Nameexact_genome_1512568488_43_4478_0
Workunit2593664
Created7 Dec 2017, 10:09:20 UTC
Sent7 Dec 2017, 10:12:37 UTC
Report deadline12 Dec 2017, 5:00:23 UTC
Received7 Dec 2017, 23:52:35 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time3 hours 28 min 22 sec
CPU time2 hours 24 min 17 sec
Validate stateValid
Credit1,195.79
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size154.56 MB
Peak swap size157.49 MB
Peak disk usage1.76 MB

Stderr output

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

epoch time: 123.3804397583s, input_fired_time: 1.2019113302, output_fired_time: 1.0187653303, propagate_forward_time: 45.9859390259, propagate_backward_time: 71.3813400269, weight_update_time: 0.4018224180, other_time: 3.7924804688
epoch time: 14.0939207077s, input_fired_time: 0.1094284728, output_fired_time: 0.0000000000, propagate_forward_time: 13.1181697845, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8663225174
validation[          , genome  4478] predictions:    9624/  10000 (96.24%), best:    9630/10000 (96.30%), error:      1275.72314, best error:      1245.29907 on epoch:    19, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 166.4905090332s, input_fired_time: 1.7515649796, output_fired_time: 1.3003212214, propagate_forward_time: 63.3732070923, propagate_backward_time: 93.9087066650, weight_update_time: 0.4606902599, other_time: 6.1567001343
epoch time: 14.0392856598s, input_fired_time: 0.1266494244, output_fired_time: 0.0000000000, propagate_forward_time: 12.6388587952, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2737770081
validation[          , genome  4478] predictions:    9631/  10000 (96.31%), best:    9631/10000 (96.31%), error:      1242.73938, best error:      1242.73938 on epoch:    28, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 167.1226806641s, input_fired_time: 1.4074045420, output_fired_time: 1.8005722761, propagate_forward_time: 63.5263671875, propagate_backward_time: 95.1805953979, weight_update_time: 0.4347364008, other_time: 5.2077407837
epoch time: 13.8698673248s, input_fired_time: 0.1095631346, output_fired_time: 0.0000000000, propagate_forward_time: 12.5947980881, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1655063629
validation[          , genome  4478] predictions:    9646/  10000 (96.46%), best:    9646/10000 (96.46%), error:      1212.37854, best error:      1212.37854 on epoch:    29, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 166.2990112305s, input_fired_time: 1.8581136465, output_fired_time: 1.6176657677, propagate_forward_time: 64.0996932983, propagate_backward_time: 94.2503051758, weight_update_time: 0.1537746340, other_time: 4.4732437134
epoch time: 14.1700162888s, input_fired_time: 0.3751814365, output_fired_time: 0.0000000000, propagate_forward_time: 12.8694324493, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9254026413
validation[          , genome  4478] predictions:    9612/  10000 (96.12%), best:    9646/10000 (96.46%), error:      1304.78491, best error:      1212.37854 on epoch:    29, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 167.7285156250s, input_fired_time: 1.5617154837, output_fired_time: 1.6783769131, propagate_forward_time: 63.2228088379, propagate_backward_time: 95.8643264771, weight_update_time: 0.1696204692, other_time: 5.4012832642
epoch time: 13.8568878174s, input_fired_time: 0.3753193617, output_fired_time: 0.0000000000, propagate_forward_time: 12.2235994339, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2579689026
validation[          , genome  4478] predictions:    9638/  10000 (96.38%), best:    9638/10000 (96.38%), error:      1181.30908, best error:      1181.30908 on epoch:    31, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 169.8169250488s, input_fired_time: 1.5698460340, output_fired_time: 1.5508525372, propagate_forward_time: 64.1106719971, propagate_backward_time: 97.8250427246, weight_update_time: 0.1848877072, other_time: 4.7605133057
epoch time: 13.9818553925s, input_fired_time: 0.4528863728, output_fired_time: 0.0000000000, propagate_forward_time: 12.4728422165, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0561265945
validation[          , genome  4478] predictions:    9646/  10000 (96.46%), best:    9646/10000 (96.46%), error:      1179.65723, best error:      1179.65723 on epoch:    32, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 185.8350830078s, input_fired_time: 1.8105285168, output_fired_time: 1.6924566031, propagate_forward_time: 70.9744567871, propagate_backward_time: 107.0514678955, weight_update_time: 0.2264790684, other_time: 4.3061676025
epoch time: 15.9923982620s, input_fired_time: 0.2197662443, output_fired_time: 0.0000000000, propagate_forward_time: 14.9512014389, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8214302063
validation[          , genome  4478] predictions:    9650/  10000 (96.50%), best:    9646/10000 (96.46%), error:      1217.04688, best error:      1179.65723 on epoch:    32, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 183.2241821289s, input_fired_time: 1.7012085915, output_fired_time: 1.6755868196, propagate_forward_time: 68.5203475952, propagate_backward_time: 105.0245971680, weight_update_time: 0.2631371319, other_time: 6.3024520874
epoch time: 14.2372331619s, input_fired_time: 0.1092727929, output_fired_time: 0.0000000000, propagate_forward_time: 12.8378877640, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2900724411
validation[          , genome  4478] predictions:    9607/  10000 (96.07%), best:    9646/10000 (96.46%), error:      1312.74097, best error:      1179.65723 on epoch:    32, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 192.1114807129s, input_fired_time: 1.4101345539, output_fired_time: 2.4106624126, propagate_forward_time: 71.0495758057, propagate_backward_time: 111.0133895874, weight_update_time: 0.5026252270, other_time: 6.2277145386
epoch time: 17.8640937805s, input_fired_time: 0.5246763229, output_fired_time: 0.0000000000, propagate_forward_time: 16.6294059753, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7100105286
validation[          , genome  4478] predictions:    9545/  10000 (95.45%), best:    9646/10000 (96.46%), error:      1495.84192, best error:      1179.65723 on epoch:    32, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 205.3451843262s, input_fired_time: 2.1734449863, output_fired_time: 1.5827468634, propagate_forward_time: 77.6040954590, propagate_backward_time: 117.0068740845, weight_update_time: 0.5291172862, other_time: 6.9780197144
epoch time: 16.0582447052s, input_fired_time: 0.2041166425, output_fired_time: 0.0000000000, propagate_forward_time: 15.2224626541, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6316652298
