Nameexact_genome_1512568488_43_4482_1
Workunit2593668
Created7 Dec 2017, 10:09:20 UTC
Sent7 Dec 2017, 10:12:37 UTC
Report deadline12 Dec 2017, 16:49:37 UTC
Received8 Dec 2017, 0:12:42 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time3 hours 45 min 6 sec
CPU time2 hours 41 min 57 sec
Validate stateValid
Credit1,318.93
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size154.28 MB
Peak swap size157.24 MB
Peak disk usage1.74 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
 learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 198.3257446289s, input_fired_time: 1.4570376873, output_fired_time: 1.6806055307, propagate_forward_time: 76.3264007568, propagate_backward_time: 113.2885971069, weight_update_time: 0.2050388157, other_time: 5.5731124878
epoch time: 14.9415740967s, input_fired_time: 0.1234432235, output_fired_time: 0.0000000000, propagate_forward_time: 14.1586055756, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6595249176
validation[          , genome  4482] predictions:    9641/  10000 (96.41%), best:    9641/10000 (96.41%), error:      1200.36499, best error:      1200.36499 on epoch:    27, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 193.4900817871s, input_fired_time: 2.0703067780, output_fired_time: 1.7269620895, propagate_forward_time: 75.0808792114, propagate_backward_time: 109.4944152832, weight_update_time: 0.1274763048, other_time: 5.1175155640
epoch time: 14.8227729797s, input_fired_time: 0.1237483993, output_fired_time: 0.0000000000, propagate_forward_time: 13.7981443405, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9008798599
validation[          , genome  4482] predictions:    9655/  10000 (96.55%), best:    9655/10000 (96.55%), error:      1163.52856, best error:      1163.52856 on epoch:    28, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 186.2773590088s, input_fired_time: 1.9775738716, output_fired_time: 1.1692922115, propagate_forward_time: 72.4944992065, propagate_backward_time: 105.6455383301, weight_update_time: 0.1426809281, other_time: 4.9904556274
epoch time: 16.5754985809s, input_fired_time: 0.1702902466, output_fired_time: 0.0000000000, propagate_forward_time: 15.5332107544, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8719978333
validation[          , genome  4482] predictions:    9604/  10000 (96.04%), best:    9655/10000 (96.55%), error:      1273.06799, best error:      1163.52856 on epoch:    28, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 191.0584869385s, input_fired_time: 1.6958845854, output_fired_time: 1.1521387100, propagate_forward_time: 73.1783370972, propagate_backward_time: 109.4904556274, weight_update_time: 0.2365681678, other_time: 5.5416717529
epoch time: 19.1659793854s, input_fired_time: 0.4216136932, output_fired_time: 0.0000000000, propagate_forward_time: 17.6705875397, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0737781525
validation[          , genome  4482] predictions:    9610/  10000 (96.10%), best:    9655/10000 (96.55%), error:      1368.96619, best error:      1163.52856 on epoch:    28, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 213.9379730225s, input_fired_time: 1.2889453173, output_fired_time: 1.6638678312, propagate_forward_time: 82.7204971313, propagate_backward_time: 121.5670242310, weight_update_time: 0.2212055624, other_time: 6.6976547241
epoch time: 19.1822071075s, input_fired_time: 0.2346258461, output_fired_time: 0.0000000000, propagate_forward_time: 17.4646739960, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4829063416
validation[          , genome  4482] predictions:    9636/  10000 (96.36%), best:    9655/10000 (96.55%), error:      1215.27917, best error:      1163.52856 on epoch:    28, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 226.8533172607s, input_fired_time: 1.8844753504, output_fired_time: 1.7989749908, propagate_forward_time: 82.6222534180, propagate_backward_time: 133.8448181152, weight_update_time: 0.5805073977, other_time: 6.7027893066
epoch time: 18.9322338104s, input_fired_time: 0.2124783546, output_fired_time: 0.0000000000, propagate_forward_time: 17.0826396942, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6371154785
validation[          , genome  4482] predictions:    9669/  10000 (96.69%), best:    9669/10000 (96.69%), error:      1130.14648, best error:      1130.14648 on epoch:    32, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 237.8919067383s, input_fired_time: 3.2895762920, output_fired_time: 2.0556931496, propagate_forward_time: 88.4629974365, propagate_backward_time: 136.3516235352, weight_update_time: 0.3892739117, other_time: 7.7320098877
epoch time: 20.0794658661s, input_fired_time: 0.1083496809, output_fired_time: 0.0000000000, propagate_forward_time: 18.3950214386, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5760955811
validation[          , genome  4482] predictions:    9629/  10000 (96.29%), best:    9669/10000 (96.69%), error:      1252.24890, best error:      1130.14648 on epoch:    32, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 215.6826934814s, input_fired_time: 2.2295429707, output_fired_time: 1.2273329496, propagate_forward_time: 82.0627746582, propagate_backward_time: 124.9133605957, weight_update_time: 0.1272028685, other_time: 5.2496948242
epoch time: 16.3599472046s, input_fired_time: 0.1561648697, output_fired_time: 0.0000000000, propagate_forward_time: 15.0337209702, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1700620651
validation[          , genome  4482] predictions:    9591/  10000 (95.91%), best:    9669/10000 (96.69%), error:      1337.75928, best error:      1130.14648 on epoch:    32, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 162.0110778809s, input_fired_time: 1.2748137712, output_fired_time: 1.5871317387, propagate_forward_time: 63.0025444031, propagate_backward_time: 90.5454635620, weight_update_time: 0.1580870599, other_time: 5.6011276245
epoch time: 12.3541727066s, input_fired_time: 0.1235722974, output_fired_time: 0.0000000000, propagate_forward_time: 11.2343034744, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9962968826
validation[          , genome  4482] predictions:    9669/  10000 (96.69%), best:    9669/10000 (96.69%), error:      1115.20605, best error:      1115.20605 on epoch:    35, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 159.6291351318s, input_fired_time: 1.2352300882, output_fired_time: 1.6529712677, propagate_forward_time: 60.7632522583, propagate_backward_time: 90.5726318359, weight_update_time: 0.2527875602, other_time: 5.4050521851
epoch time: 12.1039247513s, input_fired_time: 0.1089543626, output_fired_time: 0.0000000000, propagate_forward_time: 10.4357700348, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5592002869
