Nameexact_genome_1512568488_43_6688_0
Workunit2604754
Created7 Dec 2017, 21:20:07 UTC
Sent7 Dec 2017, 21:28:33 UTC
Report deadline22 Dec 2017, 7:30:12 UTC
Received8 Dec 2017, 9:39:23 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID62687
Run time3 hours 18 min 16 sec
CPU time3 hours 9 min 49 sec
Validate stateValid
Credit3,604.46
Device peak FLOPS4.32 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size157.63 MB
Peak swap size160.63 MB
Peak disk usage2.58 MB

Stderr output

<core_client_version>7.6.33</core_client_version>
<![CDATA[
<stderr_txt>
 748.85303, best error:       738.60370 on epoch:    18, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 108.2326965332s, input_fired_time: 1.6749982834, output_fired_time: 1.3459979296, propagate_forward_time: 38.7867851257, propagate_backward_time: 63.3346290588, weight_update_time: 0.1806317121, other_time: 3.0902824402
epoch time: 8.5222892761s, input_fired_time: 0.2198501825, output_fired_time: 0.0000000000, propagate_forward_time: 7.7893304825, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5131082535
validation[          , genome  6688] predictions:    9730/  10000 (97.30%), best:    9780/10000 (97.80%), error:       854.17151, best error:       738.60370 on epoch:    18, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 105.3974456787s, input_fired_time: 1.5478544235, output_fired_time: 1.2638391256, propagate_forward_time: 37.8944053650, propagate_backward_time: 61.9251556396, weight_update_time: 0.1608382165, other_time: 2.7661895752
epoch time: 8.6078119278s, input_fired_time: 0.2244694233, output_fired_time: 0.0000000000, propagate_forward_time: 7.8441443443, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5391983986
validation[          , genome  6688] predictions:    9749/  10000 (97.49%), best:    9780/10000 (97.80%), error:       795.18433, best error:       738.60370 on epoch:    18, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 106.0469131470s, input_fired_time: 1.5695838928, output_fired_time: 1.2810620070, propagate_forward_time: 38.0831985474, propagate_backward_time: 62.2967033386, weight_update_time: 0.1630126834, other_time: 2.8163642883
epoch time: 7.5760049820s, input_fired_time: 0.1430863738, output_fired_time: 0.0000000000, propagate_forward_time: 7.0905232430, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3423953056
validation[          , genome  6688] predictions:    9746/  10000 (97.46%), best:    9780/10000 (97.80%), error:       782.78381, best error:       738.60370 on epoch:    18, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 97.4153137207s, input_fired_time: 1.2259708643, output_fired_time: 0.9714146852, propagate_forward_time: 35.6518211365, propagate_backward_time: 57.5193786621, weight_update_time: 0.1200818419, other_time: 2.0467338562
epoch time: 8.4047985077s, input_fired_time: 0.2103409767, output_fired_time: 0.0000000000, propagate_forward_time: 7.6778917313, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5165662766
validation[          , genome  6688] predictions:    9789/  10000 (97.89%), best:    9789/10000 (97.89%), error:       698.57251, best error:       698.57251 on epoch:    30, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 108.1663284302s, input_fired_time: 1.6806074381, output_fired_time: 1.3367180824, propagate_forward_time: 38.7039184570, propagate_backward_time: 63.4165992737, weight_update_time: 0.1806180626, other_time: 3.0284843445
epoch time: 8.2116537094s, input_fired_time: 0.2012787759, output_fired_time: 0.0000000000, propagate_forward_time: 7.4936423302, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5167326927
validation[          , genome  6688] predictions:    9772/  10000 (97.72%), best:    9789/10000 (97.89%), error:       752.31390, best error:       698.57251 on epoch:    30, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

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/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_43_6688.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_6688_0_r1514400339_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: 0.895082
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00242139
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 9.68557e-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: 32
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 30
read number_validation_images: 10000
read best_validation_predictions: 9789
read best_validation_error: 698.573
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: 6688
read normal distribution: '1 0 0'
generator_str: '532614006'
read generator: 532614006
read generated_by_map:
1 crossover 1
reading 32 nodes.
