Nameexact_genome_1512568488_44_4467_1
Workunit2593675
Created7 Dec 2017, 10:09:20 UTC
Sent7 Dec 2017, 10:12:48 UTC
Report deadline11 Dec 2017, 7:06:30 UTC
Received7 Dec 2017, 23:52:35 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time3 hours 6 min 22 sec
CPU time2 hours 1 min 56 sec
Validate stateValid
Credit967.66
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size154.50 MB
Peak swap size157.46 MB
Peak disk usage1.68 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
epoch:    26, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 85.7197113037s, input_fired_time: 0.8474531174, output_fired_time: 0.6959309578, propagate_forward_time: 31.6016921997, propagate_backward_time: 49.6971015930, weight_update_time: 0.2236908823, other_time: 2.8775367737
epoch time: 7.0776867867s, input_fired_time: 0.0939196870, output_fired_time: 0.0000000000, propagate_forward_time: 6.4297423363, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5540246964
validation[          , genome  4467] predictions:    9629/  10000 (96.29%), best:    9629/10000 (96.29%), error:      1286.93274, best error:      1286.93274 on epoch:    27, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 87.1134567261s, input_fired_time: 0.8256731629, output_fired_time: 0.7363123298, propagate_forward_time: 32.7717552185, propagate_backward_time: 49.7374649048, weight_update_time: 0.1153821573, other_time: 3.0422477722
epoch time: 7.7423782349s, input_fired_time: 0.1502213925, output_fired_time: 0.0000000000, propagate_forward_time: 6.9342699051, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6578869820
validation[          , genome  4467] predictions:    9618/  10000 (96.18%), best:    9629/10000 (96.29%), error:      1311.21301, best error:      1286.93274 on epoch:    27, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 82.9072341919s, input_fired_time: 0.7800285816, output_fired_time: 0.9547307491, propagate_forward_time: 31.0357666016, propagate_backward_time: 47.2609291077, weight_update_time: 0.1121995524, other_time: 2.8757820129
epoch time: 6.2950139046s, input_fired_time: 0.0853598714, output_fired_time: 0.0000000000, propagate_forward_time: 5.7813968658, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4282569885
validation[          , genome  4467] predictions:    9623/  10000 (96.23%), best:    9629/10000 (96.29%), error:      1334.19604, best error:      1286.93274 on epoch:    27, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 85.6461639404s, input_fired_time: 0.8744269013, output_fired_time: 0.6397491693, propagate_forward_time: 31.6074600220, propagate_backward_time: 49.4802703857, weight_update_time: 0.1753099114, other_time: 3.0442581177
epoch time: 7.2714815140s, input_fired_time: 0.0869450644, output_fired_time: 0.0000000000, propagate_forward_time: 6.6732535362, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5112829208
validation[          , genome  4467] predictions:    9616/  10000 (96.16%), best:    9629/10000 (96.29%), error:      1291.92505, best error:      1286.93274 on epoch:    27, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 81.5512771606s, input_fired_time: 0.9698323607, output_fired_time: 0.6714114547, propagate_forward_time: 29.5790386200, propagate_backward_time: 47.5008354187, weight_update_time: 0.1436333656, other_time: 2.8301582336
epoch time: 6.4539127350s, input_fired_time: 0.0867295340, output_fired_time: 0.0000000000, propagate_forward_time: 5.9200501442, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4471330643
validation[          , genome  4467] predictions:    9573/  10000 (95.73%), best:    9629/10000 (96.29%), error:      1426.34387, best error:      1286.93274 on epoch:    27, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 84.0862655640s, input_fired_time: 0.8277729154, output_fired_time: 0.8111599684, propagate_forward_time: 31.3117961884, propagate_backward_time: 48.3495483398, weight_update_time: 0.1127755940, other_time: 2.7859878540
epoch time: 7.0777187347s, input_fired_time: 0.1345594823, output_fired_time: 0.0000000000, propagate_forward_time: 6.3685832024, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5745759010
validation[          , genome  4467] predictions:    9614/  10000 (96.14%), best:    9629/10000 (96.29%), error:      1322.87585, best error:      1286.93274 on epoch:    27, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 82.2002639771s, input_fired_time: 0.7093960047, output_fired_time: 0.7535061240, propagate_forward_time: 30.3105792999, propagate_backward_time: 47.8369827271, weight_update_time: 0.1406178772, other_time: 2.5897979736
epoch time: 7.3544163704s, input_fired_time: 0.1352169216, output_fired_time: 0.0000000000, propagate_forward_time: 6.5556755066, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6635241508
validation[          , genome  4467] predictions:    9604/  10000 (96.04%), best:    9629/10000 (96.29%), error:      1335.88074, best error:      1286.93274 on epoch:    27, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 79.7154388428s, input_fired_time: 0.7660143971, output_fired_time: 0.6168884039, propagate_forward_time: 30.1813983917, propagate_backward_time: 44.9140548706, weight_update_time: 0.1861914992, other_time: 3.2370834351
epoch time: 9.0030641556s, input_fired_time: 0.2289072573, output_fired_time: 0.0000000000, propagate_forward_time: 8.1979036331, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5762529373
validation[          , genome  4467] predictions:    9556/  10000 (95.56%), best:    9629/10000 (96.29%), error:      1505.23987, best error:      1286.93274 on epoch:    27, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 77.5798263550s, input_fired_time: 0.6925667524, output_fired_time: 0.7610915303, propagate_forward_time: 28.5763607025, propagate_backward_time: 44.8694343567, weight_update_time: 0.1054518074, other_time: 2.6803703308
epoch time: 7.5744247437s, input_fired_time: 0.1918136030, output_fired_time: 0.0000000000, propagate_forward_time: 6.8196558952, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5629553795