validation[          , genome  4482] predictions:    9679/  10000 (96.79%), best:    9679/10000 (96.79%), error:      1073.41260, best error:      1073.41260 on epoch:    36, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 187.0042724609s, input_fired_time: 1.5796344280, output_fired_time: 1.1523237228, propagate_forward_time: 65.7867965698, propagate_backward_time: 113.2171096802, weight_update_time: 0.4241674244, other_time: 5.2684020996
epoch time: 13.2686281204s, input_fired_time: 0.1241559610, output_fired_time: 0.0000000000, propagate_forward_time: 12.5523138046, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5921583176
validation[          , genome  4482] predictions:    9660/  10000 (96.60%), best:    9679/10000 (96.79%), error:      1153.35815, best error:      1073.41260 on epoch:    36, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 115.3074951172s, input_fired_time: 1.1389715672, output_fired_time: 0.9848045707, propagate_forward_time: 44.1837043762, propagate_backward_time: 65.5939483643, weight_update_time: 0.2747883201, other_time: 3.4060668945
epoch time: 8.0854501724s, input_fired_time: 0.1006695330, output_fired_time: 0.0000000000, propagate_forward_time: 7.5000414848, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4847393036
validation[          , genome  4482] predictions:    9685/  10000 (96.85%), best:    9679/10000 (96.79%), error:      1091.30554, best error:      1073.41260 on epoch:    36, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 105.7386245728s, input_fired_time: 0.9353993535, output_fired_time: 0.7491676807, propagate_forward_time: 40.1686172485, propagate_backward_time: 60.8770599365, weight_update_time: 0.1631302387, other_time: 3.0083770752
epoch time: 7.9251251221s, input_fired_time: 0.0994376317, output_fired_time: 0.0000000000, propagate_forward_time: 7.3181290627, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5075583458
validation[          , genome  4482] predictions:    9623/  10000 (96.23%), best:    9679/10000 (96.79%), error:      1264.52698, best error:      1073.41260 on epoch:    36, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

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_4482.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_4482_1_r2064622905_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: 0.927029
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0016064
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 6.4256e-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: 40
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 36
read number_validation_images: 10000
read best_validation_predictions: 9679
read best_validation_error: 1073.41
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: 4482
read normal distribution: '0 -0.56321132183075 0.861307978630066'
generator_str: '1593896021'
read generator: 1593896021
read generated_by_map:
1 merge_node 1
reading 19 nodes.
reading 37 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: 98.0590286254883s, input_fired_time: 0.841978371143341, output_fired_time: 0.695696711540222, propagate_forward_time: 36.770622253418, propagate_backward_time: 56.9213905334473, weight_update_time: 0.143605217337608, other_time: 2.82934188842773
epoch time: 8.33501815795898s, input_fired_time: 0.177210777997971, output_fired_time: 0, propagate_forward_time: 7.4757137298584, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.682093620300293
validation[          , genome  4482] predictions:    9636/  10000 (96.36%), best:    9679/10000 (96.79%), error:      1176.54395, best error:      1073.41260 on epoch:    36, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 93.1668472290s, input_fired_time: 0.8804036975, output_fired_time: 0.7020639181, propagate_forward_time: 34.9245452881, propagate_backward_time: 54.0210762024, weight_update_time: 0.1118484363, other_time: 2.6387596130
epoch time: 7.7470855713s, input_fired_time: 0.1112187281, output_fired_time: 0.0000000000, propagate_forward_time: 7.1718950272, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4639716148
validation[          , genome  4482] predictions:    9659/  10000 (96.59%), best:    9679/10000 (96.79%), error:      1184.75830, best error:      1073.41260 on epoch:    36, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 93.4307785034s, input_fired_time: 0.8518598676, output_fired_time: 0.7194626331, propagate_forward_time: 35.1548995972, propagate_backward_time: 53.9360313416, weight_update_time: 0.1139682233, other_time: 2.7685279846
epoch time: 7.8655633926s, input_fired_time: 0.1017690003, output_fired_time: 0.0000000000, propagate_forward_time: 7.2826175690, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4811768532
validation[          , genome  4482] predictions:    9639/  10000 (96.39%), best:    9679/10000 (96.79%), error:      1204.67761, best error:      1073.41260 on epoch:    36, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 93.0072402954s, input_fired_time: 0.8720523119, output_fired_time: 0.7289304733, propagate_forward_time: 34.9339065552, propagate_backward_time: 53.8877105713, weight_update_time: 0.1157699302, other_time: 2.5846405029
epoch time: 8.7704458237s, input_fired_time: 0.1007849500, output_fired_time: 0.0000000000, propagate_forward_time: 8.0537157059, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6159448624
validation[          , genome  4482] predictions:    9659/  10000 (96.59%), best:    9679/10000 (96.79%), error:      1162.28235, best error:      1073.41260 on epoch:    36, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 96.6203918457s, input_fired_time: 0.8359301090, output_fired_time: 0.7957047820, propagate_forward_time: 35.9015617371, propagate_backward_time: 56.1360206604, weight_update_time: 0.1129211336, other_time: 2.9511718750
epoch time: 7.6125020981s, input_fired_time: 0.0975643396, output_fired_time: 0.0000000000, propagate_forward_time: 6.9650568962, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5498809814
validation[          , genome  4482] predictions:    9669/  10000 (96.69%), best:    9679/10000 (96.79%), error:      1150.04065, best error:      1073.41260 on epoch:    36, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 94.0282287598s, input_fired_time: 0.8105144501, output_fired_time: 0.7667455673, propagate_forward_time: 34.9672508240, propagate_backward_time: 54.6473617554, weight_update_time: 0.1591933966, other_time: 2.8363533020
epoch time: 7.5326790810s, input_fired_time: 0.1001162007, output_fired_time: 0.0000000000, propagate_forward_time: 6.9020442963, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5305185318
validation[          , genome  4482] predictions:    9642/  10000 (96.42%), best:    9679/10000 (96.79%), error:      1202.25989, best error:      1073.41260 on epoch:    36, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 94.7418594360s, input_fired_time: 0.8889383674, output_fired_time: 0.8334833980, propagate_forward_time: 35.5825767517, propagate_backward_time: 54.7469367981, weight_update_time: 0.1155190915, other_time: 2.6899261475
