Nameexact_genome_1512568488_44_4466_1
Workunit2593674
Created7 Dec 2017, 10:09:20 UTC
Sent7 Dec 2017, 10:12:48 UTC
Report deadline11 Dec 2017, 4:24:38 UTC
Received7 Dec 2017, 23:52:35 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time2 hours 39 min 59 sec
CPU time1 hours 51 min 21 sec
Validate stateValid
Credit939.55
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size153.92 MB
Peak swap size156.91 MB
Peak disk usage1.47 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
est error:      1281.35217 on epoch:    22, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 80.4937210083s, input_fired_time: 0.9353895783, output_fired_time: 1.0619152784, propagate_forward_time: 29.8785171509, propagate_backward_time: 45.5296516418, weight_update_time: 0.2028099298, other_time: 3.0882530212
epoch time: 5.7308740616s, input_fired_time: 0.1374068111, output_fired_time: 0.0000000000, propagate_forward_time: 5.1387939453, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4546732903
validation[          , genome  4466] predictions:    9585/  10000 (95.85%), best:    9644/10000 (96.44%), error:      1376.31555, best error:      1281.35217 on epoch:    22, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 80.7287826538s, input_fired_time: 0.9661209583, output_fired_time: 0.9921568632, propagate_forward_time: 30.0791015625, propagate_backward_time: 45.7667541504, weight_update_time: 0.1553166956, other_time: 2.9246520996
epoch time: 6.5435619354s, input_fired_time: 0.1398398727, output_fired_time: 0.0000000000, propagate_forward_time: 5.8632249832, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5404973030
validation[          , genome  4466] predictions:    9634/  10000 (96.34%), best:    9634/10000 (96.34%), error:      1236.68481, best error:      1236.68481 on epoch:    28, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 79.3035736084s, input_fired_time: 0.8511639833, output_fired_time: 0.8902127743, propagate_forward_time: 29.3059120178, propagate_backward_time: 45.3740882874, weight_update_time: 0.2015993744, other_time: 2.8821945190
epoch time: 5.5216536522s, input_fired_time: 0.0965888128, output_fired_time: 0.0000000000, propagate_forward_time: 4.8287005424, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5963644981
validation[          , genome  4466] predictions:    9588/  10000 (95.88%), best:    9634/10000 (96.34%), error:      1350.39880, best error:      1236.68481 on epoch:    28, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 73.9550170898s, input_fired_time: 0.8996422887, output_fired_time: 0.8400565386, propagate_forward_time: 26.9952983856, propagate_backward_time: 42.4387588501, weight_update_time: 0.1052167937, other_time: 2.7812576294
epoch time: 5.6419458389s, input_fired_time: 0.0980331749, output_fired_time: 0.0000000000, propagate_forward_time: 5.0420017242, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5019111633
validation[          , genome  4466] predictions:    9620/  10000 (96.20%), best:    9634/10000 (96.34%), error:      1268.33728, best error:      1236.68481 on epoch:    28, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 76.6849594116s, input_fired_time: 0.9680876136, output_fired_time: 0.8740531206, propagate_forward_time: 28.1140289307, propagate_backward_time: 44.0401535034, weight_update_time: 0.1656551361, other_time: 2.6886367798
epoch time: 6.0142078400s, input_fired_time: 0.0980321616, output_fired_time: 0.0000000000, propagate_forward_time: 5.3583345413, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5578413010
validation[          , genome  4466] predictions:    9548/  10000 (95.48%), best:    9634/10000 (96.34%), error:      1473.62122, best error:      1236.68481 on epoch:    28, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 73.7554244995s, input_fired_time: 1.1117711067, output_fired_time: 0.9063339233, propagate_forward_time: 27.0528259277, propagate_backward_time: 41.9221115112, weight_update_time: 0.1034298390, other_time: 2.7623825073
epoch time: 6.4363751411s, input_fired_time: 0.1148107573, output_fired_time: 0.0000000000, propagate_forward_time: 5.8655171394, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4560470581
validation[          , genome  4466] predictions:    9616/  10000 (96.16%), best:    9634/10000 (96.34%), error:      1281.54456, best error:      1236.68481 on epoch:    28, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 73.3009490967s, input_fired_time: 0.9053240418, output_fired_time: 0.7780266404, propagate_forward_time: 27.2759647369, propagate_backward_time: 41.5302810669, weight_update_time: 0.1348525882, other_time: 2.8113479614
epoch time: 7.2446098328s, input_fired_time: 0.1523631513, output_fired_time: 0.0000000000, propagate_forward_time: 6.4731311798, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6191153526
validation[          , genome  4466] predictions:    9627/  10000 (96.27%), best:    9627/10000 (96.27%), error:      1219.48120, best error:      1219.48120 on epoch:    33, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 66.1418609619s, input_fired_time: 0.8912335634, output_fired_time: 0.7169103622, propagate_forward_time: 24.2498683929, propagate_backward_time: 37.8883743286, weight_update_time: 0.1031026915, other_time: 2.3954696655
epoch time: 6.1218380928s, input_fired_time: 0.1169980764, output_fired_time: 0.0000000000, propagate_forward_time: 5.5720577240, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4327821732
validation[          , genome  4466] predictions:    9609/  10000 (96.09%), best:    9627/10000 (96.27%), error:      1289.12158, best error:      1219.48120 on epoch:    33, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 72.4442443848s, input_fired_time: 0.9566841125, output_fired_time: 0.8522660732, propagate_forward_time: 26.5706691742, propagate_backward_time: 41.3495407104, weight_update_time: 0.1477648467, other_time: 2.7150878906
epoch time: 5.5412616730s, input_fired_time: 0.1669104099, output_fired_time: 0.0000000000, propagate_forward_time: 4.9304037094, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4439477921
validation[          , genome  4466] predictions:    9550/  10000 (95.50%), best:    9627/10000 (96.27%), error:      1457.25061, best error:      1219.48120 on epoch:    33, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 82.9852294922s, input_fired_time: 1.0547467470, output_fired_time: 0.8344842196, propagate_forward_time: 30.7585296631, propagate_backward_time: 47.3132476807, weight_update_time: 0.1018687636, other_time: 3.0242156982