validation[          , genome  4467] predictions:    9577/  10000 (95.77%), best:    9629/10000 (96.29%), error:      1426.09351, best error:      1286.93274 on epoch:    27, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 79.7056579590s, input_fired_time: 0.8052130342, output_fired_time: 0.6392116547, propagate_forward_time: 29.3494453430, propagate_backward_time: 46.2537193298, weight_update_time: 0.1062377766, other_time: 2.6580657959
epoch time: 6.6336727142s, input_fired_time: 0.0778696835, output_fired_time: 0.0000000000, propagate_forward_time: 6.1108174324, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4449853897
validation[          , genome  4467] predictions:    9526/  10000 (95.26%), best:    9629/10000 (96.29%), error:      1638.32080, best error:      1286.93274 on epoch:    27, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 81.1636047363s, input_fired_time: 0.9756520391, output_fired_time: 0.6890361309, propagate_forward_time: 29.8652877808, propagate_backward_time: 47.0454406738, weight_update_time: 0.1099487394, other_time: 2.5881881714
epoch time: 13.3950586319s, input_fired_time: 0.4933888614, output_fired_time: 0.0000000000, propagate_forward_time: 11.8754739761, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0261955261
validation[          , genome  4467] predictions:    9594/  10000 (95.94%), best:    9629/10000 (96.29%), error:      1347.91199, best error:      1286.93274 on epoch:    27, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 233.2704010010s, input_fired_time: 2.9501290321, output_fired_time: 2.3289303780, propagate_forward_time: 81.6754989624, propagate_backward_time: 137.6159362793, weight_update_time: 1.0084587336, other_time: 8.6998901367
epoch time: 19.6371688843s, input_fired_time: 0.5745140314, output_fired_time: 0.0000000000, propagate_forward_time: 17.5044956207, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5581588745
validation[          , genome  4467] predictions:    9637/  10000 (96.37%), best:    9637/10000 (96.37%), error:      1243.73022, best error:      1243.73022 on epoch:    38, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 231.2824401855s, input_fired_time: 2.2147181034, output_fired_time: 1.3572061062, propagate_forward_time: 83.0111846924, propagate_backward_time: 135.9382781982, weight_update_time: 0.2895013094, other_time: 8.7610473633
epoch time: 18.2988433838s, input_fired_time: 0.4973689914, output_fired_time: 0.0000000000, propagate_forward_time: 16.4938583374, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3076152802
validation[          , genome  4467] predictions:    9637/  10000 (96.37%), best:    9637/10000 (96.37%), error:      1292.95374, best error:      1243.73022 on epoch:    38, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 209.8281250000s, input_fired_time: 1.9035769701, output_fired_time: 0.9682927132, propagate_forward_time: 85.3358306885, propagate_backward_time: 114.0218353271, weight_update_time: 0.1175187528, other_time: 7.5985870361
epoch time: 18.1600151062s, input_fired_time: 0.1841641217, output_fired_time: 0.0000000000, propagate_forward_time: 17.0589790344, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9168720245
validation[          , genome  4467] predictions:    9596/  10000 (95.96%), best:    9637/10000 (96.37%), error:      1372.24060, best error:      1243.73022 on epoch:    38, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 217.3268280029s, input_fired_time: 1.8416683674, output_fired_time: 1.8274279833, propagate_forward_time: 84.1023330688, propagate_backward_time: 123.1693496704, weight_update_time: 0.1801137626, other_time: 6.3860397339
epoch time: 17.6884269714s, input_fired_time: 0.2628447413, output_fired_time: 0.0000000000, propagate_forward_time: 15.3676261902, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0579566956
validation[          , genome  4467] predictions:    9613/  10000 (96.13%), best:    9637/10000 (96.37%), error:      1335.89648, best error:      1243.73022 on epoch:    38, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 213.2682952881s, input_fired_time: 1.6702572107, output_fired_time: 1.5611333847, propagate_forward_time: 78.4815139771, propagate_backward_time: 125.2920379639, weight_update_time: 0.1178766564, other_time: 6.2633514404
epoch time: 17.0281867981s, input_fired_time: 0.1207106262, output_fired_time: 0.0000000000, propagate_forward_time: 15.3733215332, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5341548920
validation[          , genome  4467] predictions:    9485/  10000 (94.85%), best:    9637/10000 (96.37%), error:      1845.60974, best error:      1243.73022 on epoch:    38, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 217.0880584717s, input_fired_time: 2.1157853603, output_fired_time: 1.7641725540, propagate_forward_time: 76.7843399048, propagate_backward_time: 128.0578308105, weight_update_time: 0.2587809563, other_time: 8.3659362793
epoch time: 17.2311592102s, input_fired_time: 0.5873650312, output_fired_time: 0.0000000000, propagate_forward_time: 15.2356529236, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4081420898
validation[          , genome  4467] predictions:    9621/  10000 (96.21%), best:    9637/10000 (96.37%), error:      1327.56580, best error:      1243.73022 on epoch:    38, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

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_44_4467.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4467_1_r2097918657_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: 0.93871
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00130842
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 5.23369e-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: 44
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 38
read number_validation_images: 10000
read best_validation_predictions: 9637
read best_validation_error: 1243.73
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: 4467
read normal distribution: '0 1.45975279808044 0.514996290206909'
generator_str: '618439045'
read generator: 618439045
read generated_by_map:
1 change_size_y 1
reading 18 nodes.