epoch time: 7.3302674294s, input_fired_time: 0.1323744357, output_fired_time: 0.0000000000, propagate_forward_time: 6.7416663170, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4562268257
validation[          , genome  4482] predictions:    9667/  10000 (96.67%), best:    9679/10000 (96.79%), error:      1167.99854, best error:      1073.41260 on epoch:    36, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 89.3357620239s, input_fired_time: 0.8695489168, output_fired_time: 0.7518465519, propagate_forward_time: 33.2268676758, propagate_backward_time: 51.9511566162, weight_update_time: 0.1129856557, other_time: 2.5363388062
epoch time: 7.3977251053s, input_fired_time: 0.1053863689, output_fired_time: 0.0000000000, propagate_forward_time: 6.8193883896, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4729504585
validation[          , genome  4482] predictions:    9661/  10000 (96.61%), best:    9679/10000 (96.79%), error:      1128.03552, best error:      1073.41260 on epoch:    36, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 89.1568756104s, input_fired_time: 0.8530783057, output_fired_time: 0.7980094552, propagate_forward_time: 33.2487068176, propagate_backward_time: 51.7227096558, weight_update_time: 0.1280910671, other_time: 2.5343666077
epoch time: 7.7744574547s, input_fired_time: 0.1005027816, output_fired_time: 0.0000000000, propagate_forward_time: 7.2100481987, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4639062881
validation[          , genome  4482] predictions:    9580/  10000 (95.80%), best:    9679/10000 (96.79%), error:      1368.30212, best error:      1073.41260 on epoch:    36, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 88.5529632568s, input_fired_time: 0.8034990430, output_fired_time: 0.7820538878, propagate_forward_time: 32.6756706238, propagate_backward_time: 51.7084884644, weight_update_time: 0.1120973155, other_time: 2.5832557678
epoch time: 7.4732527733s, input_fired_time: 0.0953314975, output_fired_time: 0.0000000000, propagate_forward_time: 6.8201918602, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5577292442
validation[          , genome  4482] predictions:    9690/  10000 (96.90%), best:    9679/10000 (96.79%), error:      1119.73682, best error:      1073.41260 on epoch:    36, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 89.2629776001s, input_fired_time: 0.7873604298, output_fired_time: 0.7778631449, propagate_forward_time: 33.2547340393, propagate_backward_time: 51.8225479126, weight_update_time: 0.1113636419, other_time: 2.6204719543
epoch time: 7.1635303497s, input_fired_time: 0.0952259228, output_fired_time: 0.0000000000, propagate_forward_time: 6.5411481857, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5271563530
validation[          , genome  4482] predictions:    9635/  10000 (96.35%), best:    9679/10000 (96.79%), error:      1171.59302, best error:      1073.41260 on epoch:    36, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 86.4928741455s, input_fired_time: 0.8340025544, output_fired_time: 0.6831399798, propagate_forward_time: 32.2670326233, propagate_backward_time: 50.1821632385, weight_update_time: 0.1112228259, other_time: 2.5265350342
epoch time: 7.1482543945s, input_fired_time: 0.1008140668, output_fired_time: 0.0000000000, propagate_forward_time: 6.5767812729, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4706592560
validation[          , genome  4482] predictions:    9673/  10000 (96.73%), best:    9679/10000 (96.79%), error:      1076.12097, best error:      1073.41260 on epoch:    36, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 89.2162551880s, input_fired_time: 0.8479139805, output_fired_time: 0.7137506604, propagate_forward_time: 33.3618583679, propagate_backward_time: 51.7303771973, weight_update_time: 0.1136743128, other_time: 2.5623512268
epoch time: 7.1572175026s, input_fired_time: 0.1008939445, output_fired_time: 0.0000000000, propagate_forward_time: 6.5990529060, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4572706223
validation[          , genome  4482] predictions:    9653/  10000 (96.53%), best:    9679/10000 (96.79%), error:      1179.97021, best error:      1073.41260 on epoch:    36, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 89.8710556030s, input_fired_time: 0.8799602389, output_fired_time: 0.7111856341, propagate_forward_time: 33.6676979065, propagate_backward_time: 52.0552825928, weight_update_time: 0.1126497909, other_time: 2.5569267273
epoch time: 6.8692140579s, input_fired_time: 0.1004428193, output_fired_time: 0.0000000000, propagate_forward_time: 6.3130316734, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4557394981
validation[          , genome  4482] predictions:    9679/  10000 (96.79%), best:    9679/10000 (96.79%), error:      1104.33789, best error:      1073.41260 on epoch:    36, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 88.4750518799s, input_fired_time: 0.8716683388, output_fired_time: 0.6875686049, propagate_forward_time: 33.4778747559, propagate_backward_time: 50.9557266235, weight_update_time: 0.1116815731, other_time: 2.4822158813
epoch time: 7.1386079788s, input_fired_time: 0.1019625589, output_fired_time: 0.0000000000, propagate_forward_time: 6.5582699776, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4783754349
validation[          , genome  4482] predictions:    9684/  10000 (96.84%), best:    9684/10000 (96.84%), error:      1072.42859, best error:      1072.42859 on epoch:    54, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 90.3452682495s, input_fired_time: 0.8105668426, output_fired_time: 0.6893992424, propagate_forward_time: 33.6566162109, propagate_backward_time: 52.5624389648, weight_update_time: 0.1280772686, other_time: 2.6262435913
epoch time: 7.3477988243s, input_fired_time: 0.1759445667, output_fired_time: 0.0000000000, propagate_forward_time: 6.7059607506, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4658932686
validation[          , genome  4482] predictions:    9673/  10000 (96.73%), best:    9684/10000 (96.84%), error:      1111.59924, best error:      1072.42859 on epoch:    54, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

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_4482.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_4482_1_r2064622905_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: 0.962285
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00070702
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.82808e-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: 56
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 54
read number_validation_images: 10000
read best_validation_predictions: 9684
read best_validation_error: 1072.43
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: 4482
read normal distribution: '0 -0.56321132183075 0.861307978630066'
generator_str: '580753617'
read generator: 580753617
read generated_by_map:
1 merge_node 1
reading 19 nodes.