validation[          , genome  4478] predictions:    9647/  10000 (96.47%), best:    9646/10000 (96.46%), error:      1182.92871, best error:      1179.65723 on epoch:    32, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 189.7626342773s, input_fired_time: 1.6609177589, output_fired_time: 1.9451020956, propagate_forward_time: 73.5639495850, propagate_backward_time: 107.6431655884, weight_update_time: 0.2005020827, other_time: 4.9495010376
epoch time: 17.3580818176s, input_fired_time: 0.1874937266, output_fired_time: 0.0000000000, propagate_forward_time: 15.4160604477, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7545270920
validation[          , genome  4478] predictions:    9634/  10000 (96.34%), best:    9646/10000 (96.46%), error:      1225.92981, best error:      1179.65723 on epoch:    32, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 192.8859100342s, input_fired_time: 2.0173401833, output_fired_time: 1.7105237246, propagate_forward_time: 71.1996383667, propagate_backward_time: 111.3431243896, weight_update_time: 0.1764007807, other_time: 6.6152877808
epoch time: 15.9794082642s, input_fired_time: 0.1412023157, output_fired_time: 0.0000000000, propagate_forward_time: 14.9091196060, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9290866852
validation[          , genome  4478] predictions:    9607/  10000 (96.07%), best:    9646/10000 (96.46%), error:      1301.84851, best error:      1179.65723 on epoch:    32, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 184.8699035645s, input_fired_time: 1.4550220966, output_fired_time: 2.2702674866, propagate_forward_time: 70.9467086792, propagate_backward_time: 103.6129608154, weight_update_time: 0.4852887988, other_time: 6.5849533081
epoch time: 14.5077629089s, input_fired_time: 0.1412089169, output_fired_time: 0.0000000000, propagate_forward_time: 13.4834232330, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8831310272
validation[          , genome  4478] predictions:    9648/  10000 (96.48%), best:    9648/10000 (96.48%), error:      1150.23389, best error:      1150.23389 on epoch:    39, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 172.1917419434s, input_fired_time: 1.5490621328, output_fired_time: 1.0364956856, propagate_forward_time: 63.3632545471, propagate_backward_time: 100.6176986694, weight_update_time: 0.2163733840, other_time: 5.6252365112
epoch time: 12.3948316574s, input_fired_time: 0.3905436099, output_fired_time: 0.0000000000, propagate_forward_time: 11.3290061951, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6752815247
validation[          , genome  4478] predictions:    9614/  10000 (96.14%), best:    9648/10000 (96.48%), error:      1258.67334, best error:      1150.23389 on epoch:    39, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 162.3840026855s, input_fired_time: 2.0040535927, output_fired_time: 1.3027789593, propagate_forward_time: 59.2527847290, propagate_backward_time: 93.9125061035, weight_update_time: 0.1853437573, other_time: 5.9118728638
epoch time: 12.2333183289s, input_fired_time: 0.1563716233, output_fired_time: 0.0000000000, propagate_forward_time: 11.3502845764, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7266616821
validation[          , genome  4478] predictions:    9636/  10000 (96.36%), best:    9648/10000 (96.48%), error:      1186.58875, best error:      1150.23389 on epoch:    39, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 140.7427673340s, input_fired_time: 1.7977679968, output_fired_time: 1.3250682354, propagate_forward_time: 51.9390373230, propagate_backward_time: 81.4540557861, weight_update_time: 0.2006335407, other_time: 4.2268218994
epoch time: 13.0377140045s, input_fired_time: 0.4388059378, output_fired_time: 0.0000000000, propagate_forward_time: 11.7952022552, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8037061691
validation[          , genome  4478] predictions:    9624/  10000 (96.24%), best:    9648/10000 (96.48%), error:      1205.44434, best error:      1150.23389 on epoch:    39, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 109.7091751099s, input_fired_time: 1.3584576845, output_fired_time: 1.0753401518, propagate_forward_time: 39.7026863098, propagate_backward_time: 64.5768051147, weight_update_time: 0.1881569326, other_time: 2.9958877563
epoch time: 8.7010240555s, input_fired_time: 0.1064900383, output_fired_time: 0.0000000000, propagate_forward_time: 7.9801721573, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6143617630
validation[          , genome  4478] predictions:    9605/  10000 (96.05%), best:    9648/10000 (96.48%), error:      1285.90027, best error:      1150.23389 on epoch:    39, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 88.0843963623s, input_fired_time: 0.8840168118, output_fired_time: 0.8703652620, propagate_forward_time: 32.9400100708, propagate_backward_time: 50.5993156433, weight_update_time: 0.1432829499, other_time: 2.7906837463
epoch time: 6.4730267525s, input_fired_time: 0.1032423377, output_fired_time: 0.0000000000, propagate_forward_time: 5.8762469292, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4935374260
validation[          , genome  4478] predictions:    9644/  10000 (96.44%), best:    9648/10000 (96.48%), error:      1206.87378, best error:      1150.23389 on epoch:    39, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 95.6865005493s, input_fired_time: 1.0274441242, output_fired_time: 0.9960257411, propagate_forward_time: 35.3615570068, propagate_backward_time: 55.1682891846, weight_update_time: 0.1743784696, other_time: 3.1331863403
epoch time: 6.8397612572s, input_fired_time: 0.1315288991, output_fired_time: 0.0000000000, propagate_forward_time: 6.1225314140, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5857009888
validation[          , genome  4478] predictions:    9603/  10000 (96.03%), best:    9648/10000 (96.48%), error:      1327.16882, best error:      1150.23389 on epoch:    39, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_4478.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_4478_0_r130523382_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: 0.943711
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00118085
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.72341e-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: 46
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 39
read number_validation_images: 10000
read best_validation_predictions: 9648
read best_validation_error: 1150.23
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: 4478
read normal distribution: '0 0.254725486040115 -0.923928320407867'
generator_str: '2005317746'
read generator: 2005317746
read generated_by_map:
1 add_edge 1
reading 20 nodes.