reading 31 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: 107.751884460449s, input_fired_time: 1.12110936641693, output_fired_time: 0.677282452583313, propagate_forward_time: 41.0585517883301, propagate_backward_time: 61.347713470459, weight_update_time: 0.134012758731842, other_time: 3.5472297668457
epoch time: 8.13998889923096s, input_fired_time: 0.0912558138370514, output_fired_time: 0, propagate_forward_time: 7.5531005859375, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.495632171630859
validation[          , genome  4467] predictions:    9604/  10000 (96.04%), best:    9637/10000 (96.37%), error:      1313.12451, best error:      1243.73022 on epoch:    38, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 104.5574111938s, input_fired_time: 1.0206941366, output_fired_time: 1.4950729609, propagate_forward_time: 38.8062248230, propagate_backward_time: 59.6463050842, weight_update_time: 0.1178907081, other_time: 3.5891189575
epoch time: 8.6911792755s, input_fired_time: 0.1068342403, output_fired_time: 0.0000000000, propagate_forward_time: 7.5373330116, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0470118523
validation[          , genome  4467] predictions:    9630/  10000 (96.30%), best:    9637/10000 (96.37%), error:      1316.04822, best error:      1243.73022 on epoch:    38, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 103.6429367065s, input_fired_time: 0.7731225491, output_fired_time: 1.2094395161, propagate_forward_time: 39.2924346924, propagate_backward_time: 59.3280982971, weight_update_time: 0.1178732887, other_time: 3.0398368835
epoch time: 8.1339797974s, input_fired_time: 0.0913961455, output_fired_time: 0.0000000000, propagate_forward_time: 7.5638895035, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4786939621
validation[          , genome  4467] predictions:    9547/  10000 (95.47%), best:    9637/10000 (96.37%), error:      1517.10669, best error:      1243.73022 on epoch:    38, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 102.9854812622s, input_fired_time: 1.2855494022, output_fired_time: 0.7164474726, propagate_forward_time: 38.7715148926, propagate_backward_time: 58.4161643982, weight_update_time: 0.1182434782, other_time: 3.7958030701
epoch time: 8.0436162949s, input_fired_time: 0.0898508653, output_fired_time: 0.0000000000, propagate_forward_time: 7.4911007881, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4626646042
validation[          , genome  4467] predictions:    9528/  10000 (95.28%), best:    9637/10000 (96.37%), error:      1513.50732, best error:      1243.73022 on epoch:    38, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 103.6599273682s, input_fired_time: 1.5515362024, output_fired_time: 0.6757436991, propagate_forward_time: 38.2775230408, propagate_backward_time: 58.7238998413, weight_update_time: 0.1175578609, other_time: 4.4312248230
epoch time: 8.8386650085s, input_fired_time: 0.1226636246, output_fired_time: 0.0000000000, propagate_forward_time: 7.7051339149, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0108675957
validation[          , genome  4467] predictions:    9565/  10000 (95.65%), best:    9637/10000 (96.37%), error:      1486.86987, best error:      1243.73022 on epoch:    38, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 81.2352905273s, input_fired_time: 1.0127964020, output_fired_time: 0.5931515694, propagate_forward_time: 30.5288696289, propagate_backward_time: 46.4960060120, weight_update_time: 0.1117574796, other_time: 2.6044654846
epoch time: 6.4849705696s, input_fired_time: 0.0860026032, output_fired_time: 0.0000000000, propagate_forward_time: 5.7874522209, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6115155220
validation[          , genome  4467] predictions:    9594/  10000 (95.94%), best:    9637/10000 (96.37%), error:      1348.23792, best error:      1243.73022 on epoch:    38, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 69.9513397217s, input_fired_time: 0.7233975530, output_fired_time: 0.6439904571, propagate_forward_time: 25.8213272095, propagate_backward_time: 40.1256523132, weight_update_time: 0.1071159765, other_time: 2.6369743347
epoch time: 5.5585417747s, input_fired_time: 0.0807703584, output_fired_time: 0.0000000000, propagate_forward_time: 4.9945664406, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4832048416
validation[          , genome  4467] predictions:    9617/  10000 (96.17%), best:    9637/10000 (96.37%), error:      1327.07617, best error:      1243.73022 on epoch:    38, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 67.6316909790s, input_fired_time: 0.6668459177, output_fired_time: 0.5533400774, propagate_forward_time: 24.9177627563, propagate_backward_time: 39.1586761475, weight_update_time: 0.1043086797, other_time: 2.3350677490
epoch time: 5.1966705322s, input_fired_time: 0.0824011043, output_fired_time: 0.0000000000, propagate_forward_time: 4.6948986053, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4193706512
validation[          , genome  4467] predictions:    9606/  10000 (96.06%), best:    9637/10000 (96.37%), error:      1274.15710, best error:      1243.73022 on epoch:    38, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 68.3142776489s, input_fired_time: 0.7257459164, output_fired_time: 0.6314718723, propagate_forward_time: 25.2244911194, propagate_backward_time: 39.1987037659, weight_update_time: 0.1071375161, other_time: 2.5338668823
epoch time: 5.3680348396s, input_fired_time: 0.0807585567, output_fired_time: 0.0000000000, propagate_forward_time: 4.8369498253, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4503264427
validation[          , genome  4467] predictions:    9659/  10000 (96.59%), best:    9659/10000 (96.59%), error:      1194.29736, best error:      1194.29736 on epoch:    52, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 66.1088409424s, input_fired_time: 0.6840981841, output_fired_time: 0.6628480554, propagate_forward_time: 24.4272956848, propagate_backward_time: 38.0097007751, weight_update_time: 0.1042380184, other_time: 2.3248977661
epoch time: 5.9986791611s, input_fired_time: 0.1170878187, output_fired_time: 0.0000000000, propagate_forward_time: 5.4063792229, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4752120972
validation[          , genome  4467] predictions:    9655/  10000 (96.55%), best:    9659/10000 (96.59%), error:      1225.27051, best error:      1194.29736 on epoch:    52, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 68.4197311401s, input_fired_time: 0.7659366727, output_fired_time: 0.5894278884, propagate_forward_time: 25.2993965149, propagate_backward_time: 39.2747001648, weight_update_time: 0.1048155949, other_time: 2.4902725220