epoch time: 7.4158420563s, input_fired_time: 0.1045249626, output_fired_time: 0.0000000000, propagate_forward_time: 6.7392883301, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5720286369
validation[          , genome  4466] predictions:    9534/  10000 (95.34%), best:    9627/10000 (96.27%), error:      1490.00891, best error:      1219.48120 on epoch:    33, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 75.5593109131s, input_fired_time: 0.9065982699, output_fired_time: 0.8368277550, propagate_forward_time: 28.0992679596, propagate_backward_time: 42.9832382202, weight_update_time: 0.1230782792, other_time: 2.7333755493
epoch time: 6.9585981369s, input_fired_time: 0.2062982917, output_fired_time: 0.0000000000, propagate_forward_time: 6.2294969559, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5228028297
validation[          , genome  4466] predictions:    9586/  10000 (95.86%), best:    9627/10000 (96.27%), error:      1312.34167, best error:      1219.48120 on epoch:    33, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 77.5053100586s, input_fired_time: 1.0463861227, output_fired_time: 0.9344229102, propagate_forward_time: 28.6538066864, propagate_backward_time: 44.0112495422, weight_update_time: 0.1053725109, other_time: 2.8594398499
epoch time: 5.7993640900s, input_fired_time: 0.1108631641, output_fired_time: 0.0000000000, propagate_forward_time: 5.2203211784, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4681797028
validation[          , genome  4466] predictions:    9625/  10000 (96.25%), best:    9627/10000 (96.27%), error:      1293.54175, best error:      1219.48120 on epoch:    33, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 70.6947860718s, input_fired_time: 0.9017610550, output_fired_time: 0.8442611694, propagate_forward_time: 26.0237464905, propagate_backward_time: 40.1075057983, weight_update_time: 0.1818002164, other_time: 2.8175086975
epoch time: 5.4874620438s, input_fired_time: 0.1050687060, output_fired_time: 0.0000000000, propagate_forward_time: 4.9505867958, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4318065643
validation[          , genome  4466] predictions:    9644/  10000 (96.44%), best:    9644/10000 (96.44%), error:      1201.92993, best error:      1201.92993 on epoch:    39, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 71.9066238403s, input_fired_time: 0.8827706575, output_fired_time: 0.8509755731, propagate_forward_time: 26.7224655151, propagate_backward_time: 40.8730316162, weight_update_time: 0.1200924590, other_time: 2.5773773193
epoch time: 6.7084779739s, input_fired_time: 0.1260407269, output_fired_time: 0.0000000000, propagate_forward_time: 6.0576286316, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5248084068
validation[          , genome  4466] predictions:    9630/  10000 (96.30%), best:    9644/10000 (96.44%), error:      1272.99280, best error:      1201.92993 on epoch:    39, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 78.7643127441s, input_fired_time: 1.1111350060, output_fired_time: 0.6996233463, propagate_forward_time: 28.7571716309, propagate_backward_time: 45.3481483459, weight_update_time: 0.0998345613, other_time: 2.8482322693
epoch time: 6.1297979355s, input_fired_time: 0.1056216955, output_fired_time: 0.0000000000, propagate_forward_time: 5.4582781792, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5658979416
validation[          , genome  4466] predictions:    9563/  10000 (95.63%), best:    9644/10000 (96.44%), error:      1413.50977, best error:      1201.92993 on epoch:    39, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 80.2820587158s, input_fired_time: 0.9330124259, output_fired_time: 0.9454898834, propagate_forward_time: 29.8666801453, propagate_backward_time: 45.6714668274, weight_update_time: 0.1984818727, other_time: 2.8654098511
epoch time: 5.3691587448s, input_fired_time: 0.1066738740, output_fired_time: 0.0000000000, propagate_forward_time: 4.8257694244, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4367156029
validation[          , genome  4466] predictions:    9594/  10000 (95.94%), best:    9644/10000 (96.44%), error:      1365.19666, best error:      1201.92993 on epoch:    39, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 75.7733764648s, input_fired_time: 0.9574998617, output_fired_time: 0.8136166334, propagate_forward_time: 27.6507301331, propagate_backward_time: 43.5097846985, weight_update_time: 0.1667059362, other_time: 2.8417510986
epoch time: 5.4225630760s, input_fired_time: 0.1136894152, output_fired_time: 0.0000000000, propagate_forward_time: 4.8464384079, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4624352455
validation[          , genome  4466] predictions:    9629/  10000 (96.29%), best:    9644/10000 (96.44%), error:      1260.48108, best error:      1201.92993 on epoch:    39, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 69.9843902588s, input_fired_time: 0.9472488165, output_fired_time: 0.9367931485, propagate_forward_time: 25.7038516998, propagate_backward_time: 40.0255813599, weight_update_time: 0.1011289433, other_time: 2.3709182739
epoch time: 6.1658940315s, input_fired_time: 0.1047230810, output_fired_time: 0.0000000000, propagate_forward_time: 5.5394625664, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5217084885
validation[          , genome  4466] predictions:    9502/  10000 (95.02%), best:    9644/10000 (96.44%), error:      1590.21509, best error:      1201.92993 on epoch:    39, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 76.5389328003s, input_fired_time: 0.9652616978, output_fired_time: 0.8591596484, propagate_forward_time: 27.9201030731, propagate_backward_time: 43.9377250671, weight_update_time: 0.1463505477, other_time: 2.8566780090
epoch time: 5.5180988312s, input_fired_time: 0.0992845297, output_fired_time: 0.0000000000, propagate_forward_time: 4.8629193306, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5558948517
validation[          , genome  4466] predictions:    9492/  10000 (94.92%), best:    9644/10000 (96.44%), error:      1653.06226, best error:      1201.92993 on epoch:    39, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 133.4509277344s, input_fired_time: 1.8505610228, output_fired_time: 1.2001016140, propagate_forward_time: 49.2159156799, propagate_backward_time: 75.2400817871, weight_update_time: 0.2059889138, other_time: 5.9442749023
epoch time: 11.4834041595s, input_fired_time: 0.2226407379, output_fired_time: 0.0000000000, propagate_forward_time: 10.4128141403, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8479490280
