Nameexact_genome_1512568488_44_4463_1
Workunit2593671
Created7 Dec 2017, 10:09:20 UTC
Sent7 Dec 2017, 10:12:48 UTC
Report deadline12 Dec 2017, 4:31:49 UTC
Received7 Dec 2017, 23:52:35 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time3 hours 6 min 43 sec
CPU time2 hours 18 min 55 sec
Validate stateValid
Credit1,190.80
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size153.91 MB
Peak swap size156.88 MB
Peak disk usage1.58 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
, best:    9620/10000 (96.20%), error:      1312.36023, best error:      1275.14209 on epoch:    25, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 90.2167816162s, input_fired_time: 0.9266058207, output_fired_time: 0.9340538383, propagate_forward_time: 33.4183425903, propagate_backward_time: 52.1700096130, weight_update_time: 0.1562250406, other_time: 2.7677726746
epoch time: 7.1629643440s, input_fired_time: 0.1323148906, output_fired_time: 0.0000000000, propagate_forward_time: 6.5631051064, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4675445557
validation[          , genome  4463] predictions:    9603/  10000 (96.03%), best:    9620/10000 (96.20%), error:      1325.74207, best error:      1275.14209 on epoch:    25, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 90.2245330811s, input_fired_time: 0.8748633862, output_fired_time: 0.6892269254, propagate_forward_time: 33.2108726501, propagate_backward_time: 52.5104637146, weight_update_time: 0.1092253327, other_time: 2.9391098022
epoch time: 7.2018799782s, input_fired_time: 0.1271481663, output_fired_time: 0.0000000000, propagate_forward_time: 6.5988836288, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4758481979
validation[          , genome  4463] predictions:    9590/  10000 (95.90%), best:    9620/10000 (96.20%), error:      1337.76428, best error:      1275.14209 on epoch:    25, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 91.9717636108s, input_fired_time: 0.9178947210, output_fired_time: 0.7197514176, propagate_forward_time: 34.5649490356, propagate_backward_time: 52.9171943665, weight_update_time: 0.1106876209, other_time: 2.8519783020
epoch time: 7.7609577179s, input_fired_time: 0.0990484804, output_fired_time: 0.0000000000, propagate_forward_time: 7.0286879539, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6332211494
validation[          , genome  4463] predictions:    9574/  10000 (95.74%), best:    9620/10000 (96.20%), error:      1365.07764, best error:      1275.14209 on epoch:    25, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 86.5953369141s, input_fired_time: 0.8519724011, output_fired_time: 0.7406781912, propagate_forward_time: 32.6206970215, propagate_backward_time: 49.7598114014, weight_update_time: 0.1102421805, other_time: 2.6221771240
epoch time: 7.0890974998s, input_fired_time: 0.1023704633, output_fired_time: 0.0000000000, propagate_forward_time: 6.4765839577, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5101432800
validation[          , genome  4463] predictions:    9353/  10000 (93.53%), best:    9620/10000 (96.20%), error:      2106.15845, best error:      1275.14209 on epoch:    25, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 91.5991439819s, input_fired_time: 0.8538870215, output_fired_time: 0.8441318870, propagate_forward_time: 34.3021354675, propagate_backward_time: 52.9151763916, weight_update_time: 0.1422299594, other_time: 2.6838111877
epoch time: 7.0233263969s, input_fired_time: 0.1042162329, output_fired_time: 0.0000000000, propagate_forward_time: 6.4554677010, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4636425972
validation[          , genome  4463] predictions:    9590/  10000 (95.90%), best:    9620/10000 (96.20%), error:      1400.07776, best error:      1275.14209 on epoch:    25, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 89.1598663330s, input_fired_time: 1.1050893068, output_fired_time: 0.7403576970, propagate_forward_time: 32.7358360291, propagate_backward_time: 51.6375541687, weight_update_time: 0.1073267758, other_time: 2.9410324097
epoch time: 7.9547123909s, input_fired_time: 0.1483305991, output_fired_time: 0.0000000000, propagate_forward_time: 7.3064060211, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4999756813
validation[          , genome  4463] predictions:    9603/  10000 (96.03%), best:    9620/10000 (96.20%), error:      1325.18823, best error:      1275.14209 on epoch:    25, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 100.3878707886s, input_fired_time: 0.8633477092, output_fired_time: 0.8725930452, propagate_forward_time: 37.8984375000, propagate_backward_time: 57.5991172791, weight_update_time: 0.1064466760, other_time: 3.1543693542
epoch time: 6.4477982521s, input_fired_time: 0.0990203172, output_fired_time: 0.0000000000, propagate_forward_time: 5.9035272598, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4452505112
validation[          , genome  4463] predictions:    9581/  10000 (95.81%), best:    9620/10000 (96.20%), error:      1434.56641, best error:      1275.14209 on epoch:    25, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 98.5815353394s, input_fired_time: 0.9475648999, output_fired_time: 0.8636403084, propagate_forward_time: 36.5639495850, propagate_backward_time: 57.0128898621, weight_update_time: 0.1106799990, other_time: 3.1934928894
epoch time: 6.8389863968s, input_fired_time: 0.1050687581, output_fired_time: 0.0000000000, propagate_forward_time: 6.2642874718, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4696302414
validation[          , genome  4463] predictions:    9634/  10000 (96.34%), best:    9620/10000 (96.20%), error:      1300.67883, best error:      1275.14209 on epoch:    25, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 85.8286972046s, input_fired_time: 0.8022736907, output_fired_time: 0.7436819673, propagate_forward_time: 31.7681045532, propagate_backward_time: 49.8908691406, weight_update_time: 0.1095320433, other_time: 2.6237640381
epoch time: 7.5631427765s, input_fired_time: 0.0990669280, output_fired_time: 0.0000000000, propagate_forward_time: 6.8997764587, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5642995834