reading 85 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: 108.320976257324s, input_fired_time: 2.01549816131592, output_fired_time: 1.57064843177795, propagate_forward_time: 38.514102935791, propagate_backward_time: 62.190731048584, weight_update_time: 0.227718397974968, other_time: 4.03000259399414
epoch time: 8.5402364730835s, input_fired_time: 0.244241923093796, output_fired_time: 0, propagate_forward_time: 7.60416460037231, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.691830158233643
validation[          , genome  6688] predictions:    9774/  10000 (97.74%), best:    9789/10000 (97.89%), error:       737.93317, best error:       698.57251 on epoch:    30, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 110.9726715088s, input_fired_time: 2.1354181767, output_fired_time: 1.6714172363, propagate_forward_time: 39.2034759521, propagate_backward_time: 63.7049713135, weight_update_time: 0.2390994132, other_time: 4.2573852539
epoch time: 11.2611131668s, input_fired_time: 0.5034571290, output_fired_time: 0.0000000000, propagate_forward_time: 9.4924392700, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2652168274
validation[          , genome  6688] predictions:    9770/  10000 (97.70%), best:    9789/10000 (97.89%), error:       788.89301, best error:       698.57251 on epoch:    30, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 111.4571990967s, input_fired_time: 2.0575990677, output_fired_time: 1.6179271936, propagate_forward_time: 39.4552459717, propagate_backward_time: 64.3251419067, weight_update_time: 0.2241286188, other_time: 4.0012817383
epoch time: 8.8674879074s, input_fired_time: 0.2721596658, output_fired_time: 0.0000000000, propagate_forward_time: 7.9071903229, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6881380081
validation[          , genome  6688] predictions:    9760/  10000 (97.60%), best:    9789/10000 (97.89%), error:       788.09900, best error:       698.57251 on epoch:    30, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 115.0503921509s, input_fired_time: 2.2637059689, output_fired_time: 1.8434571028, propagate_forward_time: 40.3086509705, propagate_backward_time: 66.3016891479, weight_update_time: 0.2470871955, other_time: 4.3328933716
epoch time: 9.0804271698s, input_fired_time: 0.2871277630, output_fired_time: 0.0000000000, propagate_forward_time: 8.0825872421, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7107124329
validation[          , genome  6688] predictions:    9738/  10000 (97.38%), best:    9789/10000 (97.89%), error:       861.96967, best error:       698.57251 on epoch:    30, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 118.9345321655s, input_fired_time: 2.4606709480, output_fired_time: 1.9468154907, propagate_forward_time: 41.4998054504, propagate_backward_time: 68.4082260132, weight_update_time: 0.2459380925, other_time: 4.6190109253
epoch time: 9.0948934555s, input_fired_time: 0.2908569276, output_fired_time: 0.0000000000, propagate_forward_time: 8.1171894073, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6868467331
validation[          , genome  6688] predictions:    9754/  10000 (97.54%), best:    9789/10000 (97.89%), error:       769.22900, best error:       698.57251 on epoch:    30, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 110.4864044189s, input_fired_time: 2.0864653587, output_fired_time: 1.6287387609, propagate_forward_time: 39.0492401123, propagate_backward_time: 63.5850601196, weight_update_time: 0.2326391488, other_time: 4.1369018555
epoch time: 9.0063266754s, input_fired_time: 0.2897766531, output_fired_time: 0.0000000000, propagate_forward_time: 8.0754194260, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6411304474
validation[          , genome  6688] predictions:    9781/  10000 (97.81%), best:    9789/10000 (97.89%), error:       721.47308, best error:       698.57251 on epoch:    30, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 112.1841812134s, input_fired_time: 2.0330603123, output_fired_time: 1.6546391249, propagate_forward_time: 39.5581283569, propagate_backward_time: 65.0634918213, weight_update_time: 0.2131389976, other_time: 3.8748626709
epoch time: 8.4901800156s, input_fired_time: 0.2420125455, output_fired_time: 0.0000000000, propagate_forward_time: 7.5862393379, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6619277000
validation[          , genome  6688] predictions:    9748/  10000 (97.48%), best:    9789/10000 (97.89%), error:       831.14246, best error:       698.57251 on epoch:    30, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 115.4071578979s, input_fired_time: 2.2874393463, output_fired_time: 1.8350716829, propagate_forward_time: 40.3440742493, propagate_backward_time: 66.2721862793, weight_update_time: 0.2526214421, other_time: 4.6683807373
epoch time: 8.4383945465s, input_fired_time: 0.2369877100, output_fired_time: 0.0000000000, propagate_forward_time: 7.5586571693, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6427493095
validation[          , genome  6688] predictions:    9764/  10000 (97.64%), best:    9789/10000 (97.89%), error:       772.19519, best error:       698.57251 on epoch:    30, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 111.2050857544s, input_fired_time: 2.0809125900, output_fired_time: 1.6631691456, propagate_forward_time: 39.2264060974, propagate_backward_time: 64.2551193237, weight_update_time: 0.2206756175, other_time: 3.9794845581
epoch time: 8.7163829803s, input_fired_time: 0.2553320527, output_fired_time: 0.0000000000, propagate_forward_time: 7.7920002937, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6690506935
validation[          , genome  6688] predictions:    9773/  10000 (97.73%), best:    9789/10000 (97.89%), error:       749.60431, best error:       698.57251 on epoch:    30, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 111.2164916992s, input_fired_time: 2.2026982307, output_fired_time: 1.7021019459, propagate_forward_time: 39.1918258667, propagate_backward_time: 63.6858634949, weight_update_time: 0.2476129979, other_time: 4.4340019226
epoch time: 8.5192432404s, input_fired_time: 0.2411795706, output_fired_time: 0.0000000000, propagate_forward_time: 7.5859303474, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6921334267