validation[          , genome  4466] predictions:    9556/  10000 (95.56%), best:    9644/10000 (96.44%), error:      1433.05798, best error:      1201.92993 on epoch:    39, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 127.8348236084s, input_fired_time: 1.0451536179, output_fired_time: 1.5806878805, propagate_forward_time: 49.5092735291, propagate_backward_time: 71.6744537354, weight_update_time: 0.1127002537, other_time: 4.0252532959
epoch time: 13.8816318512s, input_fired_time: 0.1582768857, output_fired_time: 0.0000000000, propagate_forward_time: 11.9862432480, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7371120453
validation[          , genome  4466] predictions:    9656/  10000 (96.56%), best:    9656/10000 (96.56%), error:      1199.11060, best error:      1199.11060 on epoch:    47, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 172.1977539063s, input_fired_time: 1.7773497105, output_fired_time: 2.7206411362, propagate_forward_time: 63.9635353088, propagate_backward_time: 97.4758605957, weight_update_time: 0.4905909300, other_time: 6.2603759766
epoch time: 14.0591716766s, input_fired_time: 0.1738579422, output_fired_time: 0.0000000000, propagate_forward_time: 12.5331907272, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3521232605
validation[          , genome  4466] predictions:    9554/  10000 (95.54%), best:    9656/10000 (96.56%), error:      1434.41479, best error:      1199.11060 on epoch:    47, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

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_4466.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4466_1_r225930133_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: 0.950313
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00101243
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.04973e-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: 49
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 47
read number_validation_images: 10000
read best_validation_predictions: 9656
read best_validation_error: 1199.11
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: 4466
read normal distribution: '1 2.13447833061218 0.849225163459778'
generator_str: '618145829'
read generator: 618145829
read generated_by_map:
1 change_size_y 1
reading 15 nodes.
reading 23 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: 61.698371887207s, input_fired_time: 0.945198178291321, output_fired_time: 1.05632984638214, propagate_forward_time: 22.2454204559326, propagate_backward_time: 35.3626708984375, weight_update_time: 0.081338994204998, other_time: 2.08875274658203
epoch time: 4.1623010635376s, input_fired_time: 0.0752657204866409, output_fired_time: 0, propagate_forward_time: 3.79879069328308, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.288244485855103
validation[          , genome  4466] predictions:    9611/  10000 (96.11%), best:    9656/10000 (96.56%), error:      1322.87146, best error:      1199.11060 on epoch:    47, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 62.5546798706s, input_fired_time: 0.6922216415, output_fired_time: 0.5540110469, propagate_forward_time: 20.4444561005, propagate_backward_time: 38.7901458740, weight_update_time: 0.0807122737, other_time: 2.0738449097
epoch time: 3.7005960941s, input_fired_time: 0.0718987137, output_fired_time: 0.0000000000, propagate_forward_time: 3.3542051315, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2744922638
validation[          , genome  4466] predictions:    9628/  10000 (96.28%), best:    9656/10000 (96.56%), error:      1268.66650, best error:      1199.11060 on epoch:    47, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 64.6012191772s, input_fired_time: 0.9572322965, output_fired_time: 0.5750265121, propagate_forward_time: 25.1642227173, propagate_backward_time: 35.2832069397, weight_update_time: 0.0837014243, other_time: 2.6215286255
epoch time: 4.9106197357s, input_fired_time: 0.0788697451, output_fired_time: 0.0000000000, propagate_forward_time: 4.5148611069, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3168888092
validation[          , genome  4466] predictions:    9623/  10000 (96.23%), best:    9656/10000 (96.56%), error:      1247.50122, best error:      1199.11060 on epoch:    47, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 62.9205780029s, input_fired_time: 1.1939331293, output_fired_time: 0.5575708747, propagate_forward_time: 24.5981559753, propagate_backward_time: 34.2393226624, weight_update_time: 0.0811919793, other_time: 2.3315963745
epoch time: 5.5060000420s, input_fired_time: 0.0865074247, output_fired_time: 0.0000000000, propagate_forward_time: 4.5773744583, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8421182632
validation[          , genome  4466] predictions:    9593/  10000 (95.93%), best:    9656/10000 (96.56%), error:      1322.18726, best error:      1199.11060 on epoch:    47, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 68.1190795898s, input_fired_time: 0.7287802100, output_fired_time: 1.3499219418, propagate_forward_time: 26.4279899597, propagate_backward_time: 37.4183959961, weight_update_time: 0.3370665908, other_time: 2.1939888000
epoch time: 4.9139714241s, input_fired_time: 0.0819930211, output_fired_time: 0.0000000000, propagate_forward_time: 4.5141782761, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3178000450
validation[          , genome  4466] predictions:    9553/  10000 (95.53%), best:    9656/10000 (96.56%), error:      1544.06140, best error:      1199.11060 on epoch:    47, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 67.2846221924s, input_fired_time: 0.7220133543, output_fired_time: 0.5926564336, propagate_forward_time: 22.6864032745, propagate_backward_time: 40.8552017212, weight_update_time: 0.0862040892, other_time: 2.4283447266
epoch time: 6.5714039803s, input_fired_time: 0.3496229947, output_fired_time: 0.0000000000, propagate_forward_time: 5.8326745033, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3891062737
validation[          , genome  4466] predictions:    9510/  10000 (95.10%), best:    9656/10000 (96.56%), error:      1599.64612, best error:      1199.11060 on epoch:    47, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 63.2162094116s, input_fired_time: 1.1979521513, output_fired_time: 1.0614116192, propagate_forward_time: 22.6950244904, propagate_backward_time: 35.9265480042, weight_update_time: 0.0818100348, other_time: 2.3352699280
epoch time: 5.8536949158s, input_fired_time: 0.0922204554, output_fired_time: 0.0000000000, propagate_forward_time: 5.4017944336, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3596801758