reading 37 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: 151.725921630859s, input_fired_time: 0.908966362476349, output_fired_time: 0.903479933738708, propagate_forward_time: 53.6991195678711, propagate_backward_time: 92.1934051513672, weight_update_time: 0.131308749318123, other_time: 4.02095794677734
epoch time: 12.9614496231079s, input_fired_time: 0.188037976622581, output_fired_time: 0, propagate_forward_time: 11.9369831085205, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.836428642272949
validation[          , genome  4482] predictions:    9668/  10000 (96.68%), best:    9684/10000 (96.84%), error:      1153.21558, best error:      1072.42859 on epoch:    54, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 155.1837768555s, input_fired_time: 1.7387312651, output_fired_time: 1.4982006550, propagate_forward_time: 57.7038497925, propagate_backward_time: 90.1188735962, weight_update_time: 0.2681011856, other_time: 4.1241302490
epoch time: 12.6414499283s, input_fired_time: 0.1103751063, output_fired_time: 0.0000000000, propagate_forward_time: 11.7420177460, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7890567780
validation[          , genome  4482] predictions:    9681/  10000 (96.81%), best:    9684/10000 (96.84%), error:      1103.31494, best error:      1072.42859 on epoch:    54, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 143.5843963623s, input_fired_time: 0.9550544620, output_fired_time: 1.3543689251, propagate_forward_time: 57.0649299622, propagate_backward_time: 80.0079879761, weight_update_time: 0.1429252625, other_time: 4.2020645142
epoch time: 11.9585828781s, input_fired_time: 0.1419835836, output_fired_time: 0.0000000000, propagate_forward_time: 11.0104398727, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8061590195
validation[          , genome  4482] predictions:    9660/  10000 (96.60%), best:    9684/10000 (96.84%), error:      1108.97925, best error:      1072.42859 on epoch:    54, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 144.1392211914s, input_fired_time: 1.1744495630, output_fired_time: 1.2342603207, propagate_forward_time: 51.6711311340, propagate_backward_time: 86.6348037720, weight_update_time: 0.3925602138, other_time: 3.4245834351
epoch time: 11.5057296753s, input_fired_time: 0.4075189233, output_fired_time: 0.0000000000, propagate_forward_time: 10.5085172653, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5896930695
validation[          , genome  4482] predictions:    9666/  10000 (96.66%), best:    9684/10000 (96.84%), error:      1151.67822, best error:      1072.42859 on epoch:    54, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 148.7241821289s, input_fired_time: 1.2519944906, output_fired_time: 1.2296042442, propagate_forward_time: 59.0799636841, propagate_backward_time: 83.8389129639, weight_update_time: 0.1273877919, other_time: 3.3237075806
epoch time: 11.9523715973s, input_fired_time: 0.1106167808, output_fired_time: 0.0000000000, propagate_forward_time: 11.0686206818, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7731342316
validation[          , genome  4482] predictions:    9656/  10000 (96.56%), best:    9684/10000 (96.84%), error:      1168.60986, best error:      1072.42859 on epoch:    54, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 151.7471008301s, input_fired_time: 1.7059937716, output_fired_time: 1.1688376665, propagate_forward_time: 59.8455276489, propagate_backward_time: 85.5629119873, weight_update_time: 0.1271235943, other_time: 3.4638290405
epoch time: 12.5096006393s, input_fired_time: 0.1107130647, output_fired_time: 0.0000000000, propagate_forward_time: 11.6103010178, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7885866165
validation[          , genome  4482] predictions:    9641/  10000 (96.41%), best:    9684/10000 (96.84%), error:      1188.47473, best error:      1072.42859 on epoch:    54, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 146.8487091064s, input_fired_time: 1.8493729830, output_fired_time: 1.5604732037, propagate_forward_time: 55.7105674744, propagate_backward_time: 84.1120986938, weight_update_time: 0.1274333894, other_time: 3.6161880493
epoch time: 12.4115571976s, input_fired_time: 0.4074988663, output_fired_time: 0.0000000000, propagate_forward_time: 11.1704292297, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8336286545
validation[          , genome  4482] predictions:    9675/  10000 (96.75%), best:    9684/10000 (96.84%), error:      1095.70459, best error:      1072.42859 on epoch:    54, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 134.8646850586s, input_fired_time: 1.8792577982, output_fired_time: 1.0587695837, propagate_forward_time: 50.2068710327, propagate_backward_time: 77.5137939453, weight_update_time: 0.1270427108, other_time: 4.2059860229
epoch time: 10.6557044983s, input_fired_time: 0.3607693017, output_fired_time: 0.0000000000, propagate_forward_time: 9.5698165894, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7251186371
validation[          , genome  4482] predictions:    9652/  10000 (96.52%), best:    9684/10000 (96.84%), error:      1161.00403, best error:      1072.42859 on epoch:    54, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 133.4537048340s, input_fired_time: 1.4236060381, output_fired_time: 1.1366434097, propagate_forward_time: 51.1196403503, propagate_backward_time: 75.8527755737, weight_update_time: 0.1268578470, other_time: 3.9210433960
epoch time: 10.3323802948s, input_fired_time: 0.6104428172, output_fired_time: 0.0000000000, propagate_forward_time: 8.9970531464, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7248840332
validation[          , genome  4482] predictions:    9604/  10000 (96.04%), best:    9684/10000 (96.84%), error:      1270.77197, best error:      1072.42859 on epoch:    54, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 119.7418212891s, input_fired_time: 1.1016157866, output_fired_time: 1.5718452930, propagate_forward_time: 43.7222213745, propagate_backward_time: 70.2929916382, weight_update_time: 0.1215186641, other_time: 3.0531463623