reading 37 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 82.1884231567383s, input_fired_time: 0.932611048221588, output_fired_time: 0.679122090339661, propagate_forward_time: 30.4775047302246, propagate_backward_time: 47.5378723144531, weight_update_time: 0.108044229447842, other_time: 2.56131362915039
epoch time: 6.65452337265015s, input_fired_time: 0.0979524329304695, output_fired_time: 0, propagate_forward_time: 6.13864278793335, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.417928218841553
validation[          , genome  4478] predictions:    9626/  10000 (96.26%), best:    9648/10000 (96.48%), error:      1195.64661, best error:      1150.23389 on epoch:    39, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 83.9575042725s, input_fired_time: 0.9668125510, output_fired_time: 0.7797209024, propagate_forward_time: 30.9076023102, propagate_backward_time: 48.7320327759, weight_update_time: 0.1090841964, other_time: 2.5713348389
epoch time: 6.4795670509s, input_fired_time: 0.0971956477, output_fired_time: 0.0000000000, propagate_forward_time: 5.9339900017, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4483814240
validation[          , genome  4478] predictions:    9636/  10000 (96.36%), best:    9648/10000 (96.48%), error:      1225.08350, best error:      1150.23389 on epoch:    39, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 82.7536239624s, input_fired_time: 0.9347570539, output_fired_time: 0.7583860755, propagate_forward_time: 30.5517921448, propagate_backward_time: 47.8510780334, weight_update_time: 0.1129524559, other_time: 2.6576156616
epoch time: 6.9549069405s, input_fired_time: 0.1044493467, output_fired_time: 0.0000000000, propagate_forward_time: 6.3923602104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4580974579
validation[          , genome  4478] predictions:    9625/  10000 (96.25%), best:    9648/10000 (96.48%), error:      1252.13098, best error:      1150.23389 on epoch:    39, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 83.9244155884s, input_fired_time: 0.9084445834, output_fired_time: 0.7376766205, propagate_forward_time: 31.4150848389, propagate_backward_time: 48.2272109985, weight_update_time: 0.1257936656, other_time: 2.6359939575
epoch time: 6.3990349770s, input_fired_time: 0.1011033282, output_fired_time: 0.0000000000, propagate_forward_time: 5.8188633919, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4790682793
validation[          , genome  4478] predictions:    9634/  10000 (96.34%), best:    9648/10000 (96.48%), error:      1205.96399, best error:      1150.23389 on epoch:    39, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 84.6417083740s, input_fired_time: 0.8878632188, output_fired_time: 0.7455505133, propagate_forward_time: 31.4151954651, propagate_backward_time: 48.8935852051, weight_update_time: 0.1403056681, other_time: 2.6995124817
epoch time: 6.8664956093s, input_fired_time: 0.1407222450, output_fired_time: 0.0000000000, propagate_forward_time: 6.2008018494, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5249714851
validation[          , genome  4478] predictions:    9616/  10000 (96.16%), best:    9648/10000 (96.48%), error:      1230.51697, best error:      1150.23389 on epoch:    39, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 85.4286651611s, input_fired_time: 0.8684065938, output_fired_time: 0.8247302771, propagate_forward_time: 31.6289672852, propagate_backward_time: 49.5502090454, weight_update_time: 0.1098230556, other_time: 2.5563507080
epoch time: 7.7713270187s, input_fired_time: 0.1346288174, output_fired_time: 0.0000000000, propagate_forward_time: 7.0582418442, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5784564018
validation[          , genome  4478] predictions:    9639/  10000 (96.39%), best:    9648/10000 (96.48%), error:      1206.20764, best error:      1150.23389 on epoch:    39, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 85.8066864014s, input_fired_time: 0.8521062136, output_fired_time: 0.7869814634, propagate_forward_time: 31.8004474640, propagate_backward_time: 49.6968345642, weight_update_time: 0.1105889678, other_time: 2.6703224182
epoch time: 7.3313946724s, input_fired_time: 0.1071639657, output_fired_time: 0.0000000000, propagate_forward_time: 6.7164835930, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5077471733
validation[          , genome  4478] predictions:    9639/  10000 (96.39%), best:    9648/10000 (96.48%), error:      1161.33850, best error:      1150.23389 on epoch:    39, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 84.9123077393s, input_fired_time: 0.8631066680, output_fired_time: 0.7762883306, propagate_forward_time: 31.3383560181, propagate_backward_time: 49.1538352966, weight_update_time: 0.1566902995, other_time: 2.7807197571
epoch time: 6.6145181656s, input_fired_time: 0.1018795967, output_fired_time: 0.0000000000, propagate_forward_time: 6.0709948540, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4416437149
validation[          , genome  4478] predictions:    9635/  10000 (96.35%), best:    9648/10000 (96.48%), error:      1239.67029, best error:      1150.23389 on epoch:    39, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 82.5227203369s, input_fired_time: 0.8261855841, output_fired_time: 0.7270763516, propagate_forward_time: 30.5622005463, propagate_backward_time: 47.7812995911, weight_update_time: 0.1091645211, other_time: 2.6259574890
epoch time: 6.0200648308s, input_fired_time: 0.1299761385, output_fired_time: 0.0000000000, propagate_forward_time: 5.4696841240, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4204044342
validation[          , genome  4478] predictions:    9622/  10000 (96.22%), best:    9648/10000 (96.48%), error:      1247.75732, best error:      1150.23389 on epoch:    39, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 78.6567687988s, input_fired_time: 0.8582918048, output_fired_time: 0.7764017582, propagate_forward_time: 29.0028114319, propagate_backward_time: 45.5493774414, weight_update_time: 0.1402133405, other_time: 2.4698829651