validation[          , genome  4463] predictions:    9629/  10000 (96.29%), best:    9629/10000 (96.29%), error:      1232.28625, best error:      1232.28625 on epoch:    35, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 87.5967636108s, input_fired_time: 0.8895754218, output_fired_time: 0.8782427907, propagate_forward_time: 32.6366157532, propagate_backward_time: 50.3897972107, weight_update_time: 0.1617274433, other_time: 2.8025360107
epoch time: 7.0680160522s, input_fired_time: 0.1568320096, output_fired_time: 0.0000000000, propagate_forward_time: 6.4939112663, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4172725677
validation[          , genome  4463] predictions:    9569/  10000 (95.69%), best:    9629/10000 (96.29%), error:      1367.57483, best error:      1232.28625 on epoch:    35, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 83.2805023193s, input_fired_time: 0.8860410452, output_fired_time: 0.7394080162, propagate_forward_time: 31.0547237396, propagate_backward_time: 47.9766883850, weight_update_time: 0.1853482127, other_time: 2.6236381531
epoch time: 8.7845592499s, input_fired_time: 0.1027989686, output_fired_time: 0.0000000000, propagate_forward_time: 8.1163215637, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5654382706
validation[          , genome  4463] predictions:    9621/  10000 (96.21%), best:    9629/10000 (96.29%), error:      1267.77869, best error:      1232.28625 on epoch:    35, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 90.3091735840s, input_fired_time: 0.8849832416, output_fired_time: 0.9279218912, propagate_forward_time: 33.5606613159, propagate_backward_time: 52.0664749146, weight_update_time: 0.1074123010, other_time: 2.8691253662
epoch time: 8.5796079636s, input_fired_time: 0.1273468286, output_fired_time: 0.0000000000, propagate_forward_time: 7.8181753159, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6340856552
validation[          , genome  4463] predictions:    9560/  10000 (95.60%), best:    9629/10000 (96.29%), error:      1456.37061, best error:      1232.28625 on epoch:    35, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 182.8148498535s, input_fired_time: 1.9849913120, output_fired_time: 2.0092244148, propagate_forward_time: 65.3738327026, propagate_backward_time: 107.3347702026, weight_update_time: 0.1488114148, other_time: 6.1120300293
epoch time: 17.5722618103s, input_fired_time: 0.3432540894, output_fired_time: 0.0000000000, propagate_forward_time: 15.8367834091, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3922243118
validation[          , genome  4463] predictions:    9626/  10000 (96.26%), best:    9629/10000 (96.29%), error:      1235.89380, best error:      1232.28625 on epoch:    35, 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_44_4463.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4463_1_r2137535641_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: 35
read number_validation_images: 10000
read best_validation_predictions: 9629
read best_validation_error: 1232.29
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: 4463
read normal distribution: '1 0 0'
generator_str: '1318963567'
read generator: 1318963567
read generated_by_map:
1 disable_edge 1
reading 18 nodes.
reading 31 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 87.5788192749023s, input_fired_time: 0.967915773391724, output_fired_time: 0.606970369815826, propagate_forward_time: 32.7151260375977, propagate_backward_time: 50.1211204528809, weight_update_time: 0.0965169221162796, other_time: 3.16768264770508
epoch time: 6.86515998840332s, input_fired_time: 0.0857849940657616, output_fired_time: 0, propagate_forward_time: 6.40196657180786, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.377408504486084
validation[          , genome  4463] predictions:    9630/  10000 (96.30%), best:    9629/10000 (96.29%), error:      1235.33484, best error:      1232.28625 on epoch:    35, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 83.4806747437s, input_fired_time: 0.9436600804, output_fired_time: 0.8272038698, propagate_forward_time: 29.7859668732, propagate_backward_time: 49.5992546082, weight_update_time: 0.0918284059, other_time: 2.3245964050
epoch time: 7.4402480125s, input_fired_time: 0.0893019959, output_fired_time: 0.0000000000, propagate_forward_time: 6.7043080330, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6466379166
validation[          , genome  4463] predictions:    9562/  10000 (95.62%), best:    9629/10000 (96.29%), error:      1455.59265, best error:      1232.28625 on epoch:    35, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 81.8626022339s, input_fired_time: 0.6828950644, output_fired_time: 0.8166242242, propagate_forward_time: 30.9659328461, propagate_backward_time: 46.8551406860, weight_update_time: 0.0903989300, other_time: 2.5420074463
epoch time: 5.5635180473s, input_fired_time: 0.0759016126, output_fired_time: 0.0000000000, propagate_forward_time: 5.1440968513, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3435196877
validation[          , genome  4463] predictions:    9652/  10000 (96.52%), best:    9629/10000 (96.29%), error:      1233.02222, best error:      1232.28625 on epoch:    35, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 75.3549194336s, input_fired_time: 0.9050207734, output_fired_time: 1.0271569490, propagate_forward_time: 26.5464649200, propagate_backward_time: 44.4419593811, weight_update_time: 0.3341426551, other_time: 2.4343147278
epoch time: 6.3165287971s, input_fired_time: 0.0824174657, output_fired_time: 0.0000000000, propagate_forward_time: 5.8712739944, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3628373146
validation[          , genome  4463] predictions:    9638/  10000 (96.38%), best:    9638/10000 (96.38%), error:      1205.64404, best error:      1205.64404 on epoch:    43, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 78.3314132690s, input_fired_time: 0.6694201827, output_fired_time: 0.7974919081, propagate_forward_time: 28.2231197357, propagate_backward_time: 45.9052238464, weight_update_time: 0.0873196721, other_time: 2.7361564636
epoch time: 7.0065364838s, input_fired_time: 0.0880859718, output_fired_time: 0.0000000000, propagate_forward_time: 6.2845726013, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6338777542