epoch time: 6.5937705040s, input_fired_time: 0.0968268216, output_fired_time: 0.0000000000, propagate_forward_time: 6.0421948433, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4547486305
validation[          , genome  4482] predictions:    9658/  10000 (96.58%), best:    9684/10000 (96.84%), error:      1129.68140, best error:      1072.42859 on epoch:    54, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 84.8633956909s, input_fired_time: 0.7927713990, output_fired_time: 0.6782698631, propagate_forward_time: 31.6335849762, propagate_backward_time: 49.3659019470, weight_update_time: 0.1095412374, other_time: 2.3928718567
epoch time: 6.5526885986s, input_fired_time: 0.0974279419, output_fired_time: 0.0000000000, propagate_forward_time: 6.0293836594, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4258770943
validation[          , genome  4482] predictions:    9679/  10000 (96.79%), best:    9684/10000 (96.84%), error:      1078.39539, best error:      1072.42859 on epoch:    54, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 84.7226181030s, input_fired_time: 0.8023389578, output_fired_time: 0.7216808796, propagate_forward_time: 31.4580650330, propagate_backward_time: 49.2643241882, weight_update_time: 0.1081808656, other_time: 2.4762115479
epoch time: 7.3266339302s, input_fired_time: 0.1113684550, output_fired_time: 0.0000000000, propagate_forward_time: 6.7521429062, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4631223679
validation[          , genome  4482] predictions:    9664/  10000 (96.64%), best:    9684/10000 (96.84%), error:      1172.00085, best error:      1072.42859 on epoch:    54, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 84.6643142700s, input_fired_time: 0.8408449292, output_fired_time: 0.6671281457, propagate_forward_time: 31.6950473785, propagate_backward_time: 49.1020126343, weight_update_time: 0.1096093282, other_time: 2.3592834473
epoch time: 6.6867885590s, input_fired_time: 0.0955780521, output_fired_time: 0.0000000000, propagate_forward_time: 6.1907024384, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4005079269
validation[          , genome  4482] predictions:    9661/  10000 (96.61%), best:    9684/10000 (96.84%), error:      1177.02917, best error:      1072.42859 on epoch:    54, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 82.3864059448s, input_fired_time: 0.7758026719, output_fired_time: 0.6767426729, propagate_forward_time: 30.6494636536, propagate_backward_time: 47.9418029785, weight_update_time: 0.1093748957, other_time: 2.3425941467
epoch time: 6.9119915962s, input_fired_time: 0.1279437393, output_fired_time: 0.0000000000, propagate_forward_time: 6.3476157188, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4364323616
validation[          , genome  4482] predictions:    9640/  10000 (96.40%), best:    9684/10000 (96.84%), error:      1182.37988, best error:      1072.42859 on epoch:    54, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 82.3610687256s, input_fired_time: 0.8823083043, output_fired_time: 0.6727014780, propagate_forward_time: 30.5968627930, propagate_backward_time: 47.9144859314, weight_update_time: 0.1088873670, other_time: 2.2947120667
epoch time: 6.4537301064s, input_fired_time: 0.0974396840, output_fired_time: 0.0000000000, propagate_forward_time: 5.9486994743, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4075908661
validation[          , genome  4482] predictions:    9664/  10000 (96.64%), best:    9684/10000 (96.84%), error:      1172.93835, best error:      1072.42859 on epoch:    54, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 82.2844161987s, input_fired_time: 0.8076804280, output_fired_time: 0.6934722066, propagate_forward_time: 30.6655845642, propagate_backward_time: 47.8107299805, weight_update_time: 0.1092908531, other_time: 2.3069496155
epoch time: 6.8609676361s, input_fired_time: 0.0961494818, output_fired_time: 0.0000000000, propagate_forward_time: 6.3123946190, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4524235725
validation[          , genome  4482] predictions:    9623/  10000 (96.23%), best:    9684/10000 (96.84%), error:      1311.45654, best error:      1072.42859 on epoch:    54, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 83.7482452393s, input_fired_time: 0.8709719777, output_fired_time: 0.6914589405, propagate_forward_time: 30.8072624207, propagate_backward_time: 48.8734359741, weight_update_time: 0.1248426959, other_time: 2.5051155090
epoch time: 6.6111898422s, input_fired_time: 0.0980044901, output_fired_time: 0.0000000000, propagate_forward_time: 6.1007671356, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4124183655
validation[          , genome  4482] predictions:    9654/  10000 (96.54%), best:    9684/10000 (96.84%), error:      1164.72778, best error:      1072.42859 on epoch:    54, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 83.7756958008s, input_fired_time: 0.7833959460, output_fired_time: 0.7304818630, propagate_forward_time: 31.1431064606, propagate_backward_time: 48.7704620361, weight_update_time: 0.1102324724, other_time: 2.3482513428
epoch time: 6.6131429672s, input_fired_time: 0.0990274325, output_fired_time: 0.0000000000, propagate_forward_time: 6.0650305748, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4490847588
validation[          , genome  4482] predictions:    9654/  10000 (96.54%), best:    9684/10000 (96.84%), error:      1095.75562, best error:      1072.42859 on epoch:    54, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 83.2699356079s, input_fired_time: 0.8108599186, output_fired_time: 0.6924937963, propagate_forward_time: 30.8174934387, propagate_backward_time: 48.5992355347, weight_update_time: 0.1252366453, other_time: 2.3498497009