epoch time: 6.1027073860s, input_fired_time: 0.0999728069, output_fired_time: 0.0000000000, propagate_forward_time: 5.5886502266, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4140844345
validation[          , genome  4478] predictions:    9597/  10000 (95.97%), best:    9648/10000 (96.48%), error:      1326.40796, best error:      1150.23389 on epoch:    39, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 81.3621292114s, input_fired_time: 0.9334159493, output_fired_time: 0.6935244799, propagate_forward_time: 29.9850406647, propagate_backward_time: 47.1211395264, weight_update_time: 0.1083304882, other_time: 2.6290054321
epoch time: 6.5355997086s, input_fired_time: 0.0988412723, output_fired_time: 0.0000000000, propagate_forward_time: 5.9363560677, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5004024506
validation[          , genome  4478] predictions:    9635/  10000 (96.35%), best:    9648/10000 (96.48%), error:      1195.62012, best error:      1150.23389 on epoch:    39, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 79.9734649658s, input_fired_time: 0.9321379066, output_fired_time: 0.7850517631, propagate_forward_time: 29.8920021057, propagate_backward_time: 45.8676757813, weight_update_time: 0.1400938332, other_time: 2.4966011047
epoch time: 6.0238204002s, input_fired_time: 0.1122437119, output_fired_time: 0.0000000000, propagate_forward_time: 5.4931912422, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4183855057
validation[          , genome  4478] predictions:    9640/  10000 (96.40%), best:    9640/10000 (96.40%), error:      1144.01257, best error:      1144.01257 on epoch:    57, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 83.0361404419s, input_fired_time: 1.0033838749, output_fired_time: 0.6979458928, propagate_forward_time: 30.5627288818, propagate_backward_time: 48.1516342163, weight_update_time: 0.1096714363, other_time: 2.6204452515
epoch time: 6.7591323853s, input_fired_time: 0.0983917043, output_fired_time: 0.0000000000, propagate_forward_time: 6.1830434799, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4776973724
validation[          , genome  4478] predictions:    9639/  10000 (96.39%), best:    9640/10000 (96.40%), error:      1196.91675, best error:      1144.01257 on epoch:    57, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 78.3995971680s, input_fired_time: 0.7898656130, output_fired_time: 0.7025097609, propagate_forward_time: 29.0791549683, propagate_backward_time: 45.3164863586, weight_update_time: 0.1080043614, other_time: 2.5115852356
epoch time: 7.0379171371s, input_fired_time: 0.1011898667, output_fired_time: 0.0000000000, propagate_forward_time: 6.5097522736, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4269747734
validation[          , genome  4478] predictions:    9626/  10000 (96.26%), best:    9640/10000 (96.40%), error:      1209.64978, best error:      1144.01257 on epoch:    57, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 81.3501052856s, input_fired_time: 0.8711478114, output_fired_time: 0.6768237352, propagate_forward_time: 29.9290561676, propagate_backward_time: 47.1794776917, weight_update_time: 0.1080831885, other_time: 2.6935997009
epoch time: 7.5051198006s, input_fired_time: 0.1168144196, output_fired_time: 0.0000000000, propagate_forward_time: 6.9101619720, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4781432152
validation[          , genome  4478] predictions:    9637/  10000 (96.37%), best:    9640/10000 (96.40%), error:      1233.84180, best error:      1144.01257 on epoch:    57, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 80.9823226929s, input_fired_time: 0.8425536752, output_fired_time: 0.7530255914, propagate_forward_time: 29.9236640930, propagate_backward_time: 47.0580482483, weight_update_time: 0.1055759341, other_time: 2.4050292969
epoch time: 7.0307240486s, input_fired_time: 0.1051907390, output_fired_time: 0.0000000000, propagate_forward_time: 6.4847149849, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4408183098
validation[          , genome  4478] predictions:    9640/  10000 (96.40%), best:    9640/10000 (96.40%), error:      1180.40686, best error:      1144.01257 on epoch:    57, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 81.0293655396s, input_fired_time: 0.8205716610, output_fired_time: 0.6995384097, propagate_forward_time: 30.0831127167, propagate_backward_time: 46.9406776428, weight_update_time: 0.1070007831, other_time: 2.4854621887
epoch time: 6.7825222015s, input_fired_time: 0.0979657546, output_fired_time: 0.0000000000, propagate_forward_time: 6.1633648872, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5211915970
validation[          , genome  4478] predictions:    9643/  10000 (96.43%), best:    9640/10000 (96.40%), error:      1201.82092, best error:      1144.01257 on epoch:    57, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 83.3158798218s, input_fired_time: 0.8728460670, output_fired_time: 0.7372702360, propagate_forward_time: 31.0999069214, propagate_backward_time: 48.1802635193, weight_update_time: 0.1083196998, other_time: 2.4255943298
epoch time: 6.4038667679s, input_fired_time: 0.1022737697, output_fired_time: 0.0000000000, propagate_forward_time: 5.8745779991, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4270148277
validation[          , genome  4478] predictions:    9665/  10000 (96.65%), best:    9640/10000 (96.40%), error:      1144.67419, best error:      1144.01257 on epoch:    57, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_4478.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_4478_0_r130523382_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: 0.971613
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000469051
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.87621e-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: 64
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 57
read number_validation_images: 10000
read best_validation_predictions: 9640
read best_validation_error: 1144.01
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: 4478
read normal distribution: '0 0.254725486040115 -0.923928320407867'
generator_str: '1528102904'
read generator: 1528102904
read generated_by_map:
1 add_edge 1
reading 20 nodes.