validation[          , genome  6688] predictions:    9796/  10000 (97.96%), best:    9789/10000 (97.89%), error:       706.04022, best error:       698.57251 on epoch:    30, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 106.6608276367s, input_fired_time: 1.8943930864, output_fired_time: 1.4661678076, propagate_forward_time: 38.0318565369, propagate_backward_time: 61.4489364624, weight_update_time: 0.2180836797, other_time: 3.8194656372
epoch time: 8.8811407089s, input_fired_time: 0.2698516548, output_fired_time: 0.0000000000, propagate_forward_time: 7.9190368652, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6922521591
validation[          , genome  6688] predictions:    9766/  10000 (97.66%), best:    9789/10000 (97.89%), error:       774.39819, best error:       698.57251 on epoch:    30, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 114.5684967041s, input_fired_time: 2.1864302158, output_fired_time: 1.7692476511, propagate_forward_time: 40.2512245178, propagate_backward_time: 66.1076202393, weight_update_time: 0.2330262661, other_time: 4.2539672852
epoch time: 9.0447607040s, input_fired_time: 0.2752710283, output_fired_time: 0.0000000000, propagate_forward_time: 8.0601978302, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7092914581
validation[          , genome  6688] predictions:    9751/  10000 (97.51%), best:    9789/10000 (97.89%), error:       792.82361, best error:       698.57251 on epoch:    30, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 115.8220748901s, input_fired_time: 2.3768064976, output_fired_time: 1.8872600794, propagate_forward_time: 40.5143547058, propagate_backward_time: 66.5151367188, weight_update_time: 0.2400373220, other_time: 4.5285186768
epoch time: 8.5521020889s, input_fired_time: 0.2455407977, output_fired_time: 0.0000000000, propagate_forward_time: 7.6404795647, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6660819054
validation[          , genome  6688] predictions:    9762/  10000 (97.62%), best:    9789/10000 (97.89%), error:       741.90338, best error:       698.57251 on epoch:    30, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 111.1564331055s, input_fired_time: 2.1097273827, output_fired_time: 1.6328607798, propagate_forward_time: 39.3567123413, propagate_backward_time: 64.0142745972, weight_update_time: 0.2291438878, other_time: 4.0428619385
epoch time: 8.5976047516s, input_fired_time: 0.2543735504, output_fired_time: 0.0000000000, propagate_forward_time: 7.6822743416, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6609568596
validation[          , genome  6688] predictions:    9797/  10000 (97.97%), best:    9797/10000 (97.97%), error:       677.20197, best error:       677.20197 on epoch:    45, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 113.4056701660s, input_fired_time: 2.1449224949, output_fired_time: 1.6740102768, propagate_forward_time: 40.0035934448, propagate_backward_time: 65.5088882446, weight_update_time: 0.2287121117, other_time: 4.0742568970
epoch time: 10.5989923477s, input_fired_time: 0.4768471718, output_fired_time: 0.0000000000, propagate_forward_time: 8.8284540176, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2936906815
validation[          , genome  6688] predictions:    9777/  10000 (97.77%), best:    9797/10000 (97.97%), error:       755.73895, best error:       677.20197 on epoch:    45, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 109.7135391235s, input_fired_time: 2.0460100174, output_fired_time: 1.5590680838, propagate_forward_time: 38.9279174805, propagate_backward_time: 63.1578750610, weight_update_time: 0.2280175686, other_time: 4.0226669312
epoch time: 8.9203824997s, input_fired_time: 0.2826245129, output_fired_time: 0.0000000000, propagate_forward_time: 7.9574184418, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6803398132
validation[          , genome  6688] predictions:    9759/  10000 (97.59%), best:    9797/10000 (97.97%), error:       760.82245, best error:       677.20197 on epoch:    45, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 111.3675918579s, input_fired_time: 2.0945100784, output_fired_time: 1.6102012396, propagate_forward_time: 39.4554634094, propagate_backward_time: 64.1097259521, weight_update_time: 0.2262572497, other_time: 4.0976867676
epoch time: 8.5896234512s, input_fired_time: 0.2584394813, output_fired_time: 0.0000000000, propagate_forward_time: 7.6764817238, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6547026634
validation[          , genome  6688] predictions:    9760/  10000 (97.60%), best:    9797/10000 (97.97%), error:       759.64899, best error:       677.20197 on epoch:    45, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 108.9256286621s, input_fired_time: 2.1400337219, output_fired_time: 1.6106579304, propagate_forward_time: 38.5638427734, propagate_backward_time: 62.2708854675, weight_update_time: 0.2484495044, other_time: 4.3402137756
epoch time: 8.4840316772s, input_fired_time: 0.2441831529, output_fired_time: 0.0000000000, propagate_forward_time: 7.5754547119, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6643934250
validation[          , genome  6688] predictions:    9766/  10000 (97.66%), best:    9797/10000 (97.97%), error:       763.94788, best error:       677.20197 on epoch:    45, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 109.9628295898s, input_fired_time: 2.0336003304, output_fired_time: 1.6319668293, propagate_forward_time: 38.9221496582, propagate_backward_time: 63.3210906982, weight_update_time: 0.2229952663, other_time: 4.0540237427
epoch time: 10.6297168732s, input_fired_time: 0.4685276449, output_fired_time: 0.0000000000, propagate_forward_time: 8.9856462479, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1755428314
validation[          , genome  6688] predictions:    9815/  10000 (98.15%), best:    9815/10000 (98.15%), error:       623.70813, best error:       623.70813 on epoch:    50, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 109.7729644775s, input_fired_time: 1.9865758419, output_fired_time: 1.5737240314, propagate_forward_time: 38.9419784546, propagate_backward_time: 63.4049072266, weight_update_time: 0.2189995497, other_time: 3.8657836914
epoch time: 10.1631717682s, input_fired_time: 0.4540011585, output_fired_time: 0.0000000000, propagate_forward_time: 8.4886550903, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2205152512