validation[          , genome  4463] predictions:    9623/  10000 (96.23%), best:    9638/10000 (96.38%), error:      1264.72729, best error:      1205.64404 on epoch:    43, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 80.4592895508s, input_fired_time: 0.9287490845, output_fired_time: 0.8068048954, propagate_forward_time: 28.0316257477, propagate_backward_time: 47.1778335571, weight_update_time: 0.0887271389, other_time: 3.5142745972
epoch time: 5.5924034119s, input_fired_time: 0.0771939233, output_fired_time: 0.0000000000, propagate_forward_time: 5.1757693291, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3394403458
validation[          , genome  4463] predictions:    9530/  10000 (95.30%), best:    9638/10000 (96.38%), error:      1515.35461, best error:      1205.64404 on epoch:    43, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 82.3121032715s, input_fired_time: 0.6871665120, output_fired_time: 0.5679222345, propagate_forward_time: 30.5356750488, propagate_backward_time: 47.4736061096, weight_update_time: 0.0903210640, other_time: 3.0477333069
epoch time: 7.3568973541s, input_fired_time: 0.0921672061, output_fired_time: 0.0000000000, propagate_forward_time: 6.8555436134, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4091863632
validation[          , genome  4463] predictions:    9638/  10000 (96.38%), best:    9638/10000 (96.38%), error:      1250.19214, best error:      1205.64404 on epoch:    43, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 91.7262954712s, input_fired_time: 0.9843835235, output_fired_time: 0.6272177100, propagate_forward_time: 34.9544181824, propagate_backward_time: 51.9336700439, weight_update_time: 0.0991102159, other_time: 3.2266044617
epoch time: 8.0758199692s, input_fired_time: 0.0976836234, output_fired_time: 0.0000000000, propagate_forward_time: 7.5534062386, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4247303009
validation[          , genome  4463] predictions:    9648/  10000 (96.48%), best:    9648/10000 (96.48%), error:      1179.20886, best error:      1179.20886 on epoch:    47, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 83.0672607422s, input_fired_time: 0.9431522489, output_fired_time: 0.5755253434, propagate_forward_time: 30.8593654633, propagate_backward_time: 48.3815422058, weight_update_time: 0.0915017650, other_time: 2.3076744080
epoch time: 6.5729513168s, input_fired_time: 0.0826340541, output_fired_time: 0.0000000000, propagate_forward_time: 6.1252512932, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3650660515
validation[          , genome  4463] predictions:    9606/  10000 (96.06%), best:    9648/10000 (96.48%), error:      1324.91003, best error:      1179.20886 on epoch:    47, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 78.9722671509s, input_fired_time: 0.6741482019, output_fired_time: 0.8005442619, propagate_forward_time: 26.0952014923, propagate_backward_time: 49.1653480530, weight_update_time: 0.0875848755, other_time: 2.2370262146
epoch time: 6.2410979271s, input_fired_time: 0.0829120651, output_fired_time: 0.0000000000, propagate_forward_time: 5.7982554436, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3599305153
validation[          , genome  4463] predictions:    9610/  10000 (96.10%), best:    9648/10000 (96.48%), error:      1322.39294, best error:      1179.20886 on epoch:    47, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 82.2208023071s, input_fired_time: 1.1913542747, output_fired_time: 0.5704135299, propagate_forward_time: 31.8845939636, propagate_backward_time: 45.7780876160, weight_update_time: 0.0907045156, other_time: 2.7963562012
epoch time: 7.7776756287s, input_fired_time: 0.0933745131, output_fired_time: 0.0000000000, propagate_forward_time: 6.7744736671, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9098272324
validation[          , genome  4463] predictions:    9659/  10000 (96.59%), best:    9648/10000 (96.48%), error:      1191.64722, best error:      1179.20886 on epoch:    47, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 97.0722885132s, input_fired_time: 1.0074577332, output_fired_time: 1.1591482162, propagate_forward_time: 34.8558731079, propagate_backward_time: 56.2579956055, weight_update_time: 0.1041540504, other_time: 3.7918167114
epoch time: 7.4916753769s, input_fired_time: 0.0912543237, output_fired_time: 0.0000000000, propagate_forward_time: 6.5041875839, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8962335587
validation[          , genome  4463] predictions:    9631/  10000 (96.31%), best:    9648/10000 (96.48%), error:      1224.48108, best error:      1179.20886 on epoch:    47, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 94.3825378418s, input_fired_time: 0.9966531396, output_fired_time: 0.6416186690, propagate_forward_time: 35.3945732117, propagate_backward_time: 54.0976066589, weight_update_time: 0.1018540189, other_time: 3.2520904541
epoch time: 7.5815067291s, input_fired_time: 0.3417904079, output_fired_time: 0.0000000000, propagate_forward_time: 6.5903902054, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6493263245
validation[          , genome  4463] predictions:    9649/  10000 (96.49%), best:    9649/10000 (96.49%), error:      1175.18921, best error:      1175.18921 on epoch:    52, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 91.8923645020s, input_fired_time: 0.9847611189, output_fired_time: 1.1289948225, propagate_forward_time: 35.5279693604, propagate_backward_time: 51.7982902527, weight_update_time: 0.0993718356, other_time: 2.4523429871
epoch time: 5.4280676842s, input_fired_time: 0.0760495812, output_fired_time: 0.0000000000, propagate_forward_time: 5.0212450027, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3307728767
validation[          , genome  4463] predictions:    9606/  10000 (96.06%), best:    9649/10000 (96.49%), error:      1319.36707, best error:      1175.18921 on epoch:    52, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 93.3169860840s, input_fired_time: 0.9909381270, output_fired_time: 0.6348690987, propagate_forward_time: 34.1843185425, propagate_backward_time: 54.7784690857, weight_update_time: 0.1006508544, other_time: 2.7283897400
epoch time: 8.0515232086s, input_fired_time: 0.0973016843, output_fired_time: 0.0000000000, propagate_forward_time: 7.5294566154, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4247651100