reading 37 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 152.481094360352s, input_fired_time: 1.73930537700653, output_fired_time: 1.00575065612793, propagate_forward_time: 57.4555854797363, propagate_backward_time: 88.2074203491211, weight_update_time: 0.168569654226303, other_time: 4.07303619384766
epoch time: 11.3440732955933s, input_fired_time: 0.409206420183182, output_fired_time: 0, propagate_forward_time: 9.92570877075195, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.00915813446045
validation[          , genome  4478] predictions:    9624/  10000 (96.24%), best:    9640/10000 (96.40%), error:      1273.74316, best error:      1144.01257 on epoch:    57, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 154.1043701172s, input_fired_time: 1.9396258593, output_fired_time: 1.6215158701, propagate_forward_time: 57.2718658447, propagate_backward_time: 89.0034942627, weight_update_time: 0.4582614303, other_time: 4.2678680420
epoch time: 12.9068737030s, input_fired_time: 0.1426363885, output_fired_time: 0.0000000000, propagate_forward_time: 12.0827426910, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6814947128
validation[          , genome  4478] predictions:    9626/  10000 (96.26%), best:    9640/10000 (96.40%), error:      1215.59937, best error:      1144.01257 on epoch:    57, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 155.0362396240s, input_fired_time: 2.0411801338, output_fired_time: 1.9920010567, propagate_forward_time: 59.0690536499, propagate_backward_time: 87.6324768066, weight_update_time: 0.1838960350, other_time: 4.3015213013
epoch time: 12.4399108887s, input_fired_time: 0.1116628051, output_fired_time: 0.0000000000, propagate_forward_time: 11.1782827377, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1499652863
validation[          , genome  4478] predictions:    9627/  10000 (96.27%), best:    9640/10000 (96.40%), error:      1220.92810, best error:      1144.01257 on epoch:    57, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 156.6013641357s, input_fired_time: 1.5268278122, output_fired_time: 1.5426534414, propagate_forward_time: 58.0602760315, propagate_backward_time: 90.3883361816, weight_update_time: 0.1370098591, other_time: 5.0832824707
epoch time: 13.7436847687s, input_fired_time: 0.2529627979, output_fired_time: 0.0000000000, propagate_forward_time: 12.6063623428, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8843593597
validation[          , genome  4478] predictions:    9622/  10000 (96.22%), best:    9640/10000 (96.40%), error:      1273.04187, best error:      1144.01257 on epoch:    57, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 131.2546691895s, input_fired_time: 1.7725530863, output_fired_time: 1.4442656040, propagate_forward_time: 46.4721946716, propagate_backward_time: 77.4421691895, weight_update_time: 0.1524787098, other_time: 4.1234893799
epoch time: 9.7235279083s, input_fired_time: 0.1119756848, output_fired_time: 0.0000000000, propagate_forward_time: 9.1190137863, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4925384521
validation[          , genome  4478] predictions:    9660/  10000 (96.60%), best:    9640/10000 (96.40%), error:      1163.23157, best error:      1144.01257 on epoch:    57, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 120.0282135010s, input_fired_time: 1.6962875128, output_fired_time: 1.0394628048, propagate_forward_time: 47.3549194336, propagate_backward_time: 66.8136825562, weight_update_time: 0.1217406839, other_time: 3.1238632202
epoch time: 10.0712127686s, input_fired_time: 0.1120002493, output_fired_time: 0.0000000000, propagate_forward_time: 9.5002546310, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4589576721
validation[          , genome  4478] predictions:    9629/  10000 (96.29%), best:    9640/10000 (96.40%), error:      1236.92773, best error:      1144.01257 on epoch:    57, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 120.6950683594s, input_fired_time: 1.4305679798, output_fired_time: 0.7939710021, propagate_forward_time: 44.5223312378, propagate_backward_time: 70.7405624390, weight_update_time: 0.1213156804, other_time: 3.2076416016
epoch time: 9.9640359879s, input_fired_time: 0.1121978909, output_fired_time: 0.0000000000, propagate_forward_time: 9.3462162018, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5056219101
validation[          , genome  4478] predictions:    9642/  10000 (96.42%), best:    9640/10000 (96.40%), error:      1207.31372, best error:      1144.01257 on epoch:    57, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 118.7507934570s, input_fired_time: 1.1642425060, output_fired_time: 1.0564532280, propagate_forward_time: 41.6305618286, propagate_backward_time: 71.2186965942, weight_update_time: 0.1213371307, other_time: 3.6808395386
epoch time: 9.5375957489s, input_fired_time: 0.6123417616, output_fired_time: 0.0000000000, propagate_forward_time: 8.4505929947, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4746608734
validation[          , genome  4478] predictions:    9657/  10000 (96.57%), best:    9640/10000 (96.40%), error:      1168.91345, best error:      1144.01257 on epoch:    57, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 101.7325286865s, input_fired_time: 0.8855293393, output_fired_time: 1.2949534655, propagate_forward_time: 38.2391548157, propagate_backward_time: 58.0944824219, weight_update_time: 0.1153334901, other_time: 3.2184104919
epoch time: 6.8937935829s, input_fired_time: 0.1153129265, output_fired_time: 0.0000000000, propagate_forward_time: 6.3759245872, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4025559425
validation[          , genome  4478] predictions:    9554/  10000 (95.54%), best:    9640/10000 (96.40%), error:      1497.71887, best error:      1144.01257 on epoch:    57, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 78.6209411621s, input_fired_time: 0.8360028863, output_fired_time: 0.6909465790, propagate_forward_time: 29.1672763824, propagate_backward_time: 45.5436134338, weight_update_time: 0.1066743881, other_time: 2.3830986023