validation[          , genome  6688] predictions:    9738/  10000 (97.38%), best:    9815/10000 (98.15%), error:       830.79230, best error:       623.70813 on epoch:    50, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 106.2805709839s, input_fired_time: 1.8509010077, output_fired_time: 1.4403548241, propagate_forward_time: 37.9848136902, propagate_backward_time: 61.3118972778, weight_update_time: 0.2034171075, other_time: 3.6926040649
epoch time: 10.3403987885s, input_fired_time: 0.4787222445, output_fired_time: 0.0000000000, propagate_forward_time: 8.5840654373, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2776107788
validation[          , genome  6688] predictions:    9769/  10000 (97.69%), best:    9815/10000 (98.15%), error:       771.31561, best error:       623.70813 on epoch:    50, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 108.2648315430s, input_fired_time: 1.9549597502, output_fired_time: 1.4907784462, propagate_forward_time: 38.5599441528, propagate_backward_time: 62.4509277344, weight_update_time: 0.2141676396, other_time: 3.8082275391
epoch time: 9.7370700836s, input_fired_time: 0.3745897710, output_fired_time: 0.0000000000, propagate_forward_time: 8.3786907196, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9837894440
validation[          , genome  6688] predictions:    9732/  10000 (97.32%), best:    9815/10000 (98.15%), error:       881.05579, best error:       623.70813 on epoch:    50, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 109.3687896729s, input_fired_time: 1.9515390396, output_fired_time: 1.5606371164, propagate_forward_time: 38.7944679260, propagate_backward_time: 63.2048072815, weight_update_time: 0.2131047845, other_time: 3.8573417664
epoch time: 10.3101320267s, input_fired_time: 0.4864044487, output_fired_time: 0.0000000000, propagate_forward_time: 8.6290235519, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1947040558
validation[          , genome  6688] predictions:    9799/  10000 (97.99%), best:    9815/10000 (98.15%), error:       673.67310, best error:       623.70813 on epoch:    50, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 107.1939086914s, input_fired_time: 1.9090924263, output_fired_time: 1.4897574186, propagate_forward_time: 38.1210441589, propagate_backward_time: 61.9079170227, weight_update_time: 0.2077506185, other_time: 3.7660942078
epoch time: 10.5613431931s, input_fired_time: 0.4994275272, output_fired_time: 0.0000000000, propagate_forward_time: 8.7376136780, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3243017197
validation[          , genome  6688] predictions:    9732/  10000 (97.32%), best:    9815/10000 (98.15%), error:       871.55206, best error:       623.70813 on epoch:    50, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 105.7684555054s, input_fired_time: 1.7967189550, output_fired_time: 1.4428880215, propagate_forward_time: 37.7663612366, propagate_backward_time: 61.1485710144, weight_update_time: 0.2044455856, other_time: 3.6139106750
epoch time: 10.1551342010s, input_fired_time: 0.4470424056, output_fired_time: 0.0000000000, propagate_forward_time: 8.3991098404, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3089818954
validation[          , genome  6688] predictions:    9770/  10000 (97.70%), best:    9815/10000 (98.15%), error:       744.12268, best error:       623.70813 on epoch:    50, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 107.2089080811s, input_fired_time: 1.8801803589, output_fired_time: 1.4981855154, propagate_forward_time: 38.2643814087, propagate_backward_time: 61.8866806030, weight_update_time: 0.1990005970, other_time: 3.6794815063
epoch time: 10.2602195740s, input_fired_time: 0.4706767797, output_fired_time: 0.0000000000, propagate_forward_time: 8.4644412994, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3251018524
validation[          , genome  6688] predictions:    9787/  10000 (97.87%), best:    9815/10000 (98.15%), error:       702.40088, best error:       623.70813 on epoch:    50, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 107.5128707886s, input_fired_time: 1.9444366693, output_fired_time: 1.5101009607, propagate_forward_time: 38.2546844482, propagate_backward_time: 61.9559097290, weight_update_time: 0.2076985687, other_time: 3.8477401733
epoch time: 9.7069873810s, input_fired_time: 0.3655313551, output_fired_time: 0.0000000000, propagate_forward_time: 8.3467111588, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9947452545
validation[          , genome  6688] predictions:    9773/  10000 (97.73%), best:    9815/10000 (98.15%), error:       723.41699, best error:       623.70813 on epoch:    50, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 108.0520248413s, input_fired_time: 1.9544537067, output_fired_time: 1.5204187632, propagate_forward_time: 38.3744964600, propagate_backward_time: 62.3078002930, weight_update_time: 0.2139066011, other_time: 3.8948593140
epoch time: 9.5528802872s, input_fired_time: 0.3693591952, output_fired_time: 0.0000000000, propagate_forward_time: 8.1470041275, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0365171432
validation[          , genome  6688] predictions:    9819/  10000 (98.19%), best:    9815/10000 (98.15%), error:       628.11993, best error:       623.70813 on epoch:    50, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 108.7071838379s, input_fired_time: 1.9875962734, output_fired_time: 1.5632112026, propagate_forward_time: 38.6619300842, propagate_backward_time: 62.5359497070, weight_update_time: 0.2159088850, other_time: 3.9584960938
epoch time: 9.0040960312s, input_fired_time: 0.2906597555, output_fired_time: 0.0000000000, propagate_forward_time: 7.8551778793, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8582582474
validation[          , genome  6688] predictions:    9778/  10000 (97.78%), best:    9815/10000 (98.15%), error:       707.47827, best error:       623.70813 on epoch:    50, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 109.7132186890s, input_fired_time: 2.0661220551, output_fired_time: 1.6131415367, propagate_forward_time: 38.9604148865, propagate_backward_time: 62.9744224548, weight_update_time: 0.2224919051, other_time: 4.0991096497
epoch time: 8.4920139313s, input_fired_time: 0.2205042392, output_fired_time: 0.0000000000, propagate_forward_time: 7.6631646156, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6083455086