validation[          , genome  4466] predictions:    9617/  10000 (96.17%), best:    9656/10000 (96.56%), error:      1267.34338, best error:      1199.11060 on epoch:    47, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 65.1291351318s, input_fired_time: 0.7106637955, output_fired_time: 0.8259718418, propagate_forward_time: 23.7748165131, propagate_backward_time: 37.4365921021, weight_update_time: 0.0839661509, other_time: 2.3810882568
epoch time: 4.0779280663s, input_fired_time: 0.0727071911, output_fired_time: 0.0000000000, propagate_forward_time: 3.4740028381, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5312180519
validation[          , genome  4466] predictions:    9562/  10000 (95.62%), best:    9656/10000 (96.56%), error:      1419.21716, best error:      1199.11060 on epoch:    47, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 66.0926284790s, input_fired_time: 1.4696418047, output_fired_time: 0.5834747553, propagate_forward_time: 23.0648574829, propagate_backward_time: 38.5559616089, weight_update_time: 0.0853147283, other_time: 2.4186935425
epoch time: 5.1279935837s, input_fired_time: 0.0859252661, output_fired_time: 0.0000000000, propagate_forward_time: 4.7064704895, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3355979919
validation[          , genome  4466] predictions:    9563/  10000 (95.63%), best:    9656/10000 (96.56%), error:      1389.20642, best error:      1199.11060 on epoch:    47, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 64.3916397095s, input_fired_time: 0.9601392150, output_fired_time: 1.0694392920, propagate_forward_time: 23.3356800079, propagate_backward_time: 36.3896522522, weight_update_time: 0.0835918486, other_time: 2.6367301941
epoch time: 3.9426884651s, input_fired_time: 0.0720047131, output_fired_time: 0.0000000000, propagate_forward_time: 3.5985434055, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2721402645
validation[          , genome  4466] predictions:    9603/  10000 (96.03%), best:    9656/10000 (96.56%), error:      1333.72595, best error:      1199.11060 on epoch:    47, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 72.4979324341s, input_fired_time: 0.7555990219, output_fired_time: 0.6332439780, propagate_forward_time: 28.1850166321, propagate_backward_time: 40.3946151733, weight_update_time: 0.0916784406, other_time: 2.5294532776
epoch time: 4.4887285233s, input_fired_time: 0.0799787566, output_fired_time: 0.0000000000, propagate_forward_time: 4.1009936333, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3077559471
validation[          , genome  4466] predictions:    9562/  10000 (95.62%), best:    9656/10000 (96.56%), error:      1394.46008, best error:      1199.11060 on epoch:    47, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 76.3782653809s, input_fired_time: 0.7794631720, output_fired_time: 0.6681670547, propagate_forward_time: 29.9316711426, propagate_backward_time: 41.6358985901, weight_update_time: 0.0961969942, other_time: 3.3630638123
epoch time: 6.6033544540s, input_fired_time: 0.0998294353, output_fired_time: 0.0000000000, propagate_forward_time: 6.1132082939, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3903164864
validation[          , genome  4466] predictions:    9599/  10000 (95.99%), best:    9656/10000 (96.56%), error:      1355.22388, best error:      1199.11060 on epoch:    47, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 75.1280212402s, input_fired_time: 1.2721431255, output_fired_time: 0.6564665437, propagate_forward_time: 27.5516605377, propagate_backward_time: 43.0603981018, weight_update_time: 0.0943675786, other_time: 2.5873603821
epoch time: 6.3136014938s, input_fired_time: 0.1001356319, output_fired_time: 0.0000000000, propagate_forward_time: 5.5753188133, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6381468773
validation[          , genome  4466] predictions:    9587/  10000 (95.87%), best:    9656/10000 (96.56%), error:      1377.22925, best error:      1199.11060 on epoch:    47, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 57.7595558167s, input_fired_time: 0.9677661657, output_fired_time: 0.5802988410, propagate_forward_time: 21.1730937958, propagate_backward_time: 33.1565704346, weight_update_time: 0.0843138993, other_time: 1.8818283081
epoch time: 4.4509358406s, input_fired_time: 0.0939602777, output_fired_time: 0.0000000000, propagate_forward_time: 3.9925432205, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3644323349
validation[          , genome  4466] predictions:    9616/  10000 (96.16%), best:    9656/10000 (96.56%), error:      1283.37610, best error:      1199.11060 on epoch:    47, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 43.6920623779s, input_fired_time: 0.6730638742, output_fired_time: 0.5212122202, propagate_forward_time: 15.4706516266, propagate_backward_time: 25.3115386963, weight_update_time: 0.0760570616, other_time: 1.7155933380
epoch time: 3.3045971394s, input_fired_time: 0.0771627128, output_fired_time: 0.0000000000, propagate_forward_time: 2.9350264072, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2924079895
validation[          , genome  4466] predictions:    9583/  10000 (95.83%), best:    9656/10000 (96.56%), error:      1385.36047, best error:      1199.11060 on epoch:    47, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 43.5104446411s, input_fired_time: 0.6711128354, output_fired_time: 0.5179629922, propagate_forward_time: 15.3948545456, propagate_backward_time: 25.2228431702, weight_update_time: 0.0756792426, other_time: 1.7036705017
epoch time: 3.4075894356s, input_fired_time: 0.0796526298, output_fired_time: 0.0000000000, propagate_forward_time: 3.0275726318, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3003642559
validation[          , genome  4466] predictions:    9620/  10000 (96.20%), best:    9656/10000 (96.56%), error:      1293.54126, best error:      1199.11060 on epoch:    47, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 47.6934890747s, input_fired_time: 0.7042474747, output_fired_time: 0.5622895956, propagate_forward_time: 17.0727806091, propagate_backward_time: 27.5328502655, weight_update_time: 0.0816169903, other_time: 1.8213214874
epoch time: 3.8960595131s, input_fired_time: 0.0864086077, output_fired_time: 0.0000000000, propagate_forward_time: 3.4803121090, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3293387890