epoch time: 6.2335495949s, input_fired_time: 0.0999992192, output_fired_time: 0.0000000000, propagate_forward_time: 5.7278962135, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4056539536
validation[          , genome  4478] predictions:    9662/  10000 (96.62%), best:    9662/10000 (96.62%), error:      1118.38416, best error:      1118.38416 on epoch:    73, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 78.0812911987s, input_fired_time: 0.7939195633, output_fired_time: 0.6872050166, propagate_forward_time: 28.6888618469, propagate_backward_time: 45.4884490967, weight_update_time: 0.1066610888, other_time: 2.4228553772
epoch time: 5.7527608871s, input_fired_time: 0.0983853936, output_fired_time: 0.0000000000, propagate_forward_time: 5.2558817863, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3984937668
validation[          , genome  4478] predictions:    9645/  10000 (96.45%), best:    9662/10000 (96.62%), error:      1256.49622, best error:      1118.38416 on epoch:    73, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 76.2508392334s, input_fired_time: 0.8232876658, output_fired_time: 0.7351300120, propagate_forward_time: 28.1295108795, propagate_backward_time: 44.1204185486, weight_update_time: 0.1059365794, other_time: 2.4424934387
epoch time: 5.9967246056s, input_fired_time: 0.0993438363, output_fired_time: 0.0000000000, propagate_forward_time: 5.4986276627, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3987531662
validation[          , genome  4478] predictions:    9558/  10000 (95.58%), best:    9662/10000 (96.62%), error:      1514.26721, best error:      1118.38416 on epoch:    73, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 76.1603698730s, input_fired_time: 0.7826061249, output_fired_time: 0.6884172559, propagate_forward_time: 27.9757633209, propagate_backward_time: 44.3164825439, weight_update_time: 0.1045531705, other_time: 2.3971023560
epoch time: 5.8022961617s, input_fired_time: 0.0984836668, output_fired_time: 0.0000000000, propagate_forward_time: 5.3095970154, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3942155838
validation[          , genome  4478] predictions:    9629/  10000 (96.29%), best:    9662/10000 (96.62%), error:      1285.64014, best error:      1118.38416 on epoch:    73, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 76.8626937866s, input_fired_time: 0.8195978403, output_fired_time: 0.7248792052, propagate_forward_time: 28.2230129242, propagate_backward_time: 44.6671104431, weight_update_time: 0.1054455563, other_time: 2.4280967712
epoch time: 6.5268387794s, input_fired_time: 0.1017431393, output_fired_time: 0.0000000000, propagate_forward_time: 6.0044350624, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4206604958
validation[          , genome  4478] predictions:    9664/  10000 (96.64%), best:    9662/10000 (96.62%), error:      1128.57813, best error:      1118.38416 on epoch:    73, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 75.5486373901s, input_fired_time: 0.8315265775, output_fired_time: 0.6883510947, propagate_forward_time: 27.9947814941, propagate_backward_time: 43.8028335571, weight_update_time: 0.1038721874, other_time: 2.2311401367
epoch time: 6.4236660004s, input_fired_time: 0.1323629171, output_fired_time: 0.0000000000, propagate_forward_time: 5.8848824501, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4064207077
validation[          , genome  4478] predictions:    9551/  10000 (95.51%), best:    9662/10000 (96.62%), error:      1497.77979, best error:      1118.38416 on epoch:    73, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 75.9040145874s, input_fired_time: 0.8310130835, output_fired_time: 0.6529092789, propagate_forward_time: 27.9625988007, propagate_backward_time: 44.0494041443, weight_update_time: 0.1354527324, other_time: 2.4080848694
epoch time: 6.0373969078s, input_fired_time: 0.0996413231, output_fired_time: 0.0000000000, propagate_forward_time: 5.5365037918, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4012517929
validation[          , genome  4478] predictions:    9548/  10000 (95.48%), best:    9662/10000 (96.62%), error:      1525.18884, best error:      1118.38416 on epoch:    73, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 74.0388488770s, input_fired_time: 0.8656912446, output_fired_time: 0.6935361028, propagate_forward_time: 27.2381553650, propagate_backward_time: 42.9591293335, weight_update_time: 0.1194502562, other_time: 2.2823371887
epoch time: 5.9963650703s, input_fired_time: 0.0977464020, output_fired_time: 0.0000000000, propagate_forward_time: 5.4902915955, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4083271027
validation[          , genome  4478] predictions:    9657/  10000 (96.57%), best:    9662/10000 (96.62%), error:      1221.72217, best error:      1118.38416 on epoch:    73, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 74.2782516479s, input_fired_time: 0.7858479619, output_fired_time: 0.6544839144, propagate_forward_time: 27.6268482208, propagate_backward_time: 42.9407272339, weight_update_time: 0.1034799814, other_time: 2.2703399658
epoch time: 5.7428679466s, input_fired_time: 0.0978913084, output_fired_time: 0.0000000000, propagate_forward_time: 5.2529225349, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3920540810
validation[          , genome  4478] predictions:    9651/  10000 (96.51%), best:    9662/10000 (96.62%), error:      1190.29761, best error:      1118.38416 on epoch:    73, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 74.3499832153s, input_fired_time: 0.8939522505, output_fired_time: 0.6853028536, propagate_forward_time: 27.4642391205, propagate_backward_time: 43.0511093140, weight_update_time: 0.1037897766, other_time: 2.2553787231
epoch time: 5.8084430695s, input_fired_time: 0.0984330401, output_fired_time: 0.0000000000, propagate_forward_time: 5.2892689705, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4207410812
validation[          , genome  4478] predictions:    9641/  10000 (96.41%), best:    9662/10000 (96.62%), error:      1206.27808, best error:      1118.38416 on epoch:    73, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 73.3064880371s, input_fired_time: 0.8168465495, output_fired_time: 0.6864233613, propagate_forward_time: 27.0517635345, propagate_backward_time: 42.4352569580, weight_update_time: 0.1196405515, other_time: 2.3161926270