epoch time: 6.9674983025s, input_fired_time: 0.1005491540, output_fired_time: 0.0000000000, propagate_forward_time: 6.4446167946, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4223322868
validation[          , genome  4482] predictions:    9682/  10000 (96.82%), best:    9684/10000 (96.84%), error:      1115.07117, best error:      1072.42859 on epoch:    54, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 86.4284591675s, input_fired_time: 0.8122063279, output_fired_time: 0.6852903366, propagate_forward_time: 32.1487998962, propagate_backward_time: 50.1979064941, weight_update_time: 0.1131293625, other_time: 2.5842552185
epoch time: 7.2328767776s, input_fired_time: 0.1038040444, output_fired_time: 0.0000000000, propagate_forward_time: 6.6910805702, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4379920959
validation[          , genome  4482] predictions:    9661/  10000 (96.61%), best:    9684/10000 (96.84%), error:      1103.82581, best error:      1072.42859 on epoch:    54, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 85.7638626099s, input_fired_time: 0.7954173088, output_fired_time: 0.7125529051, propagate_forward_time: 31.7126731873, propagate_backward_time: 50.0535545349, weight_update_time: 0.1285752505, other_time: 2.4896621704
epoch time: 7.1751585007s, input_fired_time: 0.1163389906, output_fired_time: 0.0000000000, propagate_forward_time: 6.6063280106, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4524912834
validation[          , genome  4482] predictions:    9591/  10000 (95.91%), best:    9684/10000 (96.84%), error:      1336.85510, best error:      1072.42859 on epoch:    54, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 88.9914855957s, input_fired_time: 0.8264414072, output_fired_time: 0.7036468387, propagate_forward_time: 33.3218841553, propagate_backward_time: 51.6346435547, weight_update_time: 0.1296069622, other_time: 2.5048751831
epoch time: 7.0302515030s, input_fired_time: 0.1016689539, output_fired_time: 0.0000000000, propagate_forward_time: 6.4871525764, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4414300919
validation[          , genome  4482] predictions:    9679/  10000 (96.79%), best:    9684/10000 (96.84%), error:      1118.22229, best error:      1072.42859 on epoch:    54, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 122.0274963379s, input_fired_time: 1.6973278522, output_fired_time: 0.7867090702, propagate_forward_time: 46.0906372070, propagate_backward_time: 70.2970504761, weight_update_time: 0.1239342242, other_time: 3.1557693481
epoch time: 11.2907934189s, input_fired_time: 0.1116285101, output_fired_time: 0.0000000000, propagate_forward_time: 10.6573591232, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5218057632
validation[          , genome  4482] predictions:    9675/  10000 (96.75%), best:    9684/10000 (96.84%), error:      1145.38037, best error:      1072.42859 on epoch:    54, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 134.0232238770s, input_fired_time: 1.3694685698, output_fired_time: 1.5738716125, propagate_forward_time: 50.2093772888, propagate_backward_time: 78.1659545898, weight_update_time: 0.1427071542, other_time: 2.7045593262
epoch time: 11.0319128036s, input_fired_time: 0.1117263436, output_fired_time: 0.0000000000, propagate_forward_time: 10.1957988739, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7243871689
validation[          , genome  4482] predictions:    9690/  10000 (96.90%), best:    9684/10000 (96.84%), error:      1101.72131, best error:      1072.42859 on epoch:    54, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 134.5662384033s, input_fired_time: 1.1954683065, output_fired_time: 0.7938489914, propagate_forward_time: 52.3885269165, propagate_backward_time: 76.2388763428, weight_update_time: 0.1268890798, other_time: 3.9495162964
epoch time: 10.8028402328s, input_fired_time: 0.1435969174, output_fired_time: 0.0000000000, propagate_forward_time: 10.1510133743, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5082302094
validation[          , genome  4482] predictions:    9674/  10000 (96.74%), best:    9684/10000 (96.84%), error:      1113.87085, best error:      1072.42859 on epoch:    54, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 135.2947692871s, input_fired_time: 1.0636395216, output_fired_time: 0.8410342932, propagate_forward_time: 48.9817008972, propagate_backward_time: 79.6537017822, weight_update_time: 0.3770413399, other_time: 4.7546844482
epoch time: 11.1928758621s, input_fired_time: 0.1159708872, output_fired_time: 0.0000000000, propagate_forward_time: 10.5247907639, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5521144867
validation[          , genome  4482] predictions:    9655/  10000 (96.55%), best:    9684/10000 (96.84%), error:      1200.33606, best error:      1072.42859 on epoch:    54, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 134.6931152344s, input_fired_time: 0.9385276437, output_fired_time: 1.0258551836, propagate_forward_time: 49.6162338257, propagate_backward_time: 80.0957641602, weight_update_time: 0.3923656940, other_time: 3.0167465210
epoch time: 10.9725894928s, input_fired_time: 0.1437413543, output_fired_time: 0.0000000000, propagate_forward_time: 10.0412235260, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7876243591
validation[          , genome  4482] predictions:    9622/  10000 (96.22%), best:    9684/10000 (96.84%), error:      1221.32703, best error:      1072.42859 on epoch:    54, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 131.9141540527s, input_fired_time: 0.9154160023, output_fired_time: 1.3406572342, propagate_forward_time: 48.9182662964, propagate_backward_time: 76.9915771484, weight_update_time: 0.1580789983, other_time: 3.7482376099
epoch time: 11.1242952347s, input_fired_time: 0.1434842646, output_fired_time: 0.0000000000, propagate_forward_time: 10.2254714966, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7553396225