epoch time: 5.9916653633s, input_fired_time: 0.0817687586, output_fired_time: 0.0000000000, propagate_forward_time: 5.4545636177, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4553327560
validation[          , genome  4467] predictions:    9619/  10000 (96.19%), best:    9659/10000 (96.59%), error:      1352.33875, best error:      1194.29736 on epoch:    52, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 66.3968353271s, input_fired_time: 0.6541016698, output_fired_time: 0.5560724735, propagate_forward_time: 24.3645114899, propagate_backward_time: 38.4585075378, weight_update_time: 0.1049399525, other_time: 2.3636436462
epoch time: 5.0930008888s, input_fired_time: 0.0982585922, output_fired_time: 0.0000000000, propagate_forward_time: 4.5562620163, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4384803772
validation[          , genome  4467] predictions:    9581/  10000 (95.81%), best:    9659/10000 (96.59%), error:      1409.93225, best error:      1194.29736 on epoch:    52, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 64.8859329224s, input_fired_time: 0.6562669277, output_fired_time: 0.5589645505, propagate_forward_time: 23.7982406616, propagate_backward_time: 37.4418869019, weight_update_time: 0.1052594706, other_time: 2.4305763245
epoch time: 5.4571452141s, input_fired_time: 0.0850139037, output_fired_time: 0.0000000000, propagate_forward_time: 4.9346332550, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4374980927
validation[          , genome  4467] predictions:    9640/  10000 (96.40%), best:    9659/10000 (96.59%), error:      1234.53223, best error:      1194.29736 on epoch:    52, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 66.1749267578s, input_fired_time: 0.8067668080, output_fired_time: 0.5509819984, propagate_forward_time: 24.3150405884, propagate_backward_time: 38.0044975281, weight_update_time: 0.1350625455, other_time: 2.4976387024
epoch time: 5.7357730865s, input_fired_time: 0.1284984797, output_fired_time: 0.0000000000, propagate_forward_time: 5.1536087990, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4536657333
validation[          , genome  4467] predictions:    9614/  10000 (96.14%), best:    9659/10000 (96.59%), error:      1319.47864, best error:      1194.29736 on epoch:    52, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 66.6544418335s, input_fired_time: 0.7180417180, output_fired_time: 0.5853276849, propagate_forward_time: 24.3926982880, propagate_backward_time: 38.5831451416, weight_update_time: 0.1206807718, other_time: 2.3752288818
epoch time: 5.1636757851s, input_fired_time: 0.0842469037, output_fired_time: 0.0000000000, propagate_forward_time: 4.6621885300, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4172401428
validation[          , genome  4467] predictions:    9568/  10000 (95.68%), best:    9659/10000 (96.59%), error:      1340.02234, best error:      1194.29736 on epoch:    52, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 68.4231796265s, input_fired_time: 0.7469376922, output_fired_time: 0.5643662214, propagate_forward_time: 25.4708404541, propagate_backward_time: 39.1247100830, weight_update_time: 0.1038402021, other_time: 2.5163192749
epoch time: 5.2721829414s, input_fired_time: 0.0841327086, output_fired_time: 0.0000000000, propagate_forward_time: 4.7701487541, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4179015160
validation[          , genome  4467] predictions:    9648/  10000 (96.48%), best:    9659/10000 (96.59%), error:      1250.38086, best error:      1194.29736 on epoch:    52, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 66.7113876343s, input_fired_time: 0.6771988869, output_fired_time: 0.6346343756, propagate_forward_time: 24.5381889343, propagate_backward_time: 38.4228744507, weight_update_time: 0.1210883111, other_time: 2.4384880066
epoch time: 5.0721998215s, input_fired_time: 0.0829781443, output_fired_time: 0.0000000000, propagate_forward_time: 4.5778131485, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4114084244
validation[          , genome  4467] predictions:    9596/  10000 (95.96%), best:    9659/10000 (96.59%), error:      1404.54468, best error:      1194.29736 on epoch:    52, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 66.2647552490s, input_fired_time: 0.7075020671, output_fired_time: 0.6064554453, propagate_forward_time: 24.3137683868, propagate_backward_time: 38.2264938354, weight_update_time: 0.1052108109, other_time: 2.4105377197
epoch time: 5.9677553177s, input_fired_time: 0.0884807557, output_fired_time: 0.0000000000, propagate_forward_time: 5.3519668579, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5273075104
validation[          , genome  4467] predictions:    9579/  10000 (95.79%), best:    9659/10000 (96.59%), error:      1402.04578, best error:      1194.29736 on epoch:    52, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 67.0127639771s, input_fired_time: 0.6823363900, output_fired_time: 0.6310890317, propagate_forward_time: 24.7440013885, propagate_backward_time: 38.5055084229, weight_update_time: 0.1188770011, other_time: 2.4498291016
epoch time: 5.5623102188s, input_fired_time: 0.0971664935, output_fired_time: 0.0000000000, propagate_forward_time: 4.9622969627, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5028467178
validation[          , genome  4467] predictions:    9558/  10000 (95.58%), best:    9659/10000 (96.59%), error:      1476.31152, best error:      1194.29736 on epoch:    52, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

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_44_4467.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4467_1_r2097918657_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: 0.970645
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000493738
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.97495e-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: 63
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 52
read number_validation_images: 10000
read best_validation_predictions: 9659
read best_validation_error: 1194.3
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: 4467
read normal distribution: '0 1.45975279808044 0.514996290206909'
generator_str: '599133285'
read generator: 599133285
read generated_by_map:
1 change_size_y 1
reading 18 nodes.