validation[          , genome  4463] predictions:    9624/  10000 (96.24%), best:    9649/10000 (96.49%), error:      1257.52649, best error:      1175.18921 on epoch:    52, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 92.9010467529s, input_fired_time: 0.9889304042, output_fired_time: 0.6322737932, propagate_forward_time: 33.8314018250, propagate_backward_time: 54.9712219238, weight_update_time: 0.1005069837, other_time: 2.4772224426
epoch time: 7.9793934822s, input_fired_time: 0.0961711407, output_fired_time: 0.0000000000, propagate_forward_time: 7.4623179436, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4209046364
validation[          , genome  4463] predictions:    9648/  10000 (96.48%), best:    9649/10000 (96.49%), error:      1179.54639, best error:      1175.18921 on epoch:    52, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 86.9639892578s, input_fired_time: 0.9634421468, output_fired_time: 0.5984191298, propagate_forward_time: 32.5489082336, propagate_backward_time: 49.9697570801, weight_update_time: 0.3452419639, other_time: 2.8834648132
epoch time: 6.3775382042s, input_fired_time: 0.3338259459, output_fired_time: 0.0000000000, propagate_forward_time: 5.4289364815, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6147756577
validation[          , genome  4463] predictions:    9623/  10000 (96.23%), best:    9649/10000 (96.49%), error:      1253.61121, best error:      1175.18921 on epoch:    52, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

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_4463.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4463_1_r2137535641_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: 0.963671
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000671669
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.68668e-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: 57
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 52
read number_validation_images: 10000
read best_validation_predictions: 9649
read best_validation_error: 1175.19
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: 4463
read normal distribution: '1 0 0'
generator_str: '1144921002'
read generator: 1144921002
read generated_by_map:
1 disable_edge 1
reading 18 nodes.
reading 31 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 85.5140533447266s, input_fired_time: 0.95816832780838, output_fired_time: 0.787800192832947, propagate_forward_time: 31.8309783935547, propagate_backward_time: 49.3046379089355, weight_update_time: 0.121485412120819, other_time: 2.63246536254883
epoch time: 7.02679777145386s, input_fired_time: 0.0979256182909012, output_fired_time: 0, propagate_forward_time: 6.48767709732056, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.441195011138916
validation[          , genome  4463] predictions:    9624/  10000 (96.24%), best:    9649/10000 (96.49%), error:      1254.64075, best error:      1175.18921 on epoch:    52, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 82.1633911133s, input_fired_time: 0.7941479087, output_fired_time: 0.7212622166, propagate_forward_time: 30.6801624298, propagate_backward_time: 47.4042701721, weight_update_time: 0.1067394987, other_time: 2.5635490417
epoch time: 6.9062952995s, input_fired_time: 0.0954654515, output_fired_time: 0.0000000000, propagate_forward_time: 6.3621730804, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4486565590
validation[          , genome  4463] predictions:    9641/  10000 (96.41%), best:    9649/10000 (96.49%), error:      1220.83118, best error:      1175.18921 on epoch:    52, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 84.6033248901s, input_fired_time: 0.8452342153, output_fired_time: 0.7269172072, propagate_forward_time: 31.4878940582, propagate_backward_time: 48.7972526550, weight_update_time: 0.1078008637, other_time: 2.7460289001
epoch time: 6.9134483337s, input_fired_time: 0.1126843318, output_fired_time: 0.0000000000, propagate_forward_time: 6.3029909134, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4977731705
validation[          , genome  4463] predictions:    9562/  10000 (95.62%), best:    9649/10000 (96.49%), error:      1456.01172, best error:      1175.18921 on epoch:    52, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 82.8846893311s, input_fired_time: 0.8433535695, output_fired_time: 0.7072312832, propagate_forward_time: 31.2526855469, propagate_backward_time: 47.5345878601, weight_update_time: 0.1063565314, other_time: 2.5468330383
epoch time: 7.4863514900s, input_fired_time: 0.0944726169, output_fired_time: 0.0000000000, propagate_forward_time: 6.8991122246, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4927668571
validation[          , genome  4463] predictions:    9641/  10000 (96.41%), best:    9649/10000 (96.49%), error:      1218.97717, best error:      1175.18921 on epoch:    52, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 85.6976623535s, input_fired_time: 0.8945385814, output_fired_time: 0.8312661648, propagate_forward_time: 31.6916370392, propagate_backward_time: 49.5914192200, weight_update_time: 0.1077338532, other_time: 2.6888008118
epoch time: 6.8092193604s, input_fired_time: 0.0958555490, output_fired_time: 0.0000000000, propagate_forward_time: 6.2019653320, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5113983154
validation[          , genome  4463] predictions:    9608/  10000 (96.08%), best:    9649/10000 (96.49%), error:      1288.18506, best error:      1175.18921 on epoch:    52, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 85.2783813477s, input_fired_time: 0.8725679517, output_fired_time: 0.7738739848, propagate_forward_time: 31.8383216858, propagate_backward_time: 49.1667175293, weight_update_time: 0.1098499224, other_time: 2.6269035339
epoch time: 7.0632858276s, input_fired_time: 0.1161393672, output_fired_time: 0.0000000000, propagate_forward_time: 6.4616651535, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4854812622
validation[          , genome  4463] predictions:    9626/  10000 (96.26%), best:    9649/10000 (96.49%), error:      1207.74622, best error:      1175.18921 on epoch:    52, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 85.8374404907s, input_fired_time: 0.9488860965, output_fired_time: 0.7768263221, propagate_forward_time: 31.6867446899, propagate_backward_time: 49.7782707214, weight_update_time: 0.1061670110, other_time: 2.6467170715