validation[          , genome  4466] predictions:    9638/  10000 (96.38%), best:    9656/10000 (96.56%), error:      1247.84668, best error:      1199.11060 on epoch:    47, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 49.1892395020s, input_fired_time: 0.7191163898, output_fired_time: 0.5805140734, propagate_forward_time: 17.6540107727, propagate_backward_time: 28.3751201630, weight_update_time: 0.0840162784, other_time: 1.8604793549
epoch time: 4.0587792397s, input_fired_time: 0.0899337828, output_fired_time: 0.0000000000, propagate_forward_time: 3.6290614605, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3397839069
validation[          , genome  4466] predictions:    9638/  10000 (96.38%), best:    9656/10000 (96.56%), error:      1258.36609, best error:      1199.11060 on epoch:    47, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 47.1341133118s, input_fired_time: 0.7026405334, output_fired_time: 0.5577614307, propagate_forward_time: 16.8490543365, propagate_backward_time: 27.2198371887, weight_update_time: 0.0812048316, other_time: 1.8048191071
epoch time: 3.1295509338s, input_fired_time: 0.0754858628, output_fired_time: 0.0000000000, propagate_forward_time: 2.7722048759, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2818601131
validation[          , genome  4466] predictions:    9565/  10000 (95.65%), best:    9656/10000 (96.56%), error:      1459.18774, best error:      1199.11060 on epoch:    47, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 50.2184371948s, input_fired_time: 0.7249152660, output_fired_time: 0.5888206363, propagate_forward_time: 18.0857086182, propagate_backward_time: 28.9301605225, weight_update_time: 0.0856198296, other_time: 1.8888320923
epoch time: 4.1157317162s, input_fired_time: 0.0897182673, output_fired_time: 0.0000000000, propagate_forward_time: 3.6836638451, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3423495293
validation[          , genome  4466] predictions:    9640/  10000 (96.40%), best:    9656/10000 (96.56%), error:      1234.04077, best error:      1199.11060 on epoch:    47, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 46.9533615112s, input_fired_time: 0.6999364495, output_fired_time: 0.5559476614, propagate_forward_time: 16.7849979401, propagate_backward_time: 27.1175231934, weight_update_time: 0.0807240829, other_time: 1.7949581146
epoch time: 4.3769707680s, input_fired_time: 0.0929280594, output_fired_time: 0.0000000000, propagate_forward_time: 3.9249656200, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3590772152
validation[          , genome  4466] predictions:    9630/  10000 (96.30%), best:    9656/10000 (96.56%), error:      1237.20117, best error:      1199.11060 on epoch:    47, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 51.3507308960s, input_fired_time: 0.7360664606, output_fired_time: 0.6043118834, propagate_forward_time: 18.5491390228, propagate_backward_time: 29.5414352417, weight_update_time: 0.0871856287, other_time: 1.9197788239
epoch time: 3.9134457111s, input_fired_time: 0.0870977789, output_fired_time: 0.0000000000, propagate_forward_time: 3.4961373806, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3302104473
validation[          , genome  4466] predictions:    9589/  10000 (95.89%), best:    9656/10000 (96.56%), error:      1402.46143, best error:      1199.11060 on epoch:    47, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 43.0436897278s, input_fired_time: 0.6690404415, output_fired_time: 0.5160525441, propagate_forward_time: 15.1778850555, propagate_backward_time: 24.9912738800, weight_update_time: 0.0752306730, other_time: 1.6894378662
epoch time: 3.7688260078s, input_fired_time: 0.0849345326, output_fired_time: 0.0000000000, propagate_forward_time: 3.3622364998, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3216550350
validation[          , genome  4466] predictions:    9638/  10000 (96.38%), best:    9656/10000 (96.56%), error:      1255.36707, best error:      1199.11060 on epoch:    47, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 39.5746879578s, input_fired_time: 0.6390132904, output_fired_time: 0.4770234823, propagate_forward_time: 13.7950592041, propagate_backward_time: 23.0665779114, weight_update_time: 0.0701853186, other_time: 1.5970153809
epoch time: 2.9600312710s, input_fired_time: 0.0727322400, output_fired_time: 0.0000000000, propagate_forward_time: 2.6143009663, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2729980946
validation[          , genome  4466] predictions:    9568/  10000 (95.68%), best:    9656/10000 (96.56%), error:      1517.55859, best error:      1199.11060 on epoch:    47, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 39.5406875610s, input_fired_time: 0.6418035030, output_fired_time: 0.4772421122, propagate_forward_time: 13.7791194916, propagate_backward_time: 23.0482673645, weight_update_time: 0.0701648891, other_time: 1.5942554474
epoch time: 2.9481759071s, input_fired_time: 0.0727317482, output_fired_time: 0.0000000000, propagate_forward_time: 2.6037719250, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2716722488
validation[          , genome  4466] predictions:    9629/  10000 (96.29%), best:    9656/10000 (96.56%), error:      1265.29553, best error:      1199.11060 on epoch:    47, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 47.2504348755s, input_fired_time: 0.7018731236, output_fired_time: 0.5588132143, propagate_forward_time: 16.8771514893, propagate_backward_time: 27.3088493347, weight_update_time: 0.0811423212, other_time: 1.8037452698
epoch time: 4.4534506798s, input_fired_time: 0.0952275023, output_fired_time: 0.0000000000, propagate_forward_time: 3.9947712421, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3634517193
validation[          , genome  4466] predictions:    9649/  10000 (96.49%), best:    9649/10000 (96.49%), error:      1170.38733, best error:      1170.38733 on epoch:    74, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

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_4466.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4466_1_r225930133_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: 0.979542
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000266796
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.06719e-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: 75
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 74
read number_validation_images: 10000
read best_validation_predictions: 9649
read best_validation_error: 1170.39
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: 4466
read normal distribution: '1 2.13447833061218 0.849225163459778'
generator_str: '501954654'
read generator: 501954654
read generated_by_map:
1 change_size_y 1
reading 15 nodes.