validation[          , genome  4482] predictions:    9650/  10000 (96.50%), best:    9684/10000 (96.84%), error:      1201.87134, best error:      1072.42859 on epoch:    54, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 132.3027343750s, input_fired_time: 0.8847639561, output_fired_time: 0.7773226500, propagate_forward_time: 48.3818817139, propagate_backward_time: 78.8046798706, weight_update_time: 0.1429433674, other_time: 3.4540786743
epoch time: 11.1089391708s, input_fired_time: 0.1121032164, output_fired_time: 0.0000000000, propagate_forward_time: 10.4097709656, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5870647430
validation[          , genome  4482] predictions:    9675/  10000 (96.75%), best:    9684/10000 (96.84%), error:      1114.16687, best error:      1072.42859 on epoch:    54, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 132.3232574463s, input_fired_time: 1.4017502069, output_fired_time: 0.8074437380, propagate_forward_time: 49.0935592651, propagate_backward_time: 77.3317947388, weight_update_time: 0.1268634349, other_time: 3.6887054443
epoch time: 10.9452695847s, input_fired_time: 0.1127769798, output_fired_time: 0.0000000000, propagate_forward_time: 9.8390617371, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9934310913
validation[          , genome  4482] predictions:    9593/  10000 (95.93%), best:    9684/10000 (96.84%), error:      1350.33093, best error:      1072.42859 on epoch:    54, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 131.5919799805s, input_fired_time: 1.1242866516, output_fired_time: 1.0281224251, propagate_forward_time: 52.2385292053, propagate_backward_time: 73.9472961426, weight_update_time: 0.3769156039, other_time: 3.2537536621
epoch time: 10.3628520966s, input_fired_time: 0.1121589914, output_fired_time: 0.0000000000, propagate_forward_time: 9.5261831284, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7245101929
validation[          , genome  4482] predictions:    9677/  10000 (96.77%), best:    9684/10000 (96.84%), error:      1094.33252, best error:      1072.42859 on epoch:    54, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 130.9937896729s, input_fired_time: 1.4008227587, output_fired_time: 1.0418033600, propagate_forward_time: 49.3641166687, propagate_backward_time: 75.7032546997, weight_update_time: 0.1419509351, other_time: 3.4837875366
epoch time: 10.6367244720s, input_fired_time: 0.1435969472, output_fired_time: 0.0000000000, propagate_forward_time: 9.5195436478, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9735841751
validation[          , genome  4482] predictions:    9669/  10000 (96.69%), best:    9684/10000 (96.84%), error:      1110.78796, best error:      1072.42859 on epoch:    54, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 131.2528839111s, input_fired_time: 1.6228238344, output_fired_time: 1.0270940065, propagate_forward_time: 49.0313262939, propagate_backward_time: 75.9024658203, weight_update_time: 0.1267789751, other_time: 3.6691741943
epoch time: 10.7259817123s, input_fired_time: 0.1121718213, output_fired_time: 0.0000000000, propagate_forward_time: 10.1407794952, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4730300903
validation[          , genome  4482] predictions:    9670/  10000 (96.70%), best:    9684/10000 (96.84%), error:      1195.12500, best error:      1072.42859 on epoch:    54, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 127.4600524902s, input_fired_time: 0.8659622073, output_fired_time: 1.3009338379, propagate_forward_time: 48.2650718689, propagate_backward_time: 73.6395950317, weight_update_time: 0.1730281264, other_time: 3.3884963989
epoch time: 10.4307918549s, input_fired_time: 0.1115763262, output_fired_time: 0.0000000000, propagate_forward_time: 9.5989189148, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7202968597
validation[          , genome  4482] predictions:    9648/  10000 (96.48%), best:    9684/10000 (96.84%), error:      1212.12488, best error:      1072.42859 on epoch:    54, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 122.1024856567s, input_fired_time: 0.8512575030, output_fired_time: 0.7480070591, propagate_forward_time: 45.5048789978, propagate_backward_time: 71.2204055786, weight_update_time: 0.1225370243, other_time: 3.7779312134
epoch time: 9.9738721848s, input_fired_time: 0.1096860021, output_fired_time: 0.0000000000, propagate_forward_time: 9.4040193558, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4601669312
validation[          , genome  4482] predictions:    9685/  10000 (96.85%), best:    9684/10000 (96.84%), error:      1080.43359, best error:      1072.42859 on epoch:    54, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 120.6789169312s, input_fired_time: 1.0927321911, output_fired_time: 0.7391259074, propagate_forward_time: 44.6865806580, propagate_backward_time: 70.3863906860, weight_update_time: 0.1221796572, other_time: 3.7740859985
epoch time: 9.5540142059s, input_fired_time: 0.1082892194, output_fired_time: 0.0000000000, propagate_forward_time: 8.9930810928, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4526443481
validation[          , genome  4482] predictions:    9661/  10000 (96.61%), best:    9684/10000 (96.84%), error:      1190.24463, best error:      1072.42859 on epoch:    54, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 119.6211853027s, input_fired_time: 0.8396834135, output_fired_time: 0.7338359356, propagate_forward_time: 46.1716499329, propagate_backward_time: 68.3764648438, weight_update_time: 0.1212037131, other_time: 3.4995574951
epoch time: 9.5288562775s, input_fired_time: 0.1077961773, output_fired_time: 0.0000000000, propagate_forward_time: 8.7205057144, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7005548477
validation[          , genome  4482] predictions:    9691/  10000 (96.91%), best:    9684/10000 (96.84%), error:      1101.45850, best error:      1072.42859 on epoch:    54, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 117.6028137207s, input_fired_time: 1.3306944370, output_fired_time: 0.9700402617, propagate_forward_time: 41.2735137939, propagate_backward_time: 71.0575637817, weight_update_time: 0.1194004565, other_time: 2.9710006714