epoch time: 7.5714669228s, input_fired_time: 0.0989798456, output_fired_time: 0.0000000000, propagate_forward_time: 6.9172534943, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5552334785
validation[          , genome  4463] predictions:    9649/  10000 (96.49%), best:    9649/10000 (96.49%), error:      1162.49756, best error:      1162.49756 on epoch:    63, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 89.0374526978s, input_fired_time: 0.9200702906, output_fired_time: 0.8648959994, propagate_forward_time: 33.3747787476, propagate_backward_time: 51.1410903931, weight_update_time: 0.1091858298, other_time: 2.7366180420
epoch time: 7.3404521942s, input_fired_time: 0.0977961123, output_fired_time: 0.0000000000, propagate_forward_time: 6.7671937943, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4754624367
validation[          , genome  4463] predictions:    9603/  10000 (96.03%), best:    9649/10000 (96.49%), error:      1275.75793, best error:      1162.49756 on epoch:    63, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 89.9183731079s, input_fired_time: 0.8805862069, output_fired_time: 0.9240816236, propagate_forward_time: 33.3310279846, propagate_backward_time: 51.8931083679, weight_update_time: 0.1422248334, other_time: 2.8895721436
epoch time: 6.6029930115s, input_fired_time: 0.0999137461, output_fired_time: 0.0000000000, propagate_forward_time: 6.0392222404, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4638571739
validation[          , genome  4463] predictions:    9661/  10000 (96.61%), best:    9649/10000 (96.49%), error:      1170.03601, best error:      1162.49756 on epoch:    63, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 84.3210220337s, input_fired_time: 0.8454564214, output_fired_time: 0.7640823126, propagate_forward_time: 31.1975364685, propagate_backward_time: 48.8397674561, weight_update_time: 0.1100065410, other_time: 2.6741752625
epoch time: 7.9289698601s, input_fired_time: 0.0960798115, output_fired_time: 0.0000000000, propagate_forward_time: 7.2944226265, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5384674072
validation[          , genome  4463] predictions:    9636/  10000 (96.36%), best:    9649/10000 (96.49%), error:      1240.07056, best error:      1162.49756 on epoch:    63, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 88.5988998413s, input_fired_time: 0.9697518349, output_fired_time: 0.7814037204, propagate_forward_time: 32.7501068115, propagate_backward_time: 51.3021736145, weight_update_time: 0.1106424928, other_time: 2.7954673767
epoch time: 6.8367929459s, input_fired_time: 0.1263355464, output_fired_time: 0.0000000000, propagate_forward_time: 6.2347912788, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4756660461
validation[          , genome  4463] predictions:    9647/  10000 (96.47%), best:    9649/10000 (96.49%), error:      1175.04419, best error:      1162.49756 on epoch:    63, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 88.1279449463s, input_fired_time: 0.9935940504, output_fired_time: 0.6907401085, propagate_forward_time: 32.9779281616, propagate_backward_time: 50.8049507141, weight_update_time: 0.1089973748, other_time: 2.6607322693
epoch time: 8.1686525345s, input_fired_time: 0.1628531218, output_fired_time: 0.0000000000, propagate_forward_time: 7.3351225853, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6706767082
validation[          , genome  4463] predictions:    9653/  10000 (96.53%), best:    9649/10000 (96.49%), error:      1171.41992, best error:      1162.49756 on epoch:    63, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 81.9796447754s, input_fired_time: 0.8107875586, output_fired_time: 0.7702732086, propagate_forward_time: 30.3413658142, propagate_backward_time: 47.5318336487, weight_update_time: 0.1066524163, other_time: 2.5253829956
epoch time: 7.1457543373s, input_fired_time: 0.1608173698, output_fired_time: 0.0000000000, propagate_forward_time: 6.5496935844, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4352436066
validation[          , genome  4463] predictions:    9640/  10000 (96.40%), best:    9640/10000 (96.40%), error:      1160.21411, best error:      1160.21411 on epoch:    69, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 96.4192886353s, input_fired_time: 0.8916345239, output_fired_time: 1.0544229746, propagate_forward_time: 36.3543510437, propagate_backward_time: 55.4878005981, weight_update_time: 0.1096410081, other_time: 2.6310844421
epoch time: 12.2202415466s, input_fired_time: 0.1401255578, output_fired_time: 0.0000000000, propagate_forward_time: 11.1247434616, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9553728104
validation[          , genome  4463] predictions:    9654/  10000 (96.54%), best:    9640/10000 (96.40%), error:      1185.59619, best error:      1160.21411 on epoch:    69, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 151.4838867188s, input_fired_time: 1.6282509565, output_fired_time: 1.1359566450, propagate_forward_time: 61.6668281555, propagate_backward_time: 82.4875869751, weight_update_time: 0.4158827662, other_time: 4.5652694702
epoch time: 13.2665805817s, input_fired_time: 0.1089430824, output_fired_time: 0.0000000000, propagate_forward_time: 12.1233634949, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0342741013
validation[          , genome  4463] predictions:    9619/  10000 (96.19%), best:    9640/10000 (96.40%), error:      1249.37830, best error:      1160.21411 on epoch:    69, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 132.8620300293s, input_fired_time: 1.6145324707, output_fired_time: 0.9188099504, propagate_forward_time: 50.7783012390, propagate_backward_time: 76.0335998535, weight_update_time: 0.1500190794, other_time: 3.5167846680
epoch time: 10.6006307602s, input_fired_time: 0.1087761670, output_fired_time: 0.0000000000, propagate_forward_time: 9.7727603912, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7190942764