validation[          , genome  6688] predictions:    9777/  10000 (97.77%), best:    9815/10000 (98.15%), error:       728.02161, best error:       623.70813 on epoch:    50, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 111.0428161621s, input_fired_time: 2.1208369732, output_fired_time: 1.6845569611, propagate_forward_time: 39.2609405518, propagate_backward_time: 63.8037033081, weight_update_time: 0.2276346684, other_time: 4.1727828979
epoch time: 7.9495067596s, input_fired_time: 0.1810480952, output_fired_time: 0.0000000000, propagate_forward_time: 7.2911944389, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4772644043
validation[          , genome  6688] predictions:    9785/  10000 (97.85%), best:    9815/10000 (98.15%), error:       749.47833, best error:       623.70813 on epoch:    50, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 108.6338958740s, input_fired_time: 2.0608220100, output_fired_time: 1.5979895592, propagate_forward_time: 38.4838371277, propagate_backward_time: 62.2979965210, weight_update_time: 0.2345824987, other_time: 4.1932449341
epoch time: 8.1695690155s, input_fired_time: 0.2039576322, output_fired_time: 0.0000000000, propagate_forward_time: 7.4271192551, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5384922028
validation[          , genome  6688] predictions:    9795/  10000 (97.95%), best:    9815/10000 (98.15%), error:       691.07660, best error:       623.70813 on epoch:    50, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 109.5914001465s, input_fired_time: 2.0883843899, output_fired_time: 1.6079281569, propagate_forward_time: 38.8917388916, propagate_backward_time: 62.9161071777, weight_update_time: 0.2245540768, other_time: 4.0872421265
epoch time: 8.2358160019s, input_fired_time: 0.2141777873, output_fired_time: 0.0000000000, propagate_forward_time: 7.4674916267, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5541462898
validation[          , genome  6688] predictions:    9787/  10000 (97.87%), best:    9815/10000 (98.15%), error:       684.08405, best error:       623.70813 on epoch:    50, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 108.3789215088s, input_fired_time: 2.0742883682, output_fired_time: 1.5980856419, propagate_forward_time: 38.4036140442, propagate_backward_time: 62.1511344910, weight_update_time: 0.2302250713, other_time: 4.1517982483
epoch time: 7.9989624023s, input_fired_time: 0.1831210107, output_fired_time: 0.0000000000, propagate_forward_time: 7.3408756256, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4749655724
validation[          , genome  6688] predictions:    9804/  10000 (98.04%), best:    9815/10000 (98.15%), error:       674.56537, best error:       623.70813 on epoch:    50, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 108.9978332520s, input_fired_time: 2.0831952095, output_fired_time: 1.5935025215, propagate_forward_time: 38.6873054504, propagate_backward_time: 62.5230941772, weight_update_time: 0.2242195755, other_time: 4.1107254028
epoch time: 8.4360179901s, input_fired_time: 0.2384535223, output_fired_time: 0.0000000000, propagate_forward_time: 7.5527858734, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6447782516
validation[          , genome  6688] predictions:    9764/  10000 (97.64%), best:    9815/10000 (98.15%), error:       792.99719, best error:       623.70813 on epoch:    50, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 108.0063629150s, input_fired_time: 2.0726771355, output_fired_time: 1.5909833908, propagate_forward_time: 38.2794723511, propagate_backward_time: 61.8650970459, weight_update_time: 0.2274259478, other_time: 4.1981353760
epoch time: 8.6201791763s, input_fired_time: 0.2577521205, output_fired_time: 0.0000000000, propagate_forward_time: 7.6593732834, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7030534744
validation[          , genome  6688] predictions:    9786/  10000 (97.86%), best:    9815/10000 (98.15%), error:       728.74194, best error:       623.70813 on epoch:    50, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 108.2706451416s, input_fired_time: 2.0538856983, output_fired_time: 1.5887537003, propagate_forward_time: 38.4419364929, propagate_backward_time: 62.0318298340, weight_update_time: 0.2276342362, other_time: 4.1542358398
epoch time: 8.2450981140s, input_fired_time: 0.2153540552, output_fired_time: 0.0000000000, propagate_forward_time: 7.4501557350, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5795884132
validation[          , genome  6688] predictions:    9798/  10000 (97.98%), best:    9815/10000 (98.15%), error:       669.45911, best error:       623.70813 on epoch:    50, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 110.4359893799s, input_fired_time: 2.0930824280, output_fired_time: 1.6873270273, propagate_forward_time: 39.0806465149, propagate_backward_time: 63.4469337463, weight_update_time: 0.2236740589, other_time: 4.1280021667
epoch time: 8.1501445770s, input_fired_time: 0.2017819583, output_fired_time: 0.0000000000, propagate_forward_time: 7.4369015694, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5114612579
validation[          , genome  6688] predictions:    9783/  10000 (97.83%), best:    9815/10000 (98.15%), error:       677.61890, best error:       623.70813 on epoch:    50, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 110.0311965942s, input_fired_time: 2.0500254631, output_fired_time: 1.6059572697, propagate_forward_time: 38.9483604431, propagate_backward_time: 63.2884712219, weight_update_time: 0.2274949551, other_time: 4.1383781433
epoch time: 8.1380758286s, input_fired_time: 0.1995949298, output_fired_time: 0.0000000000, propagate_forward_time: 7.4086022377, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5298786163
validation[          , genome  6688] predictions:    9757/  10000 (97.57%), best:    9815/10000 (98.15%), error:       789.84900, best error:       623.70813 on epoch:    50, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 109.8946762085s, input_fired_time: 2.0935013294, output_fired_time: 1.6308659315, propagate_forward_time: 38.9013977051, propagate_backward_time: 63.0938835144, weight_update_time: 0.2367130816, other_time: 4.1750297546