epoch time: 6.1085548401s, input_fired_time: 0.0977750793, output_fired_time: 0.0000000000, propagate_forward_time: 5.6237893105, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3869905472
validation[          , genome  4478] predictions:    9643/  10000 (96.43%), best:    9662/10000 (96.62%), error:      1219.50378, best error:      1118.38416 on epoch:    73, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 74.9814071655s, input_fired_time: 0.8161091208, output_fired_time: 0.6538087726, propagate_forward_time: 27.6919021606, propagate_backward_time: 43.4892044067, weight_update_time: 0.1036551148, other_time: 2.3303833008
epoch time: 5.9322924614s, input_fired_time: 0.1461728215, output_fired_time: 0.0000000000, propagate_forward_time: 5.3911228180, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3949966431
validation[          , genome  4478] predictions:    9664/  10000 (96.64%), best:    9662/10000 (96.62%), error:      1204.97693, best error:      1118.38416 on epoch:    73, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 76.9660491943s, input_fired_time: 0.8695716262, output_fired_time: 0.6973843575, propagate_forward_time: 28.3433494568, propagate_backward_time: 44.6933403015, weight_update_time: 0.1081740484, other_time: 2.3624038696
epoch time: 6.4803047180s, input_fired_time: 0.1030472443, output_fired_time: 0.0000000000, propagate_forward_time: 5.9017105103, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4755468369
validation[          , genome  4478] predictions:    9646/  10000 (96.46%), best:    9662/10000 (96.62%), error:      1183.55994, best error:      1118.38416 on epoch:    73, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 79.6303787231s, input_fired_time: 0.8488739729, output_fired_time: 0.7283090353, propagate_forward_time: 29.5418910980, propagate_backward_time: 46.0405502319, weight_update_time: 0.1098539755, other_time: 2.4707489014
epoch time: 6.0177903175s, input_fired_time: 0.1004938334, output_fired_time: 0.0000000000, propagate_forward_time: 5.5124759674, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4048204422
validation[          , genome  4478] predictions:    9645/  10000 (96.45%), best:    9662/10000 (96.62%), error:      1195.42346, best error:      1118.38416 on epoch:    73, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 78.8302001953s, input_fired_time: 0.8163589239, output_fired_time: 0.7550364733, propagate_forward_time: 29.0449962616, propagate_backward_time: 45.7934417725, weight_update_time: 0.1252649724, other_time: 2.4203643799
epoch time: 7.1952309608s, input_fired_time: 0.1043589935, output_fired_time: 0.0000000000, propagate_forward_time: 6.6435542107, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4473176003
validation[          , genome  4478] predictions:    9644/  10000 (96.44%), best:    9662/10000 (96.62%), error:      1202.08630, best error:      1118.38416 on epoch:    73, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 122.6621170044s, input_fired_time: 0.9861970544, output_fired_time: 0.8338311911, propagate_forward_time: 44.1906852722, propagate_backward_time: 72.3679122925, weight_update_time: 0.1370534003, other_time: 4.2834854126
epoch time: 10.4024782181s, input_fired_time: 0.1612444073, output_fired_time: 0.0000000000, propagate_forward_time: 9.7181844711, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5230493546
validation[          , genome  4478] predictions:    9634/  10000 (96.34%), best:    9662/10000 (96.62%), error:      1218.06714, best error:      1118.38416 on epoch:    73, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 119.3234252930s, input_fired_time: 1.3790127039, output_fired_time: 1.0683577061, propagate_forward_time: 45.0164985657, propagate_backward_time: 68.3044509888, weight_update_time: 0.3715566099, other_time: 3.5551071167
epoch time: 10.1639127731s, input_fired_time: 0.1139161810, output_fired_time: 0.0000000000, propagate_forward_time: 9.3397884369, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7102079391
validation[          , genome  4478] predictions:    9623/  10000 (96.23%), best:    9662/10000 (96.62%), error:      1214.01001, best error:      1118.38416 on epoch:    73, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 120.2172927856s, input_fired_time: 1.4398651123, output_fired_time: 1.1054913998, propagate_forward_time: 45.3793907166, propagate_backward_time: 68.5342025757, weight_update_time: 0.1369513720, other_time: 3.7583389282
epoch time: 9.8788070679s, input_fired_time: 0.1145249680, output_fired_time: 0.0000000000, propagate_forward_time: 8.8049659729, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9593162537
validation[          , genome  4478] predictions:    9648/  10000 (96.48%), best:    9662/10000 (96.62%), error:      1218.12866, best error:      1118.38416 on epoch:    73, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 121.4330978394s, input_fired_time: 1.1881316900, output_fired_time: 1.0838663578, propagate_forward_time: 46.9529228210, propagate_backward_time: 68.3705368042, weight_update_time: 0.1208733022, other_time: 3.8376388550
epoch time: 9.9648714066s, input_fired_time: 0.1136207506, output_fired_time: 0.0000000000, propagate_forward_time: 9.1416397095, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7096109390
validation[          , genome  4478] predictions:    9597/  10000 (95.97%), best:    9662/10000 (96.62%), error:      1340.75659, best error:      1118.38416 on epoch:    73, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 120.5083694458s, input_fired_time: 1.2354338169, output_fired_time: 1.1022322178, propagate_forward_time: 43.5297698975, propagate_backward_time: 71.4761199951, weight_update_time: 0.1209941208, other_time: 3.1648101807
epoch time: 9.6677312851s, input_fired_time: 0.1135823503, output_fired_time: 0.0000000000, propagate_forward_time: 9.0476636887, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5064849854