validation[          , genome  4463] predictions:    9567/  10000 (95.67%), best:    9640/10000 (96.40%), error:      1412.76880, best error:      1160.21411 on epoch:    69, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 132.7982482910s, input_fired_time: 1.5649254322, output_fired_time: 1.1349495649, propagate_forward_time: 50.0797080994, propagate_backward_time: 75.1972274780, weight_update_time: 0.1348626316, other_time: 4.8214340210
epoch time: 11.3972311020s, input_fired_time: 0.1089963317, output_fired_time: 0.0000000000, propagate_forward_time: 10.2386713028, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0495634079
validation[          , genome  4463] predictions:    9641/  10000 (96.41%), best:    9640/10000 (96.40%), error:      1196.27795, best error:      1160.21411 on epoch:    69, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 128.5377197266s, input_fired_time: 1.2238905430, output_fired_time: 1.1193660498, propagate_forward_time: 48.2772445679, propagate_backward_time: 73.8564834595, weight_update_time: 0.1501980722, other_time: 4.0607299805
epoch time: 10.2917766571s, input_fired_time: 0.1402556300, output_fired_time: 0.0000000000, propagate_forward_time: 9.6021614075, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5493593216
validation[          , genome  4463] predictions:    9629/  10000 (96.29%), best:    9640/10000 (96.40%), error:      1241.76807, best error:      1160.21411 on epoch:    69, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 125.7596206665s, input_fired_time: 1.3957962990, output_fired_time: 0.8857255578, propagate_forward_time: 45.0019645691, propagate_backward_time: 74.0782089233, weight_update_time: 0.3689305782, other_time: 4.3979263306
epoch time: 9.8316087723s, input_fired_time: 0.1096148267, output_fired_time: 0.0000000000, propagate_forward_time: 8.9846334457, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7373609543
validation[          , genome  4463] predictions:    9599/  10000 (95.99%), best:    9640/10000 (96.40%), error:      1283.09241, best error:      1160.21411 on epoch:    69, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 122.2301788330s, input_fired_time: 1.1316229105, output_fired_time: 0.7770854235, propagate_forward_time: 46.5462722778, propagate_backward_time: 70.5937118530, weight_update_time: 0.1190577969, other_time: 3.1814880371
epoch time: 9.7780895233s, input_fired_time: 0.1093598008, output_fired_time: 0.0000000000, propagate_forward_time: 8.9159374237, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7527923584
validation[          , genome  4463] predictions:    9619/  10000 (96.19%), best:    9640/10000 (96.40%), error:      1252.80908, best error:      1160.21411 on epoch:    69, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 119.4900512695s, input_fired_time: 1.4282408953, output_fired_time: 1.0419685841, propagate_forward_time: 42.3532600403, propagate_backward_time: 69.8740692139, weight_update_time: 0.3690637052, other_time: 4.7925109863
epoch time: 9.5775671005s, input_fired_time: 0.1091913655, output_fired_time: 0.0000000000, propagate_forward_time: 8.7472867966, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7210893631
validation[          , genome  4463] predictions:    9667/  10000 (96.67%), best:    9667/10000 (96.67%), error:      1156.04407, best error:      1156.04407 on epoch:    77, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 116.4570846558s, input_fired_time: 0.8793746829, output_fired_time: 1.0115096569, propagate_forward_time: 45.4817008972, propagate_backward_time: 64.1636505127, weight_update_time: 0.1191597581, other_time: 4.9208526611
epoch time: 9.2042541504s, input_fired_time: 0.1089799255, output_fired_time: 0.0000000000, propagate_forward_time: 8.3751516342, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7201223373
validation[          , genome  4463] predictions:    9651/  10000 (96.51%), best:    9667/10000 (96.67%), error:      1223.04004, best error:      1156.04407 on epoch:    77, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 113.2904739380s, input_fired_time: 0.8446730971, output_fired_time: 1.7546998262, propagate_forward_time: 43.0601348877, propagate_backward_time: 62.7901229858, weight_update_time: 0.1180845648, other_time: 4.8408432007
epoch time: 6.0494909286s, input_fired_time: 0.0961253867, output_fired_time: 0.0000000000, propagate_forward_time: 5.5360736847, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4172916412
validation[          , genome  4463] predictions:    9632/  10000 (96.32%), best:    9667/10000 (96.67%), error:      1255.33142, best error:      1156.04407 on epoch:    77, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 78.0515365601s, input_fired_time: 0.8473851681, output_fired_time: 0.6902879477, propagate_forward_time: 28.8890228271, propagate_backward_time: 45.1955947876, weight_update_time: 0.1377613842, other_time: 2.4292526245
epoch time: 5.9898943901s, input_fired_time: 0.0969666466, output_fired_time: 0.0000000000, propagate_forward_time: 5.4795556068, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4133720398
validation[          , genome  4463] predictions:    9602/  10000 (96.02%), best:    9667/10000 (96.67%), error:      1385.41150, best error:      1156.04407 on epoch:    77, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 77.8989715576s, input_fired_time: 0.8458123803, output_fired_time: 0.7079806924, propagate_forward_time: 28.8765583038, propagate_backward_time: 44.9931526184, weight_update_time: 0.1061936840, other_time: 2.4754753113
epoch time: 5.9648509026s, input_fired_time: 0.1125332788, output_fired_time: 0.0000000000, propagate_forward_time: 5.4363756180, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4159421921
validation[          , genome  4463] predictions:    9611/  10000 (96.11%), best:    9667/10000 (96.67%), error:      1267.10400, best error:      1156.04407 on epoch:    77, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 79.1128692627s, input_fired_time: 0.8649761081, output_fired_time: 0.7430869937, propagate_forward_time: 29.4938926697, propagate_backward_time: 45.4445724487, weight_update_time: 0.1068597734, other_time: 2.5663414001
epoch time: 6.2890796661s, input_fired_time: 0.1148741841, output_fired_time: 0.0000000000, propagate_forward_time: 5.7475934029, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4266119003