reading 31 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: 70.4810791015625s, input_fired_time: 0.689071774482727, output_fired_time: 0.586103320121765, propagate_forward_time: 25.9452857971191, propagate_backward_time: 40.6266326904297, weight_update_time: 0.10576106607914, other_time: 2.63398361206055
epoch time: 5.29300308227539s, input_fired_time: 0.0841474011540413, output_fired_time: 0, propagate_forward_time: 4.79834985733032, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.410505771636963
validation[          , genome  4467] predictions:    9608/  10000 (96.08%), best:    9659/10000 (96.59%), error:      1289.66052, best error:      1194.29736 on epoch:    52, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 69.1949234009s, input_fired_time: 0.7234050632, output_fired_time: 0.6182948351, propagate_forward_time: 25.0365142822, propagate_backward_time: 40.3374938965, weight_update_time: 0.1039018929, other_time: 2.4792175293
epoch time: 5.4494214058s, input_fired_time: 0.1112266332, output_fired_time: 0.0000000000, propagate_forward_time: 4.8890008926, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4491939545
validation[          , genome  4467] predictions:    9600/  10000 (96.00%), best:    9659/10000 (96.59%), error:      1358.58179, best error:      1194.29736 on epoch:    52, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 73.0004959106s, input_fired_time: 0.7619854808, output_fired_time: 0.6925535202, propagate_forward_time: 26.9984512329, propagate_backward_time: 41.9918823242, weight_update_time: 0.1209401563, other_time: 2.5556259155
epoch time: 5.5029239655s, input_fired_time: 0.0824142620, output_fired_time: 0.0000000000, propagate_forward_time: 4.9581947327, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4623150826
validation[          , genome  4467] predictions:    9579/  10000 (95.79%), best:    9659/10000 (96.59%), error:      1408.46887, best error:      1194.29736 on epoch:    52, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 71.3322982788s, input_fired_time: 0.7063660622, output_fired_time: 0.5717535615, propagate_forward_time: 26.2266921997, propagate_backward_time: 41.3397140503, weight_update_time: 0.1063938439, other_time: 2.4877700806
epoch time: 5.2691116333s, input_fired_time: 0.1113500148, output_fired_time: 0.0000000000, propagate_forward_time: 4.6748809814, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4828805923
validation[          , genome  4467] predictions:    9635/  10000 (96.35%), best:    9659/10000 (96.59%), error:      1270.15918, best error:      1194.29736 on epoch:    52, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 76.7323074341s, input_fired_time: 0.7300602794, output_fired_time: 0.5832735896, propagate_forward_time: 27.7863578796, propagate_backward_time: 45.1518249512, weight_update_time: 0.1243991479, other_time: 2.4807929993
epoch time: 10.2361936569s, input_fired_time: 0.3738137186, output_fired_time: 0.0000000000, propagate_forward_time: 9.2988643646, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5635156631
validation[          , genome  4467] predictions:    9631/  10000 (96.31%), best:    9659/10000 (96.59%), error:      1235.05554, best error:      1194.29736 on epoch:    52, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 127.3721542358s, input_fired_time: 1.2256454229, output_fired_time: 0.8425094485, propagate_forward_time: 49.5223197937, propagate_backward_time: 70.9271240234, weight_update_time: 1.1555827856, other_time: 4.8545532227
epoch time: 11.1174325943s, input_fired_time: 0.4219939113, output_fired_time: 0.0000000000, propagate_forward_time: 9.6456785202, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0497598648
validation[          , genome  4467] predictions:    9620/  10000 (96.20%), best:    9659/10000 (96.59%), error:      1303.59558, best error:      1194.29736 on epoch:    52, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 133.5082244873s, input_fired_time: 1.2304023504, output_fired_time: 0.7482311130, propagate_forward_time: 48.3505744934, propagate_backward_time: 78.5344009399, weight_update_time: 0.1498234421, other_time: 4.6446151733
epoch time: 12.4497480392s, input_fired_time: 0.1555820704, output_fired_time: 0.0000000000, propagate_forward_time: 11.3237504959, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9704151154
validation[          , genome  4467] predictions:    9622/  10000 (96.22%), best:    9659/10000 (96.59%), error:      1312.96899, best error:      1194.29736 on epoch:    52, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 161.0078887939s, input_fired_time: 2.5421888828, output_fired_time: 1.7785835266, propagate_forward_time: 59.7609939575, propagate_backward_time: 90.8498306274, weight_update_time: 0.1809655428, other_time: 6.0762939453
epoch time: 12.5538482666s, input_fired_time: 0.1241548508, output_fired_time: 0.0000000000, propagate_forward_time: 11.6786947250, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7509984970
validation[          , genome  4467] predictions:    9624/  10000 (96.24%), best:    9659/10000 (96.59%), error:      1246.60474, best error:      1194.29736 on epoch:    52, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 159.9259185791s, input_fired_time: 1.2155523300, output_fired_time: 1.7631697655, propagate_forward_time: 59.8116950989, propagate_backward_time: 91.5836791992, weight_update_time: 0.1343726516, other_time: 5.5518341064
epoch time: 12.3161869049s, input_fired_time: 0.4367051721, output_fired_time: 0.0000000000, propagate_forward_time: 11.1454553604, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7340259552
validation[          , genome  4467] predictions:    9623/  10000 (96.23%), best:    9659/10000 (96.59%), error:      1308.88879, best error:      1194.29736 on epoch:    52, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 166.4427490234s, input_fired_time: 1.9773806334, output_fired_time: 2.4660410881, propagate_forward_time: 62.3274383545, propagate_backward_time: 93.2240600586, weight_update_time: 0.2122078836, other_time: 6.4478302002
epoch time: 12.1522092819s, input_fired_time: 0.1240335405, output_fired_time: 0.0000000000, propagate_forward_time: 11.3708705902, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6573047638