reading 23 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: 68.8621520996094s, input_fired_time: 0.97530734539032, output_fired_time: 0.844337522983551, propagate_forward_time: 25.0952415466309, propagate_backward_time: 39.2614440917969, weight_update_time: 0.145919933915138, other_time: 2.68582534790039
epoch time: 5.21041250228882s, input_fired_time: 0.10250760614872, output_fired_time: 0, propagate_forward_time: 4.64494180679321, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.462963104248047
validation[          , genome  4466] predictions:    9619/  10000 (96.19%), best:    9649/10000 (96.49%), error:      1312.07349, best error:      1170.38733 on epoch:    74, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 66.9741363525s, input_fired_time: 0.9372830391, output_fired_time: 0.7146870494, propagate_forward_time: 24.4257450104, propagate_backward_time: 38.3750648499, weight_update_time: 0.1005247384, other_time: 2.5213584900
epoch time: 5.4661822319s, input_fired_time: 0.1028245091, output_fired_time: 0.0000000000, propagate_forward_time: 4.9186272621, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4447302818
validation[          , genome  4466] predictions:    9604/  10000 (96.04%), best:    9649/10000 (96.49%), error:      1304.17114, best error:      1170.38733 on epoch:    74, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 68.4458694458s, input_fired_time: 0.8831453323, output_fired_time: 0.8753550053, propagate_forward_time: 25.3216075897, propagate_backward_time: 38.8915405273, weight_update_time: 0.0991432890, other_time: 2.4742126465
epoch time: 5.5364007950s, input_fired_time: 0.1068576053, output_fired_time: 0.0000000000, propagate_forward_time: 4.9504737854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4790692329
validation[          , genome  4466] predictions:    9583/  10000 (95.83%), best:    9649/10000 (96.49%), error:      1404.69006, best error:      1170.38733 on epoch:    74, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 63.4978866577s, input_fired_time: 0.8875127435, output_fired_time: 0.7102622986, propagate_forward_time: 23.4922084808, propagate_backward_time: 36.0297508240, weight_update_time: 0.1160580888, other_time: 2.3781547546
epoch time: 5.7362079620s, input_fired_time: 0.1052785814, output_fired_time: 0.0000000000, propagate_forward_time: 5.1469440460, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4839854240
validation[          , genome  4466] predictions:    9615/  10000 (96.15%), best:    9649/10000 (96.49%), error:      1232.04956, best error:      1170.38733 on epoch:    74, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 68.6286773682s, input_fired_time: 0.9462835789, output_fired_time: 0.7096825838, propagate_forward_time: 25.0723209381, propagate_backward_time: 39.2750091553, weight_update_time: 0.1002978981, other_time: 2.6253814697
epoch time: 5.5228657722s, input_fired_time: 0.1019361764, output_fired_time: 0.0000000000, propagate_forward_time: 4.9615907669, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4593386650
validation[          , genome  4466] predictions:    9632/  10000 (96.32%), best:    9649/10000 (96.49%), error:      1226.58325, best error:      1170.38733 on epoch:    74, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 68.4220275879s, input_fired_time: 0.9238620400, output_fired_time: 0.8597759604, propagate_forward_time: 25.1935195923, propagate_backward_time: 38.8709106445, weight_update_time: 0.1005717516, other_time: 2.5739593506
epoch time: 5.6898069382s, input_fired_time: 0.1230289415, output_fired_time: 0.0000000000, propagate_forward_time: 5.1115927696, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4551854134
validation[          , genome  4466] predictions:    9646/  10000 (96.46%), best:    9649/10000 (96.49%), error:      1215.21851, best error:      1170.38733 on epoch:    74, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 68.6886672974s, input_fired_time: 0.8371362090, output_fired_time: 0.8216219544, propagate_forward_time: 25.2046089172, propagate_backward_time: 39.2297744751, weight_update_time: 0.1388467550, other_time: 2.5955238342
epoch time: 6.1298170090s, input_fired_time: 0.1296922565, output_fired_time: 0.0000000000, propagate_forward_time: 5.3866457939, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6134791374
validation[          , genome  4466] predictions:    9619/  10000 (96.19%), best:    9649/10000 (96.49%), error:      1281.13000, best error:      1170.38733 on epoch:    74, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 71.5241165161s, input_fired_time: 1.0220018625, output_fired_time: 0.7554953098, propagate_forward_time: 26.3325462341, propagate_backward_time: 40.7299156189, weight_update_time: 0.1341807842, other_time: 2.6841583252
epoch time: 6.5548820496s, input_fired_time: 0.1062412113, output_fired_time: 0.0000000000, propagate_forward_time: 5.7748885155, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6737523079
validation[          , genome  4466] predictions:    9546/  10000 (95.46%), best:    9649/10000 (96.49%), error:      1551.52917, best error:      1170.38733 on epoch:    74, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 70.3523406982s, input_fired_time: 0.9455371499, output_fired_time: 0.7906906009, propagate_forward_time: 25.6492424011, propagate_backward_time: 40.3367614746, weight_update_time: 0.1027820930, other_time: 2.6301155090
epoch time: 5.7908530235s, input_fired_time: 0.1308381706, output_fired_time: 0.0000000000, propagate_forward_time: 5.1595134735, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5005011559
validation[          , genome  4466] predictions:    9444/  10000 (94.44%), best:    9649/10000 (96.49%), error:      1985.34558, best error:      1170.38733 on epoch:    74, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 67.6641159058s, input_fired_time: 0.8988999128, output_fired_time: 0.7423455715, propagate_forward_time: 24.7380237579, propagate_backward_time: 38.7742919922, weight_update_time: 0.1021113768, other_time: 2.5105514526