epoch time: 8.2264585495s, input_fired_time: 0.2019931525, output_fired_time: 0.0000000000, propagate_forward_time: 7.4998087883, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5246567726
validation[          , genome  6688] predictions:    9810/  10000 (98.10%), best:    9815/10000 (98.15%), error:       662.40759, best error:       623.70813 on epoch:    50, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 109.5492172241s, input_fired_time: 2.1249969006, output_fired_time: 1.6427763700, propagate_forward_time: 38.8235359192, propagate_backward_time: 62.7164916992, weight_update_time: 0.2382834256, other_time: 4.2414093018
epoch time: 8.3189868927s, input_fired_time: 0.2131582797, output_fired_time: 0.0000000000, propagate_forward_time: 7.5448975563, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5609307289
validation[          , genome  6688] predictions:    9791/  10000 (97.91%), best:    9815/10000 (98.15%), error:       672.61115, best error:       623.70813 on epoch:    50, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 109.6777191162s, input_fired_time: 2.0998852253, output_fired_time: 1.6044018269, propagate_forward_time: 38.9032249451, propagate_backward_time: 62.8376045227, weight_update_time: 0.2420190871, other_time: 4.2326011658
epoch time: 8.2068271637s, input_fired_time: 0.2150625736, output_fired_time: 0.0000000000, propagate_forward_time: 7.4337401390, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5580244064
validation[          , genome  6688] predictions:    9794/  10000 (97.94%), best:    9815/10000 (98.15%), error:       707.38232, best error:       623.70813 on epoch:    50, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 109.4807205200s, input_fired_time: 2.1288919449, output_fired_time: 1.6214619875, propagate_forward_time: 38.8963012695, propagate_backward_time: 62.6447067261, weight_update_time: 0.2232972533, other_time: 4.1893615723
epoch time: 8.0385274887s, input_fired_time: 0.1892139614, output_fired_time: 0.0000000000, propagate_forward_time: 7.3627443314, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4865694046
validation[          , genome  6688] predictions:    9779/  10000 (97.79%), best:    9815/10000 (98.15%), error:       725.07660, best error:       623.70813 on epoch:    50, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 108.6380310059s, input_fired_time: 2.0681965351, output_fired_time: 1.5842601061, propagate_forward_time: 38.6214637756, propagate_backward_time: 62.3015022278, weight_update_time: 0.2241550088, other_time: 4.0626029968
epoch time: 7.9627389908s, input_fired_time: 0.1869709194, output_fired_time: 0.0000000000, propagate_forward_time: 7.2783622742, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4974060059
validation[          , genome  6688] predictions:    9793/  10000 (97.93%), best:    9815/10000 (98.15%), error:       701.49182, best error:       623.70813 on epoch:    50, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 108.9643936157s, input_fired_time: 1.9048979282, output_fired_time: 1.5285001993, propagate_forward_time: 38.7757339478, propagate_backward_time: 62.9121780396, weight_update_time: 0.2092514932, other_time: 3.8430786133
epoch time: 7.5675182343s, input_fired_time: 0.1452305913, output_fired_time: 0.0000000000, propagate_forward_time: 7.0668115616, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3554759026
validation[          , genome  6688] predictions:    9809/  10000 (98.09%), best:    9815/10000 (98.15%), error:       675.32837, best error:       623.70813 on epoch:    50, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 104.4684753418s, input_fired_time: 1.8987119198, output_fired_time: 1.4120635986, propagate_forward_time: 37.3068695068, propagate_backward_time: 60.0886459351, weight_update_time: 0.2063493729, other_time: 3.7621841431
epoch time: 8.6975975037s, input_fired_time: 0.2660533190, output_fired_time: 0.0000000000, propagate_forward_time: 7.6379356384, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7936086655
validation[          , genome  6688] predictions:    9799/  10000 (97.99%), best:    9815/10000 (98.15%), error:       670.80164, best error:       623.70813 on epoch:    50, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 105.6299209595s, input_fired_time: 1.9404391050, output_fired_time: 1.4457557201, propagate_forward_time: 37.6649894714, propagate_backward_time: 60.7325897217, weight_update_time: 0.2169256359, other_time: 3.8461456299
epoch time: 8.4813137054s, input_fired_time: 0.2619045377, output_fired_time: 0.0000000000, propagate_forward_time: 7.5250210762, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6943879128
validation[          , genome  6688] predictions:    9813/  10000 (98.13%), best:    9815/10000 (98.15%), error:       627.65082, best error:       623.70813 on epoch:    50, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 106.6155700684s, input_fired_time: 2.0007433891, output_fired_time: 1.4731023312, propagate_forward_time: 38.0725860596, propagate_backward_time: 61.1849517822, weight_update_time: 0.2158797383, other_time: 3.8841934204
epoch time: 8.6487360001s, input_fired_time: 0.2662009895, output_fired_time: 0.0000000000, propagate_forward_time: 7.6326894760, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7498455048
validation[          , genome  6688] predictions:    9803/  10000 (98.03%), best:    9815/10000 (98.15%), error:       650.80225, best error:       623.70813 on epoch:    50, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 107.3053741455s, input_fired_time: 2.0141119957, output_fired_time: 1.4928998947, propagate_forward_time: 38.3030166626, propagate_backward_time: 61.5637817383, weight_update_time: 0.2192679048, other_time: 3.9315643311
epoch time: 8.5586977005s, input_fired_time: 0.2683952749, output_fired_time: 0.0000000000, propagate_forward_time: 7.6050810814, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6852211952
validation[          , genome  6688] predictions:    9775/  10000 (97.75%), best:    9815/10000 (98.15%), error:       743.52008, best error:       623.70813 on epoch:    50, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 106.9889907837s, input_fired_time: 2.0233545303, output_fired_time: 1.4800447226, propagate_forward_time: 38.1924819946, propagate_backward_time: 61.3976478577, weight_update_time: 0.2265334129, other_time: 3.8954658508