epoch time: 9.3370132446s, input_fired_time: 0.1060409918, output_fired_time: 0.0000000000, propagate_forward_time: 8.7901573181, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4408149719
validation[          , genome  4482] predictions:    9664/  10000 (96.64%), best:    9684/10000 (96.84%), error:      1137.16663, best error:      1072.42859 on epoch:    54, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 116.9993133545s, input_fired_time: 0.8273794651, output_fired_time: 0.7145756483, propagate_forward_time: 46.8294258118, propagate_backward_time: 65.9263992310, weight_update_time: 0.1182033867, other_time: 2.7015304565
epoch time: 9.2278661728s, input_fired_time: 0.1050543562, output_fired_time: 0.0000000000, propagate_forward_time: 8.4348258972, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6879863739
validation[          , genome  4482] predictions:    9669/  10000 (96.69%), best:    9684/10000 (96.84%), error:      1128.60889, best error:      1072.42859 on epoch:    54, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 82.7307205200s, input_fired_time: 0.7665079832, output_fired_time: 0.6339201331, propagate_forward_time: 31.3899822235, propagate_backward_time: 47.7136535645, weight_update_time: 0.1063012257, other_time: 2.2266540527
epoch time: 6.1235775948s, input_fired_time: 0.0959344134, output_fired_time: 0.0000000000, propagate_forward_time: 5.6335463524, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3940968513
validation[          , genome  4482] predictions:    9682/  10000 (96.82%), best:    9684/10000 (96.84%), error:      1121.02197, best error:      1072.42859 on epoch:    54, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 74.0094299316s, input_fired_time: 0.7506589293, output_fired_time: 0.6173835397, propagate_forward_time: 27.2520389557, propagate_backward_time: 43.2314300537, weight_update_time: 0.1028544083, other_time: 2.1579208374
epoch time: 5.8955764771s, input_fired_time: 0.0941469595, output_fired_time: 0.0000000000, propagate_forward_time: 5.4193673134, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3820624352
validation[          , genome  4482] predictions:    9691/  10000 (96.91%), best:    9684/10000 (96.84%), error:      1084.88989, best error:      1072.42859 on epoch:    54, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 73.6790924072s, input_fired_time: 0.7520787716, output_fired_time: 0.6138359308, propagate_forward_time: 27.2360191345, propagate_backward_time: 42.9356803894, weight_update_time: 0.1016715914, other_time: 2.1414794922
epoch time: 5.7505030632s, input_fired_time: 0.0920958593, output_fired_time: 0.0000000000, propagate_forward_time: 5.2767605782, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3816466331
validation[          , genome  4482] predictions:    9689/  10000 (96.89%), best:    9689/10000 (96.89%), error:      1058.18469, best error:      1058.18469 on epoch:    97, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 75.4053115845s, input_fired_time: 0.7594935298, output_fired_time: 0.6254716516, propagate_forward_time: 27.7864589691, propagate_backward_time: 44.0549240112, weight_update_time: 0.1039132327, other_time: 2.1789627075
epoch time: 5.7415208817s, input_fired_time: 0.0929590836, output_fired_time: 0.0000000000, propagate_forward_time: 5.2705597878, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3780021667
validation[          , genome  4482] predictions:    9672/  10000 (96.72%), best:    9689/10000 (96.89%), error:      1070.21680, best error:      1058.18469 on epoch:    97, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 73.3170242310s, input_fired_time: 0.7525489926, output_fired_time: 0.6147163510, propagate_forward_time: 27.0994930267, propagate_backward_time: 42.7133941650, weight_update_time: 0.1016614065, other_time: 2.1368713379
epoch time: 6.0190577507s, input_fired_time: 0.0953133404, output_fired_time: 0.0000000000, propagate_forward_time: 5.5347518921, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3889923096
validation[          , genome  4482] predictions:    9698/  10000 (96.98%), best:    9698/10000 (96.98%), error:      1052.64136, best error:      1052.64136 on epoch:    99, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 74.8098907471s, input_fired_time: 0.7611007094, output_fired_time: 0.6195605993, propagate_forward_time: 27.6802597046, propagate_backward_time: 43.5744209290, weight_update_time: 0.1040340811, other_time: 2.1745491028
epoch time: 6.0295090675s, input_fired_time: 0.0959298238, output_fired_time: 0.0000000000, propagate_forward_time: 5.5429573059, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3906221390
validation[          , genome  4482] predictions:    9686/  10000 (96.86%), best:    9698/10000 (96.98%), error:      1079.92896, best error:      1052.64136 on epoch:    99, 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: 30.7526531219s, input_fired_time: 0.4858508408, output_fired_time: 0.0000000000, propagate_forward_time: 28.2207603455, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0460414886
best training[          , genome  4482] predictions:   49290/  50000 (98.58%), best:    9698/10000 (96.98%), error:      2627.95215, best error:      1052.64136 on epoch:    99, 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: 5.7878289223s, input_fired_time: 0.0924639851, output_fired_time: 0.0000000000, propagate_forward_time: 5.3130073547, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3823575974
   testing[          , genome  4482] predictions:    9708/  10000 (97.08%), best:    9698/10000 (96.98%), error:       965.14172, best error:      1052.64136 on epoch:    99, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
01:05:33 (10660): called boinc_finish(0)

</stderr_txt>
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