epoch time: 5.8864469528s, input_fired_time: 0.1026463360, output_fired_time: 0.0000000000, propagate_forward_time: 5.2571239471, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5266766548
validation[          , genome  4466] predictions:    9587/  10000 (95.87%), best:    9649/10000 (96.49%), error:      1351.43738, best error:      1170.38733 on epoch:    74, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 98.9251327515s, input_fired_time: 1.1273137331, output_fired_time: 1.0402814150, propagate_forward_time: 36.8820381165, propagate_backward_time: 56.6932945251, weight_update_time: 0.1374672353, other_time: 3.1822052002
epoch time: 12.7057094574s, input_fired_time: 0.1467539370, output_fired_time: 0.0000000000, propagate_forward_time: 11.7976417542, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7613134384
validation[          , genome  4466] predictions:    9610/  10000 (96.10%), best:    9649/10000 (96.49%), error:      1289.04053, best error:      1170.38733 on epoch:    74, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 149.1335449219s, input_fired_time: 2.7496578693, output_fired_time: 1.9565953016, propagate_forward_time: 58.2832984924, propagate_backward_time: 79.9318389893, weight_update_time: 0.1282294840, other_time: 6.2121582031
epoch time: 12.3832864761s, input_fired_time: 0.2072352767, output_fired_time: 0.0000000000, propagate_forward_time: 10.5869398117, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5891113281
validation[          , genome  4466] predictions:    9640/  10000 (96.40%), best:    9649/10000 (96.49%), error:      1211.53967, best error:      1170.38733 on epoch:    74, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 147.7667999268s, input_fired_time: 2.3658404350, output_fired_time: 2.3167707920, propagate_forward_time: 56.0445480347, propagate_backward_time: 82.1773910522, weight_update_time: 0.1592521220, other_time: 4.8622436523
epoch time: 11.6129512787s, input_fired_time: 0.2398461699, output_fired_time: 0.0000000000, propagate_forward_time: 10.5507402420, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8223648071
validation[          , genome  4466] predictions:    9651/  10000 (96.51%), best:    9649/10000 (96.49%), error:      1209.63867, best error:      1170.38733 on epoch:    74, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 123.1072311401s, input_fired_time: 1.1811273098, output_fired_time: 1.8260942698, propagate_forward_time: 44.1568374634, propagate_backward_time: 71.5084915161, weight_update_time: 0.1591533124, other_time: 4.4346771240
epoch time: 10.2687740326s, input_fired_time: 0.1146370992, output_fired_time: 0.0000000000, propagate_forward_time: 9.2224273682, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9317092896
validation[          , genome  4466] predictions:    9529/  10000 (95.29%), best:    9649/10000 (96.49%), error:      1636.36072, best error:      1170.38733 on epoch:    74, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 124.5311508179s, input_fired_time: 1.2432873249, output_fired_time: 1.2409036160, propagate_forward_time: 48.8871116638, propagate_backward_time: 68.7974014282, weight_update_time: 0.1751078218, other_time: 4.3624496460
epoch time: 9.2627525330s, input_fired_time: 0.1614348292, output_fired_time: 0.0000000000, propagate_forward_time: 8.5273790359, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5739383698
validation[          , genome  4466] predictions:    9597/  10000 (95.97%), best:    9649/10000 (96.49%), error:      1290.64453, best error:      1170.38733 on epoch:    74, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 119.6630249023s, input_fired_time: 1.5672791004, output_fired_time: 0.9878852963, propagate_forward_time: 45.9125785828, propagate_backward_time: 66.4295196533, weight_update_time: 0.1593415737, other_time: 4.7657623291
epoch time: 8.5118112564s, input_fired_time: 0.3794207573, output_fired_time: 0.0000000000, propagate_forward_time: 7.3718910217, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7604999542
validation[          , genome  4466] predictions:    9617/  10000 (96.17%), best:    9649/10000 (96.49%), error:      1285.31543, best error:      1170.38733 on epoch:    74, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 107.9984436035s, input_fired_time: 1.5879896879, output_fired_time: 0.8036909103, propagate_forward_time: 36.7884178162, propagate_backward_time: 65.5126953125, weight_update_time: 0.1283918172, other_time: 3.3056488037
epoch time: 8.2204093933s, input_fired_time: 0.1613273472, output_fired_time: 0.0000000000, propagate_forward_time: 7.5310678482, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5280141830
validation[          , genome  4466] predictions:    9633/  10000 (96.33%), best:    9649/10000 (96.49%), error:      1203.69910, best error:      1170.38733 on epoch:    74, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 108.0099716187s, input_fired_time: 1.2899894714, output_fired_time: 1.4428237677, propagate_forward_time: 40.9830703735, propagate_backward_time: 60.0583801270, weight_update_time: 0.1284731627, other_time: 4.2357101440
epoch time: 9.0106735229s, input_fired_time: 0.3965711296, output_fired_time: 0.0000000000, propagate_forward_time: 8.0888376236, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5252647400
validation[          , genome  4466] predictions:    9633/  10000 (96.33%), best:    9649/10000 (96.49%), error:      1242.30981, best error:      1170.38733 on epoch:    74, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 103.6567535400s, input_fired_time: 1.0567610264, output_fired_time: 0.9108428955, propagate_forward_time: 40.4852600098, propagate_backward_time: 56.8633079529, weight_update_time: 0.3937906921, other_time: 4.3405799866