epoch time: 8.6415796280s, input_fired_time: 0.2682432234, output_fired_time: 0.0000000000, propagate_forward_time: 7.6341166496, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7392201424
validation[          , genome  6688] predictions:    9806/  10000 (98.06%), best:    9815/10000 (98.15%), error:       660.39758, best error:       623.70813 on epoch:    50, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 107.2204132080s, input_fired_time: 2.0239613056, output_fired_time: 1.4833656549, propagate_forward_time: 38.2672767639, propagate_backward_time: 61.5626335144, weight_update_time: 0.2152542323, other_time: 3.8831672668
epoch time: 8.6189966202s, input_fired_time: 0.2713443935, output_fired_time: 0.0000000000, propagate_forward_time: 7.6413469315, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7063055038
validation[          , genome  6688] predictions:    9769/  10000 (97.69%), best:    9815/10000 (98.15%), error:       755.02008, best error:       623.70813 on epoch:    50, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 107.0690383911s, input_fired_time: 2.0044722557, output_fired_time: 1.4890927076, propagate_forward_time: 38.1842346191, propagate_backward_time: 61.3800315857, weight_update_time: 0.2221479565, other_time: 4.0112113953
epoch time: 8.6747360229s, input_fired_time: 0.2670693398, output_fired_time: 0.0000000000, propagate_forward_time: 7.6310729980, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7765941620
validation[          , genome  6688] predictions:    9746/  10000 (97.46%), best:    9815/10000 (98.15%), error:       830.10443, best error:       623.70813 on epoch:    50, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 106.5483245850s, input_fired_time: 1.9850187302, output_fired_time: 1.4920682907, propagate_forward_time: 37.9516830444, propagate_backward_time: 61.1817550659, weight_update_time: 0.2205602527, other_time: 3.9378051758
epoch time: 8.6039390564s, input_fired_time: 0.2686098516, output_fired_time: 0.0000000000, propagate_forward_time: 7.6193914413, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7159376144
validation[          , genome  6688] predictions:    9819/  10000 (98.19%), best:    9819/10000 (98.19%), error:       619.84485, best error:       619.84485 on epoch:    84, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 107.2425155640s, input_fired_time: 2.0324165821, output_fired_time: 1.4784986973, propagate_forward_time: 38.2685623169, propagate_backward_time: 61.5421409607, weight_update_time: 0.2210905701, other_time: 3.9208946228
epoch time: 8.5721368790s, input_fired_time: 0.2690776289, output_fired_time: 0.0000000000, propagate_forward_time: 7.5639939308, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7390656471
validation[          , genome  6688] predictions:    9801/  10000 (98.01%), best:    9819/10000 (98.19%), error:       675.14050, best error:       619.84485 on epoch:    84, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 106.6161804199s, input_fired_time: 1.9760336876, output_fired_time: 1.4754704237, propagate_forward_time: 38.0410461426, propagate_backward_time: 61.2535667419, weight_update_time: 0.2220428586, other_time: 3.8700599670
epoch time: 8.7407560349s, input_fired_time: 0.2680081725, output_fired_time: 0.0000000000, propagate_forward_time: 7.6688771248, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8038706779
validation[          , genome  6688] predictions:    9797/  10000 (97.97%), best:    9819/10000 (98.19%), error:       663.87933, best error:       619.84485 on epoch:    84, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 107.1787796021s, input_fired_time: 2.0124111176, output_fired_time: 1.5139408112, propagate_forward_time: 38.2236061096, propagate_backward_time: 61.4971656799, weight_update_time: 0.2198232263, other_time: 3.9316520691
epoch time: 8.6730117798s, input_fired_time: 0.2666184008, output_fired_time: 0.0000000000, propagate_forward_time: 7.6145157814, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7918772697
validation[          , genome  6688] predictions:    9775/  10000 (97.75%), best:    9819/10000 (98.19%), error:       698.66785, best error:       619.84485 on epoch:    84, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 107.1287231445s, input_fired_time: 2.0245466232, output_fired_time: 1.4685274363, propagate_forward_time: 38.2283782959, propagate_backward_time: 61.4810714722, weight_update_time: 0.2252305299, other_time: 3.9262008667
epoch time: 8.6650476456s, input_fired_time: 0.2687057257, output_fired_time: 0.0000000000, propagate_forward_time: 7.6604537964, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7358884811
validation[          , genome  6688] predictions:    9801/  10000 (98.01%), best:    9819/10000 (98.19%), error:       643.13959, best error:       619.84485 on epoch:    84, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 106.8751907349s, input_fired_time: 2.0121810436, output_fired_time: 1.5024294853, propagate_forward_time: 38.1047554016, propagate_backward_time: 61.3137054443, weight_update_time: 0.2235031426, other_time: 3.9421234131
epoch time: 8.6654357910s, input_fired_time: 0.2690443695, output_fired_time: 0.0000000000, propagate_forward_time: 7.6572346687, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7391571999
validation[          , genome  6688] predictions:    9803/  10000 (98.03%), best:    9819/10000 (98.19%), error:       670.52399, best error:       619.84485 on epoch:    84, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

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/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_43_6688.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_6688_0_r1514400339_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: 0.985155
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000123604
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.94418e-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: 90
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 84
read number_validation_images: 10000
read best_validation_predictions: 9819
read best_validation_error: 619.845
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: 6688
read normal distribution: '1 0 0'
generator_str: '1926422582'
read generator: 1926422582
read generated_by_map:
1 crossover 1
reading 32 nodes.
