:01 (3806): called boinc_finish(0)

</stderr_txt>
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