validation[          , genome  4467] predictions:    9651/  10000 (96.51%), best:    9659/10000 (96.59%), error:      1231.66260, best error:      1194.29736 on epoch:    52, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 145.7660827637s, input_fired_time: 1.3074965477, output_fired_time: 1.1868073940, propagate_forward_time: 52.9088973999, propagate_backward_time: 86.0246353149, weight_update_time: 0.1187880337, other_time: 4.3382415771
epoch time: 11.2211637497s, input_fired_time: 0.0913677812, output_fired_time: 0.0000000000, propagate_forward_time: 10.3175420761, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8122539520
validation[          , genome  4467] predictions:    9543/  10000 (95.43%), best:    9659/10000 (96.59%), error:      1493.81641, best error:      1194.29736 on epoch:    52, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 139.1752777100s, input_fired_time: 1.2737578154, output_fired_time: 1.1087695360, propagate_forward_time: 48.6804084778, propagate_backward_time: 83.4298019409, weight_update_time: 0.1499558985, other_time: 4.6825485229
epoch time: 8.8714389801s, input_fired_time: 0.0924869925, output_fired_time: 0.0000000000, propagate_forward_time: 8.0294713974, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7494802475
validation[          , genome  4467] predictions:    9627/  10000 (96.27%), best:    9659/10000 (96.59%), error:      1257.87097, best error:      1194.29736 on epoch:    52, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 113.8864288330s, input_fired_time: 0.8218700886, output_fired_time: 0.9980849624, propagate_forward_time: 42.0065422058, propagate_backward_time: 65.9389648438, weight_update_time: 0.1184710488, other_time: 4.1209716797
epoch time: 9.0690736771s, input_fired_time: 0.1863616109, output_fired_time: 0.0000000000, propagate_forward_time: 8.2889919281, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5937204361
validation[          , genome  4467] predictions:    9630/  10000 (96.30%), best:    9659/10000 (96.59%), error:      1232.07190, best error:      1194.29736 on epoch:    52, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 104.8513259888s, input_fired_time: 0.7111017704, output_fired_time: 0.6716169715, propagate_forward_time: 40.1483001709, propagate_backward_time: 60.1412773132, weight_update_time: 0.1184004396, other_time: 3.1790275574
epoch time: 8.6602134705s, input_fired_time: 0.0932237878, output_fired_time: 0.0000000000, propagate_forward_time: 7.3174033165, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2495865822
validation[          , genome  4467] predictions:    9601/  10000 (96.01%), best:    9659/10000 (96.59%), error:      1368.96411, best error:      1194.29736 on epoch:    52, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 106.0092163086s, input_fired_time: 1.0550223589, output_fired_time: 1.1905007362, propagate_forward_time: 39.4126701355, propagate_backward_time: 60.0466690063, weight_update_time: 0.3997330666, other_time: 4.3043594360
epoch time: 8.4241943359s, input_fired_time: 0.1397307962, output_fired_time: 0.0000000000, propagate_forward_time: 7.5056762695, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7787876129
validation[          , genome  4467] predictions:    9617/  10000 (96.17%), best:    9659/10000 (96.59%), error:      1262.01782, best error:      1194.29736 on epoch:    52, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 101.9776153564s, input_fired_time: 0.7281228304, output_fired_time: 0.8734984398, propagate_forward_time: 39.4787826538, propagate_backward_time: 57.2017555237, weight_update_time: 0.1184035018, other_time: 3.6954536438
epoch time: 8.1701898575s, input_fired_time: 0.3753400743, output_fired_time: 0.0000000000, propagate_forward_time: 6.8104834557, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9843664169
validation[          , genome  4467] predictions:    9616/  10000 (96.16%), best:    9659/10000 (96.59%), error:      1344.19324, best error:      1194.29736 on epoch:    52, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 98.8367233276s, input_fired_time: 1.2439374924, output_fired_time: 0.8907191157, propagate_forward_time: 35.8144569397, propagate_backward_time: 57.3974609375, weight_update_time: 0.1182796210, other_time: 3.4901542664
epoch time: 8.1207599640s, input_fired_time: 0.1399903148, output_fired_time: 0.0000000000, propagate_forward_time: 7.5281744003, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4525952339
validation[          , genome  4467] predictions:    9596/  10000 (95.96%), best:    9659/10000 (96.59%), error:      1375.15747, best error:      1194.29736 on epoch:    52, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 100.1533737183s, input_fired_time: 0.7923927307, output_fired_time: 0.6409784555, propagate_forward_time: 37.4448051453, propagate_backward_time: 57.5195617676, weight_update_time: 0.1187665239, other_time: 3.7556343079
epoch time: 6.0638785362s, input_fired_time: 0.0864012614, output_fired_time: 0.0000000000, propagate_forward_time: 5.5358796120, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4415974617
validation[          , genome  4467] predictions:    9621/  10000 (96.21%), best:    9659/10000 (96.59%), error:      1294.17664, best error:      1194.29736 on epoch:    52, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 61.8418807983s, input_fired_time: 0.6435960531, output_fired_time: 0.5644593835, propagate_forward_time: 22.7426090240, propagate_backward_time: 35.6364631653, weight_update_time: 0.1021764800, other_time: 2.2547492981
epoch time: 4.8428716660s, input_fired_time: 0.0826620385, output_fired_time: 0.0000000000, propagate_forward_time: 4.3697400093, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3904695511
validation[          , genome  4467] predictions:    9582/  10000 (95.82%), best:    9659/10000 (96.59%), error:      1459.59912, best error:      1194.29736 on epoch:    52, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 61.7065773010s, input_fired_time: 0.6910206079, output_fired_time: 0.5458569527, propagate_forward_time: 22.5884037018, propagate_backward_time: 35.6127548218, weight_update_time: 0.1018405706, other_time: 2.2685394287
epoch time: 5.4559135437s, input_fired_time: 0.0997463241, output_fired_time: 0.0000000000, propagate_forward_time: 4.8943753242, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4617919922