reading 85 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: 106.720779418945s, input_fired_time: 1.89606559276581, output_fired_time: 1.45158720016479, propagate_forward_time: 38.2098503112793, propagate_backward_time: 61.5412101745605, weight_update_time: 0.208380103111267, other_time: 3.62207412719727
epoch time: 8.47141742706299s, input_fired_time: 0.242358714342117, output_fired_time: 0, propagate_forward_time: 7.57125091552734, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.657807350158691
validation[          , genome  6688] predictions:    9812/  10000 (98.12%), best:    9819/10000 (98.19%), error:       637.96490, best error:       619.84485 on epoch:    84, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 108.9357299805s, input_fired_time: 2.1747100353, output_fired_time: 1.6038205624, propagate_forward_time: 38.6470565796, propagate_backward_time: 62.2830963135, weight_update_time: 0.2420699745, other_time: 4.2270431519
epoch time: 8.4885387421s, input_fired_time: 0.2535004616, output_fired_time: 0.0000000000, propagate_forward_time: 7.6092772484, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6257615089
validation[          , genome  6688] predictions:    9829/  10000 (98.29%), best:    9829/10000 (98.29%), error:       611.90845, best error:       611.90845 on epoch:    91, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 107.4438323975s, input_fired_time: 1.9765760899, output_fired_time: 1.4703028202, propagate_forward_time: 38.3658943176, propagate_backward_time: 61.8532104492, weight_update_time: 0.2178841233, other_time: 3.7778472900
epoch time: 8.7327070236s, input_fired_time: 0.2800684869, output_fired_time: 0.0000000000, propagate_forward_time: 7.6971621513, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7554764748
validation[          , genome  6688] predictions:    9808/  10000 (98.08%), best:    9829/10000 (98.29%), error:       630.25543, best error:       611.90845 on epoch:    91, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 114.3016128540s, input_fired_time: 2.3009557724, output_fired_time: 1.7735164165, propagate_forward_time: 40.1873626709, propagate_backward_time: 65.8371200562, weight_update_time: 0.2364692688, other_time: 4.2026596069
epoch time: 8.6321620941s, input_fired_time: 0.2612489462, output_fired_time: 0.0000000000, propagate_forward_time: 7.7888212204, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5820922852
validation[          , genome  6688] predictions:    9784/  10000 (97.84%), best:    9829/10000 (98.29%), error:       696.61401, best error:       611.90845 on epoch:    91, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 110.5094985962s, input_fired_time: 2.1057436466, output_fired_time: 1.6144303083, propagate_forward_time: 39.1889190674, propagate_backward_time: 63.6855430603, weight_update_time: 0.2188894749, other_time: 3.9148597717
epoch time: 8.5331735611s, input_fired_time: 0.2455082387, output_fired_time: 0.0000000000, propagate_forward_time: 7.6589660645, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6286993027
validation[          , genome  6688] predictions:    9804/  10000 (98.04%), best:    9829/10000 (98.29%), error:       647.72937, best error:       611.90845 on epoch:    91, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 111.0521087646s, input_fired_time: 2.0489957333, output_fired_time: 1.6266453266, propagate_forward_time: 39.3170661926, propagate_backward_time: 64.3117370605, weight_update_time: 0.2179492116, other_time: 3.7476654053
epoch time: 10.9784612656s, input_fired_time: 0.4954309762, output_fired_time: 0.0000000000, propagate_forward_time: 9.0688619614, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4141683578
validation[          , genome  6688] predictions:    9806/  10000 (98.06%), best:    9829/10000 (98.29%), error:       655.87714, best error:       611.90845 on epoch:    91, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 108.0516281128s, input_fired_time: 1.9969762564, output_fired_time: 1.5384198427, propagate_forward_time: 38.4030075073, propagate_backward_time: 62.3408775330, weight_update_time: 0.2239771932, other_time: 3.7723426819
epoch time: 8.4556789398s, input_fired_time: 0.2464586049, output_fired_time: 0.0000000000, propagate_forward_time: 7.5741367340, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6350831985
validation[          , genome  6688] predictions:    9813/  10000 (98.13%), best:    9829/10000 (98.29%), error:       639.30786, best error:       611.90845 on epoch:    91, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 106.6689071655s, input_fired_time: 1.9606362581, output_fired_time: 1.4873290062, propagate_forward_time: 38.0775299072, propagate_backward_time: 61.3445549011, weight_update_time: 0.2181161046, other_time: 3.7988548279
epoch time: 8.4892339706s, input_fired_time: 0.2470128834, output_fired_time: 0.0000000000, propagate_forward_time: 7.5965685844, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6456522942
validation[          , genome  6688] predictions:    9827/  10000 (98.27%), best:    9827/10000 (98.27%), error:       602.38959, best error:       602.38959 on epoch:    97, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 110.7627029419s, input_fired_time: 2.2150959969, output_fired_time: 1.6549686193, propagate_forward_time: 39.1852722168, propagate_backward_time: 63.5297889709, weight_update_time: 0.2280156612, other_time: 4.1775779724
epoch time: 8.7421884537s, input_fired_time: 0.2817163169, output_fired_time: 0.0000000000, propagate_forward_time: 7.9227609634, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5377111435
validation[          , genome  6688] predictions:    9800/  10000 (98.00%), best:    9827/10000 (98.27%), error:       772.84039, best error:       602.38959 on epoch:    97, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 113.9199066162s, input_fired_time: 2.1630184650, output_fired_time: 1.7850570679, propagate_forward_time: 39.9016838074, propagate_backward_time: 66.0632324219, weight_update_time: 0.2215716839, other_time: 4.0069122314
epoch time: 8.9386940002s, input_fired_time: 0.2962953448, output_fired_time: 0.0000000000, propagate_forward_time: 8.1008472443, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5415515900
validation[          , genome  6688] predictions:    9774/  10000 (97.74%), best:    9827/10000 (98.27%), error:       774.06372, best error:       602.38959 on epoch:    97, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 114.1069107056s, input_fired_time: 2.3207166195, output_fired_time: 1.8073736429, propagate_forward_time: 40.0374183655, propagate_backward_time: 65.6396255493, weight_update_time: 0.2489047498, other_time: 4.3017807007
epoch time: 8.4074726105s, input_fired_time: 0.2446739823, output_fired_time: 0.0000000000, propagate_forward_time: 7.5176615715, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6451373100
validation[          , genome  6688] predictions:    9796/  10000 (97.96%), best:    9827/10000 (98.27%), error:       700.00916, best error:       602.38959 on epoch:    97, 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: 42.4918174744s, input_fired_time: 1.2408838272, output_fired_time: 0.0000000000, propagate_forward_time: 38.0052795410, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2456550598
best training[          , genome  6688] predictions:   49940/  50000 (99.88%), best:    9827/10000 (98.27%), error:       584.24323, best error:       602.38959 on epoch:    97, 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: 8.4966907501s, input_fired_time: 0.2512263060, output_fired_time: 0.0000000000, propagate_forward_time: 7.6083502769, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6371140480
   testing[          , genome  6688] predictions:    9816/  10000 (98.16%), best:    9827/10000 (98.27%), error:       605.88696, best error:       602.38959 on epoch:    97, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
02:38:42 (12860): called boinc_finish(0)

</stderr_txt>
]]>