validation[          , genome  4463] predictions:    9667/  10000 (96.67%), best:    9667/10000 (96.67%), error:      1105.08765, best error:      1105.08765 on epoch:    82, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 78.1491317749s, input_fired_time: 0.8748348951, output_fired_time: 0.7074778080, propagate_forward_time: 28.8972682953, propagate_backward_time: 45.2140426636, weight_update_time: 0.1219943315, other_time: 2.4555053711
epoch time: 6.4704799652s, input_fired_time: 0.1132296100, output_fired_time: 0.0000000000, propagate_forward_time: 5.9209008217, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4363493919
validation[          , genome  4463] predictions:    9662/  10000 (96.62%), best:    9667/10000 (96.67%), error:      1160.76782, best error:      1105.08765 on epoch:    82, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 77.5165023804s, input_fired_time: 0.8014590740, output_fired_time: 0.6780135632, propagate_forward_time: 28.7185039520, propagate_backward_time: 44.8433494568, weight_update_time: 0.1073205769, other_time: 2.4751701355
epoch time: 5.7811665535s, input_fired_time: 0.0937040821, output_fired_time: 0.0000000000, propagate_forward_time: 5.2850394249, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4024229050
validation[          , genome  4463] predictions:    9652/  10000 (96.52%), best:    9667/10000 (96.67%), error:      1167.94641, best error:      1105.08765 on epoch:    82, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 77.6764373779s, input_fired_time: 0.8078978062, output_fired_time: 0.6796111465, propagate_forward_time: 28.8476428986, propagate_backward_time: 44.9055976868, weight_update_time: 0.1361782402, other_time: 2.4356880188
epoch time: 6.4105038643s, input_fired_time: 0.0936528891, output_fired_time: 0.0000000000, propagate_forward_time: 5.8514442444, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4654068947
validation[          , genome  4463] predictions:    9652/  10000 (96.52%), best:    9667/10000 (96.67%), error:      1154.20361, best error:      1105.08765 on epoch:    82, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 74.6801376343s, input_fired_time: 0.8159663677, output_fired_time: 0.6713812947, propagate_forward_time: 27.4847431183, propagate_backward_time: 43.3530807495, weight_update_time: 0.1041129008, other_time: 2.3549728394
epoch time: 5.9558873177s, input_fired_time: 0.1258640140, output_fired_time: 0.0000000000, propagate_forward_time: 5.3942551613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4357681274
validation[          , genome  4463] predictions:    9668/  10000 (96.68%), best:    9667/10000 (96.67%), error:      1132.32996, best error:      1105.08765 on epoch:    82, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 76.7859344482s, input_fired_time: 0.7862267494, output_fired_time: 0.6739840508, propagate_forward_time: 28.3390789032, propagate_backward_time: 44.5067100525, weight_update_time: 0.1036709920, other_time: 2.4799385071
epoch time: 6.0637040138s, input_fired_time: 0.0949553996, output_fired_time: 0.0000000000, propagate_forward_time: 5.5493965149, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4193520546
validation[          , genome  4463] predictions:    9650/  10000 (96.50%), best:    9667/10000 (96.67%), error:      1155.65210, best error:      1105.08765 on epoch:    82, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 77.6162338257s, input_fired_time: 0.8583236337, output_fired_time: 0.7296742201, propagate_forward_time: 28.8718662262, propagate_backward_time: 44.7862243652, weight_update_time: 0.1057497039, other_time: 2.3701477051
epoch time: 6.2337636948s, input_fired_time: 0.1139039397, output_fired_time: 0.0000000000, propagate_forward_time: 5.6998071671, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4200525284
validation[          , genome  4463] predictions:    9671/  10000 (96.71%), best:    9671/10000 (96.71%), error:      1097.95459, best error:      1097.95459 on epoch:    88, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 75.6534729004s, input_fired_time: 0.8047116399, output_fired_time: 0.6587616205, propagate_forward_time: 28.0320148468, propagate_backward_time: 43.7811508179, weight_update_time: 0.1350069195, other_time: 2.3768386841
epoch time: 5.9283456802s, input_fired_time: 0.0961556137, output_fired_time: 0.0000000000, propagate_forward_time: 5.4230766296, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4091134071
validation[          , genome  4463] predictions:    9609/  10000 (96.09%), best:    9671/10000 (96.71%), error:      1274.87000, best error:      1097.95459 on epoch:    88, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 74.6885986328s, input_fired_time: 0.7984888554, output_fired_time: 0.6443520784, propagate_forward_time: 27.7264652252, propagate_backward_time: 43.1936683655, weight_update_time: 0.1018236801, other_time: 2.3256187439
epoch time: 6.2489919662s, input_fired_time: 0.0967034474, output_fired_time: 0.0000000000, propagate_forward_time: 5.6650252342, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4872632027
validation[          , genome  4463] predictions:    9625/  10000 (96.25%), best:    9671/10000 (96.71%), error:      1214.13574, best error:      1097.95459 on epoch:    88, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 73.9533615112s, input_fired_time: 0.7688235641, output_fired_time: 0.6648280621, propagate_forward_time: 27.3906211853, propagate_backward_time: 42.8025665283, weight_update_time: 0.1029720902, other_time: 2.3265266418
epoch time: 5.8369116783s, input_fired_time: 0.0961545557, output_fired_time: 0.0000000000, propagate_forward_time: 5.3342518806, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4065051079
validation[          , genome  4463] predictions:    9655/  10000 (96.55%), best:    9671/10000 (96.71%), error:      1182.41541, best error:      1097.95459 on epoch:    88, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 74.1323013306s, input_fired_time: 0.7653499246, output_fired_time: 0.6582614183, propagate_forward_time: 27.3765373230, propagate_backward_time: 42.9928398132, weight_update_time: 0.1173769087, other_time: 2.3393096924
epoch time: 6.0006232262s, input_fired_time: 0.1266376376, output_fired_time: 0.0000000000, propagate_forward_time: 5.4634513855, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4105343819