validation[          , genome  4467] predictions:    9578/  10000 (95.78%), best:    9659/10000 (96.59%), error:      1409.41565, best error:      1194.29736 on epoch:    52, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 63.7159423828s, input_fired_time: 0.6737281680, output_fired_time: 0.5485379696, propagate_forward_time: 23.5100555420, propagate_backward_time: 36.7263984680, weight_update_time: 0.1052730381, other_time: 2.2572212219
epoch time: 5.4487795830s, input_fired_time: 0.0833732262, output_fired_time: 0.0000000000, propagate_forward_time: 4.9214749336, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4439315796
validation[          , genome  4467] predictions:    9659/  10000 (96.59%), best:    9659/10000 (96.59%), error:      1224.75122, best error:      1194.29736 on epoch:    52, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 64.8187179565s, input_fired_time: 0.6701039076, output_fired_time: 0.5660243034, propagate_forward_time: 23.9888153076, propagate_backward_time: 37.2931709290, weight_update_time: 0.1079539731, other_time: 2.3006019592
epoch time: 4.9837532043s, input_fired_time: 0.0833404586, output_fired_time: 0.0000000000, propagate_forward_time: 4.5053315163, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3950810432
validation[          , genome  4467] predictions:    9564/  10000 (95.64%), best:    9659/10000 (96.59%), error:      1511.69714, best error:      1194.29736 on epoch:    52, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 67.6041870117s, input_fired_time: 0.7819296718, output_fired_time: 0.5671442151, propagate_forward_time: 24.9543762207, propagate_backward_time: 38.8808593750, weight_update_time: 0.1084383279, other_time: 2.4198760986
epoch time: 5.5538797379s, input_fired_time: 0.0867069587, output_fired_time: 0.0000000000, propagate_forward_time: 5.0501165390, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4170560837
validation[          , genome  4467] predictions:    9621/  10000 (96.21%), best:    9659/10000 (96.59%), error:      1274.54639, best error:      1194.29736 on epoch:    52, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 65.1683731079s, input_fired_time: 0.6808946729, output_fired_time: 0.5732542872, propagate_forward_time: 24.0767822266, propagate_backward_time: 37.4757919312, weight_update_time: 0.1065791920, other_time: 2.3616523743
epoch time: 5.1432414055s, input_fired_time: 0.0832262933, output_fired_time: 0.0000000000, propagate_forward_time: 4.6635174751, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3964977264
validation[          , genome  4467] predictions:    9617/  10000 (96.17%), best:    9659/10000 (96.59%), error:      1313.88391, best error:      1194.29736 on epoch:    52, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 64.8791198730s, input_fired_time: 0.6645590067, output_fired_time: 0.5555595160, propagate_forward_time: 24.0355472565, propagate_backward_time: 37.3062591553, weight_update_time: 0.1059157103, other_time: 2.3171920776
epoch time: 5.3595290184s, input_fired_time: 0.0884221494, output_fired_time: 0.0000000000, propagate_forward_time: 4.8485074043, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4225993156
validation[          , genome  4467] predictions:    9644/  10000 (96.44%), best:    9659/10000 (96.59%), error:      1269.38379, best error:      1194.29736 on epoch:    52, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 65.5977783203s, input_fired_time: 0.6828125715, output_fired_time: 0.6375430822, propagate_forward_time: 24.1527233124, propagate_backward_time: 37.7727088928, weight_update_time: 0.1225339770, other_time: 2.3519859314
epoch time: 5.1469645500s, input_fired_time: 0.0825790763, output_fired_time: 0.0000000000, propagate_forward_time: 4.6432795525, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4211058617
validation[          , genome  4467] predictions:    9579/  10000 (95.79%), best:    9659/10000 (96.59%), error:      1346.13953, best error:      1194.29736 on epoch:    52, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 66.5841598511s, input_fired_time: 0.7149108648, output_fired_time: 0.5756414533, propagate_forward_time: 24.5771865845, propagate_backward_time: 38.3120574951, weight_update_time: 0.1073457003, other_time: 2.4043655396
epoch time: 5.4238314629s, input_fired_time: 0.0891441032, output_fired_time: 0.0000000000, propagate_forward_time: 4.9116325378, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4230546951
validation[          , genome  4467] predictions:    9618/  10000 (96.18%), best:    9659/10000 (96.59%), error:      1222.15283, best error:      1194.29736 on epoch:    52, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 66.5713500977s, input_fired_time: 0.7093845606, output_fired_time: 0.5996037722, propagate_forward_time: 24.5984210968, propagate_backward_time: 38.3334045410, weight_update_time: 0.1057272777, other_time: 2.3305435181
epoch time: 5.4931893349s, input_fired_time: 0.0870448574, output_fired_time: 0.0000000000, propagate_forward_time: 4.9931011200, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4130434990
validation[          , genome  4467] predictions:    9623/  10000 (96.23%), best:    9659/10000 (96.59%), error:      1257.74377, best error:      1194.29736 on epoch:    52, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 65.5406875610s, input_fired_time: 0.7155579925, output_fired_time: 0.6358898878, propagate_forward_time: 24.2398433685, propagate_backward_time: 37.6481628418, weight_update_time: 0.1072248742, other_time: 2.3012313843
epoch time: 4.9167098999s, input_fired_time: 0.0977080017, output_fired_time: 0.0000000000, propagate_forward_time: 4.4363765717, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3826251030
validation[          , genome  4467] predictions:    9621/  10000 (96.21%), best:    9659/10000 (96.59%), error:      1288.20569, best error:      1194.29736 on epoch:    52, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 66.5633468628s, input_fired_time: 0.6832991242, output_fired_time: 0.5590758324, propagate_forward_time: 24.4999599457, propagate_backward_time: 38.4226226807, weight_update_time: 0.1072448343, other_time: 2.3983917236
epoch time: 5.0350208282s, input_fired_time: 0.0812411979, output_fired_time: 0.0000000000, propagate_forward_time: 4.5566630363, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3971166611