epoch time: 8.2379598618s, input_fired_time: 0.1619125456, output_fired_time: 0.0000000000, propagate_forward_time: 7.0806741714, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9953727722
validation[          , genome  4466] predictions:    9640/  10000 (96.40%), best:    9649/10000 (96.49%), error:      1253.12891, best error:      1170.38733 on epoch:    74, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 102.4332122803s, input_fired_time: 1.5756703615, output_fired_time: 0.8786024451, propagate_forward_time: 38.2151870728, propagate_backward_time: 58.4631652832, weight_update_time: 0.1282689720, other_time: 3.3005905151
epoch time: 7.9318356514s, input_fired_time: 0.1082292944, output_fired_time: 0.0000000000, propagate_forward_time: 7.3615050316, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4621014595
validation[          , genome  4466] predictions:    9446/  10000 (94.46%), best:    9649/10000 (96.49%), error:      1810.92847, best error:      1170.38733 on epoch:    74, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 98.4749908447s, input_fired_time: 1.1802459955, output_fired_time: 1.5692421198, propagate_forward_time: 33.9231948853, propagate_backward_time: 58.4533386230, weight_update_time: 0.1125501990, other_time: 3.3489685059
epoch time: 8.0838098526s, input_fired_time: 0.3587723970, output_fired_time: 0.0000000000, propagate_forward_time: 7.2487182617, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4763193130
validation[          , genome  4466] predictions:    9595/  10000 (95.95%), best:    9649/10000 (96.49%), error:      1348.10547, best error:      1170.38733 on epoch:    74, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 99.1682891846s, input_fired_time: 1.4865502119, output_fired_time: 1.1757948399, propagate_forward_time: 36.1012611389, propagate_backward_time: 56.9324798584, weight_update_time: 0.1122414321, other_time: 3.4722023010
epoch time: 7.8732004166s, input_fired_time: 0.3745622635, output_fired_time: 0.0000000000, propagate_forward_time: 6.7861695290, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7124686241
validation[          , genome  4466] predictions:    9647/  10000 (96.47%), best:    9649/10000 (96.49%), error:      1233.51965, best error:      1170.38733 on epoch:    74, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 94.4510650635s, input_fired_time: 0.8558228612, output_fired_time: 1.6132905483, propagate_forward_time: 33.5503692627, propagate_backward_time: 55.1349830627, weight_update_time: 0.1125322357, other_time: 3.2966041565
epoch time: 7.8979573250s, input_fired_time: 0.1259197742, output_fired_time: 0.0000000000, propagate_forward_time: 7.0594444275, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7125930786
validation[          , genome  4466] predictions:    9641/  10000 (96.41%), best:    9649/10000 (96.49%), error:      1246.05286, best error:      1170.38733 on epoch:    74, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 70.7052841187s, input_fired_time: 1.3409674168, output_fired_time: 0.7327632308, propagate_forward_time: 26.6709480286, propagate_backward_time: 39.5041046143, weight_update_time: 0.1053488329, other_time: 2.4565010071
epoch time: 4.8842225075s, input_fired_time: 0.1296241879, output_fired_time: 0.0000000000, propagate_forward_time: 4.3083453178, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4462528229
validation[          , genome  4466] predictions:    9638/  10000 (96.38%), best:    9649/10000 (96.49%), error:      1244.40735, best error:      1170.38733 on epoch:    74, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 62.9293251038s, input_fired_time: 0.8043975234, output_fired_time: 0.6935645342, propagate_forward_time: 22.8598594666, propagate_backward_time: 36.1698875427, weight_update_time: 0.1470131278, other_time: 2.4016151428
epoch time: 6.3453431129s, input_fired_time: 0.1138444990, output_fired_time: 0.0000000000, propagate_forward_time: 5.7537441254, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4777545929
validation[          , genome  4466] predictions:    9646/  10000 (96.46%), best:    9649/10000 (96.49%), error:      1218.87939, best error:      1170.38733 on epoch:    74, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 63.1777687073s, input_fired_time: 0.8432624340, output_fired_time: 0.6984189153, propagate_forward_time: 23.0486030579, propagate_backward_time: 36.2503967285, weight_update_time: 0.1008497924, other_time: 2.3370895386
epoch time: 5.5643858910s, input_fired_time: 0.1052468270, output_fired_time: 0.0000000000, propagate_forward_time: 5.0199356079, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4392032623
validation[          , genome  4466] predictions:    9608/  10000 (96.08%), best:    9649/10000 (96.49%), error:      1273.92175, best error:      1170.38733 on epoch:    74, 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: 25.1502666473s, input_fired_time: 0.5044371486, output_fired_time: 0.0000000000, propagate_forward_time: 22.5198574066, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1259727478
best training[          , genome  4466] predictions:   49028/  50000 (98.06%), best:    9649/10000 (96.49%), error:      3557.73486, best error:      1170.38733 on epoch:    74, 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: 4.8950643539s, input_fired_time: 0.1011778489, output_fired_time: 0.0000000000, propagate_forward_time: 4.3827481270, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4111385345
   testing[          , genome  4466] predictions:    9685/  10000 (96.85%), best:    9649/10000 (96.49%), error:      1110.26929, best error:      1170.38733 on epoch:    74, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
00:16:35 (10980): called boinc_finish(0)

</stderr_txt>
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