validation[          , genome  4463] predictions:    9671/  10000 (96.71%), best:    9671/10000 (96.71%), error:      1146.48022, best error:      1097.95459 on epoch:    88, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 74.6475906372s, input_fired_time: 0.8015577197, output_fired_time: 0.6471112967, propagate_forward_time: 27.3694858551, propagate_backward_time: 43.4444084167, weight_update_time: 0.1022015437, other_time: 2.3850288391
epoch time: 5.8963494301s, input_fired_time: 0.0970321149, output_fired_time: 0.0000000000, propagate_forward_time: 5.3961143494, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4032030106
validation[          , genome  4463] predictions:    9663/  10000 (96.63%), best:    9671/10000 (96.71%), error:      1116.53613, best error:      1097.95459 on epoch:    88, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 73.1490478516s, input_fired_time: 0.7792020440, output_fired_time: 0.6558580995, propagate_forward_time: 26.9432544708, propagate_backward_time: 42.4707260132, weight_update_time: 0.1020392627, other_time: 2.3000030518
epoch time: 5.9926147461s, input_fired_time: 0.1270257086, output_fired_time: 0.0000000000, propagate_forward_time: 5.4646835327, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4009056091
validation[          , genome  4463] predictions:    9655/  10000 (96.55%), best:    9671/10000 (96.71%), error:      1106.88794, best error:      1097.95459 on epoch:    88, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 73.1236038208s, input_fired_time: 0.7660362124, output_fired_time: 0.6425642967, propagate_forward_time: 27.0360298157, propagate_backward_time: 42.3054885864, weight_update_time: 0.1134969965, other_time: 2.3734855652
epoch time: 5.9358587265s, input_fired_time: 0.0960675031, output_fired_time: 0.0000000000, propagate_forward_time: 5.4037132263, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4360780716
validation[          , genome  4463] predictions:    9675/  10000 (96.75%), best:    9671/10000 (96.71%), error:      1115.36792, best error:      1097.95459 on epoch:    88, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 74.0963211060s, input_fired_time: 0.7648758888, output_fired_time: 0.6714062095, propagate_forward_time: 27.5303955078, propagate_backward_time: 42.7861709595, weight_update_time: 0.1012527645, other_time: 2.3434677124
epoch time: 6.4189929962s, input_fired_time: 0.0968652442, output_fired_time: 0.0000000000, propagate_forward_time: 5.9137825966, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4083452225
validation[          , genome  4463] predictions:    9652/  10000 (96.52%), best:    9671/10000 (96.71%), error:      1151.88416, best error:      1097.95459 on epoch:    88, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 73.8751449585s, input_fired_time: 0.7975682616, output_fired_time: 0.6577250361, propagate_forward_time: 27.4775123596, propagate_backward_time: 42.6693115234, weight_update_time: 0.1017125621, other_time: 2.2730293274
epoch time: 5.8906679153s, input_fired_time: 0.0969277173, output_fired_time: 0.0000000000, propagate_forward_time: 5.3893141747, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4044260979
validation[          , genome  4463] predictions:    9649/  10000 (96.49%), best:    9671/10000 (96.71%), error:      1146.55383, best error:      1097.95459 on epoch:    88, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 72.1961212158s, input_fired_time: 0.7843561172, output_fired_time: 0.6763767004, propagate_forward_time: 26.5530376434, propagate_backward_time: 41.9098320007, weight_update_time: 0.1018584743, other_time: 2.2725181580
epoch time: 6.4941658974s, input_fired_time: 0.1133918986, output_fired_time: 0.0000000000, propagate_forward_time: 5.9273180962, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4534559250
validation[          , genome  4463] predictions:    9625/  10000 (96.25%), best:    9671/10000 (96.71%), error:      1230.76367, best error:      1097.95459 on epoch:    88, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 74.1695175171s, input_fired_time: 0.8326811194, output_fired_time: 0.6749226451, propagate_forward_time: 27.3374881744, propagate_backward_time: 42.9303436279, weight_update_time: 0.1028513089, other_time: 2.3940887451
epoch time: 6.0377225876s, input_fired_time: 0.0983490646, output_fired_time: 0.0000000000, propagate_forward_time: 5.5259227753, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4134507179
validation[          , genome  4463] predictions:    9653/  10000 (96.53%), best:    9671/10000 (96.71%), error:      1191.82642, best error:      1097.95459 on epoch:    88, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 71.8566513062s, input_fired_time: 0.7687315345, output_fired_time: 0.6453509331, propagate_forward_time: 26.4937934875, propagate_backward_time: 41.6998405457, weight_update_time: 0.1021697894, other_time: 2.2489395142
epoch time: 5.9760427475s, input_fired_time: 0.0960710645, output_fired_time: 0.0000000000, propagate_forward_time: 5.4619388580, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4180326462
validation[          , genome  4463] predictions:    9664/  10000 (96.64%), best:    9671/10000 (96.71%), error:      1114.34961, best error:      1097.95459 on epoch:    88, 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: 29.4189186096s, input_fired_time: 0.4837106168, output_fired_time: 0.0000000000, propagate_forward_time: 26.7895469666, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1456604004
best training[          , genome  4463] predictions:   49057/  50000 (98.11%), best:    9671/10000 (96.71%), error:      3443.74146, best error:      1097.95459 on epoch:    88, 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: 5.9217066765s, input_fired_time: 0.0975380093, output_fired_time: 0.0000000000, propagate_forward_time: 5.4059967995, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4181718826
   testing[          , genome  4463] predictions:    9698/  10000 (96.98%), best:    9671/10000 (96.71%), error:      1047.27600, best error:      1097.95459 on epoch:    88, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
00:45:09 (11040): called boinc_finish(0)

</stderr_txt>
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