validation[          , genome  4467] predictions:    9641/  10000 (96.41%), best:    9659/10000 (96.59%), error:      1232.30249, best error:      1194.29736 on epoch:    52, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 64.7583541870s, input_fired_time: 0.6691445112, output_fired_time: 0.5566870570, propagate_forward_time: 23.8371009827, propagate_backward_time: 37.3834533691, weight_update_time: 0.1066539660, other_time: 2.3119697571
epoch time: 4.7945737839s, input_fired_time: 0.0975728184, output_fired_time: 0.0000000000, propagate_forward_time: 4.2835474014, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4134535789
validation[          , genome  4467] predictions:    9640/  10000 (96.40%), best:    9659/10000 (96.59%), error:      1216.41565, best error:      1194.29736 on epoch:    52, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 64.8330688477s, input_fired_time: 0.6774460673, output_fired_time: 0.5489967465, propagate_forward_time: 24.0221328735, propagate_backward_time: 37.2836914063, weight_update_time: 0.1049889401, other_time: 2.3008041382
epoch time: 5.6471233368s, input_fired_time: 0.1028572768, output_fired_time: 0.0000000000, propagate_forward_time: 5.1028456688, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4414205551
validation[          , genome  4467] predictions:    9596/  10000 (95.96%), best:    9659/10000 (96.59%), error:      1394.71216, best error:      1194.29736 on epoch:    52, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 64.5204315186s, input_fired_time: 0.6752584577, output_fired_time: 0.6104175448, propagate_forward_time: 23.7277221680, propagate_backward_time: 37.2365455627, weight_update_time: 0.1046330854, other_time: 2.2704887390
epoch time: 5.7257847786s, input_fired_time: 0.0870642886, output_fired_time: 0.0000000000, propagate_forward_time: 5.2009840012, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4377365112
validation[          , genome  4467] predictions:    9636/  10000 (96.36%), best:    9659/10000 (96.59%), error:      1227.28198, best error:      1194.29736 on epoch:    52, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 62.7427024841s, input_fired_time: 0.6697909236, output_fired_time: 0.5381995440, propagate_forward_time: 23.0610980988, propagate_backward_time: 36.2022132874, weight_update_time: 0.1183084697, other_time: 2.2713966370
epoch time: 5.2788290977s, input_fired_time: 0.0851171315, output_fired_time: 0.0000000000, propagate_forward_time: 4.7466588020, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4470529556
validation[          , genome  4467] predictions:    9609/  10000 (96.09%), best:    9659/10000 (96.59%), error:      1327.62402, best error:      1194.29736 on epoch:    52, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 61.9705657959s, input_fired_time: 0.6566321850, output_fired_time: 0.5412788391, propagate_forward_time: 22.8005790710, propagate_backward_time: 35.7106819153, weight_update_time: 0.1031257063, other_time: 2.2613945007
epoch time: 5.2961974144s, input_fired_time: 0.1104207039, output_fired_time: 0.0000000000, propagate_forward_time: 4.7535457611, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4322309494
validation[          , genome  4467] predictions:    9589/  10000 (95.89%), best:    9659/10000 (96.59%), error:      1340.12842, best error:      1194.29736 on epoch:    52, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 60.4326324463s, input_fired_time: 0.6502633095, output_fired_time: 0.5319188237, propagate_forward_time: 22.1015243530, propagate_backward_time: 34.9473457336, weight_update_time: 0.1029040217, other_time: 2.2015800476
epoch time: 5.0512137413s, input_fired_time: 0.0844202638, output_fired_time: 0.0000000000, propagate_forward_time: 4.5531353951, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4136581421
validation[          , genome  4467] predictions:    9634/  10000 (96.34%), best:    9659/10000 (96.59%), error:      1269.15735, best error:      1194.29736 on epoch:    52, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 60.0087852478s, input_fired_time: 0.6479119062, output_fired_time: 0.5286322832, propagate_forward_time: 22.0794544220, propagate_backward_time: 34.5737037659, weight_update_time: 0.1008769199, other_time: 2.1790809631
epoch time: 5.0053286552s, input_fired_time: 0.0820983052, output_fired_time: 0.0000000000, propagate_forward_time: 4.5371551514, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3860750198
validation[          , genome  4467] predictions:    9601/  10000 (96.01%), best:    9659/10000 (96.59%), error:      1340.45349, best error:      1194.29736 on epoch:    52, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 61.6001358032s, input_fired_time: 0.6536903381, output_fired_time: 0.5360839367, propagate_forward_time: 22.5939750671, propagate_backward_time: 35.6163978577, weight_update_time: 0.1026905179, other_time: 2.1999893188
epoch time: 5.2678914070s, input_fired_time: 0.0992742032, output_fired_time: 0.0000000000, propagate_forward_time: 4.7480297089, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4205875397
validation[          , genome  4467] predictions:    9611/  10000 (96.11%), best:    9659/10000 (96.59%), error:      1359.92188, best error:      1194.29736 on epoch:    52, 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: 24.5278778076s, input_fired_time: 0.4017611742, output_fired_time: 0.0000000000, propagate_forward_time: 22.0606136322, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0655021667
best training[          , genome  4467] predictions:   48899/  50000 (97.80%), best:    9659/10000 (96.59%), error:      3904.68896, best error:      1194.29736 on epoch:    52, 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: 5.0183925629s, input_fired_time: 0.0818766132, output_fired_time: 0.0000000000, propagate_forward_time: 4.5323047638, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4042110443
   testing[          , genome  4467] predictions:    9697/  10000 (96.97%), best:    9659/10000 (96.59%), error:      1088.99268, best error:      1194.29736 on epoch:    52, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
00:33:30 (10868): called boinc_finish(0)

</stderr_txt>
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