validation[          , genome  4478] predictions:    9657/  10000 (96.57%), best:    9662/10000 (96.62%), error:      1135.23621, best error:      1118.38416 on epoch:    73, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 120.6048660278s, input_fired_time: 1.1749304533, output_fired_time: 1.3824813366, propagate_forward_time: 45.9338340759, propagate_backward_time: 69.4806060791, weight_update_time: 0.1212762892, other_time: 2.6330108643
epoch time: 9.7488288879s, input_fired_time: 0.1140656844, output_fired_time: 0.0000000000, propagate_forward_time: 9.1748485565, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4599142075
validation[          , genome  4478] predictions:    9623/  10000 (96.23%), best:    9662/10000 (96.62%), error:      1274.42847, best error:      1118.38416 on epoch:    73, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 118.2404785156s, input_fired_time: 1.4095948935, output_fired_time: 0.7856906652, propagate_forward_time: 44.9408454895, propagate_backward_time: 67.6571426392, weight_update_time: 0.1210248917, other_time: 3.4472122192
epoch time: 9.9896297455s, input_fired_time: 0.3641960919, output_fired_time: 0.0000000000, propagate_forward_time: 8.8853158951, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7401180267
validation[          , genome  4478] predictions:    9620/  10000 (96.20%), best:    9662/10000 (96.62%), error:      1295.22314, best error:      1118.38416 on epoch:    73, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 119.2238998413s, input_fired_time: 1.3941364288, output_fired_time: 1.0396342278, propagate_forward_time: 44.0368347168, propagate_backward_time: 68.0731048584, weight_update_time: 0.3713779747, other_time: 4.6801910400
epoch time: 9.3562068939s, input_fired_time: 0.1144635007, output_fired_time: 0.0000000000, propagate_forward_time: 8.7828083038, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4589347839
validation[          , genome  4478] predictions:    9640/  10000 (96.40%), best:    9662/10000 (96.62%), error:      1177.23853, best error:      1118.38416 on epoch:    73, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 120.3588333130s, input_fired_time: 1.1451823711, output_fired_time: 0.7723538280, propagate_forward_time: 45.5185852051, propagate_backward_time: 69.4302978516, weight_update_time: 0.1210581511, other_time: 3.4924163818
epoch time: 10.0435056686s, input_fired_time: 0.1150887087, output_fired_time: 0.0000000000, propagate_forward_time: 9.1871128082, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7413043976
validation[          , genome  4478] predictions:    9625/  10000 (96.25%), best:    9662/10000 (96.62%), error:      1239.60437, best error:      1118.38416 on epoch:    73, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 117.5200500488s, input_fired_time: 1.4129067659, output_fired_time: 1.0533479452, propagate_forward_time: 43.1773300171, propagate_backward_time: 68.9934921265, weight_update_time: 0.3713070154, other_time: 2.8829727173
epoch time: 9.9659757614s, input_fired_time: 0.1156498715, output_fired_time: 0.0000000000, propagate_forward_time: 9.3911371231, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4591884613
validation[          , genome  4478] predictions:    9633/  10000 (96.33%), best:    9662/10000 (96.62%), error:      1286.75903, best error:      1118.38416 on epoch:    73, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 117.8233718872s, input_fired_time: 0.9587515593, output_fired_time: 0.8339195848, propagate_forward_time: 44.6154212952, propagate_backward_time: 68.0901794434, weight_update_time: 0.1369627416, other_time: 3.3251037598
epoch time: 9.6158933640s, input_fired_time: 0.1151225120, output_fired_time: 0.0000000000, propagate_forward_time: 9.0098590851, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4909114838
validation[          , genome  4478] predictions:    9605/  10000 (96.05%), best:    9662/10000 (96.62%), error:      1340.17371, best error:      1118.38416 on epoch:    73, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 117.5052413940s, input_fired_time: 0.8985235095, output_fired_time: 1.0374578238, propagate_forward_time: 44.4507789612, propagate_backward_time: 67.5446166992, weight_update_time: 0.1211574972, other_time: 3.5738677979
epoch time: 9.6235408783s, input_fired_time: 0.1151388660, output_fired_time: 0.0000000000, propagate_forward_time: 8.7978124619, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7105894089
validation[          , genome  4478] predictions:    9634/  10000 (96.34%), best:    9662/10000 (96.62%), error:      1241.46582, best error:      1118.38416 on epoch:    73, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 117.2778091431s, input_fired_time: 1.1641336679, output_fired_time: 1.3026030064, propagate_forward_time: 44.9338188171, propagate_backward_time: 66.6946563721, weight_update_time: 0.3714864850, other_time: 3.1826019287
epoch time: 9.3279447556s, input_fired_time: 0.1149340570, output_fired_time: 0.0000000000, propagate_forward_time: 8.7531223297, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4598884583
validation[          , genome  4478] predictions:    9639/  10000 (96.39%), best:    9662/10000 (96.62%), error:      1213.51404, best error:      1118.38416 on epoch:    73, 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: 47.0826530457s, input_fired_time: 0.5636511445, output_fired_time: 0.0000000000, propagate_forward_time: 43.3614006042, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1576004028
best training[          , genome  4478] predictions:   49113/  50000 (98.23%), best:    9662/10000 (96.62%), error:      3272.47266, best error:      1118.38416 on epoch:    73, 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: 9.5009622574s, input_fired_time: 0.1111973897, output_fired_time: 0.0000000000, propagate_forward_time: 8.6787939072, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7109708786
   testing[          , genome  4478] predictions:    9700/  10000 (97.00%), best:    9662/10000 (96.62%), error:       990.06403, best error:      1118.38416 on epoch:    73, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
00:44:53 (10588): called boinc_finish(0)

</stderr_txt>
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